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Concurrent design, modeling and analysis of Microelectromechanical Systems products - Design for 'X' abilities
In this paper, we present the need for concurrent engineering in Microelectromechanical System (MEMS) device and product development. MEMS system is considered as six subsystems: micromachined element design subsystem, microelectronics circuit design subsystem, fabrication subsystem, packaging subsystem, materials subsystem and environment subsystem. Design for 'X' abilities is addressed by considering six subsystems/abilities. A concurrent model is developed using graph theory to show the interaction between subsystems. This work utilizes the advantages of the graph theoretic approach to consider all design aspects together in a single methodology with the help of a multinomial defined using matrix algebra. The design index developed using the proposed methodology shows the interaction among the subsystems and indicates whether the overall design is acceptable or not, by considering all the aspects related to micromachined element design, microelectronics circuit design, fabrication, packaging, materials, environment etc. A MEMS based RF power sensor is designed and the proposed methodology is explained. Simulated results of the RF MEMS power sensor are presented to validate the proposed methodology. A power sensor with VSWR of 1.08002 is reported. 2012 Bentham Science Publishers. -
Domain-Driven Summarization: Models for Diverse Content Realms
In todays information-rich landscape, automatic text summarization systems are pivotal in condensing extensive textual content into concise and informative summaries. The current study ventures into domain-agnostic summarization, delving into advanced models spanning various domains, such as business, entertainment, sports, politics, and technology. The study aims to uncover domain-specific enhancements, assess resource efficiency, and explore the boundaries of applicability. This study covers nine cutting-edge models, including Google Pegasus-Large, Facebook BART-Base, SSHLEIFER DistilBART-CNN-6-6, Facebook BART-Large, T5-Large, T5-Base, Facebook BART-Large-CNN, Facebook BART-Large-Xsum, and SSHLEIFER DistilBART-Xsum-12-1. Each model undergoes rigorous evaluation, revealing its efficacy within various domains. Google Pegasus-Large emerges as a standout choice for cross-domain summarization, while Facebook BART-Base demonstrates remarkable stability. Models like SSHLEIFER DistilBART-CNN-6-6, T5 variants, and others contribute to the evolving landscape of summarization. This study endeavors to establish a robust foundation for enhancing the efficiency and effectiveness of summarization techniques within various domains, thereby contributing valuable insights to the broader literature on text summarization. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024. -
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Modified Rice Husk Silica from Biowaste: An Efficient Catalyst for Transesterification of Diethyl Malonate and Benzyl Alcohol
Abstract: Molybdenum and lanthanum oxide modified silica-based catalysts were prepared from the agricultural waste rice husk. These synthesized catalysts were characterized by various spectroscopic and non-spectroscopic techniques. The catalytic performance was investigated by transesterification reaction between diethyl malonate and benzyl alcohol in the liquid phase using modified silica as a heterogeneous catalyst. Molybdenum modified silica-based catalyst showed the highest conversion efficiency of 95.6% and selectivity of 96.8% for dibenzyl malonate. The reaction conditions were optimized to give maximum efficiency with the highest selectivity in a solvent-free green method. Graphic Abstract: [Figure not available: see fulltext.]. 2019, Springer Nature B.V. -
Role of mesoporous silica supported mixed oxides of ceria and samaria for the synthesis of ?-caprolactone at room temperature
Mesoporous silica was prepared from rice husk by pyrolysis method. Mixed oxides of ceria and samaria (50/50) were disp?ersed on silica by rotavapor assisted wet impregnation method. Catalysts were further modified by doping with MoO3, La2O3 and mixed MoO3La2O3. The prepared systems were characterized by various physicochemical techniques such as BET surface area analysis, scanning electron microscopy, elemental detection analysis, transmission electron microscopy, X-ray diffraction, Fourier transform infrared spectroscopy, Thermogravimetric analysis, n-butylamine titration and X-ray photoelectron spectroscopy analysis. The catalytic activity of all the systems were studied in the oxidation of cyclohexanone to ?-caprolactone. Various parameters such as time, molar ratio of cyclohexanoneH2O2, temperature, solvent and the amount of catalyst were studied thoroughly to optimize the favorable conditions for the oxidation reaction. Higher ?-caprolactone selectivity of 88.9% was observed in the presence of hydrogen peroxide in acetonitrile medium. The recyclability tests were performed up to six cycles without any appreciable loss in activity, which confirmed the stability of the prepared systems. Good yield with high selectivity was achieved at room temperature, which makes the protocol greener. 2020, Springer Science+Business Media, LLC, part of Springer Nature. -
Effects of Performance and Target Pressure on the Psychological Well-Being of Corporate Employees
