• Journal of Information Processing Systems
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• v.19 no.4
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• pp.439-449
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• 2023

This paper deals with a resource efficient artificial intelligence (AI) service architecture for multi-channel video streams. As an AI service, we consider the object detection model, which is the most representative for video applications. Since most object detection models are basically designed for a single channel video stream, the utilization of the additional resource for multi-channel video stream processing is inevitable. Therefore, we propose a resource efficient AI service framework, which can be associated with various AI service models. Our framework is designed based on the modular architecture, which consists of adaptive frame control (AFC) Manager, multiplexer (MUX), adaptive channel selector (ACS), and YOLO interface units. In order to run only a single YOLO process without regard to the number of channels, we propose a novel approach efficiently dealing with multi-channel input streams. Through the experiment, it is shown that the framework is capable of performing object detection service with minimum resource utilization even in the circumstance of multi-channel streams. In addition, each service can be guaranteed within a deadline.

• Korean Journal of Pharmacognosy
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• v.49 no.1
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• pp.47-54
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• 2018

Astilbe rubra (AR) is a perennial, belongs to the Saxifragaceae family, it contains tannin and triterpene. AR has been used in republic korea to improve toxication, fever, pain and convulsion. Recently, number of natural products have been analyzed for potential pharmacological activities including anti-cancer, anti-obesity and anti-diabetic medication. Consequently, we investigated the growth inhibition effect of Astilbe rubra water extract (WAC), ethanol extract (EAC) and bergenin on Hela cell (human adenocarcinoma cell). From whole plant of A. rubra, bergenin was isolated by column chromatography and its structures were identified by $^1H$, $^{13}C$ NMR and IT TOF-ESI MS. High extraction efficiency of bergenin was shown at 0.95% under 60 min reflux extraction with 50% MeOH. The MTS assay showed that EAC (ethanol extract) treatment increased cell death in a dose-dependent manner. Moreover, EAC treatment on Hela cell increased apoptotic cell death and caspase-3 activity. Results suggest that EAC has growth inhibition effect on Hela cells, but not WAC and bergenin. $500{\mu}g/mL$ EAC treatment inhibited Hela cell at $60.2{\pm}1.5%$.

• The KIPS Transactions:PartA
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• v.19A no.3
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• pp.161-168
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• 2012

The study of Cloud based system is emerging to become the core technology in IT field due to the tremendous growth of Cloud Computing. Researches to deliver applications to Thin-Client based mobile virtual machine and Desktop as a Service(DaaS) using Cloud Computing are conducted actively. In this paper, we propose a Cloud system to run the mobile application in the mobile Thin-Client device and resource allocation mechanism Dynamic Resource Allocation Manager for Mobile Application(DRAMMA). Thus, through performance check, we show DRAMMA has improved the utilization of Cloud system, less migration of virtual machines and decreased the error rate of resource allocation. Also our proposed system delivers service more efficiently than the previous resource allocation algorithm.

• Journal of the Korea Society of Computer and Information
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• v.26 no.2
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• pp.79-88
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• 2021

In this paper, we propose a API Gateway technique for the expansion of human resource management module, one of the ERP functions. The institution has introduced ERP (Enterprise Resource Planning) based on its efforts to transform all human and physical resources into business competitiveness and its response to the digital knowledge informatization environment, and listed it as multiple success factors. Human resource management is one of the factors that have been dealt with. However, ERP's Human Resources Management Module remains in the role of functional personnel management. How to utilize human resources begins with navigating and recognizing human resources. The proposed API Gateway technique leverages blockchain networks to design and implement APIs for human resource sharing and navigation, including the possibility of extending ERP's human resource management module. Secondly, it was designed and implemented using a smart contract that behaves like an API for preventing information forgery. The proposed method will not only be used as a tool that can actively utilize human resources, but will also be a complete resource for utilizing big data technology.

• Geomechanics and Engineering
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• v.17 no.4
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• pp.355-365
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• 2019

It is normal to observe the presence of numerous cracks in coal body. And it has significantly effective on the mechanical characteristics and realistic failure models of coal mass. Therefore, this paper is to investigate the influence of crack parameters on coal body by comprehensive using theoretical analysis, laboratory experiments and numerical simulation through prepared briquette specimens. Different from intact coal body possessing single peak in stress-strain curve, other specimens with crack angle can be illustrated to own double peaks. Moreover, the unconfined compressive strength (UCS) of specimens decreases and follow by increasing with the increase of crack angle. It seems to like a parabolic shape with an upward opening. And it can be demonstrated that the minimum UCS is obtained in crack angle $45^{\circ}$. In terms of failure types, it is interesting to note that there is a changing trend from tensile failure to tensile-shear mixing failure with tension dominant follow by shear dominant with the increase of crack angle. However, the changing characteristics of UCS and failure forms can be explained by elastic-plastic and fracture mechanics. Lastly, the results of numerical simulations are good consistent with the experimental results. It provides experimental and theoretical foundations to reveal fracture mechanism of coal body with non-penetrating single crack further.

