• Title/Summary/Keyword: Operation Characteristics

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A Study on Exhaust Gas Characteristics of Heavy-duty Diesel Engines through Actual Vehicle Application of Non-influenced Temperature Condition Type Active Regeneration Method (온도조건 비영향형 복합재생방식 DPF의 실차적용을 통한 대형디젤기관의 배출가스 특성 연구)

  • Yun chul Lee;Sang ki Oh
    • Journal of ILASS-Korea
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    • v.29 no.2
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    • pp.53-59
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    • 2024
  • Cars are one of the main causes of air pollution in large cities, and 34.6% of domestic air pollution emissions come from mobile sources, of which cars account for 69.6%. In particular, the importance of nitrogen oxides (NOx) and particulate matter (PM), which are major pollutants in diesel vehicles, is increasing due to their high contribution to emissions. Therefore, in this study, the problem of natural regeneration caused by low exhaust gas temperature during low speed and low load operation was solved by applying a complex regeneration DPF that is not affected by temperature conditions to large diesel vehicles with higher driving time and engine displacement than small and medium-sized vehicles. And the feasibility of application to large diesel vehicles was reviewed by measuring the emission reduction efficiency. As a result of the reduction efficiency test on the actual vehicle durability product, PM showed a reduction efficiency of 84% to 86%, and the reduction efficiency of gaseous substances showed a high reduction efficiency of over 90%. The actual vehicle applicability test was completed with three driving patterns: village bus vehicle, police car, and road-going construction equipment vehicle, and no device problems occurred until the end of the test. Both load and no-load smoke measurement results showed a smoke reduction efficiency of over 96%.

Development of Three-Dimensional Deformable Flexible Printed Circuit Boards Using Ag Flake-Based Conductors and Thermoplastic Polyamide Substrates

  • Aram Lee;Minji Kang;Do Young Kim;Hee Yoon Jang;Ji-Won Park;Tae-Wook Kim;Jae-Min Hong;Seoung-Ki Lee
    • Journal of the Korean Institute of Electrical and Electronic Material Engineers
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    • v.37 no.4
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    • pp.420-426
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    • 2024
  • This study proposes an innovative methodology for developing flexible printed circuit boards (FPCBs) capable of conforming to three-dimensional shapes, meeting the increasing demand for electronic circuits in diverse and complex product designs. By integrating a traditional flat plate-based fabrication process with a subsequent three-dimensional thermal deformation technique, we have successfully demonstrated an FPCB that maintains stable electrical characteristics despite significant shape deformations. Using a modified polyimide substrate along with Ag flake-based conductive ink, we identified optimized process variables that enable substrate thermal deformation at lower temperatures (~130℃) and enhance the stretchability of the conductive ink (ε ~30%). The application of this novel FPCB in a prototype 3D-shaped sensor device, incorporating photosensors and temperature sensors, illustrates its potential for creating multifunctional, shape-adaptable electronic devices. The sensor can detect external light sources and measure ambient temperature, demonstrating stable operation even after transitioning from a planar to a three-dimensional configuration. This research lays the foundation for next-generation FPCBs that can be seamlessly integrated into various products, ushering in a new era of electronic device design and functionality.

Analysis of the impact of government regulatory innovation efforts and regulatory irrationality perceptions in AI and DATA services on companies' regulatory response efforts to continue their businesses (AI·DATA 서비스 분야 정부 규제혁신 노력 및 규제 불합리 인식이 기업들의 사업 지속을 위한 규제대응 노력에 미치는 영향 분석)

  • Hye Lim Song;Myoung Sug Jung;Joo Yeoun Lee
    • Journal of the Korean Society of Systems Engineering
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    • v.20 no.1
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    • pp.1-15
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    • 2024
  • This study attempted to analyze whether the government's regulatory innovation efforts affect the continued operation of new products and new service-based businesses, such as regulatory compliance and response efforts, despite the perception of regulatory difficulties as business barriers for firms in new industries. Previous studies on the impact of regulations on companies in new industries were a limit to obtaining implications for regulatory issues and characteristics of each field due to the simplification of regulatory indicators and the establishment of field integration. To compensate for this, this study focused on the field of AI and DATA services, and subdivided regulatory issues to indicate practical inconvenience as variables, and model fit and hypothesis verification were performed by applying Structural Equation Model analysis based on the survey results of related companies. As a result, in the field of AI and DATA services, "Perceived regulatory irrationality" and "Perceived government regulatory innovation efforts" significantly affect the "Regulatory environment satisfaction" of the regulated, and "Perceived regulatory irrationality" and "Regulatory environment satisfaction" affect "Regulatory response efforts for companies in new industries to continue their businesses." The significance of this study is that it conducted research on the factors affecting the continuity of business of companies in the AI and DATA service sector by linking the analysis of the impact relationship between satisfaction and continuous use intention, which have been mainly used in the "Policy Acceptance Model" and "IT service sector," to "efforts for companies to continue their business in a new industrial regulatory environment." In addition, by presenting a new empirical model for new industry regulations, it is expected to be meaningful as it can provide a research foundation that can obtain practical implications in related fields.