The main objective of this study is to analyze the work stress on the performance of the employees effectively and to analyze the effect of work stress on the well-being of the employees. The influence of psychological well-being and the capability to tackle workload in the company environment. The main objectives are better job performance which helps in achieving higher productivity. Individual objectives and the organizational objectives of the company assists in the overall performance and gross achievement of the organization. The significant well-being of the overall performance of the employee, their influence, and the management of stress of the performance of the employees. This analysis showcases the impact of work stress on the growth of the employees, which effects performance and significant growth to employee development. 2023, Journal for ReAttach Therapy and Developmental Diversities. All Rights Reserved. -
Discovering Consumer Behavior Towards Back-of-Pack Nutrition Labels: A Systematic Literature Review
This systematic literature review aims to examine the impact of back-of-pack (BOP) labels on food manufacturers' practices in the field of consumer behaviour research. The review comprehensively analyses a wide range of articles spanning over two decades to provide an up-to-date and comprehensive analysis of the subject matter. It focuses specifically on how BOP labels affect consumers, food manufacturers' behaviors and practices. The findings highlight that BOP labels conveying intuitive information effectively prompt product reformulation, particularly in reducing unhealthy nutrients such as sodium, sugar, and calories. Voluntary BOP labeling has limited uptake and is often applied to already healthier products. Consumers and food producers' response varies based on label design and enforcement type, suggesting strategic labeling of healthier choices. The review provides valuable insights for future public health research and policymaking efforts, emphasizing the importance of mandatory policies and specific guidance in BOP labels. This research brings novelty by comprehensively examining the impact of back-of-pack (BOP) labeling on consumers and food manufacturers' practices. The findings contribute to the literature by highlighting the differential effects of mandatory and voluntary BOP labeling approaches and offering insights into label design and enforcement types. As per the researcher knowledge there is no available systematic literature review (SLR) specifically focusing on BOP labeling in recent years. Future research should explore the long-term impacts of mandatory versus voluntary BOP labeling on consumer dietary habits and food manufacturers' product reformulation strategies. 2024 The Author(s). -
Machine Learning Enabled Financial Statements in Assessing a Business's Performance
Machine Learning Enabled Financial Statements (MLEFS) revolutionize corporate performance analysis. This study examines MLEFS's dramatic effects using data gathering, model creation, interpretability, deployment, and ethics. We found that MLEFS accurately predicts crucial financial measures, helping investors, lenders, and financial analysts make better judgments. The study emphasizes the importance of financial measures like Return on Assets (ROA) in supporting financial theories and models. The research also stresses interpretability and ethics, promoting responsible machine learning in finance. Future trends include enhanced interpretability, strong ethical frameworks, real-time analysis, big data integration, regulatory adaption, and industrial acceptance. This study opens the door to data-driven financial analysis and decision-making, improving strategic planning, risk reduction, and investor trust. 2024 IEEE. -
EXPLORING THE NEXUS: DESIGN CHARACTERISTICS OF URBAN LOCAL PUBLIC SPACES AND CHILDRENS PLAY BEHAVIOR IN BANGALORE, INDIA
Research in the field of childrens play highlights its diverse benefits on developmental requisites. Specifically, parks and playgrounds emerge as key public spaces in an urban environment, which facilitates a range of play experiences conducive to developmental processes. The main aim of the study is to examine the design characteristics of formal public spaces that influence play behavior of children and the supervision modalities in the Indian context. To achieve this objective the study investigated a park and playground in a rapidly developing neighborhood in Bangalore. Systematic observations were conducted to observe childrens play opportunities with respect to the physical environments including adult supervision modalities. The outcomes reveal that childrens play in the urban context is a supervised activity. The study demonstrates a strong correlation between the age demographics and utilization patterns of play spaces. Though affordances for functional play and rule based games were exhibited in these public spaces, the research found minimal occurrences of Constructive, Imaginative and Exploratory play. Implications for planning and design includes adopting an age-responsive approach to accommodate diverse developmental needs and preferences of children while integrating natural and manipulable materials to enhance play value of play spaces. 2024, Jomard Publishing. All rights reserved. -
Bollywood, biopics and biographies: Understanding the transmutation of narratives /
A biopic or a biographical motion picture, that charts the lifetime of a person featured in that film, is not a trend or fad that came about in recent years. One could start with arguing upon the stance of the biopics of actually being a genre of itself, despite having been the part of earliest days of silent cinema. The paper studies three biopics in Bollywood along with the biographies/autobiographies that have been used as the background source for the film‘s narration. -
Dynamic Offloading Technique for Latency Sensitive Iot Applications Using Fog Computing
