bluuebunny/crossref_metadata_2025 huggingface dataset:
Symmetric NAT Traversal Method for Session Initial Protocol (SIP)
Authors: Chen Kuan Lin , Hwang Shaw Hwa , Yeh Cheng Yu
Published: March 2013

Although the integration of SIP-based systems with a network address translation (NAT) environment has been investigated extensively, SIP-based system operation in symmetric model NAT remains relatively unexplored. This paper studies the application of symmetric NAT traversal techniques to SIP-based systems. This study focuses on following the SIP process, a non-additive service server, and employs standard SIP commands such as “REGISTER,” “INVITE,” and “200 OK” to predict and deliver the IP addresses and port numbers of the local NAT. This study also implements RTP streaming in the client-to-client (C2C) mode. The symmetric NAT traversal method for the SIP increases the direct peer-to-peer connection rate. This approach also avoids the STUN and RTP-Relay server. Experimental results with 50 types of NAT indicate that symmetric NAT traversal performs better than the STUN solution. The RTP-Relay server bandwidth cost is likewise superior to the TURN solution. These finding have important implications for SIP-based system developers and carrier providers.
RSVP Extensions for Mobility Management in Heterogeneous WLAN/WiMAX Networks
Authors: Wang Neng Chung , Chiang Yung Kuei , Wei Shiao Ming
Published: March 2013

Quality of service (QoS) is so significant that it cannot be neglected in the recent evolution of wireless mobile networks, which are characterized by great heterogeneity. Handoff delay is one of the problematic issues that users are facing in the heterogeneous networks. In the wireless networks, many mobile users still cannot obtain the network resources they need when applying real-time services while handoff occurs. Consequently, providing a seamless handoff for QoS connections in heterogeneous wireless local area network (WLAN) and worldwide interoperability for microwave access (WiMAX) is crucial. In this paper, a resource ReSerVation Protocol (RSVP) extension scheme for seamless handoff in heterogeneous WLAN/WiMAX networks is proposed. The proposed scheme is based on QoS aware mobility architecture to guarantee a certain degree of QoS. The network selection is initiated by the mobility of the mobile station (MS) and pre-handoff is performed, basing on received signal strength (RSS). Simulation results show that the proposed scheme outperforms the previous schemes.
Performance Analysis of Reactive FHCoP-B in Nested Mobile Networks
Authors: Chang Ing Chau , Lu Ciou Song , Wang Sheng Chih
Published: March 2013

There are two scenarios that proactive fast HCoP-B (FHCoP-B) cannot normally complete its operations due to fast movements during handover. We will propose efficient reactive FHCoP-B flows for these two scenarios to support fast and seamless handovers. We will further extend the analytical model proposed for mobile IPv6 to investigate performance metrics of reactive FHCoP-B with the radio link protocol, which can detect packet losses and performs retransmissions over the error-prone wireless link. Through simulations, FHCoP-B outperforms HCoP-B and the other two NEMO schemes by achieving shortest handover latencies only with few extra buffer spaces.
Detecting Soil Water Content of Red Soil and Younger Alluvial Soil Using a Spectrometer
Authors: Chiang Jie Lun , Jien Shih Hao
Published: March 2013

To provide a simple and fast alternative in measuring soil water content (SWC), a spectrometer was used to detect SWC because of different soil water contents, leading to different reflectance spectrums. Two commonly seen soil types in Taiwan are red soil and younger alluvial soil, which were used as test materials in this study. Fifty red soil samples and 50 younger alluvial soil samples were used as testing samples for comparative study. The root mean square error of SWC estimation of red soil and younger alluvial soil is 3.65 and 7.26, respectively. The results show that the estimation accuracy of red soil is higher than that of younger alluvial soil. The estimation error is random for red soil, and decreases exponentially for younger alluvial soil. Spectrometers have the potential to detect soil water content, especially in red soil. After full development of this technology, remote sensing will be applied to detect soil water content or even water-induced landslides.
Multi-Colored LED Control System Implemented in Programmable SoC with Subset of DMX512 Specification
Authors: Wu Fu Hai Frank , Hsueh Jen Hao , Jang Jyh Shing Roger
Published: March 2013

The Light Emitting Diode (LED) is a highly efficiency light source, normally controlled by pulse width modulation (PWM) with intelligent environment condition sensing. While the connection between the control center and LED devices could be wireless or cable-connected, the power lines always have cables, and the signaling cable could be bundled with the power cables. Given a large number of fixed devices and a medium distance between devices, DMX512 physical signaling could serve as an appropriate good protocol for the control system. This paper proposes a method to implement a multi-color (RGB) LED programmable control system on chip for increased flexibility and scalability. The implementation comprises a command set architecture customized for RGB-color LEDs, composed of setup, action and query commands, and includes a special visible method to indicate device ID.
LED Color Mixing Mechanism Design
Authors: Hung Chih Ching , Hsieh Chi Chang , Li Yan Huei , Lin Chyun Chau
Published: March 2013

