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IJSRET Volume 1 Issue 6, November-2015

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Control the Chaotic Rikitake System by PID Controller [106-109]

Author: Mojtaba Chavooshi Zade

Increasing the Strength of a Concrete Mix by Applying a Useful Micro-Organism (Bacteria) in It [110-111]

Author: Aashish Kumar Jain

An Art to Protect Originality of Digital Data: Digital Watermarking [112-115]

Author: Pravesh Chaubey, Ashish Singhadia

BCH Encoded DWT Based Watermarking Scheme Based on Singular Value Decomposition for Higher PSNR Ratio [116-120]

Author: Pravesh Chaubey, Ashish Singhadia

Experimental Investigation on Hybrid Fibre Reinforced Concrete Beams [121-125]

Author: K. Kartheek Babu, K. Rushi Kesava Reddy, A. Annadurai

Review: Efficient and Scalable Multiple Class Classification [126-129]

Author: Esha Shrivastava, Yogdhar Pandey

Epidemiological And Environmental Drivers Of Dengue Fever: A Case Study Of Bareilly District, Uttar Pradesh India

Authors: Dr. Barkha

Abstract: Dengue fever is an emerging mosquito-borne viral disease and a significant global public health concern, particularly in tropical and subtropical regions. The present study investigates the dynamics of dengue fever in Bareilly district, Uttar Pradesh, India, with special emphasis on epidemiological patterns, environmental factors, and clinical manifestations. The study was conducted during the peak transmission period from August to October 2014 through surveys of ten hospitals and pathology laboratories. Data were collected on suspected and confirmed dengue cases, including variables such as age, sex, symptoms, and diagnostic methods. Blood samples were analyzed using ELISA, rapid diagnostic kits, and microscopy. The results revealed a considerable number of dengue cases across all age groups, with both males and females equally affected. Common clinical features included high fever and thrombocytopenia (low platelet count), while mortality remained below 1% due to timely medical intervention. Environmental and socio-economic factors such as rapid urbanization, poor waste management, water stagnation, and favorable climatic conditions (temperature, humidity, and rainfall) were identified as major contributors to dengue transmission. Comparative analysis with the 2010 nationwide.

DOI: https://doi.org/10.5281/zenodo.19448692

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IJSRET Volume 1 Issue 5, September-2015

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Improving Congestion Control in Internet Networks using Fuzzy Logic Congestion Controller [78-81]

Author: C . A. Mgbachi, I. I. Eneh, and Ameh, E. M

A Novel Technique to Determine the Controlling Unstable Equilibrium Point in Power Systems [82-89]

Author: Wagdy M. MANSOUR, Mohamed A. ALI, Nader SH. ABDELHAKEEM

Multi-agent Model Predictive Control of Nonlinear Interconnected Hydro-Thermal System Load Frequency Control Based on Bat Inspired Algorithm [90-99]

Author: M. Elsisi, M. A. S. Aboelela, M. Soliman, W. Mansour

Electrical Characteristics of XLPE Cables Containing Different Levels of Calcium Carbonate Filler[100-105]

Author: Loai Nasrat, Mamdouh Abd El-Akher, Shaymaa Qenawy


A Trust Model Approach In Internet Of Things
Authors: Prabal Kumar Joshi

Fractional Differential Equations (FDEs) In Viscoelasticity Or Anomalous Diffusion

Authors: Jag Pratap Singh Yadav

Abstract: Classical diffusion models based on Fick’s law assume Brownian motion and local transport, leading to a mean squared displacement that grows linearly with time. However, many physical, biological, and engineering systems exhibit anomalous diffusion, where the mean squared displacement follows a power law in time rather than a linear relationship. Such behavior commonly arises in heterogeneous porous materials, crowded biological environments, polymeric systems, and disordered media, where long trapping times and memory effects invalidate standard integer-order diffusion equations. Despite significant progress in fractional modeling, there remains a need for mathematically consistent and computationally efficient formulations that clearly link the physical origin of anomalous transport to robust numerical implementation. In this paper, we develop a time-fractional diffusion model using the Caputo fractional derivative to represent memory-dependent transport induced by heavy-tailed waiting times. Starting from the conservation of mass and a constitutive relation with temporal memory, we derive a physically meaningful fractional diffusion equation. An analytical solution for a benchmark initial-boundary value problem is presented using Laplace and Fourier transforms, and a numerical approximation based on the L1 finite difference scheme is constructed. The stability and convergence properties of the numerical method are discussed. Numerical experiments demonstrate that the fractional order controls the transition from normal to subdiffusive transport and accurately reproduces power-law mean squared displacement behavior. The model captures anomalous transport with significantly fewer parameters than multi-scale classical alternatives. These results show that fractional differential equations provide an effective and parsimonious framework for describing memory-driven diffusion processes, with direct relevance to transport in porous media, biological tissues, and complex soft matter systems.

