• Journal of Soil and Groundwater Environment
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• v.17 no.2
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• pp.1-6
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• 2012

Total Economic Value (TEV) provides a framework to estimate the economic value of water resources including groundwater with multiple applications to natural resource economics and environmental economics. Crucial to the application of economic analysis to natural resources are techniques to value the resources as an economic value that is expressed in monetary terms. On the other hand, the aim of TEV estimation is to determine the economic value of water resources including 'use' with production and recreation and 'non-use' such as existence values. TEV is used to assess the economic value of water resources for the multiple goods, and environmental 'services' that are provided by a water resource and also used to assess options for water use, for example balancing production values provided by water resource use against the cost of resource degradation by that use. The value of TEV can be assessed over time where pollution or unsustainable use may reduce the economic value of an environmental asset. Therefore, values are used to assess options of resource use, sometimes leading to policies on resource conservation or allocation. In conclusion, the application of TEV would be well adjusted over Jeju Island where groundwater resources account for more than 98% water resources and the budget of water demand/supply shows disparity over the Island.

• International Journal of Control, Automation, and Systems
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• v.6 no.3
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• pp.351-363
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• 2008

This paper is concerned with tasking and guidance of networked airborne sensors to achieve fault-tolerant sensing. The sensors are coordinated to locate hostile transmitters by intercepting and processing their signals. Faults occur when some sensor-carrying vehicles engaged in target location missions are lost. Faults effectively change the network architecture and therefore degrade the network performance. The first objective of the paper is to optimally allocate a finite number of sensors to targets to maximize the network life and availability. To that end allocation policies are solved from relevant Markov decision problems. The sensors allocated to a target must continue to adjust their trajectories until the estimate of the target location reaches a prescribed accuracy. The second objective of the paper is to establish a criterion for vehicle guidance for which fault-tolerant sensing is achieved by incorporating the knowledge of vehicle loss probability, and by allowing network reconfiguration in the event of loss of vehicles. Superior sensing performance in terms of location accuracy is demonstrated under the established criterion.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.20 no.4
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• pp.87-92
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• 2020

Although GPGPU (General-Purpose GPU) can maximize performance by parallelizing a task with tens of thousands of threads, those threads are internally grouped into a thread block, which is a base unit for processing and resource allocation. A thread block scheduler is a specialized hardware gadget whose role is to allocate thread blocks to GPGPU processing hardware in a round-robin manner. However, round-robin is a sequential allocation policy and is not optimized for GPGPU resource utilization. In this paper, we propose a thread block scheduler model which can analyze and quantify performances for various thread block scheduling policies. Experiment results from the implemented simulator of our model show that the legacy hardware thread block scheduling does not behave well when workload becomes heavy.

• Journal of Forest and Environmental Science
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• v.40 no.3
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• pp.167-179
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• 2024

Forest fire is one of the major disasters occurring in Nepal causing huge loss to the ecosystem, people and economy. They are mainly caused due to different anthropogenic activities. In Nepal, the forest fires occur during the dry season mainly from March to May. Nepal has roughly 29.5 percent forest area that are prone to forest fires and it is estimated that about 375 thousand hectares of forest were burned over one and half decade from 2000-2014. The forest fire risk is higher in the Terai and Siwalik regions than in any other region. To prevent and mitigate the forests fire incidences, the Government of Nepal has formulated and executed different policy instruments. In this regard, this paper aims to review the implementation of policies, strategies, Acts and regulations related to forest fire management at different levels of governance. Although federal and provincial governments' different policy instruments have considered forest fire and its management, these are not effectively implemented. It is not prioritized in terms of resource allocation, institutional capacity building, disaster preparedness and early warning. In addition, there are unclear and overlapping roles and responsibilities among three tiers of governments to effectively implement the policy provisions. Considering the consequences of the forest fire, governments at different levels need to devise an effective mechanism involving all stakeholders for implementing preventive and curative activities, strengthen institutions and build the capacity of human resources, and increase the level of resource allocation to implement the provisions of various legal and policy instruments.

• 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 Technology Innovation
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• v.4 no.1
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• pp.185-207
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• 1996

It is frequently pointed out that the Korean economy, with its scarce natural resources, would never have been able to achieve current levels of economic development without the massive provision of well-educated, hardworking human resources. Throughout the industrialization process ,full-fledged deployment and mobilization of qualified human resources have been the foundation to industrial policy and S&T policy. This paper describes the development of S&T human resources in Korea using various statistics including educational enrollment rates, unemployment rates, the allocation of researchers and R&D expenditures among sectors of performance, educational composition of employment within and across industries, technical human resource shortage rates, relative wage levels of SMEs, and composition of labor force by age-group and gender. While analyzing S&T human resources development, this paper discusses issues such as the mismatched demand and supply of skill and knowledge levels of the highly educated, the unbalanced distribution of S&T human resources between sectors, and the low utilization of the female and aged labor force. This paper suggests that the policy maker applies a hybrid of quantitative and qualitative policies to reduce the mismatches of supply and demand of skill and knowledge levels for each labor market categorized according to supply side.

