• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.5
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• pp.786-792
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• 2022

In the cloud computing environment, there has been a lot of research into the Fog/Edge Computing (FEC) paradigm for securing user proximity of application services and computation offloading to alleviate service delay difficulties. The method of predicting dynamic location change patterns of edge devices (moving objects) requesting application services is critical in this FEC environment for efficient computing resource distribution and deployment. This paper proposes an optimal moving pattern extraction algorithm in which variable weights (distance, time, congestion) are applied to selected paths in addition to a support factor threshold for frequency patterns (moving objects) of edge devices. The proposed algorithm is compared to the OPE_freq [8] algorithm, which just applies frequency, as well as the A^* and Dijkstra algorithms, and it can be shown that the execution time and number of nodes accessed are reduced, and a more accurate path is extracted through experiments.

• KIPS Transactions on Software and Data Engineering
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• v.1 no.3
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• pp.137-148
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• 2012

Cloud service users request dedicated virtual computing resource from the cloud service provider to process jobs in independent environment from other users. To optimize this process with automated method, in this paper we proposed a framework for workflow scheduling in the cloud environment, in which the core component is the middleware called broker mediating the interaction between users and cloud service providers. To process jobs in on-demand and virtualized resources from cloud service providers, many papers propose scheduling algorithms that allocate jobs to virtual machines which are dedicated to one machine one job. With this method, the isolation of being processed jobs is guaranteed, but we can't use each resource to its fullest computing capacity with high efficiency in resource utilization. This paper therefore proposed a cost-efficient job scheduling algorithm which maximizes the utilization of managed resources with increasing the degree of multiprogramming to reduce the number of needed virtual machines; consequently we can save the cost for processing requests. We also consider the performance degradation in proposed scheme with thrashing and context switching. By evaluating the experimental results, we have shown that the proposed scheme has better cost-performance feature compared to an existing scheme.

• Journal of Species Research
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• v.9 no.1
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• pp.19-25
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• 2020

Larvae, pupae, and adults reared from the pupae of Simulium (Boreosimulium) konoi were collected and recorded from Korea for the first time. I provide detailed descriptions of both immatures and adults accompanied with photographs. The subgenus Boreosimulium, previously unknown from Korea, contains 19 species in 3 species-groups worldwide and only 2 species, viz, S. (B.) konoi and S. (B.) tokachiense, are recorded from Japan. Simulium konoi is unique among the members of the subgenus by having water dropshaped denticles on the anterior portion of the cibarium in females, which is considered as an autapomorphic character so far not found in other black flies, W or inverted V-shaped ventral plate of male genitalia, and larval thorax and abdominal segments covered with short black setae. Korean specimens of S. konoi collected from two adjacent localities can readily be recognized by denticles on the cibarium in females and well-developed ventral plate of male genitalia but showed geographical variation, e.g., lacking ventral tubercle on larval abdominal segment IX. Due to the autapomorphy and other characters found in S. konoi, the current placement of the S. konoi in the subgenus Boreosimulium or species-group assignment is tentative.

• Journal of Communications and Networks
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• v.18 no.2
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• pp.162-172
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• 2016

The placement of the complete baseband processing in a centralized pool results in high data rate requirement and inflexibility of the fronthaul network, which challenges the energy and cost effectiveness of the cloud radio access network (C-RAN). Recently, redesign of the C-RAN through functional split in the baseband processing chain has been proposed to overcome these challenges. This paper evaluates, by mathematical and simulation methods, different splits with respect to network level energy and cost efficiency having in the mind the expected quality of service. The proposed mathematical model quantifies the multiplexing gains and the trade-offs between centralization and decentralization concerning the cost of the pool, fronthaul network capacity and resource utilization. The event-based simulation captures the influence of the traffic load dynamics and traffic type variation on designing an efficient fronthaul network. Based on the obtained results, we derive a principle for fronthaul dimensioning based on the traffic profile. This principle allows for efficient radio access network with respect to multiplexing gains while achieving the expected users' quality of service.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.1
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• pp.113-121
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• 2014

To improve management performance, medical institutions have great attentions to selecting the good employee. Through job placement, recruited employee performing a given task, previous studies have lack of research, how job environment affects the individual perception of job ability and individual performance. Therefore, targeting at the health care professional employees who work in the hospital, 134 questionnaire data collected, this study performed an empirical study on the relationship between person-job fit, self-efficacy and individual performance. Specifically, mediating effect of self-efficacy between person-job fit and individual performance was verified. The results indicate that first, person-job fit appeared to affect significantly to the sub-factor of self-efficacy (self-adjustment, confidence, goal-difficulty). Second, among the self-efficacy sub-factor, self-adjustment, confidence appeared to influence to the individual performance. Third, self-adjustment was fully mediated between person-job fit and individual performance and confidence was partially mediated between person-job fit and individual performance. These findings have the theoretical implications that self-efficacy studies are expanded to environmental factors and practical implications and study's limitations are discussed in terms of hospital organization's human resource management.

