• Proceedings of the IEEK Conference
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• 2003.07d
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• pp.1283-1286
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• 2003

Human can update the memory with new information not forgetting acquired information in the memory. ART(Adaptive Resonance Theory) does not need to change all information. The methodology of ART is followed. The ART updates the memory with the new information that is unknown if it is similar with the memorized information. On the other hand, if it is unknown information the ART adds it to the memory not updating the memory with the new one. This paper shows that ART is able to classify sensory information of a certain object. When ART receives new information of the object as an input, it searches for the nearest thing among the acquired information in the memory. If it is revealed that new information of the object has similarity with the acquired object, the model is updated to reflect new information to the memory. When new object does not have similarity with the acquired object, the model register the object into new memory

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2009.10a
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• pp.629-632
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• 2009

The interactive art and design can be interpreted as an intelligent system in the aspect of engineering. Because this information is treated and analyzed in real time and then such results is expressed in various media such as image, graphic, sound and etc. after these information are input through the sensor, camera and etc., for the efficient communication between human and production, namely, to communicate the interactive reaction, The image utilizing such interactive is being gradually developed as it widens its region in various art design fields. This research is purposed to make the system, which lets the citizens contact the information naturally by mixing the information for the environment with the interactive art of the arty type, and which lets the citizens feel the surrounding environment directly. This research will construct the live mood in the space itself and is utilized for the public art that can be directly experienced. It can provide the experience in the participation type that acquires the information being harmonized with the human naturally in the more developed type than the concept of the existing static installation. Therefore, it is sincerely required to research the interactive art in utilizing the public design.

• Journal of Multimedia Information System
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• v.5 no.4
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• pp.277-282
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• 2018

Interactive art is an art form that closely links art creators and art participants. It has been doomed with advanced technology from the very beginning. Virtual Reality is a technology which born in the background of the maturity of computer technology. Its birth has brought immeasurable possibilities for interactive art, especially the interactivity and multi-sensory experience. This paper discusses the current development status of interactive art in the field of interactive art through the characteristics of virtual reality technology and the future development of this technology will bring to interactive art.

• Proceedings of the Korea Information Processing Society Conference
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• 2007.11a
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• pp.315-318
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• 2007

랜덤 테스트(RT)는 가능한 입력 도메인에서 임의의 입력 값을 선택하여 테스트 케이스를 생성하고 테스트를 수행하는 기본적인 블랙 박스 테스트 기법이다. 랜덤 테스트의 성능을 향상 시키기 위해서 오류 패턴을 고려한 다양한 Adaptive Random Testing (ART) 알고리즘들이 제안되어 왔다. 그 중 Distance-Based ART (D-ART), Restricted Random Testing (RRT)이 좋은 성능을 보이고 있지만, 수행시간이 너무 느리다는 단점이 있어, 이를 대체할 수 있는 여러 ART 방법들이 제안되고 있다. 그 중, Adaptive Random Testing through Iterative Partitioning (IP-ART)가 가장 좋은 성능과 빠른 수행시간을 보인다. 본 논문에서는 IP-ART 의 성능을 더욱 향상시킬 수 있는 방법을 제안하고, 시뮬레이션을 통하여 향상된 성능을 평가해 보았다.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.45 no.5
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• pp.180-191
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• 2008

An Adaptive Random Testing (ART) is one of test case generation algorithms that are designed to detect common failure patterns within input domain. The ART algorithm shows better performance than that of pure Random Testing (RT). Distance-bases ART (D-ART) and Restriction Random Testing (RRT) are well known examples of ART algorithms which are reported to have good performances. But significant drawbacks are observed as quadratic runtime and non-uniform distribution of test case. They are mainly caused by a huge amount of distance computations to generate test case which are distance based method. ART through Iterative Partitioning (IP-ART) significantly reduces the amount of computation of D-ART and RRT with iterative partitioning of input domain. However, non-uniform distribution of test case still exists, which play a role of obstacle to develop a scalable algerian. In this paper we propose a new ART method which mitigates the drawback of IP-ART while achieving improved fault-detection capability. Simulation results show that the proposed one has about 9 percent of improved F-measures with respect to other algorithms.

