International Journal on Recent and Innovation Trends in Computing and Communication
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Advanced IoT Technology and Protocols: Review and Future Perspectives
Get PDFThe Internet of Things (IoT) has emerged as a disruptive paradigm, altering how we interact with our surroundings and enabling a plethora of novel applications across multiple sectors. This literature review provides a complete overview of the Internet of Things, including applications, technology, protocols, modeling tools, and future directions. The assessment begins by looking at a wide range of IoT applications, such as smart cities, healthcare, industrial automation, smart homes, and more. It then looks into the underlying technologies that enable IoT deployments, including low-power wireless communication protocols, edge computing, and sensor networks. Protocols and routing methods designed expressly for IoT networks are also described, as well as simulation tools used to simulate and evaluate IoT systems. The discussion focuses on critical insights and consequences for the future of IoT, including challenges and potential in security, interoperability, edge intelligence, and sustainability. By tackling these obstacles and using emerging technologies, IoT can create disruptive change across businesses while also improving quality of life. This review seeks to give scholars, practitioners, and stakeholders a thorough grasp of IoT and its implications for the future
Research Output on Strategy Formulation and Implementation: Global Picture, Development and Key Bibliometric Indicators
Get PDFEffective strategic management serves as the bedrock for an organization's vision, goal attainment, and stakeholder expectations. Consequently, the research focus on strategy formulation and implementation has garnered substantial attention in recent decades. This study aims to evaluate bibliometric indicators of research productivity related to strategy formulation and implementation through meticulous bibliometric analysis. The analysis leverages the R Bibliometrix library on scientific publications indexed in the Web of Science database. The dataset comprises 672 publications on strategy formulation and implementation, spanning the years 1971 to 2022. Authored by 1,280 contributors from 69 countries, these publications are dispersed across 374 diverse sources, including journals and books. Impressively, this body of work has garnered a cumulative total of 24,635 citations, averaging 36.66 citations per document. The top-ranking article, "The Resource-Based Theory of Competitive Advantage: Implications for Strategy Formulation" by Robert M. Grant, stands out with 3,649 citations. Examining global scientific production, the United States emerges as the primary contributor with 154 publications (22.91%), followed by China with 56 (8.33%) and the United Kingdom with 54 (8.03%).
The study's findings offer valuable insights for researchers and organizations alike, shedding light on significant research contributions. This comprehensive assessment enables a nuanced understanding of the historical progression and growth within this domain. Additionally, it identifies current focal points of research and highlights areas that warrant attention in future studies
Predicting Epileptic Seizures: A Comprehensive Study of ML and DL Algorithms
Get PDFEpilepsy, a complex neurological disorder marked by recurrent seizures, presents a formidable diagnostic and therapeutic challenge in healthcare. Electroencephalogram (EEG) signals are indispensable tools for detecting epileptic activity within the brain. Leveraging recent advancements in machine learning (ML) and deep learning(DL), Data Analytics our study investigates the effectiveness of various ML and DL algorithms for epilepsy detection using processed EEG data. Through a comprehensive literature review, we selected prominent ML and DL techniques such as Support Vector Machines (SVMs), Random Forest (RF) classifiers, Gaussian Naïve Bayes, CNNs, etc.
Our systematic experimentation and evaluation, conducted on a dataset sourced from the UCI Machine Learning Repository, demonstrates notable results achieved by the models exhibiting robust predictive capabilities. This research significantly contributes to advancing the field of epilepsy prediction, offering insights into the efficacy of diverse ML and DL models for seizure detection. The implications of these findings hold promise for refining epilepsy management strategies, ultimately enhancing patient care and quality of life. This underscores the imperative for interdisciplinary collaboration between neuroscience, AI, and healthcare to address the complex challenges posed by epilepsy. 
