Energy efficiency optimization algorithm of heterogeneous networks based on hybrid energy supply and energy cooperation by Yang CAO, Ye ZHONG, Chunling PENG, Xiaofeng PENG

“…To reduce the base station energy consumption and co-channel interference in heterogeneous cellular networks, a joint optimization algorithm combined with energy harvesting and energy cooperation was proposed with the objective of energy efficiency optimization.First, a mixed-integer nonlinear programming problem for joint resource allocation was constructed considering the constraints of user service quality, the constraints of cellular base station power, and the constraints of renewable energy harvesting.Second, considering that the problem was an NP-hard problem which was difficult to solve directly, the complex original problem was decomposed into three subproblems, such as user association, power allocation, and energy cooperation, with the fixed-variable method, which were solved by using the Lagrangian pairwise method, particle swarm optimization algorithm, and matching theory, respectively.Finally, the final solution of the original problem was obtained by combining the above three algorithms through convergent iterative algorithms.The simulation results show that the proposed algorithm has improved convergence and system energy efficiency compared with the comparison algorithm.…”
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Opposition-based particle swarm optimization with adaptive elite mutation and nonlinear inertia weight by Wen-yong DONG, Lan-lan KANG, Yu-hang LIU, Kang-shun LI

“…Two strategies were introduced to balance the contradiction be-tween exploration and exploitation during its iterations process. The first one was nonlinear adaptive inertia weight (NIW), which aim to accelerate the process of convergence of the algorithm by adjusting the active degree of each parti-cle using relative information such as particle fitness proportion. …”
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Anti-Cycle-Slip LDPC Decoding Algorithm for BPSK System by Dazhong Wu, Haidong Wu

“…Modified algorithm modifies initial likelihood ratio information according to information between check nodes and variable nodes by an iterative decoding computation. Modified algorithm can eliminate the influence of cycle-slip and ensure normal function of LDPC decoder. …”
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Segmentation and Classification of Vowel Phonemes of Assamese Speech Using a Hybrid Neural Framework by Mousmita Sarma, Kandarpa Kumar Sarma

“…Self-Organizing Map (SOM) trained with a various number of iterations is used to segment the word into its constituent phonemes. …”
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Domain of interests clustering algorithm based on users’ preferred topics by GONG Wei-hua1, YANG Liang-huai1, JIN Rong2, DING Wei-long1

“…In order to solve the problem of users’ preferences changing frequently,an iterative computing method was presented to gain the weights of users’ preferences as time goes.A bipartite graph was constructed to show the relations of users’ interests and topic classes.On this base,a novel topic-based clustering（TBC） algorithm was proposed to group the nearest neighbors according to users’ interests,which had changed the usual hard partition method meaning "one or the other" for the clustering items.And the partitioned domains of users’ interests based on multiple topics was also es-tablished by the algorithm,which not only fully profiled users’ interests and the relations of topics indirectly reflected in different domains,but also could adaptively track the changes of users’ interests.Experimental results show that TBC method has better declustering outcome of users’ interests than both the traditional K-Means algorithm and FCM method belonged to the soft clustering,and the TBC algorithm also has higher recommendation quality and better efficiency in personalized recommender services.…”
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Proposing the Integration of Scrum and ESP for EFL Tourism Students: Theoretical Framework and Methodological Approach by Rocío Gragera, Isabel Soto Déniz

“…Based on Scrum's principles of iterative cycles, teamwork, and feedback, EduScrum enhances student engagement and language proficiency by organizing tasks into structured sprints focused on tourism-specific scenarios. …”
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Experimental assessment of аdversarial attacks to the deep neural networks in medical image recognition by D. M. Voynov, V. A. Kovalev

“…An increase of the amplitude and the number of iterations of adversarial perturbations in generating malicious adversarial images leads to a growth of the fraction of successful attacks for the majority of image types examined in this study. …”
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Terminal battery status information based fairness-aware SWIPT strategy by Zhirui HU

“…To solve the battery depletion problem,the terminals’ battery status information (BSI) was proposed to be taken into consideration in simultaneous wireless information and power transfer (SWIPT) strategies,and a SWIPT strategy to guarantee the rate fairness was provided.BSI determined the terminals’ sufferable received rate and harvested energy.The proposed scheme was formulated as an optimization problem to max-min user rate,with rate/energy requirement constraints and the sufferable rate/energy constraints.To solve optimization problem,the receivers were firstly classified with their battery level,then the optimal solutions were obtained by the proposed iteration optimization-based algorithm.With the proposed scheme,the transmit power and the power splitting factor would be controlled and the data rate at receivers,especially the receivers that with lower battery level would be restricted,avoiding the required battery consumption to exceed battery level.Simulation results reveal that the proposed scheme can prolong battery lifetime and avoid the battery depletion problem,and its fairness performance is strengthened with the difference decreasing among the receivers’ battery level.…”
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Validation of the Story World Absorption Scale through annotation of online book reviews by Moniek M. Kuijpers, Massimo Lusetti, Piroska Lendvai, Simone Rebora

“…This paper discusses the annotation tag set, which was developed through an iterative process, presented alongside a series of inter-annotator agreement studies that show the validity of our annotation process. …”
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ENGAGEMENT MODEL OF DOWNHOLE MOTOR AND APPLICATION by KUANG YuChun, ZHANG Cong, WU LongMei, DONG ZongZheng, REN HaiTao

“…Through the balance theory of contact force system and the iteration method,the center trace of rotor and the normal interference were obtained. …”
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Efficient implementation scheme of SM4 algorithm based on FPGA by ZHANG Hongke, YUAN Haonan, DING Wenxiu, YAN Zheng, LI Bin, LIANG Dong

