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Relationships between Physical Activity, Health Status, and Quality of Life of University Students (대학생의 신체활동량, 건강상태 및 삶의 질과의 관계)

  • Park, Jee Yeon;Kim, Na Hyun
    • Journal of Korean Public Health Nursing
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    • v.27 no.1
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    • pp.153-165
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    • 2013
  • Purpose: The purpose of this study was to identify the relationships between physical activity, health status, and quality of life (QOL) of University students. Methods: The research design was based on a descriptive research design model. This study sample consisted of 183 K University students in D city. Data was collected from December 2012 to January 2013 and analyzed with descriptive statistics (frequency, percentage, analysis of variance (ANOVA), t-test, and Pearson's correlation analysis) using SPSS 19.0. Subjects completed questionnaires on their demographics, physical activity, health status, and QOL. Results: The overall physical activity of participants was $2529.40{\pm}5057.896$ min/week on average. The average health status was $28.66{\pm}6.3$ and the average physical health and mental health were $16.45{\pm}3.955$ and $12.31{\pm}3.446$, respectively. The overall degree of QOL was $3.429{\pm}0.379$. A positive relationship existed between moderate and vigorous activity and health status. In addition, QOL positively correlated with physical health (under health status). However, physical activity was not related with both mental health (under health status) and QOL. Conclusion: Based on the results of this study, health educational programs are needed to promote sufficient physical activity in university students.

No-reference Sharpness Index for Scanning Electron Microscopy Images Based on Dark Channel Prior

  • Li, Qiaoyue;Li, Leida;Lu, Zhaolin;Zhou, Yu;Zhu, Hancheng
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.13 no.5
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    • pp.2529-2543
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    • 2019
  • Scanning electron microscopy (SEM) image can link with the microscopic world through reflecting interaction between electrons and materials. The SEM images are easily subject to blurring distortions during the imaging process. Inspired by the fact that dark channel prior captures the changes to blurred SEM images caused by the blur process, we propose a method to evaluate the SEM images sharpness based on the dark channel prior. A SEM image database is first established with mean opinion score collected as ground truth. For the quality assessment of the SEM image, the dark channel map is generated. Since blurring is typically characterized by the spread of edge, edge of dark channel map is extracted. Then noise is removed by an edge-preserving filter. Finally, the maximum gradient and the average gradient of image are combined to generate the final sharpness score. The experimental results on the SEM blurred image database show that the proposed algorithm outperforms both the existing state-of-the-art image sharpness metrics and the general-purpose no-reference quality metrics.

Preliminary strong ground motion simulation at seismic stations within nuclear power plant sites in South Korea by a scenario earthquake on the causative fault of 2016 Gyeongju earthquake

  • Choi, Hoseon
    • Nuclear Engineering and Technology
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    • v.54 no.7
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    • pp.2529-2539
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    • 2022
  • Stochastic and an empirical Green's function (EGF) methods are preliminarily applied to simulate strong ground motions (SGMs) at seismic stations within nuclear power plant (NPP) sites in South Korea by an assumed large earthquake with MW6.5 (scenario earthquake) on the causative fault of the 2016 Gyeongju earthquake with MW5.5 (mainshock). In the stochastic method, a ratio of spectral amplitudes of observed and simulated waveforms for the mainshock is assumed to be an adjustment factor. In the EGF method, SGMs by the mainshock are simulated assuming SGMs by the 2016 Gyeongju earthquake with MW5.0 (foreshock) as the EGF. To simulate SGMs by the scenario earthquake, a ratio of fault length to width is assumed to be 2:1 in the stochastic method, and SGMs by the mainshock are assumed to be EGF in the EGF method. The results are similar based on a bias of the simulated response spectra by the two methods, and the simulated response spectra by the two methods exceeded commonly standard design response spectra anchored at 0.3 g of NPP sites slightly at a frequency band above 4 Hz, but considerable attention to interpretation is required since it is an indirect comparison.

