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Implementing a programmable drop voltage controller vlsi
This study offers a new synchronized practice area door array (FPGAs), to minimize electricity usage. Concurrent bit-serial architecture is shown in the figure to minimize energy consumption and timing synchronization of switching structures. Researchers offer a fine-grained energy control system with each Look-up database to minimize the Static energy by the channel length, which is now equivalent to the dynamical one (LUT). A 90 nm Processor is the planned field-programmable VLSI. Its electricity consumption is 42 percent lower than that of sequential design. 2021, SciTechnol, All Rights Reserved. -
Implementing artificial intelligence agent within connect 4 using unity3d and machine learning concepts
Nowadays, we come across games that have unbelievably realistic graphics that it usually becomes hard to distinguish between reality and the virtual world when we are exposed to a virtual reality gaming console. Implementing the concepts of Artificial Intelligence (AI) and Machine-Learning (ML) makes the game self-sustainable and way too intelligent on its own, by making use of self-learning methodologies which can give the user a better gaming experience. The use of AI and ML in games can give a better dimension to the gaming experience in general as the virtual world can behave unpredictably, thus improving the overall stigma of the game. In this paper, we have implemented Connect-4, a multiplayer game, using ML concepts in Unity3D. The machine learning toolkit ML-Agents, which depends on Reinforcement Learning (RL) technique, is provided using Unity3D. This toolkit is used for training the game agent which can distinguish its good moves and mistakes while training, so that the agent will not go for same mistakes over and over during actual game with human player. With this paper, authors have increased intelligence of game agent of Connect 4 using Reinforcement Learning, Unity3D and ML-Agents toolkit. BEIESP. -
Implementing Ensemble Machine Learning Techniques for Fraud Detection in Blockchain Ecosystem
A new era of digital innovation, notably in the area of financial transactions, has been conducted in by the rise pertaining to block-chain technology. Although the decentralized nature of blockchain technology renders it prone to fraud, it has been praised for its capacity to offer a safe and transparent platform for financial transactions. The integrity of the entire blockchain network may be compromised by fraudulent transactions, which may also damage user and stakeholder trust. This study aims to assess machine learning's efficacy in detecting fraudulent transactions within blockchain networks and identifying the most effective model. To achieve its objectives, this study used a combination of data collection, data preprocessing, and machine learning techniques. The data used in this study was dataset of blockchain transactions and pre-processed using techniques such as feature engineering and normalization. Then trained and evaluated using several machine learning models, including Logistic Regression (LR), Naive Bayes (NB), SVM, XGboost, LightGBM, Random Forest(RF), and Stacking, in order to determine their effectiveness in detecting fraudulent transactions. XGBoost demonstrated the highest accuracy of 0.944 in the stacking model, establishing it as the top-performing model, closely followed by Light GBM. The study's discoveries offer significant practical implications for advancing fraud detection methods in blockchain networks. By pinpointing the most efficient machine learning model and crucial predictive fraud features, this research provides vital insights for refining precise detection algorithms, enhancing blockchain network security, and broadening their reliability across various applications. 2023 IEEE. -
Implementing Innovative Weed Detection Techniques for Environmental Sustainability
Agriculture, supporting over half of India's population, grapples with the challenge of weed control. Current methods applied in plantation crops lack efficiency and pose environmental and health risks. This paper advocates a paradigm shift, emphasizing the critical need for effective weed detection using cluttered unmanned aerial vehicle (UAV) images. The research methodology integrates image processing, Mask R-Convolutional Neural Networks (R-CNN), and Internet of Things (IoT). A dataset of 200 UAV images was subjected to a thorough preprocessing. In the initial phase, weeds and crops were identified with precision employing an UAV-tailored Mask R-CNN with instance segmentation. This was found to surpass traditional methods in terms of communication between the model and the agricultural environment. For timely decision-making, real-time data were collected using IoT. Average Precision (AP) values reveal high accuracy, notably 89.1% for weeds, 88.9% for crops, and an overall precision of 89.4%. The Mask R-CNN network segments and classifies images, marking weed zones communicated to farmers via Raspberry Pi with a GSM module, enabling real-time alerts and informed decision-making for efficient weed control. This holistic approach, providing object classifications, detailed bounding boxes, and masks, addresses weed control challenges, highlighting the transformative potential of advanced technologies in agriculture. 2024, Institute for Environmental Nanotechnology. All rights reserved. -
Implementing privacy and data confidentiality within the framework of the Internet of Things
