2022 Second International Conference on Advanced Technologies in Intelligent Control, Environment, Computing & Communication Engineering (ICATIECE)最新文献

{"title":"Bayesian Financial Panel Data Model based on MCMC Sampling Algorithm","authors":"Ou Ji, Liu Yang","doi":"10.1109/ICATIECE56365.2022.10046912","DOIUrl":"https://doi.org/10.1109/ICATIECE56365.2022.10046912","url":null,"abstract":"The theory and application of panel data modeling is an important field of econometric research, but the existing theoretical assumptions of panel data are inconsistent with the actual situation that the data generation behavior and parameter distribution of economic variables are constantly changing; The asymptotic theory is also inconsistent with the characteristics of panel data in practical applications, and it is difficult to guarantee the excellent properties of model parameter estimators. This paper is about the development of Bayesian model of financial data. The model is based on MCMC sampling algorithm and uses two kinds of priori: a priori distribution of mean and variance and a priori distribution of parameters. We also propose an efficient method to estimate the posterior distribution from MCMC samples. The proposed model can be used in many applications, such as stock market analysis and portfolio management. For example, it can be used to analyze the daily returns of stocks or portfolios and predict future returns by using historical data. It can also be used to study the factors that affect investment performance or the relationship between risk and return.","PeriodicalId":199942,"journal":{"name":"2022 Second International Conference on Advanced Technologies in Intelligent Control, Environment, Computing & Communication Engineering (ICATIECE)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128298052","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":"Convolutional Neural Network-based Covid-19 Analysis with Internet of Things","authors":"T. Saravanan, D. Ramalingam, K. Keerthika, T. Sathish","doi":"10.1109/ICATIECE56365.2022.10047327","DOIUrl":"https://doi.org/10.1109/ICATIECE56365.2022.10047327","url":null,"abstract":"The very hazardous respiratory illness known as COVID-2 (SARS-CoV-2), which is the root cause of the even more serious illness known as COVID-19, was caused by the COVID-2 virus. The COVID-19 virus was identified in Wuhan City, China, in the month of December in 2019. It began in China and then spread to other parts of the world before it was officially classified as a pandemic. It has had a significant impact on day-to-day life, the welfare of people in general, and the economy of the whole globe. It is of the utmost importance, particularly in the beginning stages of treatment, to pinpoint the constructive experiences that are useful at the proper time. The identification of this virus involves a substantial number of tests, each of which takes a certain amount of time; nevertheless, there are currently no other automated tool kits that can be used in their place. X-ray photos of the chest that are obtained via the use of radiology imaging methods may provide significant insight into the COVID-19 infection if they are analysed carefully. An accurate diagnosis of the infection may be obtained via the application of deep learning techniques, which are applied to radiological images and make use of cutting-edge technology such as artificial intelligence. Patients who reside in distant places, where it may not be feasible for them to have rapid access to medical facilities, may benefit from this kind of analysis throughout the course of their therapy. One of the deep learning strategies that are used in the creation of the model that has been proposed is the use of convolutional neural networks. The images of chest X-rays are analysed by these networks to detect whether a person has a positive or negative result for the Covid gene.","PeriodicalId":199942,"journal":{"name":"2022 Second International Conference on Advanced Technologies in Intelligent Control, Environment, Computing & Communication Engineering (ICATIECE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129827008","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 Recognition Using Support Vector Machine In MATLAB","authors":"S. Varshini, Gottimukkala Sarayu Varma, Sarada Jayan","doi":"10.1109/ICATIECE56365.2022.10047160","DOIUrl":"https://doi.org/10.1109/ICATIECE56365.2022.10047160","url":null,"abstract":"The proposed work is to make use of the support vector machine algorithm in building a face recognition model using the MATLAB software. The efficiency of the face recognition model that is developed is tested by making use of two different image databases called the Faces94 database and the FEI database by considering a few images in both the databases. Apart from the images considered from the two