• Title/Summary/Keyword: Dynamic Mobility

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Mobile Resource Reliability-based Job Scheduling for Mobile Grid

  • Jang, Sung-Ho;Lee, Jong-Sik
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.5 no.1
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    • pp.83-104
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    • 2011
  • Mobile grid is a combination of grid computing and mobile computing to build grid systems in a wireless mobile environment. The development of network technology is assisting in realizing mobile grid. Mobile grid based on established grid infrastructures needs effective resource management and reliable job scheduling because mobile grid utilizes not only static grid resources but also dynamic grid resources with mobility. However, mobile devices are considered as unavailable resources in traditional grids. Mobile resources should be integrated into existing grid sites. Therefore, this paper presents a mobile grid middleware interconnecting existing grid infrastructures with mobile resources and a mobile service agent installed on the mobile resources. This paper also proposes a mobile resource reliability-based job scheduling model in order to overcome the unreliability of wireless mobile devices and guarantee stable and reliable job processing. In the proposed job scheduling model, the mobile service agent calculates the mobile resource reliability of each resource by using diverse reliability metrics and predicts it. The mobile grid middleware allocated jobs to mobile resources by predicted mobile resource reliability. We implemented a simulation model that simplifies various functions of the proposed job scheduling model by using the DEVS (Discrete Event System Specification) which is the formalism for modeling and analyzing a general system. We also conducted diverse experiments for performance evaluation. Experimental results demonstrate that the proposed model can assist in improving the performance of mobile grid in comparison with existing job scheduling models.

A Study on the Development and Verification of a Korean-style Weekly Economic Activity Index(WEAI) Model in the Public Sector: By Analyzing Major Cases (공공부문 한국형 주간경제지수 모델 개발 및 검증에 관한 연구: 주요사례를 분석하여)

  • Song, Seokhyun
    • Journal of Information Technology Services
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    • v.20 no.5
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    • pp.177-187
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    • 2021
  • The global economy has been very difficult due to the recent impact of COVID-19. Korea is also pushing for strong quarantine policies such as K- quarantine and social distancing, but the economy is hardly recovering. In particular, the economic situation began to change rapidly depending on the export and domestic market, the public's interest in the economy increased, and companies became more sensitive. In order to estimate this rapidly changing economic situation, major advanced countries have also developed models that can periodically monitor the economy at the government level. Through this, by periodically reporting the economic trends, the public and companies can be aware of the economic trends to some extent. This study analyzed the cases of weekly business trends in advanced countries and developed a model of weekly economic activity suitable for Korea. To verify this, indices closely related to the economy such as mobility, industrial activity, face-to-face consumption, and psychology were discovered and estimated. As a result of the study, the weekly economic activity index was judged to be very useful in capturing short-term real economic activity. In the future, in order to secure the robustness and stability of the index and to increase the reflection of reality, model improvement and parameter estimation should be performed regularly.

Characterization of Groundwater Colloids From the Granitic KURT Site and Their Roles in Radionuclide Migration

  • Baik, Min-Hoon;Park, Tae-Jin;Cho, Hye-Ryun;Jung, Euo Chang
    • Journal of Nuclear Fuel Cycle and Waste Technology(JNFCWT)
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    • v.20 no.3
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    • pp.279-296
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    • 2022
  • The fundamental characteristics of groundwater colloids, such as composition, concentration, size, and stability, were analyzed using granitic groundwater samples taken from the KAERI Underground Research Tunnel (KURT) site by such analytical methods as inductively coupled plasma-mass spectrometry, field emission-transmission electron microscopy, a liquid chromatography-organic carbon detector, and dynamic light scattering technique. The results show that the KURT groundwater colloids are mainly composed of clay minerals, calcite, metal (Fe) oxide, and organic matter. The size and concentration of the groundwater colloids were 10-250 nm and 33-64 ㎍·L-1, respectively. These values are similar to those from other studies performed in granitic groundwater. The groundwater colloids were found to be moderately stable under the groundwater conditions of the KURT site. Consequently, the groundwater colloids in the fractured granite system of the KURT site can form stable radiocolloids and increase the mobility of radionuclides if they associate with radionuclides released from a radioactive waste repository. The results provide basic data for evaluating the effects of groundwater colloids on radionuclide migration in fractured granite rock, which is necessary for the safety assessment of a high-level radioactive waste repository.

