197 20 11858 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Book Chapter Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource IoT-Enabled Analysis of COVID Data: Unveiling Insights from Temperature, Pulse Rate, and Oxygen Measurements Subject The topic of the resource COVID-19; Health monitoring systems; IoT-enabled analysis; Measurements; Sensors; Temperature-pulse rate-oxygen Description An account of the resource The COVID-19 pandemic has forced unparalleled transformation on healthcare systems around the world, demanding new and improved approaches for effective monitoring and diagnosis. In this context, we present a study titled IoT-Enabled Analysis of COVID Data: Unveiling Insights from Temperature, Pulse Rate, and Oxygen Measurements. The global impact of COVID-19, with millions of confirmed cases and fatalities, underscores the urgency of finding efficient monitoring solutions. To address this crisis, IoT-Enabled Health Monitoring Systems have emerged as a promising tool for remote patient monitoring and infection risk reduction. These systems leverage sensors to collect real-time data on the temperature, pulse rate, and oxygen saturation levels of the subject. The integration of a mobile application enables immediate access to this critical health information. In this study, we explore the use of IoT systems, which have demonstrated accuracy comparable to other devices on the market. By leveraging these technologies, we aim to provide healthcare professionals with valuable insights into patients health status, aiding in early detection, monitoring, and timely intervention. Our research contributes to the efforts to battle the COVID-19 pandemic by highlighting the potential of IoT-enabled monitoring systems in enhancing healthcare delivery, reducing infection risks, and ultimately saving lives. 2024 Scrivener Publishing LLC. Creator An entity primarily responsible for making the resource John J.; Kumar K.P.; Murthy H. Source A related resource from which the described resource is derived Internet of Things in Bioelectronics: Emerging Technologies and Applications, pp. 297-310. Publisher An entity responsible for making the resource available wiley Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1002/9781394241903.ch14" target="_blank" rel="noreferrer noopener">https://doi.org/10.1002/9781394241903.ch14</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85208311870&doi=10.1002%2F9781394241903.ch14&partnerID=40&md5=d1aab72927d0255ee294912ae7e89722" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85208311870&doi=10.1002%2f9781394241903.ch14&partnerID=40&md5=d1aab72927d0255ee294912ae7e89722</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-139424190-3; 978-139424187-3 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Book chapter Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant John J., Computer Science and Engineering, School of Engineering and Technology, CHRIST (Deemed to be University), Kengeri Campus, Karnataka, Bangalore, India; Kumar K.P., Computer Science and Engineering, School of Engineering and Technology, CHRIST (Deemed to be University), Kengeri Campus, Karnataka, Bangalore, India; Murthy H., Electronics and Communication Engineering, School of Engineering and Technology, CHRIST (Deemed to be University), Kengeri Campus, Karnataka, Bangalore, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Integrating AI Tools into HRM to Promote Green HRM Practices Subject The topic of the resource AI; Green HRM; HRM; Sustainability Description An account of the resource The image of Human Resource Management (HRM) is undergoing a drastic transformation. The conventional methods are evolving due to the emergence of technology, especially with the integration of Artificial Intelligence (AI) and data analytics into the HR processes. With the rapidly changing concept of the overall growth of an organization, AI is becoming a vital stimulant for sustainable growth. AI-powered tools promote data-driven decision-making for talent acquisition, performance management, workforce training and development, optimization of energy consumption and waste reduction. Green HRM aligns these efforts by integrating sustainability considerations into talent management strategies, nurturing employees eco-engagement, and promoting environmentally responsible practices within the workforce. This research paper aims to explore the synergies between AI tools and Green HRM practices, investigating how the integration of AI technologies into HR processes can contribute to the promotion of environmental sustainability. By examining real-world case studies, this study aims to investigate the potential of AI-powered solutions in shaping the future of HRM through the lens of sustainability. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024. Creator An entity primarily responsible for making the resource John J.E.; Pramila S. Source A related resource from which the described resource is derived Lecture Notes in Networks and Systems, Vol-878, pp. 249-259. Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-99-9489-2_22" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-99-9489-2_22</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85189563916&doi=10.1007%2F978-981-99-9489-2_22&partnerID=40&md5=4395bfc01da2b0b6604fb46b36f2cb5b" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85189563916&doi=10.1007%2f978-981-99-9489-2_22&partnerID=40&md5=4395bfc01da2b0b6604fb46b36f2cb5b</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 23673370; ISBN: 978-981999488-5 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant John J.E., Christ (CHRIST (Deemed to be University), Delhi NCR, India; Pramila S., Christ (CHRIST (Deemed to be University), Delhi NCR, India https://archives.christuniversity.in/files/original/c2451af55205c6c4075b0b90e52d2a98.pdf 733f4c083719de1867f74609069bfa21 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource MPHIL Mphil Mphil Thesis Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Quantitative X-ray and Spectroscopic Analysis of Nanocrystalline and Amorphous Carbon Materials Creator An entity primarily responsible for making the resource John Jerin Date A point or period of time associated with an event in the lifecycle of the resource 2014 Source A related resource from which the described resource is derived Department of Physics Description An account of the resource Carbon and its various