Journal of Information Systems and Telecommunication (JIST)最新文献_第7页

An Automatic Thresholding Approach to Gravitation-Based Edge Detection in Grey-Scale Images 灰度图像重力边缘检测的自动阈值分割方法

Journal of Information Systems and Telecommunication (JIST) Pub Date : 2021-10-27 DOI: 10.52547/jist.9.36.285

H. Agahi, Kimia Rezaei

{"title":"An Automatic Thresholding Approach to Gravitation-Based\u0000 Edge Detection in Grey-Scale Images","authors":"H. Agahi, Kimia Rezaei","doi":"10.52547/jist.9.36.285","DOIUrl":"https://doi.org/10.52547/jist.9.36.285","url":null,"abstract":"This paper presents an optimal auto-thresholding approach for the gravitational edge detection method in grey-scale images. The goal of this approach is to enhance the performance measures of the edge detector in clean and noisy conditions. To this aim, an optimal threshold is automatically found, according to which the proposed method dichotomizes the pixels to the edges and non-edges. First, some pre-processing operations are applied to the image. Then, the vector sum of the gravitational forces applied to each pixel by its neighbors is computed according to the universal law of gravitation. Afterwards, the force magnitude is mapped to a new characteristic called the force feature. Following this, the histogram representation of this feature is determined, for which an optimal threshold is aimed to be discovered. Three thresholding techniques are proposed, two of which contain iterative processes. The parameters of the formulation used in these techniques are adjusted by means of the metaheuristic grasshopper optimization algorithm. To evaluate the proposed system, two standard databases were used and multiple qualitative and quantitative measures were utilized. The results confirmed that the methodology of our work outperformed some conventional and recent detectors, achieving the average precision of 0.894 on the BSDS500 dataset. Moreover, the outputs had high similarity to the ideal edge maps.","PeriodicalId":123563,"journal":{"name":"Journal of Information Systems and Telecommunication (JIST)","volume":"101 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131458557","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}

引用次数: 1

Word Sense Induction in Persian and English: A Comparative Study 波斯语和英语词义归纳的比较研究

Journal of Information Systems and Telecommunication (JIST) Pub Date : 2021-10-27 DOI: 10.52547/jist.9.36.263

Masood Ghayoomi

{"title":"Word Sense Induction in Persian and English: A Comparative\u0000 Study","authors":"Masood Ghayoomi","doi":"10.52547/jist.9.36.263","DOIUrl":"https://doi.org/10.52547/jist.9.36.263","url":null,"abstract":"Words in the natural language have forms and meanings, and there might not always be a one-to-one match between them. This property of the language causes words to have more than one meaning; as a result, a text processing system faces challenges to determine the precise meaning of the target word in a sentence. Using lexical resources or lexical databases, such as WordNet, might be a help, but due to their manual development, they become outdated by passage of time and language change. Moreover, the lexical resources might be domain dependent which are unusable for open domain natural language processing tasks. These drawbacks are a strong motivation to use unsupervised machine learning approaches to induce word senses from the natural data. To reach the goal, the clustering approach can be utilized such that each cluster resembles a sense. In this paper, we study the performance of a word sense induction model by using three variables: a) the target language: in our experiments, we run the induction process on Persian and English; b) the type of the clustering algorithm: both parametric clustering algorithms, including hierarchical and partitioning, and non-parametric clustering algorithms, including probabilistic and density-based, are utilized to induce senses; c) the context of the target words to capture the information in vectors created for clustering: for the input of the clustering algorithms, the vectors are created either based on the whole sentence in which the target word is located; or based on the limited surrounding words of the target word. We evaluate the clustering performance externally. Moreover, we introduce a normalized, joint evaluation metric to compare the models. The experimental results for both Persian and English test data showed that the window-based partitioningK-means algorithm obtained the best performance.","PeriodicalId":123563,"journal":{"name":"Journal of Information Systems and Telecommunication (JIST)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126607759","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}

引用次数: 0

Predicting Student Performance for Early Intervention using Classification Algorithms in Machine Learning 使用机器学习中的分类算法预测学生早期干预的表现

