• Clean Technology
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• v.28 no.2
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• pp.138-146
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• 2022

Electricity has become a factor that dramatically affects the market economy. The day-ahead system marginal price determines electricity prices, and system marginal price forecasting is critical in maintaining energy management systems. There have been several studies using mathematics and machine learning models to forecast the system marginal price, but few studies have been conducted to develop, compare, and analyze various machine learning and deep learning models based on a data-driven framework. Therefore, in this study, different machine learning algorithms (i.e., autoregressive-based models such as the autoregressive integrated moving average model) and deep learning networks (i.e., recurrent neural network-based models such as the long short-term memory and gated recurrent unit model) are considered and integrated evaluation metrics including a forecasting test and information criteria are proposed to discern the optimal forecasting model. A case study of South Korea using long-term time-series system marginal price data from 2016 to 2021 was applied to the developed framework. The results of the study indicate that the autoregressive integrated moving average model (R-squared score: 0.97) and the gated recurrent unit model (R-squared score: 0.94) are appropriate for system marginal price forecasting. This study is expected to contribute significantly to energy management systems and the suggested framework can be explicitly applied for renewable energy networks.

• Spatial Information Research
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• v.18 no.5
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• pp.119-131
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• 2010

Researchers require repetitive works such as data format analysis, reformatting and map reprojection in order to use geospatial data. To solve above problems, they are building web-based simulation systems with web developers. But the web-based systems are not efficiently developed because there is not the appropriate simulation framework for a web-based system using geospatial data. In this study, the geospatial simulation framework that can be effectively applied to the web-based system was designed and proposed. Also, the framework was composed of 7 modules; web mapping service, GIS mapping, statistics, model, processing,graphics, and geospatial datasets. In order to evaluate the effectiveness of the framework, a case study of urban growth has been verified. Experts who are not specialized in geospatial information disciplines expect to build easily a web-based system using geospatial data.

• Journal of Satellite, Information and Communications
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• v.9 no.3
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• pp.109-115
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• 2014

This paper suggest meteorological satellite processing software's structure that reduces time and efforts of modification/upgrade. This structure's key feature is "algorithm component" that works within framework and eventually to a complete Meteorological satellite processing system. Most of existing Meteorological satellite system is designed around specific function and data sets which limits range of modification and upgrade. In addition, re-use of current algorithms become difficult although re-use of similar algorithm is the case in many occasions. This inefficiency can be resolved by designing a new framework as a result of detail analysis of collected requirements. A new framework and system architecture has been designed. In addition, operational flow of Satellite image processing framework has been described.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.47 no.6
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• pp.460-467
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• 2019

This paper proposes a multi-objective optimization (MOO) framework for conceptual design of a surface-to-surface missile system. It can generate the set of Pareto optimal system design, which can be used for system trade-off study in a very early stage of the research and development process. The proposed framework consists of four functional modules (an environmental setting module, a variable setting module, a multidisciplinary analysis module and an optimization module) to make the model easy to change, and the concept design process using the framework was able to achieve the purpose of reviewing various designs in the early stage of development. A case study demonstrating the effectiveness of the framework has presented applicability to the system design, and the proposed framework has contributed to presenting a design environment that can ensure reliability and reduce computational time in the conceptual design stage.

• IE interfaces
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• v.5 no.2
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• pp.101-109
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• 1992

The purpose of this paper is to establish a framework of the information system design for the distribution management in the confectionery industry. First, we present the characteristics of distribution information system and the distribution information flow in the confectionery industry. Next, we present a sketch of the computer-communication system as the mechanism for improving communication within the distribution system and design the subsystems of distribution information system. And we design the data structure for manipulating distribution information. Finally, we present the case study in which we design the distribution information system in the confectionery industry.

• Journal of Software Assessment and Valuation
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• v.17 no.1
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• pp.101-113
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• 2021

In this paper, we introduce a speaker overlap system and look at the process of converting the existed system on the specific framework of artificial intelligence. Speaker overlap is when two or more speakers speak at the same time during a conversation, and can lead to performance degradation in the fields of speech recognition or speaker recognition, and a lot of research is being conducted because it can prevent performance degradation. Recently, as application of artificial intelligence is increasing, there is a demand for switching between artificial intelligence frameworks. However, when switching frameworks, performance degradation is observed due to the unique characteristics of each framework, making it difficult to switch frameworks. In this paper, the process of converting the speaker overlap detection system based on the Keras framework to the pytorch-based system is explained and considers components. As a result of the framework switching, the pytorch-based system showed better performance than the existing Keras-based speaker overlap detection system, so it can be said that it is valuable as a fundamental study on systematic framework conversion.

• International Journal of Advanced Culture Technology
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• v.11 no.1
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• pp.290-295
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• 2023

The global warming by greenhouse gases causes climate change and disasters such as earthquakes and tsunamis frequently, leading to great damage. It is important to build efficient and scalable disaster response services to minimize the damage. Existing disaster warning service by the mobile text is limited by the scalability and the data size to be delivered. In this paper, we propose a framework for disaster response services that is efficient and flexible by allowing to adopt various indexing schemes and scalable by supporting any number of clients in disaster situations anytime and anywhere. Also, the framework by wireless data broadcast can be free from the limitation of the size of data to be delivered. We design and implement the proposed framework and evaluate the framework. For the evaluation, we simulate the implemented framework by adopting various indexing schemes like HCI, DSI and TTSI, and by comparing the access times of the clients. Through the evaluation, we show that the proposed framework can provide efficient and scalable and flexible disaster response services.

• Proceedings of the IEEK Conference
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• 2003.11c
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• pp.51-54
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• 2003

This paper describes the design and implementation of HNCP bundle in the OSGi framework targeted to the home network system. The developed home network system is composed of a home server and several networked home appliances, and is connected via residential gateway to the external access network. The developed HNCP bundle allows a user to control and monitor home appliances in HNCP domain. We show the feasibility of the implemented HNCP bundle in the OSGi framework.

• Proceedings of the Korean Society of Computer Information Conference
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• 2020.07a
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• pp.271-272
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• 2020

오늘날 자동차 이용자가 점점 증가하고 있다. 이로 인해 주차 공간이 부족해져 많은 불편을 초래한다. 따라서 본 연구는 이러한 문제를 해결하기 위해 주차 예약 시스템을 구현하였다. 본 시스템은 Spring Framework 기반의 주차 예약 시스템으로 예약과 취소를 자유롭게 이용할 수 있다. 또한 주차 예약 시스템의 이용 후기, 꼭 알아야 하는 공지사항 등 게시판을 활용하여 더욱 자유롭게 이용할 수 있다.

• Journal of Information Technology Services
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• v.11 no.2
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• pp.259-274
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• 2012

A well organized system requirements provide a solid basis of achiving a successful project and are effective methods of communication among stakeholders. We illustrate and propose a 'System Requirement Development Framework' to develop correct requirements as a methodical approach. We first organize a 'Requirement Development Process' and then establish a 'Non-Functional Requirements Principle'. On these basis, we next propose a 'Requirement Development Guideline' from a perspective of 'Functional Requirement', 'Non-Functional Requirement' and 'Triage' in advanced stages. We also verify and evaluate the suitability of our proposed 'System Requirement Development Framework' by applying it to several projects.