• Title/Summary/Keyword: Processing Condition

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Temperature Data Visualization for Condition Monitoring based on Wireless Sensor Network (무선 센서 네트워크 기반의 상태 모니터링을 위한 온도 데이터 시각화)

  • Seo, Jung-Hee
    • The Journal of the Korea institute of electronic communication sciences
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    • v.15 no.2
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    • pp.245-252
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    • 2020
  • Unexpected equipment defects can cause a huge economic losses in the society at large. Although condition monitoring can provide solutions, the signal processing algorithms must be developed to predict mechanical failures using data acquired from various sensors attached to the equipment. The signal processing algorithms used in a condition monitoring requires high computing efficiency and resolution. To improve condition monitoring on a wireless sensor network(WSN), data visualization can maximize the expressions of the data characteristics. Thus, this paper proposes the extraction of visual feature from temperature data over time using condition monitoring based on a WSN to identify environmental conditions of equipment in a large-scale infrastructure. Our results show that time-frequency analysis can visually track temperature changes over time and extract the characteristics of temperature data changes.

Control of Laser Parameter for Precision Line Processing (미세 선가공을 위한 레이저 변수 제어)

  • Kim, Y.S.;Choi, E.S.;Shin, Y.J.
    • Laser Solutions
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    • v.10 no.1
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    • pp.11-17
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    • 2007
  • We presented the proper laser processing conditions for the capillary line marking, which could be applied for the fabrication of injection needles. With changing the parameters such as lamp current, duty cycle and beam amplification factor of beam expander, we evaluated the processing performance considering amount of dross, processing efficiency and processed linewidth in the sample. We could carry out the proper line marking at the condition of 70% lamp current, duty cycle of 7-10% and 6-times amplification of beam diameter. To perform efficient line processing, the utilization of duty cycle of 12% at 80% lamp current was also preferred.

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Implementation and Performance Evaluation of the System for Speech Services using VMEbus (VMEbus 를 이용한 음성 서비스 시스템의 구현 및 성능평가)

  • Kwon, Oh-Il;Kang, Kyung-Young;Kim, Tong-Ha;Rhee, Tae-Won
    • The Journal of the Acoustical Society of Korea
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    • v.15 no.1
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    • pp.93-101
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    • 1996
  • In this paper, we implement the system for speech processing to provide the subscribers who are using the telephone network with better speech services. We develop the specified board which is processing speech signal and devise the system which carries out storing and replaying the speech signal under the condition that one master board controls multiple DSP(Digital Signal Processing) boards using VME bus. We use CPU30 board as a maste board and develop SPM(Signal Processing Module) board as a DSP board and then evaluate performance of the system.

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Prediction of Microstructure evolutions during hot-working of AZ31 Mg alloy using Processing map (Processing map을 이용한 AZ31 Mg합금의 미세조직예측)

  • Lee, Byoung-Ho;Lee, Chong-Soo
    • Proceedings of the Korean Society for Technology of Plasticity Conference
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    • 2007.10a
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    • pp.31-34
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    • 2007
  • In this study, optimum processing condition of AZ31 Mg alloy was investigated utilizing processing map and constitutive equation considering microstructure evolution (dynamic recrystallization) during hot-working. A series of mechanical tests were conducted at various temperatures and strain rates to construct a processing map and to formulate the recrystallization kinetics and grain size relation. Dynamic recrystallization (DRX) was observed to occur revealing maximum intensity at a domain of $250^{\circ}C$ and 1/s. The effect of DRX kinetics on microstructure evolution was implemented in a commercial FEM code followed by remapping of the state variables. The volume fraction and grain size of deformed part were predicted using a modified FEM code and compared with those of actual hot forged one. A good agreement was observed between the experimental results and predicted ones.

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Contamination Level of Hygiene Indicator and Prevalence of Foodborne Pathogens in Retail Beef in Parallel with Market Factor

  • Kang, Il-Byeong;Kim, Dong-Hyeon;Jeong, Dana;Kim, Hyunsook;Seo, Kun-Ho
    • Food Science of Animal Resources
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    • v.38 no.6
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    • pp.1237-1245
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    • 2018
  • In this study, the contamination levels of hygienic indicators and foodborne pathogens in retail meat products were investigated in relation to the various market factors including processing temperature, processing area, and market type. Ground beef samples (n=80) were purchased from 40 meat markets and investigated for microbiological quality. Beefs processed below $20^{\circ}C$ had significantly lower numbers of total coliforms (TC) than these processed over $20^{\circ}C$ (2.01 vs. 2.79 log CFU/g; p<0.05). Interestingly, separation of processing area did not affect the contamination levels. Remarkably, the contamination levels of hygienic indicator differ among market types, indicating that not only processing condition but distribution structure that is directly related with storage period could affect the final microbiological loads of the meat products. In addition, the prevalences of Listeria monocytogenes (a psychrotroph), Enterococcus faecium, and Enterococcus faecalis were 7.5% (6/80), 10.0% (8/80), and 20.0% (16/80), respectively, which is irrelevant to market factors except meat products from wholesale markets where no L. monocytogenes were found among 30 samples. The results of this study indicate that the contamination level of hygiene indicator and foodborne pathogens in retail beef is more related with processing temperature and storage period than other environmental factors.

