• Title/Summary/Keyword: multi-campus

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Aging-Related Changes in Hand Intrinsic and Extrinsic Muscles and Hand Dexterity : an MRI Investigation

  • Hsu, Jeffrey;Koh, Kyung;Park, Yang-Sun;Kwon, Hyun-Joon;Kim, Yoon-Hyuk;Shin, Joon-Ho;Shim, Jae-Kun
    • Korean Journal of Applied Biomechanics
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    • v.25 no.4
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    • pp.371-381
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    • 2015
  • Object : The purpose of this study was to investigate aging-related changes of intrinsic and extrinsic hand muscles in their strength, cross-sectional area and volume, force control, and multi-digit synergies. It was hypothesized that aging would negatively affect distal muscles (intrinsic muscles) more than proximal muscles (extrinsic muscles). Method : Nine young and eleven older right-handed participants underwent MRI scans of the hand and forearm. Muscle cross-sectional areas and volumes of the intrinsic and extrinsic hand muscles were determined. Result : Muscle volume of the intrinsic muscles were larger in the younger group than the older group while muscle volume of the extrinsic muscles did not differ. For the cross-sectional area, both the intrinsic and extrinsic muscles of the younger group were larger than the older group. The maximum strength of the intrinsic muscles of the young group was 31% greater than the older group ($399.1{\pm}26.4$ vs $270.2{\pm}22.9Ncm$, p < 0.05) while the extrinsic muscles showed no significant difference. Although the elderly group showed a trend of decreased force control and multi-digit synergies, no statistical differences were found. These findings indicate aging-related decreases in hand muscle size and strength affect intrinsic muscles more than extrinsic muscles, thus supporting the hypothesis that sarcopenia affects the muscle size and strength of distal muscles more than proximal muscles. Conclusion : The aging-related decreases in hand muscle size and function were more apparent in intrinsic hand muscles, located more distally, than extrinsic muscles, located more proximally.

Online Education System for Work Based Learning Dual System (일-학습 병행을 위한 온라인 교육 시스템)

  • Kwon, Oh-Young
    • Journal of Practical Engineering Education
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    • v.5 no.2
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    • pp.163-168
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    • 2013
  • The vicious cycle of over-education has been made. That is, higher education enrollment rate is high, but university graduate employment rate is low. To eliminate this cycle and relieve youth unemployment and young people to enter the labor market early, dual education and training system is needed. This dual system can support working and learning in parallel. So, worker can get the opportunity pre-employment and post-learning and improve his/her job skills. Recent MOOC (Massive Open On-line Course), a new form of online education system, has emerged. MOOC combines education, entertainment and social networking, and emphasize the interaction between faculty and student and between students. The educational contents of MOOC are available free of charge. Using newly changed online education environments we can effectively provide knowledge and skills. In technology and engineering education hands-on training is necessary. In order to support work based learning dual system for worker to work and learn in parallel, we should build the multi-learning system to combine the online education and campus hands-on practice.

Factors Associated With Smoking, Quit Attempts and Attitudes towards Total Smoking Bans at University: A Survey of Seven Universities in England, Wales and Northern ireland

  • Ansari, Walid El;Stock, Christiane
    • Asian Pacific Journal of Cancer Prevention
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    • v.13 no.2
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    • pp.705-714
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    • 2012
  • Objectives: This study assessed the associations between socio-demographic, health and wellbeing variables (independent variables) and daily smoking, attempts to quit smoking, and agreement with smoking ban (dependent variables). Methods: Data from 3,706 undergraduate students were collected from seven universities in England, Wales, and Northern Ireland using a standardised questionnaire. Results: About 15.8% of the whole sample reported daily smoking, while 12% were occasional smokers. Smoking was significantly more prevalent among males, but the difference was due to a higher rate of occasional smokers. About every second smoker (55%) had attempted to quit smoking. Almost 45% of the whole sample agreed or strongly agreed with implementing a total smoking ban on campus. Daily smoking was more likely among students with not sufficient income, students whose fathers had at least a bachelor degree; and, students who reported binge drinking. Conversely, daily smoking was less likely among students who rated their health as very good/ excellent, those who ate ${\geq}5$ portions of fruit or vegetables, and those who had never taken illicit drugs. Previous attempt/s to quit smoking were more likely among students who have never taken illicit drugs and those who agreed with a total smoking ban; and less likely among those with not sufficient income. Daily smokers were less likely to report quit attempts as compared to occasional smokers. An agreement with smoking ban was more likely among students who rated their health as very good/excellent, those who ate ${\geq}5$ portions of fruit or vegetables daily, and those who had never taken illicit drugs, but less likely among daily smokers. Conclusion: Favourable health practices and positive attitudes towards smoking ban were associated with each other. Interventions would need to comprise multi-component programmes that do not solely focus on smoking prevention/cessation, but also on other health promoting practices as well.

