Vital and health statistics. Ser. 4, Documents and committee reports最新文献

{"title":"Iot Based Security System for bank Vaults","authors":"","doi":"10.46632/daai/2/4/17","DOIUrl":"https://doi.org/10.46632/daai/2/4/17","url":null,"abstract":"The main objective of our paper is to design and implement a bank vault security system based on IOT technology. The proposed system is designed which implements a security system to handle the cash lockers by the authorized person. It is developed using Arduino Microcontroller which is interfaced to the RFID reader to read the code, keypad module for password authentication and camera module for face recognition. If unauthorized person tries to break or open the lock, it is automatically monitored and detected using embedded and IOT technology. After detection, GSM and IOT module is used to send information immediately to the respective authorities and the person is captured. The proposed system found to be cost effective with better performance and easy to implement","PeriodicalId":76806,"journal":{"name":"Vital and health statistics. Ser. 4, Documents and committee reports","volume":"3 8 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77817428","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Automatic Traffic Sign Detection and Recognition Using Deep Convolution Neural Network","authors":"","doi":"10.46632/daai/2/4/1","DOIUrl":"https://doi.org/10.46632/daai/2/4/1","url":null,"abstract":"","PeriodicalId":76806,"journal":{"name":"Vital and health statistics. Ser. 4, Documents and committee reports","volume":"44 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79669967","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Polymeric Materials for Bone and Cartilage Repair Using IBM SPSS Statistics Method","authors":"Padmavat Nirmala Shivram","doi":"10.46632/jame/1/4/9","DOIUrl":"https://doi.org/10.46632/jame/1/4/9","url":null,"abstract":"Polymeric materials for bone and cartilage repair Introduction: Polymers are called macromolecules made up of very large molecules natural or artificial one of the classes of objects, the simple chemicals called monomers are multiples of units. Polymers many substances in living things make, for example, proteins, cellulose, and nucleic acids. Natural and synthetic polymeric materials in bone tissue engineering are widely used because they are extracellular similarity to matrices and have considerable biocompatibility and biodegradability. Research significance: One of the most harmful and expensive issues in human health is dysfunction, injuries, or other types of damage to human tissue and organs. Different surgical procedures have been developed to solve these concerns, including total artificial substitutes, combined artificial kidneys, etc. Inert processed tissues heart valves, autogenic or allogeneic tissues, and total artificial kidney and prosthetic kidneys (transplantation). Organ transplantation will face significant challenges due to the scarcity of organ donors, the lifetime requirement for immunity, and its devastating consequences. Also, transplanted tissue does not provide all the functionality own tissue and can covers the donor site problem. Concerning the non-biological, there could be material issues. Like, disease, and shortage limited durability and biocompatibility. These factors have made stem cells, tissue engineering (te), and organogenesis promising and significant industries. Research doesn't offer anything. Just organs and tissues transplantation, however, can provide fresh viewpoints medications for illnesses Methodology: SPSS statistics is a data management, advanced analytics, multivariate analytics, business intelligence, and criminal investigation developed by IBM for a statistical software package. A long time, spa inc. Was created by, IBM purchased it in 2009. The brand name for the most recent versions is IBM SPSS statistics. Evaluation parameters: Natural Polymer, Proteins Collagen, Silk fibroin, Polysaccharides Chitosan, Alginates, Bacterial cellulose, Synthetic Polymers. Results: the Cronbach's Alpha Reliability result. The overall Cronbach's Alpha value for the model is .590 which indicates 59% reliability. From the literature review, the above 61% Cronbach's Alpha value model can be considered for analysis. Conclusion: Cronbach's alpha reliability results. The overall Cronbach's alpha value for the model was .590, indicating a reliability of 59%. From the literature review, the above Cronbach's alpha value of 61% can be considered to analyze the model.","PeriodicalId":76806,"journal":{"name":"Vital and health statistics. Ser. 4, Documents and committee reports","volume":"17 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84504385","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Accurate Stipulation of Weather Condition Using Deep\u0000Learning","authors":"","doi":"10.46632/daai/2/4/16","DOIUrl":"https://doi.org/10.46632/daai/2/4/16","url":null,"abstract":"Weather forecasting plays an important role in determining the impact of weather on various aspects of human life. for example, weather forecasting provides management assistance to private vehicles to reduce the risk of injury and congestion of tourists, which completely changes the sensitivity and predictability of the external environment and rainfall, wind visibility and more. A good and timely weather forecast has always been a bad weather scientist. however, traditional theory- driven numerical climate prediction (NWP) strategies to provoke anger and the need for powerful computer resources. Through the classification of images into several names such as rainy, sunny, cloudy, and foggy. By using these the weather can be easily predicted and we can get more accuracy rate. So that it helps the weather scientists to develop more ideas on prediction. Meteorological facts are mid-range geo-large facts. Deep studying-based climate prediction (DLWP) is expected to be a strong complement to lifestyle. At present, many researchers have endeavored to establish an in-depth study of facts driven by weather forecasting, and to produce the first results. In this paper, we examine modern weather forecasting studies based on in-depth study, within the context of neural community (NN) architecture, local and temporary scales, advancing data sets and benchmarks. Then we look at the advantages and disadvantages of DLWP by evaluating it in a standard NWP, and summarizing the capabilities of future DLW research\u0000topics","PeriodicalId":76806,"journal":{"name":"Vital and health statistics. Ser. 4, Documents and committee reports","volume":"86 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83941511","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Blockchain Based Privacy Preserving Recommendation System\u0000(BPPRS) Using Digital Signatures","authors":"","doi":"10.46632/daai/2/4/14","DOIUrl":"https://doi.org/10.46632/daai/2/4/14","url":null,"abstract":"Recommendation system plays an important role