• 제목/요약/키워드: Community algorithm

검색결과 189건 처리시간 0.026초

Android Application for Connecting Cycling Routes on Strava Segments

  • Mulasastra, Intiraporn;Kao-ian, Wichpong
    • Journal of information and communication convergence engineering
    • /
    • 제17권2호
    • /
    • pp.142-148
    • /
    • 2019
  • Relatively few countries provide separate bicycle lanes for cyclists. Hence, tools for suggesting cycling routes are essential for a safe and pleasant cycling experience. This study aims to develop a mobile application to build cycling routes based on user preferences, specifically location, search radius, ride distance, and number of optimal routes. Our application calls the Strava API to retrieve Strava cycling segments crowdsourced from the cycling community. Then, it creates a graph consisting of the start and end points of these segments. Beginning from a user-specified location, the depth-first search algorithm (DFS) is applied to find routes that conform to the user's preferences. Next, a set of optimal routes is obtained by computing a trade-off ratio for every discovered route. This ratio is calculated from the lengths of all segments and the lengths of all connecting paths. The connected routes can be displayed on a map on an Android device or exported as a GPX file to a bike computer. Future work must be performed to improve the design of the user interface and user experience.

Movie Recommendation Algorithm Using Social Network Analysis to Alleviate Cold-Start Problem

  • Xinchang, Khamphaphone;Vilakone, Phonexay;Park, Doo-Soon
    • Journal of Information Processing Systems
    • /
    • 제15권3호
    • /
    • pp.616-631
    • /
    • 2019
  • With the rapid increase of information on the World Wide Web, finding useful information on the internet has become a major problem. The recommendation system helps users make decisions in complex data areas where the amount of data available is large. There are many methods that have been proposed in the recommender system. Collaborative filtering is a popular method widely used in the recommendation system. However, collaborative filtering methods still have some problems, namely cold-start problem. In this paper, we propose a movie recommendation system by using social network analysis and collaborative filtering to solve this problem associated with collaborative filtering methods. We applied personal propensity of users such as age, gender, and occupation to make relationship matrix between users, and the relationship matrix is applied to cluster user by using community detection based on edge betweenness centrality. Then the recommended system will suggest movies which were previously interested by users in the group to new users. We show shown that the proposed method is a very efficient method using mean absolute error.

The use of support vector machines in semi-supervised classification

  • Bae, Hyunjoo;Kim, Hyungwoo;Shin, Seung Jun
    • Communications for Statistical Applications and Methods
    • /
    • 제29권2호
    • /
    • pp.193-202
    • /
    • 2022
  • Semi-supervised learning has gained significant attention in recent applications. In this article, we provide a selective overview of popular semi-supervised methods and then propose a simple but effective algorithm for semi-supervised classification using support vector machines (SVM), one of the most popular binary classifiers in a machine learning community. The idea is simple as follows. First, we apply the dimension reduction to the unlabeled observations and cluster them to assign labels on the reduced space. SVM is then employed to the combined set of labeled and unlabeled observations to construct a classification rule. The use of SVM enables us to extend it to the nonlinear counterpart via kernel trick. Our numerical experiments under various scenarios demonstrate that the proposed method is promising in semi-supervised classification.

Artificial intelligence approach for linking competences in nuclear field

  • Vincent Kuo;Gunther H. Filz;Jussi Leveinen
    • Nuclear Engineering and Technology
    • /
    • 제56권1호
    • /
    • pp.340-356
    • /
    • 2024
  • Bridging traditional experts' disciplinary boundaries is important for nuclear knowledge management systems. However, expert competences are often described in unstructured texts and require substantial human effort to link related competences across disciplines. The purpose of this research is to develop and evaluate a natural language processing approach, based on Latent Semantic Analysis, to enable the automatic linking of related competences across different disciplines and communities of practice. With datasets of unstructured texts as input training data, our results show that the algorithm can readily identify nuclear domain-specific semantic links between words and concepts. We discuss how our results can be utilized to generate a quantitative network of links between competences across disciplines, thus acting as an enabler for identifying and bridging communities of practice, in nuclear and beyond.

