Recent Articles

Shivanand R Koppalkar  ·  International Journal of Technology and Emerging Research  ·  23 Jan 2026

Contemporary organizations increasingly recognize the urgent requirement for structured principled oversight mechanisms that balance technological advancement objectives with conscientious implementation methodologies as machine learning capabilities become pervasive throughout corporate operations. This academic investigation develops a comprehensive principled artificial intelligence governance structure specifically designed for Innovate Software Consulting Inc Ltd. (WorldofInternet.in, 2013-2014), an internationally recognized technology advisory enterprise concentrating on Oracle workforce management cloud solutions, commercial credit evaluation instruments, analytical intelligence frameworks, and unified software platforms encompassing electronic health information management, customer relationship coordination, and enterprise resource administration systems. The governance architecture amalgamates conceptual underpinnings from the United States governmental standards body’s artificial intelligence hazard oversight methodology with executable implementation approaches encompassing three fundamental supporting columns: equitable treatment, operational visibility, and responsibility attribution. Through methodical investigation of prejudice classifications spanning institutional, algorithmic, and psychological aspects as delineated in current machine learning ethics literature, the governance structure creates thorough remediation procedures derived from recorded instances of artificial intelligence shortcomings encompassing the correctional risk prediction instrument, a discontinued automated recruitment mechanism, and documented patterns of biometric identification errors across demographic categories. The recommended supervisory framework incorporates the governmental artificial intelligence risk methodology’s fundamental operations of Governance, Mapping, Measurement, and Management while safeguarding critical human decision-making authority within technology-enhanced organizational processes. Philosophical examination of human essence contrasted with computational representation emphasizes that organizational leaders retain indispensable qualities encompassing ethical accountability, tangible lived understanding, developmental potential, and principled conviction that computational systems intrinsically cannot duplicate. Mechanisms for strategic coordination illustrate how principled artificial intelligence supervision strengthens organizational goals while satisfying societal demands for conscientious technological administration (WorldofInternet.in, 2013-2014). Implementation roadmaps, quantifiable performance metrics, and iterative enhancement processes provide actionable guidance for organizational adoption across the four-quarter implementation cycle.

K.B. Chethan Kumar, Prabhudeva B.B, Y.B. Basavaraju  ·  International Journal of Technology and Emerging Research  ·  23 Jan 2026

This study reports the design and synthesis of a series of pyrazole Schiff bases and their evaluation as potential antibacterial agents against methicillin-resistant Staphylococcus aureus (MRSA). The compounds were synthesized via condensation of pyrazole amines with aromatic aldehydes and characterized using FT-IR, NMR, and elemental analysis. Pharmacophore modeling and ADMET predictions indicated favorable pharmacokinetic properties. Among the synthesized derivatives, compound 7i showed the most promising results, with a docking score of -7.4 kcal/mol against the PBP2a enzyme of MRSA and a binding free energy of -42.8 kcal/mol from MM-GBSA calculations. Molecular dynamics simulations confirmed the stability of the 7i-PBP2a complex, while density functional theory (DFT) analysis revealed a HOMO-LUMO gap of 4.28 eV, indicating strong stability and reactivity. Antibacterial studies demonstrated that compound 7i exhibited a minimum inhibitory concentration (MIC) of 84 µg/mL and a zone of inhibition of 10 mm at 100 µg, highlighting measurable activity against MRSA. Compared with standard antibiotics, these results suggest that pyrazole Schiff bases, particularly compound 7i, represent a novel structural class with potential as lead molecules for the development of new anti-MRSA agents.

