• Title/Summary/Keyword: 추천 플랫폼

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An Empirical Study on the User Experience Model of Music Streaming Service (음악 스트리밍 서비스 사용자 경험 모델에 관한 실증 연구)

  • Lee, Jeonga;Kim, Hyung Jin;Lee, Ho Geun
    • Informatization Policy
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    • v.30 no.3
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    • pp.92-121
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    • 2023
  • As music streaming services (MSS) involve various interactions with users during the music consumption process, it is important to understand the user experience and manage the service accordingly. This study developed a user experience model for MSS by theoretically linking the quality characteristics considered important by music service users with the structure of user experience. PLS analysis was then performed using survey data to test the model. As a result, functionality (search, browsing, and personalized recommendation), UI usability, content quality (currentness, sufficiency, relevance), and monetary cost were found to be key experience factors that determine the experience consequence, i.e., user satisfaction. In addition, in a supplementary analysis comparing domestic and global services, differences in user experience were found between the two groups in terms of functionality and content quality. The user experience model of MSS proposed in this study serves as a new foundation for theory-based research in this field and provides meaningful implications for the competitive landscape among music streaming service platforms and for their competitive strategies.

Korean Hair Style Trends and 3D Hair Modeling for Metaverse Content Creation Guidelines (메타버스 저작 가이드라인 제공을 위한 한국인 헤어스타일 트렌드와 3D헤어 모델링)

  • Chae-Rim Lee;Seongah Chin
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.5
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    • pp.501-508
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    • 2023
  • This research endeavors to categorize a diverse range of hairstyles for both men and women in South Korea using hair images and subsequently generate 3D hair models based on this classification. The classification process relies on prominent visual features, resulting in the division of hairstyles into 14 distinct categories, including six styles for men and eight styles for women. By accurately matching the most appropriate hairstyle to the given hair image, the study aims to provide recommendations for the necessary hair models required for metaverse authoring tools, thus enabling realistic hair styling. This capability can be effectively utilized on platforms like metaverse, allowing users to seamlessly find and apply the 3D hair model that closely resembles their remotely captured or pre-existing hair images. Through this innovative approach, users can be presented with the most similar 3D hair model, enhancing their virtual hairstyling experience.

A Dynamical Load Balancing Method for Data Streaming and User Request in WebRTC Environment (WebRTC 환경에 데이터 스트리밍 및 사용자 요청에 따른 동적로드 밸런싱 방법)

  • Ma, Linh Van;Park, Sanghyun;Jang, Jong-hyun;Park, Jaehyung;Kim, Jinsul
    • Journal of Digital Contents Society
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    • v.17 no.6
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    • pp.581-592
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    • 2016
  • WebRTC has quickly grown to be the world's advanced real-time communication in several platforms such as web and mobile. In spite of the advantage, the current technology in WebRTC does not handle a big-streaming efficiently between peers and a large amount request of users on the Signaling server. Therefore, in this paper, we put our work to handle the problem by delivering the flow of data with dynamical load balancing algorithms. We analyze the request source users and direct those streaming requests to a load balancing component. More specifically, the component determines an amount of the requested resource and available resource on the response server, then it delivers streaming data to the requesting user parallel or alternately. To show how the method works, we firstly demonstrate the load-balancing algorithm by using a network simulation tool OPNET, then, we seek to implement the method into an Ubuntu server. In addition, we compare the result of our work and the original implementation of WebRTC, it shows that the method performs efficiently and dynamically than the origin.

Capacity Building Programs for Emerging Countries by the Korean Regional Innovation Model: Policy Analysis and Suggestions (한국형 지역혁신모델의 신흥국 전수사업 : 정책분석과 제안)

  • Kim, Hak-Min
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.19 no.3
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    • pp.75-82
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    • 2018
  • Recently, emerging countries have been paying attention to Korean economic development policy, trying to adopt the Korean regional innovation model. Korea is also interested in exporting its regional innovation model and enhancing economic cooperation with those countries. This paper aims to analyze the capacity-building programs of the Korean regional innovation model for emerging countries and suggests policies for it. For this purpose, the local innovators' participation patterns in the process of collaborative learning/networking/interaction are investigated with a focused group-interview method. From an analysis of the programs supported by Korean organizations, this study finds that the correlation coefficient between the training time of capacity building and the participation rate of local members' collaborative learning is very high (0.975). Since the correlation coefficient between the participation rates of collaborative learning and networking is relatively low (0.667), a policy to link local collaborative learning to networking should be provided. As the correlation coefficient between the participation rates of networking and interaction is high (0.950), networking is a key to regional innovation. This study recommends activity programs to promote networking among local innovators, rather than training and consulting programs. As introduced in the Chungnam Techno Park case, this study suggests that the capacity-building program should include programs to initiate a collaborative learning network, to create a local-demand, regional innovation model, and to operate the regional innovation platform, which should be done by local innovators in the emerging countries.

