• The Journal of Korean Institute of Communications and Information Sciences
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• v.39A no.4
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• pp.195-205
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• 2014

The ultra-high definition television (UHDTV) has been considered as a next generation broadcsating service. However the conventional digital terrestrial transmission system cannot afford the required transmission data rate of UHDTV, and thus adopting ultra-high order constellation, such as 4096-QAM, into the conventional DTT systems has been studied. In particular, when the ultra-high order constellation is adopted into the digital video broadcasting-2nd generation terrestrial (DVB-T2) unequal-error protection (UEP) properties of a codeword of an error correction coding and ultra-high order constellations should be properly matched by bit mapper in order to enhance the decoding performance. Because long codeword results in a heavy computational complexity to design the bit mapper, the DVB-T2 divided it into cascaded blocks, the bit interleaver and the bit-to-cell DEMUX, and there have been many researches related to each block. However, there are few published study related to design methodology of bit interleaver. In this respect, this paper proposes a design methodology of the bit interleaver and presents bit interleavers of 1024-QAM and 4096-QAM according to the proposed design algorithm. The newly designed interleavers improved the decoding performance of the error correction coding by maximally 0.6 dB SNR over both of AWGN and random fading channel.

• Journal of the Korea Convergence Society
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• v.11 no.8
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• pp.99-106
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• 2020

The purpose of this study is to find out whether image similarity between celebrities and brands on social network service be a determinant to predict advertising effectiveness. To this end, an advertising effect prediction model for celebrity endorsed advertising was created and its validity was verified through a machine learning method which is a big data analysis technique. Firstly, the celebrity-brand image similarity, which was used as an independent variable, was quantified by the association network theory with social big data, and secondly a multiple regression model which used data representing advertising effects as a dependent variable was repeatedly conducted to generate an advertising effect prediction model. The accuracy of the prediction model was decided by comparing the prediction results with the survey outcomes. As for a result, it was proved that the validity of the predictive modeling of advertising effects was secured since the classification accuracy of 75%, which is a criterion for judging validity, was shown. This study suggested a new methodological alternative and direction for big data-based modeling research through celebrity-brand image similarity structure based on social network theory, and effect prediction modeling by machine learning.

• Proceedings of the Korea Society of Costume Conference
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• 2001.04a
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• pp.44-45
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• 2001

