This study analyzes the chicken-related prescription shown in the literature summarized by standing tradition deliberate aims to investigate the clinical efficacy of native chickens. Therefore, The old traditional medicine books of native chickens translate and organize the relevant prescriptions. The manuscript old documents is prescribed by the old central documents sourced directly from generation to generation descendants technical publishing contemporary situation sake of the development of this unique formulation not only contemporary who established himself through numerous trials and errors. Browse almost circular in traditional medicine prescription, which is scattered throughout the country is difficult, and because of the loss can not be confirmed even its existence. This study is to establish the analysis and separated by organized to establish a database on the basis of prescription and mixed herbs in a variety of functional foods developed through usability evaluation methods of treatment. Therefore, the management systems of native chickens related to lack of knowledge and information to foster the continued expansion and specialized training and knowledge of the future growth engine industry through the added value of cultural projects of national knowledge resources. Finally, convergence research and evaluate the usefulness of native chickens through interdisciplinary research systems, and practical measures of functional foods and alternative medicine are presented as well.
Purpose : To separate and evaluate the low frequency spontaneous fluctuation BOLD signals from the functional magnetic resonance imaging data using sensorimotor active task. Materials and Methods : Twenty female archery players and twenty three control subjects were included in this study. Finger-tapping task consisted of three cycles of right finger tapping, with a subsequent 30 second rest. Blood oxygenation level-dependent (BOLD) data were collected using $T2^*$-weighted echo planar imaging at a 3.0 T scanner. A 3-D FSPGR T1-weighted images were used for structural reference. Image processing and statistical analyses were performed using SPM5 for active finger-tapping task and GIFT program was used for statistical analyses of low frequency spontaneous fluctuation BOLD signal. Results : Both groups showed the activation in the left primary motor cortex and supplemental motor area and in the right cerebellum for right finger-tapping task. ICA analysis using GIFT revealed independent components corresponding to contralateral and ipsilateral sensorimotor network and cognitive-related neural network. Conclusion : The current study demonstrated that the low frequency spontaneous fluctuation BOLD signals can be separated from the fMRI data using finger tapping paradigm. Also, it was found that these independent components correspond to spontaneous and coherent neural activity in the primary sensorimotor network and in the motor-cognitive network.
The development of open-pit mines leads to large-area topographical changes in highland forests and can lead to severe deterioration of forests, requiring continuous monitoring. The drone photogrammetry is performed at a lower altitude than the existing manned aerial photogrammetry, and thus has a relatively high accuracy. The purpose of this study is to construct spatial information of large open pit mine using drone photogrammetry and to evaluate the accuracy and utilization of the results. The accuracy of the drone photogrammetric results was 0.018 ~ 0.063m in the horizontal direction and 0.027m ~ 0.088m in the vertical direction. These results satisfy the permissible accuracy of 1: 1,000 digital topographic map and it can be used for open mine monitoring. The geospatial information of the open pit mine can be used in various ways, and it can be used to monitor the quantitative change of a specific area for time series change through data management by periodic data acquisition. If drone photogrammetry is applied to open-pit mine monitoring in the future, work time and cost can be greatly reduced compared to the conventional GNSS or total station method, and the work efficiency can be greatly improved because more visible data can be generated.
The purpose of this study was to evaluate the canal configuration after shaping by ProFile. ProTaper and K-Flexofile in simulated resin canals with different angles of curvature. Three types of instruments were used: ProFile. ProTaper. K-Flexofile. Simulated root canals. which were made of epoxy resin. were prepared by ProFile. ProTaper with rotary instrument using a crown-down pressureless technique. and hand instrumentation was performed by K-Flexofile using a step-back technique. All simulated. canals were prepared up to size 25 file at end-point of preparation. Pre and post instrumentation images were recorded with Scanner. Assessment of canal shape was completed with Image Analysis program. Measurements were made at 1. 2. 3. 4. 5. 6. 7. 8. 9 and 10mm from the apex. At each level. outer canal width. inner canal width. total canal width. and amount of transportation from original axis were recorded. Instrument deformation and fracture were recorded. Data were analyzed by means of one-way ANOVA analysis of variance and the Sheffe's test. The result was that ProFile and ProTaper maintain original canal shape regardless of the increase of angle of curvature than K-Flexofile. ProFile show significantly less canal transportation and maintained original canal shape better than ProTaper.
