• Journal of the Society of Naval Architects of Korea
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• v.52 no.2
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• pp.97-103
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• 2015

This paper has focused on the middle term process planning around quays based on the prefixed long-term plan of the product mixed ships. Recently, the order rate of high add-value ships in domestic shipyards has been sharply increased and the spending time at quays is accordingly on an increasing trend. For proper and practical process planning related to quays, it has to be closely connected with a long-term plan and product calendar, erection network and result of ship allocation around quays. Moreover, it is also required to include the integrated consideration of the whole process of a yard, each ship, and each team respectively. The most distinguishing feature of this study is that it would run on the ship allocation simulator and GIS framework in order not to be limited to the specific one yard and the readers can figure out the optimization formulation containing the work load leveling and a different approach from PERT/CPM. The proposed approach reflected all requirements from the department of process planning and management in a shipyard, and the analysis of the results has explained its performance of the optimization result with the examples of total 43 ships under construction from 2008 to 2013.

• The KIPS Transactions:PartA
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• v.8A no.4
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• pp.429-438
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• 2001

GPS (Global Positioning System) is the most ideal navigation system which can be used on the earth irrespective of time and weather conditions. GPS has been used for various applications such as construction, survey, environment, communication, intelligent vehicles and airplanes and the needs of GPS are increasing in these days. This paper deals with the design and implementation of the RTOS (Real-Time Operating System) for a GPS navigation computer in the GPS/INS integrated navigation system. The RTOS provides the optimal environment for execution and the base platform to develop GPS application programs. The key facilities supplied by the RTOS developed in this paper are priority-based preemptive scheduling policy, dynamic memory management, intelligent interrupt handling, timers and IPC, etc. We also verify the correct operations of all application tasks of the GPS navigation computer on the RTOS and evaluate the performance by measuring the overhead of using the RTOS services.

• The Transactions of the Korea Information Processing Society
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• v.6 no.7
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• pp.1724-1737
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• 1999

Multimedia data service applications have to store and manipulate LOBs(unstructured large objects) composing multimedia data. As such, the tertiary storage devices such as an optical disk jukebox and a tape library that consist of a number of platters (the disks in case of an optical disk jukebox and the cartridge tapes in case of a tape library) have been considered essential for the storage system of a DBMS in order to efficiently support storage and management of vary large volume of data. Since the latency with tertiary storage is too long, the schemes for efficient retrieval of LOBs out of tertiary storage need to be investigated. In this paper, we investigated the tertiary I/O Considering the performance characteristics of the LOBs, we proposed various I/O scheduling heuristic algorithms that reduce latency in query processing with LOB retrieval from tertiary storage, and evaluated their performance through a detailed simulation.

• Journal of KIISE
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• v.42 no.7
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• pp.878-888
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• 2015

Software project planning includes several processes for estimating the effort required to complete software project tasks, allocating human resources to tasks, and creating a project plan. Because software planning is becoming more complicated as the size of software projects grow, it is difficult for project managers to decide on a reasonable project plan. To help them, many automatic software project planning approaches have been proposed. The approaches all focus on minimizing project duration. But if the plan is simply to minimize the duration, without considering software quality, the plan can harm the eventual software quality. In our research to create a reasonable project plan, we consider software quality as well as duration of the project, by defining a software quality score. The project manager can plan the project to maximize software quality for a specific project duration.

• KEPCO Journal on Electric Power and Energy
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• v.5 no.3
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• pp.157-163
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• 2019

K-BEMS System was introduced to reduce peak load and to save total energy of the 120 buildings that KEPCO headquarter and branch offices use. K-BEMS system is composed of PV, battery, and hybrid PCS. In this system, ESS, PV, lighting is used to save building energy based on demand prediction. Currently, neural network technique for short past data is applied to demand prediction, and fixed scheduling method by operator for ESS charging/discharging is used. To enhance this system, KEPCO research institute has carried out this K-BEMS research project for 3 years since January 2016. As the result of this project, we developed new real-time highly reliable building demand prediction technique with error free and optimized automatic ESS charging/discharging technique. Through several field test, we can certify the developed algorithm performance successfully. So we will describe the details in this paper.

