bluuebunny/crossref_metadata_2025 huggingface dataset:
Stebbing and Eddington in the Shadow of Bergson
Authors: Moravec Matyáš , West Peter
Published: April 2023

In this paper, we argue that the French philosopher Henri Bergson was a hidden interlocutor in Susan Stebbing's critique of Arthur Eddington in her Philosophy and the Physicists. First, we outline Stebbing's critique of Eddington's philosophical-physical writings with a particular emphasis on her case against Eddington's account of the passage of time. Second, we provide evidence that Eddington's philosophy is, at its core, Bergsonian and make the case that Eddington was directly influenced by Bergson's philosophy of la durée. Third, we lay out Stebbing's critique of Bergsonism in her Pragmatism and French Voluntarism and identify important similarities with her critique of Eddington over twenty years later. In doing so, we show that it is Eddington's Bergsonism that she is attacking. Finally, we situate Stebbing's criticisms of both Eddington and Bergson within two wider conflicts that emerged in early twentieth century British philosophy: one between an objectively describable time of physics and subjective temporal experience, and the other between science and intuition.
Experimental research on formaldehyde emission characteristics from glubam by climate chamber test
Authors:   School of Civil Engineering and Architecture, Hainan University, Shan Bo , Wang Gang ,   School of Civil Engineering and Architecture, Hainan University, Lei Panpan ,   Hainan State Farms Baoxiang Forest Industrial Group Co., Ltd., Li Tianyu ,   Key Laboratory of Building Safety and Energy Efficiency of the Ministry of Education, Hunan University, Xiao Yan ,   Zhejiang University-University of Illinois Institute, Zhejiang University,   Sonny Astani Department of Civil and Environmental Engineering, University of Southern California, Qin Shujie ,   School of Civil Engineering and Architecture, Hainan University, Chen Jie ,   Key Laboratory of Building Safety and Energy Efficiency of the Ministry of Education, Hunan University
Published: April 2023

Glued laminated bamboo (glubam) is a type of bamboo-based lamina, and manufactured by pressure lamination of phenol-formaldehyde saturated bamboo strips under elevated temperature. Estimating, controlling, and limiting the formaldehyde release from glubam are important issues in indoor air quality of building with glubam. This study investigates formaldehyde emission characteristics from two types of glubam under different conditions including temperature, relative humidity, edge treatment, and surface covering material. A series of formaldehyde concentration tests were performed using 1 m3 climate chamber. The results indicate that the peak values of the formaldehyde concentration of glubam specimens under all testing conditions are lower than 0.124 mg/m3, and thus can be classified as Class E1 according to EN 13986. An analysis model was provided to estimate formaldehyde release based on the test data and a first-order decay model. Initial formaldehyde emission rate E0 and decay rate constant k in the proposed model was utilized for comparison and analysis of the experimental parameters. This investigation reveals that the temperature and relative humidity have significant influence on the formaldehyde emission characteristics of glubam boards. Sealing cutting edges and covering surface layer of the samples can significantly reduce the releasing rate and amount of formaldehyde from glubam.
Importance of Emerging Technologies in Processing and Preservation of Seafood
Authors:   Institute of Home and Food Sciences, Faculty of Life Sciences, Government College University, Faisalabad-38000, Pakistan., Hassan Sadia , Wahab Abdul ,   Institute of Home and Food Sciences, Faculty of Life Sciences, Government College University, Faisalabad-38000, Pakistan., Ahmad Nazir ,   Institute of Home and Food Sciences, Faculty of Life Sciences, Government College University, Faisalabad-38000, Pakistan., Ali Asjad ,   Department of Pharmaceutical Sciences, Faculty of Pharmacy, The University of Lahore, Lahore-55150, Punjab, Pakistan., Mazhar Syed Saad ,   National University of Medical Sciences, The Mall Road, Rawalpindi 46000, Punjab, Pakistan.
Published: April 2023

This review provides information about the type of emerging technologies used for the processing and packaging of seafood. The quality of food is always a top priority and a farm-to-fork process which is designed and implemented to get highly safe food. The success factor for the process includes the time, temperature, and chemical reactions involved in different stages of the processing and packaging. Moreover, unwanted changes in the product would have to be minimized to obtain final products of desirable quality over time. Seafood is widely used and exported in different countries which comes with potent health hazards. To control these hazards, emerging technologies came into existence which are now being applied in the packaging sector for seafood. These technologies were discussed in this work.
Reduce the Spread Risk of COVID-19 based on Clinical Fusion Data and Monitoring System in Wireless Sensor Network
Authors:   Computer Science Department, College of Computer Science and Information Technology, University of Anbar, 31001, Ramadi, Anbar, Iraq, .. Majed Hamed ,   Computer Science Department, College of Computer Science and Information Technology, University of Anbar, 31001, Ramadi, Anbar, Iraq, Rashid Ahmed Noori
Published: April 2023

