• 한국인터넷방송통신학회논문지
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• 제15권6호
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• pp.303-309
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• 2015

건설공정 및 안전관리는 프로젝트 전 의사결정의 중요한 수단이며, 프로젝트의 비용과 자원, 위험 등의 중요한 관리도구로 제시되기 때문에 프로젝트 결과에 대한 분석 및 평가 자료는 기업의 중요한 자산으로 기록된다. 또한 차후 유사 프로젝트에 대한 의사결정 수단으로 위험요인을 반복적으로 줄이는 안전장치가 되고 있다. 컴포넌트 기반 소프트웨어는 모든 것을 새로 개발하지 않고 준비된 유용한 부분들을 재사용함으로써 새로운 소프트웨어 프로덕트를 구축하여 컴포넌트기반의 소프트웨어 제공을 통한 장기간 지속적/안정적 매출기반을 확보하고 다양한 애플리케이션을 개발 공급하여야 할 것이다. 따라서 본 논문에서는 이러한 문제점을 해결하기 위해서 마인드맵을 이용한 컴포넌트기반 소프트웨어 공급을 통하여 저비용 틈새시장 공략으로 건설공정의 다양성 추세에 따른 비즈니스 효율성을 위한 공정생성 및 변경의 용이성의 증대를 위한 건설공정관리 시스템을 제안한다.

• 한국정밀공학회지
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• 제33권4호
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• pp.287-293
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• 2016

A monobloc tubular drive shaft is designed to obtain the improved structural safety and the weight reduction of the drive shaft together. The monobloc tubular drive shaft can be manufactured from an incremental hot rotary forging process. The aim of this study was to experimentally determine conditions of an incremental hot rotary forging process for a monobloc tubular drive shaft. Induction heating experiments were performed to estimate a proper heating time of an initial workpiece in an induction heating process. Several incremental hot rotary forging experiments were carried out using a mechanical press with the designed set-up. The step distance and the step angle were chosen as controllable forming parameters. Based on the results of the experiments, the influence of forming parameters on the quality of the forged part was investigated. Finally, a forming map and a proper forming condition of the incremental hot rotary forging process were estimated.

• 품질경영학회지
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• 제44권2호
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• pp.277-296
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• 2016

Purpose: Propose model to diagnose and assess National Defense Industry and quality management by investigating and analyzing established standard model. Methods: Research on established internal model including MB, EQA and JQA model and make standard index for quality index extraction and quantitative index to test objectively for internal state. Results: Extract advantage and disadvantage by performance of National Defense Industry level diagnose and build foundation for quality management policy and road map. Conclusion: Due to result of diagnostic assesment of quality management of national defense industry, dependability, SCQM and safety part shows vulnerability and require improvement and support.

• International Journal of Naval Architecture and Ocean Engineering
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• 제8권5호
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• pp.423-433
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• 2016

In this paper, we consider the cybersecurity issue of ship information system (SIS) from a new perspective which is called opacity. For a SIS, its confidential information (named as "secret") may be leaked through the working behaviors of each Distributed Control Unit (DCU) from an outside observer called an "intruder" which is able to determine ship's mission state by detecting the source of each data flow from the corresponding DCUs in SIS. Therefore we proposed a dual layer mechanism to enforce opacity by activating non-essential DCU during secret mission. This mechanism is calculated by two types of insertion functions: Safety-assured insertion function ($f_{IS}$) and Admissibility-assured insertion function ($f_{IA}$). Due to different objectives, $f_{IS}$ is designed to confuse intruder by constructing a non-secret behaviors from a unsafe one, and the division of $f_{IA}$ is to polish the modified output behaviors back to normal. We define the property of "$I_2$-Enforceability" that dual layer insertion functions has the ability to enforce opacity. By a given mission map of SIS and the marked secret missions, we propose an algorithm to select $f_{IS}$ and compute its matchable $f_{IA}$ and then the DCUs which should be activated to release non-essential data flow in each step is calculable.

• 대한공간정보학회지
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• 제23권3호
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• pp.85-93
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• 2015

This paper mainly introduces the methods of extracting landslide information using ALOS(Advanced Land Observing Satellite) images and GIS(Geographical Information System) technology. In this study, we classified images using three different methods which are the unsupervised the supervised and the PCA(Principal Components Analysis) for extracting landslide information based on characteristics of ALOS image. From the image classification results, we found out that the quality of classified image extracted with PCA supervised method was superior than the other images extracted with the other methods. But the accuracy of landslide information extracted from this image classification was still very low as the pixels were very similar between the landslide and safety regions. It means that it is really difficult to distinguish those areas with an image classification method alone because the values of pixels between the landslide and other areas were similar, particularly in a region where the landslide and other areas coexist. To solve this problem, we used the LSM(Landslide Susceptibility Map) created with ArcView software through weighted overlay GIS method in the areas. Finally, the developed LSM was applied to the image classification process using the ALOS images. The accuracy of the extracted landslide information was improved after adopting the PCA and LSM methods. Finally, we found that the landslide region in the study area can be calculated and the accuracy can also be improved with the LSM and PCA image classification methods using GIS tools.

