A Quarter-Circled Multi-Resonator for UWB Re-transmission Based Chipless RFIDMohamed, G. B. W.; Hossain, A. K. M. Z.; Aziz, M. Z. A. B. A.; Azam, S. M. K.
doi: 10.1088/1742-6596/2550/1/012026pmid: N/A
This paper introduces the design and analyses of a new planar parallel microstrip quarter-circled multi-resonator (PQMR) for the chipless radio frequency identification (CRFID) that works in ultra-wide band (UWB) frequency region. The proposed PQMR has identifying (IDing) and potential sensing capabilities to work as a tag-sensor. The PQMR works within 3.30 GHz – 6.53 GHz with a high -10dB quality-factor (Q10dB) of 692, a good spatial density of as low as 7.05 mm2/bit, very good spectral density of 7.33 bits/GHz and a coding capacity of 17 bit with one-bit sensing ability. Different combinations of coding bit streams are also extracted to show the identification ability of the proposed design. This will motivate the CRFID designers to design small and high-capacity tag- sensors for UWB applications.
A Numerical Study of Collective Cell Migration in a Microchannel Driven by Surface Acoustic Wave (SAW) DeviceMazalan, Mazlee Bin; Noor, Anas Mohd; Wahab, Yufridin; Johari, Shazlina; Zakaria, Mohd Rosydi; Zaman, Wan Safwani Wan Kamarul
doi: 10.1088/1742-6596/2550/1/012022pmid: N/A
Collective cell migration is involved in a variety of biological contexts, including tissue morphogenesis, wound healing, and cancer invasion. Many studies have revealed that chemical, mechanical, and electrical stimulation all affect cell migration. Although an acoustic stimulus has been shown to influence cell migration in the past, the underlying mechanism is still unknown. A computational model that accounts for acoustic–structure interaction was constructed in this study to simulate the formation of a surface acoustic wave (SAW) field and the application of the acoustic pressure field on collective cell migration. A group of cells within a microchannel device and two ports of interdigitated transducers (IDTs) with different wavelengths were modeled. The stresses within cells were investigated as it was influenced by substrate displacement and pressure acoustic in the cell media generated by the SAW device. As a result, we observed the local stress within cells near the solid-fluid interfaces. For propagating SAW, the shorter wavelength of IDTs (600 μm) attributed to high stress at the cell’s top and bottom as compared to the SAW device with the longer wavelength (1000 μm). The standing SAW occurred underneath collective cells. The results of standing SAW on cell stress at the bottom confirm that the SAW device can be useful to regulate the abnormalities cellular activities associated with cell migration.
Performances of Multi-Configuration Piezoelectric Connection with AC-DC Converter in Low Frequency Energy Harvesting SystemAbidin, Nik Ahmad Kamil Zainal; Nayan, Norkharziana Mohd; Azizan, M M; Jamel, Nursabirah; Ali, Azuwa; Azli, N. A.; Nordin, N. M.
doi: 10.1088/1742-6596/2550/1/012001pmid: N/A
Harvesting energy by capturing vibration from low frequency energy have been explored extensively. In essence, a single piezoelectric transducer or an array of piezoelectric connections are used to convert kinetic energy into electrical energy in order to produce low frequency energy. In this paper, multi-configuration array piezoelectric connections are used to investigate the performances of different converter circuit types in low energy harvesting applications. This research utilized three pieces of circular piezoelectric sensor to test the combinations of array connection. There are four options for the piezoelectric sensor configuration: parallel (P), series (S), parallel-series (PS), and series-parallel (SP) while the full wave bridge rectifier (FWBR), parallel voltage multiplier (PVM), and parallel Synchronized Switch Harvesting on Inductor (P-SSHI) converter circuit are chosen AC-DC converter circuits. The system is assessed using a variety of load configurations, including 10 kΩ and 1 MΩ with a 3 Hz input frequency. In order to produce the highest possible output of collected power, the observation focuses on identifying the ideal combination of array piezoelectric connections with AC-DC converter. The result shows that 3-Parallel (3P) piezoelectric connection obtained a higher power output among the other types of array piezoelectric which was 5.97μW. The FWBR circuit generated the highest output power with 2.42μW for a combination of piezoelectric sensors array of 3P connection with the AC-DC converter.