in the digital world, since it helps to find users interest. Collaborative filtering is the widely used algorithms in recommendation systems due to its simplicity and efficiency. However, when the user rating data is sparse, which leads to generate unreasonable recommendations for those users who provide no ratings. Faced with these problems, the proposed Blockchain based Privacy Preserving Recommendation System (BPPRS) model is built using a new collaborative filtering algorithm for recommendation by combining the Jaccard Similarity and Triangle Similarity (JSTS). Using the values calculated from JSTS, an item similarity matrix is constructed in order to find the zero rated users so that the item name of these users are recommended to the particular user who are closely similar. The experimental result shows that the proposed model mitigates the sparseness of the information. Further, the BPPRS model is enabled by the use of Blockchain technology to generate the hash value for each of the items recommended to the user; previous hash value is used for current recommended items hash value and stored in different blocks. The encryption of the data ensures the secure recommendation and also the use of MECDSA makes it a better trap door function.","PeriodicalId":76806,"journal":{"name":"Vital and health statistics. Ser. 4, Documents and committee reports","volume":"18 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86154921","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Third Eye: Forensic Face Sketch and Fingerprint Recognition","authors":"","doi":"10.46632/daai/2/4/27","DOIUrl":"https://doi.org/10.46632/daai/2/4/27","url":null,"abstract":"In Forensic science, Face sketches are time consuming and are very limited to identify subjects. In this paper ,we will present an interface which will allow users to create a face sketch of the suspects or they can insert and verify their hand drawn forensic face sketch. After the construction of face sketch, it can automatically match with the faces in\u0000the database. Fingerprint of suspects is also verified in database. By using the face and fingerprint recognition we can retrieve the details of the suspects from aadhaar database. We can easily identify the suspect with the help of the aadhaar details from aadhaar database. Biometric Recognition is necessary for safety and security","PeriodicalId":76806,"journal":{"name":"Vital and health statistics. Ser. 4, Documents and committee reports","volume":"39 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86605293","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Motion Sensor Detector for Home Security Applications","authors":"","doi":"10.46632/daai/2/4/6","DOIUrl":"https://doi.org/10.46632/daai/2/4/6","url":null,"abstract":"","PeriodicalId":76806,"journal":{"name":"Vital and health statistics. Ser. 4, Documents and committee reports","volume":"66 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77961323","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Face Mask Detection by Using Convolutional Neutral Net-work and Tensor Flow","authors":"","doi":"10.46632/daai/2/4/21","DOIUrl":"https://doi.org/10.46632/daai/2/4/21","url":null,"abstract":"Due to this pandemic situation, the WHO introduced that every person must to wear the mask against the deadly virus (COVID-19). The basic aim of our project is to predict the face mask on human face or not. Nowadays, 60% of people are not wearing the mask while going outside. So, it leads to increase positive cases and spreading of disease. Also, rapidly increasing day-by-day because of these critical situations many countries are trying to protect the people but most of them are roaming outside without wearing mask. To overcome this critical situation, we created the Face Mask Detection Model to detect whether the person is wearing mask or not and deployed in Real Time Web application. We implemented the dataset in Convolution Neutral Network and by using Tensor Flow we trained Face Mask Detection Model. Finally, we test the results in Real-Time Web application using Web Framework. Alongside this, we have used concepts\u0000of neutral networks and output will be shown in Real Time web application whether the person is wearing mask or not. In our project, we can easily predict the person individually and control the spreading of disease day- by-day. This project can be used in Non-Crowded areas like Malls, Metro, Banks, IT Companies, etc…","PeriodicalId":76806,"journal":{"name":"Vital and health statistics. Ser. 4, Documents and committee reports","volume":"10 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89199560","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Ai Based Dual Authentication System","authors":"S. Gopinath, S. Pragadeswaran, P. Subaranjani, R. Mounitha, N. Parameshwari","doi":"10.46632/daai/2/4/29","DOIUrl":"https://doi.org/10.46632/daai/2/4/29","url":null,"abstract":"Artificial intelligence (AI) has demonstrated huge potential in a various real-world applications. However, some significant considerations like fairness, transparency and trustworthiness are still challenging when applying AI to trust-oriented applications such as E-voting. In this project, we aim to facilitate the consolidation of AI ecosystems by developing a blockchain-based traceable self-tallying E-voting system. The proposed system presents a novel voting system by using Fingerprint of Aadhar card. In E-voting system an voter can vote from anywhere as there will be two or more levels of authenticity checks. The system will act as registering module on activating switch by the super admin. For registering module, followed by the fingerprint verification. The system permits the elector to cast their vote, block chain technology comes into existence that is integrated within the machine. Each vote is added into each block encrypted by 256-bit SHA hash codes, the hashed block cannot be tampered by any individual as more security is added to the system. By adopting Blockchain within the distribution of information will scale back one in every of the cheating sources of database manipulation. The proposed mechanism of voting using Blockchain not only serves the election conducting bodies but also the voters who get notified in case of any meddling with their votes before the counting announcement.","PeriodicalId":76806,"journal":{"name":"Vital and health statistics. Ser. 4, Documents and committee reports","volume":"41 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83394731","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Handwritten Character Recognisation Using Machine Learning","authors":"","doi":"10.46632/daai/2/4/5","DOIUrl":"https://doi.org/10.46632/daai/2/4/5","url":null,"abstract":"","PeriodicalId":76806,"journal":{"name":"Vital and health statistics. Ser. 4, Documents and committee reports","volume":"30 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83581866","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}