bluuebunny/crossref_metadata_2025 huggingface dataset:
Development of Electronic Portfolios and Self-Asessment Based on High Order Thinking Skills in Pancasila and Citizenship Learning at Students of Al-Islam Bandung Polytechnic
Authors: Arifin Muh. Husen
Published: February 2021

Electronic portfolio and self-assessment are not yet an option in assessing learning outcomes for students so that student learning outcomes are still low. Although students try to get a superior assessment of the tasks carried out, students cannot complete the task properly. Students at the Al-Islam Polytechnic Bandung said that they had difficulty understanding and completing their assignments. So students can use electronic portfolio and self-assessment, with the maximum learning outcomes can motivate students to achieve learning goals by being able to measure their ability to think highly in Pancasila and Citizenship subjects. In the process, students must be able to have competence in assessing learning effectively. Students who have high thinking ability will have good cognitive abilities and representative effective abilities. In connection with this phenomenon, it is very important to be able to develop an electronic portfolio and self-assessment based on HOTS (high order thinking skills) so that students can have increased assessment skills and are very efficient in determining learning outcomes. This research method uses pre-test and post-test control group design. While data analysis includes tests and non-tests. The instruments used were the e-portfolio rubric, the student response questionnaire and the learning assessment observation sheet using HOTS. Then analyzed with descriptive qualitative. The purpose of this study can produce an electronic portfolio and self-assessment that continues to be developed as a lecturer reference to training students to have an independent assessment ability and to be able to use an electronic portfolio in each learning activity, becoming a reference for other researchers to conduct further research. The results of the research are students can develop themselves into independent students and have skills using electronic portfolio and self-assessment in HOTS-based learning.
The use of User-centered Design Canvas for Rapid Prototyping
Authors: Kautsar Irwan Alnarus , Ruslianor Maika M.
Published: February 2021

This paper presents the use of User-Centered Design Canvas to help students design the user experience (UX) on the designated Collaborative Projects. The Collaborative Project itself has been conducted by students with multi-discipline backgrounds. The User-Centered design itself was widely used as an approach to software development in order to achieve better alignment between the user experience and the business goal. Adopting Business Model Canvas, the User-Centered Design Canvas was introduced as an acceleration tool for rapid prototyping and ensures the effectiveness and efficient manner for the sake of user satisfaction. As the results from the questionnaire, more than 78% of users express the benefits of the current adaptation of User-Centered Design Canvas. Also from the Log Metric Analysis, users2 have completed a designated task under 5 minutes with minimum repetition. This indicates that the use of proposed adaptation is easy to use and shows the effectiveness of the User-Centered Design Canvas for rapid prototyping.
Correlation Between Indeks Plasticity (Pi) and California Bearing Ratio (Cbr) Value of Palangkaraya Soil
Authors: Handayani Noviyanthy , Saputra Norseta Ajie
Published: February 2021

CBR (California Bearing Ratio) is an important parameter to determine the bearing capacity of the soil. CBR testing in the laboratory requires a relatively large amount of time and cost. Therefore it is necessary to simplify the determination of CBR value. One of the parameters of land that can be used to get the CBR value is the soil plasticity index (PI). It is expected that after knowing the PI value, the CBR can be known. This study aims to obtain a correlation between PI and CBR for the Palangkaraya clay. The test was carried out at the Soil Mechanics Laboratory of the University of Muhammdiyah Palangkaraya. Clay samples were taken at 6 (six) locations in the City of Palangkaraya. The clay test results then performed a correlation of PI values to CBR with analytical methods and linear graph methods. From the analysis conducted the results of the correlation obtained using analytical methods and linear graph CBR = -0.2854 + 8.4816PI. The result of the correlation value using linear regression graphs value at R = 0,801 and using analytical correlation methods worth R = 0,895. From the two results, the smallest value for R value is R = 0,801. It can be seen that the correlation equation of the result of this test has a very high relationship when viewed from the benchmark correlation results (R = 0,80-1,00).
A Design for Three Phase Electronic Controller for Electric Motor Cycle Equivalent to 100-125 Cc Engine Power with Regenerative Braking System
Authors: Tsani Umar , Saepudin Asep , Sukamto Pria
Published: February 2021

Technology always have the potential to disruptive the society, especially electronics since this technology follows Moore Laws. Electric vehicle is predicted to change how individuals are going to do their daily commute. Electric motor cycle is an answer to eco-friendly transportation, economical in the operation and will be more affordable in the future for the people. One of the main component for this vehicle is the 3 phase motor controller. Three phase electric motor has an advantage of being light weight, low cost and more compact compare with dc motors with a comparable power. The design is featuring a regenerative braking system which brings back the mechanical energy back to the system on braking time hence a significant advantage to increase energy efficiency, since a major power lost is happening during braking on conventional vehicle. The design on purpose is using 100-125 cc equivalent of gasoline engine since this engine has the most market in Indonesia. Which is about 10 to 15 KW 3 phase AC motor.
Finding Novelty of Research with Systematic Literature Mapping (SLM)
Authors: Cahyo Winda Nur
Published: February 2021

