Search Results - (( java application rsa algorithm ) OR ( based interactive sensor algorithm ))
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RSA Encryption & Decryption using JAVA
Published 2006“…References and theories to support the research of 'RSA Encryption/Decryption using Java' have been disclosed in Literature Review section. …”
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Final Year Project -
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An improved RSA cryptosystem based on thread and CRT / Saheed Yakub Kayode and Gbolagade Kazeem Alagbe
Published 2017“…Java programming language is used to implement the algorithm. …”
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Secure Image Steganography Using Encryption Algorithm
Published 2016“…A system based on the proposed algorithm will be implemented using Java and it will be more secured due to double-layer of security mechanisms which are RSA and Diffie-Hellman.…”
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Conference or Workshop Item -
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Data-Glove-Based Hand Gesture Recognition System Using Flex Sensors And An Imu Sensor
Published 2017“…This system recognizes the hand gestures based on the information captured by the flex sensors and an IMU sensor. …”
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Monograph -
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Digitally signed electronic certificate for workshop / Azinuddin Baharum
Published 2017“…Digital Signature was encrypted by RSA Algorithm, a very powerful asymmetrical encryption. …”
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Thesis -
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Whale optimization algorithm strategies for higher interaction strength t-way testing
Published 2022“…Due to resource restrictions and the combinatorial explosion challenge, little work has been done to produce high-order interaction strength. In this context, the Whale Optimization Algorithm (WOA) is proposed to generate high-order interaction strength. …”
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Optical tactile sensor for robotic assisted surface characterization / Amir Abd Latif
Published 2016“…A new mathematical modelling and computer algorithm is developed and calibrated which are based on image processing methods. …”
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Thesis -
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Study of hand gesture recognition using impulse radio ultra wideband (IRUWB) radar sensor
Published 2023“…The developed algorithms interpret raw IR-UWB radar sensor data and associate it with specific hand gestures, addressing the core objective of gesture recognition. …”
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Thesis -
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Improved static and dynamic FBG sensor system for real-time monitoring of composite structures
Published 2017“…Thus, the designation of this research study is to improve the current FBG based real-time monitoring system with the use of certain functions and algorithms, that are the instant mesh-grid function, voltage normalization algorithm, CC-LSL algorithm, and FFT function. …”
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Multi-array sensorised pillowcase as call detection alarm system for in ward tetraplegic patient / Normazlianita Mohamad Alias
Published 2021“…In this study, we utilized off-the-shelf materials to form: i) a fabric-based multiarray pressure sensor system, ii) an acquisition circuit along with interface and signal processing algorithms to acquire and interpret the sensor data. …”
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Design and development of an interactive humanoid robotic head with vision sensor, speech recognition and speaking abilities
Published 2024text::Final Year Project -
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Facial expression recognition using stretchable sensor and multilayer feedforward backpropagation neural network
Published 2025“…This shows that further improvement is needed to improve the stretchable sensor-based facial expression recognition system.…”
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Energy efficient cluster head distribution in wireless sensor networks
Published 2013“…The main objective of this research is to improve the cluster based wireless sensor networks lifetime by selecting appropriate cluster head (CH) via improved swarm intelligence. …”
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Thesis -
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Visual-based semantic simultaneous localization and mapping for Robotic applications: a review
Published 2019“…This is due to the visual sensors’ capability to provide information of the scene whereas they are low-priced, smaller and lighter than other sensors. …”
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Braille display systems for blind people with haptic belt
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An efficient trust-based decision-making approach for WSNs: Machine learning oriented approach
Published 2023“…Machine Learning (ML) has been shown to be an effective tool for trust evaluation in WSNs, offering several benefits over existing schemes such as greater adaptability, scalability, and accuracy since ML algorithms can analyze and learn from the data collected in real-time from multiple sources (sensor readings, network traffic, and user behavior) enabling them to dynamically adjust their decision-making criteria based on the current network conditions. …”
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