Search Results - (( sensing communication based algorithm ) OR ( java application optimization algorithm ))
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Optimization of blood vessel detection in retina images using multithreading and native code for portable devices
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Performance evaluation of real-time multiprocessor scheduling algorithms
Published 2016“…These results suggests that optimal algorithms may turn to be non-optimal when practically implemented, unlike USG which reveals far less scheduling overhead and hence could be practically implemented in real-world applications. …”
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Route Optimization System
Published 2005“…After much research into the many algorithms available, and considering some, including Genetic Algorithm (GA), the author selected Dijkstra's Algorithm (DA). …”
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Final Year Project -
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A reinforcement learning-based energy-efficient spectrum-aware clustering algorithm for cognitive radio wireless sensor network
Published 2016“…Thirdly, a RL based cooperative channel sensing scheme where a clusterhead learns channels dynamic behaviours in terms of channel availability, channel sensing energy cost and channel impairment to achieve optimal sensing sequence and optimal set of channels. …”
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Attribute reduction based scheduling algorithm with enhanced hybrid genetic algorithm and particle swarm optimization for optimal device selection
Published 2022“…Enhance hybrid genetic algorithm and particle Swarm optimization are developed to select the optimal device in either fog or cloud. …”
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Article -
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Cyclostationarity-based spectrum sensing for analog TV and wireless microphone signals
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Genetic fuzzy scheduler for spectrum sensing in cognitive radio networks
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Energy-aware cluster based cooperative spectrum sensing for cognitive radio sensor networks
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System design for urban vehicle two-way connection monitoring system / Muhammad Haiqal Amiruddin
Published 2015“…Meanwhile the communication module will communicate between the sensing module and the action module based on two approaches: SMS protocol and TCP/IP protocol. …”
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Thesis -
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Speech enhancement in non-stationary noise using compressive sensing
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Proceeding Paper -
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Ant colony optimization algorithm for load balancing in grid computing
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Monograph -
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Cooperative spectrum sensing based on machine learning in cognitive radio vehicular network / Mohammad Asif Hossain
Published 2022“…A fuzzy-based Naive Bayes algorithm has been used in this case. …”
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Thesis -
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CYCLOSTATIONARY FEATURES BASED LOW COMPLEXITY MUTLIRESOLUTION SPECTRUM SENSING FOR COGNITVE RADIO APPLICATIONS
Published 2011“…In this thesis, we suggest a cyclostationary features based low complexity multi-resolution spectrum sensing for cognitive radio applications. …”
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Embedded Ethernet System For Real-Time Communication
Published 2018“…There is two type of real-time communication such as soft RTC and hard RTC. A common Ethernet network functions based on the carrier sense multiple access with collision detection (CSMA/CD) as the media access control (MAC) protocol for data transmission between shared medium. …”
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Monograph -
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Efficient and secured compression and steganography technique in wireless sensor network
Published 2016“…Second, an improved steganographic algorithm based on the infamous Least Significant Bit (LSB) is proposed for hiding the sensed data scheduled for transmission. …”
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Thesis -
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SVD-based signal detector for cognitive radio networks
Published 2011“…This paper examines the implementation of the Singular Value Decomposition (SVD) method to detect the presence of wireless signal.The method is used to find the maximum and minimum eigenvalues.We simulated the algorithm using common digital signal in wireless communication namely rectangular pulse shape, raised cosine and root-raised cosine to test the performance of the signal detector.The SVD-based signal detector was found to be more efficient in sensing signal without knowing the properties of the transmitted signal.The execution time is acceptable compared to the favorable energy detection.The computational complexity of SVD-based detector is medium compared to the energy detector.The algorithm is suitable for blind spectrum sensing where the properties of the signal to be detected are unknown. …”
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