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248 days remaining to submit papers to MechaniTek 2022 in Irbid, Jordan
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Paper Review Claims
# Paper ID Title Abstract Congress Claim
1 63.Cnf-1174 Improving Characteristics of Compensated Sharpened CIC Decimation Filters This paper presents a novel method to improve aliasing rejection and decrease complexity in the compensated sharpened cascaded-integrated-comb (CIC) decimation filters, considering that the overal decimation factor can be presented as a product of two integers. Two-stage decimation structure is proposed. In the first stage is a CIC filter decimated by the first decimation factor, while in the second stage is the sharpened CIC filter decimated by the second decimation factor. The complexity is expressed in terms of the numbers of adders per output samples (APOS). There is a trade-off between the increasing the aliasing rejection and the complexity decreasing, in the proposed structure. The compensator is designed using particle swarm optimization (PSO) and works at low rate i.e. after decimation.The sharpening polynomials are used from literature. The method is ilustrated with examples. The comparisons with the state of the art show the advantages of the proposed method. GC-ElecEng 2021 Claim
2 63.Cnf-1171 A New Window Function for FIR Filter Design Based on Distinct Windows in this paper, a new proposed window function for Finite Impulse Response (FIR) filter design has been presented. The window function is generated and has been utilized to compare with various types of window functions. In this paper, the frequency response, Multiplication of different window functions and sin function is compared with Hamming, Hanning, and Blackman. The design procedure done in MATLAB software. After we bringing most of popular window functions to compare its results with the proposed window, it is concluded that the submitted window is the best window, because its frequency response, magnitude, and phase response is better than another window. GC-ElecEng 2021 Claim
3 38.Cnf-1173 UHF Radio Extender System for Ship to Shore Communications using 3D SBR for Positioning Radio Service Coverage Area of UHF Repeater systems is one of the most important performance’s elements for ship to shore radio communications within industries around the world. Each implemented system is designed to fulfil their specific demands, which in this case is balancing coverage limitations and transmission power restrictions due petrochemical industry regulations. This paper presents an innovative Analogue UHF Repeater Extender System array design using commercial Radio Repeaters to overcome lack radio communications on a real world outdoor to indoor and outdoor to outdoor scenarios for cargo operations. The System’s performance analysis is also characterized by a 3D Shoot and Bounce Ray Tracing Propagation Model combining efforts of field strength distribution, time of arrival and propagation-channel environment. The work is focused on the extender’s field measurements and the results comparison to a Wireless InSite 3D SBR simulation model. GC-ElecEng 2021 Claim
4 43.Cnf-1177 Bycicle Sharing System Using an IoT Network The objective of this work is to design a bicycle sharing system, which encourages its use by rewarding good behaviors and respecting traffic rules (signed intersections, traffic lights), with a discount on rental costs. For this, bicycles will have different sensors, which through Internet of Things (IoT) devices will transmit the data of the route during the journey such as position, speed, as well as road safety data, through a Low-Power Wide-Area Network (LPWAN). These data can be used to manage the rental system which will let us know the number of running bicycles, as well as where they are parked. Hence, it will be possible to optimize the management of the service, for example, by checking where bicycles are needed and where they amass. We simulate the air interface by the platform \"The Things Network\" and IoT Mbed simulator, as well as the communication between end device and application server via The Things Network (TTN) network. The results show an improvement in the mobility in cities through the implementation of technology, and subsequently to enable reducing carbon monoxide emissions. GC-ElecEng 2021 Claim
5 43.Cnf-1178 Performance Evaluation of Blockchain Consensus Algorithms for Electronic Health Record Sharing In any blockchain network, a consensus algorithm is considered a major factor in determining the performance of the network. This study aims to investigate consensus algorithms in healthcare blockchains for electronic health record (EHR) sharing by analyzing the scalability performance of these algorithms. Several consensus algorithms have been proposed in the literature and have been used for various types of blockchain networks. Herein, we analyze the performance of proof of work, practical Byzantine fault tolerance, and proof of authority (PoA) algorithms in the healthcare domain and propose an improved real-time PoA consensus algorithm for EHR sharing for faster consensus and block generation. Results of performed simulations show that the proposed algorithm outperforms the previous consensus algorithms in terms of consensus time, number of blocks generated, network throughput, and scalability. GC-ElecEng 2021 Claim
6 63.Cnf-1179 Speech Noise Reduction with Wavelet Transform Domain Adaptive Filters Adaptive filters are one of the most promising solutions to several signal enhancement problems in a non-stationary environment. However, depending on the characteristics of the signals and noise, the processing complexity and convergence speed for adaptive filters vary. Therefore, it is often preferred to apply adaptive filters in the transform domain to reduce complexity and increase convergence speed. In this paper, the application of the LMS (Least Mean Square) algorithm, which is the most preferred algorithm of adaptive filters in the field of speech noise cancellation, in the wavelet transform domain was studied. For this purpose, improving speech signals with different Signal to Noise Ratio (SNR) using Wavelet Transform Domain LMS (WTD-LMS) algorithm in the proposed method was applied. The results obtained were evaluated with measures that are frequently used in speech enhancement applications. It is observed that the success of the proposed method outperforms adaptive and traditional methods for two sensor measurements are available. GC-ElecEng 2021 Claim
7 43.Cnf-1170 Optic Flow-based Vision System for Autonomous and Collision-free Navigation of Micro Aerial Vehicles In this work, a monocular camera-based obstacle avoidance system was designed to improve autonomous operation of quadcopters in dynamic environments, already hindered by sensors’ heavyweight and processing and energy requirements. The work underwent two stages. First, the system dynamics were modeled, linearized, and controlled using PD controllers. Then, an optic flow-based hybrid obstacle avoidance algorithm was developed. The algorithm consisted of three approaches that account for avoiding frontal and peripheral objects, while aiming to the final position. The developed system was tested in a challenging scenario that mimics a real forest using Webots simulator. Results demonstrated an 85% success rate of avoiding obstacles. Cases of system failure resulted due to the linearization constraint which blocked ad hoc aggressive behaviour. GC-ElecEng 2021 Claim