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Assessing Possible Tax Plans on Nuclear Electricity Generation in Korea (원자력 발전에 대한 과세방안 연구)

  • Sunghoon Hong
    • Environmental and Resource Economics Review
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    • v.31 no.4
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    • pp.711-731
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    • 2022
  • In Korea, nuclear power plants are major sources of electricity supply with relatively low costs. Despite the importance and scale of nuclear electricity generation, the Korean tax and levy system is less organized than those in other countries, such as France and Japan, where nuclear power plants also play significant roles for electricity supply. Countries impose tax on nuclear electricity generation roughly in three ways: tax on nuclear reactors; tax on uranium fuel; tax on electricity from nuclear power plants. The Korean government may consider taxing nuclear electricity generation based on uranium fuel or electricity generation. If taxing on uranium fuel at the rate of 90 KRW per milligram of uranium, the Korean government can collect additional tax revenue of 430 billion KRW. If taxing on electricity from nuclear power plants at the rate of 11 KRW per kilowatt-hour, the government can collect additional tax revenue of 1,600 billion KRW.

Indoor Path Recognition Based on Wi-Fi Fingerprints

  • Donggyu Lee;Jaehyun Yoo
    • Journal of Positioning, Navigation, and Timing
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    • v.12 no.2
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    • pp.91-100
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    • 2023
  • The existing indoor localization method using Wi-Fi fingerprinting has a high collection cost and relatively low accuracy, thus requiring integrated correction of convergence with other technologies. This paper proposes a new method that significantly reduces collection costs compared to existing methods using Wi-Fi fingerprinting. Furthermore, it does not require labeling of data at collection and can estimate pedestrian travel paths even in large indoor spaces. The proposed pedestrian movement path estimation process is as follows. Data collection is accomplished by setting up a feature area near an indoor space intersection, moving through the set feature areas, and then collecting data without labels. The collected data are processed using Kernel Linear Discriminant Analysis (KLDA) and the valley point of the Euclidean distance value between two data is obtained within the feature space of the data. We build learning data by labeling data corresponding to valley points and some nearby data by feature area numbers, and labeling data between valley points and other valley points as path data between each corresponding feature area. Finally, for testing, data are collected randomly through indoor space, KLDA is applied as previous data to build test data, the K-Nearest Neighbor (K-NN) algorithm is applied, and the path of movement of test data is estimated by applying a correction algorithm to estimate only routes that can be reached from the most recently estimated location. The estimation results verified the accuracy by comparing the true paths in indoor space with those estimated by the proposed method and achieved approximately 90.8% and 81.4% accuracy in two experimental spaces, respectively.

Performance Comparison of Neural Network Models for the Estimation of Instantaneous and Accumulated Powder Exhausts of a Bulk Trailer (벌크 트레일러의 순간 및 누적 분말 배출량 추정을 위한 신경망 모델 성능 비교)

  • Chang June Lee;Jung Keun Lee
    • Journal of Sensor Science and Technology
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    • v.32 no.3
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    • pp.174-179
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    • 2023
  • Bulk trailers, used for the transportation of powdered materials, such as cement and fly ash, are crucial in the construction industry. The speedy exhaustion of powdered materials stored in the tank of bulk trailers is relevant to improving transportation efficiency and reducing transportation costs. The exhaust time can be reduced by developing an automatic control system to replace the manual exhaust operation. The instantaneous or accumulated exhausts of powdered materials must be measured for automatic control of the bulk trailer exhaust system. Accordingly, we previously proposed a recurrent neural network (RNN) model that estimated the instantaneous exhaust based on low-cost pressure sensor signals without an expensive flowmeter for powders. Although our previous study utilized only an RNN model, models such as multilayer perceptron (MLP) and convolutional neural network (CNN) are also widely utilized for time-series estimation. This study compares the performance of three neural network models (MLP, CNN, and RNN) in estimating instantaneous and accumulated exhausts. In terms of the instantaneous exhaust estimation, the difference in the performance of neural network models was insignificant (that is, 8.64, 8.62, and 8.56% for the MLP, CNN, and RNN, respectively, in terms of the normalized root mean squared error). However, in the case of the accumulated exhaust, the performance was excellent in the order of CNN (1.67%), MLP (2.03%), and RNN (2.20%).

