2019 IEEE 10th International Conference on Awareness Science and Technology (iCAST)最新文献_第6页

Object Dynamics from Video Clips using YOLO Framework 对象动态从视频剪辑使用YOLO框架

2019 IEEE 10th International Conference on Awareness Science and Technology (iCAST) Pub Date : 2019-10-01 DOI: 10.1109/ICAwST.2019.8923520

Wei-Hsiang Chung, G. Chakraborty, R. Chen, Cédric Bornand

引用次数: 1

Proposal on the Disaster Information System based on QoS Controls of Heterogeneous Radio Networks and Radio Atmosphere 基于异构无线网络和无线电大气QoS控制的灾害信息系统研究

2019 IEEE 10th International Conference on Awareness Science and Technology (iCAST) Pub Date : 2019-10-01 DOI: 10.1109/ICAwST.2019.8923382

Noriki Uchida, Kanji Nakano, Chiho Takegawa, Tomoyuki Ishida, Y. Shibata

引用次数: 0

Physics Projection 物理投影

2019 IEEE 10th International Conference on Awareness Science and Technology (iCAST) Pub Date : 2019-10-01 DOI: 10.1109/ICAwST.2019.8923455

N. Iwahashi

引用次数: 2

Latent Semantic Analysis and Winnowing Algorithm Based Automatic Japanese Short Essay Answer Grading System Comparative Performance 基于潜在语义分析和筛选算法的日语短文答案自动评分系统比较性能

2019 IEEE 10th International Conference on Awareness Science and Technology (iCAST) Pub Date : 2019-10-01 DOI: 10.1109/ICAwST.2019.8923226

A. A. P. Ratna, Lea Santiar, Ihsan Ibrahim, Prima Dewi Purnamasari, Dyah Lalita Luhurkinanti, Adisa Larasati

{"title":"Latent Semantic Analysis and Winnowing Algorithm Based Automatic Japanese Short Essay Answer Grading System Comparative Performance","authors":"A. A. P. Ratna, Lea Santiar, Ihsan Ibrahim, Prima Dewi Purnamasari, Dyah Lalita Luhurkinanti, Adisa Larasati","doi":"10.1109/ICAwST.2019.8923226","DOIUrl":"https://doi.org/10.1109/ICAwST.2019.8923226","url":null,"abstract":"In this paper, advanced of research on e-learning application for short essay grading system had been conducted. This system was developed based on the needs of Japanese Language study program for short essay examination that required time and focus for finishing those tasks. Human abilities are limited by their energy, so that cognitive assessment objectivity could decrease in line with the elapsed time. Latent Semantic Analysis (LSA) and Winnowing Algorithm are two methods used in developing the automatic short essay answer grading system called SIMPLE-O by Department of Electrical Engineering, Universitas Indonesia. These two algorithms are chosen based on its ability to do semantic analytic without the needs of understanding about the characteristic of its languages. LSA used Singular Value Decomposition (SVD) as its main method, besides Winnowing algorithm is based on fingerprinting. These algorithms are applied into the automatic system to assess the Japanese language exam with close results between them with average accuracy of Winnowing algorithm is only 1.06% lower than LSA that could gain 87.78%. These two algorithms should be suitable for grading short essay answer in Japanese language.","PeriodicalId":156538,"journal":{"name":"2019 IEEE 10th International Conference on Awareness Science and Technology (iCAST)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127950979","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

Exploration of Fast Edible Oil Classification Using Infrared Spectrum, Machine Learning, and Chemometrics 利用红外光谱、机器学习和化学计量学探索食用油的快速分类

2019 IEEE 10th International Conference on Awareness Science and Technology (iCAST) Pub Date : 2019-10-01 DOI: 10.1109/ICAwST.2019.8923564

H. Chien, An-Tong Shih, Yuh-Min Tseng

{"title":"Exploration of Fast Edible Oil Classification Using Infrared Spectrum, Machine Learning, and Chemometrics","authors":"H. Chien, An-Tong Shih, Yuh-Min Tseng","doi":"10.1109/ICAwST.2019.8923564","DOIUrl":"https://doi.org/10.1109/ICAwST.2019.8923564","url":null,"abstract":"Your food is your medicine. Edible oils take important parts in people’s daily food, and taking good-quality oils plays an important role to the health. However, as the supply cannot satisfy the market demand and some good-quality edible oils are expensive, many incidents of adulterated and fraudulent edible oils have been reported. In Taiwan, some common adulterated edible oils and fraudulent edible oils incidents include (1) mixing good-quality oils with low-quality oils, but labeling the products as high-quality products; (2) importing cheap and low-quality oils abroad, but labeling them as good-quality ones; and (3) fraudulent labeling with wrong ingredients. Even though high-tech laboratories can differentiate the products and identify ingredients, the popular technologies demand high costs in terms of money, time, and man power. The general cannot easily access these technologies and should only depend on occasional reports from the governments or from some trusted institutions. Furthermore, the jurisdiction process takes a long time, and the punishment is relatively light, compared to the illegal interests. It is, therefore, crucial to develop new technologies that can effectively and efficiently differentiate different edible oils or even identifying concerned ingredients in edible oils. Due to dropping prices of infrared spectroradiometers and advances in machine technologies and chemometrics, we would like to integrate these technologies to develop a process that can fast and effectively differentiate different edible oils and even identify suspicious ones. The preliminary experiments show some promising results and potential. We also point out some challenges for future work.","PeriodicalId":156538,"journal":{"name":"2019 IEEE 10th International Conference on Awareness Science and Technology (iCAST)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128330966","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

