bluuebunny/crossref_metadata_2025 huggingface dataset:
DETEKSI PENYAKIT BERCAK COKLAT, COKLAT SEMPIT DAN HAWAR MELALUI SPEKTRUM WARNA CITRA DIGITAL DAUN PADI MENGGUNAKAN METODE CONVOLUTIONAL NEURAL NETWORK
Authors: Cipta Rito , Khoerunisa  , Saraswati Nurul Mega Saraswati , Rizki Noor Prasetyono  , M. Zidan Alfariki
Published: June 2023

Rice is a prominent food crop commodity and has high potential in the agricultural sector, where rice is a staple food source for Indonesian people. This rice plant certainly has several obstacles, one of which is the presence of rice plant disease attacks through rice leaf spot which can cause crop failure, causing farmers to experience many losses and resulting in poor crop quality, namely empty or empty rice. The long identification process and if the treatment for this disease is very slow will cause the cost of treatment to swell. The use of digital image processing technology in solving problems in this study is to identify rice diseases through digital images based on the morphology of rice leaf spots. One way is by image classification or object classification in the image. The method that can be used in classifying this image is the Convolutional Neural Network (CNN). The accuracy obtained from the Convolutional Neural Network method is based on the 2 types of architecture used, namely the Letnet-5 architecture produces an accuracy of 85% and the Custom architecture produces an accuracy of 90%.
EVALUATING THE QUALITY OF INFOLOKER KAB.KARAWANG WEBSITE USING WEBQUAL 4.0 METHOD
Authors: Setiyani Lila , Tobi Tobi , Effendy Femmy
Published: June 2023

Technology has provided new methods of presenting the information. Information can be easily accessed anywhere and anytime. One of the Regional Governments of Indonesia takes this advantage by creating an information system called InfoLoker Kab. Karawang to make it easier for citizens to find job vacancies. Of this importance, it interests researchers to conduct a study to evaluate the website’s quality based on the dimensions of the WebQual 4.0 method. WebQual is a method for measuring a website's quality based on the end user's point of view. The data source is taken from InfoLoker Kab. Karawang website users through a survey method with a sample of 118 respondents and data analysis using SmartPLS. According to the discussion results, the quality of the InfoLoker Kab. Karawang’s website was good, with ratings of 73.3%, 74.3%, and 62.2% for the dimensions of usability, information quality, and service interaction quality, accordingly. Overall user satisfaction is significantly impacted by the quality of the information and service interactions, but not by usability because usability’s t-value is under 0.96. However, the website's quality can still be improved, particularly in the service interaction dimension, by improving the security of the user's personal information because even though the service interaction quality dimension significantly influences user satisfaction, it has the lowest quality score
IMPLEMENTASI PEMILIHAN VENDOR SUKU CADANG MOTOR DENGAN METODE ANALYTICAL HIERARCHY PROCESS (AHP)
Authors: Sipayung Evasaria Magdalena , Prasojo Thomas Lucky , Sirait Tamsir Hasudungan
Published: June 2023

MU Bersama Spare Parts Shop is a shop that provides motorcycle spare parts that provides motorcycle spare parts for various types of motorcycles such as automatic, cub, and sport. Motorcycle spare parts products that are sold also vary, including Oil, Spareparts, Body Parts, Tires, and Batteries. Currently, the products in the MU Bersama Motorcycle Parts Shop are around 1000 SKUs. To provide spare parts products needed, MU Bersama Shop ordered products from several motorcycle spare parts vendors. However, shop owners have difficulty in selecting vendors when the vendors who supply certain motorcycle spare parts products cannot provide the products needed so that the shop owners need more time, which is about 1-2 days to determine the vendor of motorcycle spare parts products needed by the shop. This study aims to produce an information system that can be used to assist in the vendor selection process and assist in providing evaluations of vendors based on criteria determined by shop owners including price, quality, accuracy, communication, and availability. The research was conducted using literature review methods, interviews, field observations, data processing and analysis, system design, system implementation, and system testing. The system is designed using the Analytical Hierarchy Process (AHP) method as the calculation method. From the results of the research conducted, it is possible to produce an information system for selecting vendors at the MU Bersama Store with the Analytical Hierarchy Process (AHP) method which is used to help cut the time required in selecting vendors.
SOME LINGUISTIC AND STYLISTIC PROPERTIES OF THE KING JAMES BIBLE
Authors: Gasparyan Seda
Published: June 2023

Investigations of biblical texts have always been the topic of heated discussion among theologians and linguists, as well as representatives of other scientific disciplines. Over the years, the biblical stories and testimonies have been persistently challenged by different scholars, with a particular emphasis on the language of the Bible. In this paper, we dwell upon the events preceding the emergence of the King James Version and the immense authority that the KJV gained both in the churches of England and among the common people of the British Isles. As this translation of the Bible was authorised by King James, it is often referred to as the Authorised Version, and has become the Official Bible of England. Many people still believe that the KJV is The Bible, since according to them, its creation was inspired by God himself. Hence it becomes essential to reveal the factors which contribute to the supremacy of its language and majesty of style.
Kecerdasan Place-making Pentas Barong Kemiren, Banyuwangi
Authors: Hadinugroho Dwi Lindarto , D.D. Harisdani  , Rahman Masyithah
Published: June 2023