Investigation of Leksell GammaPlan's ability for target localizations in Gamma Knife Subthalamotomy (감마나이프 시상하핵파괴술에서 목표물 위치측정을 위한 렉셀 감마플랜 능력의 조사)

  • Hur, Beong Ik
    • Journal of the Korean Society of Radiology
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    • v.13 no.7
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    • pp.901-907
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    • 2019
  • The aim of this study is to evaluate the ability of target localizations of Leksell GammaPlan(LGP) in Gamma Knife Subthalamotomy(or Pallidotomy, Thalamotomy) of functional diseases. To evaluate the accuracy of LGP's location settings, the difference Δr of the target coordinates calculated by LGP (or LSP) and author's algorithm was reviewed for 10 patients who underwent Deep Brain Stimulation(DBS) surgery. Δr ranged from 0.0244663 mm to 0.107961 mm. The average of Δr was 0.054398 mm. Transformation matrix between stereotactic space and brain atlas space was calculated using PseudoInverse or Singular Value Decomposition of Mathematica to determine the positional relationship between two coordinate systems. Despite the precise frame positioning, the misalignment of yaw from -3.44739 degree to 1.82243 degree, pitch from -4.57212 degree to 0.692063 degree, and rolls from -6.38239 degree to 7.21426 degree appeared. In conclusion, a simple in-house algorithm was used to test the accuracy for location settings of LGP(or LSP) in Gamma Knife platform and the possibility for Gamma Knife Subthalamotomy. The functional diseases can be treated with Gamma Knife Radiosurgery with safety and efficacy. In the future, the proposed algorithm for target localizations' QA will be a great contributor to movement disorders' treatment of several Gamma Knife Centers.

The Effects of Webtoon User's Perceived Usability and Interactivity on Service Satisfaction and Willingness to Pay (웹툰 서비스의 사용편리성과 상호작용적 행위가 서비스 만족과 지불의사에 미치는 영향)

  • Chae, Jung-Hwa;Han, Chang-Wan;Lee, Yeong-Ju
    • Cartoon and Animation Studies
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    • s.38
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    • pp.259-286
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    • 2015
  • This study investigates the effect of the motivation to use webtoon and the convenience of use(the character of the webtoon service) on the interactivity, and then examines how the interactivity affect the webtoon user's satisfaction and willingness to pay. Using factor analysis, this study found two motivations to use webtoon including 'information acquisition', 'entertainment and easiness of access'. These motivations have an influence on the interaction of the content and Webtoon's user and of Webtoon's users. The motivation of the entertainment and easiness of access is more influential to user's interactivity. The convenience of use is divided two types that are the convenience of the searching information and service. The convenience of webtoon service has positive influence of two types of interaction. The last results find that webtoon user's satisfaction is influenced by gender, the convenience of the searching information and using service. The satisfaction of the female user is higher than man. The more convenience of use is, the more satisfaction of users will be. Willingness to pay is influenced by age, the convenience of webtoon service, and the user's interactivity. The older users are, the more convenience of webtoon service is, and the more the user's interactivity, the higher willing to pay will get. The implications of the findings are discussed in terms of the way to change the profit structure of webtoon service and suggest to increase the interactivity in webtoon service.

A Study on the Current Status and Policy Direction of Open Banking (오픈뱅킹(Open Banking)의 현황과 정책방향에 관한 연구)

  • Park, Jeongkuk;Kim, Injai
    • Journal of Service Research and Studies
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    • v.10 no.1
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    • pp.17-31
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    • 2020
  • Open banking, the global trend of the financial industry, is the driving force behind various innovations in the financial market in the future. The right policy direction and detailed tasks are important for triggering the differentiation and reunion of the financial industry. The purpose of this study is to investigate and analyze the background of open banking, domestic and international trends, and Korea's open banking policy. The policy directions and tasks for successful settlement and activation of open banking system are carefully suggested. Open banking is a policy to allow third party provider(TPP) access to bank accounts and open payment functions under the explicit consent of the customer. The opening of the open banking era is expected to begin competition and cooperation between banks and fintech companies in earnest, thus enhancing the competitiveness of the financial industry and contributing to the utility of financial consumers. To this end, policymakers should make every effort to advance open-ended financial settlement infrastructure, open banking legal grounds, and minimize side effects such as customer data leakage and poor financial system stability. Banks and fintech companies will need to focus on scattered customer financial information on a single platform and develop it into a convergence and discrimination of true financial services.