The expression “COVID-19” has been the fiercest but most trending Google search since it first appeared in November 2019. Due to advances in mobile technology and sensors, Healthcare systems based on the Internet of Things are conceivable. Instead of the traditional reactive healthcare systems, these new healthcare systems can be proactive and preventive. This paper suggested a framework for real-time suspect detection based on the Internet of Things. In the early phases of predicting COVID-19, the framework evaluates the existence of the virus by extracting health variables obtained in real-time from sensors and other IoT devices, in order to better understand the behavior of the virus by collecting symptom data of COVID-19, In this paper, four machine learning models (Random Forest, Decision Tree, K-Nearest Neural Network, and Artificial Neural Network) are proposed, these data and applied as a machine learning model to obtain high diagnostic accuracy, however, it is noted that there is a problem when collecting clinical fusion data that is scarce and unbalanced, so a dataset augmented by Generative Adversarial Network (GAN) was used. Several algorithms achieved high levels of accuracy (ACC), including Random Forest (99%), and Decision Tree (99%), K-Nearest Neighbour (98%), and Artificial Neural Network (99%). These results show the ability of GANs to generate data and their ability to provide relevant data to efficiently manage Covid-19 and reduce the risk of its spread through accurate diagnosis of patients and informing health authorities of suspected cases.
Recent Trends on Sophisticated types of Flooding Attacks and Detection Methods based on Multi Sensors Fusion Data for Cloud Computing Systems
Authors:   Research Laboratory in Algebra, Numbers Theory and Intelligent Systems RLANTIS, University of Monastir, Monastir, Tunisia; Department of Computer Sciences, Shatt Al-Arab University College, Basrah, Iraq, Alhammadi Nafea A. Majeed ,   Department of Computer Sciences, Shatt Al-Arab University College, Basrah, Iraq,   Department of Computer Sciences, Shatt Al-Arab University College, Basrah, Iraq, Mabrouk Mohamed , Zrigui Mounir
Published: April 2023

Data storage, software services, infrastructure services, and platform services are only some of the benefits of today's widespread use of cloud computing. Since most cloud services run via the internet, they are vulnerable to a comprehensive range of attacks that might end it the disclosure of sensitive information. The distributed denial-of-service (DDoS) is amongst the attacks that pose an active threat to the cloud environment and disrupts the provided services for the legitimate participants. The main aim of this review paper is to present the recent trends on sophisticated flooding attacks detection methods for cloud computing systems. The review only considers the papers published within the period of 2014 until 2022.This study aims to examine the various deep learning-based DDoS detection algorithms and machine learning used across different cloud environments. Also, the study covers the Sophisticated types of Flooding Attacks and the testing dataset. The review outcomes several research challenges, gaps and future research guidelines related to protection of DDoS attack in cloud computing environment.
Improving Penalized-Based Clustering Model in Big Fusion Data by Hybrid Black Hole Algorithm
Authors:   Department of Mathematics, Education College, University of AL-Hamdaniya, Kababchee Sarah G. M. Al- ,   Department of Statistics and Informatics, University of Mosul, 41002 Mosul, Iraq; College of Engineering, University of Warith Al-Anbiyaa, 56001 Karbala, Iraq,   Department of Mathematics, University of Mosul, Mosul, Iraq, Algamal Zakariya Y. , Qasim Omar S.
Published: April 2023

This paper presents an improved penalized regression-based clustering algorithm using a nature-inspired approach. Clustering is an unsupervised learning method widely used in data fusion mining, including gene analysis, to group unclassified fusion data based on their features. The proposed algorithm is an extension of the Sum of Norms model and aims to better estimate the data by fusing information from various sources. The performance of the proposed algorithm is evaluated on gene expression data. Results show that our approach outperforms other methods, indicating its potential impact on clustering research with data fusion.
Crime Anomaly Detection using CNN and Ensemble Model
Authors:   Bharati Vidyapeeth's College of Engineering, India, Gupta Gautam ,   Bharati Vidyapeeth's College of Engineering, India,   Bharati Vidyapeeth's College of Engineering, India,   VIPS-TC, School of Engineering and Technology, India,   Bharati Vidyapeeth's College of Engineering, India,   VIPS-TC, School of Engineering and Technology, India, Aggarwal Prachi , Jain Achin , Lamba Puneet Singh , Dubey Arun Kumar , Chaudhary Gopal
Published: April 2023

Every single day, thousands of crimes are perpetrated, and hundreds may be probably taking place right now throughout the world. Without a doubt, crime is viewed as a social blight. Nothing can truly stop it, no matter what is done. Surveillance cameras, on the other hand, can dramatically minimize it. Using public surveillance camera systems to prevent, document, and minimize crime can be a cost-effective solution. Installing enough cameras to detect crimes in progress and integrating technology to automate the monitoring of the live stream from these cameras will result in the most effective systems. Because of its self-learning characteristics, the advanced Artificial Intelligence surveillance system is constantly learning and improving. The Deep Learning Algorithms applied in this work processes videos using electronic devices like cameras in real-time termed as image processing, saving both human resources and a great deal of time. The highest accuracy of 86.6% was attained by Ensemble Model, followed by Inception Model with SGD Optimizer, Leaky Relu Activation Function giving an accuracy of 83.43%. Hence, anomalies were detected efficiently using decision making in real-time surveillance scenarios.
Analyzing and Evaluation of Quick Switching System using Neutrosophic Poisson Distribution
Authors:   Department of Statistics, PSG College of Arts  Science, Coimbatore, TamilNadu, India, G. Uma.. ,   Department of Statistics, PSG College of Arts  Science, Coimbatore, TamilNadu, India, S. S. Nandhitha..
Published: April 2023

