• 자원ㆍ환경경제연구
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• 제27권4호
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• pp.667-694
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• 2018

2015년 1월부터 시행된 시장기반 온실가스감축수단인 한국 탄소배출권시장의 가격결정체계와 2차 이행연도로의 진행과정에서 발생하는 학습효과에 대하여 고찰한다. 분석결과, 1차와 2차 이행연도 간에 차이점이 존재하는 것으로 추정되었다. 장내요인의 경우, 2차 이행연도에서는 1차 이행연도에서 추정되지 않았던 KCU와 KOC 가격 거래량 변수가 유의하게 추정되었다. 또한, 대내외 경제상황 변수의 경우, 1차 이행연도에서는 모든 변수들이 유의하지 않았으나, 2차 이행연도에서는 금리, 환율, 주가변수에서 통계적 유의성이 확보되었다. 이는, 1차에서 2차 이행연도로 진행하면서 시장운영자인 정부와 시장참여자인 기업들이 1차 이행연도에서의 경험과 지식을 바탕으로 2차 이행연도에서의 배출권 관련 의사결정을 보다 효율화하는 학습효과에 기인한다. 한편, 중점분석대상인 KAU15와 KAU16 가격에 대하여 공통적으로 유의미한 설명변수로는 각 배출권의 이행연도 이듬해 2월과 3월의 명세서 작성 및 제출에 대한 제도이항변수가 존재하였다.

• 한국생물정보학회:학술대회논문집
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• 한국생물정보시스템생물학회 2005년도 BIOINFO 2005
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• pp.202-205
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• 2005

Cell phenotypes are determined by the concerted activity of thousands of genes and their products. This activity is coordinated by a complex network that regulates the expression of genes. Understanding this organization is crucial to elucidate cellular activities, and many researches have tried to construct gene regulatory networks from mRNA expression data which are nowadays the most available and have a lot of information for cellular processes. Several computational tools, such as Boolean network, Qualitative network, Bayesian network, and so on, have been applied to infer these networks. Among them, Bayesian networks that we chose as the inference tool have been often used in this field recently due to their well-established theoretical foundation and statistical robustness. However, the relative insufficiency of experiments with respect to the number of genes leads to many false positive inferences. To alleviate this problem, we had developed the algorithm of MONET(MOdularized NETwork learning), which is a new method for inferring modularized gene networks by utilizing two complementary sources of information: biological annotations and gene expression. Afterward, we have packaged and improved MONET by combining dispersed functional blocks, extending species which can be inputted in this system, reducing the time complexities by improving algorithms, and simplifying input/output formats and parameters so that it can be utilized in actual fields. In this paper, we present the architecture of MONET system that we have improved.

• 정보교육학회논문지
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• 제12권2호
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• pp.131-139
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• 2008

본 연구는 협력적 지식구축을 목적으로 하는 CSCL (Computer-Supported Collaborative Learning) 환경을 이용하여 교육주체간의 협동적 상호작용이 원활히 이루어질 수 있도록 하는 모바일 학급경영지원시스템을 구현하는데 목적이 있다. 이러한 목적을 위해 학급경영과 CSCL, 무선인터넷을 이론적으로 탐색하고 학급경영과 무선인터넷의 관계를 파악하여 학급경영을 지원하는 모바일 학급경영지원 시스템의 설계요소 및 전략을 수립하였다. 이를 기반으로 모바일 학급경영지원시스템을 설계하고 개발하였다.

• 한국의류산업학회지
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• 제23권6호
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• pp.691-708
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• 2021

The emerging Fourth Industrial Revolution has triggered fundamental shifts in the fashion industry. Advanced digital technologies are not only reshaping how the fashion supply chains function, but also requisitioning new skill sets for jobs in this industry. A mismatch in required skills between current and future jobs is a critical issue that needs to be addressed in the fashion industry. Similarly, it is imperative that fashion programs in higher education keep pace with the rapid changes disrupting the fashion sector. Nevertheless, the increasing speed and the magnitude of digital transformation make it challenging to keep fashion curricula up to date. This paper presents the case of a Digital Merchandising course. Using the principles of designing flexible curricula and backward design, this Digital Merchandising course was developed to be flexible and responsive to the changing business environment. Building digital intelligence was the central learning goal for students to accomplish. The paper discusses the conceptual development processes for the course and provides, visual examples of major learning assignments, and a variety of digital tools. Fashion educators are encouraged to consider backward design and flexible curricula design guides as complementary tools to the widely used Bloom's taxonomy.

