• Proceedings of the Korean Information Science Society Conference
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• 2006.06d
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• pp.286-288
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• 2006

기존 유선환경에서의 개인화방법은 정보 전송량에 따른 사용요금을 고려할 때 무선환경에서 적용하기에는 부적합한 방법이다. 무선환경을 사용하는 모바일 기기 사용자는 유선환경보다 사용자 프로파일 정보를 쉽게 구할 수 있는 장점이 있으며, 또한 모바일 기기는 혼자 사용하는 특징이 있는 장점을 활용할 수 있는 방안이 필요하다. 본 논문에서는 모바일 기기 사용자를 위한 개인화 방법으로 협업 필터링 방법과 규칙 필터링 방법을 혼합한 방법을 제안한다. 사용자 프로파일 정보는 협업 필터링 방법을 통한 초기 사용자 모델링을 수행하고, 규칙 필터링을 통해 연속 사용자 모델링을 수행하는 모바일 환경을 위한 혼합 필터링 방법이다. 본 논문에서 제안한 서비스 기법은 모바일 환경에서의 효율성과 확장성을 개선 해주며, 또한 개인화된 서비스는 무선환경의 제한된 네트워크 대역폭 사용 한계를 효과적으로 개선해 줄 수 있다.

• Journal of the Institute of Electronics Engineers of Korea SC
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• v.45 no.6
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• pp.117-122
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• 2008

Although the pulse diagnosis is the one of the most important diagnostic process to traditional medical doctors, there is no proper communication tool between experts and trainees. In this paper, we have developed a indentation training system which consists of a hardware measuring indent pressure on artificial arm quantitatively and a software providing a indentation training program. The hardware for measurement of indent pressure profile includes 3 load cells embedded in the artificial arm, signal amplification part and digitization part, NI-USB 6009 with 200Hz sampling rate. For setting up a relationship table between weights and output voltages, 8 standard weights were used. To evaluate this hardware, 3 oriental medical specialists were involved and their indent pressure profile were recorded three times respectively. From these, it was found that pulse diagnosis process could be divided into 3 periods and the maximum load were $500g{\cdot}f$ approximately while doctors perform a pulse diagnosis. The indentation training program was implemented with LabView and designed to monitor the differences between the pressure profile of a expert and that of a trainee so to offer some visual feedback to the trainee. Also, this program could provide the trends of training performances. With this developed system, the education of pulse diagnosis is expected to be more quantitative and effective.

• The Journal of the Korea Contents Association
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• v.16 no.4
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• pp.434-441
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• 2016

Using bigdata analysis procedures, the present study sought to review and explore the various aspects of self-disclosure and boundary impermeability of worldwide twitter users. A total of 415 million tweets issued by 54 million users were collected during 6 months and the users of top 10 languages were investigated. And the effect of languages of twitter users on the boundary impermeability, disclosure rate of user profile, profile image, geographical information, URL in profile and user description were analyzed in this study. The results showed that the boundary impermeability and all the self-disclosure rates of twitter users (profile, profile image, geographical information, URL in profile, user description) were significantly (p<0.001) different among language groups of users. The self-disclosure rates and the average points of Portuguese, Indonesian and Spanish users were higher than those of Arabic, Japanese, Turkish and Korean users. The results also showed a positive relationship between boundary impermeability and the number of tweets (including retweets) issued by each users.

• Journal of Digital Convergence
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• v.10 no.1
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• pp.301-307
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• 2012

The development of mobile devices and the spread of wireless network help share and exchange information and resources more easily. The bond them to Cloud Computing technology help pay attention to "Mobile Cloud" service, so there have been being a lot of studies on "Mobile Cloud" service. Especially, the important of 'Personalization Service' which is customized for each user's preference and context has been increasing. In order to provide appropriate personalization services, it enables to recognize user's current state, analyze the user's profile like user's tendency and preference, and draw the service answering the user's request. Most existing frameworks, however, are not very suitable for mobile devices because they were proposed on the web-based. And other context information except location information among user's context information are not much considered. Therefore, this paper proposed the context-aware framework, which provides more suitable services by using user's context and profile.

• Proceedings of the Korean Information Science Society Conference
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• 2006.06c
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• pp.88-90
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• 2006

최근 정보 통신기술의 발전으로 인하여 전자상거래가 확산되고 있는 실정이며, 이용하는 고객 또한 상당히 증가하고 있다. 고객의 활발한 구매 거래 활동으로 하루에도 아주 많은 양의 데이터가 생성되고 있는 실정이다. 이에 전자상거래의 웹 사이트 관리자나 경영자는 고객의 구매형태나 패턴의 특징을 파악하여 보다 효율적인 서비스를 고객에게 제공하기 위하여 현재까지 유사그룹의 고객 세분화를 적용하는 연구가 이루어지고 있다. 본 논문에서는 전자상거래에서 고객들의 정보를 분석하여 개인화하기 위한 방법으로 사용되는 고객 프로파일을 이용하여 고객세분화 하는데 적용을 하고자 한다. 기존 고객세분화의 통계적인 분석이 아닌 XML 기반의 고객 정보를 XPath를 이용하여 고객세분화에 필요한 규칙을 생성하고, 그 규칙을 바탕으로 고객 프로파일을 생성하는 방법과 프로파일을 이용한 군집에 따른 분석 결과 및 추천서비스를 소개하고자 한다.

