Content of Computer and Automation in our journal

Published in last 1 year |  In last 2 years |  In last 3 years |  All Please wait a minute... For Selected: Download Citations EndNote Ris BibTeX Toggle Thumbnails Select Design of Real-Time Plant Growing Environment Monitoring System Based on Mobilephone App LI Deying, QIU Yangfan, YI Tao, XIAO Yiyang Journal of Jishou University(Natural Sciences Edition)    2021, 42 (3): 21-28.   DOI: 10.13438/j.cnki.jdzk.2021.03.004 Abstract （983）      PDF（pc） （5161KB）（444）       Knowledge map    Save In view of the difficulty in monitoring the temperature and humidity of plant growth environment, a remote real-time monitoring system for air temperature and humidity and soil humidity is designed. The system uses stm32f103c8t6 microcontroller as the microprocessor, collects air temperature and humidity and soil humidity through temperature and humidity sensor, and then uploads the collected data to the mobile phone through Wi-Fi module, and transmits the data to the cloud server through the mobile phone App, so as to realize the remote real-time monitoring of environmental temperature and humidity. The simulation results show that the monitoring system has strong real-time performance and high intelligence, which meets the requirements of temperature and humidity control of plant growth environment in agricultural production. Reference | Related Articles | Metrics | Comments（0） Select Watermarking Algorithm Based on 3D Wheelbase TANG Han, CHEN Liuyang, LU Rongbo Journal of Jishou University(Natural Sciences Edition)    2021, 42 (3): 29-33.   DOI: 10.13438/j.cnki.jdzk.2021.03.005 Abstract （687）      PDF（pc） （2178KB）（182）       Knowledge map    Save In order to obtain watermarking with superior robustness and invisibility, a watermarking algorithm based on 3D wheelbase is proposed. Firstly, the watermark image is encrypted by calculating the encryption technology of ghost imaging, then the 3D wheelbase of the image is defined on the basis of 3D histogram, and the set of all pixel points when the wheelbase is maximum is obtained. Finally, the best point in this set is found as the embedding position of the watermark through particle swarm optimization algorithm. Simulation experiments of robustness and invisibility  show the effectiveness of the proposed algorithm. Reference | Related Articles | Metrics | Comments（0） Select Self-Adaptive and Real-Time Pre-Fall Detection XIE Jing, YANG Panlong, WEI Xing Journal of Jishou University(Natural Sciences Edition)    2021, 42 (3): 34-40.   DOI: 10.13438/j.cnki.jdzk.2021.03.006 Abstract （511）      PDF（pc） （555KB）（240）       Knowledge map    Save To detect falls before falling and to provide basis for fall prevention, this study proposes a self adaptive pre-fall detection method that combines SVM and threshold method. Experiment results show that this method has a longer interval time than the artifical threshold and SVM, and has higher recall rate and specificity than SVM. The self-adaptive pre-fall detection method can detect the fall before the fall impact. Reference | Related Articles | Metrics | Comments（0） Select Design  of Surface Garbage Cleaning Robot JIANG Xiaoyu, CHEN Jialiang, ZHOU Haolan Journal of Jishou University(Natural Sciences Edition)    2021, 42 (3): 41-44.   DOI: 10.13438/j.cnki.jdzk.2021.03.007 Abstract （3351）      PDF（pc） （2097KB）（950）       Knowledge map    Save At present, the pollution of the waters is very serious and is of great concern to the general public. In particular, inland lakes, such as: campuses, community viewing lakes, scenic areas to play with the lake, the prevalence of water garbage difficult to clean up and safety issues. Now the treatment of these surface garbage is basically to take artificial salvage mode, this treatment has great safety risks, and time-and-effort, so the surface garbage cleaning robot came into being. Based on the ardoino uno board as the main control core, this design uses Bluetooth module connection control, including control devices, power units, collection devices and storage devices. The use of conveyor belt to collect garbage instead of the traditional salvage mode, with fast salvage speed, low labor intensity, high efficiency characteristics, and low cost, small size, high efficiency, has a strong practicality. Reference | Related Articles | Metrics | Comments（0） Select Online Examination and Practice System for Java Programming CHEN Min, TANG Huiyi Journal of Jishou University(Natural Sciences Edition)    2020, 41 (5): 14-18.   