Journal of Information Systems and Telecommunication (JIST) Pub Date : 2021-10-27 DOI: 10.52547/jist.9.36.226

K. K., Ulagapriya K, S. A, Ashutosh Kumar

{"title":"Predicting Student Performance for Early Intervention\u0000 using Classification Algorithms in Machine\u0000 Learning","authors":"K. K., Ulagapriya K, S. A, Ashutosh Kumar","doi":"10.52547/jist.9.36.226","DOIUrl":"https://doi.org/10.52547/jist.9.36.226","url":null,"abstract":"Predicting Student’s Performance System is to find students who may require early intervention before they fail to graduate. It is generally meant for the teaching faculty members to analyze Student's Performance and Results. It stores Student Details in a database and uses Machine Learning Model using i. Python Data Analysis tools like Pandas and ii. Data Visualization tools like Seaborn to analyze the overall Performance of the Class. The proposed system suggests student performance prediction through Machine Learning Algorithms and Data Mining Techniques. The Data Mining technique used here is classification, which classifies the students based on student’s attributes. The Front end of the application is made using React JS Library with Data Visualization Charts and connected to a backend Database where all student’s records are stored in MongoDB and the Machine Learning model is trained and deployed through Flask. In this process, the machine learning algorithm is trained using a dataset to create a model and predict the output on the basis of that model. Three different types of data used in Machine Learning are continuous, categorical and binary. In this study, a brief description and comparative analysis of various classification techniques is done using student performance dataset. The six different machine learning Classification algorithms, which have been compared, are Logistic Regression, Decision Tree, K-Nearest Neighbor, Naïve Bayes, Support Vector Machine and Random Forest. The results of Naïve Bayes classifier are comparatively higher than other techniques in terms of metrics such as precision, recall and F1 score. The values of precision, recall and F1 score are 0.93, 0.92 and 0.92 respectively.","PeriodicalId":123563,"journal":{"name":"Journal of Information Systems and Telecommunication (JIST)","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132547224","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}

引用次数: 0

Evaluating the Cultural Anthropology of Artefacts of Computer Mediated Communication: A Case of Law Enforcement Agencies 评估计算机媒介传播的文化人类学:以执法机构为例

Journal of Information Systems and Telecommunication (JIST) Pub Date : 2021-10-27 DOI: 10.52547/jist.9.36.236

C. Nwokoye, N. Mbeledogu, Chikwe Umeugoji

{"title":"Evaluating the Cultural Anthropology of Artefacts of\u0000 Computer Mediated Communication: A Case of Law Enforcement\u0000 Agencies","authors":"C. Nwokoye, N. Mbeledogu, Chikwe Umeugoji","doi":"10.52547/jist.9.36.236","DOIUrl":"https://doi.org/10.52547/jist.9.36.236","url":null,"abstract":"The renowned orientations of cultural models proposed by Hall and Hofstede has been the subject of criticisms. This is due to the weak, inflexible and old-fashioned nature of some designs resulting from them. In addition, is the ever-changing, formless and undefined nature of culture and globalization. Consequently, these vituperations have resulted in better clarifications when assessing the cultural anthropology of websites. Based on these later clarifications and other additions, we seek to evaluate the cultural heuristics of websites owned by agencies of the Nigerian government. Note that this is verily necessary because older models did not include Africa in their analyses. Specifically, we employed the online survey method by distributing questionnaires to different groups of experts drawn from the various regions of Nigeria. The experts employed methods such as manual inspection and use of automated tools to reach conclusions. Afterwards, the results were assembled and using the choice of a simple majority, we decided whether a design parameter is either high or low context. Findings show that websites developers tend to favor low context styles when choosing design parameters. The paper attempts to situate Africa in Hall’s continuum; therein, Nigeria (Africa) may fall within French Canadian and Scandinavian and/or within Latin and Scandinavian for the left hand and right hand side diagram respectively. In future, we would study the cultural anthropology of African websites employing the design parameters proposed by Alexander, et al.","PeriodicalId":123563,"journal":{"name":"Journal of Information Systems and Telecommunication (JIST)","volume":"95 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126263905","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}

