• Title/Summary/Keyword: state-delay

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Performance Analysis of a Novel Distributed C-ARQ Scheme for IEEE 802.11 Wireless Networks

  • Wang, Fan;Li, Suoping;Dou, Zufang;Hai, Shexiang
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.13 no.7
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    • pp.3447-3469
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    • 2019
  • It is well-known that the cooperative communication and error control technology can improve the network performance, but most existing cooperative MAC protocols have not focused on how to cope with the contention process caused by cooperation and how to reduce the bad influence of channel packet error rate on the system performance. Inspired by this, this paper first modifies and improves the basic rules of the IEEE 802.11 Medium Access Control (MAC) protocol to optimize the contention among the multi-relay in a cooperative ARQ scheme. Secondly, a hybrid ARQ protocol with soft combining is adopted to make full use of the effective information in the error data packet and hence improve the ability of the receiver to decode the data packet correctly. The closed expressions of network performance including throughput and average packet transmission delay in a saturated network are then analyzed and derived by establishing a dedicated two-dimensional Markov model and solving its steady-state distribution. Finally, the performance evaluation and superiority of the proposed protocol are validated in different representative study cases through MATLAB simulations.

Vertical Stiffness and Lower Limb Kinematic Characteristics of Children with Down Syndrome during Drop Landing (드롭랜딩 동작 시 다운증후군 아동들의 수직 강성과 하지 운동학적 특성)

  • Koo, Dohoon;Maeng, Hyokju;Yang, Jonghyun
    • Korean Journal of Applied Biomechanics
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    • v.29 no.3
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    • pp.137-143
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    • 2019
  • Objective: Ligament laxity and hypotonia are characteristics of Down syndrome patients. The aim of this study was to compare the landing pattern between Down syndrome patients and typically developing subjects. To compare the landing pattern, variables related to ligament laxity and hypotonia i.e. vertical stiffness and lower extremities kinematics were investigated. Method: Five subjects with Down syndrome (age: $14.6{\pm}1.8years$, mass: $47.6{\pm}6.94kg$, height: $147.9{\pm}6.0cm$) and six able-bodied subjects (age: $13.2{\pm}0.4years$, mass: $54.7{\pm}6.7kg$, height: $160.1{\pm}9.8cm$) participated in this study. Results: The vertical displacement of the center of mass, vertical reaction force, leg stiffness and range of ankle angle range among Down syndrome patients were significantly different than typically developing group. The youth with Down's syndrome appeared to receive greater vertical impact force at landing than normal youth. Conclusion: The differences in the biomechanical characteristics suggest the delay in motor development among Down syndrome patients and an increased risk of injury to the lower extremity during movement execution such as drop landing.

A QoS-aware Adaptive Coloring Scheduling Algorithm for Co-located WBANs

  • Wang, Jingxian;Sun, Yongmei;Luo, Shuyun;Ji, Yuefeng
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.12 no.12
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    • pp.5800-5818
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    • 2018
  • Interference may occur when several co-located wireless body area networks (WBANs) share the same channel simultaneously, which is compressed by resource scheduling generally. In this paper, a QoS-aware Adaptive Coloring (QAC) scheduling algorithm is proposed, which contains two components: interference sets determination and time slots assignment. The highlight of QAC is to determine the interference graph based on the relay scheme and adapted to the network QoS by multi-coloring approach. However, the frequent resource assignment brings in extra energy consumption and packet loss. Thus we come up with a launch condition for the QAC scheduling algorithm, that is if the interference duration is longer than a threshold predetermined, time slots rescheduling is activated. Furthermore, based on the relative distance and moving speed between WBANs, a prediction model for interference duration is proposed. The simulation results show that compared with the state-of-the-art approaches, the QAC scheduling algorithm has better performance in terms of network capacity, average delay and resource utility.

