• 한국정밀공학회지
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• 제16권2호통권95호
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• pp.183-193
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• 1999

In the previous study, a module-type vibration analysis system using modular approach is developed for the purpose of analyzing the torsional vibration of vehicle driveline. In the present paper, the system is utilized to investigate the torsional vibration of the driveline of a middle duty truck. The driveline with driving condition is modeled and the torsional vibration response is simulated. The resonance 45Hz is found at engine speed 900rpm and the resultant vibration is very high. It shows favorable agreements with reference data. The effects of parameter change on torsional vibration are also investigated, so it is clarified that clutch characteristics, axle shaft stiffness are very influential on reduction of vibratio. So the countermeasure is proposed for the clutch characteristics. The reduction of torsonal vibration by 8rad/sec is obtained.

• Nuclear Engineering and Technology
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• 제38권6호
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• pp.575-584
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• 2006

As the development of total management systems for sites along with site environmental information is becoming standard, the system known as the Site Information and Total Environmental database management System (SITES) has been developed over the last two years. The first result was a database management system for storing data obtained from facilities, and a site characterization in addition to an environmental assessment of a site. The SITES database is designed to be effective and practical for use with facility management and safety assessment in relation to Geographic Information Systems. SITES is a total management program, which includes its database, its data analysis system required for site characterization, a safety assessment modeling system and an environment monitoring system. It can contribute to the institutional management of the facility and to its safety reassessment. SITES is composed of two main modules: the SITES Database module (SDM) and the Monitoring & Assessment (M&A) module [1]. The M&A module is subdivided into two sub-modules: the Safety Assessment System (SAS) and the Site Environmental Monitoring System (SEMS). SAS controls the data (input and output) from the SITES DB for the site safety assessment, whereas SEMS controls the data obtained from the records of the measuring sensors and facilities. The on-line site and environmental monitoring data is managed in SEMS. The present paper introduces the procedure and function of the M&A modules.

• 전력전자학회논문지
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• 제25권2호
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• pp.79-86
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• 2020

This study examines the power generation characteristics of a vehicle rooftop photovoltaic module with urban driving conditions. Actual test data with an illuminometer and a thermometer were used to analyze the power generation characteristics of the vehicle rooftop photovoltaic module. In addition, the power generation characteristics were analyzed in terms of urban driving conditions, irradiance, ambient temperature, and photovoltaic module temperature. This study also analyzes the power generation characteristics of the vehicle rooftop photovoltaic module with urban driving conditions through a wavelet transform filtering method. The power generation characteristics of the vehicle rooftop photovoltaic module with urban driving conditions depend on the change in irradiance rather than that in photovoltaic module temperature.

• 전기학회논문지
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• 제66권9호
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• pp.1402-1408
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• 2017

Recently, services for personal biometric data analysis based on real-time monitoring systems has been increasing and many of them have focused on recognition of emotions. In this paper, we propose a classification model to classify anxiety emotion using biometric data actually collected from people. We propose to deploy the support vector machine to build a classification model. In order to improve the classification accuracy, we propose two data pre-processing procedures, which are normalization and data deletion. The proposed algorithms are actually implemented based on Real-time Traffic Flow Measurement structure, which consists of data collection module, data preprocessing module, and creating classification model module. Our experiment results show that the proposed classification model can infers anxiety emotions of people with the accuracy of 65.18%. Moreover, the proposed model with the proposed pre-processing techniques shows the improved accuracy, which is 78.77%. Therefore, we can conclude that the proposed classification model based on the pre-processing process can improve the classification accuracy with lower computation complexity.

• Current Photovoltaic Research
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• 제8권2호
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• pp.54-59
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• 2020

Within the IEA (International Energy Agency) PVPS (Photovoltaic Power System) Programme Task 15, 'Enabling Framework for the Acceleration of BIPV,' a round-robin action focusing on the performance of vertical BIPV elements as a facade in different climatic environments was performed. The performance of identical (both, in construction and bill of materials (BOM)) glass-to-glass c-Si BIPV elements was monitored at seven outdoor test sites in 6 different countries in Europe and Asia. In this work, the comprehensive results of the electrical and corresponding meteorological data will be presented and discussed. The monitored data were merged, processed, and filtered for further analysis. The analysis includes the chracteristics of the module temperatures and the in-plane irradiation at the outdoor test locations, mean daily PR per test module, time series of mean daily performance ratio coefficients, and monthly yield.

