Multiobjective Prioritized Workflow Scheduling in Cloud Computing Using Cuckoo Search Algorithm by Babuli Sahu, Sangram Keshari Swain, Sudheer Mangalampalli, Satyasis Mishra

“…Therefore, in this research, a task-prioritized multiobjective workflow scheduling algorithm was developed by using cuckoo search algorithm to precisely map incoming workflows onto corresponding virtual resources. …”
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Decentralized Scheduling Algorithm for DAG Based Tasks on P2P Grid by Piyush Chauhan, Nitin

“…Subtasks of this DAG are scheduled by the scheduler on various grid resources. Scheduling algorithms for grid strive to optimize the schedule. …”
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Algorithm for foggy image enhancement based on the total variational Retinex and gradient domain by Bing-quan CHEN, Hong-li LIU

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A Hybrid Heuristic Algorithm for Ship Block Construction Space Scheduling Problem by Shicheng Hu, Tengjiao Liu, Song Wang, Yonggui Kao, Xuedong Sun

“…Finally, the simulation experiments are conducted to verify the effectiveness of the algorithm.…”
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Accurate pulse time distribution determination using MLEM algorithm in integral experiments by S.Y. Zhang, Y.B. Nie, Y.Y. Ding, Q. Zhao, K.Z. Xu, X.Y. Pan, H.T. Chen, Q. Sun, Z. Wei

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Antenna Array Design in MIMO Radar Using NSK Polynomial Factorization Algorithm by Shuainan Gu, Ke Li, Xiukun Ren, Na-e Zheng

“…The algorithm contains three steps. First, linear factors are extracted by extended Vieta theorem. …”
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Video tampering detection algorithm based on spatial constraint and gradient structure information by Han PU, Tianqiang HUANG, Bin WENG, Hui XIAO, Wei HUANG

“…The traditional video passive forensics method using only the principle of similarity between adjacent frames will cause a lot of false detection for the video with severe motion.Aiming at this problem,a video tamper detection method combining spatial constraints and gradient structure information was proposed.Firstly,the low motion region and the high texture region were extracted by using spatial constraint criteria.The two regions were merged to obtain the robust quantitative correlation rich regions for extracting video optimal similarity features.Then improving the extraction and description methods of the original features,and using the similarity of the gradient structure in accordance with the characteristics of the human visual system to calculate the spatial constraint correlation value.Finally,the tampering points were located by the Chebyshev inequality.Experiments show that the proposed algorithm has lower false detection rate and higher accuracy.…”
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A modified algorithm of 'forward-backward' solving the identification of automata Markov models by A.R. Nurutdinova

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Collision resolution algorithm based on time-series forecasting for cognitive wireless networks by Shuang-mao YANG, Wei GUO, Wei TANG

“…A novel prediction-based collision resolution algorithm for self-similar traffic in cognitive wireless networks was formulated.The packet collision was resolved by combining the tree splitting scheme and the prediction theory.Through theoretical analysis and simulation experiments,the proposed prediction-based collision resolution algorithm performs better than the binary-tree splitting algorithm in terms of network throughput and collision resolution period.…”
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A Game-Based Secure Localization Algorithm for Mobile Wireless Sensor Networks by Tianyue Bao, Jiangwen Wan, Kefu Yi, Qiang Zhang

“…The performance of our algorithm is evaluated by extensive simulation experiments. …”
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Nonlinear error modified equalization algorithm in high-order modulation of satellite communication by Cheng-kai TANG, Ling-ling ZHANG, Bao-wang LIAN

“…Aiming at the larger computation and the slower speed of nonlinear error compensation of traditional equalization algorithms,the fast nonlinear error equalization algorithm with amplitude and phase separation was constructed.It combined the feedback equalization to reduce the computational complexity respectively.In order to eliminate nonlinear interference and memory interference,the algorithm utilized the Volterra model to modify the error and it was adapted to update the feedback equalization parameters.The theoretical analysis and simulation compared proposed algorithm and existing conventional equalization algorithms from the bit error rate,convergence speed and computational complexity.The results show that the computational complexity is only equivalent to 14.1%～24.9% of other algorithms and proposed method can cancel the nonlinear interference quickly.…”
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A Multiobjective Particle Swarm Optimization Algorithm Based on Grid Technique and Multistrategy by Kangge Zou, Yanmin Liu, Shihua Wang, Nana Li, Yaowei Wu

“…When faced with complex optimization problems with multiple objectives and multiple variables, many multiobjective particle swarm algorithms are prone to premature convergence. To enhance the convergence and diversity of the multiobjective particle swarm algorithm, a multiobjective particle swarm optimization algorithm based on the grid technique and multistrategy (GTMSMOPSO) is proposed. …”
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Outlier detection algorithm based on fast density peak clustering outlier factor by Zhongping ZHANG, Sen LI, Weixiong LIU, Shuxia LIU

