• Proceedings of the Korean Society of Computer Information Conference
• /
• 2015.01a
• /
• pp.47-50
• /
• 2015

TV는 타 도메인과 달리, 사전에 정해진 시간에 콘텐츠가 방영된다. 그러므로 TV 프로그램 추천 시스템은 시청자의 현재 시각(time-context)을 고려해야 한다. 시간 기반의 TV 프로그램 추천 방법이 다수 연구되었지만, 대부분의 기존 연구는 특정 시간대(timeslot)에서의 시청자의 선호도를 계산하는 데에만 집중되어 있고, 시청 내역 전체기간에서의 선호도를 고려하지 않은 문제점이 있다. 이러한 문제를 해결하기 위해, 시청자의 지역 선호도와 전역 선호도를 모두 고려한 시간 기반의 TV 프로그램 추천기법을 제안한다. 이를 위해 제안 방법에서는 시간대의 길이에 따라 여러 가지 선호도 모델을 사용한다. 여러 개의 선호도 모델로부터 산출된 선호도를 병합하여 가장 선호도가 높은 TV 프로그램을 추천한다. 실 데이터를 이용한 실험을 통해 기준방식과 비교함으로써, 제안 방법의 효용성을 검증하였다.

• Proceedings of the Korea Society for Simulation Conference
• /
• 2003.11a
• /
• pp.95-103
• /
• 2003

Event notification service is a event-based messaging middle ware service needed for various vertical domains, such as, business applications, distributed system management, and web service integration. In this paper, we investigate the architecture of an event notification service that includes a subject-based event dissemination service and a flexible message communication service. The event dissemination service is in charge of transferring events asynchronously but speedy according to the subjects of events and their environmental knowledge. It also includes content-based message filtering. The message communication service provides a common communication infrastructure supporting variety types of messages and variety of protocols. Depending on application domains and situation, we can re-configurate the communication infrastructure in order to optimize the efficiency and usability. This paper shows the performance analysis of our event notification service with various types of message formats and protocols.

• Proceedings of the Korean Society of Crop Science Conference
• /
• 2022.10a
• /
• pp.192-192
• /
• 2022

Sweetpotato is rich in starch, which is converted to sugar during storage due to enzymatic hydrolysis. The sugar content of sweetpotato is a component related to taste and storability. In this study, the sugar content (fructose, glucose, maltose, sucrose and total sugar content) of 94 genotypes was evaluated and the GWAS (Genome-Wide Association Study) was conducted to search for candidate genes for sugar content. The fructose and glucose content were 0.2 ~ 8.8 and 0.2 ~ 9.4 g/100g, respectively. The maltose, sucrose and total sugar content were 0.2 ~ 9.1,3.2 - 30.0 and 7.9 ~ 40.2 g/100g, respectively. The fructose and glucose showed a positive correlation (0.98). The 94 genotypes were genotyped with genotyping-by-sequencing (GBS) and aligned against the reference genome sequences of sweetpotato. The GBS libraries from 94 genotypes were sequenced on an Illumina HiSeqXten system, and 1,339,892 SNPs (Single Nucleotide Polymorphism) were generated. Filtering for < 60% missing rate and > 0.05 minor allele frequency resulted in a total of 44,255 SNPs used in GWAS. The GAPIT (Genome Association and Prediction Integrated Tool) was used to conduct based on the mean of sugar content with a Bonferroni-corrected chromosome-wide significance threshold with a -logio(P) of 5.95. The significant SNPs were obtained with fructose (seven), glucose (six), maltose (four) and sucrose (nine). There were several genes related to sugar content around the significant SNPs such as sugar transport protein 8-like, probable galactose-1 -phosphate uridyltransferase-like and beta-amylase. These results will contribute to understanding of sugar content and conversion in sweetpotato.

• Journal of the Korea Society of Computer and Information
• /
• v.14 no.8
• /
• pp.81-88
• /
• 2009

Many studies and policies are suggested for customer satisfaction to survive in multimedia content service markets. there are policies like a segregating the clients using the contents service and allocating the media server's resources distinctively by clusters using the cluster analysis method of CRM. The problem of this policy is fixed allocation of media server resources. It is inefficient for costly media server resource. To resolve the problem and enhance the utilization of media server resource, the ACRFA (Adaptive Client Request Filtering Algorithm) was suggested per cluster to allocate media server resources by flexible resource allocation method.

• Journal of information and communication convergence engineering
• /
• v.18 no.2
• /
• pp.123-131
• /
• 2020

After observing that most tourists plan to complete their visits to multiple cultural heritage sites within one day, we surmised that for many museum visitors, the foremost thought is with regard to the amount of time is to be spent at each location and how they can maximize their enjoyment at a site while still balancing their travel itinerary? Recommendation systems in e-commerce are built on knowledge about the users' previous purchasing history; recommendation systems for museums, on the other hand, do not have an equivalent data source available. Recent solutions have incorporated advanced technologies such as algorithms that rely on social filtering, which builds recommendations from the nearest identified similar user. Our paper proposes a different approach, and involves providing dynamic recommendations that deploy social filtering as well as content-based filtering using term frequency-inverse document frequency. The main challenge is to overcome a cold start, whereby no information is available on new users entering the system, and thus there is no strong background information for generating the recommendation. In these cases, our solution deploys statistical methods to create a recommendation, which can then be used to gather data for future iterations. We are currently running a pilot test at Chao Samphraya national museum and have received positive feedback to date on the implementation.