A novel ID-based multi-domain handover protocol for mesh points in WMNs

  • Zhang, Xue;Li, Guangsong;Han, Wenbao;Ji, Huifang
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.9 no.7
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    • pp.2512-2529
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    • 2015
  • Wireless mesh networks (WMNs) provide an efficient and flexible method to the field of wireless networking, but also bring many security issues. A mesh point may lose all of its available links during its movement. Thus, the mesh point needs to handover to a new mesh point in order to obtain access to the network again. For multi-domain WMNs, we proposed a new ID-based signcryption scheme and accordingly present a novel ID-based handover protocol for mesh points. The mutual authentication and key establishment of two mesh points which belong to different trust domains can be achieved by using a single one-round message exchange during the authentication phase. The authentication server is not involved in our handover authentication protocol so that mutual authentication can be completed directly by the mesh points. Meanwhile, the data transmitted between the two mesh points can be carried by the authentication messages. Moreover, there are no restrictions on the PKG system parameters in our proposed multi-domain ID-based signcryption scheme so our handover scheme can be easily applied to real WMNs circumstances. Security of the signcryption scheme is proved in the random oracle model. It shows that our protocol satisfies the basic security requirements and is resistant to existing attacks based on the security of the signcryption. The analysis of the performance demonstrates that the protocol is efficient and suitable for the multi-domain WMNs environment.

An experimental study on the effect of children's range beverage on bovine enamel (시판중인 어린이음료가 치아 표면의 탈회에 미치는 영향)

  • Baek, Hye-Jin;Kang, Kyung-Hee;Kim, Ji-Hwa
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.10 no.9
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    • pp.2523-2529
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    • 2009
  • The purpose of this study was to observe the demineralization effects of children's range beverage on bovine enamel. 15 bovine teeth without dental caries were divided into 4 experimental groups (n=12) and control group (n=3). All samples immersed in beverages maintained 48 hours by $37^{\circ}C$ in incubate respectively. The surface microhardness values(${\Delta}VHN$) between before and after 48 hours treatment decreased and DIGNOdent value increased because enamel surface were corroded by experimentation beverage. Especially, there was statistical significantly difference in the carbonated drink. Morphological changes by scanning electron microscope were indicated that children's range beverage cause significant enamel demineralization effects on bovine tooth surface among five beverages.

Robot Manipulator Visual Servoing via Kalman Filter- Optimized Extreme Learning Machine and Fuzzy Logic

  • Zhou, Zhiyu;Hu, Yanjun;Ji, Jiangfei;Wang, Yaming;Zhu, Zefei;Yang, Donghe;Chen, Ji
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.16 no.8
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    • pp.2529-2551
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    • 2022
  • Visual servoing (VS) based on the Kalman filter (KF) algorithm, as in the case of KF-based image-based visual servoing (IBVS) systems, suffers from three problems in uncalibrated environments: the perturbation noises of the robot system, error of noise statistics, and slow convergence. To solve these three problems, we use an IBVS based on KF, African vultures optimization algorithm enhanced extreme learning machine (AVOA-ELM), and fuzzy logic (FL) in this paper. Firstly, KF online estimation of the Jacobian matrix. We propose an AVOA-ELM error compensation model to compensate for the sub-optimal estimation of the KF to solve the problems of disturbance noises and noise statistics error. Next, an FL controller is designed for gain adaptation. This approach addresses the problem of the slow convergence of the IBVS system with the KF. Then, we propose a visual servoing scheme combining FL and KF-AVOA-ELM (FL-KF-AVOA-ELM). Finally, we verify the algorithm on the 6-DOF robotic manipulator PUMA 560. Compared with the existing methods, our algorithm can solve the three problems mentioned above without camera parameters, robot kinematics model, and target depth information. We also compared the proposed method with other KF-based IBVS methods under different disturbance noise environments. And the proposed method achieves the best results under the three evaluation metrics.

Location Estimation System based on Majority Sampling Data (머저리티 샘플링 데이터 기반 위치 추정시스템)

  • Park, Geon-Yeong;Jeon, Min-Ho;Oh, Chang-Heon
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.18 no.10
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    • pp.2523-2529
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    • 2014
  • Location estimation service can be provided outdoors using various location estimation system based on GPS. However, location estimation system is based on existing indoor resources as GPS cannot be used because of insufficient visible satellites and weak signals. The fingerprinting technique that uses WLAN signal, in particular, is good to use indoors because it uses RSSI provided by AP to estimate location. However, its accuracy may vary depending on how accurate data the offline stage used where the fingerprinting map is built. The study sampled various data at the stage that builds the fingerprinting map and suggested a location estimation system that enhances its precision by saving the data of high frequency among them to improve this problem. The suggested location estimation system based on majority sampling data estimates location by filtering RSSI data of the highest frequency at the client and server to be saved at a map, building the map and measuring a similar distance. As a result of the test, the location estimation precision stood at minimum 87.5 % and maximum 90.4% with the margin of error at minimum 0.25 to 2.72m.