 Subjects -> ELECTRONICS (Total: 207 journals)
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- Energy Management and Optimization of PV/Diesel/Battery Hybrid Power
Systems for Remote Consumers
Authors: Nonthanan Phonphan, Pracha Khamphakdi , Bongkoj Sookananta
Pages: 251458 - 251458
Abstract: This paper evaluates the efficiency of a photovoltaic-diesel-battery hybrid off-grid system over one year using a particle swarm optimization technique (PSO) to develop an optimal energy dispatch model. The model achieves cost savings and improved system efficiency and can accurately estimate consumer fuel costs. The study shows that the hybrid system is more cost-effective and efficient than a diesel-only system, highlighting the importance of considering daily and seasonal variations in demand. The optimization model developed can be further developed to optimize various components of the hybrid system. Overall, the study emphasizes the importance of considering variations in demand and suggests that the use of an optimization model can lead to more efficient energy delivery systems, particularly in the context of PV-diesel-battery hybrid systems.
PubDate: 2023-10-28
DOI: 10.37936/ecti-eec.2023213.251458
Issue No: Vol. 21, No. 3 (2023)
- The Controller Design of Quasi-Z-Source Inverter for PV-Rooftop System
using Fuzzy controller
Authors: Patumporn Wongyai, Jakkrit Pakdeeto, Koson Chaicharoenaudomrung, Kongpol Areerak, Kongpan Areerak
Pages: 251459 - 251459
Abstract: This paper presents the controller design for PV rooftop system. This system can operate both standalone and grid connection modes. The quasi-Z-source inverter is chosen to convert the electrical power from direct current to alternating current. Both conventional PI and proposed fuzzy controllers are designed for the considered system operating in both standalone and grid connection modes. The simulation results by using the SimPowerSystem® in MATLAB and the hardware-in-loop simulation were used to confirm the effectiveness of the proposed controller. The results can confirm that the proposed fuzzy controller can provide the better performance compared with the conventional PI controller.
PubDate: 2023-10-28
DOI: 10.37936/ecti-eec.2023213.251459
Issue No: Vol. 21, No. 3 (2023)
- eHealth Internet of Things on Low Power Wide Area Network of Hospital
Authors: Wiraphon Manatarinat, Panjai Tantatsanawong, Suvit Poomrittigul, Sakol Udomsiri
Pages: 251460 - 251460
Abstract: Nowadays, the number of older adults is increasing due to medical advancements and attention to the health of the elderly. Effective healthcare and safety are essential. Therefore, the researcher has an idea to develop a system that can support the care of patients and the elderly safely by detecting falls. However, there are limitations in the contact with the public health system and other technical issues such as high power consumption, cost, and reliability. In this article, we would like to introduce a fictional wearable fall detection system. Algorithms based on threshold are specifically integrated with the Internet of Things (IoT) and a Low-Power Wide Area Network (LPWAN), with nodes monitoring and parsing the data. The server part consists of an application server and a UDP server. The application server is responsible for accessing the data. At the same time, the UDP server is responsible for receiving data and monitoring abnormal data packets sent by the Narrowband Internet of Things (NB-IoT) to develop an efficient and secure data transmission mechanism. For healthcare professionals, eHealth is designed from the server side, which comprises a server application and a client-server architecture. The eHealth system is a digital technology tool and ICT service that connects healthcare providers and citizens to access health services effectively, comprehensively, equitably, and safely for elderly patients and healthcare providers
for algorithm validation. We recruit volunteers for events. Daily life and falls the experimental results showed that our presented algorithm could achieve accuracy, indicating the efficiency of our system.
PubDate: 2023-10-28
DOI: 10.37936/ecti-eec.2023213.251460
Issue No: Vol. 21, No. 3 (2023)
- A Linear Support Vector Machine Based Detector for Bit-Patterned Magnetic
Recording
Authors: Anawin Khametong, Santi Koonkarnkhai, Piya Kovintavewat, Chanon Warisarn
Pages: 251461 - 251461
Abstract: The demand for high-capacity storage devices for storing digital information is continuously increasing because of the rapid growth in the number of social media users. Alternative magnetic recording technologies, such as bit-patterned magnetic recording (BPMR), have been proposed in parallel with the current perpendicular magnetic recording technology. However, to increase the areal density in BPMR, we unavoidably encounter the problems of two-dimensional (2D) interference and track mis-registration (TMR). Consequently, to solve these problems, we first present the modified soft-information adjuster (SIA) to mitigate the 2D interference and improve the log-likelihood ratios (LLRs) that were initially produced from the conventional detectors. Then, we propose a linear support vector machine (LSVM)-based detector that works with the modified SIA so as to enhance the reliability of LLRs, which can in turn provide better estimated user bits. Simulation results reveal that the proposed system can yield better bit-error rate performance and is more robust to the TMR effect than the conventional system without the LSVM-baseddetector.