Throughout the current and future worldwide Web network infrastructure, the notion of the Internet of Things (IoT) foresees the pervasive interconnection and cooperation of intelligent things. As such, the IoT is simply the next logical step in the expansion of the Web into the real world, ushering in a plethora of unique services that will enhance peoples lives, give rise to entirely new economic sectors and smarten up the physical infrastructure upon which we rely, including buildings, cities and transportation networks. As smart devices permit widespread information collection or tracking, the IoT will not be able to reach its full potential if the vision for the IoT is not implemented appropriately. These helpful characteristics are countered by concerns over confidentiality, which have, to date, hindered the viability of IoT aspirations. In the face of widespread surveillance, the management of private information and the development of tools to limit or evade pervasive monitoring and analysis are two examples of the new difficulties brought about by such dangers. This paper considers the privacy concerns raised by the Internet of Things in depth. Henry Stewart Publications 2398-1679 (2023). -
Implementing Quality Healthcare Strategies for Improving Service Delivery at Private Hospitals in India
Healthcare is becoming the largest growing sector of India because of its huge coverage, providing services and investment by public and private players. In India growth of private hospitals have totally changed the scenario of health care delivery. This study explores the effectiveness of the strategies to provide quality health care and thereby improving the service delivery in Private Hospitals. In total 122 responses were collected after administering the questionnaires. The findings of this study reveals that quality health care strategies has positive impact on service delivery. Quality health care strategies showed a different kind of associations with three measures of quality namely structure, process and outcome measures. The implications from the study provides the need of multifaceted approach for implementing quality improvement strategies and adoption of the model for the same. This study recommends a blend of quality improvement programs with increased ICT (Information and Communication Technology) applications for enhancing the turnaround time. Further study can be conducted on other healthcare quality dimensions and strategic interventions that can enhance the quality of health care and clinical outcomes in Private Hospitals in India. 2017 Indian Institute of Health Management Research. -
Implementing quality healthcare strategies for improving service delivery at private hospitals in India /
Journal of Health Management, ISSN No. 0972-0634. -
Implementing strategic responses in the COVID-19 market crisis: a study of small and medium enterprises (SMEs) in India
Purpose: The COVID-19 pandemic presents unprecedented challenges for small and medium enterprises (SMEs) in emerging economies. This paper aims to examine how India's SMEs implement their strategic responses in this crisis. Design/methodology/approach: The study uses dynamic capability theory to explore the strategic responses of SMEs. Strategy implementation theory helps to explain how they implement innovative practices for outcomes. A research model defines the COVID-19 challenges, strategic responses and performance outcomes. The study reports the findings of an initial pilot study of 75 firms and follow-up case study results in the context of COVID-19. Findings: Firms choose their approaches according to their perceived market risks. Case studies illustrate that firms display diverse attitudes depending on their strategic direction, leadership vision and organizational culture. They achieve different outcomes by implementing specific styles of risk management practices (e.g. risk-averting, risk-taking and risk-thriving). Research limitations/implications: Although the study context is Indian SMEs, the findings suggest meaningful lessons for other emerging economies in similar crisis events. The propositions may be extended to future research in broad contexts. Practical implications: Even in the extraordinary COVID-19 market crisis, SMEs with limited resources display their strategic potential by recognizing their unique capabilities, translating them into effective actions and achieving desirable outcomes. Social implications: In the COVID-19 pandemic, top leaders' mental attitude, strategic perspective and routine practices are contagious. Positive leadership motivates both internal and external stakeholders with an enormous level of collaboration. Originality/value: This rare study of Indian SMEs provides a theoretical framework for designing a pilot survey and conducting a case study of multiple firms. Based on these findings, testable propositions are articulated for future research in diverse organizational and national contexts. 2021, Emerald Publishing Limited. -
Implication of emotional labor, cognitive flexibility, and relational energy among cabin crew: A review
The primary aim of the civil aviation industry is to provide a secured and comfortable service to their customers and clients. This review concentrates on the cabin crew members, who are the frontline employees of the aviation industry and are salaried to smile. The objective of this review article is to analyze the variables of emotional labor, cognitive flexibility, and relational energy using the biopsychosocial model and identify organizational implications among cabin crew. Online databases such as EBSCOhost, JSTOR, Springerlink, and PubMed were used to gather articles for the review. The authors analyzed 17 articles from 2001 to 2016 and presented a comprehensive review. The review presented an integrative approach and suggested a hypothetical model that can prove to be a signitficant contribution to the avaition industry in particular and to research findings of aviation psychology. 2018 Indian Journal of Occupational and Environmental Medicine | Published by Wolters Kluwer-Medknow. -