In Statistical Quality Control (SQC), the judgement of the accepting the lot or rejecting the lot s carried out with the help of acceptance sampling plans in the inspection process of any manufacturing industry. Based on the predefined risk the output is attained with minimum inspection cost based on the optimum sample size. Generally Classical statistics is used based on the deterministic nature of the information and measurements. In some circumstances, the quality characteristics may not be certain enough leading to vagueness or impreciseness situation. Accordingly, in past few decades Fuzzy logic is one of the most popular techniques to model the uncertainty in the manufacturing industries. As an advent of technology and knowledge data era, an extension of Fuzzy, a new concept known as Neutrosophic Logic is in progress to apply to achieve these uncertainties. In this, such vagueness, imprecise is called as indeterminants. Thus, Neutrosophic Logic taken its role in Acceptance Sampling Plans with Probability distributions for various plan parameters such as AQL, LQL and Neutrosophic defection status are offered for Poisson distribution in the first time. The chief formulations of Acceptance Sampling plans for Single Sampling were derived based on Neutrosophic Statistics. As an advanced step the mixture of Acceptance Sampling plans with the shifting ruling for swapping from one plan to another plan are named as Sampling System and one such system is Quick Switching System the most widely applicable to safeguard from bad quality which give high level protection as well as to reduce the cost of inspection and time. In this study, Quick Switching System (QSS) with Single Sampling Plan (SSP) as reference plan is constructed based on Neutrosophic sets on Poisson distribution as baseline distribution. The procedures, OC Curves and tables have been redesigned and presented with numerical example.
Menejemen Strategi Pondok Pondok Pesantren dalam Meningkatkan Karakter Nasionalis Santri
Authors: Muali Chusnul , Hadi Muhammad Syaiful
Published: April 2023

Pondok pesantren selalu diibaratkan bengkel bagi masyarakat terdekatnya, ia selalu terpercaya dan bahkan diyakini mampu mengubah degradasi moral yang kini makin terkikis jaman. Karna itulah pondok pesantren acapkali menerima anak-anak “nakal” untuk segera disembuhkan. Hal itu adalah lumrah terjadi manakala orangtua sudah pasrah terhadap lingkungan sang anak yang terkontaminasi dengan aura negatif. Dan konon, walaupun tidak dapat dibuktikan secara ilmiyah, namun kiat-kiat pondok pesantren dalam menggembleng santri untuk terbiasa berbuat baik dapat diamati dan diobservasi. Kiat-kiat dan strategi itulah keunikannya yang membedakan ia dengan lembaga formal lainnya, memilki karismatik tersendiri. Adapun metode penetian ini yaitu jenis penelitian kualitatif deskriptif atau labrary reseach, yang mana teknik pengumpulan datanya melalui analisis literasi dan observasi dokumen. Penelitian ini bertujuan untuk mengetahui strategi husus pondok pesantren dalam meningkatkan karakter nasionalis santri secara umum baik di kalanganpondok pesantren salaf maupun pondok pesantren modern. Adapun hasil enelitiannya yaitu pengaplikasian keimanan yang benar terhadap hubbul wathan, menguatkan militansi ideologi, menyusun kurikulum kotraradikalisme, mengembangkan kemandirian ummat, solidaritas antar tokoh dan menguatkan kerjasama sinergi seluruh elemen bangsa.
MODEL PENGAMBANGAN RPP DAN SILABUS DENGAN MODEL INSIDE OUTSIDE CIRCLE (IOC) DALAM MENINGKATAN HASIL BELAJAR SISWA KELAS VIII SMP AL-FURQON TEBUIRENG JOMBANG
Authors: Khoirur Roziqin Muhamad , Chafizh Nahdliyul Ibad M.
Published: April 2023

Learning Implementation Design and syllabus as a set of plans and arrangements regarding curriculum development, are basically one of the prerequisites in determining learning objectives and outcomes. Apart from learning tools, another thing that can improve student learning outcomes is the selection of the right learning model used by the teacher. The Inside Outside Circle (IOC) learning model is a learning model that stimulates active learning so as to improve student learning outcomes. The purpose of this study was to determine the use of lesson plans based on the Inside Outside Circle (IOC) learning model in Class VIII Language at Al Furqan Middle School and student learning outcomes using the Inside Outside Circle (IOC) learning model in Class VIII Language at Al Furqan Middle School. This study uses a research and development (R&D) approach. The results of this study were obtained in the form of validation results of the implementation of learning designs from 2 experts showing an average result of 3.84. Meanwhile, the results of the syllabus validation show the results of 3.37. Both of these results indicate that the learning device is feasible to use without revision. Student responses to Inside Outside Circle (IOC) learning showed very good results of 61%. In student learning outcomes, the average posttest score is greater than the pretest score so that the average student learning outcomes taught by the Inside Outside Circle (IOC) learning model produce better scores
PERAN GURU AKIDAH AKHLAK SEBAGAI UPAYA PENINGKATAN AKHLAK SISWA
Authors: Zahiq Moh
Published: April 2023

Education in the increasingly developing globalization era has many positive and negative impacts on people's lives, we are faced with quite serious moral and moral problems, we must be good at processing education in the globalization era, both within the family, community, education and the State. Teachers have an important role in the formation of morals. Mainly a teacher of morals. This study aims to explore the role of the moral creed teacher as an effort to improve morals. The research uses literature research methods, with documentary data collection methods. And with a content analysis model. The results of the study show that student morals can be formed when the teacher applies all of his roles, namely: The teacher as educator, mentor, teacher, role model, adviser, facilitator, motivator, evaluator and innovator
Yeni Üretilen Bir Kompozitin Mikrosertlik ve Farklı Polisaj Sistemleri Uygulanması Sonrası Yüzey Pürüzlülük Değerlerinin Güncel Kompozitlerle Karşılaştırılması
Authors: SONKAYA Ezgi , SENİRKENTLİ Güler Burcu , TURAN Yeşim , BEK Zeliha , ÇAKMAK Eda , CİFTCİ Volkan , TİRALİ Ebru
Published: April 2023

