Centric Model Research Articles

Secure Patient Data Monitoring and Efficient Routing Optimization using a Hyperelliptic Curve Cryptography with Fuzzy-based Priority in WBSN

Aims and Background: Wireless Body Sensor Network (WBSN) technology is one of the major research areas in the medical and entertainment industries. A wireless sensor network (WSN) is a dense sensor network that senses environmental conditions, processes, and outgoing data at the sink node. A WBSN develops patient monitoring systems that provide the flexibility and mobility needed to monitor patient health. In data communications, it is difficult to find flexible optical routing paths, switching capabilities, and packet processing in the composition of optical networks. Information-centric networks (ICNs) are a new network model and are different from information- centric models. The priority of the information-centric model is the communication network. Objectives: In the existing literature, such methods are typically developed using computationally expensive procedures, such as bilinear pairing, elliptic curve operations, etc., which are unsuitable for biomedical devices with limited resources. Using the concept of hyperelliptic curve cryptography (HECC), we propose a new solution: a smart card-based two-factor mutual authentication scheme. In this new scheme, HECC’s finest properties, such as compact parameters and key sizes, are utilized to enhance the real-time performance of an IoT-based TMIS system. Methodology: A fuzzy–based Priority Aware Data Sharing (FPADS) method is introduced to schedule the priority data and monitor the transmission length. The child node adjusts the transmission speed of the cluster head with the help of a fuzzy logic controller (FLC). Results: The proposed model estimated the traffic load of the child node and the priority of the different amounts of data to be transmitted. The principle of scheduling data packets to be developed is based on the precedence of the data with the lowest transmit length in the network. Conclusion: The proposed FPADS performance increases in terms of scheduling time utilisation, traffic distribution, and mean delay. Simulations have been done using NS2, and the outcomes have shown that the proposed methodology is efficient and improves the overall QoS of the system.

People centric governance model for smart cities development: A systematic review, thematic analysis, and findings

In the Gulf Cooperation Council (GCC) region, comprising Saudi Arabia, the United Arab Emirates, Kuwait, Bahrain, Qatar, and Oman, advanced urban planning and cutting-edge projects signify a dedication to modernity and prosperity. These nations, renowned for substantial energy reserves, are crucial players in the global energy landscape, contributing 45% of proven oil reserves, 25% of oil exports, and 18% of proven natural gas reserves. Significant investments in planned cities showcase the GCC region’s commitment to renewable energy with megaprojects serving as key promoters of a nationalist vision for modernization and sustainability. Criticism has been directed at ambitious designs and sustainability rhetoric, as seen in projects like Masdar City, originally envisioned as carbon-neutral but encountering challenges in realization.The implementation of Smart Cities in Oman is in its early stages, marked by a lack of comprehensive industry-level studies and an absence of an established frameworkbased approach. Limited industry-level studies address citizen-centric Smart governance thereby impacting Quality of Life. Current research emphasizes technology and innovation rather than the cultural sentiments of the local community resulting in gaps in people-centric approach. Moreover, there’s no empirical research to validate the influence of People on Public-Private Partnership enterprises in Smart City development, necessitating the development of a conceptual framework or model to highlight the influence of people on Smart Cities. This deficiency is resulting in a stagnation of innovation and an insufficient quality of life. The goal is to measure the effectiveness of the participatory governance model in improving the quality of life for residents within the smart city. By addressing the identified deficiencies through the application of participatory governance, the research aims to pave the way for a more effective and people-centric approach to smart city development, ultimately fostering innovation, enhancing the quality of life, and promoting sustainable and inclusive outcomes.

Implementation of a client–centric model of customer service (based on the example of customer service in the field of telecommunications and communications)

Growing competitive pressure and problems of customer churn in the telecommunications industry determine the need for an intensive transition to customer–centric service. The article studies the features of the implementation of a client–centric model of customer service using the example of customer service in the field of telecommunications and communications. The key stages and principles of transition to a customer–centric model are formulated, and the maturity levels of the customer relationship management system are highlighted. Based on the analysis of scientific literature on the research topic, the features and key approaches to managing customer service, development and strategic planning in the activities of telecommunications companies are determined. Objective differences are established in building relationships with B2C and B2B client segments. Based on the results of the study, recommendations are formulated for the implementation of a client–centric model of client service in the field of telecommunications and communications, suggesting a transition to an integrated construction of a client–centric business model for the telecommunications business. It is emphasized that despite the historical tendency towards short–term planning in the telecommunications industry, a customer–centric business model is becoming increasingly in demand in inextricable connection with the ecosystem approach and maximum customer retention.

