bluuebunny/crossref_metadata_2025 huggingface dataset:
Non-arc and non-interruption control scheme of phase commutation switch based on diode natural commutation
Authors: Li HongTao , Hao Liang , Tang XianWu
Published: August 2020

It is an effective way to balance three-phase loads by installing phase commutation switch(PCS) to automatically transfer single-phase load from heavy load phase to light load phase. A PCS with the circuit topology based on diode natural commutation is introduced. This PCS uses latching relay as switch element. The PCS control principle is studied under the ideal condition of three-phase voltage symmetry and pure resistance load. The influence of the load characteristics of the actual single-phase user and the three-phase voltage asymmetry on the PCS control is analyzed. Considering that the latching relay is not an ideal switch, the action parameters of the latching relay are tested. According to the actual situation of single-phase users and the batch test results of latching relays, a practical non-arc and non-interruption control scheme of the PCS is proposed. The control scheme is tested on a developed prototype of the PCS.
Design of Remote Water Meter Reading System Based on GPRS Technology
Authors: Cao Xunjie
Published: August 2020

With the rapid development of electronic technology and information technology, the management level of metering instruments continues to improve, and people hope that metering instruments can be automated as soon as possible. Therefore, it has become inevitable to realize the automatic transcription of various meters. The shortcomings of the traditional manual copying method have caused a certain economic loss to society. At present, most remote meter readings use SMS communication to report regularly. This meter reading method is relatively backward, high in cost, poor in real-time, and unable to accurately monitor the operation of on-site water meters in time. Therefore, this article first analyzes the advantages of GPRS and the characteristics suitable for remote meter reading of water meters, and then designs the overall structure of the remote meter reading system, and introduces the core implementation part of the remote meter reading software in detail, and realizes the design of remote meter reading system based on GPRS.
BIM-based Technology Implementation on Quality Management in Construction Engineering
Authors: Wang J Z , Wei G A
Published: August 2020

The quality management is an important indicator that affects building projects value and practicability on peoples’ work and life. When building quality cannot reach the standards, it would bring personal safety and property into danger. BIM-based technology has been proved that it can effectively provide specific solutions to deal with quality issues and improve quality management efficiency in the entire project life cycle. It is a significant technology to upgrade the traditional construction industry into automation and intelligence through stimulating specific construction works into a visual reality. Therefore, quality management efficiency can be enhanced on labour, material and equipment sources through BIM-based system. This paper would analyse how BIM-based quality management methods can improve the efficiency and accuracy of building project quality issues.
Research on on-line monitoring technology of IGBT module junction temperature based on Kalman filter
Authors: Zhang Yubin , Wen Yingke , Lin Ruan
Published: August 2020

IGBT is the core device of energy conversion and transmission, commonly known as the CPU of power electronic devices. However, with the continuous improvement of IGBT power density, its reliability is increasingly concerned by industry and academia. The failure of IGBT module is mainly related to the average junction temperature and the amplitude of junction temperature fluctuation, and with the increase of the amplitude of junction temperature fluctuation, the number of failure cycles of IGBT module will sharply decrease. It can be seen that the change of junction temperature in power module is the key to affect its fatigue life. In this paper, an on-line junction temperature monitoring method based on Kalman filter is proposed, which combines the actual temperature measured by IGBT module with the junction temperature obtained by RC thermal network, so it has the advantages of high reliability and real-time on-line monitoring. The simulation results show the effectiveness of the method.
Research on Two-dimensional Fabry-Perot Ultrasonic Sensing Technology
Authors: Liu Hui , Li Simian
Published: August 2020

According to the laser interference method, a two-dimensional Fabry-Perot fiber optic sensor is used as the core, and the difference between the propagation speed of the ultrasonic transverse wave and the longitudinal wave in the solid medium is used to measure the ultrasonic wave propagating in the solid to realize the ultrasonic positioning. An F-P interference cavity is formed with a coated quartz film, the end face of the fiber end, and air. At the same time, the cantilever beam design can be used to simultaneously extract longitudinal ultrasonic waves based on Fabry-Perot cavity interference and transverse ultrasonic signals based on cantilever fibers in a solid rod-shaped acoustic waveguide. In this paper, the position of the ultrasonic wave is determined by the difference of the longitudinal and transverse ultrasonic wave speeds in the detected ultrasonic signals.
Grey relational analysis to explore the culture factors of Haematococcus pluvialis
Authors: Duan Huabiao , Cui Shigang , Zhang Yongli
Published: August 2020

