QoS preference-aware replica selection strategy in cloud computing by XIONG Run-qun, LUO Jun-zhou, SONG Ai-bo, JIN Jia-hui

“…A QoS preference-aware replica selection strategy for a kind of users with individual QoS sensitivity（IQS） constraints in cloud computing datacenters was put forward in advance.According to the QoS requirements of data ser-vices from IQS users,a novel three-dimensional QoS model of replica selection was introduced,and a QoS prefer-ence-aware algorithm based on analytic hierarchy process（AHP） named QoPA was proposed to deal with the IQS con-straints.In order to evaluate the replica sites in datacenters and provide the best of them to the IQS users,an algorithm for replica selection based on fuzzy comprehensive evaluation termed FCE_RS was designed and implemented.Results of experiments show that the FCE_RS can serve the various IQS users in cloud computing very well by providing reason-able replica strategies effectively.…”
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CT-TDMA:efficient TDMA protocol for underwater sensor networks by Lu HONG, Feng HONG, Zheng-bao LI, Zhong-wen GUO

“…Aimed at underwater acoustic sensor networks(UWSN),a novel sender based conflict model with the schemes of allocating continuous time was presented,including local conflict graph(LCG)and a distribute algorithm to generate LCG.Moreover,CT-TDMA,an efficient TDMA protocol based on the conflict model was also proposed,which used heuristic priority rules to allocate transmitting moments for all nodes.CT-TDMA exploits the diversity of propagation delay of different links in UWSN to decrease the idle time between packets at the same receiving node,which helps in improving the throughput.And a heuristic schedule algorithm is applied to shorten the process of allocating continuous time for each node.Simulation results show that,compared with traditional TDMA protocols such as ST-MAC,network throughput of CT-TDMA has increased 20% and end to end delay has decreased 18%;compared to the theoretically optimal scheme with global knowledge,CT-TDMA has achieved 80% network throughput and the end to end delay is only 12% longer.…”
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Kinematic Performance Analysis and Dimensional Optimization for 2PUS-PU Parallel Mechanism by Linxian Che, Jian Yi, Bing He, Xuedong Lin

“…A constrained optimization model is constructed to formulate the design problem of dimensional parameters on the maximizing radius of RTOW，and particle swarm optimization and differential evolution algorithm are adopted to solve this problem. A case of dimensional optimization design is given to indicate that the proposed model and algorithm are effective and feasible.…”
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Research on low-energy-consumption deployment of emergency UAV network for integrated communication-navigating-sensing by Li WANG, Qing WEI, Lianming XU, Yuan SHEN, Ping ZHANG, Aiguo FEI

“…In public emergencies such as accident relief, rescue workers are faced with challenges, such as poor communication, unstable navigating, and inaccurate disaster sensing.It is necessary to deploy an emergency unmanned aerial vehicle (UAV) network to guarantee the services of communication-navigating-sensing.Aiming at alleviating the problem of limited energy of UAV, a low-energy-consumption deployment of an emergency UAV network was first proposed for integrated communication-navigating-sensing (ICNS).The proposed scheme was able to realize network topology reconstruction and role cognition on demand.Then, a particle swarm algorithm based hierarchical matching decision-making algorithm was presented to jointly optimize three sub-problems, including the associations between UAVs and users, the resource allocation for multi-role UAV communications, and the UAV position.Simulation results show that the proposed ICNS scheme can achieve flexible adaptation of the multi-objective requirements and limited network resources, and dramatically reduce the demand for the number of UAVs and the deployment energy consumption.…”
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Earthquake Response Analysis of Tall Reinforced Concrete Chimneys considering Eccentricity by Yingchun Jiang, Tielin Liu, Yikui Bai

“…A numerical algorithm is presented to analyze earthquake response of tall reinforced concrete (RC) chimneys based on stick multidegree-of-freedom models. …”
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GGSYOLOv5: Flame recognition method in complex scenes based on deep learning. by Fucai Sun, Liping Du, Yantao Dai