• Journal of Family Resource Management and Policy Review
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• v.18 no.2
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• pp.55-73
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• 2014

The purpose of this study is to examine the level of conspicuous consumption and resource-saving behavior in primary school students, and to discover the factors that influence these behaviors most strongly. The research was conducted in 2011 using a written questionnaires that were completed by 500 primary school students residing in Seoul, South Korea. The data was analyzed using statistical methods, including frequency, percentiles, means, standard deviation, Cronbach's coefficient, ANOVA, and hierarchical multiple linear regression analysis, using SPSS 18.0. As a result of these analyses, the average level of conspicuous consumption was found to be 2.65 relatively rational score. Next, it was shown that the conspicuous consumption of respondents differed significantly based on variables, such as allowances, family income, socialization process in childhood, family cohesion, and parental child rearing method. Finally, the greatest influences on respondent's resource-saving behavior was seen to be the child's socialization process in childhood, family cohesion, parental child rearing method, and conspicuous consumption. These variables must therefore all be considered when teaching primary school students and encouraging them to assume rational resource-saving habits in their daily lives.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.12 no.11
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• pp.5234-5251
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• 2018

It is well-known that virtualization technology can bring many benefits not only to users but also to service providers. From the view of system security and resource utility, higher resource sharing degree and higher system reliability can be obtained by the introduction of virtualization technology in distributed cloud. The small size time-sharing multiplexing technology which is based on virtual machine in distributed cloud platform can enhance the resource utilization effectively by server consolidation. In this paper, the concept of memory block and user satisfaction is redefined combined with user requirements. According to the unbalanced memory resource states and user preference requirements in multi-virtual machine environments, a model of proper memory resource allocation is proposed combined with memory block and user satisfaction, and at the same time a memory optimization allocation algorithm is proposed which is based on virtual memory block, makespan and user satisfaction under the premise of an orderly physical nodes states also. In the algorithm, a memory optimal problem can be transformed into a resource workload balance problem. All the virtual machine tasks are simulated in Cloudsim platform. And the experimental results show that the problem of virtual machine memory resource allocation can be solved flexibly and efficiently.

• Journal of Korea Multimedia Society
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• v.10 no.9
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• pp.1153-1164
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• 2007

One of the most challenging technical issues in mobile communication for multimedia is Quality of Service (QoS) management of handover calls. This paper proposes a 2-level handover control system to copy with this problem. A 2-level handover control system consists of resource reservation and call admission control modules. The resource reservation module divides the network resource into Hard and Soft reserved resource. The Hard reserved resource is only for the handover calls while the Soft reserved resource is for both the handovers and the new calls. And also, the resource reservation module classifies handovers into primary and secondary handovers based on often they occur. The call admission control module deals with the primary and secondary handover calls in different ways. The new calls can use Soft reserved resource only if there is sufficient amount available in the Hard reserved resource. Proposed system is evaluated using an M/M/c/c queueing model. It is shown that proposed system allows more efficient utilization of network resource without degrading QoS comparing with the legacy handover control systems.

• Journal of Korea Society of Industrial Information Systems
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• v.23 no.3
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• pp.73-86
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• 2018

An analysis of Airbnb and Kozaza will show how valuable and rare resource can have an impact on company performances. Airbnb applied the sharing economy platform, and this business model had disrupted the hospitality industry. Thus, this paper will investigate a Korean company called Kozaza which had benchmarked Airbnb. Furthermore, it will apply the theory of VRIO framework, which consists of how valuable, rare, costly to imitate (imitability), and organization (exploited by the organization) to find competitiveness of Kozaza in the hospitality industry. Thus, it will attempt to show that Kozaza's business model of utilizing the unused resource of Hanok (traditional Korean house) and partnerships with Hanokstay, Seoul Metropolitan Government and Soul Tourism Organization and others have enhanced their resource and capability to strengthen their business model. Furthermore, this research will explore how Kozaza can competitively be successful in the future.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.7 no.8
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• pp.1825-1842
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• 2013

Rapid growth of the IT industry has led to significant energy consumption in the last decade. Data centers swallow an enormous amount of electrical energy and have high operating costs and carbon dioxide excretions. In response to this, the dynamic consolidation of virtual machines (VMs) allows for efficient resource management and reduces power consumption through the live migration of VMs in the hosts. Moreover, each client typically has a service level agreement (SLA), this leads to stipulations in dealing with energy-performance trade-offs, as aggressive consolidation may lead to performance degradation beyond the negotiation. In this paper we propose a heuristic based resource allocation of VM selection and a VM allocation approach that aims to minimize the total energy consumption and operating costs while meeting the client-level SLA. Our experiment results demonstrate significant enhancements in cloud providers' profit and energy savings while improving the SLA at a certain level.