发布求助
文献互助 智能选刊 最新文献

2017 9th International Conference on Knowledge and Smart Technology (KST)最新文献

筛选
英文 中文
Automated cyberbullying detection using clustering appearance patterns 使用聚类外观模式的自动网络欺凌检测
2017 9th International Conference on Knowledge and Smart Technology (KST) Pub Date : 2017-02-01 DOI: 10.1109/KST.2017.7886127
W. Romsaiyud, K. N. Nakornphanom, Pimpaka Prasertsilp, Piyaporn Nurarak, Pirom Konglerd
{"title":"Automated cyberbullying detection using clustering appearance patterns","authors":"W. Romsaiyud, K. N. Nakornphanom, Pimpaka Prasertsilp, Piyaporn Nurarak, Pirom Konglerd","doi":"10.1109/KST.2017.7886127","DOIUrl":"https://doi.org/10.1109/KST.2017.7886127","url":null,"abstract":"Cyberbullying is an activity of sending threatening messages to insult person. To prevent cyber victimization from the activity is challenging. This paper enhanced the Naïve Bayes classifier for extracting the words and examining loaded pattern clustering. The algorithm included two main methods: (1) creating partitions by iteratively relocating from entire datasets into clusters using k-mean clustering and (2) capturing any specific partition with the frequency of words with multinomial model feature vector and drawing the probability of words occurring in a document for predicting the eight classes. The proposed method resulted in increasing accuracy and reliability of an experiment.","PeriodicalId":190832,"journal":{"name":"2017 9th International Conference on Knowledge and Smart Technology (KST)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121121279","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: 25
Adaptive artificial bee colony algorithm for solving the capacitated vehicle routing problem 求解有能力车辆路径问题的自适应人工蜂群算法
2017 9th International Conference on Knowledge and Smart Technology (KST) Pub Date : 2017-02-01 DOI: 10.1109/KST.2017.7886072
S. Mingprasert, R. Masuchun
{"title":"Adaptive artificial bee colony algorithm for solving the capacitated vehicle routing problem","authors":"S. Mingprasert, R. Masuchun","doi":"10.1109/KST.2017.7886072","DOIUrl":"https://doi.org/10.1109/KST.2017.7886072","url":null,"abstract":"This research provides an adaptive artificial bee colony algorithm (AABC) to handle the goods transportation routing problem based on available capacity of vehicles well-known as Capacitated Vehicle Routing Problem (CVRP). The proposed algorithm is developed from the traditional artificial bee colony algorithm to approve a good performance and quality solution. This algorithm was verified through VRP Benchmark problems by comparing the results with existing Best Known Solutions (BKS) of the Capacitated VRP benchmark. The experimental results found that AABC can nearly confirm the good performances as compared with benchmark problem of Augerat et al. that can success the short running time and receive average nearest values.","PeriodicalId":190832,"journal":{"name":"2017 9th International Conference on Knowledge and Smart Technology (KST)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125320304","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: 10
Reducing waiting time in automatic captioned relay service using short pause in voice activity detection 在语音活动检测中使用短停顿减少自动字幕中继服务的等待时间
2017 9th International Conference on Knowledge and Smart Technology (KST) Pub Date : 2017-02-01 DOI: 10.1109/KST.2017.7886109
Kiettiphong Manovisut, N. Thatphithakkul, Pokpong Songmuang
{"title":"Reducing waiting time in automatic captioned relay service using short pause in voice activity detection","authors":"Kiettiphong Manovisut, N. Thatphithakkul, Pokpong Songmuang","doi":"10.1109/KST.2017.7886109","DOIUrl":"https://doi.org/10.1109/KST.2017.7886109","url":null,"abstract":"The Automatic Captioned Relay Service is crucial for hearing disabilities or hard-of-hearing to communicate with others in real life. This service uses an Automatic Speech Recognition (ASR) to transcribe speech to a caption. If can reduce waiting time from non-streaming speech recognition, the relay service will support more users. In this paper, we proposed a method for improving a voice activity detection (VAD) using a short pause as endpoint based on dual-threshold method. This method reduces waiting time of the captions results. The experimental results show that the propose method reduces 19.10% of waiting time without losing the accuracy of captions when compare with traditional VAD.","PeriodicalId":190832,"journal":{"name":"2017 9th International Conference on Knowledge and Smart Technology (KST)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122462033","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
