• Title/Summary/Keyword: Task-load

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A hybrid conventional computer simulation via GDQEM and Newmark-beta techniques for dynamic modeling of a rotating micro nth-order system

  • Fan, Linyuan;Zhang, Xu;Zhao, Xiaoyang
    • Advances in nano research
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    • v.12 no.2
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    • pp.167-183
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    • 2022
  • In this paper, the free and forced vibration analysis of rotating cantilever nanoscale cylindrical beams and tubes is investigated under the external dynamic load to examine the nonlocal effect. A couple of nonlocal strain gradient theories with different beams and tubes theories, involving the Euler-Bernoulli, Timoshenko, Reddy beam theory along with the higher-order tube theory, are assumed to the mathematic model of governing equations employing the Hamilton principle in order to derive the nonlocal governing equations related to the local and accurate nonlocal boundary conditions. The two-dimensional functional graded material (2D-FGM), made by the axially functionally graded (AFG) in conjunction with the porosity distribution in the radial direction, is considered material modeling. Finally, the derived Partial Differential Equations (PDE) are solved via a couple of the generalized differential quadrature element methods (GDQEM) with the Newmark-beta techniques for the time-dependent results. It is indicated that the boundary conditions equations play a crucial task in responding to nonlocal effects for the cantilever structures.

A Resource Planning Policy to Support Variable Real-time Tasks in IoT Systems (사물인터넷 시스템에서 가변적인 실시간 태스크를 지원하는 자원 플래닝 정책)

  • Hyokyung Bahn;Sunhwa Annie Nam
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.23 no.4
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    • pp.47-52
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    • 2023
  • With the growing data size and the increased computing load in machine learning, energy-efficient resource planning in IoT systems is becoming increasingly important. In this paper, we suggest a new resource planning policy for real-time workloads that can be fluctuated over time in IoT systems. To handle such situations, we categorize real-time tasks into fixed tasks and variable tasks, and optimize the resource planning for various workload conditions. Based on this, we initiate the IoT system with the configuration for the fixed tasks, and when variable tasks are activated, we update the resource planning promptly for the situation. Simulation experiments show that the proposed policy saves the processor and memory energy significantly.

Automated Data Analysis of Floor Plans for the Remodeling of Apartment Housing

  • Seo, Wonseok;Kim, Seongah;Park, Junseok;Kim, Jinyoung
    • International conference on construction engineering and project management
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    • 2022.06a
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    • pp.1059-1066
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    • 2022
  • In 2020, it was estimated that more than 2.4 million households in South Korea are over 30 years old. That is, more than 40% of all houses in Korea are old and that they require proper rehabilitation. The two options to improve poor living conditions are reconstruction and remodeling. Compared to reconstruction, remodeling has advantages in terms of the construction period, cost, and environmental impact. As such, the current Korean regulations are more favorable for remodeling than reconstruction. Typically, several candidate floor plans are presented in the early stages of an apartment remodeling project. Extracting information about bearing walls and other structural elements from the multiple plans to compare those plans quantitatively is one of the essential tasks during the early stage of a project. To cope with this task, an automated data extraction method for walls and slabs from before and after remodeling plans is developed. Through the developed program, load-bearing walls, non-bearing walls, slabs, and weight changes after remodeling can be analyzed and visualized in a fast and automated manner.

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Defining the Scope of the Internet of Things with a Particular Focus on Its Role in Healthcare: A Review Paper

  • Abdulaziz Alomari;Ben Soh
    • International Journal of Computer Science & Network Security
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    • v.23 no.4
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    • pp.187-197
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    • 2023
  • Today's world is experiencing rapid technological advancement like never before. The ever-changing technology space has overwhelmed citizens with a substantial load of information, which has made it difficult for them to keep up with the technology awareness. This review paper is written to provide information about the Internet of Things in a way that technical along with nontechnical individuals can understand the definition, historical evolution, components, and scope of IoT technology. Relevant literature published between January 2009 and February 2023 was included in this paper. The applications of the Internet of Things in healthcare have been a special focus of this paper as IoT has massive potential in this field and healthcare professionals often face significant issues in keeping their technology knowledge up to date. Moreover, some of the most common issues associated with IoT introduction in healthcare are also discussed in the paper along with some suitable recommendations. Although, IoT can significantly transform our lives and can introduce convenience and efficiency, particularly in the healthcare sector. However, its adoption in healthcare is still a major task due to various challenges presented by the health workforce. Thus, in-depth empirical research is suggested to assist the IoT technology transition.

