Research on side information generation algorithm for Wyner-Ziv video coding by SONG Bin, HE Hong, LIU Hai-hua, QIN Hao

“…To reduce the block artifacts and ghosting artifacts of side-information frame in Wyner-Ziv video coding,an overlapped block bi-directional motion compensation algorithm based on the original-image correlation was proposed.Firstly,the correlation of the original image in the encoder is calculated and sent to the decoder.Secondly,the correlation data is used to motion estimation in the decoder to get more accurate motion vector.Then the side information is gener-ated by bi-directional motion compensation.Compared with the existing algorithm,the proposed method can increase the average PSNR（peak signal-to-noise ratio） by 1.5~3dB,and also significantly improve the subjective quality of the side information.…”
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Packet-based routing algorithm in DTN based on the intimacy between nodes by En WANG, Yong-jian YANG, Wei-dan ZHAO, Lin-lu LIU

“…Through analyzing the moving law of nodes,the topology is defined based on intimacy between nodes by using the thoughts of reducing redundant copies through clustering in MANET and mining social community in social network for reference.Take topological trim according to the weight of edges and dig out groups of nodes which have higher inti-macy degree.And also improve the spray and wait routing protocol according to the group of source and destination nodes.Then put forward a packet-based routing algorithm in DTN based on the intimacy between nodes.Simulation result shows that this routing algorithm could effectively increase the delivery ratio and reduce delay.…”
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Traffic measurement algorithm based on least recent used and Bloom filter by Zhen ZHANG, Bin-qiang WANG, Feng-yu ZHANG, Ning-ning LIANG

“…Aiming at the naïve algorithm’s deficiency of high false negative probability,a novel scheme called LRU-BF(least recent used ＆amp;Bloom filter) was presented.In order to achieve high accuracy,the algorithm adopted mechanisms of LRU eliminating and Bloom filter representation to separate the process of heavy-hitter fliteration from the heavy-hitter recognition.Based on statistical theory,analytical expressions about upper-bound error probability were deduced.Simulated results indicate that LRU-BF can achieve space saving and lower error probabilit compared with Naïve-LRU algorithm.Meanwhile,it can also support the 10Gbit/s line-speed processing.…”
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Overview and Algorithmic Approach to Management of Male and Female Pattern Hair Loss by Mayank Singh, Aparna Acharya

“…This paper aims to provide a simple algorithmic approach toward diagnosis, staging, and treatment of PHL in males and females. …”
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Power control for successive interference cancellation algorithm based on game theory by Song-hua HU, Jian-jun ZHANG, Yang LU, Bin LIU, Jiang-hong HAN

“…It was proved that implementation of successive interference cancellation could improve network throughput in wireless networks,while in order to maximize network throughput,it was a NP-Hard problem that how to control transmission power when successive interference cancellation was used in wireless networks.A non-cooperative game theory is proposed to solve power control between wireless nodes for successive interference cancellation,in which non-cooperative game theory model is proposed and Nash equilibrium is analyzed,and also the proposed algorithm can ob-tain good network throughput than others,simulations validate the results and demonstrate the superiority of the algorithm.…”
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Generating Self-Invertible Matrices by Hill Cipher Algorithm In Gaussian Integers by Ayat A. Jafaar, Rifaat Z. Khalaf

“… In this paper, the Creating self-reflexive matrices for the Hill Cipher algorithm in Gaussian integers is discussed. It's not always possible to find the inverse of the matrix that was used to encrypt the plaintext. …”
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Exponential H∞ Synchronization of Chaotic Cryptosystems Using an Improved Genetic Algorithm by Feng-Hsiag Hsiao

“…A fuzzy controller is synthesized to not only realize the exponential synchronization, but also achieve optimal H∞ performance by minimizing the disturbance attenuation level. …”
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Application of modified genetic algorithms for solving evolutionary problems of the theory of schedules by D. S. Zakharov

“…The article proposes ways to modify genetic algorithms used to automate the process of scheduling.Method. …”
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Micromedia News Dissemination Impact Assessment Integrated with Personalized Recommendation Algorithm by Shaofang Guo

“…These recommendation algorithms are effective. This promotes the dissemination of news, which also recommends news content that is more relevant to user preferences for most users. …”
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Research of a spam filter based on improved naive Bayes algorithm by 曹翠玲, 王媛媛, 袁野, 赵国冬

“…In spam filtering filed,naive Bayes algorithm is one of the most popular algorithm,a modified using support vector machine(SVM)of the native Bayes algorithm :SVM-NB was proposed.Firstly,SVM constructs an optimal separating hyperplane for training set in the sample space at the junction two types of collection,Secondly,according to its similarities and differences between the neighboring class mark for each sample to reduce the sample space also increase the independence of classes of each samples.Finally,using naive Bayesian classification algorithm for mails.The simulation results show that the algorithm reduces the sample space complexity,get the optimal classification feature subset fast,improve the classification speed and accuracy of spam filtering effectively.…”
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Application of DBN deep learning algorithm in anti stealing electricity system by Dandan LI, Bingyu GE, Wenwen HUANG, Lei XIE, Shengqi QIAN

“…With the development of economy,the electric power demand increases gradually,but because of the relative backwardness in the automation of electricity,the phenomenon of electric stealing is common.But the traditional anti electric stealing means generally centered around how to strengthen the technical transformation of the electric energy metering device,and the management efficiency is low.The purpose of deep learning is to use the method of constructing the multi-layer neural network model.To learn the potential features of image,text,voice and other data,it also has good effect on the classification problem.The successful application of the deep learning algorithm in many complex fields provides a new effective way to solve the problem of anti stealing electricity.The structure and learning algorithm of DBN and the anti-stealing model based on DBN algorithm was mainly introduced.Finally,experiments were carried out and the results were analyzed.…”
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Research on performance optimizations for TCM-KNN network anomaly detection algorithm by LI Yang1, GUO Li1, LU Tian-bo3, TIAN Zhi-hong1