allotropic forms is a blooming and extensively investigated field for the past few decades. The revolution which started with the discovery of fullerenes in 1985 continues with the newly discovered wonder material graphene and has never failed to amass the interest of scientific community. After all these years it still stays as a hot topic of research. This is primarily due to their unique physical and chemical properties which makes them suitable for a whole host of applications ranging from thin film technology to nano-medicine. But, the production cost of these novel materials is an issue which shadows its glory and hence it is essential to find out efficient and cost effective sources and production methods for these materials. Graphene oxide has attracted much interest because of its low cost, easy access and unique ability to get converted into graphene. Graphene oxide is basically, a graphene sheet which consists of either carboxyl or hydroxyl groups. Foreseeing the upcoming era of carbon nanomaterials on account of their revolutionary applications and the ever increasing demand for economical and viable sources, we have identified and explored the structural parameters of an efficient and cost effective precursor of the same. In the present investigation, wood charcoal and coconut shell charcoal, which is a superior source of activated carbon, is produced by a slow thermal decomposition method in a limited supply of oxygen. It is an impure form of carbon- is a black residue composed mainly of carbon, ash and char. Wood charcoal is transformed into Graphite oxide (GO) by a modified Hummers method. Spectroscopic analysis of the samples is carried out by various techniques such as X-ray diffraction (XRD), Raman Spectroscopy, Fourier Transform Infrared Spectroscopy (FTIR), X-ray Photoelectron Spectroscopy (XPS), UV-Vis spectroscopy and Scanning Electron Microscopy (SEM). The various structural parameters are calculated from XRD and Raman data. https://archives.christuniversity.in/files/original/fa297ccfc06a156f320de0d90b94748f.pdf 5c4d93996ccfa3d1ab9f1e4d18fd674b Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource MPHIL Mphil Mphil Thesis Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource The influence of parental migration on coping experiences of adolescents Creator An entity primarily responsible for making the resource John Jyothi M. Date A point or period of time associated with an event in the lifecycle of the resource 2015 Source A related resource from which the described resource is derived Psychology Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource PICTURE PROCESSING ON ISOMETRIC FUZZY REGULAR ARRAY LANGUAGES Subject The topic of the resource Boustrophedon fuzzy finite automata; isometric regular array grammars; picture languages; two dimensional fuzzy regular languages Description An account of the resource Isometric array grammar is one of the simplest model to generate picture languages, since both sides of its production rule have the same shape. In this paper, we have introduced isometric fuzzy regular array grammars to generate isometric fuzzy regular array languages and discussed its closure properties. Also, the relation between isometric fuzzy regular array grammar and boustrophedon fuzzy finite automata has been discussed. Moreover, we study the relation between two dimensional fuzzy regular grammars with returning fuzzy finite automata and boustrophedon fuzzy finite automata. Further, the hierarchy results of these three classes of languages have been discussed. 2024 KSCAM. Creator An entity primarily responsible for making the resource John Kaspar A.; Sheena Chiristy D.K.; Thomas D.G. Source A related resource from which the described resource is derived Journal of Applied Mathematics and Informatics, Vol-42, No. 3, pp. 483-497. Publisher An entity responsible for making the resource available Korean Society for Computational and Applied Mathematics Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.14317/jami.2024.483" target="_blank" rel="noreferrer noopener">https://doi.org/10.14317/jami.2024.483</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85195682510&doi=10.14317%2Fjami.2024.483&partnerID=40&md5=a63b0b41673e2580e6cd4ca0373e1ba1" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85195682510&doi=10.14317%2fjami.2024.483&partnerID=40&md5=a63b0b41673e2580e6cd4ca0373e1ba1</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 27341194 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant John Kaspar A., Department of Mathematics, CHRIST (Deemed to be University), Karnataka, Bengaluru, 560029, India; Sheena Chiristy D.K., Department of Mathematics, Faculty of Engineering and Technology, SRM Institute of Science and Technology, Kattankulathur, Tamilnadu, Chengalpattu, 603 203, India; Thomas D.G., Department of Mathematics, Madras Christian College, Chennai, Tambaram, 600 059, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource On Two-Dimensional Approximate Pattern Matching Using Fuzzy Automata Subject The topic of the resource Array matching; Fuzzy automata; Pattern matching; Position specific approximate pattern matching Description An account of the resource Pattern matching has been extensively studied in the last few decades, owing to its great contribution in various fields such as search engines, computational biology, etc. Several real-life situations require patterns that allow ambiguity in specified positions. In this paper, one-dimensional and two-dimensional approximate pattern matching models have been constructed using fuzzy automata. The similarity function used in fuzzy automata enables the occurrence of all exact and similar one-dimensional and two-dimensional patterns. This kind of searching approximate patterns is not possible with regular search models. The time complexity of the proposed algorithm has also been analyzed. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024. Creator An entity primarily responsible for making the resource John Kaspar A.; Sheena Christy D.K. Source A related resource from which the described resource is derived Lecture Notes in Networks and Systems, Vol-994 LNNS, pp. 595-612. Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-97-3180-0_39" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-97-3180-0_39</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85200685063&doi=10.1007%2F978-981-97-3180-0_39&partnerID=40&md5=9c169fd8faaf1ebc54f057a5d4afa4e5" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85200685063&doi=10.1007%2f978-981-97-3180-0_39&partnerID=40&md5=9c169fd8faaf1ebc54f057a5d4afa4e5</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 23673370; ISBN: 978-981973179-4 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant John Kaspar A., Department of mathematics, Christ University, Karnataka, Bengaluru, 560029, India; Sheena Christy D.K., Department of mathematics, SRM Institute of Science and Technology, Tamil Nadu, Kattankulathur, 603203, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Two dimensional fuzzy context-free languages and tiling patterns Subject The topic of the resource Fuzzy languages; Fuzzy pushdown automata; Picture languages; Two dimensional fuzzy languages Description An account of the resource Fuzzy context-free languages are powerful compared to fuzzy regular languages as they are generated by fuzzy context-free grammars and fuzzy pushdown automata, which follow an enhanced computational mechanism. A two dimensional language (picture language) is a collection of two dimensional words, which are a rectangular array of symbols made up of finite alphabets. Two dimensional automata can recognize two dimensional languages that could not be recognized by one dimensional automata. In this paper, we introduce two dimensional fuzzy context-free languages generated by the two dimensional fuzzy context-free grammars and accepted by the two dimensional fuzzy pushdown automata in order to deal with the vagueness that arises in two dimensional context-free languages. We can construct a two dimensional fuzzy context free grammar from the given two dimensional fuzzy pushdown automata and vice versa. In addition, we prove that two dimensional fuzzy context-free languages are closed under union, column concatenation, column star, homomorphism, inverse homomorphism, reflection about right-most vertical, reflection about base, conjugation and half-turn and also show that two dimensional fuzzy context-free languages are not closed under matrix homomorphism, quarter-turn and transpose. Further, we have given the applications and the uses of closure properties in the formation of tiling patterns. 2024 Elsevier B.V. Creator An entity primarily responsible for making the resource John Kaspar A.; Sheena Christy D.K.; Masilamani V.; Thomas D.G. Source A related resource from which the described resource is derived Fuzzy Sets and Systems, Vol-485 Publisher An entity responsible for making the resource available Elsevier B.V. Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1016/j.fss.2024.108961" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.fss.2024.108961</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85189547292&doi=10.1016%2Fj.fss.2024.108961&partnerID=40&md5=79f445df0eb5570688ca5d0386587a3b" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85189547292&doi=10.1016%2fj.fss.2024.108961&partnerID=40&md5=79f445df0eb5570688ca5d0386587a3b</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 1650114; CODEN: FSSYD Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant John Kaspar A., Department of Mathematics, CHRIST (Deemed to be University), Karnataka, Bengaluru, 560 029, India; Sheena Christy D.K., Department of Mathematics, SRM Institute of Scinece and Technology, TamilNadu, Kattankulathur, Chennai, 603 203, India; Masilamani V., Department of Computer Science, Indian Institute of Information and Design Manufacturing, TamilNadu, Kancheepuram, Chennai, 600 127, India; Thomas D.G., Department of mathematics, Madras Christian College, Former Professor, Tambaram, TamilNadu, Chennai, 600 059, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Informal Waste Recycling in Dharavi A Marxist Feminist Reading of The Women of Wasteland Description An account of the resource [No abstract available] Creator An entity primarily responsible for making the resource John N. Source A related resource from which the described resource is derived Economic and Political Weekly, Vol-59, No. 10, pp. 64-65. Publisher An entity responsible for making the resource available Economic and Political Weekly Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="" target="_blank" rel="noreferrer noopener"></a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85187362550&partnerID=40&md5=a214d179d88a6d39b78fbfb6b8461318" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85187362550&partnerID=40&md5=a214d179d88a6d39b78fbfb6b8461318</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 129976 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant John N., Christ (Deemed to be University), Bengaluru, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource An adaptive inertia weight teachinglearning-based optimization for optimal energy balance in microgrid considering islanded conditions Subject The topic of the resource Adaptive teachinglearning-based optimization; Islanding mode; Microgrid; Multi-objective optimization; Optimal load control; Renewable energy Description An account of the resource The energy balance in islanded microgrids is a complex task due to various operational constraints. This paper proposes a new approach to multi-objective optimization for achieving energy balance in aMicrogrid(MG) in both islanded and normal modes. Optimal load control (OLC)is achallenge, due to a lack of capacity to generate the global optimum after each run. The latest variant of Teaching Learning Based Optimization (TLBO), known as Adaptive-TLBO, includes both modifications during exploitation and exploration stages (ATLBO). The results achievedwith the proposed method are exceptional on a modified IEEE 33-bus system. In addition to the improvement of the voltage profile and the decrease of the distribution losses, the energy balance improves with the method. The proposed ATLBO algorithm overrides any proposed other algorithm, as shown by comparison with PSO, base TLBO, Backtrackingsearch algorithm (BSA) and cuckoo search algorithms, etc. (CSA). The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022. Creator An entity primarily responsible for making the resource John N.; Janamala V.; Rodrigues J. Source A related resource from which the described resource is derived Energy Systems, Vol-15, No. 1, pp. 141-166. Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/s12667-022-00526-3" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s12667-022-00526-3</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85144244040&doi=10.1007%2Fs12667-022-00526-3&partnerID=40&md5=8ee8a021c2d32891f59fd5939f18072c" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85144244040&doi=10.1007%2fs12667-022-00526-3&partnerID=40&md5=8ee8a021c2d32891f59fd5939f18072c</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 18683967 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant John N., School of Engineering and Technology, CHRIST (Deemed to be University), Karnataka, Bangalore, 560074, India; Janamala V., School of Engineering and Technology, CHRIST (Deemed to be University), Karnataka, Bangalore, 560074, India; Rodrigues J., School of Engineering and Technology, CHRIST (Deemed to be University), Karnataka, Bangalore, 560074, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Optimal Load Control for Economic Energy Equilibrium in Smart Grid Using Adaptive Inertia Weight Teaching-Learning-Based Optimization Subject The topic of the resource Adaptive teaching-learning-based optimization; Multi-objective optimization; Optimal load control; Smart grid Description An account of the resource Due to numerous operational restrictions and economic purposes, optimal load management for energy balance in the smart grid (SG) is one of the compensating responsibilities. This research provides a novel multiobjective optimization technique for attaining energy balance in SG, with the goal of avoiding fines due to excessive upstream network power extraction beyond contractual demand. Due to a lack of capacity to create the whole optimization towards the global optimum after each run, optimal load control (OLC) is a prevalent challenge. Adaptive-TLBO, the most recent variation of Teaching Learning Based Optimization (TLBO), comprises both alterations during the exploitation and exploration phases (ATLBO). Because the ATLBO is used on a modified IEEE 33-bus system, the results obtained in this mode are extraordinary. The energy balance has improved in addition to the enhancement of the voltage profile and the reduction of distribution losses. As evidenced by comparisons with PSO, basic TLBO, backtracking search algorithm (BSA), and cuckoo search algorithms, the suggested ATLBO algorithm has precedence over any other proposed algorithm (CSA) 2022, International Journal of Intelligent Engineering and Systems.All Rights Reserved. Creator An entity primarily responsible for making the resource John N.; Janamala V.; Rodrigues J. Source A related resource from which the described resource is derived International Journal of Intelligent Engineering and Systems, Vol-15, No. 2, pp. 243-250. Publisher An entity responsible for making the resource available Intelligent Network and Systems Society Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.22266/ijies2022.0430.22" target="_blank" rel="noreferrer noopener">https://doi.org/10.22266/ijies2022.0430.22</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85126823587&doi=10.22266%2Fijies2022.0430.22&partnerID=40&md5=0e3019688c96fa892fb2a4027fcee942" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85126823587&doi=10.22266%2fijies2022.0430.22&partnerID=40&md5=0e3019688c96fa892fb2a4027fcee942</a> Rights Information about rights held in and over the resource All Open Access; Bronze Open Access Relation A related resource ISSN: 2185310X Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant John N., Department of Electrical and Electronics Engineering, School of Engineering and Technology, CHRIST (Deemed to be University), Karnataka, Bangalore, 560074, India; Janamala V., Department of Electrical and Electronics Engineering, School of Engineering and Technology, CHRIST (Deemed to be University), Karnataka, Bangalore, 560074, India; Rodrigues J., Department of Electrical and Electronics Engineering, School of Engineering and Technology, CHRIST (Deemed to be University), Karnataka, Bangalore, 560074, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Book Chapter Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Optimal DG Planning and Operation for Enhancing Cost Effectiveness of Reactive Power Purchase Subject The topic of the resource LebTLBO; Optimal DG deployment; Reactive power cost; Voltage stability Description An account of the resource The demand for reactive power support from distributed generation (DG) sources has become increasingly necessary due to the growing penetration of DG in the distribution network. Photovoltaic (PV) systems, fuel cells, micro-turbines, and other inverter-based devices can generate reactive power. While maximizing profits by selling as much electricity as possible to the distribution companies (DisCos) is the main motive for the DG owners, technical parameters like voltage stability, voltage profile and distribution losses are of primary concern to the (DisCos). Local voltage regulation can reduce system losses, improve voltage stability and thereby improve efficiency and reliability of the system. Participating in reactive power compensation reduces the revenue generating active power from DG, thereby reducing DG owners profits. Payment for reactive power is therefore being looked at as a possibility in recent times. Optimal power factor (pf) of operation of DG becomes significant in this scenario. The study in this paper is presented in two parts. The first part proposes a novel method for determining optimal sizes and locations of distributed generation in a radial distribution network. The method proposed is based on the recent optimization algorithm, TeachingLearning-Based Optimization with Learning Enthusiasm Mechanism (LebTLBO). The effectiveness of the method has been compared with existing methods in the literature. The second part deals with the determination of optimal pf of operation of DG sources to minimize reactive power cost, reduce distribution losses and improve voltage stability. The approachs effectiveness has been tested with IEEE 33 and 69 bus radial distribution systems. 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. Creator An entity primarily responsible for making the resource John N.; Janamala V.; Rodrigues J. Source A related resource from which the described resource is derived Lecture Notes on Data Engineering and Communications Technologies, Vol-111, pp. 477-490. Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-16-9113-3_35" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-16-9113-3_35</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85133500674&doi=10.1007%2F978-981-16-9113-3_35&partnerID=40&md5=2ec96188195d9d195bfd35a0179c2964" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85133500674&doi=10.1007%2f978-981-16-9113-3_35&partnerID=40&md5=2ec96188195d9d195bfd35a0179c2964</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 23674512 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Book chapter Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant John N., Department of Electrical and Electronics Engineering, School of Engineering and Technology, Christ (Deemed to be University), Karnataka, Bangalore, 560074, India; Janamala V., Department of Electrical and Electronics Engineering, School of Engineering and Technology, Christ (Deemed to be University), Karnataka, Bangalore, 560074, India; Rodrigues J., Department of Electrical and Electronics Engineering, School of Engineering and Technology, Christ (Deemed to be University), Karnataka, Bangalore, 560074, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Teaching Learning-Based Optimization with Learning EnthusiasmMechanism for Optimal Control of PV Inverters in Utility Grids for Techno-Economic Goals Subject The topic of the resource Energy cost; LebTLBO; Optimal deployment; Utility-owned DG Description An account of the resource This study presents the optimal placement and operation of distributed generation (DG) sources in a distribution system embedded with utility-owned DG sources. Cost minimization and technical improvement of the network are the key objectives of the distribution company (DisCo). With the increasing popularity for renewable energy sources, DisCos are installing their own DGs to fulfill their electricity demand partially. When DisCos are the DG owners, the technical and economic considerations overlap. A novel method is proposed in this paper based on the recent variant of the teaching learning-based optimization (TLBO) algorithm and learning enthusiasm-based TLBO (LebTLBO) to optimize locations, sizes, and operational power factors of DGs in a distribution system with DisCo-owned DGs. A multi-objective function to improve voltage stability, reduce distribution losses, and reduce energy costs has been considered for solving the problem. 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. Creator An entity primarily responsible for making the resource John N.; Janamala V.; Rodrigues J. Source A related resource from which the described resource is derived Lecture Notes in Electrical Engineering, Vol-928, pp. 1-13. Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-19-5482-5_1" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-19-5482-5_1</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85145007511&doi=10.1007%2F978-981-19-5482-5_1&partnerID=40&md5=685bd7a91063d4f7f31e528200e3e752" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85145007511&doi=10.1007%2f978-981-19-5482-5_1&partnerID=40&md5=685bd7a91063d4f7f31e528200e3e752</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 18761100; ISBN: 978-981195481-8 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant John N., Department of Electrical and Electronics Engineering, School of Engineering and Technology, Christ (Deemed to Be University), Karnataka, Bangalore, 560 074, India; Janamala V., Department of Electrical and Electronics Engineering, School of Engineering and Technology, Christ (Deemed to Be University), Karnataka, Bangalore, 560 074, India; Rodrigues J., Department of Electrical and Electronics Engineering, School of Engineering and Technology, Christ (Deemed to Be University), Karnataka, Bangalore, 560 074, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Impact of Variable Distributed Generation on Distribution System Voltage Stability Subject The topic of the resource Distributed Generation; Load Models; Loss Sensitivity factor; PSO; Voltage Stability Index Description An account of the resource With advances in renewable energy (RE)technologies and the promotion of restructuring, distributed energy (DG)sources play a vital role in today's power sector. From the technical and economic point of view, DG sources provide a no of benefits such as lesser system losses, better system voltage profile and lower line congestion. The aim of this work is to determine the voltage stability of a distribution system at different levels of DG compensation determined as a percentage of the total load on the system. The objective function is formulated to minimize the real power loss. At first, the locations are chosen based on strategy using Loss Sensitivity Factors (LSF)and the optimal sizing of multiple units of DG sources is optimized using Particle Swarm Optimization (PSO)algorithm. The simulations are performed on standard IEEE 33-bus and 69-bus test systems and the results validate the importance of placing appropriately sized DG sources at suitable locations to achieve improved voltage stability and reduced distribution losses. 2019 IEEE. Creator An entity primarily responsible for making the resource John N.; Janamala V.; Rodrigues J. Source A related resource from which the described resource is derived 2019 International Conference on Data Science and Communication, IconDSC 2019 Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2019-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/IconDSC.2019.8817028" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/IconDSC.2019.8817028</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85072769991&doi=10.1109%2FIconDSC.2019.8817028&partnerID=40&md5=d84b772fc908cf2e0908a4b8a360c16e" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85072769991&doi=10.1109%2fIconDSC.2019.8817028&partnerID=40&md5=d84b772fc908cf2e0908a4b8a360c16e</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-153869319-3 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant John N., Dept. of Electrical and Electronics Engineering, CHRIST, Deemed to be University, Bangalore, India; Janamala V., Dept. of Electrical and Electronics Engineering, CHRIST, Deemed to be University, Bangalore, India; Rodrigues J., Dept. of Electrical and Electronics Engineering, CHRIST, Deemed to be University, Bangalore, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Modelling of Cointegration with Students T-errors Subject The topic of the resource Cointegration; Conditional MLE; Error Correction Model; Students-t Distribution; Unit Root