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Intelligent PSO-Fuzzy logic based DC motor control system and method thereof /
"Patent Number: 201941023480, Applicant: Dr, Sachi Nandan Mohanty.
The present invention present an intelligent PSO based DC motor control System and method thereof. The system for intelligentcontrol of a DC motor, comprises a PID controller, and Particle Swarm Optimization Control unit, a PSO tuning algorithm & fuzzylogic control unit. The present system and method disclosed novel & efficient control techniques with using PSO algorithm and fuzzylogic techniques for DC motor control using a PID controller with solving problems of efficient control the prior arts Refer to Figure 2."
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Intelligent PSO-Fuzzy logic based DC motor control system and method thereof /
Patent Number: 201941023480, Applicant: Dr. Sachi Nandan Mohanty.
The present invention present an intelligent PSO based DC motor control System and method thereof. The system for intelligent control of a DC motor, comprises a PID controller, and Particle Swarm Optimization Control unit, a PSO tuning algorithm & fuzzy logic control unit. -
Intelligent PSO-Fuzzy logic based DC motor control system and method thereof /
Patent Number: 201941023480, Applicant: Dr. Sachi Nandan Mohanty.
The system for intelligent control of a DC motor, comprises a PID controller, and Particle Swarm Optimization Control unit, a PSO tuning algorithm & fuzzy logic control unit. The present system and method disclosed novel & efficient control techniques with using PSO algorithm and fuzzy logic techniques for DC motor control using a PID controller with solving problems of efficient control the prior arts. -
Intelligent Safety Life Jacket Using Wsn Technology
The body loses heat in hypothermia because it cannot maintain its internal temperature owing to a freezing environment. As a result, the body temperature will decrease rapidly. The person will lose consciousness or faint when the body temperature falls below 35C. This study targets detecting climbers' hypothermia and transmitting their health status to the climber's group. It is difficult for mountain climbers to check their health and hypothermia symptoms for themselves and their climbing companions. To address this issue, we created a life jacket with an integrated hardware kit with a Peltier, temperature, and pulse sensor. LoRa Network is used to communicate with the climber's group. Alert messages are delivered to mountaineers via the Android app and suitable protocols, which helps save the climbers if any discrepancies occur. 2023 IEEE. -
Intelligent Smart Waste Management Using Regression Analysis: An Empirical Study
The term deep learning is seen as an important part of artificial intelligence that allows the system to understand and make decisions without special human intervention. In-depth learning uses a variety of statistical models and programs that allow different computational properties to reach the highest point. It is estimated that the market development of artificial intelligence and technology for deep learning will amount to USD 500 billion by 2026. The use of advanced technology, such as neural networks, enables better image recognition and the use of automated processes for deep operations. The main purpose of the study is to understand the critical determinants of Deep Learning in Creating a better City through Intelligent Smart Waste Management, the major determinants cover: System usability scale, Implementation of RFID sensors and Optimizing route selection. The proposed work is that implementation of advanced tools like deep learning methodologies and machine learning tools can support in managing the waste in a smart way, this will enable in creating better cities, enhance the environment and support sustainable living. Smart cities today need to use tools like deep learning and other artificial intelligence to effectively manage waste. Smart vessels are mainly controlled and implemented, which makes it easier for users to open vessels, it is also suitable for storing solid and dry waste, but provides information on the total degree of filling, can share data and information with central waste management service, you can collect waste quickly and avoid flooding. To achieve this, governments, administrators and communities are introducing sensors that transmit data and information to the waste management company in real-time and take appropriate action. 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG. -
Intelligent system for automatically identifying electric vehicle charging voltage using artificial intelligence & machine learning /
Patent Number: 2020221002835, Applicant: Dr. Atul Kumar. -
Intelligent Time Management Recommendations Using Bayesian Optimization
