Air compressor is an important facility with electric power in the industry. However, because of the noise and vibration of air compressor and is installed outside the building management difficulty. In this study, MCP (Micro Control Processor) to remote monitoring of the air compressor via the compressed air through improved quality and allows stable maintenance were designed. So, increase the productivity improvement of energy-saving effect can be obtained. Remote real-time information stored on your PC to manage air compressor equipment was higher reliability. Monitoring system is developed in this study was applied to embedded systems. It is easy to install air compressor, and low maintenance costs was to raise the economic impact.

Location based service and AR(Augmented Reality) techniques have been one of the most important areas in current computer games and mobile application. This paper presents GPU(Graphics Process Unit) based image recognition system for outdoor games and mobile application. In learning stage, we extract features from input image sequence and convert them into meta information in database. User captures then a query image that is sent to GPU based server system. The proposed system build a descriptor codebook using BRISK and SURF descriptors, and employs codebook with re-ranking information based on homography.

본 연구는 조사료의 반추위 발효가 진행됨에 따른 볏짚 표면에 부착된 섬유소 분해 박테리아의 군집변화와 섬유소 소화율을 비교 관측하기 위하여 볏짚의 in situ 반추 발효를 실시하였다. 그리고 부착 박테리아의 군집 변화를 측정하기 위하여 RT-PCR 기법을 이용하여 F. succinogenes. R. albus와 R. flavefaciens의 군집을 모니터링 하였다. 본 연구를 수행하기 위하여 in situ 볏짚 발효를 0. 2, 4, 8, 12, 24시간 실시하였을 때 반추위내 볏짚의 in situ 분해는 발효 시간이 진행됨에 따라 가속화되어 발효 8~12시간 사이에 최고 분해 속도를 나타내었으나, F. succinogenes, R. flavefaciens과 R. albus는 모두 발효 0~1시간 사이에 볏짚 표면에 부착이 80% 이상 완료되어 이후 발효가 계속 진행되는 동안 일정 수준의 군락을 유지하는 것이 발견되었다. 그리고 반추위내 유입된 조사료의 표면에 초기 부착 과정을 관찰하기 위하여 0, 5, 10, 30 및 60분 간격으로 볏짚의 in situ 샘플을 채취하여 조사하였을 때 F. succinogenes, R. flavefaciens 및 R. albus의 군락 모두 볏짚이 반추위 유입 후 5분 내에 상당량의 수가 부착함을 발견하였다. 또한 조사료의 반추위 발효 용이성에 따른 섬유소 분해 박테리아의 부착 정도를 관찰하기 위하여 0, 2, 4 및 8% NaOH를 처리한 볏짚을 12 및 24시간 in situ 배양 볏짚의 소화율과 부착 박테리아의 군집 변화를 관측하였을 때, 볏짚의 NaOH 처리 농도가 높아짐에 따라 in situ 소화율이 증가하였으며, 동시에 부착된 박테리아 군집의 증가 경향이 F. succinogenes, R. flavefaciens 및 R. albus의 3균주 모두 배양 12시간에 나타났으나 배양 24시간에서는 각기 다른 양상을 나타냈다.따라서 본 연구결과는 반추위내 섬유소 발효과정에서 섬유소 분해 박테리아의 부착은 조사료의 반추위 유입 초기에 반드시 이루어지고, 발효 시간이 진행됨에 따라 조사료 표면에 안정된 군락을 형성하며, 섬유소 분해가 가속화된다는 사실을 보여 주었다.

In industrial facilities sites, the conventional method determining the earthquake magnitude (M) using earthquake ground-motion records is generally not applicable due to the poor quality of data. Therefore, a new methodology is proposed for determining the earthquake magnitude in real-time based on the amplitude measures of the ground-motion acceleration mostly from S-wave packets with the higher signal-to-ratios, given the Vs30 of the site. The amplitude measures include the bracketed cumulative parameters and peak ground acceleration (As). The cumulative parameter is either CAV (Cumulative Absolute Velocity) with 100 SPS (sampling per second) or BSPGA (Bracketed Summation of the PGAs) with 1 SPS. The arithmetic equations to determine the earthquake magnitude are derived from the CAV(BSPGA)-As-M relations. For the application to broad ranges of earthquake magnitude and distance, the multiple relations of CAV(BSPGA)-As-M are derived based on worldwide earthquake records and successfully used to determine the earthquake magnitude with a standard deviation of ±0.6M.

