• Journal of Korean Society of Water and Wastewater
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• v.18 no.1
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• pp.66-72
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• 2004

In this study, quantity and quality of collected rainwater by sand, gravel, soil, lawn and concrete surface, as collection materials were investigated and Rainwater Collection Prediction Model was developed to predict the amount of collected rainwater. The quantity of collected rainwater in concrete surface, gravel, sand, soil and lawn collection system was 1,067L(93.2%), 1,006L(87.8%), 902L(78.8%), 800L(69.9%), 788.5L(68.8%) for 8 months period, respectively. The average turbidity of collected rainwater in concrete surface, gravel, sand, soil and lawn collection system was 3.2NTU, 2.2NTU, 1.9NTU, 1.7NTU, 1.5NTU for 8 months period, respectively. For sand collection material, predicted amount by the Model and actual collected amount were 931.5L and 902L, which were very closed. For gravel collection material, predicted amount by Model and actual collected amount were 1,028.21. and 1,006L, which were very closed. To simulate the optimal rainwater storage volume, the rainfall and evaporation data in Dae-jeon city were used. For sand collection system with 30m2 area, the maximum storage volume was $17m^3$ and 62% of the year was secured for use of 240L/day.

• Journal of Korean Society of Water and Wastewater
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• v.19 no.2
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• pp.173-180
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• 2005

In this study, quantity and quality of collected rainwater by the ground collection system were investigated and the Rainwater Collection Prediction Model was developed to predict the amount of collected rainwater. The quantity of collected rainwater in the collection system was 9516 L(38.2%) and the quantity of infiltrated rainwater in the collection system was 9946 L(40.2%) through $25m^2$ area for the study period, respectively. Average turbidity of collected rainwater in collection system was 2.2 NTU, and average turbidity of infiltrated rainwater in collection system was 2.3 NTU for study period, respectively. The predicted amount by the model and the actual collected amount were 9842.4 L and 9516 L, which were very close showing that prediction was excellent. The optimal rainwater storage tank volume was simulated with a certain consumption condition for various cities with different rainfall patterns.

• Journal of Environmental Health Sciences
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• v.24 no.2
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• pp.145-150
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• 1998

This study was carried out to investigate the loss amount of collection at the different of precipitatation time, high voltage and gas speed. This work has focused on the dependence of the collection efficiency in the collector zone with gas speed and high voltage. This advanced Model is developed by research of the different parameter as the conventionnal modem of study. In order to investigate collection efficiency of electrostatic precipitator, the loss amount of knocking was measured with Monitek-Treubung and the particle size was analyzed by He-Ne laser diffraction spectroscopy.

• Journal of Nutrition and Health
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• v.20 no.2
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• pp.83-89
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• 1987

This study was conducted to investigate the effect of repeated blood collection on the amount of vitamin E in serum and liver of the rats fed standard diet. Rats (Sprague Dawley strain) were fed standard were fed standard diet for several weeks. Blood was collected with on improved cardiac puncture method at regular intervals . The amount of vitamin E analogs were measured by the HPLC. 1) The growth curve of all groups was normal, but bodyweight gains of group II were significantly decreased in case of 7 week- rats whose blood was collected at intervals of two weeks. 2) The amount of vitamin E analogs in serum of rats during growth increased, but continuos blood collection could not affect on the amount of vitamin E in serum. Especially, in the group I serum vitamin E equivalent were significantly higher in case of 7 weeks than first week. 3) The amount of liver vitamin E analogs were changed irregularly, and especially, $\alpha$-Tocopherol equivalent were significantly higher in group II then other groups.

• Korean Journal of Plant Resources
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• v.18 no.2
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• pp.279-284
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• 2005

The study was conducted to investigate the correlation and regression analysis between the factors - diameter, hight and crown width - and collection amount of Rhus lacquer by the sex of Rhus verniciflua. The relationship between the diameter and the collection amount of the lacquer by the sex of the lacquer tree indicated that, for both of the male and the female, the lacquer amount was likely to increase as the diameter got larger. In general, the male trees tended towards the higher amount of the lacquer than the female. The relationship between the crown width and the collection amount of the lacquer by the sex showed little difference. As the crown became wider, however, the lacquer amount showed the increasing trend. The regression analysis by the sex of the tree indicated that the major factors of the female had larger influence on the lacquer amount than those of the male. The no differences of statistical significance were found among the diameter, the height, the crown width, and the lacquer amount.

