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Shielding design and analyses of the cold neutron guide hall for the KIPT neutron source facility

  • Zhong, Zhaopeng;Gohar, Yousry
    • Nuclear Engineering and Technology
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    • v.50 no.6
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    • pp.989-995
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    • 2018
  • Argonne National Laboratory of the United States and Kharkov Institute of Physics and Technology (KIPT) of Ukraine have cooperated on the development, design, and construction of a neutron source facility. The facility was constructed at Kharkov, Ukraine, and its commissioning process is underway. The facility will be used for researches, producing medical isotopes, and training young nuclear specialists. The neutron source facility is designed with a provision to include a cryogenically cooled moderator system-a cold neutron source (CNS). This CNS provides low-energy neutrons, which will be used in the scattering experiment and material structures analysis. Cold neutron guides, coated with reflective material for the low-energy neutrons, will be used to transport the cold neutrons to the experimental site. The cold neutron guides would keep the cold neutrons within certain energy and angular space concentrated inside, while most of the gamma rays and high-energy neutrons are not affected by the cold neutron guides. For the KIPT design, the cold neutron guides need to extend several meters outside the main shield of the facility, and curved guides will also be used to remove the gamma and high-energy neutron. The neutron guides should be installed inside a shield structure to ensure an acceptable biological dose in the facility hall. Heavy concrete is the selected shielding material because of its acceptable performance and cost. Shield design analysis was carried out for the CNS guide hall. MCNPX was used as the major computation tool for the design analysis, with neutron and gamma dose calculated separately. Weight windows variance reduction technique was also used in the shield design. The goal of the shield design is to keep the total radiation dose below the $5.0{\mu}Sv/hr$ guideline outside the shield boundary. After a series of iterative MCNPX calculations, the shield configuration and parameters of CNS guide hall were determined and presented in this article.

The Effects of PNF Upper- and Lower-Limb Coordinated Exercise on the Balancing and Walking-Abilities in Stroke Patients (고유수용성신경근촉진법을 적용한 상하지 협응 운동이 뇌졸중 환자의 균형 및 보행능력에 미치는 효과)

  • Cho, Hyuk-Shin;Cha, Hyun-Gyu;Shin, Hyo-Seop
    • PNF and Movement
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    • v.15 no.1
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    • pp.27-33
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    • 2017
  • Purpose: This study examined the effects of upper- and lower-limb coordinated exercise with proprioceptive neuromuscular facilitation (PNF) on stroke patients' recovery of their balancing and walking abilities. Methods: This study was conducted with 30 patients aged at least 60 years and diagnosed with stroke. The patients were randomly assigned to either a PNF upper- and lower-limb coordinated exercise group of 15 patients or an aero-step balance exercise group of 15 patients. To test the subjects' balancing and walking abilities, balancing ability tests and 10-m walking speed tests were conducted before and after the interventions. The patients performed their respective exercises for 30 minutes per session, three times per week for four weeks. The PNF exercise group performed six stages of exercise consisting of a combination of PNF patterns such as sprinting, skating, and striking. The six stages (right striking, right skating, right sprinting, left striking, left skating, and left sprinting) were performed continuously with a rest period of 1 min. after training for 4 min. The exercises for the aero-step balance group consisted of balancing in a two-leg standing position, weight shifting in a two-leg standing position, one-leg standing, squat exercises, marching in place, and squatting on an aero step. Results: The PNF exercise group showed significant improvements in their balancing ability evaluations compared to the aero-step balance group and also showed significant improvements in their 10-m walking speed tests. Conclusion: Based on the results of this study, PNF upper- and lower-limb coordinated exercise resulted in clinical improvements of stroke patients' balancing and walking abilities. Therefore, this type of exercise is recommended as a clinical intervention for the recovery of stroke patients' lower-limb function. Future studies should be conducted with longer intervention periods and more subjects to generalize the study results.

A Study on Electronic Security Guard's Security Performance on Job Satisfaction (기계경비원의 경비능력이 직무만족에 미치는 영향)

  • Shin, Jaehun
    • Journal of the Society of Disaster Information
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    • v.17 no.3
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    • pp.627-639
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    • 2021
  • Purpose: The purpose of this study is to examine the influence of electronic security guard's security performance on the job satisfaction and to make proposals on improvement of employment status and job satisfaction. Method: To accomplish the purpose, this study organized the theoretical background by referring to the preceding researches on the related field. Then, this study conducted a survey on electronic security guards and analyzed the results in statistical methods. Result: According to analysis results, electronic security guard's security performances including academic background, martial art skills, height, weight, and BMI index had a significant influence on factors composing the job satisfaction. Conclusion: To improve the electronic security guard's job satisfaction level, this study suggested measures for improving the wage system and reducing turnover rate. This study also suggested measures for strengthening the physical standards and strengthening the practical training for employment.