Designing for Modern Living

This study delves into the evolving landscape of modern living in South Korea, which has the widespread apartment complexes that have emerged from the efficiency centric approaches of industrial capitalism. It explores the paradigm shift in the 21st-century capitalist society, which now values creativity and individual expression over functionality and uniformity. This shift has led to a noticeable disparity between the monotonous spatial composition of mass-produced housing and the dynamic, creative lifestyles of contemporary residents. The research method involves a comprehensive analysis of both lifestyle and architectural magazines, providing insights into the changing preferences and lifestyles of residents, as well as the perspectives of professionals. The study aimed to highlight the changing nature of residential spaces and the design strategies, moving away from the conventional utility-focused designs, towards environments that foster creativity and reflect the individuality of inhabitants. Key findings indicate a growing public preference for residential spaces that are versatile, creatively stimulating, and aligned with the multifaceted nature of modern lifestyles. Contrasting these views, architectural experts emphasize the fundamental values of living, advocating for spaces that connect residents with nature and enrich everyday experiences through sensory engagement. The study concludes that while there is a divergence in perspectives between the general public and architectural specialists, both recognize the necessity for sustainable housing solutions. These solutions should cater to contemporary societal changes while preserving essential life values, thereby overcoming the limitations of the prevalent apartment centric urban housing model in South Korea.

A context-aware energy saving information centric (CAES) model for wireless communication network

The CASE model improves the traditional wireless communication approach by deploying an energy-efficient information-centric algorithm that also enables the tiny low-powered communication nodes of the wireless network to work efficiently with the context-aware energy-saving interface. CAES introduces buffer optimization and a smart routing process among all the low-capacity tiny nodes. Moreover, the gathering of Context-aware energy-saving information also takes care of the performance as well as the management of the traffic load of the entire wireless network. Toward the objectives of the proposed algorithm, which ensure a high ratio of content delivery with an efficient energy saving and energy utilizing scheme, this paper is trying to design a type of Wi-Fi environment that carry the data packet and delivery services carefully without falling down the connection or losing the data contents. In addition to this, this paper concentrate on the measurement of Expected Production Quality (EPQ) values, using loss and quality functions based on various quality parameters to be calculated as one of the measured parts of this research work that defines the ratio of reliability and efficiency of CAES. Further, the implementation of CAES defines the improvement of this research work in the form of managing various quality of communication parameters such as packets delivery ratio, end-to-end Delay and throughput measurement. This manuscript proposes a novel version of the context-aware routing mechanism in a wireless network since traditional wireless communication protocols like SADODV, RAEED-EA are not vulnerable to offer best of communication services. This work aims to manage common communication quality parameters such as Packet Delivery Ratio, End to End Delay and Throughput to be improved using information-centric route management services under denial-of-service (DoS) attacks by implementing context-aware energy saving (CAES), which simultaneously deploys energy efficiency and buffer optimization. This paper simulates and compare the resulting parameters with traditional protocols which defines the importance and role of CAES model for the future of Communication Technology.

A Knowledg Graph Model for e-Government

Many governments around the world have invested huge amount of resource to build their e- Government capabilities, to meet government objectives of effective public service delivery and citizens engagement. The increase in size of an e-Government landscape has led to the increase in complexity of the infrastructure. This increasing complex infrastructure presents a challenge for governments to continue to meet its objectives. Knowledge Graph (KG), a constituent AI technology, has shown a lot of promise in helping governments meet its objectives in the midst of the complexity. A major aspect of this complexity is the need to maintain a single view of the world, in the form of a unified meaning of data, within a given e-Government instance, given the heterogeneity in data models used in the different departments within an e-Government instance. In this paper, we present a unique perspective in addressing the problem of deriving semantic meaning from disparate data in an e-Government context, using KG. Our aim is to advance the objectives of effective service delivery and citizens engagement in a complex e- Government instance. We focus on creating a data- centric architectural model that is single, simple and extensible, based on KG. We create a functional model based on architectural view and viewpoints from standards such as The Open Group Architectural Framework (TOGAF). The functional model highlights the various components that underpin the functions. We have developed our model within the context of a Design Science Research (DSR) approach, and we provide evaluation of same model within that context. An e- Government KG model guides the development of KG solutions in e-Government, in order to achieve the e- Government enterprise goals of effective service delivery and citizens engagement.

A systems identification approach using Bayes factors to deconstruct the brain bases of emotion regulation.

