• Journal of Korean Academy of Nursing Administration
• /
• v.7 no.3
• /
• pp.425-437
• /
• 2001

This reserch was to develop database software in order to handle a lot of clinical nursing data with nursing diagnoses, related factors, defining characteristics, nursing interventions, nursing activities and nursing outcomes. MS Access2000 and SQL was selected to use a general purpose database logic with an efficiency. MS Visual Basic 6.0 was used to construct the circumstance of Graphic User Interface. The Linkage Database of abdominal surgery patients was constructed from the clinical data and questionnaire. This database system could add related factors, defining characteristics, nursing activities in the database and analyze the statistical results through Access query. In the final stage, end-users satisfaction analysis using 5 points Likert scale was dong with the response of using the database system. The accuracy/trustworthiness of the database system was verified with the highest average scores as 4.42 and also, the efficiency as 4.21, user friendly function as 4.1.

• International Journal of Fuzzy Logic and Intelligent Systems
• /
• v.15 no.2
• /
• pp.87-95
• /
• 2015

In this study, we pursue a new direction for system modeling by introducing the concept of granular models, which produce results in the form of information granules (such as intervals, fuzzy sets, and rough sets). We present a rationale and several key motivating arguments behind the use of granular models and discuss their underlying design processes. The development of the granular model includes optimal allocation of information granularity through optimizing the criteria of coverage and specificity. The emergence and construction of granular models of type-2 and type-n (in general) is discussed. It is shown that achieving a suitable coverage-specificity tradeoff (compromise) is essential for developing granular models.

• Journal of Korea Society of Digital Industry and Information Management
• /
• v.4 no.4
• /
• pp.9-19
• /
• 2008

In this paper, it is studied anti-collision algorithm based on the transmission protocol for RFID baseband system of the lSO/IEC 18000-6 Type-C regulation and designed the baseband part of RFID reader system using FPGA. To compensate this weak point of the slot random aloha algorithm which must have a long time to be dumped before deciding an appropriate slot size according to the number of surrounding tag, we suggested how to apply Bit By Bit algorithm to be able to recognize the tag when the tag is clashing. The design of the baseband part in the RFID reader system is accomplish by use of the ISE9.1i and I made an experiment on it targeting Spartan2. Construction verification is measured each block through Logic Analyzer and I can verify it has no error. I also compared and analyzed the performance between proposed algorithm and past algorithm and verified the improvement of performance.

• Journal of the Korea Computer Industry Society
• /
• v.4 no.10
• /
• pp.587-598
• /
• 2003

This paper construct two-level word similarity relation matrices about title and to scientific treatise. As guide keyword similarity relation matrices which is constructed to co-occurrence frequency base same time keeps recall rater by query expansion by tolerance relation, it is index structure to improve the precision rate by two-level contents base retrieval. Therefore, draw area knowledge through subject analysis and reasoned user's information request and area knowledge to fuzzy logic base. This research is research to improve vocabulary mismatch problem and information expression having essentially on query.

• Proceedings of the KIEE Conference
• /
• 2003.04a
• /
• pp.418-419
• /
• 2003

종래의 케도회로를 사용하지 않는 무선통신기반의 이동폐색방식 열차제어시스템에서는, 궤도회로에 의한 폐색구간를 기반으로 하는 종래의 연동제어논리를 더 이상 사용할 수 없게 된다. 이와 같이 궤도회로를 사용하지 않고 역구내에서의 진로제어를 수행하기 위한 연동논리를 구축하기 위하여, 역구내에서, 장내 및 불발과 분기기 구간 위치에서 가상 섹션을 두어서 열차의 진입 유무를 고정폐색방식으로 치환하고, 진로관리와 연쇄, 선로전환기 제어와 쇄정, 신호제어등의 연동논리를 구축하는 방안을 제시하였다.