• The Journal of Korean Institute of Next Generation Computing
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• v.15 no.4
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• pp.18-29
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• 2019

A dynamic adaptive streaming server consumes high processor power because it handles a large amount of transcoding operations at a time. For this purpose, multi-processor architecture is mandatory for which effective transcoding task distribution strategies are essential. In this paper, we present the design and implementation details of the transcoding workload distribution schemes at a 2-tier (frontend node and backend node) transcoding server. For this, we implemented four schemes: 1) allocation of transcoding tasks to appropriate back-end nodes, 2) task scheduling in the back-end node and 3) the communication between front-end and back-end nodes. Experiments were conducted to compare the estimated and the actual power consumption in a real testbed to verify the efficacy of the system. It also proved that the system can reduce the load on each node to optimize the power and time used for transcoding.

• Journal of Digital Convergence
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• v.17 no.4
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• pp.19-27
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• 2019

The purpose of this study is to develop play education programs based on the instructional systems development (ISD). To achieve the goal, play education programs for elementary school students were developed based on the ADDIE model. Internal researchers, teaching design experts, and subject matter expert reviewed, modified, and developed play and education programs having three modules: design and scheduling, making a model, and preparing an exhibition. Students set up a program to realize the play space they want through collaboration with their peers. The program was applied to fifth grade elementary school students in Chungju for verification of the play and education program. At the end of the play education program, the FGI was conducted on 13 students to measure the overall value of the play education program, including its sustainability. Through these processes, we drew the effects and implications of the play education program and presented future research directions of play education and projects for elementary school students.

• Journal of Navigation and Port Research
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• v.44 no.6
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• pp.501-508
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• 2020

His paper looks more closely at the Republic of Korea's (ROK) Navy submarine berth-allocation strategies, with the study's results ultimately resulting in the proposition of an integer programming model. Current submarine berth-allocation planning problems include the need for more minimal berth-shifting and general support service failures, as a lack of efficient submarine berth-allocation often leads to submarines unable to receive the support service they need due to the inadequacy of their assigned berths. Currently, the ROK Navy allocates berths by only taking available reserve resources and the full-capacity limits of support services into account. This paper expands upon this strategy, and proposes a model which would allow for submarine berth allocation planning to also take submarine support service scheduling into account, allowing for more efficient and timely submarine servicing. This proposed model in turn minimizes berth shifting, support service failures, and allows for full coordination with the submarine support service request schedule. The construction of this model was carried out through data gathered on the ROK Navy's fleets and forces, allowing for a more nuanced analysis of existing issues with submarine berth-allocation planning.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.10a
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• pp.370-372
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• 2021

According to the Clinical Research Center for Dementia, 840,000 Koreans aged 65 or older had dementia patients, with a prevalence rate of 10.39%. The prevalence rate is one in 10 elderly people, but difficult for families to take care of them all day. Judged that possible to manage the conditions and schedules of elderly people living alone by utilizing AI speaker system where schedule management is stored. This paper implements modules for AI schedulers in patients with dementia. Configured to link AWS, a remote IOT, inside the raspberry pi, and to output the schedule to speakers using a calendar from Google API. Through this study, judged that ease of scheduling will help manage and schedule dementia patients.

• Proceedings of the Korea Information Processing Society Conference
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• 2008.11a
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• pp.296-299
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• 2008

최근 데이터 스트림을 관리하기 위해 DSMS(Data Stream Management System)가 계속적으로 연구 되고 있다. 하지만 데이터 스트림은 방대한 양의 데이터를 처리하기 위하여 실시간성을 갖는 빠른 데이터 처리가 요구되며, 이러한 특성 때문에 데이터 처리의 효율성 증대를 위하여 메모리 관리가 중요하다. 기존 메모리 관리에 대한 연구는 쓰레드 스케줄링을 통한 관리 기법이 연구되었다. 하지만 기존의 연산자 쓰레드 스케줄링과 그래프 쓰레드 스케줄링은 쓰레드 관리의 유연성이 떨어지기 때문에 불규칙적인 데이터 스트림 환경에서는 부적합하다. 또한 하이브리드 멀티 쓰레드 스케줄링 기법은 두 가지 기법의 장점을 결합하였으나 가상 연산자의 일회성 사용으로 쓰레드 관리의 어려움 이 있다. 따라서 본 논문은 공유와 재사용이 가능한 링 연산자를 이용한 링 연산자 쓰레드 스케줄 링 기법을 제안한다. 본 기법은 링 연산자를 통해 새로 입력된 질의의 동일한 연산자 구성은 생성 되어 있는 링 연산자를 공유하거나 재사용하여 불필요한 자원 소모와 자원 할당의 과부하를 줄임으로써 기존 기법에 비해 쓰레드 할당의 수를 감소 시켜 대량의 질의 처리 시 속도를 증가 시켰다.