Cognitive Computation and Systems最新文献

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Soil moisture content prediction model for tea plantations based on SVM optimised by the bald eagle search algorithm 基于秃鹰搜索算法优化的支持向量机茶园土壤水分预测模型
Cognitive Computation and Systems Pub Date : 2021-09-04 DOI: 10.1049/ccs2.12034
Ying Huang, Hao Jiang, Wen-feng Wang, Weixing Wang, Daozong Sun
{"title":"Soil moisture content prediction model for tea plantations based on SVM optimised by the bald eagle search algorithm","authors":"Ying Huang,&nbsp;Hao Jiang,&nbsp;Wen-feng Wang,&nbsp;Weixing Wang,&nbsp;Daozong Sun","doi":"10.1049/ccs2.12034","DOIUrl":"10.1049/ccs2.12034","url":null,"abstract":"<p>In order to solve the problem of low accuracy and efficiency of soil moisture content prediction in tea plantations and improve the level of soil water content prediction, a soil moisture content prediction model for tea plantations based on the support vector machine (SVM)-optimised bald eagle search (BES) algorithm (BES-SVM) is proposed. Soil data and environmental data of tea plantations were transmitted to the server using sensor nodes and weather station nodes. The prediction models of soil moisture content and natural environmental parameters such as soil electrical conductivity, soil temperature, air temperature, air humidity, light intensity, and rainfall were developed using the SVM model optimised by the bald eagle search algorithm, and the mean square error (MSE) and coefficient of determination (<math>\u0000 <mrow>\u0000 <msup>\u0000 <mi>R</mi>\u0000 <mn>2</mn>\u0000 </msup>\u0000 </mrow></math>) were calculated to evaluate the model performance. Meanwhile, the performance of the BES-SVM model is compared with the <b>particle swarm algorithm</b> optimisation SVM (PSO-SVM) and <b>genetic algorithm</b> optimised SVM (GA-SVM) models. Results show that the proposed model has a mean coefficient of determination of 95.65%, and the prediction performance is better than the PSO-SVM and GA-SVM model, indicating that the BES-SVM model has good performance and is a feasible prediction method for soil water content prediction and guiding irrigation and fertilisation management in tea plantations.</p>","PeriodicalId":33652,"journal":{"name":"Cognitive Computation and Systems","volume":"3 4","pages":"351-360"},"PeriodicalIF":0.0,"publicationDate":"2021-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/ccs2.12034","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121293529","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
Guest Editorial: Integrating sensor fusion and perception for human–robot interaction 嘉宾评论:集成传感器融合和感知的人机交互
Cognitive Computation and Systems Pub Date : 2021-08-28 DOI: 10.1049/ccs2.12031
Hang Su, Jing Guo, Wen Qi, Mingchuan Zhou, Yue Chen
{"title":"Guest Editorial: Integrating sensor fusion and perception for human–robot interaction","authors":"Hang Su,&nbsp;Jing Guo,&nbsp;Wen Qi,&nbsp;Mingchuan Zhou,&nbsp;Yue Chen","doi":"10.1049/ccs2.12031","DOIUrl":"10.1049/ccs2.12031","url":null,"abstract":"&lt;p&gt;This is the Special Issue ‘Integrating Sensor Fusion and Perception for Human–Robot Interaction’ of &lt;i&gt;IET Cognitive Computation and System&lt;/i&gt; that introduces the latest advances in sensor fusion and perception in the human–robot interaction (HRI) field.&lt;/p&gt;&lt;p&gt;In recent years, as intelligent systems have developed, HRI has attracted increasing research interest. In many areas, including factories, rehabilitation robots and operating rooms, HRI technology can be exploited to enhance safety by using intelligence for human operations. However, both available practical robotic systems and some ongoing investigations lack intelligence due to their limited capabilities in perceiving their environment. Nowadays, the HRI method usually focusses on a single sensing system without integrating algorithms and hardware, such as tactile perception and computer vision. Sensor fusion and perception with artificial intelligence (AI) techniques have been successful in environment perception and activity recognition by fusing information from a multi-modal sensing system and selecting the most appropriate information to perceive the activity or environment. Consequently, combining the technique of multi-sensor fusion and perception for HRI is an exciting and promising topic.