• Journal of the Korean Society of Food Science and Nutrition
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• v.30 no.6
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• pp.1246-1252
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• 2001

A feeding experiment was conducted on rats to investigate the inhibitive effects of baik-kimchi against the toxicity of Amaranth (Am, Food Red No.2) on growth, fecal weights and bulk, and the digestibility of protein and lipid. The body weight of the Am diet group (5% Amaranth) remained at the lowest level of all diet groups, because of diarrhea symptoms throughout the feeding period, 229.8 g of total body weight or 79.4% of the basal diet group (289.4 g). However, in the baik-kimchi diet group (10% baik-kimchi powder+5% Amaranth) no diarrhea symptoms were evident and total body weight remained at a similar level (280.3 g) to the basal diet group. It therefore appears that baik-kimchi offers an inhibitive effect against the toxicity of Am. In the baik-kimchi diet group, the total fecal weight (173.99 g/3 weeks) was 15 times that of the basal diet group (11.13 g/3 weeks) suggesting that baik-kimchi has the effect of increasing fecal bulk. The large intestine and the cecum of the baik-kimchi diet group were significantly (p<0.05) heavier than those of the Am diet group. The digestibility of protein (50.26%) and lipid (58.37%) in the Am diet group was very low in comparison with these in the baik-kimchi diet group (87.30% and 92.12%, respectively). This result indicates that the low digestibility of these nutrients in the Am diet group was directly responsible for the decrease of weight. Consequently, it is demonstrated that baik-kimchi can inhibit the effects of the toxicity of Am in rats.

• Korean Journal of Plant Resources
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• v.27 no.1
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• pp.11-21
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• 2014

Atractylodes macrocepala KOIDZ. (AmK) is a herbal medicine and resources of functional food which has been used for the treatment of indigestion, anorexia, diarrhea and digestive dysfunction. Recently AmK is frequently used as resources of functional food and whitening cosmetics. In this study was carried out to evaluate the acute oral toxicity of Amk in Sprague-Dawley(SD) rats. male and female rats were administered orally with Amk extract of 1,000 mg/kg (low dosage group), 2,000 mg/kg (middle dosage group) and 4,000 mg/kg (high dosage group). We daily observed number of deaths, clinical signs and gross findings for 7 days. No dead SD rats and no clinical signs were found during the experiment period. Also other specific changes were not found between control and treated groups in hematology and serum biochemistry. But we found out feeble histopathological changes in liver fat tissues. In addition no significant changes of gross bady and individual organs weight. These results suggest that water soluble extract of AmK has not acute oral toxicity and oral $LD_{50}$ value was over 4,000 mg/kg in SD rats.

• Smart Media Journal
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• v.8 no.1
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• pp.74-81
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• 2019

Recently, machine learning technology has had a significant impact on society, particularly in the medical, manufacturing, marketing, finance, broadcasting, and agricultural aspects of human lives. In this paper, we study how to apply machine learning techniques to foods, which have the greatest influence on the human survival. In the field of Smart Farm, which integrates the Internet of Things (IoT) technology into agriculture, we focus on optimizing the crop growth environment by monitoring the growth environment in real time. KT Smart Farm Solution 2.0 has adopted machine learning to optimize temperature and humidity in the greenhouse. Most existing smart farm businesses mainly focus on controlling the growth environment and improving productivity. On the other hand, in this study, we are studying how to apply machine learning with respect to harvest time so that we will be able to harvest fruits of the highest quality and ship them at an excellent cost. In order to apply machine learning techniques to the field of smart farms, it is important to acquire abundant voluminous data. Therefore, to apply accurate machine learning technology, it is necessary to continuously collect large data. Therefore, the color, value, internal temperature, and moisture of greenhouse-grown fruits are collected and secured in real time using color, weight, and temperature/humidity sensors. The proposed FPSML provides an architecture that can be used repeatedly for a similar fruit crop. It allows for a more accurate harvest time as massive data is accumulated continuously.

• Korean journal of applied entomology
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• v.62 no.4
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• pp.287-293
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• 2023

A lot of individuals of Mythimna loreyi have been attracted to the sex-pheromone traps of Spodoptera frugiperda during recent few years. However, there is no information about this pest. Thus, an efficient mass-rearing method of M. loreyi is demanded to study this pest. In this study, we compared the effects of artificial diets and rearing methods on its larval development and oviposition to suggest an efficient mass-rearing method of M. loreyi. Between S. frugipera and Agrotis ipsilon artificial diets, A. ipsilon diet showed more rapid larval development with higher survivorship, and decreased pupa weights and oviposition numbers compared to S. frugipera diet. Moreover, a grouping rearing caused more rapid larva development, decreased pupa weight and survivorship compared to an individual rearing. Therefore, for mass-rearing of M. loreyi, it is considered efficient to rear the newly emerged larvae in groups using A. ipsilon artificial diet and then rearing them individually after second or third larval stadium.

