Category Archives: Uncategorized

Dynamic Load Flow Analysis and Exploring PV Unit Placement in RTS-96 Bus System at Various Locations
Authors:S.Revathi, J.jagesh, B.Kishore, S.Vignesh

Abstract- This paper delves into the dynamic load flow analysis of the RTS-96 bus system, focusing on the integration of power system units at different locations to enhance the system’s efficiency and resilience. It combines advanced power system analysis techniques with renewable energy integration strategies to optimize the performance of the power grid. The dynamic load flow analysis provides insights into the real-time behavior of the power distribution network, considering factors such as varying loads, generation patterns, and system contingencies. By leveraging the RTS-96 Bus System as the testbed, power losses, and overall system reliability can be determined. In addition to load flow analysis, the study explores the strategic placement of solar and wind grid units within the RTS-96 Bus System. By utilizing advanced optimization algorithms, the research identifies optimal locations for integrating wind and solar grids to maximize energy generation while minimizing the impact on grid in stability. The goal is to develop a comprehensive understanding of how distributed generation can be strategically deployed to enhance the overall performance of the power system. It includes conducting dynamic load flow analysis on the RTS-96 bus system to assess its real-time behavior under varying conditions.

DOI: 10.61137/ijsret.vol.10.issue1.201

Published by: Kajal Tripathi

Focus Assist: Enhancing Road Navigation with Improved Awareness Using AI
Authors:-Dr.G.Sumathi, S.Harini, R. Sowmya, P.A.Srivarsha

Abstract- Distracted driving is a major global contributor to traffic accidents. Distracted drivers are three times more likely than non-distracted drivers to be involved in an accident. For this reason, enhancing road safety requires the ability to identify driver distraction. Numerous earlier research have put forth a variety of techniques for detecting driver distraction, including approaches based on images, sensors, and machine learning. However, the accuracy, complexity, and real-time performance of these approaches are limited. Using a convolutional neural network (CNN) and the You Only Look Once (YOLO) object detection algorithm, this work suggests a unique method for driver distraction detection. The two primary phases of the suggested model are the classification of the items that are discovered and object detection utilizing YOLO. The driver’s face, hands, and other items that could distract them are among the many elements in their environment that the YOLO algorithm is used to identify and find.Next, a CNN is used to categorize the things that have been spotted in order to ascertain whether or not the driver is distracted. The suggested model performs well in identifying driver distraction when tested on a public dataset. Utilizing the CNN algorithm, assess the driver’s level of sleepiness based on ocular attributes. The integration of the suggested technique into sophisticated driver assistance systems has promise for enhancing road safety in real-time conditions.

DOI: 10.61137/ijsret.vol.10.issue2.304

Published by: Kajal Tripathi

Floating Dual Axis Sun Tracker Solar Panel
Authors:Nitesh Singh, Dr. D Shakina Deiv

Abstract- Floating sun tracker solar panel is a solar panel that is mounted on a floating platform and incorporates a sun tracking mechanism. The floating panel allow advantages such as reduced land requirements and minimized water evaporation. The sun tracker mechanism adjusts the orientation of the solar panel to follow the sun’s path, maximizing energy generation. This technology offers increased energy production compared to fixed solar installations and can benefit from the cooling effect of water. However, challenges exist in system design, mechanical and electrical issues, and ensuring stability in water environments. Further research is needed to optimize these systems and assess their economic viability.

DOI: 10.61137/ijsret.vol.10.issue1.128

Published by: vikaspatanker

Speed of growing world is control by machines, hence most of researchers are doing work in this field for the machine learning models. Each research need reach to relevant audience hence publication is the only medium to do that, people always looks for the Top Journals in Machine Learning for publication. But most of publishers are just making content online after this no work was done from the journal side to work. Journal who are really working in the field of machine learning try to index themself in more renowned platforms. Getting such journal is not tough these days. Some of simple step to judge a journal is find the latest content publish by the journal, volume, issue of current year/ month. Its content help to find that journal I doing publication. Further if journal is doing less number of publication then be aware as those are not doing this work seriously. People need to check the content from global reach as publication needs global audience to read/write about the matter. If journal provide open access to the published content then it is easy for the reader to come to know more about your work.

Submit Your Paper  / Check Publication Charges

Some of key points that publisher should learn or check before paper submission are:

1.Check relevancy of content with your machine learning topic if content present then do submit paper as chance of publication is high. Further check journal has variety of author from more than one nation. As each of those author attract its own reader that may increase the chance that your paper may be read or cite by that random person.
2.Publication of journal is costly process with paid journals hence always check all set of publication charges either hidden or known. In case pocket now allow then do not submit content in that journal as it may waste your time in review/correction process.
3.Some of the authors should consult with mentor, batch mates about the journal and its reach. This help to learn about the journal. People who are looking for the fast publication should be more aware of publisher promises as people do mention page of journal but reality is differ.

