• ETRI Journal
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• 제38권5호
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• pp.818-828
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• 2016

This paper proposes a reusable design for the merging process used in three-dimensional High Efficiency Video Coding (3D-HEVC), which can significantly reduce the implementation complexity by eliminating duplicated module redundancies. The majority of inter-prediction coding tools used in 3D-HEVC are utilized through a merge mode, whose extended merging process is based on built-in integration to completely wrap around the HEVC merging process. Consequently, the implementation complexity is unavoidably very high. To facilitate easy market implementation, the design of a legacy codec should be reused in an extended codec if possible. The proposed 3D-HEVC merging process is divided into the base merging process of reusing HEVC modules and reprocessing process of refining the existing processes that have been newly introduced or modified for 3D-HEVC. To create a reusable design, the causal and mutual dependencies between the newly added modules for 3D-HEVC and the reused HEVC modules are eliminated, and the ineffective methods are simplified. In an application of the proposed reusable design, the duplicated reimplementation of HEVC modules, which account for 50.7% of the 3D-HEVC merging process, can be eliminated while maintaining the same coding efficiency. The proposed method has been adopted as a normative coding tool in the 3D-HEVC international standard.

• 한국컴퓨터정보학회논문지
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• 제21권11호
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• pp.93-101
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• 2016

In this paper, we propose a new model, assembled ERP, to analyze the reason why the small and medium sized companies have a low ERP implementation rate and to solve this. As a result of our analysis, the high initial costs and time required for implementing ERP keep such companies from implementing it as they have relatively limited resources. The assembled ERP model, however, reduces the scale of ERP by developing the ERP for the unique business of each and connecting a few 3rd-Party applications as a module to make ERP for common work. Also it enables easier data utilization by drawing up an API list that connects the 3rd-Party applications to the developed ERP when the user lacks knowledge in the master data of the 3rd-Party applications. Therefore it lets the small and medium sized companies introduce the ERP more easily by reducing the costs for ERP implementation and user training.

• 대한전기학회논문지:전력기술부문A
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• 제55권7호
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• pp.297-305
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• 2006

This paper summarizes a development of visualization software for protective engineering in low-voltage power systems. The study is concentrated on the following aspects. First, a software engineering method is applied for designing the object-oriented program. The design and implementation of a Graphic User Interface(GUI) and its integration to a power system framework are developed using object-oriented programming(OOP) in Visual C++. Second, we develop the short circuit analysis module that oriented a low-voltage power system. It is possible to calculate a peak, symmetrical RMS, DC component and asymmetrical fault currents for each time. And it is the first software that can calculate the fault current for single branch of three-phase system. The calculation accuracy is compared with commercial software, and the libraries of low-voltage components are served for convenience use. Third, protective engineering functions are equipped. It is possible to automatically select the circuit breaker which based on the user input characteristics and the fault current calculation and examine the protective coordination. Through the case study, we verified that the developed software can be effectively used to examine the protective engineering in low-voltage power systems.

• 한국정보처리학회논문지
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• 제6권3호
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• pp.804-811
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• 1999

The object-oriented methods are being rapidly accepted as the solution for the software crisis. Object-oriented systems are composed of the integration of independent object modules; their merits are such that it is possible to reuse objects already developed, and that, when changes are required, modifications are restricted to some independent objects such that their affects to other objects are so little. In this paper, we deal with the macro assembler for next-generation microprocessors which has the merits of object methods. Whenever a microprocessor is newly developed, new assembler should be developed or the existing assembler be modified. In the former, it leads to the loss of time and money by the repeated developments, and, in the latter, it causes the problem of inefficient productivity since other modules are to be analyzed for the affections followed by modifications of one module, especially in the existing assemblers. To resolve these problems, the object-oriented macro assembler suggested in this paper consists of independent objects separable such that it shows reusability and reduces the inefficient productivity by minimizing the affects to other objects. Moreover, the object-oriented macro assembler integrates a macro pre-processor into an assembler, and uses automata for analyzing input streams to reduce the compile time.

• 한국방재학회:학술대회논문집
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• 한국방재학회 2008년도 정기총회 및 학술발표대회
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• pp.339-342
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• 2008

최근 이상기후 등의 영향으로 도시침수로 인한 인적 물적 피해가 증가하고 있다. 침수위험지역 관리를 위해 SWMM 등의 유출모형과 GIS (Geographic Information System) 기술을 결합하여 위험지역의 정보를 사전에 제공하려는 연구가 활발히 진행되고 있다. 하지만 대부분의 침수위험지역 관리 시스템의 GIS는 유출모형 등을 통한 수문분석결과를 가시화하는 정도로 활용되고 있으며, 침수관리 시스템을 통한 침수위험지역의 예방/대응 등의 통합된 방재정보를 제공하지 못하고 있다. 따라서 본 논문에서는 도시침수 통합관리 시스템 구축을 위한 모듈로 공간DB기반의 Map Viewer 시스템의 프로토타입을 설계하고, Shape File 포맷의 지도정보를 공간DB로 변환하는 모듈을 구현하였다.

