bluuebunny/crossref_metadata_2025 huggingface dataset:
Diseño del sistema de gestión y aseguramiento de calidad de la Universidad Nacional Agraria, Nicaragua
Authors: Araica Zepeda Ricardo , Vargas Hernández Marcia Mercedes
Published: May 2024

El propósito de este artículo es presentar la propuesta del diseño del Sistema de Gestión y Aseguramiento de la Calidad (SGAC) de la Universidad Nacional Agraria (UNA) acorde con su naturaleza pública y comprometida con el desarrollo productivo del sector agrario de Nicaragua. El SGAC representa una necesidad institucional para impulsar los procesos de autoevaluación institucional y programas académicos, con fines de mejora y acreditación; valorar la calidad de los servicios universitarios; fortalecer la calidad de la docencia, investigación y la vinculación; optimizar los recursos, la toma de decisiones con base en información oportuna y lograr una mayor pertinencia e impacto social. Esta investigación utilizó la perspectiva de la Teoría General de Sistemas, el enfoque plurimetodológico y holístico, de tipo no experimental, exploratorio y transversal. Los criterios de calidad utilizados fueron objetividad, coherencia, transparencia y credibilidad. Primeramente, utilizando fuentes secundarias, se realizó un análisis documental, basado en la hermenéutica para disponer del estado del arte sobre los SGAC de la Educación Superior. Seguidamente, la investigación partió de un grupo focal con autoridades superiores y posterior aplicación de encuestas, a los actores claves de la comunidad universitaria, sobre los aspectos principales del sistema, a saber: principios gerenciales, componentes y mecanismos de articulación. Los resultados demostraron una percepción positiva muy alta por parte de los encuestados en todos los aspectos valorados, los cuales fueron determinados a través de tres escalas propuestas por los investigadores. La consistencia interna de cada escala obtuvo un alfa de Cronbach por encima de 0.90 considerándose excelente.
MANAJEMEN PEMBELAJARAN PASRAMAN SAD DHARMA DWIJENDRA DI YAYASAN DHARMA LAKSANA MATARAM
Authors: Widyatmaja Wayan , Zaenab Siti
Published: May 2024

This study aims to conduct a study of the learning management of the Pasraman Sad Dharma Dwijendra Mataran at the Dharma Laksana Foundation.This research was conducted using qualitative methods with descriptive data analysis. Data collection techniques used in this study were non-participatory observation techniques, structured and unstructured interview techniques, and documentation. The data obtained is then analyzed through three stages, namely data reduction, data presentation, and drawing conclusions. To check the validity of the data using credibility, transferability, dependability, and confirmability. Based on the results of the study, four findings were foud, namely 1). Lesson plans prepared by the teacher or Acarya include attendance, learning materials, learning models, strategies and methods, facilities and infrastructure, media, planning evaluation and paying attention to thr preparation of student or Brahmacari2). The organization of learning carried out by the teacher or Acarya includes organizing the learning schedule, organizing learning haours, organizing classes, organizing learning materials and resources, as well as organizing student or Brahmacari, 3). The implementation of learning carried out by the teacher or Acarya includes three stages, namely the preliminary activity stage, the core activity stage, the final learning activity stage; 4). The form of supervision or evaluation carried out by the teacher or Acarya is using practical methods, direct observation, and giving test orally and in writing to measure and know the skills and understanding of student or Brahmacari towards learning material.
SPIRIT KI HADJAR DEWANTARA DALAM IMPLEMENTASI KURIKULUM MERDEKA
Authors: Junaedi I Komang
Published: May 2024

Penelitian ini bertujuan untuk melakukan kajian berkaitan dengan peran semangat Ki Hadjar Dewantara tentang pendidikan di Indonesia dalam implementasi Kurikulum Merdeka. Ki Hadjar Dewantara merupakan pahlawan nasional yang dikenal sebagai Bapak Pendidikan Indonesia, beliau merupakan pendiri Taman Siswa yang mencetuskan konsep Tri Pusat Pendidikan, yaitu informal, formal dan non formal. Disamping itu, beliau juga mencetuskan konsep yang menjadi slogan bagi pelaku pendidikan yaitu “ing ngarso sung tulodho, ing madyo mangunkarso, dan tut wuri handayani”. Konsep pendidikan yang ditekankan oleh Ki Hadjar Dewantara mengarahkan pendidikan agar lebih mengedepankan terwujudnya siswa yang berkarakter serta dapat mengembangkan potensi yang dimiliki melalui pendidikan inklusif dan terintegrasi. Hal ini nampak dalam implementasi kurikulum merdeka, sehingga dipandang perlu melakukan kajian spirit Ki Hadjar Dewantara dalam implementasi kurikulum merdeka. Penelitian ini merupakan penelitian kualitatif dengan desain literature review. Data penelitian diperoleh melalui berbagai referensi yang kemudian dianalisis secara reduksi data, penyajian data dan penarikan kesimpulan. Adapun hasil dari penelitian ini adalah bahwa pemikiran Ki Hadjar Dewantara dalam pendidikan lebih menekankan pada kemandirian, keadilan, dan kesetaraan, dan hal ini penting dalam implementasi kurikulum merdeka. Selain itu, dalam pembelajaran juga diperlukan keterlibatan dari keluarga dan masyarakat untuk memberikan pengalaman belajar yang lebih luas kepada siswa. Spirit Ki Hadjar Dewantara tercermin dalam kurikulum merdeka yang mengutamakan kebebasan berpikir, inklusi sosial, dan partisipasi demokratis. Dengan spirit pendidikan Ki Hadjar Dewantara implementasi kurikulum merdeka diyakini akan mampu menerapkan prinsip-prinsip pembelajaran yang baik. Dengan hal ini,  Indonesia akan dapat membangun sistem pendidikan yang lebih relevan, berkelanjutan, dan memajukan kemajuan bangsa secara keseluruhan.
Uso do WhatsApp por pessoas idosas: um experimento com usuários de nível básico
Authors: Moreira Eunice Ribeiro , Corrêa Fábio , Carvalho Dárlinton Barbosa Feres , Gomide João Victor Boechat , Faria Vinícius Figueiredo de , Silva Alexandre Pinto da , Lima Presleyson Plínio de
Published: May 2024

