bluuebunny/crossref_metadata_2025 huggingface dataset:
A Proposal for a Schema for ARP Spoofing Protection
Authors: Lin Jin Cherng , Koo Men Jue , Wang Cheng Sheng
Published: March 2013

IP scheme over Ethernet is one of the world's most widely used network structure. However, ARP Spoofing attacks still remain as one of serious security threats on the local area network. Despite the seriousness, there is no protective mechanism that can effectively protect against ARP Spoofing attacks available yet. This paper proposes an ARP query process mechanism that corresponds with the current IP/MAC mapping correlations based upon the existing ARP protocol and the "Direct Communication" characteristic of the LAN. It can effectively protect against ARP Spoofing attacks without change of network structures or an increase of investments in personnel and equipments.
The Curing Cycle Grouping of Aerospace Composite Shop
Authors: Chang Hsien Ming , Huang Chi Kong , Torng Chau Chen
Published: March 2013

The production environment of aerospace industry is make-to-order. Aircraft parts should have higher precision and lightweight to achieve the requirements of safety, payload, and controllability. The composite part has become more important, profitable and value-added in aircraft industry. The main processes of composite parts are prepreg cutting, lay-up, autoclave curing, hand routing and painting. Due to the aerospace composite shop is mixed production line, the parts belong to different customers/ projects that have their own raw materials and curing cycles. The integration of resources from upstream to downstream to meet the demand of each customer/project is critical to shop floor control of composite shop. The purpose of this study is aimed to construct the grouping of curing cycles to simplify the complexity of different customers/ projects, harmonize the production rhythm of all work centers. It is believed that this study can increase the competitive advantages of composite shop in the global aerospace market.
A Term Matching Strategy for Item-Banks Integration
Authors: Chuang Po Jen , Chiang Ming Chao , Yang Chu Sing
Published: March 2013

Term matching is one of applications of pattern matching for comparing strings. This paper presents a strategy of term matching based on a tree structure for integrating item-banks. An item-bank consists of question items from which the contents are connected to. Contents of a text book are divided into concepts, followed by the tree structure, while each node contains terms that describes the concepts. Comparing the terms of question items and contents, item-banks can be integrated. To evaluate the performance of the proposed method, contents of two grades have been used on the learning process. The experimental results showed that the proposed algorithm can provide an extremely high quality result in terms of both the relevance of items and the computation time in Chinese item sets. In addition, the experimental results also showed that the accuracy rate of the item-bank described herein ranges from 93.3% to 94.8%.
A Uniform and Coherent Mashup Technique Based on the OSGi Framework
Authors: Lee Kuen Min , Teng Wei Guang , Chu Jenn Lien , Lin Yu Tse , Hou Ting Wei
Published: March 2013

A mashup is a web page or application that combines data from two or more sources so as to create new services or enhance original services. Mashup technique is usually implemented in web-based applications at web browser via drag-and-drop actions. These web-based applications usually require extra programming efforts when integrating with a non-web application, and they usually cannot drop out the APIs style programming. The developers require indicating specific data source for their new mashup applications, and usually the functions of these applications are limited due to developers’ design in developing time. This kind of programming style is difficult to mashup more data sources coherently, and it is high coupling, resource limited, and difficult to be extended. To solve these issues, this paper proposes a uniform and coherent mashup technique based on the OSGi (Open Service Gateway Initiative) framework. OSGi is a module system and service platform that implements a complete and dynamic component model. By using the OSGi’s dynamic and flexible features, applications could be easily to deploy, remove, discovery, and combine with each other. The key features of proposed mashup technique include the definition of uniform identity terms and invoking chains. The uniform identity term is used to match each application service. Developers can leverage non-web mashup applications by declaring the simple definition of uniform identity term without providing and using any APIs. The invoking chains could link and combine relative application services or data with unlimited length and irregular mixing. After that, the system could build up invoking chains to perform mashup technique automatically. Therefore, developers could mashup certain application functions or data to unknown applications in runtime phase. Finally, we present two different use cases to evaluate the capabilities of the proposed technique.
An Efficient Game Level Generation in Web-Based Serious Game
Authors: Chen Jung Tsung , Hung Shao Shin , Tsaih Der Chian
Published: March 2013

Despite the growing interest in interactive storytelling techniques, their actual applications to traditional gameplay design remain to be investigated. However, many game designers have expressed concerns about the incorporation of such generative techniques in traditional game titles, mainly because of the lack of control they will have over dynamically generated content. This paper proposes an authoring tool allowing game designers to formalize, visualize, modify, and validate game level solutions in the form of automatically generated storyboards. This system uses planning techniques to produce a level solution consistent with gameplay constraints. The main planning agent corresponds to the player character, and the system uses the game actions as planning operators and level objectives as goals to plan the level solutions. Especially, in Serious Game, on the one hand, we offer an easier access and a multi-perspective view of cultural heritage artifacts, and, on the other, may also enrich and improve cultural heritage education.
An Implementation Model of RFID Information Security and Privacy
Authors: Chen Chih Yung , Tu Jih Fu
Published: March 2013

