Indonesian Journal of Electrical Engineering and Informatics (IJEEI)
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A Review of Physical Human Activity Recognition Chain Using Sensors
Get PDFIn the era of Internet of Medical Things (IoMT), healthcare monitoring has gained a vital role nowadays. Moreover, improving lifestyle, encouraging healthy behaviours, and decreasing the chronic diseases are urgently required. However, tracking and monitoring critical cases/conditions of elderly and patients is a great challenge. Healthcare services for those people are crucial in order to achieve high safety consideration. Physical human activity recognition using wearable devices is used to monitor and recognize human activities for elderly and patient. The main aim of this review study is to highlight the human activity recognition chain, which includes, sensing technologies, preprocessing and segmentation, feature extractions methods, and classification techniques. Challenges and future trends are also highlighted.
Artificial Intelligent Tuning PI Controller on Wind Turbine System with Three-Phase Grid Connected System
Get PDFIn order to generate the electricity from the wind turbine system with a permanent magnet synchronous generator (PMSG) to the three-phase grid connected system, it is very challenging because the electricity generated from wind energy resource is inconstancy. In this paper, the electrical power between the two systems are regulated by PI controller. For tuning the gains of PI controller, artificial intelligent methods, particle swarm optimization (PSO), gravitational search algorithm (GSA), artificial neural networks (ANN), are applied. The experiments of the control systems are testing at 200 w and 400 w. The experimental results show that the rise time of an electrical power of control system at 200 w tuning gains of the PI controller by ANN combined with PSO is better than the traditional tuning methods, pole placement. Therefore, the proposed intelligent system can not only reduce the overshoot of the active power but also improve the response power
Performance realization of Bridge Model using Ethernet-MAC for NoC based system with FPGA Prototyping
Get PDFThe System on Chip (SoC) integrates the number of processing elements (PE) with different application requirements on a single chip. The SoC uses bus-based interconnection with shared memory access. However, buses are not scalable and limited to particular interface protocol. To overcome these problems, The Network on Chip (NoC) is an emerging interconnect solution with a scalable and reliable solution over SoC. The bridge model is essential to communicate the NoC based system on SoC. In this article, a cost-effective and efficient bridge model with ethernet-MAC is designed and also the placement of the bride with NoC based system is prototyped on Artix-7 FPGA. The Bridge model mainly contains FIFO modules, Serializer and de-serializer, priority-based arbiter with credit counter, packet framer and packet parser with Ethernet-MAC transceiver Module. The bridge with a single router and different sizes of the NoC based systems with mesh topology are designed using adaptive-XY routing. The performance metrics are evaluated for bridge with NoC in terms of average latency and maximum throughput for different Packet Injection Rate (PIR)
A Survey on the Best Choice for Modulus of Residue Code
Get PDFNowadays, the development of technology and the growing need for dense and complex chips have led chip industries to increase their attention on the circuit testability. Also, using the electronic chips in certain industries, such as the space industry, makes the design of fault tolerant circuits a challenging issue. Coding is one of the most suitable methods for error detection and correction. The residue code, as one of the best choices for error detection aims, is wildly used in large arithmetic circuits such as multiplier and also finds a wide range of applications in processors and digital filters. The modulus value in this technique directly effect on the area overhead parameter. A large area overhead is one of the most important disadvantages especially for testing the small circuits. The purpose of this paper is to study and investigate the best choice for residue code check base that is used for simple and small circuits such as a simple ripple carry adder. The performances are evaluated by applying stuck-at-faults and transition-faults by simulators. The efficiency is defined based on fault coverage and normalized area overhead. The results show that the modulus 3 with 95% efficiency provided the best result. Residue code with this modulus for checking a ripple carry adder, in comparison with duplex circuit, 30% improves the efficiency
Interactive Visualization System for Psychological Topology
Get PDFRecently, there is increasing interest in mental support activities, including mental health care, counseling, and mental training in workplaces, schools, and sports teams. As a background to these things, various analysis methods have been developed to clarify and visualize the subject’s mental state based on these data. We tried to reveal and visualize the transition patterns of the subjects’ mental states by analyzing their utterances. Furthermore, we developed an interactive system of visualization of psychological state to support visual understanding of psychological topology. Features have been implemented to enable multidimensional data to visualize the movements shown on the SOM map. In this paper, we describe the system that can interactively visualize psychological states
