bluuebunny/crossref_metadata_2025 huggingface dataset:
Phân tích dao động phi tuyến có cản của hệ con lắc khối lượng có liên kết đàn hồi và chịu kích động tuần hoàn
Authors: Phạm Ngọc Chung
Published: May 2024

Trong nghiên cứu này, các tác giả phân tích dao động có cản của một hệ phi tuyến dạng con lắc – lò xo – khối lượng dưới ảnh hưởng của kích động ngoài tuần hoàn. Bằng cách sử dụng phương pháp cân bằng điều hòa để phân tích đáp ứng hệ, một phương trình bậc ba thu được cho phép xác định quan hệ giữa biên độ và tần số của hệ dao động. Đường cong biên độ - tần số thu được từ phương pháp giải tích được đánh giá so sánh với phương pháp số Runge-Kutta trực tiếp cho hệ phi tuyến ban đầu. Hai trường hợp hệ phi tuyến yếu và phi tuyến mạnh được phân tích chi tiết cho đường cong biên độ - tần số, từ đó dùng vào mục đích thiết kế hệ số cản cho hệ con lắc. Tác giả đưa vào khái niệm miền hữu hiệu cho thiết kế cản. Miền hữu hiệu là miền mà đáp ứng biên độ của hệ phải đảm bảo nhỏ hơn biên độ giới hạn thiết kế trên mọi điểm của miền tần số được xét. Các tác giả chỉ ra ảnh hưởng của đặc tính phi tuyến (yếu và mạnh) lên miền hữu hiệu và từ đó thu được lưới thiết kế cho hệ số cản phục vụ việc tham chiếu trong các thiết kế thực tế.
Students’ Perspectives on the Use of Teacher Questions to Promote Critical Thinking in EFL Classrooms
Authors: Truong Hong Ngoc
Published: May 2024

In the age of AI, critical thinking skills have proven indispensable for students to achieve a competitive edge and high employability. Theoretically, teacher questions play an important role in fostering this thinking ability during classroom interaction. In reality, nevertheless, classroom questions are predominantly low-cognitive, rarely paying way for any development of critical thinking. In this regard, the purpose of the study is to shed light on how students view the use of questions in developing critical thinking, and their perspectives on useful support to answer high-ordered questions. The study involved seventy English-majored students at Van Lang University. Given the purpose of the study, quantitative research was used to collect data about students’ perspectives through a questionnaire. The results showed that most students held positive attitudes toward using high-ordered questions, and they acknowledged the benefits these questions offer. In terms of suggestions, they highly valued a comfortable learning environment and group discussion as the most useful support.
Recognition and promotion of the great poet Abai Qunanbaiuly in China
Authors: Saishanhuli Wumuerjiang , Abdimanuly Omirkhan , Manafu Bahatiguli , Shaduahasi Ayiding
Published: May 2024

Relevance. Abai Qunanbaiuly is a great Kazakh poet, public figure and educator. The versatility of the work of the national poet and progressive thinker of the late 19th and early 20th centuries, the memory of which is maintained at the state level, influences the development and formation of modern intercultural dialogue between Kazakhstan and China.

Purpose. Abai Qunanbaiuly, the creator of the Kazakh literary language, is also a factor determining the cultural identity of Kazakhs, a significant part of whom live outside of Kazakhstan.

Methodology. Recognition and popularisation of Abai's creativity within the country have become especially relevant in the framework of the formation and development of the new Independent Kazakhstan. Migration processes of the 20th century led to large-scale resettlement of Kazakhs to the territory of Western China. The problem of ethnic authenticity for the population of the Kazakh population of China, which preserves its traditional culture, is extremely relevant both for the Kazakhs themselves and for China.

Results. The popularisation of Abai's heritage in China is a multifaceted and complex process related both to solving domestic political problems and establishing good-neighbourly relations with neighbouring Kazakhstan, which has embarked on the path of independence. This study identifies the main factors that influenced the process of popularisation and promotion of Abai Qunanbaiuly's creativity in China, and highlights the main directions of the process. The use of the comparative-analytical method and the method of systematisation made it possible to effectively organise the scientific search for material to solve the tasks.

Conclusions. The study not only identified and defined the main directions of popularisation of the creative heritage of the poet, but also attempted to determine the qualitative level of the popularisation process, which can be regarded at this stage as the beginning of the process of actualisation of the creative heritage of Abai Qunanbaiuly. The results of this study can be used to develop a strategy for further research in a given direction.
Methodological foundations of the continuity of teaching the physics course in the "school-university" system
Authors: Kuatbayeva Dana , Shuinshina Sholpan , Kazakhbayeva Danakul , Bitibayeva Zhazira
Published: May 2024