&lt;/p&gt;&lt;p&gt;This Special Issue aims to track the latest advances and newly appeared technology in the integrated sensor fusion and perception for HRI. After careful peer reviews and revision, four representative papers were accepted for publication in this Special Issue. These papers represent four important application areas of multi-sensor fusion and perception technology and can be assigned into four topics. The related summary of every topic is given below. We strongly recommend reading the entire paper if interested. They will bring some new ideas and inspire the mind.&lt;/p&gt;&lt;p&gt;In the paper ‘Deep learning techniques-based perfection of multi-sensor fusion oriented human-robot interaction system for identification of dense organisms’, Li et al. present an HRI system based on deep learning and sensors' fusion to study the species and density of dense organisms in the deep-sea hydrothermal vent. In this paper, several deep learning models based on convolutional neural network (CNN) are improved and compared to study the species and density of dense organisms in deep-sea hydrothermal vent, which are fused with related environmental information provided by position sensors and conductivity–temperature–depth (CTD) sensors, so as to perfect the multi-sensor fusion-oriented HRI system. First, the authors combined different meta-architectures and different feature extractors and obtained five object identification algorithms based on CNN. Then, they compared the computational cost of feature extractors and weighed the pros and cons of each algorithm from mean detection speed, correlation coefficient and mean class-specific confidence score to confirm that Faster Region-based CNN (R-CNN)_InceptionNet is ","PeriodicalId":33652,"journal":{"name":"Cognitive Computation and Systems","volume":"3 3","pages":"183-186"},"PeriodicalIF":0.0,"publicationDate":"2021-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/ccs2.12031","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126113569","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Complex systems and ‘‘Spatio -Temporal Anti-Compliance Coordination’’ In cyber-physical networks: A critique of the Hipster Effect, bankruptcy prediction and alternative risk premia 网络物理网络中的复杂系统和“时空反合规协调”:对潮人效应、破产预测和替代风险溢价的批判
Cognitive Computation and Systems Pub Date : 2021-08-28 DOI: 10.1049/ccs2.12029
Michael I. C. Nwogugu
{"title":"Complex systems and ‘‘Spatio -Temporal Anti-Compliance Coordination’’ In cyber-physical networks: A critique of the Hipster Effect, bankruptcy prediction and alternative risk premia","authors":"Michael I. C. Nwogugu","doi":"10.1049/ccs2.12029","DOIUrl":"10.1049/ccs2.12029","url":null,"abstract":"<p>The <i>Hipster Effect</i> is a group of evolutionary ‘‘<i>Diffusive Learning</i>’’ processes of networks of individuals and groups (and their communication devices) that form <i>Cyber-Physical Systems</i>; and the <i>Hipster Effect</i> theory has potential applications in many fields of research. This study addresses decision-making parameters in machine-learning algorithms, and more specifically, critiques the explanations for the <i>Hipster Effect</i>, and discusses the implications for portfolio management and corporate bankruptcy prediction (two areas where AI has been used extensively). The methodological approach in this study is entirely theoretical analysis. The main findings are as follows: (i) the <i>Hipster Effect</i> theory and associated mathematical models are flawed; (ii) some decision-making and learning models in machine-learning algorithms are flawed; (iii) but regardless of whether or not the <i>Hipster Effect</i> theory is correct, it can be used to develop portfolio management models, some of which are summarised herein; (iv) the [1] corporate bankruptcy prediction model can also be used for portfolio-selection (stocks and bonds).</p>","PeriodicalId":33652,"journal":{"name":"Cognitive Computation and Systems","volume":"3 3","pages":"253-262"},"PeriodicalIF":0.0,"publicationDate":"2021-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/ccs2.12029","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121550565","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Minimum error entropy criterion-based randomised autoencoder 基于最小误差熵准则的随机自编码器
Cognitive Computation and Systems Pub Date : 2021-08-02 DOI: 10.1049/ccs2.12030
Rongzhi Ma, Tianlei Wang, Jiuwen Cao, Fang Dong