IMPLICATIONS OF ALLOWING FDI IN INDIAN MULTI- BRAND RETAIL
The retail industry in India has often been hailed as one of the sunrise sectors in the economy.The Indian government is mulling about allowing FDI in multi- brand retailing. While some people welcome this move, others oppose it. The study tries to identify the opinion of retailers towards this move. The study examines the issues related to various aspects of FDI including, product related, place related, process related, promotion related, people related, price related issues, physical evidence and environmental related issues. Survey research method was followed in this study. Questionnaire was used for collecting primary data. Secondary data is collected from selective sources of data like journals, websites, text books, company brochures, magazines and newspapers. The convenience sampling technique was used. A sample of 200 retailers was selected from the Bangalore city. The statistical techniques which are used in the study include descriptive statistics, frequencies and percentages, reliability test, chi- square test, one- way ANOVA, two- way ANOVA and Correlation. The following were the hypotheses in the study: H1 ?? Agreement on FDI in retail is dependent on the duration of business among the retailers H2 ?? Agreement on FDI in retail is dependent on the level of investment among the retailers H3 ?? There is statistically significant difference on perception on agreement of FDI in retail by various levels of agreed and non- agreed retailers H4 ?? There is statistically significant difference on perception on agreement of FDI in retail by various levels of investments of business among retailers H5 ?? There is statistically significant influence on perception on agreement of FDI in retail based on both agreed level and level of investments H6 ?? There is statistically significant relations among the perceived factors of agreement on FDI in retail among retailers. The major findings of the study was that there is a mixed reaction among the retailerstowards allowing FDI in multi- brand retail, a majority of them seems to directly or indirectly prefer the entry of foreign players. However the respondents prefer a calibrated and cautious approach towards the introduction of FDI thereby safeguarding the interests of small retailers. If FDI is allowed in retail, there could be a multi ?? sector growth. India Inc. can expect a path of growth to achieve its target of 9 per cent GDP growth rate. The new firms that enter the market will get new technology and can acquire competitiveness. . It is estimated that FDI in multi- brand retail will create nearly 10 million job opportunities in the next three to four years. This will help in reducing the countrys unemployment to a large extent. The creation of more jobs will enhance the standard of living of farmers as they would get better returns on their yields by selling directly to the retailers rather than selling it in the intermediaries. FDI will also help in bringing food inflation under control. Key Words: Multi- brand Retailing, FDI, Organized Retailing, Unorganized Retailing -
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Implications of Goods and Services Tax on Indian Micro, Small and Medium Enterprises
This research explores the impact and provides implications of Goods and newlineServices Tax , a comprehensive indirect tax reform on the growth of Indian newlineMSMEs, the fundamental drivers of economic progress and employment in India. newlineThe purpose is to assess the relationships and impact of the knowledge of GST, newlineInput tax credit (ITC), Revenue neutral rate (RNR), and GST compliance on the newlinegrowth of Indian MSMEs. Also, the research focuses on the interceding role of GST newlinecompliance in the relationship between GST knowledge, ITC, RNR and MSMEs newlinegrowth, as well as to discover facets that impede the implementation of effective newlinetax policies, particularly in the context of MSMEs. This study is based on a Crosssectional Survey with 531 MSME participants who are registered under Regular newlinescheme. Structural Equation Modelling - Partial Least Squares (SEM-PLS) in newlineSmart PLS4 was utilized to examine the relationships amongst the variables, assess newlinethe impact of each variable on the outcome variable, either directly or indirectly and newlineto test the research hypotheses. The results show, GST knowledge, ITC, and RNR newlinehave significant positive effects on GST compliance and on perceived growth of newlineMSMEs. Also, the study found, GST compliance has a complementary partial newlinemediating role in the relation between these factors and perceived growth of newlineMSMEs. Furthermore, GST knowledge, ITC, and RNR have positive effect on newlineperceived MSMEs satisfaction with the GST system. But, the effect of GST newlineknowledge and ITC on perceived satisfaction of MSMEs through GST Compliance newlinewas not significant. This hints that, while knowledge of GST and ITC are important, newlinecomplications in claiming ITC and burdensome compliance requisites can newlineunpleasantly impact compliance and satisfaction with GST. The study also newlineobserved significant variations in perceptions of GST knowledge, ITC, RNR, GST newlineCompliance, MSMEs satisfaction, and MSMEs growth across different newlinedemographic variables. -
