• 제목/요약/키워드: Operation Set Time

검색결과 531건 처리시간 0.027초

다양한 실내 환경에서의 $CO_2$ 농도 변화 분석 연구 (A Study on the Analysis of $CO_2$ Concentration Variation According to the Indoor Space Condition Changes)

  • 안광훈;권종원;김규식;김희식
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2009년도 정보 및 제어 심포지움 논문집
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    • pp.347-349
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    • 2009
  • Air quality of indoor space environment is affected by various pollutants like as particles and chemical stuffs. The indoor air pollution affects directly the human respiration organs to cause consequently unpleasant mental status. The $CO_2$ concentration level is one of the harmful components of air pollutants. Major factor to increase the $CO_2$ concentration level is the people's breath amount in indoor. The car exhaust gas diffused from the around road also has strong affect on $CO_2$ concentration. There are some other reasons to affect the $CO_2$ concentration change, such as, real-time change of the population movement, closeness to the indoor air flow inlet window and changes in road car traffic amount. A remote monitoring system to measure environmental indoor air pollution concerning on the $CO_2$ concentration was studied and installed realized set-up model. Zigbee network configuration was applied for this system and the $CO_2$ concentration data were collected through USN network. A software program was developed to assure systematic analysis and to display real-time data on web pages. For the experimental test various condition was set up, like as, window opening, stopping air condition operation and adjusting fan heater work, etc. The analysis result showed the relation of various environmental conditions to $CO_2$ concentration changes. The causes to increase $CO_2$ concentration were experimentally defined as windows closing, the stopping air condition system, fan heater operation. To keep the $CO_2$ concentration under the legally required ppm level in public access indoor space, the developed remote measurement system will be usefully applied.

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주유시간 조절이 가능한 기어 메커니즘 구동방식의 자동그리스주유기 개발 (The Development of Automatic Grease Lubricator Driven by Gear Mechanism with Controlled Operating Time)

  • 왕덕현;이규영;이상훈
    • 한국정밀공학회지
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    • 제23권2호
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    • pp.199-206
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    • 2006
  • Automatic grease lubricator is equipment that provides adequate amount of fresh grease constantly to the shaft and the bearings of machines. It minimizes the friction heat and reduces the friction loss of machines to the least. This research is to develop automatic grease lubricator by gear driven mechanism with controlled operation time. The ultimate design of this equipment is to lubricate an adequate amount of grease by a simple switch clicking according to the advanced set cycle. The backlash of the gear was minimized to increase the output power. To increase the power of gear mechanism, the binding frequency and the thickness of the coil were changed. To control the rotating cycles of the main shaft according to its set numbers, different resistance and chips were used to design the circuit to controls electrical signals with pulse. The body of the lubricator was analyzed by stress analysis with different constructed angle. The stress analysis for differing loading pressures applied to the exterior body of grease lubricator due to the setup angle, was found that the maximum stress was distributed over the outlet part where the grease lubricator suddenly narrowed contracts. Digital mock-up was analyzed and the rapid prototyping(RP) trial products were tested with PCB circuit and grease. The evaluation of the outlet capacity for RP trial products was conducted, because the friction caused by the outlet on the wall surface was an important factor in the operation of the equipment. Finally, the finishing process was applied to decrease the roughness of the surface to a comparable level and was able to test the performance examination for the product.

요추부 후측방 유합술에서 골편대체물로서 황산칼슘의 효과에 대한 연구 (Efficacy of Calcium Sulfate Pellets as Bone Graft Substitute in Lumbar Posterolateral Fusion - Preliminary Report -)

  • 이승구;김충현;정진환;백광흠;김재민;오석전
    • Journal of Korean Neurosurgical Society
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    • 제30권5호
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    • pp.605-610
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    • 2001
  • Objective : The authors investigated the efficacy of the calcium sulfate(OsteoSet$^{(R)}$ pellets) as an autograft extender when used to perform posterolateral lumbar fusions. Patients and Methods : Twenty patients who underwent lumbar posterolateral arthrodesis for various spinal diseases between October 1999 and March 2000 were evaluated. Arthrodesis was performed by transpedicular screw fixation and bone grafting with a mixture of autograft + calcium sulfate in a 1 : 1 ratio. At time intervals of 1, 2, 3, and 6 months, postoperative radiographs were obtained to review the resorption of calcium sulfate and the evidence of fusion. A modified Lenke scale was used to assess the status of the fusion. Results : At 2 months after operation, the average modified Lenke scale score for the OsteoSet$^{(R)}$ pellets group was 3.8. However at 6 months after operation, the average modified Lenke scale score for the OsteoSet$^{(R)}$ pellets group was 1.8. Resorption of calcium sulfate pellets was revealed in all cases at 6 months after surgery. Conclusion : It is presumed that a combination of calcium sulfate and autograft can play a role as an effective autograft extender in the posterolateral spinal fusion.