• 설비공학논문집
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• 제22권8호
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• pp.509-514
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• 2010

A numerical simulation of passenger evacuation in a subway station was performed by coupling the passenger flow analysis and the fire simulation. The algorithm of the passenger flow analysis was based on a DEM (Discrete Element Method) using the potential map of the direction vector for each passenger. This algorithm was improved in the present study as to use finer grid smaller than a passenger in order to resolve detailed geometry of the station and to resolve the behavior of passengers in the bottleneck at the ticket gate considering the collision of passengers to a wall or with other passengers. In the fire simulation, the CO distribution predicted by using CFD was used to take into account the effect of toxic gases on the passengers' mobility. The methodology proposed in the present study could be used in designing safer subway station in case of fire occurrence.

• Journal of Information Processing Systems
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• 제14권3호
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• pp.666-679
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• 2018

The discrete wavelet transform (DWT) has good multi-resolution decomposition characteristic and its low frequency component contains the basic information of an image. Based on this, a fragile watermarking using the local binary pattern (LBP) and DWT is proposed for image authentication. In this method, the LBP pattern of low frequency wavelet coefficients is adopted as a feature watermark, and it is inserted into the least significant bit (LSB) of the maximum pixel value in each block of host image. To guarantee the safety of the proposed algorithm, the logistic map is applied to encrypt the watermark. In addition, the locations of the maximum pixel values are stored in advance, which will be used to extract watermark on the receiving side. Due to the use of DWT, the watermarked image generated by the proposed scheme has high visual quality. Compared with other state-of-the-art watermarking methods, experimental results manifest that the proposed algorithm not only has lower watermark payloads, but also achieves good performance in tamper identification and localization for various attacks.

• 전자통신동향분석
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• 제36권4호
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• pp.48-60
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• 2021

Following the global air-traffic market growth outlook, urgency of technical development is needed in responding to changes in the international air-traffic management paradigm and to prepare technology securing and spreading strategies, which are consistent with systematic aviation weather service policies and evolution direction. Although air traffic has decreased significantly due to COVID-19, normalcy is expected from 2024, as announced by IATA. According to the future air transportation market outlook and development trends of related technologies, Korea has established and implementing the next-generation air transportation system construction plan(NARAE) to secure international competitiveness and leadership in the future. Therefore, this paper describes the technical, economic background and requirements of numerical model-based aviation weather R&D projects for successful implementation of domestic NARAE plans and providing aviation safety and air traffic service efficiency. Furthermore, we proposed numerical-model-based technology development content, strategies and detailed load-map.

• 드라이브 ㆍ 컨트롤
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• 제19권3호
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• pp.9-15
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• 2022

This paper proposes a method for constructing and verifying datasets used in deep learning technology, to prevent safety accidents in automated construction machinery or autonomous vehicles. Although open datasets for developing image recognition technologies are challenging to meet requirements desired by users, this study proposes the interface of virtual simulators to facilitate the creation of training datasets desired by users. The pixel-level training image dataset was verified by creating scenarios, including various road types and objects in a virtual environment. Detecting an object from an image may interfere with the accurate path determination due to occlusion areas covered by another object. Thus, we construct a database, for developing an occlusion area detection algorithm in a virtual environment. Additionally, we present the possibility of its use as a deep learning dataset to calculate a grid map, that enables path search considering occlusion areas. Custom datasets are built using the RDBMS system.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2021년도 춘계학술대회
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• pp.502-504
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• 2021

UAV(Unmanned Aerial Vehicle)에 대한 활용영역은 시간이 갈수록 꾸준히 확대되고 있다. 특히 네 개 이상의 수평적인 프로펠러로 구성된 VTOL(Vertical Take-Off and Landing) 기능이 가능한 UAV는 시스템 안정성 및 비교적 단순한 항공역학적 설계 및 구조에 따라 다양한 플랫폼이 등장하고 있으며 비교적 저렴한 가격으로 응용제품들이 시중에 유통이 되고 있다. 대부분의 UAV는 GCS(Ground Control System, 지상시스템)를 통해 임무가 수행된다. 지상시스템은 주로 인터넷에 연결되어있기 때문에, 전자 지도 및 기타 최적의 비행조건(온도, 습도, 풍향 등)을 위한 환경정보를 또한 얻을 수 있다. 본 논문은 AIS(Auto Identification System)를 통해 얻은 정보를 기반으로 식별된 선박으로의 접근 및 감시(monitoring)하기 위한 UAV의 운영기법을 설계한다.