Amaç: Bu çalışmanın amacı yeni mikrohibrit özellikli bir dental kompozitin mekanik özelliklerinden yüzey pürüzlülüğü ve mikrosertliğini piyasada yaygın olarak kullanılan farklı mikrohibrit ve nanohibrit kompozitlerle karşılaştırmaktır.
Gereç ve Yöntem: Yeni üretilen Dolgunn (Himg Seramik ve Medikal Kompozit San.Tic. Ltd.Sti, Türkiye) kompoziti, G- aenial (GC, Japonya) ve Filtek Z250 (3M, ABD) ile hazırlanan örneklere mikrosertlik test cihazı ile ölçümler yapıldı. Yüzey pürüzlülüğü testi için Dolgunn, G- aenial, Ceram.x Spectra (Dentsply Sirona, Almanya) ve Filtek Ultimate (3M, ABD) örneklerine Clearfil Twist Dia (Kuraray, Japonya) ve Soft-lex (3M, ABD) sistemleri uygulandı. Mikrosertliklerinin karşılaştırılması tek yönlü varyans analizi (ANOVA) ve çoklu karşılaştırmalarda Tukey HSD testi, yüzey pürüzlülüklerinin karşılaştırılmasında Kruskal-Wallis ve çoklu karşılaştırmalarda Bonferroni düzeltmeli Mann-Whitney U testi kullanılmıştır. Polisaj sistemine göre karşılaştırmalarda ise Mann-Whitney U testi kullanılmıştır.
Bulgular: Bulgular incelendiğinde Dolgunn ve Filtek Z250 kompozitleri arasında mikrosertlik değerleri açısından farklılık bulunmamıştır (p=0.661). G-aenial kompoziti ise diğer kompozitlerden istatiksel farklı olarak daha düşük sertlikte bulunmuştur (p<0.05). Dört farklı kompozite iki aşamalı ve çok aşamalı cila sistemleri uygulanmasının pürüzlülük değerleri karşılaştırmasında istatiksel olarak farklılık bulunmuştur (p<0.001).
Sonuç: Dolgunn kompoziti yeterli mikrosertlik düzeyine ve parlatılabilirliğe sahip bulundu. Çalışmamızın sonuçlarına göre yeni formülasyon bir kompozit olan Dolgunn kompozit dolgu materyalinin daha kapsamlı mekanik ve klinik testler ile değerlendirilmesi gerektiği öngörülmektedir.
Ağız, Diş ve Çene Radyolojisi Kliniğine Başvuran Hastalarda Sistemik Hastalık Prevalansının Değerlendirilmesi
Authors: ARSLAN Zeynep Betül , ÇELİK Berrin
Published: April 2023

Amaç: Bu çalışmanın amacı, diş hekimliği fakültesi hastanesine başvuran hastaların sistemik hastalık prevalansının belirlenmesi ve medikal profilinin değerlendirilmesidir. Gereç ve Yöntem: Bu retrospektif çalışmaya, Diş Hekimliği Fakültesi Ağız, Diş ve Çene Radyoloji kliniğine Mart-Eylül 2022 tarihleri arasında çeşitli nedenlerle muayene için başvuran hastalar dahil edildi. Hastaların yaş, cinsiyet gibi demografik bilgileri ve sistemik hastalıkları belirlendi. Sistemik hastalık görülme sıklığı ile cinsiyet ve yaş arasındaki farklılık ki-kare testi ile değerlendirildi. Bulgular: Çalışmada, 14-89 yaş aralığında, 2007 kadın ve 1284 erkek olmak üzere toplam 3291 hasta değerlendirildi. Çalışmaya dahil edilen bireylerden %71.77’sinde (n=2362) sistemik hastalık gözlenmezken, %28.23’ünde (n=929) en az bir tane sistemik hastalık belirlendi. Sistemik hastalık görülme sıklığı, cinsiyetler ve yaş grupları arasında istatiksel anlamda farklılık gösterdi (p<0.05). Sonuç: Çalışma sonuçlarına göre en sık gözlenen hastalık kardiyo-vasküler ve endokrin sistem hastalıklarıdır. Diş hekimleri, bu hastalıklarla ilgili oluşabilecek komplikasyonları önlemek için muayene ve dental tedavi öncesinde ayrıntılı bir anamnez almalıdır.
Final Color of CAD-CAM Produced Thin Lithium Disilicate Ceramics Cemented with Different Colored Resin Cements on Darker Backgrounds
Authors: BANKOĞLU GÜNGÖR Merve
Published: April 2023

