Advanced Research & Development Journal
type: channel
description: About the Advanced Research & Development Journal The Advanced Research & Development Journal is a peer-reviewed, national-level scholarly journal committed to publishing high-quality research in science, engineering, technology, and allied disciplines. The journal serves as a platform for Indian researchers, academicians, industry professionals, and students to disseminate innovative ideas, experimental results, case studies, and technological advancements that contribute to India’s academic and industrial growth. ARD Journal emphasizes original research conducted within India and encourages submissions that address real-world challenges, emerging technologies, and practical applications relevant to the national research ecosystem. A structured editorial and peer-review process ensures academic quality, transparency, and integrity. Aim To promote and disseminate national-level research in science, engineering, and technology. To encourage innovation, applied research, and problem-solving approaches. To provide a credible and constructive platform for Indian researchers. To strengthen research culture through multidisciplinary and interdisciplinary studies. To foster collaboration among scholars, educators, and research institutions across India. Scope The scope of the Advanced Research & Development Journal includes, but is not limited to: Engineering & Technology Computer Science & Information Technology Electronics, Communication & Electrical Engineering Mechanical, Civil & Industrial Engineering Artificial Intelligence, Machine Learning & Data Science Internet of Things (IoT), Embedded Systems & Robotics Renewable Energy & Smart Technologies Science & Applied Sciences Physics, Chemistry & Mathematics Environmental Science & Sustainable Development Biotechnology, Life Sciences & Agriculture Management & Humanities (where applicable) Business Management, Commerce & Economics Education, Social Sciences & Interdisciplinary Studies Article Types Research Articles Rev…
publisher: Novara Publishers
language: en
publication name: Advanced Research & Development Journal
issn: 3139-1281
copyright: All articles published in the Journal of Engineering Excellence (JEE) are licensed under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0). Under this license, authors retain full copyright of their work while granting permission for anyone to read, download, copy, distribute, print, search, or link to the full texts of the articles, or use them for any other lawful purpose, without asking prior permission from the publisher or author — provided that the original work is properly cited. This open-access license ensures maximum dissemination and impact of the published research by allowing free and immediate access to scholarly work. For more details, please refer to the official license page: ???? https://creativecommons.org/licenses/by/4.0/
items: A STUDY ON IMPACT OF FINANCIALTECHNOLOGY ON FINANCIAL PERFORMANCE OF CORPORATES AT JINDAL STEEL AND POWER LTD
items: A STUDY ON LUXURY CAR MARKETING STRATEGIES WITH REFERENCE TO MERCEDES BENZ
items: A STUDY ON PERSONALIZATION IN E-COMMERCE BALANCING CUSTOMER EXPECTATIONS AND DATA PRIVACY AT BIG BASKET
items: A STUDY ON OPTIONS TRADING STRATEGIES FOR RETAIL INVESTORS WITH REFERENCE TO ICICI SECURITIES
items: A STUDY ON MINDFULNESS PRACTICES FOR EMPLOYEE RESILIENCE AT KIMS HOSPITALS
items: A STUDY ON GROWTH OF DIGITAL WEALTH PLATFORMS IN INDIA AT ZERODHA
items: A STUDY ON HYBRID WORK MODELS AND EMPLOYEE WELLBEING AT GREENKO GROUP
items: A STUDY ON VALUATION OF STARTUPS USING REAL OPTIONS AT ZOMATO
items: A STUDY ON PAY FOR PERFORMANCE MODELS AND EMPLOYEE MOTIVATION AT JRG SECURITIES
items: A STUDY ON CASH FLOW ANALYSIS AS A BUSINESS TOOL AT BRITANNIA INDUSTRIES
items: IOT-ENABLED REAL-TIME FOOD MONITORING USINGBLUETOOTH LOW ENERGY SENSORS
items: DEVELOPMENT OF AN ANDROID-BASED INTELLIGENTCONTROL SYSTEM FOR DC MOTOR APPLICATIONS
items: AN INTELLIGENT AND SECURE SPAM CLASSIFICATIONFRAMEWORK BASED ON SUPERVISED LEARNING
items: BLOCKCHAIN-ENABLED PATIENT-CENTEREDHEALTHCARE DATA MANAGEMENT SYSTEM
items: ENHANCING DATA SECURITY THROUGH A DUALINTEGRATION OF BLOCKCHAIN TECHNOLOGY ANDARTIFICIAL INTELLIGENCE
items: AN EFFICIENT SNUBBER-BASED SOFT-SWITCHING STRATEGYFOR BIDIRECTIONAL ISOLATED FULL-BRIDGE CONVERTERS
items: EFFICIENT IMAGE RETRIEVAL USING COLOR AND TEXTURE FEATURES
items: INNOVATIVE POWER FLOW CONTROL USING INTERLINE POWER FLOW CONTROLLERS

