• Journal of the Korean Society of Fisheries and Ocean Technology
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• v.23 no.4
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• pp.169-176
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• 1987

The response of file Navodon modestus (GUNTHER) to attraction lamps in line and an adaptation lamp was carried out in the experimental water tank (550L$\times$58W$\times$73H cm). The rate of attraction was investigated in accordance with the intervals of time lighted on and off (1, 5, 10 minute), the intensities of adaptation lamp (1, 10, 20 W) and the two conditions of light stimulus which were the movement of lighted zone (NORMAL) and decrement of lighted zone (NEGA). The results are as follows: 1. Under Normal condition, the variation coefficients which show variation of attraction rate according to the time intervals and the intensities of adaptation lamps were 16.78% (1 min.), 9.71% (5 min.), 8.96% (10 min.), 9.71% (1 W), 15.00% (10W) and 21.08% (20 W) respectively, and attraction rates of the last section was 80.0% (1 min.), 86.0% (5 min.), 85.0% (10 mim.), 86.0% (1 W), 78.7% (10W) and 72.7% (20 W) respectively. 2. Under Nega condition, the file fish was almost distributed all in the illuminated sections, and the majority of the distribution section was adjacent to the extinguished section regardless of the time intervals and the adaptation lamps. 3. Under Nega condition, the variations of attraction rate in the last section became L type, and the attraction rates, when the rest except for the last attraction lamp was extinguished, were 96.7% (1 min.), 100% (5 min.), 96.0% (10 mim.), 100% (1 W), 100% (10W) and 88.0% (20 W) respectively.

• Journal of Korean Academy of Nursing Administration
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• v.15 no.4
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• pp.563-570
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• 2009

Purpose: The purpose of this study was to develop specialized mentor program to improve adaptation for new nurses of intensive care unit and to identify the effect of the program on early resignation rate. Methods: The study adopted nonequivalent control group, non synchronized design. Based on the identification of problems and the needs of new nurses, a 6 month specialized mentor program was developed. The program was consisted of three parts; developing knowledge, improving interpersonal relationship and increasing coping competency for emergency situation. Data were collected between July 2006 and 2008 from 37 nurses and the early resignation rate was compared before and after the implementation of the mentoring program. Results: Early resignation rate of the nurses who received the mentor program was significantly lower than that of the nurses who didn't. The resignation rate within 1 year dropped from 44.5% to 8.3%(p=.034). Conclusions: The specialized six month mentoring program was effective in reducing early resignation rate.

• Journal of Biosystems Engineering
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• v.34 no.2
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• pp.95-105
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• 2009

A method was proposed which employed control of the drop location of fertilizer particles on a spinner disc to optimize the spread pattern uniformity. The system contained an optical sensor as a feedback mechanism, which measured discharge velocity and location, as well as particle diameters to predict a spread pattern of a single disc. Simulations showed that the feed gate adaptation algorithm produced high quality patterns for any given application rate in the dual disc spreader. The performance of the feed gate control method was assessed using data collected from a Sulky spinner disc spreader. The results showed that it was always possible to find a spread pattern with an acceptable CV lower than 15%, even though the spread pattern was obtained from a rudimentary flat disc with straight radial vanes. A mathematical optimization method was used to find the initial parameter settings for a specially designed experimental spreading arrangement, which included the feed gate control system, for a given flow rate and swath width. Several experiments were carried out to investigate the relationship between the gate opening and flow rate, disc speed and particle velocity, as well as disc speed and predicted landing location of fertilizer particles. All relationships found were highly linear ($r^2$ > 0.96), which showed that the time-of-flight sensor was well suited as a feedback sensor in the rate and uniformity controlled spreading system.

• Journal of Korean Clinical Nursing Research
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• v.28 no.3
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• pp.242-250
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• 2022

Purpose: This study was conducted to evaluate the performance following the application of the pilot program for the education nurse system of the Ministry of Health and Welfare in a medical institution. Methods: This study was employed a non-homogeneous comparative group design by comparing new nurses who entered the medical institution after the pilot project from December 2019 to April 2020 with new nurses who entered before the pilot project during the same period. Satisfaction, academic achievement, job adaptation, personal turnover within one year, and patient safety incident rate were investigated as performance indicators. Results: After the pilot project, the overall satisfaction among new nurses, preceptors, and fellow nurses increased, but there were no significant changes in academic achievement and job adaptation in new nurses. The personal turnover rate decreased from 15.6% to 9.1%, and the patient safety incident rate also decreased from 26.3% to 15.7%. Also, the preceptor overtime also decreased from 3.67 to 0.66 hours. Conclusion: The performance of the pilot project for the education nurse system was related to improvements in satisfaction, turnover rate of new nurses, patient safety incident rate, and preceptor overtime. Above all long-term monitoring of each performance indicator is necessary through the continuation of the education nurse system of the Ministry of Health and Welfare.