Cognitive reappraisal is fundamental to cognitive therapies and everyday emotion regulation. Analyses using Bayes factors and an axiomatic systems identification approach identified four reappraisal-related components encompassing distributed neural activity patterns across two independent functional magnetic resonance imaging (fMRI) studies (n = 182 and n = 176): (1) an anterior prefrontal system selectively involved in cognitive reappraisal; (2) a fronto-parietal-insular system engaged by both reappraisal and emotion generation, demonstrating a general role in appraisal; (3) a largely subcortical system activated during negative emotion generation but unaffected by reappraisal, including amygdala, hypothalamus and periaqueductal gray; and (4) a posterior cortical system of negative emotion-related regions downregulated by reappraisal. These systems covaried with individual differences in reappraisal success and were differentially related to neurotransmitter binding maps, implicating cannabinoid and serotonin systems in reappraisal. These findings challenge 'limbic'-centric models of reappraisal and provide new systems-level targets for assessing and enhancing emotion regulation.

Do Industries and Corporations of this Generation Align with the Thoughts of Milton Friedman on Corporate Social Responsibility?

This research paper delves into the alignment of modern corporate social responsibility (CSR) practices with Milton Friedman's theory that a corporation's primary responsibility is profit maximization for its shareholders. It examines the pharmaceutical, banking, and food and beverage sectors to assess Friedman's theory's relevance in the current business environment. Contrary to Friedman's 20th-century view that dismissed broader CSR obligations, the 21st century has witnessed a shift towards recognizing corporate duties toward society, the environment, and a broader stakeholder group. The study scrutinizes how these sectors balance profit goals with social responsibility, including sustainable investing, responsible lending, sustainable sourcing, waste management, and nutritional transparency. Employing a mixed-method approach with data from corporate reports and sustainability indices, preliminary findings indicate a spectrum of adherence to Friedman’s profit- centric model versus a comprehensive CSR approach. Results show that while profitability remains central, many corporations have integrated CSR into their business models to varying degrees, influenced by a complex mix of factors. This nuanced exploration provides insights into the evolving nature of CSR, offering a critical perspective on Friedman's relevance today and the degree to which corporations have embraced broader social responsibilities. It lays the groundwork for future research on the interplay between corporate profitability, shareholder value, and social responsibility, contributing valuable information for stakeholders, policymakers, and researchers interested in corporate ethics and sustainability.

Security and Safety in Cyber-Physical System (CPS): An Inclusive Threat Model

A Cyber-Physical System (CPS) is a combination of computational algorithms and physical processes that are integrated together. Cyber-Physical Systems (CPS) integrate computer and communication capabilities with the monitoring and management of physical parts, establishing a mutually beneficial interaction between the cyber and physical components. Industrial Control System (ICS) is one example of CPS which integrates the physical (OT) and cyber domains (IT), which makes them more vulnerable to attacks. Two essential characteristics of Cyber-Physical Systems (CPS) are safety and security. Threat models are methods for identifying, analysing, and proposing security control countermeasures for threats and their capabilities. However, the threat model methods which are used for the traditional IT systems are not sufficient as they do not include the physical interactions, consequences and impacts to the safety aspects in the Operational Technology (OT). On the other hand, a risk assessment analyses attack scenario, examines cybersecurity from the attacker's point of view, and gives cost-benefit data to support the expenditure on security measures. This study proposes an inclusive attacker’s centric threat model and pro-active risk assessment model for CPS using Mamdani Fuzzy Inference System (FIS). The outcomes of the threat model prove that the lateral propagation of the threat is possible and threat may also propagate from the CPS assets to the IT segment. The risk assessment by using FIS shown that the safety and security risk for the CPS is significant and calculated as medium level. Hence, the risk factors that are considered in calculating the overall risk for a CPS need to be immediately addressed and mitigated.

Effect of the injection position on mixing time in a centric gas-stirred ladle water model assisted by a systematic CFD study

Effect of the injection position on mixing time in a centric gas-stirred ladle water model assisted by a systematic CFD study

Blockchain and Machine Learning Integrated Secure Driver Behavior Centric Electric Vehicle Insurance Model

Blockchain and Machine Learning Integrated Secure Driver Behavior Centric Electric Vehicle Insurance Model

A functional contextual, observer-centric, quantum mechanical, and neuro-symbolic approach to solving the alignment problem of artificial general intelligence: safe AI through intersecting computational psychological neuroscience and LLM architecture for emergent theory of mind.

