Journal of Computer Science and Cybernetics最新文献_第5页

AN IMPROVEMENT OF TRUSTED SAFE SEMI-SUPERVISED FUZZY CLUSTERING METHOD WITH MULTIPLE FUZZIFIERS 多模糊化的可信安全半监督模糊聚类方法的改进

Journal of Computer Science and Cybernetics Pub Date : 2022-03-20 DOI: 10.15625/1813-9663/38/1/16720

Tran Manh Tuan, Phung The Huan, Pham Huy Thong, T. Ngan, Le Hoang Son

{"title":"AN IMPROVEMENT OF TRUSTED SAFE SEMI-SUPERVISED FUZZY CLUSTERING METHOD WITH MULTIPLE FUZZIFIERS","authors":"Tran Manh Tuan, Phung The Huan, Pham Huy Thong, T. Ngan, Le Hoang Son","doi":"10.15625/1813-9663/38/1/16720","DOIUrl":"https://doi.org/10.15625/1813-9663/38/1/16720","url":null,"abstract":"Data clustering are applied in various fields such as document classification, dental X-ray image segmentation, medical image segmentation, etc. Especially, clustering algorithms are used in satellite image processing in many important application areas, including classification of vehicles participating in traffic, logistics, classification of satellite images to forecast droughts, floods, forest fire, etc. In the process of collecting satellite image data, there are a number of factors such as clouds, weather, ... that can affect to image quality. Images with low quality will make the performance of clustering algorithms decrease. Apart from that, the parameter of fuzzification in clustering algorithms also affects to clustering results. In the past, clustering methods often used the same fuzzification parameter, m = 2. But in practice, each element should have its own parameter m. Therefore, determining the parameters m is necessary to increase fuzzy clustering performance. In this research, an improvement algorithm for the data partition with confidence problem and multi fuzzifier named as TS3MFCM is introduced. The proposed method consists of three steps namely as “FCM for labeled data”, “Data transformation”, and “Semi-supervised fuzzy clustering with multiple point fuzzifiers”. The proposed TS3MFCM method is implemented and experimentally compared against with the Confidence-weighted Safe Semi-Supervised Clustering (CS3FCM). The performance of proposed method is better than selected methods in both computational time and clustering accuracy on the same datasets","PeriodicalId":15444,"journal":{"name":"Journal of Computer Science and Cybernetics","volume":"6 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88789082","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

A FAST OVERLAPPING COMMUNITY DETECTION ALGORITHM BASED ON LABEL PROPAGATION AND SOCIAL NETWORK GRAPH CLUSTERING COEFFICIENT 一种基于标签传播和社交网络图聚类系数的快速重叠社区检测算法

Journal of Computer Science and Cybernetics Pub Date : 2022-03-20 DOI: 10.15625/1813-9663/38/1/16537

Nguyen Hien Trinh, Doan Van Ban, Vu Vinh Quang, Cáp Thanh Tùng

{"title":"A FAST OVERLAPPING COMMUNITY DETECTION ALGORITHM BASED ON LABEL PROPAGATION AND SOCIAL NETWORK GRAPH CLUSTERING COEFFICIENT","authors":"Nguyen Hien Trinh, Doan Van Ban, Vu Vinh Quang, Cáp Thanh Tùng","doi":"10.15625/1813-9663/38/1/16537","DOIUrl":"https://doi.org/10.15625/1813-9663/38/1/16537","url":null,"abstract":"Detecting community structure on social network has been an important and interesting issue on which many researchers have paid much attention and developed applications. Many graph clustering algorithms have been applied to find disjoint communities, i.e each node belongs to a single community. However, for social network in particular, public communication network in general, most of communities are not completely detached but they may be embedding, overlapping or crossing, that means certain nodes can belong to more than one community. Overlapping node plays a role of interface between communities and it is really interesting to study the community establishment of these nodes because it reflects dynamic behaviuor of participants.This article introduces the algorithm to find overlapping communities on huge social network. The proposed COPACN algorithm has been developed on the basis of label propagation, using advanced clustering coefficient to find overlapping communities on social network. Exprermental results on a set of popular, standard social networks and certain real network have shown the high speed and high effiency in finding overlapping structures.","PeriodicalId":15444,"journal":{"name":"Journal of Computer Science and Cybernetics","volume":"41 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73442782","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

AN EFFECTIVE DEEP LEARNING MODEL FOR RECOGNITION OF ANIMALS AND PLANTS 一种有效的动植物识别深度学习模型

Journal of Computer Science and Cybernetics Pub Date : 2022-03-20 DOI: 10.15625/1813-9663/38/1/16309

Trinh Thi Loan, P. T. Anh, Le Viet Nam, Hoang Van Dung

引用次数: 0

A UNIFIED FRAMEWORK FOR WATER SURFACE EXTRACTION AND CHANGE PREDICTION IN IMAGERY DATA STREAMS 图像数据流中水面提取与变化预测的统一框架

Journal of Computer Science and Cybernetics Pub Date : 2022-03-20 DOI: 10.15625/1813-9663/38/1/16092