LED is the solid-state light source of the 21st century that ranges from white light to any color in the entire spectrum. LED lights create static or dynamic illumination in indoor lighting applications. Modern indoor lighting fixtures not only provide illumination, but also are the primary elements that create the atmosphere. The use of gradual mixing of lights or different colors not only makes lights fit more people’s physical and psychological needs, but also improve one’s aesthetic perspectives. However, the LED color mixing technique based on RGB colors requires the package of the RGB chips in on single space for the creation of color mixing through the control of voltage and current. An innovative color mixing technique was proposed in this study. A linkage mechanism was introduced. The individual RGB chips were installed in 3 sets of four-bar linkages to enable color mixing by driving the RGB chips with the crank of the mechanism. The color mixing effects provide a continuing change of colors to meet people’s requirements for color mixing fixtures in certain scenarios. The fixtures incorporating this design can be used for stage lighting and biomedical engineering testing.
Measurement and Simulation of System Performance of Digital Broadcasting System
Authors: Tseng Hsien Wei , Chien Wei , Lu Shih Nan , Lee Wei Chen , Jan Yih Guang , Lee Yang Han
Published: March 2013

In this paper, we use MATLAB software to build the physical layer transceiver of the Digital Video Broadcasting Terrestrial System (DVB-T) and Additive White Gaussian Noise (AWGN) is added into the transmitted signal during its transmission. The transmitted signal passes through modulation, demodulation, encoding and decoding processes the resulting demodulated signal is compared with the transmitted signal to calculate its Bit Error Rate (BER). Three modulation formats, QPAK, 16-QAM and 64-QAM are simulated and through various Signal to Noise (SNR) ratio to evaluate the system performance. Various encoding techniques such as Reed Solomon Code, Convolutional Code and Viterbi Decoding [1-6] have been implemented and through simulation to make detailed system performance analysis and comparison. detailed system performance simulation, analysis and comparisons.
Application of Evolutionary Programming for Switch Strategy Decision of Distribution Systems with Load Variations
Authors: Tsai Men Shen , Chu Cheng Chieh
Published: March 2013

A distribution system consists of a number of feeders, switches and load zones. The distribution system topology may be reconfigured by changing the statuses of switches on the feeders such that the system real power loss can be reduced. However, the loads in the zone may be varied at different time in reality which leads to the system losses changed from time to time. This paper applies Evolutionary Programming (EP) approach attempt to find a switch operation strategy that can be applied to change the topology of the distribution system while minimizing the system total energy loss for a period of time. As the feeder reconfiguration is a multi-objective problem in nature, Grey Correlation Grade (GCG) is employed to gratify the selection operation in EP. The required information of this paper is retrieved from the Outage Management System (OMS) of Taiwan Power Company (TPC). The results indicate the system energy loss can be reduced with limited number of switch operations when multiple objectives are considered simultaneously under load variation conditions.
Effect of Textured Surface on Sliding Friction Investigated Using Molecular Dynamic Simulation
Authors: Chen Ming Yuan , Hong Zheng Han , Fang Te Hua , Kang Shao Hui , Kuo Li Min
Published: March 2013

Molecular dynamic simulation for Fe sliding on Fe substrate with textured surface is investigated in this work. The textured surfaces on sliding are discussed to elucidate the physics of friction at the small scale. The modified embedded-atom method many-body potential is modeled to describe the interaction of Fe-Fe atoms. We find that a textured surface can reduce the friction because the former can entrap wear particles, effectively reducing the contact area. In addition, the friction force increases almost linearly in the low sliding speed with the increasing of sliding speeds. However, the friction force decreased as the increasing speed exceeds the 300 m/s.
A Coded Digital Watermarking Recognition Using Neural Network Method
Authors: Yen Chih Ta , Ding Ing Jr , Lai Zong Wei
Published: March 2013

Digital watermarking is an encryption technology commonly used to protect intellectual property and copyright. Although watermarks possess advantageous secrecy and robustness, environmental interference in the image propagation through the Internet is inevitable and, certainly, human-based image modification can also destroy the watermark. In this study, we restored watermarks that had already been affected by noise interference, used the Walsh-Hadamard codes as the watermark identification codes, and applied salt-and-pepper noise and Gaussian noise to destroy watermarks. First, we used a low-pass filter and median filter to remove noise interferences. Although these filters can suppress noises, watermarked images remain unidentifiable when the noise interferences strongly. Finally, we used a back-propagation neural network algorithm to filter noises, obtaining results that exceeded our expectations. We removed nearly all noise and recovered the originally embedded watermarks of Walsh-Hadmard codes.
A Memetic Algorithm for Mixed-Integer Optimization Problems
Authors: Lin Yung Chien
Published: March 2013