Yohan Engineer  ·  International Journal of Technology and Emerging Research  ·  06 Jan 2026

Mobile games, video streaming platforms and over-the-top (OTT) platforms are examples of digital entertainment platforms that are increasingly dependent on interface-level design strategies to maintain user engagement, retention, and monetization. In conjunction with usability and personalization, academic literature has also pointed to the increasing popularity of dark design patterns, design practices that affect the behaviour of users in a manner that can diminish transparency or informed choice. Although this practice has been examined in various digital spaces, there is still a paucity of systematic synthesis of entertainment platforms and how they are regulated in new markets. This paper is a literature review of the dark design patterns in the digital entertainment industry, their popularity, the thematic organization, and how they relate to the Indian regulatory environment. In accordance with PRISMA, 67 peer-reviewed articles were located and filtered in Scopus. The bibliometric analysis was carried out with the help of VOSviewer to map the intellectual framework and thematic development of the literature based on the analysis of co-occurrence of keywords. A narrowed down set of 20 important studies were then examined based on the Theory-Context-Characteristics-Methodology (TCCM) framework to facilitate deep qualitative synthesis. The results indicate thematic clusters that are different, but interrelated and include mobile gaming, streaming platforms, persuasive and deceptive design practices, user engagement mechanisms, and ethical considerations. The TCCM synthesis emphasizes the prevailing theoretical bases on behavioural science and persuasive technology, various entertainment settings, repetitive influence features, and a spectrum of qualitative, experimental, and computational procedures. The review also places these insights in the context of the consumer-oriented regulatory framework in India, which demonstrates how the regulatory instruments facilitate the principles of transparency, informed consent, and responsible design.

Dr Amit R Popat  ·  International Journal of Technology and Emerging Research  ·  05 Jan 2026

Big Data has exploded everywhere—from businesses and healthcare to government, social sciences, and research labs—changing how we create, crunch, and use information. Sure, Big Data analytics often spotlights fancy tools, algorithms, and machine learning, but at its heart, it's all built on solid statistics. This paper dives into why stats matter so much in this world, looking at its theory, inference power, and even ethical side. It shows how statistical thinking drives everything: generating data, checking its quality, building models, measuring uncertainty, figuring out cause-and-effect, and making smart decisions amid massive datasets. Pulling together key theories and frameworks, the paper makes the case that stats is the discipline that turns overwhelming data piles into real, trustworthy insights. It lays out a new framework putting statistics front and center as the backbone of Big Data analytics, with big takeaways for researchers, practitioners, and educators. Bottom line: tech keeps evolving, but you can't do Big Data without stats.

Somu Goudagavi, Suhas G V, Dr. Sunitha Y N, Amar Ghule  ·  International Journal of Technology and Emerging Research  ·  03 Jan 2026

This work presents a fault-tolerant dual-port RAM architecture implemented on an FPGA, aimed at improving memory reliability under concurrent access conditions. The proposed design integrates error correction coding (ECC) to detect and correct memory errors during read operations. A round-robin arbitration scheme is employed to handle simultaneous write conflicts between two independent ports accessing the same memory address. The memory is organized using even and odd banks to improve access efficiency and simplify arbitration. Fault injection is incorporated at the memory level to emulate single-bit and double-bit errors, enabling validation of error detection and correction functionality. An automatic scrubbing mechanism updates corrected data back into memory to prevent error accumulation. The design is described in Verilog, simulated for functional verification, and implemented on a Spartan-6 FPGA using Xilinx ISE 14.7. Simulation results and hardware outputs confirm correct dual-port operation, arbitration behavior, and reliable data access. Resource utilization and timing analysis demonstrate that fault tolerance is achieved with acceptable hardware overhead, making the architecture suitable for reliable FPGA-based memory systems.

