An Embedded Cloud Design for Internet-of-Things by Teemu Laukkarinen, Jukka Suhonen, Marko Hännikäinen

“…Distributing processing between these heterogeneous devices could yield to better performance and sharing, and extending resources of the devices could yield to more intelligent ubiquitous applications. Such a design can be called as “embedded cloud”, which is defined in this paper. …”
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A Gradient-Based Reinforcement Learning Algorithm for Multiple Cooperative Agents by Zhen Zhang, Dongqing Wang, Dongbin Zhao, Qiaoni Han, Tingting Song

“…Multi-agent reinforcement learning (MARL) can be used to design intelligent agents for solving cooperative tasks. Within the MARL category, this paper proposes the probability of maximal reward based on the infinitesimal gradient ascent (PMR-IGA) algorithm to reach the maximal total reward in repeated games. …”
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Analysis of Differences in ECG Characteristics for Different Types of Drivers under Anxiety by Yongqing Guo, Xiaoyuan Wang, Qing Xu, Quan Yuan, Chenglin Bai, Xuegang (Jeff) Ban

“…Our findings of this study contribute to the development of more intelligent and personalized driver warning system, which could improve road traffic safety.…”
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High-integrated photonic tensor core utilizing high-dimensional lightwave and microwave multidomain multiplexing by Xiangyan Meng, Nuannuan Shi, Guojie Zhang, Junshen Li, Ye Jin, Shiyou Sun, Yichen Shen, Wei Li, Ninghua Zhu, Ming Li

“…Benefiting from the available optical multidimensional information entropy, optical intelligent computing is used as an alternative solution to address the emerging challenges of electrical computing. …”
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Automatic recognition of pulse repetition interval modulation using temporal convolutional network by Abolfazl Dadgarnia, Mohammad Taghi Sadeghi

“…Abstract Pulse Repetition Interval (PRI) modulation recognition is a key issue in radar identification process in modern electronic intelligent (ELINT) and electronic support measure (ESM) systems. …”
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A Robust License Plate Detection and Character Recognition Algorithm Based on a Combined Feature Extraction Model and BPNN by Fei Xie, Ming Zhang, Jing Zhao, Jiquan Yang, Yijian Liu, Xinyue Yuan

“…The rapid development of the license plate recognition technology has made great progress for its widespread uses in intelligent transportation system (ITS). This paper has proposed a novel license plate detection and character recognition algorithm based on a combined feature extraction model and BPNN (Backpropagation Neural Network) which is adaptable in weak illumination and complicated backgrounds. …”
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EUROPEAN EXPERIENCE OF FINANCIAL MARKETS REGULATION AND OPPORTUNITIES FOR ITS APPLICATION IN RUSSIA by R. A. Kasyanov

“…Scrutiny of the European regulators active at the level of the European Union, as well as the national experience of the financial regulators of Luxemburg and Belgium gives a better insight into the prospects of the regulatory reform that is supposed to make the future system intelligible, lucid and self-sufficient, which should be reflected in the underlying legislation.…”
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Jute fabric in the development of a smart thermochromic textile by Ana Paula Hiller, André Luiz Marquardt, Andrea Cristiane Krause Bierhalz, Fernanda Steffens

“…In this way, the purpose of this work was to functionalize a fabric from jute fiber with a thermochromic agent, making it a material with an intelligent property, being able to react thermally to the environment in which it is inserted. …”
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Expression Recognition Method Using Improved VGG16 Network Model in Robot Interaction by Shengbin Wu

“…Aiming at the problems of poor representation ability and less feature data when traditional expression recognition methods are applied to intelligent applications, an expression recognition method based on improved VGG16 network is proposed. …”
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Bearing Fault Diagnosis based on Feature Visualization and Depth Adaptive Network by Hong Jiang, Yu Feng, Rong Fu

“…The results show that the accuracy of the proposed method is 94.97%，which is better than the common vibration signal fault diagnosis methods，and the proposed method can also suppress the noise and has good robustness，which provides a reasonable idea for the intelligent and accurate diagnosis of bearings.…”
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Improvement of Specific Multi-target Tracking Algorithm in Cross-domain Environment by MU Xiaofang, LI Hao, LIU Jiaji, LIU Zhenyu, LI Yue

“…[Purposes] Multi-target tracking in the cross-domain environment of surveillance video is a very important and challenging task in intelligent security. The difficulties of this task lie in the frequent occlusion between the objects in video frame, the unknown start and end time of the trajectory, the too small sized targets, the interactions between the objects, the apparent similarity, and the camera angle changes. …”
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Security and Market Liquidity Enhanced Transactive Energy System for Residential End Users by Vanga Anil, S. L. Arun