• International Journal of Industrial Entomology and Biomaterials
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• v.19 no.1
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• pp.155-164
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• 2009

The most important factors in environment that influence the physiology of insects are temperature and humidity. Insects display a remarkable range of adaptations to changing environments and maintain their internal temperature (thermoregulation) and water content within tolerable limits, despite wide fluctuations in their surroundings. Adaptation is a complex and dynamic state that widely differs in species. Surviving under changing environment in insects depends on dispersal, habitat selection, habitat modification, relationship with ice and water, resistance to cold, diapause and developmental rate, sensitivity to environmental signals and syntheses of variety of cryoprotectant molecules. The mulberry silkworm (Bombyx mori) is very delicate and sensitive to environmental fluctuations and unable to survive naturally because of their domestication since ancient times. Thus, the adaptability to environmental conditions in the silkworm is quite different from those of wild insects. Temperature, humidity, air circulation, gases and photoperiod etc. shows a significant interaction in their effect on the physiology of silkworm depending upon the combination of factors and developmental stage affecting growth, development, productivity and quality of silk. An attempt has been made in this article to briefly discuss adaptation in insects with special emphasis on the role of environmental factors and their fluctuations and its significance in the physiology of mulberry silkworm, B. mori.

• Journal of Communications and Networks
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• v.7 no.3
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• pp.243-247
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• 2005

We propose an efficient block least-mean-square (BLMS) adaptive algorithm, in conjunction with error control coding, for direct-sequence code division multiple access (DS-CDMA) systems. The proposed adaptive receiver incorporates decision feedback detection and channel encoding in order to improve the performance of the standard LMS algorithm in convolutionally coded systems. The BLMS algorithm involves two modes of operation: (i) The training mode where an uncoded training sequence is used for initial filter tap-weights adaptation, and (ii) the decision-directed where the filter weights are adapted, using the BLMS algorithm, after decoding/encoding operation. It is shown that the proposed adaptive receiver structure is able to compensate for the signal-to­noise ratio (SNR) loss incurred due to the switching from uncoded training mode to coded decision-directed mode. Our results show that by using the proposed adaptive receiver (with decision feed­back block adaptation) one can achieve a much better performance than both the coded LMS with no decision feedback employed. The convergence behavior of the proposed BLMS receiver is simulated and compared to the standard LMS with and without channel coding. We also examine the steady-state bit-error rate (BER) performance of the proposed adaptive BLMS and standard LMS, both with convolutional coding, where we show that the former is more superior than the latter especially at large SNRs ($SNR\;\geq\;9\;dB$).

• The Journal of Korean Institute of Communications and Information Sciences
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• v.18 no.3
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• pp.348-354
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• 1993

In this research, a multi-tree coder at 9.6Kbits/sec using a novel scheme for adaptation of the short-term coefficients is developed. The overall delay of the tree coder is maintained at 2.5 msec(16 samples at the 6.4KHz sampling frequency). This coder produces good quality speech over ideal channels, and it is very robust to channel errors up to a bit error rate (BER) of $10^{-3}$. This robustness is achieved by using a parallel adaptation scheme in combination with the use of a smoothed version of the received excitation sequence for adaptation of the short-term prediction coefficients. For the multi-tree coder, reconstructed output speech is evaluated using signal-to-quantization noise ratios (SNR), segmental SNRs, and informal listening tests.

• Transactions of the Korean Society of Automotive Engineers
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• v.23 no.6
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• pp.623-632
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• 2015

This study proposes a control strategy of the common rail pressure with a fuel injection limitation algorithm to reduce particulate matter (PM) emissions under transient states. The proposed control strategy consists of two parts: injection quantity limitation and rail pressure adaptation. The injection limitation algorithm determines the maximum allowable fuel injection quantity to avoid rich combustion under transient states. The fuel injection quantity is limited by predicting the burned gas rate after combustion; however, the reduced injection quantity leads to deterioration of engine torque. The common rail pressure adaptation strategy is designed to compensate for the reduced engine torque. An increase of the rail pressure under transient states contributes to enhancement of the engine torque as well as reduction of PM emissions by promoting atomization of the injected fuel. The proposed control strategy is validated through engine experiments. The rail pressure adaptation reduced the PM emission by 5-10% and enhanced the engine torque up to 2.5%.

• IEMEK Journal of Embedded Systems and Applications
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• v.19 no.2
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• pp.73-81
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• 2024

Recently, mobile manipulators have been utilized in agriculture industry for weed removal and harvest automation. This paper proposes a domain adaptive fruit detection method for harvest automation, by utilizing OWL-ViT model which is an open-vocabulary object detection model. The vision-language model can detect objects based on text prompt, and therefore, it can be extended to detect objects of undefined categories. In the development of deep learning models for real-world problems, constructing a large-scale labeled dataset is a time-consuming task and heavily relies on human effort. To reduce the labor-intensive workload, we utilized a large-scale public dataset as a source domain data and employed a domain adaptation method. Adversarial learning was conducted between a domain discriminator and feature extractor to reduce the gap between the distribution of feature vectors from the source domain and our target domain data. We collected a target domain dataset in a real-like environment and conducted experiments to demonstrate the effectiveness of the proposed method. In experiments, the domain adaptation method improved the AP50 metric from 38.88% to 78.59% for detecting objects within the range of 2m, and we achieved 81.7% of manipulation success rate.

• Journal of Environmental Science International
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• v.7 no.3
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• pp.393-400
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• 1998

A microorganism, Klebsiella gr. 47, capable of degrading BTX(benzene, toluene and xylene) was isolated from oil-contaminated soil and its characteristics of BTX degradation were investigated. When benzene and toluene were fed to Klebstella gr. 47 simulataneously, they showed competitive ingibition. The degradation rate of xylene was enhanced as much as 3 times when xylene was fed with benzene or toluene. Degradation rate of benzene and toluene was also enhanced by cocultured with Alcaligenes xylosoxidans. When benzene-adapted microorganism was used, each BTX compound was degraded efficiently within 5 hours.