Test Description An account of the resource Two or more non-stationary time series are said to be co-integrated if a certain linear combination of them be-comes stationary. Identification of co-integrating relationships among the relevant time series helps the researchers to develop efficient forecasting methods. The classical approach of analyzing such series is to express the co-integrating time series in the form of error correction models with Gaussian errors. However, the modeling and analysis of cointegration in the presence of non-normal errors needs to be developed as most of the real time series in the field of finance and economics deviates from the assumption of normality. This paper focuses on modeling of a bivariate cointegration with a students-t distributed error. The co-integrating vector obtained from the error correction equation is estimated using the method of maximum likelihood. A unit root test of first order non stationary process with students t-errors is also defined. The resulting estimators are used to construct test procedures for testing the unit root and cointegration associated with two time series. The likelihood equations are all solved using numerical approaches because the estimating equations do not have an explicit solution. A simulation study is carried out to illustrate the finite sample properties of the model. The simulation experiments show that the estimates perform reasonably well. The applicability of the model is illustrated by analyzing the data on time series of Bombay stock exchange indices and crude oil prices and found that the proposed model is a good fit for the data sets. 2022 by authors, all rights reserved. Creator An entity primarily responsible for making the resource John N.; Narayana B. Source A related resource from which the described resource is derived Mathematics and Statistics, Vol-10, No. 1, pp. 233-245. Publisher An entity responsible for making the resource available Horizon Research Publishing Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.13189/ms.2022.100122" target="_blank" rel="noreferrer noopener">https://doi.org/10.13189/ms.2022.100122</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85123609211&doi=10.13189%2Fms.2022.100122&partnerID=40&md5=a487b287ec708ac86167e42a682dcbfa" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85123609211&doi=10.13189%2fms.2022.100122&partnerID=40&md5=a487b287ec708ac86167e42a682dcbfa</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 23322071 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant John N., Department of Statistics, Christ Deemed to be University, India; Narayana B., Department of Statistics, Cochin University of Science and Technology, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource An in-Depth Analysis on the Cumulative Effect of Co and Sintering Temperatures on the Formaldehyde Sensing Attributes of NiO Subject The topic of the resource Doping; Gas sensor; Nanostructures; NiO; XPS Description An account of the resource In-depth studies are availing to explore and utilize the sensing attributes of p-type NiO nanostructures. However, the surface functionalization of NiO using Co for gas sensing along with varying temperature profile is a novel attempt till date. The research succeeded in synthesizing pure and substituted NiO via co-precipitation route and assessed the sensing capability of the samples by testing with 10 different target gases. The Co doped NiO sintered at 500C exhibited promising sensing performance within a concentration range of 1100ppm, notably achieving a high response of 7817 for 100ppm HCHO at room temperature. The proposed sensor demonstrated rapid response and recovery times (9s and 8s), and it successfully passed stability tests conducted over a 30-day period and repeatability tests consisting of eight cycles. The work paved a way to the implication of the prepared sensor as a breath analyzer to detect lung cancer due to its appreciable formaldehyde sensing characteristics. Graphical Abstract: (Figure presented.) The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024. Creator An entity primarily responsible for making the resource John R.A.B.; Vijayan K.; Joshi H. Source A related resource from which the described resource is derived Sensing and Imaging, Vol-25, No. 1 Publisher An entity responsible for making the resource available Springer Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/s11220-024-00483-4" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s11220-024-00483-4</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85195449739&doi=10.1007%2Fs11220-024-00483-4&partnerID=40&md5=9109971f5822b551faef1a65a23a2e1d" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85195449739&doi=10.1007%2fs11220-024-00483-4&partnerID=40&md5=9109971f5822b551faef1a65a23a2e1d</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 15572064 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant John R.A.B., Department of Physics and Electronics, Christ (Deemed to be) University, Karnataka, Bengaluru, India; Vijayan K., School of Advanced Sciences, Vellore Institute of Technology, Tamil Nadu, Vellore, 632 014, India, Centre for Condensed Matter Physics, National Taiwan University, Taipei, Taiwan; Joshi H., School of Advanced Sciences, Vellore Institute of Technology, Tamil Nadu, Vellore, 632 014, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource An Enhanced Approximation Algorithm Using Red Black Tree and HashMap for Virtual Machine Placement Problem Subject The topic of the resource Approximation algorithm; Cloud computing; HashMap; Red Black Tree; Virtual machine; Virtual machine placement Description An account of the resource The virtual machine placement problem (VMPP) is an np-hard optimization problem in cloud computing that involves efficiently allocating virtual machines (VMs) to physical hosts in such a way that the resource wastage is minimized, and resource usage is optimal while ensuring adequate performance. This paper proposes a modified best-fit approximation algorithm using Red Black Tree (RBT) and HashMap for addressing the VMPP with enhanced computational efficiency in such a way that the active hosts in a given data center remains minimum possible. The proposed algorithm builds up on the existing best-fit approximation algorithm by using RBT and HashMap. The proposed approach considers various attributes such as CPU utilization, memory requirements, and network bandwidth while allocating virtual machines. To evaluate the performance the simulation is done in cloudsim environment with PlanetLab workload. Test cases are considered in both homogeneous and heterogeneous environments and results are taken. Comparative analyses were performed against existing benchmark algorithms in terms of time complexity and resource usage in terms of active hosts. The results demonstrate that the proposed algorithm outperforms the existing algorithms and guarantees time complexity of O(log n) and give better results compared to other algorithms. 