O Instituto Brasileiro de Geografia e Estatística determina que a população com 60 anos de idade ou mais representa 15,81% dos brasileiros. O indivíduo desta população é denominado pessoa idosa e esse faze uso do WhatsApp para se comunicar com familiares, sendo a motivação para esse uso oriunda, principalmente, do incentivo de seus filhos. Contudo, as pessoas idosas possuem limitações diversas no uso desta tecnologia, sendo de ordem física, motora e cognitiva, provenientes do avanço da idade, bem como em assimilar novas tecnologias, devido ao ritmo de aprendizado, manipulação e assimilação diferente. Essas limitações imputam a plausível falibilidade de se comunicarem por esse meio, acarretando na insuficiência em nutrir laços afetivos com seus familiares e sociedade, dentre outros. Assim, esta pesquisa objetivou analisar as dificuldades de pessoas idosas, com nível de uso básico do WhatsApp, em relação aos signos das interfaces deste aplicativo. Fez-se uso do método de inspeção semiótica, de cunho qualitativo, e do método de avaliação de comunicabilidade, de abordagem quantitativa, como procedimentos metodológicos. A amostra foi composta por quatro pessoas idosas que assinalam possuírem nível de conhecimento básico do aplicativo, conformadas no intervalo etário de 62 a 82 anos, com escolaridade de fundamental a superior. Por resultado, foram identificadas rupturas interpretativas em sete das oito tarefas estabelecidas, das quais três culminaram na desistência de realização das mesmas, havendo por principal indício a baixa ou “oculta” visibilidade dos ícones. A realização deste experimento com pessoas idosas com nível intermediário a avançado de uso do WhatsApp é sugestão de pesquisa futura.
Teorias e práticas pedagógicas na ação docente: relato de experiência interdisciplinar no curso de formação de docentes normal em nível médio
Authors: Fernandes Vanderli Maria , Santos Élen Vieira dos , Alberto Tatiani Chagas , Rezende Felipe Gustavo Consulin , Azevedo Osmara Aparecida de Souza , Martin George Francisco Santiago , Nervis Jonis Jecks , Sachs Juliane Priscila Diniz
Published: May 2024

No contexto da educação, o papel do professor é crucial, pois está diretamente ligado à formação de indivíduos e à sua visão de mundo. No entanto, muitas vezes, essa importância não é devidamente refletida no cotidiano escolar, onde a complexidade do trabalho docente é subestimada. Tardif ressalta a pluralidade de saberes envolvidos na prática educativa, incluindo saberes disciplinares, curriculares, profissionais e experienciais. Essa diversidade de conhecimentos reflete a natureza multifacetada do processo educativo, que difere das indústrias tradicionais, pois lida com seres humanos em constante desenvolvimento. O saber profissional emerge da formação específica ao magistério e desempenha um papel fundamental na reflexão sobre a prática educativa atual e na busca por novas abordagens transformadoras. Assim este artigo apresenta uma experiência prática de ensino baseada nesses princípios, na qual professores e alunos do curso de Formação de Docentes do ensino médio participaram de um trabalho interdisciplinar. Após um embasamento teórico sobre interdisciplinaridade e teorias pedagógicas, proporcionado pelo programa de pós-graduação da UENP, foi realizada uma prática pedagógica colaborativa. Os resultados indicam uma contribuição significativa para o desenvolvimento da interdisciplinaridade entre os professores e para a compreensão e elaboração de planejamentos pedagógicos mais integrados pelos alunos. Destaca-se a importância do conhecimento teórico-pedagógico na orientação da prática docente, evidenciando a necessidade de uma formação continuada que promova a reflexão crítica e a inovação educacional. Essa experiência destaca a relevância de abordagens interdisciplinares e reflexivas na formação de professores, enfatizando a importância de uma educação contextualizada e engajada com os desafios contemporâneos da sociedade.
(Mis)Archiving the Archive
Authors: Ostraff Kaleb
Published: May 2024