引用次数: 0

Proposing Real-time Parking System for Smart Cities using Two Cameras 采用双摄像头的智慧城市实时停车系统

Journal of Information Systems and Telecommunication (JIST) Pub Date : 2021-10-27 DOI: 10.52547/jist.9.36.252

Phat Nguyen Huu, Loc Hoang Bao

{"title":"Proposing Real-time Parking System for Smart Cities using\u0000 Two Cameras","authors":"Phat Nguyen Huu, Loc Hoang Bao","doi":"10.52547/jist.9.36.252","DOIUrl":"https://doi.org/10.52547/jist.9.36.252","url":null,"abstract":"Today, cars are becoming a popular means of life. This rapid development has resulted in an increasing demand for private parking. Therefore, finding a parking space in urban areas is extremely difficult for drivers. Another serious problem is that parking on the roadway has serious consequences like traffic congestion. As a result, various solutions are proposed to solve basic functions such as detecting a space or determining the position of the parking to orient the driver. In this paper, we propose a system that not only detects the space but also identifies the vehicle's identity based on their respective license plate. Our proposal system includes two cameras with two independent functions, Skyeye and LPR cameras, respectively. Skyeye module has function to detect and track vehicles while automatic license plate recognition system (ALPR) module detects and identifies license plates. Therefore, the system not only helps drivers to find suitable parking space but also manages and controls vehicles effectively for street parking. Besides, it is possible to detect offending vehicles parking on the roadway based on its identity. We also collect a set of data that correctly distributes for the context in order to increase the system's performance. The accuracy of proposal system is 99.48% that shows the feasibility of applying into real environments.","PeriodicalId":123563,"journal":{"name":"Journal of Information Systems and Telecommunication (JIST)","volume":"11 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116791028","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}

引用次数: 0

IT Capability Evaluation through the IT Capability Map 通过IT能力图进行IT能力评估

Journal of Information Systems and Telecommunication (JIST) Pub Date : 2021-01-18 DOI: 10.29252/JIST.8.32.207

M. Ranjbarfard, Seyedeh Reyhaneh Mirsalari

{"title":"IT Capability Evaluation through the IT Capability Map","authors":"M. Ranjbarfard, Seyedeh Reyhaneh Mirsalari","doi":"10.29252/JIST.8.32.207","DOIUrl":"https://doi.org/10.29252/JIST.8.32.207","url":null,"abstract":"Organizations are increasingly in search of ways to derive more business values from IT investments and the need for IT capabilities (ITC) is surging. ITC is critical significant to build enterprise agility and promote organizational performance. However, IT capability is always treated as the causal factor already existing and there are few studies on how IT capability is created and evaluated. Appropriate evaluation is necessary for an organization to measure, manage and improve enterprise ITC. This research aims to identify and map the dimensions of an organization's ITC. Using a mixed research method, this paper comprises two sections. The qualitative section adopts a systematic literature review (SLR) approach to identify the dimensions of ITC. The quantitative section employs factor analysis to validate identified ITC dimensions and their indicators in an attempt to develop a more precise model for ITC evaluation. The proposed ITC model includes IT management, IT human resources, IT infrastructure, and implementation of IT solutions dimensions as well as the 25 related indicators. Drawing on the results of this paper, organizations can engage in evaluation and improve/create essential ITCs based on the evaluation results.","PeriodicalId":123563,"journal":{"name":"Journal of Information Systems and Telecommunication (JIST)","volume":"125 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123721227","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}

引用次数: 2

Evaluation of Pattern Recognition Techniques in Response to Cardiac Resynchronization Therapy (CRT) 模式识别技术在心脏再同步化治疗(CRT)中的应用评价

Journal of Information Systems and Telecommunication (JIST) Pub Date : 2020-11-14 DOI: 10.29252/jist.8.31.1197

M. Nejadeh, P. Bayat, J. Kheirkhah, H. Moladoust

引用次数: 0