Relevance. The relevance of this study lies in the fact that ensuring the continuity of education plays an important role in the modernisation of the education system in the Republic of Kazakhstan and requires a detailed study of the updated content of physics lessons in the "school-university" structure. Purpose. The primary aim is to analyze the methodological foundations for ensuring continuity in physics education within the "school-university" system in Kazakhstan. This involves examining the educational standards and practices at both school and university levels to identify and implement effective methods for seamless educational progression. Methodology. The methodological basis of this study was formed by psychological, philosophical and pedagogical concepts of cognition of the educational process, and methodological foundations of physics and definitions of didactics, achievements and directions of theory and teaching methods of the modern physics course. Results. The study reveals a need for methodological adjustments in teaching physics to ensure a coherent educational trajectory from school to university. Key findings include the significance of developing educational programs that foster scientific thinking, adapt to students' physiological development, and incorporate modern technological advancements. The analysis also underscores the importance of interdisciplinary integration and the cultivation of critical thinking and problem-solving skills among students. Conclusions. The materials of this article can be used by teachers of universities of the Republic of Kazakhstan to prepare materials for teaching physics. The presented material may also be of interest to students in the direction of "Natural science disciplines" during preparation for seminars and practical classes that are preparing to teach physics as a science in the future.
Using semantic paradigms as tools for foreign language teaching: theory and practice
Authors: Mauitbekova Aisulu , Bulatbayeva Kulzhanat
Published: May 2024

Relevance. The relevance of the aforementioned study topic is motivated by the progressive activity of mankind in terms of the development of the information society, the growing demand for foreign language skills and the problem of learning a foreign language, as the large amount of information that needs to be assimilated certainly slows down this process.

Purpose. The purpose of this study is to evaluate the effectiveness of using semantic paradigms as tools for foreign language teaching; the existing developments that have been used to date and the results of their use.

Methodology. The methodological approach is based on an analytical study of the use of semantic paradigms (examples are given of the use of semantic frequency dictionaries to increase the efficiency and speed of learning a foreign language) as tools for foreign language learning.

Results. The main results that were obtained during the study can be considered: the evaluation of the effectiveness of the introduction of semantic paradigms and interaction with native speakers in the context of foreign language learning, the prospects of semantic paradigms in foreign language teaching among higher education representatives, along with the formed conclusions on how the use of semantic paradigms affects the quality of acquired knowledge.

Conclusions. The results of this scientific research, as well as the conclusions formulated during its conduct, are of the greatest importance for people who pursue the goal of learning a foreign language for personal and professional purposes and for foreign language teachers who may use effective, non-traditional teaching methods in their practice. Furthermore, psychologists whose work centres on science and theory can broaden the scope of their studies on the example of this investigation.
Methodological approaches to the development of linguistic personality: structure, formation ways, social and cultural components
Authors: Khamitova Makpal , Tymbolova Altynay , Kushkimbaeva Ainur , Sultaniyazova Indira , Esirkepova Gulmira
Published: May 2024

Relevance. The motivation to learn a language and form a new linguistic identity is more relevant than ever since languages, more and less spread, are the means of communication in the modern globalised world.

Purpose. The aim of the article was to outline the model of its formation, with the steps to achieve it, which include considering the structure of the phenomenon, recognising the ways of language identity formation, determining the approaches to its formation, and also to single out the important components.

Methodology. The study used the basic methods of knowledge: analysis and synthesis, induction and deduction, and general scientific methods: generalisation, abstraction, classification, modelling, structural method, and method of analytic and synthetic processing of information.

Results. The notion of linguistic personality has been defined, and approaches to describing its structure have been studied. It is pointed out that the development of linguistic personality is based on the specific structure of the concept of learning and the cultural potential inherent in it. An algorithm for the formation of a certain linguocultural type of linguistic personality is outlined, which supposes the allocation of conceptual, image-perceptual, and value aspects, and the presence of an important sociocultural component. It is highlighted that the basic element of the mentioned element is filled with ethnically specific components, defined as “the cultural potential of a linguistic personality”. It's also emphasised, that the theory of evolution of Kazakh linguistic personality needs to fill in its structural system characteristics, constructed on the basis of the results of the study of Kazakh linguistics.

Conclusions. The valuable content in ethnolinguistics, ethnopedagogy, history, culturology, etc., that preserves and enriches the Kazakh culture, is established, from where the material should be derived. The article is of interest to linguists, who study linguistic personality, culturologists, educators, and sociologists.
DETEK-AI: A Web-based Deepfake Detection System
Authors:   Department of Cyber Security Shah & Anchor Kutchhi Engineering  College Mumbai, India, Borade Dr. Shwetambari
Published: May 2024

AI-driven deepfake bots pose a serious risk to society, security, and trust, which necessitates the development of reliable techniques to detect and mitigate their threat, as their proliferation leads to disinformation, deceit, and harm. Deepfake detection systems can improve cybersecurity, safeguard digital identities, mitigate misinformation, protect reputations of individuals and organizations, assure ethical use of AI technology, empower people and organizations, support regulatory efforts, and contribute to a safer digital ecosystem. Detek AI is a frontrunner in innovative technology aimed at combating deepfake content, safeguarding individuals and organizations from misinformation, and upholding the integrity of online platforms. Keyword— Deepfake Technology, Deepfake Detection, Convolutional Neural Networks, Artificial Intelligence bots, Machine Learning Artificial Intelligence, Face Morphing Detection, Deep Learning, Benford’s Law.
Student Study Portal
Authors:   CSE CHANDIGARH UNIVERSITY, Kumar Lalit
Published: May 2024

