• The Proceedings of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.11 no.1
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• pp.34-36
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• 1997

In this paper, we introduce the design method using CAE(Computer Aided Engineering) which is profitable in the compatibility and standardization of the developed product and the reduction of construction time and price to develop and design a machine equipment. Particularly, we select the standard model to design or develop from the large machinery to the super precision one, extract the peculiar characters of the model by the close analysis of the physical and technical part, can predict the previous result of experimental characteristics on objective dimensions through the analogical mathematical analysis, and can induce the design model demanded by user investigating optimal data in advance. We present the analogical algorithms and process method of design factors and restriction factors in the systematization design with computer. Then we analyze step functions for each systematization equipment and induce the process of technical data with actuator model.

• Journal of the Society of Naval Architects of Korea
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• v.35 no.4
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• pp.109-117
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• 1998

In a preliminary design available information is limited, so it makes attractive to rely on the design cases of existing ships to design new ships. In this paper a prototype of the case-based conceptual design system of a ship is developed to support systematically the design process. This system not only generates design candidates through a case indexing, but also determines the priorities of the candidates by using nearest neighbor matching algorithm. The final solution is presented through adaptation process. The validation of the system was examined and verified by applying to conceptual ship design stage.

• Proceedings of the Korean Society of Computer Information Conference
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• 2016.01a
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• pp.59-62
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• 2016

최근 무선통신기술과 소형 하드웨어의 발전으로 모든 환경에서 네트워크 및 컴퓨팅이 가능한 IoT(Internet of Things) 기기들이 지속적으로 증가하는 추세이며, 이러한 IoT 트랜드는 지속될 전망이다. 기존 IoT 플랫폼은 일반적으로 전력 사용적인 측면에서 In-memory 컴퓨팅을 지향하지만 이러한 방식은 시스템 에러 발생 시 메모리의 휘발성으로 인해 신뢰성이 저하되는 단점이 있다. 본 논문에서는 전체 시스템의 신뢰성 향상을 위해 XML 형식의 파일과 관계형 데이터베이스를 이용한 IoT 기반 상황 인식 시스템 서버를 설계한다. 설계된 상황 인식 시스템 서버는 추론 엔진을 포함하고 있으며, 사용자가 등록한 룰과 수집된 상황 데이터를 이용하여 전체 시스템을 동작시킨다. 또한, 전체 시스템의 신뢰성을 검증하기 위해 3가지 동작 시나리오를 제안한다.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.8 no.2
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• pp.79-85
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• 2015

Home automation technology combines various devices in home organically with each other to ensure the convenience and improved safety of the home life refers to a technique for improving the human living. Because of the technology needed to make this house before you can act as awareness of your thoughts. In this paper, we implement the system model, such as data collection using a sensor network, and take advantage of the idea that the data itself to the home, and an introduction to the method.

• Proceedings of the KIEE Conference
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• 2001.07d
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• pp.2744-2746
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• 2001

이 논문에서는 이동 로봇을 위하여 퍼지이론과 Dempster-Shafer 이론을 이용한 불확실한 환경에서의 센서기반 네비게이션 방법을 제안한다. 제안된 제어기는 장애물 회피 동작과 목적지 찾기 동작을 위한 2개의 행동 모듈로 구성되어 있다. 2개의 행동 모듈은 각각 퍼지 이론으로 학습되었고, 적절한 행동 선택 방법으로 선택되게끔 하였다. 견고한 퍼지 제어기를 가진 로봇이 실험 환경내에서 안전하게 움직이기 위하여 자동으로 지도를 구축(Map Building) 하도록 하였다. 이 실험에서 구성된 맵은 평면상의 격자를 중심으로 작성되었고 로봇의 센서에서 읽어들인 센서 값은 D-S 추론 이론을 이용하여 기존의 맵과 혼합되어진다. 즉, 로봇이 움직일때 마다 실험 환경내에서 새로운 정보를 읽어 들이고, 그 정보로 인하여 기존의 지도가 새로운 지도로 갱신되는 것이다. 이러한 작업을 거치면서 로봇은 장애물과 충돌없이 배회하는 것 뿐 아니라 설정된 목적지까지도 쉽게 찾아갈 수가 있다. 실험에 대한 안정성과 확신을 검증 받기 위하여 실제 로봇에 적용하기보다는 먼저 이동 로봇의 시뮬레이션으로 실험 해 보고자 한다.

