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Launch power determination algorithm for dynamic traffic provisioning in mixed-line-rate optical wavelength division multiplexed networks
In transparent mixed-line-rate (MLR) optical networks, different line rates, on different wavelengths, can coexist on the same fibre. However, along the path, signal experiences various physical layer impairments (PLIs), and its quality also degrades. A major factor that affects transmission quality is launch power of the optical signal. On one hand, power must be high enough to ensure less noise at receiver; on the other hand, it must be lower than the limit where PLIs start to distort the signal. Further, high launch power is disruptive to both, the actual lightpath and its neighbours. In this study, we investigate the problem of determining appropriate launch power for provisioning dynamic connection requests in transparent MLR networks. We propose a heuristic that determines the appropriate launch power of a lightpath. The PLI-average (PLI-A) approach is based on the optical reach of signals, is practical, and can adapt to the needs of network operators. Results show that performances of the proposed approach are better than the existing schemes. Copyright 2015 Inderscience Enterprises Ltd. -
Launch power determination algorithm for dynamic traffic provisioning in mixed-line-rate optical wavelength division multiplexed networks /
International Journal Of Internet Protocol Technology, Vol.9, Issue 1, pp.23-33, ISSN No: 1743-8209. -
LBP-GLZM Based Hybrid Model for Classification of Breast Cancer
Classifying mammogram images is difficult because of their complex backgrounds and the differences in resolutions across the images. One of the toughest parts is telling the difference between harmless (benign) and harmful (malignant) tissue. This is hard because the differences between them are incredibly subtle. As a consequence, the distinctive features embedded within tissue patches become not just relevant but critical for the accurate and automatic classification of these images. Traditionally, efforts to automate this classification process have encountered limitations when relying on a singular feature or a restricted set of characteristics. The subtle variations in texture within these images often render such approaches insufficient in achieving high-quality categorization results. Recognizing this, the present investigation undertakes a more comprehensive approach by incorporating distinct feature extraction techniques - specifically, the utilization of Local Binary Pattern (LBP) and Gray Level Zone Matrix (GLZM). These techniques are adept at capturing and delineating the nuanced texture features inherent in mammogram images. By extracting and analyzing these textural nuances, the aim is to construct a hybrid model capable of classifying mammograms into three distinct categories: malignant, benign, and without the necessity for further examination or follow-up. This proposed hybrid model holds significant promise in the field of mammography classification by leveraging the strengths and complementary attributes of multiple feature extraction methods. The integration of LBP and GLZM aims not only to enhance the accuracy of classification but also to improve the robustness of the system in identifying subtle yet crucial differences in tissue textures. Ultimately, the goal is to create a hybrid feature extraction framework that augments the diagnostic capabilities of mammography, providing more precise and reliable categorization of breast tissue for effective medical decision-making and patient care. 2024 IEEE. -
LCLC Based AC-DC Single-Stage Resonant Converter with Natural Power Factor Correction
LLC-based AC-DC resonant converters make excellent EV chargers because of their high efficiency, high power density, and soft switching properties. Efficiency is increased and the need for a larger series inductor is lowered by connecting a capacitor across the magnetising inductance of the LLC resonant architecture (LCLC configuration). Switching frequency control is commonly used to regulate the converter's output DC voltage. However, there is a significant relationship between the converter's power factor and switching frequency. As a result, any changes in load may result in a lower power factor for the converter. This paper suggests a single-stage topology based on the LCLC resonant structure. The LCLC resonant configuration ensures zero voltage switching (ZVS) of the IGBTs used in the converter. Converters have a power factor correction (PFC) stage on the front of the converter to achieve natural power factor correction. Since the PFC stage and the resonant stage are controlled by the same switches, the converter is smaller and less expensive. A bridgeless rectification method is applied in the proposed topology to reduce the number of switching devices. MATLAB/Simulink simulations are used to validate the topology. 2023 IEEE. -
Leaching of minerals in subbituminous Indian coal and characterisation of the products by SEM
Coal is chemically and physically a complex and heterogeneous material, consisting of organic and inorganic mineral constituents. Presence of minerals in excess will pollute water, air and soil. Concerted efforts are needed to reduce 'ash forming' inorganic elements and to develop clean methods of using coal. This paper reports the demineralization of sub bituminous coal with EDTA, HCl, HF, chloroform and acid mixture. The residual coal from each treatment was analyzed using Scanning Electron Microscopy (SEM) and Ultimate analysis. All the micrographs were bright field and revealed several features corresponding to the mineral grains. It comprised of lithophiles like aluminium, silicates and calcium. The absences of some morphological features correspond to inorganic elements in residual coal samples confirming 'demineralization'. This result was further confirmed with the CHNS analysis. It was evident from the results that amongst the leachants used, Hydrofluoric acid and acid mixture had significant effect in removing the mineral matter, sulphur and oxygenated functional groups. Global Science Publications. -
