bluuebunny/crossref_metadata_2025_split huggingface dataset:
ECG Cardiac arrhythmias Classification using DWT, ICA and MLP Neural Networks
Authors: Ramkumar M. , Ganesh Babu C. , Vinoth Kumar K , Hepsiba D , Manjunathan A. , Sarath Kumar R. 
Published: March 2021

Abstract
Recognizing ECG cardiac arrhythmia automatically is an essential task for diagnosing the abnormalities of cardiac muscle. The proposal of few algorithms has been made for classifying the ECG cardiac arrhythmias, however the system of classification efficiency is determined on the basis of its prediction and diagnosis accuracy. Hence, in this study the proposal of an efficient system has been made for classifying the ECG cardiac arrhythmia as an expertise. Discrete Wavelet Transform (DWT) is being utilized for the preprocessing mechanism of ECG signal, Independent Component Analysis (ICA) is being utilized for dimensionality reduction and Feature Extraction process of ECG signal and Multi-Layer Perceptron (MLP) neural network is being utilized for performing the task of classification. As an outcome of classification, the results have been acquired on categorizing Normal Beats under the class of Non-Ectopic beat, Atrial Premature Beat under the class of Supra-Ventricular ectopic beat and Ventricular Escape beat under the class of Ventricular ectopic beat on the basis of standardization given by ANSI/AAMI EC57: 1998. For the acquisition of ECG signal, MIT-BIH physionet arrhythmia database is being utilized in this study added to that its being utilized for training process and testing process of the classifier on the basis of MLP-NN. The results obtained from the simulation has been inferred that the accuracy of classification of the proposed algorithm is 96.50% on utilizing 10 files inclusive of normal beats, Atrial Premature Beat and Ventricular Escape beat.
Fpga Based Multi-Robot Collision Avoidance System
Authors: Amritha S B , Krishna Bhavya , Ramesh Sujana , Vivek D C , Ammasai Gounden N 
Published: March 2021

Abstract
This paper presents a Multi-robot collision avoidance system suitable for FPGA implementation. The proposed scheme attempts a novel method of Reciprocal Collision Avoidance(RCA) along with Accelerating Velocity Obstacles(AVO). Parallel architecture is used for developing the collision analysis of robots with different targets. Each of these robots moves and reaches its target, avoiding collisions on its path. Simulations for the digital design hardware have been carried out in Vivado software and the robotic movements have been demonstrated using V-rep software. The proposed scheme would result in reduced cost and power dissipation while deploying in FPGAs. The details of the collision detection algorithm and the working of different modules used in the scheme along with test results are presented in the paper.
Heart Rate Measurement
Authors: Kansara Parth , Dhar Ritwik , Shah Riddhi , Mehta Devansh , Raut Purva 
Published: March 2021

Abstract
In recent studies on non-invasive techniques for heart rate measurements, various Computer Vision algorithms based on Ballistocardiography (BCG) have been employed. This method captures minimal head motions from facial videos, that result from the pumping of blood to the head through the carotid arteries, at each cardiac cycle. We move towards BCG because the conventional technique of Photoplethysmography (PPG) fails to yield accurate results from facial video in case of skin color variations. This paper proposes an improved system for accurately measuring the heart rate and heart rate variability to infer important information about the subject’s health. It incorporates functions from the Dlib toolkit, which provide robust face detection along with facial landmark tracking. Relevant data in terms of facial video and ground truth was acquired from 5 test subjects, in 3 states - sitting, standing and post exercise. The system exhibits promising results when validated using a wearable smart watch with inbuilt heart rate sensor.
Algorithmic teaching and collaborative problem solving: case of a physical chemistry discipline
Authors: Chrifi I , Tace E M , Radid M , Yazza Y 
Published: March 2021