Aim: The aim of the present study was to evaluate the final color of CAD-CAM produced thin lithium disilicate ceramics cemented with A2, opaque, and bleach resin cements on darker backgrounds. Materials and Method: Nine different experimental groups (n=10) were generated according to the colors of resin backgrounds (ND3:A3, ND4:A3.5, and ND8:A4) and cements (A2, opaque, and bleach). Target specimen was prepared by cementing lithium disilicate ceramic layer onto ND2 (A2) background by using translucent resin cement. The color difference values between experimental groups and target specimen were calculated according to CIEDE2000 formula. The data were statistically analyzed by using Kruskall Wallis test (α=0.05). Results: The results showed that most of the experimental groups had higher color difference values than acceptability threshold (1.8) except ND3-A2 and ND3-opaque groups. It was observed that when the background got darker, the color difference values increased. Conclusion: The darker backgrounds (A3, A3.5, and A4) and resin cement color (A2, opaque, and bleach) affected the final color of the lithium disilicate ceramics in 1 mm thickness. Color difference values were found in clinically acceptable limits for cementing lithium disilicate ceramics with A2 and opaque resin cements on A3 background.
AUGMENTED REALITY INTERFACE FOR PC
Authors:   Dept. of Computer Science Engineering, SCSVMV University, Enathur, India, Padma E , Sugumaran M , Raj M. R. Nithish
Published: April 2023

Augmented Reality (AR) and Virtual Reality (VR) headsets are becoming more accessible and cheaper, especially headsets that allow mobile phones to be used as a display for VR/AR applications. VR is being utilized heavily on platforms like Google Cardboard. Whereas AR applications which use the camera of the mobile device for situational awareness with virtual elements overlaid on top of the camera view are useful for productivity and commercial applications. We propose an Android mobile application made using Unity3D that provides additional virtual displays for PC that can be used as large virtual workspace instead of large monitors. It is implemented with the AR display which is on top of the viewport. The user can record the screen and work anywhere while connected to the same local area network. Keywords: Virtual Reality, Augmented Reality, Socket Programming, Unity3D
Support Vector Machine Algorithm for Effective Lung Cancer Detection Using Fuzzy Clusters
Authors: deen K Jalal , L Rachel , N Kins burk sunil
Published: April 2023

Tuberculosis is considered the main health threat in several parts of the world. This ithe primary infectiousdisease causing this disease .When untreatedandundiagnosed, there ishigh mortalityrate in patients.Thismethodincludes an automatic method to recognize tubersT his approach requires automated tuberculosis identification techniques to reduce problematic illnesses. Extraction of the lung region is first performed using the Graph Cut segmentation system. We develop a collection of properties including textures, shapes, etc. in this area of the lung. You must use an SVM to identify X-rays as normal or abnormal. The systematic system proposed for analyzing TB segmentation provides better performance than the graph cut segmentation
A STUDY ON USING BUSINESS INTELLIGENCE FOR IMPROVING MARKETING EFFORTS
Authors:   Department Of Management Studies, Indraprasth Institute Of Management &  Technology- Saharanpur (U.P.)., Chauhan Udit Kumar , Maheshwari Ritika
Published: April 2023

A major success criteria for the marketing department of the company is the understanding of the consumers and the success of the campaigns. Based on the outputs of certain data mining tasks, a marketer would be able to chalk out his strategy. But the major barrier against proper utilization of business intelligence is that often the marketer is unable to see the actual benefits the system can provide him in meeting his objective. Firstly this article provides a basic knowledge of the various data-mining tasks which can create value to the marketer. A major concern becomes, even if the marketer is convinced of the benefits to be obtained, he is unaware of the process involved to get it done. The data requirements are huge for a business intelligence system. This article also provides some insights on what kind of data requirements the data-mining system would require to perform such business intelligence tasks. Thirdly, this article maps how business intelligence can be collaborated with marketing strategy to create value in each stage of the product development life cycle following Kotler's product life cycle framework. The entire paper provides these conceptualizations based on theoretical understanding of the areas under discussion. Key Words: Business Intelegence, Business Success, Cluster Analysis, Pattorn Association, Link Analysis, Task Discussion.
Crime Evidence Over Blockchain
Authors:   Department of Information Technology, Datta Meghe College of Engineering, Arioli, India, Shetty Shivani , Shinde Krutika , Shelke Deep , Garje Ratnakar , Mahtre Prof. Anita
Published: April 2023

Blockchain is a digital ledger of transactions that is duplicated and spread over the whole network of computer systems on the blockchain, and it is a system of preserving information in a way that makes it difficult or impossible to edit or hack. Collecting, identifying, evaluating, analyzing, preserving, and presenting evidence is a difficult task in existing forensics. That's where the blockchain'sdecentralized nature comes into play, with forensic data being stored in the private network using the blockchain's nodes in a peer-to-peer network. Digitalforensics will also be more secure,and the investigation will be more transparent to those on the other side of the jurisdictional border. In the criminal investigation process, information that frequently changes is stored in the hotblockchain, and unchanging data such as videos are stored in the cold blockchain. In this we are using the Ethereum concepts and implementing smart contracts. Keywords - ledger, chain of custody, Hyperledger fabric, forensic.
HERITAGE IDENTIFICATION OF MONUMENTS
Authors:   A.C. Patil College of Engineering Navi A.C. Patil College of Engineering A.C. Patil College of Engineering Mumbai, Kharghar, Chonkar Atharva Ravindra , Giri Shubham Rajesh , Shirsat Shubham Deepak , Reddy Guntaka Ganesh Gopal , Khot Surekha
Published: April 2023

