2019 Twelfth International Conference on Ubi-Media Computing (Ubi-Media)最新文献_第3页

Automatic Signboard Detection and Semi-Automatic Ground Truth Generation 自动招牌检测和半自动地面真相生成

2019 Twelfth International Conference on Ubi-Media Computing (Ubi-Media) Pub Date : 2019-08-01 DOI: 10.1109/Ubi-Media.2019.00057

Chen Hong, Chih-Yang Lin, T. Shih

引用次数: 3

ICT Curriculum Requirements in the Service Area of Champasak University, Laos 老挝占巴沙大学服务区ICT课程要求

2019 Twelfth International Conference on Ubi-Media Computing (Ubi-Media) Pub Date : 2019-08-01 DOI: 10.1109/Ubi-Media.2019.00070

Suparp Kanyacome, Pitak Paksanondha, Souksan Vilavong, P. Jaikaew

{"title":"ICT Curriculum Requirements in the Service Area of Champasak University, Laos","authors":"Suparp Kanyacome, Pitak Paksanondha, Souksan Vilavong, P. Jaikaew","doi":"10.1109/Ubi-Media.2019.00070","DOIUrl":"https://doi.org/10.1109/Ubi-Media.2019.00070","url":null,"abstract":"This feasibility study investigated the needs of ICT training courses to be used as the primary data for developing an ICT curriculum in the service area, 4 provinces, of Champasak University, Lao PDR. Quantitative methodology was employed using a questionnaire comprising of 51 questions under 24 items. 600 questionnaires were distributed in four provinces and 530 were returned. Data were analyzed using percentage, average value, standard deviations and the One-Way ANOVA analysis. The result illustrated four main topics including the target group characteristics, ICT behavior, ICT skills, ICT course requirements and needs of ICT professionals. Additionally, it was found that 1) the most three preferable ICT courses among respondents are spreadsheet, word processing and website developing, 2) the most ten popular ICT professionals are IT supporter, network administrator, programmer, database administrator, computer aid designer, multimedia creator, website developer, system analyst, CRM / ERP operator and ICT consultant and 3) as many as 82.30% of executives from various organizations had expressed their needs to encourage their staff to increase ICT skill via attending trainings.","PeriodicalId":259542,"journal":{"name":"2019 Twelfth International Conference on Ubi-Media Computing (Ubi-Media)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131709862","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

Structural Relationships Among In-Service Teacher's Behavioral Intention, Perceived Usefulness, Perceived Ease of Use and Online Professional Development System Quality 在职教师行为意向、感知有用性、感知易用性与在线专业发展系统质量的结构关系

2019 Twelfth International Conference on Ubi-Media Computing (Ubi-Media) Pub Date : 2019-08-01 DOI: 10.1109/Ubi-Media.2019.00068

D. Tumenbayar, A. Amarzaya, T. Navchaa

引用次数: 3

A Hybrid Approach for Mobile Phone Clustering with Speech Recordings 基于语音记录的移动电话聚类混合方法

2019 Twelfth International Conference on Ubi-Media Computing (Ubi-Media) Pub Date : 2019-08-01 DOI: 10.1109/Ubi-Media.2019.00047

Mou Wang, Xiao-Lei Zhang, S. Rahardja

{"title":"A Hybrid Approach for Mobile Phone Clustering with Speech Recordings","authors":"Mou Wang, Xiao-Lei Zhang, S. Rahardja","doi":"10.1109/Ubi-Media.2019.00047","DOIUrl":"https://doi.org/10.1109/Ubi-Media.2019.00047","url":null,"abstract":"Acquisition device clustering based on speech recordings is a critical problem in the field of speech forensic, especially for mobile phone clustering (MPC). Previous studies on mobile phone recognition or clustering can be categorized ainly to two approaches. One approach utilizes handcraft features such as Mel-frequency cepstral coefficients (MFCCs), while the other uses learned features from neural networks. In this paper, we propose a hybrid system for MPC. Specifically, we first extract supervectors from MFCCs by a Gaussian mixture model and obtain the deep bottleneck features by a deep auto-encoder network. Then, we feed the two features to spectral clustering respectively, which outputs two low-dimensional vectors by the Laplacian eigen-decomposition of the spectral clustering. Finally, we fuse the two vectors and conduct clustering on the fused feature by k-means. The performance of the proposed method is evaluated on a public corpus—MOBIPHONE. The results show that the proposed method is effective, and moreover, the supervectors and deep bottleneck features provide complementary information of the intrinsic characteristics of the speech recordings recorded by the mobile phones.","PeriodicalId":259542,"journal":{"name":"2019 Twelfth International Conference on Ubi-Media Computing (Ubi-Media)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120947511","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

