Volume 12 | Issue 10

 Abstract

The implementation of hybrid multi-radio access technologies has great dependency upon the efficiencies of multi-user detection (MUD) available at the receiver unit. In order to get the best performance in hybrid power-domain sparse code multiple accesses (PD-SCMA) system, there is a need for effective and efficient strategies in detecting system due to the MUDs complexity and the processing time. A DL-MUD technique addresses this issue by allowing the system to perform detection of all the symbols without the need to do cumbersome interference cancelation or perform further channel estimation in an overloaded PD-SCMA system. In this work, a MUD-on-DNN-MUD technique is presented for the uplink channel in a PD-SCMA system, with both near users (NUs) and far users (FUs) treated as accommodated NUs through power domain multiplexing and FUs through code domain multiplexing respectively. The proposed system MUD also combines SIC and MPA/EPA in the same MUD architecture wherein SIC enhances MPA and EPA. Such integration solves interference diffusion problems in SIC and the efficiency problems of MPA/EPA. Finally, hollow-batch strategies during the training of the DNN were applied for improving the efficiency of detection by decreasing the shifts to internal cells. Performance evaluations demonstrate that the proposed DNN-MUD significantly surpasses conventional joint SIC-MPA/EPA schemes in terms of average symbol error rate (SER), complexity, and computational time.

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 Keywords

Non-orthogonal Multiple Access(NOMA), Multi-User Detection (MUD), Deep Learning (DL), Power-Domain Sparse Code Multiple Access (PD-SCMA), Successive Interference Cancellation (SIC), Message Passing Algorithm (MPA), Expectation Propagation Algorithm (EPA), Symbol Error Rate (SER), Batch Normalization.

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In the textile industry, the accurate and efficient classification of fabric defects is paramount for maintaining high-quality standards. This research explores a novel approach to textile defect classification through feature optimization using Particle Swarm Optimization (PSO) and Random Forest (RF) classification methods, utilizing the real Self Collected Fabrics dataset from 'RADHA LACES'. The process begins with the extraction of pertinent features from textile images, employing techniques to capture texture and color information. PSO is then utilized to optimize the feature set, enhancing the classifier's performance by selecting the most informative features. Subsequently, a Random Forest classification model is constructed, combining the strengths of multiple base classifiers through techniques like Random Forest and Boosting to achieve robust and accurate predictions. The proposed methodology is rigorously evaluated using the SCF dataset, demonstrating significant improvements in classification accuracy and robustness compared to traditional methods. This study highlights the potential of integrating PSO-driven feature optimization with RF learning for advanced defect detection in textiles, offering a viable solution for industrial quality control processes.

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Keywords: Textile Defect Classification, Feature Optimization, Particle Swarm Optimization, Industrial Quality Control, Random Forest Method.

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The health outcomes of tribal populations in India are profoundly influenced by socio-economic factors, creating disparities in healthcare access and outcomes. The Lambadi people, dispersed across various states, confront unique challenges in maintaining their health. Understanding the impact of socio-economic factors on Lambada health outcomes is crucial for tailored interventions. This study investigates this impact, synthesizing 18 articles from Andhra Pradesh, Telangana, Karnataka, Rajasthan, and Maharashtra. Findings reveal prevalent health issues like malnutrition, anemia, diabetes, and hypertension. Socio-economic realities such as poverty, low income, limited access to education and healthcare, and cultural preservation concerns exacerbate these health issues. Key interventions include healthcare provider capacity building, addressing food insecurity, and empowerment programs. Preserving cultural sensitivity in healthcare delivery is essential. This research offers valuable insights for policymakers and stakeholders, emphasizing the need for targeted interventions to improve the health and well-being of Lambada Tribes in India.

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socio-economic factors, health outcomes, Lambada tribes, multi-state analysis