The goal of the Heritage Identification of Monuments project is to create an automated system for the recognition and classification of historical sites. The project's main goal is to preserve and maintain the rich cultural and historical heritage of the world, which comprises a variety of structures and monuments. Convolutional Neural Networks (CNNs), one of the most advanced deep learning techniques, will be used in this research to extract features and representations of various monuments from a big dataset of photographs. Then, depending on their features and qualities, such as architectural style, location, and historical context, these representations will be utilized to train machine learning models to identify and categorize particular monuments. A mobile application that will enable users to upload pictures of monuments and access details about their historical and cultural significance will also be developed as part of the project. The smartphone application will classify the supplied photographs and provide details on the recognized monuments using the developed machine- learning models. By creating an automated system for the identification and categorization of monuments using computer vision techniques, the Heritage Identification of Monuments project overall wants to contribute to the preservation and promotion of the world's cultural and historical heritage. Keywords - Monument identification, Computer vision, Deep learning, Convolutional Neural Networks, Historical context, Mobile application, Machine learning
INCREASING THE MARKETABILITY POTENTIAL OF CITIES
Authors: Harbansh Sahil
Published: April 2023

Cities promote and brand to attract residents and investors. Planners and officials must adopt these methods. Image matters. Strengthen every asset to boost city perception (residents but also potential residents and visitors). Today, a city's "image" can influence visitors, investors, and even its residents more than its actuality. Marketing helps cities become post-industrial tourist, culture, and redevelopment hubs. Urban tourism is also influencing local government economic development policies. Attracting tourists is harder in the globalised economy. City marketing and city branding matters here. This paper discusses city marketing's role in urban governance. It examines city marketing and urban tourism planning. The study concludes that city marketing is important in urban planning by examining its relationship to city time planning, participatory planning, and urban regeneration. Keywords: City Marketing, Urban Planning, Tourism Planning, City Branding
IOT-BASED BABY MONITORING SYSTEM
Authors: SAHITHI S LAKSHMI , ANURADHA V , VINOD J SAI , KUMAR CH UMESH , SWARNALATHA P , Krishna Dr. R V V
Published: April 2023

These days the current number of working women and mothers has skyrocketed. As a result, for many families, baby care has become a daily challenge. As a result, the majority of parents leave their children with their grandparents or at child care facilities. Unfortunately, under both regular and exceptional circumstances, the parents are unable to continuously check their child's health. Thus, an Internet of Things- based baby monitoring system (IoT-BBMS) is suggested as an effective and affordable IoT-based system for real-time monitoring. Also, we suggested a new algorithm for our system that is crucial to delivering superior baby care while parents are abroad. The application of technology such as Internet of Things (IoT) modules for sensing temperature and humidity, cry detection systems, and real-time video surveillance. We are able to monitor the temperature, the sound of the infant crying, and the posture of the baby in the cradle live. The infant cradle in the system architecture uses a motor to swing automatically whenever the baby screams. Parents can also remotely monitor their baby's health using an external web camera and turn on the lullaby in the baby cradle. The proposed system prototype is created and tested to demonstrate its effectiveness in terms of cost and simplicity as well as to guarantee safe operation so that parents can have access to their children whenever and wherever they choose over the network. The prototype has shown that the baby monitoring system is effective at keeping track of the infant's situation and its surroundings. Keywords: Arduino UNO , Temperature Sensor, Moisture Sensor, Sound Sensor , LCD Module , Node MCU, DC / Servo Motor , Music Generated Circuit and Speaker , Wireless Camera , 12V Transformer , Voltage Regulators.
Survey of Secure IoT using Machine Learning Approach
Authors: Monali Suthar Asst. Prof , Khara Dr. Satvik
Published: April 2023

The future Internet of Things (IoT) will have a deep economical, commercial and social impact on our lives.[1] The participating nodes in IoT networks are usually resource constrained, which makes them luring targets for cyber-attacks [1]. Internet of Things security is attracting a growing attention from both academic and industry communities. Indeed, IoT devices are prone to various security attacks varying from Denial of Service (DoS) to network intrusion and data leakage [2]. The disruptive acceleration of Internet of Things (IoT)is drastically modifying the current ICT landscape with a massive number of cellular IoT devices expected to be deployed in the next few years. IoT devices are taking over a variety of aspects of our current lives, such as health care, transportation, and home environments [2]. Key Words: IOT, Machine Learning, Cyber Security, Security Attacks, Security, data privacy
ADAPTIVE REUSE OF HAVELIS
Authors: rajput Sakshi
Published: April 2023

Adaptive re-use gives new cycle to a site, instead of freezing it at a particular moment in time, it explores the options of destruction to recreation. Planting a new layer without erasing the roots of earlier layers, an adaptive reuse continues with its identity of long history, along with addressing the concerns to scarcity of land.
Intravenous Drip and Health Monitoring System
Authors: S Vasunitha , A V Gayathri , C R Nandhini , K E Malashree , A Dr. Arudra
Published: April 2023

Saline, one of the most widely used intravenous (IV) medicines, is crucial in the treatment of critically ill patients. In order to prevent blood from flowing into the bottle while the saline bottle is emptied and the needle is still close to the vein, it is crucial to keep an eye on its level. The correct timing of extracting the needle from the patient's vein is typically disregarded due to negligence and any uncommon circumstance, which results in a large casualty and should also result in death. We have presented a cost-effective smart saline level monitoring device using Internet of things(IOT) that was created utilising a load sensor and an inexpensive, ultra-low power Arduino microcontroller. In addition, the patient's oxygen level, temperature, humidity, and pulse would all be tracked by the implanted health monitoring system. The GPS device would help locate the patient, and the buzzer used would function to sound an alarm when it was time to change the saline container. Keywords—Internet of Things(IOT),Intravenous(IV) medicines, GPS, buzzer
A Study on Unveiling the Secret to the Success of Starbucks in India
Authors:   Student, Thakur Global Business School, Mumbai, Singh Kareena Jaykishan , Shahid MD Nasir , Birje Amruta Kamlakar , Sahni Dr. Stuti
Published: April 2023

