• International Journal of Fuzzy Logic and Intelligent Systems
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• v.5 no.1
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• pp.69-75
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• 2005

This paper is concerned with the design of a predictive PID controller, which has similar features to the model-based predictive controller. A PID type control structure is defined which includes prediction of the outputs and the recalculation of new set points using the future set point data. The optimal values of the PID gains are pre-calculated using the values of gains calculated from an unconstrained generalized predictive control algorithm. Simulation studies demonstrate the performance of the proposed controller and the results are compared with generalized predictive controller and the results are compared with generalized predictive control solutions.

• 제어로봇시스템학회:학술대회논문집
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• 1990.10a
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• pp.344-349
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• 1990

Under the assumption that process input/output data are sufficiently rich to allow reasonable plant identification, a long-range predictive control method for SISO bilinear plant is derived. In order to ensure offset-free behaviour of the control method, a new bilinear CARIMA model with variable dead-time is introduced. Furthermore, to extend the maximum output prediction horizon, the future predicted outputs in the bilinear term are assumed to be equal to the known future set-points. With a classical recursive adaptation algorithm, the proposed control scheme is capable of stable control of bilinear plants with variable parameters, with variable dead-time, and with a model order which changes instantaneously. Several simulation results demonstrate the characteristics of the proposed bilinear model predictive control method.

• Food Science of Animal Resources
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• v.29 no.6
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• pp.695-701
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• 2009

This study was performed to evaluate the effectiveness of biological critical control points using the genetic profile of Escherichia coli isolates from pork cutting plants. Samples were collected from carcasses, equipment (knife, table, glove, transport belt, boning and skinning machine), the environment (wall and floor), and meat cuts during the cutting process from two plants. Pulsed-field gel electrophoresis (PFGE) was used to characterize the E. coli isolates. An identical genotype was detected from the carcasses, equipment, environment, and final meat cuts, and showed that the incoming carcasses, which were contaminated during transportation from slaughterhouses, were a major source of E. coli that was spread throughout processing. Also, consistent cross-contamination due to improper cleaning and disinfection procedures was another possibility. As a result, incoming carcasses and cleaning procedures should be considered critical control points in pork cutting plants, since a heating step is not used to inactivate microorganisms. Furthermore, the high rate (59.6%) of E. coli isolation indicates E. coli can be a good indicator in livestock processing plants even though it has genetic diversity.

• Journal of Animal Science and Technology
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• v.47 no.2
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• pp.293-304
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• 2005

This experiment was carried out to investigate effects of honeybee venom treatment on the body weight gain, feed conversion and growth rate' in pigs. One hundred twenty nine piglets(LY) from 12 sows were allocated into two groups; honeybee venom-treated group (66 piglets from 6 sows) and non-treated control group (63 piglets from 6 sows). Natural honeybee venom was administrated at 0, 3, 14, 30, and 74 days after birth. The acupoints were Hai-men(ST-25), Du-kou(CV-8) and liao-chao(GV-I) points at 0 day, the regions of castration and tail ampution at 3 days, liao-chao(GV-1) and Bai-hui(GV-20) points at 14(weaning), 30(move into piglet stall) and 74(move into grower stall) days after birth. Control group was injected 1 ml of saline to the same site. Average body weight at 150 days after birth was 98.44 kg in bee venom treated group and 86.24 kg in control group, respectively. Average body weight of treated group was significantly increased by 14.15%(P < 0.0001). Average daily gain of bee venom treated group and control group were 649 g and 569 g, respectively, increased by 14.06%(P< 0.0001). Feed conversion of the treated group was 2.21 and control group was 2.49, increased by 11.25% in control group(P < 0.001). Survival rate at weaning was 95.5 % in treated group and 92.0% in control group, at growing(74 days after birth) was 92.4% in treated group and 85.7% in control group and survival rate at finishing(l50 days after birth) was 89.5 % and 79.4 %, respectively. Collecting together, the results in this study showed that growth performance and feed conversion were increased by treatment of natural honeybee venom to pigs. These results suggested that the treatment of bee venom could be used effectively for the increase productivity of livestock industry.

• Structural Engineering and Mechanics
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• v.82 no.3
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• pp.283-294
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• 2022

An inerter is a passive mechanical element whose inertance can be thousands of times its own physical mass. This paper discusses the application of an inerter-based passive control system, termed rotational inertial double-tuned mass damper (RIDTMD), to mitigate human-induced floor vibrations. First, the acceleration frequency response function of the floor with an RIDTMD is first derived. It is then employed to determine the optimal design parameters of the RIDTMD using the extended fixed-points technique. Based on a theoretical analysis, design-oriented empirical functions are proposed for the RIDTMD optimal parameters, whose performance for floor vibration control is evaluated by numerical examples, in which three typical human-induced load types are considered: walking, jumping, and bouncing. The results indicate that the applicability and effectiveness of the RIDTMD for human-induced floor vibration control are robust for various load types, load frequencies, and floor natural frequencies. For the same mass ratio, the RIDTMD is better than the TMD in reducing the floor vibration amplitude and improving the effective frequency suppression bandwidth, and for the same vibration suppression effect, the mass of the RIDTMD is much lighter than that of the TMD.