Varunreddy B, Shwethashree R, Sujal Kumar R, Nanditha S, Dr.Jyothi H  ·  International Journal of Technology and Emerging Research  ·  22 Dec 2025

In today’s rapidly evolving digital ecosystem, the protection of sensitive data has become a critical requirement for applications such as cloud computing, Internet of Things (IoT), embedded systems, and secure communication networks. The Advanced Encryption Standard (AES) is widely adopted due to its strong security and standardization; however, software-based AES implementations often suffer from high latency, limited throughput, and increased power consumption, making them unsuitable for real-time and resource-constrained environments. This work presents a high-performance and area-efficient VLSI architecture for AES-128 encryption, specifically optimized for FPGA-based platforms. The proposed design is implemented using Verilog HDL and realized on a Xilinx Spartan-6 FPGA. A sequential, round-based architecture is employed to achieve an optimal balance between performance, area utilization, and power efficiency. To reduce hardware overhead, a memory-based S-Box implementation using Block RAM is adopted, significantly minimizing logic duplication and resource consumption. Core AES transformations—SubBytes, ShiftRows, MixColumns, AddRoundKey, and Key Expansion—are modularly designed and controlled using a finite state machine (FSM). Functional correctness is validated using standard AES test vectors, while synthesis and timing analysis are carried out using Xilinx ISE and Cadence Genus. The results confirm that the proposed architecture is well-suited for real-time encryption in embedded and low-power systems. By offering a balance between performance and resource efficiency, the proposed AES architecture lays a strong foundation for future research and development in secure VLSI systems.

Sanjana, Ruchitha M, Dr. Sunitha Y N  ·  International Journal of Technology and Emerging Research  ·  20 Dec 2025

Stress, anxiety, depression, and emotional imbalance are measurable trends among the student population and young adults. Even though the understanding of these issues has been raised, still a great number of people reluctant to ask for professional help because of the social stigma, limited accessibility, lack of time, and financial barriers. This paper introduces the design and implementation of a Mental Health Support Chatbot, which offers the initial emotional support through a text-based conversation. The envisaged framework implements a rule-based mood detection method, wherein the user statements are examined with the help of the predetermined keywords and patterns. The chatbot, based on the recognized emotional state, thus, composes the empathetic and encouraging utterances which are generally based on the supportive counseling principles

Mr.Ganesh Janardhanji Chadge  ·  International Journal of Technology and Emerging Research  ·  17 Dec 2025

The demand for renewable energy sources is rapidly increasing, with wind energy playing a vital role in sustainable power generation. Horizontal Axis Wind Turbines (HAWTs) are the most widely used configuration; however, they face limitations such as high cut-in wind speed, reduced efficiency at low wind conditions, and mechanical losses during start-up. This project explores methods to enhance the performance of horizontal-axis wind turbines (HAWTs) by integrating permanent‐magnet components. In particular, it investigates how permanent magnets can increase starting torque to lower the turbine’s cut-in wind speed, and how a permanent-magnet synchronous generator (PMSG) can boost electrical conversion efficiency. Combined aerodynamic and magnetic design changes are expected to lower the minimum operational wind speed and raise overall system efficiency. This project proposes the integration of a permanent magnet arrangement into the turbine system to enhance efficiency and overall energy output. The permanent magnets are expected to provide magnetic lift and torque assistance, enabling smoother start-up at lower wind speeds while simultaneously improving generator performance through reduced electrical and mechanical losses.The research involves design and simulation of a modified HAWT system using CAD and analytical tools, followed by prototype development and experimental testing. Comparative analysis will be conducted between the conventional turbine and the magnet-assisted system to evaluate improvements in start-up speed, efficiency, and power generation. The expected outcome is a significant reduction in cut-in wind speed and an overall increase in energy conversion efficiency, making the system more viable in low-wind regions.