Park, Jae-Kook;Yang, In-Tae;Park, Hyeong-Geun;Kim, Tai-Hwan
Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
/
v.26
no.1
/
pp.27-39
/
2008
Landslides cause enormous economic losses and casualties. Korea has mountainous regions and heavy slopes in most parts of the land and has consistently built new roads and large-scale housing complexes according to its industrial and urban growth. As a result, the damage from landslides becomes greater every year. In summer, landslides frequently occur due to local torrential rains and storms. It is critical to predict the potential areas of landslides in advance and to take preventive measures to minimize consequences and to protect property and human life. The previous study on landslides mostly focused on identifying the causes of landslides in the areas where they occurred, and on analyzing landslide vulnerability around the areas without considering rainfall conditions. Thus there were not enough evaluations of the direct risk of landslides to human life. In this study, potentially risky areas for landslides were identified using the GIS data in order to evaluate direct risk on farmlands, roads, and artificial structures that were closely connected to human life. A map of landslide risk was made taking into account rainfall conditions, and a land use map was also drawn with satellite images and digital maps. Both maps were used to identify potentially risky areas for landslides.
Journal of the Korea Academia-Industrial cooperation Society
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v.20
no.4
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pp.293-302
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2019
This study systematically analyzed computer-based driving intervention programs for seniors, to provide the academic background for driving intervention for seniors. Articles published from January 2009 till December 2018 were researched and analyzed. 'PubMed, Google Scholar, and Science Direct' were used to search articles published overseas, and 'RISS, KERIS, and KISS' searched for articles published in Korea. Based on the inclusion and exclusion criteria, totally 359 papers were retrieved, and 10 articles were finally analyzed; 8 articles (80%) were evidence level I, and 2 articles (20%) were evidence level III. Amongst the computer-based interventions, driving simulators (70%) were the most common, followed by two video image training (20%) and one Nintendo Wii program (10%). In most studies, driving simulators trained the cognitive and visual abilities of seniors and enhanced their abilities to cope with risk situations under various simulated circumstances. Other interventions were also reported to have a positive effect. For evaluating elderly drivers, the driving performance evaluation using a driving simulator was the most common; in addition, evaluations of attention, space-time ability, cognitive function, risk perception, depression and anxiety were also commonly used. We believe that it is appropriate to employ computer-based driving intervention programs for seniors to train and evaluate various domains. We expect that these interventions can be used as an effective tool for safe driving.
Choi, Han Sol;Byeon, Joo Hyung;Bang, Gun;Sim, Dong Gyu
Journal of Broadcast Engineering
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v.24
no.3
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pp.463-471
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2019
This paper proposes a method for reducing the complexity of LIC (Local Illuminance Compensation) for bi-directional inter prediction. The LIC performs local illumination compensation using neighboring reconstruction samples of the current block and the reference block to improve the accuracy of the inter prediction. Since the weight and offset required for local illumination compensation are calculated at both sides of the encoder and decoder using the reconstructed samples, there is an advantage that the coding efficiency is improved without signaling any information. Since the weight and the offset are obtained in the encoding prediction step and the decoding step, encoder and decoder complexity are increased. This paper proposes two methods for low complexity LIC. The first method is a method of applying illumination compensation with offset only in bi-directional prediction, and the second is a method of applying LIC after weighted average step of reference block obtained by bidirectional prediction. To evaluate the performance of the proposed method, BD-rate is compared with BMS-2.0.1 using B, C, and D classes of MPEG standard experimental image under RA (Random Access) condition. Experimental results show that the proposed method reduces the average of 0.29%, 0.23%, 0.04% for Y, U, and V in terms of BD-rate performance compared to BMS-2.0.1 and encoding/decoding time is almost same. Although the BD-rate was lost, the calculation complexity of the LIC was greatly reduced as the multiplication operation was removed and the addition operation was halved in the LIC parameter derivation process.
