Horse breeders suffer massive economic losses due to dystocia, abortion, and stillbirths. In Thoroughbred mares, breeders often miss the foaling process because approximately 86% of the foaling events occur from 19:00 to 7:00; consequently, breeders cannot assist mares experiencing dystocia. To solve this problem, various foaling alarm systems have been developed. However, there is a need to develop a new system to overcome the shortcomings of the existing devices and improve their accuracy. To this end, the present study aimed to (1) develop a novel foaling alarm system and (2) compare its accuracy with that of the existing FoalertTM system. Specifically, eighteen Thoroughbred mares (11.9 ± 4.0 years old) were included. An accelerometer was used to analyze specific foaling behaviors. Behavioral data were transmitted to a data server every second. Depending on the acceleration value, behaviors were automatically classified by the server as categorized behaviors 1 (behaviors without change in body rotation), 2 (behaviors with sudden change in body rotation, such as rolling over), and 3 (behaviors with long-term change in body rotation, such as lying down laterally). The system was designed to alarm when the duration of categorized behaviors 2 and 3 was 12.9% and that of categorized behavior 3 was 1% during 10 min. The system measured the duration of each categorized behavior every 10 min and transmitted an alarm to the breeders when foaling was detected. To confirm its accuracy, the foaling detection time of the novel system was compared with that of FoalertTM. The novel foaling alarm system and FoalertTM alarmed foaling onset respectively 32.6 ± 17.9 and 8.6 ± 1.0 min prior to foal discharge, and the foaling detection rate of both systems was 94.4%. Therefore, the novel foaling alarm system equipped with an accelerometer can precisely detect and alert foaling onset.
Habeeb, Tajudeen;Joseph, Moturi;Abdolreza, Hosseindoust;SangHun, Ha;Jun Young, Mun;YoHan, Choi;SooJin, Sa;JinSoo, Kim
Journal of Animal Science and Technology
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v.64
no.4
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pp.782-791
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2022
The purpose of this study is to evaluate the effects of multiple cooling systems and different drinking water temperatures (DWT) on the performance of sows and their hair cortisol levels during heat stress. In this study, the effect of four different cooling systems: air conditioner (AC), cooling pad (CP), snout cooling (SC), and mist spray (MS), and two DWT, namely low water temperature (LWT) and high water temperature (HWT) on 48 multiparous sows (Landrace × Yorkshire; 242.84 ± 2.89 kg) was tested. The experiment is based on the use of eight replicas during a 21-days test. Different behaviors were recorded under different cooling treatments in sows. As a result, behaviors such as drinking, standing, and position change were found to be lower in sows under the AC and CP treatments than in those under the SC and MS treatments. Lying behavior increased under the AC and CP systems as compared with that under the SC and MS, systems. The average daily feed intake (ADFI) in sows and weight at weaning in piglets was higher under the AC, CP, and LWT treatments than under the SC, MS and HWT treatments. Sows subjected to SC and MS treatment showed higher hair cortisol levels, rectal temperature, and respiratory rate during lactation than those under AC and CP treatments. Hair cortisol levels, rectal temperature, and respiratory rate were also higher under the HWT than under the LWT treatment. As per the results of this study, the LWT has no significant effect on any of the behavioral factors. Taken together, the use of AC and CP cooling treatment is highly recommended to improve the behavior and to reduce the stress levels in lactating sows.
Objectives : This study is to propose the identification keys based on stereoscopic examination of 8 seed herbs in 2 categories (Phyllolobobii Semen (PS) with 4 Astragali Semen (AS), and 2 Lepidii seu Descurainiae Semen (LDS) with 1 Drabae Semen (DS)) which have difficulties in discrimination with visual observation. Methods : We reviewed the description of original plants and their medicinal parts from the literature. The original plants were collected, identified, confirmed as specimens, and compared to the samples distributed in the market. The first identification was made by visual observation, and insufficient points were supplemented by stereoscopic observation. Identification criteria were set by considering morphological characteristics of authentic herbs, percentage of adulterants, and distinction between authentic herbs and adulterants. Results : The original plants of PS and AS could be distinguished by upright or lying form of stem, color of flowers, number of leaflets, and presence of hair of fruits. LDS and DS could be distinguished by leaf arrangement on stem: radical or cauline, whole plants size, leaf division, color of flowers, and shape of fruits. The herbal medicines of PS and AS could be distinguished by seed surface pattern, size, and hardness. LDS and DS could be distinguished by size, shape, viscosity when chewed, and degree of mucous layer formation when soaked in water. Conclusions : This study suggests the identification keys of original plants and herbal medicines. Especially, since fine seed herbs are difficult to distinguish by visual observation, the stereoscope should be applied to the discrimination.