DOI: 10.13438/j.cnki.jdzk.2020.05.004 Abstract （909）      PDF（pc） （882KB）（325）       Knowledge map    Save An online examination and practice system was designed and developed for the key course Java Programming in computer software engineering major in university. The system not only realizes the main functions of the online examination system, but also adds various practical features to meet the specific examination requirements, making itself applicable for  adapt to various examination environments and flexible examination forms. Reference | Related Articles | Metrics | Comments（0） Select Mirror Extreme Learning Machine Based on Denoising Autoencoder LONG Qiuqing, LIAO Bolin, YIN Yumin Journal of Jishou University(Natural Sciences Edition)    2020, 41 (5): 19-25.   DOI: 10.13438/j.cnki.jdzk.2020.05.005 Abstract （957）      PDF（pc） （433KB）（317）       Knowledge map    Save A mirror extreme learning machine (MELM) is designed aiming at the problem that a large number of hidden layer nodes are needed to guarantee the classification performance of the extreme learning machine(ELM) in the high-dimensional and noisy data set. The MELM uses the pseudo-inverse method to determine the input weights, and randomly generates output weights and biases. When classifying data, it requires only a few hidden layer nodes. In order to improve the classification performance and noise immunity of the MELM, it is combined with a denoising autoencoder (DAE). The DAE is used to extract features from the input data, and the extracted features are used as the input data of the MELM, and finally the  network training is triained. In the noiseless and noisy MNIST, Fashion MNIST, Rectangles and Convex data sets, the MELM based on the DAE is  compared  with the algorithms ELM, PCA-ELM, SAA-2 and DAE-ELM. The experimental results show the superiority of the algorithm: the MELM based on the DAE uses the least number of hidden nodes in the network for classification, and the overall performance is the best. Reference | Related Articles | Metrics | Comments（0） Select Design of Low Speed Driving Warning System for Electric Vehicles Based on MKE06Z64 XIANG Nan, ZHU Jie, GE Shengsheng Journal of Jishou University(Natural Sciences Edition)    2020, 41 (5): 26-31.   DOI: 10.13438/j.cnki.jdzk.2020.05.006 Abstract （908）      PDF（pc） （513KB）（545）       Knowledge map    Save In order to solve the problem of traffic accidents caused by no warning  sound in low-speed driving of electric vehicles, the author designs a low-speed driving warning system of electric vehicles based on MKE06Z64. The system mainly consists of main control module, power supply module, CAN module, LPF module, power amplifier module and storage module (standby) and so on. The main control module receives instructions from the CAN bus of electric vehicle, and then analyzes the instruction information to obtain vehicle condition information such as gear position, speed, enabling signal and audio source selection. Finally, the main control chip finds the corresponding sound source according to these information, and outputs the warning sound by PWM. Reference | Related Articles | Metrics | Comments（0） Select A New Zigbee-Based Fruit and Vegetable Basket Control System Featured with Intelligent Weighing and Pricing ZHU Xiaojun, GAOJiayi, HUANG Zuoyao, LIU Shumin, LI Quan Journal of Jishou University（Natural Sciences Edition)    DOI: 10.13438/j.cnki.jdzk.2020.04.005 Select Reactive Power Optimization of Power System Based on Phasor Particle Swarm Optimization WANG Lin Journal of Jishou University（Natural Sciences Edition)    DOI: 10.13438/j.cnki.jdzk.2020.04.006 Select Reader Behavior Analysis Based on Gray Wolf Optimization Clustering Algorithm JIANG Yichu Journal of Jishou University（Natural Sciences Edition)    DOI: 10.13438/j.cnki.jdzk.2020.04.007