A STUDY ON IMPACT OF FINANCIALTECHNOLOGY ON FINANCIAL PERFORMANCE OF CORPORATES AT JINDAL STEEL AND POWER LTD
type: item
description: The research findings indicated that Jindal Steel and Power Ltd. experienced enhanced financial performance following the implementation of financial technology (FinTech). Digital technology has enabled the organization to boost its profitability and streamline its operations. This has been accomplished through the implementation of online payment tools, automated treasury systems, data-driven financial management, and other methods. Streamlining the management of working capital, reducing transaction costs, and enhancing liquidity are all examples of how the implementation of these innovative ideas has contributed to the enhancement of the company's operational efficiency. A competitive advantage has been obtained by the business as a result of the utilization of digital technology, which has facilitated the acceleration of financial data and enhanced decision-making. FinTech has traditionally been of assistance to the company in terms of growth, resilience, and competitiveness in the market. This is the case notwithstanding certain concerns, such as increasing operating expenses and dangers to cyber security.
subject: Articles
  topic: section
subject: FinTech
  topic: keywords
subject: Corporate Performance
  topic: keywords
subject: Digital Finance
  topic: keywords
subject: Financial Efficiency
  topic: keywords
subject: Technology Adoption
  topic: keywords
creator: Dr. AITHA CHERALU
creator: THUMMALAPALLY SNEHA
rights: Copyright (c) 2026 Advanced Research & Development Journal https://creativecommons.org/licenses/by-nc-nd/4.0
date: 2026-04-17
publication date: 2026-04-17

A STUDY ON LUXURY CAR MARKETING STRATEGIES WITH REFERENCE TO MERCEDES BENZ
type: item
description: The luxury automotive sector is characterized by intense competition, evolving consumer demands, and increasingly sophisticated technological integration. When it comes to high-end automobiles, Mercedes-Benz is unrivaled, and the company's marketing strategies are astute, appealing to a diverse audience without lowering the bar for the brand. Digital transformation, experiential marketing, emotional branding, premium positioning, and new technology are some of the key marketing approaches examined in this research of Mercedes-Benz. Heritage, artisanal craftsmanship, and state-of-the-art technology are the brand's defining characteristics in the luxury goods industry. Influencer partnerships, tailored experiences, excellent post-sale support, and social media savvy all contribute to client retention. The German automaker Mercedes-Benz has remained ahead of the curve and continues to influence global perceptions of luxury vehicles by fusing traditional design principles with innovative ones. To maintain a brand's relevance and growth in value over time, this essay demonstrates how these integrated strategies work.
subject: Articles
  topic: section
subject: Luxury automotive market
  topic: keywords
subject: Mercedes-Benz
  topic: keywords
subject: marketing strategies
  topic: keywords
subject: brand positioning
  topic: keywords
subject: emotional branding
  topic: keywords
subject: customer loyalty
  topic: keywords
subject: brand equity
  topic: keywords
creator: Dr. DANDA UDAYA SHEKHAR
creator: RAVULA HARSHA VARDHAN
rights: Copyright (c) 2026 Advanced Research & Development Journal https://creativecommons.org/licenses/by-nc-nd/4.0
date: 2026-04-17
publication date: 2026-04-17