Neural Network based Transmission Line Fault Classifier and Locator using Sequence ValuesIdris, Muhd Hafizi; Adzman, Mohd Rafi
doi: 10.1088/1742-6596/2550/1/012010pmid: N/A
Faults can easily occur at transmission line because the line is exposed to the environment. The fast fault location after a fault occurrence will minimize the time to repair the faulty part thus reduce the stress of power system due to long outage time. This paper demonstrates the development of fault classifier and fault locator using neural network. The positive, negative and zero sequence values of three-phase voltage and current during fault time were used as the inputs to train the neural networks. Various fault conditions which have different fault types, fault resistance values and fault locations have been simulated to generate the training data for both neural network based fault classifier and fault locator. From the results, the fault classifier and locator successfully classified and located all the simulated fault conditions. One of the advantages of using sequence values as the inputs for the neural networks is only one fault type need to be simulated and used as the training data for single line-to-ground fault (RG, YG and BG), line-to-line fault (RY, YB, BR) and double line-to-ground fault (RYG, YBG, BRG).
Dual Outputs Switch Mode Power Supply (DOSMPS) Utilizing Forward Converter TopologyFauzi, F; Udom, U; Zaidi, M E; Manaf, N A A
doi: 10.1088/1742-6596/2550/1/012024pmid: N/A
Experimental works of dual, 5 volt DC outputs switch mode power supply (DOSMPS) is presented in this paper. To design, construct and evaluate the DOSMPS using forward converter topology are the objectives of this article. In this work, a 556 timer was picked as the pulse width modulator. The 556 timer was picked because it is widely used, cheap and capable of producing stable dual pulse width modulations. Since, this work targeted dual DC outputs, two forward converter circuits were built. However, switching frequencies at two transistors were controlled by only one 556 timer. The complete circuit of the DOSMPS consist of full bridge rectifier, smoothing capacitor, two high frequency transformers and two forward converter circuits. At the first stage of this work, the DOSMPS circuit was designed using Proteus software. Later, the complete DOSMPS circuit was constructed on two breadbroads after all of the electronic components and devices were available. Important parameters such as the input and output voltages and duty cycles were measured using digital oscilloscope and multimeter. Results from these measurements have shown that the designed circuit can convert single-phase 24 Vrms 50 Hz AC voltage input into dual and stable 5±0.1 V DC outputs. Also from this work, it was observed that, pulsed DC voltages with peak value of 2 V and frequency less than 20 kHz are sufficient in controlling the switching frequencies of both BJT transistors. This allows the regulation of the output voltage within the desired range. Analysis carried out after the measurements has shown close correlation between the theoretical and experimental results, where the calculated and measured switching frequencies had only deviated by 1.1%.
Hybrid Cooling System for Solar Photovoltaic PanelAzmi, M.S.F.M.; Hussain, M.H.; Rahim, S.R.A.; Mid, E.C.; Shaari, A.S.; Hashim, N.; Husny, N.; Ahmad, M.F.
doi: 10.1088/1742-6596/2550/1/012004pmid: N/A
Solar photovoltaic (PV) panel is one of the renewable sources of energy and produced daily nowadays. Solar panel systems have efficiency influenced by different factors, such as ambient temperature, solar panel temperature, sunlight, weather, and irradiation. The increasing of the temperature of the solar PV panel decreases its efficiency and lifetime. Thus, to maintain and decrease the temperature of the PV cell, cooling system is required. This paper presents the hybrid (water and air) cooling system method for solar PV panel. The method has been designed and developed to lower and stable the operating temperature of the system considering different weather conditions. The results revealed that the hybrid cooling system has shown improvement of output power solar PV panel as compared with water cooling system only. Furthermore, the proposed method managed to improve efficiency approximately to 4.5%.
DSP based Hardware-in-the-Loop (HIL) Simulation for GCPV-based DSTATCOM using Frequency Domain ControllerSobri, N F A; Baharudin, N H; Mansur, T M N T; Syahril, M; Ali, R; Ananda-Rao, K; Suboh, S M; Abdullah, A M
doi: 10.1088/1742-6596/2550/1/012020pmid: N/A
This study presents a comprehensive simulation of digital control applications for a grid-connected photovoltaic (GCPV) system using a Hardware-in-the-Loop (HIL) simulation approach that incorporates a Digital Signal Processor (DSP). The simulation is carried out using the MATLAB Simulink block set and employs a frequency domain controller as the control algorithm. The simulation inputs, which consist of voltage and current sensor readings, are processed by an ADC idealizer block that produces output based on a real-time DSP-based HIL system. The output is then utilized to generate a pulse width modulation (PWM) signal, which drives the voltage source inverter (VSI). The simulation’s primary objective is to demonstrate the simplicity and efficacy of the proposed frequency domain controller design for the GCPV-based DSTATCOM system. The simulation results validate the performance of the controller under various operating conditions, including steady-state, unbalanced loads, variable solar insolation, and day-to-night transitions.
