bluuebunny/crossref_metadata_2025_split huggingface dataset:
Efficient Feature Extraction from Multispectral Images for Face Recognition Applications: A Deep Learning Approach
Authors: Sudharsanan R , Gopirajan PV , Suresh Kumar K 
Published: February 2021

Abstract
In recent years many face recognition algorithms were used for the identification and authentication of a person to a system. However, still, feature extraction from multispectral images was considered to be a challenging task. Feature extraction, including highlight location and portrayal, assumes a significant job in real-time security-based applications. In this paper, a novel Geometric Algebra-based Multivariate Regression Feature Extraction (GA-MVRFE) algorithm was proposed to extract features from a huge dataset stored in the cloud efficiently. This proposed algorithm works with the supreme expedient deep learning approach - Convolutional Neural Network (CNN) for image classification. CNN will automatically detect significant features from the multispectral images without any human intrusion from a huge database. Real-time images were captured with three different cameras and applied filters over the images and were created as a dataset. To show the competence of the proposed algorithm, an exclusively created dataset with a set of 14,400 image data was applied in the proposed and other existing algorithms, and their efficiency and robustness were noted. Providentially, GA-MVRFE produced better accuracy in ‘Face Recognition’ with a less time fraction compared with former algorithms. Obtained accuracy % for Geometric Algebra Oriented fast and Rotated Brief (GA-ORB), Geometric Algebra Fast Retina key-point Extraction Algorithm (GA-FREAK), Trilateral Smooth Filtering (TRSF), Cross Regression Multiple View Features extraction (CRMVF) and GA-MVRFE was 87.81, 83.23, 90.72, 91.67 and 97.57 respectively.
Study on Fissile Material Usage for 50 MWt High Temperature Gas Reactor using (Pu-U)O2 Fuel
Authors: Pratama Ayu Lia , Irwanto Dwi 
Published: February 2021

Abstract
One of the most potential nuclear power plants is High Temperature Gas-cooled Reactor (HTGR). It is a reactor system designed using TRISO (Tristructural-Isotropic) coated fuel and has very high outlet temperature to produce electricity and many co-generation application processes. The present study aims to analyze fissile material usage for 50 MWt prismatic-type HTGR using (Pu-U)O2 fuel. Calculations were performed using neutron diffusion method that applied in SRAC2006 code, and nuclear data based on JENDL 4.0. Selected neutronic parameters are analyzed to study the effect of the number of fissile enrichment and number of Coated Fuel Particle (CFP) to the reactor system. The results of the parametric survey show that for prismatic-type of 50 MWt HTGR, 10% of enrichment and 8950 of number CFP give the best performance in term of fissile material usage during reactor operation.
The Effect of Sn Dopant on the Electrical and Optical Properties of ZnO Thin Films
Authors: Hendri Yasni Novi , Kenichi Purbayanto Muhammad Abiyyu , Pratama Sendi Nugraha , Zuhairah Nabilah , Darma Yudi 
Published: February 2021

Abstract
We study the electrical and optical properties of Sn-doped ZnO (SZO) films grown by DC-unbalanced magnetron sputtering. To study the electrical properties of the films, we perform current-voltage (I-V) measurement by using metal-semiconductor-metal configuration with Ag as a metal contact. The measurement is performed in the dark and under UV exposure condition to study the photodetection properties of the films. From the I-V curve, it shows that the sensitivity of SZO is dramatically enhanced compared to the undoped film. This enhancement is due to the role of Sn dopant, which gives more electrons to the system. Furthermore, UV-Visible spectra reveal that the band gap increase by introducing the Sn dopant. Photoluminescence spectra show SZO film exhibits a higher green emission intensity compared to ZnO film, which is related to the presence of oxygen vacancy. Our result is important to improve the functionality of ZnO for optoelectronic devices applications.
The Turbine Heat Waste of RDE for Desalination Laboratory Plant
Authors: Sriyono  , Kusumastuti Rahayu , Pancoko M. , Sunaryo Geni R. , Setiadiapura Topan , Subekti M. , Hafid Abdul , Salimy Djati H. , Irianto Ign. Djoko , Susmikanti Mike , Merita  
Published: February 2021