A STUDY ON PERSONALIZATION IN E-COMMERCE BALANCING CUSTOMER EXPECTATIONS AND DATA PRIVACY AT BIG BASKET
type: item
description: Sites like Big Basket strike a compromise between customer wants and concerns about data privacy in their approach to online shopping customisation. By adapting discounts, details, and product recommendations to each individual's preferences, customization enhances the user experience in today's digital market. However, since this personalization relies on gathering and analyzing data about consumers, significant privacy and ethical issues arise. This article examines Big Basket's practices—including data collection, recommendation engine development, and privacy protection—to demonstrate the challenge of providing highly personalized shopping experiences while simultaneously retaining consumers' confidence. In order to simplify personalization while safeguarding privacy, the results demonstrate the necessity of transparent data regulations, user authorization mechanisms, and data anonymization techniques. By demonstrating the significance of maintaining a balance between user rights and corporate aims, the study aids in comprehending the optimal approaches to personalizing e-commerce.
subject: Articles
  topic: section
subject: Customer Data Privacy
  topic: keywords
subject: Personalized Shopping Experience
  topic: keywords
subject: Data Security & Compliance
  topic: keywords
subject: Consumer Trust & Transparency
  topic: keywords
subject: AI-Driven Recommendations
  topic: keywords
subject: Consent-Based
  topic: keywords
creator: Mrs. P. NIVEDITA
creator: MARGAM SAI SRAVAN
rights: Copyright (c) 2026 Advanced Research & Development Journal https://creativecommons.org/licenses/by-nc-nd/4.0
date: 2026-04-17
publication date: 2026-04-17

A STUDY ON OPTIONS TRADING STRATEGIES FOR RETAIL INVESTORS WITH REFERENCE TO ICICI SECURITIES
type: item
description: This research examines the strategies, resources, and current market situation that ICICI Securities offers to individual investors in order to draw conclusions on the efficacy of their options trading approaches. Derivatives trading is becoming more popular among ordinary Indians as the process becomes more user-friendly. As a result, we must examine investor actions, risk-reward correlations, and strategic fit. Researched here are the effects on retail investors' decisions and returns of ICICI Securities' trading platforms, advisory services, and instructional resources. Straddles, spreads, covered calls, and protective puts are some of the more common trading strategies covered as well. The study's overarching goal is to identify the most effective responses to various market and risk scenarios through the use of empirical research, case studies, and a comprehensive literature analysis. Finally, it will examine strategies that small-scale Indian options market participants might employ to increase their profits while minimizing their losses.
subject: Articles
  topic: section
subject: Covered Calls, Protective Puts
  topic: keywords
subject: Cash-Secured Puts
  topic: keywords
subject: Iron Condor
  topic: keywords
subject: Bull Call Spread
  topic: keywords
subject: Bear Put Spread
  topic: keywords
subject: Straddle / Strangle
  topic: keywords
creator: Dr. AITHA CHERALU
creator: KAVALI RAJU
rights: Copyright (c) 2026 Advanced Research & Development Journal https://creativecommons.org/licenses/by-nc-nd/4.0
date: 2026-04-17
publication date: 2026-04-17

A STUDY ON MINDFULNESS PRACTICES FOR EMPLOYEE RESILIENCE AT KIMS HOSPITALS
type: item
description: The primary objective of this research is to determine the effects of organized treatments on employees' capacity to manage stress, adapt to demanding work settings, and maintain emotional health. These interventions may include breathing exercises, meditation, and sessions on mindful awareness. In it, we examine how KIMS Hospitals staff members might develop resilience using mindfulness practices. Researched here is the correlation between mindfulness and resilience in the face of chronic stress in the healthcare industry. It demonstrates that practicing mindfulness on a regular basis enhances concentration, decreases exhaustion, and fortifies coping mechanisms. With this data in hand, KIMS Hospitals can design health and wellness programs for their staff that are backed by science and shown to increase physical activity and better health outcomes.
subject: Articles
  topic: section
subject: Emotional Regulation
  topic: keywords
subject: Stress Reduction
  topic: keywords
subject: Self-Awareness
  topic: keywords
subject: Focus and Attention
  topic: keywords
subject: Work-Life Balance
  topic: keywords
subject: Compassion and Empathy
  topic: keywords
subject: Cognitive Flexibility
  topic: keywords
creator: Mrs. M. A. SHARMILA
creator: KAILA MADHAVI
rights: Copyright (c) 2026 Advanced Research & Development Journal https://creativecommons.org/licenses/by-nc-nd/4.0
date: 2026-04-17
publication date: 2026-04-17

