2020 Vol. 18, No. 1


2020, 18(1)
2020, 18(1)
Special Issue on Materials Testing and Signal Processing
Machine Learning Application for Prediction of Sapphire Crystals Defects
Yulia Vladimirovna Klunnikova, Maxim Vladimirovich Anikeev, Alexey Vladimirovich Filimonov, Ravi Kumar
2020, 18(1): 1-9. doi: 10.1016/j.jnlest.2020.100029
We investigate the impact of different numbers of positive and negative examples on machine learning for sapphire crystals defects prediction. We obtain the models of crystal growth parameters influence on the sapphire crystal growth. For example, these models allow predicting the defects that occur due to local overcooling of crucible walls in the thermal node leading to the accelerated crystal growth. We also develop the prediction models for obtaining the crystal weight, blocks, cracks, bubbles formation, and total defect characteristics. The models were trained on all data sets and later tested for generalization on testing sets, which did not overlap the training set. During training and testing, we find the recall and precision of prediction, and analyze the correlation among the features. The results have shown that the precision of the neural network method for predicting defects formed by local overcooling of the crucible reached 0.94.
Method of Relaxation Rates Measurement in Proton-Containing Materials
Sergey Ermak, Vladimir Semenov, Roman Lozov
2020, 18(1): 10-18. doi: 10.1016/j.jnlest.2020.100028
A method of the relaxation time measurement in a flowing sample, based on the comparison of the amplitudes of nuclear magnetic resonance (NMR) signals observed from the reference and tested flowing samples was represented. The inductive and optical methods of NMR signal detection in the flowing sample were compared. The levels of NMR signal (10000 Hz−1/2) and the Hanle magnetometers signal-to-noise ratio (3500 Hz−1/2) were calculated and the possibility of the NMR signal detection with the small-size Hanle magnetometer was demonstrated. Additionally, the absence of a magnet-analyzer and the ability to measure both longitudinal and transverse relaxation time with high accuracy was demonstrated.
Image Processing of Biological Liquids Films for Medical Diagnostics
Maksim Aleksandrovich Baranov
2020, 18(1): 19-30. doi: 10.1016/j.jnlest.2020.100027
In this paper, the development of smart medical autonomous technology is considered. An example of a smart medical autonomous distributed system for diagnostics is also discussed. To develop this system for medical image analysis we review several processing methods. The use of the cuneiform dehydration method for medical diagnosis is considered. The experimental results obtained for blood serum dehydrated films are presented. The author proposes an algorithm for the primary identification of structures formed in the films and their use for automated detection of various structures for diagnostic purposes. The paper describes the first stage of image processing, i.e. the selection of filtering types for the correct identification of structural features and characteristics of the images. The results of filtering and some computational results of various types of structures in the films are presented.
Recognition of Film Type Using HSV Features on Deep-Learning Neural Networks
Ching-Ta Lu, Jia-An Lin, Chia-Yi Chang, Chia-Hua Liu, Ling-Ling Wang, Kun-Fu Tseng
2020, 18(1): 31-41. doi: 10.11989/JEST.1674-862X.90904223
The number of films is numerous and the film contents are complex over the Internet and multimedia sources. It is time consuming for a viewer to select a favorite film. This paper presents an automatic recognition system of film types. Initially, a film is firstly sampled as frame sequences. The color space, including hue, saturation, and brightness value (HSV), is analyzed for each sampled frame by computing the deviation and mean of HSV for each film. These features are utilized as inputs to a deep-learning neural network (DNN) for the recognition of film types. One hundred films are utilized to train and validate the model parameters of DNN. In the testing phase, a film is recognized as one of the five categories, including action, comedy, horror thriller, romance, and science fiction, by the trained DNN. The experimental results reveal that the film types can be effectively recognized by the proposed approach, enabling the viewer to select an interesting film accurately and quickly.
BER Performance of Finite in Time Optimal FTN Signals for the Viterbi Algorithm
Sergey B. Makarov, Ilya I. Lavrenyuk, Anna S. Ovsyannikova, Sergey V. Zavjalov
2020, 18(1): 42-51. doi: 10.1016/j.jnlest.2020.100022
In this article, we consider the faster than Nyquist (FTN) technology in aspects of the application of the Viterbi algorithm (VA). Finite in time optimal FTN signals are used to provide a symbol rate higher than the “Nyquist barrier” without any encoding. These signals are obtained as the solutions of the corresponding optimization problem. Optimal signals are characterized by intersymbol interference (ISI). This fact leads to significant bit error rate (BER) performance degradation for “classical” forms of signals. However, ISI can be controlled by the restriction of the optimization problem. So we can use optimal signals in conditions of increased duration and an increased symbol rate without significant energy losses. The additional symbol rate increase leads to the increase of the reception algorithm complexity. We consider the application of VA for optimal FTN signals reception. The application of VA for receiving optimal FTN signals with increased duration provides close to the potential performance of BER, while the symbol rate is twice above the Nyquist limit.
