bluuebunny/crossref_metadata_2025_split huggingface dataset:
Interactive Textile Vestimentary Systems for Wellbeing
Authors: Cărpuş Eftalea , Dorogan Angela , Doretty Cărpuş Ioana 
Published: June 2020

Abstract
In response to the changes, international research and innovation has as a priority, the development of a sustainable health system with tools to ensure both the personalization of the medical act and the implementation of prevention activities. The motivation for the use of textile elements, in this context, addresses functional, aesthetic, social, communicative, psychic and moral aspects. The balance between functionality, durability, economy, ergonomics and beauty in the case of textile systems, that change the quality of life and add value, is the result of modern design focused on meeting the requirements of use. The paper presents the results of an experimental study for the realization and testing under static conditions of textile structures used as a support for attachment sensors or electronic functions.
The color fastness properties of conductive leather improved by the use of mordants
Authors: Hylli M , Shabani A , Kazani I , Drushku S , Guxho G 
Published: June 2020

AbstractLeather has limited uses in smart or advanced applications because it doesn’t conduct electricity. Applying double in situ–polymerization of pyrrole gives leather conductive properties. The treated leather changes its natural color into black color going through this double in–situ polymerization method and show very good conductivity. The problem we faced was the losing in color while using it in different applications. Therefore, in this research, we have concluded an increasement of the color fastness resistance of the black leather, which was demonstrated by the electro conductive measurements and good resistance to rubbing.
CALM scale – Assessment of the total comfort of the popular female jeans
Authors: Braga I , Abreu M J , Oliveira M 
Published: June 2020

Abstract
The present paper consists on the experimental stage of a PhD research, on the study of the popular female jeans comfort, referring to the process of subjective evaluation of comfort to wear, specifically the comfort objective evaluation of the jeans to wear, using CALM scale. The popular jeans in study, refers to the jeans created, produced and consumed by the poor classes of Fortaleza, in the state of Ceará, Brazil. The purpose is to investigate the female jeans, with the objective of collecting information about the comfort / discomfort perceptions of the consumers of the Fortaleza popular markets. When the collected responses were correlated, it was found that the perception of comfort/discomfort of the jeans is directly related to the touch sensation.
Needleless electrospinning of PAN/SBA-15 for the preparation of nanofibers membranes
Authors: Rafe M H , Delaite C , Lebeau B , Bonne M , Mohsenzadeh E , Adolphe D 
Published: June 2020

Abstract
Polyacrylonitrile is one of the few waterproof polymers that can be spun from relatively safe solvents, facilitating the use of PAN nanofibers membranes in medical, filtration and biological applications. In this study PAN nanofiber membranes containing SBA-15 nanoparticles were prepared by the process of electrospinning in needless electrospinning machine and DMSO was used as solvent. A small amount of dispersing agent BYK W-9010 was added for a better deagglomerating of SBA-15 nanoparticles in the PAN/DMSO solution. The influence of rod like SBA-15 type ordered mesoporous silica particles as filler on the morphology and textural parameters of electrospun PAN nanofibers was studied. The effect of concentration, applied voltage, distance and feed rate on nanofibers diameter was investigated. The results obtained demonstrated that by increasing the concentration, applied voltage and feed rate, the number of nanofibers was increased and thicker nanofibers were obtained. Viscosity increased by increasing the concentration of polymer and it increased further by imparting small amount of silica nanoparticles. The SEM images of nanofibers were taken and their morphology explains that presence of silica nanoparticles in the nanofibers increases the specific surface area and makes the surface rough.
Exponential success through integrated supply chain optimization, ecomotional intelligence and reputation-based leadership: Zara model
Authors: Berbiche N , Hlyal M , El Alami J 
Published: June 2020