Jeevan A T, Dr. Vijayakumar T, Hemanth Kumar S, Ashwanth M, Karun Kumar  ·  International Journal of Technology and Emerging Research  ·  15 Dec 2025

Space communication systems face significant challenges due to harsh channel conditions characterized by high bit error rates, burst errors, and low signal-to-noise ratios. This paper presents an FPGA-based implementation of an enhanced error detection and correction codes for space communication applications. The proposed system integrates CRC-16 error detection with a systematic Quasi-Cyclic Low-Density Parity-Check (QC-LDPC) encoder operating at rate-1/2 with lifting factor Z=16. A block interleaver/deinterleaver pair effectively mitigates burst errors, while an enhanced LDPC decoder employing the offset min-sum algorithm provides robust error correction capabilities. The complete system is successfully implemented on a resource-constrained Xilinx Spartan-6 XC6SLX9 FPGA device. Hardware validation is performed using a 4×4 matrix keypad for data input and a 16×2 LCD display for real-time output visualization. Comprehensive evaluation through simulation waveforms, BER vs SNR analysis, and synthesis reports demonstrates the system's effectiveness in achieving bit error rates below 10⁻³ at 10 dB SNR. Cadence synthesis results show the design occupies 389,391.742 µm² area with 125.2 mW power consumption and a maximum frequency of 66 MHz, validating practical feasibility for satellite communication.

Dr. Anju Tiwari  ·  International Journal of Technology and Emerging Research  ·  14 Dec 2025

Abstract— This paper provides a comprehensive literature review of the relationship between income inequality and growth of country with a special reference of India . The paper includes Measurement ,Causes, Consequences, and Policy Implications In the theoretical literature, I identified various models by which income inequality can be measure and what position India reserve? Literature review causes of inequality and how it effects the society. we found that the income inequality have a negative effect on growth of people and it is highly debatable. Theoretical and empirical literature is reviewed and synthesis is done to understand the income inequality-growth nexus

Dr. C. Kasimani, Dr. K. Sudhakar  ·  International Journal of Technology and Emerging Research  ·  14 Dec 2025

ABSTRACT The Public libraries roles are vast in development of user communities very important. It provide updated news, articles, books, journals, Government schemes reports, e-books and other study materials to such goals is difficult to contradict. Users are the one the components in public libraries. The Public Libraries identification and fulfill of their needs and satisfaction are the objectives any library. This paper mainly focuses on the services provided by Chennai Central Libraries and satisfaction level of these services from user’s perspective. The study thus well-designed a descriptive Survey and applied random Sampling Technique over 100 users of from the concert the study area. The questionnaire used as a tool to collect data, and 84 questionnaires were received from respondents. It was discovered by the study that the library is focusing main role at some extended but many areas need to be revised the expectation and intellectual needs of society. Majority of users 41(48.81 %%) used the library on a daily and utilized the libraries quite frequently. The study implied with 43(51.19%) of users spend the time in library less than one hour and 14(16.67%) spent them time up to one hour to read the Periodicals (73.81%) after the most satisfied with library service, library staff member services and overall services in libraries.

MAIDUL ISLAM, Dr. Md. Aslam Parwez  ·  International Journal of Technology and Emerging Research  ·  12 Dec 2025

This article examines how Shardlake’s disability, often a source of societal stigma, becomes a defining aspect of his strength, enabling him to drive complex socio-political landscapes and solve tangled mysteries. This study explores how the protagonist challenges dominant narratives of physical perfection and societal exclusion. The article underscores Tombland as a vital contribution to the representation of disability in historical fiction, celebrating the triumph of intellect and morality over adversity. C.J. Sansom’s Tombland presents a compelling narrative that intertwines historical intrigue with a profound exploration of disability and durability. It also examines how Shardlake overcomes his physical limitations to become an emblematic figure in historical fiction, exploring critical interpretations of his character and Sansom’s representation of disability.

