Volume 2, Issue 1, January-June, 2025
Enhancing Human-Computer Interaction through Brain-Computer Interfaces
Open Access | Original Article | 14 May 2025 | Article Number: 251010
Abstract
HCI is transformed by BCI interactions, breaking previous boundaries for the results to go directly into the device and creating a direct neuron-to-computer communication. The Work is centered on the improvement in HCI made possible by BCIs, notably greater simplicity and ease for those who have physical limitations. It calls into question present BCI systems, develops them into working interactive devices, tackles signal noise and user adaptability, and flagships future concepts such as neural decoding, AI, and ethical considerations. Neuroscience, AI, and user interface engineering together are design indicators for a smooth, cognition-enabling interactive era. Read more
View PDFBlock Chain Based Identify Management for Secure & Decentralised Web Application
Open Access | Original Article | 08 May 2025 | Article Number: 251009
Abstract
The research presents a blockchain-based identity management system for protecting decentralized web applications by operating through decentralized processes. Through its permissioned Ethereum network The-system enables automatic operations for identity lifecycle management to register authenticate authorize and revoke users while maintaining privacy of user data (anonymization and encryption of user data). Users receive hashed credentials which the blockchain ledger retains forever as secure storage alongside complete PII data privacy. Smart contracts determine access through comparison between incoming requests and permanent role statements stored on the blockchain network. Large attribute storage operates by connecting to Inter Planetary File System (IPFS) gateway servers that store blockchain reference data through content hash keys. Users accomplish authentication via a zero-knowledge proof module which enables attribute disclosure under zk‑SNARK’s parameters to reduce identity exposure. The consensus model deployed in the system supports execution of more than 5000 TPS transactions by completing them within sub-second periods. Performance evaluation confirms scalability, reliability, and real-time access control, demonstrating its viability for modern web applications requiring high throughput and low-latency operations. Security testing establishes that the network withstands Sybil attacks together with replay and man-in-the-middle attacks and privacy evaluation demonstrates unauthorized entities have no ability to derive user profiles. The evaluated benchmark results demonstrate that the framework's performance potential by testing 50 nodes in a test network locally. Research indicates that blockchain identity management develops an resistant system which has enormous potential capacity alongside privacy protection capabilities superior to conventional centralized identity management systems. Read more
View PDFGreen Cloud Computing: Strategies for Carbon-Neutral Data Centres
Open Access | Original Article | 07 May 2025 | Article Number: 251008
Abstract
The untamed growth of cloud services generated substantial data center demands that caused major concerns about electricity consumption leading to greenhouse gas emissions. An evaluation takes place to identify various software solutions combined with operational methods that allow large-scale cloud facilities to achieve carbon neutrality objectives. The research investigates the effectiveness of power distribution units equipped with advanced liquid cooling systems integrated with modular rectifier-to-inverter configurations for obtaining zero-level PUE metrics. Systems optimizing resource management through DVFS as well as heterogeneous CPU–GPU scheduling and containerized microservices orchestration achieve maximum efficient computation energy usage. Portable Photovoltaic storage and wind power forecasting systems need to operate with intelligent demand-management protocols that shift time-sensitive operations when renewable resource production exceeds facility requirements. The article employs blockchain‑verified renewable‑energy credit approaches to function as carbon-offset methods while providing independent assessment about direct air capture at installation sites. The last portion shows automated virtual machine relocation systems which track carbon intensities by following changes in regional power emission rate levels. The prototype analysis proves that at least 45% of carbon emissions from cloud infrastructure deployment can decrease while maintaining existing Service Level Agreements for sustainable cloud infrastructure construction. Read more
View PDFDevelopment and Assessment of an Adaptive Difficulty Snake Game in Python
Open Access | Original Article | 07 May 2025 | Article Number: 251007
Abstract
Adaptive difficulty systems have been widely explored in game design to maintain player engagement by dynamically adjusting challenge levels based on player performance. Prior work has focused primarily on complex or commercial games, often using machine learning or rule-based systems to tailor game play experiences. However, limited research exists on implementing such systems in simple, classic games like Snake, particularly within lightweight, educational environments using accessible tools such as Python. This paper presents the design and evaluation of a Python-based Snake game featuring a real time adaptive difficulty mechanism. Our goal is to investigate how adaptive difficulty affects user engagement and performance in a familiar, minimalist gaming context. We contribute a modular framework for implementing difficulty scaling based on player input and behavior, and we assess its impact through user testing and behavioral analysis. The results aim to inform future educational and casual game designs where engagement is critical and resources are constrained. Read more
View PDFDesign and Optimization of Heat Exchanger Systems for Industrial Applications
Open Access | Original Article | 02 May 2025 | Article Number: 251006
Abstract
