Browsing by Author "Yuan, Shyan-Ming"

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A Complete System for Analysis of Video Lecture Based on Eye Tracking
(2018-01-01)
Zhang, Xuebai
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Yuan, Shyan-Ming
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Chen, Ming-Dao
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Liu, Xiaolong
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資訊工程學系
An eye tracking technology provides a faster and more intuitive interface to explore the learner psychology. In this paper, with the aim of assisting researcher to expand the knowledge of video lectures, we present an efficient system named VLEYE based on eye tracking. The system allows gathering the dynamic areas of interest (AOIs) and combining them with eye movement data. There are mainly three modules in the proposed system, including "eye movement recorder," "dynamic AOI module," and "video analyzer." The "eye movement recorder" records the eye movement data by eye tracking device, where mouse cursor control function is applied to support the use of low-cost devices. The AOIs could be drawn manually or detected and tracked by the provided algorithm automatically in the "dynamic AOI module." The "video analyzer" provides various visualization modes to view and compare the eye movement information for single or multiple subject, as well as statistical charts and detail fixation information. In addition to performance testing, a case study was conducted to verify the applicability of the proposed system. We demonstrate that this system works well and is an essential step forward in efficiently helping studies to better understand learner cognitive processes for dynamic stimuli within video.
A CUSTOMIZED AND PORTABLE COMPONENT-BASED FRAMEWORK FOR INTELLIGENT HOMECARE SYSTEM DESIGN WITH VIDEO AND PHYSIOLOGICAL MONITORING MACHINERIES
(2011-10-01)
Chen, Yen-Lin
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Chiang, Chuan-Yen
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Yu, Chao-Wei
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Yuan, Shyan-Ming
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Hong, Zeng-Wei
This study proposes a customized and reusable component-based design framework based on the UML modeling process for intelligent home healthcare systems. All the proposed functional components are reusable, replaceable, and extensible for the system developers to implement customized home healthcare systems addressing different demands of patients and caregivers from healthcare monitoring aspects. The prototype design of the intelligent healthcare system based on these proposed components can provide the following features: (1) monitoring and recording videos of rehabilitation situations and patient behavior using multiple CCD cameras, which can be stored accordingly in an archive; (2) recording the patient's physiological data and corresponding treatment plan, which can be stored in an XML archiving database for caregivers' review; (3) automatically alerting patients to remind them of medication schedules or treatment plans, while recording the patient's treatment situations; (4) caregivers monitoring videos and physiological records of the patient's rehabilitation using handheld mobile devices via the Internet or wireless communication networks; and (5) caregivers and patients establishing alert mechanisms for the patients' physiological warning states. If the patient's physiological state suddenly deteriorates, the module would immediately alert caregivers by sending notification messages to their remote mobile devices or web browsers.
A fault-tolerant ONVIF protocol extension for seamless surveillance video stream recording
(2018-01-01)
Lin, Chia-Feng
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Chiao, Hsin-Ta
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Sheu, Ruey-Kai
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Chang, Yue-Shan
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Yuan, Shyan-Ming
ONVIF (Open Network Video Interface Forum) is an importance industrial standard for the video surveillance field. There are over 8000 ONVIF-compliant IP cameras (i.e., ONVIF NVT) and network video recorders (i.e., ONVIF NVS) from various vendors listed on the ONVIF official website. However, because the current ONVIF specifications do not support any fault-tolerant functions to handle NVS failure, in this paper we propose a fault tolerant solution for ONVIF NVS and try to minimize the modifications to the current ONVIF specifications in the proposed design. Besides, we also propose an extension to the ONVIF NVT for preventing the loss of captured NVT video data during the failover procedure triggered by NVS failure. Finally, we evaluate the following four performance metrics of the proposed fault-tolerant ONVIF surveillance system: the maximal video local cache time supported by an NVT, the response time for accessing an ONVIF web service, the interrupt duration of video recording due to NVS failure, and the live video black out time observed by a video management system. Since the experimental results are all within the acceptable range for a real fault-tolerant video surveillance system in the real world, the experiences provided by this paper is a good reference for improving the fault-tolerant capabilities of the ONVIF video surveillance systems. (C) 2017 Elsevier B.V. All rights reserved.