databases, a few more images with some customized distortions were also taken into consideration to test the model. The main objective of this work is to check how the support vector machine algorithm with the aid of the bag of visual words module from MATLAB would work when used in the domain of face recognition.","PeriodicalId":199942,"journal":{"name":"2022 Second International Conference on Advanced Technologies in Intelligent Control, Environment, Computing & Communication Engineering (ICATIECE)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127367761","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":"SwasthPhasal: An E-farming Web Portal","authors":"Pallavi Saindane, Siddarth Bugtani, Yashvi Hiranandani, Vishwesh Jagtap, Kabir Rajpal","doi":"10.1109/ICATIECE56365.2022.10046925","DOIUrl":"https://doi.org/10.1109/ICATIECE56365.2022.10046925","url":null,"abstract":"Agriculture has been India's main profession for centuries. According to the Indian Agricultural Research Institute, the need for edible grains will increase to 345 million tones in the next decade, however its role in India's GDP has recently declined. The current situation of farmers is disappointing as most of them live in severe poverty. They have to take loans to make ends meet and at times it becomes difficult to repay the loan. Our portal aims at providing crop seeds and fertilizers at cheap prices. The option of renting farming equipment would also be available. The cutting-edge technology which has been used over the past few years, has been lagging when it comes to farming. The main reason for this is both the disregard of these technologies and also the inaccessibility. Though farmers strive hard, even in this 21st century, they are bamboozled by third party retailers, which increases their poverty. In this covid pandemic, there was a huge demand for the agricultural products but it was difficult to get all the materials as well as information online. The solution to all the problems is Agro marketing which would make everything easy and secure. E-Farming provides a way for farmers to buy produce with only a basic knowledge of how to use the internet. This website is a centralized approach to guide farmers in all aspects and display current market prices of various products without brokers' cost. It will also include various government agricultural programs and access to new cultivation techniques. [2] The farmer will also be helped in the harvesting process by giving them a 6-day weather forecast and a schedule via SMS provided by the system. Along with this, they will be able to connect with agro health advisors to raise their queries regarding crop health and efficient farming techniques.","PeriodicalId":199942,"journal":{"name":"2022 Second International Conference on Advanced Technologies in Intelligent Control, Environment, Computing & Communication Engineering (ICATIECE)","volume":"238 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121632012","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":"ETL, ELT and Reverse ETL: A business case Study","authors":"Bharat Singhal, A. Aggarwal","doi":"10.1109/ICATIECE56365.2022.10046997","DOIUrl":"https://doi.org/10.1109/ICATIECE56365.2022.10046997","url":null,"abstract":"Most organizations today rely heavily on their data warehouse to make enterprise level decisions. Data Warehouse pulls data from various heterogeneous sources and thus, when setting up a data warehouse, there are three ways to process data: ELT (Extract, Load and Transform), ETL (Extract, Transform and Load) and reverse ETL. It can be challenging to select the best approach when deciding how to implement a data warehouse because it has to do with costs, procedures, performance, and ongoing company improvement. In this paper, we'll be discussing the three approaches and their use cases.","PeriodicalId":199942,"journal":{"name":"2022 Second International Conference on Advanced Technologies in Intelligent Control, Environment, Computing & Communication Engineering (ICATIECE)","volume":"267 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123108360","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":"Analysis on Fake News Detection with Novel Bert Algorithm and Random Forest","authors":"Heena Khera, Sanjai Kumar Srivastava","doi":"10.1109/ICATIECE56365.2022.10047506","DOIUrl":"https://doi.org/10.1109/ICATIECE56365.2022.10047506","url":null,"abstract":"As opposed to random forest algorithms, the objective of this study is to increment expectation rate involving a clever model of bidirectional encoder portrayals for transformers (BERT). The viability of Novel BERT and Random Forests are stood out utilizing a dataset from a size of 1100. A structure for recognizing fake news in electronic media networks is advanced utilizing Random Forest. The structure decides an example size of 20 