• Title/Summary/Keyword: Saving measure

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An Estimation of Performance Test and Uncertainty of Measurement for a Large Axial-flow Fan Based on ANSI/AMCA 210 Standard (ANSI/AMCA 210 기준에 의한 대형 축류 송풍기의 성능시험 및 측정 불확도 평가)

  • Ko, Hee-Hwan;Chung, Cheol-Young;Kim, Kyung-Yup
    • The KSFM Journal of Fluid Machinery
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    • v.17 no.2
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    • pp.24-29
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    • 2014
  • In general, a large-capacity axial flow fan is used for industrial processes or ventilation in a social overhead capital infrastructure. The main characteristics of the large axial-flow fan need a lot of electrical power consumption and operate 24 hours a day, 365 days a year. Since the large axial flow fan consumes several hundreds to thousands kW per hour, both manufacturer and consumer are struggling to select high efficiency products for saving energy and reducing operation cost. Therefore, the performance testing should be accurately conducted in experimental equipments. The performance estimation and uncertainty of measurement of the axial-flow fan gathered from the result from nozzle shaped testing equipments certified with ANSI/AMCA standard and duct shaped testing equipment under the same experimental condition. The experimental results from both facilities have maximum 17% differences in performance evaluation and uncertainty of measurement. As considering that the differences, it is doubt about the reliability of testing result. The test was repeated with the specific term during 12 months because it is important to fully reflect the real conditions and to decide the repeatability of data. The evaluation of duct type testing facilities was failed to get an uncertainty measure. Testing results were previously published. As a series of previous paper, axial fan (∅1690 mm) and duct type testing facilities were fabricated. The purpose of fabricating testing equipment was testing an uncertainty measurement under the controlled environments.

A Methodological Study on an Assessment Model Developed for the Mitigation of Acid rain Causing Material - Focus on Sulfur Dioxide Emission Reduction Measures - (철강업에 있어서 산성비 원인물질 저감대책평가 모형 구축에 관한 연구 - 아황산가스를 중심으로 -)

  • Lee, Dong-Kun;Jung, Tae-Yong;Jeon, Seong-Woo
    • Journal of Environmental Impact Assessment
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    • v.7 no.2
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    • pp.71-82
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    • 1998
  • This study focuses on one of the most typical energy-intensive industries, the steel industry. The two-fold purpose of the study is to develop a model to assess measures to alleviate sulfur dioxide($SO_2$) emissions from the steel industry and to propose a concrete $SO_2$ emission reduction measure from the steel industry. This study partially employed and modified AIM(Asia-Pacific Integrated Model) developed by Japan National Environmental Research Institute to develop AIM/KOREA SULFUR model for simulation. In the study, a base scenario, which is BAU(Business As Usual) scenario, and mitigation scenarios(a use of low-sulfur contain fuel, fuel conversion to cleaner energy, an induction of desulfurization systems, and energy saving) were employed. The results of the simulation are summarized below: The sulphur dioxide emission from the steel industry in 1992 was estimated to be 252,000 metric tons; however, according to BAU scenario, sulphur dioxide emission is expected to be increased to 586,000 metric tons, which is 2.3 times greater than that in 1992 by year 2020. To alleviate such increasement, simulation results under various 7scenarios proved that some degrees of reduction may be possible by an induction of desulfurization systems although there may be numerous ways to interpretate the simulation results; however, the bottom line is that it appears to be difficult to achieve the Korean Ministry of Environment's policy goal-a mitigation of sulphur dioxide concentration to 0.01ppm.

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Development of Light Transmission Fluctuation for Particle Measurement in Solid-Gas Two Phase Flows

  • YANG, Bin;WANG, Zhan-ping;HE, Yuan;CAI, Xiao-Shu
    • Particle and aerosol research
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    • v.12 no.1
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    • pp.21-26
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    • 2016
  • In order to realize In-line and convenient measurement for solid-gas two phase flows, Light Transmission Fluctuation (LTF) based on the random variation of transmitted light intensity, light scattering theory and cross-correlation method was presented for online measurement of particle size, concentration and velocity. The statistical relationship among transmitted light intensity, particle size and particle number in measurement zone was described by Beer-Lambert Law. Accordingly, the particle size and concentration were determined from the fluctuation signal of transmitted light intensity. Simultaneously, the particle velocity was calculated by cross-correlation analysis of two neighboring light beams. By considering the influence of concentration variation in industrial applications, the improved algorithm based on spectral analysis of transmitted light intensity was proposed to improve measurement accuracy and stability. Therefore, the online measurement system based on LTF was developed and applied to measure pulverized coal in power station and raw material in cement plant. The particle size, concentration and velocity of powder were monitored in real-time. It can provide important references for optimal control, energy saving and emission reduction of energy-intensive industries.