Student Portal Project is an online learning management system developed using Python, Django, HTML, CSS and JavaScript. It simplifies the attendance and grading process, integrates data storage and increases the efficiency of the application process, while ensuring effective communication between teachers and students. Security is paramount and sensitive information is protected. It has been redesigned and complies with industry standards for scalability, stability and security. It offers flexible solutions to make things more efficient and clearer when it comes to absenteeism and lack of grading in schools. Keywords : Learning Management, Enrollment Management, Grade Management, Enrollment Processing, Web Based Systems, Python, Databases, Schools.
Design and Development of Bamboo Straw Making Machine
Authors:   Professor, Pillai College of Engineering, New Panvel, Maharashtra, India, Thokal Dr. Gajanan
Published: May 2024

A bamboo straw-making machine is a device that automates the process of making bamboo straws. It is designed to efficiently produce high quality, eco-friendly straws from bamboo material. The machine typically starts by cutting bamboo stalks into smaller pieces, then shaping them into thin tubes and polishing them to achieve a smooth surface. Some machines can produce straws with different diameters and lengths, while others come with additional features such as labelling, sterilizing, and packaging. With a bamboo straw-making machine, manufacturers can mass-produce bamboo straws with consistent quality and reduce reliance on manual labour. This technology enables the production of large quantities of sustainable straws to meet the increasing demand from businesses and individuals looking for ecofriendly alternatives to plastic straws.
ROBUST LEARNING AND ACCURATE PREDICTION OF WIRELESS TRAFFIC USING IMPROVED NEURAL NETWORK
Authors:   Computer Science and Engineering  Sri Manakula Vinayagar Engineering College(SMVEC)  Puducherry, India, S PRATHEESH MALU
Published: May 2024

The proposed system introduces a novel Deep Metric Algorithm as a cornerstone for enhancing the feasibility and optimality of network traffic prediction within the dynamic landscape of cloud technologies. The Deep Metric Algorithm is designed to operate as a physically interpretable probabilistic model that captures network-wide traffic patterns. Unlike traditional methods that rely solely on current traffic states observed at specific intervals, this algorithm leverages an initially expensive set of measurements to construct a network-specific traffic model.The algorithm's innovation lies in its ability to utilize this network-specific model alongside readily available, less expensive measurements, thereby significantly improving the accuracy of traffic predictions. By employing the Deep Metric Algorithm, the system can predict traffic fluctuations not only over observed links but also extend its predictions to unobserved links. This is a crucial advancement as it enables the system to offer more comprehensive insights into network behavior, even where direct measurements might be limited.One notable strength of the proposed Deep Metric Algorithm is its demonstrated applicability across various traffic periods within the same network. This adaptability ensures that the learned model remains effective over time, showcasing its potential utility in optimizing network performance as it evolves. The algorithm's predictive capabilities, coupled with its ability to adapt to changing network conditions, position it as a valuable tool for load-aware resource management and predictive control, thereby contributing to the efficient management of multi-provider networks in the evolving cloud landscape. KEYWORDS: Quality of Service (QoS), network traffic, accurate predictions, network-specific traffic model, Deep Metric Algorithm.
Barriers and Challenges of Sustainable Logistics in Automobile Industry
Authors:   ROORKEE INSTITUTE OF TECHNOLOGY, PUHANA ROORKEE, AFFILIATED TO VEER MADHO SINGH BHANDARI UTTARAKHAND TECHNICAL UNIVERSITY, DEHRADUN, Maurya Mohit
Published: May 2024

Study Background and Objectives The automobile industry is a significant contributor to global environmental concerns. Vehicle production, transportation, and end-of-life management all have substantial environmental footprints. Sustainable logistics practices offer a path towards a greener future for industry. However, implementing these practices faces numerous challenges. This study aims to investigate the barriers and challenges hindering the adoption of sustainable logistics practices within the automobile industry. The specific objectives are: · To identify the key barriers faced by automobile manufacturers and their logistics partners in implementing sustainable practices. · To analyse the impact of these barriers on the environmental performance of the industry's logistics operations. · To develop recommendations for overcoming these barriers and promoting sustainable logistics practices within the automobile sector. Research Design This study employs a literature review methodology to analyze existing research on the barriers and challenges of sustainable logistics in the automobile industry. Relevant academic journals, conference proceedings, and industry reports are reviewed to identify key themes and insights. · Conduct a systematic and comprehensive review of relevant academic journals, industry reports, and government publications. · Utilize appropriate search engines and databases to identify relevant literature. · Analyse the collected data to identify key themes, trends, and research gaps. · Synthesize the findings to provide a comprehensive understanding of the barriers and challenges of sustainable logistics in the automobile industry. Major Findings The study reveals a growing consumer interest in the auto industry's commitment to sustainability. While price, performance, and safety remain significant purchase factors, a significant portion of consumers consider a car manufacturer's environmental practices when deciding. However, a knowledge gap exists, with many consumers lacking awareness of the environmental impact of traditional logistics practices. The research also highlights the importance of collaboration between car manufacturers, logistics companies, and policymakers in achieving significant progress towards sustainable practices. Standardized sustainability metrics and government incentives are seen as crucial factors for long-term success.
MOUSE AND KEYBOARD MOTION SENSING USING HAND SIGNS
Authors:   Department of Information Science and Engineering  Atria Institute of Technology Bangalore, Karnataka, India, M L Mrs. Asha
Published: May 2024

