天津大学学报(自然科学与工程技术版)最新文献

{"title":"Design and Implementation of Enhanced Security Model for Wireless Sensor Network on ARM Processor","authors":"Prakash K Sonwalkar, Vijay H. Kalmani","doi":"10.55582/jtust.2022.55110","DOIUrl":"https://doi.org/10.55582/jtust.2022.55110","url":null,"abstract":"Due to the radio range of the network, suspicious transmission, unattended nature, and easier access, Wireless Sensor Networks are vulnerable to malicious users and physical attacks. Hence security is a must in these cases. A workable solution to these problems might be to create a WSN for a secure temperature sensing system. Sensors gather temperature measurements, which are then communicated to an advanced RISC microprocessor (ARM) using Wireless Fidelity (Wi-Fi) technology, which has been proven to transfer data accurately and reliably. The data is then stored in memory, controlled by the microprocessor. An ARM 9-based Samsung S3C2440 Controller running on the Linux operating system is used to achieve the functionality. The security system is incorporated using the host MCUs, and the temperature values are converted to digital form using the ARM processor’s ADC (S3C2440). The processor is connected to the console terminal through UART, which regularly sends data to the system. Security data is monitored and transferred to other Wi-Fi-equipped devices through a USB-based Wi-Fi module. The temperature readings are continuously monitored via this wireless sensor network. We perform the validation of our study through MATLAB simulations. We measure the sensor nodes’ total energy dissipated, throughput, and lifetime through MATLAB simulations. Over all in this research, we develop improved security in WSN system with application in ARM controller-based secured temperature monitoring system. This paper paves a direction toward further research in physical security in Wireless Sensor Networks.","PeriodicalId":34975,"journal":{"name":"Tianjin Daxue Xuebao (Ziran Kexue yu Gongcheng Jishu Ban)/Journal of Tianjin University Science and Technology","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78579607","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":"RESOURCE PROVISIONING AND LOAD EVALUATING IN CLOUD ATMOSPHERE USING OPTIMIZATION TECHNIQUES","authors":"Pavan N. Kunchur, Dr. Manjunath Managuli, Sadhana Bangarashettar, Uttam U. Deshpande, S. Salake, Simron Potnis","doi":"10.55582/jtust.2022.55104","DOIUrl":"https://doi.org/10.55582/jtust.2022.55104","url":null,"abstract":"Cloud computing is a developing technology that requires an infinite approach of resourceful sources to customers. The comprehensive and energetic characteristics of cloud computation involve effective and improved methods for resource provisioning and consignment evaluation. Cloud observing is essential associating overdeveloped and underutilized basic appliances which host Virtual Machines (VMs). Load stabilizing is essential for the cost-effective and efficient operation of resources. Most of the writers have taken the focus to measuring back the get span for execution requirements on multiple VMs. In this document, a fundamental evaluation on development and consignment evaluating techniques has been completed and various techniques are evaluated on the idea of SLA Violations, CPU utilization, energy utilization, and cost limitations.","PeriodicalId":34975,"journal":{"name":"Tianjin Daxue Xuebao (Ziran Kexue yu Gongcheng Jishu Ban)/Journal of Tianjin University Science and Technology","volume":"25 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82437310","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":"Study and Analysis of Dual Mode Operation of Single DC Motor (Series and Separately Excitation Modes)","authors":"Dr. Rubeena Saleem, Dr. Richa Kapoor, Dr. Rahat Ullah Khan","doi":"10.55582/jtust.2022.55102","DOIUrl":"https://doi.org/10.55582/jtust.2022.55102","url":null,"abstract":"This paper presents a novel idea of a method to run DC series motor and then into DC separately excited mode and vice versa during operation. The purpose of this paper is to give an analysis of a real-time study performed experimentally for both series and separately excited operation of DC motor. The DC motor initially started in series mode giving high torque at a constant load in the form of an inertia wheel as starting load. The motor is then switched to separately excited DC mode with the help of switches after attaining the required number of rpm or speed. High speed with sufficient torque and good controllability is observed in separately excited DC motor