Journal who do not mention scope of research publication, indexing, publication fees, contact number, etc. is alarming hence those not good sites to publish content. Getting Top journal in Machine Learning of any other are research area list is not possible hence its author own understanding learning that helps to learn about it.

Published by: Neeraj Mishra

Researcher who are close to complete degree need for the fastest journal to publish research content. Hence getting such journals is not easy as many of scholars are approaching to search engines but due default listing reach to such publishers is not easy. Some of publishers are not valid and do publication which may result in fake publication. This article help scholars to understand that journal selection for fast publication depends on many factors:

Submit Your Paper  / Check Publication Charges

• Check the publication fees as many of journal do fast publication of one week but they charge in more than 100 dollars. So that may turns to withdraw paper even after acceptance. Don’t get attract of Free words as they migh charge you after acceptance in the name of formatting, grammar error removal.
• Journal doing fast publication do have proper contact details hence leads to mislead the author and wait for the reply is the only option for the researcher. So it always be better that contact details like email, phone/mobile or even chat should be present.
• Publication in fast journal should be relevant to your field is also an important factor as irrelevant publication lead to data loss.
• Finally always cross check that publication in the journal is has 1 or 2 month of issue, continue as many of publisher doing even free publication but the journal has not doing it regularly.
• Check that publisher has valid ISSN with indexing information of the journal in other sites as both are international platforms hence data should be present on sites.
• Consult with your colleague and guide/supervisor as well. As publisher also work for the publication after paper submission.

In order to further reduce the publication time try to submit paper in journal format as this reduces the manpower requirement of formatting. Always in touch with publication customer care team for all set of stages. In case of digital certificates ask publisher in prior about it with charges if they are applying. Some of journals do not mention charges of number of authors, number page, number color pages charges, so do cross checks all before paper submission. Many of journals are doing fast and good work even they are maintain the quality as they have good reviewer team. Publication fees is not negative as publication house is private body and hence no financial support from any agencies, so they are bound to charge as they have to serve journal.

Published by: Neeraj Mishra

Tokenization for Text Analysis
Authors:Sowmik Sekhar

Abstract-The Seminar “TOKENIZATION FOR TEXT ANALYSIS” is an advanced tokenization technique that is a revolutionizing text analysis, enabling researchers to glean profound insights from vast textual data. This study explores diverse tokenization approaches, encompassing word-based, subword-based, character-level, and language-agnostic methods, with a particular emphasis on BERT integration for capturing language nuances. Striking a balance between granularity and computational efficiency is paramount for practical applications in sentiment analysis, information retrieval, and natural language processing, where processing massive datasets while preserving language intricacies is essential. The study addresses challenges posed by social media content with informal language and unconventional writing styles, unsegmented languages lacking defined word boundaries, and multilingual datasets demanding language-independent tokenization strategies. For large-scale text analysis, optimizing tokenization to minimize processing time while maintaining analysis performance is critical, making tokenization a viable approach for real-world applications. This research provides valuable insights into aligning tokenization methods with text data characteristics and analysis goals, ensuring granularity matches task requirements. Furthermore, the study envisions seamless integration of advanced tokenization techniques with emerging NLP technologies, enhancing text analysis efficacy across domains for knowledge discovery and informed decision-making. Subword-based tokenization approaches, such as Byte Pair Encoding (BPE) and Sentence Piece, effectively capture language nuances and improve the performance of NLP tasks on social media data and other text datasets with informal language and unconventional writing styles. These methods break down words into smaller units, enabling a more granular representation of language. For multilingual datasets and unsegmented languages with undefined word boundaries, language-agnostic tokenization methods, such as those based on characters or word embeddings, prove to be valuable tools. These methods overcome the limitations of language-specific tokenization approaches and effectively handle diverse linguistic structures, making them well-suited for cross-lingual applications.

DOI: 10.61137/ijsret.vol.10.issue1.127

Published by: vikaspatanker

Architectural Review of Client-Server Models
Authors:Mr. Geofrey Mwamba Nyabuto, Mr. Victor Mony, Professor Samuel Mbugua

Abstract-Client-server architecture is a distributed systems architecture where one or more client computers request resources from a server computer over a network. The client computers provide user-friendly interfaces through which users request resources from the server. In turn, the server receives one or more requests, processes them, and returns a response to the requesting client. The birth of this architecture led to the birth of many models and applications including the Internet, banking systems, and mobile cellular networks among others. This model enables multiple users to simultaneously access and use the same resource. This study used a systematic approach to review types of client-server architecture, comparing these types by pointing out their characteristics, advantages, and disadvantages. Through the Google search engine, articles were retrieved, reviewed, and analyzed. The study was able to note that each of the types of client-server architecture has its advantages and disadvantages as per implementation needs. Two-tier architecture works well in a small set-up where not many resources are available, and the implementation is not resource intensive. On the other end, n-tier architecture is suitable where a lot of resources are needed, and high processing speed is required.