Purpose: In this study, we provide a way to assess even a slight effect of exercise on trunk-muscle activity. Materials and Methods: Seven healthy male participants (mean age, 24.7 ± 3.2 years; height, 171.2 ± 9.8 cm; and weight, 63.8 ± 11.9 kg) performed 15 sets of an exercise with 20 repetitions of 90° hip and right-knee flexion while lying supine. The exercise intensity was measured using the 10-point Rating of Perceived Exertion Scale after the first and 15th sets of exercises. Although cross-sectional areas and functional T2 mapping using ultrafast imaging (fast-acquired muscle functional magnetic resonance imaging, fast-mfMRI) have been proposed for imaging to evaluate exercise-induced muscle activity in real time, no previous studies have reported on the evaluation of trunk-muscle activity using functional T2 mapping. As a method for assessing trunk-muscle activity, we compared functional T2 mapping using ultrafast imaging (fast-mfMRI) with cross-sectional areas. Results: Although the muscle cross-sectional areas were increased by the exercise, there was no significant difference at rest. On the other hand, for all sets, the changes in T2 were significant compared with those at rest (P < 0.01). These results demonstrate that T2, calculated from fast-mfMRI images can be used to detect even a small amount of muscle activity induced by acute exercise, which was impossible to do with cross-sectional areas. Conclusion: Fast-mfMRI, which can also display functional information with detailed forms, enabled non-invasive real-time imaging for identifying and evaluating the degree of deep trunk-muscle activity induced by exercise.
Various approaches have been applied to transform aquaculture from a manual, labour-intensive industry to one dependent on automation technologies in the era of the fourth industrial revolution. Technologies associated with the monitoring of physical condition have successfully been applied in most aquafarm facilities; however, real-time biological monitoring systems that can observe fish condition and behaviour are still required. In this study, we used a video recorder placed on top of a fish tank to observe the swimming patterns of rock bream (Oplegnathus fasciatus), first one fish alone and then a group of five fish. Rock bream in the video samples were successfully identified using the you-only-look-once v3 algorithm, which is based on the Darknet-53 convolutional neural network. In addition to recordings of swimming behaviour under normal conditions, the swimming patterns of fish under abnormal conditions were recorded on adding an anaesthetic or lowering the salinity. The abnormal conditions led to changes in the velocity of movement (3.8 ± 0.6 cm/s) involving an initial rapid increase in speed (up to 16.5 ± 3.0 cm/s, upon 2-phenoxyethanol treatment) before the fish stopped moving, as well as changing from swimming upright to dying lying on their sides. Machine learning was applied to datasets consisting of normal or abnormal behaviour patterns, to evaluate the fish behaviour. The proposed algorithm showed a high accuracy (98.1%) in discriminating normal and abnormal rock bream behaviour. We conclude that artificial intelligence-based detection of abnormal behaviour can be applied to develop an automatic bio-management system for use in the aquaculture industry.
IEMEK Journal of Embedded Systems and Applications
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v.17
no.1
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pp.33-40
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2022
With the recent increase in the development of military drones, they are adopted and used as the combat system of battalion level or higher. However, it is difficult to use drones that can be used in battles below the platoon level due to the current conditions for the formation of units in the Korean military. In this paper, therefore, we developed a program drones equipped with a thermal imaging camera and LiDAR sensor for reconnaissance and exploration that can be applied in battles below the platoon level. Using these drones, we studied the possibility and feasibility of drones for small-scale combats that can find hidden enemies, search for an appropriate detour through image processing and conduct reconnaissance and search for battlefields, hiding and cover-up through image processing. In addition to the purpose of using the proposed drone to search for an enemies lying in ambush in the battlefield, it can be used as a function to check the optimal movement path when a combat unit is moving, or as a function to check the optimal place for cover-up or hiding. In particular, it is possible to check another route other than the route recommended by the program because the features of the terrain can be checked from various viewpoints through 3D modeling. We verified the possiblity of flying by designing and assembling in a form of adding LiDAR and thermal imaging camera module to a drone assembled based on racing drone parts, which are open source hardware, and developed autonomous flight and search functions which can be used even by non-professional drone operators based on open source software, and then installed them to verify their feasibility.