Oseltamivir 복용 이후 소아에서 발생한 이상행동 및 그 인과성 평가 (Psychiatric Symptoms after Taking Oseltamivir in a Child and Its Causality Assessment)

  • 손병우;최중혁;이승민;박선순;최은경;유봉규;지은희
    • 한국임상약학회지
    • /
    • 제29권1호
    • /
    • pp.56-60
    • /
    • 2019
  • Oseltamivir is an antiviral medication prescribed to prevent and treat influenza A and B. A case from a community pharmacy in Korea was reported for an adverse event associated with oseltamivir administration. A 20-month-old boy had psychiatric symptoms after receiving 2 doses of oseltamivir. Therefore, an evaluation of whether the psychiatric symptoms were caused by oseltamivir was required. To determine whether the adverse event resulted from the administrated medication or other factors, three tools were used: the Naranjo scale, the Korean causality assessment algorithm (Ver.2), and the World Health Organization-Uppsala Monitoring Center (WHO-UMC) criteria. The psychiatric symptoms occurred after oseltamivir administration, and were attenuated after oseltamivir termination. A possible cause of the psychiatric symptoms is high fever, but information on the body temperature of the patient was not sufficient. Therefore, it was unclear whether there were other nonpharmacological causes of adverse drug reaction. For these reasons, in terms of causality, the results evaluated by the three tools represented, "possible", "probable", and "probable/likely", respectively.

사이버비행 요인 파악 및 예측모델 개발: 혼합방법론 접근 (Juvenile Cyber Deviance Factors and Predictive Model Development Using a Mixed Method Approach)

  • 손새아;신우식;김희웅
    • 한국정보시스템학회지:정보시스템연구
    • /
    • 제30권2호
    • /
    • pp.29-56
    • /
    • 2021
  • Purpose Cyber deviance of adolescents has become a serious social problem. With a widespread use of smartphones, incidents of cyber deviance have increased in Korea and both quantitative and qualitative damages such as suicide and depression are increasing. Research has been conducted to understand diverse factors that explain adolescents' delinquency in cyber space. However, most previous studies have focused on a single theory or perspective. Therefore, this study aims to comprehensively analyze motivations of juvenile cyber deviance and to develop a predictive model for delinquent adolescents by integrating four different theories on cyber deviance. Design/methodology/approach By using data from Korean Children & Youth Panel Survey 2010, this study extracts 27 potential factors for cyber deivance based on four background theories including general strain, social learning, social bonding, and routine activity theories. Then this study employs econometric analysis to empirically assess the impact of potential factors and utilizes a machine learning approach to predict the likelihood of cyber deviance by adolescents. Findings This study found that general strain factors as well as social learning factors have positive effects on cyber deviance. Routine activity-related factors such as real-life delinquent behaviors and online activities also positively influence the likelihood of cyber diviance. On the other hand, social bonding factors such as community commitment and attachment to community lessen the likelihood of cyber deviance while social factors related to school activities are found to have positive impacts on cyber deviance. This study also found a predictive model using a deep learning algorithm indicates the highest prediction performance. This study contributes to the prevention of cyber deviance of teenagers in practice by understanding motivations for adolescents' delinquency and predicting potential cyber deviants.

국민건강영양조사 자료를 활용한 라이프스타일 위험요인과 다중이환간의 연관관계분석 (Assoication Rule Analysis between lifestyle risk behaviors and multimorbidity: Findings from KHANES)

  • 이현주;명성민
    • 한국학교ㆍ지역보건교육학회지
    • /
    • 제25권1호
    • /
    • pp.29-41
    • /
    • 2024
  • 목적: 본 논문에서는 대한민국 성인의 라이프스타일 위험요인과 복합만성질환간의 연관성 규칙을 탐색하여 보건교육프로그램에 필요한 방향성과 기초정보를 제공하는데 목적을 둔다. 방법: 제8기 국민건강영양조사 중 2019년부터 2020년까지 만 19세 이상 성인 7,609명을 대상으로 하였으며, 6개의 라이프스타일 위험요인과 11가지 이환질환에 대하여 R과 R 스튜디오를 이용하여 연관규칙마이닝을 수행하였다. 결과: 본 연구 결과를 통하여 연관규칙마이닝과 같은 데이터마이닝 기법을 통해 생활 습관 위험 요인의 중요성과 여러 만성 질환의 역할을 보여줬다는 점에서 의미가 있다. 결론: 상기 결과를 통하여 신체 활동 부족을 해결하기 위한 운동 프로그램, 부적절한 체중을 해결하기 위한 식이 중재, 부적절한 수면을 해결하기 위한 정신건강 교육프로그램과 같은 선택적이고 집중적인 건강교육 프로그램에 대한 개발의 필요성이 요구된다.