{"title":"Minimum error entropy criterion-based randomised autoencoder","authors":"Rongzhi Ma,&nbsp;Tianlei Wang,&nbsp;Jiuwen Cao,&nbsp;Fang Dong","doi":"10.1049/ccs2.12030","DOIUrl":"10.1049/ccs2.12030","url":null,"abstract":"<p>The extreme learning machine-based autoencoder (ELM-AE) has attracted a lot of attention due to its fast learning speed and promising representation capability. However, the existing ELM-AE algorithms only reconstruct the original input and generally ignore the probability distribution of the data. The minimum error entropy (MEE), as an optimal criterion considering the distribution statistics of the data, is robust in handling non-linear systems and non-Gaussian noises. The MEE is equivalent to the minimisation of the Kullback–Leibaler divergence. Inspired by these advantages, a novel randomised AE is proposed by adopting the MEE criterion as the loss function in the ELM-AE (in short, the MEE-RAE) in this study. Instead of solving the output weight by the Moore–Penrose generalised inverse, the optimal output weight is obtained by the fixed-point iteration method. Further, a quantised MEE (QMEE) is applied to reduce the computational complexity of. Simulations have shown that the QMEE-RAE not only achieves superior generalisation performance but is also more robust to non-Gaussian noises than the ELM-AE.</p>","PeriodicalId":33652,"journal":{"name":"Cognitive Computation and Systems","volume":"3 4","pages":"332-341"},"PeriodicalIF":0.0,"publicationDate":"2021-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/ccs2.12030","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127446354","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Improved fault diagnosis algorithm based on artificial immune network model and neighbourhood rough set theory 基于人工免疫网络模型和邻域粗糙集理论的改进故障诊断算法
Cognitive Computation and Systems Pub Date : 2021-07-01 DOI: 10.1049/ccs2.12026
Yonghuang Zheng, Benhong Li, Shangmin Zhang
{"title":"Improved fault diagnosis algorithm based on artificial immune network model and neighbourhood rough set theory","authors":"Yonghuang Zheng,&nbsp;Benhong Li,&nbsp;Shangmin Zhang","doi":"10.1049/ccs2.12026","DOIUrl":"10.1049/ccs2.12026","url":null,"abstract":"<p>With the aim to identify new fault diagnosis and advanced robotic systems, this paper first proposes a fault diagnosis algorithm based on an artificial immune network model that can adjust the pruning threshold. Secondly, the algorithm is improved based on neighbourhood rough set theory, in which the relationships among the pruning threshold, misdiagnosis rate, and missed diagnosis rate in the shape space are discussed. In addition, an improved algorithm for adjusting the adaptively pruning threshold based solely on an observation index is described. The simulation experiments show that the algorithm can identify the new fault modes while keeping the misdiagnosis and missed diagnosis rates low.</p>","PeriodicalId":33652,"journal":{"name":"Cognitive Computation and Systems","volume":"3 4","pages":"323-331"},"PeriodicalIF":0.0,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/ccs2.12026","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117136549","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Machine morality, moral progress, and the looming environmental disaster 机器道德,道德进步,以及迫在眉睫的环境灾难
Cognitive Computation and Systems Pub Date : 2021-06-10 DOI: 10.1049/ccs2.12027
Ben Kenward, Thomas Sinclair
{"title":"Machine morality, moral progress, and the looming environmental disaster","authors":"Ben Kenward,&nbsp;Thomas Sinclair","doi":"10.1049/ccs2.12027","DOIUrl":"10.1049/ccs2.12027","url":null,"abstract":"<p>The creation of artificial moral systems requires making difficult choices about which of varying human value sets should be instantiated. The industry-standard approach is to seek and encode moral consensus. Here the authors' argue, based on evidence from empirical psychology, that encoding current moral consensus risks reinforcing current norms, and thus inhibiting moral progress. However, so do efforts to encode progressive norms. Machine ethics is thus caught between a rock and a hard place. The problem is particularly acute when progress beyond prevailing moral norms is particularly urgent, as is currently the case due to the inadequacy of prevailing moral norms in the face of the climate and ecological crisis.</p>","PeriodicalId":33652,"journal":{"name":"Cognitive Computation and Systems","volume":"3 2","pages":"83-90"},"PeriodicalIF":0.0,"publicationDate":"2021-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/ccs2.12027","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126659587","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