Astaxanthin has superior antioxidant capacity, and Haematococcus pluvialis is recognized as the most powerful organism to accumulate natural astaxanthin in nature. In artificial culture, environmental factors can affect the yield of astaxanthin. In order to reduce blindness in the cultivation of Haematococcus pluvialis and effectively increase astaxanthin production, grey relational analysis was used to calculate the correlation between the culture factors and the growth condition of Haematococcus pluvialis, and advantage analysis was performed to investigate the influence degree of different culture factors on the growth and astaxanthin accumulation of Haematococcus pluvialis. The results showed that the effects of light intensity and temperature were greatest during the proliferative culture stage, while the effects of temperature and light duration were greatest during the astaxanthin induction stage. The application of grey relational analysis also provides a convenient reference tool for the design of research to improve the yield of astaxanthin induced by Haematococcus pluvialis, and other culture factors affecting astaxanthin yield can be analyzed and compared using this method, providing more ideas for optimizing culture methods and developing culture devices.
Design and Finite Element Analysis of composite PTFE Compression Packing with C-shape Structure
Authors: Tamirat A Wasihun , Suo Shuangfu , Shi Jianwen
Published: August 2020

Gland packing is a sealing device in mechanical equipment like pumps. With the development of science and technology, new materials and new structures have appeared, giving new vitality and advancement to the packing seal. In the process of pump operation, the major problems of gland packing seals are the wear of the filler material and leakage of media through the interface. Hence, In order to improve the sealing performance of a gland packing, Different factors including design structure, the number of packing rings, type of filler material, operating condition like temperature, pressure and speed of shaft can be considered. In this study the finite element analysis of the packing seal is carried out, and the axial stress distribution, bottom pressure and friction moment of the packing seal are obtained according to its design structure and stress condition. Furthermore, the results of finite element analysis are verified by experiments.
Facial expression recognition based on CNN
Authors: Wang Mingjie , Tan Pengcheng , Zhang Xin , Kang Yu , Jin Canguo , Cao Jianying
Published: August 2020

Facial expression recognition usually can be defined one of the important research in the field of AI and pattern recognition. Facial expression contains rich invisible information, which can help to understand human emotions and intentions, which has great research value. Aiming at solve problems that usually happened such as low recognition accuracy and weak generalization ability of traditional facial expression recognition methods, this paper introduces the theory of the convolution neural network and establishes the convolution neural network model to realize facial expression recognition. Using the crawler to crawl the network image data and using the Viola-Jones algorithm to detect the original data set, after screening, the face expression database is finally established. The convolution neural network model is applied to face expression recognition of the database. We can find that this method can effectively recognize facial expression, and provides a new way to solve this problem.
Controlling the False Discovery Rate via symmetrized data aggregation based on SLOPE
Authors: Guo Yihe , Zi Xuemin
Published: August 2020

The symmetrized data aggregation (SDA) method has obvious advantages in controlling false discovery rate (FDR) under dependence, but it is affected by data sparsity level, signal amplitude and feature correlation structures. The FDR control becomes less accurate due to the additional estimation errors. In this paper, we expand the symmetrized data aggregation (SDA) filter by using sorted L-one penalized estimation (SLOPE) method, and in comparison with SDA, SDA-SLOPE method can estimate FDR more accurately and improve the true discovery rate (TDR). Through simulation study, it is found that SDA-SLOPE can adapt to the changes of data sparsity, signal amplitude and feature correlation, and the robustness and effectiveness of this method in FDR control are verified.
Optimization design of torsion beam structure of car based on fatigue life analysis
Authors: Yang Sen , Zhang Gongxue , Niu Gugen , Tuo Yinfeng , Ma Zhi
Published: August 2020

Taking the torsional beam of the car as the research object, the fatigue life of the torsional beam is analyzed through the simulation experiment, and the optimization scheme is selected according to the life of the torsional beam. Firstly, eight component thicknesses are selected as design variables by Plackett-Burman experimental design method, and the radial basis function neural network approximate model of the beam is established. Taking the maximum equivalent stress of the beam as the optimization objective, the beam mass, and the maximum deformation as the constraint conditions, the multi-objective optimization is carried out, and then two new structural design schemes are carried out for the parts with a rich life. The optimization results show that the maximum deformation is reduced by 15.9%, the maximum equivalent stress is reduced by 10.1%, and the overall life of the beam is extended by 40.6%.
Research on suppression measures of ferromagnetic resonance based on ATP-EMTP
Authors: Wu Weili , Zhang Tianming
Published: August 2020

Aiming at the electromagnetic transformer of a 35kV substation in a certain area, a simulation model of ferromagnetic resonance based on ATP-EMTP software was established. Several methods of suppressing ferromagnetic resonance overvoltage were analyzed, and it was found that the harmonic elimination device could not completely suppress the occurrence of ferromagnetic resonance, and improvements are proposed based on this.
Car headlight steering and follow-up mechanism design
Authors: Sang Kang , Zhang Shaoguo
Published: August 2020

In order to reduce the driving problem caused by insufficient light when driving and turning, it is necessary to design the following steering headlamp, so that the driver can see the road information in front of him in time and make a timely judgment. This paper firstly determines the overall design of the following steering light, analyzes and selects the following steering structure of the main structure of the headlight, and completes the design of the transmission scheme. Finally, the design can realize the following steering of the headlight.
Optimal design of the gear transmission system based on the modal response surface method
Authors: Tong Cao , Wang Zhen , Wang Jieyu
Published: August 2020

