RIS-assisted terahertz frequency band vehicle network capacity optimization by Fatang CHEN, Xiaoling LIU, Dan WANG, Ruofan ZHANG

“…In order to alleviate the spectrum scarcity and capacity limitation of the current wireless system, the terahertz frequency band was introduced and the reconfigurable intelligent surface (RIS) was used for auxiliary communication to construct a downlink vehicle network.Considering the constraints of limited total system power, QoS constraints of cellular mobile users, and randomness constraints of vehicle and user locations, a hybrid optimization model was established for optimal power allocation and optimal deployment of RIS with the aim of maximizing the total rate of vehicle users.Based on the balance method, linear transformation method, and element elimination method, the original NP-hard problem was transformed into a convex optimization problem with complex correlation constraints and multivariate coupling.The inner layer iteration was based on the Lagrange multiplier method to solve the optimal power allocation, and the outer layer iteratively solved the optimal deployment of RIS based on a improved genetic algorithm.The simulation results show that rationally deploying the number and distribution density of RIS nodes based on optimal power allocation can save costs while achieving a higher target total capacity.…”
Get full text

Application of Optimized BP Neural Network In Financial Alert System by Qiaoyi Gao

“…Considering the shortcomings of BP neural network, genetic algorithm is used to optimize the specification. Finally, a new reference scheme is provided for economic early warning. …”
Get full text

Review on Social Media and Digital Security by Amar Yahya Hussien

“…The available studies mainly aim at both social media content and user security, including model, protocol, mechanism and algorithm. Unfortunately, there is a lack of investigating on effective and efficient evaluations and measurements for security and trustworthiness of various social media tools, platforms and applications, thus has effect on their further improvement and evolution. …”
Get full text

Monitoring Method for Road Waterlogging Based on Improved YOLOv8 by ZHANG Zheng, ZUO Xiangyang, LONG Yan, HUANG Haocheng, HE Lixin, LEI Xiaohui, WANG Mengqian

“…Therefore, this article proposed a real-time monitoring method for road waterlogging based on improved YOLOv8. Through the YOLOv8 algorithm, a convolutional block attention module (CBAM) attention mechanism was added to the neck structure network to enhance the important features of waterlogging areas, suppress general features, and improve the accuracy of identifying road waterlogging. …”
Get full text

Continuous User Verification in Cloud Storage Services using Deep Learning by burhan albayati

“…The best experimental result achieved an EER of 3.6% based on applying a deep learning algorithm (CNN). This result indicates and encourages the feasibility of using behavioral profiling to protect cloud users from misuse. …”
Get full text

A Traction Control Strategy with an Efficiency Model in a Distributed Driving Electric Vehicle by Cheng Lin, Xingqun Cheng

“…In emergency situation, a sliding mode control algorithm was employed to achieve antislip control through keeping the wheels’ slip ratios below 20%. …”
Get full text

SENSITIVITY ANALYSIS ON STRESS OF FLEXIBLE HINGES TO DESIGN PARAMETERS BASED ON TAGUCHI METHOD by WU JianJun, XIE ZhouWei, HUANG YuLin, WU XiaoMing

“…This method does not depend on optimization algorithm,can be employed for sensitivity analysis of discrete,non-differential or implicit-expression structures,and provides favorable reference to the robust design of the flexible hinges by improving its fatigue life.…”
Get full text

SBT Approach towards Analog Electronic Circuit Fault Diagnosis by V. Manikandan, N. Devarajan

“…A comparison of the proposed work with the previous works which also employ preprocessing techniques, reveals that our algorithm performs significantly better in fault diagnosis of analog circuits due to our proposed preprocessing techniques.…”
Get full text

Federated edge learning with reconfigurable intelligent surface and its application in Internet of vehicles by Ping WANG, Zhiwei YANG, Heju LI

