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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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A Study on Extraction of Defect Causal Variables for Defect Management in Financial Information System
Kang, Tae-Hong ; Rhew, Sung-Yul ;
KIPS Transactions on Software and Data Engineering, volume 2, issue 6, 2013, Pages 369~376
DOI : 10.3745/KTSDE.2013.2.6.369
Finance Information System is critical national infrastructure. Therefore it is important to select variables of defect causal factor for the system defect management effectively. We research and analyze detected errors in A Company`s Finance Information System for three years. In the result of research and analysis, we have selected 9 variables of defect factor: the trading volume, the fluctuation of KOSDAQ index, and the number of public announcements, etc. Then we have assumed that these variables affect real system errors and analyzed correlation between the hypothesis and the detected system errors. After analyzing, we have extracted the trading volume, the number of orders and fills, changing tasks, and the fluctuations of NASDAQ index as valid variables of defect factor. These variables are proposed for failure prediction model as the variables to manage defects in the finance information system afterward.
A Tool for Workflow-based Product Line Software Development
Yang, Jin-Seok ; Kang, Kyo C. ;
KIPS Transactions on Software and Data Engineering, volume 2, issue 6, 2013, Pages 377~382
DOI : 10.3745/KTSDE.2013.2.6.377
A convergence software development methodology based on product line engineering provides an architecture model for application development and it also provides workflow as a behavior specification of control component development to develop transaction centric application. To effect a change on software development based on product line engineering it has to be supported by a tool. But almost workflow modeling tools dose not support product line engineering concept. So we need new workflow modeling tool to support the convergence software development methodology. In this paper, we introduce a toolset for workflow modeling that consists of eclipse plug-in applications and open source tool and describe the relationships of tools through example.
Dynamic Clustering based Optimization Technique and Quality Assessment Model of Mobile Cloud Computing
Kim, Dae Young ; La, Hyun Jung ; Kim, Soo Dong ;
KIPS Transactions on Software and Data Engineering, volume 2, issue 6, 2013, Pages 383~394
DOI : 10.3745/KTSDE.2013.2.6.383
As a way of augmenting constrained resources of mobile devices such as CPU and memory, many works on mobile cloud computing (MCC), where mobile devices utilize remote resources of cloud services or PCs, have been proposed. Typically, in MCC, many nodes with different operating systems and platform and diverse mobile applications or services are located, and a central manager autonomously performs several management tasks to maintain a consistent level of MCC overall quality. However, as there are a larger number of nodes, mobile applications, and services subscribed by the mobile applications and their interactions are extremely increased, a traditional management method of MCC reveals a fundamental problem of degrading its overall performance due to overloaded management tasks to the central manager, i.e. a bottle neck phenomenon. Therefore, in this paper, we propose a clustering-based optimization method to solve performance-related problems on large-scaled MCC and to stabilize its overall quality. With our proposed method, we can ensure to minimize the management overloads and stabilize the quality of MCC in an active and autonomous way.
Smartphone Accelerometer-Based Gesture Recognition and its Robotic Application
Nam, Sang-Ha ; Kim, Joo-Hee ; Heo, Se-Kyeong ; Kim, In-Cheol ;
KIPS Transactions on Software and Data Engineering, volume 2, issue 6, 2013, Pages 395~402
DOI : 10.3745/KTSDE.2013.2.6.395
We propose an accelerometer-based gesture recognition method for smartphone users. In our method, similarities between a new time series accelerometer data and each gesture exemplar are computed with DTW algorithm, and then the best matching gesture is determined based on k-NN algorithm. In order to investigate the performance of our method, we implemented a gesture recognition program working on an Android smartphone and a gesture-based teleoperating robot system. Through a set of user-mixed and user-independent experiments, we showed that the proposed method and implementation have high performance and scalability.