Abstract
Based on an exploratory study carried out recently, and observations from several sessions of university teaching-learning in Morocco, we have found that the difficulties encountered by Moroccan teachers in scientific disciplines are mainly due to the problem of massification. This observation led us thereafter, to design a collaborative method of problem solving by algorithms, to bring more efficiency to teaching practices in graduate studies. Indeed, by forming a small groups of students, the teacher establishes an algorithm which he will follow during a whole activity, proposes to each group problems of variable complexity, then, he returns each time to the progress of this algorithm, in order to observe the progress of the work entrusted to the students groups. After integrating the method, observation grids and results from questionnaires, intended for an example of 70 students of the second year of Chemistry of Materials Science, at the Ben M’sik Faculty of Sciences in Casablanca, showed that the subjects are motivated by the method, and that the work within the group helped them to improve their learning. On the teacher’s side, the choice of method has positively influenced these practices, particularly for the management of time and space in his teaching.
Design and Realization of Monitoring and Alarm System for Intravenous Infusion
Authors: Huang Shuangcheng , Mei Erzhao 
Published: March 2021

Abstract
A real-time monitoring and alarm system for intravenous infusion in isolation wards is designed to reduce the number of contact between medical staff and patients during intravenous infusion. The system includes STM32L052K8 as lower computer to collect the speed and dosage of intravenous infusion, upper computer adopting LabVIEW to design the infusion monitoring interface and the communication via universal asynchronous receiver transmitter (UART). The experimental results show that the intravenous infusion monitoring system designed with STM32L052K8 and LabVIEW can realize real-time monitoring of drip, reduce the stay time of medical staff in isolation wards, and provide reference for hospital medical information.
Three dimensional path planning of UAV based on adaptive particle swarm optimization algorithm
Authors: Chen Jie , Zhao Hongchao , Wang Lei 
Published: March 2021

Abstract
Aiming at the problem of falling easily into local optimal solution of conventional particle swarm optimization algorithm, an adaptive particle swarm optimization algorithm is proposed, which adaptively adjusts the values of inertial weight and two learning factors in the iterated search process. The environment model of path planning is built for unmanned aerial vehicle (UAV) to perform reconnaissance task in mountain environment. The self-constraint conditions of UAV are analyzed. The fitness degree function of adaptive particle swarm optimization algorithm and flow chart of path planning algorithm are designed. The simulation experiments of three dimensional path planning of UAV are carried out by adopting respectively the adaptive particle swarm optimization algorithm and the conventional particle swarm optimization algorithm. The contrast of simulation result shows that the proposed adaptive particle swarm optimization algorithm has higher global search ability and search precision than the conventional particle swarm optimization algorithm.
A Wireless Charing Vehicle on-demand scheduling algorithm based on entropy weight method
Authors: Guo Tai , Zhi Chun 
Published: March 2021

Abstract
The energy of the sensor node (SNs) is always an important factor restricting its long-term stable operation. In order to ensure that the sensor node has a stable energy supply and prolong its working life, a charging scheduling algorithm based on the entropy weight method is proposed to reasonably schedule the wireless charging vehicle (WCV) and improve charging effectiveness. In the proposed algorithm, the concept of node network attributes is first proposed, and the entropy weight method evaluation model is introduced, and then the entropy weight method is used to comprehensively evaluate the network attributes of the nodes, and the scores of each node after the evaluation are arranged in descending order to obtain the charging plan. WCV carries multiple detachable charging devices to charge the nodes according to the charging plan. Finally, the proposed algorithm is simulated, and the result shows that the proposed algorithm is significantly higher than the existing FCFS and NJNP algorithms in terms of charging delay and node survival rate.
Research on Intelligent Technology of Dispatching and Control to Ensure Power Supply Based on Multivariate Information
Authors: Kai Wang , Rui Zhang , Lei Song , Haibo Lan , Yi Wu , Jianhua Pan , Guosong Wu 
Published: March 2021

