bluuebunny/crossref_metadata_2025 huggingface dataset:
Research on Optimal Portfolio Based on the Markowitz Model
Authors: Zhu Weixuan
Published: April 2024

This paper studies the Markowitz investment theory model. The study examined a portfolio of three companies - the Coca-Cola Company, McDonalds Corporation, and Apple Inc. This paper calculates the expected returns and the standard deviations of the Coca-Cola Company, McDonalds Corporation, and Apple Inc., respectively. In this paper, the expected return is used to measure the value of securities, and the standard deviation is used to measure the risk of securities, studying the development of three companies stocks. At the same time, the relationship between the Coca-Cola Company, McDonalds Corporation, and Apple Inc. is discussed using covariance and correlation coefficient. Next, using the Markowitz investment theory model, one can draw the effective frontier of the investment portfolio and prove that all of the risk-return portfolios on the efficient frontier are the portfolios that can get the highest return with the fixed risk. Then, combining the efficient frontier and indifference curve, simulate a rational investor with a special risk appetite and a special expected return, verify the tangential point of the indifference curve, and this tangential point is the optimal proportional portfolio for this specific rational investor of these securities.
Restriction on Foreigners Employment Violates the Principles of Equality and Non-discrimination From the Perspective of Thailand Foreigners Working Management Emergency Decree
Authors: Ou Yingtong
Published: April 2024

Thailand Foreigners Working Management Emergency Decree has stipulated 27 occupations prohibited for foreign workers, substantially differentiating Thai national workers from non-Thai national workers. Restriction on foreigners employment not only infringes on the non-Thai workers right to choose their employment freely but also violates human rights centered on the principles of equality and non-discrimination. Since employment discrimination has been regulated in relevant international treaties, basic methods for judging discrimination issues are gradually derived. Besides, the research on the Proportionality Principles has continued to deepen in practical and theoretical fields. By combining the Proportionality Principles with the method of judging discrimination in national law, the legitimacy and rationality of legislation can be quantitatively determined. Based on this, it is found that although Thailands decree restricting the employment of alien workers is stipulated to protect the employment of Thai nationals, its differential regulation ignores the sub-principle of necessity of means in Proportionality Principles. Hence, Thailands decree lacks objectivity and rationality, violating the principles of equality and non-discrimination under international law.
The Ramsey Model's Insight on Long-Term Growth Amidst Brexit and the COVID-19 Pandemic
Authors: Huang Yuqi
Published: April 2024

This paper critically examines the Ramsey model's role in elucidating long-term economic growth amidst significant exogenous challenges like Brexit and the COVID-19 pandemic. It dissects the model's core principles, including constant returns to scale, knowledge spillover effects, innovation benefits, and the pivotal role of saving and investment in driving endogenous growth. The study delves into the model's mathematical structure, emphasizing the dynamics of consumption, capital accumulation, and the equilibrium paths crucial for stable economic progression. Additionally, it contrasts theoretical predictions with real-world data, particularly analyzing the UK's GDP trends post-Brexit and during the pandemic. The paper scrutinizes how these events influence trade, knowledge transfer, and public health and technology investment, and evaluates the influence of public policy on long-term growth, focusing on aspects like research and development funding, public goods provision, and tax system structuring to foster investment. Ultimately, this paper aims to enhance understanding of the Ramsey model's ability to address the complex interplay between endogenous mechanisms and external factors in shaping economic development trajectories.
Impact of Short-Term Expansionary Monetary Policy on the Economy Based on the Keynesian ModelChinas Monetary Policy in the Post-Epidemic Era as an Example
Authors: Zhang Xingjian
Published: April 2024

China has entered the post-epidemic period since 2023. The monetary policy of the central bank is crucial in controlling China's macro economy in light of the three-year impacts of the pandemic of coronavirus disease 2019(COVID-19) and the present downturn in the country's GDP. The People's Bank of China, the nation's central bank, has been implementing expansionary monetary policy on the overall economy. Using the Keynesian theoretical model, this article primarily examines the short-term impacts of expansionary monetary policy, or an increase in the nominal money supply, on the real income of Chinese individuals, the total production of the nation's economy, and interest rates. The analysis concludes that an expansionary monetary policy can decrease interest rates and increase real income and total production for citizens in short term. The Keynesian model provides a theoretical perspective on the relevance of the central bank's expansionary monetary policy based on the status of the economy today.
The Impact of Demographic Change on Consumer Market and Production Sectors in China
Authors: Yin Chaozong
Published: April 2024

Currently, the global birth rate is generally showing a downward trend. China had faced the first negative population growth in the past 61 years in 2022. These demographic phenomenons make the government concerned and attract a number of economists and demographers to do researches on them. After learning some former studies, this article is based on data from China Statistical Yearbook(www.stats.gov.cn), CHFS and CFPS to figure out the trend of consumption with the background of aging population and sub-replacement fertility in China. The result shows that the trend of aging population has a positive effect on living consumption, but has a negative effect on the aggregate consumption. There is still a large amount of domestic savings of families with aging population not released to the market since the lack of financial knowledge. The generation Z tend to show their loyalty to the brand who owns the brand culture approved by generation Z. To sum up, the government have to focus on the upgrading of living consumption and the popularization of financial knowledge. Meanwhile, the enterprises have to cultivate their own brand culture to attract and retain the generation Z consumers.
Robot Adoption and Employment in China
Authors: Li Jialing
Published: April 2024