“…Further, scalability is achieved through an intelligent grouping mechanism, while market liquidity is enhanced using a demand-supply weighting strategy and a demand response approach based on locality net demand. …”
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Toward satellite-terrestrial integration: 6G cloud-fog collaborative self-organizing network by PENG Mugen, YUAN Shuo

“…In addition, key technologies such as integrated communication, sensing, navigation, and control waveform, as well as resource management based on satellite onboard fog processing, along with mobility management and intelligent information processing based on cloud-fog collaboration, were elaborated in detail. …”
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Secure and collaborative spectrum sensing scheme based on audit game by Yuntao WANG, Zhou SU, Qichao XU, Yiliang LIU, Haixia PENG, Hao LUAN

“…To defend against poisoning attacks and free-riding attacks conducted by malicious sensing terminals in crowd sensing-based collaborative spectrum sensing (CCSS), a novel audit game-based defense scheme was proposed, which combined the pre-deterrence and post-punishment mechanisms.Firstly, considering the audit budget constraint, a mixed-strategy audit game model under incomplete information was designed, which set a penalty strategy to deter malicious collaborators before spectrum sensing, and audited and punished them after the fusion of sensing data.Then, a lightweight audit chain model with on-chain and off-chain collaboration was designed, in which audit evidence was stored in an off-chain data warehouse and its metadata was publicly published on the blockchain.Furthermore, a distributed and intelligent audit algorithm based on reinforcement learning was devised to adaptively seek the approximate mix-strategy equilibrium of the audit game.Simulation results demonstrate that the proposed scheme can quickly obtain the stable and approximately optimal audit strategies and actively suppress the poisoning and free-riding behaviors of malicious collaborators, in comparison with conventional schemes.…”
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Anti-collision online early warning method for construction machinery around transmission line by Chaojie CHEN, Wei XIE, Linwei HE, Qiang TIAN, Runping HE, Zhefei WANG

“…The transmission line has long transmission distance and complex channel environment.Impacts caused by large construction machinery occur from time to time.The existing anti-collision monitoring scheme of transmission line mainly depends on manual implementation, which not only consumes a lot of human resources, but also is difficult to ensure the monitoring coverage.Therefore, an anti-collision on-line early warning method for construction machinery around the transmission line was proposed.This method innovatively used intelligent sensors and compressed sensing algorithm to realize the automatic on-line early warning of construction machinery threats in the transmission line channel.The pixel distribution characteristics, shape characteristics and distance characteristics of the target were collected by the camera module and microwave ranging module, and transmitted to the background.The background server used the established offline feature target database to realize the research and judgment results of the target through compressed sensing algorithm, and sent out early warning to the threatening target in time.The experimental results show that the recognition accuracy of the proposed algorithm can reach 96.34%, and can provide reliable early warning results for the transmission inspection department.…”
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Automated Generation of Traffic Incident Response Plan Based on Case-Based Reasoning and Bayesian Theory by Yongfeng Ma, Wenbo Zhang, Jian Lu, Li Yuan

“…The method will promote the intelligent generation and management of traffic incident response plans and also make Traffic Incident Management more scientific and effective.…”
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Multicriteria-Based Location Privacy Preservation in Vehicular Ad Hoc Networks by Haleem Farman, Bilal Jan, Muhammad Talha, Abi Zar, Huma Javed, Murad Khan, Aziz Ud Din, Kijun Han

“…Vehicular ad hoc networks (VANETs) are the preferable choice for Intelligent Transportation Systems (ITS) because of its prevailing significance in both safety and nonsafety applications. …”
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Boost Full Bridge Bidirectional DC/DC Converter for Supervised Aeronautical Applications by Alberto Cavallo, Beniamino Guida, Luigi Rubino

“…An innovative strategy called buffer mode is presented, defined as an intelligent combination of buck and boost modes. Extensive simulations and experimental results are shown, in order to confirm the effectiveness of the proposed approach.…”
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An Emergency Packet Forwarding Scheme for V2V Communication Networks by Faika Hoque, Sungoh Kwon

“…To reduce the intervehicle latency and end-to-end latency, which cause chain collisions, we propose a two-way intelligent broadcasting method with an adaptable distance-dependent backoff algorithm. …”
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Interaction Design of Educational App Based on Collaborative Filtering Recommendation by Ying Xu, Tse-Kian Neo, Hin Hew Soon

“…Educational app is the result of a combination between mobile Internet technology and education, which not only provides a more efficient and convenient method of learning for each subject but also expands the possibilities for teaching each subject through intelligent interaction. On this basis, this paper proposes an educational app design method based on collaborative filtering recommendations and investigates ways to improve the use of mobile apps to create an interactive teaching mode. …”
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