• Journal of Electrical Engineering and Technology
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• 제13권6호
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• pp.2511-2520
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• 2018

In this study, Multi-Radial Basis Function Support Vector Machine (Multi-RBF SVM) classifier is introduced based on a composite kernel function. In the proposed multi-RBF support vector machine classifier, the input space is divided into several local subsets considered for extremely nonlinear classification tasks. Each local subset is expressed as nonlinear classification subspace and mapped into feature space by using kernel function. The composite kernel function employs the dual RBF structure. By capturing the nonlinear distribution knowledge of local subsets, the training data is mapped into higher feature space, then Multi-SVM classifier is realized by using the composite kernel function through optimization procedure similar to conventional SVM classifier. The original training data set is partitioned by using some unsupervised learning methods such as clustering methods. In this study, three types of clustering method are considered such as Affinity propagation (AP), Hard C-Mean (HCM) and Iterative Self-Organizing Data Analysis Technique Algorithm (ISODATA). Experimental results on benchmark machine learning datasets show that the proposed method improves the classification performance efficiently.

• 한국컴퓨터정보학회논문지
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• 제19권12호
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• pp.11-19
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• 2014

본 논문에서는 데이터마이닝모듈과 정보융합모듈을 핵심구성요소로 가지는 지능형에이전트 시스템을 설계하고 다각도 정보를 융합하여 진단전문가시스템으로 활용할 수 있는 가능성을 제시한다. 데이터마이닝모듈에서는 퍼지신경망 OFUN-NET에 의하여 다각도의 데이터를 분석하고 퍼지 클러스터 정보를 지식베이스로 구축한다. 정보융합모듈과 응용모듈에서는 가능성정도로 제공되는 진단결과와 불확실 결정상태나 비대칭의 발견과 같은 전문가의 진단에 유용한 정보를 제공해 주고 있다. 또한 DDSM 벤치마크 데이터베이스로부터 획득한 디지털 유방 x선 영상의 BI-RADS 기반 특징데이터를 가지고 실험한 결과는 기존의 방법보다 높은 분류 정확도를 보여주면서 컴퓨터보조진단시스템으로서의 가능성을 보여주고 있다.

• Journal of Computational Design and Engineering
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• 제1권3호
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• pp.161-172
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• 2014

This paper presents three different search engines for the detection of CAD-parts in large databases. The analysis of the contained information is performed by the export of the data that is stored in the structure trees of the CAD-models. A preparation program generates one XML-file for every model, which in addition to including the data of the structure tree, also owns certain physical properties of each part. The first search engine is specializes in the discovery of standard parts, like screws or washers. The second program uses certain user input as search parameters, and therefore has the ability to perform personalized queries. The third one compares one given reference part with all parts in the database, and locates files that are identical, or similar to, the reference part. All approaches run automatically, and have the analysis of the structure tree in common. Files constructed with CATIA V5, and search engines written with Python have been used for the implementation. The paper also includes a short comparison of the advantages and disadvantages of each program, as well as a performance test.

• International journal of advanced smart convergence
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• 제5권4호
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• pp.48-53
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• 2016

In this paper, all elements used in integrated infrastructure for job competency assessments of NCS (National Competency Standards) will be merged into assessment system using multiple devices(ASMD). NCS is a systematic approach on required abilities (knowledge, technical expertise, attitude) to process the tasks in the fields by industry. Competiveness of ASMD design is that no limitation of time and space using personal devices like PC, laptop, smartphone, and tablet, while seeing screen, hearing, touching, speaking, and writing. Question type can be limitless to express the situation. To lead technologies and market for domestic and oversea assessment system, supporting on multiple devices with connectivity that will eliminate limitation of time and space is the key feature for design competitiveness. Design of integrated assessment system proposed in this paper can be applied to NCS, fundamental competency evaluation, online test, job aptitude test, and foreign language test which involve listening, reading, writing, and speaking. Compared with existing evaluation method, reduction of investment and operating cost will be greater. Along with development of ICT technologies, the next generation of integrated assessment system will be quickly changed to ASMD, which already involves connected service between internet and smart devices.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 1992년도 춘계학술대회 논문집
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• pp.354-358
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• 1992

This paper describes a development of high speed fuzzy inference circuit for the industrialprocesses. The hardware fuzzy inference circuit is developed utilizing a hardware fuzzy inference circuit is developed utilizing a DSP and a multiplier and accumulator chip. To enhance the inference speed, the pipeline disign is adopted at the bottleneck and the general Max-Min inference method is slightly modified as Max-max method. As a results, the inference speed is evaluated to be 100 KFLIPS. Owing to this high speed feature, satisfactory application can be attained for complex high speed motion control as well as the control of multi-input multi-output nonlinear system. As an application, the developed fuzzy inference circuit is embedded to a PLC (Porgrammable Logic Controller) for industrial process control. For the fuzzy PLC system, to fascilitate the design of the fuzzy control knowledge such as membership functions, rules, etc., a MS-Windows based GUI (Graphical User Interface) software is developed.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 1992년도 춘계학술대회 논문집
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• pp.297-300
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• 1992

For the most part of machine design, assembly drawing isaffected byits inserted parts. When a part is inserted in assembly, alreadyd stablished parting line is modified for reasonable representation. for example, break or trim fuction between the lines gives more recognizable drqwing. Most of parts is composed of such that point, line, arc, circle and block. If the part is composed of block, it is very difficult to operate because its attribution is unknown before exploding, but, It is very easy to operate except block. In this paper, it is required that basic feature recognition rules are caused by knowledge-based. This system which shows a good modify tool using AutoCAD system and ADS (Autocad Development System).