• Proceedings of the Korean Geotechical Society Conference
• /
• 2010.03a
• /
• pp.852-855
• /
• 2010

Numerical simulations for large scale triaxial tests with large diameter rockfill materials are conducted using distinct element method. For generation of compacted assembly with specific grain size distribution and initial material porosity, the clump logic method and expansion of generated particles are adapted. With micro parameters which are chosen by calibration process, discrete particle modelling of triaxial test in case of other confining stress and cyclic loading condition were conducted. Also numerical simulations of fluid injection into particulate materials were conducted to observe cavity initiation and propagation using distinct element method. The fluid scheme solves the continuity and Navior-Stokes equations numerically, then derives pressure and velocity vectors for fixed grid by considering the existence of particles within the fluid cell.

• Journal of the Korean Institute of Intelligent Systems
• /
• v.11 no.7
• /
• pp.615-620
• /
• 2001

This paper addresses the design of sliding model fuzzy-model-based controller using genetic algorithms. In general, the construction of fuzzy logic controllers has difficulties for the lack of systematic design procedure. To release this difficulties, the sliding model fuzzy-model-based controllers was presented by authors. In this proposed method, the fuzzy model, which represents the local dynamic behavior of the given nonlinear system, is utilized to construct the controller. The overall controller consists of the local compensators which compensate the local dynamic linear model and the feed-forward controller which is designed via sliding mode control theory. Although, the stability and the performance is guaranteed by the proposed method, some design parameters have to be chosen by the designer manually. This problem can be solved by using genetic algorithms. The proposed method tunes the parameters of the controller, by which the reasonable accuracy and the control effort is achieved. The validity and the efficiency of the proposed method are verified through simulations.

• Journal of the Institute of Electronics Engineers of Korea CI
• /
• v.40 no.4
• /
• pp.181-192
• /
• 2003

Increased vehicles on the restricted road, the conventional traffic light to losses the function of optimal cycle. The conventional traffic light dose not consider passenger car unit ,offset, and length of traffic intersection. As a result, 30~45% of conventional traffic cycle does not match the present traffic cycle. In this paper, we study the disard vantage of conventional traffic light and improve the vehicle average waiting time in the traffic intersection and vehicle average speed using fuzzy logic. Moreover, it will be able to forecast the optimal traffic information, road under construction and dangerous road using internet.

• Journal of Mechanical Science and Technology
• /
• v.15 no.8
• /
• pp.1132-1142
• /
• 2001

The paper describes the construction of global function approximation models for use in design optimization via global search techniques such as genetic algorithms. Two different approximation methods referred to as evolutionary fuzzy modeling (EFM) and neuro-fuzzy modeling (NFM) are implemented in the context of global approximate optimization. EFM and NFM are based on soft computing paradigms utilizing fuzzy systems, neural networks and evolutionary computing techniques. Such approximation methods may have their promising characteristics in a case where the training data is not sufficiently provided or uncertain information may be included in design process. Fuzzy inference system is the central system for of identifying the input/output relationship in both methods. The paper introduces the general procedures including fuzzy rule generation, membership function selection and inference process for EFM and NFM, and presents their generalization capabilities in terms of a number of fuzzy rules and training data with application to a three-bar truss optimization.

• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.17 no.32
• /
• pp.297-308
• /
• 1994

In the information system, there are many fields that used by decision making support system. Nowadays, the reasons that the need of the decision making system in audit is increased, are as follows. \circled1 The increased of competitiveness in audit environment \circled2 The rapid replenishment of computer hardware and computer system in corporations. The purposes of this study are as follows. \circled1 The connection of Internal management assess results and practical examination. \circled2 In the making of audit opinion, the establish of non-measure and evaluate logic. \circled3 The suggestion of knowledge base structure about the audit task. \circled4 The development of prototype system for the accounting audit expert system. The expected usefulness of accounting audit expert system development are as follows. \circled1 Audit time may be saved \circled2 The consistence of opinion will be increased \circled3 The elevation of audit technique \circled4 The decreased of audit risk \circled5 In the decision making rationlization of accounting information users, it will be proved as usefulness.