In order to conduct the lightweight optimization design of the gear transmission system, this paper uses the experimental design response surface method to construct the modal response explicit function of the gear transmission system based on the modal analysis results. Furthermore, the optimized design model of the gear transmission system (including gears, gear shafts, and bearings) is established on the base of the results of the modal response surface, and the optimized design model is solved and optimized through the Fmincon toolbox of MATLAB. By comparing the optimized results, it is shown that the optimization design method proposed in this paper can achieve the optimal design of the gear transmission system, which is of great significance to the optimization design of mechanical engineering.
Study on the Safety for Five-axis CNC Machine with A–C Dual Rotary Tables
Authors: Li Tiren , Cai Liping , Yang Yun , Muhammad Babar , Tuo Yinfeng , Yan Bobo
Published: August 2020

In order to solve the problem of interfering and processing blinds in the machining of five-axis machine tools with A-C dual rotary tables, the actual situation of NC machining was analyzed. Starting from the cause of problem, two aspects were selected to avoid the interference of the tool, handle or spindle parts with non-processing parts. One is to set the CAM software to control the tool spindle. Another method is to calculate the safe height of the fixture to lift the workpiece. Then the problem of processing blind spots was solved through optimization of the A, C rotation angle to rule A angle value was zero or negative. Finally, the VERICUT software simulation and example machining were used to verify great practical value that these three methods promotes the safety of five-axis machine tools with A–C dual rotary table.
Symmetry breaking of plasma induced by pressure in PIG ion source
Authors: Ju Shaojia , Li Jie , Lu Jie , Zhou Xiaohua
Published: August 2020

In this work, we use the COMSOL software to study the discharge characteristics of argon in the Penning ion gauge (PIG) ion source driven by DC voltage and based on a two-dimensional fluid model. The distribution of the electron density under different pressures is investigated. Our results indicate that, although the ion source has the symmetric geometry structure, the distribution of the electron density will lose the symmetry due to the change of pressures.
Systematic analysis of rationalization of mechanical design in mechanical manufacturing process
Authors: Sun Feng
Published: August 2020

The use of mechanical equipment instead of labor is the core link of the rapid development of modern industry, which can greatly improve the efficiency of manufacturing and effectively reduce the risk of manufacturing, but at present, there is less systematic research on the design of mechanical equipment, so it is difficult to rationalize the design of mechanical equipment from the aspect of mechanical manufacturing technology, which can easily lead to the reduction of the precision of mechanical equipment. In view of this, the paper studies the importance of the rational design of mechanical manufacturing, and studies the process flow of mechanical manufacturing. On this basis, the rational mechanical design based on mechanical manufacturing process is systematically analysed, and the rational mechanical design strategy is formulated provided theoretical support for the manufacture of machinery and equipment.
Modeling and simulation of multi-footed wheel robot based on ADAMS
Authors: Liu Cheng , Zhao Dong , Huang Weitao , Meng Xianjiang , Du Wenhao
Published: August 2020

To reduce the complex mechanism and difficult control of multi-legged robot, the overall design of the new multi-footed wheel robot was carried out according to the previous research results—multi-footed wheel mechanism. A new multi-wheeled robot model was built by using SolidWorks. External data planning was carried out for dynamic force data curve of the motor. In ADAMS, the kinematics characteristics and data of the multi-footed wheel robot were obtained through simulation analysis of the model by interpolation method. The rationality of mechanism design and driving stability were verified by simulation analysis.
Multi-node Task Scheduling Algorithm for Edge Computing Based on Multi-Objective Optimization
Authors: Shi Zheng , Shi Zhiguo
Published: August 2020

In edge computing, nodes are highly dynamic and resources are unbalanced. Due to the need to ensure near real-time response of tasks, when task scheduling is required, the resource availability of the target node needs to be estimated. It prevents the node’s computing resources from being exhausted or the node from failing or going offline, when the task is pushed to the target node. In this paper, by studying multi-node task scheduling technology, a multi-objective optimization model is established, while considering the impact of completion time, energy consumption and load balancing on task scheduling. The task scheduling problem is transformed into a bidding model, and the offloading location of subtasks is determined in real time to meet the requirements of delay-sensitive tasks. Finally, simulation experiments are used to obtain the availability of the technology for multi-node task scheduling, which provides new ideas for task scheduling in edge computing.
Simulation of TD-LTE planning based on ray tracing model
Authors: Simin Ma , Qiang Liu , Jiang Yu , Qing Tian
Published: August 2020

Aiming at the problem of the network optimization of the signal base station in the urban environment, the ray tracing algorithm is used to model the urban cell and the wireless channel. By calculating the reference signal power of the receiving equipment, the received signal strength of each position in the cell radiated by different base stations is obtained. On this basis, the accuracy of calculation is verified with the measured data, and the countermeasures to solve the problem of poor channel coverage are given.
Research on Reading Subject Recommendation of Library Based on Data Analysis
Authors: Hu Jianfei , Shao Hua , Tang Jinling , Zhang Shuhong
Published: August 2020