Power Saving Scheme by Distinguishing Traffic Patterns for Event-Driven IoT Applications

  • Luan, Shenji;Bao, Jianrong;Liu, Chao;Li, Jie;Zhu, Deqing
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.13 no.3
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    • pp.1123-1140
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    • 2019
  • Many Internet of Things (IoT) applications involving bursty traffic have emerged recently with event detection. A power management scheme qualified for uplink bursty traffic (PM-UBT) is proposed by distinguishing between bursty and general uplink traffic patterns in the IEEE 802.11 standard to balance energy consumption and uplink latency, especially for stations with limited power and constrained buffer size. The proposed PM-UBT allows a station to transmit an uplink bursty frame immediately regardless of the state. Only when the sleep timer expires can the station send uplink general traffic and receive all downlink frames from the access point. The optimization problem (OP) for PM-UBT is power consumption minimization under a constrained buffer size at the station. This OP can be solved effectively by the bisection method, which demonstrates a performance similar to that of exhaustive search but with less computational complexity. Simulation results show that when the frame arrival rate in a station is between 5 and 100 frame/second, PM-UBT can save approximately 5 mW to 30 mW of power compared with an existing power management scheme. Therefore, the proposed power management strategy can be used efficiently for delay-intolerant uplink traffic in event-driven IoT applications, such as health status monitoring and environmental surveillance.

Autoconfiguration of Initial State of a Scalable Platform Over Cloud Environment (클라우드 환경을 통한 확장 가능한 플랫폼 초기 상태의 자동 구성)

  • Morales, Mauricio Alejandro Gomez;Gordillo, Berny Alfonso Carrera;Garcia, Guillermo Crocker;Hung, Pham Phuoc;Islam, Md. Motaharul;Huh, Eui-Nam
    • Annual Conference of KIPS
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    • 2013.05a
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    • pp.857-860
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    • 2013
  • Companies that have high need of some computational resources for an specific space of time, nowadays, the pay as they use manner for resources required, that, is a good solution provided these days by some Cloud computing providers. Also solutions that represent a distributed computation for processes with high demand of calculation have appeared lately, the only problem is that when they are created, they need also be configured to share the same working space, this is the scope that comprehends this work, where the aim is to propose a framework that can be used as a solution of automation of the configurations that sometimes can take undetermined time and sometimes the user that configures it has to have a lot of knowledge and also configurations can turn in tricky ones generating a delay in the time where real productivity should be exploited.

A Study of Dynamic Characteristic Analysis for Hysteresis Motor Using Permeability and Load Angle by Inverse Preisach Model (역 프라이자흐 모델에 의한 투자율과 부하각을 이용한 히스테리시스 전동기의 동적 특성 해석 연구)

  • Kim, Hyeong-Seop;Han, Ji-Hoon;Choi, Dong-Jin;Hong, Sun-Ki
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.68 no.2
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    • pp.262-268
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    • 2019
  • Previous dynamic models of hysteresis motor use an extended induction machine equivalent circuit or somewhat different equivalent circuit with conventional one, which makes unsatisfiable results. In this paper, the hysteresis dynamic characteristics of the motor rotor are analyzed using the inverse Preisach model and the hysteresis motor equivalent circuit considering eddy current effect. The hysteresis loop for the rotor ring is analyzed under full-load voltage source static state. The calculated hysteresis loop is then approximated to an ellipse for simplicity of dynamic computation. The permeability and delay angle of the elliptic loop apply to the dynamic analysis model. As a result, it is possible to dynamically analyze the hysteresis motor according to the applied voltage and the rotor material. With this method, the motor speed, generated torque, load angle, rotor current as well as synchronous entry time, hunting effect can be calculated.

The high thermal stability induced by a synergistic effect of ZrC nanoparticles and Re solution in W matrix in hot rolled tungsten alloy

  • Zhang, T.;Du, W.Y.;Zhan, C.Y.;Wang, M.M.;Deng, H.W.;Xie, Z.M.;Li, H.
    • Nuclear Engineering and Technology
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    • v.54 no.8
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    • pp.2801-2808
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    • 2022
  • The synergistic effect of ZrC nanoparticle pining and Re solution in W matrix on the thermal stability of tungsten was studied by investigating the evolution of the microstructure, hardness and tensile properties after annealing in a temperature range of 1000-1700 ℃. The results of metallography, electron backscatter diffraction pattern and Vickers micro-hardness indicate that the rolled W-1wt%Re-0.5 wt% ZrC alloy has a higher recrystallization temperature (1600 ℃-1700 ℃) than that of the rolled pure W (1200 ℃), W-0.5 wt%ZrC (1300 ℃), W-0.5 wt%HfC (1400-1500 ℃) and W-K-3wt%Re alloy fabricated by the same technology. The molecular dynamics simulation results indicated that solution Re atoms in W matrix can slow down the self-diffusion of W atoms and form dragging effect to delay the growth of W grain, moreover, the diffusion coefficient decrease with increasing Re content. In addition, the ZrC nanoparticles can pin the grain boundaries and dislocations effectively, preventing the recrystallization. Therefore, synergistic effect of solid solution Re element and dispersed ZrC nanoparticles significantly increase recrystallization temperature.