Desa Kemiren, Kecamatan Glagah, Banyuwangi memiliki atraksi Barong Kemiren yang  berpotensi sebagai unsur pembentuk identitas tempat. Identitas tempat salah satunya dapat terwujud oleh kegiatan lokal. Kajian ini secara arsitektural bertujuan mengungkapkan bagaimana atraksi Barong Kemiren membentuk suatu tempat yang disebut sebagai konsep place-making . Menggunakan pendekatan kualitatif fenomenologis dilakukan jelajah terhadap hubungan timbal balik antara jalan, lapangan, ruang publik dengan aktivitas tarian Barong Kemiren yang akhirnya membentuk tempat berkarakter sebagai suatu place attachment. Dengan metode kritik interpretatif evocatif diungkapkan bahwa pentas Barong Kemiren memiliki locally distinctiveness. Hasil analisis menunjukkan bahwa produksi place Kemiren memenuhi kaidah pentas dramaturgi, back-stage, audio visual place, boundary, audience place, interaction, atmosphere, stage-catwalk dalam versi lokal yang unik dan berkarakter. Masing-masing panggung   tersebut berpotensi membentuk linkage yang berfungsi sebagai pengarah  kunjungan wisata. Linkage antar panggung Barong Kemiren tersebut merangkai atraksi  wisata desa Kemiren berupa serial vision dan sequencial view tourism. Manfaat kajian pembentukan panggung Barong Kemiren dapat dikatakan sebagai kecerdasan lokal tentang konsep place-making.
Studi Transfigurasi Masjid melalui Periodisasi Pembangunan Masjid di Indonesia
Authors: A.Hildayanti  , Wasilah
Published: June 2023

Perkembangan masjid di Kota-kota besar Indonesia seakan mulai merubah “image” masjid yang identik dengan kubah melalui bentuk-bentuk yang memetaforakan budaya dan modernisasi dengan tujuan menciptakan bangunan yang ikonik. Permasalahan yang muncul kemudian adalah perlahan hilangnya pakem kubah dari bagian wujud masjid. Eksistensi kubah seakan telah tertanam dibenak masyarakat sebagai penanda keberadaan rumah ibadah ummat Islam (masjid) sebagai unsur landmark mulai melebur. Penelitian ini bertujuan untuk mengkaji faktor yang mempengaruhi transfigurasi masjid dan periodisasi bentuk masjid di Indonesia. Melalui metode penelitian studi kasus, penelitian ini akan menginterpretasi perubahan yang terjadi pada perkembangan masjid secara spesifik dan realistik. Sehingga diperoleh hasil penelitian bahwa masjid sebagai tempat ibadah umat Islam pada dasarnya tidak memiliki aturan khusus dalam desain bentuk bangunannya. Bentuk bangunan masjid yang identik dengan penggunaan kubah kini mulai dikembangkan mengikuti aliran arsitektur baru dan berkembang. Keberadaan kubah pada masjid selama kurun waktu yang panjang memberikan pandangan bahwa kubah pada masjid tidak bisa dipisahkan, meskipun kubah sebagai penutup atap pada masjid bukanlah suatu keharusan.
Fenomena Pedagang Kaki Lima pada Kawasan Masjid Raya Baiturrahman, Banda Aceh
Authors: Karsono Bambang , Maghfira  , Fidyati  , Olivia Sisca
Published: June 2023

Pedagang kaki lima (PKL) merupakan salah satu fenomena di perkotaan yang selalu menarik menjadi topik diskusi dan diteliti. Kesempatan kerja di sektor formal di kota yang terbatas menjadikan PKL sebagai alternatif bagi masyarakat untuk memperoleh pendapatan. Aktivitas PKL dikategorikan sebagai informal, tumbuh secara spontan, mudah cara pengoperasian dan kadang kala tidak ada prosedur standar yang mengaturnya. Ada kalangan yang mendukung bahwa keberadaan PKL di ruang perkotaan karena dapat memberikan dampak positif bagi keberlangsungan kehidupan perkotaan (livability). Namun ada juga yang mempermasalahkan keberadaannya dengan alasan ruang kota menjadi tidak teratur. Di Kota Banda Aceh, PKL tumbuh menyebar dan mendominasi ruang publik di sepanjang koridor jalan. Kajian ini bertujuan mengungkapkan faktor penyebab, cara pemanfaatan koridor jalan yang didominasi oleh pedagang kaki lima serta dampak positifnya terhadap livability dan keberlanjutan kota. Penelitian memilih PKL pada satu koridor jalan di Kawasan Masjid Raya Baiturrahman, Banda Aceh sebagai studi kasus. Pendekatan penelitian metode campuran diterapkan dalam penelitian ini, data kuantitatif dan kualitatif diperoleh melalui observasi, pemetaan, photo-trekking, dan wawancara. Analisis data dilakukan dengan cara triangulasi deskriptif, guna mengungkap keterkaitan antar fenomena. Hasil penelitian menunjukkan bahwa fenomena PKL pada kawasan studi kasus memberi kontribusi kepada keberlangsungan kehidupan kota dan menjadi generator kegiatan pada siang dan malam hari. Di sisi lain, tempat tersebut menunjukkan tingginya tingkat ketergantungan tempat bagi PKL untuk memperoleh pendapatan.
Pemilihan Moda Transportasi Menuju Stasiun Jurangmangu Menggunakan Metode Analytical Hierarchy Process (AHP)
Authors: Philip Fredy Jhon
Published: June 2023

