• KSII Transactions on Internet and Information Systems (TIIS)
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• v.11 no.12
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• pp.5694-5711
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• 2017

The technology of cloud computing is growing very quickly, thus it is required to manage the process of resource allocation. In this paper, load balancing algorithm based on honey bee behavior (LBA_HB) is proposed. Its main goal is distribute workload of multiple network links in the way that avoid underutilization and over utilization of the resources. This can be achieved by allocating the incoming task to a virtual machine (VM) which meets two conditions; number of tasks currently processing by this VM is less than number of tasks currently processing by other VMs and the deviation of this VM processing time from average processing time of all VMs is less than a threshold value. The proposed algorithm is compared with different scheduling algorithms; honey bee, ant colony, modified throttled and round robin algorithms. The results of experiments show the efficiency of the proposed algorithm in terms of execution time, response time, makespan, standard deviation of load, and degree of imbalance.

• Journal of Korea Society of Digital Industry and Information Management
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• v.8 no.4
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• pp.159-165
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• 2012

The accurate focusing position should be determined for accurate measurements In VMS. Camera lens focusing is an important problem in computer vision and video measuring systems (VMS) that use CCD cameras and high precision XYZ stages. Camera focusing is a very important step in high precision measurement systems that use computer vision technique. The auto focusing process consists of two steps, the focus value measurement step and the exact focusing position determination step. It is suitable for eliminating high frequency noises with lower processing time and without blurring. An automatic focusing technique is applied to measure a crater with a one-dimensional search algorithm for finding the best focus. Throughout this paper, the suggested algorithm for the Auto focusing was combined with the learning. As a result, it is expected that such a combination would be expanded into the system of recognizing voices in a noisy environment.

• 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.

• Proceedings of the Korean Information Science Society Conference
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• 2003.10b
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• pp.625-627
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• 2003

본 논문에서는 정밀 측정 장비인 VMS(Video Measuring System)에서 줌을 서보 모터(servo motor)로 제어하는 자동화된 줌 렌즈 보정에 대하여 연구하였다. 이전의 자동화된 줌 렌즈의 연구들은 줌, 초점과 조리개 3 가지의 렌즈 설정에 대한 모든 카메라 파라미터들에 대하여 보정하였지만, VMS 의 자동화된 줌 렌즈의 보정은 줌의 렌즈 설정에 대해서만 보정한다. 줌 렌즈 설정에 의해 보정 되는 파라미터들은 줌에 따라 변화하는 이미지 중심과 픽셀 크기이다. 카메라의 외부 파라미터들을 제외한 이유는 VMS에서는 카메라가 움직이고 않고, 스테이지가 움직이면서 그에 따른 좌표 값을 주기 때문에 카메라의 이동과 회전에 대하여 보정할 필요가 없다. 줌을 조정하는 줌 단계가 많기 때문에 모든 줌 단계를 보정하기 위해서는 많은 시간과 노력이 든다. 본 논문에서는 보정 파라미터들을 최소 단계의 줌 렌즈 설정에 대하여 계산하고 계산되지 않은 영역들을 보간법으로 빠르고 효과적인 줌 렌즈 보정을 할 수 있는 방법을 제안하였다.

• Proceedings of the Korea Information Processing Society Conference
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• 2013.05a
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• pp.171-174
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• 2013

Virtualization technology opened a new era in the field of Data intensive, Grid and Cloud Computing. Today's Data centers are smarter than ever leveraging the Virtualization technology. In response to that, Dynamic consolidations of Virtual Machines (VMs) allow efficient resource management by live migration of VMs in the hosts. Moreover, each client typically has a service level agreement (SLA), leads to stipulation in dealing with energy-performance trade-off as aggressive consolidation may lead to performance degradation beyond the negotiation. In this paper we propose a Cloud Based CDN approach for allocation of VM that aims to maximize the client-level SLA. Our experiment result demonstrates significant enhancement of SLA at certain level.