This paper focuses on the improvement of the intelligent time management system which employ Bayesian optimization for suggesting time management plans for each particular person. In this sense, through historical data of input-output patterns and users' preferences, the system aims at increasing productivity and user satisfaction. In the study, Gaussian Processes are used as the surrogate model in the Bayesian optimization so that the required evaluations by the algorithm to realize optimal scheduling methodologies are kept to a minimum. Implementation is done as a web application where users submit their tasks and get the recommended schedule instantly. Indicators like, the degree of task accomplishment, time, and scheduling compliance, and probably the users' satisfaction suggest that system helped enhance time management results. Lack of feedback from the users is removed through questionnaire that reveals the simplicity of the system and the quality of its recommended times, thereby supporting the idea of Bayesian optimization as a game changer in the management of time. This research significance points to the need for maintaining efficient and individualized approaches to time management strategies and agrees with others' findings, which suggest that this is an area ample fiction research needs to acknowledge and pursue. 2024 IEEE. -
Intelligent Water Drops Algorithm Hand Calculation Using a Mathematical Function
The intelligent water droplets (IWD) approach is based on the dynamic of events and changes that take place in a river system. The IWD method is a solution-oriented methodology in which a group of individuals moves in discrete stages from one node to the next as a complete population of solutions is generated. The velocity, soil are the features of natural water drops in the IWD algorithm are modified over a sequence of transitions relating to water drop movement. In this study, the IWD algorithm approach is used with a mutation-based local search to obtain the optimal values of numerical functions. 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. -
Intelligent Wearable Electronics: A New Paradigm in Smart Electronics
In the last decade or so, the wearable electronics technology has seen an unprecedented growth which is expected to reach around USD 51.60 billion by the year 2022 with a CAGR of 15.51%. Intelligent wearable electronics is a combination of wide range of technologies like computation, communication, sensors, cloud computing, and display to cite a few. Integration of various technologies resultin systems which are multifunctional along with higher complexity of design presenting a unique challenge for the technologists. With Internet of Things (IoTs) becoming ubiquitous and 5G technologies around the corner, the wearable devices are no longer simple passive systems providing the user limited information, but rather they are multifunctional, powerful, and intelligent devices which make use of complex sensing and signal processing elements along with cloud computing and data analytics to provide real-time data interpretation. In this chapter, we review the recent developments of intelligent wearable electronics (WE) with emphasis on their working principle and design at various levels of abstraction, that includes material, device, and system levels, along with signal processing and communication protocol for external communication. Further, the design and development of smart wearable electronics which involves multivariant problem-solving at various abstraction levels is explained. In addition, we elucidate popular classes of smart wearables like wearable textiles, healthcare wearable electronics, and WE in education. Furthermore, we explore the primary performance constraints of typical WE systems such as battery life (energy), system architecture, communication protocols, and integration with cloud computing to, mention a few. This chapter concludes by elucidating various challenges in developing WE and the future directions of this industry. 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG. -
Intensified geopolitical conflicts and herding behavior: An evidence from selected Nifty sectoral indices during India-China tensions in 2020
The recent India-China geopolitical conflicts have presented enormous uncertainty to the investors in various sectoral indices of the Indian stock market. This empirical study aims to examine the impact of intensified India-China geopolitical conflicts 2020 on investors' herding behavior in the National Stock Exchange sectoral indices. The high-frequency data of three major NIFTY sectoral indices (Auto, Energy, and Pharma) are used in an intensified geopolitical event window to spot precisely the traces of the investors' herding behavior. Furthermore, multifractal detrended fluctuation analysis (MFDFA) is employed to obtain Hurst Exponent values (h(q)) for the NIFTY sectoral indices. The findings reveal that these NIFTY sectoral indices exhibited profound traces of herding behavior on the event day (t = 0) due to the heightened India-China geopolitical clashes. In addition, these indices depicted an overall higher level herding behavior with the (h(q)) values close to 0.72 throughout the intensified geopolitical event window. The study concludes that the sectors highly reliant on the Chinese supplies and with significant trade linkages with China depicted a higher level of herding behavior in their indices. Further, the presence of herding behavior in these sectoral indices is due to the operational and supply-chain risks posed by the geopolitical event. 2022 LLC CPC Business Perspectives. All rights reserved. -
