KSCE Journal of Civil and Environmental Engineering Research
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v.36
no.4
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pp.677-684
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2016
In order to improve the nighttime visibility of the lane, the need for the development of the automated line marking equipment is on the rise. The purpose of this study is to suggest performance assessment methodology that can be assessed from various aspects such as productivity, safety and quality performance of line marking equipment and to comprehensively analyze the performance of hand-operated and automated equipment based on field test. The following shows the results. It suggested a methodology capable of analyzing the performance of the line marking equipment in terms of productivity, safety and quality. Automated equipment for line marking was analyzed that can be obtained productivity achievement rate of 156.3% as compared with hand-operated equipment. On the basis of the expert advise and literature review, we derived twelve safety factors and ten quality factors of unit work in line marking. By utilizing the AHP technique, we estimated the importance of safety and quality factors. Automated equipment for line marking was analyzed to have been able to expect safety improvement rate of 49.8% and quality improvement rate of 47.2%. It is expected that the performance assessment methodology suggested in this study will be useful in analyzing objective and quantitative validity and expected effectiveness of the line marking equipment.
Recently rapid-transit railway systems have been constructed in many developing countries due to its advantages in congestions and environmental problems. Railway bridges show many different aspects compared to road bridges and passenger comfort and traffic safety are one of them. In particular, deflection and acceleration due to repeated vibration characteristics have a structural weakness that can cause undesirable response. Especially steel railway bridges have been known to have weaknesses due to its relatively light weights compared to concrete bridges. The purpose of this study is to analyze the dynamic response of steel box girder bridges due to passing trains then propose the appropriate method to mitigate the level of vibration in terms of accelerations. Three steel railway bridges are tested and the numerical model to analyze the dynamic response of the bridge by passing train are developed. For the verification of the model, the natural frequency extracted using the acceleration data measured in the bridge is compared with the natural frequency of the numerical model. To mitigate the acceleration level of the bridge, parametric studies are performed to find the effectiveness of the method. Based on the analysis, the appropriate method is proposed for decreasing the acceleration of the bridge for passenger comfort and traffic safety.
This study was conducted to remove the dyes in dye wastewater by the chemical precipitation or biological treatment which are one of the main pollutants in dye wastewater. In order to remove the disperse dyes effectively in aqueous solution by chemical precipitation process, coagulation and flocculation tests were carried out using several coagulants on various reaction conditions. It was found that the Ferrous sulfate was the most effective coagulant for the removal of disperse dye(DB79), and we could get the best result for the removal of disperse dye(DB56) in the aspects of TOC removal efficiency and sludge yield. When the Ferrous sulfate dosage was 800mg/l, the sludge settling velocity was very fast$(SV_{30}=4\%)$, and the color was effectively removed in the disperse dye(DB79) solution. Although the color removal was ineffective when the Alum was used as a coagulant, the sludge yield decreased in comparison with the Ferrous sulfate or the Ferric sulfate being used in the disperse dye(DB56) solution. In order to decolorize disperse dye(DR17) by using biological treatment process, a strain which has potential ability to degrade disperse dyes was isolated from natural system. The optimal culture conditions of temperature and pH were found to be $40^{\circ}C\;and\;8.5\~9$, respectively. When yeast extract was mixed with polypeptone at the mixing ratio of 1:1 as a nitrogen source, decolorization efficiency was highest$(93\%)$ among the nitrogen sources. The strain screened was excellent to adjust to pH, and it seems to have ability to control pH needed to growth. The optimal culture conditions in concentration of $MgSO_{4.}\cdot7H_2O\;and\;KH_2PO_4$ were $0.1\%(w/v)\;and\;0.2\%(w/v)$, respectively. Strains degrading and decolorizing reactive dyes, RB198 and RR141 which were isolated from water system, are named RBK1 and RRK. And the cell growth characteristics of RBK1 and RRK were investigated. The optimal culture conditions of temperature and pH were found to be 30t' and 7.0, respectively. Optimum nitrogen source was peptone, and it was found that decolorization efficiencies by strains RBK1 and RRK, were $85\%\;and\;62\%$, respectively, with introduction of 4,000mg/l of peptone. In the case of RBK1, color removal efficiencies were very high below 400mg/l. Decolorization efficiency was over $90\%$ at 20hours of culture time. The Color degradation ability of RRK was lower than that of RBK1.