Pemilihan moda transportasi di kawasan perkotaan menjadi salah satu aspek penting dalam melakukan perjalanan yang dipengaruhi beberapa faktor antara lain kondisi keamanan, kenyamanan, frekuensi, biaya, waktu, jarak dan juga melihat pada karakteristik responden pelaku. Penelitian ini bertujuan untuk mengetahui pilihan masyarakat dalam menggunakan transportasi menuju stasiun Jurangmangu. Metoda AHP (Analytic Hierarchy Process) yang diaplikasikan dengan software Expert Choice (EC) dapat membantu dalam analisis pemilihan moda menuju stasiun Jurangmangu. Hasil studi menunjukkan bahwa masyarakat lebih memilih moda transportasi menuju stasiun Jurangmangu menggunakan kendaraan pribadi dengan hasil presentase sebesar 64% dibandingkan moda transportasi seperti ojek online sebesar 32%, angkutan umum 2%, bus 2 % dan taksi 0%. Untuk faktor kriteria hasil yang paling unggul merupakan faktor waktu dengan hasil presentase sebesar 26.4%, Frekuensi 21.5%, keamanan 20.4%, jarak 12.8%, dan biaya 6.8%.
Phototherapy Effects on Zinc Level of Neonates With Hyperbilirubinemia: A Systematic Review and Meta-analysis
Authors:   Research Center for Environmental Determinants of Health, School of Public Health, Kermanshah University of Medical Sciences, Kermanshah, Iran., Sarokhani Diana , Adibi Amir ,   Department of Child and Adolescent Psychiatry, Faculty of Medicine, Ilam University of Medical Sciences, Ilam, Iran., Abdan Mohsen ,   Research Center for Environmental Determinants of Health, School of Public Health, Kermanshah University of Medical Sciences, Kermanshah, Iran., Fakhri Moloud ,   Traditional and Complementary Medicine Research Center, Addiction Institute, Mazandaran University of Medical Sciences, Sari, Iran.
Published: June 2023

Background: Phototherapy is the most common treatment of neonatal jaundice that affects the zinc level as well as the bilirubin level. Objectives: The purpose of this study is to investigate the effect of phototherapy on the zinc level of infants with jaundice by a systematic review and meta-analysis. Methods: In this systematic review and meta-analysis a comprehensive literature search of the databases, including Cochrane Library, Web of Science, PubMed, Scopus, and Google Scholar web browser was conducted using standard keywords. Data analysis of this meta-analysis was performed using STATA software, version 14 and P<0.05 was considered a significant level for tests. Results: In the five studies reviewed in this article with a sample size of 398 individuals, phototherapy increased the level of zinc [Standardized mean difference (SMD): 0.88 (95% CI: 0.38, 1.38), P<0.001] and decreased bilirubin level [SMD: -7.67 (95% CI: -9.11, -6.23), P<0.001] in infants with jaundice. The effect of phototherapy was on the zinc level of these groups: infants with a birth weight of 3000 to 3300 grams (gr) [SMD: 1.07 (95% CI: 0.42, 1.71), P<0.001] and 3301 to 3600 gr [SMD: 0.40 (95% CI: -0.32, 1.12), P=0.028], three-day-old infants [SMD: 1.05 (95% CI: 0.35, 1.74), P<0.001], four-day-old [SMD: 0.76 (95% CI: 0.26, 1.32)], and 5-day-old ones [SMD: 0.23 (95% CI: -0.01, 0.48)]. In addition, phototherapy affected on zinc level of those whose gestational age (GA) was 37 [SMD: 1.12 (95% CI: 0.06, 2.17), P<0.001] and 38 [SMD: 0.61 (95% CI: 0.15, 1.06), P=0.001] weeks. Conclusions: Phototherapy by reducing the level of bilirubin increases the level of zinc in infants with jaundice. So, the standardized mean difference of “phototherapy effects on the zinc level of infants with jaundice” decreases with increasing infants’ weight, increasing infants’ age, and increasing gestational age.
Diabetes in the Pediatric Age Group: A Case Series and Review of Literature
Authors:   Department of Health Sciences, School of Medicine, University of the Valley of Mexico, Hermosillo, Mexico., Valenzuela-Ruiz Jesús Rodolfo , Bobadilla-Olaje Gustavo Francisco ,   Gynecology and Pediatrics Hospital “Dr. Lucio Mayoral Hernández ”, Mexican Social Security Institute, Hermosillo, Mexico., Calleja-López Jesús René Tadeo ,   Department of Medicine and Health Sciences, School of Medicine, University of Sonora, Hermosillo, Mexico., Ruibal-Tavares Enrique ,   Department of Medicine and Health Sciences, School of Medicine, University of Sonora, Hermosillo, Mexico., Rivera-Rosas Cristian Noé ,   Department of Medicine and Health Sciences, School of Medicine, University of Sonora, Hermosillo, Mexico., Aguilera-Duarte Luis José ,   Department of Medicine and Health Sciences, School of Medicine, University of Sonora, Hermosillo, Mexico., Ruiz-Quiroz Jesús Omar ,   Department of Health Sciences, School of Medicine, University of the Valley of Mexico, Hermosillo, Mexico.
Published: June 2023