Abstract
The development of power dispatch services to ensure power supply has put forward new requirements for the digitalization, intelligence and servitization of the dispatching system. Based on the data of power dispatch and control, the characteristics of power dispatch services to ensure power supply, and research on intelligent technology of dispatching and control to ensure power supply based on multivariate information, by establishing the data model of power supply services, and applying forms of expression such as knowledge graph, with deep neural network and rule learning technology, this paper explores and develops an intelligent robot of dispatching and control to ensure power supply based on multivariate information, which realizes the functions of interface integration of various service platforms, visualized monitoring of power supply information, and release and submission of power supply information, etc. By building intelligent applications according to the requirements of power dispatch services to ensure power supply, it effectively improves the risk prevention and control level and emergency response capacity of power system to ensure power supply, and comprehensively upgrades the safe and stable operation of power system to ensure power supply.
Research on automatic arrange and detect system for plentiful immethodical components
Authors: Kui Zhang , Ru Zhang , Yaru Cui , Hailong Zhao , Huaguang Liu , Honglei Ran , Lijing Yin 
Published: March 2021

Abstract
With the development of electronic technology, the requirements for electronic components are gradually becoming chip, miniaturization and high precision. In this case, problems such as scattered sample parts and poor detection accuracy and stability in traditional production testing methods seriously affect production quality. Therefore, in-depth study of intelligent material discharge detection has become an important way to solve the problem. In this paper, the needs of intelligent detection are comprehensively analyzed, and the machine vision imaging optimization is deeply studied, feature matching and small sample capture placement technologies are learned. In order to realize intelligent discharge detection of micro scattered equipment, an automatic discharge system is developed, which integrates counting module, defect detection module and automatic discharge module.
Research on Interactive Installation Design Centering on Urban Light Pollution Based on Open-source Programming Language
Authors: Lijun Xu 
Published: March 2021

Abstract
The design of multimedia interactive installations symbolizes the integration of technology and art, and has already become an artistic expression form with distinctive technological beauty of the times. Furthermore, the application of open-source programming language enhances the interactivity and enriches the connotation of the installation itself, as well as creates the aesthetic feeling for the viewers via catering to their sensory needs during the interaction with the installation. This research takes “TURN OFF!!”, an interactive installation as an instance, which focuses on the theme of environmental protection and employs Processing, the open-source programming language and Arduino, the open-source electronic prototyping platform. Also, the research manifests the application significance of the open-source programming language in the design of interactive installations, and discusses the influence of the integration of science and technology and artistic design during the creation of art and the ultimate presentation of the artwork. In the end, the research indicates that future designers should have programming-related technical skills to better display their creativity and imagination.
Analysis of Wheel-rail Force Characteristics of Type A Metro Bogie with a Speed of 80 km/h
Authors: Gong Yanqing , Hu Handa , Xiao Haijian 
Published: March 2021

Abstract
In this paper, the wheel-rail force analysis test is carried out on the type A metro vehicle equipped with a certain type bogie and the maximum operating speed is 80km/h. The purpose is to explore the characteristics of derailment coefficient, wheel unloading ratio and wheelset lateral force under different conditions. According to UIC518, the safety, ride index and stability of subway vehicles under AW0(AW0 means “no load”) and AW3(AW3 means “overload”) are evaluated. Through the analysis of this paper, it is found that when the train runs on the R300-meter curve, the various indicators are the largest, followed by the R500-meter curve, and the smallest on the straight line. the derailment coefficient and the wheelset lateral force of the motor car are greater than those of the trailer. The various wheel-rail force indicators of this type of subway bogie all meet the requirements.
A simple and reliable DC large current lossless sampling circuit
Authors: Chengxiang Lyu 
Published: March 2021

Abstract
This article introduces a method of sampling and measuring DC current using the resistance of the wire itself, which can simply replace the current sampling resistance usually used in DC current measurement, making the wire itself a simple and reliable non-destructive sampling of large DC current Measuring sensor. Since there is no change to the original circuit state, the heating loss and connection points of the access sampling resistor are avoided, thereby greatly improving the reliability of the circuit
Study on the Boost Converter with Parasitic Parameters of SiC MOSFET
Authors: Yin Yifan 
Published: March 2021