In the era of big data, users’ demands are increasingly diversified and personalized. Digital library introduces user portraits to establish intelligent reading recommendation system, which can comprehensively grasp users’ dynamic demands and form accurate and intelligent resource recommendation service mode. This paper introduces the characteristics and application advantages of user portrait, and analyses the methods of user portrait in Digital Library under the big data environment. On the basis of in-depth analysis of library book retrieval function, this paper makes clear that the library subject reading recommendation system includes the modules of data collection, recommendation engine, front-end display and background management. The design and implementation of the recommendation system are introduced in detail. The research results of this paper have certain practical significance for the exploration of the recommendation system of university library.
Secure beamforming design of SWIPT relay network with multiple users and eavesdroppers
Authors: He Lu , Li Taoshen , Baber  , Wang Zhe , Lu Mingyu , Shi Anni , Zhu Qing
Published: August 2020

This paper studies the secure beamforming design for simultaneous wireless information and power transfer (SWIPT) in a amplify-and-forward (AF) relay networks with multiple users and eavesdroppers. Each user node adopts the power splitting (PS) scheme to decode information and harvest energy simultaneously. Our objective is to minimize the total relay transmit power under the constraints of secure transmission rate and energy harvesting requirements by jointly optimizing the beamforming matrix, artificial noise covariance matrix and PS ratios. For this non-convex problem, we propose a two-stage optimization approach to convert the original problem into two sub-problems. The first subproblem uses semidefinite relaxation (SDR) technique to transform the original problem into a convex problem, and then finds the optimal solution of the second subproblem through k-dimensional exhaustive search algorithm. Furthermore, we also propose a low complexity suboptimal solution scheme based on particle swarm optimization (PSO) algorithm. Simulation results show that the proposed scheme saves transmitting power and achieves better performance than other schemes.
Electrospinning of Flexible Conjugated Polymer Nanofibers with Efficient Luminescence and Electrical Conductivity
Authors: Chen Yani , Wang Jinjie , Zhang Shengdong
Published: August 2020

Herein, we have successfully applied direct electrospinning method to rigid copolymer F8T2. The electrospun F8T2 nanofibers exhibit high anisotropy, strong photosensitivity and remarkably improved luminescence and electrical conductivity compared to spin-coating analogue. Our work provides a promising avenue for flexible and high-quality display applications.
Overview of Electromagnetic Compatibility in Automotive Integrated Circuits
Authors: Zhang Jie , Zhang Xu , Kai Jiang Guo , Ming Liu Hai , Fan Yan
Published: August 2020

This article summarizes the current development situation of automotive integrated circuits, the origin of relevant domestic and foreign standards AEC Q100, IEC 61967, IEC 62132. In addition, this article introduces in detail the test methods of IEC 61967 and IEC 62132 standards, that is radiated emissions, radiated immunity, conducted emissions, conducted immunity, and gives a test block diagram of the relevant test methods. Finally, this article summarizes the status of domestic integrated circuit electromagnetic compatibility testing and standards
Content-sensitive warped filter equalization for loudspeaker systems
Authors: Wang Peng
Published: August 2020

The technique of frequency-warped filtering has been recommended as a promising solution to the problem of loudspeaker equalization. According to the characteristics of audio signal, this paper puts forward a method to improve the warping effect and thus the overall equalization effect, and the effectiveness of the proposed method is validated via computer simulations.
Design of DSSS communication teaching assistant system
Authors: Li M M , Dong L Y , Tang L L
Published: August 2020

Based on LabVIEW, the DSSS communication system under TCP/IP protocol is developed. It uses dual frequency USB wireless network card with a low price to build the wireless communication channel between PCS. The transmitter can generate spread spectrum signals with different time delays of different users’ data which could be used to simulate the multipath propagation in mobile communication. The receiver uses different m sequences with different time delays to despread the received signal. The system can display the time domain waveform comparison and power spectrum comparison before and after processing, as well as the bit error rate under different parameters. They play a very good role in theoretical analysis and verification. The use of teaching assistant system is conducive to improve students’ interest in study and design.
Design and Application of a Series and Parallel-summation Logarithmic Video Amplifier
Authors: Tao Dongxiang , Tang Jinyuan , Gao Wei
Published: August 2020

Starting with the concept of logarithmic video amplifier, this paper mainly derives the transfer functions of different logarithmic video amplifiers. The practical application of logarithmic video amplifier in the radar warning receiver is designed, and three pieces of conclusion about logarithmic video amplifier in RWR have been reached. Firstly, logarithmic transformation is completed for obtaining the azimuth information. Secondly, compressing the dynamic range is realized so that to the subsequent circuits signal processing becomes easier. Thirdly, the signal is amplified for improving the sensitivity of the receiver. A three-parallel-summation and single-series logarithmic video amplifier is used in a RWR so its direction finding precision is up to 8°, its dynamic range is up to 140dB, its sensitivity is up to -80dBm and its technique is in a higher level.
Road vehicles Cybersecurity system evaluation method
Authors: Shan Hao , He Kexun , Wang Baizheng , Fang Xiyu
Published: August 2020

