• 컴퓨터교육학회논문지
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• 제23권2호
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• pp.31-39
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• 2020

소프트웨어교육의 중요성이 강조되면서, 초등학생의 컴퓨팅사고력 향상을 위한 다양한 교육이 이루어지고 있다. 하지만 선행연구들을 살펴보면 특정 환경이나 학습자만을 고려한 경우가 많아 학교현장에 적용하는 것에 한계가 있다. 따라서 본 연구에서는 교과서의 내용을 바탕으로 학습자에게 영향을 미칠 수 있는 요인인 교구와 컴퓨팅 사고력에 대한 학습자 수준이라는 특성을 고려한 교수·학습활동을 구성하여 소프트웨어교육을 실시하고, 학습자들의 컴퓨팅사고력 향상도 비교를 통해 효과적인 소프트웨어교육 방법의 방향을 제안하였다. 연구결과 교구와 학습자 수준에 따라서 컴퓨팅사고력 향상에 차이가 있는 것으로 나타났는데 구체적으로 활용 교구에 있어서는 비주얼 프로그래밍과 언플러그드 방식을 활용한 교수·학습활동이 보다 효과적이었으며 학습자 수준에 따라서는 사전검사에서 컴퓨팅사고력의 수준이 낮은 것으로 평가된 학생들이 상대적으로 높은 향상도를 보였다. 이러한 경향은 초등학교 소프트웨어교육에서 교수·학습활동을 구성함에 있어 다양한 학습요인을 고려할 필요성이 요구된다고 보인다.

• 한국정보통신학회논문지
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• 제13권4호
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• pp.828-834
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• 2009

최근 모바일 게임산업은 독립형 게임 위주의 환경에서 수익성이 지속적으로 보장되는 네트워크를 기반으로 한 환경으로 발전해 나가고 있다. 하지만 시중에 서비스되는 대부분의 네트워크 게임의 경우 모바일 대 모바일, PC온라인 대 PC 온라인, 비디오 게임기 대 비디오게임으로 한정되어 있다. 멀티 플랫폼 네트워크게임은 서로 다른 플랫폼과 기기를 사용할 뿐만 아니라, 통신대역폭에 있어서도 차이가 나기 때문에 그 구현에 어려움이 많다. 본 논문은 "눌러 눌러" 라는 아케이드 게임을 통하여 PC 사용자와 모바일 사용자들이 각각 서로 다른 플랫폼 환경에서도 하나의 게임 서버에 접속하여 게임을 즐길 수 있는 멀티 플랫폼 게 임을 소개한다. 본 논문에서는 3세대 멀티 플랫폼 네트워크 게임을 통하여 멀티 플랫폼 게 임의 문제점을 살펴보고, 이를 구현하기 위한 기법들을 설명한다. 본 논문에서 구현한 서버 측의 데이터베이스는 마이크로소프트사의 MS SQL서버를 사용하였으며, PC 게임은 비주얼베이직 환경으로 모바일 게임은 WIPI 환경에서 구현하였다.

• 한국환경과학회지
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• 제14권10호
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• pp.929-935
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• 2005

The Monitoring System developed in this study was designed to help manage the recreational forests by gathering data on visitors' profiles and their opinions about recreational use and related facilities, This data could identify for changing situations in forest recreation demand as well as providing information on planning the management and use of the forest areas in advance. The standardized questionnaire had contained visitor profiles, activities, distribution of use by area, distribution us by time, duration of the visit, expenditure of visitors and information on visitor satisfaction and motivation. Also, the questionnaire had included the evaluations visitors' perception of facilities in order to identify the importance and performance of the various facilities, such as recreational and educational facilities, accomodations, directional signs as well as infrastructure. The monitoring system was developed in the object-oriented programming (OOP) environment. Microsoft Visual Basic 6,0 for the program language, Microsoft Access, and Excel program were used to develop the system. The monitoring system was composed of data input, database, and data analysis system, Once data were put into data input system, it automatically transferred to database, and it eventually produced the results of statistical analysis with one step procedure. This study was integrated with facilities and visitor monitoring system to identify the visitor impact at the recreational forests. In addition, this monitoring system would provide necessary and useful background information for management on recreational use of natural resources in a practical manner.