Evolutionary algorithms (EAs) are population-based global search methods. Memetic Algorithms (MAs) are hybrid EAs that combine genetic operators with local search methods. With global exploration and local exploitation in search space, MAs are capable of obtaining more high-quality solutions. On the other hand, mixed-integer hybrid differential evolution (MIHDE), as an EA-based search algorithm, has been successfully applied to many mixed-integer optimization problems. In this paper, a memetic algorithm based on MIHDE is developed for solving mixed-integer constrained optimization problems. The proposed algorithm is implemented and tested on a benchmark mixed-integer constrained optimization problem. Experimental results show that the proposed algorithm can find a better optimal solution compared with some other search algorithms.
A Real Time Hand Gesture Recognition System Based on DFT and SVM
Authors: Chen Wen Her , Hsieh Ching Tang , Liu Tsun Te
Published: March 2013

Vision based band gesture recognition provides a more nature and powerful means for human-computer interaction. A fast detection process of hand gesture and an effective feature extraction process are presented. The proposed a hand gesture recognition algorithm comprises four main steps. First use Cam-shift algorithm to track skin color after closing process. Second, in order to extract feature, we use BEA to extract the boundary of the hand. Third, the benefits of Fourier descriptor are invariance to the starting point of the boundary, deformation, and rotation, and therefore transform the starting point of the boundary by Fourier transformation. Finally, outline feature for the nonlinear non-separable type of data was classified by using SVM. Experimental results showed the accuracy is 93.4% in average and demonstrated the feasibility of proposed system.
Building a Post-Search Academic Search Engine Based on a Serial of Clustering Methods
Authors: Chen Lin Chih
Published: March 2013

Academic search engines, such as Google Scholar and Scirus, provide a Web-based interface to effectively find relevant scientific articles to researchers. However, current academic search engines are lacking the ability to cluster the search results into a hierarchical tree structure. In this paper, we develop a post-search academic search engine by using a mixed clustering method. In this method, we first adopt a suffix tree clustering and a two-way hash mechanism to generate all meaningful labels. We then develop a divisive hierarchical clustering algorithm to organize the labels into a hierarchical tree. According to the results of experiments, we conclude that using our mixed clustering method to cluster the search results can give significant performance gains than current academic search engines. In this paper, we make two contributions. First, we present a high performance academic search engine based on our mixed clustering method. Second, we develop a divisive hierarchical clustering algorithm to organize all returned search results into a hierarchical tree structure.
Building a Multi-Classifier System in a GA-Based Learning Environment
Authors: Kim Yeong Joon , Hong Chu Leui
Published: March 2013

We have explored an approach for building a multi-classifier system in a GA-based inductive learning environment. In our approach, multiple base classifiers are combined to build a multi-classifier system. A base classifier consists of a general classifier and a meta-classifier. The role of a general classifier is to perform regular classification task and that of a meta-classifier is to evaluate the classification result of its general classifier and decide whether the base classifier participates into a final decision-making process or not. The paper discusses our approach in details and presents some empirical results that show the improvement we can achieve with our approach.
Efficient Hardware Architecture for Kernel Fuzzy C-Means Algorithm
Authors: Ou Chien Min , Hwang Wen Jyi , Yang Ssu Min
Published: March 2013

A novel VLSI architecture for kernel fuzzy c-means algorithm is presented in this paper. The architecture consists of efficient circuits for the computation of kernel functions, membership coefficients and cluster centers. In addition, the usual iterative operations for updating the membership matrix and cluster centers are merged into one single updating process to evade the large storage requirement. The circuit is used as a hardware accelerator of a softcore processor in a system-on-programmable chip for physical performance measurement. Experimental results show that the proposed solution is an effective alternative for cluster analysis with low computational cost and high performance.
Estimation of Distribution Algorithms with Matrix Transpose in Bayesian Learning
Authors: Kim Dae Won , Ko Song , Kang Bo Yeong
Published: March 2013

Estimation of distribution algorithms (EDAs) constitute a new branch of evolutionary optimization algorithms, providing effective and efficient optimization performance in a variety of research areas. Recent studies have proposed new EDAs that employ mutation operators in standard EDAs to increase the population diversity. We present a new mutation operator, a matrix transpose, specifically designed for Bayesian structure learning, and we evaluate its performance in Bayesian structure learning. The results indicate that EDAs with transpose mutation give markedly better performance than conventional EDAs.
Flower Image Recognition Using Multi-Class SVM
Authors: Lee Hyo Haeng , Li Xiang Hua , Chung Kwang Woo , Hong Kwang Seok
Published: March 2013

This In this paper, a specific system is developed to recognize images of flower types. The proposed automatic flower boundary extraction method consists of two major procedures: the detection of four edge points and boundary tracing. Flower recognition includes two stages: feature extraction and matching. For the flower boundary extraction portion, we present a new technique for automatically identifying a flower’s boundary in an image. For boundary tracing, an intelligent scissors algorithm is applied. The color gradient magnitude cost term is implemented so that it can act directly on the three components of the color image. Suggested extraction of the characteristics has used division of the image in three levels (level 1, level 2, and level 3), the RGB and YCbCr of each level, the minimum Euclidean distance value of eight colors, and the number of petals. Using multi-class SVM, this dissertation derived 97.07% recognition of thirteen different types of flower images.
High Order Lambda Measure Based Choquet Integral Composition Forecasting Model
Authors: Liu Hsiang Chuan , Chen Wei Sung , Shia Ben Chang , Lee Chia Chen , Ou Shang Ling , Ou Yih Chang , Su Chih Hsiung
Published: March 2013