Journal of the Korea Society of Computer and Information
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v.27
no.2
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pp.25-32
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2022
In this paper, we propose a pet monitoring system based on deep learning using an activity recognition device. The system consists of a pet's activity recognition device, a pet owner's smart device, and a server. Accelerometer and gyroscope data were collected from an Arduino-based activity recognition device, and the number of steps was calculated. The collected data is pre-processed and the amount of activity is measured by recognizing the activity in five types (sitting, standing, lying, walking, running) through a deep learning model that hybridizes CNN and LSTM. Finally, monitoring of changes in the activity, such as daily and weekly briefing charts, is provided on the pet owner's smart device. As a result of the performance evaluation, it was confirmed that specific activity recognition and activity measurement of pets were possible. Abnormal behavior detection of pets and expansion of health care services can be expected through data accumulation in the future.
Purpose: The purpose of this study is to compare the muscle activity of the hip abductors and the ratio between the hip abductor muscle group according to the range of hip abduction during the clam exercise. Methods: This study was conducted on 18 healthy men in their aged 20 to 29 who had not been diagnosed with spine-related diseases. The subjects performed a clam exercise without rotation of the pelvis in a state of 60° hip flexion and 90° knee joint flexion in the side-lying position. Using Myomotion equipment and EMG, the muscle activity of the hip abductor muscles and the activity ratio between the hip abductor muscle group were measured during the clam exercise by dividing the range into initial, mid-range, and terminal sections. Repeated measures analysis of variants was employed to compare the activity and use of hip abductor muscles according to range of motion during the clam exercise. Results: Gluteus medius muscle activation was significantly increased in the comparison of muscle activity in the initial, mid-range, and terminal sections of hip abduction. Tensor fasciae latae muscle activation was significantly increased in the comparison of muscle activity in all range of motion sections as well. The gluteus medius-tensor fasciae latae muscle activation ratio was significantly increased in the terminal section compared to the initial section. Conclusion: The gluteus medius and tensor fasciae latae had higher muscle activities as they approached the terminal section during the clam exercise, and the hip abduction activity ratio of the gluteus medius and tensor fasciae latae was higher as the range of motion approached the terminal section.
The purpose of this study is to investigate the effect of using socks combined with EMS on ankle pain reduction and ankle function improvement in home training participants. In this study, the conductive fabric was combined using socks that can properly compress the ankle. First, VAS was measured during EMS training after fatigue was induced and compared with fatigue during rest. It was confirmed that the level of VAS after EMS training was lower than after rest and fatigue. It was also confirmed that EMS training, which combines EMS with socks, was effective in reducing pain. The experimental action is a measurement action of WBLT and lying posture, and the situation before and after EMS training was compared by performing 30 minutes on the treadmill to cause delayed muscle pain during exercise. As a result of this study, it was found that pain reduction and ROM function were improved when electrical stimulation was performed using EMS socks. It was also confirmed that the application of electrical stimulation to EMS socks effected on ankle fatigue and function improvement. From the study results, it is expected that wearing socks equipped with EMS significantly reduces ankle injuries and improves functional recovery for home training participants.
Due to a mistranslation of Sanskrit to Chinese, East Asian Buddhist community misunderstands the original meaning of the fundamental word, 'sachal(寺刹)'. Sanskrit chattra, a parasol on top of a venerated Indian stupa buried with Buddha's sarira, became the symbol of majesty. The Indian stupa was transformed into a pagoda in China, and the highlighted parasol on the summit was transliterated into chaldara(刹多羅), an abbreviation for chal (刹), and finally designated the whole pagoda(塔). Sachal consists with lying low monastery and high-rise pagoda. Tapsa(塔寺), an archaic word of temple, is exactly the same as sachal, because chal means tap, pagoda. However, during the 7th century a Buddhist monk erroneously double-transliterated the Sanskrit 'kshetra,' meaning of land, into the same word as chal, even despite phonetic disaccord. Thereafter, sutra translators followed and copied the error for long centuries. It was the Japanese pioneer scholars that worsen the situation 100 years ago, to publish Sanskrit dictionaries with the errors insisting on phonetic transliteration, though pronunciation of 'kshe-' which is quite different from 'cha-.' Thereafter, upcoming scholars followed their fallacy without any verification. Fallacy of chal, meaning of land, dominates Buddhist community broadly, falling into conviction of collective fixed dogma in East Asia up to now. In the Buddhist community, it is the most important matter to recognize that the same language has become to refer completely different objects due to translation errors. As a research method, searching for corresponding Sanskrit words in translated sutras and dictionaries of Buddhism is predominant. Then, after analyzing the authenticity, the fallacy toward the truth will be corrected.
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