The Internet of Things (IoT) has evolved as one of the most popular technological newlineinnovations that offers processing power to different types of entities connected to it. IoT has made traditional applications smarter and easier to use. IoT offers reliable service to different sectors such as healthcare, industrial control, agriculture, autonomous vehicles, traffic management etc. IoT nodes are generally energy-constrained and hence depend on cloud platforms for storage and analytics of generated data. The cloud provides required services for the newlineconnected applications based on pay per use policy. But cloud datacenter being at remote location fails to accommodate the time requirements of delay-sensitive IoT newlineapplications. Edge/fog computing was designed to address the demands of timesensitive IoT applications. The IoT-Fog-Cloud architecture reduces the delay and response time incurred by the IoT-Cloud model. The fog layer in the three-tier architecture is distributed in nature. Hence the latency depends on how well the underlying offloading algorithms distribute the tasks among available fog nodes. Different offloading policies are mentioned in the literature to address this issue. This work initially tries to solve the offloading problem using one of the novel newlineoffloading approaches Flamingo Search Algorithm (FSA). Later, the results obtained from FSA are fine-tuned using another metaheuristic algorithm, the Honey Badger Algorithm (HBA). Finally, both FSA and HBA are hybridized to generate the HB-FS algorithm which effectively solves the task offloading problem. The performance evaluation of the proposed approach is done with different existing metaheuristic algorithms and the evaluations show that the newlineproposed work outperforms the existing algorithms in terms of latency, average newlineresponse time and execution time. The methodology also offers a lesser degree of newlineimbalance and standard deviation than the compared approaches. -
Examining growth inequality nexus in post-reform Odisha: A sectoral decomposition analysis /
Journal of Development Policy And Practice, Vol.4, Issue 1, pp.12-34 -
Do Millennial Exhibit Environmentally Responsive Consumption BehaviorsA Study on Determinants of Green Purchase Decision?
The purchase behavior of green products is largely affected by the intention-action gap and skepticism present among consumers. The purpose of this study was to analyze the various factors that affect the purchase behavior of green products among millennials. The practical benefit of this research is that it will assist in the convergence of green marketing and environmental consumer behavior theories. The theory used in the study is the theory of planned behavior. It helps to understand the specific behaviors of consumers as a possibility of a particular behavioral intention. For this purpose, we identified five constructs, namely, Environmental Concerns and Belief (ECB), Eco-Labelling (EL), Green Packaging and Branding (GPB), Green Product, Premium, and Pricing (GPPP), and Consumers Beliefs Towards the Environment (CBTE). These constructs have helped in identifying and analyzing the various factors that affect the purchase behavior of green products among millennials. We analyzed the purchase behavior of green products using a questionnaire approach. For this descriptive study, there were 251 millennials as our respondents who were chosen using the convenience sampling technique. The data was collected through a structured questionnaire via Google form and was analyzed using regression analysis, correlation. It was found that the key factors of green marketing such as Environmental Concerns and Beliefs (ECB), Green Packaging and Branding (GPB), and Green Product, Premium and Pricing (GPPP) have a positive influence on Consumers Beliefs Towards the Environment (CBTE). It implies that by increasing the spending on green packaging and branding there will be a positive effect on consumers environmental beliefs. On the other hand, Eco-Labelling (EL) has a negative influence on Consumers Beliefs Towards the Environment (CBTE) and this is caused by skepticism present among millennials. 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG. -
Securing medical images using encryption and LSB steganography
Medical imaging plays a vital role in the healthcare industry. Due to the advancements in the healthcare industry medical images are being transferred between geographically spread regions. As the medical images are transmitted through public networks several security challenges may arise such as authentication, integrity, and confidentiality. In this paper, the research focus is on preserving the confidentiality and integrity of the medical images. In general, integrity and confidentiality can be achieved by encryption (a piece of cryptography). To incorporate one more layer of security, steganography is applied to the medical image. In this paper, a one-time pad encryption algorithm is used to encrypt the medical image, then the encrypted image is implanted into a cover image to give a stego image making the system more resilient to the attacker. Further in this paper, the above said method is being implemented using MATLAB and the experimental results are compared with hiding the medical image using LSB steganography without encryption (one layer of security). Various formats of medical images have been taken into consideration such as DICOM, TIFF, BMP, and JPEG. Results show that the combination of encryption and steganography performs better than applying only steganography, concerning MSE and PSNR values. 2021 IEEE -
A multi-Threshold triggering and QoS aware vertical handover management in heterogeneous wireless networks