The research level of robotics in China is also at the forefront of the world, but there is no literature on the impact of robotics on the labor market in China. This paper examines the influence of robot adoption in the labor market based on regional and industry-level robot applications. This study concludes that robot adoption will considerably cut labor employment, particularly in industries where machines are more easily replaceable. The results are unaffected by substituting robot density for the dependent variable and controlling for the endogenous issue. This research contributes to the literature on robot installations and the labor market field by providing further empirical data for the structural transformation of China's labor market at a more granular level and in more industry sectors. This article suggests that policymakers in the robot sector should be concerned about the detrimental effects of robot policies on social employment and the unique characteristics of regional economies and industries.
A Review of Empirical Analysis in Value Investing
Authors: Fan Yixin , He Xin , Li Xinyuan , Yao Jiheng
Published: April 2024

Value investing refers to investing in stocks by focusing on the intrinsic value of the business rather than the price. It generally pays attention to two major values of the enterprise, one is to estimate the liquidation value of the enterprise, and the other is to focus on the growth value of the enterprise. When value investing first emerged in the 1920s, insider knowledge and conjecture served as the primary sources of guidance for investors. The first logical foundation for investing decisions was established by its introduction. Since Graham put forward the theory of value investment, foreign research has made great progress, while domestic research has been controversial in practice due to the short history of the securities market and the late start of research, which forces many investors to study, practice and explore. Nowadays, a substantial body of scholarly empirical research on value investing has been published. This paper examines and updates this body of work, go over the many theories explaining the performance of value investing, examine the empirical studies supporting these theories, and offer some fresh findings derived from an updated and enlarged sample. At the end of the article, researchers also point out the gaps in the research and the problems for further discussion.
Social Media Data Analytics in the Automotive Industry: A Study of the Interactive Impact of Marketing Strategies and User Ratings
Authors: Xue Shihao
Published: April 2024

In the era of ubiquitous social media, car companies are navigating the challenges of user feedback on these platforms. This study investigates the influence of social media interactions on the market competitiveness and brand image of automotive firms. Using Python for web scraping, this study collected and analyzed user comments from Sina Weibo, focusing on both traditional fuel and new energy car companies. The comments were subjected to sentiment analysis using a sentiment dictionary, revealing users' emotional tendencies towards various car brands. The findings indicate notable differences in social media sentiment and brand positioning among different car companies. These insights are crucial for automotive companies to leverage social media feedback to enhance their products, services, and brand strategies.
Improving the Business Model of Darry Ring Market
Authors: Ma Suxi
Published: April 2024

Darry Ring's distinctive brand concept helped it become the public's favorite and choice during the epidemic period, and sales did not fall but climbed. However, in the late stages of the epidemic, because of the trailing effect of the new crown epidemic, which resulted in an extraordinary fall in Darry Ring sales, the brand stores struggled to operate, and several were forced to close. This study sought to investigate how Darry Ring's strategic model could be modified to better react to the market in the late phases of the new crown epidemic. The Darry Ring will be used as a case study to conduct a thorough investigation of its post-epidemic sales fall, as well as its financial reports, post-epidemic employment data, marriage rate data from recent years, and other information. Due to the increasing number of branded diamond rings in the same category, it is recommended that Darry Ring implement a price reduction plan and provide additional value-added services in the future. In response to the fall in demand for diamond rings caused by the marriage rate, it is advised to focus on their unique traits while expanding into overseas markets. Finally, in response to the drop in sales caused by a lack of brand trust, it is proposed that the brand's credibility and image be reestablished.
Research on the Impact of Microsofts Acquisition of Blizzard
Authors: Lin Zhangzhuo
Published: April 2024

On October 13, 2023, the largest acquisition in the global game field took place, Microsoft completed the acquisition of Blizzard with about $69 billion, the acquisition as early as January 2022, and Microsoft announced its first plan to acquire Blizzard. After 22 months, the deal is finally over. The path to the acquisition has been bumpy, but the huge revenue generated by the acquisition is enough for Microsoft to ignore the arduous 22-month journey. Blizzard's annual revenue has been steadily rising with its love for games. However, because Blizzard can only make achievements in games, it also limits Blizzard to make important breakthroughs in turnover. At the same time, Blizzard faces challenges from many other companies. Because of the limitations of Blizzard in the field, there is not much breakthrough, many important company employees have left the company, and Blizzard is also facing serious problems. However, in Microsoft's acquisition of Blizzard, this article will analyse the impact of this deal on Blizzard after this deal. According to the data studied, what Activision Blizzard needs at present is a new platform for them to release their games and expand their business scope, to ensure that old users do not leave, and to introduce new users to increase the total revenue and net profit. Therefore, Microsoft's acquisition of Blizzard is a new opportunity for Activision Blizzard, because Microsoft provides a new platform on which Activision Blizzard can develop, so that both parties can benefit.
ByteDance: The Social Media and Entertainment Revolution in the Digital Age
Authors: Zhu Shilun
Published: April 2024