A STUDY ON GROWTH OF DIGITAL WEALTH PLATFORMS IN INDIA AT ZERODHA
type: item
description: India's digital wealth platforms have grown significantly; one such example is Zerodha. Because of its open APIs, simple mobile apps, and affordable trading alternatives, millions of more clients can now invest. To demonstrate how technological developments and price swings have affected retail investment, the paper examines market tendencies, regulatory frameworks, and investor and fintech expert viewpoints. The rise of algorithmic tools, fractional investing, and mobile trading has empowered individuals to take charge of their financial futures. At the same time, new investors gained confidence through clear pricing and community outreach. Additionally, the research highlights the risks, such as following the crowd, lacking digital literacy, and inadequate regulation. It highlights the importance of strict rules, better information for investors, and careful product design to ensure user safety. Market activity and financial inclusion are impacted by this change, which is examined in the article. It suggests more public disclosures, prudent regulation, and platform governance upgrades as the company expands.
subject: Articles
  topic: section
subject: Digital wealth management
  topic: keywords
subject: Demat account surge
  topic: keywords
subject: Retail investor participation
  topic: keywords
subject: Automated risk profiling
  topic: keywords
subject: Hybrid advisory models
  topic: keywords
creator: Mr. A. KIRAN
creator: GULLANKI PAVAN KUMAR
rights: Copyright (c) 2026 Advanced Research & Development Journal https://creativecommons.org/licenses/by-nc-nd/4.0
date: 2026-04-17
publication date: 2026-04-17

A STUDY ON HYBRID WORK MODELS AND EMPLOYEE WELLBEING AT GREENKO GROUP
type: item
description: An innovative hybrid work paradigm is being put into place by the renewable energy industry frontrunner Greenko Group to benefit its employees. In today's companies, this model is essential. The option to work remotely or in the office is one way the company is giving its employees more freedom. Because of this, they will be able to better juggle their work and personal lives. Workers report less anxiety, more time to focus on other priorities, and better health as a result of reduced commuting. Since they could arrange their workday anyway they wished, many people enjoyed the independence that came with telecommuting. Workers reported higher levels of job satisfaction and motivation as well as increased engagement as a result of the hybrid strategy. While working from home has many advantages, the research did highlight certain drawbacks, such as occasional contact issues and feelings of isolation. The need for improved support systems became even more apparent when some workers experienced issues due to unequal access to resources. According to the research, Greenko Group can fix these issues by investing in technology that guarantee continuous connectivity and enhance communication channels. In order for employees to feel appreciated in their professional and personal life, it is critical to establish a welcoming work environment.
subject: Articles
  topic: section
subject: Hybrid work models
  topic: keywords
subject: Flexible work arrangements
  topic: keywords
subject: Remote work
  topic: keywords
subject: In-office work
  topic: keywords
subject: Work–life balance
  topic: keywords
subject: Employee wellbeing
  topic: keywords
creator: Ms. M. RAVALI REDDY
creator: BEGARI HARSHITH RAJ
rights: Copyright (c) 2026 Advanced Research & Development Journal https://creativecommons.org/licenses/by-nc-nd/4.0
date: 2026-04-17
publication date: 2026-04-17

