Simulation-Based Sensor Location Model for Arterial Street by Qinxiao Yu, Ning Zhu, Geng Li, Shoufeng Ma

“…Traffic sensors serve as an important way to a number of intelligent transportation system applications which rely heavily on real-time data. …”
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Privacy self-correlation privacy-preserving scheme in LBS by Weihao LI, Jin CAO, Hui LI

“…The prevalence of mobile intelligent terminals gives the location-based service (LBS) more opportunities to enrich mobile users’ lives.However,mobile users enjoy the convenience with the cost of personal privacy.The side information and mobile user’s recent requirement records were considered,which were obtained or stored by the service provider.Based on the existence of recent requirement records,adversary can employ the inference attack to analysis mobile user’s personal information.Therefore,two schemes were proposed,including of basic privacy self-correlation privacy-preserving scheme (Ba-2PS) and enhanced privacy self-correlation privacy-preserving scheme(En-2PS).In En-2PS,the privacy-preserving scheme was designed from two dimensions of aspects of time factor and query region,which increased the uncertainty inferring out the real information.Finally,the privacy analysis was illustrated to proof En-2PS’s privacy degree,then the performance and privacy evaluation results indicate that En-2PS is effective and efficient.…”
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Novel Ensemble Approach with Incremental Information Level and Improved Evidence Theory for Attribute Reduction by Peng Yu, Yifeng Zheng, Ziwen Liu, Baoya Wei, Wenjie Zhang, Ziqiong Lin, Zhehan Li

“…With the development of intelligent technology, data in practical applications show exponential growth in quantity and scale. …”
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Research on Optimizing Selection and Optimizing Matching Technologies of Aeroengine Fan Rotor Blades by Lili Li, Kun Chen, Jianmin Gao, Zhiyong Gao, Junkong Liu

“…Aiming at the problem of low resources utilization of rotating blades in the selection process of aeroengine fan rotor blades, this paper takes the first-order bending dispersion, first-order torque dispersion, and gravitational moment difference of rotor blades as the selection criteria and takes the minimum remaining blades as the optimization goal. An intelligent selection algorithm of blades based on the collocation degree of blades is proposed and achieves the efficient selection and full utilization of rotating blades. …”
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Influence of Carbon Addition to Fe-Mn-Si Type Alloy on the Structure and Shape Memory Effect by Witold Prendota, Kamil Goc, Shunsuke Miyazawa, Akito Takasaki, Damian Rybicki, Czeslaw Kapusta

“…The study presented is focused on the influence of carbon addition on properties of the Fe-Mn-Si type intelligent materials with basic composition of Fe64Mn30Si6 (wt. %). …”
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Dynamics Analysis and Intermittent Energy Feedback Control of m-HR Neuron Model under Electromagnetic Induction by Jiankui Peng, Suoping Li

“…This will improve the beneficial discussion for the construction of brain-like intelligent network and efficient regulation.…”
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Converting a controlled vocabulary into an ontology: the case of GEM by Jian Qin, Stephen Paling

“…The multi-dimensionality of digital resources requires a more versatile and flexible representation to accommodate intelligent information representation and retrieval. …”
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Design and Study of LoRa-Based IIoT Network for Underground Coal Mine Environment by Ankita Ray Chowdhury, Saikat Chandra Bakshi, Ankita Pramanik, Gopal Chandra Roy

“…However, unlike previous works, the current work takes into account the power constraints in the underground coal mine environment, and most low-power consumption system is presented with an intelligent design approach. The implementation of the proposed adaptive data rate algorithm achieves 1.46 Kbps data rate at spreading factor 9, bandwidth 125 KHz, and transmitted power 11 dBm and extended the battery life of the deployed end nodes. …”
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Short-term traffic flow prediction based on adaptive rank dynamic tensor analysis by Lingchao HE, Dong LIN, Xinxin FENG

“…Short-term traffic flow prediction in intelligent transportation system can provide data support in areas such as route planning,traffic management,public safety and so on.In order to improve the prediction accuracy with missing and abnormal data,a short-term traffic flow prediction method based on the adaptive rank dynamic tensor analysis was proposed.Firstly,a four dimensional tensor consisted of week,day,time and space was constructed,which could excavate the multimodal correlation of traffic flow data.Secondly,tensor flow data with dynamic structure was formed by using sliding window model.The principal component analysis (PCA) algorithm was extended to an offline tensor analysis algorithm that could accept tensor input.Then the adaptive rank and the forgetting factor were introduced to generate an adaptive rank dynamic tensor analysis algorithm.Finally,the tensor stream data was inputted into the adaptive rank dynamic tensor analysis algorithm to realize the short-term traffic flow prediction.The experimental results show that a good prediction can be achieved even with data missing.…”
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Embodied neuromorphic synergy for lighting-robust machine vision to see in extreme bright by Shijie Lin, Guangze Zheng, Ziwei Wang, Ruihua Han, Wanli Xing, Zeqing Zhang, Yifan Peng, Jia Pan

“…However, traditional auto-exposure solutions are vulnerable to illumination changes, splitting the continuous acquisition of unsaturated images, which significantly degrades the overall performance of underlying intelligent systems. Here we present the neuromorphic exposure control (NEC) system. …”
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An Efficient Prediction-Based Data Forwarding Strategy in Vehicular Ad Hoc Network by Wanting Zhu, Deyun Gao, Chuan Heng Foh

“…As an important infrastructure of intelligent transportation system (ITS), vehicular ad hoc networks (VANETs) provide navigation and positioning, information services, driver assistance, in-vehicle entertainment, and other functions for the owners improving the development of the future smart city. …”
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A survey on Wi-Fi signal based identification technology by Zhongcheng WEI, Xinqiu ZHANG, Bin LIAN, Wei WANG, Jijun ZHAO

