Artificial Intelligence (AI) has undoubtedly been one of the most important buz-
zwords over the past years. The goal in AI is to design algorithms that transform com-
puters into “intelligent” agents. By intelligence here we do not necessarily mean an
extraordinary level of smartness shown by superhuman; it rather often involves very
basic problems that humans solve very frequently in their day-to-day life. This can
be as simple as recognizing faces in an image, driving a car, playing a board game, or
reading (and understanding) an article in a newspaper. The intelligent behaviour ex-
hibited by humans when “reading” is one of the main goals for a subfield of AI called
Natural Language Processing (NLP). Natural language 1 is one of the most complex
tools used by humans for a wide range of reasons, for instance to communicate with
others, to express thoughts, feelings and ideas, to ask questions, or to give instruc-
tions. Therefore, it is crucial for computers to possess the ability to use the same tool
in Order to effectively interact with humans.
%this is an example demonstrating the Radial Basis Function
%if you select a RBF that supports it (Gausian, or 1st or 3rd Order
%polyharmonic spline), this also calculates a line integral between two
%points.
目前電動汽車主要以鋰電池作為動力來源,為了提高鋰電池的使用時間和安全性,為鋰電池提供安全良好的運行環境,電池管理系統應運而生。BMS主控單元基于S32K144汽車級單片機,通過主從式網絡控制結構能夠對鋰電池的各個參數進行采集與分析。采用擴展卡爾曼濾波對電池的荷電狀態(SOC)進行估算,克服普通估算方法無法避免電池內阻誤差的缺點,通過Matlab/Simulink軟件仿真驗證可使估算誤差達到2%以內。At present,electric vehicles mainly use lithium batteries as the power source.In Order to improve the running time and safety of lithium batteries,a safe and good operating environment for power batteries is provided,and a battery management system(BMS) has emerged.The BMS main control unit is based on the S32K144 automotive-grade control chip.Through the master-slave network control structure,it can collect and analyze the various parameters of the lithium battery.The Extended Kalman Filter(EKF) is used to estimate the state of charge(SOC) of the battery,which overcomes the shortcomings of the internal estimation method that cannot overcome the internal resistance error of the battery.It can be verified by Matlab/Simulink software simulation.The estimation error is within 2%.
本系統采用電動機電樞供電回路串接采樣電阻的方式來實現對小型直流有刷電動機的轉速測量。該系統主要由二階低通濾波電路,小信號放大電路、單片機測量顯示電路、開關穩壓電源電路等組成。同時自制電機測速裝置,用高頻磁環作為載體,用線圈繞制磁環,利用電磁感應原理檢測電機運行時的漏磁,將變化的磁場信號轉化為磁環上的感應電流。用信號處理單元電路將微弱電信號轉化為脈沖信號,送由單片機檢測,從而達到準確測量電機的速度的要求。In this system, the sampling resistance of armature power supply circuit is connected in series to measure the speed of small DC brush motor. The system is mainly composed of second-Order low-pass filter circuit, small signal amplifier circuit, single-chip measurement and display circuit, switching regulated power supply circuit and so on. At the same time, the self-made motor speed measuring device uses high frequency magnetic ring as the carrier, coil winding magnetic ring, and electromagnetic induction principle to detect the leakage of magnetic field during the operation of the motor, which converts the changed magnetic field signal into the induced current on the magnetic ring. The weak electric signal is transformed into pulse signal by signal processing unit circuit, which is sent to single chip computer for detection, so as to meet the requirement of accurate measurement of motor speed.
近年來反季節種植已成火熱趨勢,溫室大棚的普及十分迅速,而溫室大棚對自動化、智能化的要求也越來越迫切,本系統將溫室大棚的溫濕度、二氧化碳濃度各個方面的檢測,通風、澆灌、溫度、噴灑農藥等各個方面的控制進行綜合系統研究,實現溫室大棚對自動化、智能化的要求。這一系統是基于單片機控制的智能檢測,控制系統包含單片機主控模塊、感應檢測模塊、傳感模塊,顯示、控制模塊等[1]。從而提高溫室大棚的種植效率,減少勞動力,提高利潤等。In recent years,counter-season planting has become a hot trend featuring the rapid popularization of greenhouse and urgent requirement for the automation and intellectualization of greenhouse.This paper offers a comprehensive and systematic study of the monitoring of temperature,humidity and carbon dioxide concentration in the greenhouse and the control of ventilation,irrigation,temperature and pesticide spraying in Order to achieve automation and intellectualization in greenhouse.This system is based on the intelligent detection controlled by single chip computer with the control system including the main control module,induction detection module,sensing module,display and control module of single chip computer,which is effective in improving planting efficiency of greenhouse,reducing labor force and increasing profits.