• The KIPS Transactions:PartC
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• v.11C no.4
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• pp.429-438
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• 2004

This Paper Presents the control structure for incoming traffic from arbitrary node to Provide admission control in policy-based W network management structure using fuzzy logic control approach. The proposed control structure uses scheme for deciding network resource allocation depending on requirements predefined-policies and network states. The proposed scheme enhances policy adapting methods of existing binary methods, and can use resource of network more effectively to provide adaptive admission control, according to the unpredictable network states for predefined QoS policies. Simulation results show that the proposed controller improves the ratio of packet rejection up to 26%, because it Performs the soft adaption based on the network states instead of accept/reject action in conventional CAC(Connection Admission Controller).

• Genomics & Informatics
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• v.19 no.1
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• pp.11.1-11.8
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• 2021

For the novel coronavirus disease 2019 (COVID-19), predictive modeling, in the literature, uses broadly susceptible exposed infected recoverd (SEIR)/SIR, agent-based, curve-fitting models. Governments and legislative bodies rely on insights from prediction models to suggest new policies and to assess the effectiveness of enforced policies. Therefore, access to accurate outbreak prediction models is essential to obtain insights into the likely spread and consequences of infectious diseases. The objective of this study is to predict the future COVID-19 situation of Korea. Here, we employed 5 models for this analysis; SEIR, local linear regression (LLR), negative binomial (NB) regression, segment Poisson, deep-learning based long short-term memory models (LSTM) and tree based gradient boosting machine (GBM). After prediction, model performance comparison was evelauated using relative mean squared errors (RMSE) for two sets of train (January 20, 2020-December 31, 2020 and January 20, 2020-January 31, 2021) and testing data (January 1, 2021-February 28, 2021 and February 1, 2021-February 28, 2021) . Except for segmented Poisson model, the other models predicted a decline in the daily confirmed cases in the country for the coming future. RMSE values' comparison showed that LLR, GBM, SEIR, NB, and LSTM respectively, performed well in the forecasting of the pandemic situation of the country. A good understanding of the epidemic dynamics would greatly enhance the control and prevention of COVID-19 and other infectious diseases. Therefore, with increasing daily confirmed cases since this year, these results could help in the pandemic response by informing decisions about planning, resource allocation, and decision concerning social distancing policies.

• The Korean Journal of Air & Space Law and Policy
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• v.27 no.1
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• pp.123-156
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• 2012

This study focuses on the satellite licenses and the requirements for satellite spectrum management (i.e. frequency allocation) in Korean satellite industry via comparative analyses against those cases in other developed countries, in order to provide complementary measures to the domestic satellite policies. The satellite industry is one of the main pursuits of a nation's efforts, and it shows distinct characteristics depending on various factors such as national defense and security. In addition, the industry is determined by the nation's market size as well as its international relationship. Consequently, the present study considers examples from various organizations and nations - including U.S.A, Japan, and ITU - and provides a hybrid policy that is well customized for the domestic market. This study looks at similarities between policies of other countries, and finds any supplements for domestic polices by specifying similar cases in others and analyzing their results. The main purpose of this study, therefore, is to find the best agreement for domestic policy with internal interpretation, rather accepting others. While the licensing method for domestic satellites need not be distinct from that of other nations, the case of using non-Korean licensed satellites must be complemented by the conditions in the domestic market. Furthermore, the spectrum management is essential to the nation's satellite industry since the spectrum is a scarce resource. As such, spectrum management that is carefully designed to incorporate the rapidly changing international market demand is crucial to provide a sufficient supply for domestic space industry. In the present study, we find that auction-like market based approaches together with measures to avoid exclusive uses of the scarce resource (e.g. share, leas and reallocation) would provide an excellent method for the domestic satellite industry.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.19 no.11
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• pp.2215-2227
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• 1994

A multicast switch, which can provide a single uniform switching function for vastly different classes of traffic, is crucial for the successful deployment of intergrated broadband networks. In this paper, we study the call blocking probability of heterogeneous circuit emulated traffic in a multicast switch. A previous work on the analysis of homogeneous traffic, where all calls have the same fan-out, show the performance showed that the call blocking probability increases rapidly as fan out increases. We study the performance of heterogeneous traffic, which consists of calls of different fan out, and show the performance gaps between larger fan-out traffic and smaller fan-out traffic are larger than those of homogeneous traffic these results indicate the necessity of efficient resource allocation policies to improve the performance of multicast calls. We conclude the paper introducing several methods to improve the performance of multicast traffic.