With the continuous improvement of automobile intelligence and networking, automobile cybersecurity has gradually become the focus of attention from enterprises and research institutions. Whether it is domestic or international, there are many organizations and institutions on the Internet of vehicles cybersecurity is widely concerned, ISO 21434 road vehicle network security project, is an international automotive network security standard, which covers the entire life cycle of automotive products (from design to retirement), is currently in the development. From the perspective of ISO 21434 cybersecurity system requirements, this paper proposes an cybersecurity system evaluation method for automobile companies, in order to evaluate whether or to what extent each automobile company meets the cybersecurity status of ISO 21434 standard.
IC Microscopic Image Stitching Based on Improved Line Matching
Authors: Li Zhibin , Yin Yong
Published: August 2020

Integrated Circuit(IC) microscopic image stitching is an important process in IC reverse engineering. However, IC is highly integrated and miniaturized, with many similar structures and dense distribution, and the overlapping region of some IC microimages may be the low-texture region. As a result, the traditional image stitching method is prone to mismatch, and the stitching effect is poor. This paper proposes an IC microscopic image stitching method based on improved line matching. The method first extract line segments from two IC microscopic images to be stitched by using Edline algorithm. Secondly, the intersection of line segments is generated by using the position relation of line segments in a certain strategy. Then, combined with the 2D capture method of the IC microscopic image, we limit the matching region. Finally, image registration is completed by combining points and lines, and a transformation matrix is obtained to stitch IC microimages. Experimental results demonstrate that the proposed method reduces the possibility of mismatching in the stitching process while using the stable line features and the position constraints between line segments in IC microscopic images. Moreover, the image stitching guided by line features can also achieve good stitching results in low-texture IC micrograph.
Research and Design of Navigation Interference Source Positioning System Based on Unmanned Aerial Vehicle
Authors: Dou Xiaojing , Liu Jing , Zhao Huakai , Wang Wei
Published: August 2020

Global Satellite navigation systems are widely used for their wide coverage and low operating costs. However, due to the use of MEO, IGSO and GEO satellites, the signal power received in land is low and susceptible to interference. Therefore, in order to ensure the normal use of GNSS, it is necessary to carry out research on the detection and positioning of navigation interference sources. In view of the problems of the existing ground interference source positioning equipments, such as weak maneuverability, small coverage, and high environmental dependence, this paper presents a design of a navigation interference source positioning system based on unmanned aerial vehicle(UAV), and researches its key technologies such as UAV trajectory planning. By carrying a direction-finding load on the UAV, interference sources can be located in the air. It has the advantages of strong maneuverability, large coverage, low environmental dependence, etc. It can quickly locate the interference source and is suitable for use in mountains, jungles and cities.
Solar interference test for flame detectors based on natural lighting
Authors: Zhong Chen , Liu Sen , Wang Heqiao , Ding Hongjun
Published: August 2020

In order to evaluate the anti-interference performance of the flame detector applied to the environment with possible solar interference, the feasibility of standardized test method for solar interference of flame detectors is researched in this paper. According to the characteristics such as structure, use place and installation mode of flame detector, the radiation model and illuminance model of solar interference are constructed. Through statistical analysis of photo-climatic data of regional representative cities, the severity level of the solar interference that reflecting national lighting conditions is summarized and classified. On this basis, data analysis of natural lighting resources of 8 typical cities in China is carried out. Combined with natural lighting test schemes, the feasibility of the solar interference test for flame detectors is analyzed, and relevant conclusions are drawn.
Identity-Based Proxy Signing Key Insulated Signature in the Standard Model
Authors: Chen Jianhong
Published: August 2020

The first signer arranges for an agent to generate a proxy private key using an identity based proxy signature (IBPS) scheme. The agent outputs the proxy signature for the first signer can generate the signature for the original signer using the proxy private key. Because the potential problem of information security must be taken into account with the development of network technology, the proxy private key needed to be protected. We propose an identity-based proxy signing key-insulated proxy signature (IBPSKIPS) scheme to prevent the proxy private key from being exposed.
A Fusion Algorithm of Multi-model Pruning and Collaborative Distillation Learning
Authors: Liu Zihan , Shi Zhiguo
Published: August 2020