Tam Thanh Nguyen, Toan Thanh Nguyen, C. T. Phan, Quoc Viet Hung Nguyen

{"title":"A UNIFIED FRAMEWORK FOR WATER SURFACE EXTRACTION AND CHANGE PREDICTION IN IMAGERY DATA STREAMS","authors":"Tam Thanh Nguyen, Toan Thanh Nguyen, C. T. Phan, Quoc Viet Hung Nguyen","doi":"10.15625/1813-9663/38/1/16092","DOIUrl":"https://doi.org/10.15625/1813-9663/38/1/16092","url":null,"abstract":"Changes in surface water might result in natural disasters such as floods, water shortages, landslides, waterborne diseases, which lead to loss of lives. Timely extracting for surface water and predicting its movement is essential for planning activities and decision-making processes. Most existing works on extracting water surface using satellite images focus on static spectral images and ignore the temporal evolution of data in streams, leading to less accuracy and lack of prediction power. Although some works realize that modeling temporal information of satellite signals could boost the forecasting capability on environmental changes, most of them only focus on prediction tasks independently and separately from the extraction task. In this paper, we propose a unified framework for water extraction and change prediction (WECP) built on top of imagery data streams, which are free to access from orbiting satellites, to locate water surface and predict its changes over time. Our framework is evaluated on Landsat 8 data due to its high spatial resolution. Empirical evaluations on real imagery datasets of different landscapes reveal that our framework is robust in extracting and capturing spatio-temporal changes in the water surface.","PeriodicalId":15444,"journal":{"name":"Journal of Computer Science and Cybernetics","volume":"22 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75048788","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

AUTOMATIC IDENTIFICATION OF SOME VIETNAMESE FOLK SONGS CHEO AND QUANHO USING CONVOLUTIONAL NEURAL NETWORKS 基于卷积神经网络的越南民歌“跳”和“全吼”的自动识别

Journal of Computer Science and Cybernetics Pub Date : 2022-03-20 DOI: 10.15625/1813-9663/38/1/15961

Chu Ba Thanh, Trinh Van Loan, Dao Thi Dieu Thuy

引用次数: 2

THE TRAVELING SALESMAN PROBLEM WITH MULTI-VISIT DRONE 多次访问无人机的旅行推销员问题

Journal of Computer Science and Cybernetics Pub Date : 2021-10-12 DOI: 10.15625/1813-9663/37/4/16180

Quang Minh Ha, Duy Manh Vu, Xuan Thanh Le, M. Hoang

引用次数: 3

SENTIMENT ANALYSIS FOR SOCIAL MEDIA: A SURVEY 社交媒体的情感分析:一项调查

Journal of Computer Science and Cybernetics Pub Date : 2021-10-12 DOI: 10.15625/1813-9663/37/4/15892

H. Phan, N. Nguyen, D. Hwang

引用次数: 0

INFORMATION AND MATHEMATICAL STRUCTURES CONTAINED IN THE NATURAL LANGUAGE WORD DOMAINS AND THEIR APPLICATIONS 包含在自然语言词域中的信息和数学结构及其应用

Journal of Computer Science and Cybernetics Pub Date : 2021-09-26 DOI: 10.15625/1813-9663/37/3/16106

N. C. Ho

{"title":"INFORMATION AND MATHEMATICAL STRUCTURES CONTAINED IN THE NATURAL LANGUAGE WORD DOMAINS AND THEIR APPLICATIONS","authors":"N. C. Ho","doi":"10.15625/1813-9663/37/3/16106","DOIUrl":"https://doi.org/10.15625/1813-9663/37/3/16106","url":null,"abstract":"The study stands on the standpoint that there exist relationships between real-world structures and their provided information in reality. Such relationships are essential because the natural language plays a specifically vital and crucial role in, e.g., capturing, conveying information, and accumulating knowledge containing useful high-level information. Consequently, it must contain certain semantics structures, including linguistic (L-) variables’ semantic structures, which are fundamental, similar to the math variables’ structures. In this context, the fact that the (L-) variables’ word domains can be formalized as algebraic semantics-based structures in an axiomatic manner, called hedge algebras (HAs,) is still a novel event and essential for developing computational methods to simulate the human capabilities in problem-solving based on the so-called natural language-based formalism. Hedge algebras were founded in 1990. Since then, HA-formalism has been significantly developed and applied to solve several application problems in many distinct fields, such as fuzzy control, data classification and regression, robotics, L-time series forecasting, and L-data summarization. The study gives a survey to summarize specific distinguishing fundamental features of HA-formalism, its applicability in problem-solving, and its performance. ","PeriodicalId":15444,"journal":{"name":"Journal of Computer Science and Cybernetics","volume":"4 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85646114","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

DEVELOPING REAL-TIME FACE MASK DETECTION WITH FACIAL TEMPERATURE MEASURE FOR COVID-19 INDOOR MONITORING SYSTEM 研制基于面部温度测量的新型冠状病毒室内实时口罩检测系统

Journal of Computer Science and Cybernetics Pub Date : 2021-09-26 DOI: 10.15625/1813-9663/37/3/15962

A. Aharari, J. Abe, K. Nakamatsu

引用次数: 0

A HYBRID MODEL USING THE PRETRAINED BERT AND DEEP NEURAL NETWORKS WITH RICH FEATURE FOR EXTRACTIVE TEXT SUMMARIZATION 一种基于预训练的Bert和深度神经网络的混合模型，具有丰富的特征，用于抽取文本摘要

Journal of Computer Science and Cybernetics Pub Date : 2021-05-31 DOI: 10.15625/1813-9663/37/2/15980

Tuan Minh Luu, H. T. Le, T. Hoang

引用次数: 1