• 한국산학기술학회논문지
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• 제15권5호
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• pp.3153-3158
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• 2014

스쿨존에서 빈번하게 발생하는 어린이 안전사고에 능동적으로 대처하기 위해서는 상황 인식에 대한 자동화된 모듈에 대한 연구가 필요하다. 스쿨존과 같은 지역에서 차량의 진입, 어린이의 객체 인식, 그리고 GPS 좌표 정보를 기반으로 감시 시나리오를 구축하여, 전략화된 시나리오에 맞는 상황이 발생되었다고 판단되면 스쿨존 안전도를 높이기 위해 이에 대한 조치를 취하게 된다. 본 논문에서는 GPS 센서와 영상센서 그리고 네트워크에 연결된 모니터링 서버와의 통합을 기반으로 상황인식 방안을 연구하였다. 영상센서 부문과 GPS분석부문을 통해 상황인식을 객체분석을 수행하고 시나리오에 기반한 상황에 따라 능동적으로 대처할 수 있는 방안을 제안한다.

• 대한원격탐사학회지
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• 제10권2호
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• pp.121-132
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• 1994

A GIS based tactical terrain analysis system named ATTAS(Army Tactical Terrain Analysis Software) has been designed and implemented to support the field commanders for enhancing the capabiliy of their unit and efficiency of weapon system. This system is designed to provide computer graphics environment in which the analyst can interactively operate the entire analyzing process such as selecting the area of interest, performing analysis functions, simulating required battlefield operation and display the results. This system can be divided into three major sections; the terrain analysis modules, utilites, and graphic editor. The terrain analysis module inclused surface analysis, line of sight analysis, enemy disposition, 3D display, radar coverage, logistic route analysis, shortest path analysis, atmospheric phenomena prediction, automated IPB (Inteligence preparation of Battlefield), and other applied analysis. A combination of 2D and 3D computer graphics techniques using the X-window system with OSF/Motif in UNIX workstation was adopted as the user interface. The integration technique of remotely sensed images and GIS data such as precision registration, overlay, and on-line editing was developed and implemented. An efficient image and GIS data management technique was also developed and implemented using Oracle Database Management System.

• 한국정보통신학회:학술대회논문집
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• 한국해양정보통신학회 2009년도 추계학술대회
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• pp.227-230
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• 2009

본 논문에서는 유비쿼터스 네트워크에서 요구되는 다양한 장치의 통합 연동의 방안을 제안한다. 다양한 장치의 연동은 최근에 사용되어지는 고성능의 멀티미디어장치 뿐만 아니라 기존의 가정에서 사용되고 있는 저성능의 단순 가전기기까지 모든 종류의 장치 연결에 제약이 없어야 한다. 이에 본문에서는 기존의 저성능 가전기기를 대상으로 표준 미들웨어를 활용하여 네트워크 프로토콜의 연동을 통해 효율적인 장치의 연결과 제어 관리의 제공을 목적으로 한다.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2023년도 춘계학술발표대회
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• pp.417-419
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• 2023

Hypertension is one of the leading causes of mortality worldwide. In recent years, the incidence of hypertension has increased dramatically, not only among the elderly but also among young people. In this regard, the use of machine-learning methods to diagnose the causes of hypertension has increased in recent years. In this study, we improved the prediction of hypertension detection using Mahalanobis distance-based multivariate outlier removal using the KNHANES database from the Korean national health data and the COVID-19 dataset from Kaggle. This study was divided into two modules. Initially, the data preprocessing step used merged datasets and decision-tree classifier-based feature selection. The next module applies a predictive analysis step to remove multivariate outliers using the Mahalanobis distance from the experimental dataset and makes a prediction of hypertension. In this study, we compared the accuracy of each classification model. The best results showed that the proposed MAH_RF algorithm had an accuracy of 82.66%. The proposed method can be used not only for hypertension but also for the detection of various diseases such as stroke and cardiovascular disease.

• The Plant Pathology Journal
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• 제40권3호
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• pp.290-298
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• 2024

K-Maryblyt has been developed for the effective control of secondary fire blight infections on blossoms and the elimination of primary inoculum sources from cankers and newly emerged shoots early in the season for both apple and pear trees. This model facilitates the precise determination of the blossom infection timing and identification of primary inoculum sources, akin to Maryblyt, predicting flower infections and the appearance of symptoms on various plant parts, including cankers, blossoms, and shoots. Nevertheless, K-Maryblyt has undergone significant improvements: Integration of Phenology Models for both apple and pear trees, Adoption of observed or predicted hourly temperatures for Epiphytic Infection Potential (EIP) calculation, incorporation of adjusted equations resulting in reduced mean error with 10.08 degree-hours (DH) for apple and 9.28 DH for pear, introduction of a relative humidity variable for pear EIP calculation, and adaptation of modified degree-day calculation methods for expected symptoms. Since the transition to a model-based control policy in 2022, the system has disseminated 158,440 messages related to blossom control and symptom prediction to farmers and professional managers in its inaugural year. Furthermore, the system has been refined to include control messages that account for the mechanism of action of pesticides distributed to farmers in specific counties, considering flower opening conditions and weather suitability for spraying. Operating as a pivotal module within the Fire Blight Forecasting Information System (FBcastS), K-Maryblyt plays a crucial role in providing essential fire blight information to farmers, professional managers, and policymakers.