The advent of the digital era has resulted in significant transformations in the global society, mostly driven by rapid technological advancements and the widespread adoption of the Internet. ByteDance, a corporation operating in the digital era, has swiftly developed and established a significant market presence, propelled by its use of short-video technology and online culture. This thesis centers on the developmental trajectory of ByteDance within a specific setting, with particular emphasis on its strategic approach to development amidst the epidemic. The objective of this study is to examine the company's utilization of the online shopping trend and assess the influence of short-form video technology on individuals' lives, particularly in relation to the abundance of wealth opportunities it has generated. To comprehensively examine these matters, the present study employed a combination of literature analysis, case study, and data analysis. The study revealed that ByteDance's measures implemented throughout the pandemic period not only bolstered its market position, but also generated substantial income prospects for individuals. Furthermore, this thesis offers a projection of the potential future trajectory of ByteDance and conducts an analysis of its enduring implications.
Research on Marketing Strategy of Luckin Coffee
Authors: Chen Yuyang
Published: April 2024

In recent years, China's economy and science and technology have developed rapidly, and national consumption habits are also constantly changing and upgrading. Coffee products occupy an increasingly important position in the domestic beverage market. From the perspective of growth rate, the growth rate of China's coffee market is far higher than the global average, showing greater market potential. This article takes Luckin Coffee as the research subject and analyzes the marketing strategy of Luckin Coffee based on the integrated marketing communication theory and precision marketing theory. This article found that the success of Luckin Coffee is not a coincidence, but a successful case under marketing theory. This article expects Luckin Coffee to make outstanding achievements in the future in rapidly improving quality control, building a unique brand culture, and laying out third-tier and fourth-tier cities.
NPK Biofertilizer Production from Banana Peel, Feather and Bone Ashes and their Comparative Advantage to 20:10:10 Inorganic Fertilizer
Authors: Abubakar Abdulhalim Musa , Luka Yusufu , Abdullahi Suleiman , Baboo Prem , Kareem Semiu Adebayo
Published: April 2024

The possibility of formulating nitrogen, phosphorus and potassium (NPK) biofertilizer from ashes of waste organic materials such as chicken feathers, bone and banana peels is investigated in this study by first subjecting the agricultural waste to 80-250  heat in a muffle furnace to produce ash. Kjeldatherm block digestion unit, UV spectrophotometer, and flame photometers, respectively helped in measuring the concentrations of N, P and K inherent in the fertilizer precursors as well as in 5 formulated blends (i.e., A, B, C, D & E). It was discovered that NPK in the single substrate and blends favorably compared with standard NPK 20:10:10 chemical fertilizer to some extent. Among single material fertilizer sources, feather ash with 0.179:1:0.134 NPK and bone ash with 0.009:1:0.021 NPK had the closest nutrient content with the standard, showing potential promise. On the other hand, Blend E is the same as the standard, followed by Blend A, B, D and C, which are hierarchically close in elemental composition to the standard. The choice of these biofertilizers is dependent on their nutrient compositions, the type of crops to be grown, and the soil mineral requirements. Most importantly, different NPK ratio organic fertilizers produced in this study can competitively be produced in a large scale to address huge costs associated with the NPK 20:10:10 standard commercial fertilizer. Blend E (NPK 20:10:10) can be formulated locally by farmers in rural areas easily using this particular agricultural residue or a host of other confirmed farm wastes.
“Prática de ensino de História” como categoria de pesquisa em História e Educação Stricto Sensu no Brasil (1987-2017)
Authors: Fernandes Dennis , Bessão de Assis Vivianny
Published: April 2024

Este texto apresenta resultados parciais de pesquisa sobre a “História do ensino de História no Brasil (1987-2017) na pós-graduação Stricto Sensu”. Para isso, partiu-se de uma abordagem metodológicos da pesquisa documental para à localização, recuperação, reunião, seleção e ordenação de referências sobre a História e seu ensino (Belloto, 1979, 1991), disponibilizadas no repositório digital de teses e dissertações da Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES). Com este processo de pesquisa localizou-se 660 pesquisas produzidas nos programas de Pós-graduação em História e Educação de diferentes Universidades brasileiras e mapeou-se sete categorias, nas quais essas pesquisas foram distribuídas, são elas: “Práticas do ensino de História”; “Formação docente em História”; “Livros didáticos e manuais de História”; “Currículo de História”; “História do ensino de História”; “História e Cultura Afro-Brasileira, Africana e Indígena - Lei 10.639/03 – 11.645/08” e “Identidade, Representação e Narrativas sobre o ensino de História”. Neste texto objetiva-se analisar a produção acadêmica da categoria “Práticas do ensino de História” que obteve o maior número de estudo, com 244 textos envolvendo os programas em História e Educação. Por meio do esforço de ordenação dessas pesquisas foi possível identificar 29 temáticas ao longo de 30 anos de estudos, aquelas mais recorrentes e as que se diversificaram ao longo das décadas, bem como observar o movimento de entrada e de amadurecimento das pesquisas nessa categoria nas duas áreas de conhecimento.
DYSTROPHIC CALCINOSIS CUTIS IN SYSTEMIC LUPUS ERYTHEMATOSUS (SLE) – CASE REPORT
Authors: Silva Juliana Maria Nascimento , Lainetti Aldo , Rodrigues Fernanda Viana , Labre Lorena Moura , Silva Arthur Santos da
Published: April 2024