In this paper, a novel fuzzy measure, high order lambda measure, was proposed, based on the Choquet integral with respect to this new measure, a novel composition forecasting model which composed the GM(1,1) forecasting model, the time series model and the exponential smoothing model was also proposed. For evaluating the efficiency of this improved composition forecasting model, an experiment with a real data by using the 5 fold cross validation mean square error was conducted. The performances of Choquet integral composition forecasting model with the P-measure, Lambda-measure, L-measure and high order lambda measure, respectively, a ridge regression composition forecasting model and a multiple linear regression composition forecasting model and the traditional linear weighted composition forecasting model were compared. The experimental results showed that the Choquet integral composition forecasting model with respect to the high order lambda measure has the best performance.
High Resolution Time-Frequency Analysis Base on Ricker Atom Matching Pursuit Decomposition
Authors: Song Wei , Zuo Jia Hui , Hu Peng Cheng
Published: March 2013

The high accuracy time-frequency representation of non-stationary signals is one of the key researches in seismic signal analysis. Low-frequency part of the seismic data often has a higher frequency resolution, on the contrary it tends to have lower frequency resolution in the high frequency part. It’s difficult to fine characterize the time-frequency variation of non-stationary seismic signals by conventional time-frequency analysis methods due to the limitation of the window function. Therefore based on the Ricker wavelet, we put forward the matching pursuit seismic trace decomposition method. It decomposes the seismic records into a series of single component atoms with different centre time, dominant frequency and energy, by making use of the Wigner-Ville distribution, has the time-frequency resolution of seismic signal reach the limiting resolution of the uncertainty principle and skillfully avoid the impact of interference terms in conventional Wigner-Ville distribution.
Image Segmentation Based on Poisson Equation
Authors: Zhou Zhi Heng , Zhong Hui Qiang
Published: March 2013

Image segmentation is an important part of the image processing. Currently, image segmentation methods are mainly the threshold-based segmentation method, the region-based segmentation method, the edge-based segmentation method and the Snake model based on energy function etc. This paper presents a novel image segmentation method based on the Poisson equation. The goal of the segmentation method is to divide the image into two homogeneous parts, the boundary portion and the non-boundary portion, which have similar gray values in homogeneous part. The key of the method is to build a Poisson equation with Dirichlet boundary condition. It sets a gradient threshold as the Dirichlet boundary condition of the Poisson equation, and gets a binary image by retaining the image boundary and smoothing the non-image boundary. Then simple binary segmentation will be able to get the image boundary. The experimental results show that this segmentation method can get accurate image boundaries for non-noise images and the weak noise images.
Theoretical Approach to Reduced Q-Matrix for Cognition Diagnosis
Authors: Liu Hsiang Chuan
Published: March 2013

The main issue of the Q-matrix theory for cognition diagnosis is how to find the reduced Q-matrix containing the all efficient items. In this paper, based on the attribute structure matrix transformation, a novel recognition function for an efficient item vector is proposed. Two fast algorithms, transformation algorithm and expansion algorithm for finding the reduced Q-matrix are proposed as well. Some important properties are also discussed.
Reversible Data Hiding Exploiting Coefficients Histogram in Wavelet Transform Domain
Authors: Yin Te Lung , Luo Xu Ren
Published: March 2013

Reversible data hiding has drawn lots of interest in the last a few years. With reversibility, original media can be recovered without any distortion from the marked media after the embedded data has been extracted. In this paper, we present a new scheme which utilizes the wavelet transform and better exploited large variance of wavelet coefficient differences to achieve high capacity and imperceptibility. With the particularity of minor changes in the wavelet coefficients after embedding data, low visual distortion can therefore be obtained in the marked image. Furthermore, an extraordinary attribute of our scheme is that the use of embedding level differs greatly from previous schemes. Experimental results showed that the performance our scheme outperforms the state-of-the-art reversible data hiding schemes.
Study on Communication Protocol Application in Smart Grid
Authors: Ke Yi Kuan , Huang Pei Hwa , Hsu Chia Yu , Huang Bo Yuan
Published: March 2013

The main purpose of this paper is to study the application of IEC61850 in the smart grid. Smart grid is going through significant development due to the inclusion of microgrid in a view to increasing power capability and decreasing power losses and pollution. IEC61850 provides one feasible solution for integrating various functions of intelligent devices in the smart grid. The message interchange via IEC61850 is based on TCP/IP network protocol and the broadcasting mode. It is found that the information communication among Intelligent Electronic Devices (IEDs) can be achieved by the proposed network protocol based on IEC61850 and GOOSE application.
The Effect of Annealing Temperature on the Opt-Electric Properties of Ti:GZO Transparent Conducting OxidesThin Film
Authors: Chen Tao Hsing , Liao Tzu Yu
Published: March 2013

