An increase in oil and gas plants caused by development of process industry have brought into the increase in use of flammable and toxic materials in the complex process under high temperature and pressure. There is always possibility of fire and explosion of dangerous chemicals, which exist as raw materials, intermediates, and finished goods whether used or stored in the industrial plants. Since there is the need of efforts on disaster damage reduction or mitigation process, we have been conducting a research to relate explosion model on the background of real 3D terrain model. By predicting the extent of damage caused by recent disasters, we will be able to improve efficiency of recovery and, sure, to take preventive measure and emergency counterplan in response to unprepared disaster. For disaster damage prediction, it is general to conduct quantitative risk assessment, using engineering model for environmentaldescription of the target area. There are different engineering models, according to type of disaster, to be used for industry disaster such as UVCE (Unconfined Vapor Cloud Explosion), BLEVE (Boiling Liquid Evaporation Vapor Explosion), Fireball and so on, among them.we estimate explosion damage through UVCE model which is used in the event of explosion of high frequency and severe damage. When flammable gas in a tank is released to the air, firing it brings about explosion, then we can assess the effect of explosion. As 3D terrain information data is utilized to predict and estimate the extent of damage for each human and material. 3D terrain data with synthetic environment (SEDRIS) gives us more accurate damage prediction for industrial disaster and this research will show appropriate prediction results.
The study was conducted to improve the nutritive value of defatted rice polishing (DRP). DRP was treated with various concentrations of HCl, NaOH, $H_2O_2$ and Kemzyme-H $F^{(R)} and the effect on its chemical composition and nutritive value in broiler chicks was observed. The treatments levels of 0.4 N HCl, 0.2 N NaOH and 6% $H_2O_2$ were selected from many concentrations of HCl, NaOH and $H_2O_2$ tried earlier on DRP. The selection was made on the basis of release of nutrients from DRP. The Kemzyme-H $F^{(R)} was used at rate of 0.1% of DRP. The selected concentrations of HCl, NaOH, and $H_2O_2$ were then used for treatment of DRP that was used in biological experiments. Two hundred and forty, day-old Hubbard male broiler chicks (38-40 g) were randomly divided into 48 experimental units with five chicks each. Each chemically treated DRP was incorporated into broiler diets at 10, 20 or 30% levels replacing yellow corn from the control feed and thus sixteen experimental feeds were prepared. These feeds were randomly assigned to 48 experimental units such that there were three replicates of chicks on each diet. The results of the study suggest that DRP can be effectively used in broiler diets at 20% level. The best weight gain and feed conversion ratio were observed with diet containing 20% level of DRP treated with 6% $H_2O_2$. The diets containing 30% levels of treated DRP were uneconomical, as excess use of oil was required to compensate the energy needs of the birds.
Kim, Sun Young;Cha, Jae-Min;Kim, Junpil;Suh, Suk-Hwan;Sur, Hwal Won
Journal of the Korean Society of Systems Engineering
/
v.10
no.1
/
pp.1-15
/
2014
Refinery plant producing petroleum products from crude oil has significantly contributed to the creation of the national interests as a leading engineering industries. However, domestic Engineering Procurement Construction (EPC) companies are facing heavy competition for orders. Domestic EPC companies as EPC contractors are faced with some problems such as undertaking responsibility for FEED packages produced by other FEED companies. But domestic EPC contractors are unfamiliar to development and validation of FEED packages. It causes poor profitability and lower competitiveness of domestic companies. It is necessary for domestic companies to have capability to perform FEED activities in order to overcome these limitations instead of focusing on EPC phase after FEED phase. The systematic procedure is needed to perform the FEED activities, however, there are present difficulties on it due to the lack of experience in FEED packages development which require various engineering knowledge of chemical process, mechanics, electrics, instrumentation, civil engineering. This study has applied systems engineering method which is multi-disciplinary approach to derive and verify the solution to meet the customer's needs when the complex system is developed to task execution process development of FEED activities for refinery plant. The problems that may occur in the future were identified in advance by taking into account the various stakeholders and system context through the application of systems engineering. It helps to develop the task execution process systematically. The developed task execution process of FEED activities is planned to make effectiveness verified by engineering professionals experienced in FEED and continually enhance this process by field application.