Calcinosis cutis is a rare and morbid disorder defined by calcium deposition in the cutaneous and subcutaneous layers of the skin. When associated with immune-mediated connective tissue diseases, it is classified as dystrophic calcinosis cutis, presenting with local tissue damage and normal serum calcium metabolism. It is commonly described in systemic sclerosis and dermatomyositis but rarely in association with systemic lupus erythematosus (SLE). It usually develops in women with longstanding systemic disease and Its pathophysiological mechanism is poorly understood. Characteristically, the lesions occur on the buttocks and extremities, with hardened nodules, varying in size, which may ulcerate and release white and calcareous materials with subsequent inflammation and pain. Usually it's an incidental finding, since it is often asymptomatic. Along with a compatible clinical picture, X-rays are a useful supplementary examination. Currently, there is no effective treatment available, making its therapy a constant challenge.
THE PROSPECTS AND RISKS OF THE USE OF WEB - CONFERENCING IN CRIMINAL PROCEEDINGS
Authors: Миронова Е.Ю.
Published: April 2024

В статье обосновывается необходимость законодательной регламентации применения веб-конференции в уголовном судопроизводстве. Приводятся данные опроса граждан, подтверждающие наличие потребности во внедрении веб-конференции в сферу уголовного судопроизводства, предлагается сравнительная характеристика дистанционных видеотехнологий, применяемых в деятельности судов: видеоконференцсвязи и веб-конференц-связи, обозначаются достоинства и недостатки веб-конференции в связи с ее применением в судопроизводственной сфере. Выделенные преимущества применения веб-конференции позволяют автору прийти к выводу о необходимости внедрения такой цифровой технологии в деятельность правоохранительных и судебных органов, осуществляющих уголовное судопроизводство. Автором обозначены перспективы и риски, связанные с внедрением веб-конференц-связи в уголовно-процессуальную деятельность, при этом делается акцент на том, что применение рассматриваемой технологии допустимо только в исключительных случаях, когда очное участие лица в судебном заседании невозможно в силу веских объективных причин.

The article substantiates the necessity of legislative regulation of the use of web-conferencing in criminal proceedings. The data of the survey of citizens confirming the need for the introduction of web conferencing in the sphere of criminal proceedings are given, a comparative characteristic of remote video technologies used in the activities of courts: videoconferencing and web conferencing is offered, advantages and disadvantages of web conferencing in connection with its application in the sphere of legal proceedings are outlined. The highlighted advantages of web conferencing allow the author to conclude that it is necessary to introduce such digital technology in the activities of law enforcement and judicial bodies involved in criminal proceedings. The author outlines the prospects and risks associated with the introduction of web conferencing in criminal proceedings, emphasising that the use of this technology is acceptable only in exceptional cases, when the face-to-face participation of a person in a court hearing is impossible due to compelling objective reasons.
SmartSkinAI: Innovations in Dermatological Preliminary Diagnosis using AI
Authors:   PVG’s College of  Engineering and Technology & G.K.Pate(Wani) Institute of Management  Pune, India, Deshpande Prof.Shubhangi
Published: April 2024

Dermatological conditions are becoming predominant across the globe.People in different geographical locations suffer from various skin diseases such as acne, melonama, eczema and many more.However, they are unaware about the severity of these skin diseases as they may worsen with time.Preliminary diagnosis of skin conditions play a vital role in prediction of the disease. Skin disease diagnosis at present includes a series of pathological laboratory tests for the identification of the correct disease. At the moment, AI-powered diagnostic technologies can help physicians in making quicker and more precise diagnoses.This research proposed an efficacious solution by implementing Convolutional Neural Network architecture MobileNet(v2).The dataset is gathered from various sources to collect images of ten different skin disorders.Then classification techniques are implemented for predicting the type of skin disease.The trained model is deployed on the web using Django framework and the recognition of skin diseases can be done remotely using this system. Out of different performance evaluation measures,accuracy and loss is calculated to verify the working of model. Our model comprising of MobileNet(v2) achieved accuracy upto 99.00%. Moreover, we proposed and implemented a web-based model for the real-time recognition of skin diseases. This approach can aid health professionals by recognizing different skin diseases more efficiently and making the diagnosis process more user-friendly for the patients. Key Words: Convolutional Neural Network (CNN), skin disease, MobileNet V2, classification, preprocessing,train-test split
Hybrid Recommender System for Tourism Based on Big Data and AI
Authors:   Professor, Department Of Computer Engineering, Sir Visvesvaraya Institute Of Technology, Nashik, Maharastra, Patole Prof. Uttam
Published: April 2024

With the advancement of the Internet, technology, and communication channels, the generation of tourist data has significantly increased across various sectors such as hotels, restaurants, transportation, heritage sites, tourist events, and activities. This surge is particularly notable with the rise of Online Travel Agencies (OTAs). However, the sheer volume of options provided to tourists by web search engines or specialized tourism websites often overwhelms them, burying relevant results in a sea of information "noise." This inundation hinders or slows down the decision-making process. To alleviate this issue and aid tourists in trip planning by facilitating the discovery of relevant information, numerous recommender systems have emerged. This article offers an overview of the diverse recommendation approaches employed in the tourism domain. Through this investigation, we propose an architecture and conceptual framework for a tourism recommender system founded on a hybrid recommendation approach. This system surpasses merely suggesting a list of tourist attractions tailored to individual preferences. Instead, it functions as a comprehensive trip planner, crafting detailed itineraries comprising a variety of tourism resources, customized for specific visit durations. KeyWords: Internet Development, Tourist Data Production, Trip Planning, Conceptual Framework.
DRIVER DROWSINESS DETECTION SYSTEMS
Authors:   Dept of MCA, Trinity Academy of Engineering, Pune, India, Patil Girish Ananda
Published: April 2024