為設計高效率、低損耗的PFC電路,本文基于UCC28019進行電路設計。以UCC28019輸出的PWM波形來控制Boost升壓斬波為核心電路,使電路中的電容交替地充放電、電感交替的儲存和釋放能量,最后實現在輸入AC20V~24V電壓情況下穩定輸出DC38V。測試結果表明,系統實現效率為95%左右,電壓調整率小于1%,電源功率因數0.99。交流輸入電壓為19.0-25.8 V時,輸出直流電壓穩定性較好,電感無明顯嘯叫且紋波小,具有一定的帶負載能力和實用性。In Order to design the PFC circuit with high efficiency and low loss,this paper designs the circuit based on UCC28019.The PWM waveform output by UCC28019 is used to control boost chopper as the core circuit,which alternately charges and discharges capacitors,stores and releases energy by inductors,and finally achieves stable output of DC38 V under the input voltage of AC20 V~24 V.The test results show that the system achieves about 95% efficiency,the voltage adjustment rate is less than 1%,the power factor is 0.99,and the AC input voltage is 19.0-25.8 V.The output DC voltage stability is good,the inductance has no obvious whistle and the ripple is small,so it has certain load capacity and practicability.
實驗教學一直是工科教學中不可或缺的組成部分,對培養學生的動手能力,獨立思考能力,創新思維與發散思維具有重要的作用。針對目前電路教學實驗中電路仿真實驗與實物電路實驗各自獨立,無法統一問題,提出將仿真電路實驗與實物電路實驗有機的結合同步操作,并使用Web發布實現遠程實驗操作。采用Multisim作為電路實驗仿真平臺,NI Eiviss II作為實物電路實驗硬件平臺,運用LabVIEW整合Multisim電路仿真實驗與實物電路實驗,實現仿真與實物實驗有機結合,兩種實驗可同步進行。學生在仿真實驗中先可探索實驗,然后做實物實驗。同時運用LabVIEW開發出實驗過程人機交互操作接口界面,使用過程中效果良好。Experimental teaching has always been an indispensable part of engineering education.And it always plays an important role in cultivating students'practical ability,independent thinking ability,innovative thinking and divergent thinking.But simulation experiment and physical experiment cannot be unified in the circuit teaching experiment at present.In Order to solve this problem,this paper proposes to combine organically the simulation circuit experiment with physical circuit experiment,and synchronously operate them.This paper uses the WEB publishing to achieve remote experimental operation.Multisim is used as the circuit simulation platform,and NI Eiviss II is used as the physical circuit hardware platform.Multisim circuit simulation experiment and physical circuit experiment are implemented by LabVIEW to realize the combination of simulation experiment and physical experiment.Students do explore experiments in simulation experiment firstly,and then do physical experiment.And this paper uses LabVIEW to develop the experimental man-machine interface.
為了提高超高頻RFID系統中閱讀器在低信噪比的情況下仍具有較高的識別能力,提出一種基于FPGA系統結合軟件無線電方法實現超高頻RFID射頻前端電路方案。超高頻射頻識別系統必須符合EPC Class 1generation 2標準,所設計的電路系統以Xilinx公司的XC6SLX16-2CSG324FPGA芯片為硬件基礎,將數字基帶調制解調和中頻濾波電路在FPGA系統中設計實現,重點闡述了射頻前端電路的設計結構、AD/DA轉換電路,以及數字濾波器的設計。實驗結果表明,所設計的超高頻RFID閱讀器簡化了前端電路系統結構,提升了穩定性,增強了抗干擾能力。該電路系統在信噪比較低的情況下,能夠較好地實現915MHz頻率的射頻接收和發送。In Order to improve the reader UHF RFID system still has a higher ability to identify,in the case of low signal-to-noise ratio.The UHF RFID systems must comply with EPC Class 1 generation 2 standard.In this paper,the design of the circuit system based on Xilinx's XC6SLX16-2CSG324 FPGA chip,and presents UHF RFID RF front-end circuit with software radio based on FPGA system.Digital baseband modem and IF filter circuit is designed and implemented in the FPGA system,and focused on designing the structure of the RF front-end circuit,AD/DA conversion circuits,and digital filter.Experimental results show that the UHF RFID reader de...