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The energy sector is one of the important key for economic development; they are a strong relationship between the economical growth and more energy consumption. The various countries have different levels of renewable energy sources exist. The development countries are additional resembling to applied for getting job opportunity. T A systematic review of the literature was conducted from 2009 to 2018. During this process, more than 300 articles were classified and 42 papers were filtered for critical review. The literature analysis showed that despite serious efforts at all levels to reduce reliance on fossil fuels by promoting renewable energy as its alternative, fossil fuels continue to contribute 73.5% to the worldwide electricity production in 2017. Conversely, renewable sources contributed only 26.5%. Furthermore, this study highlights that the lack of public awareness is a major barrier to the acceptance of renewable energy technologies. The results of this study show that worldwide energy crises can be managed by integrating renewable energy sources in the power generation. Moreover, in order to facilitate the development of renewable energy technologies, this systematic review has highlighted the importance of public opinion and performed a real-time analysis of public tweets. This example of tweet analysis is a relatively novel initiative in a review study that will seek to direct the attention of future researchers and policymakers toward public opinion and recommend the implications to both academia and industries. KEYWORDS : Sustainable Energy Renewable Energy Sources Solar Power Wind Power Biomass Energy Hydropower Geothermal EnergyEnergy Technologies Public Perception Energy Policy Environmental Sustainability Energy Transition Technology Adoption Community Attitudes Economic Impact Energy Efficiency Climate Change Mitigation.

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Sustainable Energy Renewable Energy Sources Solar Power Wind Power Biomass Energy Hydropower Geothermal EnergyEnergy Technologies Public Perception Energy Policy Environmental Sustainability Energy Transition Technology Adoption Community Attitudes Economic Impact Energy Efficiency Climate Change Mitigation

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This case study explores ITC's journey, its dedication to sustainability, its HR practices and its unique standing in the Indian business landscape.

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Business Initiatives,HR Practices,Diversification strategy,sustainability

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This paper explores the significant role of the nobility during the Delhi Sultanate in advancing both religious and secular sciences, particularly focusing on astronomy, astrology, and medical sciences. It highlights how scholars from diverse backgrounds were drawn to Delhi, where they engaged in scientific inquiry despite resistance from orthodox ulemas. Notable figures like Amir Khusrau and Sultan Firoz Shah Tughlaq championed these fields, promoting translations and the compilation of astronomical texts. The patronage extended by the nobles facilitated the study of various sciences, as astrologers provided critical guidance for political and personal decisions. Additionally, the paper examines the innovations in arts and crafts by nobles such as Mian Taha Farmuli and Mian Bhua, who contributed significantly to medicine and numismatics. Ultimately, the study emphasizes the crucial interplay between the nobility and intellectual development, showcasing how their support fostered a rich scholarly environment that shaped India's scientific heritage.

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Sultanate nobility, astronomy, astrology, ustralab, Thakkua Pheru, Medicine.

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Smart city initiatives have been strengthen with the appeal of IOT services and big data analytics all over the world. This study aims to provide a comprehensive overview of IoT technologies in smart cities, offering insights into their impact on urban infrastructure, citizen engagement, and overall quality. The Internet of Things (IoT) has emerged as a transformative force in the development of smart cities, integrating advanced technologies enhance urban living. This paper explores the various IoT technologies employed in smart city initiatives, focusing on their applications, benefits, and challenges. Key areas of implementation include smart transportation systems that optimize traffic flow and reduce congestion, intelligent energy management that promotes sustainability, and enhanced public safety through connected surveillance systems. Additionally, the role of data analytics and cloud computing in processing vast amounts of real-time data is examined, highlighting their significance in decision-making and resource allocation. While the potential for improved urban experiences is substantial, challenges such as data privacy, cybersecurity, and interoperability among diverse systems must be addressed. These services have brought an massive change by bettering infrastructure and transportation system, lessening traffic congestion, providing waste management and hence upgrading the quality of human life. This paper provides with collective overview of the IOT paradigm for smart cities, integrated ICT network types, doable opportunities and considerable requirements.

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smart cities; internet of things (IoT); artificial intelligence; sensing technologies; smart city challenges; privacy; security

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: Businesses are being forced to fight for attracting and retaining customers using a variety of forms of advertising due to the intense competition and rapidly changing market conditions in the FMCG sector. The effect of advertising on sales performance is investigated in this study. The study used the Structural Equation Modelling (SEM) method based on the conceptual model, and the sample of 100 people was drawn from walk-in consumers at retail establishments in Bhubaneswar City. Informative, persuasive and reminder advertising are the forms of advertising that are strongly correlated with sales performance using confirmatory factor analysis and path analysis.