Rule-based System for Loading Multiple Items in Containers for Shipping
Park, Ji Hee ; Lee, Gun Ho ;
KIPS Transactions on Software and Data Engineering, volume 2, issue 6, 2013, Pages 403~412
DOI : 10.3745/KTSDE.2013.2.6.403
This study figures out the concepts of container transport, logistical cost and the distribution of a company through studying documents, and to suggest logistical cost reduction approach, focused on the efficiency of transport which occupied the considerable portion of the total logistical cost of the company. We analyze and discuss the container loading of multiple items for multiple places of departure and arrival through a case study on S company in South Korea. We suggest a direction to reduce the logistical cost of the companies, analyzing the conditions of multiple items loading, and rule-based systems including an algorithm which determines container-loading for minimum freight expenses. We use data mining and OLAP tools of MS Analysis Services to produce loading rules for multiple items loading and generate OLAP cube and decision trees to validate the rules.
A Robust Real-Time Lane Detection for Sloping Roads
Heo, Hwan ; Han, Gi-Tae ;
KIPS Transactions on Software and Data Engineering, volume 2, issue 6, 2013, Pages 413~422
DOI : 10.3745/KTSDE.2013.2.6.413
In this paper, we propose a novel method for real-time lane detection that is robust for inclined roads and not require a camera parameter, the Inverse Perspective Transform of the image, and the proposed lane filter. After finding the vanishing point from the start frame of the image and storing the region surrounding the vanishing point as the Template Area(TA), our method predict the lanes by scanning toward the lower part from the vanishing point of the image and obtain the image removed the perspective effect using the Inverse Perspective Transform coefficients extracted based on the predicted lanes. To robustly determine lanes on inclined roads, the region surrounding the vanishing point is set up as the template area (TA), and, by recalculating the vanishing point by tracing the area similar to the TA (SA) in the input image through template matching, it responds to the changes on the road conditions. The proposed method for a more robust lane detection method for inclined roads is a lane detection method by applying a lane detection filter on an image removed of the perspective effect. Through this method, the processing region is reduced and the processing procedure is simplified to produce a satisfactory lane detection result of about 40 frames per second.
New Effective Korean Character Keypads using Dragging on Smart Phones
Choi, Jaeyoung ; Lim, Sanggul ; Yang, Woocheol ;
KIPS Transactions on Software and Data Engineering, volume 2, issue 6, 2013, Pages 423~432
DOI : 10.3745/KTSDE.2013.2.6.423
Smart phones have been technologically advanced in many ways from basic cellular phones. However, most of all smart phone users in Korea still have been using the traditional Korean character keypads used in the basic cellular phones. It would be required to develop new keypads on smart phones with touch screen. In this paper, we extended the three standard Korean character keypads - Cheonjiin, Naragul, and SKY-Hangul - by adding dragging function on touch screen, then we compared writing speeds of the keypads based on the number of touching buttons and moving distance of the finger while writing a sentence. In addition, we proposed two new Korean keypads - `s-Gana` and `s-Bada`, which are more suitable on smart phones. s-Gana assigned 7 representative consonants and 5 representative vowels in order on the 4x3 keypad, and s-Bada assigned consonants and vowels by considering their frequency of use. s-Gana and s-Bada keypads showed 3~19% and 9~24% of performance improvement, respectively, compared with the standard Korean keypads. Finally, we set up 5 requisites of SELF-T in order to evaluate the usability of Korean character keypads in smart phones, then we compared the keypads using the requisites.
An Automatic Extraction of English-Korean Bilingual Terms by Using Word-level Presumptive Alignment
Lee, Kong Joo ;
KIPS Transactions on Software and Data Engineering, volume 2, issue 6, 2013, Pages 433~442
DOI : 10.3745/KTSDE.2013.2.6.433
A set of bilingual terms is one of the most important factors in building language-related applications such as a machine translation system and a cross-lingual information system. In this paper, we introduce a new approach that automatically extracts candidates of English-Korean bilingual terms by using a bilingual parallel corpus and a basic English-Korean lexicon. This approach can be useful even though the size of the parallel corpus is small. A sentence alignment is achieved first for the document-level parallel corpus. We can align words between a pair of aligned sentences by referencing a basic bilingual lexicon. For unaligned words between a pair of aligned sentences, several assumptions are applied in order to align bilingual term candidates of two languages. A location of a sentence, a relation between words, and linguistic information between two languages are examples of the assumptions. An experimental result shows approximately 71.7% accuracy for the English-Korean bilingual term candidates which are automatically extracted from 1,000 bilingual parallel corpus.