Abstract
As a new type of transistors, SiC MOSFETs have excellent performance on switching speed and are capable to improve the energy efficiency and energy density of power conversion devices. On the other hand, the parasitic parameters associated with them bring potential problems when designing switching regulators or analysing the converter performances. In this paper, a boost converter model based on the switching characteristics of SiC MOSFETs is presented for describing the power conversion behaviours comprehensively and accurately. Applying that model, a feedback control system is designed and simulated to explore the influence of each parasitic capacitance on the boost converter. Also, the power loss of the converter during steady operation is analysed and simulated. The research method and simulation results in this paper can be referenced for the design of boost converter with parasitic parameters of SiC MOSFET.
Research on blur discrimination thresholds of three-Channel for color image
Authors: Yan Hao , Huang Qingmei , Chen Defen 
Published: March 2021

Abstract
On the basis of modern theory of color vision, the blur discrimination threshold of color image with three channels (luminance, red-green and the yellow-blue channel) in the opponent color space (DKL space) is studied through visual experiments in this paper. The visual evaluation experiment is designed by the psychophysical method based on Quest algorithm. Finding the blur discrimination threshold of color image according to the DKL space is of great significance for helping us understand color perception of image. It also has a wide range of applications in areas such as color image compression during color image transmission. Two (flowers and artificial object) typical images in the McGill standard color image database were chosen as the experimental images. After converting the color space of the image from RGB to DKL space, Gaussian low-pass filtering is used to establish the fuzzy image database. Quest algorithm which is a psychological physical method is used to design the visual evaluation experiment. Eleven volunteers with normal color vision were invited to participate in the visual evaluation experiment for each of the three channels of the two images. Our main conclusions are: (1) Human eyes are more sensitive to luminance information than color information. (2) The larger the contrast of the image and the smaller the uniformity of the image, the more sensitive the human eye is to changes in image blur.
The Application of Open-source Language in Interactive Installation on Enhancing Water Conservation Awareness
Authors: Nan Zhang 
Published: March 2021

Abstract
The support of Processing programming technology and Arduino open-source platform enables the art design of the installation mentioned in this paper to become more interactive and more appealing, thereby creating an immersive experience for the participants. In addition, its designer can explore the value of the two technical tools and unlock the potential through research and practices. Concerned over the waste of water resources, the interactive installation enlightens the participants to realize the consequences of water waste via controlling the water valve of the faucet and then receiving the feedback of dynamic effects on the screen. Furthermore, it is expected to attract the attention of the participants, to inspire them to take stock of their water usage habits, and to achieve the installation’s ultimate goal of enhancing the experiencers’ awareness of water conservation.
A multi-sensors weighted data fusion method based on measurement traversal correction
Authors: Jia Yang Jun , Yuan Wang Bo , Ye Shi , Peng Li , Wei Zhang Er 
Published: March 2021

Abstract
In the case of multi-sensors weighted data fusion with unknown prior knowledge, a weighted data fusion method based on measurement traversal correction is proposed. The fusion accuracy of multi-sensors data fusion is influenced by both the measurement data accuracy and the data fusion weights of sensors. The measurement data of sensors is corrected through analyzing the reliability of different time data measured by sensors. The fusion weights of multi-sensors data fusion are optimal through depply analyzing the influence of weight distribution on multi-sensors data fusion accuracy. Typical examples are used to validate the proposed fusion algorithm, and the result shows that the fusion result is satisfying, and the algorithm is theoretical and practical.
Real-time Sensing and Visualization of Electromagnetic Situation Based on Multi-source Information Fusion
Authors: Huang Hanyan , Cao Te , Chen Hongbo , Wang Jinbo 
Published: March 2021