2024, The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd. Creator An entity primarily responsible for making the resource John R.R.; Kanaga E.G.M.; Lovesum J.; Sandeep S.G. Source A related resource from which the described resource is derived SN Computer Science, Vol-5, No. 1 Publisher An entity responsible for making the resource available Springer Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/s42979-023-02465-x" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s42979-023-02465-x</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85181458050&doi=10.1007%2Fs42979-023-02465-x&partnerID=40&md5=8c6d509ecfebac92eac0e92f42798d16" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85181458050&doi=10.1007%2fs42979-023-02465-x&partnerID=40&md5=8c6d509ecfebac92eac0e92f42798d16</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 2662995X Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant John R.R., Karunya Institute of Technology and Sciences, Tamil Nadu, Coimbatore, India; Kanaga E.G.M., Karunya Institute of Technology and Sciences, Tamil Nadu, Coimbatore, India; Lovesum J., Christ (Deemed to be University), Karnataka, Bangalore, India; Sandeep S.G., Karunya Institute of Technology and Sciences, Tamil Nadu, Coimbatore, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource 3D Face Reconstruction with Feature Enhancement using Bi-FPN for Forensic Analysis Subject The topic of the resource 3D Face Reconstruction; Bi-FPN; Flame Model; Resnet Description An account of the resource The representation of facial features in three-dimensional space plays a pivotal role in various applications such as facial recognition, virtual reality, and digital entertainment. However, achieving high-fidelity reconstructions from two-dimensional facial images remains a challenging task, particularly in preserving fine texture details. This research addresses this problem by proposing a novel approach that leverages a combination of advanced techniques, including Resnet, Flame model, Bi-FPN, and a differential render architecture. The primary objective of this study is to enhance texture details in reconstructed 3D facial images. The integration of Bi-FPN (Bi-directional Feature Pyramid Network) enhances feature extraction and fusion across multiple scales, facilitating the preservation of texture details across different regions of the face. The objective is to accurately represent facial features from 2D images in three-dimensional space. By combining these methods, the proposed framework achieves significant improvements in preserving fine texture details and overall facial structure. Experimental results demonstrate the effectiveness of the approach, suggesting its potential for various applications such as virtual try-on and facial animation. 2024 The Authors. Creator An entity primarily responsible for making the resource John S.; Danti A. Source A related resource from which the described resource is derived Journal of Machine and Computing, Vol-4, No. 2, pp. 392-399. Publisher An entity responsible for making the resource available AnaPub Publications Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.53759/7669/jmc202404037" target="_blank" rel="noreferrer noopener">https://doi.org/10.53759/7669/jmc202404037</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85190324219&doi=10.53759%2F7669%2Fjmc202404037&partnerID=40&md5=7f25a2d78032b904008c72074402a324" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85190324219&doi=10.53759%2f7669%2fjmc202404037&partnerID=40&md5=7f25a2d78032b904008c72074402a324</a> Rights Information about rights held in and over the resource All Open Access; Hybrid Gold Open Access Relation A related resource ISSN: 27891801 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant John S., Department of Computer Science and Engineering, Christ University, Bangalore, India; Danti A., Department of Computer Science and Engineering, Christ University, Bangalore, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Lightweight Model for Occlusion Removal from Face Images Subject The topic of the resource Dynamic Quantization; Generative adversarial network (GAN); Occlusion; Pix2pix Description An account of the resource In the realm of deep learning, the prevalence of models with large number of parameters poses a significant challenge for low computation device. Critical influence of model size, primarily governed by weight parameters in shaping the computational demands of the occlusion removal process. Recognizing the computational burdens associated with existing occlusion removal algorithms, characterized by their propensity for substantial computational resources and large model sizes, we advocate for a paradigm shift towards solutions conducive to low-computation environments. Existing occlusion riddance techniques typically demand substantial computational resources and storage capacity. To support real-time applications, it's imperative to deploy trained models on resource-constrained devices like handheld devices and internet of things (IoT) devices possess limited memory and computational capabilities. There arises a critical need to compress and accelerate these models for deployment on resource-constrained devices, without compromising significantly on model accuracy. Our study introduces a significant contribution in the form of a compressed model designed specifically for addressing occlusion in face images for low computation devices. We perform dynamic quantization technique by reducing the weights of the Pix2pix generator model. The trained model is then compressed, which significantly reduces its size and execution time. The proposed model, is lightweight, due to storage space requirement reduced drastically with significant improvement in the execution time. The performance of the proposed method has been