• Journal of Biomedical Engineering Research
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• v.25 no.1
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• pp.77-82
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• 2004

The purpose of this study is to establish a reference for image acquisition for completion of a standard brain for diverse Korean population, and to develop a management system that saves and manage database of the acquired brain image and personal information of those who were tested. 3D MP-RAGE technique, which has excellent SNR and CNR and reduces the times for image acquisition, was selected for anatomical Image acquisition, and parameter values were obtained for the optimal image acquisition. The database management system was devised to obtain not only anatomical image data but also subjects' basic demographic factors, medical history, handedness inventory state-trait anxiety inventory, A-type personality inventory, self-assessment depression inventory questionnaires of Sasang Constitution Mini-Mental State Examination, intelligence test, and personality test via a survey questionnaire and to save and manage the results of the tests. In addition, this system was designed to have functions of saving, inserting, deleting, searching, and Printing of image da a and personal information of subjects, and to have accessibility to them as well as automatic connection setup with ODBC. This newly developed system may have major contribution to the completion of a standard brain of diverse Korean population in that it can save and manage their image date and personal information.

• Journal of KIISE:Information Networking
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• v.28 no.3
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• pp.377-388
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• 2001

An approach for testing multi-protocol Implementation Under Test (IUT) with a single test suite has been proposed in[1]. this paper proposes an algorithm called Multi-protocol Test Method (MPTM) for automatic test case generation based on that approach. With the MPTM, a multi-protocol IUT consisting of two protocol layers is modeled as two Finite State Machines (FSMs), and the relationships between the transitions of the two FSMs are defined as a set of transition relationships pre-execution and carried-by. The proposed algorithm is implemented and applied to a simplified TCP/IP and B-ISDN Signaling/SSCOP. MPTM is able to test the multi-protocol IUT even though the interfaces between the protocol layers are not exposed. It results in that the proposed MPTM allows the same test coverage as conventional test methods even with fewer numbers of test cases.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.40 no.4
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• pp.55-66
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• 2017

Korean small and medium sized software companies have tried to export their solutions or services to overseas markets. In 2016, exports of the software industry increased by 6.0% from the previous year, and the value added of the industry was 2.2 times higher than that of the manufacturing industry. From a long-term perspective, it is important to secure a global competitive advantage in order to sustain the export high value-added of the software industry. The obstacles to entry into the overseas market of small to medium enterprises are as follows: first, difficulty in product development and localization of marketing; second, lack of investment for overseas expansion; and finally, competitiveness of software technology. In particular, To overcome such obstacles, Korean small and medium sized software companies should increase the technical perfection and secure software export competitiveness. The paper presents a payment settlement framework enabling adaptive reuse and semiautomatic development of global payment settlement services. The quantitative and qualitative evaluation results are presented with domestic and overseas case studies as follows: Firstly, semi-automatic development is realized successfully by applying the framework. Secondly, it is possible to maintain consistent quality of software and to deliver maintenance services without relying on the internal human resources. Thirdly, it is possible to reduce the project duration of the same development cope to less than 50% by applying the framework. Finally, because it is based on BPMN 2.0, which is a high level design diagram, it is expected that it will be easy to implement through components connection and reduce difficulties in technology transfer and localization. Also, at the time of runtime operation, it will be effective to understand the design idea easily and to carry out additional developments without human resource who participated in the initial project.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.20 no.10
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• pp.1912-1918
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• 2016

MPTCP(Multipath Transmission Control Protocol) is able to compose many TCP paths when two hosts connect and the data is able to be transported through these paths simultaneously. When a new path is added, the authentication between both hosts is necessary to check the validity of host. So, MPTCP exchanges a key when initiating an connection and makes a token by using this key for authentication. However the original MPTCP is vulnerable to MITM(Man In The Middle) attacks because the key is transported in clear text. Therefore, we applied a ECDH(Elliptic Curve Diffie-Hellman) key exchange algorithm to original MPTCP and replaced the original key to the ECDH public key. And, by generating the secret key after the public key exchanges, only two hosts is able to make the token using the secret key to add new subflow. Also, we designed and implemented a method supporting encryption and decryption of data using a shared secret key to apply confidentiality to original MPTCP.

• The Bulletin of The Korean Astronomical Society
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• v.37 no.2
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• pp.112.1-112.1
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• 2012

We have investigated the relationship between EUV coronal jets and bright points observed by Solar Dynamic Observatory (SDO)/Atmospheric Imaging Assembly (AIA). For this we consider 39 EUV coronal jets from May 2010 to July 2011 in 171 A identified by Heliophysics Events Knowledgebase (HEK) which provides an automatic identification of coronal jets. We look for coronal jet-bright point pairs as follows. First, we select the size of event area as 360 arcsec * 360 arcsec where the coronal jets are located at the center of the area. Second, we select jet-bright point pairs in case that they are located at the same position or just adjacent. Third, we select jet-bright point pairs that are connected by loops each other. Otherwise, we select jet-bright points pairs as the nearest one. As a result, we present 19 coronal jet-bright point pairs. The mean distance of these pairs is 77.24 arcsec. According to their distance and morphological connection, we classify the following three groups: 1) Adjacent (6 events), 2) Loop connected (5 events), and 3) Not connected in appearance (8 events). The histogram of mutual distance has two peaks; the first peak corresponds to the first group and the other one to the second group. We compare these events with previous observations and theoretical models as well as discuss possible physical connections between jets and bright points.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2007.11a
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• pp.358-363
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• 2007