Abstract

‘You need to have five fingers touching the factory and five touching the customer.’ Amancio ORTEGA, Inditex Chairman
Fast fashion figures among the most lucrative using industries of the modern economies. With $25 billion annual sales in 2018, Zara that pioneered fast-fashion art has achieved an outstanding rapid surge, conquering 96 markets worldwide. The proposed paper presents the results of a critical thinking on how Zara applied innovation and continuous improvement in its operations and strong business model to maintain its unique competitive advantage over time. Our study shows that the secrets behind its exponential success are mainly a sophisticated sustainable supply chain, integrating efficiently the layers of design, sourcing, manufacturing, and distribution to stores for customers. It has to do with the best trade-off between low storage and shorter time response to customers in a contracted volatile market. Concisely, this research on specialized studies done over recent years seeks to help professional leaders grasp the best managerial and relational practices, along with developed operations’ research tools based on demand forecasting, inventory-distribution and clearance pricing optimization models. It aims also at enriching their knowledge with some non-quantitative methods related to clients’ preferences, ‘glocal strategy’ for adaptation, and social responsibility. As such, in view of the frequent conjunctional use of economic intelligence and emotional intelligence by Zara, we coined the neologism ‘ecomotional intelligence’, as a guide to belief and action.
Research regarding electromagnetic shielding achieved by the fabrics support
Authors: Surdu L , Aileni R M , Radulescu R I , Chiriac L 
Published: June 2020

Abstract
Electromagnetic shielding achieved by flexible materials has gained an increased significance in today’s radiation polluted environment. One of the modern approaches for obtaining electromagnetic textile shields with good surface electrical conductivity is the deposition of metallic thin films onto the fabrics. The use of the magnetron sputtering technique ensures some advantages, e.g. improved reflections of the fabric once metallic coatings are deposited on both sides of the fabric, as well as lightweight and excellent flexibility due to nanoscale thickness of layers. In the present work, cotton and polyester fabrics with various structural parameters, such as yarns count, fabric density, and specific mass were used as samples to be coated. PVD magnetron sputtering technique was utilized for the deposition of metallic layers with various thicknesses, either on one side or on both sides of the fabrics, in order to ensure good conductivity of the fabric. Besides, fabric samples with inserted conductive yarns of silver and stainless steel were considered as substrates, as well. The electromagnetic shielding tests using TEM cell evidenced good shielding effectiveness of 10-34 dB within 0.1-1000 MHz.
Safety Evaluation of Microgrid Using Chaotic Time Series and RBF Neural Network
Authors: Qin He , Tang Wenbo 
Published: June 2020

Abstract
In order to evaluate safety of the Microgrid(MG) after distributed energy resources and different types of loads accessed in or disconnected, chaotic time series and RBF neural network are essential and beneficial tools. In this paper, Voltage Security Assessment Index(VSAI) is established to assess whether the MG is able to achieve equilibrium state for voltage. The application of Solar Photo Voltaic(SPV) or Wind Turbine(WT) generation alone is tested in the process of the phase space reconstruction and compared to the consorted hybrid example. Chaos algorithm can be used to define and optimal the RBF center and the connection weights of output layer, which can further improve the convergence speed of RBF neural network. Comparing the result of output between actual and prediction in three different conditions, if the difference of their values is above or below a certain threshold, the safety of MG will be judged unsafe. Test is conducted on an autonomous MG bus feeder to verify the usefulness of the posed system. The research conclusion shows that chaotic time series and RBF neural network is effective and feasible for the safety evaluation of MG.
A security Assessment of Distribution Network CPS Based on Association Matrix Modeling Analysis
Authors: Yang Zhou , Zhou Xia , Ni Ming , Li Manli , Lin Husheng 
Published: June 2020

