2022 19th International Joint Conference on Computer Science and Software Engineering (JCSSE)最新文献_第4页

Regularization Strategy for Multi-organ Nucleus Segmentation with Localizable Features 具有可定位特征的多器官核分割正则化策略

2022 19th International Joint Conference on Computer Science and Software Engineering (JCSSE) Pub Date : 2022-06-22 DOI: 10.1109/jcsse54890.2022.9836241

Attasuntorn Traisuwan, S. Limsiroratana, P. Phukpattaranont, Pichaya Tandayya

引用次数: 0

The Development of Intelligent Models for Stress Detection towards Real-world Applications 面向实际应用的应力检测智能模型的发展

2022 19th International Joint Conference on Computer Science and Software Engineering (JCSSE) Pub Date : 2022-06-22 DOI: 10.1109/jcsse54890.2022.9836256

A. Hemakom, Danita Atiwiwat, Jongsook Sanguantrakul, P. Israsena

引用次数: 1

Scalable Distributed Broker System for Very Large MQTT Networks 超大MQTT网络的可扩展分布式代理系统

2022 19th International Joint Conference on Computer Science and Software Engineering (JCSSE) Pub Date : 2022-06-22 DOI: 10.1109/jcsse54890.2022.9836246

Chananya Ruenpitak, A. Phonphoem, Aphirak Jansang, Withawat Tangtrongpairoj, C. Jaikaeo

{"title":"Scalable Distributed Broker System for Very Large MQTT Networks","authors":"Chananya Ruenpitak, A. Phonphoem, Aphirak Jansang, Withawat Tangtrongpairoj, C. Jaikaeo","doi":"10.1109/jcsse54890.2022.9836246","DOIUrl":"https://doi.org/10.1109/jcsse54890.2022.9836246","url":null,"abstract":"MQTT is a publish/subscribe protocol whose usage is growing a lot in recent years, especially in the field of Internet of Things (IoT) and Wireless Sensor Networks (WSN). The protocol is based on a central broker entity, which limits the number of publishers and subscribers and is considered a single point of failure. When numerous clients connect and subscriptions change frequently, the load and physical resource on the broker increases significantly. In this work, we propose a distributed broker system for MQTT, where multiple brokers are interconnected in a scalable fashion. The brokers collaboratively maintain two separate domains for exactmatch and wildcard subscriptions. We apply the Chord distributed hash table algorithm and the trie tree (radix tree) data structure in the exact-match and the wildcard domains, respectively, to maintain routing complexity and routing table size. The preliminary simulation results show that with relatively large number of brokers and subscribed topics, our proposed approach is more efficient in terms of forwarding overhead and routing table size compared with the standard broker bridging approach.","PeriodicalId":284735,"journal":{"name":"2022 19th International Joint Conference on Computer Science and Software Engineering (JCSSE)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123710787","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 Signs of Depression from Twitter Messages 从推特信息中预测抑郁迹象

2022 19th International Joint Conference on Computer Science and Software Engineering (JCSSE) Pub Date : 2022-06-22 DOI: 10.1109/jcsse54890.2022.9836287

Suwaroj Mahasiriakalayot, T. Senivongse, Nattasuda Taephant

{"title":"Predicting Signs of Depression from Twitter Messages","authors":"Suwaroj Mahasiriakalayot, T. Senivongse, Nattasuda Taephant","doi":"10.1109/jcsse54890.2022.9836287","DOIUrl":"https://doi.org/10.1109/jcsse54890.2022.9836287","url":null,"abstract":"Depression is a mental health problem that is experienced by many people around the world. Often, people with depression express their feelings via their posts on different social media platforms. If depression trace can be detected from their messages, it will help to understand their emotional states and to provide appropriate assistance. This paper proposes an application of natural language processing to this very important issue by predicting major signs of depression from Twitter messages in Thai. These major signs include Suicidal Ideation, Anhedonic, Sleep Problems, and Guilty Feelings. Different machine learning algorithms, i.e. Long Short-Term Memory (LSTM), Gated Recurrent Units (GRU), and Support Vector Machine (SVM) are used to build prediction models. A web application prototype is developed to predict signs of depression from a user's tweets during the past month to trace whether the user has shown any signs of depression as well as the degree or intensity of each sign in five scales. Such information can assist a mental health professional's client, who is experiencing depression, to realize one's own negative thoughts, and can be useful input to the treatment.","PeriodicalId":284735,"journal":{"name":"2022 19th International Joint Conference on Computer Science and Software Engineering (JCSSE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129099026","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