There have been impressive advancements in the field of natural language processing (NLP) in recent years, largely driven by innovations in the development of transformer-based large language models (LLM) that utilize "attention." This approach employs masked self-attention to establish (via similarly) different positions of tokens (words) within an inputted sequence of tokens to compute the most appropriate response based on its training corpus. However, there is speculation as to whether this approach alone can be scaled up to develop emergent artificial general intelligence (AGI), and whether it can address the alignment of AGI values with human values (called the alignment problem). Some researchers exploring the alignment problem highlight three aspects that AGI (or AI) requires to help resolve this problem: (1) an interpretable values specification; (2) a utility function; and (3) a dynamic contextual account of behavior. Here, a neurosymbolic model is proposed to help resolve these issues of human value alignment in AI, which expands on the transformer-based model for NLP to incorporate symbolic reasoning that may allow AGI to incorporate perspective-taking reasoning (i.e., resolving the need for a dynamic contextual account of behavior through deictics) as defined by a multilevel evolutionary and neurobiological framework into a functional contextual post-Skinnerian model of human language called "Neurobiological and Natural Selection Relational Frame Theory" (N-Frame). It is argued that this approach may also help establish a comprehensible value scheme, a utility function by expanding the expected utility equation of behavioral economics to consider functional contextualism, and even an observer (or witness) centric model for consciousness. Evolution theory, subjective quantum mechanics, and neuroscience are further aimed to help explain consciousness, and possible implementation within an LLM through correspondence to an interface as suggested by N-Frame. This argument is supported by the computational level of hypergraphs, relational density clusters, a conscious quantum level defined by QBism, and real-world applied level (human user feedback). It is argued that this approach could enable AI to achieve consciousness and develop deictic perspective-taking abilities, thereby attaining human-level self-awareness, empathy, and compassion toward others. Importantly, this consciousness hypothesis can be directly tested with a significance of approximately 5-sigma significance (with a 1 in 3.5 million probability that any identified AI-conscious observations in the form of a collapsed wave form are due to chance factors) through double-slit intent-type experimentation and visualization procedures for derived perspective-taking relational frames. Ultimately, this could provide a solution to the alignment problem and contribute to the emergence of a theory of mind (ToM) within AI.

Local centric energy estimate model for clean and affordable power generation in a solar integrated passenger vehicle

Clean energy generation from Vehicle Integrated Photovoltaic (VIPV) technology is prudent to foster future smart transportation in passenger cars. A VIPV vehicle remits a reliable energy generation scenario in static and dynamic modes. The estimation of irradiance hovering over a vehicle's surface exposure metrics is based on the diurnal sun-path at the local centric coordinate system (LCCS). By inferring the locations' analemma curve, the irradiance patterns can be derived. Literature reports that the irradiance patterns on a parked static vehicle (PSV) are unexplored till date, particularly under southern Indian conditions. In this study, we propose an LCCS for a static vehicle to understand the irradiance over the vehicle when parked in two different cardinal orientations at Vellore (12.9717° N, 79.1654° E), India. Further, experiments were conducted over a PSV facing due south of the location to validate the theoretical claims and factual irradiance patterns. The results reveal that theoretical observations and energy estimates were in proximity with experimental measurements by a deviation of <15 %. An estimated solar potential energy yield of up to 1.66 to 2.09 kWh per day can be attained from a PSV when integrated with thin-film flexible solar modules over the lateral surfaces.

The obsolescence of detention: Versatility, expendability and plasticity in the field of immigration confinement

Studies on immigration enforcement and bordered penality frequently depict immigration detention as a system of confinement enforced in closed, relatively opaque facilities geared towards the expeditious deportation of non-citizens. This notion is actually a synecdoche of the diverse forms of containment and the varying, more or less dispensable roles played by detention practices within immigration enforcement systems. This paper challenges this perspective by considering prominent changes taking place in the detention field across Europe, which can be seen as signals of a gradual detention crisis. In this respect, it explores the versatility of detention practices, which have made the detention system particularly resilient. Despite this resilience, though, the paper unveils and maps the obsolescence of detention centric models of immigration enforcement, which manifests itself in the jurisdictions in which detention systems either are largely irrelevant or have been shrinking in the recent past. Additionally, the paper examines the consolidation of the hotspot archipelago in Mediterranean Europe, which has expanded the containment capacity of the border control apparatus and made it increasingly plastic. Yet the hotspot system is in itself an additional manifestation of the obsolescence of detention-centric models of enforcement. After having scrutinised these different dimensions, the paper concludes by exploring the promises and pitfalls of a changing detention landscape and suggesting directions for future research.