The project presents a way for Human- Computer Interaction (HCI) that employs a web camera or an integrated camera to control the movement of the indicator instead to the current methods, which typically involve manually entering buttons or altering the positions of a physical mouse. Instead, it can perform the functions that a physical computer mouse does, and it does it through camera and technology for computer vision to manage different mouse events. The Virtual Mouse color recognition application constantly acquires real-time image data and processes it using several filtering and conversion phases. The application utilizes an image processing technique to obtain the coordinates of the desired colors that have emerged within the frames holding a list of color combinations, each of them correlates to a different mouse function. The program will run the mouse function and transform it to an actual mouse function which will be able to applied on the user’s PC if the current color combination passes. The main aim of the project is to virtually interface with the system in virtually every manner imaginable. Keywords: Gesture Recognition, Human Computer Interactions, Graphical User Interface, Open-Source Computer Vision.
JAVA BASED FIRST-PERSON SHOOTER (FPS) GAME WITH REMASTERED GRAPHICS
Authors:   Assistant Professor of the Department, Department of Information Technology, Rajiv Gandhi Institute of Technology, SK Prof.Sabnis
Published: May 2024

Our project aims to accurately examine an old game's assembly source, comprehend its usefulness, and convert it into efficient Java code. Using Java's object-oriented characteristics, the emphasis is on restructuring and organizing code to make it more maintainable and comprehensible. The successful conversion of this game to Java demonstrates how knowledge of low-level assembly programming can supplement skill in high-level Java programming, resulting in a smooth integration of traditional gameplay with current technology. This integration not only heightens perceptions but also makes the game more accessible to modern audiences, providing an immersive gaming experience that combines the game's original character with contemporary software development standards. The enhanced graphics will also include upgrading game elements including textures, models, and special effects. The enhanced graphics will include improved game assets like textures, models, and special effects, as well as advanced lighting and shading effects. In addition, the game's user interface will be updated to increase use and appearance. The project's goal is to demonstrate the integration of classic FPS gameplay with contemporary graphics technology, providing players with an enhanced gaming experience that combines the recollections of old FPS games with the visual quality of modern gaming. Key Words: - Java programming, game development , FPS game, graphics.
Web Development for Bank Statement Analysis: Technologies, Challenges, and Innovations
Authors:   Computer Science and Engineering  Sandip University Nashik, Mhatre Nayan N.
Published: May 2024

The purpose of this project is to fulfill the requirements of a bachelor’s degree in Cloud Technology and Information Security. The project aims to design and develop a Bank Statement Analysis system that provides a more secure approach to managing bank customers' statements, strengthening the relationship between banks and their customers by offering solutions with multi-level security to improve customer satisfaction. Methodology The project utilizes a range of technologies, including: · Python Flask Framework · Computer Vision (Google's Tesseract OCR) · PDF to Image Python package (pdf2image) · Machine Learning (Scikit-Learn) to predict transaction categories · Azure SQL Database to store transaction data and user login details · Power-BI for data visualization · Docker and AWS EC2 for service hosting. Findings The Bank Statement Analysis system developed in this project offers a secure and efficient solution for managing bank customers' statements. The use of multi-level security measures, such as Azure SQL Database and Power-BI visualizations, enhances the overall security and user experience, strengthening the relationship between banks and their customers. Conclusion This project demonstrates the successful design and development of a Bank Statement Analysis system that leverages various technologies, including cloud computing, computer vision, and machine learning, to provide a more secure and user-friendly solution for managing bank customers' statements. Keywords Azure SQL Database, Power-BI Tool, AWS EC2 Service
AUTOMATIC LABORATORY LIGHTING SYSTEM WITH AN INFRARED BASE
Authors:   Department of CSE HOD, Dhanalakshmi Srinivasan Engineering College, Perambalur, R Dr..GOPI
Published: May 2024

The "Infrared-Based Automatic Laboratory Lighting System" represents a novel way to improve energy efficiency and stoner comfort in lab environments. Conventional laboratory lighting systems often warrant rigidity and efficacy, leading to unnecessary energy usage and inadequate lighting. In order to overcome these obstacles, this design incorporates a smart lighting control system that uses infrared (IR) detectors to identify the presence of mortals inside the laboratory. The primary operation of the system entails placing IR detectors in strategic locations across the lab space. These detectors monitor individuals continuously and relay the data they find to a central control unit that is based on a microcontroller platform. The control unit initiates the activation or adaptation of lighting institutions in the vicinity of detected movement upon detection of a mortal presence. This guarantees that the lighting is optimized for continuous conditioning, providing suitable lighting while reducing energy waste during periods of unoccupied occupancy. Crucial features of the proposed system include real-time responsiveness and rigidity to varying residency patterns. The integration of IR detectors with the microcontroller-grounded control unit enables a nippy and accurate discovery of mortal presence, allowing the system to acclimate lighting situations instantly as individuals enter or leave the laboratory space. Additionally, the system can be configured to generate lighting configurations based on particular circumstances, including ambient lighting for common spaces or task lighting for lab workstations. Apart from enhancing energy efficiency, the method places emphasis on the safety and experience of stoners. The technology lowers the risk of accidents or crimes related to dim illumination by providing appropriate and safe lighting conditions that are tailored to the functional needs of the laboratory. Similarly, the automation of lighting control eliminates the need for handcrafted solutions, allowing laboratory workers to focus on research or experimentation. All things considered, the "Infrared-Based Automatic Laboratory Lighting System" provides stoner-friendly and environmentally friendly outcomes to improve lighting operations in laboratory settings. By promoting energy conservation, perfecting the stoner experience, and ensuring safety, this system contributes to the advancement of effective and sustainable practices in laboratory operations. Keywords: LED (light emitting diode), microcontroller, Internet of Things, sensors, relay mechanism, and LCD (liquid crystal display).
Automatic Temperature Controller with Cooling System
Authors:   Student of Mechanical Engineering Department, Nadimpalli Satyanarayana Raju Institute of Engineering and Technology (Autonomous), Visakhapatnam – 531173., BHASKAR D UDAY
Published: May 2024