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풍량 및 운전시간 제어 방폭 배풍기 인버터 단자함 개발에 관한 연구 (A Study on the development of Explosion-proof type's the terminal box of the ventilator with the control of wind volume and operating time)

  • 유동주
    • 융합정보논문지
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    • 제8권6호
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    • pp.187-192
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    • 2018
  • 본 논문은 풍량 및 운전시간을 제어할 수 있는 방폭 타입 배풍기의 인버터 단자함 연구에 관한 것이다. 국내에서는 열악한 환경에서 작업 시에 풍량 및 운전 시간을 조정할 수 있는 배풍기가 없는 실정이다. 유해가스 및 폭발 위험성이 있는 환경에 적정한 방폭 배풍기의 운전 시간과 풍량을 제어할 수 있는 방폭 단자함을 제작하는 것이 목적이다. 2개의 방폭형 스위치를 사용하여 운전시간을 1 시간, 3 시간, 그리고 연속 시간으로 운전할 수 있도록 하였고, 유도전동기 회전 속도는 2000rpm, 2600rpm, 그리고 3000rpm으로 3 단계로 설정하여 풍량 제어하였다. 실험한 모터는 1/2 마력 3상 유도전동기 사용하였으며 풀 브리지 인버터를 제작하여 원하는 풍량과 운전시간 설정할 수 있도록 연구하였다.

Real-time prediction on the slurry concentration of cutter suction dredgers using an ensemble learning algorithm

  • Han, Shuai;Li, Mingchao;Li, Heng;Tian, Huijing;Qin, Liang;Li, Jinfeng
    • 국제학술발표논문집
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    • The 8th International Conference on Construction Engineering and Project Management
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    • pp.463-481
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    • 2020
  • Cutter suction dredgers (CSDs) are widely used in various dredging constructions such as channel excavation, wharf construction, and reef construction. During a CSD construction, the main operation is to control the swing speed of cutter to keep the slurry concentration in a proper range. However, the slurry concentration cannot be monitored in real-time, i.e., there is a "time-lag effect" in the log of slurry concentration, making it difficult for operators to make the optimal decision on controlling. Concerning this issue, a solution scheme that using real-time monitored indicators to predict current slurry concentration is proposed in this research. The characteristics of the CSD monitoring data are first studied, and a set of preprocessing methods are presented. Then we put forward the concept of "index class" to select the important indices. Finally, an ensemble learning algorithm is set up to fit the relationship between the slurry concentration and the indices of the index classes. In the experiment, log data over seven days of a practical dredging construction is collected. For comparison, the Deep Neural Network (DNN), Long Short Time Memory (LSTM), Support Vector Machine (SVM), Random Forest (RF), Gradient Boosting Decision Tree (GBDT), and the Bayesian Ridge algorithm are tried. The results show that our method has the best performance with an R2 of 0.886 and a mean square error (MSE) of 5.538. This research provides an effective way for real-time predicting the slurry concentration of CSDs and can help to improve the stationarity and production efficiency of dredging construction.

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무선 센서 네트워크에서 빠른 코드분배를 위한 다수분배자 선정 방법 (A Multiple-Disseminators Determining Mechanism for Fast Code Dissemination in Wireless Sensor Networks)

  • 김미희;홍준석
    • 한국IT서비스학회지
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    • 제10권2호
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    • pp.247-257
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    • 2011
  • In this paper, we propose a multiple-disseminators determining mechanism for Efficient Code Dissemination with low-delay(ECoDi) for wireless sensor networks (WSN). Code dissemination is in the spotlight as an important research issue since sensor nodes are necessary for updating new software remotely or fixing bugs dynamically. In particular, the time factor for code dissemination is the most important factor in order that the normal operation of nodes can be continuously performed as soon as finishing the dissemination. For this factor, ECoDi determines the set of disseminators through regression analysis based on the size of distributed code and the time of past unicasts and broadcasts. Then it transmits the entire code as a unicast to multiple disseminators, and the disseminators broadcast the code to the remaining neighbor nodes. Performance results on a testbed show that ECoDi reduces dissemination time significantly compared to a conventional scheme.