DOI: http://doi.org/10.5281/zenodo.70

 

 

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IJSRET Volume 1 Issue 4, July-2015

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A Comprehensive Study on Solar Power Plant at Educational Institute Level [42-49]

Author: P. V. Ramana, B. Sudheerprem Kumar, D. Maheswar

Online Modern Philosophy for Stability Detection Based on Critical Energy of Individual Machines [50-57]

Author: Wagdy M. MANSOUR, Mohamed A. ALI, Nader SH. ABDELHAKEEM

Implementing Behavior Prediction using Frequent Pattern Tree using Data Mining Technique in Smart Home [58-61]

Author: Ms. Sonam Sheikh, Prof. Vaidehi Baporikar

Artificial Neural Network Approach to Distribution Transformers Maintenance [62-70]

Author: Uhunmwangho Roland, Omorogiuwa Eseosa

A Comprehensive Review Of Schiff Base Transition Metal Complexes: Synthetic Strategies, Structural Insights, And Biological Applications

Authors: Niranjan Kumar Mandal, Ranjan Kumar

Abstract: Schiff base transition metal complexes have emerged as a pivotal class of compounds in coordination chemistry due to their structural diversity, facile synthesis, and broad-spectrum biological activities. This review critically compiles and analyzes literature from 2000 to 2013, emphasizing synthetic methodologies, coordination behavior, and characterization techniques of Schiff base ligands and their complexes with transition metals. Particular attention is given to their promising applications in antimicrobial, antioxidant, anticancer, and catalytic domains. The role of the azomethine (-C=N-) functional group in ligand-metal binding and its impact on physicochemical properties is discussed in detail. Advances in understanding structure-activity relationships highlight how metal ion identity and ligand substituents influence bioactivity and selectivity. Challenges such as limited substrate scope and stability issues are also addressed, alongside prospects for future research involving novel Schiff base frameworks and sustainable synthesis routes. This comprehensive overview serves as an essential resource for scientists exploring Schiff base complexes in bioinorganic and medicinal chemistry.

DOI: https://doi.org/10.5281/zenodo.17157634

 

A Review On Schiff Base Metal Complexes: Synthesis, Characterization, And Applications

Authors: Ranjan Kumar, Niranjan Kumar Mandal

Abstract: Schiff base metal complexes have garnered significant attention in coordination chemistry due to their diverse structural features, catalytic properties, and biological activities. These complexes, synthesized via the condensation of primary amines with carbonyl compounds (e.g., salicylaldehyde, acetylacetone), form stable chelates with transition metals (e.g., Cu(II), Ni(II), Co(II), Zn(II)), exhibiting a wide range of coordination geometries (e.g., square planar, tetrahedral, octahedral). Their structural adaptability allows for tailored electronic environments, making them excellent candidates for catalytic processes such as asymmetric synthesis, C–C coupling, and oxidation reactions. Additionally, their interactions with biological macromolecules (e.g., DNA, proteins) have spurred interest in their use as antimicrobial, anticancer, and diagnostic agents. This review highlights the synthesis (e.g., template methods, solvent-free routes), characterization techniques (e.g., UV-Vis, IR, XRD, EPR), and applications of Schiff base metal complexes, emphasizing their relevance in medicinal chemistry (e.g., bioinorganic drug design), catalysis (e.g., industrial and green chemistry), and material science (e.g., luminescent materials, MOFs). By consolidating key findings from the literature before 2014, this work provides a comprehensive understanding of these versatile compounds, identifying gaps in current knowledge and suggesting future research avenues for optimizing their functional utility.

DOI: https://doi.org/10.5281/zenodo.17157735

 

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IJSRET Volume 1 Issue 3, May-2015

Uncategorized

Investigation of Dependent Rikitake System to Initiation Point [33-36]

Author: Yousof Gholipour, Amin Ramezani, Mahmood Mola

Estimation of Progression Deviation of Dynamic RAM Memory Architecture [37-41]

Author: Amit Shhivhare, Vivek Dubey

Java Virtual Machine (JVM): Architecture, Goals, and Tuning Options
Authors:-RamaKrishna Manchana

Abstract-The Java Virtual Machine (JVM) plays a pivotal role in Java’s platform-independent execution, providing a runtime environment that translates Java bytecode into machine-specific instructions. This paper explores the architecture of the JVM, detailing its core subsystems, execution strategies, and tuning options available as of 2017. By examining the association between the JVM, JRE, and JDK, alongside advanced tuning techniques, this paper provides insights into optimizing performance metrics such as latency, throughput, and memory usage for various application needs.

DOI: 10.61137/ijsret.vol.1.issue3.42

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IJSRET Volume 1 Issue 1, January-2015

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ALARC Approach for Litho Friendly Standard Cell Layout Design [1-4]

Author: Praveen Chadhokar

Effect of Inhibitors on the Corrosion Behaviour of Cold-Rolled Mild Steel [5-8]

Author: Okonji, P. O.; Okonji, R.E. and Odo J. U.

Effect of Welding Current and Filler Metal Types on Macrostructure and Tensile Strength of Gtaw Welded Stainless Steel Joints [9-12]

Author: Okonji, P. O.; Nnuka, E. E. and Odo J. U.