Kim, Jinju;Lim, Youngcheon;Seol, Hyeonju;Jee, Cheolkyu;Hong, Youngseok
Journal of the Ergonomics Society of Korea
/
v.33
no.3
/
pp.203-214
/
2014
Objective: This study aims to examine the psychological effects of pilots caused by the environmental differences between actual and simulated flights by measuring biochemical stress level and subjective stress level. Background: Currently, the flight system of the air force suffers from several problems including a limited training area, increase of complex and tangled missions and rise in oil prices. In order to overcome these problems an L-V-C (Live, Virtual, Constructive) training system has been proposed as a solution. However, to establish the effective L-V-C training system, it is required to figure out the characteristics of each system first. Also we have to solve the problems which could occur when these systems are connected together. Method: In order to measure the biochemical stress level of pilots, we investigated the differences in cortisol responses after actual and simulated flight training separately. Meanwhile, we conducted the questionnaire survey of about 40 pilots to identify the subjective stress level of pilots. Results: There was significant difference in cortisol level between actual and simulated flight tasks. However, we found that there was no significant difference in pilots' feelings about two flight tasks. Conclusion: The results from this study can be used as basis for the further research on not only how to decrease linkage errors of the L system and the V system but also how to make the L-V training system more practical. Application: The results of the analysis might help to develop the Live-Virtual-Constructive (LVC) pilot training system.
Objectives : In this study, we investigated the biological activities such as anti-obesity using Samwondan ethanol extract (SWD). SWD is a complex with Salicornia herbacea Linnaeus, Saururus chinensis Baill and Houttuynia cordata Thunberg as the main raw material.Methods : The SWD was extracted 80% ethanol. 3T3-L1 preadipocytes were induced adipogenesis by differentiation media with SWD at 1 μg/mL, 10 μg/mL, and 100 μg/mL. Effect of SWD performed using MTT assay, oil red O staining (observation by microscope), and reverse transcription polymerase chain reaction. Also we measured production of triglyceride (TG), fatty acid, and acetyl-CoA carboxylase (ACC).Results : Non-cytotoxicity was in all test group from range of 1 μg/mL to 100 μg/mL on pre-adipocyte. The droplet and production of lipid were decreased significantly by the SWD. And TG was decreased by approximately 89%, 85% and 82%, upon the SWD treatment at concentration of 1 μg/mL, 10 μg/mL, and 100 μg/mL. Moreover, the SWD showed inhibitory effects on the expression of the C/EBP (CCAAT/enhaner binding protein)β, C/EBPα, and peroxisome proliferator-activated receptorγgenes in adipocytes. The SWD at 100 μg/mL concentration showed inhibitory effect on fatty acid production by 79%. Also ACC production were decreased dose-dependently.Conclusions : From the results above, we concluded that the SWD indicated significantly anti-obesity effects.
Korean oil and honey Yukwa has been paid attention as formal cake for traditional national seasons' holiday and religious service. Quality of Yukwa, however, has been maintained arbitrarily by each Yukwa manufacturer. Since even same Yukwa had severe differences in size, weight, and pattern, it has given the negative effect to the consumer. Yukwa industries need to setup the quantitative quality specifications instead of qualitative ones to maintain the uniformity of Yukwa quality. Efficient and economical inspection and process control system should be developed. In developing quality standards of Yukwa, features which can measure quality quantitatively in real time should be properly chosen. Existing quality features such as acidity, oxidization, hardness, viscosity, and texture were measured by the chemical or physical base destructive methods. Many research and developments have been performed in investigating and analyzing chemical transition states of those quality features as environment or storage condition changes. Most methods, however, require either off-line or complex treatment or time consuming process of analysis in evaluating quality features. Consumer, however, selects products mostly based on the external features such as shape, size, and color. Therefore, critical visual quality features should be chosen and the efficient real time measurement system must be developed. In this paper, computer image acquisition and processing system were developed and software modules were developed to extract the quantitative data of those features in real-time. Computer image processing system will promote in maintaining uniform quality of Yukwa and establishing quality standards of Yukwa.
