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Attribute Utility-Based Negotiation Agent Methodology for Customer-To-Customer Electronic Commerce (소비자간 전자상거래를 위한 속성효용기반 자동협상 방법론의 개발)

  • Song Yong U.;Hong June S.;Kim Wooju
    • Journal of Intelligence and Information Systems
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    • v.10 no.3
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    • pp.73-89
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    • 2004
  • Since people have come to access more and more information about products with the proliferation of the Internet, more and more customer-to-customer e-marketplaces are being introduced with rapidly increasing transaction volumes. As the role of customer-to-customer electronic commerce has become increasingly regarded as vital to the economy, much research has delved into developing intelligent agent systems to efficiently support customer-to-customer electronic commerce. Most of this research, however, has focused only on supporting simple negotiation for the price of common goods along the time span. To expand the negotiation object to the differentiated goods, the customer must be allowed to negotiate over multi-at-tributes of the product besides the price, including the attributes related to the transaction activity itself, such as delivery time and payment method. To satisfy this requirement, we propose an agent marketplace for differentiated goods where the agent of a customer can negotiate not only the price but also the various attributes of the product and the transaction in order to achieve a better utility level for both buyer and seller. The formal protocol and the architecture issues to support the proposed e-marketplace and agents are also addressed.

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An Efficient Secure Routing Protocol Based on Token Escrow Tree for Wireless Ad Hoc Networks (무선 애드 혹 네트워크에서 보안성을 고려한 Token Escrow 트리 기반의 효율적인 라우팅 프로토콜)

  • Lee, Jae Sik;Kim, Sung Chun
    • KIPS Transactions on Computer and Communication Systems
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    • v.2 no.4
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    • pp.155-162
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    • 2013
  • Routing protocol in ad hoc mobile networking has been an active research area in recent years. However, the environments of ad hoc network tend to have vulnerable points from attacks, because ad hoc mobile network is a kind of wireless network without centralized authentication or fixed network infrastructure such as base stations. Also, existing routing protocols that are effective in a wired network become inapplicable in ad hoc mobile networks. To address these issues, several secure routing protocols have been proposed: SAODV and SRPTES. Even though our protocols are intensified security of networks than existing protocols, they can not deal fluidly with frequent changing of wireless environment. Moreover, demerits in energy efficiency are detected because they concentrated only safety routing. In this paper, we propose an energy efficient secure routing protocol for various ad hoc mobile environment. First of all, we provide that the nodes distribute security information to reliable nodes for secure routing. The nodes constitute tree-structured with around nodes for token escrow, this action will protect invasion of malicious node through hiding security information. Next, we propose multi-path routing based security level for protection from dropping attack of malicious node, then networks will prevent data from unexpected packet loss. As a result, this algorithm enhances packet delivery ratio in network environment which has some malicious nodes, and a life time of entire network is extended through consuming energy evenly.

Some Characteristics of Family Policy in Korea During Roh, Moo Hyun Government, 2003-2008 (<참여정부>의 가족정책 성격: 3개 법을 중심으로)

  • Kim, Mi-Sook
    • Korea journal of population studies
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    • v.31 no.3
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    • pp.27-55
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    • 2008
  • This paper tries to introduce most recent trends of Korean family policies during Roh, Moo Hyun Government of March 2003-February 2008. Focusing on the gender perspectives, discussions are, for heuristic purposes, centered around three major family issues in S. Korea, one of the most dynamically changing societies in the world: 1) the abolishment of male-centered traditional Family Registry System('the hoju') and the launching of brand-new Family Record Book of five different versions for individual from January 2008; 2) the application of Framework Act On Healthy Homes, a first formal measure to step in various forms of family break-ups these days; and 3) the emergence of Multi-Cultural Family Protection Act, thanks to a massive volume of international marriage migrants from overseas. It can be said that all these family policies are the result of rapidly changing socio-demographic trends into an aging society since 1990s. These trends include late/no marriage with low birth rates, high divorce(and thus remarriage) rates, breakdown of male-breadwinner family model and increase of dual-income family, and a sudden increment of international marriage particularly in rural areas. All in all, overall trends of Korean family life these days that have been taking place so far would provide an excellent exemplary how to deal with an unprecedented societal challenges with the brand-new family policies.