• 한국경영과학회:학술대회논문집
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• 대한산업공학회/한국경영과학회 2006년도 춘계공동학술대회 논문집
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• pp.373-378
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• 2006

Recently the technical advances and complexities have generated much of the difficulties in managing the project resources, for both scheduling and costing to accomplish the project in the most efficient manner. The project manager is frequently required to render judgments concerning the schedule and resource adjustments. This research develops an analytical model for a schedule-cost and risk analysis based on visual PERT/CPM. We used a three-step approach: 1) in the first step, a deterministic PERT/CPM model for the critical path and estimating the project time schedule and related resource planning and we developed a heuristic model for crash and stretch out analysis based upon a time-cost trade-off associated with the crash and stretch out of the project. 2) In second step, we developed web-based risk evaluation model for project analysis. Major technologies used for this step are AHP (analytic hierarchy process, fuzzy-AHP, multi-attribute analysis, stochastic network simulation, and web based decision support system. Also we have developed computer programs and have shown the results of sample runs for an R&D project risk analysis. 3) We developed an optimization model for project resource allocation. We used AHP weighted values and optimization methods. Computer implementation for this model is provided based on GUI-Type objective-oriented programming for the users and provided displays of all the inputs and outputs in the form of GUI-Type. The results of this research will provide the project managers with efficient management tools.

• Journal of Advanced Marine Engineering and Technology
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• 제40권5호
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• pp.418-428
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• 2016

In this study, a Vessel Shore Report Management System (VSRMS) is developed for the International Maritime Organization (IMO), Maritime Service Portfolio (MSP) Number 8, which comprises vessel shore reporting. Several documents have to be completed before the arrival/departure of a vessel at a port, as each national port has its own reporting format and data. The present vessel reporting system is inefficient, time-consuming, and involves excessive paperwork, which results in duplications and errors. To solve this problem, in this study, the vessel reporting formats and data contents of various national ports are investigated, as at present, the reporting documents required by the current IMO standard includes insufficient information which is requested by national ports. Initially, the vessel reporting information of various national ports are collected and analyzed. Subsequently, a database structure for managing vessel reporting data for ports worldwide is devised. To make the transfer of data and the exchange of information of vessel reports much more reliable, efficient, and paper-free, VSRMS, which is a software application for the simplification and facilitation of vessel report formalities, is developed. This application is developed using the latest Microsoft C#.Net Programming Language in the Microsoft Visual Studio framework 4.5. It provides a user interface and a backend MySQL server used for database management. SAP Crystal Reports 2013 is used for designing and generating vessel reports in the original report formats. The VSRMS can facilitate vessel reporting and improve data accuracy through the reduction of input data, efficient data exchange, and reduction of the cost of communication. Adoption of the VSRMS will allow the vessel shore reporting system to be automated, resulting in enhanced work efficiency for shipping companies. Based on this information system and architecture, the consensus of various international organizations, such as the IMO, the International Association of Marine Aids to Navigation and Lighthouse Authorities (IALA), the Federation of National Associations of Ship Brokers and Agents (FONASBA), and the Baltic and International Maritime Council (BIMCO), is required so that vessel reporting is standardized internationally.

• 한국의학물리학회지:의학물리
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• 제3권1호
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• pp.71-78
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• 1992

생체신호 측정 및 처리에 있어서 GUI(graphic user interface)를 도입, 개인용 컴퓨터에서 실현가능한 신호처리 시스템을 구현하였다. 전치증폭장치에서 입력된 신호를 A/D converter로 처리, RS-232C 통신방식으로 개인용 컴퓨터에 전송 저장한 후, 이를 Windows환경에서 사용할 수 있도록 Visual basic으로 programming하였으며, DPS(digital signal processing)루틴에서 digital filtering, FFT처리 등의 신호처리 및 신호해석을 위한 연산과정을 실행하여 화면과 프린트로 출력 되도록 하였다. 본 연구를 통해서 일예로 heart-rate variability에 적용하였으며, 전치증폭회로 및 시스템 설계에 요구되는 하드웨어와 소프트웨어를 소개하고, 그 출력형태를 나타내었다 이러한 방식은 임상분야에서 개인용 컴퓨터를 이용하여 손쉽게 데이타를 입출력 하므로서 동물실험이나 실제 임상에 적용할 수 있으며, 이러한 시스템의 폭넓고 유용한 활용을 위해서는 신호모델에 대한 최적화 계수 추출, 잡음제거, 해석 및 처리결과를 위한 데이타를 가공하는 연산 소프트웨어 개발의 지속적 연구가 필요할 것으로 보인다.

