• Journal of Korean Society of Water and Wastewater
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• v.12 no.4
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• pp.70-77
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• 1998

On this study, removal ability of nitrate was researched in the anaerobic zone arounding collection pipes in landfill. Stability state time of column was after 20 days and 20~90ml/day in flux. In this time, removal rate of phosphate was about 80%. Removal ability and average removal rate of CODCr is $36g/m^3{\cdot}d$, 25.3%, respectively. It was that reactor is able to remove more nitrate. Maximum nitrate removal ability was $4.83g/m^3{\cdot}d$.

• The Korean Journal of Nuclear Medicine Technology
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• v.13 no.1
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• pp.116-119
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• 2009

Background: Preanalytical factors can affect reliability of hormone assay results. Adrenocorticotropic hormone (ACTH) in blood is considered highly unstable because of proteolytic degradation, so storage of blood samples on ice until analysis is recommended. In clinical practice, however, this procedure may present logistical problems because most samples for ACTH measurement must be shipped from the place of sample collection to the laboratory. Therefore, we studied the impact of time and temperature before plasma separation and analysis on the results of ACTH assays. Methods: A total number of 22 patients were enrolled in this study. We obtained 2 blood samples. ACTH concentrations were 35~126 pg/mL. ACTH concentrations were measured by immunoradiometric assay (IRMA) using commercial kits (CIS Biointernational, Gif-sur-Yvette, France). Results: ACTH levels showed a significant difference between the samples of $22^{\circ}C$ EDTA and $4^{\circ}C$ EDTA. Measured ACTH concentrations significantly decreased with time before freezing at $-20^{\circ}C$. ACTH levels showed no significant difference between the groups of after storage for 24 hr without centrifugation at $22^{\circ}C$ and $4^{\circ}C$. Conclusion: We recommend that blood samples be obtained on pre-chilled EDTA collection tubes. The shortest possible time between sample collection and processing is always the best laboratory practice.

• Journal of Korean Society of Transportation
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• v.20 no.4
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• pp.151-162
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• 2002

The object of this study is to develop an operating time prediction model for expressways using toll collection data. A Prediction model based on modular neural network model was developed and tested using real data. Two toll collection system(TCS) data set. Seoul-Suwon section for short range and Seoul-Daejeon section for long range, in Kyongbu expressway line were collected and analyzed. A time series analysis on TCS data indicated that operating times on both ranges are in reasonable prediction ranges. It was also found that prediction for the long section was more complex than that for the short section. However, a long term prediction for the short section turned out to be more difficult than that for the long section because of the higher sensitivity to initial condition. An application of the suggested model produced accurate prediction time. The features of suggested prediction model are in the requirement of minimum (3) input layers and in the ability of stable operating time prediction.

• Journal of the Korean Data and Information Science Society
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• v.27 no.4
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• pp.979-991
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• 2016

Measuring nation images was a challenging task when employing offline surveys was the only option. It was not only prohibitively expensive, but too much time-consuming and therefore unfitted to this rapidly changing world. Although demands for monitoring real-time nation images were ever-increasing, an affordable and reliable solution to measure nation images has not been available up to this date. The researcher in this study developed a semi-automatic ontology construction algorithm, named "double-crossing double keyword collection (or DCDKC)" to measure nation images from Wikipedia in real-time. The ontology, WikiOnto, can be used to reflect dynamic image changes. In this study, an instance of WikiOnto was constructed by applying the algorithm to the big-three exporting countries in East Asia, Korea, Japan, and China. Then, the numbers of page views for words in the instance of WikiOnto were counted. A collection of the counting for each country was compared to each other to inspect the possibility to use for dynamic nation images. As for the conclusion, the result shows how the images of the three countries have changed for the period the study was performed. It confirms that DCDKC can very well be used for a real-time nation-image monitoring system.

• International conference on construction engineering and project management
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• 2009.05a
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• pp.30-31
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• 2009

Early detection of schedule delay in field construction activities is vital to project management. It provides the opportunity to initiate remedial actions and increases the chance of controlling such overruns or minimizing their impacts. This entails project managers to design, implement, and maintain a systematic approach for progress monitoring to promptly identify, process and communicate discrepancies between actual and as-planned performances as early as possible. Despite importance, systematic implementation of progress monitoring is challenging: (1) Current progress monitoring is time-consuming as it needs extensive as-planned and as-built data collection; (2) The excessive amount of work required to be performed may cause human-errors and reduce the quality of manually collected data and since only an approximate visual inspection is usually performed, makes the collected data subjective; (3) Existing methods of progress monitoring are also non-systematic and may also create a time-lag between the time progress is reported and the time progress is actually accomplished; (4) Progress reports are visually complex, and do not reflect spatial aspects of construction; and (5) Current reporting methods increase the time required to describe and explain progress in coordination meetings and in turn could delay the decision making process. In summary, with current methods, it may be not be easy to understand the progress situation clearly and quickly. To overcome such inefficiencies, this research focuses on exploring application of unsorted daily progress photograph logs - available on any construction site - as well as IFC-based 4D models for progress monitoring. Our approach is based on computing, from the images themselves, the photographer's locations and orientations, along with a sparse 3D geometric representation of the as-built scene using daily progress photographs and superimposition of the reconstructed scene over the as-planned 4D model. Within such an environment, progress photographs are registered in the virtual as-planned environment, allowing a large unstructured collection of daily construction images to be interactively explored. In addition, sparse reconstructed scenes superimposed over 4D models allow site images to be geo-registered with the as-planned components and consequently, a location-based image processing technique to be implemented and progress data to be extracted automatically. The result of progress comparison study between as-planned and as-built performances can subsequently be visualized in the D4AR - 4D Augmented Reality - environment using a traffic light metaphor. In such an environment, project participants would be able to: 1) use the 4D as-planned model as a baseline for progress monitoring, compare it to daily construction photographs and study workspace logistics; 2) interactively and remotely explore registered construction photographs in a 3D environment; 3) analyze registered images and quantify as-built progress; 4) measure discrepancies between as-planned and as-built performances; and 5) visually represent progress discrepancies through superimposition of 4D as-planned models over progress photographs, make control decisions and effectively communicate those with project participants. We present our preliminary results on two ongoing construction projects and discuss implementation, perceived benefits and future potential enhancement of this new technology in construction, in all fronts of automatic data collection, processing and communication.