Over the last 20 years when one looks at evolution that has taken place in how coffee shops have started to be perceived and the kind of experience it is bringing on table for its consumers. To carry out its business successfully every business needs a workable and successful marketing strategy in order to be noticeable. A brand that opened its first store in 1971 in Seattle has grown from one store to 24000 retail stores in 70 countries. As per a source as on 27th February 2023, the number of Starbucks stores in India is 292. This makes us wonder what is the secret behind the success of Starbucks in India. The objective of this paper is to study and understand the marketing strategies of Starbucks and what makes it different from its competitors.
FRUIT RIPENESS DETECTION USING DEEP LEARNING
Authors: ASRITHA LINGAMGUNTA , HARI CHANDRA PRASAD MEDIKONDA , VARUN SAI KORRAPATI , JAYARAJ MEKALA
Published: April 2023

Abstract—The agricultural industry has been facing challenges in traditional and manual visual grading of fruits due to its laborious nature and inconsistent inspection and classification process. To accurately estimate yield and automate harvesting, it is crucial to classify the fruits based on their ripening stages. However, it can be difficult to differentiate between the ripening stages of the same fruit variety due to high similarity in their images during the ripening cycle. To address these challenges, we plan to develop an accurate, fast, and reliable fruit detection sys- tem using deep learning techniques. The modernization of crops offers opportunities for better quality harvests and significant cost savings. Our approach involves adapting the state-of-the- art object detector faster R-CNN, using transfer learning, to detect fruits from images obtained through modalities such as colour (RGB) and Hyper Spectral Imaging System (HSI). Our system’s robustness will enable us to differentiate between fruit varieties and determine the ripening stage of a particular fruit with effectiveness and accuracy. The system will also efficiently segment multiple instances of fruits from an image and accurately grade individual objects. Index Terms—Modernisation, HSI, CNN, RGB
Waste Management in India: Challenges and Opportunities for Entrepreneurs
Authors: Thimmaiah Tushar , NB Tushara , Gangadkar Sumag , Mary.T Shilpa , Akhil Srivatsa , LR Trisha
Published: April 2023

In developing countries like India, the collection, segregation, transportation and disposal of MSW is unscientific. Unregulated dumping of all manner of wastes on the edges or outskirts of towns and cities has created overflowing landfills, which are difficult to reclaim because of the haphazard manner of dumping and have serious environmental consequences. Recycling has remained an informal industry using outmoded technology in the lack of effective trash classification, collection, and disposal processes. Despite this, it is growing because of the amount of waste material and market demand for less expensive recycled goods. Due to the commodities' rising levels of use, paper and plastic recycling have seen particularly rapid growth. A significant knowledge gap exists in comprehending the potential available for entrepreneurs and the problems they must confront to build up a waste management firm, despite the fact that Indian experts have extensively researched technology-related topics in academic articles. This review article focuses on the quantity of the garbage that is now produced, collected, and recycled. Specifically, this review paper analyses statistics and information about Indian Waste management and highlights several heralds that a entrepreneur may have to face while setting up a business.
Enhancing and Navigating the Lithium Shortage: Challenges and Solutions for the Electric Vehicle Revolution
Authors:   CMS, Jain University, Bengaluru, Bekal Dr.Shruti , Jayapaul Maheshwaran , Bhushan Hemanth , Vardana Harsha , Kumar Hemanth , Sundar Hari , Harshitha Harshitha
Published: April 2023

The research paper aims to analyze the impact of the lithium shortage on the electronic vehicles (EVs) revolution, addressing the challenges and potential solutions in lithium-ion battery production, recycling, and sustainability. The paper will provide a comprehensive understanding of the current state of lithium availability, its role in the EV industry, and possible future scenarios. Keywords: Lithium, Electric vehicles (EVs), Battery recycling
REVIEW ON GREEN BUILDING
Authors:   Civil Engineering Department, Maharana Pratap Engineering College, Sonkar Amit , Kumar Manish , Gupta Rajat , Dixit Divyanshu , Rahul Rahul
Published: April 2023

As we know today exist a vast and varied literature on the structural designs of buildings the world over .It would be no exaggeration to say that high tech applications in construction technology have vastly benefitted the mankind today as never before. However the application of green technology to structural designed construction of buildings is only of recent origin. Building have major environmental impacts over their entire life. Cycle. Resources such as ground cover. Forests, water and energy are depleted to construct and operate buildings. A green building is one which use less water, optimizes energy. Efficiency, conserves natural resources, generates less waste and provides heal their space for occupants, as compare to conventional building. Green building has been define as the practice of creating structures and using process that are environmentally responsible and resource efficient throughout a building life building’s life cycle from site to design , construction operation , maintenance ,renovation and deconstruction . A eco friendly building, which puts less strain on the natural resources and function with lesser wastages, better efficiencies, is more habitable and pleasant to live in. In recent year green building has become the most important product for the sustainable development. A green building is a building which is design constructed or operated to reduce or eliminate the negative impact and create a positive impact on our climate and surrounding. Green building construction providers may environmental, economical as own as social benefits. This paper will give us a idea about as well as advantages and disadvantages about green building and we will also discuss about the use of waste aggregates and green concrete in the construction of green building. Key words: Green building Aggregates, Sustainable development , Leeds, Energy efficient building.
Power Efficient Mini Inverter
Authors:   Department Of Electrical Engineering Department Of Electrical Engineering Samarth polytechnic, Belhe, Rushikesh Dahale , Om Aher , Tanmay Koymahale , Swami Gunjal
Published: April 2023