Inpatient or outpatient total elbow arthroplasty: a comparison of patient populations and 30-day surgical outcomes from the American College of Surgeons National Surgical Quality Improvement Program

  • David Momtaz;Farhan Ahmad;Aaron Singh;Emilie Song;Dean Slocum;Abdullah Ghali;Adham Abdelfattah
    • Clinics in Shoulder and Elbow
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    • v.26 no.4
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    • pp.351-356
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    • 2023
  • Background: Total elbow arthroplasty (TEA) is uncommon, but growing in incidence. Traditionally an inpatient operation, a growing number are performed outpatient, consistent with general trends in orthopedic surgery. The aim of this study was to compare TEA outcomes between inpatient and outpatient surgical settings. Secondarily, we sought to identify patient characteristics that predict the operative setting. Methods: Patient data were collected from the American College of Surgeons National Quality Improvement Program. Preoperative variables, including patient demographics and comorbidities, were recorded, and baseline differences were assessed via multivariate regression to predict operative setting. Multivariate regression was also used to compare postoperative complications within 30 days. Results: A total of 468 patients, 303 inpatient and 165 outpatient procedures, were identified for inclusion. Hypoalbuminemia (odds ratio [OR], 2.5; P=0.029), history of chronic obstructive pulmonary disorder or pneumonia (OR, 2.4; P=0.029), and diabetes mellitus (OR, 2.5; P=0.001) were significantly associated with inpatient TEA, as were greater odds of any complication (OR, 4.1; P<0.001) or adverse discharge (OR, 4.5; P<0.001) and decreased odds of reoperation (OR, 0.4; P=0.037). Conclusions: Patients undergoing inpatient TEA are generally more comorbid, and inpatient surgery is associated with greater odds of complications and adverse discharge. However, we found higher rates of reoperation in outpatient TEA. Our findings suggest outpatient TEA is safe, although patients with a higher comorbidity burden may require inpatient surgery. Level of evidence: III.

A Study on the Environment and Human Tritium Radiation Monitoring around the Heavy Water Nuclear Power Plant (중수로 원전 주변 환경 및 인체 삼중수소 방사능 모니터링에 관한 고찰)

  • SangJun Han;HongYeon Lee;BoGil Kim;HyeKyung Ha;YongJu Sin
    • Journal of Radiation Industry
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    • v.17 no.4
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    • pp.427-436
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    • 2023
  • As a result of evaluating the level of tritium emitted from the nuclear power plant in the environment and the human body, it was confirmed that tritium was detected in the environmental media and human urine samples to be investigated. It was found that the tritium was clearly detected. After the operation of the Tritium Removal Facility (TRF), which was operated for the purpose of removing tritium from the Wolsong nuclear power plant, the tritium emission showed a decreasing trend, and the tritium level in the environmental media also showed a tendency to decrease accordingly. However, for precise evaluation, it was necessary to select and investigate points by distance, season, and wind direction from the nuclear power plant, but it also showed characteristics that did not reflect this. As the cycle, etc., implemented the previous environmental monitoring program as it is, there was also a limitations in not being able to reflect the changing environment. Therefore, it is necessary to review and supplement the environmental monitoring investigation plan and results so far, and by applying the supplemented investigation plan to secure valid and reliable investigation results, it is judged that it will be an appropriate measure for environmental conservation and human protection in the vicinity of the nuclear power plant.

Analysis of Metaverse Technology Trends and Case Studies of Utilization in the Jewelry Industry in the Post-COVID (포스트 코로나의 메타버스 기술 동향과 주얼리 산업의 활용 사례 분석)

  • Hye-Rim Kang
    • The Journal of the Convergence on Culture Technology
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    • v.10 no.4
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    • pp.675-680
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    • 2024
  • This study aims to examine the trends in Metaverse technology following the Post-COVID era and analyze the use cases in the jewelry industry. With the endemic, the business environment for companies has shifted from online to offline, leading to a reduced public interest in the Metaverse. However, examining the global jewelry brand trends in metaverse technology reveals advancements in AR/VR technologies that enhance realism and evolve the metaverse into a space without the uncanny gap between virtual and reality. The Metaverse exhibits three main characteristics in the Post-COVID era. First, there is a transformation in the business domain, starting with digital twins. Second, it is integrating with various information and communication technologies. Third, setting a direction for Metaverse operation as an omni-channel is being emphasized. Utilizing assets learned during the COVID-19 period and continuing to learn about digital and online technologies is essential for securing market competitiveness. This paper discusses how to enhance the competitiveness of jewelry industry entities based on the trends of Metaverse technology in the Post-COVID era.