This project focuses on the design and implementation of an automatic temperature controller integrated with a cooling system. The system is designed to maintain a predefined temperature range within a specified environment, providing efficient cooling when necessary. The automatic temperature controller utilizes sensors to continuously monitor the ambient temperature and compare it with the setpoint temperature. Based on this comparison, the controller activates the cooling system to regulate the temperature within the desired range. The cooling system employs a combination of methods such as air cooling, liquid cooling, or thermoelectric cooling, depending on the application requirements.
AI- POWERED BASED BLIND AND VISUALLY IMPAIRED SYSTEM FOR SMART GLASS
Authors:   Assistant Professor, Dept. of CSE Dhanalakshmi Srinivasan Engineering College (Autonomous)  Perambalur, Tamilnadu, India, SR Sowmiya
Published: May 2024

Visual impairment causes serious problems in daily life and mobility for millions of people worldwide. Against this background, smart assistive technology is gaining momentum to improve the independence and quality of life of the blind and visually impaired. They have difficulty in daily life because they cannot detect the problems around them, and one of their biggest problems is identifying people. Besides automation, there are many unexplored uses of search engines. This project includes an app that uses search to help blind people see things in front of them safely, and a facial recognition system with visual feedback that can help visually impaired people see familiar and unfamiliar people. The speaker will provide them with sound support. In this work, we use deep learning-based Regional Convolutional Neural Network (Faster R-CNN) to detect and identify people and objects in the environment. Faster local convolutional neural network technology processes and distributes images captured by cameras. The operator takes the image as input. Therefore, this model helps visually impaired people in a simpler way than a white cane. Keywords—Visuallmpairment,Objectdetection,Faster Region Convolutional Neural Network.
MODELING AND INJECTION ANALYSIS OF EXHAUST FAN
Authors:   Guru Nanak Institutions Technical Campus, Hyderabad, India, V Mr. Gopal
Published: May 2024

An exhaust fan is a device that uses undesirable odors , particulate, dust moisture and other pollutants that may be present in the air to control to indoor environment . Exhaust fans can also be integrated into heating and cooling system. These fans are typically very easy to install, so they can also installed in many other location. Users need a few tool for installization and they have work easily with electricity. This project involves modelling of exhaust fans, using solid works and analysed injection moulding procedure of exhaust fan using ansys software. Exhaust fan and casing material selected as ABS (Acrylonitrile Butadine Styrene) plastic material instead of stainless steel. It has been studied flow pattern, filling time , pressure and temperature of exhaust fan moulding. Keywords: ABS (Acrylonitrile Butadine Styrene) plastic material, solidworks, Injection Modeling
SMART CAMPUS BOT
Authors:   UG student Dept. of Electronics and Computers Engineering Sreenidhi Institute of                science and Technology,Telangana,India., SahithiSriya Ballem
Published: May 2024

A chat-bots aims to make a conversation between both human and machine.The machine has been embedded knowledge to identify the sentences and making a decision itself as a response to answer a question. Chat-bots will becompletely based on a text-based user interface, allowing the user to type commands and receive text as well as text to speech response.Chat-bots are usually stateful services, remembering previous commands in order to provide functionality. It can be utilized securely by an even largeraudience when chat-bots technology is integrated with popular web services. The college inquiry chat-bots will be built using artificial algorithms that analyze user's queries and understand user's message.The response principle is matching the input sentence from a user. The User can ask the question any college-related activities through the chat-bot without physically available to the college for inquiry. The System analyses the question and then answers to the user. With the help of artificial intelligence, the system answers the query asked by the students. The system replies using an effective Graphical User Interface as if a real person is talking to the user. The user just has to register himself to the system and has to login to the system. The chatbots consists of core and interface that is accessing in the Telegram by Ngrok. Natural language processing technologies are used for parsing, tokenizing, stemming and filtering the content of the complaint. Keywords— “Anaconda Prompt”,“College System,“Placement Information”, “Python”, “Rasa”, “Telegram User Interface”
Automated Plant Disease Detection Using Deep Learning
Authors:   Associate Professor, Department of Computer Science and Engineering, Gayatri Vidya Parishad college of Engineering for Women, Visakhapatnam, Andhra Pradesh, India., Bebarta Dr. Dwiti Krishna
Published: May 2024

