• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.12
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• pp.4364-4384
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• 2021

The dynamic network state and the mobility of the terminals make the service function chain (SFC) orchestration mechanisms based on static and deterministic assumptions hard to be applied in SDN/NFV mobile edge computing networks. Designing dynamic and online SFC orchestration mechanism can greatly improve the execution efficiency of compute-intensive and resource-hungry applications in mobile edge computing networks. In order to increase the overall profit of service provider and reduce the resource cost, the system running time is divided into a sequence of time slots and a dynamic orchestration scheme based on an improved column generation algorithm is proposed in each slot. Firstly, the SFC dynamic orchestration problem is formulated as an integer linear programming (ILP) model based on layered graph. Then, in order to reduce the computation costs, a column generation model is used to simplify the ILP model. Finally, a two-stage heuristic algorithm based on greedy strategy is proposed. Four metrics are defined and the performance of the proposed algorithm is evaluated based on simulation. The results show that our proposal significantly provides more than 30% reduction of run time and about 12% improvement in service deployment success ratio compared to the Viterbi algorithm based mechanism.

• 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.

• Environmental and Resource Economics Review
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• v.31 no.4
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• pp.597-617
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• 2022

In this study, consumption-based greenhouse gas emissions from 1990 to 2021 are calculated by the industry sector, and greenhouse gas emissions transferred due to trade between countries are compared to analyze what implications Korea has. As a result, production-based and consumption-based emissions in the United States, Germany, the EU, and the OECD are gradually decreasing. Production-based emission in Korea is larger than consumption-based emissions because Korean economic structure is import-oriented. However, unlike other developed countries, Korea cannot trade energy by land, so it can be said that it is reasonable to establish a greenhouse gas reduction plan considering Korea's unique characteristics.

• East Asian Journal of Business Economics (EAJBE)
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• v.12 no.2
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• pp.35-42
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• 2024

Purpose: With the growth of the hospitality industry, it is imperative to identify how smart tourism characteristics may be used in hotel management. Current and emerging technologies such as analytic tools, automation, and Artificial Intelligence (AI) help to create value for the guests while also contributing to waste reduction, resource optimization, and increased profitability in the industry. Research design, data and methodology: The literature review was conducted to examine a broad scope of research in analyzing smart tourism characteristics for the improved management of hotels and establish the necessary background for this issue. The analysis was employed to specify the systematic approach of selecting, scrutinizing, and integrating the source of information. Results: According to the systematic literature analysis, four smart tourism characteristics have been established, which can improve various aspects of hotel management. They are as follows: (1) Smart Guest Experience Management, (2) Smart Operations and Resource Management, (3) Smart Customer Relationship Management, and (4) Smart Destination Management. Conclusions: The findings expose the radical approach that smart tourism characteristics take towards the management of hotels. The developments in IT and science-oriented solutions have opened greater opportunities as the hotel industry can enhance clients' satisfaction, productivity, and participation in environmental conservation initiatives for tourism.

• Journal of Korea Society of Waste Management
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• v.35 no.7
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• pp.606-615
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• 2018

Over the past two decades, the options for solid waste management have been changing from land disposal to recycling, waste-to-energy, and incineration due to growing attention for resource and energy recovery. In addition, the reduction of greenhouse gas (GHG) emission has become an issue of concern in the waste sector because such gases often released into the atmosphere during the waste management processes (e.g., biodegradation in landfills and combustion by incineration) can contribute to climate change. In this study, the emission and reduction rates of GHGs by the municipal solid waste (MSW) management options in D city have been studied for the years 1996-2016. The emissions and reduction rates were calculated according to the Intergovernmental Panel on Climate Change guidelines and the EU Prognos method, respectively. A dramatic decrease in the waste landfilled was observed between 1996 and 2004, after which its amount has been relatively constant. Waste recycling and incineration have been increased over the decades, leading to a peak in the GHG emissions from landfills of approximately $63,323tCO_2\;eq/yr$ in 2005, while the lowest value of $35,962tCO_2\;eq/yr$ was observed in 2016. In 2016, the estimated emission rate of GHGs from incineration was $59,199tCO_2\;eq/yr$. The reduction rate by material recycling was the highest ($-164,487tCO_2\;eq/yr$) in 2016, followed by the rates by heat recovery with incineration ($-59,242tCO_2\;eq/yr$) and landfill gas recovery ($-23,922tCO_2\;eq/yr$). Moreover, the cumulative GHG reduction rate between 1996 and 2016 was $-3.46MtCO_2\;eq$, implying a very positive impact on future $CO_2$ reduction achieved by waste recycling as well as heat recovery of incineration and landfill gas recovery. This study clearly demonstrates that improved MSW management systems are positive for GHGs reduction and energy savings. These results could help the waste management decision-makers supporting the MSW recycling and energy recovery policies as well as the climate change mitigation efforts at local government level.

