发布求助
文献互助 智能选刊 最新文献

2018 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET)最新文献

筛选
英文 中文
IICAIET 2018 TOC
2018 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET) Pub Date : 2018-11-01 DOI: 10.1109/iicaiet.2018.8638473
{"title":"IICAIET 2018 TOC","authors":"","doi":"10.1109/iicaiet.2018.8638473","DOIUrl":"https://doi.org/10.1109/iicaiet.2018.8638473","url":null,"abstract":"","PeriodicalId":308127,"journal":{"name":"2018 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114999934","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
Cleaning Behavior Estimation for Self-Supported Cognitive Rehabilitation System 自我支持认知康复系统的清洁行为评估
2018 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET) Pub Date : 2018-11-01 DOI: 10.1109/IICAIET.2018.8638470
Hiroki Kojima, M. Kitano, K. Yokota, Sho Ooi, Mutsuo Sano
{"title":"Cleaning Behavior Estimation for Self-Supported Cognitive Rehabilitation System","authors":"Hiroki Kojima, M. Kitano, K. Yokota, Sho Ooi, Mutsuo Sano","doi":"10.1109/IICAIET.2018.8638470","DOIUrl":"https://doi.org/10.1109/IICAIET.2018.8638470","url":null,"abstract":"People suffering from brain injury can present complications such as attention disorder, memory disorder, functional disorder, and aphasia, which limit their capacity to perform activities of daily living. We aim to implement a system for cognitive rehabilitation based on daily routines. For instance, we previously reported the benefits of cognitive rehabilitation through cooking. In this paper, we focus on cognitive rehabilitation based on cleaning tasks, which are as important as cooking for daily living. We tested the system with the help of a patient from the Osaka Prefecture Self-Reliance Center for People with Disabilities on November 9, 16 and 30, 2017. We propose and test a system that detects some cleaning tools and a human skeleton to assess the patients' behavior while cleaning, and rehabilitation is guided using indoor navigation. Object recognition allowed to integrate information about the cleaning tools to determine different cleaning behaviors. In addition, we tracked the patient to determine her state from a library of five states for the recognized skeleton in different cleaning areas. By detecting the cleaning tools and person's state, we estimated the cleaning behavior. As state estimation may retrieve a high rate of misidentification of the person's state, we implemented an error correction algorithm for estimating the cleaning behavior based on previous states, thus improving the system accuracy. We evaluated the university environment before testing the system, and determined the accuracy of both object recognition and person's state for estimating the cleaning behavior.","PeriodicalId":308127,"journal":{"name":"2018 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121484535","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
Real-time Muscle Activity Indication Method for Pedaling Motion using Surface EMG 基于表面肌电图的踏板运动实时肌肉活动指示方法
2018 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET) Pub Date : 2018-11-01 DOI: 10.1109/IICAIET.2018.8638461
Tsuyoshi Inoue, Shinnichiro Terashima
{"title":"Real-time Muscle Activity Indication Method for Pedaling Motion using Surface EMG","authors":"Tsuyoshi Inoue, Shinnichiro Terashima","doi":"10.1109/IICAIET.2018.8638461","DOIUrl":"https://doi.org/10.1109/IICAIET.2018.8638461","url":null,"abstract":"In cycle sports typified by bicycle road race, how to use the muscles during a pedaling motion is important to achieve higher performance, but it is difficult to understand one’s own muscle activities. In this study, we proposed an surface EMG signal processing method for a real-time display that can easily understand muscle activity during a pedaling motion. We confirm the effectiveness of the proposed method using EMG data recorded form three subjects, during pedaling exercise for 3 minutes. As a result of evaluating by the error reduction ratio of the proposed method for the conventional method, the average value of all subjects was 77.4%.","PeriodicalId":308127,"journal":{"name":"2018 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131058660","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
Numerical Evaluation of Quarter-Sweep SOR Iteration for Solving Poisson Image Blending Problem 四分之一扫描SOR迭代求解泊松图像混合问题的数值评价
2018 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET) Pub Date : 2018-11-01 DOI: 10.1109/IICAIET.2018.8638469
J. Eng, A. Saudi, J. Sulaiman
{"title":"Numerical Evaluation of Quarter-Sweep SOR Iteration for Solving Poisson Image Blending Problem","authors":"J. Eng, A. Saudi, J. Sulaiman","doi":"10.1109/IICAIET.2018.8638469","DOIUrl":"https://doi.org/10.1109/IICAIET.2018.8638469","url":null,"abstract":"Solving Poisson equation for seamless image blending is one of the powerful image editing tools. Thus, the aim of this paper is to evaluate the capability of the Quarter-Sweep Successive Over Relaxation (QSSOR) iterative methods in solving this problem. The finite difference discretization scheme is used to formulate the Poisson approximation equation. The concept and implementation of the proposed methods are presented. Finally, the numerical experimentations showed that QSSOR method has the best performance in blending time and number of iterations while generating the same quality of images compared to the Full-Sweep SOR (FSSOR) and Half-Sweep SOR (HSSOR).","PeriodicalId":308127,"journal":{"name":"2018 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130612218","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