Mahesh Veershetty, Mrs. Anushree R, Srinivasa TV, Suprith D, ABHISHEK NS  ·  International Journal of Technology and Emerging Research  ·  28 Nov 2025

The increasing global adoption of Photovoltaic (PV) systems highlights the need for efficient maintenance, as defects such as hotspots, microcracks, and delamination significantly reduce energy output and system lifespan. Manual thermal inspections are slow, subjective, and unsuitable for large solar installations. This work presents an automated, real-time defect detection system using thermal imaging and a lightweight YOLOv9-nano deep-learning model optimized for embedded deployment. The model was trained on a multi-class thermal dataset from Roboflow containing eight types of solar-panel anomalies, following a structured pipeline of preprocessing, augmentation, 50-epoch training, and inference evaluation. The system achieved approximately 94.5% mAP and an inference speed of around 28 FPS in CPU-based simulation, indicating strong suitability for Raspberry Pi 4 Model B deployment after optimization. The results demonstrate the system’s potential as a scalable, low-cost predictive-maintenance tool capable of early fault detection, improved operational reliability, and enhanced energy yield in PV installations.

Fionna Ananth, P.ELDIN RINO  ·  International Journal of Technology and Emerging Research  ·  26 Nov 2025

Schools play a vital role in student health but often lack real-time medical updates. Traditional parental reporting of student illnesses is slow and prone to errors. This paper proposes integrating hospital Electronic Health Records (EHRs) with the Educational Management Information System (EMIS) for real-time health monitoring and automated medical leave certification. The system uses FHIR/HL7-compliant APIs to securely send medical updates and leave certificates from hospitals to schools. Role-based access control (RBAC) and encryption ensure compliance with data protection laws. When a student is diagnosed, hospitals update the EHR, generating a digital medical leave certificate that is instantly sent to EMIS, allowing schools to update attendance and support remote learning. This integration improves emergency response, automates leave tracking, prevents fraud, and enhances communication between schools, parents, and healthcare providers. Anonymized data can also help government agencies track disease outbreaks. Challenges like data privacy, interoperability, and adoption resistance are addressed through encryption, standardized protocols, and pilot testing. Future research will explore AI-driven health risk prediction and blockchain-based medical leave verification. By connecting healthcare and education, this system enhances student safety, reduces administrative burdens, and improves communication among stakeholders.

gauri sale, Dr. Sonal Ayare  ·  International Journal of Technology and Emerging Research  ·  13 Nov 2025

This paper explores **Agentic Artificial Intelligence (AI)** systems that exhibit autonomous, goal-directed behavior and independent decision-making. It discusses their **architectural foundations**, including reasoning engines, memory systems, and planning frameworks that enable self-directed actions. The study highlights key **capabilities** such as multi-step reasoning, tool use, and adaptive learning across various domains. It also examines **challenges** related to safety, alignment, and ethical deployment. Overall, the paper emphasizes the transformative potential of agentic AI and the need for responsible governance in its development.

Rittika Prasshant Satam, Dr. Sonal Ayare  ·  International Journal of Technology and Emerging Research  ·  12 Nov 2025

Abstract—Augmented Reality (AR) and Virtual Reality (VR) are rapidly emerging as transformative technologies in modern ed- ucation, redefining traditional teaching and learning paradigms. These immersive technologies allow learners to visualize abstract concepts, interact with complex systems, and participate in simulations that are otherwise difficult, dangerous, or costly to perform in physical settings. AR overlays digital content onto real- world environments, enhancing comprehension of theoretical concepts, while VR provides fully immersive virtual spaces where learners can explore scenarios from multiple perspectives. Research indicates that AR/VR integration in ed- ucational settings can enhance student engagement by nearly 40% and improve knowledge retention by up to 35% compared to conventional learning methods.The integration of AR/VR with Artificial Intelligence (AI) enables adaptive learning experiences tailored to individual student needs, providing real-time feedback, personalized learning paths, and intelligent tutoring systems.