Role of Electromagnetic Fluctuations in Organic Electronics
Vladimir M. Mostepanenko, Elena N. Velichko, Maksim Aleksandrovich Baranov
2020, 18(1): 52-58. doi: 10.1016/j.jnlest.2020.100023
Thin organic films find expanding applications in electronic and optoelectronic devices, biotechnology, food packing, and for many other purposes. Among other factors, the stability of films with a thickness below a micrometer is determined by the zero-point and thermal fluctuations of the electromagnetic field. These fluctuations result in the van der Waals and Casimir free energy and forces between a film and a substrate. The fluctuation-induced force may be both attractive and repulsive making the film either more or less stable, respectively. Here, we review recently obtained results for the Casimir free energy of both freestanding and deposited on the metallic and dielectric substrates peptide films. We also perform computations for the free energy of the peptide films deposited on a silica glass substrate in the region of parameters where this free energy vanishes. Possible applications of the obtained results are discussed.
Utilization of Extrinsic Fabry-Perot Interferometers with Spectral Interferometric Interrogation for Microdisplacement Measurement
Leonid Liokumovich, Aleksandr Markvart, Nikolai Ushakov
2020, 18(1): 59-75. doi: 10.1016/j.jnlest.2020.100030
The paper presents a number of signal processing approaches for the spectral interferometric interrogation of extrinsic Fabry-Perot interferometers (EFPIs). The analysis of attainable microdisplacement resolution is performed and the analytical equations describing the dependence of resolution on parameters of the interrogation setup are derived. The efficiency of the proposed signal processing approaches and the validity of analytical derivations are supported by experiments. The proposed approaches allow the interrogation of up to four multiplexed sensors with attained resolution between 30 pm and 80 pm, up to three times improvement of microdisplacement resolution of a single sensor by means of using the reference interferometer and noise-compensating approach, and ability to register signals with frequencies up to 1 kHz in the case of 1 Hz spectrum acquisition rate. The proposed approaches can be used for various applications, including biomedical, industrial inspection, and others, amongst the microdisplacement measurement.
Casimir Effect in Optoelectronic Devices Using Ferrofluids
Elena N. Velichko, Galina L. Klimchitskaya, Elina N. Nepomnyashchaya
2020, 18(1): 76-82. doi: 10.1016/j.jnlest.2020.100024
Some of the modern electronic and optoelectronic devices exploit ferrofluids contained in narrow gaps between two material plates. When the width of the gap becomes below a micrometer, the boundary plates are subjected to the Casimir force arising from the zero-point and thermal fluctuations of the electromagnetic field. These forces should be taken into account in microdevices with the dimensions decreased to below a micrometer. In this paper, we review recently performed calculations of the attractive Casimir pressure in three-layer systems containing a ferrofluid. We also find the ferrofluidic system where the Casimir pressure is repulsive. This result is obtained in the framework of the fundamental Lifshitz theory of van der Waals and Casimir forces. The conclusion is made that enhanced repulsion due to the presence of a ferrofluid may prevent from sticking of closely spaced elements of a microdevice.
Regular Papers
Adaptive Path Selection Scheme with Combining for Multiple Relaying Cooperative Communications Networks
Yung-Fa Huang, John Jenq, Cing-Chia Lai, Jyu-Wei Wang
2020, 18(1): 83-92. doi: 10.11989/JEST.1674-862X.71018108
In future communications, cooperative communications with relay networks will be one of the most effective schemes to enlarge the coverage area and to boost the data rate. In the recent research results, the path selection, power allocation, and relay protocols on relay networks are the most important factors to improve the system performance. However, the channel quality of the direct transmission path and the relaying path has an influential effect on the performance of relay networks. Therefore, in this paper, we propose a best relaying path selection (BRPS) scheme to obtain the path diversity to improve the system capacity and data rate for cooperative networks (CNs). Simulation results show that the more the relay nodes are selected, the lower the bit error rate (BER) is. The proposed BRPS scheme obtains a high concession between both BER and system capacity for CNs.
Secure Image Hiding Scheme Based on Magic Signet
Chin-Feng Lee, Ying-Xiang Wang
2020, 18(1): 93-101. doi: 10.11989/JEST.1674-862X.80206200
Image data hiding technology is secret communications that carry hidden data in such a way that no one except the sender and intended recipients can even realize there is a hidden message. High embedding capacity, good images quality, and security are three important essentials. In this paper, each confidential hexadecimal will be carried by two cover pixels based on a magic matrix generated from a square template to reach the goal of higher embedding capacity while keeping good image visualization. Experimental results reveal that the proposed scheme guarantees higher embedding capacity of 2 bits per pixel and has the peak signal-to-noise ratio (PSNR) of 44.7 dB on average. Moreover, secret keys are used to ensure security consideration.
Journal of Electronic Science and Technology Information for Authors
2020, 18(1): 102-102.
Call for Papers: Special Section on
2020, 18(1): 103-103.
Call for Papers: Special Section on
2020, 18(1): 104-104.