Car accidents are frequently caused due to many reasons like drowsiness, drunkenness or tiredness, which has serious consequences for traffic safety. Numerous factors, such as fatigue, intoxication, or drowsiness, commonly contribute to car accidents, which have detrimental effects on traffic safety. Many fatal collisions might be avoided if sleepy drivers were warned beforehand. Many sleepiness detection technologies are available to identify and warn drivers of any indications of inattention while driving. Sensors in self-driving cars must be able to detect whether a driver is sleepy, agitated, or experiencing sharp emotional fluctuations. Thus far There have been numerous recommendations for enhanced warning systems to prevent sleepy driving. When these systems detect a significant lane departure, a change in the headway distance, or other indications of subpar driving, they sound an alarm. These systems rely heavily on machine learning algorithms, which allow them to learn and adjust to unique driving patterns and characteristics. In supervised learning, models are trained on labelled datasets to discriminate between awake and sleepy states. These approaches are widely used for classification tasks. Unsupervised learning techniques are also applied for anomaly detection, which finds departures from typical driving behaviour. The incorporation of cutting-edge sensors like facial recognition cameras and brainwave sensors, which offer more thorough insights into the driver's condition, has recently improved driver sleepiness detection systems. Moreover, these systems are more accurate and responsive when real-time data processing and cloud-based analytics are used. KEYWORDS Drowsiness-detection, Driver-Fatigue, Computer Vision, Real Time, survey, Eye Tracking Technology, Automotive Safety Systems, Driver Assistance Systems, Real-time Drowsiness Detection, Alertness Monitoring.
A 45nm AND 65nm CMOS IMPLEMENTATION OF 12T SRAM CELL WITH SOFT ERROR READ STABILITY OF MULTINODE UPSET RECOVERABILITY FOR AEROSPACE APPLICATION
Authors:   Department of VLSI, AVS Engineering College, Salem., T Keerthana
Published: April 2024

With technology advancing rapidly, the size of transistors and the distance between them is decreasing quickly. This reduction in size is causing the critical charge of sensitive nodes in SRAM cells to decrease, making them more susceptible to soft errors, especially in aerospace applications. When a radiation particle strikes a open node in a standard 6T SRAM cell, the storage data in the cell can be changed, leading to a single-event upset (SEU). To address this issue, a new Soft Error Read and write Stability improves Low Power 12T (SARP12T) SRAM cell has been introduced in this study to reduce the impact of SEUs. The performance of SARP12T has been compared to other recently developed soft-error-aware SRAM cells like QUCCE12T, QUATRO12T, RHD12T, RHPD12T, and RSP14T. SARP12T is designed for the recoverability of all stored data in sensitive nodes even if they are affected by radiation strikes. Additionally, SARP12T can overcome single-event multi-node upsets (SEMNUs) that may happened at its sensitive node pair. This proposed cell also boasts the higher read stability, as the storage node holding '0' can regain from any upset during read operations. Moreover, SARP12T consumes the minimum amount of hold power, has greater write ability, and lower write delay compared to other similar cells. Despite a almost greater read delay and higher read and write energy consumption, the improvements in the proposed SARP12T cell make it a promising solution for mitigating soft errors in SRAM cells
Educational Website
Authors: Ghodke, Sneha
Published: April 2024

Our educational website serves as a dynamic platform dedicated to fostering knowledge and skill acquisition across diverse subjects. With interactive lessons, engaging multimedia content, and expertly curated resources, we aim to empower learners of all ages and backgrounds. From academic subjects to practical life skills, our site provides accessible and enriching content tailored to individual learning styles. Whether exploring new interests, preparing for exams, or advancing professional goals, users can embark on a journey of lifelong learning with our comprehensive and user-friendly educational platform." Key Words: empower leraning,dynamic website, professional goals
SECURE CLOUD STORAGE PROTOCOL WITH DATA DYNAMICS USING DSCS PROTOCOL
Authors:   Cyber Security & Raghu Engineering College, Varma D. Aditya
Published: April 2024

The goal of the project "Secure Cloud Storage Protocol With Data Dynamics Using DSCS Protocol" is to create a cutting-edge cloud storage protocol that cleverly integrates network coding technologies to combine efficiency and security. The goal of this project is to provide strong protection against data loss and illegal access while improving the performance and dependability of cloud storage systems. The suggested protocol distributes and encrypts data among several cloud network nodes using network coding techniques. This strengthens the system against possible data loss or corruption by introducing redundancy and error correction in addition to optimizing data transit and storage efficiency. Key Words: cloud, private key, sensitive data, Network Coding
Fabrication of Manually Operated Electro Magnetic Abrasive Finishing
Authors:   B. Tech Final Year Students, Dept of Mechanical Engineering, Visakha Institute of Engineering and Technology., Chaitanya G. Pavan
Published: April 2024