Lead-free inorganic metal perovskites beyond photovoltaics: Photon, charged particles and neutron shielding applications
Over the last few years, lead-free inorganic metal perovskites have gained impressive ground in empowering satellites in space exploration owing to their material stability and performance evolution under extreme space environments. The present work has examined the versatility of eight such perovskites as space radiation shielding materials by computing their photon, charged particles and neutron interaction parameters. Photon interaction parameters were calculated for a wide energy range using PAGEX software. The ranges of heavy charged particles (H, He, C, N, O, Ne, Mg, Si and Fe ions) in these perovskites were estimated using SRIM software in the energy range 1 keV10 GeV, and that of electrons was computed using ESTAR NIST software in the energy range 0.01 MeV1 GeV. Further, the macroscopic fast neutron removal cross-sections were also calculated to estimate the neutron shielding efficiencies. The examined shielding parameters of the perovskites varied depending on the radiation type and energy. Among the selected perovskites, Cs2TiI6 and Ba2AgIO6 displayed superior photon attenuation properties. A 3.5 cm thick Ba2AgIO6-based shield could reduce the incident radiation intensity to half its initial value, a thickness even lesser than that of Pb-glass. Besides, CsSnBr3 and La0.8Ca0.2Ni0.5Ti0.5O3 displayed the highest and lowest range values, respectively, for all heavy charged particles. Ba2AgIO6 showed electron stopping power (on par with Kovar) better than that of other examined materials. Interestingly, La0.8Ca0.2Ni0.5Ti0.5O3 demonstrated neutron removal cross-section values greater than that of standard neutron shielding materials - aluminium and polyethylene. On the whole, the present study not only demonstrates the employment prospects of eco-friendly perovskites for shielding space radiations but also suggests future prospects for research in this direction. 2022 Korean Nuclear Society -
Leadership management strategies and organisational practices with respect to the hotel sector of rainbow tourism group limited
This was a research exercise which sought to explore leadership management strategies and organisational practices taking place in the hotel sector of Rainbow Tourism Group Limited (RTGL). RTGL is one of Zimbabwe s biggest hotel and tourism sector. The hotel portfolio are comprised of Rainbow Towers and Conference Centre, Bulawayo Rainbow, Victoria Falls Rainbow, Kadoma Rainbow and Conference Centre, A Zambezi River Lodge and Ambassador Hotel. The six hotels have a combined total of 886 rooms, with the largest number of 304 rooms being in the five star hotel, Rainbow Towers and Conference Centre and while the rest in the three star group hotels. Other operations outside Zimbabwe are Hotel Edinburg, the Savoy Hotel and a hotel in Mozambique. The problem statement of the research study was to examine the role of organisational culture in shaping the leadership strategies in hotel and catering sector, organizational leadership and their effectiveness in helping to achieve organizational objectives. The following was newlinethe set of objectives that the research sought to achieve. Firstly, the research sought to determine and analyze the different types of leadership strategies adapted by the hotel sector of Rainbow Tourism Group Limited in the hotel sector a Case Study. The second newlineobjective was to determine the environment forces affecting the acceptance and newlineassimilation of the mentioned strategies. Thirdly the research sought to ascertain the newlineefficacy of mentioned strategies in attaining these organisational strategies in the hotel newlinesector of RTGL. The fourth objective was to suggest if any alternate strategies will be newlinerequired to enhance leadership effectiveness in Hotel Sector of the RTGL. Finally the newlineresearch sought to develop a Leadership Model that can be used in the hotel industry. -
Leadership quality analyzing device in employees /
Patent Number: 356428-001, Applicant: Dr.Nishi Tyagi. -
Leadership Style and Work Engagement: A Comparison of Private and Public Sector Firms in India
Post-privatization, public sector organizations were encouraged to borrow and learn from private sector firms. The popular belief was that the human resource practices followed by private sector organizations were far superior and more effective than those of the public sector organizations. However, this claim lacks empirical proof. This study adds to this body of knowledge by comparing the level of work engagement in private and public sector firms of India. Given that the leadership is crucial in setting the tone of an organization, the study also analyses the dominant leadership styles and their relationship to the levels of work engagement. The study is descriptive in nature and utilizes a structured questionnaire to collect data. Individuals currently employed in Indian public and private sector firms, in managerial roles, were invited to record their responses. The final sample consisted of 240 employees, with equal representation from both sectors. The collected data was then analysed using SPSS. The findings suggested that the dominant leadership styles were not significantly different in public and private sector organizations. Private sector employees were found to be more engaged and the leadership style appeared to be significantly related to the levels of engagement in public sector firms only. 2021 MDI. -
Leading and learning in inhospitable terrain
