bluuebunny/crossref_metadata_2025 huggingface dataset:
Effects of using a mobile health application on the health conditions of patients with arterial hypertension: A pilot trial in the context of Brazil’s Family Health Strategy
Authors: Debon Raquel , Bellei Ericles Andrei , Biduski Daiana , Volpi Simiane Salete , Alves Ana Luisa Sant’Anna , Portella Marilene Rodrigues , De Marchi Ana Carolina Bertoletti
Published: April 2020

Brazil’s Family Health Strategy (FHS) leads public health policies and actions regarding community health, addressing arterial hypertension (AH) in primary care settings. In this scenario, the use of communication technologies becomes appropriate for the monitoring of patients with AH. To preliminary verify the intervention approach and the effects of using an m-Health application on the health conditions of patients with AH for a future study, we conducted a non-randomized, controlled, non-blind trial (N = 39), comparing the use of a mobile health app (m-Health) with conventional AH monitoring over 3 months. During the study, we promoted health information workshops to engage patients from both intervention and control groups. Pre and post-intervention, we compared measurements of systolic and diastolic blood pressure; food frequency questionnaire; Appraisal of Self-Care Agency Scale; blood tests of hemogram, creatinine, uric acid, sodium, potassium, lipid profile, and glycemia. Improvements were identified in both groups due to the workshops, including the reduction in total and non-HDL cholesterol, healthier consumption of salads and sugary drinks, and increased self-care scores. Exclusively in the intervention group, which used the m-Health app, there was a change in systolic and diastolic pressure towards more adequate levels. In addition, the intervention group had improved levels of glucose and HDL cholesterol and reduced consumption of ultra-processed foods. In conclusion, the use of an m-Health app had positive effects on the health conditions of patients with AH under treatment within FHS, especially when combined with health information. On the context of FHS, the use of technology is encouraging supporting better health conditions.
A Microfluidic Platform to design Multimodal PEG - crosslinked Hyaluronic Acid Nanoparticles (PEG-cHANPs) for diagnostic applications
Authors: Tammaro Olimpia , Costagliola di Polidoro Angela , Romano Eugenia , Netti Paolo Antonio , Torino Enza
Published: April 2020

The combination of different imaging modalities can allow obtaining simultaneously morphological and functional information providing a more accurate diagnosis. This advancement can be reached through the use of multimodal tracers, and nanotechnology-based solutions allow the simultaneous delivery of different diagnostic compounds moving a step towards their safe administration for multimodal imaging acquisition. Among different processes, nanoprecipitation is a consolidate method for the production of nanoparticles and its implementation in microfluidics can further improve the control over final product features accelerating its potential clinical translation. A Hydrodynamic Flow Focusing (HFF) approach is proposed to produce through a ONE-STEP process Multimodal Pegylated crosslinked Hyaluronic Acid NanoParticles (PEG-cHANPs). A monodisperse population of NPs with an average size of 140 nm is produced and Gd-DTPA and ATTO488 compounds are co-encapsulated, simultaneously. The results showed that the obtained multimodal nanoparticle could work as MRI/Optical imaging probe. Furthermore, under the Hydrodenticity effect, a boosting of the T1 values with respect to free Gd-DTPA is preserved.
Number of galloyl moieties and molecular flexibility are both important in alpha-amylase inhibition by galloyl-based polyphenols
Authors: Cao Junwei , Zhang Yao , Han Lin , Zhang Shanbo , Duan Xuchang , Sun Lijun , Wang Min
Published: April 2020

The inhibition of porcine pancreatic α-amylase (PPA) by 9 galloyl-based polyphenols was evaluatedviainitial digestion velocity, IC50, inhibition kinetics, fluorescence quenching and molecular docking studies.
Flavonoids isolated from loquat (Eriobotrya japonica) leaves inhibit oxidative stress and inflammation induced by cigarette smoke in COPD mice: the role of TRPV1 signaling pathways
Authors: Jian Tunyu , Chen Jian , Ding Xiaoqin , Lv Han , Li Jiawei , Wu Yuexian , Ren Bingru , Tong Bei , Zuo Yuanyuan , Su Kelei , Li Weilin
Published: April 2020

Total flavonoids isolated from loquat leaves inhibit inflammation and oxidative stress by regulating TRPV1 and the related pathway in cigarette smoke-induced COPD mice.
Enhanced chemical sensing for Cu2+ based on composites of ZIF-8 with small molecules
Authors: Zhang Jun , Zhao Xiuyang , Liu Xuefeng , Dong Chuan
Published: April 2020

An enhanced chemical sensor was designed by introducing small molecules into ZIF-8 for the specific recognition of Cu2+.
High iodine adsorption performances under off-gas conditions by bismuth-modified ZnAl-LDH layered double hydroxide
Authors: Dinh Trinh Dinh , Zhang Dongxiang , Tuan Vu Ngoc
Published: April 2020

The effective adsorption of radioactive iodine is greatly desirable, but is still a significant challenge.
Microneedles: a potential strategy in transdermal delivery and application in the management of psoriasis
Authors: Zhao Zihan , Chen Youdong , Shi Yuling
Published: April 2020

