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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 5, Issue 8 - Aug 2016
Volume 5, Issue 7 - Jul 2016
Volume 5, Issue 6 - Jun 2016
Volume 5, Issue 5 - May 2016
Volume 5, Issue 4 - Apr 2016
Volume 5, Issue 3 - Mar 2016
Volume 5, Issue 2 - Feb 2016
Volume 5, Issue 1 - Jan 2016
Selecting the target year
A Study on SW Development Process for Increasing Computational Thinking
Yoo, In Hwan ;
KIPS Transactions on Software and Data Engineering, volume 5, issue 2, 2016, Pages 51~58
DOI : 10.3745/KTSDE.2016.5.2.51
The importance of SW education is being stressed recent days, and the App Inventor is getting attention as a tool of SW education. In this study, I have developed an app Inventor instruction model, which is based on the Design Based Learning and integrated with elements of computational thinking. And I taught the student to apply this model. and then analyzed the app production process and the changes of student. In developing the app, students defined the problem and made a plan to resolve them. And this student had have a sense of accomplishment and self-confidence through practical experience to implement it in their own source code.
A Light-Weight Rule Engine for Context-Aware Services
Yoo, Seung-Kyu ; Cho, Sang-Young ;
KIPS Transactions on Software and Data Engineering, volume 5, issue 2, 2016, Pages 59~68
DOI : 10.3745/KTSDE.2016.5.2.59
Context-aware services recognize the context of situation environments of users and provide useful services according to the context for users. Usual rule-based systems can be used for context-aware services with the specified rules that express context information and operations. This paper proposes a light-weight rule engine that minimizes memory consumption for resource-constrained smart things. The rule engine manages rules at the minimum condition level, removes memories for intermediate rule matching results, and uses hash tables to store rules and context information efficiently. The implemented engine is verified using a rule set of a mouse training system and experiment results shows the engines consumes very little memory compared to the existing Rete algorithm with some sacrifice of execution time.
Brain MRI Template-Driven Medical Images Mapping Method Based on Semantic Features for Ischemic Stroke
Park, Ye-Seul ; Lee, Meeyeon ; Lee, Jung-Won ;
KIPS Transactions on Software and Data Engineering, volume 5, issue 2, 2016, Pages 69~78
DOI : 10.3745/KTSDE.2016.5.2.69
Ischemic stroke is a disease that the brain tissues cannot function by reducing blood flow due to thrombosis or embolisms. Due to the nature of the disease, it is most important to identify the status of cerebral vessel and the medical images are necessarily used for its diagnosis. Among many indicators, brain MRI is most widely utilized because experts can effectively obtain the semantic information such as cerebral anatomy aiding the diagnosis with it. However, in case of emergency diseases like ischemic stroke, even though a intelligent system is required for supporting the prompt diagnosis and treatment, the current systems have some difficulties to provide the information of medical images intuitively. In other words, as the current systems have managed the medical images based on the basic meta-data such as image name, ID and so on, they cannot consider semantic information inherent in medical images. Therefore, in this paper, to provide core information like cerebral anatomy contained in brain MRI, we suggest a template-driven medical images mapping method. The key idea of the method is defining the mapping characteristics between anatomic feature and representative images by using template images that can be representative of the whole brain MRI image set and revealing the semantic relations that only medical experts can check between images. With our method, it will be possible to manage the medical images based on semantic.
Design and Implementation of a Wine Recommendation Mobile Application
Park, Si-Myung ; Yoon, So-Young ; Seo, Eun-Be ; Son, Jong-Seo ; Park, So-Hyun ; Park, Young-Ho ;
KIPS Transactions on Software and Data Engineering, volume 5, issue 2, 2016, Pages 79~88
DOI : 10.3745/KTSDE.2016.5.2.79
Recently, there is an increasing number of startups in wine business because of the rapid growth of wine consumption. The entrepreneurs need support to prepare infrastructure of wine business. Entrepreneurship is a course of preparing funding, personnel, and technology for preliminary entrepreneurs. In this paper, we implement a wine recommendation application for preliminary entrepreneurs of preparing the wine business as part of the technical support project. The proposed application is to collect accurate data using barcode recognition technology. Finally, proposed application aims the building of the wine knowledge-base through the data analysis by applying efficient algorithms.
Facial Expression Recognition Using SIFT Descriptor
Kim, Dong-Ju ; Lee, Sang-Heon ; Sohn, Myoung-Kyu ;
KIPS Transactions on Software and Data Engineering, volume 5, issue 2, 2016, Pages 89~94
DOI : 10.3745/KTSDE.2016.5.2.89
This paper proposed a facial expression recognition approach using SIFT feature and SVM classifier. The SIFT was generally employed as feature descriptor at key-points in object recognition fields. However, this paper applied the SIFT descriptor as feature vector for facial expression recognition. In this paper, the facial feature was extracted by applying SIFT descriptor at each sub-block image without key-point detection procedure, and the facial expression recognition was performed using SVM classifier. The performance evaluation was carried out through comparison with binary pattern feature-based approaches such as LBP and LDP, and the CK facial expression database and the JAFFE facial expression database were used in the experiments. From the experimental results, the proposed method using SIFT descriptor showed performance improvements of 6.06% and 3.87% compared to previous approaches for CK database and JAFFE database, respectively.
UB-IOT Modeling for Pattern Analysis of the Real-Time Biological Data
Shin, Yoon Hwan ; Shin, Ye Ho ; Park, Hyun Woo ; Ryu, Keun Ho ;
KIPS Transactions on Software and Data Engineering, volume 5, issue 2, 2016, Pages 95~106
DOI : 10.3745/KTSDE.2016.5.2.95
Biometric data may appear different depending on the person and sasang Medicine has a close relationship with the Department. Biometric data not only mean a human heart rate, a blood pressure, a heart rate, and the past medical history, degree of aging, body mass index, but also is used as a reference measure for determining the state of health of the person. So biometric data should be reproduced for the application purposes, depending on their applications. In previous studies, because the biometric data is changed in real time and applies only to snap shut at the time of the continuity of the current time is excluded. Therefore, in this study in order to solve this problem, we propose a biometric data patton analysis model comprising a continuity of time in the big data environment consisting of biometric data. The proposed model can help determine the choice of needle position carefully when using the electronic acupuncture for care and health promotion.
A Visual Programming Environment on Tablet PCs to Control Industrial Robots
Park, Eun Ji ; Seo, Kyeong Eun ; Park, Tae Gon ; Sun, Duk Han ; Cho, Hyeonjoong ;
KIPS Transactions on Software and Data Engineering, volume 5, issue 2, 2016, Pages 107~116
DOI : 10.3745/KTSDE.2016.5.2.107
Industrial robots have been usually controlled using text-based programming languages provided by each manufacturer with its button-based TP(Teaching Pendent) terminal. Unfortunately, when we consider that people who manipulate TPs in manufacturing sites are mostly unskilled with no background knowledge about computer programming, these text-based programming languages using button-based interaction on manufacturing sites are too difficult for them to learn and use. In order to overcome the weaknesses of the text-based programming language, we propose a visual programming language that can be easily used on gesture-enabled devices. Especially, in our visual programming environment, each command is represented as a block and robots are controlled by stacking those blocks using drag-and-drop gestures, which is easily learnable even by beginners. In this paper, we utilize a widely-spread device, Tablet PC as the gesture-enabled TP. Considering that Tablet PC has limited display space in contrast to PC environments, we designed different kinds of sets of command blocks and conducted user tests. Based on the experiment results, we propose an effective set of command blocks for Tablet PC environment.