Traditional methods of diagnosing plant diseases are mainly based on expert diagnosis which easily causes delay in crop disease control and crop management. Due to the problems of many target areas and similar target types in the process of plant disease detection, the identification accuracy and speed are required to be high. Therefore, it is necessary to optimize and improve the existing methods (CNN, RCNN, Fast RCNN, Faster RCNN, and SSD) to meet the detection needs. So, we came up with a deep learning-based approach to identify the plant leaf diseases and classify the diseases using an object detection model called YOLO. There are different versions of YOLO, proposed in recent times, in that YOLOv5 model is considered one of the best models and the other is the recent version, YOLOv8 which was proposed in 2022. So, in this paper we compared the two models of YOLO, YOLOv5 and YOLOv8 on the same dataset, and found that for the dataset used the YOLOv5 model was found to be the better model with a mAP of 0.641, while the YOLOv8 model has mAP of 0.516. This study proposes that the YOLOv5 model is suitable for plant disease identification tasks by comparing it with the latest version of the YOLOv8 model which was proposed in 2022. To make the YOLO model to be better it can be optimized and the transfer learning ability of the model can be used to expand the application scope in the future. Keywords— Deep Learning, CNN, RCNN, Fast RCNN, Faster RCNN, SSD, YOLO, mAP, Transfer Learning, Disease Classification, Detection.
IMPLEMENTATION OF VOTING SYSTEM USING BLOCKCHAIN TECHNOLOGY
Authors:   Info Institute of Engineering, Coimbatore, P.D.R Dr. .VijayaKumar
Published: May 2024

In the era of digital transformation, traditional methods of conducting college elections face challenges such as logistical inefficiencies, limited participation, and a lack of transparency. To address these issues, we propose the development of an online voting system leveraging blockchain technology for college elections. This project aims to modernize the election process by providing a secure, transparent, and accessible platform for selecting student leaders. By harnessing the immutability and transparency of blockchain, the system ensures the integrity of the voting process, enhances voter participation, and promotes democratic values within the college community. Through this initiative, we aspire to empower students to actively engage in shaping their college governance and foster a culture of transparency and accountability.
A Survey on Challenges and Solutions of Traffic Surveillance Systems in IoT-Enabled Eco System
Authors: Prajapati Mahesh A.
Published: May 2024

Computer vision is crucial in the development of numerous technologies for traffic safety. Here we present survey paper which focuses on the basic idea of Traffic Surveillance techniques used for its detection. Now days we can see that manually traffic monitoring becomes very critical task. Several research projects have been carried out to convert this manual system to fully automated. It will help us to easily track a vehicle. A computer network's availability and smooth functioning are the main goals of network traffic monitoring. In this work, we explore a variety of traffic monitoring approaches, including congestion detection, traffic light control algorithms, cloud computing design for vehicle data classification, and fog computing design for vehicle data classification. Key Words: Internet-of-Things, Cloud computing, Fog computing, Smart traffic monitoring
RESEARCH ON THE PERFORMANCE OF WASTE HEAT RECOVERY FOR THE THERMOELECTRIC POWER GENERATION
Authors: Mohan Surya Kumar
Published: May 2024

Non-renewable energy resources, which account for about 85% of worlds’ energy (68% fossil fuels are used for electric power generation), are getting exhausted rapidly. As predicted by the Institute of Sustainable Energy Policies, by the year 2050, only 33% of non-renewable energy resources will be available for electric power generation. Hence, to meet the required demand, the remaining 67% has to be replaced by renewable energy sources. This demand in electric power generation has to be met by a pollution free, low-cost, clean energy resource, which is the need of the hour. The present research targets towards two main applications for generating power using the biomass energy based resources. They are domestic based application – burning biomass wood and utilizing the heat for generating power, industrial based application – combustion of gasified de-oiled Pongamia cake and utilizing the heat energy for generating power. Key Words: TEG, SEEBECK EFFECT, ENERGY CONVERSION
ANALYSIS OF NOYYAL RIVER AND ITS POTENTIAL FOR IRRIGATION USING PHYTOREMEDIATION
Authors: Azarudeen AR Mohammed ,
Published: May 2024

The Noyyal River, a vital water source in India, faces contamination challenges affecting its suitability for irrigation. This study explores the potential of phytoremediation, specifically using Aloe Vera plants, to purify the river water. Aloe Vera is known for its ability to absorb pollutants and improve water quality. Through a series of laboratory experiments and field observations, the efficiency of Aloe Vera in removing contaminants from Noyyal River water was assessed. Preliminary findings indicate promising results, suggesting that Aloe Vera could be a sustainable and cost-effective solution for enhancing the river's water quality and making it suitable for irrigation. Further research and implementation of phytoremediation strategies using Aloe Vera could play a significant role in restoring and maintaining the ecological balance of the Noyyal River ecosystem. Keywords: Noyyal River, phytoremediation, Aloe Vera, water quality improvement.
Diagnosis and Management of Hypertension in Obese Children
Authors: Jefry
Published: May 2024