The technology of Radio Frequency Identification System (RFID) was being applied to various trade promotions, and Tag is considered to be the next generation of Barcode. However, the RFID is via transmission of radio frequency manner, so hacker could obtain information through the analysis way of frequency signal. The personal privacy will be violated if used in the user's privacy information and transmission without any protective measures to protect. RFID data transmission and storage with hardware ways to achieve the security of information is the best way, but this had been in the problem of Tag costs and capacity. The study taking from the applications ways is to achieve RFID information security and privacy, and do the information securities between the low-cost Tag and the Reader. The study submitted an EPC specification and combined with XOR logical implementation model to achieve privacy by the way of discussion currently. We got the data after simulations to show that XOR computing to 8 bytes actual test, the required time is 17.29 Ticks in average, the spend time is rather short. Follow-up our simulations to the test data of DES encryption methods, an average time of 8,039.41 Ticks is required, the two time required considerable differences.
An Innovative but Low-Cost E-Payment Mechanism and its Extension to E-Ticketing and E-Identity Document Applications
Authors: Chan Victor K.Y.
Published: March 2013

Despite the advent of e-payment decades ago, the cashless society is still a prediction of pundits, in particular, in the retail or business-to-customer sector. No doubt, there are countless financial, political, economic, and social considerations as to the possibility of e-payment’s utilization to a larger extent than has occurred so far, but it is undeniable that there may still be ample room for technical improvement to virtually all existing e-payment mechanisms for catalyzing further popularization. Based on the literature on crucial factors determining particular e-payment mechanisms achieving critical mass, this article, given its applied and industrial rather than theoretical nature, summarizes the weaknesses of major existing e-payment mechanisms, deduces the key technical dilemmas underlying such weaknesses, and finally proposes an innovative but low-cost e-payment mechanism (now a patent pending of the author) to surmount such dilemmas by means of the enhancement and generalization of existing mobile phone tickets or otherwise. In particular, overcoming such dilemmas involves the provision of highly secure authentication and non-repudiation that are implementable over public communication transmission media and/or networks at no expense of payment success rates, operational ease and efficiency, hardware and software independence, and interoperability and portability. This article also illustrates the way to extend the proposed mechanism to such applications as e-ticketing and e-identity documents.
Submicron Patterns on Sapphire Substrate Produced by Dual Layer Photoresist Complimentary Lithography
Authors: Chang Chun Ming , Shiao Ming Hua , Chiang Don Yau , Yang Chin Tien , Huang Mao Jung , Cheng Chung Ta , Hsueh Wen Jeng
Published: March 2013

In this study, the combined technologies of dual-layer photoresist complimentary lithography (DPCL), inductively coupled plasma-reactive ion etching (ICP-RIE) and laser direct-write lithography (LDL) are applied to produce the submicron patterns on sapphire substrates. The inorganic photoresist has almost no resistance for chlorine containing plasma and aqueous acid etching solution. However, the organic photoresist has high resistance for chlorine containing plasma and aqueous acid etching solution. Moreover, the inorganic photoresist is less etched by oxygen plasma etching process. The organic and inorganic photoresists deposit sequentially into a composite photoresist on a substrate. The DPCL takes advantages of the complementary chemical properties of organic and inorganic photoresists. We fabricated two structures with platform and non-platform structure. The non-platform structure featured structural openings, the top and bottom diameters and the depth are approximately 780 nm, 500 nm and 233 nm, respectively. The platform structure featured structural openings, the top and bottom diameters and the depth are approximately 487 nm, 288 nm and 203 nm, respectively. The precision submicron or nanoscale patterns of large etched area and patterns with high aspect ratio can be quickly produced by this technique. This technology features a low cost but high yield production technology. It has the potential applications in fabrication of micro-/nanostructures and devices for the optoelectronic industry, semiconductor industry and energy industry.
Analysis and Design of Semantic Web Services Using MDA and SBC Structure
Authors: Jhan Syun Sheng , Teng Chung An , Yeh Shao Hsuan
Published: March 2013

The software analysis and design could be executed by Object Oriented architecture, but it might be unsuitable for Web Services due to their interoperability and transmission. Oppositely, the Service-Oriented and Resource-Oriented Architectures should allow of them. The software builds up a bridge between two Internet services or resources. This study has proposed what software analysis and design of Web Services can adopt the Structure-Behavior Coalescence Diagram and UML-like state and class diagrams as domain description language with Model-Driven Architecture development cycle. The case study of Plurk social website is successfully tested and verified.
Analysis of Convective-Radiative Fins by Using Hybrid Spline Difference Method
Authors: Wang Chi Chang , Liao Wu Jung , Chao Lu Ping
Published: March 2013