DOI: 10.61137/ijsret.vol.10.issue1.126

Published by: vikaspatanker

Internet of Things Over head Conductor to Maximize a Small Hydropower Project’s Efficiency
Authors:Mahesh Shinde

Abstract- Smart buildings and towns quickly use IoT applications to save energy usage. Because of this development, there is presently a lack of understanding among professionals in the construction sector on how to utilize IoT to attain energy savings efficiently. An exhaustive overview of Internet of Things (IoT) applications for building and urban energy reductions is the goal of the research. By assisting professionals in the built environment in making use of IoT technology, this research contributes to the Internet of Things (IoT) area. This research reviewed the literature extensively to provide a comprehensive overview of the Internet of Things (IoT) and its potential ideas, models, applications, trends, and difficulties in the built environment. The results showed that experts in the sector don’t fully understand the technologies and how to use them, which makes it hard for them to create Internet of Things (IoT) plans for buildings and cities. When it comes to the Internet of Things (IoT) and its integration with the built environment, the research also discovered endless implementation and limitations. The report concludes with several important points and recommendations for moving forward with energy-efficient IoT implementation.

DOI: 10.61137/ijsret.vol.10.issue1.181

Published by: Kajal Tripathi

Authors: Research Scholar Thumane Anil, Professor Dr.Uttam Chand Gupta

Abstract: Freshwater systems surely play a key role in keeping nature balanced and supporting different living things. Moreover, these water bodies help meet important human needs like drinking water, farming, and fishing. Zooplankton work as main consumers in these systems and further connect phytoplankton to higher food levels. This connection itself helps maintain the food chain balance. As per their sensitivity to environmental changes, they work as good bioindicators regarding water quality. This study shows a complete review of research papers regarding zooplankton changes, seasonal differences, and water quality factors that affect freshwater systems. The focus is on how zooplankton helps in checking the health of water bodies as per ecological studies. As per the review, zooplankton groups like Rotifera, Cladocera, Copepoda, and Ostracoda show major seasonal changes regarding temperature, rainfall, nutrients, and water quality factors such as pH and dissolved oxygen. Summer seasons show higher zooplankton numbers due to increased nutrients and phytoplankton growth, whereas monsoon conditions further reduce these populations due to water dilution and turbidity itself. Winter seasons surely provide stable conditions that support moderate diversity. Moreover, these conditions remain relatively consistent throughout the season Moreover, physical and chemical factors of water surely control where zooplankton live and how many different types are found. Moreover, these parameters are considered the main drivers of zooplankton community patterns. Basically, changes in temperature, oxygen, and nutrients directly affect how these organisms survive, reproduce, and form the same community structures. The review actually shows that zooplankton are definitely good indicators for checking pollution and ecological problems in freshwater bodies. These small water animals can reliably tell us about environmental changes. Basically, the study found major research gaps – there are no region-specific studies, no combined biological and chemical analysis, and the same lack of long-term monitoring in freshwater reservoirs like Sathnala project in Telangana. The results definitely show that water quality management actually needs to include zooplankton studies for better conservation work. This review surely gives a complete picture of how zooplankton changes, seasonal patterns, and water quality are connected. Moreover, it shows why these connections are important for managing freshwater ecosystems in a sustainable way.

DOI: https://zenodo.org/records/20049071

Published by: vikaspatanker

Authors: Research Scholar Preetham Narote, Professor Dr.Pankaj Khairnar

Abstract: Emotion recognition has surely become an important field in artificial intelligence. Moreover, it helps make better communication between humans and computers through emotional computing. As per research findings, human emotions show through face expressions, voice, and written text, so single-method systems are not enough for correct recognition. Regarding emotion detection, multiple ways are needed for better accuracy. Further, as per the progress in deep learning, multimodal emotion recognition is getting much attention regarding its ability to combine different data sources. This study reviews the development of emotion recognition methods as per traditional approaches, machine learning, deep learning, and multimodal systems. The review covers different techniques regarding how emotions can be identified and recognized. The system actually focuses on attention-based fusion methods and adaptive learning that definitely improve performance. Basically, the review shows the same big problems like mixed data

DOI: https://zenodo.org/records/20049316

Published by: vikaspatanker