• 응용통계연구
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• 제28권6호
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• pp.1275-1288
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• 2015

미기상해석모듈(microscale weather analysis module)은 복사에너지, 열, 습도 등의 순환을 시-공간적으로 세밀하게 설명하고 모의실험 할 수 있도록 개발한 초고분해능($1km{\times}1km$ 이내)의 기상모델이다. 본 논문은 미기상해석모듈의 정확성을 시공간적으로 검증할 수 있도록 고안한 객체기반 검증법을 제안한다. 이 검증법은 통계그래픽을 사용하는 시각적인 방법이며, 미기상해석모듈의 평가통계출력장 구축단계, 객체식별 및 병합단계, 모듈의 정확성 검증단계로 이루진다. 이를 위해 두 가지 통계를 사용하여 삼차원의 평가통계출력장을 구축하였고, 구축된 출력장에서 정의되는 시계열통계들에 대해 합성(convolution), 가면화(masking) 및 병합작업(merging)을 시행하여 출력장에서 모듈검증대상 지역인 객체를 식별하는 알고리즘을 개발하였다. 또한, 사례연구를 통해 제안된 객체기반 검증법의 유용성을 보였다.

• Journal of Information Processing Systems
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• 제16권4호
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• pp.795-808
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• 2020

Due to the poor evaluation indexes such as detection accuracy and recall rate when Yolov3 network detects aircraft in remote sensing images, in this paper, we propose a remote sensing image aircraft detection method based on machine vision. In order to improve the target detection effect, the Inception module was introduced into the Yolov3 network structure, and then the data set was cluster analyzed using the k-means algorithm. In order to obtain the best aircraft detection model, on the basis of our proposed method, we adjusted the network parameters in the pre-training model and improved the resolution of the input image. Finally, our method adopted multi-scale training model. In this paper, we used remote sensing aircraft dataset of RSOD-Dataset to do experiments, and finally proved that our method improved some evaluation indicators. The experiment of this paper proves that our method also has good detection and recognition ability in other ground objects.

• 한국추진공학회:학술대회논문집
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• 한국추진공학회 2012년도 제38회 춘계학술대회논문집
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• pp.586-591
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• 2012

군산 복합화력 발전소에서 운용중인 가스터빈 엔진의 정비 의사 결정을 지원하기 위한 솔루션을 개발하였다. 솔루션은 온라인 상태감시, 기간별 성능 경향분석, 최적 압축기 세정주기 분석, 고온부품 관리 모듈로 구성되어 있다. 운용자가 엔진의 상태 분석 결과를 쉽게 모니터하고 그에 따른 정비의사를 결정할 수 있도록 GUI 플랫폼을 적용하였다. 온라인 상태감시 모듈에서는 기준 성능 대비 실시간 계측데이터의 차이를 분석하여 엔진의 성능저하율을 가시적으로 제시한다. 최적 압축기 세정주기 분석 모듈에서는 경제성 평가 알고리즘을 통해 정비 소요 비용과 성능 저하에 따른 비용 손실의 분석을 통해 순이익이 최대가 되는 세정주기를 제시한다. 엔진의 상태 및 주요 정보를 종합적으로 분석하여 제공함으로써 최적 정비 및 운용이 가능하도록 의사 결정을 지원한다.

• 대한기계학회논문집A
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• 제24권7호
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• pp.1779-1786
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• 2000

Most of traditional design processes of mechanical parts are regarded as sequential and discrete, since different kinds of softwas should be introduced. In this paper, we develop an integrated fram ework for virtual design and performance testing of an automobile seat. The system is composed of four modules, i.e. CAD, static analysis, dynamic analysis, and draft drawing module. In the CAD module, PRO/ENGINEER 3D seat model is created using parameters to be modified with the result of static and dynamic analysis. In the static analysis, headrest tere used in each design stage make it difficult to feedback their results to upstream process. These discrete processes may result in time loss and cost rise. In recent years, life cycle of product is reduced. To have competence with others, new concept design processt is simulated using ANSYS. In the dynamic analysis module, FMVSS201 test is simulated using DADS. Overall data flow is controlled by Motif. The advantage of the system is that even a novice can perform and review the whole design process, without a good hand at professional design/analysis S/W in each stage. The system also provides a virtual design space, where engineers in different development stage can access common data of design models. The concept could be applied to other fields and it could reduce time and money required in design process.

• 한국우주과학회:학술대회논문집(한국우주과학회보)
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• 한국우주과학회 2004년도 한국우주과학회보 제13권2호
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• pp.235-238
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• 2004

In this paper, we will present the implementation method of telemetry trend analysis in KOMPSAT-2 (KOrea Multi Purpose SATellite II), and then we will show the test result of trend analysis with telemetry data. Trend Analysis function is one of the module of Satellite Operations Subsystem and that analyzes the telemetry data of satellite state of health and telemetry trend for operation support. With this system many clients can analyze telemetry data simultaneously.