“…Based on TCM-KNN（transductive confidence machine for K-nearest neighbors） algorithm,the filter-based feature selection and cluster-based instance selection methods were used towards optimizing it as a lightweight network anomaly detection scheme,which not only reduced its complex feature space,but also acquired high quality instances for training.A series of experimental results demonstrate the two methods for optimizations are actually effective in greatly reducing the computational costs while ensuring high detection performances for TCM-KNN algorithm.Therefore,the two methods make TCM-KNN be a good scheme for a lightweight network anomaly detection in practice.…”
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Fuzzy kernel feature selection with multi-objective differential evolution algorithm by Emrah Hancer

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Research on sybil attack in defense blockchain based on improved PBFT algorithm by Yingxu LAI, Zunxu BO, Jing LIU

“…Aiming at the problem that sybil attack has great harm to block chain technology,a method to improve the PBFT algorithm in the alliance chain to defend against sybil attacks was proposed.Firstly,using the idea of consensus algorithm based on proof of rights and interests,a reputation model was established,the reputation value of each node accorded to the behavior of each node in the consensus process was calculated,and different discourse rights accorded to the size of the reputation value was given.Then pre-commit phase was added to the PBFT algorithm to reduce the number of communication between nodes.The solution through formal analysis and reasoning and security testing shows that the improved PBFT algorithm can not only effectively defend against sybil attacks in the blockchain,but also make the performance of the blockchain system in terms of TPS and block generation delay.…”
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Distributed locating algorithm for wireless sensor networks-MDS-MAP（D） by MA Zhen, LIU Yun, SHEN Bo

“…A new distributed locating algorithm MDS-MAP（D） was proposed,which attempted to improve the perform-ance of node localization in wireless sensor networks.The process of the computation about node relative coordinates and the aggregation from local network to global network are introduced explicitly.Further,the analyses to computational complexity and the simulations of the algorithm are also present.MDS-MAP（D）,which is based on node clustering mechanism and uses connectivity of nodes to estimate the coordinates of nodes,reduces the complexity and energy con-sumption of node localization on the absence of distance measurement with high precision.The simulation and analysis results indicate that the complexity of node localization algorithm falls to O（Nm 2）,m < N from O（N 3） and the accu-racy is improved 1%～3%.…”
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An evaluation of flow-routing algorithms for calculating contributing area on regular grids by A. B. Prescott, J. D. Pelletier, S. Chataut, S. Ananthanarayan

“…We also introduce a new flow-routing algorithm entitled IDS (in reference to the iterative depth- and slope-dependent nature of the algorithm) that is more suitable than MFD for applications in which the bed and water surface slopes differ substantially. …”
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Semianalytical algorithms to study longitudinal beam instabilities in double rf systems by A. Gamelin, V. Gubaidulin, M. B. Alves, T. Olsson

“…In this paper, we provide semianalytical algorithms designed to predict and analyze these instabilities with improved accuracy and robustness. …”
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An Improved Algorithm of Wireless Sensor Networks Routing Protocol Based on LEACH by Jinshen Weng, Huabiao Qin, Zongguo Zhang

“…One of the most popular research focuses of wireless sensor network is postponing the life cycle of sensor network as well as reducing energy consumption.An efficient clustering routing algorithm based on LEACH（low energy adaptive clustering hierarch）was presented，which is the representative of hierarchy based protocol in wireless sensor network.The residual energy，average energy and maximum energy are considered in this algorithm while electing the cluster header.It can also limit the number of members of each cluster.At the same time，it can produce the first cluster header among the cluster heads which will use the multi-hop mode to balance the load of network.The simulation results show that this improved algorithm can reduce the energy consumption，extend the network life cycle and ensure the load balance of the system.…”
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Data aggregation scheduling algorithm based on twice maximum independent set by Jian XU, Geng YANG, Zheng-yu CHEN, Hai-yong WANG, Zhen YANG

“…The main task in designing a data aggregation schedule was to get a good trade-off between QoS and weighted fairness guarantee.In order to address this problem,a novel data aggregation scheduling algorithm,MISS,was proposed,which could produce a collision-free TDMA schedule for data aggregation based on twice Maximum Independent Set (MIS).In the first phase,a tree structure based on MIS was constructed,and then it was adjusted according to the energy consumption forecast of each node,forming the balanced data aggregation tree.In the second phase,the approximate maximum weighted Independent set (WMIS) was utilized of all selected links to allocate time slots for each communication link.The results of simulation demonstrate that MISS not only improves the aggregation delay and lifetime of the network,but also gives weighted fairness guarantee.…”
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CC-MRSJ:Cache Conscious Star Join Algorithm on Hadoop Platform by Guoliang Zhou, Yongli Zhu, Guilan Wang

“…A cache-conscious MapReduce star join algorithm was presented,each column of fact table was separately stored,and dimension table was divided into several column families according to dimension hierarchy.Fact table foreign key column and corresponding dimension table was co-location storage,thus reducing data movement in the join process.CC-MRSJ consists of two phases:firstly each foreign key column and the corresponding dimension table were joined; then the intermediate results were joined and random accessed measure columns,and so got the final result.CC-MRSJ read only the data needed,and cache utilization is high,so it has good cache conscious feature; it also takes advantage of late materialization,avoiding unnecessary data access and movement.CC-MRSJ has higher performance comparing to hive system based on SSB datasets.…”
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