Hate Speech Detection in Thai Social Media with Ordinal-Imbalanced Text Classification 基于顺序不平衡文本分类的泰国社交媒体仇恨语音检测

2022 19th International Joint Conference on Computer Science and Software Engineering (JCSSE) Pub Date : 2022-06-22 DOI: 10.1109/jcsse54890.2022.9836312

Kitsuchart Pasupa, Werasut Karnbanjob, Massakorn Aksornsiri

{"title":"Hate Speech Detection in Thai Social Media with Ordinal-Imbalanced Text Classification","authors":"Kitsuchart Pasupa, Werasut Karnbanjob, Massakorn Aksornsiri","doi":"10.1109/jcsse54890.2022.9836312","DOIUrl":"https://doi.org/10.1109/jcsse54890.2022.9836312","url":null,"abstract":"Cyberbullying has become a serious problem in Thai social media. For example, some Thai people posted hate speeches on Myanmar workers in Thailand during the COVID-19 pandemic, which might elevate hate crime. It is imperative and urgent to detect cyberbullying on Thai social media. The task is a text classification problem. Moreover, hate speeches contain the order of severity levels, but many pieces of work did not consider this point in the model. Therefore, we developed a Thai hate-speech classification method with various loss functions to detect such hate speeches accurately. We evaluated them on a corpus of ordinal-imbalanced Thai text. The evaluated outcomes indicated that the best-in terms of $F$1 -score-model was the model with a loss function of a hybrid between an Ordinal regression loss function and Pearson correlation coefficients (common in similarity function). It yielded an average F1-score of 78.38 %-0.88 % significantly higher than the score achieved by a conventional loss function-and an average mean squared error of 0.2478-5.49 % relative improvement. Thus, the proposed hybrid loss function improved the efficiency of the model.","PeriodicalId":284735,"journal":{"name":"2022 19th International Joint Conference on Computer Science and Software Engineering (JCSSE)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129063302","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

An Approximation Algorithm for the Vertex Multicut on Trees with an Application to the Tracking Paths Problem 树上顶点多切的近似算法及其在跟踪路径问题中的应用

2022 19th International Joint Conference on Computer Science and Software Engineering (JCSSE) Pub Date : 2022-06-22 DOI: 10.1109/jcsse54890.2022.9836254

Kunanon Burathep, Jittat Fakcharoenphol

引用次数: 0

HUMAN DETECTION AND SOCIAL DISTANCING MEASUREMENT IN A VIDEO 视频中的人体检测和社交距离测量

2022 19th International Joint Conference on Computer Science and Software Engineering (JCSSE) Pub Date : 2022-06-22 DOI: 10.1109/jcsse54890.2022.9836295

Kosin Saramas, J. Kraisangka, A. Supratak, Thanapon Noraset, Boonsit Yimwadsana, Worapan Kusakunniran