Transforming a Buffer Green into an Urban Park as Multi-functional Green Infrastructure - A Case of the Buffer Green of Sinmae Market in Daegu, Korea - (입체적 도시기반시설로서 완충녹지의 공원화 계획 - 대구광역시 신매시장 완충녹지 공원화 계획을 사례로 -)

  • Kim, Miyeun;Min, Byoungwook
    • Journal of the Korean Institute of Landscape Architecture
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    • v.49 no.2
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    • pp.101-112
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    • 2021
  • In Korea, efforts have been made continuously to improve the environment of traditional markets concerning the issues of urban regeneration. In particular, many old cities and traditional markets face a lack of parking spaces. As a solution to this, attempts are being made to prepare underground parking spaces by designing urban planning facilities in three-dimensional ways and utilizing the upper part as a more meaningful space. This study is about the master plan to use the upper green area while creating an underground parking lot at 571 Sinmae-dong, Suseong-gu, Daegu. This green area was defined as a space with dual values, 'defensive green space' that needs to be ecologically protected, and 'active cultural space' where walking flows to the market and various events are concentrated. Three specific design strategies to balance these values were presented. First, to prevent indiscriminate occupation and damage by people and maintain a healthy green environment, securing the maximum amount of undivided green space in the site was suggested. Second, a space layout and a topography and planting patterns that can overcome the morphological characteristics of narrow and long-shaped sites enable the experience of abundant green spaces. Third, providing space to strengthen the connections with nearby urban facilities such as Sinmae Market and Gosan Library can also intensively accommodate cultural activities in various cities. This study has academic significance in providing implications for urban regeneration projects with similar contexts in the future.

A Study on the End of Defects Liability Exit Procedure in Apartment Buildings through Case Studies (사례분석을 통한 공동주택 하자담보책임 종료 절차연구)

  • Kim, Jin-kuk;Bang, Hong-Soon;Choi, Byung-Ju;kim, Ok-Kyue
    • Journal of the Architectural Institute of Korea Planning & Design
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    • v.34 no.10
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    • pp.25-32
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    • 2018
  • The ending of the warranty under the current Multi-Housing Management Act has a lot of problem as it is very disadvantageous to the business entity and it makes hard for the contractor to finish the repair work. It is almost none for the business entity to get the written confirmation of the expiration of warranty liability from the client even though it sincerely completed their warranty obligation. It is because the client asks for the works other than fair repair arising from the defect in the work, such as the upgrade work for the enhancement of the value of their assets and the repair work which the client should take care before it issues the written confirmation of the expiration of warranty liability to the contractor. "So, though there is the law specifying this matter, the parties are relying on the unnecessary civil agreement. This leads to the big social and economic losses. If there is no agreement made between the client and the contractor, that leads to the legal dispute. This research on cases of 10 apartments shows that the types of works which the apartment residents ask for depend on the characteristics and conditions of the apartments and that they ask for various kinds of compensational works. In addition, it was found that there were many cases in which even the civil agreement is not recognized as the ending of the warranty obligation even if the proper procedure is taken for the ending of warranty by the contractor or business entity. If the collateral is to be offered to the client, the contractor would get more hard because there is the additional cost other than the warranty obligation, thus damaging the legal objective of the laws trying to minimize the damage made to the resident of the apartments. It means that the increase in the unnecessary warranty cost would lead to the increase in the selling price of apartment and the ending of the dispute through the civil procedure would make the Multi-Housing Act ineffective.

Recognition of dog's front face using deep learning and machine learning (딥러닝 및 기계학습 활용 반려견 얼굴 정면판별 방법)

  • Kim, Jong-Bok;Jang, Dong-Hwa;Yang, Kayoung;Kwon, Kyeong-Seok;Kim, Jung-Kon;Lee, Joon-Whoan
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.21 no.12
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    • pp.1-9
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    • 2020
  • As pet dogs rapidly increase in number, abandoned and lost dogs are also increasing in number. In Korea, animal registration has been in force since 2014, but the registration rate is not high owing to safety and effectiveness issues. Biometrics is attracting attention as an alternative. In order to increase the recognition rate from biometrics, it is necessary to collect biometric images in the same form as much as possible-from the face. This paper proposes a method to determine whether a dog is facing front or not in a real-time video. The proposed method detects the dog's eyes and nose using deep learning, and extracts five types of directional face information through the relative size and position of the detected face. Then, a machine learning classifier determines whether the dog is facing front or not. We used 2,000 dog images for learning, verification, and testing. YOLOv3 and YOLOv4 were used to detect the eyes and nose, and Multi-layer Perceptron (MLP), Random Forest (RF), and the Support Vector Machine (SVM) were used as classifiers. When YOLOv4 and the RF classifier were used with all five types of the proposed face orientation information, the face recognition rate was best, at 95.25%, and we found that real-time processing is possible.

Study of Improved CNN Algorithm for Object Classification Machine Learning of Simple High Resolution Image (고해상도 단순 이미지의 객체 분류 학습모델 구현을 위한 개선된 CNN 알고리즘 연구)

  • Hyeopgeon Lee;Young-Woon Kim
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.16 no.1
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    • pp.41-49
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    • 2023
  • A convolutional neural network (CNN) is a representative algorithm for implementing artificial neural networks. CNNs have improved on the issues of rapid increase in calculation amount and low object classification rates, which are associated with a conventional multi-layered fully-connected neural network (FNN). However, because of the rapid development of IT devices, the maximum resolution of images captured by current smartphone and tablet cameras has reached 108 million pixels (MP). Specifically, a traditional CNN algorithm requires a significant cost and time to learn and process simple, high-resolution images. Therefore, this study proposes an improved CNN algorithm for implementing an object classification learning model for simple, high-resolution images. The proposed method alters the adjacency matrix value of the pooling layer's max pooling operation for the CNN algorithm to reduce the high-resolution image learning model's creation time. This study implemented a learning model capable of processing 4, 8, and 12 MP high-resolution images for each altered matrix value. The performance evaluation result showed that the creation time of the learning model implemented with the proposed algorithm decreased by 36.26% for 12 MP images. Compared to the conventional model, the proposed learning model's object recognition accuracy and loss rate were less than 1%, which is within the acceptable error range. Practical verification is necessary through future studies by implementing a learning model with more varied image types and a larger amount of image data than those used in this study.