Abstract
Reaktor Daya Eksperimental (RDE) is currently being developed by Batan. This reactor uses HTGR technology as the basis for its development. It has an indirect cycle power conversion with primary coolant is helium and its secondary is water. The RDE will be operated not only for an electrical generation but also for cogeneration purposes. One process can be supported in the cogeneration scheme is seawater desalination. Water is the main source of life and its availability must be maintained on earth. Therefore, to overcome the scarcity of freshwater at the remote islands in Indonesia, it needs nuclear cogeneration by coupling of RDE and desalination. With this technology, it can simultaneously produce electricity and freshwater. A variety of desalting technologies has been developed over the years, including primarily thermal and membrane processes. This paper discusses the simulation of RDE for desalination purposes. The methodology used in this research is modeled and simulation by using ChemCAD. The desalination plant is simulated by the heat exchanger unit operation. The RDE primary mass flow rate is 4.3 kg/s, 700°C of temperature and 30 bars of pressure. The secondary coolant mass flow rate is 3.8 kg/s, 60 bars, and 350°C respectively. Depending upon the specific designs the temperature ranges of the waters in this exchanger could be between 80-130°C. The extraction point of the desalination process is at turbine output, with 300.16°C, 8 bars and 3.7 kg/s of mass flow rate. The total amount of freshwater will generate is 4.09 m3/h equal to 98.16 m3/day.
Analysis of oxide fuel element temperature of RSG-GAS by using experiment and calculation
Authors: Sudarmono  , Bakhri Syaiful , Hastuti Endiah Puji 
Published: February 2021

Abstract
Multipurpose Reactor GA Siwabessy is a research reactor designed to have nominal power of 30 MWth, located in PUSPIPTEK area Serpong and operated by BATAN. RSG GAS utilizes LEU-MTR with enrichment 19.75% and uranium density of 2.96 g U/cm3, 40 fuel rods and 8 control rods, 4 irradiation position (IP) and 1 central irradiation position (CIP) in 2 × 2 lattice, and reactor core surrounded by beryllium reflector. Forced convection cooling mode is applied to remove heat of fission product at normal operation, while natural convection cooling mode is used for reactor physics experiment, or cooling after transient condition. Forced convection cooling mode does not employ primary cooling system, where power is limited to 1% of the nominal power, while natural convection cooling occurs after transient process due to loss of coolant. Heat transfer occurs because of difference in coolant flow density where coolant flows upward since natural circulation valve is opened. This research is aimed to analyze heat removal capability in natural convection cooling mode at the most severe condition following reactor scram. The experiment of cladding and coolant temperature measurement is carried out in fuel coolant channel using instrumented oxide fuel element. Capability of generating reactor power in natural convection cooling is calculated using NATCON code. The measurement result of the highest temperature of plate fuel element is 121°C. Meanwhile, the calculation results of NATCON show that the initial temperature of nucleate boiling TONB occurs at power 685.86 kW and cladding temperature is 126.35 °C. These experiment results indicate that nucleate boiling does not occur in natural convection cooling due to scram or in other words safety margin has been met.
Hot deformation behavior of hard-to-deform Ni-based Alloy
Authors: Lu X D , Zhang Y W , Shi S Y , Wen B , Su X , Du J H 
Published: February 2021

Abstract
The very poor hot workability of hard-to-deform GH4742 alloy is represented in the aspects of very narrow available deformation temperature range, high deformation-resistant force and low thermoplasticity. In this paper, the hot deformation behavior of a Ni-based superalloy was studied in the temperature range of 1060-1160°C and strain rate range of 0.05-0.5 s−1 using hot compression tests. A hot deformation equation is given to characterize the dependence of peak stress on the temperature and strain rate. Results of hot compression test of the GH4742 alloy were indicated that the hot deformation is sensitive to temperature and strain rate. A special heat treatment to change the ingot microstructure is proposed to improve the hot workability of the GH4742 alloy. Modified microstructure induces that the hot deformation flow stress of GH4742 alloy was decreased effectively and hot deformation plasticity was increased obviously.
Bench experimental research of cylinder oil on large marine diesel engines
Authors: Lin J H , Wang B X , Wei L D 
Published: February 2021