Intensifying the social performance and sustainability of microfinance institutions to address the social challenge of sanitation: An Indian case study
The microfinance model has helped to address the world's social challenges to some extent. Sanitation is one of the world's social challenges and microfinance can be used as an intervention tool to address this. Worldwide 1.04 billion people still practise open defecation, accounting for 15 per cent of the world population, and of which 594 million are Indians. To address this sanitation problem, Bharathi Women Development Centre (Bharathi), a Tamil Nadu-based non-government organization, used its microfinance programme and group network to educate about the need for toilets, and provided the resources and technical know - how to construct latrines in individual households. So far they have successfully constructed 14,609 toilets by providing microcredit and have experienced no difficulties in repayments of loans, by which it is proved to be a sustainable programme. Bharathi has faced many challenges while implementing this project, such as raising debt fund for on-lending to its sanitation portfolio; shifting the culture of open defecation after construction of toilets, especially with male members of the family; establishing a technical know - how workforce to construct the toilets in rural areas; helping the poorest of the poor to not be burdened by the sanitation loan because of its non-income generating nature; and maintaining the low-cost construction of toilets. This study illustrates how a relatively small NGO microfinance institution was able to create a niche market and implement a sustainable sanitation programme along with its routine microfinance programme by providing awareness, technical assistance, and credit to construct toilets. Practical Action Publishing, 2015. -
Intensity of hospital waste generation and disposal in the selected hospitals in Kerala, India: an analysis based on hospital ownership
Management of hospital wastes has been considered as an integral part of hospital hygiene and infection control, which in turn depends on the intensity of waste generation and disposal. This study analyses the ownership-wise intensities of hospital waste generated, treated and disposed in the selected hospitals in the state of Kerala, India. These intensities are examined using secondary data collected from four districts of Kerala for the period from 2010 to 2014. The intensity of hospital waste generation is measured on the basis of per bed per kilogram per day and also per patient per kilogram per day basis. The study shows that private hospitals are producing significantly higher amount of waste than government and co-operative hospitals. However, private hospitals are found to be more efficient compared to government hospitals in treating and disposing the hospital waste. It is also found that the co-operative hospitals are well-organized in treating and disposing the liquid waste compared with other hospitals in Kerala. 2023, The Author(s), under exclusive licence to Springer Nature Japan KK, part of Springer Nature. -
Intention to Stay as a Moderator on Employee Job Satisfaction and Organizational Citizenship Behavior
International Journal of Management Studies, Statistics & Applied Economics, Vol-2 (2), pp. 65-74. ISSN-2250-0367 -
Intention to Stay in Relation to Organisational Socialisation Processes
Attrition is significant in an organisation as replacing human capital bears a significant cost. This study focuses on the effect of organisational socialisation processes, followed in Indian and Multinational BPO organisations on an employees intention to stay within that organisation. A field research with 395 samples was steered using a standardised 21 item questionnaire, to capture the four constructs of Organisational Socialisation and Intention to stay. Results show that there a significant relationship is prevalent between Intention to Stay and Organisational Socialisation in BPOs. Also, amongst the dimensions of organisational socialisation, future prospects and understanding of the role were associated significantly with intention to stay. It is acknowledged that higher organisational socialisation leads to greater intention to stay among employees. The critical purpose in employee retention includes keeping the organisation relevant to the employees by carefully creating their career development plans, helping them manage their work-life balance, and providing timely recognition of talent and then rewarding them. This is imperative to the HR Management as a remedy to soaring attrition rates which is also due to Future prospects and Understanding of the role, as per the findings. Keywords: organisational socialisation, intention to stay, business process outsourcing, attrition, turnover intention -
Intention to use fintech services: An investigation into the moderation effects of quality of internet access and digital skills