A STUDY ON VALUATION OF STARTUPS USING REAL OPTIONS AT ZOMATO
type: item
description: This paper analyzes the potential implementation of a Real Options Approach to startup valuation, using Zomato Ltd. as a case research. Conventional methods of assessing companies often neglect the responsiveness, flexibility, and growth potential of digital platforms. The research elucidates critical decisions through an analysis of Zomato's corporate strategy, growth initiatives, and diverse revenue streams. These alternatives encompass the capacity to expand, contract, postpone, or terminate new ventures such as Hyperpure and Blinkit. Financial forecasting, scenario modeling, and option pricing techniques are employed to ascertain the company's strategic value. Genuine options consider intangibles that conventional models overlook, such as customer acquisition and network effects. The research revealed that managerial decisions during situations of uncertainty directly influenced the company's valuation. The statistics indicate that incorporating option values significantly enhances Zomato's valuation, underscoring the importance of this approach for businesses in turbulent markets. The Real Options Approach offers a more thorough and anticipatory view on the expansion of platform-based companies.
subject: Articles
  topic: section
subject: Real Options Valuation (ROV) Managerial Flexibility
  topic: keywords
subject: Uncertainty Analysis
  topic: keywords
subject: Startup Valuation Models and Strategic Investment Decisions
  topic: keywords
creator: Ms. A. JYOTHSNA
creator: VUKKALKAR PAVANI
rights: Copyright (c) 2026 Advanced Research & Development Journal https://creativecommons.org/licenses/by-nc-nd/4.0
date: 2026-04-17
publication date: 2026-04-17

A STUDY ON PAY FOR PERFORMANCE MODELS AND EMPLOYEE MOTIVATION AT JRG SECURITIES
type: item
description: JRG Securities' research examines in detail the effect of correlating compensation with performance on workers' opinions of their work and efficacy. The aim is to ascertain if incentives like commissions, bonuses, and performance-based prizes effectively stimulate employees to improve their commitment, productivity, and job happiness. The study indicates that, when effectively executed, pay-for-performance systems can incentivize employees, foster accountability, and improve their engagement with their tasks. This is evidenced by the implementation of staff surveys and the evaluation of performance measures. Nonetheless, the study underscores the disadvantages of these systems, such as increased stress levels, workplace rivalry, and a propensity to emphasize swift results. The overarching conclusion is that for both individuals and the organization to thrive collectively, optimal outcomes are attained by balancing superficial incentives, such as recognition, promotion opportunities, and professional progression, with more substantial rewards.
subject: Articles
  topic: section
subject: Pay-for-performance
  topic: keywords
subject: incentives
  topic: keywords
subject: productivity
  topic: keywords
subject: employee motivation
  topic: keywords
subject: rewards
  topic: keywords
creator: Mr. D. PRADEEP KUMAR
creator: VENNOJU CHAKRAPANI CHARI
rights: Copyright (c) 2026 Advanced Research & Development Journal https://creativecommons.org/licenses/by-nc-nd/4.0
date: 2026-04-17
publication date: 2026-04-17

A STUDY ON CASH FLOW ANALYSIS AS A BUSINESS TOOL AT BRITANNIA INDUSTRIES
type: item
description: A company's liquidity, efficiency, and projected longevity are all crucial pieces of information to have. An prominent fast-moving consumer products company in India, Britannia Industries, is the basis for the cash flow investigation in this research. The research examines Britannia's operations, investments, and funding sources to demonstrate the company's management of working capital, funding of expansion, and preservation of share value. In addition, the research highlights the significance of robust operating cash flows in order to maintain operations and fund expansion without resorting to excessive borrowing. Cash flow analysis reveals to managers the strengths and weaknesses of their funds as well as potential future spending priorities. This aids their decision-making process. This demonstrates Britannia Industries' capacity to generate profits while maintaining a healthy cash reserve, a crucial quality in a highly competitive market. With this, cash flow analysis becomes much more than a simple accounting task. Currently, it serves as a strategic tool for businesses, aiding in financial planning and overall company growth.
subject: Articles
  topic: section
subject: Cash Flow Analysis
  topic: keywords
subject: Financial Management
  topic: keywords
subject: Operating Cash Flow
  topic: keywords
subject: Investment Decisions
  topic: keywords
subject: Liquidity Assessment
  topic: keywords
subject: Cash Flow Statement
  topic: keywords
creator: Dr. DANDA UDAYA SHEKHAR
creator: GOVINDAGARI SREEJA
rights: Copyright (c) 2026 Advanced Research & Development Journal https://creativecommons.org/licenses/by-nc-nd/4.0
date: 2026-04-17
publication date: 2026-04-17