This study utilizes radio frequency magnetron sputtering(RF-sputtering) to deposit GZO transparent conductive film and Ti thin film on the same corning glass substrate, then treats GZO/Ti thin film with rapid thermal annealing. The annealing temperature is 300, 500 and 550°C, respectively. Moreover, the effects of process parameters on resistivity and optical properties are investigated. The deposited rate, microstructure, thickness and Optical transmission of Ti:GZO thin film are performed. For example, the thicknesses of films were determined by -step profilometer. The crystalline characteristics of thin films were investigated by X-ray diffraction (XRD). Ga and Ti concentration in ZnO film were determined by energy dispersive X-ray spectroscopy (EDS). The electrical properties of the Ti:GZO thin films were measured by Four point probe. The optical properties of Ti:GZO thin films were examined using UV–vis spectrophotometer. The results show that the transmittance of Ti:GZO thin film exhibited an excellent transparency in the visible light field. The resistivity of Ti:GZO decrease with increasing annealing temperature.
A Flexible and Scalable Cooperative Surveillance Technique Using Integrated Ontology Reasoning
Authors: Park Pil Seong , Yang Soo Mi
Published: March 2013

In large-scale smart camera networks, cooperation among devices is required for continuous tracking of targets and higher level reasoning. A large amount of multimedia data with derived metadata is generated and transferred among devices. In this paper, we design a large-scale surveillance system which consists of smart cameras. It complies with the standard specification to ensure interoperability among cameras and flexibility regarding integration of new devices and services. Surveillance data contained in them is integrated and structured according to the ontology, and useful context information can be derived. This paper introduces how to build surveillance knowledge base, import relevant data from other devices, and annotate data on interoperable framework which accommodates to the standard. The annotation process provides an impetus to the improvement of knowledge over time. We define a representative reasoning architecture that provides location-based context induction, and implemented in our test bed site to show superiority in large-scale surveillance.
A Functional Test Bed for Producing Virtual Human's Human-Like Movement Based on Limited Perception
Authors: Han Chang Hee , Kim Won Il , Oh Myoung Ho
Published: March 2013

In this paper, the movement behavior of a virtual human based on realistically limited perception (RLP) is proposed to be human-like. As an interface between perception and movement-path generation, a mapping module is a fundamental component needed by a virtual human. Research of the mapping based on RLP was performed by Hill et al. However, their research was conducted using only a camera’s view point. In this present research, a virtual human’s integration with Hill et al’s mapping and other variables (e.g., enemy emergence) is considered in the context of a reconnaissance mission. The loci of the movement paths that were generated by human subjects and a virtual human based on RLP are compared with each other.
A Security and Efficiency of Authenticated Key Exchange Protocol for Wireless Mobile Ad Hoc Networks
Authors: Lu Erl Huei , Chang Henry Ker Chang , Liaw Shu Hwang , Su Pin Chang
Published: March 2013

Mobile Ad Hoc Networks (MANETs) are infrastructure-free, self-configuring and stand alone wireless networks. Lack of efficient computations and secure based point authentication, the security and efficiency of MANETs have been the biggest challenges in its wide application. Many researchers have applied RSA and ECC cryptography algorithms in building secure ID and key exchange agreement; however, they also have difficult to face the challenges of factoring large composite integers and computing discrete logarithms. Generally, public key infrastructures are assumed to be unavailable in MANETs. The key exchange problem for this type of network has now become important. In this article, we propose a new NTRU-based authenticated key exchange protocol for MANETs. We take advantage of NTRU cryptosystem of the inherent efficiency and security in this type of wireless networks - without any public key infrastructure - to defend message exchange against the threat of session key attacks, the man-in-the-middle attacks and the brute force attacks.
Neighbor-Index Method for Continuous Window Queries over Wireless Data Broadcast
Authors: Shen Jun Hong , Lu Ching Ta , Jian Ming Shen
Published: March 2013

A continuous window query is an important class of spatial queries for location-based services. It retrieves spatial objects in a fixed window region of every point on a line segment and indicates the valid segments of them. In this paper, we focus on continuous window queries in wireless data broadcast systems. Since the query result of the continuous window queries has the spatial locality, providing neighbor information of spatial objects can guide clients to efficiently retrieve related objects. Therefore, we propose a neighbor-index method to efficiently support the continuous window queries in wireless data broadcast systems. The proposed method interleaves the neighbor information between spatial objects to guide mobile clients to quickly retrieve the answered objects and save the power consumption of the mobile devices. Experimental results show that our method outperforms the distributed indexing.
An Adaptively-Guiding Web-Based E-Learning System Based on Competency-Based Learning Theory
Authors: Hsu Wei Chih , Li Cheng Hsiu
Published: March 2013