Abstract
The addition of the information system has improved the operation of the distribution network CPS, but it also brings certain risks and impacts to the safety of the distribution network CPS operation. Therefore, the distribution network CPS security assessment needs to consider the impact of information systems. This paper proposes a security Assessment of Distribution Network CPS Based on Association Matrix Modeling Analysis. The research framework of information physical fault impact is proposed, and the correlation and impact of information physical failures are analyzed. The CPS model of distribution network based on association matrix is established, and the safety evaluation index and evaluation method are proposed. Case study shows the rationality and effectiveness of the proposed method.
Low frequency oscillation online identification based on synchronous phasor of distribution network
Authors: Yi Li , Fen Yan , Kun Wang , Chaohui Sun , Wenwei Zhang 
Published: June 2020

Abstract
With the advancement of the interconnection process of power grid, the low-frequency oscillation (LFO) problems in the interconnected power grid greatly affect the economic and stable operation of the system. In recent years, the research of synchronous measurement system of distribution network has made great progress, which makes it possible to construct a new generation of low-cost, flexible and reliable online monitoring system of low-frequency oscillation based on the synchronous phasor of distribution network (LFO-DPMU). Based on this, the physical structure and processing flow of LFO-DPMU are constructed in this paper. The LFO-DPMU can extracts dominant mode of oscillation from the distribution network information in real time. For the identification algorithm, this paper selects Prony and HHT algorithm, which two kinds of commonly used oscillation identification algorithms in high-voltage power grid, and compare the characteristics of algorithm in anti-noise, stability and analysis efficiency. Then, combined with the characteristics of distribution network signal, this paper analyses the applicability of the two algorithms. Finally, two algorithms are used to extract the oscillation mode of the measured synchronous phasor signal of distribution network. The analysis result shows the feasibility and accuracy of the whole identification system.
Calculating the winter base load and AC load in Chongqing considering the correlation of temperature and power system load
Authors: Wang Ruimiao , Liao Zheng , Li Chunyan , Hu Bo , Xie Kaigui , Niu Tao , Sun Qingsong , Wang Gang 
Published: June 2020

Abstract
The widely use of air conditioning (AC) equipment have brought a large amount of AC load to the power grid, which has an increasingly impact on the safe and economic operation of the power system. In order to correctly estimate the scale of AC load, this paper proposes a new winter AC load calculation method considering the correlation of temperature and load. Firstly, abnormal temperature days (ATD) are removed from the set of representative days (RD) by calculating the correlation coefficient of temperature and load in RD screening process. Secondly, taking into account the daily growth of the base load, the regression analysis is used to fit the base load curve for each day in winter. Then the spring festival (SF) coefficient is proposed to modify the system base load in SF because power system load decreases dramatically during SF. Finally, the winter AC load is equal to the difference between winter power system load and winter base load. The winter AC load in Chongqing 2018 is calculated using the pro-posed method and the result shows the effectiveness of this method.
Deadbeat Predictive Current Control with Disturbance Observer for Permanent Magnet Synchronous Motor
Authors: Chuntao Zhang , Ruina Dang , Yang Wang , Chengning Zhang , Shuo Zhang 
Published: June 2020

Abstract
Deadbeat predictive current control (DPCC) is a kind of motor control method with excellent dynamic response performance. To increase the parameter robustness of DPCC, a disturbance observer (DO) is designed based on the extended Kalman filter (EKF). Firstly, this paper derives the DPCC method based on the mathematical model of permanent magnet synchronous motor (PMSM). Then, the DO is designed based on the EKF. The voltage disturbances caused by parameters mismatch are selected as the state vector, and the voltage disturbances at each time are calculated by the EKF iteratively. Thus, a novel control algorithm combining DPCC with DO is proposed. The simulation results of DPCC method are compared with the results of DPCC+DO method to verify the effectiveness of the proposed method.
DFIG Model Suitable for SSR Research
Authors: Zhang Hanhua , Jin Haiqiang , Wang Tongtong , Wen Jun 
Published: June 2020