“…For the problem that peak density clustering algorithm requires human set parameters and high time complexity, an outlier detection algorithm based on fast density peak clustering outlier factor was proposed.Firstly, k nearest neighbors algorithm was used to replace the density peak of density estimate, which adopted the KD-Tree index data structure calculation of k close neighbors of data objects, and then the way of the product of density and distance was adopted to automatic selection of clustering centers.In addition, the centripetal relative distance and fast density peak clustering outliers were defined to describe the degree of outliers of data objects.Experiments on artificial data sets and real data sets were carried out to verify the algorithm, and compared with some classical and novel algorithms.The validity and time efficiency of the proposed algorithm are verified.…”
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Global randomized consensus algorithm resist collusion attack based on game theory by Bao ZHANG, Youliang TIAN, Sheng GAO

Subjects: “…consensus algorithm…”
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A Novel Robust Tracking Algorithm in Cluttered Environments for Distributed Sensor Network by Yunting Liu, Yuanwei Jing, Siying Zhang, Hui Guo

“…In this paper, we propose a novel robust tracking algorithm to mitigate the measurement noise and NLOS error. …”
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An Optimization Algorithm for Multipath Parallel Allocation for Service Resource in the Simulation Task Workflow by Zhiteng Wang, Hongjun Zhang, Rui Zhang, Yong Li, Xuliang Zhang

“…Therefore, this paper proposes an optimization algorithm for multipath service resource parallel allocation, in which multipath service resource parallel allocation model is built and multiple chains coding scheme quantum optimization algorithm is used for optimization and solution. …”
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Fuzzy Adaptive PID Algorithm in Temperature Control System of Lead Patenting Furnace by Junmei Huang, Feiyu Huang, Jintao Liang, Jianxin Chen, Pengtao Li

“…In order to enhance the accuracy of temperature control of the patenting furnace, a new temperature control system (TCS) based on the fuzzy adaptive (FA)–proportion integral differential (PID) control algorithm is proposed. The system takes temperature error value and error rate as input and automatically adjusts the PID control parameter value according to the signal of the furnace temperatures to realize adaptive adjustment. …”
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Low-complexity and frequency-offset-robust synchronization algorithm based on CAZAC sequence by Fengkui GONG, Ni WEN, Guo LI, Yang GAO

“…A low-complexity and frequency-offset-robust synchronization algorithm based on CAZAC sequence was proposed, which was suitable for burst OFDM systems.A new preamble sequence was constructed based on the CAZAC sequence, and its simplified timing metric function was derived by using the combination characteristics of the sequence, and then the delay correlation and symmetric correlation characteristics were used to achieve accurate and stable timing synchronization.Furthermore, based on the new constructed preamble sequence, a weighted frequency synchronization scheme combining cyclic prefix was proposed to obtain more accurate frequency offset estimation.Simulation results show that the proposed algorithm has good synchronization performance in both Gaussian channels and multipath fading channels regardless of frequency offset, and its computational complexity is lower than the most existing representative algorithms.…”
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Research on single snapshot DOA estimation algorithm based on incompletely overlapped signal by Mingchao QU, Weijian SI, Yazhi YUAN

“…To address the problem that traditional direction-of-arrival （DOA） estimation algorithms did not fully utilize the signal characteristics of active decoys and radar， which led to poor angular resolution of anti-radiation missile， a single snapshot direction finding algorithm for polarization sensitive array based on incompletely overlapped signals was proposed.Specifically， the signal data received by the array was firstly processed by polarization smoothing.After that， exploiting the signal characteristics of incompletely overlapped signals of radar and active decoys， the constructed conjugate replication augmented matrix was differentiated to obtain each signal’s conjugate replication augmented matrix.Finally， DOA estimation results of each signal were acquired by solving a convex optimization problem.Numerical results demonstrate that the proposed method shows superior estimation accuracy and lower computational complexity compared with the conventional algorithms.…”
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Image Edge Detection Algorithm Based on Fuzzy Radial Basis Neural Network by Lin Feng, Jian Wang, Chao Ding

“…To address these issues, this paper presents a new detection algorithm combined with information fusion based on the existing image edge detection techniques, and the algorithm is studied from two aspects of fuzzy radial basis fusion discrimination, in terms of preprocessing algorithm, comparing the denoising effect of mean and median filters with different template sizes on paper images with added noise, and selecting the improved median filter denoising, comparing different operator edge detection. …”
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