(MIS)ARCHIVE is an ongoing project to question and explore the potential of archives, collections, and museums as meaningful artistic and pedagogical spaces. Sometimes it appears that institutions like archives are perceived as being mundane and innocuous, resulting in them being overlooked. Those who do pay attention to them seem to offer two conflicting narratives regarding archives: on the one hand, they are seen as public places where objective truths and collective histories can be found, while on the other hand, they are considered exclusive spaces that are used to shape a view of the past that reflects position and power. The lack of questioning and attention given to spaces like archives is one way that injustices and inequities can be perpetuated over time. The author, an artist and educator, takes up the topic of the archive through a series of artistic and pedagogical gestures. Centering on the actions of (mis)interpretation, (mis)representation, and (mis)use, the author provokes others to engage with archives as sites of knowledge and learning, to question and examine the practices of collecting and preserving, and consider what these sites offer educationally, artistically, and politically.
Analisis Butir Soal Ulangan Harian Siswa Mata Pelajaran PPKn Kelas IV Menggunakan Rach Model di Madrasah Ibtidaiyah Negeri
Authors: Rifana Fitria , Ramadhan Syahrul , Putro Khamim Zarkasih
Published: May 2024

The study aimed to analyze the items on students' daily test questions on PPKN subjects made by the teacher to measure learning outcomes during the previous lesson process. Conducted on fourth-grade students at the 01 West Pasaman State Madrasah Ibtidayah. The method used in this research is descriptive quantitative using Rasch model data analysis with Win Step software. The results of the data analysis carried out were on the reliability data analysis using Winstep Cronbach Alpha 0.49 software. From the existing data, it is clear that the level of reliability of the questions is still relatively weak. The results of the Rasch model of person reliability and item reliability are 0.47 and 0.52. The results of the analysis of the quality of the items in terms of the validity of the items using the Rasch model obtained 6 questions that were said to be valid and 24 questions that were said to be invalid because they did not meet the requirements for the MNSQ outfit, ZSTD outfit, and the Point Measure correlation (PT measure Corr). In using the Rasch model it is felt to be more accurate because it meets these three criteria, so it is considered valid. above the P value or the level of difficulty of the items below 0.25, there are 3 items, meaning the item is very difficult. Questions that are above 0.75 have 5 items meaning the question is too easy. And questions that are scored between 0.25-0.75 have 17 questions. That is, 18 questions have a good level of difficulty. Analysis of distracting items using the Winstep Rasch Model software for 25 daily test questions for students of Civics class IV at Madrasah Ibtidayah Negeri 01 Pasaman Barat shows that there are 23 questions with good functioning distractors. Items where the distractor does not function properly are 5 questions.
Tradisi Akademik Sekolah Dasar Unggulan di Sekolah Dasar Alam
Authors: Savika Helda Ivtari , Barizi Ahmad , Mubaraq Zulfi , Susilawati Samsul , Yaqin Zubad Nurul , Srinio Fuad
Published: May 2024

Studying academic traditions in leading primary schools in Malang, especially in SD Alam Ar-Rohmah, is crucial for deeper examination. This is because such studies are incessantly debated. This writing aims to understand three aspects: First, the paradigm of academic tradition in SD Alam Ar-Rohmah. Second, internal and external factors influence the academic tradition in the school. Third, the positive and negative implications of the academic tradition on students in the school. The methods employed include observation, interviews, and documentation along with a literature review using a content analysis approach. The findings reveal three aspects: First, the paradigm of academic tradition in SD Alam Ar-Rohmah encompasses three forms: (1) distinctive curriculum, (2) Islamic morning stories, and (3) market day. Second, internal factors influencing the academic tradition in the school consist of three elements: (1) school principal's strategies, (2) teachers' creativity, and (3) teaching methods. As for external factors, three influences are identified: (1) school environment, (2) families, and (3) community. Third, the positive implications of the academic tradition on students include (1) high achievements, (2) excellent accreditation, and (3) increased student quantity. In conclusion, this study demonstrates that SD Alam Ar-Rohmah has established itself as a leading primary school with a strong academic tradition.
Fine della Guerra fredda in Asia. Pechino, Mosca e Hanoi al tempo del Vietnam (1964-1969)
Authors: Montessoro Francesco
Published: May 2024

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PERSEPSI SISWA TERHADAP PUBLIC SPEAKING MAHASISWA PPL IAINU TUBAN DALAM MEMOTIVASI BELAJAR SISWA KELAS IV SDI DARUT TAUHID TAMBAKBOYO
Authors: Mubaidilla Irfa'i Alfian , Hidayah Alfinatul , Muthmainnah Muthmainnah
Published: May 2024

Anak usia dasar adalah dimana anak memiliki sebuah masalah yang klasik yang sering kita temui seperti merasa bosan dalam mendengarkan sebuah penjelasan pembelajaran. Persepsi anak usia dasar dalam menilai public speaking seseorang dalam hal ini sangat penting untuk menunjang sebuah keberhasilan penelitian. Mahasiswa PPL sangat dituntut untuk bisa berbicara didepan semua orang dalam hal apapun seperti memotivasi belajar anak, tujuan dari penelitian ini yaitu untuk mengetahui persepsi siswa terhadap public speaking mahasiswa untuk memotivasi belajar siswa. Dalam penelitian ini, metode yang digunakan adalah metode deskriptif kualitatif. Metode kualitatif ini, siswa yang menjadi instrumen dalam penelitian dan analisis dilakukan secara terus menerus dari awal penelitian hingga analisis data. Hasil yang didapatkan dalam penelitian ini yaitu bahwasanya public speaking mahasiswa PPL dalam memotivasi belajar siswa berpengaruh dalam keberhasilan pembelajaran.persepsi siswa terhadap public speaking mahasiswa ppl iainu tuban dalam memotivasi belajar siswa adalah positif dengan rentang kategori baik. Persepsi siswa terhadap komunikasi mahasiswa juga dalam rentang baik dan positif dalam peningkatkan motivasi belajar.
CLASSIFICATION OF EDUCATIONAL COMPUTER GAMES, THEIR ROLE AND PLACE IN THE EDUCATIONAL PROCESS
Authors: Медетбаева С.А. , Тенгаева А.А. , Дукенов Т. , Дуйсен З.
Published: May 2024