• Journal of the Korean Society for Library and Information Science
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• v.46 no.2
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• pp.175-197
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• 2012

The art museums in South Korea are mostly small-scaled institutions with small amount of art works. Thus, internationally accepted metadata standards such as CDWA and VRA Core may not be efficient to manage their collections. Because of these distinct local characteristics, there is a need to create a set of metadata elements that can be used for the art museum community in the country. This research aims to propose a set of metadata elements customized to fit into the context of small-scaled art museums in South Korea. The construction of the element set was not from scratch but on the basis of existing standards such as CDWA, VRA Core, and Dublin Core. By identifying core elements that are indispensable in describing art works and collecting opinions of experts in art museums, the proposed set of metadata elements is expected to support the operation and management of art works and satisfy the localized needs of the art museum community.

• Journal of Digital Convergence
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• v.17 no.11
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• pp.61-70
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• 2019

The The government has recently announced its mid- to long-term plans for promoting art. With the advent of the 4th industrial revolution, contemporary art contents that are integrated with Intelligent Information Technologies such as Artificial Intelligence (AI), Virtual Reality (VR), and Big Data are being introduced, and social interest in humanities and creative convergence is rising. In addition, the industrialization of the art market is expanding amid the rising popularity of art among the general public and the growing interest of art as an investment replacement system, along with the strengthening of the creative personality education of our Education Ministry. Therefore, it is necessary to establish a strategy for transparency and revitalization of the art market by providing comprehensive information such as search functions, analysis data, and criticism by writer and price. This paper has established an information system plan for the establishment of an online supply system for art transaction information, providing auction transaction information for art market, providing report and news for art market, providing public relations platform, and providing art market analysis service and membership relationship management service. To this end, the future model was established through environmental analysis and focus analysis of the art market, and strategic tasks and implementation plans were established accordingly.

• Journal of the Korea Convergence Society
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• v.7 no.4
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• pp.155-162
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• 2016

Communication of art and the expansion of roles are some of the important discourses of art. For a while, many attempts were made to overcome the enjoyment of art by only a few elites and the alienation of roles. In the meanwhile, due to its formative nature, media art has contributed to the various expansion of roles as a familiar art in society and by communicating with the public in various play contents and industrial context. This study will take a step further and examined whether media art can assess and be used in social issues through the characteristic analysis of 'media art information visualization.' The general field of information visualization only focuses on the clarity of information delivery, so it is effective for intuitively identifying various information. However, stiff visual expression must improve user-friendly functions in an era in which users' sensibility is increasing, and it only focuses on the effectiveness of information delivery that its secondary social problem such as personal information protection must be compensated. Thus, this research analyze the characteristics of case works to examine how the visualization of media art information can approach social problems creatively, seek the expansion of the role of art and compensate the areas that general information visualization is missing.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.46 no.3
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• pp.64-76
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• 2009

Adaptive Random Testing through Iterative Partitioning(IP-ART) is one of Adaptive Random Testing(ART) techniques. IP-ART uses an iterative partitioning method for input domain to improve the performances of early-versions of ART that have significant drawbacks in computation time. Another version of IP-ART, named with EIP-ART(IP-ART with Enlarged Input Domain), uses virtually enlarged input domain to remove the unevenly distributed parts near the boundary of the domain. EIP-ART could mitigate non-uniform test case distribution of IP-ART and achieve relatively high performances in a variety of input domain environments. The EIP-ART algorithm, however, have the drawback of higher computation time to generate test cases mainly due to the additional workload from enlarged input domain. For this reason, a revised version of IP-ART without input domain enlargement needs to improve the distribution of test cases to remove the additional time cost. We explore three smoothing algorithms which influence the distribution of test cases, and analyze to check if any performance improvements take place by them. The simulation results show that the algorithm of a restriction area management achieves better performance than other ones.

• Proceedings of the Korean Society of Computer Information Conference
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• 2009.01a
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• pp.31-34
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• 2009

ART2 알고리즘은 신경 회로망 모델로서 실시간 학습이 가능하여 저속 및 고속을 지원할 뿐만 아니라 지역 최소화(local minima) 문제가 발생하지 않는 장점을 갖는다. 그러나 ART2 알고리즘은 경계 변수 설정에 따라 클러스터의 수가 달라지며, 이러한 경계 변수 설정은 패턴의 분류와 인식 성능을 좌우한다. 따라서 본 논문에서는 ART2 알고리즘에서 효율적으로 경계 변수를 설정하기 위해 패턴셋 설정을 통한 경계 변수 설정 방법을 제안한다. 제안된 경계 변수 설정 방법의 성능을 평가하기 위해 숫자 및 영문 패턴을 대상으로 실험한 결과, 패턴 분류의 성능이 기존의 방식 보다 개선된 것을 확인하였다.