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Sales Performance, SEM, Advertising, Consumer

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Innovation, new jobs, and general economic growth are all boosted by entrepreneurial spirit, which has long been recognised as a powerful engine of economic progress. To fully understand the complex relationship between entrepreneurship and economic development, this study employs a mixed-methods methodology. Economic metrics including GDP growth, job creation, and innovation are positively correlated with entrepreneurial activity, according to the quantitative analysis. This correlation emphasises entrepreneurship's crucial contribution to economic prosperity. The examination of qualitative data reveals the problems that entrepreneurs confront, such as access to money, a lack of business skills, regulatory hurdles, and limited market access. These obstacles to entrepreneurial growth necessitate broad policy measures. The report makes a number of recommendations for governments, legislators, and entrepreneurs in order to effectively support entrepreneurship and exploit its potential for economic development. Governments should prioritise expanding access to capital, offering tax advantages for entrepreneurs, reducing laws, investing in company incubators and accelerators, and encouraging entrepreneurship education and training as top priorities. Policymakers are encouraged to create a national entrepreneurship plan, nurture a supportive entrepreneurial ecosystem, promote academic-industry collaboration, and boost international cooperation. Entrepreneurs should network with their peers, seek mentorship from experienced entrepreneurs, take advantage of government programmes and resources, create a solid business plan, and accept continual learning and adaptation.

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Entrepreneurship, Economic Development, GDP, Job Creation, Innovation

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This paper explores the adoption of QR code payment systems in retail environments, analyzing both the benefits and challenges from the retailer's perspective. QR codes offer a cost-effective, user-friendly method for processing transactions, enhancing customer experience through speed and convenience. Key benefits include reduced transaction costs, increased security through encrypted data transmission, and the ability to streamline checkout processes. Additionally, QR codes can facilitate contactless payments, aligning with consumer preferences for hygiene and safety. However, retailers also face challenges, including technological integration with existing systems, potential security vulnerabilities, and the need for customer education to ensure widespread adoption. This study aims to provide insights into how retailers can effectively implement QR code payment solutions while navigating these challenges, ultimately enhancing their operational efficiency and customer satisfaction.

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 Keywords

QR code payments, retail, contactless payments, security, technology integration, consumer education, payment systems, operational efficiency.

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Hyperparameter optimization plays a significant role in enhancing the performance of machine learning models. In this paper, we present applications of Random search and Bayesian optimization for hyperparameter tuning for four machine learning models like Support Vector Machines (SVM), Decision Trees, K-nearest neighbors (KNN) and Random Forest. We provide a comparative analysis of these methods and investigate their impact on model accuracy, training efficiency, resource consumption, and computational efficiency. Results demonstrate the variation in accuracy of these optimization strategies such as Bayesian Optimization, significantly reduces the search time and improves accuracy. By marking these optimizations, we aim to highlight best practices for achieving high-performance models across the MNIST dataset for handwritten digit recognizer.

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hyperparameter optimization, digit recognition, Bayesian optimization, RandomsearchCV optimization.

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Abstract: The person who is engaged in translating from one language into another ought to be constantly aware of the contrast in the entire range of culture represented by the two languages. Tho.Paramasivan's 'Ariyappadatha Thamizhagam' is a collection of essays which give detailed information about the unknown aspects of our Tamil culture. Tho. Paramasivan has included a lot of literary sources and information about folk cultures in his essays to express his thoughts. So, it is not easy to translate his essays like others. This book has a lot of information about our food, dress shelter, festivals rituals and beliefs and it was written to the people who were well known about the culture. So, while translating this text to the people who live in entirely different cultures, we need to give additional information to explain the content. This paper will aim to analyze the problems while translating folk culture which was used by Tho. Paramasivan in his essay using a descriptive method.

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Folklore, Material culture, proverbs, cultural untranslatability.

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In the rapidly evolving landscape of global communication, the integration of Cognitive Translation and Interpreting Studies (CTIS) has become paramount. This research paper explores the implications of Cognitive Translation and Interpreting Studies (CTIS) in the context of emerging communication channels, such as artificial intelligence, virtual reality, and advanced language technologies. The convergence of cognitive science and translation studies has paved the way for a deeper understanding of the cognitive processes involved in language transfer, enabling the development of innovative solutions for the challenges presented by new communication paradigms. The study investigates how Cognitive Translation and Interpreting Studies (CTIS) contributes to the enhancement of machine translation systems, language processing algorithms, and real-time interpreting technologies. By examining the cognitive aspects of translation and interpreting, researchers can design more effective tools that cater to the unique demands of diverse communication channels. Additionally, the research paper delves into the impact of Cognitive Translation and Interpreting Studies (CTIS) on the professional practices of human translators and interpreters, exploring how these specialists adapt to collaborate seamlessly with cognitive technologies. Furthermore, this research paper discusses the ethical considerations associated with the implementation of Cognitive Translation and Interpreting Studies (CTIS), especially in new communication channels. As cognitive technologies play an increasingly prominent role in language services, it is essential to address concerns related to privacy, cultural sensitivity, and the potential biases embedded in automated translation systems. By critically evaluating these ethical dimensions, this research paper also aims to guide the responsible development and deployment of cognitive technologies in the translation and interpreting domain. Briefly speaking, the implications of Cognitive Translation and Interpreting Studies (CTIS) in new communication channels are multifaceted, encompassing technological advancements, professional practices, and ethical considerations. Moreover, this research paper provides a foundation for further research and discussion on how the integration of cognitive insights into translation and interpreting studies can shape the future of global communication.