Индустрия компьютерных игр стремительно растет и ускоряется с появлением новых технологий. Игры меняют не только отдельные привычки людей, но и глобальное поведение социума. В связи с этим, многие ученые признают необходимость дополнительных исследований в этой области для достижения положительных результатов от использования геймифицированных систем. Данная статья посвящена рассмотрению основных подходов к классификации компьютерных игр, применяемых в обучении. Проведенный в этой статье анализ возможных классификаций компьютерных игр и оснований для новых классификаций служит, на наш взгляд, иллюстрацией того, насколько многообразны компьютерные игры – в том числе, по своим психологическим аспектам и характеристикам.
АНАЛИЗ ЗАТРАТ ПОЛЬЗОВАТЕЛЕЙ НА ОСНОВЕ ПЛАТЕЖЕЙ ДЛЯ РЕКОМЕНДАЦИИ В МОБИЛЬНЫХ ПРИЛОЖЕНИЯХ
Authors: Bagdauletova D.B. , Tolen A.M. , Akshabayev A.K.
Published: May 2024

The innovation in payment methods has become one of the breakthroughs in the ways of consumption of goods and services. The system provided by mobile payments is also an important platform for promoting online business. Personalization of the recommendation system is an important part of the business, which is based on personal preferences, interests and purchasing behavior. User data collected from previous purchase histories will be further processed and used to offer similar or interesting products and information based on certain machine learning algorithms for them. This article introduces cost analysis of a mobile application user based on artificial intelligence to enable online platforms to create a business model for recommendation systems inside the application. Machine learning is one of the tools with highly automated information extraction from large amounts of data. In this paper, we will consider machine learning in forecasting and analysis.
PACKET ANALYZER OF ONLINE ECG SIGNALS
Authors: Bezerra José Paulo Modolo , Müller Sandra Mara Torres , Mestria Mário
Published: May 2024

This paper presents the implementation of online acquisition software for electrocardiogram (ECG) signals. This program is based on the Python language and it allows the adaptation of a commercial offline signal acquisition board into an online signal acquisition board. Here, the concept of online acquisition is applied when the signal can be analyzed in short time intervals, such as a few seconds. The developed system is divided into two parts: the acquisition module; and the graphical user interface (GUI). The acquisition module is responsible for recording and processing the raw signal, making it available to the graphics module. The developed structure allows the algorithm to be used in more complex applications, abstracting the acquisition logic. Furthermore, the acquisition module has acquisition settings, defined by the user when initializing the module. This work presents a simple example of an application using the module. In this case, the system stores the information from the acquisition module and constantly plots it on the screen. The program also integrates settings available by code, using command-line arguments. Therefore, the developed system presents itself as a powerful tool for online ECG signal acquisition, allowing the use of the board in human-machine interfaces.
TECENDO REFLEXÕES: SOBRE A OBRA A MULHER QUE MATOU OS PEIXES DE CLARICE LISPECTOR
Authors: Braz Isabelle Rayra Alves , Gomes Danielly dos Anjos , Melo Neto Moisés Monteiro de
Published: May 2024

O presente artigo propõe uma análise crítica da obra A mulher que matou os peixes (1968), de Clarice Lispector, adentrando o universo da literatura infantil. Abordaremos aspectos empregados na narrativa como o diálogo com o leitor, o uso da oralidade, o emprego de ilustrações e a presença da temática da morte. Para embasar nossa análise, utilizaremos como referencial teórico os escritos de Coelho (2000), Zilberman (2015) e Lajolo (1988) sobre literatura infantil, além das reflexões de Zinani (2010), Moisés (1970) e Serra (1998) acerca das características presentes na obra de Clarice Lispector. A escolha por explorar o livro em questão foi motivada pela maneira como a autora aborda os dilemas da vida, tornando-os acessíveis e compreensíveis para os leitores infantis. Suas histórias cotidianas permitem que os jovens leitores se identifiquem e compreendam melhor suas próprias experiências.
Impact of Corporate Social Responsibility on Consumer Buying Decision: An Empirical Study
Authors: Alotaibi Ibrahim
Published: May 2024

This research was conducted to study the impact of corporate social responsibility on consumer buying decisions and analyzed whether the consumer purchase decision is influenced by variables such as organizational reputation, corporate social responsibility awareness, loyalty, motivation, strong corporate social responsibility, and brand names and image. A survey has been conducted via an online platform (Google Forms) to know the perspective of the respondents concerning the corporate social responsibility influence on their buying decisions and purchasing habits. Primary data is gathered and analysed by SPSS. We observed the buying decisions of the consumers were mainly influenced by the strong corporate social responsibility of the company or brand. Also, we observed that the loyalty driven by corporate social responsibility and awareness of corporate social initiatives practised by an organization or brand has positively influenced consumer buying decisions. However, there is no significant influence by organizational reputation, brand image, and motivation therefore they are not direct influencers of consumer buying decisions.
Assessing the Liquidity Position of Selected Pharmaceutical Companies in India: A Comparative Analysis Before and After COVID-19
Authors:   Department of Commerce Cooch Behar Panchanan Barma University West Bengal, India, Roy Abhijit
Published: May 2024