Competency-based Learning Theory (CBLT) emphasizes that learners are protagonists in the entire learning process. In order to achieve the predictive learning targets of learners, CBLT make much of the individual differences between learners, and use the personal adaptive learning route in the CBLT procedure with evaluation, feedback, and modification. This paper used CBLT to be a foundation of system design, and to apply the CBLT procedure to guide learners to study adaptively. Our system implemented from CBLT can provide a personal adaptive learning route to learners, and has the adaptively-guiding assistant learning ability to help learners to learn independently and adaptively. The results of the experiment indicate that the learners could learn in the system independently and adaptively without teacher involvement while the learning courses had standard range and could be classified to several categories according the content characters. The results of the experiment proved this Adaptively-guiding Web-based E-learning (AGWBE) System based on CBLT was an effective computer-assisted instruction system that could guide learners to study independently and adaptively, then to share the teacher’s teaching workload efficiently.
An Annotation Watermarking Approach to Image Tagging for Relevant Information Retrieval
Authors: Wang Jenq Haur , Syu Jhih Siang , Liu Chuan Ming , Chen Yen Lin
Published: March 2013

In existing image search systems, image queries can be used to find similar images through content-based image retrieval (CBIR). In order to obtain more related images, users often need to provide descriptions of the image as the keywords for search engine to extract more relevant information. But it is difficult to find appropriate keywords and text description from the image content. Searching for relevant information from search engines takes a lot of time. In this paper, we propose a CBIR system which effectively finds similar images by comparing image contents and the image annotation embedded in the image. First, we use discrete wavelet transform and two-dimensional code to embed the relevant text information or tags into the image. Then, we extract color ratios and Scale-Invariant Feature Transform (SIFT) descriptors as the image features for similarity matching. The experimental results showed that our proposed approach can accurately find similar images, and extract image-related textual information to provide useful tags for users.
An Efficient Partitioning for Object-Relational Data Warehouses
Authors: Liu Julie Yu Chih , Wang Chih Wen , Chan Chen Ya
Published: March 2013

Many partitioning techniques have been proposed to accelerate data access in the data warehouse. However, these techniques cannot be directly applied to object- relational data model. This work proposes a partitioning-based approach for efficiently accessing data in an object-relational data warehouse.
Cloud Based Evolution Algorithm with Feedback Control for Emergency Logistic
Authors: Jian Ming Shen , Jhan Fu Jie , Chang Han Chun , Chou Ta Yuan , Shen Jun Hong
Published: March 2013

This paper develops a parallel and distributed evolutionary algorithm based on the cloud computing environment and feedback control algorithm to help planners solve the emergency logistic problems. The cloud environment is emulated and used as various virtual machines with different types of evolution procedures. To yield both exploration and exploitation, two crossover processes are deployed on different virtual machines. In the process of crossover, local optimal solutions can be competed and evaluated to form new populations so that the search space can be expanded and the advantaged crossover procedures can be further adopted. The proposed feedback control algorithm based on the evaluation of evolution algorithm can interact and emphasize the process with better performance. According to proposed feedback algorithm, virtual machines with different on demand formatted crossover algorithms can be dynamically established and adopted. Taking the advantage of cloud computing environment and the proposed feedback control algorithm of evolution algorithm, planners can take less effort on deploying both computation power and storage space. Also, it can further applied in various complicated applications more practically.
Cluster Search Engine Results with Crowd Intelligence
Authors: Tseng Chun Hsiung , Yang Fu Cheng , Tseng Yu Ping , Chang Yi Yun
Published: March 2013

Most Web users today rely heavily on search engines to gather information. To achieve better search results, some algorithms such as PageRank have been developed. However, most Web search engines employ keyword-based search and thus have some natural weaknesses. Among these problems, a well-known one is that it is very difficult for search engines to infer semantics from user queries and returned results. Hence, despite of efforts of ranking search results, users may still have to navigate through a huge amount of Web pages to locate the desired resources. In this research, the researchers developed a clustering-based methodology to improve the performance of search engines. Instead of extracting features used for clustering from the returned documents, the proposed method extracts features from the delicious service, which is actually a tag provider service. By utilizing such information, the resulting system can benefit from crowd intelligence. The obtained information is then used for enhancing the performance of the ordinary k-means algorithm to achieve better clustering results.
Cryptanalysis and Improvement of a Unique Batch Authentication Protocol for Vehicle-to-Grid Communications
Authors: Tseng Huei Ru
Published: March 2013