A Fault-Tolerant ONVIF Standard Extension for Cloud-Based Surveillance Systems
(2017-01-01)
Chiao, Hsin-Ta
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Lin, Chia-Feng
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Chang, Yue-Shan
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Sheu, Ruey-Kai
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Chen, Lung-Pin
ONVIF (Open Network Video Interface Forum) is a popular standard for the video surveillance industries. Since ONVIF specifications do not provide fault-tolerant functions to deal with NVT (Network Video Transmitter) or NVS (Network Video Storage) failure, we propose a fault-tolerant solution for both ONVIF NVT and NVS in this paper. The proposed fault-tolerant extension is also possible to be deployed over cloud-based environments, such as IaaS (Infrastructure as a Service) platforms. The proposed solution is evaluated by the following three performance metrics: the access response time for ONVIF web services, the video recording interrupt duration due to NVS failure, and the video black out time of the surveillance video monitoring system. The experimental results show that all the metrics are within the acceptable range for a real world video surveillance system.
A file-deduplicated private cloud storage service with CDMI standard
(2016-02-01)
Liu, Xiao-Long
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Sheu, Ruey-Kai
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Yuan, Shyan-Ming
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Wang, Yu-Ning
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資訊工程學系
The emergence of cloud environments makes users convenient to synchronize files across platform and devices. However, the data security and privacy are still critical issues in public cloud environments. In this paper, a private cloud storage service with the potential for security and performance concerns is proposed. A data deduplication scheme is designed in the proposed private cloud storage system to reduce cost and increase the storage efficiency. Moreover, the Cloud Data Management Interface (CDMI) standard is implemented in the proposed system to increase the interoperability. The proposed service provides an easy way to for user to establish the system and access data across devices conveniently. The experiment results also show the superiority of the proposed interoperable private cloud storage service in terms of data transmission and storage efficiency. By comparing with the existing system Gluster Swift, the proposed system is demonstrated much suitable for the service environment where most of the transmitted data are small files. (C) 2015 Elsevier B.V. All rights reserved.
A flexible public cloud based testing service for heterogeneous testing targets
(2014)
Hsieh, Sheng-Jen
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Luo, Guo-Heng
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Yuan, Shyan-Ming
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Chen, Hsiao-Wei
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資訊工程學系
To guarantee quality of the service, services need to be tested to ensure the service quality. But most of existing testing service can\'t provide multi-type testing and deploy testing clients concurrently in different regions. To overcome these problems, in this paper, a cloud testing service combine cloud computing and multi-testing tools is proposed. Using the proposed service user can deploy the testing clients in different countries to access the testing targets, when the testing is finish user can easily get both of detail and summarized test results. To show the capabilities of proposed service, an experiment is performed. The results shows that the proposed service can guarantee testing quality, automatically deploy testing clients concurrently in different region, get latency from different countries, and perform press testing.
A framework for scalable cloud video recorder system in surveillance environment
(2012)
Lin, Chia-Feng
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Yuan, Shyan-Ming
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Leu, Muh-Chyi
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Tsai, Ching-Tsorng
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資訊工程學系
In recent years, video surveillance industry has encountered huge evolution. First, the IP based video cameras are gradually replacing the market share of Closed-circuit television (CCTV). Second, hardware and software based network video record come to market to support more amounts of camera sources. However, pure NVR hardware or software which is installed on single physical machine may reach maximum storage or throughput limitation due to predefined resource limitation. In this paper, we proposed a prototype of cloud based video recorder system under Infrastructure as a Service (IaaS) abstraction layer in cloud computing domain. This system provides scalable video recording, backup and monitoring features. Furthermore, this system was implemented using Hadoop distributed file system to store video streaming. In this way, Map / Reduce mechanism could be used to support intelligent video analysis tasks. The paper shares a good experience while design unlimited resource video recording system.
