2020 IEEE 2nd International Conference on Artificial Intelligence in Engineering and Technology (IICAIET)最新文献_第4页

Automata Theory Approach for Nurse Rostering Problem 护士值勤问题的自动机理论研究

2020 IEEE 2nd International Conference on Artificial Intelligence in Engineering and Technology (IICAIET) Pub Date : 2020-09-26 DOI: 10.1109/IICAIET49801.2020.9257831

T. Eric, Hann Yuan Liew, Gan Keng Hoon

引用次数: 1

Offline Artificial Neural Network Rotor Flux Estimator for Induction Motor 异步电动机转子磁链离线人工神经网络估计

2020 IEEE 2nd International Conference on Artificial Intelligence in Engineering and Technology (IICAIET) Pub Date : 2020-09-26 DOI: 10.1109/IICAIET49801.2020.9257845

S. N. Mahsahirun, Z. Yusof, N. Idris

引用次数: 1

Expert System for University Program Recommendation 大学项目推荐专家系统

2020 IEEE 2nd International Conference on Artificial Intelligence in Engineering and Technology (IICAIET) Pub Date : 2020-09-26 DOI: 10.1109/IICAIET49801.2020.9257822

C. Lee, Z. Ng, Yong Ee Low, K. Lim

{"title":"Expert System for University Program Recommendation","authors":"C. Lee, Z. Ng, Yong Ee Low, K. Lim","doi":"10.1109/IICAIET49801.2020.9257822","DOIUrl":"https://doi.org/10.1109/IICAIET49801.2020.9257822","url":null,"abstract":"Deciding on the most suitable university program to pursue after completing secondary education is a major step for school-leavers as it sets the tone of the career path they will embark on in the future. Undeniably, deciding on the university program is a sophisticated problem that involves a broad range of factors, such as geographic location, overall cost, campus security, personality, etc. Most of these factors, for instance, geographic location and campus security only have temporary impact on the school-leavers while they are attending to university. Nevertheless, the personality factor appears to be the long-term and the most crucial determinant of the success in their professional life. When choosing the university program, school-leavers often make the mistake of following friends' footsteps or adhering to parents' decisions, only to realize years later that it is not what suits their personality or what they want. Considering these challenges, this work studies on the Holland's Personality Test to examine the personality of school-leavers. There are six personality types in Holland's Personality Test, represented as RIASEC code or Holland code. On top of that, this work also compiles a comprehensive list of university programs with their corresponding Holland code. An expert system is then engineered to encode the information into the knowledge base. Upon taking the Holland Personality Test, the expert system will update the facts list based on the answers given. Subsequently, the inference engine activates the production rules if the conditions are fulfilled. Ultimately, the personality type and recommended university program are presented to the school-leavers.","PeriodicalId":300885,"journal":{"name":"2020 IEEE 2nd International Conference on Artificial Intelligence in Engineering and Technology (IICAIET)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124129914","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

Effectiveness of dynamic image features for estimating daily conversation atmosphere 动态图像特征在估计日常会话氛围中的有效性

2020 IEEE 2nd International Conference on Artificial Intelligence in Engineering and Technology (IICAIET) Pub Date : 2020-09-26 DOI: 10.1109/IICAIET49801.2020.9257834

Natsumi Kana, Yumi Wakita, Y. Nakatoh

{"title":"Effectiveness of dynamic image features for estimating daily conversation atmosphere","authors":"Natsumi Kana, Yumi Wakita, Y. Nakatoh","doi":"10.1109/IICAIET49801.2020.9257834","DOIUrl":"https://doi.org/10.1109/IICAIET49801.2020.9257834","url":null,"abstract":"To achieve a conversation atmosphere estimation method, we confirm the usefulness of optical flow values for conversation atmosphere estimation. We extracted only the response scenes from a database of free conversation between elderly individuals, analyzed two-dimensional optical flow parameters, and calculated the standard deviation values (FX-SD, FY-SD) of all frames for each dimension. These values express the dynamic characteristics of conversation gestures. As a result of comparing the FX-SD values and the FY-SD values of “smooth conversation scene (not-need help (NNH))” with that of “not-smooth conversation scene (need help (NH))”, the “NNH scenes” values are smaller than those of the “NH scenes”. We also confirmed the identification rate using support vector machine (SVM). The average identification rate is 72.3%. These results suggest that optical flow parameters are useful for identification, but the performance is not sufficient. In the future, we should evaluate more conversation databases and provide more in-depth discussion of the effectiveness.","PeriodicalId":300885,"journal":{"name":"2020 IEEE 2nd International Conference on Artificial Intelligence in Engineering and Technology (IICAIET)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126423286","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 interactive virtual mobile assistance for indoor navigation using wireless Beacon technology 一个交互式虚拟移动辅助室内导航使用无线信标技术

2020 IEEE 2nd International Conference on Artificial Intelligence in Engineering and Technology (IICAIET) Pub Date : 2020-09-26 DOI: 10.1109/IICAIET49801.2020.9257870

U. Niroshika, W. Weerakoon

引用次数: 0

RSS Based Vertical Handover Schemes in Heterogeneous Wireless Networks: Past, Present & Future 异构无线网络中基于RSS的垂直切换方案:过去、现在和未来