Visual attention is captured by task-irrelevant faces, but not by pareidolia faces 视觉注意力会被与任务无关的脸所吸引，但不会被幻想性视错觉的脸所吸引
2017 9th International Conference on Knowledge and Smart Technology (KST) Pub Date : 2017-02-01 DOI: 10.1109/KST.2017.7886105
Atsunori Ariga, Katsuhiko Arihara
{"title":"Visual attention is captured by task-irrelevant faces, but not by pareidolia faces","authors":"Atsunori Ariga, Katsuhiko Arihara","doi":"10.1109/KST.2017.7886105","DOIUrl":"https://doi.org/10.1109/KST.2017.7886105","url":null,"abstract":"It has been reported that visual attention is captured exogenously by faces. This study used pareidolia faces and examined whether subjective perception of a face is sufficient for capturing attention or the registry of an actual face is necessary for attentional capture. Three experiments demonstrated that a completely task-irrelevant face distractor captured attention exogenously, in turn disrupting subsequent target identification in a rapid serial visual presentation paradigm (Experiment 1). However, the task-irrelevant pareidolia face distractor did not cause attentional capture (Experiment 2), although it was perceived as a face (Experiment 3). Thus, the subjective perception of a task-irrelevant face is insufficient to trigger stimulus-driven attentional capture; the registry of an actual face is necessary for attentional capture. The visual system may have a cognitive mechanism preattentively discriminating actual faces from face-like objects.","PeriodicalId":190832,"journal":{"name":"2017 9th International Conference on Knowledge and Smart Technology (KST)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122975364","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: 5
Pattern extraction from northern Thai fabrics using flexibly matching segments: Sarong Teenjok and Lanna textiles 从泰国北部面料中提取图案，使用灵活匹配的部分:萨隆特佐克和兰纳纺织品
2017 9th International Conference on Knowledge and Smart Technology (KST) Pub Date : 2017-02-01 DOI: 10.1109/KST.2017.7886125
Nattha Vasantapan, Varin Chouvatut
{"title":"Pattern extraction from northern Thai fabrics using flexibly matching segments: Sarong Teenjok and Lanna textiles","authors":"Nattha Vasantapan, Varin Chouvatut","doi":"10.1109/KST.2017.7886125","DOIUrl":"https://doi.org/10.1109/KST.2017.7886125","url":null,"abstract":"This paper proposes a method with flexibility in detecting and recognizing northern Thai fabrics which usually include various delicate patterns or traceries. Due to delicacies in unique patterns of northern Thai fabrics, especially ones called Sarong Teenjok or even other Lanna textiles, flexibility in searching and detecting such patterns is required. Authors thus propose a method using some parameters allowed to be adjusted in order to add flexibility in pattern recognition. Thus, some small deviation, orientation, or different shadows and shades of the appeared traceries does not cause much problem. From experimental results, the proposed method still works very well in various challenging situations as mentioned, for example, in cases of having shadows in the input image, natural skewness or unnatural orientation of the fabrics, or some small deviation in pattern's colors of the traceries.","PeriodicalId":190832,"journal":{"name":"2017 9th International Conference on Knowledge and Smart Technology (KST)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129129690","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
3D body shape clustering based on PSO by multi-fitness function 基于多适应度函数的粒子群算法的三维体型聚类
2017 9th International Conference on Knowledge and Smart Technology (KST) Pub Date : 2017-02-01 DOI: 10.1109/KST.2017.7886076
Pornthep Sarakon, S. Charoensiriwath, B. Uyyanonvara, H. Kaneko