Microneedles, as an updating approach delivering compounds through the skin, is potential in the management of psoriasis.
Identification of benzothiazones containing a hexahydropyrrolo[3,4-c]pyrrol moiety as antitubercular agents against MDR-MTB
Authors: Ma Xican , Han Bing , Wang Aoyu , Yang Lu , Huang Menghao , Chowdhury Kushan , Gu Jian , Zhang Kai , Lv Kai
Published: April 2020

IMB1603, a spiro-benzothiazone compound discovered by our lab, displayed potent anti-MTB activity in vitro and in vivo. In this study, benzothiazones containing a hexahydropyrrolo[3,4-c]pyrrol moiety were synthesized and evaluated based on IMB1603.
Synthesis of novel carbohydrate based pyridinium ionic liquids and cytotoxicity of ionic liquids for mammalian cells
Authors: Reiß Melanie , Brietzke Andreas , Eickner Thomas , Stein Florian , Villinger Alexander , Vogel Christian , Kragl Udo , Jopp Stefan
Published: April 2020

The large pool of naturally occurring carbohydrates with their diversity in chirality and structure led to the idea of a systematic investigation of carbohydrate based ILs.
Ternary selenides A2Sb4Se8 (A = K, Rb and Cs) as an n-type thermoelectric material with high power factor and low lattice thermal conductivity: importance of the conformationally flexible Sb–Se–Se–Sb bridges
Authors: Lee Changhoon , Kim Sujee , Son Won-Joon , Shim Ji-Hoon , Whangbo Myung-Hwan
Published: April 2020

The ternary selenides A2Sb4Se8 (A = K, Rb, Cs) are predicted to be a high-performance n-type thermoelectric material, and the conformationally-flexible Sb–Se(2)–Se(2)–Sb bridges are crucial in determining the thermoelectric properties of A2Sb4Se8.
Performance Analysis of a PEM Fuel Cell Stack Having 150 cm2 Active Layer by Using Design of Experiments (DOE)
Authors: Eker Kahveci Elif , Taymaz Imdat
Published: April 2020

In this study, the effects of operating parameters on power density of a 3-cell PEMFC (Polymer Electrolyte Membrane Fuel Cell) stack with serpentine flow channels having 150 cm2 total active layer have been examined experimentally. Desing Expert, which is the experimental design program (trial version) was used, and the data obtained as a result of the experiments were analyzed by entering this program. A total of 25 experiments were carried out according to the design created with the data entered into the program within the specified operating conditions range. The independent variables were entered which are cell temperature, humidification temperature, H2 flow rate and O2 flow rate, and the response is the power density. In this study, the hydrophobic cell stack which has the highest cell performance of which was previous studies results was used. In the optimization study, keeping the power density and maximum H2 flow to a minimum, the most suitable values are cell temperature 57.826°C, humidification temperature 56.151°C, O2 flow 1.587 L/min. Finally 432.398 mW/cm2 power density value was obtained under these operating conditions.
Physiotherapie bei erwachsenen Patienten mit Verdacht oder Nachweis von
COVID-19 an der Charité Universitätsmedizin Berlin
Authors: Reißhauer Anett , Baack Angelika , Liebl Max Emanuel
Published: April 2020

Einleitung

Die physikalisch-therapeutische Versorgung von Patienten im Rahmen der aktuellen
Corona-Pandemie ist auch für die Physikalische Medizin eine neue
Erfahrung.(Tab. 1)
Efficient FDTD-PE Method for GNSS Propagation in Airport to Support DCPS
Authors: Liu Jing , Ye Jiaquan , Yang Ping , Yang Xiaojia , Yang Zhengbo
Published: April 2020

To support Differentially Corrected Positioning Service (DCPS) in airport, the Global Navigation Satellite System (GNSS) receiver’s anti-multipath ability should be validated carefully to airport environment. This paper discusses the quantification of GNSS signal characteristics in airport based on Finite Difference Time Domain-Parabolic Equation (FDTD-PE) method. The proposed method can deal with complex environment with different objects and large scale clear space of airport efficiently. An equivalent process is introduced to deal with the problem of non-uniform sampling grid. By comparing with FDTD method, the validation of this method is proved. The simulation results demonstrate the effectiveness and accuracy of this method for predicting the GNSS signal propagation in airport environment.
Design and Implementation of Indoor Positioning System using Bluetooth Low Energy
Authors: Hu Xianfeng , Yu Kun-Ming , Chuang Ken H. , Hsu Huan-Po , Liu Chung-Hsing , Tung Shang-Wei , Chen Yen-Chiu , Lei Ming-Yuan , Tsai Nancy
Published: April 2020