The Daylight and Energy Performance Evaluation of Multi-purpose Solar Window System Using Simulaton Program (시뮬레이션에 의한 다기능 복합 솔라윈도우 시스템의 채광과 에너지성능평가)

  • Jeong, Yeol-Wha;Lee, Seun-Myung
    • Journal of the Korean Solar Energy Society
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    • v.31 no.6
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    • pp.103-110
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    • 2011
  • The aim of this study was to analysis the Heating/cooling performance and Daylighting performance of Solar Window System built in apartments. the solar window is the idea to integrate daylight as a third form of solar energy into a PV/Solar Collector system. The process of this study is as follows: 1)Solar Window system was designed through the investigation of previous paper and work. 2)The simulation program(Lightscape3.2) was used in daylighting performance analysis. the reference model of simulation was made up to analysis daylighting performance on Solar Window system. 3)The simulation program(ESP-r, Therm5.0, Window6.0) was used in energy performance analysis. the reference model of simulation was made up to analysis energy and daylighting performance on Solar Window system. 4)The Size of Simulation model for daylighting and heating/cooling energy analysis was $148.5m^2$ 5)The lighting performance analysis was carried out with various variants, such as the size and installed area of Solar Window system. 6)Energy performance simulation was carried out with various variants, such as Integrated U-value of Solar Window system according to its position, installed angle and insulation thickness. Consequently, When Solar Window system is equipped with balcony window of Apartment, Annual heating and cooling energy of reference model was cut down at the average of $4.1kWh/m^2$ or 4.2%.

Constructionarium: Turning Theory Into Practice

  • Stevens, Julia
    • International conference on construction engineering and project management
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    • 2022.06a
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    • pp.1220-1220
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    • 2022
  • Constructionarium Ltd is a not-for-profit organisation which delivers a residential, experiential, immersive learning opportunity to university students from across the built environment education sector. Since 2002, the Constructionarium education model has been available to students in engineering, construction management and architecture at a purpose built, 19-acre multi-disciplinary training facility in Bircham Newton, England simulating real site life and reflecting site processes, practices and health and safety requirements. The unique approach of Constructionarium puts experiential learning and sustainability at the heart of everything. In a week, students develop a practical understanding of the construction process, develop transferable skills, build a team and are exposed to the latest in sustainable technologies. Experiential learning is what differentiates a Constructionarium project from regular field trips or site visits. At Constructionarium the focus is on learning by participation rather than learning through theory or watching a demonstration. The projects cannot be replicated in a classroom or on campus. Using the hands-on construction of scaled down versions of iconic structures from around the world, students learn that it requires the involvement of the whole construction team to successfully complete their project. Skills such as communication, planning, budgeting, time management and decision making are woven into a week-long interrelationship with industry professionals, academic mentors and trades workers. Working together to enhance transferable skills brings the educational environment into the reality of completing an actual construction project handled by the students. Constructionarium has used this transformational learning model to educate thousands of students from all over the United Kingdom, Europe and Asia. Texas A&M University in the United States has sent multiple teams of students from its Department of Construction Science every operational year since 2016.

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An Anomaly Detection Framework Based on ICA and Bayesian Classification for IaaS Platforms

  • Wang, GuiPing;Yang, JianXi;Li, Ren
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.10 no.8
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    • pp.3865-3883
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    • 2016
  • Infrastructure as a Service (IaaS) encapsulates computer hardware into a large amount of virtual and manageable instances mainly in the form of virtual machine (VM), and provides rental service for users. Currently, VM anomaly incidents occasionally occur, which leads to performance issues and even downtime. This paper aims at detecting anomalous VMs based on performance metrics data of VMs. Due to the dynamic nature and increasing scale of IaaS, detecting anomalous VMs from voluminous correlated and non-Gaussian monitored performance data is a challenging task. This paper designs an anomaly detection framework to solve this challenge. First, it collects 53 performance metrics to reflect the running state of each VM. The collected performance metrics are testified not to follow the Gaussian distribution. Then, it employs independent components analysis (ICA) instead of principal component analysis (PCA) to extract independent components from collected non-Gaussian performance metric data. For anomaly detection, it employs multi-class Bayesian classification to determine the current state of each VM. To evaluate the performance of the designed detection framework, four types of anomalies are separately or jointly injected into randomly selected VMs in a campus-wide testbed. The experimental results show that ICA-based detection mechanism outperforms PCA-based and LDA-based detection mechanisms in terms of sensitivity and specificity.