KSII Transactions on Internet and Information Systems (TIIS)
/
v.14
no.3
/
pp.1086-1103
/
2020
The automatic identification and classification of image-based weld defects is a difficult task due to the complex texture of the X-ray images of the weld defect. Several depth learning methods for automatically identifying welds were proposed and tested. In this work, four different depth convolutional neural networks were evaluated and compared on the 1631 image set. The concavity, undercut, bar defects, circular defects, unfused defects and incomplete penetration in the weld image 6 different types of defects are classified. Another contribution of this paper is to train a CNN model "RayNet" for the dataset from scratch. In the experiment part, the parameters of convolution operation are compared and analyzed, in which the experimental part performs a comparative analysis of various parameters in the convolution operation, compares the size of the input image, gives the classification results for each defect, and finally shows the partial feature map during feature extraction with the classification accuracy reaching 96.5%, which is 6.6% higher than the classification accuracy of other existing fine-tuned models, and even improves the classification accuracy compared with the traditional image processing methods, and also proves that the model trained from scratch also has a good performance on small-scale data sets. Our proposed method can assist the evaluators in classifying pipeline welding defects.
Kim, Hyung-Seok;Cho, Hyoung-Ki;Chang, Eun-Mi;Kim, In-Hyun;Kim, In-Won
Proceedings of the KSRS Conference
/
2008.10a
/
pp.3-5
/
2008
An increase in oil and gas plants caused by development of process industry have brought into the increase in use of flammable and toxic materials in the complex process under high temperature and pressure. There is always possibility of fire and explosion of dangerous chemicals, which exist as raw materials, intermediates, and finished goods whether used or stored in the industrial plants. Since there is the need of efforts on disaster damage reduction or mitigation process, we have been conducting a research to relate explosion model on the background of real 3D terrain model. By predicting the extent of damage caused by recent disasters, we will be able to improve efficiency of recovery and, sure, to take preventive measure and emergency counterplan in response to unprepared disaster. For disaster damage prediction, it is general to conduct quantitative risk assessment, using engineering model for environmental description of the target area. There are different engineering models, according to type of disaster, to be used for industry disaster such as UVCE (Unconfined Vapour Cloud Explosion), BLEVE (Boiling Liquid Evaporation Vapour Explosion), Fireball and so on, among them, we estimate explosion damage through UVCE model which is used in the event of explosion of high frequency and severe damage. When flammable gas in a tank is released to the air, firing it brings about explosion, then we can assess the effect of explosion. As 3D terrain information data is utilized to predict and estimate the extent of damage for each human and material. 3D terrain data with synthetic environment (SEDRIS) gives us more accurate damage prediction for industrial disaster and this research will show appropriate prediction results.
The Journal of the Institute of Internet, Broadcasting and Communication
/
v.11
no.5
/
pp.19-25
/
2011
With the issue of a Green IT Technology, studies on a environment-friendly luminous source that can reduce Carbon discharge and increase energy efficiency are actively progressed all over the world. Especially, with the problems of high oil price and environmental pollution, LED has made a great attention as a new luminous source that can replace the existing incandescent bulbs and fluorescent lights. In this paper, the proposed streetlight system becomes more intellectual by combining the low power consuming, high efficient, and high luminous LED module with a complex sensor module with temperature, humidity, illumination and motion sensors. Then, we design and implement the Ad-Hoc based LED-IT-Sensor integrated streetlight system that can maximize the energy savings efficiently with central monitoring system and selective remote dimming control by connecting them to the wireless ubiquitous sensor network(USN) using a Zigbee module.
In the present studies, decursinol angelate, decursin isolated from Angelica gignatis radix and oil fraction of Cnidii rhizoma was analyzed by normal phase HPLC and GC/MS respectively. The standardized water extracts of Angelica gignatis radix, Cnidii rhizoma and its complex named Gung-gui-tang was tested the anti mutagenic effects by in vitro genotoxicity using Salmonella reversion assay (Ames test) and micronucleus test in chinese hamster ovary(CHO) cells. Angelica gignatis radix, Cnidii rhizoma and Gung-gui-tang was not exhibited the antimutagenic effects in the Salmonella reversion assays with or without metabolic activation. However, the micronucleus test assays, Angelica gignatis radix and Gung-gui-tang was showed the antimutagenic effects significantly. The maximum inhibition observed with Gung-gui-tang was reduced by 59% in the micronucleus test without metabolic activation. In this paper, results are presented on the availability of potential antimutagenic activity of the water extracts of Gung-gui-tang.
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