• The Journal of Korea Robotics Society
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• v.1 no.1
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• pp.46-57
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• 2006

It is well known that mathematical solutions for multi-agent planning problems are very difficult to obtain due to the complexity of mutual interactions among multi-agent. Most of the past research results thus are based on the probabilistic completeness. However, the practicality and effectiveness of the solution from the probabilistic completeness is significantly reduced by heavy computational burden. In this paper, we propose a practically applicable solution technique for multi-agent planning problems, which assures a reasonable computation time and a real world application for more than 3 multi-agents for the case of general shaped paths in agent movement. First, to reduce the computation time, a collision map is utilized for detecting potential collisions and obtaining collision-free solutions for multi-agents. Second, to minimize the maximum of multi-agent task execution time, a method is developed for selecting an optimal priority order. Simulations are finally provided for more than 20 agents to emphasize the effectiveness of the proposed interactive approach to multi-agent planning problems.

• Journal of the Korea Society of Computer and Information
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• v.23 no.9
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• pp.7-13
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• 2018

Recent advancement in data gathering technique improves the capability of information collecting, thus allowing the learning process between gathered data patterns and application sub-tasks. A pattern can be associated with multiple labels, demanding multi-label learning capability, resulting in significant attention to multi-label feature selection since it can improve multi-label learning accuracy. However, existing evolutionary multi-label feature selection methods suffer from ineffective search process. In this study, we propose a evolutionary search process for the task of multi-label feature selection problem. The proposed method creates large set of offspring or new feature subsets and then retains the most promising feature subset. Experimental results demonstrate that the proposed method can identify feature subsets giving good multi-label classification accuracy much faster than conventional methods.

• Journal of Information Processing Systems
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• v.19 no.2
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• pp.232-239
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• 2023

Aiming at the poor compression quality of traditional image compression coding (ICC) algorithm, a multi-description ICC algorithm based on depth learning is put forward in this study. In this study, first an image compression algorithm was designed based on multi-description coding theory. Image compression samples were collected, and the measurement matrix was calculated. Then, it processed the multi-description ICC sample set by using the convolutional self-coding neural system in depth learning. Compressing the wavelet coefficients after coding and synthesizing the multi-description image band sparse matrix obtained the multi-description ICC sequence. Averaging the multi-description image coding data in accordance with the effective single point's position could finally realize the compression coding of multi-description images. According to experimental results, the designed algorithm consumes less time for image compression, and exhibits better image compression quality and better image reconstruction effect.

• Journal of Families and Better Life
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• v.27 no.4
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• pp.103-116
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• 2009

This study aims to investigate the process of family distress to family crisis in multi-cultural families based on Hill's ABCX model. For this study, the qualitative study with depth interview was conducted with 8 multi-cultural families(e.g. husband, wife, child and elderly parent). The depth interview contents were marriage process, family relation or family interactions, social adaptation process, and social services needs. Results showed the followings: First, multi-cultural families had multiple distressors so that these distressors made multi-cultural families vulnerable to family crisis. Second, Hill's ABCX model explained the process of family distress to family crisis in the multi-cultural families in that they had few resources(both individual resources and family resources) and even worse they had negative cognitions about their own multi-cultural family systems. This situation made them difficult to solve their problems and to cope with their distressors. Third, major distressors in multi-cultural families were founded in this study. These were different cultural gap, communication difficulties, social discrimination to multi-cultural families, and lack of social support networks. Discussion will address suggestions about effective family policies for multi-cultural families in order to make them resilient to family crisis and help to well-adjusted in the korean society.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.11
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• pp.5546-5559
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• 2019

Facial action units (AUs) have recently drawn increased attention because they can be used to recognize facial expressions. A variety of methods have been designed for frontal-view AU detection, but few have been able to handle multi-view face images. In this paper we propose a method for multi-view facial AU detection using a fused multilayer, multi-task, and multi-label deep learning network. The network can complete two tasks: AU detection and facial view detection. AU detection is a multi-label problem and facial view detection is a single-label problem. A residual network and multilayer fusion are applied to obtain more representative features. Our method is effective and performs well. The F1 score on FERA 2017 is 13.1% higher than the baseline. The facial view recognition accuracy is 0.991. This shows that our multi-task, multi-label model could achieve good performance on the two tasks.