Tissue Recognition in Spinal Endoscopic Surgery Using Deep Learning 利用深度学习在脊柱内窥镜手术中的组织识别

2019 IEEE 10th International Conference on Awareness Science and Technology (iCAST) Pub Date : 2019-10-01 DOI: 10.1109/ICAwST.2019.8923143

Peng Cui, Zhe Guo, Jianbo Xu, Tianhui Li, Yuchen Shi, Wenxi Chen, Tao Shu, Jun Lei

{"title":"Tissue Recognition in Spinal Endoscopic Surgery Using Deep Learning","authors":"Peng Cui, Zhe Guo, Jianbo Xu, Tianhui Li, Yuchen Shi, Wenxi Chen, Tao Shu, Jun Lei","doi":"10.1109/ICAwST.2019.8923143","DOIUrl":"https://doi.org/10.1109/ICAwST.2019.8923143","url":null,"abstract":"Lumbar intervertebral disc herniation is a common human disease. Nowadays, minimally invasive surgery for the treatment of lumbar disc herniation has been widely carried out. However, endoscopic spine surgery is usually performed by senior and experienced spine surgeons, because serious complications may occur once important tissues damage occurs during surgery. In this research, we developed an algorithm based on YOLOv3 framework to recognize nerve and/or dura mater images under spinal endoscopy. We collected video of surgery from 15 patients with lumbar disc herniation who underwent endoscopic spinal surgery. A total of 4829 images were obtained from these surgery videos, we divided the images into training dataset and test dataset. The training dataset consists of 1385 images of 5 patients, all of which contained images of nerve and/or dura mater. The test dataset consists of 3444 images of 15 patients, 2546 of them contain images of nerve and/or dura mater, and 898 images without nerve and/or dura mater. Three senior endoscopic spine surgeons labeled the nerve and/or dura mater in the training dataset. The results showed that the sensitivity, specificityand accuracy of nerve and dura mater recognition reached 94.27%, 97.55%and 95.12%, respectively. The performance of computeraided diagnosis (CAD) indicates that the system can be effectively identified and recognize nerve and dura mater. The CAD system will be used in endoscopic spinal surgery to assist the endoscopists to identify and recognize nerve and dura mater in the future.","PeriodicalId":156538,"journal":{"name":"2019 IEEE 10th International Conference on Awareness Science and Technology (iCAST)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124493138","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: 5

Quality Enhancement of P2P using Interested Clusters in the P4P Architecture 在P4P架构中使用感兴趣集群提高P2P的质量

2019 IEEE 10th International Conference on Awareness Science and Technology (iCAST) Pub Date : 2019-10-01 DOI: 10.1109/ICAwST.2019.8923493

Shu-Chin Wang, Hsiu-Wei Hsu, Hung-Hsuan Wang, Hsin-Hung Pan, Po-Chien Lin

引用次数: 0

Image Steganographic Scheme Based on Doublelayer Magic Matrix 基于双层幻矩阵的图像隐写方案

2019 IEEE 10th International Conference on Awareness Science and Technology (iCAST) Pub Date : 2019-10-01 DOI: 10.1109/ICAwST.2019.8923506

Jau-Ji Shen, Chin-Feng Lee, Yen-Hsi Li, Somya Agrawal

引用次数: 3

Risk-Sensitive Portfolio Management by using Distributional Reinforcement Learning 基于分布式强化学习的风险敏感投资组合管理

2019 IEEE 10th International Conference on Awareness Science and Technology (iCAST) Pub Date : 2019-10-01 DOI: 10.1109/ICAwST.2019.8923223

Thammasorn Harnpadungkij, Warasinee Chaisangmongkon, P. Phunchongharn

引用次数: 1

The Data Analysis for the Influence of Cross-cultural Training on the Adaptability of Foreign Workers 跨文化培训对外籍员工适应性影响的数据分析

2019 IEEE 10th International Conference on Awareness Science and Technology (iCAST) Pub Date : 2019-10-01 DOI: 10.1109/ICAwST.2019.8923524

Shu-Chin Wang, Wei-Shu Hsiung, Yi-Syuan Lin, Rong-Chung Chen, Hsin-Hung Pan

{"title":"The Data Analysis for the Influence of Cross-cultural Training on the Adaptability of Foreign Workers","authors":"Shu-Chin Wang, Wei-Shu Hsiung, Yi-Syuan Lin, Rong-Chung Chen, Hsin-Hung Pan","doi":"10.1109/ICAwST.2019.8923524","DOIUrl":"https://doi.org/10.1109/ICAwST.2019.8923524","url":null,"abstract":"Industrialization has brought many foreign workers into a country, and this situation is an inevitable event. The inflow of foreign workers may help to resolve unnecessary vacancies rejected by local workers. However, the influx of foreign workers has actually brought many effects that affect the country’s economic growth. With the booming economy in Taiwan, the industrial structure is undergoing more and more changes. Because foreign workers are different from our culture, education and training programs should be fully prepared. Therefore, while training foreign workers, there should be a concept of \"intercultural training.\" Because data analysis is the process of systematically applying statistical and/or logical techniques to describe and illustrate, condense and recap, and evaluate data. Therefore, this study will focus on \"intercultural training\" for foreign workers. This study used relationship analysis, factor analysis and regression analysis as statistical tools. The study found that ethnic cultural differences and cross-cultural training have had a positive impact on overseas adoption of foreign workers. This research hopes that this research can provide better education, training, acceptance, and more reference for government, enterprises, human resources agents and other related units to find comparable work talents.","PeriodicalId":156538,"journal":{"name":"2019 IEEE 10th International Conference on Awareness Science and Technology (iCAST)","volume":"173 6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132906274","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