This study used rectangular fins with constant heat transfer coefficient as material to discuss convective and radiative heat transfer, so as to prove that the hybrid spline difference method proposed in this study is an easy to operate method with high accuracy. According to the computational process described in this paper, the hybrid spline difference method is as simple as finite difference method and is easy to use. The complex computational process of traditional spline method can be simplified by using this method, but the numerical accuracy can be increased to second order. Therefore, the high accuracy numerical method of hybrid spline difference method replacing traditional spline method for future heat transfer analyses is expectable.
Annotation System for the Construction of Synchronous Grammar Tree Alignment Relationships
Authors: Oliveira Francisco , Wong Derek F. , Chao Lidia S. , Sun Fan
Published: March 2013

The construction of syntactic tree structures is vital to different Natural Language Processing applications. In the meanwhile, the use of monolingual or bilingual structures directly affects the quality of Machine Translation systems. However, manually annotated syntactic tree structures are not only considered as a time consuming task but also a very expensive work, and automatic construction approaches cannot always guarantee the quality of the syntactic trees. In this paper, a system for annotating and constructing synchronous grammar tree structures in a semi-automatic way is proposed. The system is built in the Web environment with a graphical display for users to review and modify alignment relationships between nodes of the tree and strings or trees of the other language. The core part relies on the parsing of Constraint Synchronous Grammar, and consists of several modules in establishing alignments at different levels between the languages, including relationships between syntactic tree and strings of the other language, and bilingual tree alignments. Moreover, it provides import functions in obtaining monolingual skeletal bracketing syntactic tree and Translation Corresponding Tree structures for the creation of synchronous rules in order to have wider applicability.
Design and Implementation of a Low-Cost Scalar Multiplier-on-Chip for Elliptic Curve Cryptosystem
Authors: Huang Wen Tzeng , Wang Ching Kuo , Sung Guo Ming , Tuan Chiu Ching
Published: March 2013

In the ECC, scalar multiplication represents the core operation of the system. In recent years, the circuit architecture of triple processor cores or greater has been addressed in the domestic and international literature. A parallel processing concept is mainly used in this type of framework to accelerate circuit operation. In the present study, equation calculation and circuit design were employed to integrate the pipeline architecture and the parallel processing architecture and further propose an elliptic curve scalar multiplier for dual processor cores. In addition, a Xilinx XC5VLX110T FPGA was used to verify the accuracy and performance of circuit functions. The maximum frequency was 173 MHz, the number of LUTs was 14999 slices, and the time to accomplishing one scalar multiplication was only 8.8s. Compared to architectures described in recent reports, the architecture presented was faster and effectively reduced the square measure by 28%.
Efficient Book Recommendation System Based on a MapReduce Model
Authors: Lim Chan Shik , Shin Jung Hoon , Lee Sang Jun
Published: March 2013

Today it's been getting hard to find books suitable for the purpose among a lot of books published every day. There are so many kinds of books which are more than one hundred million and huge amounts of books are published every day. Therefore, readers are getting hard to find the suitable books for them. In this paper, we propose a book recommendation system that recommends the suitable books for readers. In addition, we introduce finding relation between books in a way of looking for other titles of books mentioned in a book. The titles of books are regarded as relation data. It is used for building relation database using the MapReduce model and it will be served to readers.
Expansion-Free Grayscale Image Sharing Using Meaningful Share Images
Authors: Wang Kai Ping , Liu Chiang Lung , Lou Der Chyuan
Published: March 2013

Since Naor and Shamir introduced visual cryptography in 1994, numerous image sharing techniques have been proposed to protect the security of binary, gray, and color images. However, only few of them focus on grayscale image sharing. Because the size of the share images are usually very large, an image sharing method that can create share images with the same size as that of the secret image (expansion free) is more attractive. This study aims to propose a grayscale image sharing method to achieve the purposes of free expansion and meaningful image sharing simultaneously. Experimental results show that two meaningful share images can be effectively created by the proposed share image creation process. Moreover, the original grayscale secret image can be correctly decoded by the proposed secret image retrieval process.
Full Multiplexers Implementation of Dual Basis Multiplier over GF(2m)
Authors: Chang Hung Wei , Chiou Che Wun , Liang Wen Yew , Wang Jenq Haur
Published: March 2013

Information security is getting more important due to the highly-developed computer technologies. The information security is heavily dependent on cryptosystems such as RSA and elliptic curve cryptosystem (ECC). ECC is suitable for the resource-constrained devices such as embedded system or hand-held devices because ECC can achieve the same security level but uses less cost as compared to RSA. Galois/Finite field multiplication is the most crucial operation in ECC. There are three popular bases in finite field in GF(2m), polynomial basis (PB), normal basis (NB), and dual basis (DB). A low-complexity bit-parallel DB multiplier which employs multiplexer approach is presented in this paper. While comparing with other related works, the proposed DB multiplier saves at least 20% space complexity.
GPU Computation for Online Realtime Multi-Pattern Matching
Authors: Huang Yu Hsiu , Lin Richard Chun Hung , Lin Ying Chih , Lin Cheng Yi
Published: March 2013