The industrial processes of power generation alongside chemical manufacturing along with refrigeration and HVAC systems depend fundamentally on heat exchangers. The design quality of heat exchangers enables superior thermal performance, together with reduced operational expenses. The research analyzes the design approach for Shell & Tube Heat Exchangers (STHE) since these units remain popular because of their long service life and flexible application options. The paper presents an approach for practical design methodology which focuses on industries lacking sophisticated simulation capabilities. A basic approach for thermodynamic analysis and parameter estimation leads to spreadsheet-based manual optimizations for designs. The optimized heat exchanger design achieved a 9% increase in heat transfer efficiency and approximately 12% reduction in material usage. The main goal is to decrease energy waste and optimize heat transfer operations together with lowering production materials and expenses. A study demonstrates this method's effectiveness because it boosts efficiency and decreases surface area requirements along with design time requirements. Basic tools enable meaningful improvements to be carried out in heat exchanger systems. Read more
View PDFStudy of Seismic Behaviour of Reinforced Concrete Shear Wall
Open Access | Original Article | 02 May 2025 | Article Number: 251005
Abstract
The study delves into reinforced concrete (RC) shear walls which function as the main elements to resist earthquake lateral forces. The research analyzes ductility performance features as well as stiffness and energy dissipation capacity while investigating failure modes when exposed to various seismic conditions. The assessment of crucial parameters depends on both nonlinear finite element analysis and experimental study reviews to determine wall dimension ratios and reinforcement approaches and axial force limits and boundary elements that deliver confinement capabilities. Examining real seismic responses through simulation models produces detailed duplicates for analyzing the combination of hysteresis characteristics along with crack propagation patterns and load-displacement performance patterns. Wall confinement procedures that create suitable axial loads will enhance both ductility performance and energy dissipation aptitude. Improving safety during earthquake conditions in high-risk areas requires designers to focus on complete planning details for designing reinforced concrete shear walls. Read more
View PDFApplication of renewable energy based devices in healthcare sector
Open Access | Original Article | 22 March 2025 | Article Number: 251004
Abstract
Global energy consumption is exceeding available generation capacity at an alarming rate. Energy security and reliability must be increased and vigorous research into alternative energy sources is required to efficiently fulfill future energy demands. The second most energy-intensive building type in the commercial sector is healthcare facilities, which use a lot of energy. This review provides a comprehensive overview of the current advancements and applications of renewable energy sources in healthcare systems. The study explores various innovative devices powered by renewable energy, including triboelectric nanogenerators, biofuel cells, solar-powered medical equipment, and wearable technologies. Key applications such as drug delivery systems, implantable medical devices, solar autoclaves, heart and respiratory monitoring systems, glucometers, and solar microscopes are discussed in detail. The review highlights the advantages of these innovations in reducing carbon footprint and improving medical efficiency. Read more
View PDFDebunking AI and Healthcare: The Connection
Open Access | Original Article | 28 February 2025 | Article Number: 251003
Abstract
Artificial intelligence has transformed the healthcare industry so much in terms of diagnosis, treatment, and patient care over the years. This paper outlines how AI was introduced into the healthcare industry from its humble beginnings with early tools that date back to the 20th century like decision support systems and various diagnostic programs. Recently, AI has affected the precision medicine area significantly with deep learning models, used for accurate analysis of medical images. AI also improved personalized treatments, particularly cancer therapies and drug development. Systems powered by AI also assist recovering patients. This paper explores how AI has evolved and its growing role in healthcare today. Read more
View PDFAmendment procedure in sintered bush Manufacturing industry by the utility of Six Sigma DMAIC: A case study
Open Access | Original Article | 31 January 2025 | Article Number: 251002
Abstract
Six Sigma DMAIC is one such disciplined route that helps us focus on improving the world’s best merchandise, processes as well as services. “Sigma” is used to compute how a great deal in a specific manner departs from perfection. Sigma best levels additionally assist to set an impartial for the enhancement of the best of technique with the assist of DMAIC manner. A great execution of DMAIC mode confirms us to getting rid of the motives for fault by means with respect to outcomes of the manner, that’s critically critical to the consumers. By means of the use of DMAIC manner, the dissimilarity in the product or technology, loss of cloth and system errors can be minimized. DMAIC cycle is an essential part of Six Sigma. Multiculturalism, the evolution of the era, and enhancement in the call for of the calumet have modified the manner of doing commercial corporation of the groups great is the most vital client-pushed preference element in the desire among participating outcomes and solutions reducing the dissimilarity in outcome dimensions plays a critical pile is the improvement. This paper includes the Six Sigma DMAIC method modified into used to lower the method version of length of bush for reinforcing product exquisite. The outline section of DMAIC approach begins via manner of problem detection through the voice of internal and outside clients. The later level represents calculating the statistics of bush parts of existing ways. Read more
View PDFDesign and Hardware Chip Implementation of Wireless Network Topology for Smart Grid
Open Access | Original Article | 08 January 2025 | Article Number: 251001
Abstract
This study mainly examines the establishment of wireless networks using hardware chips that stand a chance of improving the communication of smart grid by providing high reliability, low latency as well as data confidentiality. In the suggested setup, a hierarchical architecture together with central gateway, cluster heads and sensor nodes, is exploited to allow data aggregation and thus reduce transmission overhead. Among IoT devices, wireless technologies like Zigbee and LoRa are used to enhance communication quality, thanks to the fault-tolerant technique that makes the system more reliable. By studying the theoretical groundwork and the necessary hardware needed in the smart grid communication, the research is intended to identify the most significant obstacles that make current energy transfer networks relatively ineffective. Read more
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