2023 International Conference on Artificial Intelligence and Smart Communication (AISC)最新文献

{"title":"Blockchain effect on E-commerce: A framework for key research areas","authors":"Nethravathi K, Jeidy Panduro-Ramirez, A. Gehlot, Amit Barve, Sanjay C. P, R. Ponnusamy","doi":"10.1109/AISC56616.2023.10085137","DOIUrl":"https://doi.org/10.1109/AISC56616.2023.10085137","url":null,"abstract":"Several business applications and procedures are expected to be significantly disrupted by Blockchain-based technologies, which has significant consequences for ecommerce. In light of the potential blockchain based technology are popularly known as \"trust building systems\" that can be used in multiple business models and standard guidelines which evolved placed above a white period to achieve believe, serviceability, and enforcement in various domains such as cunsumers related business, business related connections have to be questioned and possibly adjusted. By enabling trustless trade interactions that work without specialized intermediaries or even central authority in the case of permission lessblock chains, Blockchain has the power to change how electronic commerce operates. Furthermore, giving universal access to immutable data across the whole supply chain may significantly alter the information and value exchange between businesses and consumers. The methodology presented in this paper are intended to motivate further study of the potential effects of Blockchain on e-commerce. Technology, law, organizational and quality challenges, as well as consumer difficulties, are the four key categories. This paper demonstrates how Blockchain may affect many Electronic commercial components in these relevant fields.","PeriodicalId":408520,"journal":{"name":"2023 International Conference on Artificial Intelligence and Smart Communication (AISC)","volume":"93 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123421200","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 Novel Dual Time-Point Unified Amyloid MRI/PET Data Analysis Technique","authors":"V. Vekariya, Alka Kumari","doi":"10.1109/AISC56616.2023.10084979","DOIUrl":"https://doi.org/10.1109/AISC56616.2023.10084979","url":null,"abstract":"There is disagreement regarding the best method for performing semi-quantified of amyloid in the preliminary assessment of sufferers with suspicious Alzheimer's & dementia illness in order to: (1) enable picture subjective explanation; (2) account for the propulsive actions of the detector, especially when it comes to at partly adjusting for blood circulation reliance; (3) evaluate the amyloid burden utilizing precise segmentation of subcortical & cortical region.Methodologies Comprehensive testing of a technique that included all of these features was performed on eighty-six patients who had amyloid (18F-florbetaben) MRI/PET in a medical context . After injecting the detector, early photos were taken within 0 & 10 minutes later, while subsequent pictures were taken around 90 & 110 minutes later. Utilizing the geometrical transferring matrix technique, PVEC of the PET information was done. 2 novel Bdual time-point indices as well as parameterized pictures as well as certain local expected outputs were established.According to the is cortical phase of the topographical arrangement of the amyloid plaques, the main sensor, neurological, & retinal regions of patients who were categorised subjectively as amyloid +Ve displayed a scant tracer pickup. The technique identified trace levels of tracer take - up in the basal parts of the temporal & frontal lobes in sick people who were visibly determined to be amyloid—Ve. These areas are thought to be locations of beginning amyloid plaque accumulation & likely symbolised beginning concentration , which is usual of aging process. In individuals who tested negative for amyloid, the results showed a significant association within age as well as the indices of the novel dual time-point amyloid picturing technique.The approach will standardise information on amyloid concentration, making it a useful instrument for both ordinary clinical practise as well as the research context. In younger people, when therapy would hypothetically be more successful, it might also be utilised to detect beginning amyloid plaque formation.","PeriodicalId":408520,"journal":{"name":"2023 International Conference on Artificial Intelligence and Smart Communication (AISC)","volume":"415 2-3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123428432","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":"Control Strategies for a Static VAR Compensator to Upgrade Voltage Stability and Harmonic Contamination in Grid System","authors":"G. Shrivastava, S. Chandra","doi":"10.1109/AISC56616.2023.10085135","DOIUrl":"https://doi.org/10.1109/AISC56616.2023.10085135","url":null,"abstract":"This paper describes control strategies for SVC to stabilize the voltage profile in a grid system due to the presence of harmonics. Voltage fluctuation occurs on a regular basis as a result of load variation. So to overcome this problem, a test model of SVC is proposed to upgrade the voltage profile in a grid system. In the test model of SVC, three TSCs and one TCR are used to provide or receive reactive power to the grid according to the fluctuation in grid voltage and it also suppresses the harmonics present. In the test model of SVC; there is a group of shunt capacitor banks and inductors with a fast speed of response managed by thyristor switching. The VAR required for compensation at the point of connection of SVC is provided by adjusting the fundamental frequency component of the current drawn by TCR. The SVC supplies or draws Reactive power depending on the equivalent reactance i.e. capacitive or inductive. In this paper, the role of control strategies