Proposal of VO2max estimation formula for elderly men and women using functional performance measurement

  • KWON, Young-Ae;LEE, Wan-Young;KIM, Jun-Su
    • The Korean Journal of Food & Health Convergence
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    • v.8 no.1
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    • pp.21-30
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    • 2022
  • This study proposed a multiple regression equation for predicting VO2max of elderly men and women using functional performance variables required to conduct daily activities. The subjects of this study were 58 elderly men (72.4±5.9 yrs) and 117 elderly women (73.4±4.5 yrs) aged 65-90 who belong to the senior welfare center. The maximal graded exercise test using a cycle ergometer and functional performance representing muscle strength, endurance, static and dynamic flexibility, mobility, and agility were measured. For statistical processing, multiple regression analysis was performed, and the statistical significance level was α = .05. As a result, the VO2max estimation formula for the elderly was 0.419 (standing up and sitting down a chair) + 0.199 (leg endurance against wall) + 5.383, and R2=0.406. In addition, the VO2max estimation formula for elderly women is - 0.737 (standing up from a supine position) - 0.144 (waking around two cones in a figure 8) - 0.135 (%body fat) + 0.042 (one leg balance with eyes open) + 29.395, R2=0.367 was calculated. The conclusion is that if the maximal graded exercise test is not available, it is considered that VO2max of the elderly can be predicted properly by using the estimation formula calculated based on the functional performance variable.

Real-time 3D multi-pedestrian detection and tracking using 3D LiDAR point cloud for mobile robot

  • Ki-In Na;Byungjae Park
    • ETRI Journal
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    • v.45 no.5
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    • pp.836-846
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    • 2023
  • Mobile robots are used in modern life; however, object recognition is still insufficient to realize robot navigation in crowded environments. Mobile robots must rapidly and accurately recognize the movements and shapes of pedestrians to navigate safely in pedestrian-rich spaces. This study proposes real-time, accurate, three-dimensional (3D) multi-pedestrian detection and tracking using a 3D light detection and ranging (LiDAR) point cloud in crowded environments. The pedestrian detection quickly segments a sparse 3D point cloud into individual pedestrians using a lightweight convolutional autoencoder and connected-component algorithm. The multi-pedestrian tracking identifies the same pedestrians considering motion and appearance cues in continuing frames. In addition, it estimates pedestrians' dynamic movements with various patterns by adaptively mixing heterogeneous motion models. We evaluate the computational speed and accuracy of each module using the KITTI dataset. We demonstrate that our integrated system, which rapidly and accurately recognizes pedestrian movement and appearance using a sparse 3D LiDAR, is applicable for robot navigation in crowded spaces.

Performance Evaluation of Robotic Physics Engine for Mobile Manipulator Simulation (모바일 매니퓰레이터 시뮬레이션을 위한 로봇 물리 엔진의 성능 평가)

  • Kwanwoo Lee;Junheon Yoon;Suhan Park;Jaeheung Park
    • The Journal of Korea Robotics Society
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    • v.19 no.1
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    • pp.31-38
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    • 2024
  • A mobile manipulator is capable of handling a wide range of workspaces by overcoming the limitations of mobility inherent in existing fixed-base manipulators. To simulate the mobile manipulator, two contact operations should be considered in the physics engines. One of these operations is the grasp stability between the gripper and the object, while the other involves the contact between the wheels of the mobile robot and the ground during driving. However, it is still difficult to choose an appropriate physics engine for simulating these contact operations of the mobile manipulator. In this paper, the performance of physics engines for simulating the mobile manipulator is evaluated. Firstly, the grasp stability of the physics engine is quantitatively evaluated based on the contact force discontinuity. Secondly, when the mobile robot is controlled by open or closed-loop control methods, differences in the path taken by the mobile robot depending on the physics engine are analyzed. To assess the performance of robot simulation, three dynamic simulators-MuJoCo, CoppeliaSim, and IsaacSim-are used along with five physics engines: MuJoCo, Newton, ODE, Bullet, and PhysX.