Workers are avoiding production/manufacturing sites due to the poor working environment and concern over safety. Small and medium-sized businesses introduce new equipment to secure safety in the production site or ensure effective process management by introducing the real-time monitoring technique for existing equipment. The importance of real-time monitoring of equipment and process in the production site can also be found in the ANSI/ISA-195 model. Note, however, that most production sites still use paper-based work slip as a process management technique. Data reliability may deteriorate because information on the present condition of the production site cannot be collected/analyzed properly due to manual data writing by the worker. This paper introduces the monitoring and process management technique based on a direct facility interface to secure safety in the field by improving the poor working environment and enhance there liability and real-time characteristics of the production data. Since the data is collected from equipment in real-time directly through the SIB-based interface and PLC-based interface, problems associated with workers’ manual data input are expected to be solved; safety can also be improved by enhancing workers’ attention to work by minimizing workers’ injuries and disruption.

The aim of this study is to design an intelligent pattern-based real-time trading system (PRTS) using rough set analysis of technical indicators, dynamic time warping (DTW), and genetic algorithm in stock futures market. Rough set is well known as a data-mining tool for extracting trading rules from huge data sets such as real-time data sets, and a technical indicator is used for the construction of the data sets. To measure similarity of patterns, DTW is used over a given period. Through an empirical study, we identify the ideal performances that were profitable in various market conditions.

Cell-free fetal RNA has been highlighted as useful tools for the fetal sex determination or other genetic inherent disorder. However, there is no knowledge about the sex determination using cell free fetal RNA in bovine field. Thus, the present study aimed to evaluate the presence of transcripts of DDX3Y, USP9Y and ZRSR2Y genes in maternal plasma of pregnant cows to determine the sex of the fetus using real-time quantitative polymerase chain reaction assay, and verify its accuracy, sensitivity and specificity compared with the molecular testing and the calf sex at birth. Transcripts of USP9Y and DDX3Y genes were expressed in the all plasma of males and females both the control group and the experimental group. However, ZRSR2Y gene was matched up with the molecular testing and the true sex in control group and has an overall accuracy of 82.6%, a sensitivity of 75%, and a specificity of 100% in experimental group. Therefore, these results indicated that real time PCR technique, as a noninvasive and cost-efficient method, is possible to determination fetal sex in the bovine species using circulating cell free RNA in maternal plasma and especially ZRSR2Y gene could be a good candidate for the RNA based sex determination work.

본 연구에서는 한국해양대학교 실습선 한바다를 이용하여 선박의 입․출항 및 약 150 rpm의 정속 운항 할 때 주기관에서 배출되는 배기가스를 실시간 계측하였다. 실측 결과 질소산화물의 농도는 정속 운항시 800 ppm 에서 1,000 ppm 사이인데 반해, 입․출항시에는 210 ppm 에서 1,230 ppm 까지 큰 범위에서 값이 변화하였다. 일산화탄소의 농도 역시 정속운항 상태 보다 입․출항시 측정값의 변화가 크게 나타났다. 이러한 결과는 입․출항시 가능한 한 주기관의 부하변동이 급격히 발생되지 않도록 하는 선박 조종 스킬이 필요하다는 것을 의미한다. 또한, 배기가스 저감 기술의 적용에 있어 입․출항시와 정속 운항할 때 그 차이를 고려할 필요가 있다는 것을 나타낸다.

최근 지구물리 물리탐사 분야에서 경사각과 방위각 정보는 시추공 물리검층 및 물리탐사 자료보정을 위한 시추공 편차검층, 이동형 실시간 자료획득 시스템, 기타 지구물리 모니터링 시스템 등 다양하게 활용되면서 그 중요성이 높아지고 있다. 특히 최근 셰일가스의 개발이 가능하게 한 방향시추 기술에서도 경사각과 방위각 정보는 필수일 정도로 그 응용범위가 매우 넓다. 따라서 여러 분야에 응용될 수 있는 경사각과 방위각 측정 시스템의 초소형 옥외 저전력 운용이 절실해졌다. 본 논문에서는 최신 CMOS 저전력, 고성능 MCU 및 멤스(MEMS) 자세방위기준장치(AHRS)를 도입하여 초소형, 저전력으로 제작된 다용도 야외시험용 실시간 경사각과 방위각 연속 측정 시스템 개발 연구의 결과를 제시하고자 한다. 시스템은 최소 지름 42 mm의 존데 내에 설치될 수 있도록 초슬림 형태로 제작되었으며 실시간 데이터 획득이 가능할 뿐만 아니라 엔코더, DGPS 연동으로 운용 확장이 가능하여 다양한 응용이 기대된다.

