• Journal of the Korea Society of Computer and Information
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• v.22 no.6
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• pp.17-24
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• 2017

In recent digital broadcasting, up to 250 channels are multiplexed and transmitted. The channel transmission is made in the form of MPEG-2 Transport Stream (TS) and transmits one channel (Video, Audio). In order to check if many broadcast channels are transmitted normally, in multi-channel multi-view system, ability of real-time monitoring is required. In order to monitor efficient multi-channel, a distributed system in which functions and load are distributed should be implemented. In the past, we used an inefficient system that gave all of the functionality to a piece of hardware, which limited the channel acceptance and required a lot of resources. In this paper, we implemented a distributed multi-view system which can reduce resources and monitor them economically through efficient function and load balancing. It is able to implement efficient system by taking charge of decoding, resizing and encoding function in specific server and viewer function in separate server. Through this system, the system was stabilized, the investment cost was reduced by 19.7%, and the wall monitor area was reduced by 52.6%. Experimental results show that efficient real-time channel monitoring for multi-channel digital broadcasting is possible.

• Proceedings of the Korea Water Resources Association Conference
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• 2010.05a
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• pp.917-922
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• 2010

환경개선용수 공급을 위한 비용부담원칙은 수익자부담원칙, 오염자부담원칙 및 공공부담이 있다. 수익자부담원칙이란 공공재 혹은 공공서비스의 공급을 그 재화나 서비스로부터 혜택을 받는 주체가 부담해야 한다는 원칙이다. 수익자 부담원칙은 수익자가 아닌 자를 비용부담으로부터 제외한다는 것을 내포한다. 원인자부담원칙이란 공공사업이 필요하게 되는 원인을 제공한 자가 그 재화와 서비스의 비용을 부담해야 한다는 원칙이다. 원인자부담 원칙이 적용되는 상황은, 원인자가 특정행위나 활동을 통해 다른 경제주체에 피해를 주고 이 피해가 공공사업에 의해 상쇄될 때이다. 수자원의 개발과 이용에서 상 하류의 복수 지자체들이 서로 긴밀하게 연계되어있는 광역수계의 경우에는 환경개선용수 확보비용의 부담과 관련하여 수익자 부담원칙이나 원인자 부담원칙이 별개로 적용되기 어려운 점이 많이 있다. 환경개선용수에 대한 공공부담의 경우 공익적 측면이 강하다는 점을 전제로 한다. 국가전체적인 차원에서 환경개선용수를 사용하는 경우나 하천생태계 보호나 하천수질개선을 위해 환경개선용수를 사용하는 경우;사회적으로 필요한 환경재인 환경개선용수를 국가에서 비용을 부담하여 공급하는 것이 필요하다. 본 연구는 환경개선용수 공급에 있어 적용할 수 있는 비용부담원칙을 제시하였다.

• KIPS Transactions on Software and Data Engineering
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• v.2 no.5
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• pp.303-310
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• 2013

Agile software development methodology is a lightweight software development method, plays an important role in the software development team. In this paper, we propose programs that in when agile development co-operation, team management, team collaboration and project management tasks can be high efficiency and allocation of human resources. The proposed model, the use of 6-Sigma priority assignment, established a mathematical model of the operation and distribution of human resources is the most reasonable people go to work. Cooperation makes team-based agile development can improve efficiency. This method improve staff efficiency by teamwork to improve the productivity of software development.

• Journal of Korean Society of Water and Wastewater
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• v.25 no.1
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• pp.23-29
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• 2011

Integrated management system (IMS) for sewerage facilities has been installed at 7 dams and 9 watersheds since 2006. However, there has been no decisive plan on how and who to manage efficiently IMS after finishing the construction. Therefore, in this study, it was suggested that a new organization, so to speak, a technical support team for integrated management that may operate and manage IMS efficiently, could need to be set up. Three scenarios were evaluated depending on the type of allocating human resources to new organization considering each levels of sewerage facilities. Economic analyses on each scenarios of human resources allocation were also carried out. As a result, establishing the technical support team for integrated management was estimated to give the net benefit from 1.3 billion to 20.6 billion won for 15 years.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2009.05a
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• pp.801-804
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• 2009

In this paper, the Linux kernel memory map was analyzed as the approach to Improving performance for Embedded Linux system. Since the Linux kernel memory map supporting a stability and various H/W platforms and in which it becomes to the general purpose system with optimization manages the role of being important in the booting time and the efficient system utilization of resources, the analysis of the kernel memory map is required for the performance improvement of the Embedded Linux system in which it is restrictive the resources. According to the analysis result, and of the Linux kernel memory, the booting speed of and improvement of the memory efficiency were confirmed. It is therefore considered that the proposed in this paper and kernel memory allocation method are suitable to the memory availability improvement of the Embedded Linux system.