A Study on Biomass Utilization Strategies of Hokkaido Prefecture in Japan (일본 북해도지역 바이오매스 이용에 관한 사례 연구)

  • Yook, Hye-Young;Lee, Myung-Gyu
    • Journal of the Korea Organic Resources Recycling Association
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    • v.17 no.2
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    • pp.37-50
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    • 2009
  • This study was carried out to investigate the integrated biomass strategies for utilization and application characteristics in Hokkaido prefecture, japan. From the results, to achieve a successful operation of biomass recycling facilities, it previously needs the effective byproduct supplying construction system for field demander as well as the advanced environmental technology introduction. Especially, the value-promotion recycling technology were requested as follows; (1) production of functional solid composting for protection soil acidification, (2) the addition of soil microorganism to the production of liquid fermentation fertilizer, (3) construction of diverse energy supply system, (4) mixed organic material fermentation process concerning on heavy metal concentration, (5) introduction of incentive garbage collection system for contaminants prevention.

Characteristics of Particle Size Distribution in the Organic Fraction of Municipal Solid Waste by the Reaction of Super-heated Steam (과열증기 반응에 의한 생활폐기물 유기성분 입도특성)

  • Jang, Ha-Na;Min, Tai-Jin;Roh, Seon-Ah;Kim, Woo-Hyun;Sung, Hyun-Je;Park, Seong-Bum
    • Journal of the Korea Organic Resources Recycling Association
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    • v.18 no.4
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    • pp.64-68
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    • 2010
  • Recently, MBT(Mechanical Biological Treatment) facilities were built up and operated to separate and recycle MSW(Municipal Solid Wastes)in South Korea. However, the size distribution of MSW is very rough, and it is causing operation problem because MSW would be crushed in undersize diameter by mechanical equipment before feeding each seperation process. Also, the organic material should be pre-seperated to reuse recycle material in MSW. In this research, the reactor of 1ton/batch using the super-heated steam was tested to present the separation efficiency and the size distribution of MSW by experimental factors.

Development of a Deep Learning-based Long-term PredictionGenerative Model of Wind and Sea Conditions for Offshore Wind Farm Maintenance Optimization (해상풍력단지 유지보수 최적화 활용을 위한 풍황 및 해황 장기예측 딥러닝 생성모델 개발)

  • Sang-Hoon Lee;Dae-Ho Kim;Hyuk-Jin Choi;Young-Jin Oh;Seong-Bin Mun
    • Journal of Wind Energy
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    • v.13 no.2
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    • pp.42-52
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    • 2022
  • In this paper, we propose a time-series generation methodology using a generative adversarial network (GAN) for long-term prediction of wind and sea conditions, which are information necessary for operations and maintenance (O&M) planning and optimal plans for offshore wind farms. It is a "Conditional TimeGAN" that is able to control time-series data with monthly conditions while maintaining a time dependency between time-series. For the generated time-series data, the similarity of the statistical distribution by direction was confirmed through wave and wind rose diagram visualization. It was also found that the statistical distribution and feature correlation between the real data and the generated time-series data was similar through PCA, t-SNE, and heat map visualization algorithms. The proposed time-series generation methodology can be applied to monthly or annual marine weather prediction including probabilistic correlations between various features (wind speed, wind direction, wave height, wave direction, wave period and their time-series characteristics). It is expected that it will be able to provide an optimal plan for the maintenance and optimization of offshore wind farms based on more accurate long-term predictions of sea and wind conditions by using the proposed model.

Comparative research on expansive soil stabilization using ecofriendly materials versus nano-materials

  • Ali Hasan Hammadi Algabri;Seyed Alireza Zareei;Mohamed Jassam Mohamed Al Taee;Niloofar Salemi
    • Advances in nano research
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    • v.17 no.2
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    • pp.125-136
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    • 2024
  • In the present research the durability and geotechnical properties of an expensive clayey soil stabilized by two different compositions of additives were investigated and compared. The first composition consisted of environmentally and ecofriendly materials: BOF steel slag ranging from 0-20% as well as rice husk ash (RHA) ranged 0-16%wt of dry soil. The other composition consisted of relatively new generation of materials including nanomaterials: nano-CaCO3 as well as nano-SiO2. Atterberg limits test, free swell percent test, swelling pressure test and unconfined compressive test were used to assess the stabilizers influences upon expansive soil geotechnical characteristics. Also, the recurrent wet-dry cycles test was exerted on experimental and non-experimental samples for estimating stabilizers effects on durability. According to the results, each of the BOF slag and RHA enhances the expansive soil properties individually, while combination of slag-RHA led to better improvement of the soil properties. Also, the composition of nano-CaCO3 and SiO2 dramatically improved the clay soil operation. The optimum values of slag+RHA were suggested as 20% slag+12% RHA to enhance percent of swelling, pressure of swelling in addition to UCS as much as 95%, 96%, and 370%, respectively. The optimum value for the second stabilizer in this study was found to be 2%nano-SiO2+2% nano-CaCO3 which led to 318% increase in UCS and 86% decrease in swelling pressure.