• 대한전기학회논문지:전력기술부문A
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• 제53권12호
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• pp.637-644
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• 2004

This paper proposes an expert system with the knowledge learning capability which can enhance the safety and effectiveness of substation operation in the automated substation as well as existing substation by inferring multiple events such as main transformer fault, busbar fault and main transformer work schedule under multiple inference mode and multiple objective mode and by considering totally the switch status and the main transformer operating constraints. Especially inference mode includes the local minimum tree search method and pattern recognition method to enhance the performance of real-time bus reconfiguration strategy. The inference engine of the expert system consists of intuitive inferencing part and logical inferencing part. The intuitive inferencing part offers the control strategy corresponding to the event which is most similar to the real event by searching based on a minimum distance classification method of pattern recognition methods. On the other hand, logical inferencing part makes real-time control strategy using real-time mode(best-first search method) when the intuitive inferencing is failed. Also, it builds up a knowledge base or appends a new knowledge to the knowledge base using pattern learning function. The expert system has main transformer fault, main transformer maintenance work and bus fault processing function. It is implemented as computer language, Visual C++ which has a dynamic programming function for implementing of inference engine and a MFC function for implementing of MMI. Finally, it's accuracy and effectiveness is proved by several event simulation works for a typical substation.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제11권1호
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• pp.39-60
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• 2017

In the Cloud, for the scheduling of parallel jobs, there are many tasks in a job and those tasks are executed concurrently on different VMs (Visual machines), where each task of the job will be executed synchronously. The goal of scheduling is to reduce the execution time and to keep the fairness between jobs to prevent some jobs from waiting more time than others. We propose a Cloud model which has multiple Clouds, and under this model, jobs are in different lists according to the waiting time of the jobs and every job has different parallelism. At the same time, a new method-ZOMT (the scheduling parallel tasks based on ZERO-ONE scheduling with multiple targets) is proposed to solve the problem of scheduling parallel jobs in the Cloud. Simulations of ZOMT, AFCFS (Adapted First Come First Served), LJFS (Largest Job First Served) and Fair are executed to test the performance of those methods. Metrics about the waiting time, and response time are used to test the performance of ZOMT. The simulation results have shown that ZOMT not only reduces waiting time and response time, but also provides fairness to jobs.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제11권2호
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• pp.1005-1018
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• 2017

This paper proposes an App Visualization (AppV) based on IoT Self-diagnosis Micro Control Unit (ISMCU) for accident prevention. It collects a current status of a vehicle through a sensor, visualizes it on a smart phone and prevents vehicles from accident. The AppV consists of 5 components. First, a Sensor Layer (SL) judges noxious gas from a current vehicle and a driver's driving habit by collecting data from various sensors such as an Accelerator Position Sensor, an O2 sensor, an Oil Pressure Sensor, etc. and computing the concentration of the CO collected by a semiconductor gas sensor. Second, a Wireless Sensor Communication Layer (WSCL) supports Zigbee, Wi-Fi, and Bluetooth protocol so that it may transfer the sensor data collected in the SL to ISMCU and the data in the ISMCU to a Mobile. Third, an ISMCU integrates the transferred sensor information and transfers the integrated result to a Mobile. Fourth, a Mobile App Block Programming Tool (MABPT) is an independent App generation tool that changes to visual data just the vehicle information which drivers want from a smart phone. Fifth, an Embedded Module (EM) records the data collected through a Smart Phone real time in a Cloud Server. Therefore, because the AppV checks a vehicle' fault and bad driving habits that are not known from sensors and performs self-diagnosis through a mobile, it can reduce time and cost spending on accidents caused by a vehicle's fault and noxious gas emitted to the outside.

• 디지털콘텐츠학회 논문지
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• 제18권4호
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• pp.747-751
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• 2017

네트워크 서버 접근시 발생되는 로그는 네트워크 관리에 필수적인 다양한 정보를 가지고 있다. 이러한 정보에서 네트워크 관리에 유용한 정보를 추출하여 사용자 접속량, 비정상적인 접근 등을 예측하여 네트워크 관리의 효율성을 높이고 비용을 줄일 수 있다. 네트워크 관리자는 SNMP를 활용하여 네트워크상 서버의 CPU, 메모리, 디스크 사용율과 같은 정보를 기반으로 서버의 상태를 실시간으로 파악할 수 있다. 본 논문에서는 네트워크 6가지 로그를 분석하여 사용자의 접속량을 예측에 필요한 정보를 추출한 후 시계열 분석 방법인 이동평균법과 지수평활법을 적용하여 실험하였다. 또한 SNMP 시뮬레이터를 활용하여 서버의 CPU, 메모리, 디스크 사용율에 관한 OID를 추출하여 서버의 상태와 장애 예측을 시계열 분석방법으로 실험한 후 엑셀과 R 프로그래밍언어를 통해 시각화된 예측 결과를 제시하였다.