Comparative analysis of Q-learning, SARSA, and deep Q-network for microgrid energy management by Sreyas Ramesh, Sukanth B N, Sri Jaswanth Sathyavarapu, Vishwash Sharma, Nippun Kumaar A. A., Manju Khanna

“…Utilizing the PyMGrid simulation framework, this study not only develops intelligent control strategies but also integrates advanced mathematical control techniques, such as Model Predictive Control (MPC) and Kalman filters, within the Markov Decision Process (MDP) framework. …”
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Distributed data trading algorithm based on multi-objective utility optimization by Xiaohong HUANG, Yong ZHANG, Desheng SHAN, Yekui QIAN, Lu HAN, Dandan LI, Qun CONG

“…The traditional centralized data trading models are not well applicable to the current intelligent era where everything is interconnected and real-time data is generated, and in order to maximize the use of collected data, it is essential to design an effective data trading framework.Therefore, a distributed data trading framework based on consortium blockchain was proposed, which realized P2P data trading without relying on a third party.Aiming at the problem that existing data trading models only consider the factors of the data itself and ignore the factors related to user tasks, a bi-level multi-objective optimization model was constructed based on multi-dimensional factors, such as data quality, data attributes, attribute relevance and consumer competition, to optimize the utilities of data provider (DP) and data consumer (DC).To solve the above model, an improved multi-objective genetic algorithm-collaborative NSGAII was proposed, calculated by the cooperation of DP, DC and data aggregator (AG).The simulation results show that the collaborative NSGAII achieves better performance in terms of the utilities of DP and DC, thus realizing more effective data trading.…”
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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. …”
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Fuzzy-Based PID Motion Control for Inhalation-Type Floating Garbage Cleaning Robots by Zheng Li, Xiaoxiao Mi, Michael V. Basin, Hongzheng Zeng

“…This paper introduces an intelligent controlled cleaning tool for picking up underwater floating garbage. …”
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The Car Following Model with Relative Speed in Front on the Three-Lane Road by Zichu Gao, Ning Zhang, Livia Mannini, Ernesto Cipriani

“…On the complex three-lane road, if intelligent traffic management system based on the huge traffic data for drivers is applied in real life, it is very helpful to ensure traffic safety, which is also the trend of transportation development in future.…”
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Collaborative control technology and application of support and modification for soft-rock roadway in a kilometer-deep coal mine by En Wang, Shuaifeng Yin, Xuexi Chen, Ze Gao, Aiguo Sun, Yitao Yan

“…The results provide important and preliminary technical references for realizing safe and intelligent mining in coal mines.…”
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Survey on vertical handoff in heterogeneous wireless networks by Yu-wei WANG, Min LIU, Bing-yi FANG

“…Vertical handoff between different access technologies is the basic requirement for convergence of different access technologies.It is also the key technology to implement interconnection of heterogeneous networks and support seamless integration of different access networks.As a result,providing efficient solutions for vertical handoff has received tremendous attention from the academia and industry all over the world.With the trend of diversity of access technologies,unification of networks and synthesis of applications,cellular mobile communication,broadband wireless access and fixed access will be connected to a unified IP-based core network.The integration of existing and emerging heterogeneous wireless networks requires the design of intelligent vertical handoff techniques to enable mobile users to switch network access points and experience uninterrupted service continuity.During the vertical handoff procedure,handoff decision is a crucial issue for an efficient mobility.The definition and key concept of vertical handoff are given and its categories are introduced.Subsequently,the authors classify the vertical handoff decision algorithms into three main categories and overview their basic principles.Especially,the features of these three categories of algorithms are analyzed and compared.Finally,future works about vertical handoff are outlined.…”
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Railway safety monitoring algorithm based on distributed optical fiber vibration sensor by Fuyang CHEN, Bin JIANG, Yu SHA

“…Aiming at the monitoring problem of the human climbing behaviour existing along the railway,a railway safety detection algorithm based on distributed optical fiber vibration sensors was proposed by combining the distributed optical fiber sensing technology and signal analysis technology.The surrounding vibration was sensed and transmitted through the optical cables laid along the fence network of the railway,and then the Internet of things (IoT) connection between the railway and monitoring algorithm was built to realize the intelligent monitoring of the climbing behavior.In view of the complicated surrounding environment of the railway and more interference,the Hamming window and wavelet threshold denoising method were used to filter the signal of each frame to improve the signal-to-noise ratio of the vibration signal.In the selection of features,the power spectrum and short-time over-level rate of the signal were extracted from the time domain and frequency domain respectively as a joint feature to determine whether there was climbing or creeping behavior.Since that the climbing behavior was spatially continuous,the minimum alarm range was set to filter out alarms with a too small range,which improved the accuracy of the monitoring system.…”
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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.…”
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Development and Control of a Robotic Exoskeleton for Shoulder, Elbow and Forearm Movement Assistance by Mohammad Habibur Rahman, Thierry Kittel-Ouimet, Maarouf Saad, Jean-Pierre Kenné, Philippe S. Archambault