mode. Eventually, this system has been proven with experimental results and proposed for numerous applications, especially where high starting torque and less speed are required and after that, high speed is required. Analyzing results with the help of MATLAB previously, a hardware-based real-time operating system has been provided. This setup can be proposed for various applications such as battery-operated DC machines especially Electric Vehicles and off-road Electric Vehicles and Solar powered applications as well.","PeriodicalId":34975,"journal":{"name":"Tianjin Daxue Xuebao (Ziran Kexue yu Gongcheng Jishu Ban)/Journal of Tianjin University Science and Technology","volume":"102 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73827917","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":"STUDY ON THE PORT AND MARITIME TRANSPORT SYSTEMS","authors":"T. Bhowmik","doi":"10.55582/jtust.2022.55106","DOIUrl":"https://doi.org/10.55582/jtust.2022.55106","url":null,"abstract":"As global commerce, new markets, and a more diverse supply chain took shape in the latter half of the twentieth century, many facets of the shipping sector were altered. Worldwide supply chains and freight systems are intertwined with the global marine transport system. Many transport systems are coupled to accomplish the aim because of the complexity of the marine transportation system (MTS). MTS and its interaction with other modes of transportation are being studied using system dynamics (SD). We began by looking at SD application letters on MTS as part of the study’s first step. After conducting a literature study, our findings give an overview of SD modeling on MTS and propose new research topics.","PeriodicalId":34975,"journal":{"name":"Tianjin Daxue Xuebao (Ziran Kexue yu Gongcheng Jishu Ban)/Journal of Tianjin University Science and Technology","volume":"173 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85596267","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":"DETECTION OF LIVER CANCER DISEASE USING MICROSCOPIC IMAGES","authors":"Gururaj L. Kulkarni, S. Sannakki, V. Rajpurohit","doi":"10.55582/jtust.2022.55109","DOIUrl":"https://doi.org/10.55582/jtust.2022.55109","url":null,"abstract":"The detection of liver cancer in its early stages is very difficult and more time-consuming. The proposed system collects microscopic images as input from the patients and preprocesses them to extract features. Once the feature extraction stage is completed the classification of the image needs to be done on them. The proposed system uses the classifier support vector machine (SVM) technique to classify the images into their respective classes. The classifier in the proposed system uses the normal approach of classification i.e., a classifier has normally two stages one is training and then testing. Each of these classifiers goes through both stages. Firstly, the training stage involves the system learning about the images and their respective category which is already known from the expert advice. In this way, a series of images are given in the form of input with their actual category. The classifier learns from this and then in the testing phase a new image is given for classification to the system. The system uses the prior knowledge that it has learned during the training phase to predict the category for the image.","PeriodicalId":34975,"journal":{"name":"Tianjin Daxue Xuebao (Ziran Kexue yu Gongcheng Jishu Ban)/Journal of Tianjin University Science and Technology","volume":"34 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81251534","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":"SECURE DATA STORAGE IN CLOUD COMPUTING USING DECENTRALIZED CRYPTOGRAPHY","authors":"Manisha Yadav, Karan Singh, A. Pandey, Rajeev Kumar","doi":"10.55582/jtust.2022.55101","DOIUrl":"https://doi.org/10.55582/jtust.2022.55101","url":null,"abstract":"The world is moving around “Cloud Computing” due to the rapid advancement of research and innovation. The necessity of information sharing is gradually expanding over the cloud. One of the most serious concerns about the cloud is secure information sharing. To give the greatest assistance, A decentralized cryptography technique that offers secure wireless multicast communication is proposed here. The offered approach enables simultaneous access and information exchange through the internet using various key distribution centers. In this proposed technique, different reads and different composers are supported. The message's secrecy has been achieved. Agreement safe property is likewise upheld. Cloud-related