Considering that decision in conservation treatment for damaged objects should consider not only various options of methodology of intervention but also possible consequences of different types of intervention, it is a difficult task to decide and propose clear and safest solution of preserving an object. In addition, it should be constantly challenged by conservators even if it is proved technique or methodology in a past treatment. Therefore, there is no absolute solution which can be applied to all practice but each decision can be different case by case. It is not possible to estimate the way how the present condition of material and environmental aspects would affect to the condition of an object in future. However if conservators keep trying to set out various ways of analysing pro and against effect of past treatments, it would be able to provide useful logics of proving efficiency and appropriateness of a certain treatment. Understanding that the advantage of laser technique is to adopt a way of cleaning an object without making a direct contact, which is different from other techniques, this paper aims at securing stability of laser techniques, although it remains a limitation in the compatibility to all other materials. This study has examined reacting process on the painted pigments against laser beam by using CLSM in order for it to display both the problems from such reacting process and the efficiency of it as a cleaning methodology. It has intended to estimate the result of laser techniques and propose the range of applicability.
Hot environments can affect feed intake and lactation, and the subsequent unavailability of important micronutrients to the newborn piglet can impair piglet growth, reduce the viability of newborn piglets and limit their subsequent performance. This work addresses the effects of hot environments (summer season) upon the reproductive performance of sows during gestation and lactation as well as on the serum levels of vitamins and the concentration of immunoglobulins in their litters in comparison with the winter season. Fourteen sows were evaluated over 100 ± 2 days of gestation in each season. The temperature and humidity index (THI) was used as an indirect measure of heat stress during gestation. The reproductive performance, milk yield, and body condition of the sows were recorded. The concentrations of vitamin E and vitamin A in piglets and in sow serum, colostrum, milk and feed were determined by HPLC; immunoglobulins were assessed by an ELISA. The THI index indicated that animals were subject to heat stress only in during the summer. Although the effect was not significant, there were a lower number of piglets at birth and at weaning and the milk yield in summer compared with winter. There was no difference (p > 0.05) in the body condition of sows between seasons. Season had an effect (p < 0.05) on the vitamin A concentration of postpartum sow serum (0.29 ㎍/mL in winter vs 0.21 ㎍/mL in summer) and on the vitamin E concentration before birth (2.00 ㎍/mL in winter vs 0.90 ㎍/mL in summer). Vitamin E in milk was higher (p < 0.05) in winter than in summer (2.23 vs 1.81 ㎍/mL). Serum levels of vitamins A and E in piglets at birth were lower (p < 0.05) in winter than in summer. The concentrations of immunoglobulins (IgG and IgA) in colostrum and milk were similar between seasons (p > 0.05), but the IgA in piglet serum was higher in winter than in summer (p < 0.05). High temperatures produced heat stress in sows, which affected certain aspects of production that can be translated into economic losses for this sector.
This study evaluates the sectoral effects of the regeneration of the idle space and aims to analyze the impact relationship and structure with the quality of residents's life and local economy revitalization. this study verifies the 8 hypotheses from total 11 ones through the PLS structural equation model and suitability test for setting the hypothesis and statistical significance test. The results can be summarized into 3 parts. First, If physical, social and cultural aspects should be considered, Regeneration of idle space could meet the 2 pasts such as quality of residents life and local economy revitalization at the same time. Secondly, the regeneration of idle space from environmental aspect should be led by the local government and let it's effect leaded to local economy revitalization through the collaboration of private and public sector. Finally, it should promote the quality of resident's life and let the satisfaction linked to cyclical effects with local economy revitalization. This study has an significance that it provides the theoretical basis for regeneration of idle space and it is an empirical study for impact structure model.