Most applications of traditional full-text search, e.g., webpage search, are offline which exploit text search engine to preview the texts and set up related index. However, applications of online realtime full-text search, e.g., network Intrusion detection and prevention systems (IDPS) are too hard to implementation by using commodity hardware. They are expensive and inflexible for more and more occurrences of new virus patterns and the text cannot be previewed and the search must be complete realtime online. Additionally, IDPS needs multi-pattern matching, and then malicious packets can be removed immediately from normal ones without degrading the network performance. Considering the problem of realtime multi-pattern matching, we implement two sequential algorithms, Wu-Manber and Aho-Corasick, respectively over GPU parallel computation platform. Both pattern matching algorithms are quite suitable for the cases with a large amount of patterns. In addition, they are also easier extendable over GPU parallel computation platform to satisfy realtime requirement. Our experimental results show that the throughput of GPU implementation is about five to seven times faster than CPU. Therefore, pattern matching over GPU offers an attractive solution of IDPS to speed up malicious packets detection among the normal traffic by considering the lower cost, easy expansion and better performance.
iTagger: Part-of-Speech Tagging Based on SBCB Learning Algorithm
Authors: Zeng Xiao Dong , Chao Lidia S. , Wong Derek F. , He Liang Ye
Published: March 2013

The problem of part-of-speech (POS) tagging or disambiguation is a practical issue in natural language processing (NLP) community, especially in the development of a machine translation system. The performance of POS tagging system may interference the subsequent analytical tasks in the translation process, and thereafter affects the overall translation quality. This paper presents a novel POS tagging system, iTagger, which is developed based on Selecting Base Classifiers on Bagging (SBCB) learning algorithm. In this work, the POS tagging task is regarded as a classification problem. Features such as the surrounding context of ambiguous candidates, n-gram information, lexical items and linguistic clues are used and automatically extracted from the annotated corpus. The proposed system has been compared against two state-of-the-art tagging methods, Hidden Markov Model (HMM) and Maximum Entropy. The empirical results conducted on the corpora of (English) Brown corpus, (Portuguese) Tycho Brahe corpus and the Chinese Tree Bank corpus reveal the competitiveness of iTagger. Moreover, the iTagger has been developed and released to the public as library and tool for various development and application purposes.
JokerBot – An Android-Based Botnet
Authors: Jiang Ruei Min , Jhang Jia Sian , Hsu Fu Hau , Hwang Yan Ling , Huang Pei Wen , Sheu Yung-Hoh
Published: March 2013

Due to the trend that mobile devices are getting more and more popular, smart phone security becomes an important issue nowadays. This paper proposes an Android-based botnet, called JokerBot, to show the possible security problems in mobile devices. This paper describes JokerBot framework. JokerBot designs its own communication mechanism to allow different bots to communicate with each other. An attacker can use JokerBot to trigger many kinds of potential attacks, such as monitoring the SMS messages and location disclosure. Moreover, after a bot is created in a compromised smartphone, it is difficult to locate the botmaster and detect whether the smartphone is infected or not. Finally, this paper proposes some defense mechanisms to protect a smartphone against JokerBot attacks.
Visualization of Nanomanipulation Using an Interactive Virtual Environment
Authors: Chen Chun Ta , Chen Shin Yong , Liao Chien Hsiang , Zeng Shi Chang
Published: March 2013

This work lies on the framework of an interactive virtual environment for nanomanipulation. The model for the simulation of a manipulated nanoparticle dynamics in the virtual environment is constructed from the computed molecular dynamics. According to the operation by single-tip scanning probe microscope(SPM) for the nanomanipulation, the molecular forces are calculated based on the Lennard-Jones force-field such that the motion of the manipulated nanoparticles can be rendered for real-time virtual reality applications. Moreover, by coupling the CAD softwares to virtual reality (VR) techniques, the interactive virtual environment is developed for intuitive nanomanipulation visualization. Using the simulated nanomanipulation environment in VR, the operator can characterize and control the behavior of nanoparticles under the assumed SPM through physical simulation and 3D visualization.
Study of Zinc Oxide Films on SiO2/Si Substrate by Sol–Gel Spin Coating Method for pH Measurement
Authors: Foo Kai Loong , Kashif Muhammad , Hashim Uda
Published: March 2013