In order to improve the prediction performance, the complex depth network model needs a large number of calculation parameters, and the negative impact is the fact that it greatly increases the calculation time and energy consumption. In this paper, a fusion algorithm of model pruning and joint multi-model knowledge distillation learning is proposed. By constructing an adaptive joint learning loss function including distillation, multi-model training is carried out. This method can replace the training process of model fine-tuning after pruning. In this paper, firstly, multi classification tasks are carried out on different model structures and data sets, and a complex network model with good effect is trained as a teacher’s model. Then, the channel pruning process of random pruning degree is executed to generate multiple student models. Finally, the accuracy of multiple student models is improved by using this method. The experimental results show that this method effectively improves the accuracy of each model after pruning, and the experimental results achieve a suitable balance between model performance and accuracy.
Establishment of sports health model for college students based big data
Authors: Jingjing Shen , Hangqi Jang , Jingjing Zhang
Published: August 2020

In recent years, China’s science and technology has developed rapidly. The coverage of communication networks is gradually expanding. This article understands the basic health status of college students through big data statistics. Excessive reliance on the Internet and electronic products make many college students unwilling to leave the dormitory and step into the playground to exercise. This article establishes a sports health model based on the health status of female college students, and provides design basis for later college student health model system according to the model. It takes weight as a measurement standard, and analyzes from the aspects of calorie absorption and consumption. Then it can get the required value through programming. Under the premise of not harming the body, the article makes a reasonable exercise plan for college students by controlling calories absorbed, exercise methods and exercise time per week. It aims to achieve the goal of reducing weight and maintaining physical health.
Comparison on the Security of Biometrics
Authors: Ye Huichao , Pei Roy , Mo Zongyin , Zheng Qingmin , Chen Huanzhong
Published: August 2020

With the increasing requirements for public safety in modern society, the traditional authentication method is far from meeting the needs of protecting human safety. The biological features represented by human face, iris, veins, voiceprint, etc. play an increasingly important role in identity recognition, and are relatively found and get more attention. This article compares the advantages and disadvantages of the three biometric recognition technologies of human face, iris and vein, compares the security of each biometric recognition technology and makes a prospect of the biometric recognition technology.
A Survey of Multimodal Fusion for Identity Verification
Authors: Li Yongmin , Li Guanyu , Li Pengqi , Li Sixuan , Yuan Xinyu , Liu Ding , Yang Xuebin
Published: August 2020

With the rapid development of computer and network technology, the digitization and invisibility of people’s identities have become an important feature of today’s highly informationized society. This article introduces the knowledge of multimodal fusion, and lists some commonly used multimodal fusion techniques in the field of identity verification, and puts forward some prospects for the future multimodal fusion identity verification.
Resistive anisotropy of candidate excitonic insulator Ta2NiSe5 under pressure
Authors: Arima H , Naito Y , Kudo K , Katayama N , Sawa H , Nohara M , Lu Y F , Kitagawa K , Takagi H , Uwatoko Y , Matsubayashi K
Published: August 2020

We have measured anisotropic electrical resistivity of quasi-one-dimensional Ta2NiSe5 single crystals under pressure. While the in-plane anisotropy is almost pressure independent, the inter-plane one greatly decreases at P
c
∼ 3 GPa accompanied by a pressure-induced semiconductor-semimetal transition. Nevertheless, a similar anomaly in the temperature dependence of in-plane anisotropy has been observed in each phase. This anomaly in the low-pressure phase below P
c is regarded as an excitonic transition, and thus both of these anomalies are suppressed with increasing pressure. These results suggest that the suppression of the excitonic binding energy with pressure is caused by the increase of free carrier densities and the inter-plane conductivity.
Stability of methane hydrate at high-pressure and high-temperature of up to 40 GPa and 573 K
Authors: Kadobayashi Hirokazu , Ohfuji Hiroaki , Hirai Hisako , Ohtake Michika , Yamamoto Yoshitaka
Published: August 2020

High-pressure and high-temperature experiments were performed to investigate the stability of methane hydrate under 6–40 GPa and 298–573 K using synchrotron X-ray powder diffraction in combination with a diamond anvil cell. The results thus obtained revealed that methane hydrate decomposes into solid methane and ice VII at temperatures considerably lower than the melting curves of solid methane and ice VII in the pressure range of 6–40 GPa.
The pressure-dependence of the band gap of tellurium
Authors: Oliveira J F , Enderlein C , Fontes M B , Baggio-Saitovitch E
Published: August 2020

Elemental tellurium is a semiconductor with a small band gap of around 330 meV. Under the application of hydrostatic pressure, the band gap narrows, and it has been suggested that below its crystal phase transition at 40 kbar, the gap might close, leading to a transition into a topologically non-trivial state. Here, we present a pressure dependent study of the gap size of tellurium up to 22kbar, studied by temperature dependent electrical transport. We identify the gap size to be still well above 100 meV at our maximum pressure. Extrapolation of our data, assuming a non-linear gap narrowing (in agreement with previous studies), leaves us to assume that the gap does not close within the ambient pressure crystal phase. However, when assuming a linear narrowing of the gap, we leave a small possibility that there exists a minor pressure window at which a topological phase transition could occur. Furthermore, as the second systematic study of the gap size via transport, we see that historical inconsistencies between the measured gap size via transport and the measured optical gap size seem to be systematic and probably reflect some deeper physics of the material.
Preliminary Overview of the Extreme Condition Beamline (EMA) at the new Brazilian Synchrotron Source (Sirius)
Authors: dos Reis R D , Kaneko U F , Francisco B A , Fonseca Jr. J , Eleoterio M A S , Souza-Neto N M
Published: August 2020