Effects of Troubleshooting Tasks with Prompt Information on Students' Transfer Performance in Robotics Education 具有提示信息的故障排除任务对机器人教育中学生迁移绩效的影响

2019 Twelfth International Conference on Ubi-Media Computing (Ubi-Media) Pub Date : 2019-08-01 DOI: 10.1109/Ubi-Media.2019.00073

Qiuju Si, Baichang Zhong

引用次数: 0

Non-MPM Mode Coding for Intra Prediction in Video Coding 视频编码中帧内预测的非mpm模式编码

2019 Twelfth International Conference on Ubi-Media Computing (Ubi-Media) Pub Date : 2019-08-01 DOI: 10.1109/Ubi-Media.2019.00034

Taru Kanchan, Minqiang Jiang, N. Ling

引用次数: 0

To Investigate an Instant Translation for Assisting Students' Understandings of Lecture Slides 探讨一种辅助学生理解课堂幻灯片的即时翻译方法

2019 Twelfth International Conference on Ubi-Media Computing (Ubi-Media) Pub Date : 2019-08-01 DOI: 10.1109/Ubi-Media.2019.00072

Chaknarin Kongcharoen

引用次数: 0

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2019 Twelfth International Conference on Ubi-Media Computing (Ubi-Media) Pub Date : 2019-08-01 DOI: 10.1109/ubi-media.2019.00001

引用次数: 0

Clinically Applicable Deep Learning for Diagnosis of Diabetic Retinopathy 深度学习在糖尿病视网膜病变诊断中的临床应用

2019 Twelfth International Conference on Ubi-Media Computing (Ubi-Media) Pub Date : 2019-08-01 DOI: 10.1109/Ubi-Media.2019.00032

Li Yung-Hui, Yeh Nai-Ning, Kartika Purwandari, Latifa Nabila Harfiya

{"title":"Clinically Applicable Deep Learning for Diagnosis of Diabetic Retinopathy","authors":"Li Yung-Hui, Yeh Nai-Ning, Kartika Purwandari, Latifa Nabila Harfiya","doi":"10.1109/Ubi-Media.2019.00032","DOIUrl":"https://doi.org/10.1109/Ubi-Media.2019.00032","url":null,"abstract":"Diabetic retinopathy (DR) is the kind of diabetes complication that affects eyes and can damage the blood vessels inside the retina. To diagnose the strength of DR disease based on examination of the retina. Nowadays, the common diagnosis process asks for experienced ophthalmologists to inspect both fundus image and OCT (optical coherence tomography) images, which is time-consuming and not very convenient for remote rural inhabitants. The research purpose in this paper is to propose a new paradigm of automatic DR diagnosis by using artificial intelligence and cloud computing. Inside the DCNN, we changed max-pooling layers with factional max-pooling. We trained using support vector machine (SVM) to learn the underlying boundary of distribution of each category. Using that proposed method, we achieved the results of the recognition up to 86.17%. We also develop an iPhone APP. It called 'Deep Retina' that equipped with a handheld ophthalmoscope, a layman can take fundus images and perform the diagnosis automatically without intervention from ophthalmologists. It is a practically applicable telemedicine system which benefits the home care, remote medical care, and self-examination.","PeriodicalId":259542,"journal":{"name":"2019 Twelfth International Conference on Ubi-Media Computing (Ubi-Media)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115205390","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

Application of Hammerstein-Wiener Recurrent Neural Network to Accelerate Time-Series Skyline Queries Hammerstein-Wiener递归神经网络在时间序列Skyline查询中的应用

2019 Twelfth International Conference on Ubi-Media Computing (Ubi-Media) Pub Date : 2019-08-01 DOI: 10.1109/Ubi-Media.2019.00056

Chee-Hoe Loh, Sheng-Min Chiu, Yi-Chung Chen

引用次数: 0