Robotic lawn mowers available in markets are much more complicated with high cost, hence, a new robot is designed in the research. In detail, the control system is made up of Arduino Mega2560 and 11 sensors and the robot works with four wheels （two front and back wheels） driven by an electric motor. Furthermore, the platform of lawn-mowing is designed semicircle, equipped with three small high- speed and low-power electric motors; the cutting distance is determined by width of motherboard. In addition, the hardware of the system is made up of circuit control and working machines, of which the former includes a single chip unit, a wireless remote control, a sensor unit, an infrared array module, a driving module of electric motor, a display unit and a power source; the latter includes a mowing platform and a sensor window. In addition, the related software is programmed using C language and modular programming involving PWM program, Hall sensor program, liquid-crys- tal display, tilt program, supersonic sounding program, infrared obstacle-avoidance program, parking program, and remote control program. After hardware was adjust- ed, the robotic lawn mower was tested for multiple times in a standard lawn, and a satisfied effect was achieved.
With principles of reliability, independence, practicality and economical effi- ciency, a set of intelligent fire alarm system based on AVRmega128 single chip microcomputer was designed to solve problems of fire alarm system in many large- scale warehouses. Using advanced flame sensor, 485 bus communication, computer interactive software and related peripheral devices, this intelligent fire alarm system has functions of sound-light alarm and intelligent fire extinguishing. The human-com- puter interactive software was adopted for the remote control of the alarm main control panel through the 485 bus communication. This design of intelligent fire alarm system shows high reference and practical value to the development of intel- ligent alarm products with high integration and high reliability.
低能离子注入技术和方法已广泛应用于微生物诱变育种,为了进一步理解低能N+注入原核微生物与真核微生物细胞的离子输运过程与效应,本文根据腊样芽孢杆菌和酿酒酵母菌的化学组成与细胞结构,建立了两种简化的微生物靶材料模型,利用Monte-Carlo方法计算了能量15 Ke V的N+注入在两种不同类型微生物细胞中的离子射程分布、径迹结构、能量沉积及靶损伤情况,比较了N+注入对微生物细胞的损伤效应,对芽孢杆菌死亡率高于酵母菌死亡率的机理进行了理论分析。
为了进一步理解低能N+注入在沙漠寡营养细菌(DOB)系统发育与进化中的作用,本研究基于DOB基因组De novo测序数据,应用生物信息学方法对3株离子束重组菌株DOB073、DOB113和DOB981的16S r RNA基因的突变与进化进行了分析。分析表明,3株离子束重组DOB的16S r RNA基因拷贝数均比原始菌株增加了5个,并分别在C1区、V1区、V2区、V4区、V6区、V7区和V9区发生了碱基突变。进化分析显示DOB981的进化速度快于DOB073和DOB113。16S r RNA的保守二级结构预测表明,9个保守二级结构所处碱基位置分别为:80~120、120~240、240~360、360~480、400~520、640~760、760~880、800~920和1 420~1 540。本研究为低能离子注入介导的原核微生物进化提供了直接的分子证据。
