2017 10th International Conference on Ubi-media Computing and Workshops (Ubi-Media)最新文献_第4页

The awareness of correct english pronunciations of business english major students at phetchabun rajabhat university 比恰布大学商务英语专业学生的英语正确发音意识

2017 10th International Conference on Ubi-media Computing and Workshops (Ubi-Media) Pub Date : 2017-08-01 DOI: 10.1109/UMEDIA.2017.8074122

Jeerapan Phomprasert

{"title":"The awareness of correct english pronunciations of business english major students at phetchabun rajabhat university","authors":"Jeerapan Phomprasert","doi":"10.1109/UMEDIA.2017.8074122","DOIUrl":"https://doi.org/10.1109/UMEDIA.2017.8074122","url":null,"abstract":"Correct English pronunciation is an essential key to ensure successful communication between speakers (Ellis, 1997). When learning to pronounce it is also important to take into account the effect the learners native language will have on the speakers ability to pronounce certain sounds within the second language. According to Kenworthy (1987) only “one or two features are enough to suggest a particular language showing through their (the speakers) spoken English”. This mispronunciation no matter how small it may be can be enough to cause confusion and misunderstanding in a conversation to occur. In Thailand the current level of correct pronunciation and language proficiency is very low. As a result, there has been many lost business opportunities for Thailand and Thai people. Also when a Thai person realizes that they are pronouncing a word incorrectly they lose the confidence to speak with foreigners because “they might make a mistake”. This dilemma is confounded further when speaking to people who have never studied a foreign or second language before, as they are easily irritated if they cannot quickly understand what the non-native speaker is trying to convey (Garrigues, 1999). The results showed that 2nd year students had the most correct English pronunciation when compared to the 1st year and 3rd year students. All students however had a major English pronunciation problem when it came to final sounds with /z/ and /d/ as the students were not aware of the phonological rules in English when they completed the Detect Me English words test.","PeriodicalId":440018,"journal":{"name":"2017 10th International Conference on Ubi-media Computing and Workshops (Ubi-Media)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132700896","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

Meerkat: A framework for developing presence monitoring software based on face recognition Meerkat:一个开发基于人脸识别的状态监控软件的框架

2017 10th International Conference on Ubi-media Computing and Workshops (Ubi-Media) Pub Date : 2017-08-01 DOI: 10.1109/UMEDIA.2017.8074096

Paspana Assarasee, Worarat Krathu, Tuul Triyason, V. Vanijja, C. Arpnikanondt

{"title":"Meerkat: A framework for developing presence monitoring software based on face recognition","authors":"Paspana Assarasee, Worarat Krathu, Tuul Triyason, V. Vanijja, C. Arpnikanondt","doi":"10.1109/UMEDIA.2017.8074096","DOIUrl":"https://doi.org/10.1109/UMEDIA.2017.8074096","url":null,"abstract":"Presence monitoring is the feature that recognizes presence of a person or persons automatically. It improves upon both manual and automatic presence verification process by allowing unobtrusive and continuous monitoring rather than performing a discrete check at the beginning and/or at the end of the participation period. The software with presence monitoring capability is particularly useful in today's higher education settings where various soft skills must be continuously developed, monitored and assessed. This paper proposes a framework-called Meerkat-for developing presence monitoring software. The framework relies on the face recognition technology from Microsoft Cognitive Services as a convenient tool to produce web-based APIs that can easily be used to develop web applications for presence monitoring. In a case study, an application has been developed as a proof of concept to confirm the integration between the presence monitoring feature and the Face API of Microsoft Cognitive Services. Furthermore, to evaluate the performance of the application, an error analysis on this application has been carried out that shows a satisfactory performance. As Meerkat is based on face recognition which extends the Microsoft Cognitive Services, the results confirm that most of the errors highly correlate with the image quality and the posture of the faces.","PeriodicalId":440018,"journal":{"name":"2017 10th International Conference on Ubi-media Computing and Workshops (Ubi-Media)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132033979","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