• 한국지능시스템학회논문지
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• 제17권3호
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• pp.328-335
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• 2007

온톨로지는 공유된 개념과 그 개념들 사이의 관계로 표현된다. 이러한 온톨로지를 사용하여 인간과 시스템에 대한 지식의 공유에 관한 연구가 활발히 이루어져 왔다. 예를 들면, 온톨로지의 설계 및 구축에 의한 영상이해를 들 수 있다. 그러나 온톨로지에 기반한 영상이해 방식 중 대부분의 기존 방식은 개념적인 연구에 그칠 뿐 구체적인 방법을 제시하지는 못하였다. 본 논문에서는 온톨로지로 표현된 지식에 근거하여 영상을 이해하는 다음과 같은 영상이해 프로세스 및 시스템을 제안한다. i)특정 분야의 지식을 온톨로지로 표현하고, ii)영상 처리 및 분석 과정을 통해 영상을 구성하는 객체들의 특징을 추출하며, iii)객체의 특징으로부터 객체의 개념을 해석하고, iv)온톨로지 추론을 통해 영상 해석 과정에서의 애매성을 줄인다. 제안된 영상 이해 프로세스에 기반하여 영상이해 시스템을 구축하고, 특정 분야에서의 실험을 통하여 제안된 프로세스와 시스템의 효용성을 확인한다.

• 전자공학회논문지CI
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• 제47권3호
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• pp.42-50
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• 2010

기존의 선박 USN 관련 시스템은 선박 USN에서 획득한 데이터를 단순히 모니터링 하는 데 그치고 있으므로 해양의 특성을 고려한 지능적인 의사 결정 알고리즘을 갖는 시스템 구현이 필요하다. 본 논문에서는 사례 기반 추론 기법을 이용하여 디지털 선박의 화재, 파손에 관한 사례를 지식 베이스로 구축하고 추론하는 시스템을 설계하였다. 가장 유사한 사례 추천을 위해 KNN 알고리즘을 이용하였고 화재 상황과 파손 상황 사례 베이스를 구축하기 위하여 각 상황별로 3,000 건의 데이터를 입력받아 실험하였다. 실험 결과 화재 사례와 파손 사례에 대한 평균 정확도는 약 82.5%, 80.1%를 나타냈고 유사도 분류 k 개수가 7인 경우에 최적의 수행 결과를 나타냈다. 또한, 추론된 결과를 이용하여 선박 모니터링 시스템을 구현하였다.

• 디지털산업정보학회논문지
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• 제14권2호
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• pp.69-78
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• 2018

When it comes to the value of modern education, teachers are required to perform the role of a helper to promote interaction between learners, the role of a manager to facilitate smooth learning, and the role of a guide who has expert knowledge in the learning contents. Therefore, this study investigated what kind of learner-centered teaching methods there are, which require teachers to perform the roles of helper, manager, and guide, and conducted a pedagogical research on coding education to explore class models for self-directed learning. Subsequently, a class model was proposed by applying the flipped learning and havruta learning to a coding class. In this study, the learner-centered education methods of flipped learning and havruta method were applied to constructing a coding class as a university general education course. The feature of this class is that it enables dynamic interaction between teachers and learners as well as active interaction between leaners in a classroom instruction. After applying the proposed method to the actual class and analyzing it, the students taught using suggested method were more positively assessed in learning interest than those taught using a traditional method. And that in academic achievement as well, suggested method was more effective.

• 한국정보기술응용학회:학술대회논문집
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• 한국정보기술응용학회 2005년도 6th 2005 International Conference on Computers, Communications and System
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• pp.229-232
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• 2005

In this paper, an image-based "approach-align -grasp" visual servo control design is proposed for the problem of object grasping, which is based on the binocular stand-alone system. The basic idea consists of considering a vision system as a specific sensor dedicated a task and included in a control servo loop, and we perform automatic grasping follows the classical approach of splitting the task into preparation and execution stages. During the execution stage, once the image-based control modeling is established, the control task can be performed automatically. The proposed visual servoing control scheme ensures the convergence of the image-features to desired trajectories by using the Jacobian matrix, which is proved by the Lyapunov stability theory. And we also stress the importance of projective invariant object/gripper alignment. The alignment between two solids in 3-D projective space can be represented with view-invariant, more precisely; it can be easily mapped into an image set-point without any knowledge about the camera parameters. The main feature of this method is that the accuracy associated with the task to be performed is not affected by discrepancies between the Euclidean setups at preparation and at task execution stages. Then according to the projective alignment, the set point can be computed. The robot gripper will move to the desired position with the image-based control law. In this paper we adopt a constant Jacobian online. Such method describe herein integrate vision system, robotics and automatic control to achieve its goal, it overcomes disadvantages of discrepancies between the different Euclidean setups and proposes control law in binocular-stand vision case. The experimental simulation shows that such image-based approach is effective in performing the precise alignment between the robot end-effector and the object.