• Journal of Ship and Ocean Technology
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• 제6권4호
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• pp.1-12
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• 2002

A control system for an automated line heating process is developed by use of object-oriented methodology. The main function of the control system is to provide real-time heating information to technicians or automated machines. The information includes heating location, torch speed, heating order, and others. The system development is achieved by following the five steps in the object-oriented procedure. First, requirements are specified and corresponding objects are determined. Then, the analysis, design, and implementation of the proposed system are sequentially carried out. The system consists of six subsystems, or modules. These are (1) the inference module with an artificial neural network algorithm, (2) the analysis module with the Finite Element Method and kinematics analysis, (3) the data access module to store and retrieve the forming information, (4) the communication module, (5) the display module, and (6) the measurement module. The system is useful, irrespective of the heating sources, i.e. flame/gas, laser, or high frequency induction heating. A newly developed automated line heating machine is connected to the proposed system. Experiments and discussions follow.

• 한국컴퓨터정보학회논문지
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• 제19권2호
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• pp.91-99
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• 2014

본 논문은 '바다지도' 데이터를 이용한 지도 기반의 응용시스템을 위한 '바다지도' 데이터 입력 모듈의 설계 및 구현에 관한 것이다. '바다지도' 데이터 입력 모듈은 응용시스템에서 '바다지도' 데이터를 시스템의 내부 자료 구조 및 형식으로 쉽게 변경하여 사용할 수 있도록 일관된 형식으로 '바다지도' 데이터를 입력하여 제공한다. '바다지도' 데이터 입력 모듈의 설계는 '바다지도' 데이터 특성 분석을 바탕으로 하였다. 국제수로기구의 S-57 전자해도 표준의 데이터 형식과 '바다지도' 데이터의 데이터 형식을 비교 분석하고, 이를 바탕으로 전자해도 표준에 따른 전자해도 데이터의 디스플레이 표준인 S-52 표준의 적용이 가능하도록 '바다지도' 데이터를 위한 자료구조를 정의하였다. 그리고 배포형식의 '바다지도' 데이터 셋을 해도 응용시스템에서 이용할 수 있도록 '바다지도' 데이터를 파싱하여 객체를 중심으로 정의한 자료구조로 변환하는 입력 모듈을 설계하고 구현하였다. 또한 '바다지도' 데이터 입력 모듈의 테스트를 위해 '바다지도' 뷰어를 구현하여, 입력 모듈을 테스트하였다.

• 한국정보전자통신기술학회논문지
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• 제9권6호
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• pp.609-616
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• 2016

본 논문에서는 SVM과 협업적 필터링을 이용한 소비자 맞춤형 시장 분석 기법을 제안하였다. 제안하는 소비자 맞춤형 시장 분석 기법은 DC(Data Classification) 모듈, ICF(Improved Collaborative Filtering) 모듈, 그리고 CMA(Customized Market Analysis) 모듈로 구성된다. DC 모듈은 SVM을 이용하여 온 오프라인 쇼핑몰과 전통시장의 특성을 가격, 품질평가, 주력상품으로 분류하고, ICF 모듈은 나이 가중치와 직업 가중치를 추가한 유사도를 생성하고, 사용자들간의 구매 아이템에 대한 유사도를 이용하여 네트워크를 생성하고, 이웃 노드의 추천 리스트를 생성한다. 그리고 CMA 모듈은 DC모듈의 데이터 분류 결과와 ICF 모듈의 추천 리스트를 이용하여 사용자 맞춤형 시장 분석 결과를 제공한다. 제안된 사용자 맞춤형 추천리스트와 기존의 사용자기반 추천 리스트를 비교한 결과, 기존의 협업적 필터링기법을 이용한 추천리스트의 경우, precision는 0.53, recall은 0.56, F-measure은 0,57인데 반해, 제안하는 소비자 맞춤형 추천리스트는 precision이 0.78, recall은 0.85, 그리고 F-measure은 0.81로 나타났다. 즉, 제안하는 소비자 맞춤형 추천리스트가 좀 더 정확한 것으로 나타났다.

• 한국정보처리학회논문지
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• 제7권5호
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• pp.1500-1510
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• 2000

In this paper, a CDMA (Code Division Multiple Access) field engineering system is designed and implemented for managing cellular telecommunication base stations. For high quality of CDMA service, optimized cell planning is crucial. For such cell planning, base stations must be managed based on analysis of CDMA field dta. The proposed system consists of two modules: a measurement module and au analysis of CDMA field dta. eh proposed system consists of tow modules; a measurement module and an analysis module. The measurement module collects various CDMA field dta and displays them on a vector map in a real-time manner. The analysis module associates measured data with various related information, e.g. base station information, and process them statistically. The proposed system can drastically reduce base station management cost.

• 스마트미디어저널
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• 제3권1호
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• pp.16-21
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• 2014

세계 인구의 증가로 인하여 식량에 대한 요구 또한 이에 비례하여 증가하고 있는 가운데 지속적으로 안정적인 가축 공급을 위해서는 농장에 대한 효율적인 관리가 중요하다. 최근 여러 가지 기술적 진보와 혁신에 목축업이나 농업 분야의 생산성이 향상되고 있으며, 각종 스마트 센서와 여러 가지 자동화 디바이스를 이용하여 가축의 생육 상태를 지속적으로 모니터링하고 생산을 관리하는 PLF(Precision Livestock Farming)의 활용이 확산되고 있다. 본 논문은 이미지 프로세싱 기법을 이용하여 가축의 체중을 모니터링하는 swine 관리 시스템에 관한 것으로서 Pig Module, Breeding Module, Health and Medication Module, Weighr Module, Data Analysis Module 및 Report Module을 구현하여 카메라를 통해 획득한 이미지를 이용하여 체중을 자동으로 계산하고 먹이량을 조절하며 건강상태도 모니터링 할 수 있도록 하였다.