• 인터넷정보학회논문지
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• 제22권6호
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• pp.1-8
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• 2021

With the rapid growth of intelligent devices and communication technologies, 5G network environment has become more heterogeneous and complex in terms of service management and orchestration. 5G architecture requires supportive technologies to handle the existing challenges for improving the Quality of Service (QoS) and the Quality of Experience (QoE) performances. Among many challenges, traffic steering is one of the key elements which requires critically developing an optimal solution for smart guidance, control, and reliable system. Mobile edge computing (MEC), software-defined networking (SDN), network functions virtualization (NFV), and deep learning (DL) play essential roles to complementary develop a flexible computation and extensible flow rules management in this potential aspect. In this proposed system, an accurate flow recommendation, a centralized control, and a reliable distributed connectivity based on the inspection of packet condition are provided. With the system deployment, the packet is classified separately and recommended to request from the optimal destination with matched preferences and conditions. To evaluate the proposed scheme outperformance, a network simulator software was used to conduct and capture the end-to-end QoS performance metrics. SDN flow rules installation was experimented to illustrate the post control function corresponding to DL-based output. The intelligent steering for network communication traffic is cooperatively configured in SDN controller and NFV-orchestrator to lead a variety of beneficial factors for improving massive real-time Internet of Things (IoT) performance.

• 시스템엔지니어링학술지
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• 제19권2호
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• pp.126-134
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• 2023

Drones are emerging as a new security threat, and the world is working to reduce them. Detection and identification are the most difficult and important parts of the anti-drone systems. Existing detection and identification methods each have their strengths and weaknesses, so complementary operations are required. Detection and identification performance in anti-drone systems can be improved through the use of artificial intelligence. This is because artificial intelligence can quickly analyze differences smaller than humans. There are three ways to utilize artificial intelligence. Through reinforcement learning-based physical control, noise and blur generated when the optical camera tracks the drone may be reduced, and tracking stability may be improved. The latest NeRF algorithm can be used to solve the problem of lack of enemy drone data. It is necessary to build a data network to utilize artificial intelligence. Through this, data can be efficiently collected and managed. In addition, model performance can be improved by regularly generating artificial intelligence learning data.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2005년도 ICCAS
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• pp.838-841
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• 2005

DNA Chip is able to show DNA-Data that includes diseases of sample to User by using complementary characters of DNA. So this paper studied Neural Network algorithm for Image data processing of DNA-chip. DNA chip outputs image data of colors and intensities of lights when some sample DNA is putted on DNA-chip, and we can classify pattern of these image data on user pc environment through artificial neural network and some of image processing algorithms. Ultimate aim is developing of pattern classifying algorithm, simulating this algorithm and so getting information of one's diseases through applying this algorithm. Namely, this paper study artificial neural network algorithm for classifying pattern of image data that is obtained from DNA-chip. And, by using histogram, gradient edge, ANN and learning algorithm, we can analyze and classifying pattern of this DNA-chip image data. so we are able to monitor, and simulating this algorithm.

• 한국공작기계학회:학술대회논문집
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• 한국공작기계학회 2003년도 추계학술대회
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• pp.265-270
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• 2003

When designing an engine part the designer has to choose the proper material and to define the dimensions of the part. in the most rudimentary case he has available as guidelines the collective experience from similar applications. The performance of the part is tested on occasion of the trial runs for the full system, and possibly occurring deficiencies are corrected until a satisfactory usable life and safety of operation is achieved. This procedure is time consuming and costly, and the learning effect is minimal. These requirements have to be condensed into characteristic values ameanable to computation. Since testing and computation are complementary we have to look at the currently existing mathematical models for engine bearing performance.

• 한국수학사학회지
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• 제28권5호
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• pp.263-278
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• 2015

As intuition is more unreliable than logic or reason, its studies in mathematics and mathematics education have not been done that much. But it has played an important role in the invention and development of mathematics with logic. So, it is necessary to recognize and explore the value of intuition in mathematics education. In this paper, I investigate the function and role of intuition in terms of mathematical learning and problem solving. Especially, I discuss the positive and negative aspects of intuition with its characters. The intuitive acceptance is decided by self-evidence and confidence. In relation to the intuitive acceptance, it is discussed about the pedagogical problems and the role of intuitive thinking in terms of creative problem solving perspectives. Intuition is recognized as an innate ability that all people have. So, we have to concentrate on the mathematics education via intuition and the complementary between intuition and logic. For further research, I suggest the studies for the mathematics education via intuition for students' mathematical development.

• 한국실내디자인학회논문집
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• 제14권3호
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• pp.36-45
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• 2005

The aim of this study is to understand the meaning of Form drawing in which Louis 1. Kahn's principal thought is immanent through the detail analysis on design process of the Phillips Exeter Academy Library, based on his sketches and writings. The basic form is composed of three different space: one where students come together in the presence of books, another for the storage of books, and a third for reading in the light. Through the design process in the Exeter library, the basic form is maintained and it is derived from the consideration of the human activities in the library Particularly, the basic form is shaped around the idea that learning necessarily Involved two complementary activities: on the one hand, the quiet introspective act of reading, and the other, the interpersonal exchange of ideas. And the basic form plays an important role in controlling the relationship between program requirements and formal transformations in the design.