A Study on the Real-Time Temperature and Concentration Measurement of Combustion Pipe Flow Field (연소 배관 유동장의 실시간 온도, 농도 측정에 관한 연구)

  • Hong, Jeong Woong;Yoon, Sung Hwan;Jeon, Min Gyu
    • Journal of the Korean Society of Visualization
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    • v.20 no.2
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    • pp.86-92
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    • 2022
  • Pipe failure due to thermal fatigue and environmental regulations are increasing the importance of pipe monitoring systems in industrial plants. Since most pipe monitoring systems are focus on external crack inspected, it is necessary to temperature and concentration measuring monitoring system inside the pipe. These systems have spatial uncertainty due to sample inspection by one-point measurement. In addition, real-time measurement is not possible due to the limitation of time delay due to contact measurement. In this study, CT-TDLAS (Computed tomography-Tunable diode laser absorption spectroscopy) apply to overcome the limitations of existing methods. Lasers exhibiting an absorption response at a wavelength of 1395 nm were arranged in a lattice pattern on measuring cell. It showed that the inside of the pipe changed to an unstable combustion state over time.

Toward Energy-Efficient Task Offloading Schemes in Fog Computing: A Survey

  • Alasmari, Moteb K.;Alwakeel, Sami S.;Alohali, Yousef
    • International Journal of Computer Science & Network Security
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    • v.22 no.3
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    • pp.163-172
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    • 2022
  • The interconnection of an enormous number of devices into the Internet at a massive scale is a consequence of the Internet of Things (IoT). As a result, tasks offloading from these IoT devices to remote cloud data centers become expensive and inefficient as their number and amount of its emitted data increase exponentially. It is also a challenge to optimize IoT device energy consumption while meeting its application time deadline and data delivery constraints. Consequently, Fog Computing was proposed to support efficient IoT tasks processing as it has a feature of lower service delay, being adjacent to IoT nodes. However, cloud task offloading is still performed frequently as Fog computing has less resources compared to remote cloud. Thus, optimized schemes are required to correctly characterize and distribute IoT devices tasks offloading in a hybrid IoT, Fog, and cloud paradigm. In this paper, we present a detailed survey and classification of of recently published research articles that address the energy efficiency of task offloading schemes in IoT-Fog-Cloud paradigm. Moreover, we also developed a taxonomy for the classification of these schemes and provided a comparative study of different schemes: by identifying achieved advantage and disadvantage of each scheme, as well its related drawbacks and limitations. Moreover, we also state open research issues in the development of energy efficient, scalable, optimized task offloading schemes for Fog computing.

Two Stage Deep Learning Based Stacked Ensemble Model for Web Application Security

  • Sevri, Mehmet;Karacan, Hacer
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.16 no.2
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    • pp.632-657
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    • 2022
  • Detecting web attacks is a major challenge, and it is observed that the use of simple models leads to low sensitivity or high false positive problems. In this study, we aim to develop a robust two-stage deep learning based stacked ensemble web application firewall. Normal and abnormal classification is carried out in the first stage of the proposed WAF model. The classification process of the types of abnormal traffics is postponed to the second stage and carried out using an integrated stacked ensemble model. By this way, clients' requests can be served without time delay, and attack types can be detected with high sensitivity. In addition to the high accuracy of the proposed model, by using the statistical similarity and diversity analyses in the study, high generalization for the ensemble model is achieved. Within the study, a comprehensive, up-to-date, and robust multi-class web anomaly dataset named GAZI-HTTP is created in accordance with the real-world situations. The performance of the proposed WAF model is compared to state-of-the-art deep learning models and previous studies using the benchmark dataset. The proposed two-stage model achieved multi-class detection rates of 97.43% and 94.77% for GAZI-HTTP and ECML-PKDD, respectively.