• Korea Petroleum Association Journal
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• no.4 s.194
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• pp.44-48
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• 1997

올해 들어 석유 공급이 증가함에 따라 지난해 원유가격을 상승시킨 수급구조의 건조세는 상당히 완화될 전망이다. 1996년의 세계 석유제품 수요는 예상보다 빠르게 그리고 OPEC이외의 생산국들의 공급보다 훨씬 빠르게 증가했다. 이것은 OPEC 석유에 대한 수요증가와 원유가격의 상승을 가져왔다. 지난해 말 ,세계 원유의 수출가격은 지난해 초보다 25%이상이나 상승했다. 그러나 1997년에 시장상황은 바뀔 것이다. 세계의 경제성장은 에너지와 석유에 대한 수요를 증가시키는 반면, 非OPEC의 석유공급은 더욱 증가할 것이다. 북해와 라틴아메리카의 생산증가는 非OPEC의 생산을 190만 b/d이상 증가시킬 것이다.1996년 생산이익으로부터 거둬들인 재정수입은 탐사와 생산에 추가투자를 가증하게 해 줄 것이다. 非OPEC의 공급증가는 OPEC석유에 대한 수요를 줄일 것이다. UN의 승인하에 1996년말에 재개된 이라크의 석유수출은 OPEC회원국들에게 가격하락을 막고 시장의 균형을 위하여 생산량을 감축하도록 요구할 것이다. 가격은 아마 북반구의 성수기의 높은 가격수준에서 수요저하로 인해 하락할 것이다. 한편 구소련의 석유생산과 소비는 안정적이었다. 국제 에너지기구(IEA)는 구소련의 수요는 올해 감소를 멈추고 1996년의 450만 b/d 수준에 머무를 것으로 보고 있다. IEA는 또한 구소련의 석유생산이 20만 b/d증가하여 한해 평균 720만 b/d로 예상하고 있다.

• Journal of Korea Water Resources Association
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• v.45 no.12
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• pp.1201-1211
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• 2012

This paper constructed the single country sequential dynamic CGE model to analyze the economic impacts of subsidizing water industry under the GHG emission abatement policy in Korea. We introduced the carbon tax to reduce the GHG emission and made two scenarios. One is to transfer the total tax revenue to household. The other is to mix the tax transfer and water industry support. Our Simulation results show that the macroeconomic effects might be positive by subsidizing water industry compared with the pure tax transfer. However, the support of water industry doesn't contribute to head for the non-energy intensive economy because it's economic activity highly depend on fossil energy and energy intensive products as intermediate demand. This means that it is important to make efforts on the cost effective measures such as energy technology progress, alternative energy development, and energy efficiency improvement in water industry against climate change policy.

• Journal of the Korea Society for Simulation
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• v.19 no.2
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• pp.119-125
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• 2010

In ad-hoc networks, dynamically reconfigurable and temporary wireless networks, all mobile devices cooperatively maintain network connectivity with no assistance of base stations while they have limited amounts of energy that is used in different rates depending on the power level. Since every node has to perform the functions of a router, if some nodes die early due to lack of energy, it will not be possible for other nodes to communicate with each other and network lifetime will be shortened. Consequently, it is very important to develop a technique to efficiently consume the limited amounts of energy resources so that the network lifetime is maximized. In this paper, geographical localized routing is proposed to help making smarter routing decision using only local information and reduce the routing overhead. The proposed localized routing algorithm selects energy-aware neighbors considering the transmission energy and error rate over the wireless link, and the residual energy of the node, which enables nodes to achieve balanced energy-consumption and the network lifetime to prolong.

• Environmental and Resource Economics Review
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• v.31 no.3
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• pp.367-391
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• 2022

We develop an energy-economy Bayesian DSGE model with the two sectors of electricity generations-traditional (fossil, nuclear) and renewable energy. Under imperfect substitutability between the two sectors, a technological shock on renewable energy sectors does not sufficient to facilitate energy conversion and reduce greenhouse gas emissions. Technology innovation on greenhouse gas emission reduction is also required. More importantly, sufficient investment should be derived by a well-functioning electricity market where electricity price plays a signal role in efficient allocation of resources. Indeed, market rigidities cause reduced consumption.