IOT-ENABLED REAL-TIME FOOD MONITORING USINGBLUETOOTH LOW ENERGY SENSORS
type: item
description: The Internet of Things (IoT) and Bluetooth Low Energy (BLE) have proven effective in tracking food in a variety of industries, including environmental management, food processing, agriculture, healthcare, and cosmetics. Numerous sensors keep an eye on things like ambient temperature, storage temperature, gas concentrations, and humidity. Byproducts of gas decomposition are detectable by gas analyzers. Depending on which is farthest from the server, the application uses Bluetooth Low Energy (BLE) or the Internet of Things (IoT) to gather data from samples. When paired with a public wireless GSM/GPRS network, this device can send and receive data over long distances. Combining GSM/GPRS with public wireless networks and the internet can result in significant cost savings. Improved tracking signal detection often results in improved device performance. Quality control can be improved with a food tracking device that makes use of Bluetooth Low Energy (BLE) and the Internet of Things. Throughout the industrial manufacturing process, this enhances the product's overall quality, consistency, and uniformity. This study looks at the most cutting-edge and relevant applications that are now changing the world.
subject: Articles
  topic: section
subject: Bluetooth Low Energy (BLE)
  topic: keywords
subject: Internet of Things (IoT)
  topic: keywords
subject: Food safety
  topic: keywords
subject: Quality tracing
  topic: keywords
creator: B. SAI SINDHU
creator: B.SAI RAM
rights: Copyright (c) 2025 Advanced Research & Development Journal https://creativecommons.org/licenses/by-nc-nd/4.0
date: 2025-12-27
publication date: 2025-12-27

DEVELOPMENT OF AN ANDROID-BASED INTELLIGENTCONTROL SYSTEM FOR DC MOTOR APPLICATIONS
type: item
description: Employing these new tools is essential for improving outcomes due to the continuous evolution of technology. Android is the predominant smartphone platform, ideal for developing real-time daily applications. The study examines the development and application of an economical, reliable, and secure Bluetooth-enabled controller for regulating the speed and direction of a DC motor. The smartphone enabled communication, while Bluetooth technology regulated the vehicle's speed. The PIC platform enables the swift advancement of electrical systems. The RPM of a DC motor is measured with an infrared monitor. A PWM signal can activate a DC motor. The Bluetooth module acquires data from the Android phone, energizes the DC motor, and presents the speed on an LCD screen. The data is transmitted through a Bluetooth receiver linked to a PIC.
subject: Articles
  topic: section
subject: PIC micro controller
  topic: keywords
subject: LCD
  topic: keywords
subject: Bluetooth
  topic: keywords
subject: IR sensor
  topic: keywords
subject: DC motors
  topic: keywords
creator: Dr. K. Naveen Kumar
rights: Copyright (c) 2025 Advanced Research & Development Journal https://creativecommons.org/licenses/by-nc-nd/4.0
date: 2025-12-27
publication date: 2025-12-27

AN INTELLIGENT AND SECURE SPAM CLASSIFICATIONFRAMEWORK BASED ON SUPERVISED LEARNING
type: item
description: *]:pointer-events-auto scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]" dir="auto" tabindex="-1" data-turn-id="request-WEB:2695db16-dda4-43b7-91c6-190e4968dbe0-2" data-testid="conversation-turn-6" data-scroll-anchor="true" data-turn="assistant"> Numerous sensors and actuators are connected through wired or wireless paths to enable data transmission. This field has seen rapid growth over the past decade, and by 2020 it was expected to be connected to more than 25 billion devices. In the next five years, these devices are expected to transmit significantly larger volumes of data than they do currently. Devices generate large amounts of data in multiple formats, with data quality influenced by factors such as the source of generation, processing time, and data volume. Machine learning techniques play a vital role in ensuring security and access control in biotechnology, while also enhancing safety and efficiency by identifying abnormal behavior. At the same time, malicious users often employ learning techniques to exploit system vulnerabilities. After analyzing these challenges, we propose the use of machine learning methods to identify and reduce spam, thereby improving device security. The most effective way to detect waste is through an autonomous learning system. This approach evaluates the performance of four machine learning models using different feature sets and metrics as inputs. All models utilize updated input attributes to calculate a spam score. This score, influenced by multiple factors, reflects the reliability of the device. The results show that the proposed method performs effectively when compared with other well-established systems.
subject: Articles
  topic: section
subject: Collection of data
  topic: keywords
subject: Authorization
  topic: keywords
subject: Anomalous detection
  topic: keywords
subject: Support Vector Machine
  topic: keywords
subject: K-nearest neighbour
  topic: keywords
subject: Spam
  topic: keywords
creator: Dr. BURLA SRINIVAS
rights: Copyright (c) 2025 Advanced Research & Development Journal https://creativecommons.org/licenses/by-nc-nd/4.0
date: 2025-12-27
publication date: 2025-12-27