Background: Diabetes mellitus (DM) is characterized by sustained hyperglycemia (HG), which has multiple etiologies. The American Diabetes Association (ADA) classifies DM into four major groups. In the pediatric age, DM can be caused by several etiologies. Case Presentation: We present a series of four case reports of DM among pediatric patients caused by different etiologies, to discuss several clinical presentations of DM among children and the teenage population, as well as diverse therapeutic options for the different DM subtypes. Conclusions: We conclude that DM in the pediatric age group has multiple etiologies and presentation variants. Type 1 DM still represents the highest incidence in this age group, however, several factors have aided in the awareness and diagnosis of other types of DM previously considered as rather infrequent in this age group.
Contraindications of COVID-19 Vaccines: A Letter to Editor
Authors:   Department of Paediatrics, Faculty of Medicine, Mazandaran University of Medical Sciences, Sari, Iran., Ghaffari Javad
Published: June 2023

Coronavirus disease 2019 (COVID‐19, the 7th coronavirus) was a pandemic infectious disease with significant morbidity and mortality in the world. The respiratory system is often involved in COVID-19 infection. Underlying disorders such as uncontrolled asthma are a risk factor for COVID-19 infection. For protecting against COVID-19, we need vaccination-associated social care such as facial masks, distance, and sanitizers.
Hepatobiliary Involvement in Neonates With COVID-19 Infection: A Previous Case Series Studies
Authors:   Pediatric Infectious Diseases Research Center, Mazandaran University of Medical Sciences, Sari, Iran., Farhadi Roya
Published: June 2023

Background: The most common symptoms in neonates with severe COVID-19 infection have been respiratory problems. The virus may adversely affect organs such as the liver. Methods: Studies focusing solely on liver involvement in newborns with COVID-19 infection were searched in Pubmed, Scopus, and Google Scholar databases. Eight studies were finally reviewed. Results: Direct viral invasion (COVID-19-induced hepatitis or systemic inflammatory response) and drug-induced may contribute to liver damage in neonates. SARS-CoV-2 may be the latest spark in toxoplasmosis, other agents, rubella, cytomegalovirus, herpes infections, and fetal liver involvement may be induced by transplacental transmission. Conclusions: Hepatic dysfunction is infrequent but important in neonates with COVID-19 infection and the mechanism of liver damage associated with COVID-19 may differ from that in adults.
Web Application for Student Performance Evaluation and Remuneration System
Authors: Amira Shaikh  , Shriya Salian  , Avani Gupta  , Akanksha Gairola  , Mrs. Uma Goradiya
Published: June 2023

Accreditation plays an important role in ranking colleges, requiring correct date. Students Evaluation System helps the engineering faculties to maintain student grades database in an efficient manner and helps in evaluating it to develop a criterion for accreditation. Faculty remuneration system, on the other hand, is a structured approach to determine the compensation and benefits that faculty members receive for their teaching, research, and service activities by generating excel sheet with accurate remuneration received by faculties for conduction of Examination orals and practical. Both the student performance evaluation system and faculty remuneration system are essential components of any educational institution. Effective implementation of these systems requires careful planning, regular monitoring, and continuous improvement based on feedback and data analysis.
Car Insurance System
Authors: Ms. M. S. Sawalkar  , Ruturaj Kumbhar  , Krishna Jamkar  , Mihir Mandlik  , Harshawardhan Patil
Published: June 2023

Many automotive insurance providers are looking to improve their service for their customers, businesses are starting to adapt and implement various methods of analysing data for performance, as a result giving better service for their customers from a better understanding of their needs. The main focus of this project therefore is targeted at automotive insurance providers looking to implement this into their business, the project would also be beneficial to stakeholders. We propose a system built using MERN tech Stack for a better customers experience, by suggesting them the most appropriate cover in time. The requirement for this system is to perform a more efficient up-selling than classic marketing campaigns.
EDBC Algorithm used for Content-Based Image Retrieval
Authors: Vishma Kumar Karna  , Shatendra Dubey
Published: June 2023

The tremendous increase and om- nipresent accessibility of graphic documents on the network led to the high interest in research on content-based image retrieval (CBIR). This has ce- mented the approach for a massive sum of innovative procedures and schemes, and growing curiosity in allied fields to upkeep such projects. Existing associ- ated theories include efficient Content-based Image Retrieval (CBIR) frame by enacting the content- based image, K-means and hybrid clustering is func- tional over combined lineament vector of information images, texture features. In similar cases it is tight in expressing the user’s semantic Intention knowledge to permit information distribution and reuse, models ought to be managed within repositories, where they might be retrieved upon users’ queries. There is still a lack of adequate tools for incisive/handling visual content. In this paper, a novel algorithm Efficient Density-based Clustering Algorithm (EDBC) is sug- gested for content-based image retrieval technique that will enhance scalability and lower maintenance costs significantly, enhance the efficacy of software development.
Chatbot Development Through the Ages : A Survey
Authors: Ishita Shah  , Shrihari Jhawar  , Aashna Khater  , Asher Jacob  , Dr. Girish Potdar
Published: June 2023