This In this work, zinc oxide film was deposited onto the SiO2/Si substrate with low-cost sol-gel spin coating method. Zinc oxide thin film was deposited on the silver interdigit elctrodes for the pH measurement. The surface morphology and microstructures of the deposited zinc oxide films were analyzed by field emission scanning electron microscope (FESEM) and atomic force microscope (AFM). Whereas the crystallinity and structure of the zinc oxide films were determined by X-ray diffraction (XRD) and Fourier transform infrared spectroscopy (FTIR). The measurement at various pH values, which were ±1 above and below of the neutral pH had been conducted with a real time dielectric analyzer measurement. It was observed that the increase in pH would decrease the capacitance of the device.
Video Quality Adjustment Model Supporting Mobility for Seamless Multimedia Service Delivery
Authors: Suh Dong Jun , Chang Seong Ju
Published: March 2013

Advanced multimedia computing technology is capable of providing user-oriented services for the user and the environment through context-awareness. This study seeks to provide seamless video delivery service with the focus on the user’s mobility patterns during a multimedia streaming service session. Mobility supporting technology which ensures the provision of seamless services can be classified into host mobility and user mobility. The former corresponds to host-level handoff while the latter refers to user-level handoff. In host-level handoff, the factors that directly affect the quality of video consumption are total distance between hosts, the distance for streaming resuming while user is in mobility mode as well as the screen size of the end host. The relationship among these parameters is analyzed by carrying out a user subjective assessment and an appropriate video quality model was developed, accordingly. The proposed quality model supporting seamless-mobility has a high correlation to the assessed quality and enables an adequate seamless mobility for multimedia service delivery.
Security of Cloud Computing Lightweight Authentication Protocol
Authors: Wang Shu Ching , Liao Wen Pin , Yan Kuo Qin , Wang Shun Sheng , Tsai Szu Hao
Published: March 2013

Nowadays, network bandwidth and hardware technology are developing rapidly, resulting in the vigorous development of the Internet. However, cloud computing, an Internet-based development in which dynamically scalable and often virtualized resources are provided as a service over the Internet has become a significant issue. According to the characteristics of cloud computing, there are a lot of applications and data centers in the cloud-computing environment, hence, the issues of information and communication security and authentication must to be considered. However, the most of the studies on the security and authentication require large amounts of computing resource; therefore not suitable for the cloud-computing environment. In this paper, a lightweight computing protocol, Lightweight Authentication Protocol (LAP), is proposed to enhance the security of cloud computing environment and provide the authentication of service.
Research on Sequence Query Processing Techniques over Data Streams
Authors: Lin Edgar Chia Han
Published: March 2013

Due to the great progress of computer technology and mature development of network, more and more data are generated and distributed through the network, which is called data streams. During the last couple of years, a number of researchers have paid their attention to data stream management, which is different from the conventional database management. At present, the new type of data management system, called data stream management system (DSMS), has become one of the most popular research areas in data engineering field. Lots of research projects have made great progress in this area. Since the current DSMS does not support queries on sequence data, this project will study the issues related to two types of data. First, we will focus on the content filtering on single-attribute streams, such as sensor data. Second, we will focus on multi-attribute streams, such as video films. We will discuss the related issues such as how to build an efficient index for all queries of different streams and the corresponding query processing mechanisms.
Research on Domain Ontology-Based Concept Similarity Calculation
Authors: Li Wen Jie , Shi Sha Sha , Liu Si
Published: March 2013

Similarity computing of ontological concept has made rapid progress in the field of data mining, information processing and artificial intelligence and becoming one of the hot research field of information technology, particularly the idea of the semantic Web was proposed in 2000, the concept of semantic similarity has gotten more attention, while also facilitating its further development and application in information retrieval. Considering the deficiencies of existing concept similarity algorithm, this paper design the method to reduce the candidate set of domain concept, and put forward a similarity calculation model based on the concept name, instances, properties, and semantic structure of domain ontology. Integrated several main influencing factors, the experiments show the proposed algorithm can express the impact of various factors on the similarity in the calculation concept similarity of domain ontology. By comparing with the traditional similarity method and expertise experience value, the experiment result shows that the effectiveness and correctness of the concept similarity calculation model.
Performance Evaluation of a Hadoop-Based Secure Cloud Platform
Authors: Lin Chun Hung Richard , Liao Hung Jen , Tung Kuang Yuan , Lin Ying Chih , Cheng Sheng Lun
Published: March 2013

Cloud computing platforms offer a convenient solution for addressing challenges of processing large-scale data in both academia and industry, beyond what could be achieved with traditional on-site clusters. There are a great number of on-line cloud services, and in the meantime, the security issue is getting more and more significant for cloud users. Whereas Hadoop-based cloud platform is currently a well-known service framework, our goal in this paper is to investigate the mechanisms of authentication and encryption of Hadoop. We try to construct a highly secure Hadoop platform with small deployment cost, robust attacking prevention, and less performance degradation. We also conduct a number of simulations to evaluate the performance under different parametric settings and cryptographic algorithms. Simulation results reveal the feasibility of security mechanisms, and find that the more important thing to construct cloud platforms with appropriate security mechanisms is to consider the application requirements, which could be a better trade-off between security and user requirement.
Management of Abstract Algebra Concepts Based on Knowledge Structure
Authors: Chen Chin Chun , Lin Yuan Horng , Yih Jeng Ming
Published: March 2013

