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DFT-Based OFDMA System with Phase Modulation for Broadband Communication
Farouk Abduh Kamil Al-Fuhaidy,
Faisal Saif Alkamali,
Khaled Abdullah Al-Soufy
Issue:
Volume 3, Issue 1, June 2019
Pages:
1-9
Received:
10 April 2019
Accepted:
20 May 2019
Published:
13 June 2019
Abstract: This paper proposes, a DFT-based OFDMA with phase modulation (DFT-OFDMA-PM) system. One main advantage of the phase modulated system is the constant envelope (CE) resulted signal, i.e, 0 dB PAPR, the second advantage is the ability to improve the diversity of multipath channels. These advantages have been exploited in the proposed system of this paper. The performance of the proposed system in terms of the bit error rate (BER) is studied and investigated and compared to the previously proposed DCT-OFDMA-PM system and the conventional OFDMA system without PM via computer simulation. The key parameter that affects the performance of the PM systems, the modulation index, is also studied and the optimum value is selected using exhaustive simulation scenarios. Moreover, the PAPR is also simulated for the proposed system and compared to the conventional system. Simulation results show the significant improvement of the proposed system in terms of PAPR and BER when compared to the conventional system. The simulation results for the proposed system show the effectiveness of the proposed system for wireless broadband communications.
Abstract: This paper proposes, a DFT-based OFDMA with phase modulation (DFT-OFDMA-PM) system. One main advantage of the phase modulated system is the constant envelope (CE) resulted signal, i.e, 0 dB PAPR, the second advantage is the ability to improve the diversity of multipath channels. These advantages have been exploited in the proposed system of this pa...
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The Essence of Simulation and Artificial Intelligence
Issue:
Volume 3, Issue 1, June 2019
Pages:
10-19
Received:
26 December 2018
Accepted:
2 April 2019
Published:
18 June 2019
Abstract: In response to the controversy over whether machines can think and the queries on artificial intelligence (AI), this paper clarifies that the essence of simulation and AI (i.e. simulation intelligence) should be pursuing assimilation (similartaxis) as well as keeping dissimilation to a prototype (natural intelligence). Both commonness and obvious otherness (individuality) must exist between them. This is a ‘Both/And’ thinking mode and not a simplified exclusive ‘Either/Or’ thinking. Based on four definitions and five hypotheses, some corollaries are educed logically to clarify the relation between machine intelligence and human mind and to answer the queries on AI. This paper points out that the ‘Either/Or’ thinking, such as ‘either true intelligence or false’ or ‘either whole mind or nothing’, resulted in some cognitive mistakes on AI and the mysticism had most deleterious consequences among the research of AI and cognitive science.
Abstract: In response to the controversy over whether machines can think and the queries on artificial intelligence (AI), this paper clarifies that the essence of simulation and AI (i.e. simulation intelligence) should be pursuing assimilation (similartaxis) as well as keeping dissimilation to a prototype (natural intelligence). Both commonness and obvious o...
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Examining the Properties of Neem Oil, Sunflower Oil and Mahua Oil with Antioxidants and Nano Powders for Power Transformer
Uma Devi Sankarasubbu,
Senthil Kumar Suburaj
Issue:
Volume 3, Issue 1, June 2019
Pages:
20-29
Received:
6 April 2019
Accepted:
14 May 2019
Published:
20 June 2019
Abstract: In the newfangled world, electrical energy is the most important thing, and we cannot live without it. The recent research has predominated that petroleum by-products are available only for a few hundred years. This paper is especially clear to meet out that. After some years, the mineral oil in the transformer needs to be changed due to its degradation of insulation. The mineral oil used in the transformer acts as insulation as well as cooling purpose. The used mineral oil can be recycled by adding some additives for reuse purpose. In this paper, the oil chosen is neem oil, sunflower oil and mahua oil and it is treated with antioxidants and nano powders. “Breakdown voltage, flash point, fire point, acidity, and viscosity are measured in consonance with standards”. To reduce the oxidation stability natural and synthetic antioxidants are preferred, and Nano powders are also used for improving the properties of the oil. Synthetic antioxidants such as Beta Carotene and TBHQ and selenium are preferred as natural antioxidants. Selenium is used. Before and after the addition of antioxidants and nano powders the measurements were done. By doing this analysis, the transformer oil is used for reuse purpose and it has a longer lifetime. After antioxidants and Nano powders are added, the property of the transformer oil is increased.
Abstract: In the newfangled world, electrical energy is the most important thing, and we cannot live without it. The recent research has predominated that petroleum by-products are available only for a few hundred years. This paper is especially clear to meet out that. After some years, the mineral oil in the transformer needs to be changed due to its degrad...