The aim of our project is to obtain precision finishing of rough surfaces which are required to the work by addition of joystick to adjust the magnetic field on to the required surface. The magnetic field can relocated at any point by the use of joystick by the use of arduino uno board. Arduino can be used to develop interactive objects, taking inputs from a variety of switches or sensors, and controlling a variety of lights, motors, and other physical outputs. The results demonstrate the viability of the manually operated (EMAF) setup in achieving desired surface finishes across a range of materials, including metals and composites. It is designed to offer flexibility and ease of use, allowing operators to adjust parameters such as magnetic field intensity, abrasive particle size, and feed rate. Through a series of experiments and analysis, the efficiency of the fabricated system is evaluated in terms of surface roughness, material removal rate, and surface integrity. Key Words: Precision finishing, Magnetic force, Surface quality, Polishing, Manual operation.
Dog Breeds Classifier
Authors:   B. Tech Student Computer Science & Engineering, Kalinga University, Naya Raipur (C.G), Yadav Ronish Ranjan
Published: April 2024

This paper introduces a novel approach to dog breed detection using deep learning, focusing on the InceptionV5 architecture. It addresses the need for accurate breed identification crucial in pet care, veterinary diagnostics, and animal welfare studies. By training a fine-tuned InceptionV5 model on a Kaggle dataset pre-processed via Google Colab, the system achieves classification based on standard metrics like accuracy and F1-score. Integration into a Flask web app enables real-time breed detection from uploaded images, enhancing accessibility. The study highlights the efficacy of deep learning, particularly InceptionV5, in automating breed identification tasks, offering practical solutions across various applications. Moreover, it discusses potential implications for pet care, veterinary diagnostics, and animal welfare enhancement. Top of Form Key Words — dog breed detection, deep learning, InceptionV5 architecture, pet identification
Comparative Study of Machine Learning Algorithms for Traffic Sign Recognition
Authors:   Computer Engineering, Pimpri Chinchwad College of Engineering, Pune, Kolpe Kavita
Published: April 2024

The increasing integration of intelligent transportation systems has brought forth a critical need for accurate and efficient traffic sign detection algorithms. In this research, we conduct a comprehensive comparative analysis of four prominent convolutional neural network (CNN) architectures—LeNet, ResNet, VGG, and a standard CNN model—for their performance in traffic sign detection. The evaluation is conducted on a diverse dataset, utilizing the German Traffic Signs Recognition Benchmark (GTSRB). Our study encompasses an in-depth examination of accuracy metrics and performance under varying conditions, such as challenging lighting, occlusion, and environmental complexities. The results demonstrate nuanced differences in accuracy and computational efficiency among the algorithms. LeNet exhibits notable improvements in real-time processing, while ResNet showcases enhanced accuracy, and VGG demonstrates robustness in challenging conditions. The findings provide valuable insights into the strengths and weaknesses of each algorithm, aiding researchers and practitioners in selecting the most suitable model for specific traffic sign detection applications. This research contributes to advancing the field of computer vision in intelligent transportation systems, with implications for enhancing road safety and efficiency. Key Words: traffic sign recognition, deep learning, Res-Net, VGG19, CNN, LeNet.
Mela Niyaziyê Boşatî û Berhema Wî ya Bi Navê 'Menzûme We Gotinê Jîr û Kalan'
Authors: Çelik Murat
Published: April 2024

Medrese di dîrokê de hertim ji bo civaka kurd bûye navendeke sereke ya ilm û perwerdeyê. Bi xêra medreseyê gel derfet dîtiye bi ilim re têkiliyê dayne û nifşên nû bide xwendin û perwerdekirin. Ji ber vê li gelek herêm, bajar û gundan medrese hatine vekirin, zarok çûne medreseyê û li gor mufretada wê hatine perwerdekirin. Kesên ku dersên xwe qedandine û îcazeta xwe wergirtine bûne mela û muderis.
Ji kesên li medreseyan xwendine yên eleqeya wan li ser xwendin, nivîsîn û berhemdanê hebûn pirtûk amade kirine, şi‘r nivîsîne û yan çavkaniyên erebî û farisî yên bingehîn wergerandine kurdî. Ji wan kesên li medreseyê perwerde bûne û piştî bûne mela û dest avêtine pênûsê û berhem nivîsîne yek jî Mela Niyazî Boşatî ye. Li ber destê me berhema wî ya bi navê Menzûme we Gotinê Jîr û Kalan heye û em ê di vê xebata xwe de qala jiyana muelif bikin û berhema wî ya pir nayê zanîn bidin nasîn, naveroka wê tehlîl bikin, nusxeyên wê bidin nasîn û herî dawîn destxeta kurmancî ya bi herfên erebî hatiye nivîsîn transkirîbeyî herfên latînî bikin û edîsyon-krîtîka wê bikin.
Mersiyeyên Kurdîya Kurmancî Ku Li Ser Ferdên Malbatê Hatine Nivîsîn
Authors: Turan Cihan
Published: April 2024