Clinical Characteristics, Drug Adherence to Antipsychotics and Medical Use Trends in Patients First Diagnosed with Psychotic Disorder: A Preliminary Study (정신병적 장애로 첫 내원한 환자들의 임상 특징과 투약 순응도 및 의료 이용 추이: 예비 연구)

  • Heo, Jung Un;Kim, Dong Wook;Oh, Seung-Taek;Choi, Won-Jung;Park, Jaesub
    • Korean Journal of Schizophrenia Research
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    • v.22 no.2
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    • pp.42-50
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    • 2019
  • Objectives: In this preliminary study, we investigated the clinical characteristics of patients who were first diagnosed with psychotic disorder and explored the impact of the adherence to antipsychotics on long-term medical use. Methods: All national health insurance claims related to psychotic disorders including gender, age, income, and drug compliance, from January 1, 2008 to December 31, 2015, were examined. With trend test using Medication Possession Ratio (MPR), we compared the medical use between the compliant group (MRP≥0.8) and the comparative non-compliant group (0.2≤MPR<0.8). Results: Among 28,095 participants in total, 16,239 patients (57.8%) were diagnosed as schizophrenia; the 30s were the most common (n=7,151, 25.5%). Drug compliance was generally low regardless of the diagnosis and was the lowest among 20s with the 40-60% range of income. The compliant group showed lower psychiatric and medical use than the comparative group in the following years (p<0.0001). Conclusion: These findings suggest that patients in the 20s and 30s with the 40-60% range of income, who are diagnosed with schizophrenia at the first psychiatric visit, may need more clinical and political attention. The results also emphasize the importance of initial drug adherence to antipsychotics in reducing long-term psychiatric costs.

The Analyses of Gaps in Reliability and Quality Performance among the Levels of Supply Chain Orientation of Korean Foreign Direct Investment Firms (한국 해외직접투자기업의 공급사슬지향성의 수준에 따른 신뢰성과 품질 성과의 차이분석)

  • Bae, Hee-Sung;Kim, Eun-Soo
    • Korea Trade Review
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    • v.43 no.3
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    • pp.147-168
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    • 2018
  • Korean foreign direct investment (FDI) firms procure cheap raw materials, produce goods in developing countries featuring low rent and labor costs, and sell goods in world market. In this regard, global supply chain management is important to Korean FDI firms. The objective of this study is to analyze gaps in the performance of reliability and quality of supply chain orientations. To achieve this objective, this study confirms theoretical relationships between variables through prior research, selects measuring variables, and analyzes data collected from Korean FDI firms. Results are as follows; First, there is a gap in reliability performance among the levels of supply chain orientation. Managers should check the level of their supply chain orientation and make strategic and structural efforts to improve reliability performance. Second, there is a gap in quality performance among the levels of supply chain orientation. To improve quality performance, managers should identify the level of their supply chain orientation. In addition, managers can enhance quality performance on the basis of strategic and structural efforts.

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Design of Intelligent Big data Convergence Service to Support Non-store Founders based on Non-face-to-face (무점포 창업자 지원을 위한 비대면 기반의 지능형 빅데이터 융합 서비스 설계)

  • Hyun-Mo Koo;Ji-Yun Hong;Cheol-Soo Kang
    • Journal of Advanced Technology Convergence
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    • v.2 no.2
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    • pp.1-8
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    • 2023
  • Due to the recent long-term economic downturn, the number of non-store and mail-order sellers is increasing as prospective entrepreneurs are concentrated due to the phenomenon of non-store start-ups with low start-up costs. In particular, in addition to unemployed young people and housewives who lack funds, many office workers who wish to have a 'two-job' are jumping into the business. Therefore, in this paper, we have moved away from provider-oriented service platforms that are dependent on specific networks, operators, and service types. In addition, we plan to design a business integration support system that can provide B2B services in the promotional material industry that contributes to business support and profit generation of wholesale and retail non-store entrepreneurs through sharing and participation. The proposed system is judged to be a business integrated operation support system applying orchestration and service management technology and enterprise business partner management technology that can provide stable operation management service.