Knowledge Management of Mathematics Concepts was essential in educational environment. The purpose of this study is to provide an integrated method of fuzzy theory basis for individualized concept structure analysis. This method integrates Fuzzy Logic Model of Perception (FLMP) and Interpretive Structural Modeling (ISM). The combined algorithm could analyze individualized concepts structure based on the comparisons with concept structure of expert. Fuzzy clustering algorithms are based on Euclidean distance function, which can only be used to detect spherical structural clusters. A Fuzzy C-Means algorithm based on Mahalanobis distance (FCM-M) was proposed to improve those limitations of GG and GK algorithms, but it is not stable enough when some of its covariance matrices are not equal. A new improved Fuzzy C-Means algorithm based on a Normalized Mahalanobis distance (FCM-NM) is proposed. Use the best performance of clustering Algorithm FCM-NM in data analysis and interpretation. Each cluster of data can easily describe features of knowledge structures. Manage the knowledge structures of Mathematics Concepts to construct the model of features in the pattern recognition completely. This procedure will also useful for cognition diagnosis. To sum up, this integrated algorithm could improve the assessment methodology of cognition diagnosis and manage the knowledge structures of Mathematics Concepts easily.
LSO-AdaBoost Based Face Detection for IP-CAM Video
Authors: Chang Chuang Jan , Hwang Shu Lin
Published: March 2013

The IP-CAM plays a major role in the context of digital video surveillance systems. The function of face detection can add extra value and can contribute towards an intelligent video surveillance system. The cascaded AdaBoost-based face detection system proposed by Viola can support real-time detection with a high detection rate. The performance of the Alt2 cascade (from OpenCV) in an IP-CAM video is worse than that with regard to static images because the training data set in the Alt2 cannot consider the localized characters in the special IP-CAM video. Therefore, this study presents an enhanced training method using the Adaboost algorithm which is capable of obtaining the localized sampling optimum (LSO) from a local IP-CAM video. In addition, we use an improved motion detection algorithm that cooperates with the former face detector to speed up processing time and achieve a better detection rate on video-rate processing speed. The proposed solution has been developed around the cascaded AdaBoost approach, using the open-CV library, with a LSO from a local IP-CAM video. An efficient motion detection model is adopted for practical applications. The overall system performance using 30% local samples can be improved to a 97.9% detection rate and reduce detection time by 54.5% with regard to the Alt2 cascade.
E-Learning Interface Management
Authors: Liu Kuang Tai , Ruan Bi Hua , Liu Rong Kang
Published: March 2013

World Wide Web has popularly developed in everywhere and everyday people since 1997; this research considers internet education, E-Learning, cutting edge and clever approach. Its revolution will improve the models and principals of traditional education around the world. E-Learning interface is perceived as a communication protocol that is much more human, friendly and intelligent interaction in future such as icloud or touch panel technology, even if non-experience users can easily or conveniently operate the system. Human-machine interaction interface is required by a particular software design. This study applies five factors by structural equation modeling method to determine what criteria of E-Learning users-interface could be satisfied in the virtual classroom. The main purpose finds out the efficient systems that save time, money, and resources to establish the optimal virtual classroom for users required satisfaction exactly. The results and findings provide critical implications and recommendations for interface designers and instructors in future research and practice.
Application of Systematic Innovative Method to Improve the Structure of Magnetorheological Damper
Authors: Chang Chia Pao , Lin Ying Hsiang , Chen Yu Cheng
Published: March 2013

Magnetorheological fluid (MR fluid) has been widely used in the industrial fields, especially in the machinery, automobile, national defense and construction industries. Most of the researches of the Magnetorheological Damper only utilized device to examine the effects of different levels of voltage, amplitude and frequency on energy reduction. They find a combination of the number of circles of wire, damping tubes, enameled wire sleeves for liquid of MR damper controlled to increase the damping force. This study uses different ways to solve the problem. We think outside the box and apply the concepts and technology of systematic innovation method to improve the structure of the MR damper for increasing the effectiveness. This study uses the contradiction matrix, 39 engineering parameters, and 40 inventive and innovative principles to identify the areas of improvement to address the exist problems. Regarding the decrease of the magnetic field acting force due to increase of the moving distance and the effect on the magnetorheological damper efficiency. Finally, we propose an improved design of the MR Damper.
A Decision Support System for the Operation of Vending Machine Supply Chains with Product Substitution and Varying Vehicle Speed
Authors: Park Yang Byung , Yoon Sung Joon
Published: March 2013

This paper presents a decision support system for the operation of general and smart vending machine supply chains with product substitution and varying vehicle speeds. The system supports various functions such as the determination of operation parameters, supply chain performance evaluation, CO2 analysis of delivery vehicle emissions, and more. The potential benefits of the system include the provision of guidance, solutions, and simulation environments for companies in the extensive operations of vending machine supply chains.
Stochastic Nonlinear Vibration of Fluid-Loaded Double-Walled Carbon Nanotubes
Authors: Chang Tai Ping
Published: March 2013