“…With the constant progress of the information technology, the research on identification is developing towards unawareness and automation, and applied widely in many fields, such as human-computer interaction, smart home and intelligent security.As a non-contact wireless sensing technology, Wi-Fi signal based identification is progressively evolving towards the directions of multi-attribute identification and legality verification.Firstly, the principle of wireless signal-based identification was introduced, and reviews pretreatment processes from the viewpoint of signal processing were reviewed.Then, identification implementation was discussed from two different bases of walking and daily activities.Two major development trends of identification which were multi-attribute identification and legality verification were discussed from function evolution’s views.Finally, the multiple research areas were indicated including hyper-level feature extraction, daily activities’ analysis, identification model construction, and multi-technology fusion as future directions of realizing more robust, diversify and universal identification, which would provide the important support for the research and development of Internet of things perception layer.…”
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Alberti, Vasari, Leonardo, from disegno as drawing to disegno as projective milieu by Jean-Louis Déotte

“…It can be said that with the perspectival archi-apparatus, perfectly described by Alberti when he wants to create rules for the three arts (painting, sculpture, architecture), the milieu in an initial sense (knowing what supports and is located “before” and “between” apperception and artistic production, preceding the division between the intelligible and the sensible, form and matter, being-together and singularity), has entered in an era so new that we could not have been conscious of it sooner, precisely when the synthesis is madeaccording to other norms and criteria. …”
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A Hybrid Fuzzy Genetic Algorithm for an Adaptive Traffic Signal System by S. M. Odeh, A. M. Mora, M. N. Moreno, J. J. Merelo

“…In this work, it has been used to adapt the decision rules of FLCs that define an intelligent traffic signal system, obtaining a higher performance than a classical FLC-based control. …”
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Establishment and performance analysis of RIS-assisted coded relay cooperation system based on LDPC product codes by Shunwai ZHANG, Jin WANG

“…To pursue the ultra-reliable information transmission, the system which combined the reconfigurable intelligent surface (RIS) technology and coded relay cooperation technology was investigated.The RIS-assisted coded relay cooperation system model based on low density parity check (LDPC) product codes was established.Based on LDPC product codes, the information matrix was row-encoded by the source node and column-encoded by the relay node, respectively.An efficient joint iterative decoding algorithm was proposed.The two received signals at the destination were row-decoded and column-decoded iteratively to update the logarithmic likelihood ratios of information bits, and then the decoding decision was made.The closed-form solutions of the outage probability and the channel capacity with finite codelength were theoretically derived.Theoretical analysis and simulation results show that the proposed system obviously outperforms the traditional coded relay cooperation.The more number of RIS elements, the more significant advantage can be obtained.Simulation results also demonstrate that the channel capacity with finite codelength approaches the ideal channel capacity with the codelength of LDPC product codes increasing.…”
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Adaptive diagnosis method based on gearbox unbalanced fault data by TIAN Juan, XIE Gang, ZHANG Shun, WANG Yufei

“…ObjectiveThe existing intelligent fault diagnosis methods face challenges, such as model training relying on a large amount of labeled data, difficulty in obtaining fault data with different occurrence probabilities, and insufficient consideration of the impact of operating conditions. …”
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Medical Image Encryption and Decryption Based on DNA: A Survey by Saja Theab Ahmed, Dalal Abdulmohsin Hammood, Raad Farhood Chisab, Nurulisma Binti Hj. Ismail

“… In the medical field, advanced techniques such as e-health, intelligent health, and telemedicine apps are being deployed. …”
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Development and trend of IoT identifier technology by Ye TIAN, Jia LIU, Jie SHEN

“…The Internet of things has broken through the traditional human-to-human communication model and introduced the perception of the real world,thereby establishing the communication between things,human being and things,as well as achieving the dynamic acquisition of information,intelligent processing,and seamless interaction and collaborative sharing.The IoT identifier that identifies and distinguishes different target objects is the basis and prerequisite for achieving the above mentioned information communications and various IoT applications.The IoT identifier is used to uniquely identify the physical and logical entities within a certain range,so that the network and application can manage the target objects based on it,and the acquisition,processing,transmission,and exchange of related information is the most important and fundamental resource in IoT Internet of things.Moreover,it is the “identity card” of IoT object.In order to uniquely identify various heterogeneous resources within a certain range,and to obtain and transmit related information based on the control and management of target objects,it is necessary to provide a identification resolution service based on the IoT identifier,and realize different levels of mapping between identifiers.…”
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Prediction of Ionograms With/Without Spread‐F at Hainan by a Combined Spatio‐Temporal Neural Network by Pengdong Gao, Jinhui Cai, Zheng Wang, Chu Qiu, Guojun Wang, Quan Qi, Bo Wang, Jiankui Shi, Xiao Wang, Kai Ding

“…Abstract An intelligent high‐definition and short‐term prediction of ionograms with/without Spread‐F for the observation at Hainan (19.5°N, 109.1°E, magnetic 11°N) is presented in this paper, which comprises a spatio‐temporal ConvGRU network and a super‐resolution EDSR network. …”
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A Dynamic Allocation Method on Virtual Resource in Cloud Call Center by Ying Ling, Wei Xu

“…Business platform built on cloud computing cloud resource pool call center system, can not only do load balancing control at the operational level, realize intelligent call center scheduling and resource allocation, automatically do the equalization processing of incoming load and the agent check-in load, support word service, unified scheduling of service resources and unified operation and management of business, but also need to achieve dynamic resource allocation stretching because the cloud call center business systems deployed in the cloud data center resources pool can be shared with other applications infrastructure. …”
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