Vertical handover management provides seamless connectivity in heterogeneous wireless networks. But still there are different challenges that need to be addressed. These challenges include the inappropriate network selection, wrong cell handover, etc. Therefore, in this article, we proposed a handover management scheme based on the data rate and QoS of available networks. The handover triggering is performed on the data rate requires by different applications. Similarly, the network selection is performed by considering the cost, data rate of available networks and energy consumption by the mobile interface. The proposed scheme is simulated in different mobility scenarios with a random number of applications running on various numbers of mobile nodes. The simulation results show that the proposed scheme requires less energy during the scanning and selection of available networks. 2015 IEEE. -
Photocatalytic degradation of methylene blue and metanil yellow dyes using green synthesized zinc oxide (Zno) nanocrystals
In this work, ZnO nanocrystals (NCs) have been effectively synthesized by a simple, efficient and cost-effective method using coconut husk extract as a novel fuel. The synthesized NCs are characterized by UV-Vis, XRD, FT-IR, SEM, EDX, Raman and PL studies. The obtained ZnO were found to be UV-active with a bandgap of 2.93 eV. The X-ray diffraction pattern confirms the crystallinity of the ZnO with hexagonally structured ZnO with a crystallite size of 48 nm, while the SEM analysis reveals the hexagonal bipyramid morphology. Photocatalytic activities of the synthesized ZnO NCs are used to degrade methylene blue and metanil yellow dyes. 2021 by the authors. Licensee MDPI, Basel, Switzerland. -
Energy Efficient Evolutionary Algorithm based Clustering with Route Selection Protocol for IoT Assisted Wireless Sensor Networks
Internet of Things (IoT) assisted wireless sensor network (WSN) finds its applicability in several real-time tracking and surveillance applications. However, it suffers from various issues such as restricted battery capacity, repeated interruptions owing to multi-hop data transmission, and limited communication range. Gathering and multihop directing are considered effective solutions to complete enhanced energy competence and a generation of IoT-assisted WSN. An NP-hard problematic that can be handled with an evolutionary algorithm is the collection of the cluster head (CH) and the best potential paths to the goal. Both of these problems involve finding the optimum route to the target (EA). In this context, this study presents the design of the Energy Efficient Evolutionary Algorithm-based Clustering with Route Selection (EEEA-CRS) Protocol for Internet of Things-Assisted Wireless Sensor Networks (IoT-Assisted WSN). The EEEA-CRS technique that has been proposed has the primary intention of enhancing the energy efficiency as well as the lifetime of the IoT-assisted WSN. The EEEA-CRS approach that has been presented is broken down into its basic parts, which are the Fuzzy Chicken Swarm Optimization based Clustering (FCSO-C) phase and the Biogeography Optimization-based Multihop Routing phase (BBO-MHR). The FCSO-C technique that has been suggested chooses CHs with the use of a fitness function that takes into account residual energy, inter-cluster distance, and intra-cluster detachment. In adding, the BBO-MHR strategy identifies the optimum pathways to BS by taking into account the costs of communicating with other clusters, both within and between them. A number of different simulations were carried out in order to demonstrate that the EEEA-CRS methodology yields superior results. The EEEA-CRS method was shown to be superior to other methods in use today, according to the findings of an exhaustive comparison and study. EverScience Publications. -
An Integration of AI Technique in the Field of Healthcare Industry
Over the last few years, the field of intelligent machines (AI) has experienced fast improvements in software algorithms to hardware deployment, and varied uses, especially in the area of healthcare. This thorough study aims to capture recent developments in AI uses within biomedicine, spanning disease diagnoses, living support, biological computation, and research. The primary goal is to record recent scientific successes, discern what is happening in the technological environment, perceive the enormous future scope of AI on biomedicine along and serve as a source of stimulus for researchers through related fields. It is obvious that, similar to the development of AI itself, the use of it in biology continues to remain in its infant state. This review expects ongoing breakthroughs and improvements that will push the limits and broaden the range of AI uses in the near future. In order to communicate the changing possibility of AI in biology, the study dives into individual case studies. These include anticipating of epileptic seizure events and the uses of AI in treating a faulty urine bladder. By studying these cases, the overview seeks to explain the visible impact of AI off healthcare and reinforce the chance of immediate developments in this evolving and promising field. 2024 IEEE. -
A data/document management system and method /
Patent Number: 202111047326, Applicant: Anil Kumar.
A data/document management system and method comprising a user device (101); internet (102); a server (103); an authentication module (104); a code generation module (105); record management system (106); a processing module (107); a database (108). The method comprises following steps of A) Data /document storing mode and B) data / document fetching mode. The invention provides a high efficient and low, user friendly data / document management system and method. The invention provides a record management system (106) which is connected to the database system (108).