FOPID Controlled Shunt Active Filter in IEEE Thirty Bus System with Improved Dynamic Time Response
Get PDFThis paper aims on improving the dynamic time response of a Wind Energy Conversion System (WECS) connected to IEEE Thirty Bus System(TBS) using Permanent Magnet Synchronous Generator (PMSG) in closed loop controlled Active Power Filter with FOPID. The simulation results are presented to find the effect of shunt active filter using FOPID controller. Open Loop Thirty Bus System (OLTBS) with change in load is simulated. The simulation results with PI and FOPID Controller based SAF are compared and the corresponding time-domain parameters are presented. The results indicate that FOPID Controller system has better response than PI controlled system
Adaptive Parameter Control Strategy for Ant-Miner Classification Algorithm
Get PDFPruning is the popular framework for preventing the dilemma of overfitting noisy data. This paper presents a new hybrid Ant-Miner classification algorithm and ant colony system (ACS), called ACS-AntMiner. A key aspect of this algorithm is the selection of an appropriate number of terms to be included in the classification rule. ACS-AntMiner introduces a new parameter called importance rate (IR) which is a pre-pruning criterion based on the probability (heuristic and pheromone) amount. This criterion is responsible for adding only the important terms to each rule, thus discarding noisy data. The ACS algorithm is designed to optimize the IR parameter during the learning process of the Ant-Miner algorithm. The performance of the proposed classifier is compared with related ant-mining classifiers, namely, Ant-Miner, CAnt-Miner, TACO-Miner, and Ant-Miner with a hybrid pruner across several datasets. Experimental results show that the proposed classifier significantly outperforms the other ant-mining classifiers
A Fast and Accurate Object Detection Algorithm on Humanoid Marathon Robot
Get PDFThis paper introduces a fast and accurate object detection algorithm based on a convolutional neural network for humanoid marathon robot applications. The algorithm is capable of operating on a low-performance CPU without relying on the GPU or hardware accelerator. A new region proposal algorithm, based on color segmentation, is proposed to extract a region containing a potential object. As a classifier, the convolution neural network is used to predict object classes from the proposed region. In the training phase, the classifier is trained with an Adam optimizer to minimize the loss function, using datasets collected from humanoid marathon competitions and diversified using image augmentation. An NVIDIA GTX 1070 training machine, with 500 batch images per epoch and a learning rate of 0.001, required 12 seconds to minimize the loss value below 0.0374. In the accuracy evaluation, the proposed method successfully recognizes and localizes three classes of marker with a training accuracy of 99.929%, validation accuracy of 99.924%, and test accuracy of 98.821%. As a real-time benchmark, the algorithm achieves 41.13 FPS while running on a robot computer with Intel i3-5010U CPU @ 2.10GHz
Traffic characterization in a communications channel for monitoring and control in real-time systems
Get PDFThe response time for remote monitoring and control in real-time systems is a sensitive issue in device interconnection elements. Therefore, it is necessary to analyze the traffic of the communication system in pre-established time windows. In this paper, a methodology based on computational intelligence is proposed for identifying the availability of a data channel and the variables or characteristics that affect the performance and data transfer, which is made up of four stages: a) integration of a communication system with an acquisition module and a final control structure; b) communication channel characterization by means of traffic variables; and c) relevance analysis from the characterization space using SFFS (sequential forward oating selection); d) Channel congestion classification as Low or High using a classifier based on Naive Bayes algorithm. The experimental setup emulates a real process using an on/off remote control of a DC motor on an Ethernet network. The communication time between the client and server was integrated with the operation and control times, to study the whole response time. This proposed approach allows support decisions about channel availability, to establish predictions about the length of the time window when the availability conditions are unknown
A Critical Analysis of a Wireless Power Transmission (WPT) with an Improvement Method for a Non-Radiative WPT
Get PDFThis paper describes the analysis of the wireless power transmission including recent progresses in non-radiative wireless power transmission (WPT) and the improvement methods. Generally, WPT transmitter side consists of a DC supply voltage source, inverter/power amplifier, transmitter impedance matching device (IMD), source resonator and primary coil. The WPT receiver meanwhile consists of the secondary coil, device resonator, receiver IMD, rectifier and load. In order to achieve an efficient WPT, the WPT transmitter must transmit energy with minimum loss at the receiver side. This setup can be achieved by employing the power amplifier (PA). In this paper, the power amplifier in wireless power transmission for portable devices was designed. A Class E power amplifier was proposed and designed to improve the WPT transmitter side. The effects of zero voltage and zero derivative voltage switching on PA with optimization method was also discussed