A chatbot is a computer program that aims to make a conversation between both humans and machines. The chatbot can be utilized in a variety of platforms, including messaging apps and virtual assistants. The chatbot has evolved a lot in decades starting from amusement usage to performing serious tasks. While designing a chatbot, design considerations like purpose, audience, channels, conversational flow, testing and iterations must be taken into account in order to ensure that it is accurate and user-friendly. Based on its domain, model, and conversation style, a chatbot can be categorized into customer-service, sales, informational, personal assistant, entertainment, health and educational chatbot. Chatbot technology continues to face a wide variety of challenges like contextual understanding, integration with backend systems, personalization, security and user acceptance. This paper explores and compares various recent chatbots from different domains that are being used. We have surveyed the entire development process and the different development techniques used to design chatbots and the audience they cater to. We also look at the various evaluation methodologies used in checking the efficiency and enforceability of the considered chatbots.
The Automatization of Social Media Communication
Authors: Aditya Parashar  , Nikhil Jadhav  , Aniket Madame  , Suhas Deokate
Published: June 2023

This research paper compiles and evaluates several studies that have a particular interest in social media analysis and its applications. Studies on evaluating the impact of movies and television shows on social media platforms, using semantic knowledge graphs to analyze Covid-19 news articles and identify fake news on social media, forecasting social media data using machine learning, and the evolution of the power of central nodes in a Twitter social network are all covered in this article. The significance of sentiment analysis and opinion mining in social media, analysis of social media-based profiles, and mining serendipitous drug use from social media using machine learning are all topics covered in the paper. The paper also emphasizes the application of social media text analysis for a high-frequency-link DC transformer based on switched capacitors for medium-voltage DC power distribution applications, and urban region mining services. The research paper offers details on the state of social media analysis right now and some potential uses for it.
The Significance of Metadata and Video Compression for Investigating Video Files on Social Media Forensic
Authors: Mukesh choudhary  , Anshuman v ramani  , vishwas bhardwaj
Published: June 2023

Digital forensics is an essential aspect of cyber security and the investigation of digital crimes. Digital recordings are routinely used as important evidence sources in the identification, analysis, presentation, and reporting of evidence. There has recently been concern that images and videos cannot be used as solid evidence since they may be altered very quickly due to the abundance of technologies available for the gathering and processing of multimedia data. The main goal of this endeavour is to comprehend advanced forensic video analysis methods to assist in criminal investigations. We first propose the acquisition extraction analysis in a forensic video analysis framework that employs efficient video and image enhancement techniques for low-quality video that would be transferred through social media applications and for CCTV footage analysis. The reliability of digital video recordings is essential in forensic science and other criminal investigation fields. Digital video forensic analysis is a technique that constantly faces new challenges. Currently, videos are authenticated using a variety of parameters, including pixel-based analysis, frame rate analysis, bit rate analysis, hash value analysis, and, most importantly, metadata analysis. It was believed that the development of technology required the development of a new method for the verification of digital video recordings. In this review study, we made a novel attempt by reviewing the media. Information and structural analysis of video containers in the MP4 file format have been used to distinguish between real and altered videos.
Accident Severity Detection Using Machine Learning A Review
Authors: Nagma Bi  , Dr. Halima Sadia
Published: June 2023

One of the greatest challenges in today's world is traffic accidents. It results in fatalities, accidents, and property damage. Making a model that can accurately predict traffic accidents is difficult. The objective of this project is to create a classification system for injuries based on a set of influential factors, including the environment, vehicle speed, driver behaviour, etc. Using data related to traffic accidents, several algorithms are utilized, including AdaBoost, Logistic Regression (LR), Naive Bayes (NB), and Random Forests (RF). Some of the best algorithms are the most effective, including Random Forest, Naive Bayes, and Ada Boost. Compared to LR, NB, and AdaBoost, the RF algorithm performed better, with 75.5% accuracy. To employ various machine learning classification algorithms for traffic accident prediction, the goal of this study is to uncover the underlying causes of road traffic accidents. then decide which prediction model is most likely to help decrease these highway accidents. This paper's goal is to review different authentication procedures offered by numerous scholars around the world.
A Survey on Text Mining - Techniques, Application
Authors: Ajay Jadhav  , Pranjal Jagtap  , Suraj Gurav  , Shivani Jadhav  , Nikita Jadhav  , Afsha Akkalkot
Published: June 2023