Most of the positioning systems nowadays require GPS. In indoor environments, however, GPS signals cannot be received properly due to the obstructions of the walls in the building. Therefore, other techniques such as RFID, Zigbee, WIFI or Bluetooth, are used based on the power loss, cost, or transmission range considerations. Our study, conducted at the AI+ Experience Center of Chung Hua University, adopts Bluetooth 5.0-based equipment and uses the received signal strength indication (RSSI) and triangulation method to perform indoor positioning. Our results show that Bluetooth positioning is more accurate in the sense that when the distance is within 1∼3 meters, the error with the actual position is about 1 meter, which is more accurate than the RFID or WIFI positioning with the error of 2∼3 meters.
Physical Layer Security Increased by Perfect Scrambling in COFDM Multipath Fading Transmission Systems
Authors: Gao Baojian , Zhang Yucheng , Liu Qiang , Liu Xingyuan
Published: April 2020

With the deeper research on the theory of physical layer security, the method of reducing the security gap through information scrambling has received extensive attention. This method can lower the security gap of the wireless communication systems, thereby reducing the implementation cost of physical layer security. In this paper, a more rigorous definition of perfect scrambling and the complete conditions which should be satisfied by perfect scrambling matrix are presented. On this basis, we proved that with the increase of the size of the perfect scrambling matrix, the perfect scrambling can be asymptotically achieved, and the 0dB security gap can be asymptotically achieved for systems with closed-form expression of bit error rate. Finally, in this paper, a COFDM multi-channel secure transmission scheme is presented by apply perfect information scrambling to the LDPC-OFDM system. Security gaps of the scheme under Gaussian channel and multipath fading channel are simulated, and obtains good results. Our analysis indicates that in the multipath transmission and multipath fading environment, the security gap close to 0dB can be achieved by combining information perfect scrambling and error correction coding with good performance.
Link Budget Estimation and Implementation on Power Private Wireless Data Network
Authors: Wang Haiyang , Zhang Yong , Sun Haipeng
Published: April 2020

A link budget estimated scheme on wireless data network is introduced in this paper. The wireless propagation model for 230MHz frequency band and 1800MHz frequency band was analysed. Through Matlab GUI, a visual link budget estimated software was implemented. Results show that the estimation data coincides with the actual measured results. The link budget method and the estimated software could be employed in planning the wide coverage and large connection wireless network and 5G new radio network in the future.
Fractional Order Control of LCL Hybrid Resonant Electric-field Coupled Power Transfer System
Authors: Tang Yun , Xiong Hejin , Zhou Gaohan
Published: April 2020

Based on the transmission stability of LCL composite resonant Electric-field Coupled Power Transfer (ECPT) system, according to the voltage gain topology circuit model, the closed-loop control system model is established, and the control method based on PID and Fractional Order PID is proposed. By comparing the waveforms of the two control methods in the case of closed-loop, disturbance and impulse disturbance, a control method which makes the LCL type ECPT system have high response speed, strong robustness and strong anti-interference ability is obtained.
Application of Fractional order PID Control in Photovoltaic Integrated Distribution Network
Authors: Tang Rongjiang , Xiong Hejin , Zhang Zixi
Published: April 2020

When photovoltaic power generation is connected to the grid, the inverter merges the energy of the photovoltaic panel into the grid in the form of power, and the controller is required to control the DC side voltage after comparing with the maximum power tracking voltage of the photovoltaic system and tracking the DC side voltage. Based on the application of traditional PID control in the photovoltaic power generation system, we use fractional order PID to compare with it. Finally, simulation analysis verifies that fractional order PID has better dynamic and static characteristics, adaptability and robustness.
Batik-DG: Improved DeblurGAN for Batik Crack Pattern Generation
Authors: Huang Yiyang , Su Jianxia , Wang Jianming , Ji Shuaifei
Published: April 2020

As a traditional handcraft in China, batik is valuable for both decoration and fashion design due to its unique crack pattern. However, previous researches on batik crack pattern generation remain space in promoting verisimilitude. In recent years, Generative Adversarial Networks (GAN) show great ability in realistic image generation, and DeblurGAN performs well in image deblurring task, showing good potentiality in image generation. In this paper, we improve DeblurGAN for batik crack pattern generation by several methods. First, transposed convolution is replaced with resize-convolution. Second, Hybrid Dilated Convolution (HDC) is added to the network. Third, RaLSGAN is utilized instead of WGAN-GP, and several additional loss functions such as L1, L2 and so forth are tested respectively. Our network is trained on BIFT-Batik dataset and performs well to some degrees both in visual verisimilitude and IQA indexes including PSNR and SSIM. We name our network as Batik-DG (Batik-DeblurGAN).
A Human Dimension of Hacking: Social Engineering through Social Media
Authors: Wilcox Heidi , Bhattacharya Maumita
Published: April 2020

Social engineering through social media channels targeting organizational employees is emerging as one of the most challenging information security threats. Social engineering defies traditional security efforts due to the method of attack relying on human naiveté or error. The vast amount of information now made available to social engineers through online social networks is facilitating methods of attack which rely on some form of human error to enable infiltration into company networks. While, paramount to organisational information security objectives is the introduction of relevant comprehensive policy and guideline, perspectives and practices vary from global region to region. This paper identifies such regional variations and then presents a detailed investigation on information security outlooks and practices, surrounding social media, in Australian organisations (both public and private). Results detected disparate views and practices, suggesting further work is needed to achieve effective protection against security threats arsing due to social media adoption.
Universal Application of Landscape Architecture Based on Computer Aided Design
Authors: Cheng Jinxia , Yu Li , Xiong Yanqun
Published: April 2020