Abstract
The simulation model of doubly fed induction generator (DFIG) is the basis of the research on subsynchronous resonance (SSR) of DFIG. In this paper, the conditions that the model of DFIG is suitable for the research of subsynchronous oscillation (SSO) are analyzed firstly. Then, the drive system, doubly fed induction motor, AC / DC / AC power converter and control strategy of DFIG are modeled, and these models are unified as electromechanical model. At last, the validity of the model is verified by the example of SSR when the DFIG is sent out through series compensated transmission line.
Respiratory detection using non-contact sensors
Authors: Xinqiang Chen , Zhicheng Huang , Lumei Su 
Published: June 2020

Abstract
Current respiratory detection study are mainly based on contact respiratory detection technology which has the limitation that human body should wear corresponding detection instruments. This paper studies three types of non-contact respiratory detection technologies. (1) Kinect-based respiratory detection method, which uses the depth sensor to obtain the depth value of the chest and abdomen region; (2) Ordinary web camera-based respiratory detection method, which applies optical flow to detect the motion information of the chest and abdomen region; (3) Thermal imager based respiratory detection method, which obtains the temperature change information of the nostril region from thermal video. The advantages and disadvantages of these three non-contact respiratory detection technologies are explored according to the experimental results. Kinect-based respiratory detection method is less affected by environmental interference, but the detection accuracy is lower and the detection range is limited. The detection method based on ordinary web camera is more accurate. However, the environmental illumination requirements are high. The detection method based on the thermal imager is not affected by the ambient light source, but the detection has poor real-time performance.
Active Magnetic Bearing Design and Backstepping-Adaptive Control for High-Speed Rotors
Authors: Khayyam Umar , Boxia He , Hassan Shaheer ul 
Published: June 2020

Abstract
Friction and vibrations hindering high-speed are the most pertinent problems facing the rotating machines. Thus, friction and vibration attenuation are essential in improving the overall performance of turbomachines. Conventionally, high-speed flywheel energy storage systems use Active Magnetic Bearings (AMB) to nullify friction losses and to deal with unbalances but, in the present era with increasing demand for high-speed machinery, the applications of AMBs are proliferating. They are not like the traditional bearings; they generate forces through magnetic fields with no contact between bearing and rotor thus decreasing the friction and providing the ability to counteract imbalances actively. This paper investigates an optimized design methodology along with backstepping adaptive control design of an 8-pole radial AMB used for flywheel energy storage systems. Design optimization using GA, along with analytical design constraints are presented. The design details along with finite element simulations are given to verify the optimization results and system requirements. Bearing parameters then obtained are used to develop a linearized mathematical model of the system, an adaptive back-stepping controller is designed for it to regulate the deviation of the rotating shaft from its equilibrium position.
Research on Dynamic Relationship between Urban Rail Transit and Power Consumption
Authors: Zhe Liu , Fengqing Du , Xu Liu 
Published: June 2020

Abstract
Aiming at the problem of insufficient feature quantity and lack of correlation between feature quantity and load, based on time series analysis method, ARIMNA model is used to fit the load forecasting problem. The study found that the urban orbit data has a good autocorrelation. Compared to the Linear Regression method, when the ARIMA model is used, the algorithm can predict the trend of urban rail transit load data better.
Research on the Civil-Military Integration Logistics Support System of Warships
Authors: Liu Xiaobai , Shao Fei , Zhang Xingxing 
Published: June 2020

Abstract
This paper had researched the construction of the Chinese Navy warship logistics support system, on the basis of drawing lessons from foreign military work experience. It had pointed out that, the institution building of Chinese Navy warship civil-military integration logistics support should be carried out from three aspects: establishing whole life-cycle logistics support mechanism, perfecting market competition mechanism, establishing the joint logistics support mechanism. At the same time, it had suggest that we should pay more attention to improving the research and development (R&D) capability, peacetime and wartime transfer capability and quality management capability of civilian enterprises. So it would to improve the quality and efficiency of Chinese Navy civil-military integration logistics support.
Research on Adaptive Reclosing Discriminant Method Based on LMD Sample Entropy
Authors: Shang Liqun , Zhang Yuan , Yang Chenguang 
Published: June 2020

