Network selection algorithm based on synergetic for heterogeneous wireless network by Ran LUO, Su ZHAO, Qi ZHU

“…A network selection algorithm based on synergetic for heterogeneous wireless network was proposed. …”
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Study on network reconfiguration algorithms in software-defined sensor networks by Lian-feng SHEN, Ya-ping ZHU, Zhao-ming DING, Feng YAN, Shu-guang DENG

“…Simulation results show that the proposed routing algorithm can efficiently allocate resources to satisfy the requirements of multi-service's QoS and to prolong the lifetime of network.…”
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Network scheduling algorithm based on Stackelberg Game with incentive strategy by WEI Jiao-long, HU Jin, DAI Wen-juan, ZOU Jia-hong

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Efficient i-DFA construction algorithm based on state grouping by Deng-ke QIAO, Qing WANG, Ting-wen LIU, Yong SUN, Li GUO

“…Regular expression matching plays an important role in many network and security applications.DFA is the preferred representation to perform regular expression matching in high-speed network,because of its high and stable matching efficiency.However,DFA may experience state explosion,and thus consume huge memory space.As a classical solution for the problem of state explosion,i-DFA can reduce the memory consumption significantly and guarantee the worst matching performance at the same time.However,prior methods are inefficient in both time and space during the construction of i-DFA.An efficient i-DFA construction algorithm based on the idea of state grouping was proposed.Furthermore,a formal description for the problem of state grouping was given,and it was proved that it was NP-hard to get the best state grouping result.Thus,based on local search strategy,a near-optimal algorithm was introduced to divide states into different groups.Compared with the classical construction method,the significant improvement in both time and space is achieved; the i-DFA of the proposed method may have 2/3 states as that of prior method and the proposed i-DFA is constructed with only 1/16 time of it.…”
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Self-learning differential evolution algorithm for dynamic polycentric problems by Xing-bao LIU, Jian-ping YIN, Chun-hua HU, Rong-yuan CHEN

“…A novel self-learning differential evolution algorithm is proposed to solve dynamical multi-center optimization problems.The approach of re-evaluating some specific individuals is used to monitor environmental changes.The proposed self-learning operator guides the evolutionary group to a new environment,meanwhile maintains the stable topology structure of group to maintain the current evolutionary trend.A neighborhood search mechanism and a random immigrant mechanism are adapted to make a tradeoff between algorithmic convergence and population diversity.The experiment studies on a periodic dynamic function set suits are done,and the comparisons with peer algorithms show that the self-learning differential algorithm outperforms other algorithms in term of convergence and adaptability under dynamical environment.…”
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Risk Assessment of Government Debt Based on Machine Learning Algorithm by Dan Chen

“…This paper builds an effective government debt risk assessment system based on machine learning algorithm. According to forming the performance of local government debt risk and its internal and external influencing factors, this study applies the analytic hierarchy process, entropy method, and BP neural network method to construct the local government risk assessment index system, which includes the primary and secondary indexes including the explicit debt risk, the contingent implicit debt risk, and the financial and economic operation risk. …”
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Eliminating Network Depth: Genetic Algorithm for Parameter Optimization in CNNs by M. Askari, S. Soleimani, M. H. Shakoor, M. Momeni

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A　Genetic　Algorithm　for　Routing　in　Packet-Switched　Communication　Networks by He Cuihong Ou Yishan Li Xianji (Guangdong Institute of Technology, Guangzhou 510090)

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Diagnostic Algorithm for Joint Pain in Patients with Inflammatory Bowel Disorders by A. I. Dolgushina, G. M. Khusainova, O. B. Nesmeyanova, N. V. Kirsh, O. V. Solovieva, E. A. Bogdanova

“…Aim. An algorithm development for joint pain differential diagnosis in patients with inflammatory bowel disorders (IBD) and its validation in clinical practice.Materials and methods. …”
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Research on Fire Detection of Cotton Picker Based on Improved Algorithm by Zhai Shi, Fangwei Wu, Changjie Han, Dongdong Song

