International Conference on Computers and Their Applications最新文献_第2页

Integrated adaptive interface design system development of the magnetic separator considering the shapes of the hopper for a powder line 考虑粉线料斗形状的磁选机集成自适应界面设计系统的开发

International Conference on Computers and Their Applications Pub Date : 2020-03-09 DOI: 10.29007/hn35

T. Ohnishi, K. Watanuki

{"title":"Integrated adaptive interface design system development of the magnetic separator considering the shapes of the hopper for a powder line","authors":"T. Ohnishi, K. Watanuki","doi":"10.29007/hn35","DOIUrl":"https://doi.org/10.29007/hn35","url":null,"abstract":"Foreign metal removal is a key process of quality control in the food and pharmaceutical industries and can possibly be achieved using a magnet separator. Typically, magnetic separators are installed at existing production facilities by remodeling because they have the ability to deal with the problems that arise in production facilities. However, when measuring for remodeling, problems such as measurement error, forgotten measurements, change in location, detail proposal changes, or impossibility to measure occur because of complex, distorted or dented shapes, dimensional inaccuracy, and the surroundings. Additionally, the magnet separators designed to fit an existing production have problems in that the dimensions differ from those of the existing facilities, and deficiency is expected in the performance. To solve these problems using a non-conventional method, we developed an adaptive interface design system that combines high accuracy measurement by means of 3D scan to reproduce the existing production facilities as distorted shape and dented shape by reverse engineering, and the optimized finite element method analysis for magnet field to satisfy an expected performance of the surface flux density, and inspect the shape of the design, dimensions, and performance, using computer aided engineering.","PeriodicalId":264035,"journal":{"name":"International Conference on Computers and Their Applications","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121245995","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

Active Rules in a Graph Database Environment 图数据库环境中的活动规则

International Conference on Computers and Their Applications Pub Date : 2020-03-09 DOI: 10.29007/1w4k

Ying Jin, V. Bharath, Jinaliben Shah

引用次数: 1

Convolutional Neural Networks with LSTM for Intrusion Detection 基于LSTM的卷积神经网络入侵检测

International Conference on Computers and Their Applications Pub Date : 2020-03-09 DOI: 10.29007/j35r

M. Ahsan, K. Nygard

引用次数: 29

A Study of Update Methods for BoND-Tree Index on Non-ordered Discrete Vector Data 非有序离散向量数据上BoND-Tree索引更新方法研究

International Conference on Computers and Their Applications Pub Date : 2020-03-09 DOI: 10.29007/3zq4

R. Cherniak, Qiang Zhu, S. Pramanik

{"title":"A Study of Update Methods for BoND-Tree Index on Non-ordered Discrete Vector Data","authors":"R. Cherniak, Qiang Zhu, S. Pramanik","doi":"10.29007/3zq4","DOIUrl":"https://doi.org/10.29007/3zq4","url":null,"abstract":"There is an increasing demand from numerous applications such as bioinformatics and cybersecurity to efficiently process various types of queries on datasets in a multidimensional Non-ordered Discrete Data Space (NDDS). An NDDS consists of vectors with values coming from a non-ordered discrete domain for each dimension. The BoND-tree index was recently developed to efficiently process box queries on a large dataset from an NDDS on disk. The original work of the BoND-tree focused on developing the index construction and query algorithms. No work has been reported on exploring efficient and effective update strategies for the BoND-tree. In this paper, we study two update methods based on two different strategies for updating the index tree in an NDDS. Our study shows that using the bottom-up update method can provide improved efficiency, comparing to the traditional top-down update method, especially when the number of dimensions for a vector that need to be updated is small. On the other hand, our study also shows that the two update methods have a comparable effectiveness, which indicates that the bottom-up update method is generally more advantageous.","PeriodicalId":264035,"journal":{"name":"International Conference on Computers and Their Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130303950","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

Estimating the Concentration of Students from Time Series Images 从时间序列图像估计学生的集中程度

International Conference on Computers and Their Applications Pub Date : 2020-03-09 DOI: 10.29007/gl3b

H. Nguyen, Yu Takahata, Masaaki Goto, Tetsuo Tanaka, Akihiko Ohsuga, Kazunori Matsumoto

{"title":"Estimating the Concentration of Students from Time Series Images","authors":"H. Nguyen, Yu Takahata, Masaaki Goto, Tetsuo Tanaka, Akihiko Ohsuga, Kazunori Matsumoto","doi":"10.29007/gl3b","DOIUrl":"https://doi.org/10.29007/gl3b","url":null,"abstract":"In this study, we build a system that is able to estimate the concentration degree of students while they are working with computers. The purpose of learning is to gain knowledge of a subject and to reach sufficient performance level about the subject. Concentration is the key in the successful learning process. But the concept of concentration includes some ambiguity and lacks the clear definition form an engineering point of view, and it is difficult to measure its degree by observation from outside. We in this paper begins with a discussion of the concept of concentration, and then a discussion of how to measure it by using standard devices and sensors. The proposed system investigates the facial images of students recorded by the PC webcams attached to the computers to infer their concentration degree. In this study, we define the concentration degree over a short time interval. The value takes continues value from 0 to 1, and is determined based on the efficiency of simple work performed over the interval. We convert the continuous values into three discrete values: low, middle and high. In the first approach in this study, we apply deep learning algorithm with only the facial images. In the next, we obtain the data of face moves as a set of time series, and run the learning algorithm using both of the data. We explain an outline of the methods and the system with several experimental results.","PeriodicalId":264035,"journal":{"name":"International Conference on Computers and Their Applications","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134055973","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