• Journal of the Korean Society of Marine Environment & Safety
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• v.30 no.4
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• pp.324-331
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• 2024

The height of large car and truck carriers from the keel to the wheel house is 44 ~ 46 m, and as the car-carriers increases in size, it exhibits the 'top heavy' characteristic, where the upper section is heavier than the lower section. This study aims to estimate the maximum outward heel angle of the Golden Ray car-carrier (G-ship) during turning maneuvers for accident investigation and the prevention of similar accidents. The theoretically calculated maximum outward heel is 7.5° (at 19 kn, rudder angle 35°) with a GM of +3.0 m or higher, and 16.7° with a GM of +1.85 m. Meanwhile the experimentally modified maximum outward heel is 10.5° (at 19 kn, rudder angle 35°) with a GM of +3.0 m or higher, and 23.3° with a GM of +1.85 m. The G-ship is maneuvered during an accident at a speed of 13 kn, at starboard rudder angle of 10° to 20°, it changes course from 038°(T) to 105°(T) based on the instructions of the on-board pilot. At this time, the maximum outward heel is estimated to be between 7.8° and 10.9° at the port side, which is 2.2 times higher than the normal outward heel. In the IS code, cargo ships are required to exhibit a minimum GoM of +0.15 m or more. The maneuvered G-ship exhibits a GoM of +1.72 m. It is not maneuvered because it fails to satisfy the international GoM criteria and because its GoM is insufficient to counteract the heeling moment during the maneuver. This study is performed based on accident-investigation results from the Korea Maritime Safety Tribunal and the USCG.

• Journal of the Institute of Electronics and Information Engineers
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• v.49 no.9
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• pp.347-352
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• 2012

In this paper, an 2D spatial-map construction for workers identification and avoidance of AGV using the detection scheme of the spatial coordinates based on stereo camera is proposed. In the proposed system, face area of a moving person is detected from a left image among the stereo image pairs by using the YCbCr color model and its center coordinates are computed by using the centroid method and then using these data, the stereo camera embedded on the mobile robot can be controlled for tracking the moving target in real-time. Moreover, using the disparity map obtained from the left and right images captured by the tracking-controlled stereo camera system and the perspective transformation between a 3-D scene and an image plane, depth map can be detected. From some experiments on AGV driving with 240 frames of the stereo images, it is analyzed that error ratio between the calculated and measured values of the worker's width is found to be very low value of 2.19% and 1.52% on average.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.9 no.4
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• pp.323-329
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• 2016

This paper describes an insole FFO(Functional Foot Orthosis) model for comfortable walking by considering weight distribution. There are many ways to make an insole FFO model such as using 3D computer graphics, or plaster manually. Thus, we proposed a standardized way to make an insole model, specifically called, robust and automatically personalized deformable insole model. Our proposed method showed 0.8cm average error compared between our proposed auto-deformable insole model and the other insole model manually deformed by experts. Therefore, our proposed method can be an efficient way to make a customized insole model with small error compared to the manually customized insole model.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.20 no.9
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• pp.1679-1687
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• 2016

Mobile robots are effectively used in industrial fields that require flexible manufacturing systems. Mobile robots have to move with mechanical loads such as product parts along the specified paths, and are usually equipped with kinematic controllers. When the loads and nonlinear frictions are too high, satisfactory control performances can not be expected with the kinematic controllers, so some dynamic controllers have been developed. Conventional dynamic controllers require the exact weights and locations of the loads; however, the loads are frequently changed and unknown so that the control performances of the conventional controllers are limited. This paper proposes an adaptive PD control method using gradient descent learning to have sufficient dynamic control performance for unknown loads. Simulation studies have been conducted for various load conditions to verify that the adaptive PD control method have much broader convergence region than the convention method.

• Journal of Korea Society of Industrial Information Systems
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• v.6 no.3
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• pp.79-86
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• 2001

The CTD(Cumulative Trauma Disorder) as a new kind of occupational disease occurs mainly to workers on handling line under the highly-specialized industrial environments. This study took into account their exposure to Cumulative Trauma Disorders(CTD) by the utilization of EMG system, with respect to worker's muscle fatigue test according to fulfillment of iterative and simple task. The findings of this study were as follows : From the result of AEMG test analysis, worker's fatigue extent according to elapsed time of task was inclined to be increased continually. On the other hand, after its task ending, their fatigue extent was inclined to be decreased than before-circumstance of refractory brick lifting. The transference of MF(Median Frequency) and MPF(Mean Power Frequency) had highly significant difference between muscle fatigue and the elapsed time of work. Especially, their fatigue extent to erectorspinae and multifidus to lift firebrick was increased in the mean time. The transference of ZCR(Zero Crossing Rate) had considerable significant difference between muscle fatigue and the elapsed time of work. In short, as the work went of the muscle fatigue extent increased gradually. Thus, it can be concluded that the fatigue of erectorspinae and multifidus extent according to fulfillment of iterative and simple task is gradually being increased.

• Journal of Intelligence and Information Systems
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• v.12 no.1
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• pp.57-73
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• 2006

This paper describes a methodology for automating the material handling equipment (MHE) evaluation and selection processes by combining knowledge-based rules and fuzzy multi-criteria decision making approach. The methodology is proposed to solve the MHE selection problems under fuzzy environment. At the primary stage, the most appropriate MHE type among the alternatives for each material flow link is searched. Knowledge-based rules are employed to retrieve the alternatives for each material flow link. To consider and compare the alternatives, multiple design factors are considered. These factors include both quantitative and qualitative measures. The qualitative measures are converted to numerical measures using fuzzy logic. The concept of fuzzy logic is applied to evaluation matrices used for the selection of the most suitable MHE through a fuzzy linguistic approach. Thus, this paper demonstrates the potential applicability of fuzzy theory in the MHE applications and provides a systemic guidance in the decision-making process.