다양해지는 소비자들의 패션에 대한 개성적 표현 욕구에 따라 우리나라 미용산업은 헤어, 메이크업과 피부미용, 네일케어 분야로 전문화.세분화되면서 토탈 패션산업의 주요영역으로 성장하고 있다. 이러 한 토탈 패션의 등장으로 미용서비스에 대한 수요증가로 양적으로는 상당히 그 규모가 증가했음에도 불구하고, 서버스 품질에 대해서는 고객들에게 확실한 신뢰를 주지 못하고 있다. 이는 국내 미용업계가 미용서비스 제공자의 관점에서 일방적인 서비스를 창출하여 왔고, 고객이 바라는 서비스의 내용과 품질을 제대로 파악하지 못하고 있다는 사실을 의미하고 있다. 따라서, 본 연구는 미용실의 서비스품질의 구성 요인을 확인하고. 미용실의 서비스품질과 소비자 만 족과의 관계를 알아보는 것을 목적으로 한다. 이를 위한 본 연구의 연구문제는 다음과 같다. 첫째, 미용실의 서비스 품질을 결정하는 요인에는 어떠한 것이 있는가\ulcorner 둘째, 미용실의 서비스 품질 중 소비자 만족과 관련하여 상대적으로 중요한 서비스 품질 결정요인은 무엇인가\ulcorner 본 연구를 위한 예비조사에서는 개방형 질문(open-ended question)을 실시하였다. 예비조사결과 프랜차이즈 미용실, 시내중심가 미용실 그리고 집.직장 근처 미용실의 3가지 유형의 미용실은 그 규모나 소비 자 인식이 상이하여 미용실의 서비스품질 차원을 연구하는데 유용한 것으로 나타났다. 본조사에서는 설문지법을 이용하였으며, 그 대상은 서울 지역의 3가지 유형의 미용실을 이용하는 고객들중 2 20-30대의 주요 고객층으로 정하였고 편의 표집하였다. 분석방법으로는 신뢰도 검증을 위해서는 Cronbach's 외 alpha값을 활용하였고, 미용실의 서비스품질 차원의 개념 타당성을 알아보기 위하여 LISREL을 이용한 확인 적 요인분석(confirmatory factor analysis)을 실시하였다. 또한 미용실의 유형에 따른 서비스 품질의 차이를 알아보기 위해서 일원변량분석(one-way ANDV A)을 실시하였으며, 서비스품질 속성들 중 소비자 만족을 결정하는 요인들을 알아보기 위해서 다중 회귀분석(multiple regression analysis)을 실시하였다. 본 연구의 결과들을 요약하면 다음과 같다. 첫째, 미용실의 서비스 품질을 결정하는 요인으로 는 물리적 서비스(유형성, 접근성, 청결성), 판매원 관련 서비스(감정배려, 능력), 정책관련 서비스(점포운영, 명성, 신용카드) , 미용기술관련 서비스로 나타났다. 둘째, 미용실의 서비스 품질을 결정하는 요인들에 있어서 점포 유형간의 차이를 분석한 결과 전체적으로 응답자들은 프랜차이즈 미용실의 서버스 품질에 가장 만족했으며, 시내중심가 미용실과 집근처 미용 실 순으로 나타났다. 셋째, 미용실의 소비자 만족을 예측하는데 유의한 서비스 품질 결정 요일을 살펴보면, 프랜차이즈 미용 실은 청결성($\beta$ =.30), 감정배려($\beta$ =.54), 명성($\beta$ =.60), 미용기술관련 서비스 차원($\beta$ =.68)이 결정 요인으로 나타났다. 시내중심가 미용실은 청결성($\beta$ =.39), 직원의 능력($\beta$ =.49), 명성($\beta$ =.59), 미용기술관련 서비스 차원($\beta$ =.68)가 서비스 결정 요인이었고, 집근처 미용실은 청결성($\beta$ =.27), 감정배려 ($\beta$ =.57), 명성($\beta$ =.73), 미용기술관련 서비스 차원 ($\beta$ =.60)으로 나타났다. 이것으로 미용실의 소비자 만족을 예측하는데 유의한 서비스 품질 결정 요인은 청결성, 감정배려, 명성, 상품관련 서비스임을 알 수 있다. 본 연구의 방법론적 의미는 그 동안 개발된 소매점이나 패션점포의 서비스 품질에 대한 평기척도를 우리나라 미용실에 적용해 봄으로써 미용실의 특성인 유행성, 청결성, 미용실의 명성, 직원과의 친분 등을 포함한 미용실의 서비스 품질 차원과 그 신뢰성 과 유용성을 입증하였다는데 그 의미가 있다. 또한 본 연구의 결과는 미용실 서비스에 대한 소비자들의 인식과 각 미용실의 유형에 따른 소비자 만족을 예측하는데 중요한 서비스 품질 결정 요인들을 통해서 좀 더 나은 미용서비스를 정착시키는데 필요한 전략 을 수립할 수 있다는데 실질적 의미를 지닌다.

• Journal of Preventive Medicine and Public Health
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• v.34 no.2
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• pp.103-108
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• 2001

Recently, numerous studies have focused on the health effects of ambient particulate pollutants. Compared to earlier studios that focused on severe air pollution episodes, recent studies are more relevant to understanding the health effects of air pollution at levels common to contemporary cities. We reviewed recent epidemiologic studies that evaluated health effects of particulate air pollution and concluded that respirable particulate air pollution is an important contributing factor to acute mortality and morbidity. We observed increased respiratory and cardiovascular deaths, increased hospital admissions and visits, and decreased lung function. We also observed increased mortality and morbidity in a Korean population. Theses health effects were observed at levels below the current Ambient Air Quality Standard for particulate air pollution.