“…To address the inefficient data processing performance and excessive resource utilization issues that field-programmable gate array (FPGA)-based SM4 implementations faced, an implementation scheme that adopted both iteration and pipeline in order to reduce resource consumption and improve throughput was proposed. …”
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Computation energy efficiency maximization based resource allocation scheme in wireless powered mobile edge computing network by Liqin SHI, Yinghui YE, Guangyue LU

“…For wireless powered mobile edge computing (MEC) network,a system computation energy efficiency (CEE) maximization scheme by considering the limited computation capacity at the MEC server side was proposed.Specifically,a CEE maximization optimization problem was formulated by jointly optimizing the computing frequencies and execution time of the MEC server and the edge user(EU),the transmit power and offloading time of each EU,the energy harvesting time and the transmit power of the power beacon.Since the formulated optimization problem was a non-convex fractional optimization problem and hard to solve,the formulated problem was firstly transformed into a non-convex subtraction problem by means of the generalized fractional programming theory and then transform the subtraction problem into an equivalent convex problem by introducing a series of auxiliary variables.On this basis,an iterative algorithm to obtain the optimal solutions was proposed.Simulation results verify the fast convergence of the proposed algorithm and show that the proposed resource allocation scheme can achieve a higher CEE by comparing with other schemes.…”
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RANSAC based robust localization algorithm for visual sensor network by Bo ZHANG, Hai-yong LUO, Ji-wei LIU, Fang ZHAO

“…Due to node failures or environmental changes,observed data on the target will be error in visual sensor network,so the least squares based multi-vision localization algorithm won’t be accurate.A centralized RANSAC based robust localization method was proposed,which can remove the error data and improve the positioning accuracy.Furthermore,to address this issue,energy imbalance of network nodes in centralized RANSAC where all computing load is executed in one single node,a robust localization algorithm based on distributed RANSAC was also proposed,which can distribute a large number of iterative calculations into each node averagely to ensure the network balance on calculation and energy without affecting the robustness.Finally,through comparing experiments on no-RANSAC,cen-RANSAC and dis-RANSAC,it’s verified that this algorithm can obtain robust and good positioning results in a predetermined probability,and the time complexity was analyzed via experiment.…”
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Cognitive waveform design for radar-communication transceiver networks by Yu YAO, Yanjie LI, Lenan WU, Pu MIAO, Xiaoyu TANG

“…The system architecture for cognitive radar-communication (CRC) transceiver was proposed.A cognitive waveforms design approach, which is suitable for simultaneously performing both data communication and target detection was presented.This approach aims at estimating target scattering coefficient (TSC) from the radar scene and facilitating high-data-rate communications.In order to minimize the mean square error (MSE) of the TSC, a convex cost function was established.The peak to average power ratio (PAPR)-constrained optimal solution was achieved by applying the Kalman filtering-based strategy to design the set of ultra-wideband (UWB) transmission pulses and embed into them the information data with the M-ary position phase shift keying modulation technique.In addition to theoretical considerations, the simulation results show an improvement in TSC estimation and target detection probability as the number of iterations increases, while still transmitting data rates in the range of several Mbit/s with low bit error rates between CRC transceivers.…”
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Semi-supervised learning by constructing query-document heterogeneous information network by Yu-feng LIU, Ren-fa LI

“…A semi-supervised learning algorithm based on two frameworks including the novel graph-based regularization framework and the iterative framework is investigated. In the regularization framework, a new cost function to consider the direct relationship be-tween two entity sets and the content information from both sides which leads to a significant improvement over the baseline methods is developed. …”
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Analysis of the Three-dimensional Transient Temperature Field of Rubber Parts of High Elastic Coupling by Lu Jinming, Liu Yun, Wen Huabing, Mao Nanmin, Zhang Pan

“…A dynamic thermal mechanical analysis is conducted,according to the relationship between damping factor and temperature,the loss analysis iteration is carried out. The temperature distribution test of rubber parts is performed on the torsion vibration test bench,the error of two calculation methods and measured values are compared and the validity of the numerical simulation method is verified. …”
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Reliable Shape Optimization of Structures Subjected to Transient Dynamic Loading Using Genetic Algorithms by Sabyasachi Chand, Anjan Dutta

“…Both space and time discretization errors are evaluated and appropriate finite element mesh and time step values as obtained iteratively are adopted for accurate dynamic response. …”
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Forward Kinematics Analysis of Quadruped Bionic Robot with Spine based on Dimensionality-reduction Method by Wang Liangwen, Mu Yalin, Yue Lei, Li Hongpeng, Wang Xinjie, Du Wenliao

“…By using the dimensionality-reduction method,one of the formulas is translated to the constraint condition,the iteration procedure is used for the rest of equation sets to seek solutions of the redundant drive angles which satisfy the constraint condition. …”
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Interactive Embodied Intelligence of Machines by Deyi Li

“…For “embodied intelligence” in the farming machine context, we propose (1) deep learning should be performed iteratively via real-time interactions with the external world; (2) embodied control and self-regulation can ensure coordination between behaviors of machines and their environment; (3) intelligent farming machines are characterized by the ability to interact, learn, and grow autonomously.…”
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Application of Third-Order Schemes to Improve the Convergence of the Hardy Cross Method in Pipe Network Analysis by Majid Niazkar, Gökçen Eryılmaz Türkkan

“…This obviously indicates that the modified schemes, particularly the three-step methods, improve the performance of the original loop corrector method by taking lower number of iterations with the compensation of relatively more computational efforts.…”
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