Abstract
Based on the adaptive time-frequency analysis characteristics of local mean decomposition and the nonlinear quantization ability of sample entropy, an adaptive reclosing discriminant method based on LMD sample entropy is proposed. Firstly, the local mean decomposition method is applied to decompose the original signal of the transmission line fault into several product function components (PF component). Then calculate the sample entropy of the first three PF components to achieve feature quantization of the PF component. Finally, the sum of the sample entropy of first three PF components is used as the eigenvalue to distinguish the fault type of the transmission line. Obtained from the simulation results, the method can identify the type of fault.
Minimum-time Trajectory Planning for Residual Vibration Suppression of Flexible Manipulator Carrying a Payload
Authors: Liu Yong , Du Zhe , Zhang Shaonan 
Published: June 2020

Abstract
For the purpose of eliminating residual vibration of a two-link flexible manipulator as well as minimizing time consumption, a scheme of multi-objective trajectory planning in joint space is proposed in this paper. Piecewise polynomial is applied to generate a smooth joint trajectory. Lagrangian approach and the assumed modes method is used to derive motion equations of FMs. Finally, Multi-objective particle swarm optimization (MOPSO) algorithm is implemented to solve time of each polynomial. The effectiveness of proposed algorithm is demonstrated by simulation results.
Design and Implementation of a Device for Reducing Road Accident at Foggy, Rainy and Drowsy Conditions
Authors: Ahmed Shihab Uddin , Junaeid Sanzid , Islam Md. Monirul , Pathik Bishwajit Banik 
Published: June 2020

Abstract
The main objective of this project is to design and implementation of microcontroller-based circuitry for vehicles to detect obstacles and hence to minimize road accident. The microcontroller is programmed in such a way that, it can give command to the other apparatus to work according to the receiving pulse from the LDR (Light Dependent Resistor). When reflection of light falls on LDR then the function of LED will start to work and after having this pulse, the microcontroller allows to turn on the dc motor instead of vibrator to aware the driver at foggy, rainy or drowsy conditions.
Complex Network Community Detection based on Genetic Algorithm using K-cliques
Authors: Ma Jian , Fan Jianping 
Published: June 2020

Abstract
Inspired by the genetic algorithm, this paper proposes a complex network community detection algorithm, which searches for complete sub-graphs in a network, the numbers of nodes are greater than or equal to k, also referred to maximum k-cliques. K-cliques are the most connected communities in a network. Using the maximum k-clique initializes the population, which can improve the accuracy and efficiency of population initialization. K-clique-based population initialization, crossover, mutation, μ+λ selection strategy, and evaluation function (Q function) are adopted to select the next generation of population, the superior traits formed by parents during the process of evolution cannot be destroyed and can also be effectively inherited by offspring individuals. Finally, community partition is optimized using the fast Newman algorithm. This step performs further clustering on the communities. The algorithm can reduce the search space of community partition and improve the search efficiency of the algorithm. It is tested on benchmark networks and real-world networks. The algorithm has an acceptable time complexity. The experimental results show that the algorithm can effectively divide the communities.
Complex morphological filtering algorithm based on multi-structure elements
Authors: Yiyan Wang , Jiang Luo 
Published: June 2020

Abstract
Morphological filter is a kind of nonlinear filter. Based on the erosion and dilation operations a complex morphological filter was proposed with multi-structure elements. In order to protect the image detail effectively, a noise detect method was introduced firstly. The noise pixels are removed using the proposed filter, while signal pixels hold their pixel value and are left unprocessed. The experimental results demonstrate that the proposed algorithm has good filtering performance, which can preserve edge details effectively during denoising. For both gray image and binary image with salt & pepper noise pollution, the proposed algorithm is superior to the conventional morphological methods in the aspect of objective performance evaluation and subjective visual effect. Meanwhile, the proposed method can also be extended to the color image processing.