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A Schmitt Trigger Based Oscillatory Neural Network for Reservoir Computing
Ting Zhang,
Mohammad Rafiqul Haider
Issue:
Volume 8, Issue 1, February 2020
Pages:
1-9
Received:
15 November 2019
Accepted:
2 December 2019
Published:
4 January 2020
Abstract: With the increase in communication bandwidth and frequency, the development level of communication technology is also constantly developing. The scale of the Internet of Things (IoT) has shifted from single point-to-point communication to mesh communication between sensors. However, the large sensors serving the infrastructure place a burden on real-time monitoring, data transmission, and even data analysis. The information processing method is experimentally demonstrated with a non-linear Schmitt trigger oscillator. A neuronally inspired concept called reservoir computing has been implemented. The synchronization frequency prediction tasks are utilized as benchmarks to reduce the computational load. The oscillator's oscillation frequency is affected by the sensor input, further affecting the storage pattern of the oscillatory neural network. This paper proposes a method of information processing by training and modulating the weights of the intrinsic electronic neural network to achieve the next step prediction. The effects on the frequency of a single oscillator in a coupled oscillatory neural network are studied under asynchronous and synchronization modes. Principle Component Analysis (PCA) is used to reduce the data dimension, and Support Vector Machine (SVM) is used to classify the synchronous and asynchronous data. We define that oscillator with stronger coupling weight (lower coupling resistance) as a leader oscillator. From the spice simulation, when OSC1 and OSC2 work as leader oscillator, the ONN almost always achieve synchronization; and the synchronization frequency is close to the average value of the leader oscillators. By training the emerging synchronous and asynchronous data, we can predict the synchronization status of an unknown dataset. Weight retrieval can be achieved by adjusting the slope and bias of the separation boundary.
Abstract: With the increase in communication bandwidth and frequency, the development level of communication technology is also constantly developing. The scale of the Internet of Things (IoT) has shifted from single point-to-point communication to mesh communication between sensors. However, the large sensors serving the infrastructure place a burden on rea...
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Effect of Deposition Parameters on the Structure of ZnCo Alloy Nanowires and Growth Mechanism
Tahir Mehmood,
K. M. Wu,
Aiman Mukhtar,
Marina Afzal,
Babar Shahzad Khan
Issue:
Volume 8, Issue 1, February 2020
Pages:
10-15
Received:
13 December 2019
Published:
4 January 2020
Abstract: To elucidate the effect of voltage and concentration on the elctrodeposition of ZnCo nanowires, we have studied the deposition of ZnCo nanowires by XRD and SEM. The structure of ZnCo alloy nanowires changes by changing the concentration of electrolyte as 100-x g/l Co100-xZnx (0≤x≤15), at constant voltage -1.6, and fixed pH 3. XRD results show that change in concentration can transform the crystal structure of electrodeposited Co100-xZnx from crystalline to amorphous. Furthermore, similar behavior from crystalline to amorphous was also observed for ZnCo electrodeposited nanowires at various potentials (-1.6V, - 2.5V, and - 3.0V) from the bath containing Co95g/l and Zn5g/l, pH 3 and at room temperature. We argued that this change in structure of ZnCo nanowires can be attributed to the faster growth rate of Zn than Co. These results can be explained by the electron tunneling theory. The workfunction of Zn (4.33eV) is smaller than Co (5.0eV) and the wavefunction of Zn metal has a larger overlap with orbital wavefunction of Zn ions, which leads the faster growth rate of Zn and hence influenced the structure of ZnCo alloy nanowires.
Abstract: To elucidate the effect of voltage and concentration on the elctrodeposition of ZnCo nanowires, we have studied the deposition of ZnCo nanowires by XRD and SEM. The structure of ZnCo alloy nanowires changes by changing the concentration of electrolyte as 100-x g/l Co100-xZnx (0≤x≤15), at constant voltage -1.6, and fixed pH 3. XRD results show that ...
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Modelling and Testing of the Application Designed for Ballistic Calculations of Detected Objects
Artur Karapetyan,
Aram Ter-Martirosyan,
Beniamin Badalyan,
Armand Karapetyan
Issue:
Volume 8, Issue 1, February 2020
Pages:
16-20
Received:
24 February 2019
Accepted:
25 April 2019
Published:
6 January 2020
Abstract: Detection of objects is a widespread problem; the proposed solutions differ from one another depending on the sphere of application. However, the discovery of objects is only a part of the ultimate goal; the main aim can be the pursuit of the discovered object, the determination of the law of motion and striking of it. The research comprehensively discusses “AYA Sport” application, developed by us, designed for determination of the position of the object and its further striking. It also reviews the most widely used systems for the solution of the above-mentioned problem presenting both their positive and negative aspects.
Abstract: Detection of objects is a widespread problem; the proposed solutions differ from one another depending on the sphere of application. However, the discovery of objects is only a part of the ultimate goal; the main aim can be the pursuit of the discovered object, the determination of the law of motion and striking of it. The research comprehensively ...