The most challenging process in research at any fields is finding the novelty of the research being conducted. There are many models (such as SLR (Systematic Literature Review), K-Chart, Card System, Decision Tree, Mind Mapping) have been proposed in order to coup with this obstacle. However, most of the tools or models fails to fulfil the need of some researcher to visually present the complex result of literature review. This research proposes SLM (Systematic Literature Mapping), a proposed model that is able to visually present the result of a complex literature review in the form of a decision tree. The model is a combination of SLR (Systematic Literature Review) that has been well-known by researcher, with K-Chart. To verify the new proposed model, a case study is presented in this paper. The objective of the case study is to find the novelty in overhaul scheduling in a sugar milling industry in Yogyakarta.
Designing user interface of web-based e-commerce application
Authors: Heriyandi A , Reza R F , Albar C N
Published: February 2021

This study aims to provide guidance and examples in designing web interface of e-commerce applications that are good and easy to use by the users. This research used descriptive method by making a systematic description of the facts that refer to the object of research. Data collecting was carried out through literature study from journals, learning materials, and curriculum data. The result is that if users find it difficult to operate an application, the application will immediately be abandoned. In conclusion, this design has fulfilled the basic requirement of comfortable design and practibility.
Website-based Al-Quran memorization monitoring and evaluation system design
Authors: Suryana T , Oktaviany I , Dewi N P
Published: February 2021

This research aims to describe and analyze the system of monitoring as well as evaluating the progress of memorizing the Qur’an. Literature study, observation, and system design are used as methods in this research. With this method, we can create an accurate information system about the monitoring and evaluation of the progress in memorizing Al-Quran. As the results, this study obtained data such as the condition of the average number from Al-Quran memorization student (hafidz) and their progress. The creation of a monitoring system is very important because it can help the teacher to make decisions about what memorization methods need to be applied.
An Experimental Study of the Savonius Water Current Turbine by means of Myring Equation for n = 1
Authors: Setiawan P A , Santoso M , Indarti R , Ariwiyono N , Yuwono T , Widodo W A
Published: February 2021

This work has been done experimentally to the Savonius water current turbine by means of Myring equation for n =1. The myring for n=2 is called the conventional turbine with half circle or bucket. Experiment is tested in flume tank by 1.1 m of wide and 0.8 m of height. The free stream velocity is 0.22 m/s measured at 1.5 m from nozzle. The model is the Myring equation with n=1 by 0.4 m of height and 0.4 m of turbine diameter. The experimental study has investigated the torque coefficient and the power coefficient. The power coefficient has been called the performance coefficient. The experimental results shows that the Myring formula n = 1 have the performance coefficient higher than the conventional blade. The myring blade for n = 1 increases in about 42.88 % compared to the conventional blade.
Four-scroll chaotic attractor and four-scroll hyperchaotic attractor generated from a new four-dimensional dynamical system
Authors: Benkouider Khaled , Bouden Toufik , Yalcin Mustak E. , Sambas Aceng , Mujiarto  , Pahmi Muhamad Ali , Sutoni Akhmad , Widjajani
Published: February 2021

In this paper, a new 4-D hyperchaotic system with one equilibrium point is first introduced. It contains ten terms with three quadratic nonlinearities. Of particular interest is that this novel system can generate periodic attractor, quasi-periodic attractor, four-scroll chaotic attractor and four-scroll hyperchaotic attractor with the variation of one of its parameters. Major dynamical properties of the new system are investigated such as sensitivity to the initial conditions, dissipativity, equilibrium point stability, Kaplan-Yorke dimension, Lyapunov exponents spectrum and bifurcation diagram. In addition, an equivalent electronic circuit schematic is implemented using Multisim software; the obtained results confirm the feasibility of the proposed system.
Bending analysis of simply-supported sandwich beam using Chebyshev quadrature element method
Authors: Ge Meng , Zhao Yang , Huang Yixin , Ma Wenlai
Published: February 2021

Based on the higher-order sandwich beam theory, the Chebyshev quadrature sandwich beam element is established for the bending analysis of the simply-supported sandwich beam. Gauss Lobatto sampling is adopted as element nodes. The discrete governing equation of the sandwich beam is obtained by the principle of minimum potential energy. A series of numerical examples are carried out on simply-supported sandwich beams under sinusoidal loading. The results are compared with the finite element method, showing that the proposed method can yield very accurate displacements and stresses. This method is suitable for the static analysis of simply-supported sandwich beams with different materials and different geometric parameters.
Design of picking seedling device for plug seedling transplanter
Authors: Ge R Y , Kong B B , Wu J L
Published: February 2021