Importance of Artificial Intelligence (AI) and Robotic Process Automation (RPA) in the Banking Industry: A Study from an Indian Perspective
The papers primary focus is intelligence creation by AI and fast implementation by RPA. It starts with the applicability of the Turing test propounded by Alan Turing, the father of Artificial Intelligence (AI). At the backdrop lies various events, namely the recent motivation addition of various bank account holders. These factors fuelled the demand for AI and RPA implementation in the banking industry. It pitched how AI and RPA work in real-time scenarios such as financial fraud and money laundering. It discusses how AI builds the knowledge graph and recommends products and services for each customer. This knowledge is implemented and delivered using RPA. The AI application gained prominence in every banking business segment, such as equity, personal, investment and loan. The application of RPA is present in all business segments, although the percentage is increasing yearly. The AI and RPA can help banks to convert the challenges to opportunities. There have been various challenges, and the application of AI and RPA combinations is the key to solving the inefficiencies. Advanced analytical techniques on open-source data have been used in this paper. 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. -
Importance Of Artificial Intelligence in Improving Human Resource Management For Companies To Find Suitable Candidature
The efficient use of pertinent human resources both inside and outside the company via management structures guided by economic and humanistic principles is known as human resource management. It is a catch-all word for a set of actions that guarantee the accomplishment of group objectives and the optimization of member growth. Employers need the correct recruitment tools to fill available positions since traditional recruiting approaches are not up to par in the global talent battle. First, as the digital tool redesigns business, we look at how talent acquisition has evolved from digital 1.0 to 3.0 (AI-enabled). Artificial intelligence technology has made recruiting more efficient and made recruiters' daily tasks easier. Additionally, the analysis in the paper shows that artificial intelligence (AI) is crucial to every step of the hiring process, including promotion, application, screening, evaluation, and coordination. This study demonstrates how organizations are realizing the value of talent management in gaining a competitive edge as the need for higher-level talent grows. Even though some HR managers are using AI for talent acquisition, our research shows that there is still an opportunity for development. 2024 IEEE. -
Importance of brain-based learning in effective teaching process
Neuroscience plays an important role to inform about brain functioning and corresponding behaviors. While scientists have continuously studied about brain in its entirety, several other fields in science, arts, and humanities are drawing applications from these neuroscientific studies. Similarly, in terms of education too, there are several applications. Once such is brain-based learning. This is to learn and teach with an understanding about brain's capability and functioning to increase one's learning potential. In order to do so, effective teaching is required. This particular chapter thus focuses on different teaching strategies which adopt brain-based learning and are evidence-based. The chapter initially informs about neuroscience and cognitive science interaction and its impact on effective teaching-learning process. After which evidence-based teaching strategies in classrooms, their importance via evidence-based studies, and techniques to incorporate them in classroom settings are explained. Finally, the chapter concludes with challenges and benefits. The Author(s), under exclusive license to Springer Nature Switzerland AG 2021. All rights reserved. -
Importance of Genetic Model in Huntingtons Disease
Huntingtons disease (HD) is the first defect-mapped autosomal-dominant, progressive neurodegenerative disorder with a distinct phenotype found in 1983, which contributed to the concept of human genome project. Thus, the search for genetic defects pioneered various mapping and gene study technological prototypes that culminated in identification of distinct disorders. Huntingtons disease has many symptoms, including chorea and dystonia, incoordination, cognitive decline and dementia, and behavioral difficulties. This disease can manifest any time over the age of 30 years, with the first sign and symptom being behavioral changes, which might include lack of emotions, periods of aggression, excitement, and anger. HD duration varies, ranging from 10 to 25 years or more depending on the individual. It is caused by a single gene defect on chromosome number 4, wherein a person requires only a single copy of the defected gene to show the symptoms; that is, a person with parent with the HD gene has a 50% chance of suffering. The disease becomes prominent in a human being as a result of mutations in a gene called Huntington that is located on the p arm (short arm) of chromosome 4 (4p 16.3). This chapter discusses the genetic model of Huntingtons disease and its importance. An increase in the normal number of repeat CAG (cytosine, adenine, and guanine) segments, (i.e. > 35 CAG) is seen in the Huntington (HTT) mutation that causes the disease. The severity of the disease depends on the sized expansion (i.e. increasing CAG repeats will accelerate the age of onset of the disease). Continuing studies of genetic modifiers-genes whose natural polymorphic variation contribute to the alteration and development of the D gene-offers to open new gateways for early diagnosis by unlocking the biochemical changes that occur years before diagnosis, thereby providing validated target protein and pathways for rational therapeutic interventions. This is also added as a section in this chapter. 2025 selection and editorial matter, Sachchida Nand Rai, Sandeep Singh, Santosh Kumar Singh. -