of SVC is described to upgrade the voltage profile and suppression of harmonics at different instants level by exchanging the VAR.","PeriodicalId":408520,"journal":{"name":"2023 International Conference on Artificial Intelligence and Smart Communication (AISC)","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121934318","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":"Design an Improved Model of Software Defect Prediction Model for Web Applications","authors":"Ashima Arya, S. K. Malik","doi":"10.1109/AISC56616.2023.10085660","DOIUrl":"https://doi.org/10.1109/AISC56616.2023.10085660","url":null,"abstract":"In the software industry, web applications are crucial and are frequently updated to comply with standards or to include new capabilities. However, even while testing ensures quality, the existence of faults obstructs a smooth development. Defects are caused by a number of variables, many of which must be eliminated at great cost. Determining defects at early stage of the software development process is crucial. Therefore, it is highly desirable to develop such a model that can detect defects in a web application. In this study, the researcher surveyed object-oriented metrics and many Software Defect Prediction (SDP) models for web applications. The author has proposed an architecture for an enhanced model of SDP using machine learning techniques. The proposed model will use supervised and unsupervised learning on object oriented metrices to overcome the problem of class imbalance, cost sensitivity and correlation between Attributes and Faults.","PeriodicalId":408520,"journal":{"name":"2023 International Conference on Artificial Intelligence and Smart Communication (AISC)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122132916","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":"Novel Framework for Quality Crop Predictions Using Data Mining and Soft Computing Techniques","authors":"R. K. Maurya, Himani Jain, T. Sharma, Surbhi Sharma, M. Dublish","doi":"10.1109/AISC56616.2023.10085117","DOIUrl":"https://doi.org/10.1109/AISC56616.2023.10085117","url":null,"abstract":"Data mining (DM) and Soft Computing (SC) are a vital computational approach that offers good competence of flexible agricultural data processing systems to solve farmer’s problems. Recently, soft computing has emerged as a powerful technique for solving and analyzing complex real-world problems. This article suggests an approach of smart crop predictions is presented through DM &SC in the field of agricultural quality crop prediction. A five-level framework is proposed namely 1) Collection of data from different repositories, 2) Pre-processing of data, 3) Appropriate Classifier Selection, 4) Prediction and Estimation 5) Draw AUC & ROC curve. Method proposed here focuses on analyzing agricultural yield, soil for crop, rainfall required based on chemical property of soil. Agricultural data analysis and cataloging is one of the best applications of new computing tools such as soft Computing, Machine Learning (ML) approach, became a burning area for the reason that of the massive development of farming data. DM& SC approaches for accomplishing applied research will give effective answers for this type of problem. ML is a working tool to study multiple learners and combine their assessments for accomplishing greater forecasting accurateness. In this investigation, we had recapitulated ML methods which can be applied as an essential tool by the farmer and agriculture scientist for timely prediction of crop production.","PeriodicalId":408520,"journal":{"name":"2023 International Conference on Artificial Intelligence and Smart Communication (AISC)","volume":"183 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116859590","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 Deep Analysis of Dilemma Devices which uses Neural Network","authors":"M. Gauri, Mr. Pooran Singh","doi":"10.1109/AISC56616.2023.10085570","DOIUrl":"https://doi.org/10.1109/AISC56616.2023.10085570","url":null,"abstract":"The majority of people in just this digital age strive to get the appropriate information from the internet, thus creates a demand for thought systems which can comprehend the participant's voice recognition inquiry and provide a prompt, accurate response. The problem process, or QA Framework, that provides responses for various question kinds and on a subject basis, is reviewed in this study utilising a variety of methodologies. The report also describes the deficiencies in the current knowledge that have been found.","PeriodicalId":408520,"journal":{"name":"2023 International Conference on Artificial Intelligence and Smart Communication (AISC)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124037911","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":"Crime Analysis and Forecasting using Twitter Data in the Indian Context","authors":"M. Vivek, B. Prathap","doi":"10.1109/AISC56616.2023.10085282","DOIUrl":"https://doi.org/10.1109/AISC56616.2023.10085282","url":null,"abstract":"Since the late 1990s, social media has added more features and users. Due to the rise of social media, blogs and posts by common people are now a part of mainstream journalism. Twitter is a place where people can share their ideas about culture, society, the economy, and politics. India's large population and rising crime rate make it hard for law enforcement to find and stop illegal activities. This article shows the use of Twitter data to analyse, forecast, and visualise criminal activity using statistical and machine learning models and geospatial visualisation techniques. This helps law enforcement agencies make the best use of their limited resources and put them in the right places. The research aims to present a spatial and temporal picture of crime in India and is