Plug seedlings are the main way of modern seedling cultivation in China. Aiming at the problems of low efficiency, high labor intensity and poor work quality for manual transplanting or semi-automatic transplanting of plug seedlings, a stable and efficient seedling picking device is designed for the automatic transplanting machine. It is based on the gear-cam-link composite mechanism to realize the seedling trajectory in accordance with the agronomic requirements. The mathematical model of the seedling picking device is established, and the theoretical profile equation of the cam groove and the actual picking trajectory equation are deduced. The 3D model and the virtual prototype model of the picking seedling device are constructed, and the simulation trajectory is obtained, using SolidWorks and ADAMS software. The simulation results show that the simulation working trajectory has good consistency with the theoretical trajectory.
Multi-target UAV path planning based on improved RRT algorithm
Authors: Ren Xueping , Tan Li , Jiaqi Shi , Lian Xiaofeng
Published: February 2021

When the Rapidly-exploring Random Tree (RRT) algorithm in the global path planning algorithm is used for autonomous online path planning of UAVs, there is a problem that the optimal path cannot be obtained. An improved RRT algorithm is proposed, including The dynamic constraints, heuristic search strategy, dynamic step fusion strategy, and the improvement of the selection method of changing new nodes under specific conditions. The simulation results show that the improved RRT algorithm can meet the premise of UAV dynamic constraints. Next, the optimal path planning for multiple goals is realized, especially in reducing the nodes in the random tree.
The effect of wall temperature on three-dimensional rotating detonation wave
Authors: Liu Pengxin , Li Chen , Sun Dong , Guo Qilong , Zhao Wei
Published: February 2021

The effect of wall temperature on the three-dimensional rotating detonation wave in an annular chamber is investigated by utilizing premixed hydrogen/air as the reactant and the improved delayed detached-eddy simulation method to evaluate the turbulent transportation. Four cases are set with different wall temperature, i.e. adiabatic wall, isothermal wall with 400K, 800K and 1200K. When using isothermal wall, there is no reactant deficit zone which appearing in the case with adiabatic wall. As the wall temperature increasing, the leading oblique shock will form at both side of the detonation front. When comparing the specific impulse with the adiabatic case, all the three isothermal cases have a better performance. And the lowest wall temperature case shows the highest specific impulse.
Investigation on noise generation of open cavity flow using Lagrangian coherent structures
Authors: Han Shuaibin , Luo Yong , Li Hu , Wu Conghai , Zhang Shuhai
Published: February 2021

The noise generation mechanism of an open cavity flow is investigated using Lagrangian coherent structures (LCS) together with dynamic mode decomposition and Helmholtz decomposition methods. The flow field of an open cavity with the length-depth ratio L/D = 2, Mach number Ma = 0.8 and Reynolds number Re = 2500 is first obtained through direct numerical simulation with 5-th order weighted essentially non-oscillatory (WENO) scheme. LCSs are then obtained from flow field reconstructed by the mean velocity field and the decomposed modes. The interactions between LCSs inside the shear layer and the squeezing zone are found to be important sound sources. The method efficiently isolates the structures responsible for the noise generation.
Development of unsteady background-oriented schlieren system in an indraft supersonic wind tunnel
Authors: Li Guoshuai , Wu Jifei , Kontis Konstantinos , Wit Stryczniewicz , Fan Zhaolin
Published: February 2021

To visualize the flow in the test section of an indraft supersonic wind tunnel in the University of Glasgow as long as possible, a background-oriented schlieren system was built up preliminarily. A MATLAB program based on a random dot algorithm developed in this study provides a fully customizable tool to generate background patterns with different sizes and dot densities. Background patterns produced by the in-house developed program then can be printed by a common ink-jet printer. To enhance the signal-noise ratio of the measurement system, white reflective film sheets, or semi-transparent paper can be employed. The correlation algorithm base on fast Fourier transform that is also applicable for PIV was chosen to process background oriented schlieren images. A validation test was performed to visualize the flow structure around a Pitot tube at M = 2.0. The experimental result proves that the BOS system established in this study is capable of visualizing the supersonic flow structure around the Pitot tube and sensitive enough to reveal weak density changes produced by the boundary layer, expansion waves, and weak oblique shock waves. Next, the current BOS system will be improved further by increasing the intensity of light sources to shorten the exposure time, using new cameras with better spatial resolution, and optimizing the background pattern.
Carrier phase double-difference GNSS spoofing detection technology based on generalized likelihood ratio
Authors: Yin Jidong , He Le , Lai Xuyang
Published: February 2021

In recent years, with the wide application of Global Navigation Satellite System (GNSS), the security problem of GNSS has attracted wide attention. Spoofing interference will become an important threat to the security of satellite navigation information because of its concealment. In this paper, we propose a new double antenna structure spoofing interference detection method according to the spatial characteristics of GNSS signal. The test statistics are constructed by the generalized likelihood ratio (GLR) theory, and the GNSS spoofing interference detection methods under the same direction spoofing interference and different direction spoofing interference are obtained respectively. The feasibility of this method is verified by simulation.
Research on dispersion control technology of thulium-doped fiber laser
Authors: Zhang Ning , Chen Bingjun , Chen Ming , Sun Huijuan , Luo Yang
Published: February 2021

