Consensus Mechanism of IoT Based on Blockchain Technology by Yue Wu, Liangtu Song, Lei Liu, Jincheng Li, Xuefei Li, Linli Zhou

“…Blockchain nodes use the Diffie–Hellman algorithm for key negotiation. Sensors and blockchain nodes can use the shared key to generate HMAC (Hash-based Message Authentication Code) signatures for sensor-aware transactions and use the Verifiable Random Function to implement block nodes. …”
Get full text

A Fixed-Time Zero Sequence Circulating Current Suppression Strategy Based on Extended Kalman Filter by Xiaopeng Li, Guofeng He, Yuanhao Zhou, Yanfei Dong, Hang Wang

“…Secondly, to reduce the influence of the inductor parameters on the ZSCC control effect, the EKF is used to identify the online inductance parameters of the filter, and the robustness of the algorithm can be improved. Subsequently, based on the Lyapunov stability criterion, it has been proved that the proposed control strategy is fixed-time stable. …”
Get full text

Single- versus Multiobjective Optimization for Evolution of Neural Controllers in Ms. Pac-Man by Tse Guan Tan, Jason Teo, Kim On Chin

“…Pac-Man scores (screen-capture mode) and minimizing neural network complexity. This proposed algorithm is called Pareto Archived Evolution Strategy Neural Network or PAESNet. …”
Get full text

Closed Loop Finite Element Modeling of Piezoelectric Smart Structures by Guang Meng, Lin Ye, Xing-jian Dong, Ke-xiang Wei

“…The Eigensystem Realization Algorithm (ERA) is then employed to develop an explicit state space model of the equivalent linear system for control law design. …”
Get full text

Single cell suppression profiling of human regulatory T cells by Jonas Nørskov Søndergaard, Janyerkye Tulyeu, David Priest, Shimon Sakaguchi, James B. Wing

“…To overcome this limitation, we here develop ‘single cell suppression profiling of human Tregs’ (scSPOT). scSPOT uses a 52-marker CyTOF panel, a cell division detection algorithm, and a whole PBMC system to assess the effect of Tregs on all other cell types simultaneously. …”
Get full text

Jupiter Evolutionary Models Incorporating Stably Stratified Regions by Roberto Tejada Arevalo, Ankan Sur, Yubo Su, Adam Burrows

“…This requires not only a mass density model, the major relevant byproduct of the Juno data, but a thermal model that is subject to interior heat transport, a realistic atmospheric flux boundary, a helium rain algorithm, and the latest equation of state. The result is a good fit to most major thermal, compositional, and structural constraints that still preserve a fuzzy core and that should inform future more detailed models of the current Jupiter in the context of its evolution from birth.…”
Get full text

A Modified Cellular Automaton Approach for Mixed Bicycle Traffic Flow Modeling by Xiaonian Shan, Zhibin Li, Xiaohong Chen, Jianhong Ye

“…Field data were collected on physically separated bicycle path in Shanghai, China, and were used to calibrate the CA model using the genetic algorithm. Traffic flow features between simulations of several CA models and field observations were compared. …”
Get full text

Case Series of Zone III Resuscitative Endovascular Balloon Occlusion of the Aorta in Traumatic Shock Patients by Byungchul Yu, Gil Jae Lee, Kang Kook Choi, Min A Lee, Jihun Gwak, Youngeun Park, Jung Nam Lee

“…We aimed to describe our experience of successful Zone III REBOA and to discuss its algorithm, techniques, and related complications. Methods We reviewed consecutive cases who survived from hypovolemic shock after Zone III REBOA placement for 4 years. …”
Get full text

Design and Simulation of a Fused Silica Space Cell Culture and Observation Cavity with Microfluidic and Temperature Controlling by Shangchun Fan, Jinhao Sun, Weiwei Xing, Cheng Li, Dongxue Wang

“…In order to provide appropriate flow rate, temperature, and shear force for space animal cell culture, a closed-loop microfluidic circuit and proportional, integrating, and differentiation (PID) algorithm are employed. This paper also illustrates system architecture and operating method of the principle prototype. …”
Get full text

ECT Image Recognition of Pipe Plugging Flow Patterns Based on Broad Learning System in Mining Filling by Xuebin Qin, ChenChen Ji, Yutong Shen, Pai Wang, Mingqiao Li, Junle Zhang