Evaluation of Seakeeping Performance for an Amphibious Vehicle in Regular Head Waves Using Scaled Model (축소 모형을 활용한 선수 규칙파 중 수륙양용장갑차의 내항 성능 평가)

  • Youngmin Heo;Myungjun Jeon;Hyeon Kyu Yoon
    • Journal of the Society of Naval Architects of Korea
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    • v.61 no.2
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    • pp.77-87
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    • 2024
  • In the present study, seakeeping performance for an amphibious vehicle in regular head waves was analyzed and evaluated experimentally and numerically. First, seakeeping tests were performed to confirm the vehicle's motion response of heave, pitch motion and vertical acceleration in restricted wavelength ratio conditions for a simplified vehicle shape. Numerical analyses were also conducted for a simplified vehicle shape to validate the numerical solver. To simulate the vehicle's motions, multi-degrees of freedom were calculated by a dynamic fluid-body interaction solver in STAR-CCM+. Comparison between numerical and experimental results was carried out for a simplified vehicle shape. Numerical results are in good agreement with experimental results. Second, numerical analyses were performed for a detailed vehicle shape considering seaway wavelength conditions. The seakeeping performance for an amphibious vehicle was evaluated by comparing with the existing ship's seakeeping performance standards.

Clustering-Based Federated Learning for Enhancing Data Privacy in Internet of Vehicles

  • Zilong Jin;Jin Wang;Lejun Zhang
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.18 no.6
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    • pp.1462-1477
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    • 2024
  • With the evolving complexity of connected vehicle features, the volume and diversity of data generated during driving continue to escalate. Enabling data sharing among interconnected vehicles holds promise for improving users' driving experiences and alleviating traffic congestion. Yet, the unintentional disclosure of users' private information through data sharing poses a risk, potentially compromising the interests of vehicle users and, in certain cases, endangering driving safety. Federated learning (FL) is a newly emerged distributed machine learning paradigm, which is expected to play a prominent role for privacy-preserving learning in autonomous vehicles. While FL holds significant potential to enhance the architecture of the Internet of Vehicles (IoV), the dynamic mobility of vehicles poses a considerable challenge to integrating FL with vehicular networks. In this paper, a novel clustered FL framework is proposed which is efficient for reducing communication and protecting data privacy. By assessing the similarity among feature vectors, vehicles are categorized into distinct clusters. An optimal vehicle is elected as the cluster head, which enhances the efficiency of personalized data processing and model training while reducing communication overhead. Simultaneously, the Local Differential Privacy (LDP) mechanism is incorporated during local training to safeguard vehicle privacy. The simulation results obtained from the 20newsgroups dataset and the MNIST dataset validate the effectiveness of the proposed scheme, indicating that the proposed scheme can ensure data privacy effectively while reducing communication overhead.

Study of Patterns According to Changes in Shoulder Angle in Drop Shoulder Sleeves (드롭숄더 슬리브의 어깨각도 변화에 따른 패턴 연구)

  • Ha-Eun Lee; Eun-Hye Lee;Jeong-Woo Choi
    • Journal of the Korea Fashion and Costume Design Association
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    • v.26 no.2
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    • pp.15-32
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    • 2024
  • Modern fashion manifests in forms that mirror the diverse lifestyles and personalities of consumers. It transcends mere aesthetic designs and embodyies practicality. There is a preference for comfortable, highly functional attire, leaning towards easy wear. Casual wear, in particular, embraces a sense of freedom not found in standard business attire. It seeks a comfortable, natural silhouette through tactile fabrics rather than sportswear. Loose, drop shoulder sleeves enhance comfort and mobility and often become key elements in casual wear designs. Given that clothing must balance aesthetics with functionality, especially across various activities, it is natural to prioritize functional design. Research on patterns suited for dynamic conditions is imperative. The rise of drop shoulder styles necessitates the development of corresponding sleeve patterns. It is crucial to differentiate pattern drafting methods due to the resulting silhouette variations. This study aims to categorize drop shoulder pattern drafting techniques based on shoulder extension and angle dimensions. Each method will be examined, and drop shoulder sleeve patterns and wear forms will be studied using a 3D virtual system. This research holds significance in providing valuable insights and foundational data for designing diverse drop shoulder sleeve patterns, contributing to their practical development and advancement.