광섬유를 이용한 위상 배열 안테나 (Optically Driven Phased Array Antenna)

  • 김태선;서철헌
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1998년도 추계학술대회 논문집 학회본부 C
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    • pp.981-983
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    • 1998
  • In this paper, we present theoretical designs for a beam steering phased array antenna that uses a true time delay optical feeder. A variable true time delay is achieved by employing one tunable laser source and high dispersion fibers with different length. The wavelength tunable optical carrier propagation in a high-dipersion fiber realizes a true time delay, with the steering direction set by a single voltage controlling the wavelength. Beamsteering of a phased array antenna is obtained by controlling the tunable laser source. An employment of a high dispersion fiber response shows wide-band operation of beem steering antenna system.

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LED TV 스피커 프레임용 사출 성형공정 구현에 관한 실험적 연구 (Experimental Study on implementation of injection molding process for speaker frame in LED TV)

  • 이선곤;김상현
    • 한국기계가공학회지
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    • 제12권5호
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    • pp.94-101
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    • 2013
  • Injection molding process is one of the most important methods to produce plastic parts with high efficiency and low cost. The objective of this study is to implement the best plastic injection molding process for LED TV speaker frame. Moldflow analysis and simulation of plastic injection molding process were carried out in order to predict optimal modeling operation conditions and then injection molded part was produced various type of resin temperature, filling time and injection pressure variation. the result was that the best injection molding condition is set as 60bar pressure, 2sec filling time and $310^{\circ}C$ degree. The study result would be useful to variety of plastic injection molding process.

이동형 국소 분무장치용 전자 밸브와 노즐 조합 작동특성 (Operating Performance of Solenoid Valve and Nozzle Sets for Target Selectable Sprayers)

  • 서상룡;김항오;김영태;최영수;유수남
    • Journal of Biosystems Engineering
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    • 제31권1호
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    • pp.39-45
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    • 2006
  • Fundamental informations on performance of sets of solenoid valve and nozzle were necessary to develop a target selectable spraying system. The experiments were performed for the sets of solenoid valves and flat spraying nozzles at 3 levels of the operating pressures, and the obtained results are as follows; Rise time of the system pressure to reach up to 90% of the operating pressure after the valve turned was affected by nozzle size and operating pressure. Maximum overshoot of the system pressure was about 170% not affected by the sets of valve and nozzle and operating pressure. The system pressure after its settle down within 5% of the set pressure showed good uniformity in any condition of the experiment as less as 2.3% of its coefficient of variation. Time requirement to lower the system pressure down to 50% after the valve power turned off was affected by valve and nozzle set and operating pressure.

Seismic reliability assessment of base-isolated structures using artificial neural network: operation failure of sensitive equipment

  • Moeindarbari, Hesamaldin;Taghikhany, Touraj
    • Earthquakes and Structures
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    • 제14권5호
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    • pp.425-436
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    • 2018
  • The design of seismically isolated structures considering the stochastic nature of excitations, base isolators' design parameters, and superstructure properties requires robust reliability analysis methods to calculate the failure probability of the entire system. Here, by applying artificial neural networks, we proposed a robust technique to accelerate the estimation of failure probability of equipped isolated structures. A three-story isolated building with susceptible facilities is considered as the analytical model to evaluate our technique. First, we employed a sensitivity analysis method to identify the critical sources of uncertainty. Next, we calculated the probability of failure for a particular set of random variables, performing Monte Carlo simulations based on the dynamic nonlinear time-history analysis. Finally, using a set of designed neural networks as a surrogate model for the structural analysis, we assessed once again the probability of the failure. Comparing the obtained results demonstrates that the surrogate model can attain precise estimations of the probability of failure. Moreover, our proposed approach significantly increases the computational efficiency corresponding to the dynamic time-history analysis of the structure.