Smart tag tracking for livestock farming 用于畜牧业的智能标签跟踪

2017 10th International Conference on Ubi-media Computing and Workshops (Ubi-Media) Pub Date : 2017-08-01 DOI: 10.1109/UMEDIA.2017.8074146

Soontharee Koompairojn, Chakrit Puitrakul, Thailand Bangkok, Nattawat Riyagoon, S. Ruengittinun

{"title":"Smart tag tracking for livestock farming","authors":"Soontharee Koompairojn, Chakrit Puitrakul, Thailand Bangkok, Nattawat Riyagoon, S. Ruengittinun","doi":"10.1109/UMEDIA.2017.8074146","DOIUrl":"https://doi.org/10.1109/UMEDIA.2017.8074146","url":null,"abstract":"The problem of the outdoor farming of livestock are losing of the livestock or be stolen. Owing to such problem, we hereby study, research and develop a Smart Tag for livestock farming or STLiF. In this research, there are three processes: system design, implementation of STLiF, and testing. In the first step, we design the Smart Tag by assembling IoT (Internet of Thing) devices (GPS, 3G, and Arduino) within the livestock Tag. The GPS Module receive a value of a position from the nearest satellites. The 3G Module & SIM are used for sending data to Database Server by 3G signal. The Arduino Microcontroller board are used as a controller. Then an applications on smartphone gets the data from Database Server, analyzes and indicates results. Our application can track the latest position of Livestock, show its position with Smart Tag's position, history of its movement in specific period, and then warn us when it gets out of the allowed area. The values mentioned in this research comprise latitude, longitude, date time, and the ID of Smart Tag. Finally we evaluate the Smart Tag by to testing with goat at a farm in order to make sure that Smart Tag work properly.","PeriodicalId":440018,"journal":{"name":"2017 10th International Conference on Ubi-media Computing and Workshops (Ubi-Media)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122017170","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: 14

Applied internet of thing for smart hydroponic farming ecosystem (HFE) 物联网在智能水培农业生态系统中的应用

2017 10th International Conference on Ubi-media Computing and Workshops (Ubi-Media) Pub Date : 2017-08-01 DOI: 10.1109/UMEDIA.2017.8074148

S. Ruengittinun, Sitthidech Phongsamsuan, Phasawut Sureeratanakorn

{"title":"Applied internet of thing for smart hydroponic farming ecosystem (HFE)","authors":"S. Ruengittinun, Sitthidech Phongsamsuan, Phasawut Sureeratanakorn","doi":"10.1109/UMEDIA.2017.8074148","DOIUrl":"https://doi.org/10.1109/UMEDIA.2017.8074148","url":null,"abstract":"In the present, Thailand is developing to fully apply the Internet of things (IoT) [12] into daily life because IoT is a new trend of the technology and it is very popular today. The IoT helps us link objects and mechanisms to the internet for remote control. In addition, Thailand focuses on agriculture because Thailand is an agricultural country and it is also the main occupation of people in the country, which makes agriculture have many formats in Thailand, but hydroponics [5] [11] is an interesting new format that uses less area than others. Although hydroponics uses less space than conventional planting, it can provide many products for the farmer. In hydroponic farming, it is difficult to plant and manage if you aren't a professional farmer or don't have good knowledge about farming. For some it can be very hard to do hydroponic farming. This paper will propose a Hydroponic Farming Ecosystem (HFE) that uses IoT devices to monitor humidity, nutrient solution temperature, air temperature, PH and Electrical Conductivity (EC). The HFE is made to support non-professional farmers, city people who have limited knowledge in farming and people who are interested in doing vertical planting in very small areas in the city such as building tops, balconies of small rooms in high-rise buildings, and in small office spaces. To make the system easy to control and easy to use, we have an android application to control IoT devices in the HFE and alarm users when their farm is in an abnormal situation.","PeriodicalId":440018,"journal":{"name":"2017 10th International Conference on Ubi-media Computing and Workshops (Ubi-Media)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121760274","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: 57