The prevalence of hypertension in overweight and obese children is 14% and 33%, respectively. Additional information such as age, gender, and height needed to define hypertension in children. In addition, blood pressure measurement in obese children faces many challenges. Therefore, the diagnosis of hypertension in obese children needs to be carefully considered. Body weight reduction through diet management and physical activity remain the main management strategy for hypertension in obese children. Persistent hypertension after 6-12 months despite a healthy lifestyle needs additional medication.
Prevalence and Characteristics of Penile Cancer in Karangasem Regency, Indonesia, 2020-2022
Authors: Kurniawan I Putu Adi , Suyandnya I Made
Published: May 2024

Background: Indonesia reported 1,143 penile carcinoma cases from 2004 to 2013. Bali reported the highest age-standardized incidence rate (ASR) in 2004-2013. Method: A quantitative descriptive retrospective study was conducted at Karangasem General Hospital and Balimed Karangasem Hospital. Results: This study involved 29 patients diagnosed with penile cancer in 2020-2022. The highest number of cases was found in 2020. Most cases were in the 60-69 year age-group (34.5%), with a low educational level (75.9%), a smoking habit (75.9%), no history of circumcision (100%), and squamous cell carcinoma (86.2%). The treatment was mainly partial penectomy (41.3%). Conclusion: The study found that the highest prevalence of penile cancer was 6.02 per 100,000 people in 2020.
Desain dan Implementasi Program Sentra Vaksin Coronavirus Disease (COVID-19) Di Universitas Islam Sultan Agung Semarang
Authors: Yuliyanti Suryani , Listiarini Dian Ayu , Rahayu  , Gunawan Robby
Published: May 2024

Pemerintah kota Semarang bekerja sama dengan berbagai universitas untuk menyelenggarakan program percepatan vaksinasi COVID-19 bagi masyarakat Kota Semarang, sebagai upaya menghentikan penyebaran virus COVID-19 yang sedang meningkat. Artikel ini bertujuan untuk menjelaskan proses perencanaan dan implementasi program sentra vaksin Universitas Islam Sultan Agung (UNISSULA). Metode artikel ini menggunakan pendekatan kualitatif dan studi kasus yakni pengabdian masyarakat dilakukan dari perencanaan hingga pelaksanaan vaksinasi COVID-19 dalam program “sentra vaksin UNISSULA”. Program ini dilaksanakan di gedung auditorium UNISSULA bagian civitas akademika UNISSULA, pengabdi Yayasan Badan Wakaf Sultan Agung (YBWSA) dan masyarakat sekitar UNISSULA pada 5 Juli sampai dengan 10 September 2022 jam 08.00 sampai jam 12.00 WIB. Hasil kegiatan menujukkan bahwa program sentra vaksin berhasil memberikan vaksinasi COVID-19 dosis 1 dan 2 sejumlah 22,061 dengan rincian: vaksin 1 sebanyak 11.512 dosis, vaksin 2 sebanyak 10.549 dosis. Pelaksanaan pengabdian masyarakat tersebut bertujuan membantu peningkatan capaian angka vaksinasi COVID-19 di kota Semarang sebagai upaya memutus rantai penyebaran penyakit COVID-19.
Implementation of Hospital Information System in Psychiatry
Authors: Sadia Arshad  , Muhammad Rizwan  , Hafsa Aijaz  , Muhammad Fahad Shamim  , Muhammad Wasim Munir
Published: May 2024

Considering the growing awareness and acceptance towards mental health, the COVID-19 pandemic opened new windows to incorporate technology into psychiatry. With reduced hospital visits and social distancing being the new normal implementation of the Hospital Information System (HIS) for secure and easy data storage or transfer, the record of multiple hospital areas has become necessary. Mental health is still taboo in developing countries like Pakistan; therefore, developing a HIS system for psychiatry must be taken forward with high data security. This article proposes a HIS system built for psychiatric clinics or therapy centres on a cloud-based platform to make it cost-effective for low-medium income countries like Pakistan. A survey was conducted to determine the feasibility of this proposal in which 70 people participated through an online platform. Results were analysed using SPSS 26.0, which concluded that 81.4% of the respondents agreed on implementing HIS into psychiatric clinics, while 12.9% of respondents were unsure.
Piezoelectric energy harvesting interface with fast open-circuit voltage sampling
Authors: Kim Hyeon-Joong , Yu Chong-Gun
Published: May 2024

This paper presents a piezoelectric energy harvesting interface with fast open-circuit voltage (VOC) sampling and a wide operating frequency range. The fractional open-circuit voltage (FOCV) method is the primary method for maximum power point tracking (MPPT) in energy harvesting systems, due to its easy implementation and relatively low cost. For this method to be efficient, it is necessary to shorten the time required for VOC sampling. To minimize power loss due to VOC sampling, a novel technique is proposed that is capable of sampling the VOC within a time shorter than half a cycle by using an adaptive tracking pulse instead of conventional fixed ones. We also present a peak detector design technique that can operate across a broad frequency spectrum and adapt to diverse vibration scenarios. The proposed technique reduces the duty cycle of the tracking pulse to 0.42%, which is 3.7 times smaller than the conventional 1.56%. The proposed circuit, designed using a 0.35μm complementary metal oxide semiconductor (CMOS) process, consumes just 94nA at 100Hz, 3V VOC, and a 1kΩ load. In a 2~4V VOC range and a 15~500Hz frequency range, the MPPT efficiency exceeds 95%, peaking at 99.9%, and the power efficiency remains over 93%, reaching a maximum of 97.7%.
De beeldvorming van mensenhandel in het Nederlandse politieke debat
Authors: Donninger Daan , de Vries Ieke , Ras Ilse , van Meeteren Masja
Published: May 2024