Abstract
It is of great significance for real-time sensing and visualization of electromagnetic situation to grasp the battlefield situation. The most important procedure is to deal with multi-source mass electromagnetic perception data and realize the point to space electromagnetic situation data refactoring. The basic idea of this paper is to estimate the electromagnetic field intensity of any concerned position by space domain fusion of multi-source data fusion after time domain fusion. Firstly, the Grubbs criteria is used in the pretreatment of single sensor data, and then the Bootstrap re-sampling methods is used for single sensor information fusion. This method can eliminate the vagueness and uncertainty of a mass of sensing data in a short period of time. Secondly, by the D-S evidence theory, the multi-sensor perceptual data combined with the wave propagation model and expert information are fused, and finally the prediction of space electromagnetic situation data is reconstructed. Finally, calculation examples of single sensor fusion and multi-sensor fusion are given to illustrate that the developed methods can increase the credibility of the reconstructed electromagnetic situation.
Design of Feedback Matrix for Full-Order Flux Observer of Asynchronous Motor
Authors: Zhou Sheng Tao , Deng Xin , Xing Peng Kun , Zhu Wenbai 
Published: March 2021

Abstract
The asynchronous motor full-order flux observer uses the motor itself as a reference model to observe the motor’s flux and stator current by constructing a state equation. It takes the stator current output and introduces the error between the actual current and the observed current as feedback correction, and improves the performance of the full-order flux observer by adjusting the feedback gain of the correction item. Based on the in-depth analysis of the zero and pole images of the open-loop transfer function of the small signal linearized model, a feedback matrix design method is proposed to improve the smooth switching of the full order flux observer and the dynamic performance of the full order flux observer speed identification. Simulation results verify the correctness of the analysis method and the feasibility of the proposed countermeasures.
Detection of Ship Shaft-rate Electromagnetic Field Signal Based on NLMS Algorithm
Authors: Wang Kaisong , Zhou Guohua , Zeng Wenshi , Lu Xihao , Zhang Xiaochen 
Published: March 2021

Abstract
Ship shaft-rate electromagnetic field signal contains a lot of valuable target feature information, and effectively extracting its line spectrum components plays an extremely important role in underwater target recognition. In order to effectively separate the characteristic line spectrum of ship shaft-rate electromagnetic field from broadband background noise, this paper studies and analyzes the shaft-rate electric field by using the line spectrum enhancement algorithm based on adaptive filtering. Firstly, the application principle of adaptive line spectrum enhancement and NLMS algorithm in ship shaft-rate signal detection is briefly described. Then, an adaptive line spectrum enhancer is constructed according to the improved NLMS algorithm, and the obtained shaft-rate electric field data are processed and analyzed by this method. Finally, it is verified by simulation data and experimental data. The results show that the algorithm can effectively suppress the background noise, significantly improve the signal-to-noise ratio, and enhance the detection ability of ship electromagnetic field signals in practical applications.
Utilization of the maros karst landscape based on the morphology (case study in bantimurung subdistrict, maros district, sulawesi selatan)
Authors: Setiadi R P , Damayanti A , Dimyati M 
Published: March 2021

Abstract
Karst region of Maros Regency is valuable due to the natural resources available for the local economy. This study aims to map the karst geomorphology units using GIS techniques and to illustrate the use of the landscape by surrounding communities. Information on karst distribution is needed because the karst potential has scientific, economic, and humanitarian values, which are a wealth of resources. The variables used in this study are geological, altitude, drainage pattern, and slope maps. We determine the distribution of karst geomorphological units using the overlay method. Primary data processing and descriptive analysis are used to determine the utilization of each karst geomorphology unit. The result is that the karst has an area of 33.58 km² or 20% of the total area, which covers the 10.17 km² plain karst, 15.84 km² plateau karst, 6.07 km² cone karst, and 1.49 km² tower karst. The plain karst is used for agricultural land, while the plateau karst and cone karst for tourism services, with the cone karst in the form of guano fertilizer sources. Meanwhile, tower karsts are utilized for limestone mining.