for clinical. The Clever Bert algorithm beats Random Forest as far as Precision rate by 8.33%. BERT accomplishes a pace of 0.002, which is fundamentally higher than the random forest algorithm. In this review, it was found that the clever BERT algorithm performed greater at anticipating fake news than Random Forest. With a novel bidirectional encoder portrayal for transformers (BERT) model rather than the random forest algorithm, this study looks to expand the expectation rate. The viability of Novel BERT and Random Forests are stood out utilizing a dataset from a size of 1100. A structure for distinguishing fake news in electronic media networks is advanced utilizing Random Forest. The structure decides an example size of 20 for clinical. The Clever Bert algorithm beats the Random Forest algorithm as far as Precision rate by 8.33%. BERT accomplishes a pace of 0.002, which is fundamentally higher than the random forest algorithm. The consequence of this study is that the clever BERT algorithm performs better compared to Random Forest anticipating of fake data.","PeriodicalId":199942,"journal":{"name":"2022 Second International Conference on Advanced Technologies in Intelligent Control, Environment, Computing & Communication Engineering (ICATIECE)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126870522","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":"VNPDR Employed in the Computer Vision Realm for Vehicle Authentication and Parking","authors":"Manjula Gururaj Rao, Sumathi Pawar, Priyanka H, A. Pradeep","doi":"10.1109/ICATIECE56365.2022.10046917","DOIUrl":"https://doi.org/10.1109/ICATIECE56365.2022.10046917","url":null,"abstract":"License plate identification is necessary for a variety of applications, including automated toll collection, traffic law enforcement, security monitoring of restricted locations, and unattended parking lots (LPR). Due to different operating conditions, LPR procedures vary depending on the application. Permission for the vehicle to access the premises is definitely necessary in several public sectors, including hospitals, airports, schools and universities. Hospitals, community centers, and other public venues have limits on where vehicles are allowed to park. Parking the vehicles in specified spots, matters a lot in public areas in various circumstances. In hospitals, patients' lives are more important and emergency situations must be taken into mind. In university and collages the number of the vehicles usage and intake is more. The allotting the slots to them during the peak hour and authorizing the vehicle is very much difficult and it is tedious job. Automated license plate detection can help stop these incidents from happening by allowing us to focus on parking the vehicle while simultaneously checking that it is authentic. The suggested model begins by segmenting the image, then identifies and categorizes the vehicle. The parking space will be assigned to the specific vehicle based on the categorization. A multimodal approach is applied to detect and categorize the VNP images. The results and the accuracy of the multimodal approach are discussed.","PeriodicalId":199942,"journal":{"name":"2022 Second International Conference on Advanced Technologies in Intelligent Control, Environment, Computing & Communication Engineering (ICATIECE)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121054150","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":"Mobile Sink Path Planning for Optimized Data Collection in WSN","authors":"Mayank Joshi, Namit Gupta","doi":"10.1109/ICATIECE56365.2022.10047171","DOIUrl":"https://doi.org/10.1109/ICATIECE56365.2022.10047171","url":null,"abstract":"Various data collecting strategies based on mobile sinks and various forwarding have already been developed to extend the lifespan of wireless sensor networks. In this work, we offer an end-to-end data collecting technique inspired by optimizing ant colonies. Together, the strategy would choose collecting places and map up travel itineraries. Initially, the suggested approach builds a data-forwarding tree before moving on to heuristically choose collecting spots and tour routes. The results of the assessment process show that the final strategy has a better chance than other methods of increasing the lifespan of a wireless sensors network, especially in the case of an uneven distribution of sensors. As an added bonus, the end-to-end technique is flexible enough to be used in tandem with other methods.","PeriodicalId":199942,"journal":{"name":"2022 Second International Conference on Advanced Technologies in Intelligent Control, Environment, Computing & Communication Engineering (ICATIECE)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125136889","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":"A Hybrid Approach of Web Based Heart Disease Diagnosis with Neural