{"title":"HUMAN DETECTION AND SOCIAL DISTANCING MEASUREMENT IN A VIDEO","authors":"Kosin Saramas, J. Kraisangka, A. Supratak, Thanapon Noraset, Boonsit Yimwadsana, Worapan Kusakunniran","doi":"10.1109/jcsse54890.2022.9836295","DOIUrl":"https://doi.org/10.1109/jcsse54890.2022.9836295","url":null,"abstract":"The purpose of this research project is to find the best solution for measuring the distance between people in a video to track the possible COVID-19 social-distancing. This research aims to create a web-application that can be used with closed-circuit televisions (CCTVs) to track positions of persons in interested area and measure distances between any pairs of persons each frame of a video. The process in this project is separated into 3 parts, including 1) tracking positions of people in a video, 2. calibrating camera views, and 3. measuring distances between any two persons. The tracking technique is based on YOLO algorithm, a famous object detection algorithm, that identifies specific objects in the video. In this project, YOLOv3 is used to detect humans to create the bounding box for getting the position in the frame. After getting the bounding box, finding the distance between any pairs in the video is done by using perspective transformation from camera-view into top-down view. Then, the Euclidean distance is used to find the distance of every pair in the video. Any distances closer than 2-meter will be indicated with a line between two people and printed the distance next to the line. The result of perspective transformation is compared with the checkerboard's camera calibration to compare the error rate in several case scenarios.","PeriodicalId":284735,"journal":{"name":"2022 19th International Joint Conference on Computer Science and Software Engineering (JCSSE)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131622004","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

Thai Variable-Length Question Classification for E-Commerce Platform Using Machine Learning with Topic Modeling Feature 基于主题建模特征的机器学习的电子商务平台泰语变长问题分类

2022 19th International Joint Conference on Computer Science and Software Engineering (JCSSE) Pub Date : 2022-06-22 DOI: 10.1109/jcsse54890.2022.9836274

Wasu Chunhasomboon, Suphakant Phimoltares

引用次数: 0

Multivariate time series analysis on variables that influence pandemic expansion 影响大流行蔓延的变量的多变量时间序列分析

2022 19th International Joint Conference on Computer Science and Software Engineering (JCSSE) Pub Date : 2022-06-22 DOI: 10.1109/jcsse54890.2022.9836253

Tipajin Thaipisutikul, Chih-Yang Lin, Sheng-Chih Chen

{"title":"Multivariate time series analysis on variables that influence pandemic expansion","authors":"Tipajin Thaipisutikul, Chih-Yang Lin, Sheng-Chih Chen","doi":"10.1109/jcsse54890.2022.9836253","DOIUrl":"https://doi.org/10.1109/jcsse54890.2022.9836253","url":null,"abstract":"The ongoing COVID-19 pandemic has wreaked havoc on social and economic systems worldwide. The variance in the rapidly increasing number of illnesses and deaths in each country is primarily due to national policies and actions. As a result, governments and institutions need to get insights into the critical factors influencing COVID-19 future case counts to properly manage the adverse effects of pandemics and promptly prepare appropriate measures. Thus, in this paper, we conduct extensive experiments on the real-world covid-19 datasets to examine the important factors influencing in the pandemic growth. In particular, we perform an exploratory data analysis to get the statistic and characteristics of multivariate time-series data on pandemic dynamic. Also, we utilize a statistical measure such as Pearson correlation to compute the relations of the past on the future daily new cases. The experimental results demonstrate that some restrictions have a positive effect on daily new confirmed cases at the early stage of the local pandemic transmission. Also, the results show that the early trend of COVID-19 can be explained well by human mobility in various categories. Thus, our proposed framework can be served as a guideline for future pandemic prevention and control decision-making.","PeriodicalId":284735,"journal":{"name":"2022 19th International Joint Conference on Computer Science and Software Engineering (JCSSE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129529738","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

Transforming YAWL Workflows with Time Interval Constraints into Timed Automata 带时间间隔约束的YAWL工作流转化为时间自动机

2022 19th International Joint Conference on Computer Science and Software Engineering (JCSSE) Pub Date : 2022-06-22 DOI: 10.1109/jcsse54890.2022.9836308

Naronggorn Wongsitthiphaithun, W. Vatanawood

引用次数: 0