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REFERENCE LINKING PLATFORM OF KOREA S&T JOURNALS
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KIPS Transactions on Software and Data Engineering
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Korea Information Processing Society
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Volume & Issues
Volume 2, Issue 12 - Dec 2013
Volume 2, Issue 11 - Nov 2013
Volume 2, Issue 10 - Oct 2013
Volume 2, Issue 9 - Sep 2013
Volume 2, Issue 8 - Aug 2013
Volume 2, Issue 7 - Jul 2013
Volume 2, Issue 6 - Jun 2013
Volume 2, Issue 5 - May 2013
Volume 2, Issue 4 - Apr 2013
Volume 2, Issue 3 - Mar 2013
Volume 2, Issue 2 - Feb 2013
Volume 2, Issue 1 - Jan 2013
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Effect Relation-based Coverage and Test Case Generation for GUI Testing of iOS Applications
Seo, Yongjin ; Mun, Daegeon ; Kim, Hyeon Soo ;
KIPS Transactions on Software and Data Engineering, volume 2, issue 3, 2013, Pages 151~160
DOI : 10.3745/KTSDE.2013.2.3.151
iOS applications refer to the apps operating on iOS, a mobile OS developed by Apple. As iOS provides graphic user interfaces based on touch screens, most of iOS apps support GUIs. GUIs become increasingly important for iOS apps. So are GUI tests. As GUI functions are performed by event handlers, faulty event handlers could cause defects in GUIs. Hence, this study detects faults in event handlers as a way to test GUIs for iOS apps, and suggests how to generate test cases by re-defining input domains of event handlers.
eMRA: Extension of MRA Considering the Relationships Between MDR Concepts
Joo, Young-Min ; Kim, Jangwon ; Jeong, Dongwon ; Baik, Doo-Kwon ;
KIPS Transactions on Software and Data Engineering, volume 2, issue 3, 2013, Pages 161~172
DOI : 10.3745/KTSDE.2013.2.3.161
Metadata registry (MDR) is the international standard, developed by ISO/IEC for exchange and sharing data between databases. Many MDR systems are used in diverse domains such as medical service, bibliography, environment for sharing and integrating data. However, those systems have different physical structures individually because the MDR standard defines only the metamodel for registering and storing metadata. It causes heterogeneity between the system structures and requires additional cost to maintain interoperability. ISO/IEC 13249-8 Metadata Registry Access (MRA) is developing as an international standard to provide a consistent access facility to data stored in different metadata registries. However, MRA does not consider the relationships between the concepts (classes) defined in the MDR specification. It causes that incorrect query results returned from MDR systems. It also requires additional cost of modeling and rewriting queries to reflect each physical model. Therefore, this paper suggests eMRA which considers the relationships between the concepts in MDR. The comparative evaluations are described to show the advantages of eMRA. eMRA has superior performance in query modeling and referential integrity than MRA defined by the relationship between the concept of MDR.
Hybrid Schema Matching (HSM): Schema Matching Algorithm for Integrating Geographic Information
Lee, Jiyoon ; Lee, Sukhoon ; Kim, Jangwon ; Jeong, Dongwon ; Baik, Doo-Kwon ;
KIPS Transactions on Software and Data Engineering, volume 2, issue 3, 2013, Pages 173~186
DOI : 10.3745/KTSDE.2013.2.3.173
Web-based map services provide various geographic information that users want to get by continuous updating of data. Those map services provide different information for a geographic object respectively. It causes several problems, and most of all various information cannot be integrated and provided. To resolve the problem, this paper proposes a system which can integrate diverse geographic information and provide users rich geographic information. In this paper, a hybrid schema matching (HSM) algorithm is proposed and the algorithm is a mixture of the adapter-based semantic processing method, static semantic management-based approach, and dynamic semantic management-based approach. A comparative evaluation is described to show effectiveness of the proposed algorithm. The proposed algorithm in this paper improves the accuracy of schema matching because of registration and management of schemas of new semantic information. The proposal enables vocabulary-based schema matching using various schemas, and it thus also supports high usability. Finally, the proposed algorithm is cost-effective by providing the progressive extension of relationships between schema meanings.