Journal of the Korea Academia-Industrial cooperation Society
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v.21
no.8
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pp.521-529
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2020
Forest fires are one of the most important environmental risks that have adverse effects on many aspects of life, such as the economy, environment, and health. The early detection, quick prediction, and rapid response of forest fires can play an essential role in saving property and life from forest fire risks. For the rapid discovery of forest fires, there is a method using meteorological data obtained from local sensors installed in each area by the Meteorological Agency. Meteorological conditions (e.g., temperature, wind) influence forest fires. This study evaluated a Data Mining (DM) approach to predict the burned area of forest fires. Five DM models, e.g., Stochastic Gradient Descent (SGD), Support Vector Machines (SVM), Decision Tree (DT), Random Forests (RF), and Deep Neural Network (DNN), and four feature selection setups (using spatial, temporal, and weather attributes), were tested on recent real-world data collected from Gyeonggi-do area over the last five years. As a result of the experiment, a DNN model using only meteorological data showed the best performance. The proposed model was more effective in predicting the burned area of small forest fires, which are more frequent. This knowledge derived from the proposed prediction model is particularly useful for improving firefighting resource management.
Place awareness is an essential for location-based services that are widely provided to smartphone users. However, traditional GPS-based methods are only valid outdoors where the GPS signal is strong and also require symbolic place information of the physical location. In this paper, environmental sounds and images are used to recognize important aspects of each place. The proposed method extracts feature vectors from visual, auditory and location data recorded by a smartphone with built-in camera, microphone and GPS sensors modules. The heterogeneous feature vectors were then learned by an ensemble learning method that learns each group of feature vectors for each classifier respectively and votes to produce the highest weighted result. The proposed method is evaluated for place recognition using a data group of 3000 samples in six places and the experimental results show a remarkably improved recognition accuracy when using all kinds of sensory data comparing to results using data from a single sensor or audio-visual integrated data only.
This study is public R & D institutions report to verify what the impact factors on the course of progress of industrialization based on technology companies who previously received prior to the developed technology, what policies and plans for the next requirements based on this by offering the implications for business rate was to contribute to the improvement of the public research institution technology transfer. In this study, the influence factors on technology commercialization derived through the analysis of existing and previous studies, the characteristics of the previously received corporate environmental characteristics and previous technologies through a survey of the company received a technology transfer from public research institutions commercialization decisions and contributions, including sales and commercialization of the results were analyzed by logistic regression analysis demonstrated how to have relevance. Analysis, and linkage with high production company has an existing case of IT technology transfer, commercialization of higher technical success rate was higher compatibility. On the other hand, were observed and expected success rate were higher when a rather commercialized technologies independently be earlier than if participating in joint research in the development of the technology, unlike previously, completeness of the prior art did not significantly affect. This study has the following policy implications. Public research institutions have developed technologies are commercialized to figure out what the requirements of the technical aspects of consumer technologies in order to create economic wealth. And for technology commercialization for enough technical competencies to absorb the technology, and that the technology and considering the link between business and technology commercialization success to be applied. This study has some limitations. First, the sample size was not sufficient. In relation to the presence and participation of corporate success and commercialization of the R & D process, with many previous studies are needed more in-depth analysis by leading research in the sense that different results are obtained. Also did not reflect the will or the corporate culture, management and organizational skills and belongs to the external environment and internal corporate enterprises industry characteristics affecting the success of corporate management of the business. And lacked sufficient consideration of the various technical characteristics present in the form of joint research and industry. Finally, there is a limit of generalizations about other industries.
Journal of the Korea Academia-Industrial cooperation Society
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v.18
no.5
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pp.35-46
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2017
This study analyzed the role of innovation intermediaries on the performance of technology-based firms in Korea. Technology-based firms are important to the economy because they contribute to regional economic development and national competitiveness. In Korea, various types of intermediaries, such as Techno-parks and incubators have been established to foster technology-based firms. Researchers analyzed various factors influencing the performance of technology-based firms. On the other hand, there have been few studies on the relationship between the innovation intermediaries and the performance of technology-based firms in Korea. This study identified the firms' capabilities, institutional and environmental factors in the light of the literature. A total of 2,313 technology-based firms in Techno-parks, business incubator of public institutes and universities were surveyed. Of these, 110 respondents were used for empirical analysis. OLS techniques were applied to analyze the data. The empirical results showed that the marketing competence, R&D capacity, which is a firms' innovation capacity, have a positive effect on the performance. The support of intermediaries positively affects the performance of technology-based firms. The economic aspects of regional innovation infrastructure, and cooperation with the customer has a positive effect on the performance of technology-based firms.
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