This chapter explores the obstacles that minority women in K-12 education leadership must overcome, emphasizing the critical importance of acknowledging barriers and prejudices. Notwithstanding its underrepresentation, their leadership demonstrates a steadfast dedication to diversity and offers distinctive viewpoints. Mentorship programs, educational institutions, and policymakers all play a crucial role in promoting diversity via inclusive practices and supportive policies. The recommendations include fostering an environment of inclusiveness, providing training on diversity, implementing precise career trajectories, and acknowledging and commemorating the accomplishments of a wide range of individuals. Collaborative endeavours and inclusive approaches aim to establish educational leadership that is fair, diverse, and student-focused. Addressing inequalities is critical to establishing inclusive and resilient educational environments where mental health should be regarded as a fundamental right, highlighting the convergence of mental health and human rights. 2024, IGI Global. All rights reserved. -
Leaf Disease Detection in Crops based on Single-Hidden Layer Feed-Forward Neural Network and Hierarchal Temporary Memory
Insects, mites, and fungi are common causes in plant disease, which can significantly reduce yields if not addressed promptly. Farmers are losing money as a result of crop illnesses. As the average under cultivation increases, it becomes more of a burden for farmers to keep an eye on everything. In this study, the median filter is used as a preprocessing step to transform the input image into a grayscale representation which used YCbCr color space. Otsu's segmentation is used to divide photographs that contain bright items on a dark background. Feature extraction using Grey Level Co-occurrence Matrix (GLCM). The proposed technique, known as ELM-HTM combines a simple yet adaptable extreme learning machine (ELM) with a Hierarchical Temporal Memory (HTM). This approach outperforms the ELM and HTM model with an accuracy of about 98.8%. 2023 IEEE. -
Leaf Disease Identification in Rice Plants Using CNN Model
Rice is a staple food crop for more than 10 countries. High consumption of rice demands better yield of crop. Fungal, bacterial and viral are different classes of diseases damaging rice crops which results in low and bad yield as per quality and quantity of the crop. Some of the most common diseases affecting plants are fungal blast, fungal brown spot, fungal sheath blight, bacterial blight and viral tungro. The deep learning CNN model with ResNet50V2 architecture was used in this paper to identify disease on the paddy leaves. Mobile application proposed in this paper will help farmers to detect disease on the leaves during their regular visit. Images were captured using this application. The captured images were tested using the trained deep learning model embedded with mobile application. This model predicts and displays input images along with the probabilities compared to each disease. The mobile application also provides necessary remedies for the identified disease with the help of hyperlink available in mobile application. The achieved probability that the model can truly classify the input image in this project was 97.67%, and the obtained validation accuracy was 98.86%. A solution with which farmers can identify diseases in rice leaves and take necessary actions for better crop yield has been demonstrated in this paper. 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. -
Lean Six Sigma competitiveness for micro, small and medium enterprises (MSME): an action research in the Indian context
Purpose: The aim of the article is to ascertain the challenges, lessons learned and managerial implications in the deployment of Lean Six Sigma (LSS) competitiveness to micro, small and medium Enterprises (MSME) in India and to establish doctrines to strengthen the initiatives of the government. Design/methodology/approach: The research adopts the Action Research methodology to develop a case study, which is carried out in the printing industry in a Tier III city using the LSS DMAIC (Define-Measure-Analyze-Improve-Control) approach. It utilizes LSS tools to deploy the strategy and to unearth the challenges and success factors in improving the printing process of a specific batch of a product. Findings: The root cause for the critical to quality (CTQ) characteristic, turn-around-time (TAT) is determined and the solutions are deployed through the scientifically proven data-based approach. As a result of this study, the TAT reduced from an average of 1541.21303.36min, which in turn, improved the sigma level from 0.55 to 2.96, a noteworthy triumph for this MSME. The company realizes an annual savings of USD 12,000 per year due to the success of this project. Top Management Leadership, Data-Based Validation, Technical Know-how and Industrial Engineering Knowledge Base are identified as critical success factors (CSFs), while profitability and on-time delivery are the key performance indicators (KPIs) for the MSME. Eventually, the lessons learned and implications indicate that LSS competitiveness can be treated as quality management standards (QMS) and quality tools and techniques (QTT) to ensure competitive advantage, sustainable green practices and growth. Research limitations/implications: Even though the findings and recommendations of this research are based on a single case study, it is worth noting that the case study is executed in a Tier III city along with novice users of LSS tools and techniques. This indicates the applicability of LSS in MSME and thus, the modality adopted can be further refined to suit the socio-cultural aspects of India. Originality/value: This article illustrates the deployment of LSS from the perspective of novice users, to assist MSME and policymakers to reinforce competitiveness through LSS. Moreover, the government can initiate a scheme in line with LSS competitiveness to complement the existing schemes based on the findings of the case study. 2020, Emerald Publishing Limited. -
Learn, unlearn, and relearn: A step towards bringing resilience in business organizations in the post-COVID-19 regime
The world on a whole has undergone a paradigm shift in its journey with the onset of the COVID-19 threat. Business houses of any stature tremendously suffered towards their consistent and competitive survival. Means and measures are few to implement and very challenging in reaping the benefits. Sheer fall in GDP, dropping in the rate of industrialization and productivity are no unknown facts in the present-day scenario. Indians are unfortunate to embrace the pandemic at the juncture of planning and forecasting of India becoming a five trillion dollar economy by 2025. 2022, IGI Global. All rights reserved. -