Effects of exercise on AKT/PGC1-α/FOXO3a pathway and muscle atrophy in cisplatin-administered rat skeletal muscle

  • Bae, Jun Hyun;Seo, Dae Yun;Lee, Sang Ho;Shin, Chaeyoung;Jamrasi, Parivash;Han, Jin;Song, Wook
    • The Korean Journal of Physiology and Pharmacology
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    • v.25 no.6
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    • pp.585-592
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    • 2021
  • Cisplatin has been reported to cause side effects such as muscle wasting in humans and rodents. The physiological mechanisms involved in preventing muscle wasting, such as the regulation of AKT, PGC1-α, and autophagy-related factor FOXO3a by MuRF 1 and Atrogin-1, remain unclear following different types of exercise and in various skeletal muscle types. Eight-week-old male Wistar rats (n = 34) were assigned to one of four groups: control (CON, n = 6), cisplatin injection (1 mg/kg) without exercise (CC, n = 8), cisplatin (1 mg/kg) + resistance exercise (CRE, n = 9) group, and cisplatin (1 mg/kg) + aerobic exercise (CAE, n = 11). The CRE group performed progressive ladder exercise (starting with 10% of body weight on a 1-m ladder with 2-cm-interval grids, at 85°) for 8 weeks. The CAE group exercised by treadmill running (20 m/min for 60 min daily, 4 times/week) for 8 weeks. Compared with the CC group, the levels of the autophagy-related factors BNIP3, Beclin 1, LC3-II/I ratio, p62, and FOXO3a in the gastrocnemius and soleus muscles were significantly decreased in the CRE and CAE groups. The CRE and CAE groups further showed significantly decreased MuRF 1 and Atrogin-1 levels and increased phosphorylation of AKT, FOXO3a, and PGC1-α. These results suggest that both ladder and aerobic exercise directly affected muscle wasting by modulating the AKT/PGC1-α/FOXO3a signaling pathways regardless of the skeletal muscle type.

Group-based speaker embeddings for text-independent speaker verification (문장 독립 화자 검증을 위한 그룹기반 화자 임베딩)

  • Jung, Youngmoon;Eom, Youngsik;Lee, Yeonghyeon;Kim, Hoirin
    • The Journal of the Acoustical Society of Korea
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    • v.40 no.5
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    • pp.496-502
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    • 2021
  • Recently, deep speaker embedding approach has been widely used in text-independent speaker verification, which shows better performance than the traditional i-vector approach. In this work, to improve the deep speaker embedding approach, we propose a novel method called group-based speaker embedding which incorporates group information. We cluster all speakers of the training data into a predefined number of groups in an unsupervised manner, so that a fixed-length group embedding represents the corresponding group. A Group Decision Network (GDN) produces a group weight, and an aggregated group embedding is generated from the weighted sum of the group embeddings and the group weights. Finally, we generate a group-based embedding by adding the aggregated group embedding to the deep speaker embedding. In this way, a speaker embedding can reduce the search space of the speaker identity by incorporating group information, and thereby can flexibly represent a significant number of speakers. We conducted experiments using the VoxCeleb1 database to show that our proposed approach can improve the previous approaches.

iOS-based Fitness Management System utilizing OpenWrt Server (OpenWrt 서버를 활용한 iOS기반 피트니스 케어 시스템)

  • Kye, Min-seok;Min, Joon-Ki;Yang, Seung-Eui;Park, Sang-No;Jung, Hoe-kung
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2014.10a
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    • pp.687-689
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    • 2014
  • Due to the development of health promotion and health care technology of smartphones paradigm from treatment to manage change, and this is increasing the fitness in time for the user. However, fitness club, users find the right exercise law-personal trainer must be costly to pay companies describes the management system is required in order to operate the high costs strain. In this paper, such as scalable servers to OpenWrt Fonera is mainly based on the client to configure the server iOS mobile sensors collect a user's movement through the history of the user's input. This data is sent to the Web and check whether the receiving system via a trainer is to record the users through weight training and to receive feedback.

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Effects of Isokinetic Strength Exercise of the Hemiparetic Knee Joint on Lower Extremity Sensorimotor and Gait Functions in Patients With Chronic Stroke: Open Kinetic Chain Versus Closed Kinetic Chain