Comparison of Six Observational Methods for Assessing Arm- and Hand-intensive Tasks (어깨 및 팔 동작 부하 측정을 위한 관찰적 기법 비교)

  • Dohyung Kee
    • Journal of the Korea Safety Management & Science
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    • v.26 no.2
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    • pp.87-92
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    • 2024
  • This study aims to compare six observational methods for assessing arm- and hand-intensive tasks, based on literature review. The comparison was conducted in viewpoints of body regions, force/external load, motion repetition, other factors including static posture, coupling, duration/break, pace, temperature, precision task, and final risk or exposure level. The number of risk factors assessed was more, and assessment procedure was more complex than the observational methods for assessing whole-body postural loads such as Ovako Working Posture Analysis System(OWAS), Rapid Upper Limb Assessment(RULA), and Rapid Entire Body Assessment(REBA). Due to these, the intra- and inter-reliabilities were not high. A past study showed that while Hand Arm Risk Assessment Method(HARM) identified the smallest proportion of the work tasks as high risk, Strain Index(SI) and Quick Exposure Check(QEC) hand/wrist were the most rigorous with classifying most work tasks as high risk. This study showed that depending on the observational technique compared, the evaluation factors, risk or exposure level, and evaluation results were different, making it necessary to select a technique appropriate for the characteristics of the work being assessed.

EEG based Cognitive Load Measurement for e-learning Application (이러닝 적용을 위한 뇌파기반 인지부하 측정)

  • Kim, Jun;Song, Ki-Sang
    • Korean Journal of Cognitive Science
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    • v.20 no.2
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    • pp.125-154
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    • 2009
  • This paper describes the possibility of human physiological data, especially brain-wave activity, to detect cognitive overload, a phenomenon that may occur while learner uses an e-learning system. If it is found that cognitive overload to be detectable, providing appropriate feedback to learners may be possible. To illustrate the possibility, while engaging in cognitive activities, cognitive load levels were measured by EEG (electroencephalogram) to seek detection of cognitive overload. The task given to learner was a computerized listening and recall test designed to measure working memory capacity, and the test had four progressively increasing degrees of difficulty. Eight male, right-handed, university students were asked to answer 4 sets of tests and each test took from 61 seconds to 198 seconds. A correction ratio was then calculated and EEG results analyzed. The correction ratio of listening and recall tests were 84.5%, 90.6%, 62.5% and 56.3% respectively, and the degree of difficulty had statistical significance. The data highlighted learner cognitive overload on test level of 3 and 4, the higher level tests. Second, the SEF-95% value was greater on test3 and 4 than on tests 1 and 2 indicating that tests 3 and 4 imposed greater cognitive load on participants. Third, the relative power of EEG gamma wave rapidly increased on the 3rd and $4^{th}$ test, and signals from channel F3, F4, C4, F7, and F8 showed statistically significance. These five channels are surrounding the brain's Broca area, and from a brain mapping analysis it was found that F8, right-half of the brain area, was activated relative to the degree of difficulty. Lastly, cross relation analysis showed greater increasing in synchronization at test3 and $4^{th}$ at test1 and 2. From these findings, it is possible to measure brain cognitive load level and cognitive over load via brain activity, which may provide atimely feedback scheme for e-learning systems.

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A Performance Enhancement Scheme of Hierarchical Mobility Management in IPv6 Networks (IPv6 네트워크에서 계층적 이동성 관리의 성능향상 방안)

  • Seo, Jae-Kwon;Lee, Kyug-Geun
    • Journal of the Institute of Electronics Engineers of Korea TC
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    • v.44 no.10
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    • pp.119-126
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    • 2007
  • Recently, the mobility of users and mobile communication technologies have developed rapidly. The users in this state also want to connect their devices and to receive services anywhere, anytime. Hierarchical Mobile IPv6 (HMIPv6) has been proposed by the Internet Engineering Task Force (IETF) to compensate for such problems as handover latency and signaling overhead when employing Mobile IPv6 (MIPv6). HMIPv6 supports micro-mobility within a domain and introduces a new entity, namely Mobility Anchor Point (MAP) as a local home agent. However, HMIPv6 has been found to cause longer handover latency when the inter-domain handover occurs. This is because a Mobile Node (MN) has to generate two addresses and register them to Home Agent (HA) a MAP, respectively. In order to solve such problems, we propose a scheme that an MN generates one address and registers it to HA for supporting fast handover during the inter-domain handover process. In the proposed scheme, the load of MAP and MAP domain is reduced because the number of MNs which are managed by MAP is decreased and the MAP does not perform proxy Neighbor Discovery Protocol (NDP) to intercept packets destined to MNs. We evaluate the performance of proposed scheme in comparison to HMIPv6 through the simulation and numerical analysis.