• Journal of the Korea Society of Computer and Information
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• v.18 no.8
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• pp.9-15
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• 2013

As the resources of cloud computing are essentially heterogeneous and jobs have various characteristics, resource allocation to jobs is one of important problems. We define this issue as a multi-criteria decision-making problem. This paper proposes a priority-based job scheduling algorithm based on analytic hierarchy process (AHP). On the first step, jobs are classified based on their preferences. On the second step, response time, system utilization, and load becomes decision criteria based on the AHP algorithm. Jobs are allocated to adequate resources through their priorities that are calculated by the AHP algorithm. Through analysis and experiment of the proposed algorithm, we are to confirm that the scheme can schedule jobs as well as utilize its resource efficiently.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.5
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• pp.667-678
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• 2021

The industrial life cycle theory was extended to the product life cycle theory and the corporate life cycle theory, but a conceptual life cycle was presented, and quantitative empirical evidence for this was insufficient. It is intended to improve appropriate resource planning and resource allocation by quantitatively predicting the industrial cycle and its position (age) in the cycle. Human resources, tangible assets, and industrial output analysis were conducted based on 28 years of actual data of 39 industries in Korea by applying the Gompertz model, which is a population ecology prediction model. By predicting with the Gompertz model, the coefficient of determination R2 value was 97% or more, confirming the high suitability with the actual cumulative sales value of the industry. A numerical model for calculating the life cycle of each industry, calculating the saturation of input resources for each industry, and diagnosing the financial stability of the industry was presented. These results will contribute to the decision-making of industrial policy officers for budget planning appropriately for each stage of industry development. Future research will apply the numerical model of this study to foreign national industries, complete an inter-industry convergence diagnostic model (e.g. ease of convergence, suitability of convergence, etc.) for renewal of fading industries.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.3
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• pp.1311-1324
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• 2019

In the traditional cellular network communication, the cellular user and the base station exchange information through the uplink channel and downlink channel. Meanwhile, device-to-device (D2D) users access the cellular network by reusing the channel resources of the cellular users. However, when cellular user channel conditions are poor, not only D2D user cannot reuse its channel resources to access the network, but also cellular user's communication needs cannot be met. To solve this problem, we introduced a novelty D2D communication mechanism in the downlink, which D2D transmitter users as half-duplex (HD) relays to assist the downlink transmission of cellular users with reusing corresponding spectrum. The optimization goal of the system is to make the cellular users in the bad channel state meet the minimum transmission rate requirement and at the same time maximize the throughput of the D2D users. In addition, i for the purpose of improving the efficiency of relay transmission, we use two-antenna architecture of D2D relay to enable receive and transmit signals at the same time. Then we optimized power of base station and D2D relay separately with consideration of backhaul interference caused by two-antenna architectures. The simulation results show that the proposed HD relay strategyis superior to existing HD and full-duplex (FD) models in the aspects of system throughput and power efficiency.

• Journal of Internet Computing and Services
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• v.23 no.5
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• pp.17-23
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• 2022

Network slicing is a promising paradigm and significant evolution for adjusting the heterogeneous services based on different requirements by placing dynamic virtual network functions (VNF) forwarding graph (VNFFG) and orchestrating service function chaining (SFC) based on criticalities of Quality of Service (QoS) classes. In system architecture, software-defined networks (SDN), network functions virtualization (NFV), and edge computing are used to provide resourceful data view, configurable virtual resources, and control interfaces for developing the modified deep reinforcement learning agent (MDRL-A). In this paper, task requests, tolerable delays, and required resources are differentiated for input state observations to identify the non-critical/critical classes, since each user equipment can execute different QoS application services. We design intelligent slicing for handing the cross-domain resource with MDRL-A in solving network problems and eliminating resource usage. The agent interacts with controllers and orchestrators to manage the flow rule installation and physical resource allocation in NFV infrastructure (NFVI) with the proposed formulation of completion time and criticality criteria. Simulation is conducted in SDN/NFV environment and capturing the QoS performances between conventional and MDRL-A approaches.

• Journal of the Korea Institute of Military Science and Technology
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• v.25 no.5
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• pp.501-512
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• 2022

The purpose of the weapon live test during the phase of development is to provide essential information to decision makers that verify and validate the performance capabilities of weapons. Due to varying allocation and high variance of test resources with an increase in the weapon system's capability, the test environment can get highly complex, which can lead to a decrease in the reliability of test results. This issue can be addressed by applying a decision support system that provides various timely information collected by resources during the test process. The decision support system can be designed by applying the concept of digital twins, that are defined as digital replicas of components, systems and processes. This paper describes a design methodology of the decision support system that consists of digital models and service functions using digital twin architecture. A case study illustrates the feasibility of the proposed methodology in supporting the weapon live test process.