Mersiyeya ku li ser mirina yekî jê tê hezkirin û bi qedr û qîmet e hatiye nivîsîn di edebiyata klasîk de xwedî cihekî taybet e. Mersiyeyên ku hatine nivîsîn, geh ji bo şa’iran bûne hêlîna elemkişandin û rondikrijandinê û geh jî bûne cihê metihkirinê û kirina nifir û dûayan. Ev celebê şi’irê yê ku jê re mersiye tê gotin him di edebîyata klasîk a şerqê de him jî di Edebiyata Kurdiya Kurmancî ya Klasîk de xwedî cihekî muhîm e. Di Edebiyata Kurdiya Kurmancî ya Klasîk de li ser gelek kesan mersiye hatine nivîsîn. Yek ji wan tebeqeyên ku ji bo wan herî zêde mersiye hatine nivîsîn ferdên malbatê bi xwe ne. Bi vê xebatê tê xwestin bê nîşandan di navbera sedsalên XVIII û XXIan de kîjan şa’irê Kurd çend mersiye bi Kurdîya Kurmancî li ser ferdê malbatê nivîsîne. Di vê xebatê de ewilî pênaseya mersiyeyê hat kirin û dûre li ser wan mersiyeyan hat hûrbûn ku di edebiyata klasîk de bi zaravayê Kurmancî ji ber mirina ferdên malbatê hatine nivîsîn. Ew mersiyeyên di kitêbên çapkirî û destxetan de hatin tesbîtkirin bi rê û rêbaza analîtîk hatin vekolînkirin. Bi kurtasî di vê xebatê de ew mersiyeyên ku şa’irên Kurd ên klasîk ji ber mirina ferdekî malbata xwe nivîsîne hatin lêkolînkirin û hewl hat dayîn bê nîşandan kîjan mersiyenûsî çend mersiye li ser kîjan nasê xwe nivîsîye.
Related Case Of Current Process Of Claiming Oleh Children Through Restorative Justice In The Way Of Law Polres Binjai
Authors: Ferry Irmawan  , Firman Halawa  , Muhammad Arif Sahlepi
Published: April 2024

Traffic accidents involving juvenile perpetrators often raise controversy in the implementation of criminal law, causing much polemic. The view that the legal process should be carried out and enforced without the rule of law and law enforcement is that the "passage" that includes the delict of guilt, that is, at the time of driving the vehicle to cause the occurrence of an accident and resulting death of the victim, should still be processed legally. The large number of traffic accidents involving minors is a serious concern for parents and governments. The State of Indonesia guarantees a basic principle of the application of the law to the child, which we can see in Article 16, Paragraph 3, of the Act No. 35 of 2014 on the Protection of the Child, which states that “arrest, detention, or criminal imprisonment is only carried out when it is in accordance with the applicable law and can only be done as a last resort. The concept of restorative justice in the settlement of traffic accident cases is intended to realize a shift of the criminal settlement process out of the criminal court process and resolved through the process of divorce. The police action in settling the traffic accident case by a minor child is to begin with the operation of the Place of Evidence of Things (TCP), to make news of the event, to carry out the investigation process, and to give time to the victims and perpetrators to punch. From this process begins the restorative justice, so that if the victim and the perpetrator are willing to peace and the offender is willing to pay damages, the parties make a peace declaration
Earthquake And Landslide Disaster Risk Assessment At The University Of Defense: A Preliminary Study
Authors: Say Marina Octavia  , Adi Subiyanto  , Deffi Ayu Puspito Sari  , Pujo Widodo
Published: April 2024

The geographical location of the University of Defense in Bogor Regency, Citereup Sub-district, Bogor, West Java, is a sloping terrain that can potentially cause landslides. The InaRISK map released by BNPB, shows that the Defense University is located in an area of Bogor Regency that is prone to disasters, especially landslides. Disaster risk assessment is an approach to show the potential negative impacts that may arise due to a potential disaster. The potential negative impacts are calculated based on the level of vulnerability and capacity of the area. This potential negative impact is seen from the potential number of people exposed, property loss, and environmental damage (PERKA BNPB, 2012). Researchers conducted an analysis of landslide and earthquake disaster vulnerability at the University of Defense. A study of building and population vulnerability to potential earthquakes and landslides was conducted at the University of Defense. The components of social vulnerability at the University of Defense in the event of an earthquake and landslide were obtained. Researchers obtained data on population capacity and building conditions at the University of Defense. Landslide and earthquake disaster risks have the potential to occur at the University of Defense. The University of Defense has the potential threat of landslides because the buildings of the University of Defense are located on hilly slopes. The vulnerability of the University of Defense buildings, the University of Defense buildings have not been designed to be entirely earthquake resistant. This can be seen in some buildings that have visible cracks. It is necessary to retrofit or strengthen the foundations of buildings in the Defense University area that have experienced a decrease in performance such as cracking, shifting, displacement. An important component where the University community and students need self-protection and rescue skills through training.
Digital Transformation of Financial Literacy and Inclusion as a Support for Convenience for MSMEs
Authors: Restu Millaningtyas  , Moh. Amin  , Agus Hermawan  , Puji Handayati
Published: April 2024

Financial digital transformation provides easy access to financing in terms of financial literacy and inclusion. Digital financial literacy and inclusion is a means of education and ease of life and the future for both personal and business needs that are financially effective and efficient in various aspects including a wider range of transactions, easy to use, time-saving, affordable costs, easy-to-understand tools and maintained security. The purpose of this article is to explain the digital transformation of financial literacy and inclusion, explain the contribution of digital financial literacy to the convenience of MSMEs, explain the contribution of digital inclusion to MSMEs and discuss the advantages, disadvantages and solutions of digitalization of financial literacy and inclusion in its implementation. The method used in the study is RISMA 2020 (Preferred Reporting Items for Systematic review and Meta-Analyses) aimed at increasing the transparency and completeness of reporting systematic review results making it easier for readers to assess the trustworthiness and applicability of review findings. The result of digital transformation is financial access and financial literacy providing convenience through an easy-to-use and secure financial service platform for both the general public and business owners in conducting transactions, financing and investment. Digitalization of financial literacy will facilitate financial access, get financial education, and facilitate transactions, but in some countries financial inclusion does not have a significant effect on alleviating MSMEs, if these countries provide policies to financial institutions to increase lending with easy collateral it will enable the success of MSMEs.
Mediation Based on the Value of Pacta Sunt Servanda as a Regulation of the Interests of Creditors and Bank Debtors in Cessie
Authors: Suhardana Nyoman , Suhariningsih Suhariningsih , Winarno Bambang , Permadi Iwan
Published: April 2024