Text mining, also known as text data mining or text analytics, is a field of study that focuses on extracting meaningful information and knowledge from textual data. The rapid advancement of digital data acquisition techniques has resulted in an unprecedented volume of data. In fact, over 80 percent of the data generated today comprises unstructured or semi-structured formats. Extracting meaningful patterns and trends from such massive amounts of text data poses a significant challenge. Text mining addresses this challenge by extracting valuable and nontrivial patterns from vast collections of text documents. Various techniques and tools are available for mining text documents and uncovering valuable information to inform decision-making and future processing. Selecting the appropriate text mining technique is crucial as it can significantly enhance the speed and efficiency of retrieving valuable information, reducing the time and effort required. This paper provides a concise analysis and discussion of text mining techniques and their applications. As technology continues to advance, the availability of digital data continues to increase. A substantial portion, approximately 85 percent, of this data exists in unstructured textual form. Consequently, it has become imperative to develop improved techniques and algorithms to effectively extract useful and interesting information from these vast amounts of textual data. This has resulted in the emergence of information extraction and text mining as popular research areas dedicated to uncovering valuable and necessary information from textual data.
Mitigation of Black Hole and Selective Forwarding Attacks through Active Trust Mechanisms in Wireless Sensor Networks
Authors: Mohammad Sirajuddin  , Dr. B. Sateesh Kumar
Published: June 2023

In modern times, security remains a significant concern in wireless networks. Wireless sensor networks are widely employed in different practical situations. WSNs struggle with numerous internal and external threats, and detecting and defending against insider attacks is difficult. Insider attacks, in which intruders discard received data packets selectively, pose a significant risk to WSNs. The presence of black hole nodes within the network causes this issue. This research paper presents a secure and reliable route management methodology for WSNs that selects nodes and routing paths based on trust metrics. The proposed mechanism employs intelligent routing and node selection to defend against various types of assaults encountered during the routing process, including selective forwarding and black hole attacks. As a result, the paper identifies secure routes and establishes secure network routing. This scheme uses throughput, latency, and packet drop ratio as performance metrics. Experimentation demonstrates that the proposed system effectively increases the probability of secure network routing paths while extending the network lifecycle.
News category and location based approach for news recommendations
Authors: Dr. G. Manikandan  , V. Vishnu  , B.Vignesh
Published: June 2023

With the quick advancement of technology,
we now have networks and fast connections
that allow us to communicate with people
right away. Most people currently have
access to daily use devices like mobile
phones, tablets, and laptops. We must keep
up with all happenings and news in our
quick and information-driven environment.
Users of this Android news app can access
the most recent news from 120+
newspapers in 50+ countries. This
application's major goal is to connect news
stories from all around the world and
provide them to users as quickly as possible
in the best visual manner.
Accident Prone System using YOLO
Authors: Harsh Vyas  , Samarth Sharma  , Harshil Senghani  , Dr. Ajaysinh Rathod  , Dr. Avani Vasant
Published: June 2023

Accident Prone System is an accident detection model with an object detection algorithm as its backbone. Object detection algorithms are an integral part of the deep learning. The proposed system aims for optimal automatic post-accident recovery, by deploying the latest open-source computational technology at hand, in the surveillance and dash cameras to detect accidents in real time. Attempts have been made previously where algorithms such as clustering, deep neural networks and Regional CNN have been used to create accident detection models but either they weren't able to achieve efficiency or real time detection speed or both. The proposed system uses the latest algorithm at hand and a comparative study is presented by implementing accident detection models with algorithms such as Single Shot Detector (SSD) and You Only Look Once (YOLO) which are way faster than traditional algorithms and also much efficient than its predecessors. Thus, the proposed system can be deployed for real time accident detection and help save life by faster post-accident recovery.
State-Of-The-Art Developments in Soil Lifting Hand Tool : A Review
Authors: Utkarsh Sharma  , M. S. Khidiya  , B. L. Salvi
Published: June 2023

Shovel is commonly used for soil lifting, weed removal,ormation, lifting straw, etc. Due to soil packing, unequal height, and other factors, the standardized spade size is not suitable for every worker and every field situation. As a result, the standard shovel lacked flexibility and was unsuitable for all of the labours need to work productively. So a shovel should be introduced that can quickly change the shovel metal head or blade angle to carry out the task effectively, and the wooden handle should be replaced with a suitable alternative.The authors have undertaken several studies looking which aims to research on shovel that increases overall yield while also immediately lowering time consumption and protection.
Experimental Investigation on Mechanical Properties of Self Curing High Strength Concrete
Authors: Nikitha J  , Kalpana A  , Guru Jawahar J  , Anil A
Published: June 2023

Concrete is very important in construction industries. For a well developed country we need industrial buildings, residential building, educational building business building, bridges, culverts, dams etc. To construct such structures concrete is most required material. Now-a- day’s large amount of concrete is producing for constructions. For mixing of concrete water is mandatory without water we can’t mix the concrete. The concrete is mixed along with polyethylene glycol in the range 0.5%-1% additionally mixed with admixtures like super plasticizer and silica fume which give more strength and workability for the concrete. In this study involves along with concrete the admixture polyethylene glycol (PEG4000) is added. The affect of adding (PEG 4000) on compressive strength, split tensile test, and modulus of elasticity by different percentage of PEG i.e.(0.5%, 1%, 1.5%) were studied for M70 and M80 grades.By observing the results that the optimum dosage age of PEG is 1% for both M70 and M80 grades. When compared with conventional concrete strength wise self curing concrete achieving maximum strength and also don’t required water for hydration of concrete.
Implementation of Smart Health Prediction Using ML
Authors: Prof. Shalu Saraswat  , Shweta Gabhane  , Alisha Pawar  , Suhas Pingat  , Shreyas Patil
Published: June 2023