The framing of human trafficking in Dutch political debates

Combatting human trafficking has been an international priority for decades. Since the adoption of the United Nations Protocol to Prevent, Suppress and Punish Trafficking in Human Beings in 2000, tackling various forms of exploitation, including sexual exploitation and labor exploitation, has been on the political agenda. Yet, international research shows that the sexual exploitation of women and minors and a criminal justice system approach to human trafficking are still the focus of political and public debates. Recent policy developments in the Netherlands seem to have a broader focus, in part because of the introduction of the ‘Together against Human Trafficking’ program by the Dutch government in 2018, which aims to strengthen anti-trafficking measures through an integrated cooperation between various stakeholders in addition to police and prosecution. The purpose of this article is to determine to what extent the political framing of human trafficking in the Netherlands differs from the international focus. To that end, this article applies the literature on framing to a qualitative content analysis of parliamentary debates during the 2018-2019 meeting year. The results show that the political framing of human trafficking in the Netherlands deviates little from an internationally dominant ‘crime frame’. This concerns a framework within which human trafficking is mainly depicted as a malicious (and organized) crime, in which particularly women and minors are sexually exploited, and a criminal justice approach to exploitation is proposed. Holding onto this traditional portrayal and approach to human trafficking can have adverse consequences for a holistic approach to human trafficking, which should also address other forms of exploitation and victims.
Effect of Different Levels of Nitrogen on Growth, Yield and Productivity of Wheat (Triticum estivum L.) Cv. Koshan-02
Authors: Popal Mohammad Hasham , Malakzai Mohammad Yar , Sandakhil Soorgul
Published: May 2024

The field experiment was conducted to study the effect of different levels (0, 50, 70, 90 & 110 kg N ha-1) of Nitrogen (N) on growth, yield and yield related parameters of wheat (cv. Koshan-02) in Kabul agro-climate condition at the Agricultural Research Farm of Kabul University, during spring 2020-21. The experiment was laid out in Randomized Complete Block Design (RCBD) with three replications, each replication consisted of five treatments. Total treatments were (15). The size of each plot was (2mx3m=6m2). The result of our study revealed that the plots treated with highest level (110 kg N ha-1) of N fertilizers produced the highest plant height (85.97cm). maximum number of grains spike-1 (35.74), the highest dry matter (3.937t ha-1), The highest number of tillers m-2 (152.76 m-2), 1000-grain weight (48.94g), grain yield (2891.1kg/ha) large spike length (10.52), number of grains spikelet-1 (2.98), Spikelet number spike-1 (11.54), followed by T4, T3 and T2. It was concluded that all treatments have ranked regarding their efficient effects as ((T5 (110 kg N ha-1> T4 (90 kg N ha-1> T3 (70 kg N ha-1> T2 (50 kg N ha_1> TControl) for all growth, yield and yield helping attributes such as plant height, number of grains spike-1, dry matter (kg ha-1), number of tillers plant-1, 1000-grain weight(g), grain yield (kg ha-1), spike length (cm), number of grains spikelet-1, number of spikelet spike-1, spike number m-2 and number of leaves plant_1. So, for obtaining aimed and desirable yield the application of (110 kg N ha-1) is recommended under research area conditions (Agro-Climatic Condition).
PENINGKATAN KREATIVITAS MENGGAMBAR MELALUI POLA BENTUK (SHAPE)
Authors: Hidayati Nurul , Permata Rista Dwi
Published: May 2024

Berdasarkan laporan hasil studi maupun survey teramati masih ada permasalahan yang ditemukan ketika kegiatan menggambar, diantaranya adalah proses anak belajar menggambar diberikan secara bebas, hingga siswa menjadi kesulitan menggambar sesuai obyeknya. Banyak metode atau teknik yang dapat dipraktekkan guru memotivasi agar siswa bisa meningkatkan kreatifitasnya membuat gambar menjadi sebuah bentuk gambar yang serupa dengan obyeknya.
Metode yang cocok untuk digunakan peneliti adalah class actionresearch atau penelitian tindakan kelas yang berjudul “Upaya peningkatan kreativitas dalam menggambar melalui pola bentuk (shape)”. Pelaksanaan penelitian ini di lembaga DC-PG-TK Plus At Taqwa Brondong Lamongan, tahun pendidikan 2018/2019, dengan menggunakan sample atau subyek penelitian adalah Kelompok B2/kelas Al Muqiit.
Setelah dilaksanakan penelitian yang terdiri  2 siklus dan mencapai kenaikkan serta peningkatan hasil prosentase dicapai adalah 55.55% menjadi 92. 59%, maka dari itu kegiatan menggambar yang memakai metode pola bentuk (Shape) bisa meningkatkan kemampuan menggambar pada anak, bisa menumbuhkan motivasi dan antusias anak, kreativitas menggambar anak bisa meningkat.