• Journal of the Korea Society for Simulation
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• v.20 no.4
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• pp.31-40
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• 2011

Sensor nodes are easily exposed to malicious attackers by physical attacks. The attacker can generate various attacks using compromised nodes in a sensor network. The false report generating application layers injects the network by the compromised node. If a base station has the injected false report, a false alarm also occurs and unnecessary energy of the node is used. In order to defend the attack, a statistical en-route filtering method is proposed to filter the false report that goes to the base station as soon as possible. A path renewal method, which improves the method, is proposed to maintain a detection ability of the statistical en-route filtering method and to consume balanced energy of the node. In this paper, we proposed the secure path cycle method to consume effective energy for a path renewal. To select the secure path cycle, the base station determines through hop counts and the quantity of report transmission by an evaluation function. In addition, three methods, which are statistical en-route filter, path selection method, and path renewal method, are evaluated with our proposed method for efficient energy use. Therefore, the proposed method keeps the secure path and makes the efficiency of energy consumption high.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.11 no.5
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• pp.889-896
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• 2007

Advances in wireless networking, micro-fabrication and integration, and embedded microprocessors have enabled a new generation of massive-scale sensor networks. Because each sensor node is limited in size and capacity, it is very important to design a new simple and energy efficient protocol. Among conventional sensor networks' routing protocols, the directed diffusion scheme is widely blown because of its simplicity. This scheme, however, has a defect in that sending interest and exploratory data messages while setting connection paths consumes much energy because of its flooding scheme. Therefore, this paper proposes a new sensor network routing protocol, called sequenced directed diffusion with a threshold control, which compromises the conventional directed diffusion scheme's defect and offers an energy efficient routing idea. With a computer simulation, its performance is evaluated and compared to the conventional directed diffusion scheme. Numerical results show that the proposed scheme offers energy efficiency while routing packets, and resolves ill-balanced energy consumption among sensor nodes.

• The Journal of Korean Physical Therapy
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• v.9 no.1
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• pp.177-184
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• 1997

1. The human body is the unification related to the powerful fascial network, I think. 2. Myofascial not only prevent and support the human body structure curdling but also keep the physical balance by dispersing traumatization properly. 3. Myofascial restriction will be developed into muscle deficiency and cause pains without releasing the muscle tension and the spasm. 4. Myofascial restriction affect and change the physical posture by losing the muscle elasticity and flexibility and by losing muscle supporting ability from gravitation. 5. The partial myofascial restriction affect the muscle and the adjoining joint supporting gravitation and cause the unbalance of the entire body.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.7
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• pp.1561-1567
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• 2015

Nodes of Mobile ad-hoc network usually use the energy-limited battery. Balanced energy consumptionis important to maintain path's stability. In this paper, we focus on improving the stability of the routing path in mobile ad-hoc networks. For that purpose, we propose a new routing protocol to find the highest minimum node residual energy path among shortest paths. The largest path of minimum value of the remain energy has a longer life than other paths to improve the reliability to data-transmission. Using ns-3 simulator, we show that the proposed routing protocol can provide more long-life stable routing path than AODV and EA-AODV.

• KIPS Transactions on Computer and Communication Systems
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• v.10 no.10
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• pp.269-276
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• 2021

Recently, smart sensors are used in various environments, and the implementation of ad-hoc sensor networks (ASNs) is a hot research topic. Unfortunately, traditional sensor network routing algorithms focus on specific control issues, and they can't be directly applied to the ASN operation. In this paper, we propose a new routing protocol by using the Q-learning technology, Main challenge of proposed approach is to extend the life of ASNs through efficient energy allocation while obtaining the balanced system performance. The proposed method enhances the Q-learning effect by considering various environmental factors. When a transmission fails, node penalty is accumulated to increase the successful communication probability. Especially, each node stores the Q value of the adjacent node in its own Q table. Every time a data transfer is executed, the Q values are updated and accumulated to learn to select the optimal routing route. Simulation results confirm that the proposed method can choose an energy-efficient routing path, and gets an excellent network performance compared with the existing ASN routing protocols.

• Journal of Korea Technology Innovation Society
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• v.14 no.4
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• pp.965-982
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• 2011

Currently, dependency of natural and energy resources on world economy may not be more serious than any before increasing the uncertainty of Korea's national economy, especially as China uses unexpectedly fast glowing portion of world resources. Due to insufficient natural resources and unmatured renewable energy system, it is very important for Korea to secure the energy sources not only for national prosperity but also security for the future. In this regard, importance and necessity of nuclear energy as a major electric power source in Korea are in need to be emphasized. Korea currently imports all the necessary enriched uranium for fabrication of nuclear fuel from abroad. Thus, it is extremely important to establish a secured supply system for enriched uranium regardless of the global political unstability as well as economic fluctuation. In order to build the nuclear fuel procurement system, it is required to analyze the global market status, current enrichment service systems, and the future technology under development. For this purpose, this study comparatively analyzes the laser based advanced technology for uranium enrichment under development in the United States, which is assumed to be 2~3 times more economically viable than currently available technologies.