{"title":"3D body shape clustering based on PSO by multi-fitness function","authors":"Pornthep Sarakon, S. Charoensiriwath, B. Uyyanonvara, H. Kaneko","doi":"10.1109/KST.2017.7886076","DOIUrl":"https://doi.org/10.1109/KST.2017.7886076","url":null,"abstract":"Human body shape plays an important role in many industries, especially in Healthcare. We have seen changes in the body size and shape of the Thai population from the data collected through national sizing surveys over two decades. These changes can also indicate the trend of national health status. In this paper, a body shape clustering algorithm based on particle swarm optimization with multi fitness function is proposed. It improves accuracy and efficiency of our previous work. This proposed method consists of four parts. First, the body plane detection to identify the front and the back of the body is defined by the Eigenvector and Eigenvalue. Second, the derivative of edges of body technique is used to detect body landmarks whereby body measurements are taken. Third, the identification of the body size according to the Thai Women's sizing system performed using three main body dimensions which consist of bust, waist and hip girths. Finally, a multi-fitness function, a combination of the volumetric overlap function and the euclidean distance of body measurements ratios, is used to calculate a similarity value between 2 body data. In the final step, PSO is used to group body shapes according to each body size. Results are then compared with those obtained from k-means clustering and the identified shapes from the Female Figure Identification Technique (FFIT). The results show that our PSO clustering can dynamically group people with similar body shapes and, at the same time, avoid those that are dissimilar. This algorithm can be extend work with larger population.","PeriodicalId":190832,"journal":{"name":"2017 9th International Conference on Knowledge and Smart Technology (KST)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115976447","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
Obstacle detection algorithm for unmanned aerial vehicles using binocular stereoscopic vision 基于双目立体视觉的无人机障碍物检测算法
2017 9th International Conference on Knowledge and Smart Technology (KST) Pub Date : 2017-02-01 DOI: 10.1109/KST.2017.7886116
Pakorn Ueareeworakul, Saiyan Saiyod
{"title":"Obstacle detection algorithm for unmanned aerial vehicles using binocular stereoscopic vision","authors":"Pakorn Ueareeworakul, Saiyan Saiyod","doi":"10.1109/KST.2017.7886116","DOIUrl":"https://doi.org/10.1109/KST.2017.7886116","url":null,"abstract":"Unmanned Aerial Vehicles are currently gaining widespread adoption in multiple roles. In this paper, we proposes obstacle detection algorithm for unmanned aerial vehicles using stereoscopic vision. Depth of objects in the image could be calculated. There is also another important property of image captured by a stereo camera; if an object is at a certain position it will appear at a certain combination of location in images from left and right camera but not any other. This property can be used to detect obstacles by checking a number of sample point placed in a grid in front of the drone. For each point we then use the property stated above to check if locations in the image specified by the property matches. We have evaluated the effectiveness of this algorithm. This algorithm scored 17 out of 20 cases within acceptable time constraints, which demonstrated its worthiness for further developments.","PeriodicalId":190832,"journal":{"name":"2017 9th International Conference on Knowledge and Smart Technology (KST)","volume":"108 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116279102","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
Time-frequency based coherence analysis of red and green flickering visual stimuli for EEG-controlled applications 脑电控制应用中红绿闪烁视觉刺激的时频相干性分析
2017 9th International Conference on Knowledge and Smart Technology (KST) Pub Date : 2017-02-01 DOI: 10.1109/KST.2017.7886130
S. Tantisatirapong, Panisa Dechwechprasit, W. Senavongse, M. Phothisonothai
{"title":"Time-frequency based coherence analysis of red and green flickering visual stimuli for EEG-controlled applications","authors":"S. Tantisatirapong, Panisa Dechwechprasit, W. Senavongse, M. Phothisonothai","doi":"10.1109/KST.2017.7886130","DOIUrl":"https://doi.org/10.1109/KST.2017.7886130","url":null,"abstract":"The stimulus flickering at specific frequencies, or as known as steady-state visually evoked potential (SSVEP), can be recorded on an occipital area of the brain. SSVEP is used to interpret the EEG signal to detect the desired goal of the experiment. In this paper, we aim to investigate SSVE signal by means of magnitude-squared coherence (MSC) analysis between the red and green visual stimuli. In the experimental paradigm, we considered two parameters that are chromatic color and flickering frequency where an epoch interval was 10 seconds. The obtained results showed the statistically significant frequency-domain response and its maximum MSC coefficient in the theta and alpha bands for green and red flickers, respectively.","PeriodicalId":190832,"journal":{"name":"2017 9th International Conference on Knowledge and Smart Technology (KST)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125421021","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: 3
