• International Journal of Knowledge Content Development & Technology
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• v.12 no.4
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• pp.7-23
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• 2022

Media utilization in colleges of education in Nigeria is compulsory to train pre-service teachers. Psychological variables (emotional intelligence, and self-efficacy) and media improvisation were investigated on media resources utilization among lecturers in colleges of education in the South-West, Nigeria. The descriptive design was adopted and multi-staged procedure was used to select 812 (493 males; 319 females). Emotional intelligence (r = 0.79), media improvisation (r = 0.71), self-efficacy (r = 0.85 and media resources utilization r = 0.96) scales were used for data collection. The data were analyzed using descriptive statistics and Pearson product moment at 0.05 level of significance. The level of emotional intelligence, self-efficacy and media improvisation were high. Significant relationship existed among: emotional intelligence (r = 0.42), Media improvisation (r = 0.46) and Teaching self-efficacy (r = 0.31) to media resources utilization. It recommended that lecturers' emotional intelligence, self-efficacy and media improvisation are to be promoted in colleges of education.

• Journal of Korean Library and Information Science Society
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• v.51 no.4
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• pp.231-247
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• 2020

As artificial intelligence (AI) has emerged as a promising future technology among the fourth industrial revolution, we are trying to apply artificial intelligence technology across all area of society, including libraries. This study investigated the effects, issues, and implications of artificial intelligence on university library services. As a research method, in-depth interviews were conducted with IT experts of university libraries in North America, and conclusions and discussion were drawn from interview results and related documents. Research results revealed that university libraries in North America were trying to build an infrastructure that facilitates information access and retrieval based on artificial intelligence systems and to provide new services in collaboration with AI research institutes in universities. This study raised issues regarding the expansion of the role of libraries and librarians, privacy, and data quality. It was also discussed that the need for re-education of university librarians to become software engineers who play a role in disseminating knowledge. In addition, this study suggested the investment for the establishment of the information system and an artificial intelligence research center in the library. The study discussed limitations of research due to changes in the research environment and suggestions for future research.

• Smart Media Journal
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• v.10 no.1
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• pp.99-107
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• 2021

In addition to the 4th Industrial Revolution and Industry 4.0, the recent megatrends in the ICT field are Big-data, IoT, Cloud Computing, and Artificial Intelligence. Therefore, rapid digital transformation according to the convergence of various industrial areas and ICT fields is an ongoing trend that is due to the development of technology of AI services suitable for the era of the 4th industrial revolution and the development of subdivided technologies such as (Business Intelligence), IA (Intelligent Analytics, BI + AI), AIoT (Artificial Intelligence of Things), AIOPS (Artificial Intelligence for IT Operations), and RPA 2.0 (Robotic Process Automation + AI). This study aims to integrate and advance various machine learning services of infrastructure-side GPU, CDA (Connected Data Architecture) framework, and AI based on mass distributed Abyss storage in accordance with these technical situations. Also, we want to utilize AI business revenue model in various industries.

• The Journal of the Korea Contents Association
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• v.10 no.5
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• pp.351-359
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• 2010

Recently, interesting of U-city with ubiquitous computing technologies has increased and u-city services can improve people's quality of life. Among the u-city services, traffice service is actively developed in our lives. In this paper, we propose the business model and business model process in u-intelligence traffic service. To propose the research purpose, we examined the prior business model and investigated u-intelligence traffic information and control services. And also, we draw scenario and used it to identify business model. To efficiently understand proposed business model, we built business model process of u-intelligence traffic information and control services. The results of study, we draw 4 representative U-intelligence traffic information and control service. Based on representative services, we proposed business model and business model process with stakeholder, benefiter and value model. This study concludes with implications of the study results as well as limitations and future research directions.

• Journal of the Korean Society for Precision Engineering
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• v.21 no.7
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• pp.15-21
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• 2004

A number of Humanoids are introduced including ASIMO, HRP-2 Promet, Johnniee, Babybot, and KHR-2. Most researches are focused on the development of stable biped walking of Humanoids and it is not easy to endow an Humanoid with intelligence and service technology until now in the sense that the operation time of a Humanoid is limited less than 30 minutes even in the case that the battery is used only for the control of actuators in a Humanoid. In this paper, a brief survey on Humanoids is proposed and the concept of 'Network-based Humanoid', a Humanoid being able to provide intelligence for human-friendly services using ubiquitous networks, is introduced briefly.