The concept of vehicle-to-grid (V2G) is that electric vehicles (EVs) communicate with the smart grid to sell demand response services by delivering electricity into the grid. By letting EVs discharge during peak hours and charge during off-peak hours, V2G networks could bring numerous social and technical benefits to the smart grid. Due to the scale of the network, the speed of the vehicles, their geographic positions, and the very sporadic connectivity between them, V2G communications have the crucial requirements of fast authentication. In 2011, Guo et al. proposed a unique batch authentication protocol for V2G communications. There are three parties in V2G communications, including an aggregator, a smart grid control centre, and individual EVs. The proposed idea is that instead of verifying each packet for each vehicle, the aggregator verifies the received batch of packets with only one signature verification. They used DSA signature for the batch authentication and claimed their protocol is strong enough to defend against security attacks. In this paper, we investigate the security of Guo et al.’s protocol. More precisely, we show that any attackers can easily forge signatures satisfying the batch verification criterion without the knowledge of the signer’s private key. To remedy the security flaw of Guo et al.’s protocol, we proposed a simple and secure improvement of Guo et al.’s protocol. The key point of the improved protocol is that we make multiple signatures in order. The attacker or the dishonest signer cannot transpose these digital signatures such that the aggregator passes the validation of the batch verifying multiple digital signatures. Based on Guo et al.’s protocol, the security of our proposed protocol is the same as that of their protocol except that our improved protocol has no security flaw of their protocol. Therefore, the improved protocol is secure to detect forged multiple signatures.
Defend a System against Keyloggers with a Privilege-Limited Account
Authors: Hung Chien Wei , Hsu Fu Hau , Chen Shih Jen , Hwang Yan Ling , Tso Chang Kuo , Hsu Li Pin
Published: March 2013

Nowadays keystroke logging is one of the most widespread threats used for password theft. In this paper, rather than detecting existing malware or creating a trusted tunnel in the kernel, we present a method called Broker to protect the password that a user provides for a web page to login to a web service. Installing such solutions in a host only requires limited privileges of related computers. The Broker method uses a second device and the Broker server to safely transfer users’ account-related information. Comparing with previous work, the Broker method successfully separates user names and passwords so that even a second device and the Broker server are compromised, users still will not leak their private information to attackers. Finally, the Broker method can be applied to all websites without any modification of them.
Design and Implementation for the Secure ID Management System Based on Virtualization
Authors: Jo Dae Woong , Kim Myung Ho
Published: March 2013

In this paper, we study a solution to solve the authentication problem in the ID management system (IDMS). Our solution is based on the virtualization technology which allows data transfer between two servers in the absence of the network connection. In this paper, we propose a Virtual ID management system (VIDMS) that logically divides the login server and the authentication server in a physical system. The ID authentication process minimizes the security threat in the network since it can be performed using the virtual shared memory in the absence of the network connection. As compared with the existing IDMS, our solution improves the authentication performance (in terms of the speed).
Designing and Realizing of UAV Simulation System
Authors: Wu Yong , Wu Meng Shu , Zhang Jian Dong , Shi Guo Qing
Published: March 2013

This paper discusses an Unmanned Aerial Vehicle simulation system design and implementation, which focuses on the system design, system management, software development, and the information flow management of the whole system. To simulate battlefield environments, this system provides a clear and visual expression way for complex system design. Besides, it provides services for the design, integration testing, experiment, verification and evaluation of complex system. The main tasks of the system include: establish flight control simulation model; construct three-dimensional visual environment model and three-dimensional entity model; In the case of aircraft loading, drive various kinds of simulation modules, use related model of aircraft task / path planning module; display the typical use of aircraft system visually, as combining with three-dimensional visual simulation environment. Based on VC++ and MultiGen Creator/Vega, this simulation system probes into three-dimensional modeling technology and visual simulation-driven. It proposes general techniques route, improves work efficiency and has a wide range of application.
Enhancement of Consistency of UML Diagrams by Cross Checking Rules
Authors: Ha Ilk Yu , Kim Chong Gun
Published: March 2013

UML is a rich semantic language, but it is difficult to ensure consistency of the diagrams you have written. In this paper, we propose cross checking rules to improve consistency among UML diagrams, especially between UML static and dynamic diagrams. We derive integrated metamodels in order to reflect more clear interactions of UML elements in the checking rules and use OCL(Object Constraint Language) to represent the checking rules accurately. By comparing with the well-formed rules of UML specification, we study on consistency of UML diagrams. We also derive integrated metamodels of static and dynamic diagrams by analyzing the relationships of UML diagrams. Finally, we test the usability of derived rules through a case study.
Exploiting Mobile Devices to Assist Identification System of Photos for Social Relationship
Authors: Huang Xin Mao , Kuo Ke Yi , Chiou Yi
Published: March 2013

With the popularity and prevalence of mobile devices, they have become indispensable daily necessities. The rapid development of software and hardware technology has made mobile devices increasingly powerful in function. Mobile devices have been inextricably linked with people’s lives. Moreover, as a result of the prevalence of social networking sites, the topic of people’s social relationship mining has attracted the attention of numerous researchers. This paper presented a mobile device-assisted determining social relationship system, which mainly uses the mobile device to collect geographic information about the surrounding people to determine whether they are within the angle of view of the mobile device's camera. The information is stored in the pictures as the basis for people relationship mining. The proposed approach has automatic and rapid processing capabilities for large amounts of photo data.
Study on CO2 Adsorption on LiOH-Modified Al2O3
Authors: Cho Young Min , Yang Young Min , Park Duck Shin , Kwon Soon Bark , Jung Woo Sung , Lee Ju Yeol
Published: March 2013