This paper investigates the stochastic dynamic behaviors of nonlinear vibration of the fluid-loaded double-walled carbon nanotubes (DWCNTs) by considering the effects of the geometric nonlinearity and the nonlinearity of van der Waals (vdW) force. The nonlinear governing equations of the fluid-conveying DWCNTs are formulated based on the Hamilton’s principle. The Young’s modulus of elasticity of the DWCNTs is assumed as stochastic with respect to the position to actually describe the random material properties of the DWCNTs. By utilizing the perturbation technique, the nonlinear governing equations of the fluid-conveying can be decomposed into two sets of nonlinear differential equations involving the mean value of the displacement and the first variation of the displacement separately. Then we adopt the harmonic balance method in conjunction with Galerkin’s method to solve the nonlinear differential equations successively. Some statistical dynamic response of the DWCNTs such as the mean values and standard deviations of the amplitude of the displacement are computed. It is concluded that the mean value and standard deviation of the amplitude of the displacement increase nonlinearly with the increase of the frequencies.
A Genetic Algorithm for Improving Efficiency of PERT
Authors: Lin Jeng Jong
Published: March 2013

In this study, a genetic algorithm (GA) based system is used to obtain the feasible combination of activity duration parameters for a project planning. The searching mechanism, developed in the Turbo C programming environment, and the theory, based on a genetic algorithm, can find several feasible solutions of activity duration parameters during proceeding with program evaluation and review technique (PERT) to find the minimum cost of a project. In addition, the system can simultaneously calculate the current cost and finish duration for each set of surveyed solutions in order to provide the project manager with options for the due date. With this system, improving the throughput efficiency of PERT to enhance the competition ability of enterprise in production management can thus be achieved.
Construction of System Dynamics Model on Service Strategy and Resource Management
Authors: Lan Tian Syung , Kuo Chao Hua , Liang Chu Ching
Published: March 2013

Competitiveness of a company has been based on the ability of locating and solving the com-mercial troubles more quickly and effectively than other competitors. For small and medium-sized enterprises (SMEs), it is necessary to expand the boundaries of the traditional organizations and promote across-domain knowledge in different industries. Thus, the opportunities of industrial in-novation can be increased, and the bright future of the industry can also be confirmed. In Taiwan, there are numerous SMEs in various industries. Conducting and researching in resource conservation service innovation technology and transforming system are deemed to be important for modern enterprises. This research was aimed at building a service-oriented system for saving the energy and reducing discharges to perform a new mechanism of resource conservation services for SMEs. The project “Construction of System Dynamics Model on Service Strategy and Resource Management” was aimed to assist “Wai Cheong Electrical Engineering Co., Ltd.”at Chung Hsing Industry Park in Miaoli. The System Dynamics was primarily introduced into this project for per-formance analysis, so that the proposed performance evaluation model could be formulated. With the performance evaluation on the indicators, the overall performance structure was clarified as well. After the reliability analysis of the proposed model was verified, the data provided dynamic results on demand forecasting, quality control, and marketing management for decision making. Then, the effectiveness would be practically adjusted for different quality levels to predict the actual need. It’s the essential way to recognize the cost variation and observe other parameters of the marketing strategy. The strategy was effective to achieve the goals of removing the strategic planning con-straints and reducing resource consumption caused by improper decisions. In conclusion, the con-struction of this model would enhance the opportunity to succeed and achieve in the company’s op-timum profits when confronting the current dynamic and competitive market environment.
Size Effect of Silver Nanoparticle Melted into ZnO Nanorods for Photocatalytic Activity
Authors: Huang Jung Jie , Chao Ching Hsun , Chen Chao Nan , Hsu Chun Fa , Tsai Ming Wei
Published: March 2013

Ag/ZnO nanorod structure was synthesized by using the hydrothermal method to grow ZnO nanorods and melted silver nonoparticles into ZnO nanorods by thermal annealing process in vacuum at 700 oC. The photocatalytic activity for methylene blue decolorization is enhanced by silver nanoparticles melted into a ZnO nanorod structure owing to the formation of Schottky barrier near the Ag/ZnO interface prolongs the recombination of electron-hole pairs effectively. The size effect of silver nanoparticles in the Ag/ZnO nanorod structure for photocatalytic activity was discussed which was changed from 12 to 34 nm. The smaller silver nanoparticle size sample shows better decolorization efficiency of methylene blue solution owing to the higher surface area of Ag/ZnO nanoroad. Ag/ZnO nanorod films have been characterized by X-ray diffraction (XRD), UV-vis spectroscopy, field-emission scanning electron microscopy (FE-SEM) and transmission electron microscopy (TEM). The dye decolorization significantly increased from 69 to 99 % after UV light irradiation for 8 hr by the optimum Ag/ZnO nanorod film.
Intelligent Decision-Making on Modular Products Using Fuzzy Algorithms
Authors: Tsai Hung Cheng
Published: March 2013