“…Aiming at the problem that it is difficult to achieve an optimal trade-off between wireless communication and model accuracy in FEEL training caused by the heterogeneity of wireless links and data distribution, a reconfigurable intelligent surface (RIS) enabled federated edge learning system was proposed, which exploited the channel reconfigurability of RIS to adaptively manipulate the signal propagation environment, and utilized the over-the-air computation (Aircomp) to achieve fast model aggregation.Specifically, the convergence behavior of the FEEL algorithm under the influence of wireless channels and data heterogeneity was rigorously derived, and accordingly, an unified wireless resources optimization problem was constructed with the goal of minimizing the learning loss by jointly designing the transceiver design and the RIS phase shift.Simulation results demonstrate that the proposed scheme achieves substantial performance improvement compared against several baselines, and prove that RIS can play an important role in improving the accuracy of Aircomp enabled FEEL systems under data heterogeneity.Finally, the probability of applying it into Internet of vehicles is discussed.…”
Get full text

HEVC information hiding approach based on intra prediction modes modulation by Jie YANG, Song-bin LI, Hao-jiang DENG

“…For further improving the embedding efficiency in the processing of HEVC information hiding,a method for HEVC information hiding based on intra prediction models modulation was proposed.The space lattice dimen-sion N(N = 2,3,4)of each CTU was generated according to the key.The selection rule of intra prediction mode was utilized to select N modes which were located at vertex angle.The N modes were mapped to the value F through the space lattice mapping algorithm.Then N bits secret information were read from the bit file and converted to a deci-mal number D.In this way,N secret information bits were embedded in N intra prediction modes by modifying at most one mode.The experimental results approve that the proposed method has high embedding efficiency,small rate increase and minimal influence on the video quality and the anti-steganalysis experiment confirms that the pro-posed method has high concealment.…”
Get full text

Cultivation of Innovative Ability of College Physical Education Students Based on the Internet of Things Multimedia Environment by Bin Cai

“…In this paper, a terminal collaborative indoor positioning algorithm based on RSSI fingerprint optimization was proposed to study the innovation ability of physical education students in colleges and universities. …”
Get full text

Low-power transmission method for uplink millimeter-wave massive MIMO-NOMA system based on GSIC by Hui WANG, Qixin TAI, Liu LIU, Hong WANG, Rongfang SONG

“…The combination of non-orthogonal multiple access (NOMA) and millimeter-wave (mmWave) massive multiple-input multiple-output (MIMO) can meet the requirements for huge throughput and massive connectivity in future wireless communication network.The total system power minimization for uplink mmWave massive MIMO-NOMA was studied, and a novel framework for a hybrid beamforming mmWave massive MIMO-NOMA uplink transmission system was proposed based on group-level successive interference cancellation (GSIC).Specifically, users were grouped according to channel gain, intergroup users being served by NOMA and intra group users being served by space division multiple access.By designing analog beamforming matrices for different groups and performing joint optimization for digital beamforming and power control, a parallel iterative algorithm was proposed to solve the optimization problem.Simulation results show that the proposed method outperforms the conventional mmWave massive MIMO-NOMA based on clustering and user-level SIC in terms of total power consumption.…”
Get full text

Service clustering method based on description context feature words and improved GSDMM model by Qiang HU, Jiaji SHEN, Guanghui JING, Junwei DU

“…To address the problem that current service clustering methods usually faced low quality of service representation vectors, a service clustering method based on description context feature words and improved GSDMM model was proposed.Firstly, a feature word extraction method based on context weight was constructed.The words that fit well with the context of service description were extracted as the set of feature words for each service.Then, an improved GSDMM model with topic distribution probability correction factor was established to generate service representation vectors and achieve distribution probability correction for non-critical topic items.Finally, K-means++ algorithm was employed to cluster Web services based on these service representation vectors.Experiments were conducted on real Web services in Web site of Programmable Web.Experiment results show that the quality of service representation vectors generated by the proposed method is higher than of other topic models.Further, the performance of our clustering method is significantly better than other service clustering methods.…”
Get full text