Efficient Data Clustering using Fast Choice for Number of Clusters (빠른 클러스터 개수 선정을 통한 효율적인 데이터 클러스터링 방법)

  • Kim, Sung-Soo;Kang, Bum-Su
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.41 no.2
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    • pp.1-8
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    • 2018
  • K-means algorithm is one of the most popular and widely used clustering method because it is easy to implement and very efficient. However, this method has the limitation to be used with fixed number of clusters because of only considering the intra-cluster distance to evaluate the data clustering solutions. Silhouette is useful and stable valid index to decide the data clustering solution with number of clusters to consider the intra and inter cluster distance for unsupervised data. However, this valid index has high computational burden because of considering quality measure for each data object. The objective of this paper is to propose the fast and simple speed-up method to overcome this limitation to use silhouette for the effective large-scale data clustering. In the first step, the proposed method calculates and saves the distance for each data once. In the second step, this distance matrix is used to calculate the relative distance rate ($V_j$) of each data j and this rate is used to choose the suitable number of clusters without much computation time. In the third step, the proposed efficient heuristic algorithm (Group search optimization, GSO, in this paper) can search the global optimum with saving computational capacity with good initial solutions using $V_j$ probabilistically for the data clustering. The performance of our proposed method is validated to save significantly computation time against the original silhouette only using Ruspini, Iris, Wine and Breast cancer in UCI machine learning repository datasets by experiment and analysis. Especially, the performance of our proposed method is much better than previous method for the larger size of data.

A Comparative Study of SERVQUAL and SERVPERF in Measuring the Pallet Pool Service Quality (파렛트 Pool 서비스품질 측정에 있어서 SERVQUAL과 SERVPERF 모형비교 연구)

  • Oh, Sun-Il;Kang, Kyung-Sik
    • Journal of the Korea Safety Management & Science
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    • v.13 no.2
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    • pp.157-167
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    • 2011
  • Currently, interest on physical distribution is increasing due to burden of oil cost increases as oil price rises day by day. As interest grows, there are number of studies have been conducting on saving the cost of distribution. On the other hand, number of study on service of distribution is insufficient. Actually, subject of service of physical distribution have been studied by number of survey organizations, research organizations and mass media. Although, configuration for each organization is different from each other and it is hard to measure objective satisfactory factor of customers. This means needs for constructing standardized measuring tool as well as research on measuring service quality of distribution is not active. Therefore, this research is to compare and analyze compatibility of service quality measuring using SERVQUAL and SERVPERF and trying to clarify differences affected by importance service quality by each level to actual service quality. Also, this research is to make basic and standardized measuring model to improve quality of physical distribution especially using analysis of service quality and customer satisfaction of pallet pool service which contributes rationalization of distribution and reduce the cost by standardizing specification and size of pallet, allowing sharing of pallet. To conduct this research, case study of a company A is used where it is in a pallet pool business. Using this example, the goal is to give help on pallet pool business a strategic exercise if the business by point out major factors that affect customer satisfaction by collecting customer assessment along with examination of SERVQUAL and SERVPERF in measuring service quality if pallet pool service.

Detection of Abnormally High Amygdalin Content in Food by an Enzyme Immunoassay

  • Cho, A-Yeon;Yi, Kye Sook;Rhim, Jung-Hyo;Kim, Kyu-Il;Park, Jae-Young;Keum, Eun-Hee;Chung, Junho;Oh, Sangsuk
    • Molecules and Cells
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    • v.21 no.2
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    • pp.308-313
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    • 2006
  • Amygdalin is a cyanogenic glycoside compound which is commonly found in the pits of many fruits and raw nuts. Although amygdalin itself is not toxic, it can release cyanide (CN) after hydrolysis when the pits and nuts are crushed, moistened and incubated, possibly within the gastrointestinal tract. CN reversibly inhibits cellular oxidizing enzymes and cyanide poisoning generates a range of clinical symptoms. As some pits and nuts may contain unusually high levels of amygdalin such that there is a sufficient amount to induce critical CN poisoning in humans, the detection of abnormal content of amygdalin in those pits and nuts can be a life-saving measure. Although there are various methods to detect amygdalin in food extracts, an enzyme immunoassay has not been developed for this purpose. In this study we immunized New Zealand White rabbits with an amygdalin-KLH (keyhole limpet hemocyanin) conjugate and succeeded in raising anti-sera reactive to amygdalin, proving that amygdalin can behave as a hapten in rabbits. Using this polyclonal antibody, we developed a competition enzyme immunoassay for determination of amygdalin concentration in aqueous solutions. This technique was able to effectively detect abnormally high amygdalin content in various seeds and nuts. In conclusion, we proved that enzyme immunoassay can be used to determine the amount of amygdalin in food extracts, which will allow automated analysis with high throughput.