• Journal of the Korea Organic Resources Recycling Association
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• v.17 no.1
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• pp.103-109
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• 2009

Analysis of collection factor was studied to compare various parameters such as collection time, transport time, amount of collection and number of man power by on-the-spot survey at one municipal area and one rural area in Jeju-do. Results showed that the amount of man and time to collect 1 ton of waste of rural area($5.853man{\cdot}hour\;per\;time$) was four times as much as that of municipal area($1.527man{\cdot}hour\;per\;time$). In case of a transport time, rural area(11.08 per km/hr) has similar value to municipal area(11.07 per km/hr) and has half or one third value to the restaurant(36.7km/hr), an apartment area(33.0km/hr) and a detached area(22.4km/hr).

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.14 no.4
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• pp.300-306
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• 2021

Due to the development of IT technology, hardware technologies applied to IoT equipment have recently been developed, so smart systems using low-cost, high-performance RF and computing devices are being developed. However, in the infrastructure environment where a large amount of IoT devices are installed, big data collection causes a load on the collection server due to a bottleneck between the transmitted data. As a result, data transmitted to the data collection server causes packet loss and reduced data throughput. Therefore, there is a need for an efficient big data collection technique in an infrastructure environment where a large amount of IoT devices are installed. Therefore, in this paper, we propose an efficient big data collection technique in an infrastructure environment where a vast amount of IoT devices are installed. As a result of the performance evaluation, the packet loss and data throughput of the proposed technique are completed without loss of the transmitted file. In the future, the system needs to be implemented based on this design.

• The KSFM Journal of Fluid Machinery
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• v.16 no.3
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• pp.48-53
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• 2013

Due to the urbanization, lots of people are living in cities. It is very convenient to live in the cities for the people but at the same time, the highly populated city has several environmental problems. During delivery process of large amount of municipal waste generated from the cities, the automobile emission and traffic jam have been occurred. The waste collection in the cities has been mainly done by using labour force and delivery truck. This is the conventional waste collection up to now. Recently, new technologies like automated waste collection system and capsule transportation have been introduced. Conventional waste collection mainly relied on the labour force and truck delivery does not need to invest a lot of money for the start-up. However, it requires to pay the operational cost both for the labour force and the truck delivery. On the contrary to this conventional waste collection, the automated waste collection and capsule transportation require high initial investment cost. However, the automated waste collection and capsule transportation can reduce significantly the pollutants emission, traffic jam by the waste trucks and actual waste collection cost per ton. In dealing with the waste collection in the cities, new waste collection technologies could be properly combined with the conventional waste collection for the effective municipal waste treatment.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.34 no.12B
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• pp.1459-1467
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• 2009

In this paper, we propose a novel method for improving the tag collection performance in active RFID systems by modifying the tag collection algorithm in the ISO/IEC 18000-7 standard. The proposed method enables to reduce the time slot size by reducing the response message size from the tag and to decrease the number of command messages from the reader throughout the tag collection process. This results in reducing the time required for tag collection and the battery consumption on tags by decreasing the total amount of messages. Via the simulation experiments, we evaluated the performance of the tag collection applied with the proposed method, compared with that of the basic tag collection complying with the standard. The simulation results showed that the proposed method could decrease the total amount of messages between the reader and tags dramatically and reduce the average tag collection time by 19.99% and 16.03% when the reader requested the additional data of 50 bytes and 100 bytes from the tags, respectively.

• Journal of information and communication convergence engineering
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• v.9 no.4
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• pp.375-378
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• 2011

This study is intended to realize an intelligent controller using fuzzy control algorithms in order to recycle energy by recycling the waste water heat discharged by waste water heat collection boilers. Using waste water inflow temperature changes and waste water inflow amount changes as parameters, we present characteristic curves of the number of compressors being operated at fixed speeds and the temperature of hot water being discharged. We propose an intelligent controller that determines the optimum number of compressors being operated at fixed speeds in real time by measuring changes in the temperature and amount of waste water inflows in order to minimize the number of compressors being operated at fixed speeds relative to the waste water load flowing into the waste water heat collection boiler.