A Study on Experimental Vibration pre-estimation Techniques of Structure (구조물의 실험적 진동예측 기술에 관한 연구)

  • 이홍기;권형오
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 1992.10a
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    • pp.48-52
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    • 1992
  • 진동원을 가진 장비를 임의의 구조물에 설치할 경우 관심이 되는 문제는 구 조물의 임의의 위치에서의 진동 수준을 추정하는 일이다. 특히 정밀장비를 다루는 반도체 공장에서 크린룸이나, 정밀측정, 분석 실험실등 미진동을 제 어해야 하는 분야에서는 더욱 그 필요성이 대두되고 있다. 진동제어가 필요 한 공간에 대한 진동수준의 예측이 가능할 경우 진동윈이나 수진점(active and passive type)방진에서 최적화된 전달률(transmissibility)을 명확히 결정 할 수 있어 설계와 시행오차를 최소화 할 수 있다. 그러나 이러한 실제문제 를 다룰 경우 대부분 진동제어 구조물은 복잡하고 설치 운용되는 장비들은 대형, 복합장비가 사용되는 것이 일반적이고 수행기간도 여러가지 공정상 단 시간에 이루어져야 하는 현실적인 어려움이 있다. 진동제어가 필요한 구조물 에 대한 임의의 공간에서 진동수준을 신속하고 정확하게 예측하기 위해서는 최소한 두 가지 정보만이라도 명확히 해야 한다. 하나는 장비의 주파수별 정 확한 가진력의 산정이고 다른 하나는 장비가 설치되고 진동제어가 필요한 구조물에 대한 동적특성(dynamic property)이다. 가진력에 대한 정보는 일반 적으로 장비제작사가 제시하는 것이 원칙이나 그렇지 못할 경우 구조해석 기술자(structure engineer)가 해석적으로 추정하거나 또는 명확히 가진 특성 을 알지 못하는 복잡한 장비는 실험적으로 결정해야 한다. 구조물의 동적 특 성을 나타내는 모빌리티(mobility)를 구하는 방법은 해석적인 방법과 실험적 인 방법이 있으나 복합재료, 복잡한 구조형태나, 지지조건, 다양한 결합부의 동적 특성을 정의하여 해석적으로 정확히 해결하기에는 어려움이 있다. 이러 한 제한조건을 손쉽게 해결하는 방법은 실 구조물에 대한 동적실험(dynamic test)을 통하여 단기간에 동적특성을 결정하고 SDM(structure dynamic modification)이나 FRS(force response simulation)를 수행하여 임의의 좌표 공간에 대한 진동수준을 해석적으로 예측할 뿐만 아니라 구조물의 진동제어 를 위한 동적인자를 변경시킬 수 있는 정보를 제공하며 장비를 방진할 경우 신뢰성 있는 전달률을 결정할 수 있다. 실험적으로 철교, 교량이나 건물의 철골구조 및 2층 바닥 등 대,중형의 복잡한 구조물에 대항 동특성을 나타내 는 모빌리티를 결정할 경우 충격 가진 실험이 사용되는 실험장비 측면에서 나 실험을 수행하는 과정이 대체적으로 간편하다. 그러나 이 경우 대상 구조 물을 충분히 가진시킬수 있는 용량의 대형 충격기(large impact hammer)가 필요하게 된다. 이러한 동적실험은 약 길이 61m, 폭 16m의 4경간 교량에 대 하여 동적실험을 수행하여 가능성을 확인하였다. 여기서는 실험실 수준의 평 판모델을 제작하고 실제 현장에서 이루어질 수 있는 진동제어 구조물에 대 한 동적실험 및 FRS를 수행하는 과정과 동일하게 따름으로써 실제 발생할 수 있는 오차나 error를 실험실내의 차원에서 파악하여 진동원을 있는 구조 물에 대한 진동제어기술을 보유하고자 한다.

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