2020 IEEE 2nd International Conference on Artificial Intelligence in Engineering and Technology (IICAIET) Pub Date : 2020-09-26 DOI: 10.1109/IICAIET49801.2020.9257844

H. T. Yew, A. Chekima, A. Kiring, Abbas Ibrahim Mbulwa, J. Dargham, Seng Kheau Chung

引用次数: 10

Speech Enhancement System Using Lip-reading 唇读语音增强系统

2020 IEEE 2nd International Conference on Artificial Intelligence in Engineering and Technology (IICAIET) Pub Date : 2020-09-26 DOI: 10.1109/IICAIET49801.2020.9257839

K. Matsui, Kohei Fukuyama, Y. Nakatoh, Y. Kato

{"title":"Speech Enhancement System Using Lip-reading","authors":"K. Matsui, Kohei Fukuyama, Y. Nakatoh, Y. Kato","doi":"10.1109/IICAIET49801.2020.9257839","DOIUrl":"https://doi.org/10.1109/IICAIET49801.2020.9257839","url":null,"abstract":"We have been developing a practical speech enhancement system that supports for laryngectomee. By interviewing users we captured essential issues, such as “utilization of existing device”, “the appearance needs to be inconspicuous”, and “the device should be easy to use”. Considering those user's needs, we plan to use smart phone platform and develop speech enhancement application so that the users are just ordinary looking, and there is no need to buy any additional device. In order to realize such system, the key concept of our proposed system performs lip-reading and speech synthesis. In this study, we examined a lip-reading method that can recognize by registering the words that you want to speak and that is optimized for the user using a small amount of data. 36 viseme images were converted into very small data using VAE(Variational Auto Encoder), then the training data for word recognition model was generated. Viseme is a group of phonemes with identical appearance on the lips. Our viseme sequence representation with VAE was used to be able to adapt users with very small amount of training data set. Word recognition experiment using VAE encoder and CNN was performed with 20 Japanese words. The experimental result showed 65% recognition accuracy, and 100% including 1st and 2nd candidates. The lip-reading type speech enhancement seems appropriate for embedding mobile devices in consideration of both usability and small vocabulary recognition accuracy.","PeriodicalId":300885,"journal":{"name":"2020 IEEE 2nd International Conference on Artificial Intelligence in Engineering and Technology (IICAIET)","volume":"186 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116286752","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

Energy Meter based Wireless Monitoring System using Blynk Application via smartphone 基于智能手机的Blynk应用程序的电能表无线监控系统

2020 IEEE 2nd International Conference on Artificial Intelligence in Engineering and Technology (IICAIET) Pub Date : 2020-09-26 DOI: 10.1109/IICAIET49801.2020.9257827

A. Othman, Nur Hafiza Zakaria

引用次数: 3

Wi-Fi Radio Map Interpolation with Sparse and Correlated Received Signal Strength Measurements for Indoor Positioning 基于稀疏和相关接收信号强度测量的室内定位Wi-Fi无线地图插值

2020 IEEE 2nd International Conference on Artificial Intelligence in Engineering and Technology (IICAIET) Pub Date : 2020-09-26 DOI: 10.1109/IICAIET49801.2020.9257857

A. Kiring, H. T. Yew, Y. Y. Farm, Seng Kheau Chung, F. Wong, A. Chekima

{"title":"Wi-Fi Radio Map Interpolation with Sparse and Correlated Received Signal Strength Measurements for Indoor Positioning","authors":"A. Kiring, H. T. Yew, Y. Y. Farm, Seng Kheau Chung, F. Wong, A. Chekima","doi":"10.1109/IICAIET49801.2020.9257857","DOIUrl":"https://doi.org/10.1109/IICAIET49801.2020.9257857","url":null,"abstract":"Wi-Fi based positioning fingerprint offers an accurate solution for indoor positioning techniques. It estimates the coordinates of a user or object by consulting an offline Wi-Fi radio map and searching for the best match of the currently observed Wi-Fi received signal strength (RSS) measurements. The construction of an offline Wi-Fi radio map is a laborious task in a large indoor floor plan. The offline radio map needs frequent maintenance if the data get faulted or need update due to the changes in indoor surroundings. This paper studies the effect of spatial correlation in the densely collected Wi-Fi measurements to enhanced the positioning accuracy. The K-nearest neighbour (KNN) and inverse distance weight (IDW) algorithms were implemented to interpolate the incomplete Wi-Fi radio map. The interpolation error is analysed with and without the correlation in the RSS measurements over different sparsity parameters. It is shown that at some sparsity parameter, the interpolation error reduces by 54% when the correlation exists in the collected Wi-Fi measurements.","PeriodicalId":300885,"journal":{"name":"2020 IEEE 2nd International Conference on Artificial Intelligence in Engineering and Technology (IICAIET)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130264608","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

Estimating the Number of Cameras Required for a Given Classroom for Face-based Smart Attendance System 基于人脸的智能考勤系统中教室所需摄像机数量的估算

2020 IEEE 2nd International Conference on Artificial Intelligence in Engineering and Technology (IICAIET) Pub Date : 2020-09-26 DOI: 10.1109/IICAIET49801.2020.9257817

J. Dargham, A. Chekima, E. Moung, Hock Tze Wong, Seng Kheau Chung

引用次数: 0