compared with other state of the art methods in terms of PSNR and SSIM. Hence the proposed lightweight model is more suitable for the real time applications with less computational cost. 2024 by the author(s). Creator An entity primarily responsible for making the resource John S.; Danti A. Source A related resource from which the described resource is derived Annals of Emerging Technologies in Computing, Vol-8, No. 2, pp. 1-14. Publisher An entity responsible for making the resource available International Association for Educators and Researchers (IAER) Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.33166/AETiC.2024.02.001" target="_blank" rel="noreferrer noopener">https://doi.org/10.33166/AETiC.2024.02.001</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85190413826&doi=10.33166%2FAETiC.2024.02.001&partnerID=40&md5=ff179998cf4cf9c790ce04656ddfd0a5" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85190413826&doi=10.33166%2fAETiC.2024.02.001&partnerID=40&md5=ff179998cf4cf9c790ce04656ddfd0a5</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 25160281 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant John S., Department of Computer Science and Engineering, Christ University, India; Danti A., Department of Computer Science and Engineering, Christ University, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource A HYBRID APPROACH FOR LANDMARK DETECTION OF 3D FACES FOR FORENSIC INVESTIGATION Subject The topic of the resource Edge Contouring Detection; Facial Reconstruction; Harris Corner Detection; Hybrid Method; Landmark detection Description An account of the resource Facial landmark detection is a key technology in many forensic applications, such as facial identification and facial reconstruction. However, the accuracy of facial landmark detection is often limited in 3D face images due to the challenges of occlusion, illumination, and pose variations. This paper proposes a hybrid approach for landmark detection of 3D faces for forensic investigation. A hybrid method of edge contour detection and Harris corner detection is proposed for feature extraction in face images for forensic investigation. Edge contour detection is used to detect the boundaries of the face, while Harris corner detection is used to detect the corners. The advantage of using a hybrid method of edge contour detection and Harris corner detection for feature extraction in face images is that it can capture both global and local features of the face. Edge contour detection can capture global features, such as the overall shape and outline of the face, while Harris corner detection can capture local features, such as the corners of the mouth, nose and eyes which are vital for facial reconstruction. Experimental results show that the proposed method outperforms existing landmark detection algorithms in terms of time complexity and minimum loss. 2023 Little Lion Scientific. Creator An entity primarily responsible for making the resource John S.; Danti A. Source A related resource from which the described resource is derived Journal of Theoretical and Applied Information Technology, Vol-101, No. 19, pp. 5904-5915. Publisher An entity responsible for making the resource available Little Lion Scientific Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="" target="_blank" rel="noreferrer noopener"></a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85175472257&partnerID=40&md5=bbec7dc1cbbe3dfe834fad984dbe359a" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85175472257&partnerID=40&md5=bbec7dc1cbbe3dfe834fad984dbe359a</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 19928645 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant John S., CSE Dept, School of Engineering and Technology, CHRIST (Deemed to be) University, Bangalore, India; Danti A., CSE Dept, School of Engineering and Technology, CHRIST (Deemed to be) University, Bangalore, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource An Objective Evaluation of Harris Corner and FAST Feature Extraction Techniques for 3D Reconstruction of Face in Forensic Investigation Subject The topic of the resource 3D reconstruction; Features from accelerated segment test; Harris corner detection Description An account of the resource 3d reconstructed face images are the volumetric data from two dimensions, it can provide geometric information, which is very helpful for different application like facial recognition, forensic analysis, animation. Reconstructed face images can provide better visualization, than a two dimensional image can provide. For a proper 3d reconstruction one of primary step is feature extraction. The objective of this study is to conduct a comprehensive evaluation of two prominent traditional feature extraction techniques, namely Harris Corner and FAST (Features from Accelerated Segment Test), for the purpose of 3D reconstruction of face images in forensic analysis. In this research paper feature extraction was carried out using the Harris corner detection and FAST Feature technique. 3D reconstruction is completed using the retrieved features. In this study a comparative analysis was conducted assessing the aspect ratio, depth resolution. The results of the assessment provide valuable insights into the strengths and limitations of both techniques, aiding researchers and practitioners in selecting the most suitable method for 3D face image reconstruction applications. 2023, Ismail Saritas. All rights reserved. Creator An entity primarily responsible for making the resource John S.; Danti A. Source A related resource from which the described resource is derived International Journal of Intelligent Systems and Applications in Engineering, Vol-11, No. 4, pp. 535-545. Publisher An entity responsible for making the resource available Ismail Saritas Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="" target="_blank" rel="noreferrer noopener"></a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174803209&partnerID=40&md5=d2a15f0da2cdeccb915655ea9eb20e9c" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174803209&partnerID=40&md5=d2a15f0da2cdeccb915655ea9eb20e9c</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 21476799 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant John S., Department of Computer Science and Engineering, Christ University, Bengaluru, India; Danti A., Department of Computer Science and Engineering, Christ University, Bengaluru, India