Experimentally achieving extreme thermodynamical conditions of temperature, pressure and magnetic field such as the ones found in the interior of planets and stars has been a dream to many scientists seeking to reproduce those conditions on earth to study and produce unconventional materials. The advent of the 4th generation Brazilian synchrotron source (named after the “Sirius” star) allows us to get closer to this dream by implementing a state-of-the-art beamline facility to study samples under extreme thermodynamical conditions by means of a multitude of synchrotron x-ray techniques. The EMA Beamline (Extreme condition Methods of Analysis) will be able to do this by coupling both microfocus (1x1 µm2) and nanofocus (100x100 nm2) beamsizes to x-ray magnetic spectroscopy, x-ray diffraction and x-ray coherent imaging in multiple experimental instruments, placed along the beam path for optimization. Support laboratories (thermodynamical conditions, nuclear materials, laser and optics) were also planned to fulfil all requirements for the experiments under extreme. The EMA beamline, as overviewed here, should open a plethora of opportunities for diverse studies of materials at extreme conditions with synchrotron x-ray techniques.
Assessment of nitrogen hotspots induced by cropping systems in the Bohai Rim region in China by integrating DNDC modelling and the reactive nitrogen spatial intensity (NrSI) framework
Authors: Wang Qingmei , Liang Xia , Wang Yingchun , Wang Ligang , Mosier Arvin R , Chen Deli
Published: August 2020

More than half of nitrogen (N) inputs to cropland are lost to the environment via denitrification, ammonia (NH3) volatilization, nitrate leaching and surface runoff. Cropping systems are, therefore, a large contributor to reactive N (Nr, all species of N except N2) losses. The Nr spatial intensity (NrSI) framework was developed to quantify the environmental burdens due to Nr losses on a per area basis. However, the current application of the NrSI framework is limited by the development of virtual N factors (VNFs, Nr released to the environment per unit of Nr consumed) for agricultural products and it could not differentiate pathways of Nr losses linked to consequences in various environmental media. As the Denitrification-Decomposition (DNDC) model is capable of tracking N fluxes across cropping systems and regions, we integrated the DNDC model and the NrSI framework to identify hotspots of Nr losses induced by cropping systems, and illustrate the approach with a case study for the Bohai Rim region (BR) in China. Altogether 29 types of cropping systems (i.e. 16 mono, 10 double and 3 triple cropping systems) in 429 counties were simulated for the N balance, Nr losses and the NrSI associated with crop production. Regarding the total Nr losses in the BR, 45% of the total N input was lost to the environment during crop production with NH3 volatilization and nitrate leaching the two main pathways, making up 24% and 19% of the total N input, respectively. Shandong province was the biggest contributor of the total Nr losses (45.6%) among regions, and winter wheat-summer maize, triple vegetable and spring maize cropping systems were the top three contributors among various cropping systems. For Nr loss hotspots, there are substantial variations of NrSI across cropping systems (41–1024 kg N ha−1 y−1) and counties (28–4782 kg N ha−1 y−1). Beijing had the highest NrSI associated with crop production (307 kg N ha−1 y−1) among regions, and vegetable systems had the highest NrSI of 355 kg N ha−1 y−1 among cropping systems. The application of this integrated method is useful to identify areas and/or cropping systems with particularly high Nr losses and NrSI to provide basic information for setting Nr mitigation priorities on a wide range of regions and cropping systems.
Two constructive proofs on d-majorization and thermo-majorization
Authors: Shiraishi Naoto
Published: August 2020

Two constructive proofs on d-majorization and thermo-majorization are provided. In the first part, we present a diagrammatic proof of the equivalence between d-majorization and the existence of a proper stochastic matrix. We explicitly construct the desired stochastic matrix by using a graphical argument. In the second part, we present a constructive proof of the equivalence between the Gibbs-preserving map and thermal operation in classical systems. We construct the desired thermal operation and a heat bath which emulates any Gibbs-preserving map with arbitrary accuracy.
Challenges in initiating Tarsius fuscus’ creative ecotourism at Bantimurung Bulusaraung National Park
Authors: P Putri I A S L
Published: August 2020

