• 한국IT서비스학회:학술대회논문집
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• 2003.05a
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• pp.577-583
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• 2003

Due to the widespread availability of the internet, large-scale and dynamic distributed projects in industry are becoming popular. We present a distributed, collaborative, and adaptive control approach for decentralized multiple projects, which is one of representative project environments in modern e-enterprises. In this paper we deal with short term scheduling and rescheduling of resources, which are shared by multiple projects. We in specific, address the dynamic nature of the situation. We model this as a dynamic economy, where the multiple local markets are established and cleared over time trading resource time slots(goods). Local markets are modeled using a combinatorial auction mechanism. Due to the dynamic and distributed nature of economy, through our approach we can achieve higher levels of flexibility, scalability and adaptability.

• Korean Journal of Computational Design and Engineering
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• v.8 no.2
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• pp.101-108
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• 2003

Presented in this paper is the development of an product cost estimation system at the product design stage. The efficient cost estimation function at the design stage is essential for the cost reduction activities through the entire product life cycle. For this purpose, it is necessary to establish a systematic working procedure, and to develop information system for managing a great deal of production and product-related data required for the cost estimation. The developed system has the capability of estimating a cost of assembly type products as well as unit-item type products. As proposed system is based on the variant approach, it can be used easily at an early design stage without the need for detail design information. Also, this system is integrated with legacy PDM (Product Data Management) and ERP (Enterprise Resource Planning) system for fast. accurate and easy product cost estimation. The estimated cost includes material cost, overhead cost as well as labor cost.

• KEPCO Journal on Electric Power and Energy
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• v.4 no.1
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• pp.1-7
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• 2018

Objective signs are everywhere that the stationary energy storage market is growing up quickly. The use of distributed resources such as solar photovoltaics and electric vehicles are expanding at a rapid pace, creating technical challenges for the distribution system that will require energy storage and a new generation of software to address. This paper is intended for distribution utility managers and executives and makes the following points: ${\bullet}$ Utility-integrated (as opposed to merely grid-connected) energy storage projects represent a distinct, new wave of industry growth that is just getting underway and is required to manage distributed energy resources moving forward. ${\bullet}$ Utilities and the energy storage industry have important roles to lower risk in adopting this technology - thereby enabling this wave of growth. ${\circ}$ The industry must focus on engineering energy storage for adoption at scale - including the creation and support of software open standards -both to drive down costs and to limit technology and supplier risk for utilities. ${\circ}$ Utilities need to take a program-based, rather than a project- based, approach to this resource to best balance cost and risk as they procure and implement energy storage. By working together to drive down costs and manage risk, utilities and their suppliers can lay the energy storage foundation for a new, more digital distributed electricity system.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.14 no.4
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• pp.1837-1860
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• 2020

We propose a general framework for studying resource allocation problem and the tradeoff between spectral efficiency (SE) and energy efficiency (EE) for downlink traffic in power domain-non-orthogonal multiple access (PD-NOMA) and device to device (D2D) based heterogeneous cloud radio access networks (H-CRANs) under imperfect channel state information (CSI). The aim is jointly optimize radio remote head (RRH) selection, spectrum allocation and power control, which is formulated as a multi-objective optimization (MOO) problem that can be solved with weighted Tchebycheff method. We propose a low-complexity algorithm to solve user association, spectrum allocation and power coordination separately. We first compute the CSI for RRHs. Then we study allocating the cell users (CUs) and D2D groups to different subchannels by constructing a bipartite graph and Hungrarian algorithm. To solve the power control and EE-SE tradeoff problems, we decompose the target function into two subproblems. Then, we utilize successive convex program approach to lower the computational complexity. Moreover, we use Lagrangian method and KKT conditions to find the global optimum with low complexity, and get a fast convergence by subgradient method. Numerical simulation results demonstrate that by using PD-NOMA technique and H-CRAN with D2D communications, the system gets good EE-SE tradeoff performance.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.30 no.11B
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• pp.784-791
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• 2005

To provide VoD Service on the Internet VoD server is required to have a large amount of system resource and network bandwidth. Therefore, overlay Multicast schemes are considered as suitable alternatives but they also have some drawbacks to support on-demand media services. In this paper, we propose an overlay multicast based on-demand media service scheme which could exploit server's system resource and its network bandwidth efficiently. Proposed scheme uses shared buffer of clients involving the relay of traffic and Patching while it gives no restrictions to this scheme compared with unicast. Our simulation results show that proposed scheme can support more user than unicast and improve the network performance at the same time.

