• Title/Summary/Keyword: Recommendation service utilization

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Implementation of OPNET-based simulation model for the performance evaluation of ATM VP Transit network (ATM VP 중계망의 성능 시험을 위한 OPNET 기반의 시뮬레이션 모델 구현)

  • 구수용;김영탁
    • Journal of the Korea Society for Simulation
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    • v.8 no.4
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    • pp.125-136
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    • 1999
  • In the forthcoming public ATM/B-ISDN, the efficient resource management with pre-planned transit networking which public domain NNI signaling is essential to maintain high network utilization and to assure QoS to the multimedia service users. For this purpose the transit networks must be managed according to the bearer service capability which is defined by ATM Forum and ITU-T. In this paper, we introduce an implementation of ATM transit networking with ATM VP-XC(Virtual Path cross-connect) and US(Network Management System). The functions of ATM VP-XC and NMS have been simulated with OPNET 6.1 modules. We implemented the F4 OAM functions of ATM VP connection according to the ITU-T 1.610 recommendation. Also, the ATM VP transit networking is managed by the NMS according to the connection management architecture of the TWN(Telecommunications Management Network) /TINA ( Telecommunications Information Networking Architecture).

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Related factors to satisfaction of patients visiting dental hospital and clinics (치과 병·의원 이용 환자의 만족도 관련요인)

  • Kim, Chang-Suk;Yoon, Young-Ju;Lee, Kyeong-Soo
    • Journal of Korean society of Dental Hygiene
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    • v.13 no.3
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    • pp.411-418
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    • 2013
  • Objectives : The quality of service is considered as the difference between services that customers perceive and expect by using SERVQUAL model and the basic data for the efficiency of management of dental hospital and clinics, the differentiation strategies of dental medical institutions and the improvements on quality of service are provided. Methods : Subjects were 469 patients who visited six dental hospitals and clinics in Daegu-Gyeongbuk regions. Questionnaire consisted of five items such as type, reliability, responsiveness, certainty and empathy properties. Data were analyzed using SPSS 12.0 program in this study. Results : Women had high satisfaction scores of medical services in certainty and empathy properties. 40s and higher had the highest score in the type property. 30s had high score in the certainty property. For expected service satisfaction, 30s had the highest score in dental practitioners and administrative staffs. For reuse of current medical institution and intent for recommendation, certainty property and factor of dentist and dental practitioners had high scores. Additionally, reliability and responsiveness properties were statistically significant. Conclusions : Medical institutions should make every effort to get the dentists or dental practitioners have the medical knowledge at a high level, a kindness for patients and trust from patients.

A Lightweight Software-Defined Routing Scheme for 5G URLLC in Bottleneck Networks

  • Math, Sa;Tam, Prohim;Kim, Seokhoon
    • Journal of Internet Computing and Services
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    • v.23 no.2
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    • pp.1-7
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    • 2022
  • Machine learning (ML) algorithms have been intended to seamlessly collaborate for enabling intelligent networking in terms of massive service differentiation, prediction, and provides high-accuracy recommendation systems. Mobile edge computing (MEC) servers are located close to the edge networks to overcome the responsibility for massive requests from user devices and perform local service offloading. Moreover, there are required lightweight methods for handling real-time Internet of Things (IoT) communication perspectives, especially for ultra-reliable low-latency communication (URLLC) and optimal resource utilization. To overcome the abovementioned issues, this paper proposed an intelligent scheme for traffic steering based on the integration of MEC and lightweight ML, namely support vector machine (SVM) for effectively routing for lightweight and resource constraint networks. The scheme provides dynamic resource handling for the real-time IoT user systems based on the awareness of obvious network statues. The system evaluations were conducted by utillizing computer software simulations, and the proposed approach is remarkably outperformed the conventional schemes in terms of significant QoS metrics, including communication latency, reliability, and communication throughput.

A Study on the Current State of the Library's AI Service and the Service Provision Plan (도서관의 인공지능(AI) 서비스 현황 및 서비스 제공 방안에 관한 연구)