Tarsius fuscus (tarsier) has a high potential to be developed as a tourism attraction at Bantimurung Bulusaraung National Park (Babul NP). This study aims to identify challenges in developing sustainable tourism of Tarsius fuscus. Surveys, interviews, and documentation methods were employed in collecting data. Data were analyzed quantitatively and by using descriptive analysis, potential tourism analysis, internal factor and external factor evaluation analysis, and the strengths, weaknesses, opportunities, and threats (SWOT) analysis. Babul NP has potential resources that can be used to enhance tourism, such as Tarsius fuscus that serves as the main attraction, its habitat’ beautiful panorama, and local communities who can play a role in tourism. Nevertheless, the initiation and development of tarsier tourism face difficulties because infrastructure is limited, it is not a primary program of the management, tarsiers are not popular among tourists, and promotion is limited. It requires management effort and great advertising. It also needs to use all of the potency, especially using abandoned potency such as culture and tradition of the local community. It opens the opportunity of tourists to involve actively (co-creation) in tourism. This strategy to initiate and develop this tourism will form a new model and innovation of tourism, namely Tarsius fuscus creative eco-tourism.
Farmer’s socio-economic characteristics and financial feasibility analysis of three pepper (Piper nigrum L.) farming patterns in Southeast Sulawesi
Authors: Fauziyah E , Suhaendah E , Manurung G S
Published: August 2020

This study aims to examine farmer’s socio-economic characteristics and pepper farming analysis on several pepper management patterns. This study was conducted in Lawonua Village, South Konawe District, and Simbune Village, East Kolaka District, Southeast Sulawesi Province, in June 2014 and November 2015. Data were collected through a survey method using open-ended and semi-structured questionnaire interviews, in-depth interviews, and Focus Group Discussion (FGD). Data were analyzed using qualitative descriptive and financial analysis, such as NPV, BCR, and IRR. The results showed that most income of the community in Simbune and Lawonua Village is from pepper farming activity. The respondents were dominated by men, where most of them are Tolaki Tribe, with average age ranges from 30-50 years old. Education level was dominated by junior and senior high school, and most of the respondents have more than ten years of pepper farming experience. The analysis showed that all pepper pattern management was feasible. The results indicated that the first pattern of monoculture pepper farming provided the highest NPV IDR 379,175,999 (IDR/rotation), and the second-highest was pepper farming with cocoa, which provided the highest BCR values (2.75). While the third was agroforestry pepper patterns with pepper, cocoa,durian, andlangsatthat had the highest IRR value of 33%. The pepper with the cocoa farming pattern was generally carried out by farmers who have enough capital. While pepper farming in the agroforestry pattern was mostly chosen due to its consideration to provide more security for family income.
Value of vegetation diversity for indigenous (Adat) community of Kasepuhan Karang
Authors: Hidayat D C , Surati  , Sakuntaladewi N , Sylviani  , Ariawan K
Published: August 2020

The indigenous community of Kasepuhan Karang has legal authority to manage a 486 ha forest area in Gunung Halimun Salak National Park (GHSNP) as a customary forest. As 95% of the customary forest is located in the conservation area of the GHSNP, the Kasepuhan Karang community is responsible for conserving and utilizing forest resources sustainably. Due to the diverse landscape, biodiversity, and their ecological function of the area as well as the necessity to increase community welfare, managing customary forest is challenging. The scientific information on vegetation diversity, proportion, and its compatibility to the landscape characteristic and function will assist the customary leader(s) to apply proper strategies based on ecological and economic benefits. This study was aimed to calculate the economic benefits of the forest for the community and identify the compatible commercial crops that meet with the ecology of the customary forest. The research was conducted in Jagaraksa village of Lebak District, Banten Province, during the period from April to November 2018. The data analysis used was descriptive analysis and market prices. The highest value of economic benefits was obtained from plantation crops, with a benefit value per unit of above IDR 10 million/unit, namely petai (Parkia speciosa), jengkol (Archidendron pauciflorum), coffee (Coffea sp) and sugar palm (Arenga pinnata). Thus, these four species are highly recommended to be cultivated by the Kasepuhan Karang community.
Leaf nutrient status as a predictor for Mahogany (Swietenia sp.) fruit productivity
Authors: Pujiastuti E , Pramono A A , Putri K P , Syamsuwida D , Djam’an D F
Published: August 2020

Soil fertility is one of the limiting factors for tree productivity. Trees as seed sources that have grown in low-fertility soil would not have sufficient edaphic supports for its physiological- and morphological- development, including fruit production. As the ambient environmental conditions are manifested in tree physiology, leaf nutrition status can be used for diagnosing soil fertility. This study aimed to test the possibility of leaf nutrient status as a predictor for Mahogany seed source productivity. The study examined six locations of mahogany fruit productions in West Java from February until December 2018. Soil and leaves samples were collected from fruiting and un-fruiting Mahogany trees, which have similar levels of generative and vegetative phases. Sampling was conducted two months after the fruiting season. Results showed that the fruiting phenomenon was highly correlated with Nitrogen (N) concentration in leaves after the fruiting phase of the tree. The N-total concentration of mahogany leaves obtained from six stands in Bogor and Cianjur were ranged from 1.76% to 3.66%, with an average of 2.33%. Trees that have N concentration above the average indicated a propensity of unproductive (not fruiting) in that year.