Sleep Stage Classification Using Dempster-Shafer Theory for Classifier Fusion 基于Dempster-Shafer理论的睡眠阶段分类器融合
2018 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET) Pub Date : 2018-11-01 DOI: 10.1109/IICAIET.2018.8638445
Mehdi Abdollahpour, T. Y. Rezaii, A. Farzamnia, S. Meshgini
{"title":"Sleep Stage Classification Using Dempster-Shafer Theory for Classifier Fusion","authors":"Mehdi Abdollahpour, T. Y. Rezaii, A. Farzamnia, S. Meshgini","doi":"10.1109/IICAIET.2018.8638445","DOIUrl":"https://doi.org/10.1109/IICAIET.2018.8638445","url":null,"abstract":"The importance of the automatic sleep stage classification is increasing in order to study of sleep stage transitions and sleep health. The researches are introducing new methods to obtain the highest accuracy compared to the expert scored hypnograms through classification of the electroencephalogram (EEG). Because of limitations when using the single information source this article combines the outcomes of classifiers obtained from different sources. By extracting 13 features from two channels of EEG signal and using these features for learning and testing linear discriminant analysis classifier, we reached accuracy of 71.93% for the Fpz-Cz channel and 6S.33% for the Pz-Oz channel. In the last step, Dempster-Shafer theory of evidence is used for classifier fusion and combining the outputs derived from the classification of two EEG channels, the classification accuracy increased by 88.23%.","PeriodicalId":308127,"journal":{"name":"2018 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134508422","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: 4
Cooperative Network Coding for International Mobile Telecommunications 国际移动通信合作网络编码
2018 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET) Pub Date : 2018-11-01 DOI: 10.1109/IICAIET.2018.8638462
A. Farzamnia, S. Yit, M. K. Haldar, E. Moung
{"title":"Cooperative Network Coding for International Mobile Telecommunications","authors":"A. Farzamnia, S. Yit, M. K. Haldar, E. Moung","doi":"10.1109/IICAIET.2018.8638462","DOIUrl":"https://doi.org/10.1109/IICAIET.2018.8638462","url":null,"abstract":"Cooperative network coding is a new approach that can increase the performance of the wireless transmission system. By placing the intermediate nodes between the source and destination, the security and transmission reliability can be boosted if compared with the direct transmission. In this paper, we will take a look at the details for the protocol design for the fourth generation wireless communication system. This paper first introduces the architecture of the possible coding scheme, for example two-ways, multiple accesses and multicast the three networks coded cooperative relay schemes and the performances of all these schemes are evaluated.","PeriodicalId":308127,"journal":{"name":"2018 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET)","volume":"116 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115277080","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
Corrective Cell Transmission Model for Local Network Adaptation 局部网络自适应校正小区传输模型
2018 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET) Pub Date : 2018-11-01 DOI: 10.1109/IICAIET.2018.8638456
H. S. Chuo, M. K. Tan, H. Tham, R. Chin, K. Teo
{"title":"Corrective Cell Transmission Model for Local Network Adaptation","authors":"H. S. Chuo, M. K. Tan, H. Tham, R. Chin, K. Teo","doi":"10.1109/IICAIET.2018.8638456","DOIUrl":"https://doi.org/10.1109/IICAIET.2018.8638456","url":null,"abstract":"This paper explains the development of intersectional traffic flow model based on discretised hydrodynamic theory to explore and fully utilise the existing model. By understanding the model variation and the features of each existing traffic model that serve different purposes in transportation management, a more suitable, adaptable and updatable traffic modelling process can be planned and executed to cope with the expanding transportation network and urban intelligent mobility urges. The developed model acts as a medium to accommodate traffic data from intersections and simulate the traffic scenario for further traffic network analysis and control actions. Computational intelligent plays a crucial role to facilitate the modelling and control actions that aims to enhance network performance and transportation optimisation. While transportation network is usually prompted to changes and uncertainties, adaptive modelling framework enhancement is proposed in this work to handle the traffic dynamics in order to optimise network performance.","PeriodicalId":308127,"journal":{"name":"2018 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET)","volume":"104 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132404513","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
Indoor Environment Device-Free Wireless Positioning using IR-UWB Radar 使用IR-UWB雷达的室内环境无线定位