This study aims to assess the liquidity position of selected pharmaceutical companies before and after the COVID-19 pandemic. Utilizing liquidity ratio data from 2018 to 2022, the research evaluates changes in financial health for companies like Sun Pharma, Aurobindo Pharma, Lupin Ltd, Cipla Ltd, Dr. Reddy, Cadila Healthcare, Glenmark, Torrent Pharma, Alkem Laboratories, and Divis Lab. The analysis highlights a mixed response in liquidity positions, with some measures showing slight decreases while others display significant increases post-pandemic. The findings suggest that while certain aspects of liquidity have improved, overall stability varies across different financial metrics. The findings of this study are expected to contribute to the existing literature on financial performance in the pharmaceutical sector during global crises, offering valuable insights for investors, policymakers, and corporate managers. Keywords: Pharmaceuticals Industry, Covid19, Financial Ratios, India.
‘5D PRINTING’ -THE NEW ERA IN DENTISTRY! -A NARRATIVE REVIEW
Authors:   Post Graduate Student, Dept of Prosthodontics, Lenora Institute of Dental Sciences, Rajahmundry, A.P, India, K Dr.JayaLakshmi
Published: May 2024

3D printing technology has a wide range of applications in various industries. It is widely used to produce complex 3D structures, but it has some limitations such as a limited amount of material, etc., which have been overcome with the introduction of 4D printing technology. In 4D printing, which involves time as a function and the combination of smart materials, this enables properties such as changing form and function.[1]Five-dimensional (5D) printing is a new branch of additive manufacturing (AM) with great potential to solve problems in engineering, medicine, dentistry and other related fields. It is the latest technological advancement used to produce complex and intricately shaped products, implants and devices with much better physical properties than those obtained by three-dimensional (3D) printing. The concept of 5D printing originated from William Yerazunis of the American University of Mitsubishi Electric Research Laboratories (MERL). In 5D printing, the printing plate also moves with the printing head during the printing process. in 3D printing techniques.[1]four-dimensional (4D) printing is the concept of using a smart material that can change the shape of a printed object over time as the temperature changes. [2] One of the advantages of 5D printing is the use of 25% less material than 3D printing. Five-dimensional printing is all about efficiently manufacturing this complex and curved structure with maximum strength. Using computer-aided design (CAD) data to produce super strong dental implants, orthodontic brackets, crowns, aligners, bridges and appliances. This CAD data is created using the dentist's 3D scanner / different design software.[1] 5D printing of five axes: [1], 1.X-axis ;2. Y-axis;3. Z axis; 4. Movable print head and 5. Movable printing base.5D printing is an advanced manufacturing technology that builds on the concept of 3D printing and adds customization options and features. While 3D printing requires the creation of three-dimensional objects layer by layer, 5D printing allows additional functions or features to be added to a printable object, often dynamically or responsively. its role in dentistry may be limited due to the newness of the technology.
Nature-inspired approaches in Software Fault Prediction
Authors:   Department of Information Technology, Maharaja Agrasen Institute of Technology affiliated to Guru Gobind  Singh Indraprastha University, Rohini, Delhi, Jain Vidhi
Published: May 2024

In software engineering, predicting software faults is a crucial task for ensuring high software quality and reducing costs. In recent years, nature inspired approaches have been increasingly used in software fault prediction. In this paper, we explore the effectiveness of six nature inspired algorithms, namely Ant Colony, Particle Swarm Optimization, Firefly, Bat, Harris Hawks, and Genetic Algorithm, for software fault prediction. We evaluate the algorithms using three commonly used datasets, JM1, CM1, and PC1. Our experimental results show that nature inspired approaches can effectively predict software faults, with some algorithms performing better than others depending on the dataset used. Our findings suggest that these approaches have potential to be used as a practical and efficient means for software fault prediction. Keywords— nature inspired algorithms; PSO; Ant Colony Optimization; Harris Hawks; Genetic Algorithm (GA); python programming; Jupyter Notebook; confusion matrix;
Text-to-3D Non-Deformable Animation: A Proof-of-Concept System using Natural Language Descriptions
Authors:   Department of Computer Science and Information Technology,  Kalinga University, Naya Raipur  India, Assiakwa Joel
Published: May 2024