PubDate: 2023-10-28
DOI: 10.37936/ecti-eec.2023213.251461
Issue No: Vol. 21, No. 3 (2023)
- Performance Evaluation and Improvement of Wireless RSSI Based Animal Theft
Detection
Authors: Thipchinda Prasayasith, Poompat Saengudomlert, Waleed S. Mohammed
Pages: 251462 - 251462
Abstract: The use of wireless RSSIs to detect animal theft in an outdoor environment is evaluated. Using simulation experiments, three multilateration techniques for localization are looked at and compared in terms of how accurate they are at detecting things. The last technique is proposed because it requires less computing power. More specifically, the first two techniques are based on setting up an overdetermined set of linear equations with three and two location-related variables, respectively. The proposed technique is the two-variable method simplified when anchor nodes are arranged as a rectangular grid. The investigation of anchor node locations for multilateration is next considered. Finally, a limited motion condition is proposed to reduce the effects of noise in RSSI values on the detection accuracies. Numerical results indicate a trade-off between detection performance improvement and time delay in alarm generation.
PubDate: 2023-10-28
DOI: 10.37936/ecti-eec.2023213.251462
Issue No: Vol. 21, No. 3 (2023)
- Automatic Alcohol Hand Sanitizer Dispensers With & Without
Microcontroller
Authors: Wirote Jongchanachavawat, Bureerak Sungkongmueng, Ittipat Roopkom, Noppon Mingmuang, Chaleedol Inyasri, Nishapat Thanaittipat, Vorrathep Chinowan, Chayabha Khiaokhli, Chantana Piatuapoo
Pages: 251463 - 251463
Abstract: Hygiene for humans is necessary to maintain human health to keep the body clean and be free from germs without spreading the disease to various places, especially during this time with the spread of COVID-19 with increasing numbers continuing to evolve species to be able to reproduce and survive. For this reason, this research article therefore designed and invented an automatic liquid alcohol dispenser with and without a microcontroller, which would assist in preventing germs from spreading from the hands of people in that community by not having to touch any part of this device while using it. An Automatic Alcohol Hand Sanitizer Dispenser with a Microcontroller (AAHSDWM) has advantages for adjusting the amount of alcohol liquid by coding and speeds up installation faster than in the first stage. An Automatic Alcohol Hand Sanitizer Dispenser without Microcontroller (AAHSDWoM) has advantages such as cost savings of up to 30%, ease of configuration and maintenance, higher overall average user satisfaction scores, and ease of mobility due to the use of rechargeable batteries. In addition, AAHSDWoM is suitable to make a low-cost product for commercial use. These devices would then dispense liquid alcohol to the users’ palms. Test results show that the unit is 100% efficient, providing up to 1,000 alcohol dispensing services.
PubDate: 2023-10-28
DOI: 10.37936/ecti-eec.2023213.251463
Issue No: Vol. 21, No. 3 (2023)
- Waveguide and FSS Inspired Waveguides Array: A Comprehensive Review
Authors: Avinash Chandra
Pages: 251464 - 251464
Abstract: This paper presents a detailed survey of waveguides and the most recent research efforts on SRR inspired waveguides. These are basically classified into various categories, such as arrays based on slot waveguides, open-ended waveguides, split ring resonators (SRR) based waveguides, and planar structure-embedded waveguides. Some practical difficulties or limitations for the development of these arrays have been illustrated, and their possible solutions are also suggested. A detailed review of different types of waveguide arrays has been included for researchers understanding.
PubDate: 2023-10-28
DOI: 10.37936/ecti-eec.2023213.251464
Issue No: Vol. 21, No. 3 (2023)
- Exploiting Intelligent Reflecting Surface for Wireless Power Transfer via
Optimization and Deep Learning Approaches
Authors: Pham Viet Tuan, Vinh Anh Nghiem Quan, Pham Ngoc Son, Sang Quang Nguyen, Pham Viet Hung
Pages: 251465 - 251465
Abstract: In this paper, the wireless power transfer system with intelligent reflecting surface (IRS) assistance is studied to maximize the total harvested power at multiple users. The near optimal IRS phase shifts are obtained by two methods of successive convex approximation (SCA) and deep learning techniques. In the optimization method (IRS-OPT), we combine SCA technique with semidefinite relaxation to find the suboptimal solution with high harvested power performance. In the deep learning method (IRS-DL), the deep neutral network is proposed to learn the harvested power maximization via channel information. The numerical evaluations show that the IRS-OPT achieves the higher result while the IRS-DL provides the solution with almost real-time computation.