A Fully-Protected Large-Scale Email System Built on Map-Reduce Framework
(2010)
Pham, Duy-Phuong
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Yuan, Shyan-Ming
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Jou, Emery
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資訊科學與工程研究所
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Institute of Computer Science and Engineering
Running an email system with full protection from spam and viruses has always been a pain for any system administrator. The problem becomes more severe for those who are responsible for large number of mail-boxes with huge amount of data in a large-scale email system. By using MapReduce framework, which is designed for distributed processing of large data sets on clusters of computers, this paper proposes a solution of building a large-scale email system with complete protection from spam and viruses.
A Generic Publish/Subscribe Framework for Peer-to-Peer Environment
(2009)
Chien, Shih-Chiang
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Kao, Yung-Wei
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Yuan, Shyan-Ming
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資訊科學與工程研究所
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Institute of Computer Science and Engineering
At present, the structured P2P algorithms have been proposed frequently. Consequently, the P2P application developers need to learn different API semantics. It causes additional efforts of switching to different P2P topologies for P2P applications. Moreover, it is difficult for the developers to evaluate the performance of an application based on a particular underneath P2P APIs. In this research, a novel P2P framework is proposed to assist in developing P2P applications by using various structured P2P protocols and P2P pub/sub algorithms. We construct the structured P2P functional blocks, including network communication components, P2P topology maintenance and routing, network bootstrapping, as well as pluggable pub/sub services in our system. By Comparing to other P2P libraries and platforms, our framework achieves a great success on providing a flexible and extensible development platform.
A Hadoop based Web log Analysis System
(2014-01-01)
Wang, Chen-Hau
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Tsai, Ching-Tsorng
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Fan, Chia-Chen
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Yuan, Shyan-Ming
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資訊工程學系
In recent years, cloud computing has been an important issue in the Field of research. Cloud computing employs distributed storage and distributed computing technology to achieve a large number of stored data, as well as fast data analysis and processing. As the rapid development of Internet technology, digital data showing explosive growth, the face of massive data processing, the traditional text software and relational database technology has been facing a bottleneck, presented the results are not very satisfactory. For this problem, the concept of cloud computing is a more appropriate choice. In this paper, based on the architecture of Hadoop with HDFS (Hadoop Distributed File System) and Hadoop NlapRecluce software framework and Pig Latin language, we design and implement an enterprise Web log analysis system. Experimental results, by analyzing daily Web log records, we get Application Server traffic trends, performance of program statistical reports, and performance reports of different intervals and different actions of program by user request. The main purpose of this system is to assist system administrators to quickly capture and analyze data hidden in the massive potential value, thus providing an important basis for business decisions.
A low-cost, high-availability P2P storage scheme with regenerating code that combines caching methods
(2012)
Chen, Yu-Liang
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Yuan, Shyan-Ming
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資訊工程學系
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Department of Computer Science
Peer-to-peer (P2P) storage systems are expected to be fast, fault-tolerant, scalable, and reliable. Thus, high data availability is an essential feature of P2P storage systems. In this article, we present a scheme that utilizes a regenerating code (RC) with caching to improve the performance of content services provided by P2P storage systems. Erasure coding is commonly employed to support high availability, but this technique requires the original file to produce redundant data. In contrast, RC solves the problem by collecting the encoded information. However, RC requires more peers to decode the blocks, which is difficult in a P2P environment because more peers must simultaneously remain active to hold the file blocks. Based on the RC, we store the information for a peer that has recently accessed blocks and utilized the data in the peer's LRU cache to increase the access performance and reduce the encoding cost. We carried out a series of experiments with different cache sizes under various levels of P2P availability. The results show that our scheme can outperform the traditional RC system in terms of access performance, allowing access at least 83% of the time, while also achieving a lower cost.
A MOM-based home automation platform
(2007)
Chen, Chun-Yuan
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Chiu, Chi-Huang
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Yuan, Shyan-Ming
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資訊工程學系
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Department of Computer Science
While there have been many home networking technologies such as UPnP and INSTEON, appliances supporting different home networking technologies cannot collaborate to finish Home Automation (HA). Although many studies of interoperability among home networking technologies have been done, researches on further HA in heterogeneous environments are still lacking. This paper proposes the MOM-based Home Automation Platform (MHAP), which accomplishes event-driven HA in incompatible home networks. MHAP is independent of any home networking technology and integrates home networking technologies in the home gateway. For users, MHAP provides the easy-to-use and standardized way to configure complex HA scenarios by rules. Through introducing Message Oriented Middleware (MOM) and Open Service Gateway Initiative (OSGi), MHAP offers reliable automatic operations, fault tolerant and reconfigurable HA, high extensibility and large scalable collaboration among appliances, other MHAP gateways and Internet services.