Oil Spill Monitoring in Norilsk, Russia Using Google Earth Engine and Sentinel-2 Data (Google Earth Engine과 Sentinel-2 위성자료를 이용한 러시아 노릴스크 지역의 기름 유출 모니터링)

  • Minju Kim;Chang-Uk Hyun
    • Korean Journal of Remote Sensing
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    • v.39 no.3
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    • pp.311-323
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    • 2023
  • Oil spill accidents can cause various environmental issues, so it is important to quickly assess the extent and changes in the area and location of the spilled oil. In the case of oil spill detection using satellite imagery, it is possible to detect a wide range of oil spill areas by utilizing the information collected from various sensors equipped on the satellite. Previous studies have analyzed the reflectance of oil at specific wavelengths and have developed an oil spill index using bands within the specific wavelength ranges. When analyzing multiple images before and after an oil spill for monitoring purposes, a significant amount of time and computing resources are consumed due to the large volume of data. By utilizing Google Earth Engine, which allows for the analysis of large volumes of satellite imagery through a web browser, it is possible to efficiently detect oil spills. In this study, we evaluated the applicability of four types of oil spill indices in the area of various land cover using Sentinel-2 MultiSpectral Instrument data and the cloud-based Google Earth Engine platform. We assessed the separability of oil spill areas by comparing the index values for different land covers. The results of this study demonstrated the efficient utilization of Google Earth Engine in oil spill detection research and indicated that the use of oil spill index B ((B3+B4)/B2) and oil spill index C (R: B3/B2, G: (B3+B4)/B2, B: (B6+B7)/B5) can contribute to effective oil spill monitoring in other regions with complex land covers.

The Development and Effects of Vocational Adjustment Program for Marriage Immigrant Women (결혼이주여성의 직업적응 프로그램 개발 및 효과)

  • Kim, Byung-Sook;An, Yoon-Jung;Song, Hye-Ryong
    • The Korean Journal of Woman Psychology
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    • v.15 no.2
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    • pp.235-258
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    • 2010
  • This study has a purpose to develop vocational adjustment program that is essential for marriage immigrant women to settle down in our society and verify the effectiveness of the program. In order to develop practical program with reflecting their unique issues and experiences comparing to other groups, many diverse ways such as questionnaire, face to face in-depth interview, and expert-interview were used. Vocational adjustment program for marriage immigrant women was consisted of six parts like understanding multi-culture, basic economical concepts and practical use, vocation and labor market comprehension, self-understanding and analysis, cultivating organization adaptation and job capacities, establishing career goal. After carrying into effect the program, the result was significant differences in career identity, the understanding vocational information, adaptation of vocational culture, career aspiration to women who have taken the vocational adjustment program. Through the program, marriage immigrant women will be high in self-efficacy with the real recognition of the Korean labor market and expect their positive future which might be better than now. Finally this can help them adjust our society in the positive way.

International Trends of Ocean-based Climate Actions as a Solution for Climate Crisis : Focused on Integrated Approach and Multi-Benefits (기후위기 해결책으로서 해양기반기후행동을 위한 국제적 논의동향에 대한 소고 : 통합적 접근과 상호혜택 증진을 중심으로)

  • Sora Yun;Yinhuan Jin
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.29 no.7
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    • pp.740-749
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    • 2023
  • The ocean plays a vital role in the international carbon cycle, absorbing human-induced atmospheric carbon and preventing further atmospheric carbon accumulation. However, while the ocean had been considered a victim of climate change, it did not receive much attention as a solution for climate change in the major agenda of UNFCCC. Recently, a growing awareness that the ocean can provide numerous potentials to handle untapped issues to address the climate crisis has arisen, which has prompted discussions to strengthen ocean-based climate action. Since 2020, UNFCCC "Ocean and climate change dialogue" has been a forum to integrate and strengthen the ocean-climate nexus. This calls for integrating ocean action into climate action and the relevant sectors. In this regard, this study examined the background and international trends of ocean-based climate action and presented the author's perspective on the scope of content that such action should pursue and the direction to achieve it. In addition, this study identified tasks of the integrated approach and advancement of co-benefit as ways to strengthen ocean-based climate action, and it suggested domestic countermeasures for the Korean marine policy on climate change based on this.