PV Parameters Estimation using a Developed Iterative Method [13-17]

Author: Tarek M. El-Sayed, Abd El-Shafy A. Nafeh, Faten H. Fahmy, Hosam K. M. Yousef

Description of the Natural Properties, Geomorphologic Aspects and Human Activity in Matammah Area–Northern Sudan (Application of GIS) [18-20]

Author: Muhammed Ali Hassan Dahab,Dafalla Siddig Dafalla Wadi

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IJSRET Volume 1 Issue 2, March-2015

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Effect of Ni-additions on the Microstructure and Mechanical Properties of Fe-based Chill-Cast Al-Si Alloys for Production of Pistons for Automobile Engine Applications[21-24]

Author: N. E. Nwankwo, V. U. Nwoke and E. E. Nnuka

On Complement of Distinct Approximations of Fuzzy Number [25-32]

Author: D. Stephen Dinagar, K.Jivagan

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Migrating Legacy Information Management Systems To AWS And GCP: Challenges, Hybrid Strategies, And A Dual-Cloud Readiness Playbook

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Authors: Sudhir Vishnubhatla

Abstract: Legacy Information Management Systems (IMS) remain central to operations in banking, healthcare, public sector, and media, yet their monolithic design, proprietary data formats, and brittle integrations have become barriers to agility and intelligent analytics. Earlier literature identified the persistent costs and risks of legacy IMS and proposed incremental modernization through wrapping, service extraction, and reengineering, while empirical studies in the early 2010s established the feasibility and business value of infrastructure-as-a-service (IaaS) rehosting. As of late 2017, however, the migration decision space has widened: enterprises are not merely choosing whether to move to the cloud, but how to distribute workloads across multiple hyperscalers, primarily Amazon Web Services (AWS) and Google Cloud Platform (GCP). This article synthesizes more than a decade of academic and industrial work on legacy migration and proposes a Dual-Cloud Readiness Playbook tailored to IMS modernization. The playbook comprises a readiness scorecard, a five-phase migration lifecycle, and a layered hybrid architecture that balances compliance, cost, and capability while reducing vendor lock-in. The result is a pragmatic framework that aligns with the realities of petabyte-scale content archives, metadata-heavy workflows, and emerging regulatory constraints, offering a credible path from monolithic legacy platforms to modern, cloud-native information management

DOI: https://zenodo.org/records/17298069

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A Trust Model Approach In Internet Of Things

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Authors: Prabal Kumar Joshi

Abstract: IoT (internet of things) is defined as a worldwide framework for information world, which provides advanced services by connecting physical and virtual things through information technology and adoptable communication available in the evolution process. IoT is just applied to overcome the concerns related to safety. Sharing information among different devices can affect the private information of users. Therefore, a proper approach mechanism is required to prevent the risk of malicious and vulnerable failures. Multi-services IoT is vulnerable to many types of malicious attacks. Trust management provides a potential solution for safety issues of distributed networks. In this article, an algorithm is designed in order to calculate trust, which does not calculate the amount of trust for all neighbors and just calculates it for suspicious neighbors located in the list of suspicious nodes. Subsequently, energy consumption in comparison to the approach of basis article has so much decrease.

DOI: http://doi.org/10.5281/zenodo.17034568

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Adaptive Web Interfaces Through Hybrid Server-Client Architecture: Leveraging ASP.NET MVC And React For Context-Aware UI

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Authors: Hema Latha Boddupally

Abstract: Adaptive User Interfaces (AUIs) have become increasingly essential as modern software applications are expected to deliver seamless, intuitive, and personalized experiences across a broad spectrum of devices, screen dimensions, accessibility needs, and interaction contexts. With users frequently transitioning between desktops, tablets, mobile phones, and other emerging platforms, traditional fixed or solely responsive design approaches often fall short in addressing deeper adaptive requirements such as behavior-driven adjustments, contextual awareness, and user-specific personalization. This paper presents a hybrid model for AUI development that integrates ASP.NET MVC’s robust server-side rendering pipeline with React flexible, component-based client-side architecture, enabling interfaces that not only adapt visually but also evolve functionally based on user roles, preferences, device capabilities, and real-time interaction patterns. By leveraging server-side logic for initial content shaping and client-side React components for dynamic rendering and state-driven updates, the proposed model supports fine-grained adaptation, modular UI evolution, and scalable interface personalization. Building on established concepts in responsive design, adaptive graphical interfaces, and context-aware interaction models, the study outlines key architectural strategies, design principles, and implementation techniques that facilitate the development of maintainable, high-performance AUI systems. Furthermore, the paper examines practical challenges such as context modeling, synchronization between server and client layers, managing diverse user scenarios, and optimizing rendering performance, ultimately demonstrating how the synergy of MVC and React provides a powerful foundation for creating intelligent, user-centered adaptive interfaces capable of meeting the demands of modern digital ecosystems.

DOI: http://doi.org/10.5281/zenodo.18042587

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