Category Archives: Uncategorized

Authors: Rahul Yadav, Dr. R.S Khatana

 

 

Abstract: Data analysis plays a crucial role in today’s data-driven world. It is the science of examining raw data to make conclusions, identify patterns, and support decision-making. This paper explores the definition, techniques, tools, and real-world applications of data analysis, especially in sectors like business, healthcare, education, and government. With the rising importance of big data, this study also discusses ethical considerations and challenges faced in data analysis.Data analysis is indispensable in the digital age. From simplifying operations to transforming entire industries, its potential is vast. However, with power comes responsibility. Ethical handling of data, maintaining quality, and using insights judiciously are key to unlocking the true potential of data analysis.

DOI: http://doi.org/

 

 

Published by: vikaspatanker

Authors: Professor Dr. A. A. Kalage, Megha Dagadu Gade, Vaishnavi Digambhar Mundhe, Shraddha Sandip Ambekar, Asmita Amarsingh Jagdale

Abstract: Transmissao Paulista actually operates 105 substations geographically distributed across Sao Paulo State. These substations are remotely operated by two Operating Centers – Transmission Operating Center (COT Centro de Operacao da Transmissao), Bom Jardim SP, and Back-end Operating Center (COR – Centro de Operacao Retaguarda), Cabreiiva SP. Through the years, CTEEP has been deploying its high reliability and throughput WAN/LAN to connect all of its key facilities. Based on such corporate network infrastructure, it was possible to provide remote operations with a visual, real time monitoring system. Its structure comprises cameras installed in substation strategic spots, local digital image recorder and devices to convert and regulate video streams and control cameras, and Ethernet network interfaces. The system allows visual checking of operating handling, physical status of substation yard, and perimeter integrity thus addressing many corporative areas' needs. Since there is a high reliability, high throughput corporative network infrastructure available to connect main facilities, it enable us to provide remote substation operations with support of a visual, real time monitoring system, which comprises camera movement control, tamper-proof recording, image transmission and viewing, both locally and remotely. SIM – Sistema Integrado de Monitoramento (Integrated Monitoring System) is a joint project among CTEEP's Enterprise Security, Information Technology, and Maintenance and Operations organizations. It aims to deploy a visual monitoring system for electrical substations providing camera movement control, tamper-proof recording, image transmission and viewing, both locally and remotely using existent corporative network ("browser-based"). It allows electrical system operations and enterprise security organizations to monitor substations and other CTEEP facilities through images transmitted via data channels (corporative network), which are enabled by heterogeneous technologies and throughput, from frame relay (64Kbs to 512Kbps) to fiber optic/digital radio links (2Mbps). By promoting integration of video, audio, and text information, and by associating it to company existing databases, SIM also meets CTEEP's strategic goals related to information system integration (technological convergence). In addition to align strategic information integration goals, SIM deployment will provide CTEEP Electrical Transmission System operators with environmental viewing of facilities in a real-time, strategic way, enabling an improvement of operating processes. SIM usage means lower costs related to staff displacement to remotely assisted substations, either for equipment handling checking, equipment current status checking or substation areas physical integrity checking. All of these intended to optimize access to substations risk areas. Also, note that such solution means lower operating and maintenance costs for entire company due to its standardization.

Published by: vikaspatanker

Authors: Professor Dr. A. A. Kalage, Megha Dagadu Gade, Vaishnavi Digambhar Mundhe, Shraddha Sandip Ambekar, Asmita Amarsingh Jagdale

Abstract: Transmissao Paulista actually operates 105 substations geographically distributed across Sao Paulo State. These substations are remotely operated by two Operating Centers – Transmission Operating Center (COT Centro de Operacao da Transmissao), Bom Jardim SP, and Back-end Operating Center (COR – Centro de Operacao Retaguarda), Cabreiiva SP. Through the years, CTEEP has been deploying its high reliability and throughput WAN/LAN to connect all of its key facilities. Based on such corporate network infrastructure, it was possible to provide remote operations with a visual, real time monitoring system. Its structure comprises cameras installed in substation strategic spots, local digital image recorder and devices to convert and regulate video streams and control cameras, and Ethernet network interfaces. The system allows visual checking of operating handling, physical status of substation yard, and perimeter integrity thus addressing many corporative areas' needs. Since there is a high reliability, high throughput corporative network infrastructure available to connect main facilities, it enable us to provide remote substation operations with support of a visual, real time monitoring system, which comprises camera movement control, tamper-proof recording, image transmission and viewing, both locally and remotely. SIM – Sistema Integrado de Monitoramento (Integrated Monitoring System) is a joint project among CTEEP's Enterprise Security, Information Technology, and Maintenance and Operations organizations. It aims to deploy a visual monitoring system for electrical substations providing camera movement control, tamper-proof recording, image transmission and viewing, both locally and remotely using existent corporative network ("browser-based"). It allows electrical system operations and enterprise security organizations to monitor substations and other CTEEP facilities through images transmitted via data channels (corporative network), which are enabled by heterogeneous technologies and throughput, from frame relay (64Kbs to 512Kbps) to fiber optic/digital radio links (2Mbps). By promoting integration of video, audio, and text information, and by associating it to company existing databases, SIM also meets CTEEP's strategic goals related to information system integration (technological convergence). In addition to align strategic information integration goals, SIM deployment will provide CTEEP Electrical Transmission System operators with environmental viewing of facilities in a real-time, strategic way, enabling an improvement of operating processes. SIM usage means lower costs related to staff displacement to remotely assisted substations, either for equipment handling checking, equipment current status checking or substation areas physical integrity checking. All of these intended to optimize access to substations risk areas. Also, note that such solution means lower operating and maintenance costs for entire company due to its standardization.