Understanding of Structural Changes of Keyword Networks in the Computer Engineering Field
Kwon, Yung-Keun ;
KIPS Transactions on Software and Data Engineering, volume 2, issue 3, 2013, Pages 187~194
DOI : 10.3745/KTSDE.2013.2.3.187
Recently, there have been many trials to analyze characteristics of research trends through a structural analysis of keyword networks in various fields. However, most previous studies have mainly focused on structural analysis harbored in some static networks and there is a lack of research on changes of such networks structure with time. In this paper, we constructed annual keyword networks by using a database of papers published in the international computer engineering-field journals from 2002 through 2011, and examined the changes of them. As a result, it was shown that most keywords in a network are preserved in the network of the next year, and their degree of connectivity and the average weight of the connections were higher and smaller, respectively, than those of the keywords which are not preserved. In addition, when a keyword network shifted to one of the next year, the connections between keywords were more likely to be removed than preserved, and the average weight of the removal connections was higher than that of the preserved ones. These results imply that the keywords are not changed over time but their connections are very likely to be changed; and there is apparent differences between the preserved and removal groups of keywords/connections with respect to degree and weights of connections. All these results are consistently observed over the ten-year datasets and they can be important principles in understanding the structural changes of the keyword networks.
Design and Implementation of a Book Counting System based on the Image Processing
Yum, Hyo-Sub ; Hong, Min ; Oh, Dong-Ik ;
KIPS Transactions on Software and Data Engineering, volume 2, issue 3, 2013, Pages 195~198
DOI : 10.3745/KTSDE.2013.2.3.195
Many libraries utilize RFID tags for checking in and out of books. However, the recognition rate of this automatic process may depend on the orientation of antennas and RFID tags. Therefore we need supplemental systems to improve the recognition rate. The proposed algorithm sets up the ROI of the book existing area from the input image and then performs Canny edge detection algorithm to extract edges of books. Finally Hough line transform algorithm allows to detect the number of books from the extracted edges. To evaluate the performance of the proposed method, we applied our method to 350 book images under various circumstances. We then analyzed the performance of proposed method from results using recognition and mismatch ratio. The experimental result gave us 97.1% accuracy in book counting.
An Implementation of Real-Time Numeral Recognizer Based on Hand Gesture Using Both Gradient and Positional Information
Kim, Ji-Ho ; Park, Yang-Woo ; Han, Kyu-Phil ;
KIPS Transactions on Software and Data Engineering, volume 2, issue 3, 2013, Pages 199~204
DOI : 10.3745/KTSDE.2013.2.3.199
An implementation method of real-time numeral recognizer based on gesture is presented in this paper for various information devices. The proposed algorithm steadily captures the motion of a hand on 3D open space with the Kinect sensor. The captured hand motion is simplified with PCA, in order to preserve the trace consistency and to minimize the trace variations due to noises and size changes. In addition, we also propose a new HMM using both the gradient and the positional features of the simplified hand stroke. As the result, the proposed algorithm has robust characteristics to the variations of the size and speed of hand motion. The recognition rate is increased up to 30%, because of this combined model. Experimental results showed that the proposed algorithm gives a high recognition rate about 98%.
Face Recognition using Modified Local Directional Pattern Image
Kim, Dong-Ju ; Lee, Sang-Heon ; Sohn, Myoung-Kyu ;
KIPS Transactions on Software and Data Engineering, volume 2, issue 3, 2013, Pages 205~208
DOI : 10.3745/KTSDE.2013.2.3.205
Generally, binary pattern transforms have been used in the field of the face recognition and facial expression, since they are robust to illumination. Thus, this paper proposes an illumination-robust face recognition system combining an MLDP, which improves the texture component of the LDP, and a 2D-PCA algorithm. Unlike that binary pattern transforms such as LBP and LDP were used to extract histogram features, the proposed method directly uses the MLDP image for feature extraction by 2D-PCA. The performance evaluation of proposed method was carried out using various algorithms such as PCA, 2D-PCA and Gabor wavelets-based LBP on Yale B and CMU-PIE databases which were constructed under varying lighting condition. From the experimental results, we confirmed that the proposed method showed the best recognition accuracy.
Effective Pose-based Approach with Pose Estimation for Emotional Action Recognition
Kim, Jin Ok ;
KIPS Transactions on Software and Data Engineering, volume 2, issue 3, 2013, Pages 209~218
DOI : 10.3745/KTSDE.2013.2.3.209
Early researches in human action recognition have focused on tracking and classifying articulated body motions. Such methods required accurate segmentation of body parts, which is a sticky task, particularly under realistic imaging conditions. Recent trends of work have become popular towards the use of more and low-level appearance features such as spatio-temporal interest points. Given the great progress in pose estimation over the past few years, redefined views about pose-based approach are needed. This paper addresses the issues of whether it is sufficient to train a classifier only on low-level appearance features in appearance approach and proposes effective pose-based approach with pose estimation for emotional action recognition. In order for these questions to be solved, we compare the performance of pose-based, appearance-based and its combination-based features respectively with respect to scenario of various emotional action recognition. The experiment results show that pose-based features outperform low-level appearance-based approach of features, even when heavily spoiled by noise, suggesting that pose-based approach with pose estimation is beneficial for the emotional action recognition.