  • An, Chang-man;Roh, Jung-suk
    • Physical Therapy Korea
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    • v.26 no.2
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    • pp.49-60
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    • 2019
  • Background: After stroke, in order to improve gait function, it is necessary to increase the muscle strength and to enhance the propriocetive function of the lower extremity. Objects: This study aimed to compare the effects of open kinetic chain (OKC) versus closed kinetic chain (CKC) isokinetic exercise of the hemiparetic knee using the isokinetic equipment on lower extremity sensorimotor function and gait ability in patients with chronic stroke. Methods: Thirty participants with chronic hemiplegia (> 6 months post-stroke) were randomly divided into 2 equal groups: CKC group and OKC group. Patients from both groups attended conventional physiotherapy sessions 3 times a week for 6 weeks. Additionally, subjects from the CKC group performed isokinetic exercise using the CKC attachment, while those from the OKC group performed isokinetic exercise using the OKC attachment. The isokinetic knee and ankle muscles strength, position sense of the knee joint, and spatiotemporal gait parameters were measured before and after interventions. Results: The knee muscles peak torque/body weight (PT/BW) and hamstring/quadriceps (H/Q) ratio significantly increased in both groups (p<.01). In particular, ankle plantarflexors PT/BW, position sense of the knee, gait velocity, and spatial gait symmetry significantly improved in the CKC group (p<.01, p<.05, p<.01, and p<.01, respectively). Conclusion: CKC isokinetic exercise can be an effective therapeutic intervention for the improvement of sensorimotor function of the lower extremity and gait functions, such as gait velocity and symmetry. CKC position in isokinetic strength training is effective to improve functional ability in patients with chronic stroke.

Solid Particle Erosion Behavior of Inconel 625 Thermal Spray Coating Layers (Inconel 625 열용사 코팅 층의 고상입자 침식 거동)

  • Park, Il-Cho;Han, Min-Su
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.27 no.4
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    • pp.521-528
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    • 2021
  • In this study, to repair damaged economizer fin tubes on ships, sealing treatment was performed after applying arc thermal spray coating technology using Inconel 625. A solid particle erosion (SPE) experiment was conducted according to ASTM G76-05 to evaluate the durability of the substrate, thermal spray coating (TSC), and thermal spray coating+sealing treatment (TSC+Sealing) specimens. The surface damage shape was observed using a scanning electron microscope and 3D laser microscope, and the durability was evaluated through the weight loss and surface roughness analysis. Consequently, the durability of the substrate was superior to that of TSC and TSC+Sealing, which was believed to be owing to numerous pore defects in the TSC layer. In addition, the mechanism of solid particle erosion damage was accompanied by plastic deformation and fatigue, which were the characteristics of ductile materials in the case of the substrate, and the tendency of brittle fracture in the case of TSC and TSC+Sealing was confirmed.

Artificial Neural Network Method Based on Convolution to Efficiently Extract the DoF Embodied in Images

  • Kim, Jong-Hyun
    • Journal of the Korea Society of Computer and Information
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    • v.26 no.3
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    • pp.51-57
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    • 2021
  • In this paper, we propose a method to find the DoF(Depth of field) that is blurred in an image by focusing and out-focusing the camera through a efficient convolutional neural network. Our approach uses the RGB channel-based cross-correlation filter to efficiently classify the DoF region from the image and build data for learning in the convolutional neural network. A data pair of the training data is established between the image and the DoF weighted map. Data used for learning uses DoF weight maps extracted by cross-correlation filters, and uses the result of applying the smoothing process to increase the convergence rate in the network learning stage. The DoF weighted image obtained as the test result stably finds the DoF region in the input image. As a result, the proposed method can be used in various places such as NPR(Non-photorealistic rendering) rendering and object detection by using the DoF area as the user's ROI(Region of interest).

Comparison of CT Exposure Dose Prediction Models Using Machine Learning-based Body Measurement Information (머신러닝 기반 신체 계측정보를 이용한 CT 피폭선량 예측모델 비교)

  • Hong, Dong-Hee
    • Journal of radiological science and technology
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    • v.43 no.6
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    • pp.503-509
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    • 2020
  • This study aims to develop a patient-specific radiation exposure dose prediction model based on anthropometric data that can be easily measurable during CT examination, and to be used as basic data for DRL setting and radiation dose management system in the future. In addition, among the machine learning algorithms, the most suitable model for predicting exposure doses is presented. The data used in this study were chest CT scan data, and a data set was constructed based on the data including the patient's anthropometric data. In the pre-processing and sample selection of the data, out of the total number of samples of 250 samples, only chest CT scans were performed without using a contrast agent, and 110 samples including height and weight variables were extracted. Of the 110 samples extracted, 66% was used as a training set, and the remaining 44% were used as a test set for verification. The exposure dose was predicted through random forest, linear regression analysis, and SVM algorithm using Orange version 3.26.0, an open software as a machine learning algorithm. Results Algorithm model prediction accuracy was R^2 0.840 for random forest, R^2 0.969 for linear regression analysis, and R^2 0.189 for SVM. As a result of verifying the prediction rate of the algorithm model, the random forest is the highest with R^2 0.986 of the random forest, R^2 0.973 of the linear regression analysis, and R^2 of 0.204 of the SVM, indicating that the model has the best predictive power.