“…Slurry flow in pipeline is regarded as a two-phase flow, and the multishape distribution was reconstructed into images by ECT and intelligently recognized by broad learning system (BLS) algorithm. BLS is a feedforward neural network with few optimization parameters and fast training speed. …”
Get full text

Accelerating ray tracing engine of BLENDER on the new Sunway architecture by Zhaoqi Sun, Zhen Wang, Mengyuan Hua, Puyu Xiong, Wubing Wan, Ping Gao, Wenlai Zhao, Zhenchun Huang, Lin Han

“…Ray tracing has become the most effective algorithm for image rendering, but its complexity and large amount of computing data require sophisticated HPC solutions. …”
Get full text

A CBA-KELM-Based Recognition Method for Fault Diagnosis of Wind Turbines with Time-Domain Analysis and Multisensor Data Fusion by Xiafei Long, Ping Yang, Hongxia Guo, Zhuoli Zhao, Xiwen Wu

“…In this paper, a novel fault diagnosis methodology based on a cloud bat algorithm (CBA)-kernel extreme learning machines (KELM) approach for wind turbines is proposed via combination of the multisensor data fusion technique and time-domain analysis. …”
Get full text

Distributed Synchronization Control to Trajectory Tracking of Multiple Robot Manipulators by Yassine Bouteraa, Jawhar Ghommam, Gérard Poisson, Nabil Derbel

“…Based on the well-known consensus algorithm, the control strategy consists in synchronizing the joint position and the velocity of each robot in the network with respect to neighboring robots' joints and velocities. …”
Get full text

Spread Sea Clutter Suppression in HF Hybrid Sky-Surface Wave Radars Based on General Parameterized Time-Frequency Analysis by Zhuo-qun Wang, Ya-jun Li, Jun-nan Shi, Peng-fei Wang, Ai-hua Liu, Xin-fan Xia, De-hong Chen

“…Then, the forward-backward linear prediction (FBLP) algorithm is used to suppress the spread sea clutter caused by bistatic angle. …”
Get full text

Blind Channel Estimation Based on Multilevel Lloyd-Max Iteration for Nonconstant Modulus Constellations by Xiaotian Li, Jing Lei, Wei Liu, Erbao Li, Yanbin Li

“…Moreover, when the number of received symbols is small, we propose the lacking constellations equalization algorithm to reduce the influence of lacking constellations. …”
Get full text

Beam Tilt Aberration Detection of the Seven-Unit Phased Fiber Laser Array by Xin Yu, Xingyue Wang, Jing Liang, Cai Liu, Xiaolong Ni, Suping Bai, Jiasu Li, Zeping Liu, Lijie Hou

“…It could not only directly detect the beam’s tilt angle but also maintained detection accuracy while reducing the algorithm complexity.…”
Get full text

Development of a New Modified Sonar Inspired Optimization based on Machine Learning Methods for Evaluating Compressive of High-Performance Concrete by Ali Nikkhoo, Amin Moshtagh, Mehri Mehrnia

“…This study examines the effectiveness of expert frameworks in determining compressive strength, aiming to enhance accuracy through the development of a master artificial neural network (ANN) system utilizing the sonar inspired optimization (SIO) algorithm. The ANN model employs exploratory data to establish initial optimal weights and biases, thereby improving precision. …”
Get full text

Multiobjective Synthesis of Steerable UWB Circular Antenna Array considering Energy Patterns by Leopoldo A. Garza, Marco A. Panduro, David H. Covarrubias, Alberto Reyna

“…The method of Differential Evolution for Multiobjective Optimization (DEMO) is used as the optimization algorithm in this work. This design of steerable UWB circular arrays considers the optimization of the true-time exciting delays and the amplitude coefficients across the antenna elements to operate with optimal performance in the whole azimuth plane (360°). …”
Get full text

Reinforcement Learning for Reconfigurable Robotic Soccer by M. Shameer Ahamed, J. J. J. Pey, S. M. Bhagya P. Samarakoon, M. A. Viraj J. Muthugala, Mohan Rajesh Elara

“…RL was used with the Proximal Policy Optimisation (PPO) algorithm to train and optimise goal scoring. The environment was developed and trained in Unity. …”
Get full text

Distributed secondary control for DC microgrids using two-stage multi-agent reinforcement learning by Fei Li, Weifei Tu, Yun Zhou, Heng Li, Feng Zhou, Weirong Liu, Chao Hu

“…The multi-agent Proximal Policy Optimization (PPO) algorithm is utilized to regulate the current and voltage of each node in the microgrids. …”
Get full text