Published by: vikaspatanker

Authors: Tarush Katiyar,, Khushi Pant, Sumit Yadav, Aman Anand, Dr. Vivek Kumar,, Dr. Hitesh Singh,

 

 

Abstract: The rapid growth of cyber threats, especially malicious domain (phishing) attacks, calls for advanced detection methods beyond traditional signatures. We propose a machine learning framework that analyzes URL characteristics and other features to classify domains as safe or malicious. The system uses Python-based tools (Pandas, scikit-learn, XGBoost) to train and evaluate multiple classifiers – including Random Forests, Decision Trees, Gradient Boosting, XGBoost, and Logistic Regression. Features are extracted directly from URL strings (such as domain entropy, URL length, and special character counts) along with blacklist/whitelist checks. On a large URL dataset (≈700k samples), ensemble methods achieved high accuracy: for example, Random Forest reached 95% accuracy on the test set, and XGBoost reached 94%. In contrast, a simple logistic regression achieved only 78% accuracy, showing the advantage of tree-based models on this task. Our results demonstrate that ML-driven analysis of URL -based features can effectively detect malicious domains, significantly improving over naive baselines. The framework is implemented as a Python pipeline and can be integrated into real-time security tools. Future work will extend this approach with additional data sources and advanced learning techniques to further improve detection rates.

DOI: http://doi.org/

 

 

Published by: vikaspatanker

Authors: Nitin Yadav, Assistant Professor Dr. Rajendra Khatana, Neeharika Sengar

 

Abstract: Artificial Intelligence (AI) is changing our world very quickly. It affects how we work, learn, communicate, and get medical help. This paper talks about where AI is heading in the future. It looks at the good things AI can bring, the problems it might cause, and the ethical questions we need to think about. As AI becomes smarter and more powerful, we need to be careful about how we use it. This paper discusses trends, new technologies, and why it's important to develop AI in a responsible and fair way. AI is no longer a futuristic concept—it is deeply embedded in many areas of our lives. From personalized recommendations on streaming platforms to advanced medical diagnostics, AI systems are assisting humans in making better decisions and improving efficiency. With rapid advancements in machine learning, deep learning, and natural language processing, AI continues to break new ground, offering innovative solutions to problems once thought to be unsolvable. The potential benefits of AI are vast. In healthcare, AI can assist doctors by analyzing medical images and patient data to detect diseases earlier and with higher accuracy. In education, AI-powered tutors can adapt to individual students’ learning styles. In transportation, autonomous vehicles promise to reduce accidents and traffic congestion. AI also holds the promise of transforming industries like agriculture, where smart sensors and predictive analytics can increase crop yields while reducing environmental impact. This paper aims to provide a comprehensive overview of these issues by examining the current state of AI, future trends, and possible applications. It also addresses the ethical and societal implications of widespread AI adoption. The goal is not only to inform but also to encourage responsible innovation—AI must be developed with fairness, transparency, accountability, and inclusiveness in mind.

DOI:

 

Published by: vikaspatanker

Authors: Rahul Yadav, Dr. R.S Khatana

 

 

Abstract: Data analysis plays a crucial role in today’s data-driven world. It is the science of examining raw data to make conclusions, identify patterns, and support decision-making. This paper explores the definition, techniques, tools, and real-world applications of data analysis, especially in sectors like business, healthcare, education, and government. With the rising importance of big data, this study also discusses ethical considerations and challenges faced in data analysis.Data analysis is indispensable in the digital age. From simplifying operations to transforming entire industries, its potential is vast. However, with power comes responsibility. Ethical handling of data, maintaining quality, and using insights judiciously are key to unlocking the true potential of data analysis.