지리정보시스템을 이용한 대전광역시 응급의료 취약지 분석 (The Analysis of Underserved Emergency Medical Services Areas in Daejeon Metropolitan City Using a Geographic Information System)

  • 황지혜;이진용;박성우;이동우;이보우;나백주
    • 농촌의학ㆍ지역보건
    • /
    • 제37권2호
    • /
    • pp.76-83
    • /
    • 2012
  • 이 연구는 대전광역시의 응급의료 취약지를 도출하고 그 지역의 보건학적 특성을 규명하기 위해 시행하였다. 응급의료 취약지는 GIS의 비용가중분석 기법을 이용하여 분석하였으며, 응급의료센터로부터 30분 이내에 접근이 어려운 지역으로 정의하였다. 응급의료 취약 여부에 따른 보건학적 특성은 SPSS 17.0을 이용하여 교차분석을 시행하였다. 연구 결과, 대전광역시의 응급의료 취약지는 12개의 행정동을 포함하고 있으며 이 지역에 약 8,100명이 거주하고 있었다. 응급의료 취약지여부에 따른 보건학적 특성의 차이를 교차 분석한 결과, 농어임업 인구, 국민기초생활수급권자 수, 장애인 수, 노인인구의 수가 카이제곱검정에서 유의하였다(p<0.05). 이번 연구를 통해 대전광역시의 응급의료 취약지를 선정할 수 있었으며 GIS 분석 시도로데이터를 적용하여 기존의 Buffer 방식(단순반경거리)보다 더 정확하고 현실적으로 응급의료 취약지를 선정할 수 있었다. 하지만 이 연구는 대전광역시에 국한되어 시행했기 때문에 향후에는 이 연구에 적용한 GIS 분석 기법과 응급의료 취약지 선정기준 등을 활용하여 전국을 대상으로 한 연구가 필요하다.

인터넷 커뮤니티에서 사용자 참여가 밀착도와 지속적 이용의도에 미치는 영향 (A Study on the Effects of User Participation on Stickiness and Continued Use on Internet Community)

  • 고미현;권순동
    • Asia pacific journal of information systems
    • /
    • 제18권2호
    • /
    • pp.41-72
    • /
    • 2008
  • The purpose of this study is the investigation of the effects of user participation, network effect, social influence, and usefulness on stickiness and continued use on Internet communities. In this research, stickiness refers to repeat visit and visit duration to an Internet community. Continued use means the willingness to continue to use an Internet community in the future. Internet community-based companies can earn money through selling the digital contents such as game, music, and avatar, advertizing on internet site, or offering an affiliate marketing. For such money making, stickiness and continued use of Internet users is much more important than the number of Internet users. We tried to answer following three questions. Fist, what is the effects of user participation on stickiness and continued use on Internet communities? Second, by what is user participation formed? Third, are network effect, social influence, and usefulness that was significant at prior research about technology acceptance model(TAM) still significant on internet communities? In this study, user participation, network effect, social influence, and usefulness are independent variables, stickiness is mediating variable, and continued use is dependent variable. Among independent variables, we are focused on user participation. User participation means that Internet user participates in the development of Internet community site (called mini-hompy or blog in Korea). User participation was studied from 1970 to 1997 at the research area of information system. But since 1997 when Internet started to spread to the public, user participation has hardly been studied. Given the importance of user participation at the success of Internet-based companies, it is very meaningful to study the research topic of user participation. To test the proposed model, we used a data set generated from the survey. The survey instrument was designed on the basis of a comprehensive literature review and interviews of experts, and was refined through several rounds of pretests, revisions, and pilot tests. The respondents of survey were the undergraduates and the graduate students who mainly used Internet communities. Data analysis was conducted using 217 respondents(response rate, 97.7 percent). We used structural equation modeling(SEM) implemented in partial least square(PLS). We chose PLS for two reason. First, our model has formative constructs. PLS uses components-based algorithm and can estimated formative constructs. Second, PLS is more appropriate when the research model is in an early stage of development. A review of the literature suggests that empirical tests of user participation is still sparse. The test of model was executed in the order of three research questions. First user participation had the direct effects on stickiness(${\beta}$=0.150, p<0.01) and continued use (${\beta}$=0.119, p<0.05). And user participation, as a partial mediation model, had a indirect effect on continued use mediated through stickiness (${\beta}$=0.007, p<0.05). Second, optional participation and prosuming participation significantly formed user participation. Optional participation, with a path magnitude as high as 0.986 (p<0.001), is a key determinant for the strength of user participation. Third, Network effect (${\beta}$=0.236, p<0.001). social influence (${\beta}$=0.135, p<0.05), and usefulness (${\beta}$=0.343, p<0.001) had directly significant impacts on stickiness. But network effect and social influence, as a full mediation model, had both indirectly significant impacts on continued use mediated through stickiness (${\beta}$=0.11, p<0.001, and ${\beta}$=0.063, p<0.05, respectively). Compared with this result, usefulness, as a partial mediation model, had a direct impact on continued use and a indirect impact on continued use mediated through stickiness. This study has three contributions. First this is the first empirical study showing that user participation is the significant driver of continued use. The researchers of information system have hardly studies user participation since late 1990s. And the researchers of marketing have studied a few lately. Second, this study enhanced the understanding of user participation. Up to recently, user participation has been studied from the bipolar viewpoint of participation v.s non-participation. Also, even the study on participation has been studied from the point of limited optional participation. But, this study proved the existence of prosuming participation to design and produce products or services, besides optional participation. And this study empirically proved that optional participation and prosuming participation were the key determinant for user participation. Third, our study compliments traditional studies of TAM. According prior literature about of TAM, the constructs of network effect, social influence, and usefulness had effects on the technology adoption. This study proved that these constructs still are significant on Internet communities.

