The Possibility and Utility of Religious Science in Nasr’s Discourse of Traditionalism by Mohammadreza Khakigharamaleki

“…However such a support for scientific tradition is passive, because it loses to confront with modern sciences intelligently and from the standpoint of power. It is an invitation for solitary in order not to confront with west.…”
Get full text

A Multimode Dynamic Short-Term Traffic Flow Grey Prediction Model of High-Dimension Tensors by Huiming Duan, Xinping Xiao

“…Short-term traffic flow prediction is an important theoretical basis for intelligent transportation systems, and traffic flow data contain abundant multimode features and exhibit characteristic spatiotemporal correlations and dynamics. …”
Get full text

Comparative Analysis of Neural-Network and Fuzzy Auto-Tuning Sliding Mode Controls for Overhead Cranes under Payload and Cable Variations by Muhammad A. Shehu, Ai-jun Li, Bing Huang, Yu Wang, Bojian Liu

“…To maximize the benefits derived from the proposed control method, novel sliding slope-update based on intelligent neural-network and fuzzy algorithms were developed to tune the controller, guaranteeing precise tracking of the actuated variables as well as regulation of the unactuated variables. …”
Get full text

Multi-Smart Meter Data Encryption Scheme Basedon Distributed Differential Privacy by Renwu Yan, Yang Zheng, Ning Yu, Cen Liang

“…Finally, the simulation results show that the proposed scheme can encrypt the transmission of multi-intelligent meter data under the premise of satisfying the differential privacy mechanism. …”
Get full text

Fabry–Pérot cavity smart windows with superior solar and thermal modulation capabilities by Jin Li, Chunhui Zhang, Yunxiang Chen, Ke Jiao, Zhang Chen, Yifei Liu, Yanfeng Gao, Zongtao Zhang

“…VO2-based thermochromic materials can intelligently regulate the solar heat gains of building interiors. …”
Get full text

Urban Traffic Flow Forecast Based on FastGCRNN by Ya Zhang, Mingming Lu, Haifeng Li

“…Traffic forecasting is an important prerequisite for the application of intelligent transportation systems in urban traffic networks. …”
Get full text

Identification of 24 Unknown Substances (NIAS/IAS) from Food Contact Polycarbonate by LC-Orbitrap Tribrid HRMS-DDMS3: Safety Assessment by Vicent Yusà, Antonio López, Pablo Dualde, Olga Pardo, Igor Fochi, Pablo Miralles, Clara Coscollá

“…The workflow setup includes an intelligent data acquisition applied using LC-Orbitrap Tribrid-HRMS (MS3), with an automated data processing using Compound DiscovererTM. …”
Get full text

Design of anomalous reflecting metasurface for communication systems by Hany M. Zamel, Eman M. Eldesouki, Ahmed M. Attiya

“…The proposed approach provides a foundation for implementing intelligent metasurfaces in various communication applications.…”
Get full text

Studying the Simultaneous Effect of Autonomous Vehicles and Distracted Driving on Safety at Unsignalized Intersections by Mohammad Khashayarfard, Habibollah Nassiri

“…With the rapid advancements in automation technologies, transportation planners have strived to use Intelligent Transportation Systems (ITS) to minimize human error. …”
Get full text

A Collaborative Method on Reversible Lane Clearance and Signal Coordination Control in Associated Intersection by Xiaolan Xie, Luxi Dong, Huinan Gu, Hailing Li, Lieping Zhang

“…Combined with the future traffic state, the traffic capacity and saturation flow are greatly improved, and the intelligent reversible lane control is better achieved.…”
Get full text

TaxiInt: Predicting the Taxi Flow at Urban Traffic Hotspots Using Graph Convolutional Networks and the Trajectory Data by Jinmao Zhang, Huanchang Chen, Yiming Fang

“…Taxi flow is an important part of the urban intelligent transportation system. The accurate prediction of taxi flow provides an attractive way to find the potential traffic hotspots in the city, which helps to avoid serious traffic congestions by taking effective measures in advance. …”
Get full text