DOI: http://doi.org/

 

 

Published by: vikaspatanker

Authors: Rahul Yadav, Dr. R.S Khatana

 

 

Abstract: Data analysis plays a crucial role in today’s data-driven world. It is the science of examining raw data to make conclusions, identify patterns, and support decision-making. This paper explores the definition, techniques, tools, and real-world applications of data analysis, especially in sectors like business, healthcare, education, and government. With the rising importance of big data, this study also discusses ethical considerations and challenges faced in data analysis.Data analysis is indispensable in the digital age. From simplifying operations to transforming entire industries, its potential is vast. However, with power comes responsibility. Ethical handling of data, maintaining quality, and using insights judiciously are key to unlocking the true potential of data analysis.

DOI: http://doi.org/

 

 

Published by: vikaspatanker

Authors: Okoh Felicia Ngozi, Ahaiwe Peace Oluebube, Amoke Ofoma Cornelius Okoroafor Kechukwu, Okafor, Collins Onyebuchi, Odikamnoro, Oliver Onyemaeze, Okoye, Ikem Chris

Abstract: Gastrointestinal and urogenital parasites are among the leading cause of parasitic infections in most part of sub-Saharan Africa and is common in States of Nigeria including Ebonyi. The objective of this study, which was done in Evangel University Akaeze, Ebonyi State, southeastern Nigeria, was to identify the burden of parasites among the students’ population with emphasis on intestinal and urogenital parasites. Four hundred students participated in the study. Stool samples were collected from 200(56 males and 144 females) and urine samples collected from another 200(24 males and 176 females) and examined microscopically. Analyses of the data obtained showed that of 200, 72(36%) had intestinal parasites, (p>0.05). Six different species of the intestinal parasites were prevalent among the study subjects and Ascaris lumbricoides 40(20%) was the most prevalent. Others were Teania spp 12(6%) Entamoeba histolytica 8(4%), Strongyloides stercoralis 4(2%), Fasciola spp 4(2%) and coinfection of Schistosoma mansoni and Teania sp 4(2%), Results of urine samples showed that out of 200, 56 (28%) students were infected by four species of urogenital parasites with Trichomonas vaginalis being the most prevalent 36 (18%), Schistosoma haematobium 8(4.0%), Enterobius vermicularis 4(2%) and Giardia lambilla infected 4(2%). Also 4(2%) of the sampled subjects had coinfection with Enterobius vermicularis and Schistosoma haematobium. The authors suggest that urogenital infection of the subjects by Giardia lamblia may have resulted from their practicing oral-genital sexual activity – anilingus (licking or kissing of the anus to produce sexual stimulation) or fellatio (oral stimulation of penis). Anal intercourse especially by homosexual students is also incriminated. Parasitic infections are still of public health challenge in Nigeria, especially among teenagers and young adults. Intervention by the concerned agencies is encouraged.

DOI:

 

 

Published by: vikaspatanker

Authors: Harshita Alibagkar, AvnishKumar Thakur, Pranali Awhale, Mr. Manish R. Khodaskar, Aaditya Bhamare

Abstract: MedManageX is an AI-driven hospital management ecosystem aimed at addressing significant challenges in health- care operations. Built on the MERN stack, this platform inte- grates advanced technologies to enhance hospital management through key features such as an optimized doctor appointment booking system, an efficient internship application tracking mechanism, and AI-powered disease prediction. Additionally, MedManageX includes an AI chatbot that provides instant medical guidance to patients and keeps users updated with the latest health news. By streamlining these processes, MedManageX seeks to improve operational efficiency and elevate patient care standards, demonstrating its potential to revolutionize healthcare delivery.

DOI:

Published by: vikaspatanker

Authors: Professor M.D.Patil, Mr. Kumbhar Sani Anil, Mr. Dadas Swapnil Uttam

Abstract: The increasing need for automation in industries has led to the development of systems that can improve efficiency, accuracy, and reduce human involvement in repetitive tasks. This project, titled "Sorting of Metal and Non-Metal using PLC," focuses on designing an automated system that can differentiate and sort materials based on their metallic or non-metallic properties. Using a conveyor belt mechanism integrated with an inductive proximity sensor and controlled by a Delta DVP14SS2 PLC, the system detects the material type of objects and sorts them accordingly. The automation process ensures high- speed operation, consistent accuracy, and minimized errors compared to manual sorting. This project demonstrates the practical application of PLCs in industrial automation and material handling, offering a cost-effective and scalable solution suitable for small and medium-scale industries. The system is designed to be modular, allowing future expansion such as adding more sensors or integrating a vision system. It also promotes safety by reducing the need for manual intervention in hazardous working environments. The success of this project highlights the potential of automation to transform traditional material handling processes into more intelligent, reliable, and efficient systems. The implementation of such automated sorting systems can greatly benefit industries like recycling plants, manufacturing units, and quality control departments by streamlining their operations and ensuring greater precision. The integration of PLC technology not only makes the system more flexible and adaptive but also simplifies troubleshooting and future upgrades. Overall, this project sets a strong foundation for the future development of more advanced material classification and handling systems using automation and smart technologies.

Published by: vikaspatanker