security vulnerabilities are also investigated. In this proposed work, the distinctive key circulation and group of properties at various levels of the framework are decentralized. This framework just allows the approved clients to peruse, alter, erase, compose and access the information which is put away in the cloud.","PeriodicalId":34975,"journal":{"name":"Tianjin Daxue Xuebao (Ziran Kexue yu Gongcheng Jishu Ban)/Journal of Tianjin University Science and Technology","volume":"50 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91062972","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":"An Implementation of Self-Driving Car","authors":"Dr. Shobha R Patil, Kishor Parvatikar, Prathiksha P Chetana, Bhagyawant Biradar, Vidyashri Mudagal","doi":"10.55582/jtust.2022.55103","DOIUrl":"https://doi.org/10.55582/jtust.2022.55103","url":null,"abstract":"In the era of automation, car manufacturers have been at their technological peak. While companies like Tesla and BMW are out there testing driverless cars, their main aim is to make the technology a household thing in years to come. The Self Driving Car project is a small scaled project designed to run a miniature car using technology like machine learning. The project consists of both hardware and software aspects, from building it from the scratch to making it run on the homemade track. This project will include object detection, lane detection, traffic signal lights processing, turn indicators and many more. To put all of these in a nutshell, it is a vehicle that is capable of sensing it’s environment and navigating without human input. a team of four guys will be working hard to make a miniature car run on itself without a driver, using the present-day technologies such as machine learning and IOT.","PeriodicalId":34975,"journal":{"name":"Tianjin Daxue Xuebao (Ziran Kexue yu Gongcheng Jishu Ban)/Journal of Tianjin University Science and Technology","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87495198","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":"AN EFFICIENT BREAST CANCER RECURRENCE PREDICTION USING SIMULATED ANNEALING INERTIA WEIGHT-BASED CHICKEN SWARM OPTIMIZATION ALGORITHM WITH WEIGHTED MINKOWSKI RADIAL BASIS FUNCTION-BASED SUPPORT VECTOR MACHINE","authors":"Preetha G, S. Ravichandran","doi":"10.55582/jtust.2022.55105","DOIUrl":"https://doi.org/10.55582/jtust.2022.55105","url":null,"abstract":"Nowadays the more often diagnosed type of cancer in women is breast cancer. Approximately 12 percent of females worldwide are afflicted by it. Recurrent breast cancer refers to breast cancer that recurs despite having been successfully treated. Breast cancer recurrence is one of the most feared outcomes for cancer patients. As a result, their quality of life is impacted. Even though early-stage breast cancer prediction has always been a difficult research challenge, data mining algorithms can be of considerable assistance in addressing this issue. The prior method used naive Bayes, REPTree, and K-nearest neighbor, Particle Swarm Optimization (PSO) based feature selection for breast cancer recurrence prediction. It is simple for the Particle Swarm Optimization (PSO) method to fall into local optimum in high-dimensional space and has a poor rate of convergence in the iterative process. Furthermore, because of the Nave Bayes’ class conditional independence and the resulting loss of accuracy, it is not recommended. To deal with this problem, the proposed system devised a Simulated Annealing Inertia Weight-based Chicken Swarm Optimization (SAIWCSO) algorithm with a Weighted Minkowski Radial Basis Function-based Support Vector Machine (WMRBF-SVM) for the diagnosis of the reputation of breast cancer. The WBCD is used as an initial source of data. Z-score normalization is then used to ensure that the data is in a consistent format. An algorithm called SAIWCS selects the best features. It enhances the categorization accuracy. To improve the high detection rate, a Weighted Minkowski Radial Basis Function-based Support Vector Machine (WMRBF-SVM) is used to diagnose breast cancer. Python is being used to model the experiments. The experimental findings reveal that the suggested system outperforms the present system with regard to the accuracy, precision, recall, specificity, and f-measure.","PeriodicalId":34975,"journal":{"name":"Tianjin Daxue Xuebao (Ziran Kexue yu Gongcheng Jishu Ban)/Journal of Tianjin University Science and Technology","volume":"24 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75301049","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}