The universal application of landscape architecture is a comprehensive review in its industrial contents from the perspective of the whole people. It horizontally expanded the traditional objects of landscape architecture from the top national planning, government projects and related estates level to the concern of the whole mass people and the society, involving cities, villages, towns, suburbs, intercity and other areas, deep integrating the human design and natural environment, unifying local design and overall planning, linking conceptual design with actual effects, integrating those core fields such as design, computer application science, landscape architecture, urban and rural planning, in order to achieve co-prosperity between man and the nature.
Predict Individual Retweet Behavior Based on Multi-feature
Authors: Wang Chunjia , Fan Yongquan , Du Yajun , Sun Zefen
Published: April 2020

With the rapid development of social media, more and more people get information from social media. The retweet prediction task helps to study the process of information dissemination on social media. Previous methods take into account text features and ignore user’s sentiments and interests. The history tweets tweeted by the user not only reflect the user’s sentiments that the user tends to express on social media, but also shows the user’s interests. In this work, we used a deep learning method to extract features from user profiles, user history, user network, target tweet, then we used these features to predict whether a tweet will be retweeted by a user. Experimental results on dataset show that the proposed model can effectively predict the retweet behavior of users.
A Tentative Idea of Virtual Simulation Experiment of FOF Based on Blockchain
Authors: Xu Feng , He Dawei , Guan Chengtian
Published: April 2020

With the modernization of education, National Virtual Simulation Experimental Teaching Project has become an important measure to reform the existed teaching method. This paper proposes and expounds a tentative idea of virtual simulation experiment of FOF. Firstly, it introduces this experiment’s necessity, lists its core elements, and analyses its advantages and competitiveness. And then it explains experiment’s principles and lists operation steps. Finally, it illustrates anticipated outcomes of the experiment and makes the summary of this experiment’s advantages and prospects.
Differential Evolution Algorithm Based on Sort Mutation Operation for Vehicle Routing Problem with Time Windows
Authors: Song Xiaoyu , Wu Yan , Zhao Ming
Published: April 2020

In order to solve vehicle routing problem with time windows, a new sort-based differential evolution algorithm is proposed in this paper. First, Pareto dominates the idea to perform dual-objective optimization and natural number encoding to reflect the order of solutions; at the same time, in order to balance the global exploration and local development capabilities of the algorithm, a new sort-based mutation operation DE/sort/1 is proposed And adopts an innovative dual-strategy evolutionary method based on Pareto frontier selection, and chooses different crossover operations during the crossover process. Finally, this paper uses the standard Solomon test set. Experimental results show that the algorithm is an effective method for solving the vehicle routing problem with time windows.
On Cauchy´s Interlacing Theorem and the Stability of an Aggregation -type Epidemic Model
Authors: De La Sen M.
Published: April 2020

Some convergence results are applied to a dynamic discrete system which is built by aggregation of discrete dynamic subsystems subject to linear output feedback control. Since we are dealing with physical systems, it turns out that the formalism can be developed by invoking conditions related to real symmetric systems rather than to complex Hermitian ones when necessary. It would suffice to describe the state by expressing the matrix of dynamics in the real canonical form and to transform accordingly the control and output matrices by the appropriate similarity transformation. The results are shown to be of usefulness for the analysis of discrete aggregation- type epidemic models.
Nonlinear Aeroelastic Responses of an Airfoil with a Control Surface by Precise Integration Method
Authors: Huang Xiwen , Xie Suxin , Zhang Yunping , Chen Yanmao
Published: April 2020

This paper presents a highly accurate algorithm, based on precise integration method (PIM), to investigate the aeroelastic system of an airfoil with control surface. The nonlinear system is separated as linear sub-systems, which are solved by PIM stepwise. During each step, a predictor-corrector algorithm is proposed to detect switching points between sub-systems. Numerical examples show that, the presented algorithm is much more accurate and efficient than the widely-used Runge-Kutta method. Sometimes, the Runge-Kutta method even provides false results. With such high precision and efficiency, the presented algorithm has the potential to become a benchmark for comparison in solving piecewise-smooth dynamical systems.
Creep Buckling Analysis on Petroleum Furnace Tube Subjected to High Temperature Loading Based on ABAQUS
Authors: Yang Peng , Liang Haofeng , Zhou Jiahui , Sun Jie , Shi Chenyu , Xue Jianghong
Published: April 2020

This paper presents a finite element methods to simulate creep buckling phenomenon of petroleum furnace tube under external pressure with the petroleum furnace tube subjected to high temperature loading as the research object. In this paper the furnace tube is predigested as a finite-length cylindrical shell simply supported at both ends. Based on creep aging theory, considering the effect of temperature and service time on the material performance of petroleum furnace tube, the creep buckling ultimate load is acquired from eigenvalue buckling analysis by selecting linear perturbation buckling step. Parametric analyses and buckling analysis are conducted to investigate the effect of length-radius ratio, radius-thickness ratio and temperature on the creep buckling ultimate load of cylindrical shell. Finally, the finite element predictions are obtained and are compared with Mises results. It is found that they are in good agreement, validating the finite element simulation.
Analysis of Bus Line Passenger Flow Based on Big Data—A Case Study of Guangzhou Bus Line
Authors: Ma Yingqi , Yin Weichuan
Published: April 2020