Rare earth doped optical fibers have important applications in fiber lasers, amplifiers and sensors. The Tm-doped fiber laser made with Tm-doped fiber as gain medium can be used in optical communication system. Because the fiber itself has a cylindrical waveguide structure and the core diameter of the fiber is very small, it is easy to achieve high energy density pumping in the fiber. Fiber laser has low laser threshold and good heat dissipation performance, and its core diameter matches well with the communication fiber, forming the integration of transmission fiber and active fiber, which can be an important basis for all-optical communication. However, due to the dispersion of Tm-doped fiber laser, it will lead to the broadening of laser pulse and the degradation of laser quality, which seriously affects the quality of laser communication. In this paper, the causes of dispersion are analyzed, and a dispersion adaptive control system is designed. The experimental results show that the proposed dispersion compensation system can compensate the dispersion produced in the optical fiber laser to a certain extent, so that the laser pulse can return to normal state.This is of great significance for optical communication systems.
Multi-agent economic analysis in coping with novel corona-virus pneumonia
Authors: Chen Wenjing
Published: February 2021

This paper aims to find a way of allocating masks appropriately during the outbreak of COVID-19. By considering the goals of different perspectives such as mask producers, mask consumers and countries’ government, this paper constructs some mathematical models in order to maximize each group’s objective function. The model takes an assumption that the masks produced are all allocated without friction cost. Based on the model, it is demonstrated that the government plays an important role in mask allocation only after the initial stage of the outbreak of Covid-19. It is also shown that the optimal allocation plan of the mask market is influenced by the government action even if we do not consider direct interference of the government on the market, such as taxes, or price celling.
Research on cloud forging resource service selection optimization based on genetic algorithm
Authors: Zhou Kaijun , Hu Jichuan , Li Yuan , Wang Qian , Tong Yifei
Published: February 2021

As a concrete manifestation of “manufacturing as service”, cloud forging is a cross-integrated product of advanced manufacturing, information and emerging Internet of Things technology. To make full use of the manufacturing resources of cloud forging, it is of great importance to optimize the resource selection before scheduling. This research proposes a cloud forging resource service optimization strategy based on genetic algorithm. Taking into account the characteristics of cloud forging resource service optimization, sharing cost, interaction time, and service quality are selected as the three preferred indexes of cloud forging resource service, and these three indexes are quantified. The genetic algorithm is used to solve the cloud forging resource service optimization model, and the cloud forging resource service with the best performance is selected. Finally, an example is used to verify the effectiveness of the proposed method.
Research on the real-time positioning method of vector buoys in deep sea
Authors: Wang Zhizhuan , Zhang Mingwei , Li Ling , Li Guijuan , Chen Yunfei , Zhang Xuegang
Published: February 2021

Buoys are generally difficult to anchor in Deep-sea environment, at the same, due to the influence of long-term in the ocean environment, the location relationship between each other buoys will change, which may cause the traditional predicted method of buoy system trapped in losing efficacy. This paper researched on the problem of the buoy baseline length vary positioning method applicability, on the basis of this study, focused on the theoretical analysis and simulation of applicability to different positioning method. Following this, a realtime positioning method based on vector buoys system in deep sea is presented. Covered the applicability shortage of traditional underwater acoustic passive positioning, used multiple vector buoys to locate the target jointly, and provide a theory basis for real-time positioning function of vector buoys in engineering. The simulation results show that this method is feasible and effective.
Model Construction and Simulation of Switched Reluctance Motor Based on MATLAB/S Function
Authors: Sun Baojiang , Wang Jianhui
Published: February 2021

According to the mathematical model and direct torque control method of switched reluctance motor, the principle of direct torque control is introduced, and the overall simulation model is built under the matlab/Simulink environment. The complete program code is compiled by using M file, and then debugged and run. The results show that the control method and S function are reasonable and effective, and the torque ripple is small, so it can provide reference for the control of solid switched reluctance motor.
Prediction Model of Hypertension Complications Based on GBDT and LightGBM
Authors: Ji Xinpeng , Chang Wenbing , Zhang Yue , Liu Houxiang , Chen Bang , Xiao Yiyong , Zhou Shenghan
Published: February 2021