• Journal of the Korean Institute of Intelligent Systems
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• v.20 no.1
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• pp.7-14
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• 2010

In this paper, we introduce a hierarchical internet application traffic classification system based on SVM as an alternative overcoming the uppermost limit of the conventional methodology which is using the port number or payload information. After selecting an optimal attribute subset of the bidirectional traffic flow data collected from the campus, the proposed system classifies the internet application traffic hierarchically. The system is composed of three layers: the first layer quickly determines P2P traffic and non-P2P traffic using a SVM, the second layer classifies P2P traffics into file-sharing, messenger, and TV, based on three SVDDs. The third layer makes specific classification of the entire 16 application traffics. By classifying the internet application traffic finely or coarsely, the proposed system can guarantee an efficient system resource management, a stable network environment, a seamless bandwidth, and an appropriate QoS. Also, even a new application traffic is added, it is possible to have a system incremental updating and scalability by training only a new SVDD without retraining the whole system. We validate the performance of our approach with computer experiments.

• Korean Journal of Remote Sensing
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• v.20 no.2
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• pp.65-76
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• 2004

This study aims to estimate daily maximum air temperature estimated using satellite-derived surface temperature and Elevation Derivative Database (EDD). The analysis is focused on the establishment of a semi-empirical estimation technique of daily maximum air temperature through the multiple regression analysis. This tests the contribution of EDD in the air temperature estimation when it is added into regression model as an independent variable. The better correlation is shown with the EDD data as compared with the correlation without this data set. In order to provide a progressive estimation technique, we propose and compare three approaches: 1) seasonal estimation non-considering landcover, 2) seasonal estimation considering landcover, and 3) estimation according to landcover type and non-considering season. The last method shows the best fit with the root-mean-square error between 0.56$^{\circ}C$ and 3.14$^{\circ}C$. A cross-validation procedure is performed for third method to valid the estimated values for two major landcover types (cropland and forest). For both landcover types, the validation results show reasonable agreement with estimation results. Therefore it is considered that the estimation technique proposed may be applicable to most parts of South Korea.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.29 no.3D
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• pp.373-379
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• 2009

Cost estimation in the early phase enables government to plan public budgeting more efficiently by providing information about construction cost. However, cost estimation in the early phase is difficult to predict because only a little information can be utilized. The cost estimation method now being used by the government is calculated by length of the road multiplied by unit cost per length and shows high error rate because it cannot reflect the unique characteristics of each project. As the project is being proceeded, level of available information also changed. So, reflecting available information of a project is important. This paper divided early phase into two parts : planning phase and early design phase, and developed cost estimation model considering level of available information of each phase. Total 143 cases are utilized to find influencing variables and develop cost estimation model and model validation is done by adopting required accuracy level. This cost estimation model reflecting level of available information can be applied to public budgeting, feasibility test, and comparison between routes.

• The KIPS Transactions:PartA
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• v.11A no.1
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• pp.49-56
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• 2004

The performance of the multiprocessor systems is limited by the several factors. The system performance is affected by the processor speed, memory delay, and interconnection network bandwidth/latency. By the evolution of semiconductor technology, off the shelf microprocessor speed breaks beyond GHz, and the processors can be scalable up to multiprocessor system by connecting through the interconnection networks. In this situation, the system performances are bound by the latencies and the bandwidth of the interconnection networks. SCI, Myrinet, and Gigabit Ethernet are widely adopted as a high-speed interconnection network links for the high performance cluster systems. Performance improvement of the interconnection network can be achieved by the bandwidth extension and the latency minimization. Speed up of the operation clock speed is a simple way to accomplish the bandwidth and latency betterment, while its physical distance makes the difficulties to attain the high frequency clock. Hence the system performance and scalability suffered from the interconnection network limitation. Duplicating the link of the interconnection network is one of the solutions to resolve the bottleneck of the scalable systems. Dual-ring SCI link structure is an example of the interconnection network improvement. In this paper, I propose a network topology and a transaction path algorism, which optimize the latency and the efficiency under the duplicated links. By the simulation results, the proposed structure shows 1.05 to 1.11 times better latency, and exhibits 1.42 to 2.1 times faster execution compared to the dual ring systems.