Energy Efficient Cell Management by Flow Scheduling in Ultra Dense Networks

  • Sun, Guolin;Addo, Prince Clement;Wang, Guohui;Liu, Guisong
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.10 no.9
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    • pp.4108-4122
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    • 2016
  • To address challenges of an unprecedented growth in mobile data traffic, the ultra-dense network deployment is a cost efficient solution to off-load the traffic over other small cells. However, the real traffic is often much lower than the peak-hour traffic and certain small cells are superfluous, which will not only introduce extra energy consumption, but also impose extra interference onto the radio environment. In this paper, an elastic energy efficient cell management scheme is proposed based on flow scheduling among multi-layer ultra-dense cells by a SDN controller. A significant power saving was achieved by a cell-level energy manager. The scheme is elastic for energy saving, adaptive to the dynamic traffic distribution in the office or campus environment. In the end, the performance is evaluated and demonstrated. The results show substantial improvements over the conventional method in terms of the number of active BSs, the handover times, and the switches of BSs.

Generation of 3D Campus Models using Multi-Sensor Data (다중센서데이터를 이용한 캠퍼스 3차원 모델의 구축)

  • Choi Kyoung-Ah;Kang Moon-Kwon;Shin Hyo-Sung;Lee Im-Pyeong
    • Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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    • 2006.04a
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    • pp.205-210
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    • 2006
  • With the development of recent technology such as telematics, LBS, and ubiquitous, the applications of 3D GIS are rapidly increased. As 3D GIS is mainly based on urban models consisting of the realistic digital models of the objects existing in an urban area, demands for urban models and its continuous update is expected to be drastically increased. The purpose of this study is thus to propose more efficient and precise methods to construct urban models with its experimental verification. Applying the proposed methods, the terrain and sophisticated building models are constructed for the area of $270,600m^2$ with 23 buildings in the University of Seoul. For the terrain models, airborne imagery and LIDAR data is used, while the ground imagery is mainly used for the building models. It is found that the generated models reflect the correct geometry of the buildings and terrain surface. The textures of building surfaces, generated automatically using the projective transformation however, are not well-constructed because of being blotted out and shaded by objects such as trees, near buildings, and other obstacles. Consequently, the algorithms on the texture extraction should be improved to construct more realistic 3D models. Furthermore, the inside of buildings should be modeled for various potential applications in the future.

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Tobacco Use, Beliefs and Risk Awareness in University Students from 24 Low, Middle and Emerging Economy Countries

  • Peltzer, Karl;Pengpid, Supa
    • Asian Pacific Journal of Cancer Prevention
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    • v.15 no.22
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    • pp.10033-10038
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    • 2014
  • The aim of this study was to determine the prevalence of tobacco use, beliefs and risk awareness and psychosocial correlates of tobacco use among university students in 24 low, middle and emerging economy countries. Using anonymous questionnaires, data were collected from 16953 undergraduate university students (mean age 20.9, SD=2.9) from 25 universities in 24 countries across Asia, Africa and the Americas. Results indicate that overall 13.3% of the university students were current tobacco users, 22.4% for men and 6.6% for women, ranging from 3.8% in Singapore to 32.5% in Cameroon. The risk awareness of the smoking lung cancer link was 83.6%, while the risk awareness of the smoking heart disease link was 46.5%. Multivariate logistic regression found that older age, male gender, having a wealthy family background, living in a low income country, residing off campus on their own, poor beliefs in the importance not to smoke, awareness of the smoking heart disease link, hit by a sexual partner, depressive symptoms, and substance use (binge drinking and illicit drug use) were associated with current tobacco use.

RELATIONSHIP BETWEEN AEROSOLS AND SPM

  • Yasumoto, Masayoshi;Mukai, Sonoyo;Sano, Itaru
    • Proceedings of the KSRS Conference
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    • v.1
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    • pp.305-307
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    • 2006
  • A multi-spectral photometer was set up as an NASA/AERONET site at Kinki University campus in Higashi-Osaka in 2002 for measuring urban aerosols. In addition, the SPM-613D (Kimoto Electric) commenced measurement of suspended particles matter (SPM) as $PM_{10}$ and $PM_{2.5}$ on March 15, 2004 at the same AERONET site. The obtained results revealed that the poor air quality of the Higashi-Osaka site is due not only to anthropogenic particles from local emissions, such as diesel vehicles and chemical industries, but also to dust particles brought from continental desert areas by large scale climatic conditions. To understand the characteristics of background atmosphere over Higashi-Osaka, we examined the relationship between $PM_{2.5}$ concentration and aerosol optical thickness (AOT) at a wavelength of 0.87 μm based on AERONET data for background atmosphere (AOT<0.2). We obtained a linear regression line between AOT and $PM_{2.5}$ concentration. Using the linear relationships between AOT and $PM_{2.5}$, we show ground-level concentrations of $PM_{2.5}$ of background atmosphere from Terra/MODIS satellite measurements.

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