• Proceedings of the KIEE Conference
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• 2004.07d
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• pp.2668-2670
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• 2004

This paper presents an advanced load control method in Direct Load Control(DLC) system. It is important to aggregate a various demand side resource which is surely controllable at the peak power time for a successful DLC system. Because the DLC system use simple On/Off control that may cause a harmful effect on a plant to reduce a peak power load, there are some restriction on deriving a voluntary participation of demand side resource. So it needs a new approach to direct load control method, and this paper describes an advanced load control method using control logic which is based on load properties. This method is easy to take account of a various characteristic of load, it can be use as a dynamic control logic which is good for adaptive control. The suggested control logic method is verified by modeling a control logic for a turbo refrigerator which affects on peak power in summer season.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.5
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• pp.103-110
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• 2020

This study analyzes the strategy of determining economic development planning on SME improvement in Indonesia. A qualitative approach was conducted through interview questionnaires with twenty respondents, including sixteen Regional Apparatus Work Unit, Fisheries and Marine Office lecturers, subdistrict heads, and development observers. The method used is Analytical Hierarchy Process (AHP). AHP prioritizes criteria and sub-criteria to increase economic growth, reduce poverty, and increase community participation, while indicating the sub-criteria to optimize resource potential, strengthen micro-economy, develop tourism potential, utilize fishery potential and cultivation, and improve institutional performance. The AHP weighting results based on competitiveness and regional development of Bantaeng Regency is the priority in policy-making for a solution. The research shows that the government strategy, based on the perception of the stakeholders, is: optimizing resources strategy with priority to maximize the resource-carrying capacity that includes agriculture and farm, tourism development potential strategy, self-reliance of community groups and coaching and management. Strategies to strengthen micro economy include: industrial control, SMEs, community cooperatives and infrastructure improvements, strategies to improve institutional performance work capacity and work ethic, and strategies to utilize fisheries and cultivation potential technological development, provision of processed industries of fishery products, and improvement of the quality of the environment.

• Computers and Concrete
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• v.21 no.6
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• pp.697-703
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• 2018

Compressive strength is one of the most important engineering properties of concrete, and testing of the compressive strength of concrete specimens is often costly and time consuming. In order to provide the time for concrete form removal, re-shoring to slab, project scheduling and quality control, it is necessary to predict the concrete strength based upon the early strength data. However, concrete compressive strength is affected by many factors, such as quality of raw materials, water cement ratio, ratio of fine aggregate to coarse aggregate, age of concrete, compaction of concrete, temperature, relative humidity and curing of concrete. The concrete compressive strength is a quite nonlinear function that changes depend on the materials used in the concrete and the time. This paper presents an adaptive neuro-fuzzy inference system (ANFIS) for the prediction of concrete compressive strength. The training of fuzzy system was performed by a hybrid method of gradient descent method and least squares algorithm, and the subtractive clustering algorithm (SCA) was utilized for optimizing the number of fuzzy rules. Experimental data on concrete compressive strength in the literature were used to validate and evaluate the performance of the proposed ANFIS model. Further, predictions from three models (the back propagation neural network model, the statistics model, and the ANFIS model) were compared with the experimental data. The results show that the proposed ANFIS model is a feasible, efficient, and accurate tool for predicting the concrete compressive strength.

• Journal of Information Technology Applications and Management
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• v.11 no.3
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• pp.1-21
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• 2004

To meet the needs of the information age, the Korean government has placed a high priority in building the IT -capable workforce. Though a sizable financial resource was committed in implementing the policy, its effectiveness was not examined yet. The policy for the workforce development should be assessed continuously so that any misdirections are detected and redressed. The present study addresses four potential problems that would not allow the government to switch from a quantity-based policy to a quality-based policy. These are ① Korean universities' labor supply chain. ② moral hazard problems. ③ financial capacity of students, ④ horizontal policy orientation. The paper also proposes solutions to the mentioned problems. The government should foster an environment in which provide the concerned parties(universities. private institutions. students. etc,) with incentives to participate actively and promote the market principle of labor supply and demand. Such an ex-ante approach is believed to improve the system's efficiency compared to the extant approach based on ex-post KPI figures. If the four issues are not redressed. the market failure is likely to occur. The government should not make direct involvement in developing manpower, but rather be a linchpin to pull all concerned parties together. By doing so. the government should be able to fill the gap among parties in the system. One government role would be like defining workforce categories and promoting their career paths. Such role will also trigger universities and private institutions to pursue differential strategies along the supply chain of a particular workforce type.

• Proceedings of the Korea Society for Industrial Systems Conference
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• 2002.06a
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• pp.89-96
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• 2002

In this paper, we present the functional architecture for the traffic engineering capable policy based network management system. In this paper, we also examine the traditional approach to network management, contrast it with the policy based approach. The architecture includes the traffic engineering facilities, especially MPLS traffic engineering functions, to provide maximum network resource utilization. The policy server should communicate with the traffic engineering server and network manager to enforce the network policy efficiently. The interfaces and interworking methods are described in this paper.