PubDate: 2023-10-28
DOI: 10.37936/ecti-eec.2023213.251465
Issue No: Vol. 21, No. 3 (2023)
- Multi-level Optical On-Off Line Code for Flat-like Power Spectral Density:
Outdoor Visible Light Communications
Authors: Samuel Nlend, Theo G. Swart
Pages: 251466 - 251466
Abstract: This paper suggests a multi-level optical line code using an On-Off technique that enhances the performance of optical communication systems with flat-like power spectral density (PSD) such as outdoor visible light communications. The proposed technique based on a controlled multilevel coding and a multistage decoding of ð‘€ = 2ð‘™ modulation signals, consists of designing the code using a balance distance rule that maximizes the minimum Euclidean distance and minimizes the number of nearest neighbours, with the aim to achieve a better system capacity and error protection. Through a controlled correlative level technique by an optical orthogonal code (OOC) time sequence, each obtained symbol is assigned an elementary signal within the same symbol duration using the conventional Miller coding. The constraints of an OOC sequence add a coding complexity that is dealt with using a synchronized error technique, where the error is recovered through an adapted time diversity decoding technique during the multi-stage decoding (MSD). The resulting M asymmetric signals are differentiated by l time transition levels and ð‘€ = 2ð‘™ 1-dimension space distances to produce M-ary On-Off Keying (OOK) signals. These signals are transmitted in accordance with the correlation properties of the OOC sequence, hence OOK OOC. An analytical investigation conducted on an 8 OOK OOC, compared with an amplitude shift keying (8-ASK) of the classical Ungerboeck (UG) and the unequal error protection (UEP) methods, has shown an improved level of signal-to-noise ratio (SNR), and consequently a better possible data rate.
PubDate: 2023-10-28
DOI: 10.37936/ecti-eec.2023213.251466
Issue No: Vol. 21, No. 3 (2023)
- Multiple Access Interference Bit Error Rate Evaluation Technique for
Direct Detection FFH-OCDMA Bragg Gratings Based Channels
Authors: Samuel Nlend, Theo G. Swart
Pages: 251467 - 251467
Abstract: This paper proposes a more realistic optical code division multiple access (OCDMA) sequence bit error rate (BER) evaluation technique for multiple access interference (MAI) during transmission over optical fiber. The technique provides a filter for all possible non-zero correlations events that may occur during transmission, leaning on all positive time-frequency intervals for a 2-D OCDMA, or all positive time intervals for 1-D OCDMA. As a wavelength hopping/time sequence (WH/TS) suggests, this MAI evaluation on a 2-D OCDMA consists of one-coincidence frequency hopping code optical orthogonal code (OCFHC-OOC) Bragg gratings encoded signals. For a better assessment of the time- intervals, we also investigate the 1-D OCDMA OOC since the OOC is the time spreading component of the OCFHC- OOC sequence. In both cases, the signals of interest are transmitted using simple On-Off keying with non-return- to-zero signalling and direct detection at the receiver. The received signal contains multiple access interference from other users’ coincidence correlations and the in- band random correlations from the photodiode due to square detection. The MAI mean and variance are analysed over all possible non-zero wavelength-time interval pairs of sequences and the standard Gaussian approximation is used to evaluate the bit error rate. Further, the resulting bit error rate is then compared with that of the user coincidence-based evaluation technique.