Edge-centric energy efficient LSTM with federated learning model based computation offloading for IoT applications

A more recent innovation to support cloud computing is edge computing that can address the deficiency of the existing centralised cloud computing paradigm and bring compute and storage resources closer to devices. Edge computing isn’t always the same as conventional cloud computing. Edge computing isn’t always the same as conventional cloud computing. It is a new computational model that performs computation at the network edge. Its crucial idea is to bring computing in the way of the information’s source. Task scheduling is the process allocating incoming requests (tasks) using a specific method to make the best use of the resources for the needed process. Users of services must submit their requests online because cloud computing is the technology used to deliver services through the internet. This paper aims to provide an Edge centric LSTM model with Federated learning for Data storage and model training that will take place on powerful edge servers in distributed ML methods. a massively distributed tasks requiring Processing on-site, coordinating the task remotely and execution are carried out in collaboration with number of multiple edge nodes and the distant cloud infrastructure. As a result, improved computation offloading and networking tradeoffs are possible to achieve low latency, large bandwidth take place on powerful edge servers.

An Adaptive Consumer Centric Management Model For Central Bank Digital Currency With Special Reference To Coimbatore District

A revolutionary turning point in the financial services industry has been reached with the introduction of Central Bank Digital Currency (CBDC). This research proposes an adaptable Consumer-Centric Management Model (CCMM) designed for the distinct financial environment of Coimbatore District, with the potential to transform digital transactions and consumer interaction. The model uses insights from customer experiences and preferences, with a focus on consumer protection, privacy, and security. To collect both quantitative and qualitative data for the study, a mixed-method approach is employed, which involves conducting stakeholder interviews and surveys. The Coimbatore District's financial institutions, central banks, and regulatory bodies can incorporate CBDC in a way that puts the interests of their customers first by following the guidelines provided by the CCMM. It covers stakeholder cooperation, risk management, consumer awareness, and regulatory compliance.

Region Centric Multi Feature Growth Analysis Model for Efficient Plant Selection and Recommendation

Region Centric Multi Feature Growth Analysis Model for Efficient Plant Selection and Recommendation

Decision making on consistent customer centric inventory model with quality sustenance and smart warehouse management cost parameters

Customer acquaintance and the quality of the products decide the survival span of all the business sectors. Every production firm attempts to manufacture novel products with attractive and compatible features to satisfy the demands of different types of customers, especially with a special preference for the consistent kind of customers. A decision-making inventory model compassing the initiatives taken by the production firm for consistent customers is developed with the inclusion of costs associated with quality conservation and warehouse management. The reliability of the model is validated with numerical examples and inferences on parametric variations are made by comparing the results employing MATLAB software. The proposed model shall be further discussed in a fuzzy environment

Entrepreneurial Elements of Activity for Value-Based Selling -A Product Centric Perspective Model

Purpose: The successful implementation of VBS entails eight process elements of activity Yet Practical application showed a difference between theory and practice when its about to turning the concept into action in entrepreneurial domain, to address this gap this study aims to contribut to the improvement of the VBS implementation processes by exploring and designing a Product Centric VBS model for entrepreneurs, and by doing this to contribute to the general body of knowledge of VBS.&#x0D; Methodology: The research design builds on the Descriptive practice-oriented research methodology.&#x0D; Findings: While our study confirms earlier research on value-based selling antecedes and consequences we also identify epistemological assumption that the marketing organizational tier is the appropriate level for initiating VBS elements of activity hence the value co-creation process will be rationally superseded by value pre-crafting in collaboration between supplier and transitional entrepreneur.&#x0D; Unique Contributions to Theory, Policy and Practice: As earlier studies for Successful implementation of value-based selling and the conceptualization of the approach adopted a customer value co-creation perspective. These descriptions can form first stone in the milestone for further research in which propositions could be tested based on the assumptions that we used when we elaborated the parameters that form the construct of the model that we developed.

Moon-Earth: Prospects for a lunar-centric scenario for space development after 2030

Gerard K. O’Neill idea of large habitats built from outer space resources in his 1974 Physics Today article “The Colonization of Space” resulted in a flurry of speculation and research and development work aimed at use of lunar resources to build large-scale solar-power satellite (SPS) to generate revenue to pay for space colonization. As the enormity of the technical and financial challenges to achieve space colonization research interest began to wane particularly with realization that the U.S. having reached the Moon before the USSR, was no longer driven to achieve more as the Nation faced the Oil Embargo and growing domestic concerns. Currently, the state of technology development and knowledge of lunar resources has created conditions where a lunar centric model of space development appears increasingly feasible offering the possibility of not only more rapid development in outer space, but also to impact long term sustainable development on Earth by reducing the need for terrestrial resources for industrial development in Earth orbits, cislunar space and the Moon. In effect, lunar industrial development can contribute increasingly to achieve sustainable development on Earth. This, however will raise challenges to address governance of space traffic and resource access and use on the Moon as unlike 1974 many countries are developing the capacity to reach and operate in cislunar space and on the Moon.