The "Smart Health Prediction Using Machine Learning" system uses predictive modelling to predict the disease of users or patients based on the symptoms that the user inputs into the system. User/patient, doctor, and admin are the three options for logging onto the application. The tool analyses the symptoms provided by the user or patient as input and returns the likelihood of the disease based on the algorithmic prediction. The Nave Bayes Classifier is employed to generate insightful health forecasts. The Nave Bayes Classifier determines the illness% probability by using all of its features that were trained during the training phase. For patients and users, an accurate interpretation of disease data helps with early disease prediction and provides them with a clear picture of the situation.
Revolutionizing the Future : A Paradigm Shift in Banking Management Systems
Authors: Priyanshu Kumar Saw  , Nancy
Published: June 2023

Bank management governs various concerns associated with banks in order to maximize profits. The concerns broadly include liquidity management, asset management, liability management and capital management. But still there might be some flaws in this system. These flaws may be holes in rules and regulations, bribery, excuses of lunch, bank’s slow server, employees’ attitude towards work, long waiting times in customer services etc. So, these issues can be solved by an interface connected directly to the bank’s administration through which a person can do their daily minimal banking jobs not through an ATM but through their smartphone. Here comes our project BMS which is a CLI program scripted through python, and data managed by DBMS. The user can perform transactions between accounts of the same bank, check balance, create or delete accounts, deposit or withdraw amounts.
Recommendation of Drugs and Its Substitute Medicines Also Purchasing Using Cosine Similarity Vector
Authors: K. Saranya  , R. Jayashree  , A. Ranjitha
Published: June 2023

In the current digital era, healthcare is one of the main focuses of the medical sector. A mistake with a patient's medication is one of the most dangerous medical errors that might risk the patient's life. It leads the healthcare sector to assist users in making more suitable and cost- effective health-related decisions. A machine learning-based drug recommendation system that takes into account the patient's reported symptoms or drugs is suggested by this study. The algorithm utilised is cosine similarity vector and data frames of medicine, and the system uses supervised learning techniques such as decision trees and K- nearest neighbours to propose the alternative drug and urges users to buy that specific drug.
Changes in Traditional Houses Due to Fishermen's Habitus Changing into Farmers' Habitus in The Sentani Traditional Society in Jayapura Regency
Authors: Deasy Widyastomo  , Alvian Adie Chandra
Published: June 2023

The traditional house of the Sentani indigenous people is an ancestral formation that aims to protect its citizens from outside intervention and defend themselves from tribal wars as a unit in forming a pattern of defense settlements. This ancestral formation has been maintained until now as the traditional house of the Sentani indigenous people, whose lives are fishermen and farmers. From the previous research, research on changes in the habitus of traditional communities, from living on the water to living on land, has never been carried out, especially among traditional indigenous peoples. No research reveals that changes in the habitus of traditional indigenous peoples still maintain a collective living space to protect indigenous peoples from life interventions from outside the traditional indigenous community. The research method used is a qualitative approach using the Intrinsic Case Study Approach model with the nature of descriptive research. Data analysis in this study used the method of Discovering Cultural Themes. The locus of this research is the two oldest villages written in historical references. The data collection method used observation, in-depth participant interviews, measurable pictures, and photographs. The results showed that the change in the habitus of fishermen to that of farmers is part of a cultural change caused by changes in resource capital affecting changes in the shape of traditional houses. These changes caused the types, methods, actors, places, and meanings of activities in the traditional houses of the Sentani indigenous people to change from life on the water to life on the ground, resulting in changes in the shape, ornament, space, position, and meaning of the traditional houses of the Sentani indigenous people.
Blockchain Based Electronic Voting System
Authors: N Jeenath Laila  , Sathya M  , Sathya M Mariappan
Published: June 2023

In today’s digital environment, the voting system has moved from paper based to a digital system. A digital e-voting system has many properties such as transparency, decentralization, irreversibility, and non-repudiation. The growth in the digital e-voting system raises many security and transparency issues. In this paper, we used the blockchain technology in the digital electronic voting system to solve the security issues and ful?ll the system requirements. It offers new opportunities to deploy a secure e-voting system in any organization or country. The solution is far better as compared to other solutions because it is a decentralized system, containing the results in the form of bit-coins, having different locations. We will also analyze the security of our proposed voting system, which shows our protocol is more secure as compared to other solutions. The paper proposes a novel electronic voting system based on block chain that addresses some of the limitations in existing systems and evaluates some of the popular blockchain frameworks for the purpose of constructing a blockchain based e-voting system. In particular, we evaluate the potential of distributed ledger technologies through the description of a case study namely, the process of an election, and the implementation of a blockchain based application, which improves the security and decreases the cost of hosting a nation wide election.
To study the Tourist Satisfaction Index of Shirdi tourist Center in Rahata Tahsil, Ahmednagar District, Maharashtra
Authors: Dr. M. R. Erande
Published: June 2023