split into three parts: Classification, Visualisation, and Forecasting. Crime tweets are identified using a hashtag query argument in the tweepy python package's search_tweets function, followed by substring-keyword classification. The visualisation uses gmaps and bokeh python packages for geospatial and matplotlib for analytical applications. The forecasting portion compares AR, ARIMA, and LSTM to determine the best model for time series forecasting of crime tweet count.","PeriodicalId":408520,"journal":{"name":"2023 International Conference on Artificial Intelligence and Smart Communication (AISC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128755448","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":"Improving quantitative stock trading prediction based on MAD using Q-learning technology","authors":"Pengcheng Zhao, Siyuan Yin, B. V. D. Kumar, Teh Jia Yew","doi":"10.1109/AISC56616.2023.10085634","DOIUrl":"https://doi.org/10.1109/AISC56616.2023.10085634","url":null,"abstract":"Stocks are a proof of shares in a corporate enterprise and represent the ownership of the stockholder in the joint stock company. Stock trading is a dynamic and complicated project, stock history data is a non-linear and highly noisy time series. Considering the risky nature of stock trading, it is essential to provide an optimal prediction method to ensure stock trading security. The accuracy of traditional stock trading prediction is insufficient, so this study attempts to use reinforcement learning models for stock trading change prediction under big data. This paper proposes the median absolute deviation method (MAD) and Q-learning model to build a more effective prediction model. The simulation results based on NASDAQ Composite (^IXIC) data show that the new method can better help predict stocks. The method has some limitations and currently uses a combination of traditional econometric models and reinforcement learning models, which have some efficiency issues. However, the research in this paper provides a good extension to the theoretical aspects of stock prediction analysis and can provide investors with new research methods and perspectives.","PeriodicalId":408520,"journal":{"name":"2023 International Conference on Artificial Intelligence and Smart Communication (AISC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128496903","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":"eMBB, URLLC, and mMTC 5G Wireless Network Slicing: A Communication-Theoretic View","authors":"Warish D. Patel, Padmaja Tripathy","doi":"10.1109/AISC56616.2023.10085623","DOIUrl":"https://doi.org/10.1109/AISC56616.2023.10085623","url":null,"abstract":"Enhanced mobile broadband (eMBB), massive machine-type communications (mMTCs), & highly- reliable reduced delay connectivity are three general capabilities that 5G cellular network is designed to offer (URLLCs). Network slicing can support service diversity by allocating resources to each service in order to guarantee efficiency and isolate it from other services. In order to slice the radio access network (RAN), resources are often distributed orthogonally across the services. In this study, the possible benefits of non-orthogonal RAN sharing resources in uplink communication from a collection of eMBB, mMTC, & URLLC devices to a shared ground station are examined. Contrary to traditional NOMA approaches, which include users with homogenous requirements and can thus be studied over a normal multi-access channel, the method is known as heterogeneity nonorthogonal multi-access (H-NOMA). The paper creates a communication theoretic model to take into consideration the disparate needs and traits of the 3 services. In order to ensure efficiency with non-orthogonal RAN slicing, the notion of dependability heterogeneity is proposed being a model paradigm which takes use of the various dependability needs throughout the applications. According to this research, H- NOMA can, in some regimes, result in substantial improvements in efficiency tradeoffs between the three basic functions as opposed to orthogonal slicing.","PeriodicalId":408520,"journal":{"name":"2023 International Conference on Artificial Intelligence and Smart Communication (AISC)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128608243","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":"Design & Development of IOT based Vertical Farming Monitoring System","authors":"Krishanu Kundu, Soubhagya Sharma, Bharat Bhardwaj, Raveendra Muddineni, Amrita Rai","doi":"10.1109/AISC56616.2023.10085566","DOIUrl":"https://doi.org/10.1109/AISC56616.2023.10085566","url":null,"abstract":"The practice of vertical farming has gained popularity in peak development nations. Vertical farming is challenging to implement, though, because even little modifications to the environment can have a significant impact on the effectiveness and caliber of farming operations. As a result, the purpose of this paper is to offer a monitoring system for vertical farming that will assist in keeping track of the physical conditions of crops. The microcontroller will receive the data from the many sensors utilized in this system as either analogue input or digital input. After that, microcontroller will analyze the data and upload it to the Cloud. Additionally, the system will keep track of the location of the active equipment, making maintenance easier in the event that something breaks down. It is anticipated that the culture of vertical farming would develop, leading to a considerable rise in crop output and quality.","PeriodicalId":408520,"journal":{"name":"2023 International Conference on Artificial Intelligence and Smart Communication (AISC)","volume":"07 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127236200","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}