The Level of Fatigue and Motor Performance During Drum Playing Depending on Co-Presence of Singing Tasks in Patients With Chronic Stroke (전자 드럼 연주 시 노래부르기 유무에 따른 만성 뇌졸중 환자의 피로도 및 운동 수행력 비교)

  • Kim, Hyun Ji
    • Journal of Music and Human Behavior
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    • v.14 no.2
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    • pp.71-90
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    • 2017
  • The purpose of this study was to compare immediate differences in fatigue and motor performance during instrumental playing in patients with chronic stroke depending on whether singing task was concurrently presented. A total of 12 patients with chronic stroke were recruited from community and daycare centers for older adults in Seoul. Six subjects were randomly assigned to the experimental group and six to the comparison group. The experimental group was asked to sing while playing the electronic drum, and the comparison group only played the drum. The results of this study showed that statistically significant differences in perceived fatigue and exertion were found between the two groups, while no significant group differences were found in level of engagement in playing or force of tapping during drum playing. This study supports the inclusion of a singing task in instrument playing rehabilitation to effectively decrease perceived fatigue and level of intensity of exercises, although this may not lead to immediate changes in motor function or level of target exercises. The results indicate that singing while instrument playing may help stroke patients shift their attention from the executed motor movements to singing and alleviate the attentional and emotional load from intense movements. This study presents implications for how to select and pattern target movements in music therapy intervention for better motor outcomes.

Models for Hydration Heat Development and Mechanical Properties of Ultra High Performance Concrete (초고성능 콘크리트의 수화발열 및 역학적 특성 모델)

  • Cha, Soo-Won;Kim, Ki-Hyun;Kim, Sung-Wook;Park, Jung-Jun;Bae, Sung-Geun
    • Journal of the Korea Concrete Institute
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    • v.22 no.3
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    • pp.389-397
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    • 2010
  • Concrete has excellent mechanical properties, high durability, and economical advantages over other construction materials. Nevertheless, it is not an easy task to apply concrete to long span bridges. That's because concrete has a low strength to weight ratio. Ultra high performance concrete (UHPC) has a very high strength and hence it allows use of relatively small section for the same design load. Thus UHPC is a promising material to be utilized in the construction of long span bridges. However, there is a possibility of crack generation during the curing process due to the high binder ratio of UHPC and a consequent large amount of hydration heat. In this study, adiabatic temperature rise and mechanical properties were modeled for the stress analysis due to hydration heat. Adiabatic temperature rise curve of UHPC was modeled superposing 2-parameter model and S-shaped function, and the Arrhenius constant was determined using the concept of equivalent time. The results are verified by the mock-up test measuring the temperature development due to the hydration of UHPC. In addition, models for mechanical properties such as elastic modulus, tensile strength and compressive strength were developed based on the test results from conventional load test and ultrasonic pulse velocity measurement.

Arithmetic Fluctuation Effect affected by Induced Emotional Valence (유발된 정서가에 따른 계산 요동의 효과)

  • Kim, Choong-Myung
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.19 no.2
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    • pp.185-191
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    • 2018
  • This study examined the type and extent of interruption between induced emotion and succeeding arithmetic operation. The experiment was carried out to determine the influence of the induced emotions (anger, joy, and sorrow) and stimulus types (picture and sentence) on the cognitive process load that may block the interactions among the constituents of working memory. The study subjects were 32 undergraduates who were similar with respect to age and education parameters and were especially instructed to attend to induced emotion by imitation of facial expression and to make a correct decision during the remainder calculation task. In the results, the stimulus types did not exhibit any difference but there was a significant difference among the induced emotion types. The difference was observed in slower response time at positive emotion(joy condition) as compared with other emotions(anger and sorrow). More specifically, error and delayed correct response rate for emotion types were analysed to determine which phase the slower response was associated with. Delayed responses of the joy condition by sentence-inducing stimulus were identified with the error rate difference, and those by picture-inducing stimulus with the delayed correct response rate. These findings not only suggest that induced positive emotion increased response time compared to negative emotions, but also imply that picture-inducing stimulus easily affords arithmetic fluctuation whereas sentence-inducing stimulus results in arithmetic failure.