Motor pattern recognition paradigms are the main forms of Brain-computer Interfaces(BCI) aimed at motor function rehabilitation and are the most easily promoted applications. In recent years, many researchers have sug...
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ISBN:
(数字)9798350386226
ISBN:
(纸本)9798350386233
Motor pattern recognition paradigms are the main forms of Brain-computer Interfaces(BCI) aimed at motor function rehabilitation and are the most easily promoted applications. In recent years, many researchers have suggested encouraging patients to perform real motor control execution simultaneously in MI-based BCI rehabilitation training systems. Electromyography (EMG) signals are the most direct physiological signals that can assess the execution of movements. Multimodal signal fusion is practically significant for decoding motor patterns. Therefore, we introduce a multimodal motion pattern recognition algorithm for EEG and EMG signals: EEG-EMG FAConformer, a method with several attention modules correlated with temporal and frequency information for motor pattern recognition. We especially devise a frequency band attention module to encode EEG information accurately and efficiently. What’s more, modules like Multi-Scale Fusion Module, Independent ChannelSpecific Convolution Module(ICSCM), and Fuse Module which can effectively eliminate irrelevant information in EEG and EMG signals and fully exploit hidden dynamics are developed and show great effects. Extensive experiments show that EEGEMG FAConformer surpasses existing methods on Jeong2020 dataset, showcasing outstanding performance, high robustness and impressive stability.
This work proposes the use of Parallel Objects using the model of High Level Parallel Compositions (HLPC) to implement a proposal for parallel simulation of the N-body Problem using the communication pattern between p...
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This paper proposes the model of the High Level Parallel Compositions or CPANS (Acronym in Spanish) to communication patterns/interaction Pipeline and Binary Tree for implementing a sorting algorithm by Structured Par...
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ISBN:
(纸本)9788897999683
This paper proposes the model of the High Level Parallel Compositions or CPANS (Acronym in Spanish) to communication patterns/interaction Pipeline and Binary Tree for implementing a sorting algorithm by Structured Parallel Programming approach based on the concept of Parallel Objects. The CPANS Pipeline and TreeDV are displayed using the paradigm of object orientation and sorting problem is solved using two different algorithms;it is using a pipeline process to sort a dataset in disordered (CPAN Pipe) and one that by quick sort uses a binary tree for the ordering of the same dataset disordered by divide and conquer technique (CPAN TreeDVQS). Each proposal of CPAN contains a predefined set of restrictions of synchronization between processes (maximum parallelism, mutual exclusion and synchronization of producer-consumer type), and the use of synchronous, asynchronous and asynchronous future communication modes. Sorting algorithms, their design and implementation as CPANs and comparative performance metrics on a parallel machine 64 processors are shown.
Sensors in a Wireless Sensor Network (WSN) are prone to failure, due to energy depletion, hardware failures, etc. Fault tolerance is one of the critical issues in WSNs. The existing fault tolerant mechanisms either co...
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Sensors in a Wireless Sensor Network (WSN) are prone to failure, due to energy depletion, hardware failures, etc. Fault tolerance is one of the critical issues in WSNs. The existing fault tolerant mechanisms either consume significant extra energy to detect and recover from the failures or need to use additional hardware and software resource. In this paper, we propose a novel energy-aware fault tolerance mechanism for WSN, called Informer Homed Routing (IHR). In our IHR, the non cluster head nodes limit and select the target of their data transmission. Therefore, it consumes less energy. Our experiments show that our proposed protocol can dramatically reduce energy consumption, compared to two existing protocols, LEACH and DHR.
Wireless mesh networks are widely considered as a vision for the future of wireless mobile networks. In this paper, we present a deeply protected hybrid key exchange model in wireless mesh networks named DPHKE. The mo...
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Wireless mesh networks are widely considered as a vision for the future of wireless mobile networks. In this paper, we present a deeply protected hybrid key exchange model in wireless mesh networks named DPHKE. The model uses signcryption and encryption to deeply protect the shared-key's secret material and uses keyed one-way hash function to realize key source authentication. Based on the model, we perform implementations using discrete logarithm based signcryption and elliptic curve based signcryption and show that our model can lower the computational cost and the communication overhead by at least 12.5% and 33.3%, respectively, compared to DKEUTS, SAKE and EC-SAKE.
The Internet of Vehicles (IoV) necessitates efficient resource management to meet the growing demands for high data rates, low latency, and real-time communication in Intelligent Transportation Systems (ITS). This pap...
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ISBN:
(数字)9798331520861
ISBN:
(纸本)9798331520878
The Internet of Vehicles (IoV) necessitates efficient resource management to meet the growing demands for high data rates, low latency, and real-time communication in Intelligent Transportation Systems (ITS). This paper presents a novel multiagent reinforcement learning framework based on the Proximal Policy Optimization (PPO) algorithm for optimizing resource allocation in clusters of cells within IoV networks. The framework dynamically allocates transmission power and bandwidth across base stations, each acting as a collaborative agent. Extensive simulations demonstrate that the multi-agent PPO approach outperforms other reinforcement learning algorithms, including Soft Actor-Critic (SAC) and Advantage Actor-Critic (A2C), regarding throughput, power efficiency, dynamic bandwidth allocation, and overall network performance.
Since regular expressions (abbrev. regexes) are difficult to understand and compose, automatically generating regexes has been an important research problem. This paper introduces TRANSREGEX, for automatically constru...
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The rapid growth of Internet-of-things (IoT) software applications has driven both practitioners and researchers' attention to methodological approaches for secure IoT development. Security issues for IoT is speci...
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This book constitutes the joint refereed proceedings of the 11th International Conference on Artificial Intelligence and Symbolic Computation, AISC 2012, 19th Symposium on the Integration of Symbolic Computation and M...
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ISBN:
(数字)9783642313745
ISBN:
(纸本)9783642313738
This book constitutes the joint refereed proceedings of the 11th International Conference on Artificial Intelligence and Symbolic Computation, AISC 2012, 19th Symposium on the Integration of Symbolic Computation and Mechanized Reasoning, Calculemus 2012, 5th International Workshop on Digital Mathematics Libraries, DML 2012, 11th International Conference on Mathematical Knowledge Management, MKM 2012, Systems and Projects, held in Bremen, Germany as CICM 2012, the Conferences on Intelligent computer Mathematics. The 13 revised full papers out of 19 submissions for MKM 2012, 6 revised full papers out of 9 submissions for Calculemus 2012, 6 revised full papers out of 8 submissions for AISC 2012, 2 revised full papers out of 3 submissions for DML 2012, and 11 revised full papers out of 12 submissions for Systems and Project track presented were carefully reviewed and selected, resulting in 38 papers from a total of 52 submissions.
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