• Journal of the Korean Society for Nondestructive Testing
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• v.23 no.4
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• pp.342-348
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• 2003

Ultrasonic backscattering profiles of the Zr plates(with a thickness of 1.32mm) with/without Be-Zr alloy layer(with a thickness of $100{\mu}m$) were measured at various incidence positions to evaluate the characteristics of Be diffusion layer. Four principal subprofiles were observed in the backward ultrasound radiated from leaky Lamb waves. The angles and the intensities of the subprofile peaks decreased by the stiffening effect of Be layer. Generation and change of the subprofiles were explained by the acoustical property, collective group velocity and leaky factor difference of the plates under consideration. Backward radiation subprofiles turned out to be an useful method for evaluating thin diffusion layers on plates.

• Journal of the Korean Data Analysis Society
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• v.20 no.6
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• pp.3049-3067
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• 2018

Although there is a growing body of research on organizational commitment profiles based on a person-centered approach, it is not widely applied to the commitment research conducted by Korean organizational scholars yet. Therefore, in this paper, we introduced the concept and analytical methods, such as cluster analysis and latent profile analysis (LPA), of the person-centered approach. In addition, we also performed both cluster analysis and LPA to identify types of organizational commitment profiles of Korean employees based on the combination of affective, continuance and normative commitment on the sample from a range of different fields in South Korea (n = 349). Both analyses extracted two comparable sets of 6 commitment profiles. These six profiles were then contrasted with employee turnover intention. Finally, implications for commitment theory, practices and future research issues were discussed.

• The KIPS Transactions:PartB
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• v.15B no.2
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• pp.113-122
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• 2008

While there are about 1 million color vision deficiencies in Korea, an assistive technology to digital contents of broadcasting and web for them remains scarce. In this study, we developed a generation method of the ICC profile to correct a graphic digital content adapted to various color perception characteristics of CVD by tuning the correction rules of the ICC profile by themselves. We tested the performance of the ICC profile to apply 10 Ishihara plates to the participants, 1 protanomaly, 1 protanomaly and deuteranomaly and 2 deuteranomaly. We used the color range information to build correction rules. Results of the test show that they passed Ishihara test by 97.5% success rate, compared to 20% success rate without it. The average time for them to spend to tune the customized ICC profile was about 13 minute without any diagnosis of specialist, any special instrument.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2011.07a
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• pp.574-577
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• 2011

H.264/AVC는 휘도 신호 $4{\times}4$ 블록을 위하여 9개의 화면 내 예측모드를 사용한다. 예측 모드는 8개의 방향성을 가진 모드와 하나의 비방향성 DC 모드가 있다. 휘도 신호 $16{\times}16$ 블록에서는 4가지의 예측 모드가 있으며 색차 신호 $8{\times}8$ 에서도 4개의 예측모드를 사용한다. 이러한 예측 모드들 중 최적의 예측 모드를 선택하기 위하여, 부호화기는 선택 가능한 모든 예측 모드의 율-왜곡 비용을 계산한 후, 최적의 율-왜곡 비용을 가진 예측 모드를 사용하여 부호화를 수행한다. 따라서 H.264/AVC의 화면 내 예측 과정은 많은 계산 복잡도를 가진다. 특히 하이 프로파일에서는 휘도 신호 $8{\times}8$ 블록이 화면 내 예측을 위해서 고려되므로 더욱 많은 계산 복잡도를 요구한다. 이에 본 논문은 H.264/AVC 하이 프로파일의 화면 내 예측의 부호화 계산 복잡도를 줄이는 방법을 제안한다. 현재 매크로 블록의 분산을 계산한 후, 이를 이용하여 율-왜곡 최적화에 후보로 사용되어지는 블록 모드를 결정하고, 각 블록 모드에서 제공하는 예측 모드들을 효율적으로 선택하는 방법을 연구 개발하였다. 제안된 방법은 기존 H.264/AVC 참조 소프트웨어인 JM13.1 부호화 시간 대비 약 83%의 연산시간이 감소하는 결과를 보였다.

• Journal of KIISE:Information Networking
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• v.30 no.4
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• pp.545-558
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• 2003

It is expected that per-user customized services are widely used in next generation Personal Communication Network. The ultimate goal for personalized service is the Virtual home Environment (VHE) providing ´same-look-and-feel´ services for the subscriber wherever he roams to. To provide personalized services for each call, per-user service profiles are frequently referenced, so efficient service profile management is essentially required. To realized the VHE, typically two schemes, can be employed; One is Intelligent Network based service control and the other is a full replication scheme that always replicates profile in user´s current zone. The first scheme is referred as Central scheme and th second scheme is the modified replication scheme of IMT-2000, we refer to as Follow-Me Replication Unconditional (FMRU). Since the Central scheme only depends on the service cal rate and the FMRU is merely dependent on the movement rate, it is apparent that FMRU scheme outperforms the Central scheme if the call to mobility ratio (CMR) is large, and vice versa. In this paper, we propose a new service profile replication schemes, Adaptive Follow-Me Replication (AFMR) that determine replication automatically according to the user´s CMR. We compared the performance of the AFMR with the non-adaptive Follow-Me Replication unconditional on Demand (FMRUD) scheme. Performance results indicate that as the CMR of a user changes AFMR adapts well compared to the existing schemes.