Complications caused by hypertension include heart failure, stroke, arteriosclerosis, etc. The prediction of hypertension complications is a hot issue, and it is difficult to predict it from a medical perspective. In this study, we aim to establish a prediction model of hypertension complications based on machine learning and data mining. We first proposed a GBDT-based feature selection method, which can screen out medical indicators that affect the hypertension complications. On this basis, we established a hypertension complications prediction model based on LightGBM. The results show that after 10-fold cross-validation and comparison analysis, the accuracy, F1 and AUC of the prediction model are 0.9189, 0.8888, and 0.9233 respectively, which are significantly better than other machine learning models. Therefore, the proposed method can accurately predict hypertension complications, so as to provide effective clinical auxiliary diagnosis for doctors and help them take preventive measures to reduce the impact of hypertension complications.
A Monte Carlo Simulation Study on: Deposition, Diffusion, and Aggregation
Authors: Chen Lei , Tan Nongdie , Ye Xianglin , Wu Wandi , Xiong Hailing
Published: February 2021

In this paper we present a Monte Carlo simulation program to implement a single model: deposition, diffusion, and aggregation (DDA). By using the simulation program, we show in the following that the DDA model generates a wide variety of fractal structures characteristic of different models such as diffusion-limited aggregation (DLA) or cluster-cluster aggregation (CCA), but such DLA and CCA models do not incorporate the possibility of cluster-mass dependent deposition. Starting from those kernels, aggregation laws to describe the interaction between free and deposited clusters were proposed and a simple cluster-mass dependent deposition law was employed. The simulation results are then discussed in the frame of the relative strength of parameters.
A Neighbourhood Encoding Framework for Deep Mining Heterogeneous Texts in Recipe-image Retrieval
Authors: Zhu Changsheng , Ji Nan , Yu Jin , Jiang Dazhi , Zheng Lin
Published: February 2021

Cross-modal retrieval usually fills the semantic gap between different modalities by sharing subspaces. However, existing methods rarely consider that the data in a certain modality may be heterogeneous when mapping multimodal data into a shared subspace. In addition, most existing methods focus on semantic associations between different modalities, while few approaches consider the semantic associations within a single modality. To address the above two deficiencies, we propose a Neighbourhood Encoding (NE) framework that mines the semantic association of data in the same modality, solves the problem of data heterogeneity by improving the semantic expression of a single modality. To verify the effectiveness of the proposed framework, we use two types of recurrent neural networks to instantiate the framework. Experiments show that the instantiated approaches outperform existing advanced methods in both text-to-image and image-to-text retrieval directions.
Data Analysis for Risk Prediction of Cervical Cancer Metastasis and Recurrence Based on DCNN-RF
Authors: Zhou Xiaohong , Li Weihong , Wen Zhicheng
Published: February 2021

In allusion to the problem of the low survival rate of cervical cancer metastasis and recurrence, combining the advantages of deep learning, a hybrid DCNN-RF method based on patched pathological image was proposed to predict the risk of metastasis and recurrence in cervical cancer patients. In order to improve the generalization ability of the model, according to the features, predicting result could be obtained from random forest, and the integration result was invoked as the result of haematoxylin and eosin pathological whole-slide images (WSI). The experimental results show that the model yielded an accuracy of 90.32% for prediction based on sliding window in cross-validation, and 0.83 AUC in the WSI.
Agent-based MULTI-USV Intelligent Command and Control Cooperative System
Authors: Song Yang , Chen Jian
Published: February 2021

This Paper on the basis of analysing the USV characteristics and Agent technology, inducts the Agent technology into the USV command and control cooperative system. According to the process of operation and command, set up the Agent architecture of the USV. Even more, set up the multi-USV command and control cooperative system. The system can control multiple USV simultaneously and make the USV have a high adaptation to the changing war environment.
5G Transceiver Component Cell-packing Fabrication for Wireless Data Transmission Using LTCC Technology
Authors: Liu Junchao , Liu Shuai
Published: February 2021

As an attractive electronic component fabrication method, LTCC technology has been widely used for the creation of highly integrated components in advanced manufacturing field. In this paper, a fabrication method of 5G transceiver component cell-packing was presented using LTCC technology. RF and capacitor chips were also bonded to the cell-packing for electrical performance test. The experimental results showed that the actual dimensions of cell-packing had little differences from the design dimensions, and the cell-packing coating had good solderability. Through electrical performance test, the core electrical performance indicators of 5G transceiver component, such as signal gain and output power, were reasonable over the whole operating frequency band. It indicated that the cell-packing can be applied to 5G transceiver component in satellite communications for wireless data transmission.
Theme Evolution of Researches on Knowledge Graphs Based on Visualization Analyses of Data
Authors: Chen Kejun , Xie Boyang , Deng Sanhong
Published: February 2021