The passenger flow analysis which is based on the public transport passenger travel data could provide an important reference for the urban transit network planning and layout optimization. 8,926,605 smart card records of Guangzhou bus lines from August to December in 2014 and weather data have already been collected. Ali cloud computing technology is used to process the big data and analyze passenger flow characteristics. The test between Ali cloud computing technology and traditional SQL database technology has been made. K-means algorithm is utilized to cluster the passenger travel frequency, and the structure of the passenger travel type is gained. The results show that the seasonal weather have some influence on passenger flow each month, and the group of older residents is higher than the group of students in travel frequency. The travel frequency of passengers in low level accounts for more than 80%. Cloud computing technology is used to deal with the such big data, which has a good adaptability.
Model Study on the Impact of Petroleum Hydrocarbons and Suspended Solids on a Marine Ecosystem
Authors: Liu Hao , Zhang Zhikang , Yin Baoshu
Published: April 2020

A Nutrient-Phytoplankton-Zooplankton-Detritus (NPZD) type of model is developed, and coupled to a three-dimensional ocean circulation model (POM) to simulate the annual cycle of the biogenic elements in a marine ecosystem. The impact of petroleum hydrocarbons and suspended solids are also examined. A series of numerical experiments are conducted to investigate how the marine ecosystem responds to the concentration variation of petroleum hydrocarbons and suspended solids in the sea waters. It is found that as the concentration of suspended solids increases, the diatom bloom occurs for a long time, and meanwhile the dinoflagellate bloom is significantly weakened. As a consequence, the total phytoplankton biomass decreases and the nutrient concentration increase in the water column. Contrary to the SS situation, as the concentration of petroleum hydrocarbons changes, the algae biomass and the nutrient concentration don’t show the obvious differences in the water column.
A New Playing Method of the Guessing Football Lottery
Authors: Liu Shunqi , Wang Yuxin , He Hong
Published: April 2020

This paper analyzes the impact of sports lottery buyers’ opinions on the prediction of sports lottery and betting behavior, and designs a new “sky ladder” strategy. This strategy improves the existing playing methods in both amusement and flexibility. The author discusses the feasibility of the new strategy and its final influence over lottery companies and lottery buyers, simulates and predicts the effects of the brand-new strategy based on BP and LSTM neural network algorithms, and works out a series of simulation results that show the risks of the new playing method are well controlled.
Image Denoising Algorithm Based on Local Adaptive Nonlinear Response Diffusion
Authors: Xing Yuanxiu , Yu Jiwu , Zhang Fan , Gong Yicheng
Published: April 2020

We describe an image denoising algorithm to improve the denoising performance and the time efficiency, while keeping the edge texture of the image from being blurred. First, the algorithm discriminates the pixel whether is an edge pixel or a noise pixel according to the similarity region values of the neighborhoods, and calculates the adaptive diffusion coefficients to construct an adaptive influence function, which can control the noise and the edges to have different diffusion speeds. Then, a 5-layer feedback convolution network with 16 small filters in each layer generates the reconstructed image through convolution, diffusion and deconvolution. Last, the algorithm uses multiple noise levels training sets to train and optimize the network parameters, and generates the finial image denoising model. The experimental results show that the proposed algorithm using adaptive diffusion coefficients can maintain the edges and the smaller filter can improve the time efficiency. The algorithm also has higher denoising accuracy for images with unknown noise level by training on multiple-noise-level training sets.
Modeling and Characteristic Analysis of Manufacturing Enterprise Collaboration Network for Complex Product
Authors: Jia Yan , Li Jinhang
Published: April 2020

In order to meet the requirements of customers for complex products quickly, manufacturing enterprises begin to collaboration with other enterprises, and in the cooperation, the service relationships between enterprises by providing products to others shape the manufacturing enterprise collaboration network (MECN). With the increase of MECN scale and cooperation closeness among enterprises, it is necessary to analyze the performance of MECN to ensure the stability of cooperation. In this paper, MECN is modeled by partner selection of multiple enterprises using entropy and TOPSIS method, and based on the model, the topology characteristics and vulnerability of MECN are analyzed by using of complex network theory. A case study of automobile engine cooperation manufacturing network is provided to illustrate our work, and the results show that the MECN of automobile engine exhibits the small-world property; and by analysis the vulnerability of the network, the critical enterprise nodes can be identified for failure prevention.
Research on Visual Information Analysis Method of Moving Objects in Video
Authors: Chen Longwei , Zhang Yun , He Qing , Sun Yang
Published: April 2020

For analyzing the size and distance of objects in video, we build a physical distance measurement model based on the geometric transformation of pixel and space points by different shooting environments and shooting methods, and realize the measurement of the size and distance of the physical object in the picture and the distance between the shooting point and the physical object in the picture.
A New One-selector One-resistor Verilog-A model for Circuit Simulsation
Authors: Dai Yuehua , Qi Min , Tao Fei , Lu Wenjun , Yang Fei
Published: April 2020