Receivables are the right to collect debts, a means of fulfilling civil obligations, a continuation of the credit agreement contract that must be held. The principle of Pacta Sunt Servanda as the foundation of giving direction, purpose, and fundamental value and ethical judgement to debts with property collateral with a time limit determined by the parties. However, the need for money when the receivables are not yet due encourages the receivables to be transferred into cessie, doctrinally the holder of the eigendom right has the power to eigenaar freely and to act freely on the property with full sovereignty, even so, the problem arises with the submission following the formal rules of cessie raises legal consequences, if without being notified, or in writing has been acknowledged and approved. This article questions whether the submission of receivables in the form of a unilateral legal action through cessie reflects the value of pacta sunt servanda which provides equality and justice for the parties? By applying a normative juridical research method based on a statutory approach, a legal conceptual approach, and a case approach, it strengthens the results prescriptively analytically, related to cessie which is worth justice being a hope for the business world, preventing potential legal uncertainty, avoiding potential disputes over the implementation of the transfer of receivables, preventing economic losses, by internalising the value of legal certainty and justice.  The value of pacta sunt servanda in this case relates to the equal position between the creditor and the debtor, this aspect also emphasises the guarantee of human rights for the parties to the agreement, as well as legal certainty and predictability in the process of fulfilling the provisions of the rights and obligations of the agreement agreed by the parties
Nghiên cứu nhân giống loài Mẫu đơn đỏ (Ixora coccinea L.) bằng phương pháp giâm hom
Authors: Hà Đặng Văn , Yến Nguyễn Thị
Published: April 2024

Mẫu đơn đỏ (Ixora coccinea L.) là loài cây có hoa đẹp thuộc họ Cà phê (Rubinaceae). Với khả năng nở hoa lâu dài và bền bỉ, những bông hoa màu đỏ rực rỡ của nó trở thành lựa chọn phổ biến cho việc trang trí cảnh quan. Bài báo trình bày kết quả về việc nhân giống loài cây Mẫu đơn đỏ bằng phương pháp giâm hom. Kết quả của nghiên cứu đã chứng minh rằng việc sử dụng chất điều hòa sinh trưởng, cùng với thời gian và phương pháp xử lý hom bằng chất này, có ảnh hưởng đáng kể đến tỷ lệ sống, tỷ lệ ra rễ và chất lượng bộ rễ của cây giâm. Trong đó, hom được xử lý bằng chất điều hòa sinh trưởng NAA ở nồng độ 400 ppm, trong thời gian 25 phút và giâm trên giá thể 100% cát mịn, đã cho tỷ lệ sống và tỉ lệ ra rễ cao nhất, cùng với chất lượng rễ tốt nhất. Sau 50 ngày giâm, tỷ lệ sống và tỷ lệ ra rễ đạt 94,4%, chỉ số ra rễ đạt 54,39. Kết quả nghiên cứu này có thể áp dụng trong sản xuất cây giống để đáp ứng nhu cầu thị trường về hoa và cây cảnh.
Đánh giá khả năng hấp phụ phẩm màu hữu cơ trong nước của than sinh học từ vỏ gỗ Keo lai
Authors: Hương Nguyễn Vân , Hạt Đặng Thị Thúy , Thủy Trần Thị Thanh , Anh Lê Huệ
Published: April 2024

Sản xuất than sinh học từ phế phẩm lâm nghiệp không chỉ mang lại hiệu quả kinh tế mà còn góp phần giải quyết các vấn đề môi trường do phế phẩm lâm nghiệp gây ra. Bài báo này trình bày kết quả nghiên cứu thực nghiệm quy trình sản xuất than sinh học từ vỏ gỗ Keo lai bằng phương pháp nung yếm khí. Điều kiện chế tạo than thích hợp từ vỏ gỗ Keo lai là: kích thước vỏ được nghiền nhỏ cỡ 0,1 – 0,2 cm, nhiệt độ nung 8000C, thời gian nung 30 phút. Đặc trưng về cấu trúc của than sinh học từ vỏ gỗ Keo lai được nghiên cứu bằng các phương pháp SEM, BET, IR. Than sinh học từ vỏ gỗ Keo lai có nhiều lỗ xốp, diện tích bề mặt đạt 24,14 m2/g, kích thước mao quản trung bình khoảng 1,7 nm. Các mô hình hấp phụ đẳng nhiệt Langmuir và Freundlich đều mô tả tốt quá trình hấp phụ Methyl da cam trong nước tại nhiệt độ phòng với các hệ số hồi quy R2 lần lượt là 0,9905 và 0,9780. Dung lượng hấp phụ cực đại của quá trình hấp phụ Methyl da cam tính theo mô hình Langmuir là qmax = 34,13 mg/g.