A New Cloud Storage Support and Facebook Enabled Moodle Module
(2014-01-01)
Daraghmi, Eman Yasser
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Hsiao, Cheng-Hsun
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Yuan, Shyan-Ming
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資訊科學與工程研究所
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Institute of Computer Science and Engineering
With Moodle a web based interface supporting a wide range of activities including forums, contents, and assignments is provided to assist both the teachers and the students. However, limitations of the file-size acceptable for uploads, weakness in the assessment procedure, complicated task of replacing an existing file, and the lowest visiting rate of the traditional discussion module are some major deficiencies in the traditional Moodle module. Thus, we propose a new Moodle module integrating both the cloud storage services and Facebook with the traditional Moodle module to cover the mentioned shortcomings. The module provides a straightforward uploading-function to allow, with only few seconds, uploading several large-size files simultaneously without any restriction on the files-size. The new module also offers an assessment-function that supports the web browsing of the files being uploaded to assist teachers, without the need to download and save each assignment separately, in checking and grading the submitted assignments directly via any web browser. The proposed module also integrates the Moodle with Facebook to increase the visiting rate of the traditional discussion Moodle module; hence, increasing the students\' motivation to ask questions and the interaction among the students. The performance and the usability of the new module was evaluated and promising results were obtained.
A novel reversible data hiding scheme based on AMBTC compression technique
(2015-06-01)
Lin, Chia-Chen
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Liu, Xiao-Long
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Tai, Wei-Liang
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Yuan, Shyan-Ming
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資訊工程學系
Data hiding encompasses a wide range of applications for embedding messages in content. However, hiding data inevitably destroys the host image, even though the distortion is imperceptible. To enhance the hiding capacity and maintain the quality of the host image after embedding hidden data, in this paper, we present a high payload reversible data hiding scheme that is based on the absolute moment block truncation coding (AMBTC) compression domain. We explore the redundancy in a block of AMBTC-compressed images to determine if a block is embeddable or non-embeddable. Next, we create four disjoint sets for embeddable blocks to embed data using different combinations of the mean value and the standard deviation. Performance comparisons with other BTC-based schemes are provided to demonstrate the superiority of the proposed scheme.
A P2P Auto-Recover Method for the Factory Data of Cable Modem over the HFC Network
(2012)
Chen, Yu-Liang
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Luo, Guo-Heng
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Chang, Yi-Ming
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Yuan, Shyan-Ming
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資訊工程學系
With the popularization of the Data-OverCable Service Interface Specifications (DOCSIS) product, many devices have been installed in client sides. The issue of how to maintain the quality while providing quick repair becomes more and more important. In some practical circumstances, the cable modem may lose the factory data which include the calibration table and the digital certificates. These data are unique and vital for the regular operations of cable modem. The traditional way of handling the malfunction product is to ship back the product to the maintenance branch and replaces a working device for the customer. In this paper we will present a solution which is based on network coding over peer to peer (P2P) network to fix the problem automatically online, named Cable modem Auto-Recovery (CAROL).
A P2P Blog System with OpenID Integration
(2008)
Lin, Chen-Pu
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Kao, Yung-Wei
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Yuan, Shyan-Ming
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資訊科學與工程研究所
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Institute of Computer Science and Engineering
Blog services become popular in recently years. Web users can post their articles through the services. On the other hand, the users do not have full control of the articles after posted while the services are built with client/server model. Therefore, we propose to use peer-to-peer (P2P) technology to establish blog services. However, the anonymous feature disables the P2P technology to conduct user identification. The OpenID provides secure and unified authentication mechanism to improve the anonymity. In addition, the OpenID has the single sign on procedure to reduce redundant, multiple accounts and passwords. The paper presents a blog service platform which integrates the P2P networks and the OpenID authentication mechanism together. Therefore, users can establish their own blogs easily with full control. The platform can be utilized for other Internet applications as well.