BLOCKCHAIN-ENABLED PATIENT-CENTEREDHEALTHCARE DATA MANAGEMENT SYSTEM
type: item
description: Blockchains provide a safe way to store and transmit data because they are independent and permanent. Each link in the chain contains its own information, and every link is important to the entire system. As a result, the network is managed by the people directly involved in distributing and maintaining the data, rather than by a third party. Blockchain technology is used by pharmaceutical companies to store and share data from electronic medical records and clinical trials. It is also applied in mobile health applications and monitoring tools, and can be used for the management of insurance information. At present, there is limited research on blockchain technology in healthcare, though major changes are expected in the near future. The distributed ledger structure of blockchain improves data security and enables faster access to medical information, showing that, unlike traditional approaches, individuals are responsible for managing their own healthcare.
subject: Articles
  topic: section
subject: Blockchain
  topic: keywords
subject: Data Security and Confidentiality
  topic: keywords
subject: E-health
  topic: keywords
subject: Electronic Health Records
  topic: keywords
subject: Healthcare Service Innovation and IT
  topic: keywords
creator: B. VEENA
rights: Copyright (c) 2025 Advanced Research & Development Journal https://creativecommons.org/licenses/by-nc-nd/4.0
date: 2025-12-27
publication date: 2025-12-27

ENHANCING DATA SECURITY THROUGH A DUALINTEGRATION OF BLOCKCHAIN TECHNOLOGY ANDARTIFICIAL INTELLIGENCE
type: item
description: Artificial intelligence programs look through the data they are given and pull out the most important parts. However, internet data is shared and controlled by a number of groups, some of which may not be completely reliable. Because the internet is so complicated, this makes me wonder how well it works. Large numbers and cutting edge AI technology will have a harder time getting around online because of this. The SecNet design makes it easier to store, process, and send large amounts of data safely across the Internet by using big data. This makes AI better by letting it use more data sources in a safer internet environment. Blockchain technology's support for approved ownership makes large-scale data transactions possible. This makes it possible to share data. Safe computing solutions that are driven by AI use advanced security measures to make online settings more reliable. Using trustworthy value makes AI more useful and makes it easier for people to share information by offering security services. Users of the service or people who provide information may be paid for their work. This study looks at the financial benefits of network security, different ways to implement it, and the most popular ways to use SecNet.
subject: Articles
  topic: section
subject: Blockchain Technology
  topic: keywords
subject: Artificial Intelligence (AI)
  topic: keywords
subject: Data Security
  topic: keywords
subject: Smart Contracts
  topic: keywords
creator: Dr. S. RADHAKRISHNAN
creator: Dr. S. NAGENDRAM
rights: Copyright (c) 2025 Advanced Research & Development Journal https://creativecommons.org/licenses/by-nc-nd/4.0
date: 2025-12-26
publication date: 2025-12-26