Personal Training Suggestion System based Hybrid App (하이브리드 앱 기반의 퍼스널 트레이닝 제안 시스템)

  • Kye, Min-Seok;Lee, Hye-Soo;Park, Sung-Hyun;Kim, Dong-Ok;Jung, Hoe-Kyung
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2014.05a
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    • pp.665-667
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    • 2014
  • Wellness is IT fused with the user manage and maintain the health of a service can help you. If you are using an existing Fitness Center to yourself by choosing appliances that fit with the risk of injury in order to learn how the efficient movement had existed for a long time was needed. To resolve, use the personal training but more expensive cost of people's problems, and shown again in the habit of exercising alone will have difficulty. This paper provides a variety of smart phones based on a hybrid app with compatibility with the platform and personalized training market system. Users of the Fitness Center is built into smart phones in the history of their movement sensors or transmits to the Web by typing directly. This is based on exercise programs tailored to users via the training market. Personal training marketplace has a variety of users, check the history of this movement he can recommend an exercise program for themselves can be applied by selecting the. This provides users with the right exercise program can do long-term exercise habits can be proactive and goal setting.

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Development of an open source-based APT attack prevention Chrome extension (오픈소스 기반 APT 공격 예방 Chrome extension 개발)

  • Kim, Heeeun;Shon, Taeshik;Kim, Duwon;Han, Gwangseok;Seong, JiHoon
    • Journal of Platform Technology
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    • v.9 no.3
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    • pp.3-17
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    • 2021
  • Advanced persistent threat (APT) attacks are attacks aimed at a particular entity as a set of latent and persistent computer hacking processes. These APT attacks are usually carried out through various methods, including spam mail and disguised banner advertising. The same name is also used for files, since most of them are distributed via spam mail disguised as invoices, shipment documents, and purchase orders. In addition, such Infostealer attacks were the most frequently discovered malicious code in the first week of February 2021. CDR is a 'Content Disarm & Reconstruction' technology that can prevent the risk of malware infection by removing potential security threats from files and recombining them into safe files. Gartner, a global IT advisory organization, recommends CDR as a solution to attacks in the form of attachments. There is a program using CDR techniques released as open source is called 'Dangerzone'. The program supports the extension of most document files, but does not support the extension of HWP files that are widely used in Korea. In addition, Gmail blocks malicious URLs first, but it does not block malicious URLs in mail systems such as Naver and Daum, so malicious URLs can be easily distributed. Based on this problem, we developed a 'Dangerzone' program that supports the HWP extension to prevent APT attacks, and a Chrome extension that performs URL checking in Naver and Daum mail and blocking banner ads.

A Self-Service Business Intelligence System for Recommending New Crops (재배 작물 추천을 위한 셀프서비스 비즈니스 인텔리전스 시스템)

  • Kim, Sam-Keun;Kim, Kwang-Chae;Kim, Hyeon-Woo;Jeong, Woo-Jin;Ahn, Jae-Geun
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.22 no.3
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    • pp.527-535
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    • 2021
  • Traditional business intelligence (BI) systems have been used widely as tools for better decision-making on time. On the other hand, building a data warehouse (DW) for the efficient analysis of rapidly growing data is time-consuming and complex. In particular, the ETL (Extract, Transform, and Load) process required to build a data warehouse has become much more complex as the BI platform moves to a cloud environment. Various BI solutions based on the NoSQL database, such as MongoDB, have been proposed to overcome these ETL issues. Decision-makers want easy access to data without the help of IT departments or BI experts. Recently, self-service BI (SSBI) has emerged as a way to solve these BI issues. This paper proposes a self-service BI system with farming data using the MongoDB cloud as DW to support the selection of new crops by return-farmers. The proposed system includes functions to provide insights to decision-makers, including data visualization using MongoDB charts, reporting for advanced data search, and monitoring for real-time data analysis. Decision makers can access data directly in various ways and can analyze data in a self-service method using the functions of the proposed system.