Networks","authors":"S. Prasad, Nidhi Mathur","doi":"10.1109/ICATIECE56365.2022.10047363","DOIUrl":"https://doi.org/10.1109/ICATIECE56365.2022.10047363","url":null,"abstract":"The prescient displaying approach for assessing cardiovascular gamble in medical services informatics is extremely challenging. Consequently, utilizing delicate figuring innovations to clinically assess clinical data sets and prescient displaying is viewed as a beneficial and practical decision for clinical specialists. Accordingly, delicate registering advances are essential in the present medical services applications since they can perform information examination and demonstrating and assist specialists with making ideal, precise clinical decisions. Information mining is the most common way of finding designs in a data set of wellbeing science factors that connect indicator factors. The displaying of convoluted, powerful frameworks is OK for existing information mining approaches. In this review, we propose a group model system for coordinating the prescient force of various classifiers' models for further developed expectation precision. To foresee and analyze the repeat of cardiovascular disease, this review utilizes group figuring out how to consolidate the demonstrating approaches of five classifiers, including support vector machines, fake neural networks, Credulous Bayesian, relapse examination, and arbitrary woods. Cleveland and Hungarian cardiovascular information records were taken from the UCI archive. The two most significant elements in myocardial localized necrosis determination are timing and exactness. Minor demonstrative slip-ups can essentially affect the length and cost of treatment as well as seriously jeopardized the patient. This study portrays a choice emotionally supportive network (DSS) for myocardial localized necrosis (MI) finding and the board, along with persistent pulse checking of the patient, based on neural networks and factual interaction control diagrams. In the whole world, heart disease is viewed as one of the main sources of death. Clinical experts find it challenging to foresee on the grounds that a complicated undertaking calls for experience and high level information. Presently, information mining and AI based clinical strong advances assume a huge part in the forecast of cardiovascular diseases. In this review, we propose a clever hybrid strategy for the expectation of cardiovascular disease utilizing an assortment of AI techniques, including Calculated Relapse (LR), Versatile Helping (AdaBoostM1), Multi-Objective Developmental Fluffy Classifier (MOEFC), Fluffy Unordered Rule Enlistment (FURIA), Hereditary Fluffy Framework LogitBoost (GFS-LB), and Fluffy Hybrid Hereditary Based AI.","PeriodicalId":199942,"journal":{"name":"2022 Second International Conference on Advanced Technologies in Intelligent Control, Environment, Computing & Communication Engineering (ICATIECE)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125258223","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":"English-Chinese Translation Online Teaching System Based on Data Mining Algorithm","authors":"Chenxi Li","doi":"10.1109/ICATIECE56365.2022.10047237","DOIUrl":"https://doi.org/10.1109/ICATIECE56365.2022.10047237","url":null,"abstract":"With the rapid development of modern communication technology, mobile phones, as an indispensable communication tool for people, record the trajectory of people's activities, not only in the real space, but also in the network space. The analysis and mining of all kinds of information data has been very. Data mining, which plays a crucial role in many scenarios, can help us discover a lot of valuable knowledge and anomaly patterns. The cultivation of translation ability is the core goal of current translation teaching, and the research on the composition of translation ability and the methods to improve translation ability is increasingly becoming the focus of translation teaching research. The development of translation ability is a dynamic interactive process, not a linear process guided by gradual input, but a dyna mic systematic behavior full of peaks, valleys, advances, reversals, stagnation, and even leaps forward, since it is composed of multiple sub-abilities and the multi-sub-abilities do not develop synchronously. The characteristics of dynamic assessment coincide with the dynamic change and complexity of the development of translation ability. In this paper, data mining algorithms are used to study the existing English-Chinese translation online systems.","PeriodicalId":199942,"journal":{"name":"2022 Second International Conference on Advanced Technologies in Intelligent Control, Environment, Computing & Communication Engineering (ICATIECE)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131409001","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}