• 대한기계학회논문집A
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• 제33권10호
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• pp.1074-1080
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• 2009

A method for determining the geometric stability characteristics of a brake corner module (BCM) is presented. Since disc brake "squeal" noise typically occurs at unstable resonant frequencies of a system, the likelihood of disc brake squeal for a particular design can be determined. Finite element methods are used to derive complex eigenvalue for a brake corner module. Some unstable modes calculated by finite element methods correspond to squeal noise data. Through kinetic energy participation analysis for each part of BCM, we can efficiently predict squeal noise data.

• 한국지능시스템학회논문지
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• 제18권1호
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• pp.133-138
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• 2008

In this paper, we propose a novel anchor shot detection system, named to MASD (Multi-phase Anchor Shot Detection), which is a core step of the preprocessing process for the news video analysis. The proposed system is composed of four modules and operates sequentially: 1) skin color detection module for reducing the candidate face regions; 2) face detection module for finding the key-frames with a facial data; 3) vector representation module for the key-frame images using a non-negative matrix factorization; 4) one class SVM module for determining the anchor shots using a support vector data description. Besides the qualitative analysis, our experiments validate that the proposed system shows not only the comparable accuracy to the recently developed methods, but also more faster detection rate than those of others.

• 인터넷정보학회논문지
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• 제20권2호
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• pp.21-27
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• 2019

The terrestrial ATSC 3.0 broadcasting system, which is capable of converging broadcast and communication services, uses IP based technology for data transmission between broadcasting equipment. In addition, data transmission between broadcasting equipment uses IP-based technology like existing wired communication network, which has advantageous in terms of equipment construction and maintenance In case IP based data transmission technology is used, however, it may inevitably cause an error that a packet is lost during transmission depending on the network environments. In order to cope with a broadcasting accident caused by such a transmission error or a malfunction of a broadcasting apparatus, a broadcasting system is generally configured as a duplication, which can transmit a normal packet when various types of error may occur. By this reason, correction method of error packets and intelligent switching technology are essential. Therefore, in this paper, we propose a design and implementation of intelligent IP switch for Ensuring Reliability of ATSC 3.0 Broadcast Streams. The proposed intelligent IP consists of IP Stream Analysis Module, ALP Stream Analysis Module, STL Stream Analysis Module and SMPTE 2022-1 based FEC Encoding/Decoding Module.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제13권12호
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• pp.5842-5861
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• 2019

A current autonomous vehicle determines its driving strategy by considering only external factors (Pedestrians, road conditions, etc.) without considering the interior condition of the vehicle. To solve the problem, this paper proposes "An Optimal Driving Support Strategy(ODSS) based on an Genetic Algorithm for Autonomous Vehicles" which determines the optimal strategy of an autonomous vehicle by analyzing not only the external factors, but also the internal factors of the vehicle(consumable conditions, RPM levels etc.). The proposed ODSS consists of 4 modules. The first module is a Data Communication Module (DCM) which converts CAN, FlexRay, and HSCAN messages of vehicles into WAVE messages and sends the converted messages to the Cloud and receives the analyzed result from the Cloud using V2X. The second module is a Data Management Module (DMM) that classifies the converted WAVE messages and stores the classified messages in a road state table, a sensor message table, and a vehicle state table. The third module is a Data Analysis Module (DAM) which learns a genetic algorithm using sensor data from vehicles stored in the cloud and determines the optimal driving strategy of an autonomous vehicle. The fourth module is a Data Visualization Module (DVM) which displays the optimal driving strategy and the current driving conditions on a vehicle monitor. This paper compared the DCM with existing vehicle gateways and the DAM with the MLP and RF neural network models to validate the ODSS. In the experiment, the DCM improved a loss rate approximately by 5%, compared with existing vehicle gateways. In addition, because the DAM improved computation time by 40% and 20% separately, compared with the MLP and RF, it determined RPM, speed, steering angle and lane changes faster than them.

• 한국IT서비스학회지
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• 제12권2호
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• pp.361-371
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• 2013

Public domain defect data sets, such as NASA data sets which are available from the NASA MDP and PROMISE repositories, make it possible to compare the results of different defect prediction models by using the same data sets. This means that repeatable and general prediction models can be built. However, some recent studies have raised questions about the quality of two versions of NASA data set, and made new cleaned data sets by applying their data cleaning processes. We find that there are two ways in the NASA MDP versions to determine the defectiveness of a module, 0 or 1, and the two results are different in some cases. This serious problem, to our knowledge, has not been addressed in previous studies. To handle this ambiguity problem, we define two kinds of module defectiveness and two conditions that can be used to determine the ambiguous cases. We meticulously analyze 5 projects among the 13 NASA projects by using our ambiguity analysis method. The results show that JM1 and PC4 are the best projects with few ambiguous cases.