• The Korean Journal of Archival Studies
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• no.41
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• pp.175-212
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• 2014

In 2001 a large amount of labor record have been donated from Jeontaeil Labor Archive-Institute to SungKongHoe University(SKHU). Institute of Labor History in SKHU was established in the wake of the installation of the labor archive. Development of oral archive raised the awareness of the various relationships between the use and production of labor record. Interviewees of oral testimony expressed dissatisfaction and the role of the researchers was not sufficiently exhibited. Examining the main cases of Korea union movement history, we can find contradictions between the use and production of labor record clearly. Interval of interpretation and memory was too big between the parties of 'democratic' union movement in the 1970s. While among the parties who took part in Guro Alliance Strike of 1985, there is a group that remains in the "winner" in history on the one hand, but "loser" on the other without any reasonable criterion. Active intervention of the record users(researchers) is very limited. Among citizens or workers how will be resolved such "struggle of memory" in due process can not be seen. This is one of the reasons why labor archive is not rooted in the region. In this paper, I present a methodological alternatives for the production and use of records through the construction of participatory labor archive. Further, the reconstituted contents of the "documenting locality" strategy by complementing the theoretical part of the method of participation. The study of local and locality requires a "scale" dimension that will make up the identity recognition space, a memory and identity, a social relationship rather than the dimension of the physical space. Alternative "documenting locality" strategy will be able to contribute to solve the problems that occur between the production and use of the recording in labor archive.

• Journal of Intelligence and Information Systems
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• v.22 no.4
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• pp.193-215
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• 2016

In recent years, the proliferation of diverse social networking services has led users to use many mediums simultaneously depending on their individual purpose and taste. Besides, while collecting information about particular themes, they usually employ various mediums such as social networking services, Internet news, and blogs. However, in terms of management, each document circulated through diverse mediums is placed in different categories on the basis of each source's policy and standards, hindering any attempt to conduct research on a specific category across different kinds of sources. For example, documents containing content on "Application for a foreign travel" can be classified into "Information Technology," "Travel," or "Life and Culture" according to the peculiar standard of each source. Likewise, with different viewpoints of definition and levels of specification for each source, similar categories can be named and structured differently in accordance with each source. To overcome these limitations, this study proposes a plan for conducting category mapping between different sources with various mediums while maintaining the existing category system of the medium as it is. Specifically, by re-classifying individual documents from the viewpoint of diverse sources and storing the result of such a classification as extra attributes, this study proposes a logical layer by which users can search for a specific document from multiple heterogeneous sources with different category names as if they belong to the same source. Besides, by collecting 6,000 articles of news from two Internet news portals, experiments were conducted to compare accuracy among sources, supervised learning and semi-supervised learning, and homogeneous and heterogeneous learning data. It is particularly interesting that in some categories, classifying accuracy of semi-supervised learning using heterogeneous learning data proved to be higher than that of supervised learning and semi-supervised learning, which used homogeneous learning data. This study has the following significances. First, it proposes a logical plan for establishing a system to integrate and manage all the heterogeneous mediums in different classifying systems while maintaining the existing physical classifying system as it is. This study's results particularly exhibit very different classifying accuracies in accordance with the heterogeneity of learning data; this is expected to spur further studies for enhancing the performance of the proposed methodology through the analysis of characteristics by category. In addition, with an increasing demand for search, collection, and analysis of documents from diverse mediums, the scope of the Internet search is not restricted to one medium. However, since each medium has a different categorical structure and name, it is actually very difficult to search for a specific category insofar as encompassing heterogeneous mediums. The proposed methodology is also significant for presenting a plan that enquires into all the documents regarding the standards of the relevant sites' categorical classification when the users select the desired site, while maintaining the existing site's characteristics and structure as it is. This study's proposed methodology needs to be further complemented in the following aspects. First, though only an indirect comparison and evaluation was made on the performance of this proposed methodology, future studies would need to conduct more direct tests on its accuracy. That is, after re-classifying documents of the object source on the basis of the categorical system of the existing source, the extent to which the classification was accurate needs to be verified through evaluation by actual users. In addition, the accuracy in classification needs to be increased by making the methodology more sophisticated. Furthermore, an understanding is required that the characteristics of some categories that showed a rather higher classifying accuracy of heterogeneous semi-supervised learning than that of supervised learning might assist in obtaining heterogeneous documents from diverse mediums and seeking plans that enhance the accuracy of document classification through its usage.