Statistics release and privacy protection method of location big data based on deep learning by Yan YAN, Yiming CONG, Mahmood Adnan, Quanzheng SHENG

“…Aiming at the problems of the unreasonable structure and the low efficiency of the traditional statistical partition and publishing of location big data, a deep learning-based statistical partition structure prediction method and a differential publishing method were proposed to enhance the efficacy of the partition algorithm and improve the availability of the published location big data.Firstly, the two-dimensional space was intelligently partitioned and merged from the bottom to the top to construct a reasonable partition structure.Subsequently, the partition structure matrices were organized as a three-dimensional spatio-temporal sequence, and the spatio-temporal characteristics were extracted via the deep learning model in a bid to realize the prediction of the partition structure.Finally, the differential privacy budget allocation and Laplace noise addition were implemented on the prediction partition structure to realize the privacy protection of the statistical partition and publishing of location big data.Experimental comparison of the real location big data sets proves the advantages of the proposed method in improving the querying accuracy of the published location big data and the execution efficiency of the publishing algorithm.…”
Get full text

Predicting Pedestrian Counts for Crossing Scenario Based on Fused Infrared-Visual Videos by Shize Huang, Wei Chen, Rongjie Yu, Xiaolu Yang, Decun Dong

“…Estimating the number of pedestrians based upon surveillance videos and images has been a critical task while implementing intelligent signal controls at intersections. However, this has been a difficult task considering the pedestrian waiting area is an outdoor scenario with complex and time-varying surrounding environment. …”
Get full text

Learning Spatial-Temporal Features of Ride-Hailing Services with Fusion Convolutional Networks by Dapeng Zhang, Feng Xiao, Gang Kou, Jian Luo, Fan Yang

“…Accurate and reliable taxi demand prediction is of great importance for intelligent planning and management in the transportation system. …”
Get full text

Strategies for reducing motion sickness in virtual reality through improved handheld controller movements by Khang Yeu Tang, Ge Yu, Juhong Wang, Yu He, Sen-Zhe Xu, Song-Hai Zhang

“…These strategies adjust the user’s pitch angle and field of view in real time or map the user’s real-world head acceleration to the virtual character. By intelligently adjusting the controller-to-VR display mapping, these methods reduce vertigo. …”
Get full text

A new method for recognizing geometric parameters of industrial robots by Bin Kou, Yi Zhang

“…Abstract Intelligent algorithms that are commonly used to obtain errors in the geometric parameters of industrial robots have a low accuracy, easily fall into the local optimal solution, and involve complicated coding such that they are unsuitable for use in engineering. …”
Get full text

Reliability Evaluation of Water-Rich Loess Tunnel with Lining Crack Based on Extension Theory by Xiaohui Xue, Jun Zhang, Xinxing Zhou

“…Crack width, crack depth, crack length, crack geometry, and water seepage of the Qiaoyuan tunnel were measured by intelligent crack measuring instrument, 10 m tape, laser scanner, and dosing cup. …”
Get full text

Design and implementation algorithm of safe driver assistant system based on EOG by Zhao LYU, Xiao-pei WU, Chao ZHANG, Bing WEI

“…In order to ensure driving safety, improve the intelligent level of the vehicle control system and realize“keeping hands on the wheel”, a safe driver assistant system (SDAS) based on EOG was proposed. …”
Get full text

A Lifetime of Catalytic Micro-/Nanomotors by Tao He, Yonghui Yang, Xuebo Chen

“…Despite considerable progress in their design and functionality, several obstacles remain, especially regarding the development of biocompatible materials and fuels, the integration of intelligent control systems, and the translation of these motors into practical applications. …”
Get full text

A Human-Computer Interaction System for Agricultural Tools Museum Based on Virtual Reality Technology by Ying Yang, Yiyi Fan, Ruizhi Sun

“…To address the problems of rigid interaction and terrible experience in the process of human-computer interaction, four human-computer interaction technologies are proposed to design and construct a more humanized system including intelligent scenes switching technology, multichannel introduction technology, interactive virtual roaming technology, and task-based interactive technology. …”
Get full text