Subjects: “…fusion algorithm…”
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LoRa Resource Allocation Algorithm for Higher Data Rates by Hossein Keshmiri, Gazi M. E. Rahman, Khan A. Wahid

“…Furthermore, BER analysis confirms that the LRA algorithm delivers high-quality images at SNR levels above −5 dB in line-of-sight communication scenarios.…”
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Algorithms and Results of Eye Tissues Differentiation Based on RF Ultrasound by R. Jurkonis, A. Janušauskas, V. Marozas, D. Jegelevičius, S. Daukantas, M. Patašius, A. Paunksnis, A. Lukoševičius

“…Algorithms and software were developed for analysis of B-scan ultrasonic signals acquired from commercial diagnostic ultrasound system. …”
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Implementation of CT Image Segmentation Based on an Image Segmentation Algorithm by Lingli Shen

“…When the hardware resources can fully meet the needs of the fast and high-precision image segmentation program system, the main means of how to improve the image segmentation effect is to improve the related algorithms. Therefore, this study has proposed a combination of genetic algorithm (GA) and Great Law (OTSU) algorithm to form an image segmentation algorithm-immune genetic algorithm (IGA) algorithm. …”
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Distance aware route algorithm for cloud computing based on CAN by HAN Zhi-jie1, HUANG Liu-sheng1, WANG Ru-chuan2, SUN Li-juan2, SHENG Ming1

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Improved algorithm based on result zone for GNSS attitude measurement by jie LIShi, an LIZhi, lei PANGChun, lin YUYong, Yong WANG

“…The correlation of search zone was not included in the result zone algorithm for GNSS attitude measurement, which led to extended time for initialization and oversize range for searching, then an improved algorithm in which search zone was bounded by ambiguity was proposed in the following procedures. …”
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Trajectory Optimization of Manipulator based on Adaptive Transformation Bat Algorithm by Yongyan Sun, Wenyong Guo, Yunling Sun, Jinghang Wang

Subjects: “…Adaptive transformation bat algorithm…”
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An efficient modified HS conjugate gradient algorithm in machine learning by Gonglin Yuan, Minjie Huang

“…In this paper, the authors proposed an improved Hestenes-Stiefe conjugate gradient algorithm having characteristics like: ⅰ) The algorithm depicts the decreasing features and trust region properties free of conditionalities. ⅱ) The algorithm satisfies global convergence. ⅲ) The algorithm can be applied to tackle the image restoration problem, monotone nonlinear equations, and machine learning problems. …”
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An Improved Harmony Search Algorithm for Power Distribution Network Planning by Wei Sun, Xingyan Chang

“…Harmony search (HS) algorithm is a metaheuristic algorithm inspired by the improvisation process of music players. …”
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Evolutionary Algorithms Applied to Antennas and Propagation: Emerging Trends and Applications by Sotirios K. Goudos, Dimitris E. Anagnostou, Christos Kalialakis, Pandian Vasant, Symeon Nikolaou

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Indoor EKF localization algorithm based on RFID carrier phase by Liangbo XIE, Xixi LIU, Yong WANG, Mu ZHOU, Zengshan TIAN

“…In order to solve the problem of low localization accuracy caused by indoor environment interference in the existing UHF RFID localization methods, an indoor extended Kalman filter (EKF) localization algorithm based on frequency hopping assisted RFID carrier phase was proposed.The virtual large bandwidth obtained by frequency hopping was used for rough distance estimation to realize multipath suppression, and the reliable dual frequency point selection and parameter optimization were completed through the phase after multipath suppression.Finally, EKF algorithm was used to realize high-precision and fast localization.Experimental results show that the average localization error of the proposed algorithm is 9.35 cm, and the real-time performance of the localization solution is nearly 10 times higher than the traditional integer solution method based on Chinese remainder theorem (CRT).…”
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