• Journal of The Korean Association of Information Education
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• v.23 no.5
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• pp.499-511
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• 2019

The preceding study of this study developed puzzle-based computer science education programs to enhance the computational thinking of elementary school students over 1 to 3 times. The preceding study then applied such programs into the field, categorized the effects of education into CT creativity and CT cognitive ability to improve the education programs. Based on the results of these preceding studies, the hierarchical Bayesian inference modeling was performed using age and CT thinking ability as parameters. From the results, this study predicted the effectiveness of puzzle-based computer science education programs in middle and high schools and proposed major improvement areas and directions for puzzle-based computer science education programs that are to be deployed in the future throughout middle and high schools.

• The Journal of the Korea institute of electronic communication sciences
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• v.18 no.6
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• pp.1109-1116
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• 2023

Object tracking is used to track a goal in a video sequence by using coordinate information provided as annotation in the first frame of the video. In this paper, we propose a tracking algorithm that combines deep features and region inference modules to improve object tracking accuracy. In order to obtain sufficient object information, a convolution neural network was designed with a Siamese network structure. For object region inference, the region proposal network and overlapping confidence module were applied and used for tracking. The performance of the proposed tracking algorithm was evaluated using the Object Tracking Benchmark dataset, and it achieved 69.1% in the Success index and 89.3% in the Precision Metrics.

• Journal of Korean Home Economics Education Association
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• v.23 no.3
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• pp.161-183
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• 2011

This study aims to design, develop the impact of a high school course in practical problem- focused teaching plan which will enable students to deal with an aging society, and prepare well for the aging by looking at issues the elderly face. This study set a target of analyzing the 2007 revised curriculum manual to develop instructor-led teaching and learning plans for 'Successful aging preparation'. Five common subjects were reframed on a practical problem basis through factor analysis of preliminary research regarding aging education for teenagers and the 2007 revised curriculum and textbooks of Technology Home Economics, and Human Development. The practical problem was 'What do we need to do to Successfully live an independent life in aging?', and the subjects studied to answer this question were the aging society and population changes. the nature of the elderly, aging preparation, care of the elderly, and welfare services for the elderly. These five subjects were grouped under the main categories of The Aging Society. Understanding the Elderly, and aging Preparation. The ultimate objective of the lessons was, through critical reasoning, to inquire into the causes of current problems the elderly face so that teenagers can understand aging societies and the elderly, and prepare for a Successful aging. Another objective was to seek reasonable alternatives for teenagers as they prepare for Successful and independent aging, and increase their problem-solving abilities in choosing the best course of action by considering the ripple effect of consequences of each of those alternatives. The practical problem-teaching lesson plans consisted of five classes on practical reasoning instruction. This study suggests that new high school curricula should include lessons on preparation for aging so that students can deal successfully with our aging society.

• The Journal of Bigdata
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• v.8 no.1
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• pp.49-59
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• 2023

There are various items in the safety and health standards of the manufacturing industry, but they can be divided into work-related diseases and musculoskeletal diseases according to the standards for sickness and accident victims. Musculoskeletal diseases occur frequently in manufacturing and can lead to a decrease in labor productivity and a weakening of competitiveness in manufacturing. In this paper, to detect the musculoskeletal harmful factors of manufacturing workers, we defined the musculoskeletal load work factor analysis, harmful load working postures, and key points matching, and constructed data for Artificial Intelligence(AI) learning. To check the effectiveness of the suggested dataset, AI algorithms such as YOLO, Lite-HRNet, and EfficientNet were used to train and verify. Our experimental results the human detection accuracy is 99%, the key points matching accuracy of the detected person is @AP0.5 88%, and the accuracy of working postures evaluation by integrating the inferred matching positions is LEGS 72.2%, NECT 85.7%, TRUNK 81.9%, UPPERARM 79.8%, and LOWERARM 92.7%, and considered the necessity for research that can prevent deep learning-based musculoskeletal diseases.

• Journal of Internet Computing and Services
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• v.11 no.4
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• pp.107-117
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• 2010

The feature models representing the common and variable concepts among the software products and the feature configurations generated by selecting the features to be included in the target product are the essential components in the software product lines methodology. Although the researches on the formal semantics and reasoning of the feature models and feature configurations are in progress, the researches on feature model ontologies and feature configuration validation using the semantic web technologies are yet insufficient. This paper defines the formal semantics of the feature models and proposes a feature configuration validation technique based on ontology and semantic web technologies. OWL(Web Ontology Language), a semantic web standard language, is used to represent the knowledge in the feature models and the feature configurations. SWRL(Semantic Web Rule Language), a semantic web rule languages, is used to define the rules to validate the feature configurations. The approach in this paper provides the formal semantic of the feature models, automates the validation of feature configurations, and enables the application of various semantic web technologies, such as SQWRL.