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Fault Location in the Transmission Network Using a Discrete Wavelet Transform
Majid Dashtdar,
Masoud Dashtdar
Issue:
Volume 3, Issue 1, June 2019
Pages:
30-37
Received:
19 March 2019
Accepted:
17 April 2019
Published:
25 June 2019
Abstract: In this paper, a discrete wavelet transform (DWT) has been utilized for processing the current signal in order to fault-location evaluation in network transmission using pre-fault and post-fault current data of both the terminals of a transmission line. In fact, the basis of the work is based on the information recorded before the fault at the end of the line and after the fault at the beginning of the line received by the relay. Obviously, high-frequency components are created at the time of the fault, which is a way of extracting these components using a wavelet transform. In this design, characteristics extorted from synchronous recording of three-phase current signals at the two terminals using DWT. In the following, can accurately estimate the exact location of the fault in the transmission network by extraction and subtracting of the minimum and maximum components of the DWT approximate and detail components of the signal before and after the fault (pre-fault and post-fault).The simulation results reveal that the minimum and maximum extracted components are highly dependent on the fault resistance. Hence, due to increase the fault resistance, the level of signal decomposition has to be increased so that the algorithm is not compromised. Eventually, the proposed method is tested on the transmission network of 735 kV at different distances of the transmission line, which indicates that the proposed algorithm can accurately estimate the fault distance, depending on the type of fault (including low-impedance and high-impedance fault) by changing the signal decomposition level.
Abstract: In this paper, a discrete wavelet transform (DWT) has been utilized for processing the current signal in order to fault-location evaluation in network transmission using pre-fault and post-fault current data of both the terminals of a transmission line. In fact, the basis of the work is based on the information recorded before the fault at the end ...
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An Efficient Fault Detection of FPGA and Memory Using Built-in Self Test [BIST]
Issue:
Volume 3, Issue 1, June 2019
Pages:
38-45
Received:
29 November 2018
Accepted:
5 January 2019
Published:
2 July 2019
Abstract: In this paper, a new technique for localization of fault detection and diagnosis in the interconnects and logic blocks of an arbitrary design implemented on a Field-Programmable Gate Array (FPGA) using BIST is presented. This technique can uniquely identify any single bridging, open or stuck-at fault in the interconnect as well as any single functional fault, a fault resulting a change in the truth table of a function, in the logic blocks. The test pattern generator and output response analyzer are configured by existing CLBs in FPGAs; thus, no extra area overhead is needed for the proposed BIST structure. The scheme also rests on partitioning of rows and columns of the memory array by employing low cost test logic. It is designed to meet requirements of at-speed test thus enabling detection of timing defects. Experimental results confirm high diagnostic accuracy of the proposed scheme and its time efficiency.
Abstract: In this paper, a new technique for localization of fault detection and diagnosis in the interconnects and logic blocks of an arbitrary design implemented on a Field-Programmable Gate Array (FPGA) using BIST is presented. This technique can uniquely identify any single bridging, open or stuck-at fault in the interconnect as well as any single functi...
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Tuning Pi Controller Bases on Chemical Reaction Optimization Algorithm
Cuong Nguyen Cong,
Nghia Nguyen Anh,
Chuong Trinh Trong,
Nghien Nguyen Ba
Issue:
Volume 3, Issue 1, June 2019
Pages:
46-52
Received:
27 May 2019
Accepted:
20 June 2019
Published:
8 July 2019
Abstract: This paper we present Chemical Reaction Optimization (CRO) algorithm for determining optimal parameters of PI controller. The model of doubly fed induction generator (DFIG) is used as a plant in this paper. Tuning PI controller using traditional method such as Ziegler-Nichols (ZN) method usually produces large overshoot and Integral time absolute error, integral absolute error and integral square error performance indices. Therefore, recently researchers have applied random search approach such as genetic algorithm (GA) and particle swarm optimization (PSO) and Grey Wolf Optimizer (GWO) to find optimal parameters for PI controller. Among modern heuristics algorithm, CRO was introduced in 2010, it combines features of both GA and Simulated Annealing (SA) to find global minimum in search space. CRO has been applied to solve successfully many optimization problems such as: Minimum transportation cost, resource-constrained project scheduling problem, channel assignment problem in wireless mesh networks, standard continuous benchmark functions, and so on. In this paper we present to apply CRO algorithm to search optimal parameters for PI controller. The comparison between tuning PI controller by CRO and traditional Ziegler-Nichols method is presented. The simulation results show the advantages of PI tuning using CRO compared to traditional method in terms of performance index and setting time.
Abstract: This paper we present Chemical Reaction Optimization (CRO) algorithm for determining optimal parameters of PI controller. The model of doubly fed induction generator (DFIG) is used as a plant in this paper. Tuning PI controller using traditional method such as Ziegler-Nichols (ZN) method usually produces large overshoot and Integral time absolute e...
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