Reinforcing steel work plays an important role in terms of its structural performance or weight of construction cost for reinforced concrete structures. Precise estimation of re-bar quantity gives a basis for managing the reinforcing steel work effectively. However, the estimation process is still performed ineffectively based upon the expert's experience or manpower in spite of the advanced technology or improvement efforts. Therefore, the purpose of this research is to develop a prototype system for taking-off the quantity of reinforcing steel bars quickly and accurately in an order consistent with the specific members identified on the drawings. An estimate algorithm considering the connection, settlement and coating thickness of re-bars was suggested regarding to their replacement conditions which places more emphasis on constructibility. Also, this system produces the shop drawings automatically with the calculation results.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.41 no.2
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• pp.244-253
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• 2016

The QRS complex of ECG signal represents the depolarization and repolarization activities in the cells of ventricle. Accurate informations of $QRS_{onset}$ and $QRS_{offset}$ are needed for automatic analysis of ECG waves. In this study, using the amount of change in the QRS complex voltage values and the distance from the $R_{peak}$, we determined the junction point from Q-wave to R-wave and the junction point from R-wave to S-wave. In the next step, using the integral calculation based on the connection point, we detected $QRS_{onset}$ and $QRS_{offset}$. We use the PhysioNet QT database to evaluate the performances of the algorithm, and calculate the mean and standard deviation of the differences between onsets or offsets manually marked by cardiologists and those detected by the proposed algorithm. The experiment results show that standard deviations are under the tolerances accepted by expert physicians, and outperform the results obtained by the other algorithms.

• KIPS Transactions on Software and Data Engineering
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• v.5 no.11
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• pp.549-554
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• 2016

ConceptNet is a common sense knowledge base which is formed in a semantic graph whose nodes represent concepts and edges show relationships between concepts. As it is difficult to make knowledge base integrity, a knowledge base often suffers from incompleteness problem. Therefore the quality of reasoning performed over such knowledge bases is sometimes unreliable. This work presents neural tensor networks which can alleviate the problem of knowledge bases incompleteness by reasoning new assertions and adding them into ConceptNet. The neural tensor networks are trained with a collection of assertions extracted from ConceptNet. The input of the networks is two concepts, and the output is the confidence score, telling how possible the connection between two concepts is under a specified relationship. The neural tensor networks can expand the usefulness of ConceptNet by increasing the degree of nodes. The accuracy of the neural tensor networks is 87.7% on testing data set. Also the neural tensor networks can predict a new assertion which does not exist in ConceptNet with an accuracy 85.01%.

• Journal of the Korean Institute of Gas
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• v.12 no.2
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• pp.63-68
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• 2008

The ubiquitous technology is capable of innovating various area to constructing intelligent and network to all objects. This technology can construct network infrastructure to facilities for applying legacy industry and need to develop intelligent service that analyze context-aware through network. This paper derive and propose the introduction range of ubiquitous technology, which should be testified and analyzed network, and studied the detection and analysis of information for managing gas facilities. We investigate the current status of gas facilities and automatic reading system, testing and analyzing wireless personal area network and mobile communication by scalability, self-configuration, connection in underground. Furthermore, we propose modelization method for intelligent service and derive the introduction range for applying ubiquitous technologies for managing gas facilities.

• Proceedings of the Korea Water Resources Association Conference
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• 2016.05a
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• pp.169-169
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• 2016

농업 유역 내 수문 순환 및 비점오염원의 발생 및 거동에 대해서 유역단위로서의 많은 연구가 진행되어 왔다. 하지만 유역단위로서의 모의를 통해서는 필지 별 발생되는 농업 비점오염물질을 평가하고 대책을 세우기에는 한계가 있다. 따라서 농업 유역의 농경지를 대상으로 유역단위 모의가 아닌 필지단위 모의를 진행함으로써 농업 비점오염물질에 대한 관리를 해야 할 필요성이 있다. 그리하여 본 연구에서는 필지단위로 상세한 모의가 가능한 ArcAPEX 모형을 사용하였으며 모형 내 임계값 조정을 통한 유역 구분 시 우리나라 지형 및 농업특성 상 지형인자 추출의 어려움으로 Pre-defined Streams and Watersheds 기능을 활용하는 것이 농경지를 대상으로 정확한 필지 분할 및 필지 특성 반영이 될 것이라 판단하였다. 하지만 Pre-defined Streams and Watersheds 기능에 필요한 자료를 구축하는데 시간과 노력이 많이 소모되고 어려움이 있었다. 따라서 본 연구에서는 입력 자료 구축의 편의를 도모하고자 Subarea-Stream 자동 연결 모듈을 개발하여 그 활용성을 평가하고자 하였다. 이를 위해 지형적 특성으로 인해 집약적인 농업이 행해지고 있는 강원도 양구군에 위치한 해안면 유역의 농경지 경계와 하천 및 수로에 대한 자료를 Subarea-Stream 자동 연결 모듈에 입력하여 최종적으로 Pre-defined Streams and Watersheds 기능에 필요한 입력 자료를 변환시켜 모형에 적용하였다. 본 연구결과 Pre-defined Streams and Watersheds 기능에 필요한 입력 자료를 단시간에 편리하게 구축할 수 있었으며, 농경지를 대상으로 필지 단위로 분할이 된 것을 확인 할 수 있었다. 최종적으로 본 연구를 통해 지형인자 추출 오류로 인해 수계 추출 시 나타날 수 있는 문제점에 대한 해결을 할 수 있었으며 모형 내 Pre-defined Streams and Watersheds 입력 자료 구축 시 Subarea-Stream 자동 연결 모듈을 활용한다면 농업 유역 내 농경지에 대해서 편리하게 유역단위에서의 모의가 아닌 필지단위에서의 상세한 모의를 하는데 큰 기여를 할 것이라 판단된다.