This paper aims to investigate the moderating influence of the quality of access to internet and digital skills on the factors that influence the intention to use fintech services among the young working population in India. We use the Theory of Planned Behavior to examine the intention to adopt financial technology in a rapidly technologically transformative Indian landscape. We conducted an empirical investigation on 324 young workers in India using the survey method. The TPB model's relevance in an Indian context is validated. Attitude, perceived behavioral control, and subjective norms together accounted for 48.7% of the variation in the intention to use fintech services. The quality of internet access significantly moderated the positive effect of young workers' attitudes on their intention to use fintech. Digital skills significantly moderated the positive effects of attitude and perceived behavioral control on intentions to use fintech services. India is considered a very fast adopter of digital technology. In India, the use of electronic channels in financial service delivery is on the rise. With the wide geographic dispersion and huge population, the quality of internet access and digital skills can influence the intention to use fintech services. There can be vast differences in the behavioral mindset of people in a developing country like India compared to that of a developed one regarding the use and adoption of digital platforms for accessing financial services. Developers and regulators must adopt approaches and policies that consider these behavioral factors. This paper examines the Theory of Planned Behaviour in the context of a rapidly transforming behavioural context in India with the adoption of technology-based financial services. The importance of quality internet access and digital skills as factors moderating the adoption of technology is examined in this paper, unlike many previous studies. 2024 Conscientia Beam. All Rights Reserved. -
Intentions to adopt the blockchain: investigation of the retail supply chain
Purpose: Blockchain can track the material from the manufacturer to the end customers. Therefore, it can ensure the product's authenticity, transparency and trust in the retail supply chain (SC). There is a need to trace and track the retail products before it reaches the customers to check the quality of the products so that expired products can be recycled and reused, which in turn will help gain customers' trust. This research aims to investigate retail employees' behavioural intention to adopt blockchain in the retail SC. Design/methodology/approach: To examine the behavioural intention of employees in the retail SC, the research uses three theories the technology acceptance model; the unified theory of acceptance and use of technology; and the theory of planned behaviour. The technology acceptance model measures the employee's acceptance of blockchain in the retail SC. The unified theory of acceptance is used in this research to measure how blockchain adoption will improve the performance of the employees. The theory of planned behaviour is used in this research to measure whether the employees intend to adopt blockchain. A survey was carried out in the retail stores of India. Exploratory factor analysis and structural equation modelling were used for data analysis. Findings: This study found that the employees of the retail stores have a positive intention and attitude to adopt blockchain technology. Further, it was found that perceived behavioural control and effort expectancy was not promoting blockchain adoption in the retail sector. Practical implications: This study will help the retail stores' employees understand the blockchain in their operations and will motivate the top management of the retail companies to adopt this technology. The study is limited to the retail SC in India only. Originality/value: This study uses three theories technology acceptance model; the unified theory of acceptance and use of technology; and the theory of planned behaviour, which were not used in earlier studies of blockchain adoption in the retail SC. 2023, Emerald Publishing Limited. -
Inter Frame Statistical Feature Fusion for Human Gait Recognition
Researches showed that gait is unique for individuals and human gait recognition gained much attention nowadays. The sequence of gait silhouettes extracted from the video sequences has its own significance for gait recognition performance. In this paper, a novel inter frame feature discriminating the individual gait characteristics is proposed. Consecutive frames within a gait cycle are divided into equal number of blocks and corresponding block differences are calculated. It can preserve the minute temporal variations of the different body parts within each block and the cumulative difference provide a unique feature capable of discriminating individuals. To avoid synchronization problems, secondary statistical features are extracted from the primary inter frame variations. Finally, feature level fusion schemes are applied on these statistical features with existing features extracted from CEI representation. The efficiency of the proposed feature is evaluated on widely adopted CASIA gait dataset B using subspace discriminant analysis. The experimental results show that our proposed feature has better recognition accuracy in comparison with existing features. 2019 IEEE. -