The chigger mite, Leptotrombidium pallidum, is widely distributed throughout South Korea and is a major vector for Orientia tsutsugamushi, the causative agent of scrub typhus. In this study, the genome size of the chigger mite was estimated to determine the necessary coverage level prior to whole genome sequencing. Cloning of EF1α and RpS3 as putative single copy reference genes were conducted and their partial sequences were determined. Using the serially diluted reference genes with known amount as standard templates, the weight of a single copy of the genome was predicted by a method based on quantitative real time PCR. The average genome length estimated from the weight using two methods was 191 ± 7 Mb. When the genome size of other arthropods (Drosophila melanogster, Apis mellifera and Tetranychus urticae), with their genome analysis completed, were estimated using the same method and compared with actual values, the estimation accuracy was 79.8-98.9%, suggesting our current estimation of L. pallidum genome size is reliable. The estimated L. pallidum genome size is in a similar range to other Acariform mites, such as the dust mite and scabie mite, but appoximately 10-fold smaller compared to the deer tick, which belongs to Parasitiform. Our finding provides key information for further genome sequencing and understanding of mite genome evolution.

Deformed wing virus (DWV) is a serious pathogen of the honeybee, Apis mellifera L., vectored by the parasitic mite Varroa destructor. The virus is associated with wing deformity in symptomatic bees, and premature death and reduced colony performance in asymptomatic bees. In present study a novel micro PCR-based detection method, termed as ultra-rapid real-time PCR (UR-RT PCR), was developed for the fast and quantitative detection of DWV in honeybee. A specific detection primer set (DWV-UR-F3/R3) was used for the amplification of an unique 133-bp DNA fragment of DWV with a rapid real -time PCR system, GenSpector® TMC-1000, which proceed the cycling with fast heating and cooling rates and a small reaction volume. We showed that this method is able to detect DWV with DNA conditions, artificial recombinant DNA, pBX-DWV479 as well as with virus-infected honeybee samples. In application to a DWV-infected honey bee, the minimum detection time was 8 min 50 seconds under 30 cycles and 10min 11 seconds including melting temperature analysis. This optimizing detection method is one of the fastest real-time PCR-based diagnostic tools and is available to be applied to use for the detection in the field and of various persistency pathogens.

The bumblebee, Bombus terrestris, has played an important role as one of the alternative pollinators since the outbreak of honeybee collapse disorder. Recently, pathogens and parasites such as viruses, bacteria and mites, which affect the life span and fecundity of their host, have been discovered in B. terristris. In order to detect the microsporidian pathogen, Nosema Spp. in the field populations of B. terristris, we collected adults and isolated their genomic DNA for diagnostic PCR. The PCR primers specific for Nosema Spp. were newly designed and applied to gene amplification for cloning. Only small subunit ribosomal RNA(SSU rRNA) gene of N. ceranae was successfully amplified and sequenced among examined genes, which indicates that N. ceranae mainly infects the examined field population of B. terristris. To detect of SSU rRNA gene, two regions of SSU rRNA gene were selected by primary PCR analysis and further analyzed in quantitative real-time PCR(qRT-PCR). The qRT-PCR analysis demonstrated that SSU rRNA of N. ceranae was detected at concentrations as low as 0.85 ng/μl genomic DNA. This result suggests that the detection via qRT-PCR can be applied for the rapid and sensitive diagnosis of N. ceranae infection in the field population as well as risk assessment of B. terristris.

The bumblebee, Bombus terrestris, has played an important role as one of the alternative pollinators. Recently, pathogens and parasites affect the life span and fecundity of their host and been isolated from B. terristris. In order to detect viral infection in the field populations of B. terristris, we collected adults and isolated total RNA for reverse transcriptase-polymerase chain reaction (PCR). The PCR primers specific for several viruses such as deformed wing virus, Israel acute paralysis virus, Kashmir bee virus and black queen cell virus (BQCV) were newly designed and applied to gene amplification for cloning. Only BQCV was successfully amplified and sequenced, which suggests that BQCV may mainly infects the examined field population of B. terristris. To detect of capsid protein gene of BQCV, 4 selected regions were analyzed by primary PCR and 1 region was successfully amplified, which was further analyzed in quantitative real-time PCR (qRT-PCR). The qRT-PCR analysis demonstrated that BQCV was detected at concentrations as low as 0.1ng/μl total RNA. This result suggests that the detection via qRT-PCR can be applied for the rapid and sensitive diagnosis of BQCV infection in the field population as well as risk assessment of B. terristris.