In daily life, it is unavoidable to make a lot of different decisions. Unfortunately, people are not optimal decision makers and do not act rationally when selecting the desired product [1]. To help people select the “right” product to meet their needs, a customizable model based on the fuzzy algorithms is proposed in this study. The linguistic triangular fuzzy variables are used to quantify the judgment intensities to establish the customizable model. The relationship between individual’s needs and product alternatives are constructed by using the fuzzy inference and fuzzy distance algorithms. With the program created in this research, the user will be able to customize the product and obtain the suggested combination of alternatives that fits the user’s needs by selecting the required linguistic terms. A bicycle is chosen as the objective product for a case study in this research and this proposed model can also be used with other products.
The Study on the Functional Element Representations for Bicycles with Creative Characteristics
Authors: Liu Nien Te , Wu Chang Tzuoh
Published: March 2013

The purpose of this paper is to propose representations for bicycles with creative characteristics. First of all, many creative bicycles are collected from references and websites. Then, these bicycles are analyzed and arranged one by one to find creative characteristics. Finally, the representations for creative bicycles are proposed. The construction elements of bicycles can be classified into 3 kinds: functional elements, shape elements, and material elements. For the functional elements, they are classified into 14 kinds, and controlling, moving, input elements are necessary for bicycles. There are two types of constructions for bicycles. One is bicycle with frames, another is without frames. Bicycles with frames always have wheels connected and should be represented from frames as start. Bicycles without frames can be represented from controlling, moving, or input elements as start. The relationships for functional elements are mergence and combination. The most important result of this paper is the functional elements representations are proposed for bicycles with creative characteristics. By using graphs and symbols, bicycles can be represented simple and quickly for concept development.
Supply Chain Pricing Strategy for Short-Lived Ramp-Type Demand Models
Authors: Lin Yi Ni
Published: March 2013

Natural hazards, such as estern Japan earthquake in 2011 and human-induced crises, such as the bankruptcy of Lehman Brothers in 2008, is harmful to global supply chain management. Therefore, a need exists to rethink the methodology for responding to crises. It is well known that the bullwhip effect due to order forecasting and demand fluctuations decrease supply chain efficiency. Compared to the conventional bullwhip effects, short-lived demand changes caused by unexpected natural disasters or a financial crisis can adversely affect supply chain performance. This work discusses the effects of four ramp-type demands using a novel supply chain cost model. Ramp-type demand increases within a short period can lead to profit loss; and consequently, an appropriate pricing strategy should be adopted. Based on price elasticity, demand types and their lifetimes, and supply chain parameters, the price premium can be determined to obtain the highest profit. Simulation results provide guidelines for supply chain managers dealing with demand fluctuations due to natural or human-induced crises.
Research on Optimized Problem-Solving Solutions Selection of the Production Process
Authors: Ke Chih Kun
Published: March 2013

In manufacturing industries, various problems may occur during the production process. A problem is a complex status which involves relevant context in working environments. A problem-solving process is often initiated to create a solution for achieving the desired status; in this process, determining how to obtain a solution from the various candidate solutions is an important issue. In such uncertain working environments, context information provides rich clues for problem-solving decision making. Therefore, this work uses a selection approach for an optimized problem-solving process to assist workers in choosing a reasonable solution. A context-based utility model explores the problem context information to obtain the candidate solutions’ actual utility values; a multi-criteria decision analysis uses the actual utility values to determine the optimal selection order of candidate solutions. The selection order is presented to the worker as an adaptive knowledge recommendation. The worker chooses a reasonable problem-solving solution based on the selection order. This paper uses a high-tech company’s knowledge base log as the analysis data. The experimental results show that the chosen approach to an optimized problem-solving solution selection is effective. The contribution of this research is in demonstrating a method which is easy to implement in a problem-solving knowledge recommendation system for selecting a reasonable solution.
Multiprocessor Flow Shop Scheduling Problem with Common due Window
Authors: Huang Rong Hwa , Yu Tung Han , Yang Chang Lin
Published: March 2013

The objective of scheduling is to maximize capacity utilization, minimize work-in-process inventory and ensure timely delivery. The due windows problem proposes that jobs should only be finished within the time interval that meets customer needs. This research applies integer programming (IP) and ant colony optimization (ACO) to solve due window problems in a flow shop with multiprocessors (FSMP). To improve the performance of jobs within due windows, this research splits them into different numbers of processing lots so they can be processed on more than one machine simultaneously. This shortens the total weighted earliness and tardiness of the jobs. The ACO is applied as a heuristic tool for solving the scheduling problems, and the solution results show that ACO has good validity, robustness and effectiveness.