Resource Allocation Algorithm for OFDMA System based on Bidirectional Multi-Relay
Get PDFA novel approach to optimize power allocation and subcarrier pairing in a high signal-to-noise ratio (SNR) scenario within a two-way multi-relay orthogonal frequency division multiple access (OFDMA) system has been introduced. Unlike conventional methods where relays operate on individual subcarriers, our scheme allows all relays to transmit signals across each subcarrier pair, thereby leveraging significant space diversity. Operating under a constraint of total system power, our proposed scheme initially assigns power to each relay using Cauchy inequality under the assumption of fixed total relay power. Subsequently, employing a dichotomous approach, we determine the power allocation between the source node and the relay node by maximizing the equivalent channel gain across various subcarrier pairs. Finally, we employ convex programming to allocate power to different subcarrier pairs, while utilizing the Hungarian algorithm to pair subcarriers effectively, thereby maximizing system capacity. Given the inherent complexity of power allocation algorithms in two-way multi-relay networks, conventional methods lack optimal solutions with low complexity. However, our algorithm significantly mitigates the complexity associated with power allocation, particularly within a system comprising 40 subcarriers. Simulation results underscore the superiority of our proposed scheme over conventional relay selection approaches, particularly those wherein relays operate on individual subcarriers
Fractional Ownership of Shares Concept and Challenges in the Way in Indian Markets
Get PDFThe Indian financial market is growing at a very fast pace and same is happening to the stock markets too. Fractional ownership of a share is a new concept Indian financial environment is ready to accept and implement or not. What can be the challenges in implementation of the concept? This article is a view point about the positiveness and its utility of the concept of fractional shares and the amendments requirements in the concerned laws and acts to make it a practically possible
The Impact of Sales Promotion Schemes on Mobile Phone Services: A Comparative Analysis of Prepaid and Postpaid Mobile Users in Dehradun
Get PDFIndia's telecommunications business has significantly grown in the modern era of the information society. India's demand for mobile services has seen a spectacular increase, which has sparked fierce competition among various providers of telecommunications services. These companies provide a variety of promotional plans to encourage clients. In order to make educated decisions in this dynamic sector, it has become essential to comprehend consumer preferences and behavior. This study intends to evaluate consumer attitudes of several Dehradun-based mobile phone service providers, with a particular emphasis on their pricing policies and levels of satisfaction with their services. It also aims to predict how mobile phone services will affect socioeconomic developments in the future. To accomplish these goals, 150 mobile users from the city in Dehradun were randomly chosen as a sample. The results show that respondents preferred prepaid cell services over postpaid ones. The study also shows a significant relationship among respondents' monthly income and educational background and the marketing techniques they selected
Natural Language Processing in Biomedical Literature for Analysing the Effects of Neurodynamic in Pain and Disability in Carpal Tunnel Syndrome
Get PDFCarpal tunnel syndrome (CTS) a most common peripheral neuropathy characterised by numbness, tingling in the sensory distribution area of the of the median nerve, particularly in the thumb , index finger ,middle finger and radial side of ring finger along with motor weakness, distal to wrist that results into decreased hand grip strength and hand function disability. CTS puts an economy burden on healthcare services as its incidence and prevalence are increasing day by day although a slight decline in numbers has been seen over a period time. Fuzzy logic retains expert information in an intelligent system that may be effectively utilized by others, simulating the cognitive decision-making abilities of the specialist, and helping junior doctors with less expertise make better diagnoses. Therefore, the use of such an expert system is advised to speed up and enhance the accuracy of the diagnosis in patients with suspected CTS by studying different literatures. To device, evidence based therapeutic protocol from biomedical literature for the treatment of pain and disability in CTS. To analyse the effect of openers, sliders, and tensioners on NPRS and disability in carpal tunnel syndrome, using biomedical literature. Therefore, we draw the very encouraging conclusion that further research on the application of such a fuzzy expert system for medical opinion prediction and diagnosis is warranted
The Synergy of Machine Learning and AI in Cybersecurity: Exploring Issues and Challenges
Get PDFIn the continuously evolving domain of cybersecurity, the groundbreaking fusion of ML and AI has inaugurated a new epoch of intelligent systems adept at promptly detecting and countering stealthy cyber threats.Top of Form Nonetheless, harnessing the full potential of these cutting-edge technologies while ensuring their efficacy and dependability demands concerted and sustained effort. The purpose of this comprehensive research is to examine the many multifaceted challenges in the cybersecurity environment and explore innovative solutions inherent to the utilization of machine learning to deal with these challenges
Cloud-Native Application Development: Tools, Techniques, And Case Studies
Get PDFBuilding, delivering, and managing existing applications in cloud processing environments is known as the "cloud native" product approach. In order to meet customer demands, modern enterprises must create incredibly flexible, versatile, and adaptive systems that they can update quickly. In order to achieve this, they employ modern tools and processes that inherently facilitate the development of applications on cloud infrastructure. These cloud-native innovations give adopters a creative advantage by enabling rapid and continuous adjustments to applications without compromising service delivery. Organisations that adopt the cloud-native methodology might avoid investing in the acquisition and maintenance of costly physical infrastructure. Long-term reserve money is subsequently put to good use. The cost of money for developing cloud-native systems may also benefit the customers
Innovative Approaches: Leveraging Neuroscience Technologies for Understanding of Consumer Behavior in E-Commerce
Get PDFThe surge in interest surrounding the application of advanced technology in consumer behavior analysis within the e-commerce domain has grown significantly in recent years. Traditional market research methods, constrained by limitations in capturing accurate consumer responses, have paved the way for these sophisticated technologies to provide deeper insights into the intricacies of consumer behavior and decision-making processes. This comprehensive review navigates through various techniques utilized for scrutinizing consumer behavior, delving into the capabilities and limitations of each technology. EEG emerges as a powerful tool capable of measuring brain activity, shedding light on cognitive and emotional responses to marketing stimuli. The review further explores the potential applications of these technologies in the e-commerce landscape. Examples include assessing website design effectiveness using EEG. This review underscores the advantages of deploying advanced technologies in analyzing consumer behavior in e-commerce, showcasing their potential to enhance marketing strategies and user experiences. This article is particularly pertinent to applied science readers interested in the practical implementation of cutting-edge technologies in consumer behavior analysis