“…Moreover, the algorithm is deployed in the Jetson Nano embedded development board to build the flame detection system.…”
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An Improved Gesture Segmentation Method for Gesture Recognition Based on CNN and YCbCr by Yan Luo, Gaoxiang Cui, Deguang Li

“…In order to enhance the features of gesture recognition, firstly, the hand skin color is filtered through YCbCr color space to separate the gesture region to be recognized, and the Gaussian filter is used to process the noise of gesture edge; secondly, the morphological gray open operation is used to process the gesture data, the watershed algorithm based on marker is used to segment the gesture contour, and the eight-connected filling algorithm is used to enhance the gesture features; finally, the convolution neural network is used to recognize the gesture data set with fast convergence speed. …”
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Robust Fusion Filtering for Multisensor Time-Varying Uncertain Systems: The Finite Horizon Case by Xiaoliang Feng, Funa Zhou, Chenglin Wen

“…And a sequential robust finite horizon H∞ fusion filtering algorithm is given by solving this quadratic inequality group. …”
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Research on deep reinforcement learning based intelligent shop scheduling method by Zihui LUO, Chengling JIANG, Liang LIU, Xiaolong ZHENG, Huadong MA

“…The unprecedented prosperity of the industrial internet of things (IIoT) has opened up a new path for the traditional industrial manufacturing model.Intelligent shop scheduling is one of the key technologies to achieve the overall control and flexible production of the whole production process.It requires an effective plan with a minimum makespan to allocate multiple processes and multiple machines for production scheduling.Firstly, the shop scheduling problem was defined as a Markov decision process (MDP), and a shop scheduling model based on the pointer network was established.Secondly, the job scheduling process was regarded as a mapping from one sequence to another, and a new shop scheduling algorithm based on deep reinforcement learning (DRL) was proposed.By analyzing the convergence of the model under different parameter settings, the optimal parameters were determined.Experimental results on different scales of public data sets and actual production data sets show that the proposed DRL algorithm can obtain better performances.…”
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Power control for full-duplex D2D communications underlaying cellular networks by Jihong ZHAO, Qiang HE, Hua QU, Zhirong LUAN

“…A low-complexity power control algorithm was proposed to maximize the full-duplex D2D links throughput while guaranteeing the quality of service(QoS)requirements for full-duplex D2D users and CU.Numerical results show that the proposed algorithm can improve the full-duplex D2D links throughput.Moreover,the performance of full-duplex D2D communications depend on the QoS requirements of CU, the distance of D2D pair and self-interference cancelation amounts.…”
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Blending physics with data using an efficient Gaussian process regression with soft inequality and monotonicity constraints by Didem Kochan, Xiu Yang

“…Further, we present an adaptive learning algorithm that guides the selection of constraint locations. …”
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Using object-oriented databases in face recognition by X. C. Dong, V. I. Ionin

“…The aim of the work is to develop an algorithm functioning by a face recognition system using object-oriented databases. …”
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Handover Strategies in Beacon-Enabled Mobile Sensor Network by Pranesh Sthapit, Jae-Young Pyun

“…First, the proactive algorithm is developed to anticipate the future link breakage. …”
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Linearizability Problem of Resonant Degenerate Singular Point for Polynomial Differential Systems by Yusen Wu, Cui Zhang, Luju Liu

“…Moreover, we establish a new recursive algorithm to compute the so-called generalized period constants for the origin of the transformed system. …”
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Smartphone-based indoor localization by fusion of acoustic ranging and PDR by Mao PANG, Mei WANG, Xiyu SONG, Liyan LUO, Kun RUAN

“…A novel indoor localization algorithm that integrates acoustic ranging and pedestrian dead reckoning (PDR) algorithm was presented,to reduce the accumulated error of the inertial sensors in the process of indoor positioning using PDR.Firstly,the PDR was used for position estimation.Then,the distance between the mobile phone and the wall was measured by using sound waves,and the cumulative error in the PDR was corrected by combining the above position and the distance with the known indoor map information.Hence,long-term stable indoor positioning can be achieved without laying out any nodes.In order to solve the problem that the echo signals reflected by the wall under long-distance conditions were difficult to detect,signal enhancement on the echoes reflected from the target wall was performed by using beamforming,taking advantage of the characteristics of the built-in dual microphones in the smartphone,then the effective measurement distance was increased and the application range of the proposed method was expanded.Experimental results show that the average positioning error of the proposed fusion localization method is 0.427 m.Compared with the results of using PDR alone,the average positioning error is reduced by 2.748 m.…”
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Energy-efficient optimization strategy based on elastic data migration in big data streaming platform by Yonglin PU, Xiaolong XU, Jiong YU, Ziyang LI, Binglei GUO