IMPORTANCE OF POLITICAL CARTOONS TO NEWSPAPERS
Political cartoons are an important part in any newspaper. Political cartoons adorn a small part of a newspaper, often in a corner. The position of this piece although small the impact is huge. A cartoon conveys a lot of information in very few words. The emotions behind the political cartoons are genuine and although harsh, are taken with a sense of humour. While incomparison editorials are, firstly for the elite masses who understand the highly intellectual content of the piece, also editorials have a tendency to be politically correct and hold back, unlike cartoons. Cartoons are generally blatant about their stand on the issue. There have been controversial cartoons like JyllandsPostenthe Mohammad cartoon and the effective yet less controversial R.K.Laxman. The dissertation will concentrate on how political cartoon are infact one of the most important parts of any newspaper. It will try to understand the effectiveness of political cartoons over editorials. How political cartoons are a means of communication. The researcher will also try to understand how R.K.Laxman and the common man have become symbols for the ??aamaadmi??. The methods of research will include a qualitative analysis of political cartoons by interview and a quantitative analysis by questionnaire method to understand how people perceive cartoons over editorials. The researcher having completed the researcher is in a position to make comments about the effectiveness and popularity of cartoons. -
Importance of political cartoons to newspapers /
Political cartoons are an important part in any newspaper. Political cartoons adorn a small part of a newspaper, often in a corner. The position of this piece although small the impact is huge. A cartoon conveys a lot of information in very few words. The emotions behind the political cartoons are genuine and although harsh, are taken with a sense of humour. While incomparison editorials are, firstly for the elite masses who understand the highly intellectual content of the piece, also editorials have a tendency to be politically correct and hold back, unlike cartoons. Cartoons are generally blatant about their stand on the issue. There have been controversial cartoons like JyllandsPostenthe Mohammad cartoon and the effective yet less controversial R.K.Laxman. -
Importance of positive emotions in software developers performance: a narrative review
Software development depends heavily on human efforts and collaborations, which are simultaneously influenced by human emotions, and it is considered among the most difficult tasks. Software developers are susceptible to various health concerns such as burnout, anxiety and depression due to the work nature and demands of the software industry, and this may have detrimental effects on their performance. However, evidence portray significant beneficial effects of positive emotions on well-being, growth, and success. Accordingly, this paper investigates the relevance of positive emotions among software developers and strives to understand how positive emotions benefit developers performance. It surveys literature that examine the importance of affect among developers and the benefits of positive emotions on human well-being and employs a narrative style to present these aspects. This review discusses the potential mechanisms that underlie the association between frequent experiences of positive emotions and improved performance and suggests that positive emotions benefit developers performance. This emotional awareness has the potential to enhance the developer efficacy, thus contributing to the discipline of ergonomics. Findings also have positive implications for organisational counsellors as they help in developing and maintaining a positive organisational climate. 2022 Informa UK Limited, trading as Taylor & Francis Group. -
Importance of Sustainable Marketing Initiatives for Supporting the Sustainable Development Goals
Businesses that engage in sustainable marketing can benefit both the world and their bottom line. Earlier, companies could satisfy many customers by simply providing low pricing and high-quality goods. However, peoples concern for the environment and other social concerns have grown, and so has their desire to support groups that share their beliefs. Because they often generate strong market returns and demonstrate durability during economic downturns, many investors want to support businesses that use sustainable business methods. Also, these businesses are more likely to comply with social and environmental laws. Several companies use sustainable marketing to succeed in todays ethical and ecologically sensitive marketplace. Organizations must finance sustainability programs in order to practice sustainable marketing. But, it can also improve employee engagement, promote regulatory compliance, raise revenues, and build brand loyalty. 2023 by IGI Global.