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new communication channels, cognitive, technologies, machine, translation, interpreting,

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The rise of social media has given birth to influencer marketing, significantly altering the landscape of brand promotion and consumer engagement. This study investigates the impact of influencer marketing on consumer awareness and perception of branded products, focusing on the effectiveness of influencers in shaping brand image, trust, and purchasing decisions. Through an analysis of literature and survey-based empirical data, this research examines how influencer-led campaigns influence consumer attitudes, preferences, and brand loyalty. ________________________________________

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A STUDY ON IMPACT OF INFLUENCER MARKETING ON AWARENESS AND PERCEPTION TOWARDS BRANDED PRODUCTS

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The study delves into the impact of AI on customer satisfaction in the e-commerce industry. This approach will examine how the improvement of user experience and acceleration are enhanced by AI technologies. Business-to-consumer interaction is a revolution through computer-based intelligence technologies such as chatbots, personalized recommendations, and automated customer assistance. It discusses how AI-powered marketing with the usage of predictive analytics and smooth transaction processing impacts consumer engagement, loyalty, and satisfaction. The Internet has made shopping easier for consumers and marketers alike through artificial intelligence that can automate the buying process and offer personalized recommendations to customers. Artificial intelligence has been a boon to the retail sector. This article will represent a summary of many benefits that the customers experienced during purchasing online from business firms which have adopted computer-based intelligence. We have used a random sample of 200 online consumers to discover how AI impacts the transformation of online businesses and the degree of happiness that their customers report. Data were analyzed using Exploratory Factor Analysis and Multiple Regression. The satisfaction of online shoppers increases when they have an option to communicate with the help of chatbots, customized shopping experiences, quick interactions, and product suggestions through artificial intelligence.

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Investigating, Influence, Artificial Intelligence, Customer Satisfaction, E-Commerce Sector, Exploratory Factor Analysis (EFA), Online Retailers

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Background: Type 2 diabetes mellitus (T2DM) is a prevalent metabolic disorder that negatively impacts physical health and quality of life. Individuals with T2DM often experience decreased aerobic capacity, which is linked to increased morbidity and mortality. Traditional exercise interventions focus primarily on aerobic activity, but the role of flexibility exercises remains underexplored. This study aims to investigate the combined effects of aerobic and flexibility exercises on improving both aerobic capacity and quality of life in T2DM patients, addressing a critical gap in current research. Materials and methodology: This experimental study was conducted with 68 patients in the age group of 40-60years with known case of T2DM since 1year, receiving treatment at a tertiary care center in Latur. Aerobic capacity was assessed by Karvonen's formula and quality of life was assessed by SF-36. The exercise protocol was carried out for 8 weeks, 3 days per week, in experimental group each exercise session consisted of 5-10 mins of warm-up exercise 10-50 mins of aerobic conditioning, 5-10 mins of cool down and flexibility exercises were given. RESULT: Group A showed a highly significant improvement in both Vo2MAX and SF-36 scores post-intervention. The intervention appeared to greatly enhance both cardiovascular fitness and quality of life. Group B showed a significant improvement in SF-36 (quality of life) but not in Vo2MAX. This suggests that the intervention had a more profound effect on their perceived quality of life than on their cardiovascular fitness. Inter-group comparisons show that Group A had significantly better results in terms of Vo2MAX improvement post-intervention, while SF-36 improvements were comparable between the two groups. These results indicate that the intervention was more effective in improving cardiovascular fitness in Group A while both groups benefited in terms of quality-of-life improvement. The statistical significance in the p-values underlines the reliability of these findings. Conclusion: The results indicate that a combined aerobic and flexibility exercise regimen significantly enhances aerobic capacity and improves the quality of life in patients with T2DM. These findings support the integration of both types of exercise into rehabilitation programs for T2DM, promoting better health outcomes and overall well-being. Future research should explore long-term effects and adherence strategies to sustain these benefits.