2018 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET) Pub Date : 2018-11-01 DOI: 10.1109/IICAIET.2018.8638458
T. J. Daim, R. A. Lee
{"title":"Indoor Environment Device-Free Wireless Positioning using IR-UWB Radar","authors":"T. J. Daim, R. A. Lee","doi":"10.1109/IICAIET.2018.8638458","DOIUrl":"https://doi.org/10.1109/IICAIET.2018.8638458","url":null,"abstract":"Impulse Radio Ultra-Wideband (IR-UWB) radar is a type of radar functioning based on UWB transmission technology that uses an exceedingly wide bandwidth low power impulse signal to continuously transmitting and receiving the impulse signal for object detection within a range. IR-UWB radar has shown promising utilization in realizing indoor environment device-free wireless positioning which is an emerging positioning technique that can approximate the presence and location of a person or object in passive manner without the obligation of any attached tracking devices. With this motivation, in this paper a study on indoor environment device-free wireless positioning using IR-UWB radar is presented.","PeriodicalId":308127,"journal":{"name":"2018 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET)","volume":" 21","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120834437","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: 7
Hierarchical Multi-agent System in Traffic Network Signalization with Improved Genetic Algorithm 基于改进遗传算法的交通网络信号分层多智能体系统
2018 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET) Pub Date : 2018-11-01 DOI: 10.1109/IICAIET.2018.8638464
M. K. Tan, H. S. Chuo, R. Chin, K. Yeo, K. Teo
{"title":"Hierarchical Multi-agent System in Traffic Network Signalization with Improved Genetic Algorithm","authors":"M. K. Tan, H. S. Chuo, R. Chin, K. Yeo, K. Teo","doi":"10.1109/IICAIET.2018.8638464","DOIUrl":"https://doi.org/10.1109/IICAIET.2018.8638464","url":null,"abstract":"Instead of using classical offline data-driven optimization technique in traffic network signal control, this work aims to explore the potential of implementing an online data-driven optimization technique. A dynamic modeling technique is proposed using Q-learning (QL) algorithm to online observe and learn the inflow-outflow traffic behaviors and extract the model parameters to update the evaluation model used in the fitness function of genetic algorithm (GA). The proposed GA with dynamic modeling is known as dyna-GA. Dyna-GA is then integrated into a hierarchical-based multi-agent traffic signal control system which consists of two layers. The lower-layer consists of several local agents that have autonomy in controlling their local intersection, whereas the upper-layer consists of one supervisory agent that has jurisdiction on all the local agents. The supervisory agent has the superiority in overwriting the local control decision if conflict occurred. The robustness of the proposed dyna-GA under several traffic scenarios is tested using a simulated arterial traffic network. The simulation results show the proposed dyna-GA has better performances in minimizing travel delay as compared to the classical GA which does not have the dynamic model.","PeriodicalId":308127,"journal":{"name":"2018 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126769481","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
Network Coding Schemes with MIMO-NOMA for Two-Way Relay Networks 基于MIMO-NOMA的双向中继网络编码方案
2018 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET) Pub Date : 2018-11-01 DOI: 10.1109/IICAIET.2018.8638454
A. Farzamnia, Ngu War Hlaing, M. Mariappan, Liau Chung Fan
{"title":"Network Coding Schemes with MIMO-NOMA for Two-Way Relay Networks","authors":"A. Farzamnia, Ngu War Hlaing, M. Mariappan, Liau Chung Fan","doi":"10.1109/IICAIET.2018.8638454","DOIUrl":"https://doi.org/10.1109/IICAIET.2018.8638454","url":null,"abstract":"The combination of Non-orthogonal Multiple Access (NOMA) and Multi-antenna Multi-input Multi-output (MIMO) approach has been considered as an assuring multiple access for fifth generation (5G) technology to improve the system network capacity and the efficiency of the spectrum. In this paper, we investigated a MIMO-NOMA based network code, exclusive-OR (XOR) scheme which applies physical layer network coding (PNC) in two-way relay networks to reduce the transmission time slots. The Quadrature Phase Shift Keying (QPSK) modulation technique is selected to apply to enable the data source transmitting with the carrier wave. In this paper, convolutional codes and the Soft Decision Viterbi algorithm is used to encode and decode the information bits. The coded MIMO-NOMA gives the less bit error rate compared to coded NOMA alone. Moreover, we have analyzed the spectral efficiency and energy efficiency in NOMA and MIMO-NOMA. The sum capacity and transmission rate are also compared in NOMA and MIMO-NOMA scheme. The simulation results show that MIMO-NOMA has higher spectral efficiency and faster transmission rate than NOMA scheme. Finally, the user fairness of MIMO-NOMA has been evaluated.","PeriodicalId":308127,"journal":{"name":"2018 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126900375","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: 4
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