PubDate: 2023-10-28
DOI: 10.37936/ecti-eec.2023213.251467
Issue No: Vol. 21, No. 3 (2023)
- Coordinated Control of PSS with Type-2 Fuzzy Lead Lag SSSC Damping
Controller Design Using Modified Local Signal
Authors: Asit Kumar Patra , Sangram Keshori Mohapatra
Pages: 251468 - 251468
Abstract: The Sine Cosine adapted improved WOA(SCiWOA) based design coordinated control of Type-2 fuzzy logic control (T2FLC) power system stabilizer (PSS) with modified local signal (MLS) input to Type-2 FLC lead-lag-based Static synchronous Series Compensator (SSSC) controller considered for transient stability improvement. Initially, the SCiWOA optimized coordinated control of MLS input to a lead lag-based SSSC controller with PSS was compared with the Whale Optimization Algorithm (WOA) and particle swarm optimization (PSO) based coordinated control of the same controller with the structure of the SMIB power system. It is seen from the demonstration that improvements in the ITAE error with the proposed SCiWOA tuned compared to WOA and PSO are 29.83% and 33.91%, respectively. The different input signals to PSS and SSSC coordinated control were verified to check the effectiveness and robustness of the analysis of the transient stability of the power system. The next part of the analysis attempted to coordinate the control of T2FLC based PSS with a T2 FLC controller with a remote input signal (Δðœ”) based PSS with a lead-lag SSSC damping controller under different loading and fault conditions of the SMIB power system. Lastly, the effectiveness of the proposed coordinated controller demonstrated in three machine power systems shows that the proposed T2FLC based PSS with MLS input-based T2FLC in the SSSC damping controller has superior transient performance as compared with PSS with MLS input to the SSSC controller and PSS with MLS input to the SSSC controller under three different contingencies of the power system.
PubDate: 2023-10-28
DOI: 10.37936/ecti-eec.2023213.251468
Issue No: Vol. 21, No. 3 (2023)
- A Systematic Review on Challenges in Massive MIMO Based 5G and Beyond
Wireless Networks and Their Solutions
Authors: Smita Jolania, Ravi Sindal, Ankit Saxena
Pages: 251469 - 251469
Abstract: In the new era of wireless communication networks, ubiquitous connectivity with high quality multimedia services is the key requirements of high data rate transmission. In view of this, fifth generation (5G) wireless systems has been defined to handle new and enormous communication traffics efficiently for massive number of devices. 5G wireless network marks the start of real digital era for the use cases like Ultra-Reliable and Low Latency Communications (URLLC), enhanced Mobile Broadband (eMBB) and massive Machine-Type Communications (mMTC) that support low latency and high data rates for diverse range of connected devices. Currently on-going deployment and testing of 5G wireless systems is revealing its inherent limitations and needs to redefine the challenges faced by it. Massive Multiple Input and Multiple Output (MIMO) technology plays major role in 5G in which large antenna arrays are implemented at the base station. Massive MIMO facilitate spatial multiplexing for enhancing the capacity and spectral efficiency (SE) of the network. This survey is focused on the massive MIMO related issues. Channel Estimation (CE) is one of the important factors influencing the receiver performance. To get perfect CE in spatially correlated channels advanced detectors are to be designed to optimize performance and complexity. Besides CE, due to increased number of antennas, the signal processing for the detection of transmitted signal becomes more complicated. In this review paper, a framework for CE and signal detection techniques in implementation scenario of massive MIMO in 5G networks is presented. Moreover, various techniques and challenges among existing solutions in terms of their respective advantages and limitations are elaborated. This survey emphasizes on solutions suggested by researchers and open research issues in channel estimation and signal detection in
massive MIMO systems for 5G and beyond wireless networks.
PubDate: 2023-10-28
DOI: 10.37936/ecti-eec.2023213.251469
Issue No: Vol. 21, No. 3 (2023)
- Instrumental Receiver Bias Estimation for Ionospheric Total Electron
Content by Neural Network Model
Authors: Phyo C Thu, Pornchai Supnithi, Jirapoom Budtho, Apitep Saekow, Thanomsak Sopon, Kornyanat Hozumi, Lin Min Min Myint
Pages: 251470 - 251470
Abstract: Total Electron Content (TEC) is one of the most important parameters in the study of the ionosphere, especially for determining ionospheric disturbances. The TEC levels are typically estimated from dual-frequency GPS observation data. Since the measured TEC contains discrepancies such as satellite and receiver biases, they need to be removed to obtain more accurate TEC values. In this work, we estimate the receiver bias using a neural network technique. Based on the exhaustive evaluation, we design a neural network (NN) model with two-hidden layers, and it is trained with datasets from three GNSS observation stations in Thailand. The prediction from the proposed neural network deviates from the baseline reference using the minimum standard deviation method with significantly faster computational time. The trained NN model is also tested for estimating the receiver bias values at other untrained stations in Thailand.
PubDate: 2023-10-28
DOI: 10.37936/ecti-eec.2023213.251470
Issue No: Vol. 21, No. 3 (2023)
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