Search Results - (( using self sensor algorithm ) OR ( evolution optimization bat algorithm ))
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Multi-Swarm bat algorithm
Published 2023“…In this study a new Bat Algorithm (BA) based on multi-swarm technique called the Multi-Swarm Bat Algorithm (MSBA) is proposed to address the problem of premature convergence phenomenon. …”
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Quality of service and energy efficient aware (QEEA) scheduling algorithm for long term evolution (LTE) network / Nurulanis Mohd Yusoff
Published 2017“…Basically, the QEEA is based on the Time Domain (TD) and Frequency Domain (FD) scheduling where it is dependent on the QoS requirements to allocate resources. The proposed algorithm is compared against other scheduling algorithms, namely, the Channel and QoS Aware (CQA), Priority Set Scheduler (PSS), Proportional Fair (PF), Maximum Throughput (MT) and Blind Average Throughput (BAT). …”
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3
Self-calibration algorithm for a pressure sensor with a real-time approach based on an artificial neural network
Published 2018“…To verify the proposed model’s capability to build a self-calibration algorithm, the model was tested using an untrained input data set. …”
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Real time self-calibration algorithm of pressure sensor for robotic hand glove system
Published 2019“…This study investigates the use of a novel Proposed Self-Calibration Algorithm (PSCA) of multi pressure sensors in real time on robotic hand glove system. …”
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5
Development of self-learning algorithm for autonomous system utilizing reinforcement learning and unsupervised weightless neural network / Yusman Yusof
Published 2019“…In the simulation the robot is equipped with thirteen distance sensing sensors. From the simulation result, by using these sensors information the AUTOWiSARD algorithm can successfully differentiate and classify states without supervision, while the Q-learning algorithm is able to produce and optimized states-actions policy. …”
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A new compression algorithm for small data communication in wireless sensor network
Published 2017“…Two different datasets have been used for this purpose; namely, self-generated dataset and real sensor dataset from Harvard Sensor Library. …”
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Activity recognition using one-versus-all strategy with relief-f and self-adaptive algorithm
Published 2018“…Many researchers dealing with smartphone sensors to recognize human activities using machine learning algorithms. …”
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Energy balancing mechanisms for decentralized routing protocols in wireless sensor networks
Published 2012“…The first scheme is a SensorAnt, which is a self-optimization mechanism for WSN. …”
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A Grid-Based Reliable Routing (GBRR) protocol for wireless sensor networks
Published 2019“…Since the sensors have the characteristics of self-organizing and low cost and the wireless sensor network develops rapidly, more reliable routing algorithms are required to perform better forwarding. …”
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10
Self routing traffic light for traffic light controller using priority method based on volume of vehicles
Published 2015“…Normally, there are two methods used to control the conventional traffic light system which are sequencing and sensor demand methods. …”
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A firefly-inspired scheme for energy-efficient transmission scheduling using a self-organizing method in a wireless sensor network
Published 2016“…The battery lifetime of the Sensor Nodes (SNs) was also extended by using the proposed model.…”
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Iot health monitoring system for self quarantined covid-19 patients
Published 2022“…Then to get the temperature reading we use some algorithm to calculate the temperature reading from sensor. …”
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Undergraduates Project Papers -
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Class binarization with self-adaptive algorithm to improve human activity recognition
Published 2018“…Therefore, feature selection using Relief-f with self-adaptive Differential Evolution (rsaDE) algorithm is proposed to select the most significant features. …”
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14
Energy efficient geographical and power based clustering algorithm for heterogeneous wireless sensor networks
Published 2011“…Moreover, a randomized technique is used to rotate the local cluster-heads base on power label in order to evenly distribute the energy load among the sensors in the network. …”
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Conference or Workshop Item -
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Sensor based line follower self-driving car (sCar) with Obstacles Avoidance
Published 2016“…This paper introduces the sensor based line follower Self-driving Car (sCar) with obstacles avoidance. …”
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A Survey on Distributed Topology Control Techniques for Extending the Lifetime of Battery Powered Wireless Sensor Networks
Published 2013“…Since the concept of “network lifetime” is widely used for assessing the algorithms’ performance, we highlight various definitions of the term and discuss their merits and drawbacks. …”
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Citation Index Journal -
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Vision Based Multi Sensor Feedback System For Robot System With Intelligent
Published 2009“…One of the advantages of this research is that it only uses a low resolution camera and image processing software generated by the algorithms itself without additional sensors such as sonar or IR sensor. …”
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Random traveling wave pulse coupled oscillator (RTWPCO) algorithm of energy-efficient wireless sensor networks
Published 2018“…To avert this problem, this study proposes a new mechanism called random traveling wave pulse-coupled oscillator algorithm, which is a self-organizing technique for energy-efficient wireless sensor networks using the phase-locking traveling wave pulse-coupled oscillator and random method on anti-phase of the pulse-coupled oscillator model. …”
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Grid-based simultaneous localization and mapping using Rao-blackwellized particle filter with neural network for mini robots / Norhidayah Mohamad Yatim
Published 2018“…This research aims to develop such capability known as Simultaneous Localization and Mapping (SLAM) algorithm for mini robots with array of infrared (IR) sensors. …”
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Disposable Biomimetic Array Sensor Strip Coupled With Chemometric Algorithm For Quality Assessment Of Orthosiphon Stamineus Benth Samples
Published 2006“…A disposable screen printed array sensor strip based on self-plasticized methacrylate acrylate PVC blend lipid membranes combined with chemometric algorithm has been developed and applied for qualitative and quantitative analysis of O.stamineus samples. …”
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