LiOH is known to be one of the most efficient CO2 adsorbent because it reacts with CO2 to form Li2CO3. However, LiOH still suffers from lack of enough hardness for practical use. In this study, various substrates, were modified with LiOH. Their X-ray diffraction patterns were investigated, and LiOH peak was observed from all prepared samples. CO2 adsorption capacity of each prepared sample was measured by monitoring CO2 concentration change during the adsorption process under constant CO2 gas inflow condition. LiOH-modified Al2O3 and zeolite 5A showed good CO2 adsorption performance, while LiOH-modified AC and SiO2 showed relatively poor CO2 adsorption. Al2O3 and zeolite 5A contains many basic functional groups of Al3+, which promote the neutralization reaction with acidic CO2. The effect of carrier gas, carrier gas flow rate, initial CO2 concentration, and amount of LiOH-modified Al2O3 loading was investigated. CO2 adsorption performance was better when the carrier gas was N2, because O2 competes with CO2 on LiOH. CO2 adsorption performance was better with lower carrier gas flow rate, lower initial CO2 concentration, and less loading of adsorbent due to the increase of contact time and contact points.
Implementation of Internet Audio Transmission System via Clock Correction
Authors: Sheu Jia Shing , Shou Ho Nien , Lin Wei Jun , Chung Wen Chin
Published: March 2013

Purpose of this research wants to use a device, called Dante board, the board enabled AD converter. It digitalizes audio and transmits the audio using TCP/IP technology through cat5 cable to replace the expensive analog cable used in the past. Still, there are some problems needed to be overcome. First of all, during the analog-to-digital process, distorted audio issues are often encountered due to inconsistency of the encoder during digital sampling. In order to compensate the distortion during the conversion, frequency needs to be filtered out to compensate or attenuate. Secondly, due to delay in Internet transmission, the audio outputs by each device may not be synchronized. Therefore, each device needs to have its own clock to overcome the delay and reach the synchronized effect through clock synchronization. Also, the IEEE1588 precision time protocol (PTP) is used in clock synchronization to synchronize the audio in each device.
Virtual Prototype Design and Test-Simplifying the CAD/Analysis Interface
Authors: Li Qiong , Rubin Carol A.
Published: March 2013

The design of mechanical structural parts is now predominantly a digital process. As an important element of the virtual design cycle, these parts must be tested for their structural integrity using finite element analysis (FEA) software. However, the interface between CAD and FEA is imperfect. The process of preparing CAD models for FEA consumes a great deal of the stress analyst’s time. Existing “automatic” CAD to FEA translators tend to treat all part features as “solid”; this leads to longer computation times and less accurate results for features that can be better characterized as “thin” or “long.” In addition, many features of CAD parts (e.g. fillets and chamfers) are important for their size and shape in the manufactured product, but have relatively little impact on the strength of the part and needlessly complicate the stress analysis—these features are usually removed by the analyst prior to FEA; they may need to be evaluated with additional analyses to test if it is safe to remove them. The Automatic CAD-FEA Interface Project (ACFI), is developing algorithms to make the translation from CAD to FEA seamless and automatic; these algorithms are based on mathematical theory and the principles of theoretical mechanics. This paper presents the latest ACFI advances for (i) automatically evaluating and reworking three dimensional CAD part geometries to prepare them for finite element meshing, (ii) exporting the revised geometries to a preprocessor, and (iii) identifying element type to be associated with each feature geometry. The algorithms used in this work approximate the medial axis transform (MAT) of the CAD part, a “power shape” that represents the three-dimensional solid part. This part can then be evaluated for its geometric properties. This approach has been shown to be a robust method for shape interrogation of three dimensional geometries.
Tile-Based Panoramic View in Mobile Devices
Authors: Tan Kian Lam , Lim Chen Kim , Talib Abdullah Zawawi
Published: March 2013

Cylindrical panoramic view is a 360-degrees horizontal representation of a certain scene. The user can navigate interactively through the scene and change their view angles. Basically, panoramic views are often high-resolution, high-definition and consume a significant amount of bandwidth for transmission through Internet in mobile platform. In this paper, a method is proposed by combining a proposed tile-based algorithm with scrollViewDidScroll protocol of the iOS platform. With the tile-based algorithm, the panoramic views are divided into tiles and only tiles of interest are viewed on the mobile screen. Besides, the scrollViewDidScroll protocol of the iOS platform is used to link back the end of panoramic view with the start of the panoramic view to produce a cylindrical panoramic view. From here, the user can view the same output as panoramic views on a mobile device but using limited bandwidth, memory, and number of processors. Based on the evaluation, the respondents gave favorable response to the method.