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Improved Gardner Suppression Timing Jitter Synchronization Algorithm
Huang Zhen,
Yang Pan,
Zhang Wei Han
Issue:
Volume 8, Issue 1, February 2020
Pages:
21-26
Received:
6 January 2020
Published:
25 February 2020
Abstract: In non-cooperative digital communication systems, the symbol synchronization of the received signal is of great significance for the correct demodulation of the signal. Synchronization, as a key factor in the accurate transmission of information at the sender in communication, is also a vital technology in blind demodulation structures. Strictly speaking, the synchronization technology in non-cooperative communication systems includes not only carrier synchronization and bit synchronization, but also group synchronization and network synchronization. Although the existing synchronization algorithms have good reference value, they also have their limitations. For the traditional symbol synchronization loop based on the Gardner algorithm, when the roll-off coefficient is small and the symbol rate is high, the loop self-noise is serious. This paper uses a symbol synchronization method based on interpolation adjustment sequences, and proposes an improved algorithm that sets a pre-filter that meets the condition of zero timing jitter before the traditional timing error detector to compensate for the effect of self-noise on synchronization. The simulation results of the two algorithms are compared and analyzed. Through the comparison and analysis of the simulation results of the two algorithms, it is found that the improved algorithm can effectively suppress the timing jitter caused by the self-noise of the loop, and at the same time, can accelerate the symbol synchronization speed, effectively improve the limitations of the traditional algorithm and the slow convergence speed. Engineering significance.
Abstract: In non-cooperative digital communication systems, the symbol synchronization of the received signal is of great significance for the correct demodulation of the signal. Synchronization, as a key factor in the accurate transmission of information at the sender in communication, is also a vital technology in blind demodulation structures. Strictly sp...
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Design and Optimized of Solar PV System a Case Study of KIOT Administration Offices
Degarege Anteneh,
Birhanu Alene
Issue:
Volume 8, Issue 1, February 2020
Pages:
27-35
Received:
2 August 2019
Accepted:
12 November 2019
Published:
2 March 2020
Abstract: Design and optimized of solar PV system is a leading trend in modern energy management of distribution system. In modern or currently most of the life, customers take in energy from different sources like, sunlight, wind, diesel, biomass, even batteries and from main grid of electric power and facilitate not only its conversion into electric energy, but also the demand management, storage and generation association with the system’s output. In recently distributions generations (micro grid) implementations combine loads with sources, allow for intentional islanding and try to use the available waste heat. These solutions rely on complex communication and control, and are dependent on key components and require extensive site engineering. This paper focuses on the design, optimization and simulation of 48-V rated stand-alone solar PV using HOMER software that is suppling primarily by photovoltaic (PV) panels and using battery and diesel for comparison, but which also has the capability to tie in to a main electrical grid. A system of this size should be able to supply power for KIOT administration office buildings. The most important objectives of this paper are the selections of an appropriate PV array, the selection or design of a charge controller and the design of the system’s renewable energy converter.
Abstract: Design and optimized of solar PV system is a leading trend in modern energy management of distribution system. In modern or currently most of the life, customers take in energy from different sources like, sunlight, wind, diesel, biomass, even batteries and from main grid of electric power and facilitate not only its conversion into electric energy...
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The Research on Face Recognition and Segmentation Based on Intelligent Background
Issue:
Volume 8, Issue 1, February 2020
Pages:
36-41
Received:
29 February 2020
Published:
14 April 2020
Abstract: Affected by factors such as attitude, light, expression, etc., it is impossible to accurately identify the identity in a wireless visual sensor network in an uncontrollable environment. In traditional visual identity recognition, it is necessary to convert uncontrollable factors into controllable and stable feature factors for identity recognition in a relatively uncontrollable environment where the node distribution is relatively complicated. The conversion process leads to long recognition time and low efficiency. An adaptive recognition method for identity features in wireless visual sensing networks based on LBP face recognition is proposed. A strong classifier is obtained for cascading, and the underlying features are extracted. The final Harr face cascade classifier is applied to the face Check it out. The PCA dimensionality reduction processing of the facial area feature vector is performed to obtain the low-dimensional feature vector, the dimensionality reduction coefficient, and the average face of the person. For the face image in the wireless local area, its LBP operation is given. Perform histogram statistics on face feature information, obtain face LBP histograms, and perform feature matching on the face feature database to complete recognition. The improved algorithm has improved the cumulative matching score of traditional algorithms by 17.8%; the accuracy rate has improved It is 32.7%, and the recognition time is shortened by 3.9s. Simulation results show that the proposed algorithm has high accuracy and recognition efficiency.
Abstract: Affected by factors such as attitude, light, expression, etc., it is impossible to accurately identify the identity in a wireless visual sensor network in an uncontrollable environment. In traditional visual identity recognition, it is necessary to convert uncontrollable factors into controllable and stable feature factors for identity recognition ...
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