AN EFFICIENT SNUBBER-BASED SOFT-SWITCHING STRATEGYFOR BIDIRECTIONAL ISOLATED FULL-BRIDGE CONVERTERS
type: item
description: The bidirectional isolated full-bridge converter (BIFBC) is extensively utilized in energy storage systems, electric vehicles, and renewable energy interfaces because to its capability to transfer power in both directions while maintaining galvanic isolation. However, typical converters experience significant switching losses, electromagnetic interference, and component stress due to hard-switching, particularly at elevated switching frequencies. This paper examines the utilization of active and inactive snubber circuits to facilitate softswitching in BIFBC topologies, hence addressing these issues. Passive snubbers consist of capacitors and inductors. Their resonance components modify the converter's operation, facilitate energy recovery, and reduce voltage stress. Active snubbers enhance the softswitching range and improve system efficiency across diverse load circumstances by recovering all energy dissipated through regulated switches. The study examines the impact of many factors, including design characteristics, switching transitions, and loss mitigation measures, on the overall performance of the converter. Passive snubbers remain attractive for straightforward and cost-effective designs. Simulations and comparative analyses indicate that active snubbers perform more effectively and induce reduced switching stress. To optimize soft-switching techniques in contemporary bidirectional isolated full-bridge converters, the findings illustrate the trade-offs among dynamic performance, efficiency, and complexity.
subject: Articles
  topic: section
subject: Bidirectional
  topic: keywords
subject: snubbers
  topic: keywords
subject: soft switching
  topic: keywords
creator: Mrs. V. SHIREESHA
rights: Copyright (c) 2025 Advanced Research & Development Journal https://creativecommons.org/licenses/by-nc-nd/4.0
date: 2025-12-26
publication date: 2025-12-26

EFFICIENT IMAGE RETRIEVAL USING COLOR AND TEXTURE FEATURES
type: item
description: *]:pointer-events-auto scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]" dir="auto" tabindex="-1" data-turn-id="request-WEB:dcf4f77d-0126-4a61-88ed-80a1a4798497-7" data-testid="conversation-turn-8" data-scroll-anchor="true" data-turn="assistant"> The CBIR approach is used to extract a picture from a big database. The color, texture, and form of an image are its most important components. The suggested method effectively extracts images by removing their attributes. Dominant color features allow predominant colors to be extracted to help with picture indexing. The Gray Level Co-occurrence Matrix (GLCM) is one method for characterizing the texture of images. Texture and color are not characteristics that set one apart. Shape information can be seen in edge images produced with gradient vector flow fields. Combining shape, texture, and color information results in a comprehensive set of attributes for image retrieval. The weighted Euclidean distance of shape, texture, and color can be used to distinguish between different kinds of photos. This retrieval approach uses a support vector machine to determine the significance of an image. This method will display images that are fairly similar to the one you requested.
subject: Articles
  topic: section
subject: CBIR, Dominant color descriptor, GLCM, GVF, SVM.
  topic: keywords
creator: T. SAMMAIAH, Assistant Professor, Department of ECE,
rights: Copyright (c) 2025 Advanced Research & Development Journal https://creativecommons.org/licenses/by-nc-nd/4.0
date: 2025-10-10
publication date: 2025-10-10

INNOVATIVE POWER FLOW CONTROL USING INTERLINE POWER FLOW CONTROLLERS
type: item
description: A cutting-edge technology for managing power flow over transmission lines, the interline power flow controller (IPFC) is the focus of this study. We use MATLAB to build and test the IPFC model. For subnetwork or multiline systems, an interline power flow controller is a versatile instrument for managing power flow. The IPFC, or Interline Power Flow Controller, uses FACTS to offer series correction. A converter regulates the flow of electricity across many transmission lines that share a single corridor. An integral part of the system is a VSC that shares voltage sources and has a dc-link input. The active power transfer is handled by the single dc-link, while the reactive power exchange is handled by the VSCs' individual transmission systems.
subject: Articles
  topic: section
subject: Interline Power Flow Controller (IPFC), Voltage Source Converter (VSC), Transmission Line, Reactive Power.
  topic: keywords
creator: Dr. V. LAKSHMI DEVI, Professor
rights: Copyright (c) 2025 Advanced Research & Development Journal https://creativecommons.org/licenses/by-nc-nd/4.0
date: 2025-12-26
publication date: 2025-12-26