• Electronics and Telecommunications Trends
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• v.34 no.2
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• pp.92-100
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• 2019

Vast amounts of different service-specific requirements and vertical network slicing in a 5G network increase the complexity, cost of the network management and resource operations for carriers. To solve this problem, 3GPP is working on the standardization of NWDAF to support the automation of the 5G network by utilizing artificial intelligence technologies based on Big Data to improve the efficiency of network management and resource operation. In addition, the ETSI ZSM Industry Specification Group is developing technical standards for the automation of end-to-end network management and service delivery. This document provides an overall survey of the latest standardization issues of the NWDAF in 3GPP and ETSI ZSM for 5G network automation and intelligence.

• Smart Media Journal
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• v.11 no.5
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• pp.82-90
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• 2022

Along with the growing popularity of 5G technology, providing flexible and personalized network services suitable for requirements of customers has also become a lucrative venture and business key for network service providers. Therefore, dynamic network provisioning is needed to help network service providers. Moreover, increasing user demand for network services meets specific requirements of users, including location, usage duration, and QoS. In this paper, a routing algorithm, which makes routing decisions using Reinforcement Learning (RL) based on the information about link stability, is proposed and called Link Stability aware Reinforcement Learning (LSRL) routing. To evaluate this algorithm, several mininet-based experiments with various network settings were conducted. As a result, it was observed that the proposed method accepts more requests through the evaluation than the past link annotated shorted path algorithm and it was demonstrated that the proposed approach is an appealing solution for dynamic network provisioning routing.

• Journal of the Korean Society for Library and Information Science
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• v.48 no.4
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• pp.345-376
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• 2014

This study examined (1) what effect emotional labor has on an university library, focusing on (2) the relationship among a supervisor's emotional intelligence, the extent of social support and the level of library service on job performance. The survey period took place from 14 Oct. to 4 Nov. 2013. 533 librarians at 13 public and 28 private university libraries were included in the survey. Of the 533 surveys distributed, 529 were returned and used in the final analysis. SPSS Win 21.0 was used for statistical analysis, factor analysis, regression analysis and differential analysis. The survey also shows that a librarian's emotional labor affects emotional intelligence of supervisor, social support and library service level positively. This finding is not the case for the employees in the general service industry. Because the librarian is professional and manages stress better than general employees. This research suggest the following practical measures. Educational programs for librarian's emotional intelligence should be planned in order to improve library service.

• Journal of Information Technology Applications and Management
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• v.17 no.1
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• pp.127-139
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• 2010

Customer behavior pattern discovery is the fundament for conducting customer oriented services and the services management. But, the composition, need, interest and experience of customers may be continuously changing, thereof lead to the difficulty in refining a stable description of their consistent behavior pattern. This paper presented a new method for the behavior pattern discovery from a changing collection of customers. It was originally inspired from the swarm intelligence of ant colony. By the adaptive clustering, some typical behavior patterns which reflect the characteristics of related customer clusters can extracted dynamically and adaptively.

• Journal of the Semiconductor & Display Technology
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• v.20 no.2
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• pp.121-125
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• 2021

Cloud service has the characteristic that it must be always available and that it must be able to respond immediately to user requests. This study suggests a method for constructing a proactive and autonomous quality and performance management system to meet these characteristics of cloud services. To this end, we identify quantitative measurement factors for cloud service quality and performance management, define a structure for applying a time series framework to cloud service application quality and performance management for proactive management, and then use big data and artificial intelligence for autonomous management. The flow of data processing and the configuration and flow of big data and artificial intelligence platforms were defined to combine intelligent technologies. In addition, the effectiveness was confirmed by applying it to the cloud service quality and performance management system through a case study. Using the methodology presented in this study, it is possible to improve the service management system that has been managed artificially and retrospectively through various convergence. However, since it requires the collection, processing, and processing of various types of data, it also has limitations in that data standardization must be prioritized in each technology and industry.