The ability to generate 3D animations from natural language descriptions has significant potential in various fields, including entertainment, education, and computer-aided design. This research paper presents a novel proof-of-concept system that transforms text prompts into complete and simple 3D animations. The system architecture comprises two main components: extraction and scene creation. In the extraction phase, a transformer model identifies the necessary objects from the text prompt, generates their geometric representations as vertices and edges, and creates a script describing the animations. The scene creation phase involves constructing the 3D objects, adding them to the scene, and rendering the animation based on the generated script. The implementation details, including the technologies and tools used, code snippets, and challenges faced, are thoroughly discussed. Qualitative and quantitative evaluations are conducted to assess the system's performance, highlighting its strengths and limitations compared to existing text-to-animation approaches. Potential applications of the proposed system are explored, ranging from rapid prototyping of 3D animations to interactive storytelling and educational tools. Furthermore, future research directions, such as improving scalability, generalization, and real-world deployment, are outlined. The research presented in this paper contributes to the emerging field of text-to-animation generation and paves the way for further advancements in transforming natural language descriptions into engaging and immersive 3D experiences.
ENHANCED SECURITY MEASURES FOR NATIONAL IDENTITY CARD USING IMAGE STEGANOGRAPHY
Authors:   Department of Master Computer Application, Sri Manakula Vinayagar, Engineering College, Pondicherry-605 107 ,India., M .VASUKI
Published: May 2024

National identity documents are essential cards issued by official authorities, typically containing a photo and used for various purposes within a country, such as travel, electronic identification, and access to secure locations. These documents incorporate multiple security features to combat forgery, yet criminals increasingly target the manipulation of genuine documents and facial images. Trusted identity is crucial for societal function, necessitating continuous improvements in security measures by governments and ID manufacturers. To address this, we present StegoCard, a novel steganography method specifically designed for concealing messages within facial images commonly found on IDs. StegoCard employs a series of Deep Convolutional Auto Encoders to embed secret messages into facial portraits, creating stego facial images. These stego images can then be decoded by Deep Convolutional Auto Decoders, even after being printed and captured digitally. Our StegoCard approach outperforms existing methods like StegaStamp in terms of perceptual quality, as demonstrated by metrics such as Peak Signal-to-Noise Ratio, hiding capacity, and imperceptibility. By leveraging deep learning and steganography, StegoCard enhances the security of national identity documents, contributing to the preservation of trusted identities within society. KEYWORD:Deep Learning, Steganography,Recurrrent proposal Network(RPN)
DIGITAL TRANSFORMATION IN FINANCIAL SERVICES: OVERVIEW OF BEFORE AND AFTER THE PANDEMIC
Authors:   Assistant Professor&Research Scholar,  Vidhya Sagar Women’s College. Chengalpattu, R RAMAPRABHA
Published: May 2024

This research examines the significant impact of digital transformation on the financial services sector, focusing on evolutionary changes that occurred before and during the worldwide pandemic. The core goals are to assess the scope of digital transformation in financial institutions, identify important obstacles and possibilities, and examine the techniques used to manage the changing landscape. Data were gathered from a varied group of financial institutions to ensure a complete picture of the sector. The findings show a large increase in digital use before the pandemic, with the pandemic acting as a catalyst for digital activities. Data-driven methods were critical for improving client experiences, increasing operational efficiency, and resolving cyber security issues. The conversation focuses on the industry's resilience in the face of enormous shocks, highlighting the vital role of technology in crisis management. Significant results include a growth in remote banking services, a greater dependence on artificial intelligence for fraud detection, and the adoption of cloud-based solutions for scalability. These findings illustrate the revolutionary impact of digital technology in altering the financial services industry. This comprehensive overview contributes to our understanding of the dynamic relationship between digital transformation and the financial services sector, providing valuable insights for industry stakeholders, policymakers, and researchers. Key Words: World Pandemic, Operational efficiency, Financial Institutions, Stakeholders, Artificial Intelligence
Desktop Assistant using Machine Learning
Authors:   Department Of Computer Science and Engineering  IIMT College Of Engineering, Srivastava Arushi
Published: May 2024

The post-2017 era witnessed a surge in desktop assistants and voice searches, driven by advancements in technology, notably in mobile phones and desktops. Breakthroughs in AI, NLP, and ML empowered devices to understand and respond to human commands effectively, laying the groundwork for voice-driven functionalities. Mobile phones and desktops evolved as central hubs for digital activities, necessitating seamless integration and user-friendly interfaces. Desktop assistants serve as bridges, facilitating intuitive interaction. The demand for faster and more reliable input led to the development of desktop assistants leveraging voice recognition technology, offering hands-free interaction. Desktop assistants make technology interaction convenient and enjoyable by incorporating natural language understanding, allowing fluid conversations and enhancing user experience. AI plays a crucial role, enabling assistants to comprehend context, learn, and adapt to preferences, providing personalized and contextually relevant services. Their applications span personal productivity and smart home automation, offering assistance in tasks like setting reminders and controlling connected devices. Despite advancements, challenges like privacy concerns and data security require attention. Balancing convenience and privacy remains a paramount challenge. Future trends include enhancements in NLP, increased personalization, and integration with emerging technologies like AR and VR, promising more immersive interactions. Keywords: Voice searches, Advancements in technology, AI, ML, User-friendly interfaces, Voice recognition technology, Natural language understanding, Personalized services
Car Rental System Authors:
Authors:   IIMT college of Engineering, Greater Noida, singh Aman
Published: May 2024

The Car Rental System enables customers to reserve vehicles from anywhere globally. By providing personal information, customers can create accounts on the website and proceed to reserve cars according to their preferences. This online system automates manual procedures effectively, aiding customers in filling specific details as per their needs. The goal is to establish a website for customers to book vehicles and request services worldwide KEYWORDS: Car Rental System, Online Booking, PHP, PHPMYADMIN, XAMPP, Database Management, System Analysis, Feasibility Analysis, User Interface Design, Data Flow Diagram, Sequence Diagram, ER Diagram, Database Connectivity
SURFACE MOBILITY SOLUTION
Authors: Sharma Ganesh
Published: May 2024