• Journal of Environmental Science International
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• v.24 no.12
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• pp.1629-1637
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• 2015

To develop various usable water from coal seam gas (CSG) water that needs to be pumped out from coal seams for methane gas production, a feasibility study was carried out, evaluating and analysing a recent report (Coal Seam Gas Water Management Policy 2012) from Queensland State Government in Australia to suggest potential CSG water treatment options for fit-for-purpose usable water production. As CSG water contains intrinsically high salinity-driven total dissolved solid (TDS), bicarbonate, aliphatic carbon, $Ca^{+2}$, $Mg^{+2}$ and so on, it was found that appropriate treatment technologies are required to reduce the hardness below 60 mg/L as $CaCO_3$ by setting the reduction rates of $Ca^{+2}$, $Mg^{+2}$ and Na+ concentrations, as well as TDS reduction. Also, Along with fiber filtration and membrane separation, an oxidation degradation process was found to be required. Along with salinity reduction, as CSG water contains organic compounds (TOC: 248 mg/L, $C_6-C_9$: <20 mg/L and $C_{10}-C_{36}$: <60 mg/L), compounds with relatively high molecular weights ($C_{10}-C_{36}$) need to be treated first. Therefore, this study suggests a combined system design with filtration (Reverse osmosis) and oxidation reduction (electrolysis) technologies, offering proper operating conditions to produce fit-for-purpose usable water from CSG water.

• Health Policy and Management
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• v.9 no.3
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• pp.70-94
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• 1999

This paper was performed for a cost-effectiveness analysis of pharmacologic treatment of hypercholesterolemia. Agents modeled were cholestyramine, gemfibrozil. bezafibrate, lovastatin, pravastatin, simvastatin. Pharmacologic effectiveness was estimated by regression from reported clinical trials. Pharmacologic effects were expressed as the percent change of blood cholesterol level. Cost estimates included patients' travel expenses and time loss as well as resource consumption in the health care sector. Bezafibrate was the most efficient agent for reducing total cholesterol levels, having an cost over 1 year of ￦31.400 per percent reduction in total cholesterol. Simvastatin (10mg/d) was also efficient(￦33,100 per percent reduction). Chole styramine(8g/d) was least efficient at ￦90,200. For low-density lipoprotein cholesterol. simvastatin(10mg/d) was most efficient, at ￦23,200 per percent reduction, followed by lovastatin(20mg/d) at ￦28,000. Gemfibrozil was least efficient at ￦77,800 per percent reduction. For high-density lipoprotein cholesterol. bezafibrate(400mg/d) was most efficient at ￦39,300 per percent increase of high-density lipoprotein cholesterol. Cholestyramine was least efficient at ￦514,700. Analyses combining low-density lipoprotein cholesterol and high-density cholesterol effects suggest that bezafibrate(600mg/d) and simvastatin (10mg/d) were most efficient for reducing cardiovascular risk. The cost-effectiveness analysis results show that both simvastatin and bezafibrate could be efficient treatment. Simvastatin provide more effective treatment at higher cost, whereas bezafibrate is more cost-effective, as it may be less effective, at lower cost. Therefore, clinicians should choose reasonable treatment according to the patient's needs This pharmacoeconimc analysis will provide a guideline for efficient pharmacologic treatment and also be reference data for pricing new drugs.