Persuasion Effects of Imagery Information Processing caused by Brand in Advertisement Design (광고디자인에 있어서 브랜드명에 의해 유발된 심상정보처리의 설득효과에 관한 연구)

  • Lee Jin-Ryeol;You Si-Cheon
    • Science of Emotion and Sensibility
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    • v.8 no.3
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    • pp.177-187
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    • 2005
  • This article examined how the amount of information presented in ad design affect consumer's evaluation on the ad Existing researches have mainly considered external information presented in the ad from the resource principle perspective. This study investigated how internal information processing such as imagery information processing caused by brand names moderates persuasion effects according to the amount of external information through two experiments. The experiments leave us the conclusion that brand names presented in the ads stimulate imagery information processing when surplus cognitive resources do exist and they lead ad recipients' evaluation to positive direction in prestige brand condition and to the contrary to negative direction in non-prestige brand condition. The results contribute to the direction of ad design in that ad needs not contain as muck product-related information as needed in order to increase persuasion effects in prestige brand condition. Rather, it's necessary to leave the room for internal information processing such as imagery information processing by well structured brand equity. On the contrary, non-prestige brand needs to contain explicit product-relevant information to exert a potent influence on a4 persuasion. We hope this study result is helpful for design direction of advertisement in order to heighten persuasion effects toward ad recipients.

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The study on the disk grinding using neural network and Input sensitivity analysis (신경망 및 입력인자 민감도 분석을 이용한 연삭디스크의 가공조건 예측에 관한 연구)

  • 이동규;유송민;이위로;신관수
    • Proceedings of the Korean Society of Machine Tool Engineers Conference
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    • 2004.04a
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    • pp.3-8
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    • 2004
  • When most manufacturing company produce grinding product operators decide grinding condition by experience and subjective judgment. The study on grinding manufacture have been developed to get the grinding condition with the same result when non-experienced or experienced worker work. The objective of this study is to develope the grinding condition and predict the result of grinding by neural network. Several discussions were made in following areas as; getting MRR with image processing, the architecture optimization of neural network with experiment design, analysis of the input neurons using sensitivity approach. The results showed that the developed approach was the best method in predicting grinding condition with respect to surface finish quality.

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Optimum Injection Molding Condition Search With Process Monitoring System (공정 모니터링 시스템을 이용한 최적 사출 조건 설정)

  • Kang, J.K.;Cho, Y.K.;Chang, H.K.;Rhee, B.O.
    • Transactions of Materials Processing
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    • v.16 no.1 s.91
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    • pp.54-60
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    • 2007
  • Optimum injection molding condition for a box mold was searched by the Response Surface Analysis(RSA) with the aid of process monitoring system(PMS). Process variables on the control panel of the injection molding machine such as barrel temperatures, screw speed profile, holding pressures, etc. cannot guarantee the uniformity of the material variables directly related with the state of the product in the mold cavity. In order to make sure the state of the resin in the cavity, pressures and temperatures in the cavity, runner and nozzle were monitored in the experiment with the PMS. To accomplish the consistency of the molding process, dependent variables such as the switchover point and holding time were searched with the PMS. With a proper objective function about deflection of the box-type product, the optimum injection molding condition was obtained.

A Study on Recognition of Operating Condition for Hydraulic Driving Members (유압구동 부재의 작동조건 식별에 관한 연구)

  • 조연상;류미라;김동호;박흥식
    • Journal of the Korean Society for Precision Engineering
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    • v.20 no.4
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    • pp.136-142
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    • 2003
  • The morphological analysis of wear debris can provide early a failure diagnosis in lubricated moving system. It can be effective to analyze operating conditions of oil-lubricated tribological system with shape characteristics of wear debris in a lubricant. But, in order to predict and recognize an operating condition of lubricated machine, it is needed to analyze and to identify shape characteristics of wear debris. Therefore, If the morphological characteristics of wear debris are recognized by computer image analysis using the neural network algorithm, it is possible to recognize operating condition of hydraulic driving members. In this study, wear debris in the lubricating oil are extracted by membrane filter (0.45 ${\mu}{\textrm}{m}$), and the quantitative values of shape parameters of wear debris are calculated by the digital image processing. This shape parameters are studied and identified by the artificial neural network algorithm. The result of study could be applied to prediction and to recognition of the operating condition of hydraulic driving members in lubricated machine systems.

On the Characteristics of the Droplet Formation from an Inkjet Nozzle Driven by a Piezoelectric Actuator (피에조 구동형 잉크젯 노즐에서의 미세 액적 형성 특성)

  • Shin, Pyung-Ho;Sung, Jae-Yong;Lee, Suk-Jong
    • Journal of the Korean Society of Visualization
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    • v.6 no.1
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    • pp.47-52
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    • 2008
  • The present study has focused on the characteristics of droplet formation from an inkjet nozzle driven by a piezoelectric actuator. As an operating fluid, ethylene glycol was used and the physical properties of it such as viscosity, surface tension, contact angle and shear stress were measured. During the experiments, various temperatures and driving voltages are imposed on a capillary tube. These conditions result in a proper drive condition or an overdrive condition. In case of the proper drive condition, an image processing technique is applied to measure the diameter of a single free drop. As a result, the size of droplet is increased when the driving voltage is increased from 160 V to 190 V at 25$^{\circ}C$ In the overdrive condition where temperature or driving voltage becomes higher than the proper drive condition, satellites and the misdirected jets happen.