The knowledge graph, as a significant branch of Library and Information Science, has also become a vital part of Computer Science. In a bid to reveal the research trend and hot topics of the knowledge graph domain, this paper collected latest data about literature on knowledge graphs from SCI-Expanded and EI Compendex database. This paper took advantage of Citespace for visualization analyses of data, which discerned the research topics, hot issues and theme changes of the knowledge graph domain over time. Through analyses, we conclude that the knowledge graph has developed greatly in both Library and Information Science and Computer Science. In Library and Information Science domain, researches focus on the issues like the plotting of knowledge graphs and visualization of knowledge. In Computer Science domain, hot issues are the techniques of constructing knowledge graphs, which include entity recognition, knowledge integration, etc., and their applications in Semantic Web. Among all the research topics, the domain knowledge graph is one of the paramount research trends. Compared with previous researches, this paper keeps up with the times and can reveal the theme evolution of researches on knowledge graphs more precisely.
Application of Collaborative Filtering Personalized Recommendation Algorithms to Website Navigation
Authors: Wu Hao
Published: February 2021

This article builds a personalized management and push design for the functional and performance requirements of website personalized recommendations. The system uses PHPstorm as the development platform and Hadoop distributed file system combined with DBMS design algorithm to achieve data level research, and uses a combination of customer-based collaborative filtering and project-based collaborative filtering to categorize clients and web pages in personalized recommendation, which improves the calculation and personalization of website navigation to a certain extent.
Technical Route and Application Data Analysis of New Energy Vehicle
Authors: Wang Zhibin , Zhang Shouzhen , Yan Jian , Pan Xiaobing , Xiang Chengxuan , Xu Jiafeng
Published: February 2021

With the gradual depletion of fossil fuels and the increasingly severe form of environmental protection, data analysis shows that the new energy vehicle industry has become the future industry competing for development all over the world. China has also established the development strategy and goal of the new energy vehicle in the future. This paper analyzes the technical route and application data of new energy vehicle and puts forward the development strategy of new energy vehicle industry in view of the current situation and existing problems of the development of new energy vehicle in China. It is necessary to strengthen the formulation of national standards for energy vehicle industry, pay attention to core technology breakthroughs and parts research, improve infrastructure construction, constantly improve the business promotion mode, so as to promote the rapid development of new energy vehicle industry in China.
Research on Intelligent Route Planning Based on Ant Colony Algorithm
Authors: Li Haiying
Published: February 2021

In this paper, we propose a zoning plan for reasonable travel time for self driving travelers. There are 201 5A scenic spots in the country. Travelers who want to visit all scenic spots in the face of many time constraints need to optimize travel routes to ensure maximum travel income. Based on this idea, an optimal path analysis based on ant colony algorithm is proposed. After considering time constraints, the time window constraint is transformed into a target function. Constraint, the hard time constraints which must satisfy the limit of driving time limit and the limit of the opening time of the scenic spots are transformed into soft constraints, and the improved ant colony algorithm is used to iterate.With the help of the improved ant colony algorithm, the optimal path selection satisfying the time constraint is obtained. Taking Jiangsu Province as an example, this article draws a tourist route map of Jiangsu province.
Regional Credit Environment Evaluation Based on Analytic Hierarchy Process (AHP) Method and Fuzzy Comprehensive Evaluation (FCE)
Authors: Xie Hengxin , Ma Jun , Fu Xiaoran , Tian Yuanjun
Published: February 2021

Taking the data of the sixteen prefecture-level cities in Shandong Province as an example, this paper attempts to construct regional credit environment indicators and quantify these indicators. The Analytic Hierarchy Process (AHP) method and Fuzzy Comprehensive Evaluation (FCE) have been used to empower the indicators. Meanwhile, this paper has obtained the AHP score through calculation. The corresponding credit ranking has been given using the factor analysis. The research result shows that the credit environment evaluation scores of Shandong eastern coastal cities centered on Qingdao and neighboring cities centered on provincial capital Jinan are often higher than those of inland cities such as southwestern Shandong and northwestern Shandong. The construction of regional credit environment should be based on economy, culture and government. Three aspects go hand in hand. On this basis, this paper puts forward the feasible countermeasures and suggestions for constructing regional credit environment from the perspective of policy.
A Long Short-Term Memory Network-Based Intrusion Detection Method for Power Grid Middle Platform
Authors: Ding Zhengyang , Wang Jijun , Cheng Yiqing
Published: February 2021

The power grid middle platform data has the feature of time-correlation, high dimensionality, and susceptibility to external factors. Based on the inherent characteristics of the power data and the theory of Long Short-Term Memory networks (LSTM), this paper proposed a stacked-LSTM based intrusion detection algorithm for power grid middle platform data. Technically, the strategy of constructing a dataset with replacement is adopted firstly, thus K sets of data is constructed. Then, a three-layer LSTM network is employed to conduct the feature extraction of high-dimensional data. Meanwhile, a two-layer fully connected hidden layer is used to generate a neural network and achieved user feature data matching. The high probability events are used to classify the node that appears the most in the results of the K data sets. Finally, experiments on real dataset proved that compared with traditional algorithms, the proposed algorithm has improved detection accuracy while reduced false alarm rates.
Distance Measurement Method for Obstacles in front of Vehicles Based on Monocular Vision
Authors: Gao Weiyue , Chen Yutuo , Liu Yang , Chen Biao
Published: February 2021