  • Kwak, Woojung;Noh, Younghee
    • Journal of Korean Library and Information Science Society
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    • v.52 no.1
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    • pp.155-178
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    • 2021
  • In the era of the 4th industrial revolution, public libraries need a strategy for promoting intelligent library services in order to actively respond to changes in the external environment such as artificial intelligence. Therefore, in this study, based on the concept of artificial intelligence and analysis of domestic and foreign artificial intelligence related trends, policies, and cases, we proposed the future direction of introduction and development of artificial intelligence services in the library. Currently, the library operates a reference information service that automatically provides answers through the introduction of artificial intelligence technologies such as deep learning and natural language processing, and develops a big data-based AI book recommendation and automatic book inspection system to increase business utilization and provide customized services for users. Has been provided. In the field of companies and industries, regardless of domestic and overseas, we are developing and servicing technologies based on autonomous driving using artificial intelligence, personal customization, etc., and providing optimal results by self-learning information using deep learning. It is developed in the form of an equation. Accordingly, in the future, libraries will utilize artificial intelligence to recommend personalized books based on the user's usage records, recommend reading and culture programs, and introduce real-time delivery services through transport methods such as autonomous drones and cars in the case of book delivery service. Service development should be promoted.

Strengthening the Intention to Use Vehicle Tax Service Online in Indonesia

  • AMBARWATI, Rita;ASTUTI, Mudji;DIJAYA, Rohman
    • Journal of Distribution Science
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    • v.18 no.5
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    • pp.25-33
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    • 2020
  • Purpose: The use of e-Samsat services in East Java has not been significant in the amount of use of its services for tax payments as a whole. The purpose of this study is to analyze what factors East Java e-Samsat services practice and the existence of recommendations as a basis for government decisions to improve the quality of East Java e-Samsat services. Research design, data and methodology: Our model hypothesizes that three key factors determine the intention to use e-samsat platform such as: trust, awareness, ease to use. Data collection methods by distributing questionnaires and interviews. Results: The results of the study provide two findings, firstly, Trust, Ease of Use, Awareness directly or indirectly affects the Intention to Use the East Java e-Samsat service for motor vehicle taxpayers. Thus it is essential to pay attention to these three variables in terms of clarity, reliability, and timeliness as a recommendation to improve the quality of East Java e-Samsat services.. Conclusions: The results of this study can be applied and developed in other countries besides Indonesia with the same cultural patterns. Several variables have been measured in previous studies in several Asian continent countries.

Customers' Utilization and Satisfaction in Oriental Medical Clinics (한의원 환자들의 한방의료 이용 행태 및 만족도 실태)

  • Seo, Young-Joon;Kang, Shin-Hee;Kim, Yeon-Hee;Choi, Dae-Bong;Shin, Hyun-Kyu
    • The Journal of Korean Medicine
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    • v.31 no.2
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    • pp.124-136
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    • 2010
  • Objective:: This study aimed to examine the customers' utilization of and satisfaction with oriental medical clinics in South Korea. Method: The data for this study were collected from 1,208 patients of 391 oriental medical clinics through a mail questionnaire survey from September to December 2008. The collected data were analyzed by the frequency analysis and $X^2$-test. Results: The results of the study were as follows. First, the most important reason that patients used oriental medical services was to get both oriental and western medical services simultaneously, because they thought such approach would be more effective for treating their diseases. Second, two important reasons that patients visited oriental medical clinics were "the reputation of and trust in the oriental medical clinics" and "the recommendation of their family and friends". Third, many patients of the oriental medical clinics have concerns about the "high prices and the outcome of oriental medical services". Fourth, the most preferred oriental medical service was "acupuncture". Fifth, it was found that 75% of the respondents were satisfied with the services they had received. They told that the outcome of the care and the kindness of the clinics' staff were very important factors that have an impact on their satisfaction. Conclusion: The study results imply that oriental medical clinics have to make an effort to strengthen their reputation and trust in the community through the scientific validation of oriental medicine, differentiated services mixed with traditional value, customer relationship management, reasonable and acceptable price of the services, staff education, and continuous quality improvement.

A Study on Environmental Factor Recommendation Technology based on Deep Learning for Digital Agriculture (디지털 농업을 위한 딥러닝 기반의 환경 인자 추천 기술 연구)

  • Han-Jin Cho
    • Smart Media Journal
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    • v.12 no.5
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    • pp.65-72
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    • 2023
  • Smart Farm means creating new value in various fields related to agriculture, including not only agricultural production but also distribution and consumption through the convergence of agriculture and ICT. In Korea, a rental smart farm is created to spread smart agriculture, and a smart farm big data platform is established to promote data collection and utilization. It is pushing for digital transformation of agricultural products distribution from production areas to consumption areas, such as expanding smart APCs, operating online exchanges, and digitizing wholesale market transaction information. As such, although agricultural data is generated according to characteristics from various sources, it is only used as a service using statistics and standardized data. This is because there are limitations due to distributed data collection from agriculture to production, distribution, and consumption, and it is difficult to collect and process various types of data from various sources. Therefore, in this paper, we analyze the current state of domestic agricultural data collection and sharing for digital agriculture and propose a data collection and linkage method for artificial intelligence services. And, using the proposed data, we propose a deep learning-based environmental factor recommendation method.