Inverters are extensively used in both residential and commercial settings to serve as a backup power source in the event of a power outage from the utility grids. In the case of a power outage, an inverter powers the electric equipment. As the name suggests, an inverter converts AC to DC to charge the battery before inverting DC to AC to power the electronic devices. So here is a power efficient converter that is compact in size and can provide an output voltage of 220v-230/150w. This energy-efficient mini inverter can be used to power items such as WiFi networks, mobile charges, lights, and so on. Key Words: Transformer, Inverter, AC Load etc.
Design And Fabrication of Experimental Manufacturing of Pellets from Waste Material
Authors: PAWAR Prof . S. S , Nimbalkar Tushar B , Taywade Dhiraj S. , Wasnik Sandip A , Jaunjal Vaibhav R. , Nandeshwar Mangesh A
Published: April 2023

Many developing countries produce huge amount of agro waste. The disposal of this waste is a major problem. The residues like wheat and rice husk, sawdust from carpentry shops, groundnut shells, and dry leaves from plants are available in a large quantity. Apart from the problems of storage, transportation and easy handling of this waste, burning of biomass in grates poses a greater problem of widespread air pollution. Biomass pellets are a well-liked sort of biomass fuel, generally made up of wood wastes, agricultural biomass, commercial grasses and forestry residues. In addition to savings in transportation and storage, pelletization of biomass facilitates easy and price effective handling. Dense cubes pellets have the flow ability characteristics almost like those of cereal grains. The even geometry and structure of biomass pellet helps in automatic feeding. Densely packed biomass pellets help in good durability in transport and storage. Pellets if densely packed and the moisture content is low the combustible properties can be increased. Keywords: Solar Energy, Wind Energy, PV Cell, Renewable Energy, Hybrid Power System, Electricity.
Disability Inclusive Disaster Preparedness
Authors:   MA disaster studies, SCDR Jawaharlal nehru University New delhi, Pandey Devendra
Published: April 2023

Disasters have a significant effect on human infrastructure, lives, and means of subsistence. They can be the result of natural disasters (earthquakes, floods, cyclones, etc.) or events brought on by humans (like climate change), which can result in food shortages and the eviction of sizable populations. Even while it's critical that we comprehend and lessen human involvement in disasters, natural factors will always play a part. To lessen their effects, we must make people less vulnerable. Risks can be decreased and communities' ability to withstand disasters can be increased through a variety of programmes, including Disaster Risk Reduction (DRR). Although they are frequently more exposed during wars and displacements, people with disabilities are frequently ignored during the crisis management cycle, especially during relief efforts, and are rarely thought of as significant actors in conflict prevention. According to Articles 11 and 322 of the UN Convention on the Rights of Persons with Disabilities (CRPD), programmes for disaster relief, emergency response, and disaster risk reduction must include and benefit people with disabilities. Disability-inclusive disaster preparedness is the topic of today's discussion.
A STUDY ON THE EFFECTS OF PLASTIC ON MARINE LIFE & ITS POSSIBLE SOLUTIONS
Authors:   JU-CMS, Bangalore, Babu T Nirupama Shankar , P Sindhu , G Anand Dr. Raghu , Mary T Mrs. Shilpa
Published: April 2023

When natural degradation processes are slow and technological cleanup methods are ineffective, plastic pollution is considered "poorly reversible" in that particular ecosystem. In areas where plastic pollution has had a harmful impact, it may be nearly impossible to reverse the damage. Weakly reversible plastic pollution can result in changes to the carbon and nitrogen cycles, alterations to soil and habitat, sedimentation, and effects on aquatic ecosystems and rare or keystone species. Additionally, there are potential effects on ecotoxicity and related societal impacts. The best solution to the threat of plastic pollution is to quickly reduce environmental emissions by decreasing the use of virgin polymers and implementing globally coordinated waste management strategies. Keywords: Plastic Debris, Marine, GDP, Polymer, Discharge.
DIABETIC RETINOPATHY DETECTION USING MOBILENETV2 MODEL
Authors: VINEELA T , KRISHNAVENI K , MEGHANA K , LEKHANA B , SWATHI M
Published: April 2023

Diabetic Retinopathy is caused by damage to the blood vessels In the tissue at the back of the eye(Retina).DR is a common complication of diabetes mellitus,which causes lesions on the retina that effect vision.If it is not detected early it can lead to blindness.DR early detection and treatment can significantly reduce the risk of vision loss.Unlike computer-aided diagnosis systems, opthalmologists must manually diagnose DR retina fundus images, which takes time, effort, and money and is prone to error. Convolutional neural networks are becoming more popular as a deep learningmethod for image analysis, and they are extremely effective.We implemented the MobileNetV2 model in CNN to Detect that the image contains which type of DR.Inspite of the stages of DR we implemented that the image contains DR or NO DR separatly.From the results of the Experiments,the highest Accuracy Values are 75% for five stages and 95% for two stages.Two stage detection produced a Precision score of 94%,Recall score of 97%. Key Words: Diabetic Retinopathy, Retina Fundus Images, CNN, MobileNetV2.