Learning analytics for academic management system enhancement: A participatory action research in an Indian context
A common thread noted in many academic management system implementations was the stagnation and deterioration of their usage after the initial hype. This action research study was aimed at addressing this decline in a higher education institute after undertaking a reflective analysis of the waning usage patterns and taking appropriate initiatives to enhance their usage. The authors have attempted this as participants driving the change. As change agents, the academic management system implementation was advanced to move closer to a stage where the committed use occurred and intended benefits were realised. Several initiatives were introduced to propel this change. The scope of this article was confined to gauging the impact of the trigger factors; memos, and training on the academic management system usage. Their effects were measured by applying learning analytics to various sources of usage and performance data. This further led to analysing the relationship between usage and performance of the stakeholders; students, and faculty. 2021 British Educational Leadership, Management & Administration Society (BELMAS). -
Learning and assessment of English language in expeditionary learning (EL) among undergraduate university students
This paper aims to enhance readers understanding of the Learning and Assessment of English language through Expeditionary Learning (EL) Model. The study presents the findings and implications of an experiment conducted among undergraduate university students. The design principles of EL Model are enumerated along with the kinds of expeditions being explained. Learning and Assessment in EL is elaborated by detailing the Facilitators role and the classroom environment required for implementation of this model. The advantages of using the EL model for Learning and Assessment is analyzed by the investigator and presented with findings from the experiment. The study also makes observations that the EL model is a learner-centric model and the psychological principles of learning is incorporated in the design principles of the model. 2020, IJSTR. -
Learning foreign languages: A comparative analysis of online learning process vs. traditional educational processes /
Internet has pervaded every aspect of the life of the modern person today in the contemporary world. The fact that the education sector is undergoing vast amount of change in terms of the digital revolution via the internet medium is exemplary of the powerful aspect of the internet medium. This is also the case with the practice of foreign languages by many people, especially the urban educated youth. -
Learning through Play: Gamification of Learning A Systematic Review of Studies on Gamified Learning
According to Gartner's Hype Cycle, gamification is poised for large-scale adoption in the coming years. The construct of gamification has received considerable interest, especially in the context of learning. Over the past five years, research in the area has grown. The current study looks at consolidating the conducted research and attempts to provide a snapshot of the work carried out in the last five years. The chosen studies have explored the role of gamification in learning activities and have attempted to provide empirical evidence to support gamified learning. The purpose of the study is to review existing literature, in terms of the outcomes, outcome variables, context of the study, and research methodology used. This would not only add to the knowledge in the field but would also guide future research. Additionally, practitioners would benefit from a consolidated view of five years of research into the practice of gamification. 2022 University of Tehran, Faculty of Management, Sridevi Nair and Jain Mathew -
Legal Aid Education in Karnataka: A Critical Analysis
Legal Education has witnessed major transformations since the last few decades. The Constitutional ideals of justice, have been the foundational philosophy of legal newlineeducation in India. Consequently, legal aid has been a crucial link in the entire gamut newlineof advancing the values of justice. However, these purposes and ideals have undergone newlinemutations over the years. Aligned to these ideals, the Bar Council of India, had newlineintroduced legal aid as an important pedagogic tool that can fulfil twin mandate of providing justice to the common man and at the same time, train the students of law in newlinethe necessary skills and imbibe values in their journey of professional and social newlinecommitments. The history of legal aid is not new, in India and in the global context, yet legal aid as an educational tool is undermined and least prioritized in institutions that impart legal education. This could be attributed to various reasons, priorities of the institutions, ambiguity in understanding and working towards these goals. With the emergence of National Law Universities and various types of institutions on one hand and the newlineproportional rise in the number of students pursuing legal education on the other hand, newlinecreates a vast arena for the institutions to augment the existing resources in contributing to the societal needs. There have been various studies that have been conducted which focus on certain newlineaspects of law school clinics, specifically in creating Access to Justice. But there have newlinebeen limited studies in considering legal aid as an educational tool in terms of Teaching, newlineLearning and Research. There has been lack of evidence based approach that are employed to understand impending issues that hamper the effective working of legal aid within an institutional set-up. Hence the current study focuses on how the internal and external pressures act on legal aid within four different types of institutions across the state of Karnataka.