Computing morality: Synthetic ethical decision making and behaviour 计算道德:综合伦理决策和行为
Cognitive Computation and Systems Pub Date : 2021-06-10 DOI: 10.1049/ccs2.12028
Nigel Crook, Selin Nugent, Matthias Rolf, Adam Baimel, Rebecca Raper
{"title":"Computing morality: Synthetic ethical decision making and behaviour","authors":"Nigel Crook,&nbsp;Selin Nugent,&nbsp;Matthias Rolf,&nbsp;Adam Baimel,&nbsp;Rebecca Raper","doi":"10.1049/ccs2.12028","DOIUrl":"10.1049/ccs2.12028","url":null,"abstract":"<p>We find ourselves at a unique point of time in history. Following over two millennia of debate amongst some of the greatest minds that ever existed about the nature of morality, the philosophy of ethics and the attributes of moral agency, and after all that time still not having reached consensus, we are coming to a point where artificial intelligence (AI) technology is enabling the creation of machines that will possess a convincing degree of moral competence. The existence of these machines will undoubtedly have an impact on this age old debate, but we believe that they will have a greater impact on society at large, as AI technology deepens its integration into the social fabric of our world. The purpose of this special issue on Computing Morality is to bring together different perspectives on this technology and its impact on society. The special issue contains four very different and inspiring contributions.</p>","PeriodicalId":33652,"journal":{"name":"Cognitive Computation and Systems","volume":"3 2","pages":"79-82"},"PeriodicalIF":0.0,"publicationDate":"2021-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/ccs2.12028","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127176333","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Review of the techniques used in motor-cognitive human-robot skill transfer 运动-认知人机技能转移技术综述
Cognitive Computation and Systems Pub Date : 2021-05-30 DOI: 10.1049/ccs2.12025
Yuan Guan, Ning Wang, Chenguang Yang
{"title":"Review of the techniques used in motor-cognitive human-robot skill transfer","authors":"Yuan Guan,&nbsp;Ning Wang,&nbsp;Chenguang Yang","doi":"10.1049/ccs2.12025","DOIUrl":"10.1049/ccs2.12025","url":null,"abstract":"<p>A conventional robot programming method extensively limits the reusability of skills in the developmental aspect. Engineers programme a robot in a targeted manner for the realisation of predefined skills. The low reusability of general-purpose robot skills is mainly reflected in inability in novel and complex scenarios. Skill transfer aims to transfer human skills to general-purpose manipulators or mobile robots to replicate human-like behaviours. Skill transfer methods that are commonly used at present, such as learning from demonstrated (LfD) or imitation learning, endow the robot with the expert's low-level motor and high-level decision-making ability, so that skills can be reproduced and generalised according to perceived context. The improvement of robot cognition usually relates to an improvement in the autonomous high-level decision-making ability. Based on the idea of establishing a generic or specialised robot skill library, robots are expected to autonomously reason about the needs for using skills and plan compound movements according to sensory input. In recent years, in this area, many successful studies have demonstrated their effectiveness. Herein, a detailed review is provided on the transferring techniques of skills, applications, advancements, and limitations, especially in the LfD. Future research directions are also suggested.</p>","PeriodicalId":33652,"journal":{"name":"Cognitive Computation and Systems","volume":"3 3","pages":"229-252"},"PeriodicalIF":0.0,"publicationDate":"2021-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/ccs2.12025","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117215494","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
The Anatomy of moral agency: A theological and neuroscience inspired model of virtue ethics 道德能动性的解剖:一个神学和神经科学启发的美德伦理模型
Cognitive Computation and Systems Pub Date : 2021-05-30 DOI: 10.1049/ccs2.12024