• Tunnel and Underground Space
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• v.19 no.1
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• pp.1-10
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• 2009

Site characterization for structural stability in rock masses mainly involves the collection of joint property data, and in the current practice, much of this data is collected by hand directly at exposed slopes and outcrops. There are many issues with the collection of this data in the field, including issues of safety, slope access, field time, lack of data quantity, reusability of data and human bias. It is shown that information on joint orientation, spacing and roughness in rock masses, can be automatically extracted from LIDAR (light detection and ranging) point floods using the currently available Split-FX point cloud processing software, thereby reducing processing time, safety and human bias issues.

• Applied Biological Chemistry
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• v.39 no.1
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• pp.67-69
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• 1996

Some physical properties and inorganic components of sap from sponge-gourd(Luffa cylindrica L.) were investigated for their changes affected as collection time. Huter valves, pH, turbidity and viscosity of the sap were not different. pH value was indicated at slightly alkalinity and decreased by culturing period. Potassium, calcium and magnesium were major inorganic components of the sap and podium, zinc and iron were minor components. Copper was not detected in open culturing and also manganes way not detected in all samples.

• Reproductive and Developmental Biology
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• v.34 no.1
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• pp.21-25
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• 2010

The purpose of this study was to investigate the effects of the collection time, co-culture and sperm penetration of canine oocytes on in vitro maturation and fertilization. The oocytes were cultured in TCM-199 media containing hormonal supplements (10% FCS, 10 IU/ml HCG, 10 IU/ml PMSG) at 5% $CO_2$, 95% air, $38^{\circ}C$. The in vitro maturation rate to MII stage of in vitro oocytes recovered from ovaries that collected at follicular, luteal and inactive phases of the reproductive phase for 44~72 hrs were 19.2%, 12.2%, and 6.0%, respectively. Follicular phases oocytes had a significantly higher in vitro maturation rate than oocytes collected at luteal and anestrus stage (p<0.05). The in vitro maturation rates to the MII stage of canine oocytes after 48 hrs of culture with glutathione, pyruvate, or glutathione + pyruvate were 12.5%, 10.7%, and 17.5%, respectively. This was higher than that in both alone or the combination of the two compared to the control group (19.0%). The sperm penetration rates of in vitro matured oocytes by fresh and frozen semen were 29/80 (36.3%) and 18/80 (22.5%), respectively. Although there are limited reports about canine oocytes co-culture and in vitro fertilization, our results on in vitro maturation is comparable to the results from other researches.

• Journal of information and communication convergence engineering
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• v.15 no.2
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• pp.79-84
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• 2017

In a cognitive radio network (CRN), cognitive radio users (CUs) should be powered by a small battery for their operations. The operations of the CU often include spectrum sensing and data transmission. The spectrum sensing process may help the CU avoid a collision with the primary user (PU) and may save the energy that is wasted in transmitting data when the PU is present. However, in a time-slotted manner, the sensing process consumes energy and reduces the time for transmitting data, which degrades the achieved throughput of the CRN. Subsequently, the sensing process does not always offer an advantage in regards to throughput to the CRN. In this paper, we propose a scheme to find an optimal policy (i.e., perform spectrum sensing before transmitting data or transmit data without the sensing process) for maximizing the achieved throughput of the CRN. In the proposed scheme, the data collection period is considered as the main factor effecting on the optimal policy. Simulation results show the advantages of the optimal policy.

• Journal of Korean Society of Rural Planning
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• v.19 no.3
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• pp.1-12
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• 2013

Climate change has increased the number of floods and inundation on farmland. Recently various mobile applications through inundation mapping, flood forecasts and evacuation routes have been developed for the prevention and reduction of flood damages. However, most of current prevention systems for farmland flooding are still web-based systems relying on the field survey which needs a lot of human and time resources although mobile devices has been rapidly improved and widely used. The purpose of this study is to design a mobile application for preventing and reducing farmland flood and inundation damages and collecting damage information in real time. We put advanced mobile device functions such as GPS, network communications, cameras into our system design. This system implement 2way communication and intuitive application that will increase information efficiency and decrease flood damage. Our design has been tested through previous flooding data of Jinju city in 2010.