Application of On-Line SPE-LC/MSD to Measure Perfluorinated Compounds (PFCs) in Water (On-Line SPE-LC/MSD 시스템을 이용한 수중의 과불화 화합물(PFCs) 분석)

  • Son, Hee-Jong;Yoom, Hoon-Sik;Jung, Jong-Moon;Jang, Seung-Ho
    • Journal of Korean Society of Environmental Engineers
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    • v.35 no.2
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    • pp.75-83
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    • 2013
  • We applied a sensitive method based on on-line solid-phase extraction (SPE) and liquid chromatography/mass spectrometry (LC/MSD) using an electrospray interface for the determination of eleven perfluorinated compounds (PFCs) in water. The on-line connection suppressed the target loss by keeping the cartridge from drying, which resulted in improvement of the recovery and saving of the analytical time. For the on-line solid-phase extraction of 10 mL water samples, recoveries were between $80.4{\pm}5.2%{\sim}109.5{\pm}1.4%$ and limit of quantification (LOQ) were 3.6~15.9 ng/L for the PFCs. The total PFCs concentrations of the tributaries and main stream of Nakdong River water samples were in the range of $8.0{\sim}678.6{\mu}g/L$.

Multi-View Video Coding Using Illumination Change-Adaptive Motion Estimation and 2D Direct Mode (조명변화에 적응적인 움직임 검색 기법과 2차원 다이렉트 모드를 사용한 다시점 비디오 부호화)

  • Lee, Yung Ki;Hur, Jae Ho;Lee, Yung Lyul
    • Journal of Broadcast Engineering
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    • v.10 no.3
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    • pp.321-327
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    • 2005
  • A MVC (Multi-view Video Coding) method, which uses both an illumination change-adaptive ME (Motion Estimation)/DC (Motion Compensation) and a 2D (Dimensional) direct mode, is proposed. Firstly, a new SAD (Sum of Absolute Difference) measure for ME/MC is proposed to compensate the Luma pixel value changes for spatio-temporal motion vector prediction. Illumination change-adaptive (ICA) ME/MC uses the new SAD to improve both MV (Motion Vector) accuracy and bit saving. Secondly, The proposed 2D direct mode that can be used in inter-view prediction is an extended version of the temporal direct mode in MPEG-4 AVC. The proposed MVC method obtains approximately 0.8dB PSNR (Peak Signal-to-Noise Ratio) increment compared with the MPEG-4 AVC simulcast coding.

MissingFound: An Assistant System for Finding Missing Companions via Mobile Crowdsourcing

  • Liu, Weiqing;Li, Jing;Zhou, Zhiqiang;He, Jiling
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.10 no.10
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    • pp.4766-4786
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    • 2016
  • Looking for missing companions who are out of touch in public places might suffer a long and painful process. With the help of mobile crowdsourcing, the missing person's location may be reported in a short time. In this paper, we propose MissingFound, an assistant system that applies mobile crowdsourcing for finding missing companions. Discovering valuable users who have chances to see the missing person is the most important task of MissingFound but also a big challenge with the requirements of saving battery and protecting users' location privacy. A customized metric is designed to measure the probability of seeing, according to users' movement traces represented by WiFi RSSI fingerprints. Since WiFi RSSI fingerprints provide no knowledge of users' physical locations, the computation of probability is too complex for practical use. By parallelizing the original sequential algorithms under MapReduce framework, the selecting process can be accomplished within a few minutes for 10 thousand users with records of several days. Experimental evaluation with 23 volunteers shows that MissingFound can select out the potential witnesses in reality and achieves a high accuracy (76.75% on average). We believe that MissingFound can help not only find missing companions, but other public services (e.g., controlling communicable diseases).

A Study on the Precautions Effects of the Enclosure Integrity Test for the Gaseous Extinguishing Systems: Focusing on the Power Plant (가스계 소화설비의 밀폐도 시험에 영향을 미치는 사전조치에 관한 연구: 발전소를 중심으로)

  • Kim, Young-Chul;Jo, Il-Hyun;Lee, Su-Kyung
    • Fire Science and Engineering
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    • v.29 no.1
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    • pp.60-66
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    • 2015
  • The present study was aimed to analyze enclosure integrity test, which is the performance experiment of soaking time, in a fire zone equipped with gaseous extinguishing system in an effort to find understand the effect of precaution factors upon the success of fire extinguishment. To achieve the goal of this study, it divided the fire zones of internal and external power plants into ones taking precaution measures and not taking them and then enclosure integrity test was given respectively. Therefore, this study examined the success rate if the test according to the presence and absence of the precaution measure and confirmed the failure factors, designed concentration soaking time and proportion of leakage area to total volume area by type of gaseous extinguishing system and rooms. Precaution measures were applied to the fire zones without them to confirm the increase of the success rate of enclosure integrity test. By doing so, it was found that reduced number of experiments caused by failure led to cost saving.