“…Focused on the problem that the stream computing platform was suffering from the high energy consumption and low efficiency due to the lack of consideration for energy efficiency in designing process, an energy-efficient optimization strategy based on elastic data migration in big data streaming platform (EEDM-BDSP) was proposed.Firstly, models of the load prediction and the resource judgment were set up, and the load prediction algorithm was designed, which predicted the load tendency and determine node resource occupancy, so as to find nodes of resource overload and redundancy.Secondly, models of the resource constraint and the optimal data migration were set up, and the optimal data migration algorithm was proposed, which data migration for the purpose of improving node resource utilization.Finally, model of the energy consumption was set up to calculate the energy consumption saved by the cluster after data migration.The experimental results show that the EEDM-BDSP changes node resources in the cluster can responded on time, the resource utilization and the energy-efficient are improved.…”
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Estimation and compensation for transmitter and receiver I/Q imbalance of full-duplex terminals by Hao-wei WU, Jun-bo ZHAO, Hao-ran XU, Jing-lan OU

“…In order to reduce I/Q imbalance of the full-duplex terminal with direct-conversion transceiver,an algorithm based on self-interference signal was proposed for the estimation and compensation of I/Q imbalance in both transmitter (Tx) and receiver (Rx).Without the perfect transmitter or receiver for I/Q imbalance estimation,the self-interference signal from Tx chain to Rx chain was used for parameter estimation and separation,and the Tx and Rx I/Q imbalance parameters were obtained,respectively.Then the pre-compensation before transmission and the correction after receiving was processed,so that there was nearly no I/Q imbalance in this full-duplex terminal from the view of the other terminals,and the complexity of the signal processing will be reduced as a result of the absent of the I/Q imbalance estimation.The simulation results show that the proposed algorithm can effectively estimate and compensate the I/Q imbalance of the full-duplex Tx ＆ Rx terminal,and improve the overall signal quality and the system performance.…”
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Optimal Position and Velocity Estimation for Multi-USV Positioning Systems with Range Measurements by Wei Chen, Ruisheng Sun, Weisheng Yan

“…Simulation results illustrate the effectiveness of the problem formulation and demonstrate the performance of the proposed algorithm.…”
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Time-frequency image and high-order spectrum characteristics based radar signal recognition by Shitong LI, Daying QUAN, Zeyu TANG, Yun CHEN, Xiaofeng WANG, Xiaoping JIN

“…Aiming at improving the accuracy of radar signal recognition under a low signal-to-noise ratio, a radar signal recognition algorithm based both on time-frequency image and high-order spectrum feature was proposed.Firstly, the time-frequency image was obtained by Choi-Williams distribution (CWD) transform, based on which the time-frequency image was preprocessed and the texture features were extracted by gray level co-occurrence matrix (GLCM) in sequence.Meanwhile, the symmetrical holder coefficient was used to extract the high-order spectral features of the signal.Then, the texture features and high-order spectrum features were form a new set of joint feature vectors.Finally, with the proposed feature vector the classification and recognition of radar signals were implemented by a support vector machine.The algorithm was verified on the data set with eight typical radar signals.Experimental results show that the recognition accuracy of different radar signals can achieve higher than 90% when the signal-to-noise ratio is -8 dB.…”
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Active Safety Planning Method for Transportation Network Design by Hongzhi Lin

“…To demonstrate the effectiveness of the proposed method and algorithm, an experimental study is carried out. The results show that these methods can be a valuable tool to design a safer transportation network although efficiency, in terms of system total travel time, is slightly sacrificed.…”
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