In the Nagpur City of Maharashtra, the barrier of transportation in the daily life. Amidst mixture of sounds of honking horns and bustling streets, an intricate web of challenges come face to face with drivers and transportation professionals at every turn. As I delved into Nagpur's mobility landscape, engaging with drivers. The journey of exploration began with a simple premise: to understand the quality of being complex mobility challenges from the perspective of those entrenched in the frontline of transportation. Through extensive interviews and surveys, I sought to peel back the layers of complexity surrounding issues that impact drivers' livelihoods, schedules, and overall efficiency. What emerged from these interactions were recurring themes, echoing the sentiments of drivers navigating the labyrinthine streets of Nagpur: Documentation and Permit Predicaments: A maze of paperwork and bureaucratic hurdles often impedes the seamless flow of operations for drivers. From license renewals to permit applications, navigating the labyrinth of documentation requirements proves to be a formidable task, with delays rippling through the fabric of daily operations. Route Riddles: In a city where every turn can make the difference between timely arrival and frustrating delays, the lack of familiarity with optimal routes emerges as a significant challenge. For drivers, deciphering the shortest path from point A to point B is akin to navigating through a complex puzzle, where each intersection presents a myriad of choices, each with its own consequences. time Constraints and Efficiency Dilemmas: In the world of transportation, time is money, and every minute lost to loading and unloading delays translates into tangible losses for drivers. Whether it's waiting in line at a distribution center or grappling with the intricacies of cargo handling, the specter of inefficiency looms large, casting a shadow over the profitability of operations. Technological Turbulence: As the world hurtles towards an increasingly digitized future, the divide between technological proficiency and traditional practices widens. For drivers grappling with the complexities of GPS navigation systems and digital documentation platforms, the learning curve can be steep, posing yet another barrier to efficiency and competitiveness.
Blockchain Empowered: Revolutionizing Agro-Based Supply Chain Management
Authors:   Department of CSE, Assistant Professor, Dhanalakshmi Srinivasan Engineering College (Autonomous), Perambalur., S MR CHINNADURAI
Published: May 2024

Agriculture, the mainstay of rural India, provides livelihoods to 70% of the rural populace. However, it is beleaguered by supply chain inefficiencies, leading to losses of up to 5.99% in cereals and a whopping 60% yield loss for farmers. The prevailing supply chains are often shrouded in obscurity, with a scant 6% of businesses having complete visibility. This lack of transparency culminates in inefficient processes and potential delays in order fulfilment, engendering customer dissatisfaction and financial losses. The emergence of blockchain technology, however, offers a beacon of hope. Blockchain provides a transparent platform where all stakeholders can access and verify the movement of goods. This transparency not only bolsters customer trust but also enhances their satisfaction levels. Moreover, blockchain technology optimises inventory management and logistics, thereby reducing waste and boosting productivity. These enhancements translate into substantial cost savings. The advent of blockchain could revolutionise agricultural supply chains in India. By providing a transparent and efficient system for tracking the movement of goods, blockchain could eliminate many of the current inefficiencies. This would not only lead to increased profits for farmers but also ensure that consumers have access to fresh and high-quality produce. Furthermore, the use of blockchain could also promote sustainable farming practices by making it easier to track and verify the use of environmentally friendly methods. In conclusion, blockchain technology has the potential to transform the agricultural sector in India, making it more efficient, transparent, and sustainable. Keywords— Blockchain, Agriculture Supply chain management, Agriculture-based industries, Traceability, Smart contracts, Food quality monitoring, Sustainability.
Review Paper- “A STUDY ON INTROUDUCTION TO THE BANKING SECTOR IN INDIA”
Authors:   PG Student, ARMIET, Mumbai University,, Dongare Mr. Vaibhav
Published: May 2024

The banking sector in India plays a pivotal role in the country's economy, acting as a backbone for financial intermediation and economic growth. Over the past decade, the sector has witnessed significant transformation driven by regulatory reforms, technological advancements, and changing consumer preferences. The banking sector in India is a critical component of the country's economy, serving as a catalyst for financial inclusion, economic growth, and development. This abstract provides a concise overview of the key aspects shaping the Indian banking landscape. It highlights the regulatory reforms undertaken by the Reserve Bank of India (RBI) to strengthen the sector's stability and resilience, including the implementation of Basel III norms and the introduction of frameworks like Asset Quality Review (AQR) and prompt corrective action (PCA). The abstract also emphasizes the transformative impact of digital technologies on the banking sector, driving innovation, enhancing customer experience, and expanding access to financial services. Furthermore, it discusses the challenges faced by Indian banks, such as non-performing assets (NPAs) and stressed assets, and the initiatives undertaken to address these issues, including the insolvency and bankruptcy code (IBC). Despite challenges, the abstract underscores the significant growth opportunities in the Indian banking sector, fueled by demographic trends, urbanization, and increasing financial literacy. Overall, the abstract suggests that while the Indian banking sector faces both opportunities and challenges, it remains a dynamic and integral part of the country's economic landscape, poised for continued evolution and growth. Keywords – Banking Regulation, Reserve Bank of India (RBI), Financial Inclusion, Digital Banking, Insolvency and Bankruptcy Code (IBC).
Stress Detection Based on Naïve Bayes Algorithm
Authors:   Department of Computer Science and Engineering ,                        IIMT College of Engineering , Greater Noida , U.P, Verma Aditya kr.
Published: May 2024