• Journal of Broadcast Engineering
• /
• v.13 no.5
• /
• pp.662-676
• /
• 2008

This paper presents a video copy detection algorithm that blocks online transfer of illegally copied DTV broadcast programs. Particularly, the proposed algorithm establishes a set of keyframes by detecting abrupt changes of luminance, and then exploits the spatio-temporal features of keyframes. Comparing with the preregistered features stored in the database of DTV broadcast programs, the proposed scheme performs a function of video filtering in order to distinguish whether an uploaded video is illegally copied or not. Note that we analyze only a set of keyframes instead of an entire video frame. Thus, it is highly efficient to identify illegal copied video when we deal with a vast size of broadcast programs. Also, we confirm that the proposed technique is robust to a variety of video edit-effects that are often applied by online video redistribution, such as apsect-ratio change, logo insertion, caption insertion, visual quality degradation, and resolution change (downscaling). In addition, we perform a benchmark test in which the proposed scheme outperforms previous techniques.

• Journal of the Korea Society of Computer and Information
• /
• v.13 no.1
• /
• pp.45-54
• /
• 2008

As mobile Web technology becomes more increasingly applicable. the mobile contents market. especially the music downloading for mobile phones, has recorded remarkable growth. In spite of this rapid growth, customers experience high levels of frustration in the process of searching for desired music contents. It affects to a re-purchasing rate of customers and also. music mubile content providers experience a decrease in the benefit. Therefore, in aspects of a customer relationship management (CRM), a new way to increase a benefit by providing a convenient shopping environment to mobile customers is necessary. As an solution for this situation, we propose a new music recommender system to enhance the customers' search efficiency by combining collaborative filtering with mobile web mining and ordinal scale based customer preferences. Some experiments are also performed to verify that our proposed system is more effective than the current recommender systems in the mobile Web.

• Journal of the Korean Geosynthetics Society
• /
• v.7 no.1
• /
• pp.23-29
• /
• 2008

Recently, dewatering process method of high water content materials that utilize geotextile has many applications in variety fields. It is method of dewatering to solid step through self-weight consolidation process after pour sludge using filtering efficiency and dewatering efficiency. Analyzed application of domestic manufactured geotextile tube that can examine physical characteristics of geotextile tube and filling soil and achieve filtering efficiency and dewatering efficiency. Based on the various laboratory and field test results mixing proportions of water and soil is about 6:4 at least. Polypropylene geotextile is more effective for drainage and dewatering function of geotextile tube application.

• Proceedings of the Korean Society of Computer Information Conference
• /
• 2021.07a
• /
• pp.299-300
• /
• 2021

본 논문에서는 고령화 사회로 인한 치매 환자 증가 문제해결을 위해 웹(web) 기반으로 동작하는 치매 예방용 프로그램을 개발하는 것을 목적으로 하였다. 사전 준비단계로 치매 관련 시스템 및 기술고찰을 통해 개발범위를 규정하였고, 이를 근거로 프로그램을 작성하였다.

• Asia pacific journal of information systems
• /
• v.29 no.4
• /
• pp.856-874
• /
• 2019

The performance of recommender systems (RS) has been measured mainly in terms of accuracy. However, there are other aspects of performance that are difficult to understand in terms of accuracy, such as coverage, serendipity, and satisfaction with recommended results. Moreover, particularly with RSs that suggest multiple items at a time, such as YouTube, user satisfaction with recommended results may vary not only depending on their accuracy, but also on their configuration, content, and design displayed to the user. This is true when classifying an RS as a single RS with one recommended result and as a multiple RS with diverse results. No empirical analysis has been conducted on the influence of the content and distribution of recommendation items on user satisfaction. In this study, we propose a research model representing the content and distribution of recommended items and how they affect user satisfaction with the RS. We focus on RSs that recommend multiple items. We performed an empirical analysis involving 149 YouTube users. The results suggest that user satisfaction with recommended results is significantly affected according to the HHI (Herfindahl-Hirschman Index). In addition, satisfaction significantly increased when the recommended item on the top of the list was the same category in terms of content that users were currently watching. Particularly when the purpose of using RS is hedonic, not utilitarian, the results showed greater satisfaction when the number of views of the recommended items was evenly distributed. However, other characteristics of selected content, such as view count and playback time, had relatively less impact on satisfaction with recommended items. To the best of our knowledge, this study is the first to show that the category concentration of items impacts user satisfaction on websites recommending diverse items in different categories using a content-based filtering system, such as YouTube. In addition, our use of the HHI index, which has been extensively used in economics research, to show the distributional characteristics of recommended items, is also unique. The HHI for categories of recommended items was useful in explaining user satisfaction.