In today's world, the tourism industry is the largest and most well-known economic sector. This popular industry is fast growing in many parts of the world, opening the path for more growth. The purpose of this paper is to find out what aspects influence visitor contentment and loyalty to devotees and visitors at the existing holy location. Thousands of visitors come from all across India to see this spiritual landmark. In order to evaluate visitor satisfaction and identify current facilities and their level of development, field work was organized to collect tourist views, attitudes, and recommendations recorded in well-designed questionnaires, group discussion, and surrounding personal observations during the field survey. Tourists filled 250 questionnaires in total during the field survey. Using visitor responses that were transformed into arithmetical values, the satisfaction ratings of selected facilities were determined. Based on this assessment, tourist satisfaction levels were divided into four categories: unsatisfactory, satisfactory, good, and extraordinary. With an average score of 26.07 percent, this location's overall satisfaction level is satisfactory. The average of the Shirdi holy site satisfaction index could be useful in future planning and development of this religious tourism attraction.
Credit Card Fraud Detection
Authors: Tejaswini Patil  , Kiran Khadare
Published: June 2023

Nowadays, detecting credit card fraud is a major social issue. Credit card usage on e-commerce and banking websites has quickly expanded in recent years. The usage of credit cards in online transactions has made it simple, but it has also increased the frequency of fraud transactions. Modernization will have both beneficial and negative effects. It is always encouraged for banks and e-commerce sites to have automatic fraud detection systems as part of the operations taking place. Huge financial losses could be the outcome of credit card theft. Machine learning approaches offer good answers when searching for ways to stop credit card fraud from happening. When compared to other algorithms currently being used, the proposed system achieves greater accuracy by using a random forest application to solve the issue. All of the fundamental classifiers have the same weight, but the random forest algorithm has a relatively high weight while the others have relatively low weights due to the fact that the bootstrap sampling of decision-making and attribute selection cannot be guaranteed to be equally stable across all classifiers.
Brucellosis : Review on Routine and Molecular Technique for Diagnosis of Neglected Disease
Authors: Jinal Patel
Published: June 2023

Brucellosis is a zoonotic infection transmitted from animals to humans through the consumption of contaminated food, direct contact with an infected animal, or inhalation of aerosols. The latter method is extremely effective given the relatively low concentration of organisms required to induce infection in humans and has put this centuries-old disease back in the spotlight. Brucella is a facultative intracellular pathogen that has the ability to survive and multiply in phagocytes and cause abortion in cattle and ripple fever in humans. Brucella spp., especially B. Abortus, B. melitensis, and B. suis pose a serious public health problem. B. melitensis is the most common cause of human brucellosis in India. Human brucellosis still poses several challenges for clinicians and scientists, including understanding the pathogenic mechanism, severity, and progression, and developing improved therapeutic regimens. Molecular studies have shed light on the pathogenesis of Brucella to develop new diagnostic tools that will be useful in developing countries where brucellosis is a common but often overlooked disease. This overview brings together all these questions, especially pathogenicity and new diagnostic tools.
Skin Melanoma Cancer Detection and Classification using Machine Learning
Authors: Prof. Balaji Chaugule  , Kiran Bomble  , Shruti Jundare  , Nilesh Maske  , Vikas Gagare
Published: June 2023

Skin cancer is a common and potentially life-threatening disease that affects millions of people worldwide. Early detection and accurate classification of skin lesions are critical for effective therapy and improved patient outcomes. In recent years, advances in machine learning and computer vision techniques have shown promising results in automating skin cancer detection and classification. The goal of this project is to develop an automated system for skin cancer detection and classification using machine learning algorithms. The proposed system uses a dataset of dermatoscopic images collected from different sources covering different types of skin lesions, including malignant melanoma, basal cell carcinoma, and squamous cell carcinoma. The project includes several main stages. First, preprocessing techniques including noise reduction, normalization, and feature extraction are used to improve image quality. Next, a comprehensive set of features such as color, texture, and portrait features are extracted from the preprocessed images. These features are input to various machine learning models, including Convolutional Neural Networks (CNNs), Support Vector Machines (SVMs) and Random Forests.
Depression Detection Using Machine Learning
Authors: Prof. Punam Chavan  , Aishwarya Masne  , Sanjana Nadgouda  , Tanishq Nagare  , Namrata Parab
Published: June 2023

According to the World Health Organization, depression is expected to be the second leading cause of disability by 2030. Depression is a state of mental illness. It is characterized by long-lasting feelings of sadness and despair. Most people with depression do not report that they are depressed. If a person remains grieving for a very long time, the person may be called depressed. Such a person needs the help of a psychiatrist to make the correct diagnosis. You can check the emotions of people by their facial expressions. Facial expressions are very useful for examining a person's emotional state. So this project will help such people check for depression in themselves. To see if this person is sad most of the time, we can assume that he is a depressed person. Once this is confirmed, a correct diagnosis can be made. Depression can be recognized by facial expressions and through texts. Deep learning algorithms can help us understand a person's emotions better by analyzing their facial expressions. In this article, we proposed a CNN model for analyzing human emotions.