This work was conducted to assess the use of Near-infrared reflectance spectroscopy (NIRS) as a technique to analyze nutritional constituents of Distillers dried grain with solubles (DDGS) and corn quickly and accurately, and to apply an NIRS-based indium gallium arsenide array detector, rather than a NIRS-based scanning system, to collect spectra and induce and analyze calibration equations using equipment which is better suited to field application. As a technique to induce calibration equations, Partial Least Squares (PLS) was used, and for better accuracy, various mathematical transformations were applied. A multivariate outlier detection method was applied to induce calibration equations, and, as a result, the way of structuring a calibration set significantly affected prediction accuracy. The prediction of nutritional constituents of distillers dried grains with solubles resulted in the following: moisture (R2=0.80), crude protein (R2=0.71), crude fat (R2=0.80), crude fiber (R2=0.32), and crude ash (R2=0.72). All constituents except crude fiber showed good results. The prediction of nutritional constituents of corn resulted in the following: moisture (R2=0.79), crude protein (R2=0.61), crude fat (R2=0.79), crude fiber (R2=0.63), and crude ash (R2=0.75). Therefore, all constituents except for crude fat and crude fiber were predicted for their chemical composition of DDGS and corn through Near-infrared reflectance spectroscopy.

Real Time PCR을 이용한 벼 흰잎마름병균의 밀도를 측정할 수 있는 새로운 방법을 개발하였다. Real Time PCR을 이용하여 벼 흰잎마름병을 예찰하기 위하여 TaqMan MGB probe를 이용한 프라이머인 Xan_PahgeF & Xan_PahgeR primer와 Xan_Pahge FAM MGB probe를 제작하였으며, 높은 특이성이 인정되었다. 병원균 배양액, 벼 흰잎마름병원균의 DNA, 병원세균에 오염된 물에서도 효과적으로 검출이 되었다. 농수로물이나 관개수에서 벼 흰잎마름병균의 밀도를 측정할 때 정량 PCR의 저해인자 제거 후 신속하게 벼 흰잎마름병균의 밀도를 측정할 수 있다.

On the ultra-high speed broadband internet network transferring the massive multi-media data, the rapid restoration is very important. The online game industry is also fast growing with supporting of the real-time online network game. The online traffic on the internet network is steadily increasing. The optical based broadband convergence network provides these kinds of services. It is a form of multilayer network which loads the IP traffic on the lower optical DWDM. The failure of the link and node on this kind of network causes the significant loss of data. To solve this kind of problem, the new approach over the conventional one is necessary. It turned out to be its failure recovery thirty-five percent faster

Bombus terrestris has played an important role in the pollination in agricultural fields for the alternatives in colony collapsing in the honeybee. Recently, some pathogens or parasites such as viruses, bacteria, mites have been discovered in B. terristris, which affects its life span and fecundity. In order to detect a microsporidian, Nosema apis. in the field population, we collected honeybees and isolated genomic DNA. PCR primers specific for 16S ribosomal RNA (16S rRNA) were synthesized and applied to gene amplification for cloning and quantitative real-time PCR (qRT-PCR). The amplified gene was cloned and sequenced to confirm the 16S rRNA gene. qRT-PCR analysis showed the detection limit of 16S rRNA of Nosema apis was approximately 0.5 ng/μl genomic DNA. This result suggests that detection via qRT-PCR can be applied for the diagnosis of pathogen infection.

Real-time data reduction pipeline for the Korea Microlensing Telescope Network (KMTNet) was developed by Korea Astronomy and Space Science Institute (KASI). The main goal of the data reduction pipeline is to find variable objects and to record their light variation from the large amount of observation data of about 200 GB per night per site. To achieve the goal we adopt three strategic implementations: precision pointing of telescope using the cross correlation correction for target fields, realtime data transferring using kernel-level file handling and high speed network, and segment data processing architecture using the Sun-Grid engine. We tested performance of the pipeline using simulated data which represent the similar circumstance to CTIO (Cerro Tololo Inter-American Observatory), and we have found that it takes about eight hours for whole processing of one-night data. Therefore we conclude that the pipeline works without problem in real-time if the network speed is high enough, e.g., as high as in CTIO.