In this paper, a compact model of one-threshold switching selector (1S) one-bipolar resistive random-access memory (1R) is developed for 3D memory circuit simulation. Firstly, the mathematical formulas are presented to describe the two different states before and after the threshold switching for S. The formulas are expressed in Verilog-A to develop a S compact model. Secondly, the parameters (Vth1, Vth2, Vop, α, β, Rs) in the S model are adjusted to match with R. Especially, Vth1 and Vth2 can be adjusted according to the set and the reset voltages of R. Lastly, simulations are conducted in 7T1R circuit and cross-point array performance of the new 1S1R Verilog-A model is analyzed to validate the model performance.
Research on Application Modeling and Visualization Based on Aviation Information Exchange Model
Authors: Lai Xin , Hu Jingyu
Published: April 2020

The Aviation Information Exchange Model (AIXM) is a data exchange standard proposed by the International Civil Aviation Organization for the digital modeling and application of various aviation elements in aeronautical information services. It is the global expression, storage and interaction of aviation information standards basis. AIXM defines various aviation entity elements covering the whole process of flight. Airspace, airport, flight procedures and other entities can implement spatial simulation using computer visualization technology based on AIXM modeling structured data. The simulation display can help flight operators, control personnel and other aviation operators to establish a better situational awareness and improve flight safety. This paper analyzes the technical points of the aeronautical information exchange model, and uses the abstract extended attributes in the AIXM structure to realize the modeling of the airport obstacle limit surface, and further realizes the visual simulation of the constructed airport obstacle limit surface AIXM model by using MATLAB.
Persistence of a Lotka-volterra Ratio-dependent Predator-prey Model with Delays and Feedback Controls
Authors: Jia Lili , Wang Changyou
Published: April 2020

The aim of this article is to study the dynamical behavior of a Lotka-volterra 3-species ratio-dependent predator-prey system with delays and feedback controls. By using the comparison theorem, the differential inequalities and developing new analysis method, some sufficient conditions are obtained to ensure the permanence of the solutions for the delayed predator-prey system, and some known results are generalized.
Simulation of Electric Field Distribution in Cable Joint under the Influence of Metal Particle
Authors: Wu Zheng , Wu Mingyan , Zhang Ruxin , Liao Lei , Du Gang , Huang Xueyou , Jin Wenpei , Zhang Ji’an , Li Haiming , Lu Binxian
Published: April 2020

The middle joint of 10kV cable is a kind of cable accessory that needs to be installed outdoors. Poor conditions may cause defects in the joints during installation. Due to the small size of some defects, it is impossible to obtain accurate results when simulating them with all simulation domain together. In this paper, an accurate model is established to accurately calculate the distribution of electric field around particles in the whole model, and the error in the central region of the model is less than 6.5%. When there are metal particles on the main insulation surface of the cable, this accurate model is applied for analysis, and the maximum electric field intensity around the metal particles is calculated to be 7kV/mm, which is 3.8 times larger than normal.
Automatic Melting-casting-palletizing Production System for Miniature Batch/Mass Metal Based on Robot Technology
Authors: Gao Shanping , Song Jinling , Gu Lizhi
Published: April 2020

In metal recycling and smelting, especially precious metal recycling and smelting, a novel production system is put forward for the automatic and intelligent control of the melting-casting-palletizing processes based on the systems engineering principle with multi-robots. The system is optimally designed and consists of five fundamental function modules, the melting-casting robot sub-system, over-turning robot subsystem, palletizing robot subsystem, vibration-demolding table, and the ring-like rotating table. By using the modern cybernetics and intelligent control method in the whole machine control system with machine vision, location and gravity sensors and the corresponding algorithm, into to the PLC control system, achievement of energy saving and environmentally friendly small batch/mass metal recycling and ingot-making is gained with automation and intelligence.
Control System for Wheeled Humanoid Following Robot
Authors: Ding Baiyong , Ji Shuaifei , Han Runping , Chen Lihong
Published: April 2020

Aiming at application and development prospects of following robot, a control system for humanoid 18-DOF robot supported by four wheels is designed. The system adopts the double-controller structure composed of master controller Raspberry Pi and slave controller STM32 for servo control of robot based on multi-sensor information fusion. In this control system, USB camera and two-axis pan-tilt are used for capturing images with wide viewing angles. Multi-scale template matching and Median-Flow algorithm are used for target recognition. Kalman Filter is used to fuse acceleration and angular velocity given by attitude sensor to obtain the reliable upright angle. PID algorithms are applied to the control system to realize robot’s upright angle control, speed control and turning angle control. Robot’s action adjustment is achieved by controlling its joint steering gears. The experimental results show that this low-cost wheeled humanoid robot has good self-balancing stability, anti-interference and following stability.
Design of High-Power Dual-Redundancy Electro-Mechanical Actuator for Scout and Strike UAV
Authors: Yang Tao , Wang Shuaibing , Yang Jinpeng
Published: April 2020