Towards load adaptive routing based on link critical degree for delay-sensitive traffic in IP networks by Yang YANG, Jia-hai YANG, Hui WANG, Chen-xi LI, Yu-ding WANG

“…A load adaptive routing algorithm (LARA) was presented which could avoid the link to be congested to reduce the end-to-end delay. …”
Get full text

Dynamic switching based real-time routing in low-duty-cycle wireless sensor networks by Quan CHEN, Hong GAO

“…The dynamic switching based real-time(DSRT)routing protocol was proposed to handle the arbitrary end-to-end(E2E)real-time communication in the low-duty-cycle wireless sensor networks.Firstly,the concept of available speed was designed to compensate for the big sleep latency and facilitate discovering the routes with less latency based on two-hop neighbors’ information(at lease about 20% routing path with less latency was discovered by DRST in the experiments).Moreover,it was noticed that the congestion extent in the low-duty-cycle network was determined not only by the number of packets in the network output queue,but also the destination of the packets.However,the traditional method with one-hop neighbors’ information cannot differentiate this kind of congestion.Therefore,combined with the dynamic switching mechanism,the DSRT proposed a congestion avoiding algorithm by classifying the packets in the queue.Through comprehensive experiments,the efficiency of routing discovering and congestion avoiding of the DSRT protocol is demonstrated,and the E2E delay is decreased by at least 200% when the traffic was high.…”
Get full text

DYNAMIC CHARACTERISTICS OF A COLLISION SYSTEM WITH DRY FRICTION AND NONLINEAR CONSTRAINTS (MT) by MA Shuo, ZHU XiFeng, WANG JianFeng

“…Through the fourth-order variable step Runge-Kutta numerical algorithm, the dynamics of the mechanical vibration system generated by the low-frequency excitation of the p/1 periodic motion are analyzed. …”
Get full text

Scalable Fixed Point QRD Core Using Dynamic Partial Reconfiguration by Gayathri R. Prabhu, Bibin Johnson, J. Sheeba Rani

“…The square root and inverse square root operations in the Givens rotation algorithm are handled using a modified look-up table (LUT) based Newton-Raphson method, thereby reducing the area by 71% and latency by 50% while operating at a frequency 49% higher than the existing boundary cell architectures. …”
Get full text

Application of BO-BiGRU based post equalizer in high-speed underwater visible light communication system by Haoyu ZHANG, Li YAO, Chaoxu CHEN, Jianyang SHI, Chao SHEN, Nan CHI

“…Signals are susceptible to nonlinear effects in the process of underwater visible light communication (UVLC) channel transmission.In order to improve the communication performance of the system, it is very important to recover the received signals.A bidirectional gated recurrent unit model based on Bayesian optimization algorithm (BO-BiGRU) was proposed as post equalizer in UVLC system, which could automatically find the optimal hyperparameters.BO-BiGRU model was applied to the 1.2 m underwater experimental platform.64 quadrature amplitude modulation (QAM)-carrierless amplitude-and-phase modulation (CAPM) was adopted, and 3.10 Gbit/s rate of data transfer was achieved under the condition that the bit error ratio (BER) of the system was less than 3.8×10^-37% forward error correction (FEC), which is 128 Mbit/s higher than the traditional post equalization method.…”
Get full text

Classification and Visual Design Analysis of Network Expression Based on Big Data Multimodal Intelligence Technology by Zou Ping, Yueyan Liu

“…Finally, it studied the fusion algorithm between multimodal data and visual design, as well as the classification of network expression and the application result analysis of visual design in big data multimodal intelligence technology.…”
Get full text

Detection and Analysis of Tooth Profile Deviation of Cycloidal Gear based on Projection Method by Mo Jingyu, Luo Shanming, Mao Lingxia, Fan Jianming

“…Based on the optical image measurement system and the Sobel edge detection algorithm,the complete tooth profile image and the actual tooth profile edge point coordinate of the cycloid gear are obtained. …”
Get full text