Abstract
To lower the risks of the real ship test of the cylinder oil of large marine low-speed two-stroke marine diesel engine, A 6S50ME marine diesel engine was selected to do bench test about cylinder oil. In the calibration condition, the test cylinder oil and the reference cylinder oil were compared. The test results show that the wear amount of cylinder liners, piston rings and piston-ring-grooves is consistent with the wear condition judged by the metal element content detected by the residual oil of the cylinder. At the same time, combined with the evaluation result of the detergency and dispersibility of the cylinder oil, it can effectively judge whether the oil product can be tested on the ship. Since wear volume of element Cr and Fe tends to the stabilization after 60 hours, so it is feasible to set the diesel engine bench test at 100 hours. In addition, special attention should be paid to the control of water outlet temperature and exhaust gas temperature in the test. The cylinder oil evaluated in the above way meets the requirements of OEM after the actual ship test. Thus, the assessment method of cylinder oil based on the bench test is feasible, and can greatly shorten the test time and reduce the test cost.
Anti-galling β-SiC coating dies for fine cold forging of titanium
Authors: Aizawa Tatsuhiko , Yoshino Tomoaki , Shiratori Tomomi , Dohda Kuniaki 
Published: February 2021

Abstract
β-SiC coating die and punch were employed for forging of titanium wire to triangular bar in high reduction of thickness by 35 %. CNC (computer numerical control) stamper was utilized to describe the elasto-plastic behavior of titanium wire in dry forging. Precise analyses on the contact interface between SiC coating and titanium work were made to investigate the mass transfer of metallic titanium as well as titanium oxide debris particles onto SiC coating surface. In particular, element mapping and Raman spectroscopic analyses were performed to describe the formation of thin titanium oxide film as well as the agglomeration of unbound carbon on the SiC coating punch.
The convergence rate of a polygonal finite element for Stokes flows on different mesh families
Authors: Vu-Huu T , Le-Thanh C , Pham-Van Sy , Hoan Pham Q , Nguyen-Xuan H , Abdel-Wahab M 
Published: February 2021

Abstract
This paper introduces an evaluation to consider the convergence rate of a polygonal finite element (PFE) to solve two-dimensional (2D) incompressible steady Stokes flows on different mesh families. For this purpose, a numerical example of 2D incompressible steady Stokes flows programmed and coded by MATLAB is deployed. Furthermore, the mixed equal-order PFE, i.e., Pe1Pe1, is utilised for this research. Additionally, five different mesh families, i.e., triangular, quadrilateral, hexagonal, random Voronoi, centroidal Voronoi meshes, are applied for this research. Moreover, an interesting evaluation of the CPU time for the performance of our proposed PFE in this research is employed as well. From these tests, differences in convergence rate, as well as CPU time of using Pe1Pe1 on different mesh families, are indicated.
Research on Encrypted Text Classification Based on Natural Language Processing
Authors: Ren Qiuyi 
Published: February 2021

Abstract
In reality, data encryption technology is mostly used to protect the security of text data in the network, but when we need to obtain these data, this layer of encryption becomes an obstruction to obtaining data. The general method uses data mining and data decryption to extract effective information. The experimental data in this article selected 20 categories of text information, and obtained a data set with a difficulty of 1 to classify the encrypted text information. In order to classify encrypted text more effectively, this paper studies the method of using the logistic regression model and the LightGBM model algorithm to directly process encrypted text, which can directly extract and classify the text in the encrypted state. Model evaluation results show that LightGBM is more effective. In addition, this article provides a basic framework for the classification of encrypted text based on natural language processing.
An Agile Testing Framework of Four Quadrants
Authors: Yu Jiujiu , Zhu Shaomin , Zhang Jishan , Chen Yun , Wu Ning , Mei Yingying , Zhang Deqing , Zhu Lili 
Published: February 2021