Exploring Determinants Affecting Mobile Application Use and Recommendation (스마트폰 앱 사용 및 추천의도 영향 요인에 관한 연구 - Utilitarian vs. Hedonic 유형간 차이비교)

  • Lee, Hee Seo;Kwak, Na yeon;Lee, Choong C
    • The Journal of the Korea Contents Association
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    • v.15 no.8
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    • pp.481-494
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    • 2015
  • Recently mobile application providers and telecommunication companies went through a difficult time in a highly competitive mobile and its application market where we've seen a huge trend for diverse mobile applications occurring on smart phone. If there were a time when those of companies need to analyze factors affecting users' intention to download or recommend others applications more than ever, it is now. Based on UTAUT model, this research is to provide them with strategic implications by analyzing those factors according to application types with utilization and hedonic values. As a result, firstly trust and personalization have positive impact on Performance Expectancy and users' intention to use have been significantly affected by Performance Expectancy and Effort Expectancy. Secondly the result of path analysis has a different outcome according to application types with utilization and hedonic values. Therefore it is expected that the research gives practical and strategic implication for application developer, mobile companies and others helping application development, new service launch and marketing implementation.

A Study on the Intelligent Online Judging System Using User-Based Collaborative Filtering

  • Hyun Woo Kim;Hye Jin Yun;Kwihoon Kim
    • Journal of the Korea Society of Computer and Information
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    • v.29 no.1
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    • pp.273-285
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    • 2024
  • With the active utilization of Online Judge (OJ) systems in the field of education, various studies utilizing learner data have emerged. This research proposes a problem recommendation based on a user-based collaborative filtering approach with learner data to support learners in their problem selection. Assistance in learners' problem selection within the OJ system is crucial for enhancing the effectiveness of education as it impacts the learning path. To achieve this, this system identifies learners with similar problem-solving tendencies and utilizes their problem-solving history. The proposed technique has been implemented on an OJ site in the fields of algorithms and programming, operated by the Chungbuk Education Research and Information Institute. The technique's service utility and usability were assessed through expert reviews using the Delphi technique. Additionally, it was piloted with site users, and an analysis of the ratio of correctness revealed approximately a 16% higher submission rate for recommended problems compared to the overall submissions. A survey targeting users who used the recommended problems yielded a 78% response rate, with the majority indicating that the feature was helpful. However, low selection rates of recommended problems and low response rates within the subset of users who used recommended problems highlight the need for future research focusing on improving accessibility, enhancing user feedback collection, and diversifying learner data analysis.

Self-perception of the Amount of Medical Aid Use of Outpatient Overusers in Korea (의료급여 외래 과다이용자의 의료이용량에 대한 자기인식)

  • Shin, Sun-Mi;Kim, Eui-Sook;Lee, Hee-Woo
    • Health Policy and Management
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    • v.19 no.2
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    • pp.21-35
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    • 2009
  • Limited studies examined Medical Aid recipients' perception for amount of medical use. This study aimed to identify self-perception(optimal, under and overutilization) for amount, and real amount of medical use, and to determine factors associated with the perception. Subjects were 2,489 Medical Aid recipients among top 2% overusers in 2005. 200 case managers(CM) managing them conducted survey. CM interviewed them using 2005 medical claiming data from the Health Insurance Review & Assessment Service and structured questionnaire. Despite of overusers, perception of overutilization was only 26.9% and 23.6% in Class I and Class II, and that of underutilization was 21.4% and 18.7% respectively. In Class I, monthly total outpatient cost per capita of overutilization perception in 2006 was 206 thousand won higher than 150 thousand won of optimal utilization. Amounts of outpatient visit-days and prescribed cases of overutilization perception were higher than those of optimal and underutilization(p <0.0001). In Class II, overutilization perception had more prescribed cases(p 0.004). After adjustment of confounding factors including age and sex, the associated factors(odds ratio) with overutilization perception were hypertension(1.25), arthritis(1.32), depression(1.66), visit of multi medical institutions(3.09), and those of the underutilization were female(1.34), disabled(1.27), no family support(1.49), living in medium and small city(1.48), experience of unabled-visit to medical institution(2.54), frequent visit-recommendation from physician (1.36). In conclusion, education and consult are needed for subjects to improve the reasonable decision of medical use, and the self-care ability to manage diseases and symptoms. We suggest reinforcing the alternative service in community instead of costly medical institution.