• Journal of the Korean Society of Food Science and Nutrition
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• v.45 no.2
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• pp.255-260
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• 2016

This study aimed to investigate the effect of red pepper seed powder addition on the chemical compositions, cooking characteristics, and sensory properties of tteokgalbi. Tteokgalbi was prepared by addition of 0% (control), 1%, 2%, 3%, and 4% red pepper seed powder. The moisture and ash contents of samples increased with increased content of red pepper seed powder. In addition, the pH value, CIE $a^*$ value, and CIE $b^*$ value of uncooked and cooked samples increased with higher content of red pepper seed powder. However, cooking loss, diameter reduction, and thickness reduction of samples decreased with increasing content of red pepper seed powder. The hardness, gumminess, and chewiness of samples increased with higher content of red pepper seed powder, and the sensory evaluation of tteokgalbi containing 3% red pepper seed powder was the highest. Therefore, usages of red pepper seed powder can improve quality characteristics of tteokgalbi.

• Health Policy and Management
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• v.13 no.1
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• pp.98-115
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• 2003

Concerns about growing health insurance expenditures became a national Issue in 2001 when the National Health Insurance went into a deficit. Increases in spending for ambulatory care shared the largest portion of the problem. Methods and systems to control the spending should be developed and a system to measure case mix of providers is one of core components of the control system. The objectives of this article is to examine the feasibility of applying Korean Diagnosis Related Groups (KDRGs) to classify health insurance claims for ambulatory care and to identify problem areas of the classification. A database of 11,586,270 claims for ambulatory care delivered during January 2002 was obtained for the study, and the final number of claims analyzed was 8,319,494 after KDRG numbers were assigned to the data and records with an error KDRG were excluded from the study. The unit of analysis was a claim and resource use was measured by the sum of charges incurred during a month at a department of a hospital of at a clinic. Within group variance was assessed by th coefficient of variation (CV), and the classification accuracy was evaluated by the variance reduction achieved by the KDRG classification. The analyses were performed on both all and non-outlier data, and on a subset of the database to examine the validity of study results. Data were assigned to 787 KDRGs among 1,244 KDRGs defined in the classification system. For non-outlier data, 77.4％ of KDRGs had a CV of charges from tertiary care hospitals less than 100％ and 95.43％ of KDRGs for data from clinics. The variance reduction achieved by the KDRG classification was 40.80％ for non-outlier claims from tertiary care hospitals, 51.98％ for general hospitals, 40.89% for hospitals, and 54.99% for clinics. Similar results were obtained from the analyses performed on a subset of the study database. The study results indicated that KDRGs developed for a classification of inpatient care could be used for ambulatory care, although there were areas where the classification should be refined. Its power to predict tile resource utilization showed a potential for its application to measure case mix of providers for monitoring and managing delivery of ambulatory care. The issue concerning the quality of diagnostic information contained in insurance claims remains to be improved, and significance of future studies for other classification systems based on visits or episodes is guaranteed.

• Environmental and Resource Economics Review
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• v.21 no.1
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• pp.27-67
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• 2012

This paper analyzed the effect of transaction costs on the prices and trading volumes at the initial stage of emission markets and also examined how the size of the effect differs depending on the characteristics of the transactions. We built trading protocols modeling a recursive process to search the trading partner and make transactions with several behavioral assumptions considering the situations of early markets. The simulations results show that adding transaction costs resulted in reduction of trading volumes. Furthermore, the speed of reduction in trading volume to the increase of transaction costs is higher when there is scale economy. With a certain level of scale economy, the trading volumes abruptly fall down to almost zero as the transaction cost gets over a certain level. This suggests the possibility of a failed market. Since the scale economy is thought to be significant in the early stage of emission trading market, it is desirable to design a trading system that maximizes trading volumes and minimizes unit transaction costs at the outset. One of the alternatives to meet these conditions is to establish a centralized exchange and take measures to increase trading volumes.