Abstract
The research is based on the idea of agile testing, taking the “order cancelled” module of an e-commerce website as an application case, this study is devoted to exploring a feasible and scientific agile testing framework of four quadrants to form an anticlockwise closed loop for guiding the software agile testing process. Furthermore, further work is put forward to establish of a special defect management database for bug definition and analysis, and build the particular test process models for each quadrant of this agile testing framework gradually.
Multi-MEC server multi-user resource allocation in heterogeneous network
Authors: ZhenQin  , Liao Yuanxiu , Shen Dejin 
Published: February 2021

Abstract
Aiming at the coexistence of large and small cells in heterogeneous cellular networks, the difference of computing resources between mobile equipment and base stations, and the diversity of service quality demands of users, a resource allocation algorithm based on matching game theory was proposed. We assume that some users have computing needs and can perform MEC offloading or D2D offloading. We define cost performance as the ratio of the data rate per user to its price cost, and resource allocation as the cost performance maximization problem. Considering that the formulation problem is a mixed integer nonlinear problem and it is difficult to obtain the optimal solution, we design an improved Gale-Shapley algorithm based on matching game theory to obtain the feasible solution of the problem. Simulation results show that the proposed multi-MEC server multi-user resource allocation strategy can effectively reduce user service delay and improve system performance in heterogeneous cellular networks.
A Non-Foster UWB Electrically Small Planar Monople Antenna (ESPMA)
Authors: Zhang Chungang , Xie Yongjun , Ren Haiping 
Published: February 2021

Abstract
Electrically small antennas (ESAs) may be employed instead of full-size antennas in a limited space for many communication networks such as the very high-frequency (VHF) band applications and ultra high-frequency (UHF)band applications. However, ESAs can not simultaneously achieve high gain and broadband by passive matching due to the gain-bandwidth theory. This paper presents a ultra wide-band (UWB) transmit electrically small planar monople antenna (ESPMA) with a non-foster impedance matching to bypass the restriction of the gain-bandwidth theory. The proposed antenna is composed of a planar monopole antenna with a height of 10 cm in profile and a non-Foster circuit. The plane monople antenna is chosen because of its better impedance performance than a cylindrical monople. The proposed antenna can operate in the band range of 80 MHz - 500 MHz (145%, VSWR<2.5) much greater than the maximum bandwidth of 0.285% in the theory of matching with the conventional passive circuit. The transmission efficiency of the antenna is improved by as much as 31dB compared with the same antenna without the proposed matching network. Besides, the stability of the proposed matching network is remained within the operating band.
Deep Learning Method for Buffer Layer Defect Detection in High Voltage Cable
Authors: Yi Xie , Jun Zhang , Le Zhang , Jianjia Duan , Xiaoli Duan , Fuyong Huang 
Published: February 2021

Abstract
A deep learning method based on the convolution neural network is proposed to replace the manual inspection for the buffer layer defect detection in high voltage cable. One hundred seventy-seven high-resolution images of defects are collected. The VGG16 network is adopted. The results indicated that the VGG16 achieves the F1 score to 0.68 on the test set, proving to be an efficient way to detect the buffer layer defects.
Research on Fire Alarm Monitoring System of Fire Engineering Based on Network
Authors: Cai Liu Rong , Ning Tao Hua , Chao Liu Rong 
Published: February 2021

Abstract
Under the background of rapid development of information technology, the design of fire alarm devices in fire engineering in China is becoming more modern and humanized. At present, under the traditional alarm function, the fire alarm system device embodies the functions of centralized alarm monitoring, fire linkage, automatic prevention and control, data transmission and so on, which lays a good foundation for the fire alarm construction of the new generation fire protection engineering. In this paper, the operation status of the fire alarm monitoring system of network fire protection engineering in China is studied and analyzed, hoping to provide reference for the corresponding units.
Agile development technology of test application program suitable for semiconductor device testing
Authors: Yan Tao , Guo Min , Zhu Xuebo , Yang Yang 
Published: February 2021