This paper proposes a new method based on monocular vision to detect and range obstacles in front of the vehicle for anti-collision warning during driving. Firstly, the deep learning object detection YOLOv4 algorithm is used to detect various obstacles in front of the vehicle to obtain the category and location information of the obstacles. Then an improved edge detection algorithm is used to adjust the position of the detection frame to improve the object positioning accuracy of the detection algorithm. Next, according to the camera imaging principle and geometric relationship, conversion model from the three-dimensional coordinates of the road surface to the two-dimensional coordinates of the image plane is obtained and distance measurement is performed. Finally, the cubic curve fitting of the obtained measurement data is performed, and the distance measurement process and algorithms are optimized to improve the distance measurement accuracy. The average error in the range of 50m is 0.54m, and the average error in the range of 80m is 0.78m. Through experimental analysis and comparison, the results show that the method in this paper can achieve accurate and effective monocular vision ranging.
A Clock Synchronization Algorithm for the Satellite System Based on MF-TDMA
Authors: Zhang Min , Duan Linlin , Gong Kexian , Liu Xiaoyan , Cheng Qian
Published: February 2021

In order to ensure microsecond slot scheduling, all terminals must maintain high precision of time synchronization in MF-TDMA(Multi-Frequency Time Division Multiple Access) satellite communication system. Due to the different frequency of crystal oscillator at the terminal, the absolute value of the clock deviation is constantly increasing, so a clock synchronization algorithm is required to keep the time synchronization of the satellite system. The traditional satellite clock synchronization algorithm minimizes the clock error through periodic synchronization, but it only considers the phase offset, not the crystal frequency offset, the synchronization accuracy is low and waste of bandwidth resources. Based on the traditional satellite clock synchronization, this paper proposes a gradient descent algorithm for the satellite system based on MF-TDMA(GDAS), adding clock frequency offset prediction and compensation mechanism to improve clock synchronization accuracy and bandwidth resource utilization rate. The simulation results of the proposed algorithm has optimized the precision performance of clock synchronization.
A Low Noise 28Gbaud/s Linear PAM4 Receiver Front-End for Optical Communication Applications in 0.13μm BiCMOS Technology
Authors: Li Ming , Chen Yingmei , Hu Junpeng , Guo Chao
Published: February 2021

This paper presents a low noise 28 Gbaud/s linear receiver front-end for fourth-order pulse amplitude modulation (PAM4) signal applied in the field of optical communication. The designed receiver front-end includes a transimpedance amplifier(TIA), an automatic gain control (AGC) and a DC offset cancellation (DCOC) circuit. The pseudo-differential structure of the TIA is designed to achieve low noise. The resistance and capacitance degradation technology are introduced in the variable gain amplifier(VGA) and the equalizer(EQ) to improve linearity and optimize the bandwidth. In the AGC mode, the feedback loop controls the output amplitude to be a desired value within a large range of input current. The PAM4 optical receiver front-end achieves a maximum differential transimpedance gain of 76 dBΩ and -3dB bandwidth of 27 GHz. The equivalent input noise current density with the front-end circuit is

11.2

pA
/

Hz

. In 0.13µm BiCMOS technology, the PAM4 front-end chip consumes 200 mW with a 3.3V voltage supply.
A0 Mode Excitation and Defect Detection in Aluminum Beam Structure
Authors: Li Ziming
Published: February 2021

As a method to realize the defect detection in beam structure, this paper constructs an EMAT-laser detection system to detect the notch defect in an aluminum beam. EMAT is designed as a transmitter to generate single Lamb wave mode. A high precision laser detector is used as a receiver to obtain the received signals. The defect is localized and quantified with the help of space-frequency-wavenumber analysis. The evaluated depth of the defect is 2.006 mm, while the actual size is 2 mm. It shows good agreement between the evaluated result and actual size, the error is only 0.3%. This method also can be used in the evaluation of defect in other materials.
A Yokeless Axial Flux Induction Motor for Electric Vehicles Based on Grain-oriented Silicon Steel
Authors: Huang Pinglin , Li Hang , Yang Chen
Published: February 2021

A novel axial flux induction motor is proposed as the driving machine for electric vehicle, the motor consists of two rotors and one yokeless stator. Benefit from this structure, grain-oriented silicon steel can be used to reduce the weight and improve efficiency. The present paper provides the basic topology of the motor, discussing the design method and analyzing the performance. A prototype is designed, considering the 3D finite element method is time-consuming and inefficient, analytical calculation method is deduced to calculate the performance of the prototype, the results agree with those obtained by finite element calculation, that verifies the effectiveness of this method.
FACTORS AFFECTING THE EFFECTIVENESS OF MAINTENANCE IN POSTGRADUATE HOSTELS IN HIGHLY RANKED NIGERIAN UNIVERSITIES
Authors: Osazuwa O.N. , Iroham C. O. , Oluwunmi A. O.
Published: February 2021