Tension is a widespread concern impacting the mental and physical health of individuals, resulting in various health issues. Machine-based learning (ML) has emerged as a favored tool for identifying tension. ML strategies have displayed encouraging outcomes in recognizing trends and attributes from different physiological and behavioral data streams such as heart rate, blood pressure, and vocal signals. The main objective of utilizing ML for tension detection is to offer precise, non-invasive, and economical approaches for early tension identification and intervention. Overall, ML-based tension detection shows substantial potential for delivering an impartial, effective, and expandable strategy for tension monitoring and intervention. Additional exploration is needed to tackle the obstacles linked to data compilation, attribute extraction, and model adaptation to varied populations and scenarios. Keywords: Automated Learning, Simple-minded Bayes, Information, Gloom, Tension.
Supply Chain Management in the Indian Pharmaceutical Industry: Challenges, Innovations, and Future Directions
Authors:   NIMS University,Jaipur, Saifi, Usama
Published: May 2024

Supply chain management (SCM) plays a crucial role in the pharmaceutical industry by ensuring the efficient flow of pharmaceutical products from manufacturers to end-users. The Indian pharmaceutical industry, renowned for its generic drug manufacturing capabilities, faces unique challenges and opportunities in SCM due to factors such as complex regulatory requirements, diverse market dynamics, and evolving global standards. This paper examines the intricacies of SCM in the Indian pharmaceutical sector, exploring key challenges, innovative practices, and future directions to enhance efficiency, transparency, and resilience across the supply chain.
Optimizing Cloud Broker Profitability through Advanced Cloud Computing Techniques
Authors:   B.C.A Student, Department of Computer Science   St Joseph’s First Grade  College, Jayalakshmipuram, Mysuru, Karnataka., Lobo Sophia
Published: May 2024

Cloud computing has gained significant traction as an efficient solution for delivering on-demand computing resources and services. For cloud service providers, ensuring profitability while maintaining service quality is crucial. However, the prevalent single long-term renting approach often results in compromised service quality and substantial resource wastage. To address this, our paper proposes a pioneering double resource renting scheme that integrates short-term and long-term renting. This innovative approach not only guarantees optimal service quality for all requests but also significantly minimizes resource wastage. We adopt an M/M/m+D queuing model to analyse the performance indicators affecting the profitability of our double renting scheme, including the average charge and the ratio of requests necessitating temporary servers. By formulating a profit maximization problem tailored to the double renting scheme, we derive an optimized cloud platform configuration. Comparative calculations between our proposed scheme and the traditional single renting scheme demonstrate that our approach not only ensures superior service quality for all requests but also yields increased profitability. Key Words- Cloud computing, Double resource renting, Service quality, M/M/m+D queuing model, Performance indicators, Profit maximization, Short-term renting, Long-term renting.
Comparative Analysis of JavaScript Frameworks
Authors:   Student, ADGIPS, Shastri Park, New Delhi, INDIA
Published: May 2024

The objective of this research was to evaluate three popular JavaScript frameworks based on their popularity, learning difficulty, and performance, in order to assist readers in making a well-informed decision regarding which framework to use for their project. Data from the top three software development collaboration platforms were collected and analyzed to determine the popularity of each framework, with React emerging as the most widely used. To assess the learning curve of each framework, their official technical documentation was reviewed, considering factors such as syntax, architecture, data management, lifecycle, and ease of implementing third-party libraries. The study found that Vue was the most user-friendly framework to learn. To evaluate performance, a simple single page application was constructed and tested using each framework, with Vue demonstrating the fastest performance. In conclusion, it was determined that React is the ideal choice for those seeking employment opportunities, Vue is best suited for small scale applications requiring efficient performance, and Angular is more suitable for larger, more intricate projects. However, further research is necessary to compare frameworks when building complex applications. Key words- JavaScript frameworks, Angular, React, Vue.
Transforming Service Management: The Implementation of AMC Software Solutions in Modernizing Product Servicing
Authors:   Department of Computer Applications, Babu Banarasi Das University, Lucknow, India, Gupta Pranjal
Published: May 2024

In today's dynamic business environment, organizations are compelled to adapt swiftly to stay competitive. Smart Information Management has emerged as a crucial strategy for achieving agility and efficiency. This paper introduces the concept of the AMC Management System, a comprehensive software solution designed to optimize product servicing within the framework of UPRNNS. The AMC system aims to automate and streamline complaint registration, resolution, and data management processes, thereby enhancing customer satisfaction and operational efficiency. This paper explores the objectives, challenges, proposed digital solution, business needs, scope, benefits, and project analysis of the AMC Management project. Additionally, it outlines the software requirements, entities involved, modules, and future scope of the project, highlighting the potential for integrating advanced technologies such as artificial intelligence, machine learning, and the Internet of Things to further enhance service delivery and customer engagement. Keywords— Smart Information Management, AMC Management System, Product Servicing, Automation, Customer Satisfaction, Digital Solution, Future Scope.