Disease Outbreak Detection Using Search Keywords Patterns 使用搜索关键字模式进行疾病爆发检测

International Conference on Computers and Their Applications Pub Date : 2020-03-09 DOI: 10.29007/z8tp

I. Alsmadi, Zaid Almubaid, H. Al-Mubaid

{"title":"Disease Outbreak Detection Using Search Keywords Patterns","authors":"I. Alsmadi, Zaid Almubaid, H. Al-Mubaid","doi":"10.29007/z8tp","DOIUrl":"https://doi.org/10.29007/z8tp","url":null,"abstract":"In the recent years, people are becoming more dependent on the Internet as their main source of information about healthcare. A number of research projects in the past few decades examined and utilized the internet data for information extraction in healthcare including disease surveillance and monitoring. In this paper, we investigate and study the potential of internet data like internet search keywords and search query patterns in the healthcare domain for disease monitoring and detection. Specifically, we investigate search keyword patterns for disease outbreak detection. Accurate prediction and detection of disease outbreaks in a timely manner can have a big positive impact on the entire health care system. Our method utilizes machine learning in identifying interesting patterns related to target disease outbreak from search keyword logs. We conducted experiments on the flu disease, which is the most searched disease in the interest of this problem. We showed examples of keywords that can be good predictors of outbreaks of the flu. Our method proved that the correlation between search queries and keyword trends are truly reliable in the sense that it can be used to predict the outbreak of the disease.","PeriodicalId":264035,"journal":{"name":"International Conference on Computers and Their Applications","volume":"810 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132146643","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

UI Error Reduction for High Spatial Visualization Users when Using Adaptive Software to Verify Addresses 高空间可视化用户在使用自适应软件验证地址时的UI错误减少

International Conference on Computers and Their Applications Pub Date : 2020-03-09 DOI: 10.29007/58s9

Thitivatr Patanasakpinyo, L. Miller

{"title":"UI Error Reduction for High Spatial Visualization Users when Using Adaptive Software to Verify Addresses","authors":"Thitivatr Patanasakpinyo, L. Miller","doi":"10.29007/58s9","DOIUrl":"https://doi.org/10.29007/58s9","url":null,"abstract":"An adaptive software system is known as an application that can adapt itself based on different conditions of users. There are multiple conditions/criteria that can be used to direct how an application would adapt. Spatial visualization (VZ) is one of several human spatial abilities that is used to predict human’s performance when using a computer application. Therefore, a difference in VZ level is a suitable choice as an adapting indicator, i.e., high VZ and low VZ users should get different features on a user interface (UI) to complete the same task. In this paper, we look at three studies where we asked participants to verify a set of housing addresses using a location-based application on an Android tablet with different versions of the application, especially, an adaptive version of the application was involved in the last study. We found that, for high VZ participants, the number of UI errors that participants created was significantly smaller when they were equipped with the adaptive software. We refer to a UI error (User Interface Error) as an error where a user tapped on a non-sensitive region of the screen. The results of the three studies and hypothesis tests for significance are reported.","PeriodicalId":264035,"journal":{"name":"International Conference on Computers and Their Applications","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132486538","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

Real-Time Learner Classification Using Cognitive Score 基于认知评分的实时学习者分类

International Conference on Computers and Their Applications Pub Date : 2020-03-09 DOI: 10.29007/fn7b

Avick Kumar Dey, B. Poddar, Pijush Kanti Dutta Pramanik, N. Debnath, S. Aljahdali, Prasenjit Choudhury

{"title":"Real-Time Learner Classification Using Cognitive Score","authors":"Avick Kumar Dey, B. Poddar, Pijush Kanti Dutta Pramanik, N. Debnath, S. Aljahdali, Prasenjit Choudhury","doi":"10.29007/fn7b","DOIUrl":"https://doi.org/10.29007/fn7b","url":null,"abstract":"Recommending and providing suitable learning materials to the learners according to their cognitive ability is important for effective learning. Assessing the cognitive load of a learner while studying a learning material can be helpful in assessing his/her intelligence and knowledge adapting abilities. This paper presents a real-time assessment method of the intelligence of students according to their instant learning skills. The proposed system can read the brain waves of students of different age groups at the time of learning and classify their instant learning skills using the cognitive score. Based on this, the learners are suggested suitable learning materials which maintain the learner in an overall state of optimal learning. The main issues concerning this approach are constructing cognitive state estimators from a multimodal array of physiological sensors and assessing initial baseline values, as well as changes in the baseline. These issues are discussed in a data processing block-wise structure. Synchronization of different data streams and feature extraction and formation of a cognitive state metric by classification/clustering of the feature sets are done. The results demonstrate the efficiency of using cognitive score in RTLCS in the identification of instant learning abilities of learners.","PeriodicalId":264035,"journal":{"name":"International Conference on Computers and Their Applications","volume":"133 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129372824","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: 6

Pavement Crack Detection Using Convolutional Neural Network 基于卷积神经网络的路面裂缝检测

International Conference on Computers and Their Applications Pub Date : 2020-03-09 DOI: 10.29007/h4k6

A. Sheta, H. Turabieh, S. Aljahdali, Abdulaziz S. Alangari

引用次数: 2

Computing Urban Fabric of a Historical Town 历史城镇城市结构计算

International Conference on Computers and Their Applications Pub Date : 2020-03-09 DOI: 10.29007/9sk3

N. Shih, Cheng-Yu Hsieh, Yi Chen, Pei-Huang Diao

引用次数: 0