• Journal of Institute of Control, Robotics and Systems
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• v.21 no.10
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• pp.965-971
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• 2015

This paper suggests a feature point-based Iterative Closest Point (ICP) algorithm to compensate for the disparity error in building a two-dimensional map. The ICP algorithm is a typical algorithm for matching a common object in two different images. In the process of building a two-dimensional map using the laser scanner data, warping and distortions exist in the map because of the disparity between the two sensor values. The ICP algorithm has been utilized to reduce the disparity error in matching the scanned line data. For this matching process in the conventional ICP algorithm, pre-known reference data are required. Since the proposed algorithm extracts characteristic points from laser-scanned data, reference data are not required for the matching. The laser scanner starts from the right side of the mobile robot and ends at the left side, which causes disparity in the scanned line data. By finding the matching points between two consecutive frame images, the motion vector of the mobile robot can be obtained. Therefore, the disparity error can be minimized by compensating for the motion vector caused by the mobile robot motion. The validity of the proposed algorithm has been verified by comparing the proposed algorithm in terms of map-building accuracy to conventional ICP algorithm real experiments.

• Reproductive and Developmental Biology
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• v.32 no.2
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• pp.123-126
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• 2008

The objective of this study was to determine the potential hazardous effects of sorting process by flowcytometry on the quality of boar spermatozoa by flowcytometer. Freshly collected boar semen was diluted and divided into two groups; control none sorted and sorted. Sperms in sorted group were processed with flowcytometer for cell sorting with $100\;{\mu}M$ nozzle under the 20 psi pressure. Measurements on each parameter were made at two time points, 0hr (right after sorting) and 24 hr post sorting. Although there was a tendency of lower viability in sorted group than none sorted control group, the percentage of live cells in control ($75.83{\pm}6.92\;&\;59.53{\pm}10.34$) was not significantly different from sorted ($59.70{\pm}7.37\;&\;43.97{\pm}3.76$) at both 0 and 24 hr post sorting. However, sorted sperm showed significantly lower mitochondrial function compared to the control at both 0 h ($79.37{\pm}3.22\;vs.\;63.50{\pm}10.05$) and 24 hr ($67.27{\pm}3.22$ vs. $46.97{\pm}5.37$) time points (p<0.007). Sperm DNA fragmentation rate was significantly lower in control ($22.0{\pm}7.04$) than that of sorted ($32.27{\pm}7.49$) at 24 hr time point (p<0.0002). Taken together, these data suggested thatsorting process by flowcytometer may have influenced sperm motility rather than viability. Also high speed sperm sorting by flowcytometer has significant effects on DNA fragmentation on elapsed time after sorting.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.29 no.4
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• pp.367-380
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• 2011

This paper has focused on deriving a GPS based geodetic network adjustment strategy to continuously determine coordinate sets of the national geodetic control points. After domestic literature review on the topic and overseas case studies about countries that recently reformed their geodetic infrastructure have been carried out, a simplified geodetic network consisting of two layers, namely GPS active and passive network, has been proposed to maximize effectiveness of the network adjustment through reducing the number of the passive points. Furthermore, a GPS data processing and network adjustment procedure has been derived to support the continuous management scheme. While a scheme for the active layer adopts a sequential least squares adjustment based on a multi-baseline, that of the passive layer employs a multi-session adjustment technique with respect to 3-dimensional baseline vectors. Finally, experimental adjustment against a network comprising 24 active and 6,900 passive stations has been performed to demonstrate the efficiency and the effectiveness of the proposed method.

• Journal of the East Asian Society of Dietary Life
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• v.17 no.4
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• pp.463-473
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• 2007

This study was carried out to investigate perceptions of body image, body satisfaction, and dietary habits of beauty art major and non-major college students in Gyeonggi province. A total of 312 self-administered questionnaires (beauty art majors=145; non-majors=167) were analyzed. The means for height, weight, and BMI were 161.7 cm, 51.4 kg and 19.7, respectively. There were more majors who were underweight according to BMI classification than non-majors. Sixty-six percent of the subjects had previous weight control experience, and there was no significant difference between the majors and non-majors. The mean score for current body image was 4.61 out of a possible 9 points in the majors, which was significantly lower than 4.95 in the non-majors, and their perception of an ideal body image was thinner than their current body image. Those with more weight control experience had currently heavier perceptions of their body. The mean score for body satisfaction was 2.60 out of a possible 5 points, which was lower than the mean score for their attitudes toward the importance of their bodies. The mean score for dietary habits was 2.80 out of a possible 5 points, and there was no significant difference with dietary habits according to weight control experience or BMI classification. In both the majors and non-majors, there was a significant positive correlation between BMI and perception of current body image (p<0.001, p<0.001), and a negative correlation between BMI and body satisfaction (p<0.01, p<0.001). In the major students, there were significant positive correlations between dietary habits and body satisfaction (p<0.01), and attitudes toward the body importance (p<0.05); therefore, the greater their body satisfaction and body importance, the higher their scores for dietary habits.

• Journal of Institute of Control, Robotics and Systems
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• v.20 no.2
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• pp.132-137
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• 2014

In this paper, An LQR controller is proposed for way-point tracking of AUV (Autonomous Underwater Vehicle). The LQR controller aims at tracking a series of way-points which operator registers arbitrarily in advance. It consists of a depth controller and a steering controller and AUV's surge speed is assumed varying to consider the dynamic environment of the underwater. In order to show the performance, a conventional state feedback controller is compared with the proposed controller by the simulation using Matlab/Simulink. The parameters of AUV developed by the author's laboratory are used. In the simulation, we verify that the LQR controller can track all the way-points within 1 m error range under the varying surge speed, which proves the robustness of the LQR controller.