As the technology advance of UAV (Unmanned Aerial Vehicle), the large UAV is a prevalent trend, which is widely used for scout and strike in modern military battlefield. The flight safety is rather important because of the cost increase of UAV with various airborne devices equipped. EMA (Electromechanical Actuator) is one of the key components in UAV system. Whether its performance is reliable or not determines the flight safety. In this paper, in order to design high-power EMA for scout and strike UAV with fast response and high stability to ensure UAV safety, dual-redundancy technology is adopted. There are two communication interfaces between the actuator and the flight mission computer. The control circuit and the drive circuit are in the form of dual redundancy, while there are two sets of windings in the motor. The controller and actuator design are introduced in details one by one. Also, the paper presents the dual-redundancy design scheme. Several ground tests simulating the real flight conditions are conducted, proving that the EMA design is feasible and its performance is satisfactory. The UAV flight tests are needed later in the future to verify EMA performance in practice.
Research on Traceability of Cold Chain Logistics Based on RFID and EPC
Authors: Hu Lishuan , Xiang Caihong , Qi Chengming
Published: April 2020

In recent years, people placed great emphasis on food quality and safety. About half million people die of food hygiene problems every year in the world. How to effectively trace the source of various kinds of food with various origins has become the core issue of food safety research. Based on EPC, RFID and Baidu Map API, this paper designs a tracking and traceability platform and establishes a food life cycle model to ensure food safety and improve service level. The main research contents include: developing EPC coding system of the research object; solving the life cycle of the research object.
Research on Optimization Design of xcv-855 Machining Center Post-processing Based on Mastercam9.1
Authors: Ye Xuanlin
Published: April 2020

According to the structural characteristics of the four-axis machine tool of xcv-855 machining center and the requirements of NC program, MP language is used to optimize it on the basis of the post-processing file attached by Mastercam 9.1, so that it can automatically add M10 / M11 in the four-axis fixed axis machining, M29 in the rigid tapping, and the output angle is 0° ∼ 360°. Taking the actual processing of the filter head array drum as an example, the correctness of the developed post-processing file is verified. The practical results show that there is no alarm in the process of processing, and the processed parts can meet the specified accuracy requirements, so as to verify the correctness of the post-processing file.
Tribological properties of self-mated SUS304 lubricated by palm methyl ester mixed lubricant at boundary lubrication
Authors: Fuadi Z , Faisal M , Dirhamsyah M , Tadjuddin M , Kurniawan R
Published: April 2020

Due to environment and sustainability issues, it is important to reduce the use of petroleum based products in automotive and industrial application. One of the efforts is to use bio oils as base oil for lubricants. This paper presents the experimental results on the effects of palm methyl ester mixing in a conventional lubricant on the friction and wear characteristics of stainless steel SUS304. The friction tests were conducted using a ball-on-disk tribometer at boundary lubrication condition. Three kind of lubricants were prepared, i.e. commercial SAE40, and the mixture of 0.5% and 1% palm methyl ester into SAE40 lubricant. The prepared lubricants were designated as PME0, PME5, and PME10, in reference to 0%, 0.5%, and 1% palm methyl ester mixture in the SAE40 oil. Results shows that the addition of palm methyl ester in the lubricant has reduced the value of coefficient of friction from 0.7 to 0.55 with the addition of 1% palm methyl ester in the base lubricant. As for the wear, 10% reduction of the wear scar was achieved at the condition of PME10 compared to that at PME0. One of possible explanation for this reduction is the formation of oxidative layer on the contact interface due to the existence of the methyl ester in the lubricant. This result indicates the positive impact of the palm methyl ester as additive for enhancing the performance of conventional lubricant thus requiring further analysis and investigation.
Lean Production Model Aligned with Organizational Culture to Reduce Order Fulfillment Issues in Micro- and Small-sized Textile Businesses in Peru
Authors: Martinez-Condor B , Mamani-Motta F , Macassi-Jaurequi I , Raymundo-Ibañez C , Perez M
Published: April 2020

This paper proposes an optimization model aimed at increasing production capabilities at a small-sized textile business dedicated to manufacturing polo shirts, while reducing order fulfillment issues, including incomplete orders and late deliveries. Hence, an assessment identified downtimes from unnecessary transportation travel, time spent looking for materials, and excessive losses due to cutting fabric errors. In this light, the study focused on selecting adaptable tools, such as 5S, Plant Layout, and Method Study, which may help improve production capabilities and address these situations. However, to guarantee that the objectives set forth are being met, the organizational culture must also be identified and improved so that it may serve as the foundation for the optimization model. Then, the proposed model will be validated to determine whether the selected operating tools supported by the strengthening of organization culture contribute to increasing production.
Lean Manufacturing Model for production management to increase SME productivity in the non-primary manufacturing sector
Authors: Flores-Meza S , Limaymanta-Perales J , Eyzaquirre-Munarriz J , Raymundo-Ibañez C , Perez M
Published: April 2020