• The KIPS Transactions:PartA
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• v.15A no.5
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• pp.259-268
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• 2008

Multi-Core processors have become main-stream microprocessors in recent years. Servers based on these multi-core processors are widely adopted in High Performance Computing (HPC) and commercial business applications as well. These servers provide increased level of parallelism, thus can potentially boost the performance for applications. However, the shared resources among multiple cores on the same chip can become hot spots and act as performance bottlenecks. Therefore it is essential to optimize the use of shared resources for high performance and scalability for the multi-core servers. In this paper, we conduct experimental studies to analyze the positive and negative effects of the resource sharing on the performance of HPC applications. Through the analyses we also characterize the performance of multi-core servers.

• Journal of Internet Computing and Services
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• v.10 no.4
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• pp.189-198
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• 2009

Unstructured peer-to-peer systems are most commonly used in today's internet. But file placement is random in these systems and no correlation exists between peers and their contents. There is no guarantee that flooding queries will find the desired data. In this paper, we propose to cluster nodes in unstructured P2P systems using the agglomerative hierarchical clustering algorithm to improve the search method. We compared the delay time of clustering the nodes between our proposed algorithm and the k-means clustering algorithm. We also simulated the delay time of locating data in a network topology and recorded the overhead of the system using our proposed algorithm, k-means clustering, and without clustering. Simulation results show that the delay time of our proposed algorithm is shorter compared to other methods and resource overhead is also reduced.

• Journal of Digital Convergence
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• v.18 no.4
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• pp.411-417
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• 2020

In this study, the Interactive advertising in the Outdoor Interactive Digital Signage is taken as the research object, and the effect of the advertising in the Outdoor Interactive Digital Signage compared to the traditional advertising on consumer propensity is studied. Based on the research methods of literature data and case analysis, we first researched and analyzed the impact of the development of the Internet and artificial intelligence on Interactive Digital Signage advertising, combined with consumer trends and habits, according to the characteristics of Interactive Digital Signage advertising, and '199IT-Internet data Based on the data in the Resource Library, and using an example analysis method, three reasons for the impact of Interactive digital signage advertisements on consumer spending tendencies are proposed. The purpose is to provide reference for future companies to use Interactive digital signage for ad placement and help companies. Increase product sales to increase product value and customer trust in the brand.

• The Journal of the Convergence on Culture Technology
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• v.6 no.4
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• pp.203-208
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• 2020

The trade war between the United States and China has been going on for many years, and sanctions against Chinese telecommunications companies in the United States are increasingly tightening. Despite these restrictions, ZTE (Zhongxing), China's leading communication equipment company, is rather expanding its market share in the global 5th generation mobile communication (5G) market. ZTE's growth and competitiveness are based on its unique corporate culture. ZTE places great importance on R&D, has a corporate culture of humility and moderation based on traditional Chinese culture. Besides, it has the placement and use of human resources in the right place. While ZTE strives to implement people-centered management, it makes good use of internal competition. Despite ZTE's global market share and corporate competitiveness, virtually nothing has been studied in Korea. The results of this study are intended to be helpful in enhancing the competitiveness of Korea's ICT industry and companies that want to expand to the world while fostering 5G.

• Journal of Practical Engineering Education
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• v.8 no.1
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• pp.57-62
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• 2016

The purpose of this study is to provide the basic data and to construct education system by analizing the case of Japan on the lifelong vocational competency development utilizing the university. Japan has grown by the world leading technology and talented people. In a globalized world, In order to achieve economic growth, It is necessary to connect the Human resource development to the overall growth of the economy. After the law on policy implementation system for the Lifelong Learning Promotion is enacted. University of japan, the newly defined the philosophy of lifelong learning in the Fundamental Law of Education. Then, University of japan has induced people to actively participate in the lifelong vocational competency development. In this paper, we refer to the Shizuoka University in Japan and learning support program and we studied the method for the activation of improvement and field placement of the training capacity of field training using the case of Japan on the lifelong vocational competency development utilizing the university.