Metagenomic analysis of bacterial community structure and diversity of lignocellulolytic bacteria in Vietnamese native goat rumen

  • Do, Thi Huyen;Dao, Trong Khoa;Nguyen, Khanh Hoang Viet;Le, Ngoc Giang;Nguyen, Thi Mai Phuong;Le, Tung Lam;Phung, Thu Nguyet;Straalen, Nico M. van;Roelofs, Dick;Truong, Nam Hai
    • Asian-Australasian Journal of Animal Sciences
    • /
    • 제31권5호
    • /
    • pp.738-747
    • /
    • 2018
  • Objective: In a previous study, analysis of Illumina sequenced metagenomic DNA data of bacteria in Vietnamese goats' rumen showed a high diversity of putative lignocellulolytic genes. In this study, taxonomy speculation of microbial community and lignocellulolytic bacteria population in the rumen was conducted to elucidate a role of bacterial structure for effective degradation of plant materials. Methods: The metagenomic data had been subjected into Basic Local Alignment Search Tool (BLASTX) algorithm and the National Center for Biotechnology Information non-redundant sequence database. Here the BLASTX hits were further processed by the Metagenome Analyzer program to statistically analyze the abundance of taxa. Results: Microbial community in the rumen is defined by dominance of Bacteroidetes compared to Firmicutes. The ratio of Firmicutes versus Bacteroidetes was 0.36:1. An abundance of Synergistetes was uniquely identified in the goat microbiome may be formed by host genotype. With regard to bacterial lignocellulose degraders, the ratio of lignocellulolytic genes affiliated with Firmicutes compared to the genes linked to Bacteroidetes was 0.11:1, in which the genes encoding putative hemicellulases, carbohydrate esterases, polysaccharide lyases originated from Bacteroidetes were 14 to 20 times higher than from Firmicutes. Firmicutes seem to possess more cellulose hydrolysis capacity showing a Firmicutes/Bacteroidetes ratio of 0.35:1. Analysis of lignocellulolytic potential degraders shows that four species belonged to Bacteroidetes phylum, while two species belonged to Firmicutes phylum harbouring at least 12 different catalytic domains for all lignocellulose pretreatment, cellulose, as well as hemicellulose saccharification. Conclusion: Based on these findings, we speculate that increasing the members of Bacteroidetes to keep a low ratio of Firmicutes versus Bacteroidetes in goat rumen has resulted most likely in an increased lignocellulose digestion.