Currently, there is a large percentage of small and medium-sized enterprises (SMEs) in the Peruvian textile market that show economic loss because of the payment of penalties to customers, which are incurred owing to the delay in the delivery of order batches. This is due to poor production management and a lack of focus. The manufacturing sector is essential because of its high contribution to the country’s gross domestic product. Currently, SMEs do not employ methodologies that help improve production and process management as they do not realize how important and necessary the methodologies are, in addition to how complex these may be. Therefore, this paper will propose a production management model designed for SMEs in this sector, based on Lean methodology where the objective is time reductions and production increases as well as exerting changes to the organizational culture. Thus, this model will help organizations to avoid incurring economic losses because of the payment of penalties for orders not delivered on time. To validate the present model, a time simulation was performed in the manufacturing area of a textile company. The result of this project was positive, since there was a 25% increase in productivity and a 20% reduction of takt time with respect to the initial data.
Comprehensive Management model for increasing the competitiveness of small and medium artisan jewelry enterprises in Peru
Authors: Mejia-Pajuelo K , Solis-Galdos K , Mauricio-Sanchez D , Raymundo-Ibañez C , Perez M
Published: April 2020

Today, many small and medium enterprises (SMEs) either go out of business or see their growth being stalled due to poor activity management and organization, which is why they are often unprepared to engage against large companies leading their competitive markets. This study aims to develop a comprehensive management model, exclusively designed for SMEs in the jewellery sector, which may encompass all areas that create value and make them competitive. The development of this comprehensive management model was deployed in 21 steps classified into three tiers based on three major philosophies. This study uses lean manufacturing to identify activities that add value and reduce waste, and lean green was used to provide the environmental care and culture approach required for a friendly and fair workplace environment. The selected scenario is a jewelry workshop, wherein techniques and tools were completely applied and yielded a 20% increase in operating performance and a 15% increase in annual return.
Lean Manufacturing Production Method using the Change Management Approach to Reduce Backorders at SMEs in the Footwear Industry in Peru
Authors: Dextre-del-Castillo D , Urruchi-Ortega S , Peñafiel-Carrera J , Raymundo-Ibañez C , Dominguez F
Published: April 2020

This article proposes a production method that aims to increase the manufacturing capacity of a footwear small- and medium-sized enterprise (SME) to reduce backorders. Therefore, an assessment is carried out and delays in production processes, excess product transport time, defective products, and inefficient work methods are identified. This article proposes designing a Lean manufacturing method using the change management approach, whose methodology is composed of six phases. In phase 0, change management is carried out; in phase 1, the company’s current situation is reviewed using the Value Stream Mapping (VSM); in phase 2, the work area is reorganized (implementing SLP and 5S); in phase 3, production is balanced (implementing Line Balancing); in phase 4, continual improvement is established using the Kaizen tool; and finally, in phase 5, the results are evaluated. Through validation, it was possible to confirm that Lean manufacturing tools along with change management increased order deliveries by 82%.
Application of QR codes as a new communication technology and interactive tourist guide in Jaboi, Sabang
Authors: Marwan  , Yanis M , Muzakir  , Nugraha G S
Published: April 2020

The Indonesian volcano is only limited for the electrical energy capacity, but in developed countries, the volcano is not only used for power plan but also developed for the tourism industry. Jaboi is one of the volcanoes located in Sabang with a capacity of 80 MW. The five potential of geothermal spots can be used as geo-tourism tours. Besides to improve the economic sector, the main purpose of the geo-tourism is the management of the tours that will be provided for educative lessons about the friendly life in a volcanic area. In this paper, we produced the educational videos that placed on each tourist spot; the video contains including the history of the site, geological background, and also information about the risks of living in a volcanic area. The QR code program is used as a medium for data transfer that can be scanned through a smartphone. This application is widely used in tourism as an economical alternative in technology. In the several spots that difficult to access, we also produced a safe route with a QR code program. The tracks will be overlaid on the smartphone with the ‘gpx viewer’ application, which possible to download from Google Play or App Store.
Rapid material estimation for reinforced concrete construction utilizing a parametric tool for Aceh’s post-disaster case
Authors: Atthaillah  , Saputra E , Karsono B , Fahrizal E , Fithri C A
Published: April 2020

This paper offered a new open-source parametric tool for reinforced-concrete construction estimation for post-disaster based on Aceh’s case. The tool aimed at introducing and providing an innovative solution of estimation for building materials more dynamically and rapidly. The tool was initiated by the fact that the delay of relief shelter deployment in 2004 post-tsunami in Aceh of Indonesia was caused by the inability to provide a rapid calculation for building materials as a result of a massive request [1]. Further, the reinforced-concrete constructions had become a positive preference by the Acehnese [2]. In order to offer a new tool for rapid and dynamic estimation specifically for reinforced-concrete construction, the authors utilized visual scripting of Grasshopper with GHPython extension for optimization of the proposed tool. The tool introduced in this paper was the improvement of previously explored workflows by the authors and ended up with an innovative tool for modeling, visualizing, and estimating. Furthermore, the tool enhanced users’ experiences to construct a workflow based on users’ specific logic. The tool allowed alterations in the design without comprising time for estimation. In this way, the specific need of the victims in post-disaster was accommodated without obstruction to an estimation of building materials, thus, improved quality and management of the relief shelters for a post-disaster.