Abstract
The semiconductor devices (especially integrated circuits/chips) test field involves a wide range of device types and test parameters, which leads to low development efficiency, poor stability, weak reuse, long development cycle and repetitive work in application development. Therefore, a test application development method based on reusable component technology is proposed in this paper. Firstly, this paper introduces the basic concepts and characteristics of the reusable component technology. Then, according to the current situation of semiconductor device testing, the design method of component-based test application program is described. Finally, the typical semiconductor device test application program is designed and developed by using LabWindows/CVI integrated development environment. Practice has proved that the component-based test application program design can speed up the R&D and ensure the software quality at the same time. The agile development requirement of application program for semiconductor device test system can be satisfied.
Prediction of fishing vessel operation mode based on Stacking model fusion
Authors: Fu Huaichun , Gao Shouwei , Peng Yan , Zhao Nan 
Published: February 2021

Abstract
Due to the continuous upgrading and optimization of fishing technology and tools, and the diversification of fishing vessel operation methods, marine fishery resources are continuously depleted. Precise prediction of the operation methods of marine fishing vessels is helpful to realize effective supervision of fishing behavior of fishing vessels. In order to improve the prediction accuracy, when doing feature engineering, this paper uses a vector encoding scheme based on trajectory sequence, and uses text vectors to train the word2vec model to calculate the embedding features of each position. At present, the single method needs to be improved in terms of forecasting accuracy. This paper proposes a forecasting method based on Stacking model fusion in order to further improve the forecasting accuracy of marine fishing vessel operations. The experimental results show that the Stacking fusion model using the vector coding scheme based on the trajectory sequence has a greater improvement in prediction accuracy than a single model.
Theoretical investigation of weight-dependent optical spike timing dependent plasticity based on VCSOA
Authors: Tian Tao , Ni Min , Zhengmao  , Guangqiong Wu , Xiaodong Xia , Tao Deng Lin 
Published: February 2021

Abstract
We propose an implement scheme of the weight-dependent optical spike timing dependent plasticity (STDP) based on the vertical-cavity semiconductor optical amplifiers (VCSOAs) subject to double optical spike injections, and numerically investigate the effects of the internal and external parameters of VCSOAs on the optical STDP curve by the well-known Fabry-Pérot approach. Additionally, the optical weight-dependent STDP is realized by introducing the various bias current according to the feedback signal. The simulation results show that, the width and height of the optical STDP curve window can be effectively controlled by adjusting the relevant parameters of VCSOAs. Moreover, the optical weight-dependent STDP is analogous to the biological STDP synapses and can be used to balance the stability and competition among synapses. These results can offer great potential for constructing a large-scale energy efficient optical spiking neural networks (SNNs).
Research on 3D Pose Measurement Algorithm Based on Binocular Vision
Authors: Shan Fu Qiang , Wang Feng , Zhang Hai Feng 
Published: February 2021

Abstract
Based on binocular vision, this paper proposes an algorithm for fast and accurate three-dimensional measurement. The binocular 3D measurement system is mainly divided into four parts: binocular calibration, binocular correction, binocular matching and pose calculation. In this paper, an international softwareM is used to achieve camera calibration, the FAST algorithm is used to achieve the extraction of feature points, and the matching method that combines gray-level correlation coefficient (cc) and epipolar constraint is selected. Experiments have verified that this algorithm can accurately achieve three-dimensional pose measurement.
Remote monitoring system of branch circuit in the family
Authors: Liu Xu , Li Zhongyu , Chen Yang , Zhang Xu , Li Zhaoming 
Published: February 2021

Abstract
In order to estimate and predict human real-time heating demand and optimize the existing electric heating control methods, a large number of household electricity data samples are required for training. This article mainly introduces the method of obtaining data samples, and realizes the monitoring of household branch circuit information by establishing a modern remote monitoring system. The author gives the detailed hardware design and software function introduction of the system. Each collection terminal in the system uses LAN, LTE and Wi-Fi modes to establish communication with the monitoring center, completing the basic functions of collecting electricity information for each branch circuit in the family, and having a remote upgrade function makes the system more complete. An experiment conducted in a family in Jinan City, Shandong Province, China tested the function of the verification system. The proposed remote monitoring system can be a useful tool to grasp the power consumption of each line of the family and study the energy demand of users.