• Journal of Internet Computing and Services
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• v.6 no.5
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• pp.57-71
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• 2005

Precise visual measurement applications, like video measuring system (VMS), use camera systems with motorized zoom lens for fast and efficient measurement. In this paper, we introduce an efficient calibration method for zoom lens of VMS controlled by servo motor. For the automated zoom lens calibration of the VMS, only zoom lens setting needs to be calibrated and parameters calibrated by zoom lens settings are image center and pixel size changed by zoom levels, The extrinsic parameters, like focus and iris, do not need to be calibrated since the parameters are usually fixed, It needs a lot of time and effort to calibrate the camera for ali the different zoom levels. In this paper, we also propose an efficient and fast zoom lens calibration method, which calculates the calibration parameters of the zoom lens settings for the minimum number of zoom levels and estimates other parameters for the uncalculated zoom levels using the interpolation of the calculated parameter values.

• Korean Journal of Community Nutrition
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• v.5 no.2
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• pp.193-200
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• 2000

This study examined the experience and intention of health food use regarding the different type of health foods among 201 middle-aged Korean men form urban areas. Based upon the results of a prestudy, health foods were classified into 4 groups including Chinese medicine(CM), toner foods(TF), vitamin or mineral supplements(VMS), and other manufactured heath food supplements(MHFS). compared with the4 case of health food experience, the similar proportion of the subjects were intended to use CM( 70%) and MHFS( 40%), yet the smaller proportion of them had the intention for TF(46%) and VMS(52%). Our subjects mainly obtained information on CM and TF from social networks, such as families, relatives, friends and neighbors and VMS and MHFS from mass media. Expected effects of health food consumption were different by the type of health food. The most positive expected effects were found in CM, followed by VMS. However, there was weak evidence for the positive effects of the TF and MHFS. Upon the consumption of health foods, our subject appeared to expect to their body energy to increased and body functions to be improved in general. Multivariate analyses indicated the importance of expected effects of health food consumption and aging symptoms as determinants of future health food use. Experience was rarely associated with intention in health food use. This study suggests that educated middle-aged Korean men may have a rational attitude toward health food use. Regarding different attitudes and behavior toward the different type of health foods, further research should consider the nature of each type of health foods. The limitations of this study are also discussed.

• Journal of KIISE:Computer Systems and Theory
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• v.35 no.5
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• pp.187-198
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• 2008

This paper develops a framework for efficient resource management within the grid service environment. Resource management is the core element of the grid service; therefore, GridRMF(Grid Resource Management Framework) is modeled and developed in order to respond to such variable characteristics of resources as accordingly as possible. GridRMF uses the participation level of grid resource as a basis of its hierarchical management. This hierarchical management divides managing domains into two parts: VMS(Virtual Organization Management System) for virtual organization management and RMS(Resource Management System) for metadata management. VMS mediates resources according to optimal virtual organization selection mechanism, and responds to malfunctions of the virtual organization by LRM(Local Resource Manager) automatic recovery mechanism. RMS, on the other hand, responds to load balance and fault by applying resource status monitoring information into adaptive performance-based task allocation algorithm.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2009.05a
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• pp.635-638
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• 2009

ENC Optimizer S/W was developed for light weight, ENC speed improvement, nested data, and optimization of the data module. ENC optimizer customize based on Korea Ocean's ENC data by Investigators of the National Marine.Based on the modification of K-Map ENC through enhancemen to fENC Web OCX module and ENC Optimizier, AIS service by WebWM Shad been developed. WebVMS make it possible to view the ship information anywherevia WebBrowser. Later, through the expansion of the surveillance ship WebVMS the past, information about access, satellite communications, tracking and monitoring are currently used invarious applications such as shipping informationis available.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.40 no.1
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• pp.61-69
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• 2015

Through Virtual Machine technology(VM), VMs can be packed into much fewer number of physical servers than that of VMs. Since even an idle physical server wastes more than 60% of max power consumption, it has been considered as one of energy saving technologies to minimize the number of physical servers by using the knapsack problem solution based on the computing resources. However, this paper shows that this tightly packed consolidation may not achieve the efficient energy saving. Instead, a service pattern-based VM consolidation algorithm is proposed. The proposed algorithm takes the service time of each VM into account, and consolidates VMs to physical servers in the way to minimize energy consumption. The comprehensive simulation results show that the proposed algorithm gains more than 30% power saving.