• Proceedings of the Korean Institute of Building Construction Conference
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• 2012.05a
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• pp.291-293
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• 2012

Recently, environmental pollution and global warming and greenhouse gases are increasing, because Efforts to improve are continued throughout the world. As part of the resource recycling industry has become an important research area. In the field of waterproofing industry, focus on the resource recycling is growing, due to serious resource depletion and sharp price. Therefore, in this research on the resource recycling such as reclaimed rubber and rubber waste is enable and these eco-friendly materials are applied high adhesive flexible non-exposed type self adhesion compound waterproofing material was measured eco-friendly performance and field application was evaluated.

• Proceedings of the Korean Society of Plant Pathology Conference
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• 2000.10a
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• pp.38.2-38
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• 2000

• Korean System Dynamics Review
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• v.7 no.1
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• pp.67-90
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• 2006

A series of system dynamics model was developed for forecasting demand and supply of human resource in the electricity industry. To forecast demand of human resource in the electric power industry, BLS (Bureau of Labor Statistics) methodology was used. To forecast supply of human resource in the electric power industry, forecasting on the population of our country and the number of students in the department of electrical engineering were performed. After performing computer simulation with developed system dynamics model, it is discovered that the shortage of human resource in the electric power industry will be 3,000 persons per year from 2006 to 2015, and more than a double of current budget is required to overcome this shortage of human resource.

• Journal of Family Resource Management and Policy Review
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• v.13 no.1
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• pp.23-39
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• 2009

This study was an attempt to examine the basic scheme required for the job analysis of healthy family-center workers in the context of human resource management. For this purpose, factors including frequency, importance, priority, and difficulty were examined. The job classification and concrete job activities were extracted from the interviews of eight healthy family-center workers, and these factors were then analyzed from the recordings. From the results of this study, 28 job tasks were collected and the four job types were classified. The results can be used for job analysis and human resource development (HRD). This study suggests that various methods should be used for job analysis and that a large number of samples should be utilized for the further studies.

• Journal of information and communication convergence engineering
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• v.2 no.2
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• pp.128-131
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• 2004

We suggest resource authorization system based on RBAC admitting someone to access resources. In existing grid environment, The authorization mechanism on user's resource is to give users an authority on the basis of DN(Distinguished Name) of proxy certificate and map file mapped in local system ID by one-to-one. In this case, it is difficulty in resource management such as each accounting management, memory resource, and disk resource, if the number of users, who want to use them is increased. To solve this problem, we specify the role of user's task in extension fields of his proxy certificate instead of the authorization mechanism of user's ID and propose resource authorization system being able to access his resource.

• 한국약용작물학회:학술대회논문집
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• 2012.05a
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• pp.325-326
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• 2012

• Proceedings of the Korean Society of Life Science Conference
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• 2000.09a
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• pp.67-67
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• 2000

• The Korean Journal of Mycology
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• v.47 no.3
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• pp.209-218
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• 2019

During a survey of fungal diversity in Korea, two fungal strains, KNU17-1 and KNU17-199, were isolated from paddy field soil in Yangpyeong and Sancheong, respectively, in Korea. These fungal isolates were analyzed based on their morphological characteristics and the molecular phylogenetic analysis of the internal transcribed spacer (ITS) rDNA sequences. On the basis of their morphology and phylogeny, KNU17-1 and KNU17-199 isolates were identified as Albifimbria verrucaria and Deconica coprophila, respectively. To the best of our knowledge, A. verrucaria and D. coprophila have not yet been reported in Korea. Thus, this is the first report of these species in Korea.

• Journal of Information Processing Systems
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• v.15 no.5
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• pp.1192-1200
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• 2019

Recently, artificial intelligence techniques have been widely used in the computer science field, such as the Internet of Things, big data, cloud computing, and mobile computing. In particular, resource management is of utmost importance for maintaining the quality of services, service-level agreements, and the availability of the system. In this paper, we review and analyze various ways to meet the requirements of cloud resource management based on artificial intelligence. We divide cloud resource management techniques based on artificial intelligence into three categories: fog computing systems, edge-cloud systems, and intelligent cloud computing systems. The aim of the paper is to propose an intelligent resource management scheme that manages mobile resources by monitoring devices' statuses and predicting their future stability based on one of the artificial intelligence techniques. We explore how our proposed resource management scheme can be extended to various cloud-based systems.

• International Journal of Computer Science & Network Security
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• v.22 no.3
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• pp.95-100
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• 2022

Cloud computing platform is a shared pool of resources and services with various kind of models delivered to the customers through the Internet. The methods include an on-demand dynamically-scalable form charged using a pay-per-use model. The main problem with this model is the allocation of resource in dynamic. In this paper, we have proposed a mechanism to optimize the resource provisioning task by reducing the job completion time while, minimizing the associated cost. We present the Cooperative Agents Dynamic Resource Allocation and Monitoring in Cloud Computing CADRAM system, which includes more than one agent in order to manage and observe resource provided by the service provider while considering the Clients' quality of service (QoS) requirements as defined in the service-level agreement (SLA). Moreover, CADRAM contains a new Virtual Machine (VM) selection algorithm called the Node Failure Discovery (NFD) algorithm. The performance of the CADRAM system is evaluated using the CloudSim tool. The results illustrated that CADRAM system increases resource utilization and decreases power consumption while avoiding SLA violations.