Nigel Crook, Joseph Corneli
{"title":"The Anatomy of moral agency: A theological and neuroscience inspired model of virtue ethics","authors":"Nigel Crook,&nbsp;Joseph Corneli","doi":"10.1049/ccs2.12024","DOIUrl":"10.1049/ccs2.12024","url":null,"abstract":"<p>VirtuosA (‘virtuous algorithm’) is introduced, a model in which artificial intelligence (AI) systems learn ethical behaviour based on a framework adapted from Christian philosopher Dallas Willard and brought together with associated neurobiological structures and broader systems thinking. To make the inquiry concrete, the authors present a simple example scenario that illustrates how a robot might acquire behaviour akin to the virtue of kindness that can be attributed to humans. References to philosophical work by Peter Sloterdijk help contextualise Willard’s virtue ethics framework. The VirtuosA architecture can be implemented using state-of-the-art computing practices and plausibly redescribes several concrete scenarios implemented from the computing literature and exhibits broad coverage relative to other work in ethical AI. Strategies are described for using the model for systems evaluation —particularly the role of ‘embedded evaluation’ within the system—and its broader application as a meta-ethical device is discussed.</p>","PeriodicalId":33652,"journal":{"name":"Cognitive Computation and Systems","volume":"3 2","pages":"109-122"},"PeriodicalIF":0.0,"publicationDate":"2021-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/ccs2.12024","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121286558","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Exploring conventional enhancement and separation methods for multi-speech enhancement in indoor environments 探索室内环境下多语音增强的常规增强和分离方法
Cognitive Computation and Systems Pub Date : 2021-05-30 DOI: 10.1049/ccs2.12023
Yangjie Wei, Ke Zhang, Dan Wu, Zhongqi Hu
{"title":"Exploring conventional enhancement and separation methods for multi-speech enhancement in indoor environments","authors":"Yangjie Wei,&nbsp;Ke Zhang,&nbsp;Dan Wu,&nbsp;Zhongqi Hu","doi":"10.1049/ccs2.12023","DOIUrl":"10.1049/ccs2.12023","url":null,"abstract":"<p>Speech enhancement is an important preprocessing step in a wide diversity of practical fields related to speech signals, and many signal-processing methods have already been proposed for speech enhancement. However, the lack of a comprehensive and quantitative evaluation of enhancement performance for multi-speech makes it difficult to choose an appropriate enhancement method for a multi-speech application. This work aims to study the implementation of several enhancement methods for multi-speech enhancement in indoor environments of T60 = 0 s and T60 = 0.3 s. Two types of enhancement approaches are proposed and compared. The first type is the basic enhancement methods, including delay-and-sum beamforming (DSB), minimum variance distortionless response (MVDR), linearly constrained minimum variance (LCMV), and independent component analysis (ICA). The second type is the robust enhancement methods, including improved MVDR and LCMV realized by eigendecomposition and diagonal loading. In addition, online enhancement performance based on the iteration of single-frame speech signals is researched, as is the comprehensive performance of various enhancement methods. The experimental results show that the enhancement effects of LCMV and ICA are relatively more stable in the case of basic enhancement methods; in the case of the improved enhancement algorithms, methods that employ diagonal loading iterations show better performance. In terms of online enhancement, DSB with frequency masking (FM) yields the best performance on the signal-to-interference ratio (SIR) and can suppress interference. The comprehensive performance test showed that LCMV and ICA yielded the best effects when there was no reverberation, while DSB with FM yielded the best SIR value when reverberation was present.</p>","PeriodicalId":33652,"journal":{"name":"Cognitive Computation and Systems","volume":"3 4","pages":"307-322"},"PeriodicalIF":0.0,"publicationDate":"2021-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/ccs2.12023","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132352157","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
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