Effect of Surface Roughness on Sensitivity of Unclad Fiber-Optic SensorsHashim, Azrad Mohamad; Salim, Mohd Rashidi; Qazi, Hummad Habib; Noor, Muhammad Yusof Mohd; Azmi, Asrul Izam; Ibrahim, Mohd Haniff; Manap, Hadi
doi: 10.1088/1742-6596/2550/1/012018pmid: N/A
This work presents the effect of surface roughness‘s effect on transmission characteristics and the sensitivity of unclad fiber optic sensor (FOS). A total of three samples with different surface roughness were fabricated using the chemical etching technique using different chemical solutions which are 49% hydrofluoric acid (HF), 5:1 Buffered Oxide Etchants (BOE), and 7:1 BOE to analyze the spectrum behavior and the performance of these samples. All samples were fabricated by immersing the 4 cm of sensing zone inside the chemical solution according to the etching rate of that solution. Every sample fabricated will be measured using five different concentrations of glucose which were 5g, 10g, 15g, 20g, and 25g as an experiment medium. From the measurement, the results obtained will be analyzed and the graphs were plotted. The power loss for all solutions were analyzed and the least recorded power loss is 32.49 dB exhibited by FOS fabricated in the 49% HF solution while the best sensitivity in terms of power loss is FOS fabricated in the 5:1 BOE solution with the highest sensitivity of 9.526 dB/g at 5g of glucose concentration.
Feature extraction and classification of epileptic seizures from combined EEG and ECG signalsZougagh, Lahcen; Bouyghf, Hamid; Nahid, Mohammed; Ouacha, Brahim
doi: 10.1088/1742-6596/2550/1/012028pmid: N/A
Research has been conducted to support an automatic diagnosis system that will relieve clinicians of their weary work by detecting epileptic seizures. In this paper, we suggest a novel method to automatically identify epilepsy crises based on electroencephalogram (EEG) and electrocardiogram (ECG) signals. The work to detect epileptic seizures from EEG and ECG signals is carried out in three stages. In the first stage, simultaneous EEG and ECG recordings captured from 24 channels are segmented into 10-second periods (where 23 are the EEG signals and one is the ECG signal). In the second stage, the extraction of the parameters of each channel from the time domain and, finally, the classification of the EEG and ECG signals into epileptic seizure and normal have been done using ANN. Experiment analysis shows that using the ECG signal as extra information has a high capacity for classification.
Prefacedoi: 10.1088/1742-6596/2550/1/011001pmid: N/A
On behalf of the organizing committee, we would like to welcome all participants to the Fourth International Conference on Emerging Electrical Energy, Electronics & Computing Technologies 2022 (ICE4CT 2022) here in Kedah, Malaysia from 28 - 29, December 2022. ICE4CT 2022 is our fourth conference, jointly conducted by Faculty of Electrical Engineering & Technology, Universiti Malaysia Perlis (UNIMAP), Nandha Engineering College, Erode, Tamil Nadu, India and Centre of Excellence for Renewable Energy (CERE), UniMAP. The fourth edition was conducted in hybrid mode. The physical sessions including inaugural ceremony, keynote address and technical paper presentation sessions were conducted on 28, December 2022 and online technical paper presentation sessions and closing ceremony were conducted on 29, December 2022 in Google Meet online meeting platform.ICE4CT 2022 is an important event that brings academics and researchers from around the world to share our professional experiences, expand our professional networks and receive updates on the latest advances in the field of Electrical Engineering & Computer sciences. The keynote speeches are among the events not be missed by all participants. A prominent and vast experienced speaker Prof Dr. Dylan Dah Chuan Lu, University of Technology Sydney, Australia shared knowledge as well as his latest research ideas and findings in his field.Also, ICE4CT 2022 would have not been successful conference without the submissions of technical papers from researchers who have invested their time & energy writing about variety of topics which includes High Voltage Engineering, Insulation Technology, Power Electronics & Energy Efficient Drives, Computer Vision & Image Analysis, Data Mining & Cloud Computing, Wireless Communications, Medical Informatics, Internet of Things (IoT) applications & many more. As such, we would like to thank all the authors for supporting ICE4CT 2022 and wish you a fruitful discussion.Finally, ICE4CT 2022 would not be possible without the dedicated work and efforts of the organizing committee and its cadre of volunteers who worked tirelessly to develop and strengthen every aspect of the conference. We wish to express our gratitude for your hard work and commitment towards making ICE4CT 2022 a grand success.List of Committee is available in this pdf.