Energy harvesting by Tesla Turbine

  • Duong Phan Anh;Ryu Bo Rim;Lee Jin Uk;Kang Ho Keun
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2021.11a
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    • pp.132-133
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    • 2021
  • In recent years, energy harvesting from natural sources and waste heat has been attracting more attention from researchers in response to ever-growing energy demands, high energy prices, and climate-change-mitigation purposes. It is also an important step towards future sustainable energy usages. In thermal dynamic cycles, expanders are playing as the most important equipment for waste heat recovery and energy harvesting as well. As a kind of expander, the bladeless turbine has a promising future and more widely using owning its advantages on relatively long life, good off-design performance, easy operation cleaning and maintenance, a simple structure, no blade corrosion, and low manufacturing costs. There are numerous studies about using the Tesla Turbine as a key technology for energy harvesting in a wide range of applications and conditions. They are presented to help identify technologies that have sufficient potential for applicating to our life and marine industrial engineering. This review paper, initially, presents an overview of current studies both theoretical and experimental of Tesla Turbine usage for waste heat recovery alongside its challenges and investigation on the effect of its configuration, working fluid selection as well. To conclude, future perspectives besides possible ways of transforming waste heat energy to electricity or work, which leads to circular energy, are discussed. The ambition of this paper is to act as a first-hand reference, through the well-defined possible directions, to the young researchers and senior scientists.

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Enhancement of High-Temperature Catalytic Reactions Using Membranes (분리막을 이용한 고온 촉매 반응 효율 향상)

  • Eun-Young Kim;Myeong-Hun Hyeon;Su-Young Moon
    • Membrane Journal
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    • v.33 no.6
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    • pp.305-314
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    • 2023
  • Various methods for removing by-products from chemical reactions are being studied to improve yield of catalytic reaction. Since the water is predominantly generated as a by-product in industrially significant reactions, it is necessary to develop the technology that can reliably remove water over a wide range of temperatures. Although several strategies using absorbents and additional dehydration reactions, have been proposed, they have limitations due to the issues such as additional energy and time consuming steps and sustainability of conversion. Membrane technology, which offers advantages such as easy operation, installation, and low maintenance costs, proves to be a promising approach for enhancing the efficiency of catalysts in various catalytic reactions. Therefore, this review discusses the removal of by-products using membranes and the associated benefits in this context.

A Study on the Revision of Domestic Pilot Jet Type Rating (국내 조종사 제트 형식한정 개정에 관한 연구)

  • Sung-yeob Kim;Jihun Choi;Myeong-sik, Lee;Hyeon-deok, Kim
    • Journal of Advanced Navigation Technology
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    • v.27 no.5
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    • pp.534-539
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    • 2023
  • Currently, in Korea, to obtain a jet type rating, you must receive training on a small business jet model. The reason is because of the law in the Aviation Safety Act Enforcement Rules 『Appendix 4』 that states, "You must receive at least 2 hours of flight training." In the end, it is acquiring type rating as a small business jet aircraft with relatively low operating costs. The qualifications acquired in this way are different from those for aircraft operated by airlines. However, if you have an initial jet type rating, you can acquire an airline aircraft qualification just by training on a simulator, so airlines want you to have at least a small-jet type rating. However, in the United States and Australia, there is a system in place to acquire initial jet type rating through simulator training without actual flight training.

An In-depth Analysis of Enhancing the Core Blueprint of Architectural Constructs Leveraging Value Engineering(VE) Techniques (VE 기법을 활용한 건축 구조물 코어 형식 개선 방안에 관한 연구)

  • Lee, Jae-Taek;Kim, Gyu-Yong;Lee, Jae-Hyun;Nam, Jeong-Soo
    • Journal of the Korea Institute of Building Construction
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    • v.23 no.5
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    • pp.571-581
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    • 2023
  • The contemporary domestic construction landscape has witnessed a contraction, primarily attributed to the operational challenges faced by construction entities and a downtrend in the initiation of new projects. In light of this, domestic construction enterprises are ardently seeking avenues to economize whilst simultaneously amplifying the quality across diverse construction genres. Value engineering (VE), heralded for its prowess in not only cost mitigation but also in accelerating project timelines and bolstering construction quality, has been extensively adopted in refining finishing tasks. However, its application to framework enhancements remains conspicuously limited. Particularly in factory edification, framing emerges as a pivotal process exerting significant influence over the entire construction continuum. Thus, it becomes imperative to integrate VE techniques at the inception phase of framing. This would facilitate a meticulous examination of design schematics and on-site conditions, paving the way for alternative strategies that condense construction durations, economize on costs, and augment work efficiency, all the while upholding paramount standards of quality and safety. Such a venture stands to be foundational in expediting construction timelines, fostering economic efficiency, and buttressing construction safety protocols.