• Journal of the Institute of Electronics Engineers of Korea SD
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• v.46 no.10
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• pp.46-52
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• 2009

A Multi-Core/Multi-Thread architecture is adopted for the Shader processor to enhance the processing performance. The Shader processor is designed to utilize its processing core IP for multiple purposes, such as Vertex-Shading, Rasterization, Pixel-Shading, etc. In this paper, we propose a 'Rasterization based on Vector Algorithm' that makes parallel pixels processing possible with Multi-Core and Multi-Thread architecture on the Shader Core. The proposed algorithm takes only 2% operation counts of the Scan-Line Algorithm and processes pixels independently.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.10 no.12
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• pp.5149-5173
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• 2016

Cooperative forwarding has shown a substantial network performance improvement compared to traditional routing in multi-hop wireless network. To further enhance the system throughput, especially in the presence of highly congested multiple cross traffic flows, a promising way is to incorporate the multi-radio multi-channel (MRMC) capability into cooperative forwarding. However, it requires to jointly address multiple issues. These include radio-channel assignment, routing metric computation, candidate relay set selection, candidate relay prioritization, data broadcasting over multi-radio multi-channel, and best relay selection using a coordination scheme. In this paper, we propose a simple and efficient cluster-based cooperative data forwarding (CCDF) which jointly addresses all these issues. We study the performance impact when the same candidate relay set is being used for multiple cross traffic flows in the network. The network simulation shows that the CCDF with MRMC not only retains the advantage of receiver diversity in cooperative forwarding but also minimizes the interference, which therefore further enhances the system throughput for the network with multiple cross traffic flows.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.11 no.11
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• pp.5625-5641
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• 2017

Certificateless public key cryptography resolves the certificate management problem in traditional public key cryptography and the key escrow problem in identity-based cryptography. In recent years, some good results have been achieved in speeding up the computation of bilinear pairing. However, the computation cost of the pairing is much higher than that of the scalar multiplication over the elliptic curve group. Therefore, it is still significant to design cryptosystem without pairing operations. A multi-signer universal designated multi-verifier signature scheme allows a set of signers to cooperatively generate a public verifiable signature, the signature holder then can propose a new signature such that only the designated set of verifiers can verify it. Multi-signer universal designated multi-verifier signatures are suitable in many different practical applications such as electronic tenders, electronic voting and electronic auctions. In this paper, we propose a certificateless multi-signer universal designated multi-verifier signature scheme and prove the security in the random oracle model. Our scheme does not use pairing operation. To the best of our knowledge, our scheme is the first certificateless multi-signer universal designated multi-verifier signature scheme.

• Journal of Home Health Care Nursing
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• v.16 no.1
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• pp.59-66
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• 2009

Purpose & Method: Based on a large amount of research concerning the recognition of local residents in an era of an increasing number of multi-cultural families, this study aimed to provide fundamental data for program development and policies. As well, the data was stratified based on understanding of multi-cultural society, recognition of multi-cultural families, and social and economic adaptability of multi-cultural families. Result: The available literature supports the view that an understanding of a multi-cultural society and recognition of multi-cultural families encourages an emphasis on maintaining ethnicity and respect for diverse cultures. Parental approval for friendships with members of multi-cultural families tends to be encouraged, although there is still resistance to marital ties with such families. The literature indicates that immigrant women participate in economic activities of their adopted locale and adapt to the new societal structure. A positive correlation between recognition and interests in social and economic adaptiveness was apparent. Conclusion: Findings of the study suggest that complement, development, and application of realistic programs and institutional policies are required to understand multi-cultural families and establish a multi-cultural society. Ongoing research will be valuable in resolving outstanding questions and clarifying political alternatives.

• Journal of Fashion Business
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• v.19 no.2
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• pp.136-148
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• 2015

The purpose of this thesis is to study multi-view fashion design with an analysis of multi-view art's formation and philosophical perspective. The production of unique artwork is dependent on how we see, think and represent what is around us. Multi-view art has great potential as a concept related to the continuity of time and space, it is not limited to space and time but it extends to infinitely, according to the artist's will and imagination. The study of time and space has been used as principles for deriving the formative of multi-view art, and the principles applied for analyzing multi-view fashion design. And the formation of multi-view art is reflected in fashion design. Simultaneity, deconstructivity, continuity and virtuality in terms of multi-view art are support the formation of multi-view fashion design, such as fabrication, expandability, concealment and transparency. As such, it is important to study multi-view fashion design as a creative design method with immense potential for further development.