Discovering interesting itemsets based on change in regularity of occurrence 根据发生规律的变化发现有趣的项目集
2017 9th International Conference on Knowledge and Smart Technology (KST) Pub Date : 2017-02-01 DOI: 10.1109/KST.2017.7886122
Sumalee Eisariyodom, Komate Amphawan
{"title":"Discovering interesting itemsets based on change in regularity of occurrence","authors":"Sumalee Eisariyodom, Komate Amphawan","doi":"10.1109/KST.2017.7886122","DOIUrl":"https://doi.org/10.1109/KST.2017.7886122","url":null,"abstract":"Mining interesting itemsets/patterns is presented and utilized in a wide range of applications. Organizations and businesses have applied this to observe/track/monitor significant occurrence behavior of objects or events. Currently, with the emergence of new technologies, people may change their needs/behaviors in daily life. Thus, analysis of change on occurrence behavior of objects (or events) can be an important issue in several domains. In this paper, we propose to mine interesting itemsets based on change in regularity of occurrence (called ICROs) to capture change on behavior from actions performed by people. A single-pass algorithm, called MICRO, and a tree structure named ICRO-tree are designed to efficiently mine ICROs. Moreover, a pruning strategy is devised to cut-down search space, computation time and memory consumption. Experiments were done to investigate the performance of MICRO and to show efficiency of MICRO on runtime, memory usage and the number of discovered ICROs.","PeriodicalId":190832,"journal":{"name":"2017 9th International Conference on Knowledge and Smart Technology (KST)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126686353","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: 5
Towards an open monitoring platform for improving energy efficiency and thermal comfort in public buildings 建立开放式监控平台，提高公共建筑的能源效率和热舒适性
2017 9th International Conference on Knowledge and Smart Technology (KST) Pub Date : 2017-02-01 DOI: 10.1109/KST.2017.7886092
A. Harfield, W. Rattanongphisat
{"title":"Towards an open monitoring platform for improving energy efficiency and thermal comfort in public buildings","authors":"A. Harfield, W. Rattanongphisat","doi":"10.1109/KST.2017.7886092","DOIUrl":"https://doi.org/10.1109/KST.2017.7886092","url":null,"abstract":"Considerable energy savings can be achieved through intelligent buildings that monitor the heating, ventilation and air conditioning systems that contribute a large proportion of energy consumption, particularly in extremely hot or cold climates. While intelligent building research focusses on automatically controlling such systems to maximise efficiency, there is a need for user input due to the personal, cultural and changeable nature of thermal comfort. As an alternative to automation, this paper proposes a monitoring platform that empowers users to make intelligent decisions about energy efficiency. The platform is designed to gather temperature, humidity, power and occupancy information about a room and to provide services that use the data for energy saving and comfort maximising purposes. After deploying the platform, the analysis of data collected in a lecture room highlights areas that significant energy savings could be achieved. Finally, applications of the platform are described that support manual energy saving measures.","PeriodicalId":190832,"journal":{"name":"2017 9th International Conference on Knowledge and Smart Technology (KST)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129861747","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: 10
首页 上一页 下一页 尾页
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们：info@booksci.cn Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：604180095
Book学术官方微信
小红书