A parallel Bees Algorithm implementation on GPU
(2014-03-01)
Luo, Guo-Heng
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Huang, Sheng-Kai
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Chang, Yue-Shan
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Yuan, Shyan-Ming
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資訊科學與工程研究所
Bees Algorithm is a population-based method that is a computational bound algorithm whose inspired by the natural behavior of honey bees to finds a near-optimal solution for the search problem. Recently, many parallel swarm based algorithms have been developed for running on GPU (Graphic Processing Unit). Since nowadays developing a parallel Bee Algorithm running on the GPU becomes very important. In this paper, we extend the Bees Algorithm (CUBA (i.e. CUDA based Bees Algorithm)) in order to be run on the CUDA (Compute Unified Device Architecture). CUBA (CUDA based Bees Algorithm). We evaluate the performance of CUBA by conducting some experiments based on numerous famous optimization problems. Results show that CUBA significantly outperforms standard Bees Algorithm in numerous different optimization problems. (C) 2013 Elsevier B.V. All rights reserved.
A personal Web page tailoring toolkit for mobile devices
(2009-02-01)
Kao, Yung-Wei
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Kao, Tzu-Han
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Tsai, Chi-Yang
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Yuan, Shyan-Ming
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資訊科學與工程研究所
It is common to browse web pages via mobile devices. However, most of the web pages were designed for desktop computers equipped with big screens. When browsing on mobile devices, a user has to scroll up and down to find the information they want because of the limited screen size. Some commercial products reformat web pages. However, the result pages still contain irrelevant information. We propose a system to personalize users' mobile web pages. A user can determine which blocks in a web page should be retained. The sequence of these blocks can also be altered according to individual preferences. (C) 2008 Elsevier B.V. All rights reserved.
A Photo Post Recommendation System Based on Topic Model for Improving Facebook Fan Page Engagement
(2020-07-01)
Liao, Chia-Hung
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Chen, Li-Xian
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Yang, Jhih-Cheng
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Yuan, Shyan-Ming
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資訊工程學系
Digital advertising on social media officially surpassed traditional advertising and became the largest marketing media in many countries. However, how to maximize the value of the overall marketing budget is one of the most concerning issues of all enterprises. The content of the Facebook photo post needs to be analyzed effectively so that the social media companies and managers can concentrate on handling their fan pages. This research aimed to use text mining techniques to find the audience accurately. Therefore, we built a topic model recommendation system (TMRS) to analyze Facebook posts by sorting the target posts according to the recommended scores. The TMRS includes six stages, such as data preprocessing, Chinese word segmentation, word refinement, TF-IDF word vector conversion, creating model via Latent Semantic Indexing (LSI), or Latent Dirichlet Allocation (LDA), and calculating the recommendation score. In addition to automatically selecting posts to create advertisements, this model is more effective in using marketing budgets and getting more engagements. Based on the recommendation results, it is verified that the TMRS can increase the engagement rate compared to the traditional engagement rate recommended method (ERRM). Ultimately, advertisers can have the chance to create ads for the post with potentially high engagements under a limited budget.
A Project-based Curriculum for Teaching C plus plus Object-Oriented Programming
(2012)
Chen, Yen-Lin
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Chiang, Chuan-Yen
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Huang, Yo-Ping
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Yuan, Shyan-Ming
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資訊工程學系
This paper presented a project-based remedial curriculum for teaching the C++ programming language and object-oriented programming (OOP) skills and concepts. The pedagogical approach of the proposed curriculum comprises of a set of homemade projects for facilitating the students to quickly learn the essential C++ and OOP skills by accordingly implementing a large-scale communication software system. Based on the constructivist learning technology, the proposed project-based curriculum can effectively improve and enhance the learning effectiveness and interests of the students via the hands-on, minds-on, and learning by doing practices related to their lives. From the students\' survey and grade assessment results, the proposed project-based curriculum and practical homemade projects demonstrates its effectiveness and feasibility for motivating the students\' interests on C++ and OOP skills and incorporating these skills for developing practical and large-scale software.