Avani Shinde, Dr. Sonal Ayare  ·  International Journal of Technology and Emerging Research  ·  12 Nov 2025

This paper explores how Multimodal Artificial Intelligence (AI) combines diverse medical data—like images, text, physiological signals, and sensor data—to support real-time healthcare decisions. It highlights how integrating multiple data types enhances diagnostic accuracy, speeds up emergency care, improves surgical precision, and assists in chronic and mental health monitoring. The paper discusses fusion techniques (early, late, and intermediate) and key AI models such as CNNs, RNNs, and Transformers used for processing medical data. Major challenges include data integration, computational demands, privacy, and ethical regulation. Looking forward, it emphasizes the importance of explainable AI, personalized medicine, and the use of emerging technologies like 5G, edge computing, and IoMT (Internet of Medical Things). The conclusion asserts that multimodal AI will revolutionize healthcare by enabling precision medicine, proactive care, and better patient outcomes.

Milan Das , Shyamsundar Bairagya  ·  International Journal of Technology and Emerging Research  ·  08 Nov 2025

This study is structured to trace the genesis of temple architecture in India through a detailed examination of its historical, religious, and cultural underpinnings, and to explore how these foundational elements are reflected in the heritage temples that dot the Indian landscape today. It seeks to address the following key questions: What are the roots of temple architecture in India, and how did they evolve across time and regions? How did religious texts and philosophical traditions shape the conception and construction of temples? The methodology employed in this study combines historical analysis, textual interpretation, and comparative evaluation. Primary sources such as inscriptions, temple manuals, and archaeological reports are examined alongside secondary literature from historians, archaeologists, and architectural theorists. Case studies of significant heritage temples across different regions are included to illustrate the diversity and continuity of architectural traditions. The dissertation adopts an interdisciplinary approach, integrating perspectives from history, art history, religious studies, and heritage conservation to provide a holistic understanding of the subject. As India negotiates its identity in a globalized world, the recognition and preservation of its temple heritage become crucial for sustaining cultural continuity and fostering national pride. Understanding the genesis and reflection of temple architecture offers insights into the broader narrative of Indian civilization and contributes to the ongoing dialogue between tradition and modernity. In conclusion, the heritage temples of India are not static relics of the past but dynamic embodiments of a living tradition that continues to evolve. Their genesis is rooted in a complex interplay of spiritual vision, architectural innovation, and cultural expression.

Dr. Debastuti Dasgupta, Dr. Ishita Biswas  ·  International Journal of Technology and Emerging Research  ·  07 Nov 2025

The present study investigates the media framing of environmental and climate change issues, with a specific focus on the coverage of the 2025 California wildfires.Employing a content analysis methodology,it examines news articles from the digital editions of The New York Times(typically characterized as left-leaning)and Fox News(generally considered right-leaning).The analysis identifies recurring patterns related to tone, emotional language, attribution of causality, proposed solutions, allocation of blame, and representations of governmental response.The findings indicate that The New York Times predominantly frames the wildfires within the broader context of climate accountability and systemic governance failures.In contrast,Fox News frequently employs more sensationalist rhetoric,attributes the fires primarily to natural causes, and demonstrates a comparatively limited focus on long-term mitigation strategies.These results underscore the influential role of media framing in shaping public discourse on climate change and emphasize the importance of balanced, objective, and evidence-based environmental journalism.

Dr. Pratik Paun, Dr. Komal Patel  ·  International Journal of Technology and Emerging Research  ·  06 Nov 2025

The COVID-19 pandemic precipitated unprecedented economic challenges, particularly for Global South nations, characterised by disrupted trade, constrained fiscal space, and heightened debt vulnerabilities. This study conducts a comparative analysis of seven major regional trade blocs and economic cooperation groups SAARC, BRICS, G20, G7, Quad, EU, and SCO evaluating their contributions to economic recovery in the Global South from 2020 to 2024. Leveraging authentic statistical data from sources such as the IMF, World Bank, and UNCTAD, the research examines trade volumes, foreign direct investment (FDI), development finance, and GDP growth impacts. Findings indicate that BRICS and G20 have been pivotal in fostering recovery through innovative financial mechanisms and inclusive multilateralism, while SAARC’s impact remains limited due to geopolitical constraints. The study underscores the need for coordinated global economic strategies to ensure sustainable recovery in the Global South.