A comparison of teaching tools in knowledge building classrooms 知识建设课堂教学工具的比较

2017 10th International Conference on Ubi-media Computing and Workshops (Ubi-Media) Pub Date : 2017-08-01 DOI: 10.1109/UMEDIA.2017.8074141

Qingling Pi, Xiaojun Qiao

引用次数: 0

Distributed power adjustment scheme in ultra dense WiFi networks 超密集WiFi网络中的分布式功率调节方案

2017 10th International Conference on Ubi-media Computing and Workshops (Ubi-Media) Pub Date : 2017-08-01 DOI: 10.1109/UMEDIA.2017.8074097

Chin-Ya Huang, Wei-Tsang Teng, Kai-Huan Shen

引用次数: 0

Learning VR game development towards software basic profile 学习VR游戏开发软件基本概况

2017 10th International Conference on Ubi-media Computing and Workshops (Ubi-Media) Pub Date : 2017-08-01 DOI: 10.1109/UMEDIA.2017.8074128

Waraporn Jirapanthong, Karuna Yampray, D. Tancharoen

引用次数: 0

An image watermarking method in HSL color model 一种基于HSL颜色模型的图像水印方法

2017 10th International Conference on Ubi-media Computing and Workshops (Ubi-Media) Pub Date : 2017-08-01 DOI: 10.1109/UMEDIA.2017.8074101

K. Thongkor, T. Amornraksa

引用次数: 1

Discovery-Enriched curriculum: A text mining approach for assessing students' discoveries 发现丰富课程:评估学生发现的文本挖掘方法

2017 10th International Conference on Ubi-media Computing and Workshops (Ubi-Media) Pub Date : 2017-08-01 DOI: 10.1109/UMEDIA.2017.8074123

Raymond Y. K. Lau

{"title":"Discovery-Enriched curriculum: A text mining approach for assessing students' discoveries","authors":"Raymond Y. K. Lau","doi":"10.1109/UMEDIA.2017.8074123","DOIUrl":"https://doi.org/10.1109/UMEDIA.2017.8074123","url":null,"abstract":"One important pedagogical approach is to motivate students actively learn and discover new knowledge by using contemporary instructional design methods. This is in sharp contrast to another approach that forces students to take a passive rote-learning strategy. To promote active learning, CityU Hong Kong adopted the so-called discovery-enriched curriculum (DEC) pedagogical approach to enhance student learning at the tertiary education setting. While various curriculum design and instructional methods have been explored in recent years, an effective way to assess students' novel discoveries and creativity remains a great challenge. This paper investigates into a relatively new text analytics computational approach to facilitate instructors of identifying and assessing the concrete evidences of students' achievements under a DEC-based pedagogical approach. In particular, we illustrate a topic modeling-based text mining method which can extract the hidden intents and creative ideas of students embedded in their project work. According to our best knowledge, this is one of the few successful research work of applying a topic modeling method to enhance the assessment of students' achievements under a DEC pedagogical approach. The practical application and implications of our work is that educational practitioners can apply the proposed computational method to facilitate the assessment of students' novel discoveries.","PeriodicalId":440018,"journal":{"name":"2017 10th International Conference on Ubi-media Computing and Workshops (Ubi-Media)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124198258","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

Geo-Information platform for visualisation, analysis and optimization for aviation 用于航空可视化、分析和优化的地理信息平台

2017 10th International Conference on Ubi-media Computing and Workshops (Ubi-Media) Pub Date : 2017-08-01 DOI: 10.1109/UMEDIA.2017.8074111

Tanawat Chailungka, P. Horma, Chonbadee Juthamanee, Wasanchai Vongsantivanich, S. Chaimatanan

引用次数: 1