This paper examined factors affecting efficient maintenance of postgraduate hostels in highly ranked Nigerian Universities. The study population consists of selected top-ranked universities in south-western Nigeria according to times higher education ranking year 2020 namely: Covenant University, University of Ibadan and University of Lagos. The sample size was made up of 120 students, 40 selected from each institution based on convenient sampling techniques. A well self-structured questionnaire was administered as an instrument to collect relevant data appropriate for the survey. Out of the 120 questionnaires distributed, the entire 120 were retrieved. The aim of this paper is to determine the major factors that affect efficient maintenance in Postgraduate hostels. The study which is a survey collated data that were analyzed using descriptive statistics on an excel spreadsheet with the aid of the SPSS software. The findings showed that response time is a major factor that affects efficient maintenance in the hostels which could affect students comfort. The study recommends that the universities should create a special facility management office in each of the postgraduate halls of resident’s order than the existing facility management team and employ facility management professionals. That way, students will conveniently have easy access to the team so as to lay their complaints. The university management should also create an electronic customer service platform for laying down complaints and collecting feedback for progress of work done, while evaluation of Student’s occupancy should be a routine exercise.
Knowledge management capabilities -an empirical investigation
Authors: Ogunbanwo A. S. , Okesola J. O , Sheryl Buckley
Published: February 2021

Many authors have worked on the impacts of KM in business sector but very few on its influence on academic performance (AP). The studies on KM concept and its applications suggested that both process capability and strategy capability could drive innovation and improve institutional performance. However, these studies were not empirically validated thereby subjecting their findings to dispute. Grouping KM Capabilities into three, and adopting Survey method where questionnaires were administered to extract data from 10 Nigerian universities, this study empirically examines the relationship amongst the KM capabilities components and their influence on AP. SPSS was used to the data. Frequency and percentage count were used to analyse the demographic data while factor analysis, Pearson correlation and multiple linear regression were used for the hypotheses. The results showed that there is a significant relationship amongst the KM capabilities components and that a positive linear relationship exists between the KM capabilities and the key AP indicators thereby suggesting that KM capabilities has a positive influence on AP. Nigerian institutions are to be giving more attention to Enabler Capabilities which proved to be the most influencing factor amongst the indicators.
Seasonal surface refractivity patterns in the part of Lagos-Nigeria
Authors: Emetere M.E. , Afolalu S.A. , Abodunrin T.J.
Published: February 2021

The surface refractivity(SF) is essential in estimating the performance of terrestrial radio links. In the troposphere, there are lots of meteorological updraft and downdraft that influence the refractive index. In this study, we examine the seasonal variation of an emerging community in Lagos to design a reliable and efficient radio communication system based on the meteorological parameters.Thirty-nine years dataset between 1980-2018 was used to examine both the surface refractivity and the meteorological drivers that determine the SF patterns. It was observed that early wet season and late dry season were seen to have higher SF values, i.e., 262.03 N-unit and 262.07 N-unit respectively, while early dry and late wet had lower SF, i.e., 261.71 and 261.76 respectively. It is now possible to use the weather forecast to predict the likely SF pattern over the tropics.
Assessing Transportation Logistics for White Shrimp (Nematopalaemon hastatus) Marketing Using ArcGIS Network Analysis
Authors: Omobepade B. P. , Adelabu S. , Okello T. , Adagbasa E.
Published: February 2021

This study assessed transportation logistics for prospective consumers and marketers of white shrimp (Nematopalaemon hastatus) within a 500 km buffer to processing and marketing areas in Ondo State, Nigeria using ArcGIS network analyst tool. The result indicated that shorter routes between the towns and major shrimp market at Igbokoda provided buyers with a lower budget for logistics and product cost compared with higher budget computed for longer routes between the towns and Ugbonla waterside, Nigeria. However, due to lower price of smoked shrimp at processing areas, shrimp product would get to the towns/cities within the buffer per kilogramme at a lower cost compared to products directly sourced from marketing areas (Igbokoda). Thus a typical consumer/marketer within the buffer was expected to budget an average of $42-$110 (12,810-35,500) and $59-$123 (17,995-37,515) for 10.42kg of smoked shrimp from processing areas in a typical peak and off-peak month respectively. In the alternative, they are expected to budget an average of $50-$110 (15,250-33,550) and $60-$125 (18,300-38,125) to source same quantity of the species from Igbokoda in a typical peak and off-peak month respectively. Developing a shrimp market at Ugbonla waterside, Nigeria would open the community for more economic development and attraction due to easy accessibility to shrimping and processing areas. Therefore, prospective shrimp marketers and consumers within the 500km buffer who are interested in accessing this highly nutritional species and other aquatic products from the processing and marketing areascould be guided by this information for effective trade and marketing.