Inter-relational dynamics of factors affecting the emergence of orphan drugs; [Dynamique interrelationnelle des facteurs influennt lergence des micaments orphelins]
Orphan drugs are medications that are produced for the treatment of rare diseases. As there is less number of patients, the drug manufacturing companies are not keen in producing these drugs. Due to high costs of research and development and low profitability, companies do not want to invest in manufacturing of orphan drugs. Several laws have been passed by Governments of different nations to encourage the development of orphan drugs and make it available to patients. This study explores the interrelation dynamics of factors that has resulted in the greater availability of orphan drugs in recent times. Ten factors: internet technology, legislation, online patient support groups, government subsidiary, biotechnological advancements, corporate social responsibility, awareness and diagnosis of rare diseases and exclusive budgeting by pharmaceutical industries for orphan drugs related research and development and production were taken for the study. With a sample size of 38 experts, the technique of decision-making trial and evaluation laboratory (DEMATEL) was used for the study. It was found that information technology, legislation, support groups, and budget were the causes and the factors awareness, diagnosis, medicine availability, subsidiary, CSR and biotechnology emerged to be the effect. 2024 Acadie Nationale de Pharmacie -
Inter-State Migration, Footloose Labour and Accessibility to Health Care: An Exploration among Metro Workers of a Camp in Bengaluru
The neoliberal political economy that India adopted in 1991 has brought in huge Foreign Direct Investments, which has led to a perceptible increase in the number of migrants in the major cities of India due to various structural reasons in their place of origin and rapid developmental activities in the cities. Bengaluru has the second largest migrant population after Mumbai, and as per the labour department of the government of Karnataka; there are more than 65 lakh migrant workers in Karnataka, who are involved in various developmental projects, including the metro railway project in Bangalore. Even though the Karnataka Building and Other Construction Workers Welfare Board (KBOCWWB) offers certain social security, including health care for registered migrants, they must wait more than a year to get these benefits. With privatisation and increased out-of-pocket expenditure for health related issues, the migrants face a major hurdle in surviving at the migrated workplaces. Many of them are unaware of welfare boards, and the number of migrants who are registered with them is very small. This paper aims to understand the accessibility of health facilities for migrant workers working in the Bengaluru Metro Project. This research will understand the legal, economic and psychological aspects related to the health status of migrant workers through qualitative study. The study used in-depth interviews to elicit responses from selected inter-state migrant workers to understand their access towards health facilities. The thematic analysis of the interview transcripts revealed a substantive gap in workers access to health facilities. The unregulated working conditions have added more stress to the workers, and due to poverty and unemployment back home, these hurdles are not forcing them to go back. More awareness creating interventions from the government can transform their lives. (2024), (University of Duisburg). All rights reserved. -
Interacting Dark Energy and Its Implications for Unified Dark Sector
Alternative dark energy models were proposed to address the limitation of the standard concordance model. Though different phenomenological considerations of such models are widely studied, scenarios where they interact with each other remain unexplored. In this context, we study interacting dark energy scenarios (IDEs), incorporating alternative dark energy models. The three models that are considered in this study are time-varying ?, Generalized Chaplygin Gas (GCG), and K-essence. Each model includes an interaction rate ? to quantify energy density transfer between dark energy and matter. Among them, GCG coupled with an interaction term shows promising agreement with the observed TT power spectrum, particularly for ?<70, when ? falls within a specific range. The K-essence model (??0.1) is more sensitive to ? due to its non-canonical kinetic term, while GCG (??1.02) and the time-varying ? (??0.01) models are less sensitive, as they involve different parameterizations. We then derive a general condition when the non-canonical scalar field ? (with a kinetic term Xn) interacts with GCG. This has not been investigated in general form before. We find that current observational constraints on IDEs suggest a unified scalar field with a balanced regime, where it mimics quintessence behavior at n<1 and phantom behavior at n>1. We outline a strong need to consider alternative explanations and fewer parameter dependencies while addressing potential interactions in the dark sector. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024.