“…Since the number of such cases is constantly growing and that the duration of treatment is long, an intelligent robot could significantly contribute to the success of these programs. …”
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The Analysis of Diffusion and Priorities of ICT Centers in Rural Areas of Zabol by Gharib Fazelniya, Akbar Kiani, Ali Esmailzadeh

“…Information and Communication Technologies (ICTs) aid rural societies to encounter problems and difficulties intelligently and confront wisely with changes in economy, society and other fields. …”
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Plant Disease Identification Based on Deep Learning Algorithm in Smart Farming by Yan Guo, Jin Zhang, Chengxin Yin, Xiaonan Hu, Yu Zou, Zhipeng Xue, Wei Wang

“…Therefore, the deep learning algorithm proposed in the paper is of great significance in intelligent agriculture, ecological protection, and agricultural production.…”
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Architecture and Key Technologies of Access Network for Satellite-Terrestrial Cooperation by Wei DENG, Lin ZHAO, Weiwen WENG, Qin DU, Ke MA, Jinxia CHENG, Long ZHANG

“…With the development of ubiquitous and broadband communication requirements and the satellite-ground integration communication technology, the satellite and ground cellular communication industry ecosystem is gradually moving towards integration.In order to meet the application scenarios and technical requirements of satellite-terrestrial cooperation, the main technical challenges of the access network architecture were analyzed.Based on the overall principles of connection dynamics, unified resource management and controlled by ground network, the architecture of access network for satellite-terrestrial cooperation was elaborated from space segment, ground segment and cooperative segment.Key technologies of coverage cooperation, service cooperation, energy saving cooperation and capability cooperation were proposed based on the elaborated network architecture.By design cooperative network elements, such as intelligent dynamic cooperative unit, dynamic Xn interface, distributed TT＆amp;C units, the useful information between satellite and ground networks interacted deeply, a dynamic and efficient satellite-terrestrial cooperation mechanism could be realized.It could promote further complementarity between satellite and ground networks and improved overall system performance in resource utilization rate, energy consumption, and network construction cost.…”
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Understanding the Internet of Nano Things: overview, trends, and challenges by Mainor Alberto Cruz Alvarado, Patricia Alejandra Bazán

“… Over the years, technological advancements have led to rapid growth of smart environments (offices, homes, cities, etc.). The increase of intelligent environments suggests the interconnectivity of applications and the use of the Internet. …”
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Effect of Deep Brain Stimulation on Speech Performance in Parkinson's Disease by Sabine Skodda

“…Though, these ameliorations of single speech modalities were not always accompanied by an improvement of overall speech intelligibility. On the other hand, there are also indications for an induction of dysarthria as an adverse effect of STN-DBS occurring at least in some patients with PD. …”
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Short-Term Traffic Flow Prediction of Expressway: A Hybrid Method Based on Singular Spectrum Analysis Decomposition by Chunyan Shuai, Zhengyang Pan, Lun Gao, HongWu Zuo

“…Real-time expressway traffic flow prediction is always an important research field of intelligent transportation, which is conducive to inducing and managing traffic flow in case of congestion. …”
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Breast Cancer Detection Using Ensemble Classifiers for Accuracy Improvement by Mahboubeh Shamsi, Mohadaseh Karimian, Marziyeh Karimian

“…Nowadays, data mining algorithms can provide intelligent methods in the health and treatment system that accurately detect breast cancer. …”
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Performance Comparison of Cherry Tomato Ripeness Detection Using Multiple YOLO Models by Dayeon Yang, Chanyoung Ju

“…This study provides a foundation for intelligent harvesting robots applicable in real-world.…”
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APPLICATION OF CONVOLUTIONAL NEURAL NETWORK AND CHAOS THEORY IN FAULT DIAGNOSIS OF ROLLING BEARINGS by JIN JiangTao, XU ZiFei, LI Chun, MIAO WeiPao, ZHANG WanFu, LI Gen

“…In order to solve the traditional methods in the process of judging the fault type of the bearing caused by signal strongly nonlinear misjudgment wrongly, based on the chaos theory, the phase space reconstruction method（PSR） is used to restore the system dynamics characteristics and the convolution neural network（CNN） is used to learn and extract the effective nonlinear information from the chaotic sequence, proposes the PSR-CNN intelligent fault diagnosis method, visualizes the attractor trajectory, and analyzes the nonlinear characteristics of each fault signal. …”
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An affine invariant approach for dense wide baseline image matching by Fanhuai Shi, Jian Gao, Xixia Huang

“…Visual sensor networks have emerged as an important class of sensor-based distributed intelligent systems, where image matching is one of the key technologies. …”
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