Lee, Youngho;Kim, Sun Kyung;Choi, Jongmyung;Park, Gun Woo;Go, Younghye
Journal of Internet of Things and Convergence
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v.8
no.6
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pp.115-122
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2022
Recently, the importance of CPR training for the layperson has been emphasized to improve the survival rate of out-of-hospital cardiac arrest patients. An accurate and realistic training strategy is required for the CPR training effect for laypersons. In this study, we develop an extended reality (XR) based CPR training system and evaluate its usability. The XR based CPR training system consisted of three applications. First, a 3D heart anatomy image registered to the manikin is transmitted to the smart glasses to guide the chest compression point. The second application provides visual and auditory information about the CPR process through smart glasses. At the same time, the smartwatch sends a vibration notification to guide the compression rate. The 'Add-on-kit' is a device that detects the depth and speed of chest compression via sensors installed on the manikin and sends immediate feedback to the smartphone. One hundred laypersons who participated in this study agreed that the XR based CPR training system has realism and effectiveness. XR based registration technology will contribute to improving the efficiency of CPR training by enhancing realism, immersion, and self-directed learning.
The article focuses on the impact and Acceptance of Hindu culture in Modern Southeast Asian Buddhism. The purpose of this study is to examine critically the influential epic Ramayana on Siam culture, Thai Ramayana version 'Ramakien', reveal instances of Buddhist Modification. The Ramayana by the great sage Valmiki is considered by Indians to be the first great literary work to be produced in India. The influence of this work is to be seen not only through centuries but even in other countries, such as Thailand where there are modified modern versions. In this paper, I have three objectives : (1) I may discuss the epic Ramayana of India gave birth to the Ramakien of Thailand. In modern times Valmiki's epic was made to fit the spiritual trends current in the new Chakri dynasty, which were themselves based on Brahmanic tradition and Theravada buddhism. With regarding to the structure of the Traibhumi cosmography, and the relationship between merit and power implied by this cosmography ranks all beings from demons to deities in a hierarchy of merit which accrues according to karma the actions of past lives. (2) I analyze how to have attempted to dissect the Hindi and Thai version of the Ramayana. The Hindu concept of kingship is also depicted in the life of Rama. The Hindus see in Rama the norm of a true Hindu life characterized by the Caste and Dharma. In Thai transformed version, it does not preach Hindu values of personal or social life. The Ramakien emphasized that the Buddhism were higher than all other laws, and that the King is regarded as the incarnation of Phra Ram, and thus is also the narration of the righteous buddhist ruler. (3) I discuss how cultural or social contexts can influence the structure of the royal Wat. The whole epic was painted by the order of Rama I in the galleries of the Wat Phra Keo. In other words, it is the very centre of the dynastic cult enshrining the Emerald Buddha, the most iconic expression of the Ramakien tradition were officially amalgamated. Rama I was continued the process of elaborating and stabilizing the complex religious pattern, with Buddhism at the pinnacle. My finding will support the idea that the Ramakien is particularly appealing to the Thai people because it presents the image of an ideal king, Rama, who symbolizes the force of virtue or dharma while Thotsakan represents the force of evil. Eventually the force of good prevails. Being Buddhists, the Thai poets bring into the story the Buddhist philosophy(especially, the law of cause and effect, karma). This paper examines the role of the Hindu epic Ramayana in the historical and cultural contact between Hindu India and Buddhist Southeast Asia. It should now be possible to evaluate what elements of Hindu culture were transmitted into Thai through the Rama story.
In this paper, we propose a measurement technique of indoor location based on markerless applicable to AR. The proposed technique has the following originality. The first is to extract feature points and use them to generate local patches to enable faster computation by learning and using only local patches that are more useful than the surroundings without learning the entire image. Second, learning is performed through deep learning using the convolution neural network structure to improve accuracy by reducing the error rate. Third, unlike the existing feature point matching technique, it enables indoor location measurement including left and right movement. Fourth, since the indoor location is newly measured every frame, errors occurring in the front side during movement are prevented from accumulating. Therefore, it has the advantage that the error between the final arrival point and the predicted indoor location does not increase even if the moving distance increases. As a result of the experiment conducted to evaluate the time required and accuracy of the measurement technique of indoor location based on markerless applicable to AR proposed in this paper, the difference between the actual indoor location and the measured indoor location is an average of 12.8cm and a maximum of 21.2cm. As measured, the indoor location measurement accuracy was better than that of the existing IEEE paper. In addition, it was determined that it was possible to measure the user's indoor location in real time by displaying the measured result at 20 frames per second.
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