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Type 2 diabetes mellitus, aerobic exercise, flexibility exercise, aerobic capacity, quality of life.

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ABSTRACT INTRODUCTION: Trunk strength is important for performing everyday activities. Functionally the trunk is a kinetic link between upper and lower extremities. Trunk extensor strength helps to maintain the spine stable during walking; vital in elderly individuals. Hence the objective quantification of trunk extensor strength is must and Modified Sphygmomanometer Test (MST) is suitable alternative in the clinical setting for use. So, this study is aimed to determine the normative reference values for trunk extensor strength in elder population thus establishing clinical norms for the elderly aged 60 and above. MATERIALS AND METHOD : In this observational pilot study, 60 individuals where divided into two groups comprising of 30 individuals in each group. Normative data for trunk extensor strength will be developed based on 6 different sub groups in each group of men and women. Modified Sphygmomanometer Test (MST) will be used to measure the trunk extensor strength, respectively. RESULTS : There was a significant age dependent decrease in trunk extensor strength in both men and women. The mean of trunk extensor strength by Sphygmomanometer test(MST) in age group of 60-69,70-79 and 80-89 are 33.28,29.5 and 21.5 in men and 34.28,25,18.75 in women respectively. CONCLUSION : This study adds to the normative data of Trunk extensor strength in men and women also that trunk extensor strength is age specific more in men than in female.

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trunk extensor strength, elderly, isometric contraction, normative data

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Solid waste management has become an increasingly critical issue in urban areas due to rising populations, urbanization, and industrial growth. Efficient management is essential to mitigate environmental degradation and promote public health. This review assesses the current solid waste management (SWM) strategies in urban settings, including waste collection systems, recycling processes, and waste disposal technologies. It also highlights major challenges, such as limited infrastructure, lack of public awareness, and inadequate policies. The review concludes that an integrated approach combining waste reduction, recycling, and proper disposal is key to achieving sustainable urban environments.

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Waste, Recycling, Separation, Energy, Disposal, Landfills

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Emotional Intelligence is considered as a successful predictor of academic achievement and it perceived as a type of aptitude that involves the ability to monitor one's feelings. The present study had investigated the impact of emotional intelligence on academic achievement of secondary students. The major objectives of this study was to know the emotional intelligence of secondary students in respect to the gender and different types of school as well it express to relationship in between the emotional intelligence and academic achievement of said students. Present research investigator had followed descriptive survey research design and it is mainly based on quantitative method. A total of 200 samples from govt. and private secondary schools of class IX which selected through the simple random sampling technique from the district of nadia. A standardized questionnaire (Poornima, 2017) on emotional intelligence was administered to the targeted sample group for the purpose of collection of data and scores on academic achievement was collects their previous year final examination marks. The result of the study stated that emotional intelligence of male secondary students are significantly different from the female secondary students as well the emotional intelligence of govt secondary school students are not significantly different from the private school secondary students. It also revealed from the study emotional intelligence and academic achievement are negatively correlated which means if emotional intelligence increases than the academic achievement may decreases. The study suggests enhancing emotional intelligence may not only increasing the learning process and it also improve career choice and possibility of success.

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Emotions, Emotional Intelligence, Academic Achievement, Secondary Students.

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This paper emphasizes the importance of entrepreneurship education towards enhancing sustainable development in Uttarakhand. The main problems of the state of Uttarakhand range from high rates of migration, youth and graduate unemployment; The state's excessive dependence on other states and foreign goods and technology leads to low industrial growth and development. As a result of these reasons, this paper argues that the inclusion of entrepreneurship education in the curriculum will equip students with the skills to become self-reliant. New initiatives and schemes to give a new shape to entrepreneurship education have also been discussed. The paper also recommends that educational programs at all levels of education should be made relevant to provide the youth with the necessary entrepreneurial skills, as entrepreneurship is vital drive toward job creation and overall economic growth. It is also recommended that the government should pay adequate attention to entrepreneurship development in the state through provision of good economic environment.

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Entrepreneurship, Education, Youth Empowerment, Migration, Employment, Uttarakhand.

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