Narrow Results

The increasing environmental pollution and serious shortage of energy and resources have become big problems in human society in the recent years. Exploration of novel renewable and biodegradable materials based on biomass and construction of biomass-based energy-related applications have received more and more attention. Cellulose is the most abundant biomass on earth. Especially, nanocellulose possesses excellent mechanical, thermal, and optical properties. In this chapter, we review the recent advances in nanocellulose-based energy conversion materials, including piezoelectric materials, loudspeakers, antenna, phototransistors, organic light-emitting diodes (OLEDs), and touch screen.

The design of spray robot control system introduced a kind of servo motor and other intelligent technologies based on PLC and touch screen. To complete the spraying operation, the function and implementation of the control system required to be based on the geographical environment of the field, crop growth, the situation of crop diseases and insect pests, and other characteristics. This system supports the relatively advanced PC, mobile phone, wireless remote control to make the control simpler and convenient. The experimental results show that the control system can meet the requirement of spraying job based on intelligent spray robot for better achievement of the required desired results, so that the control system has a wide range of practical value and application prospect.

Touch screens have been widely used in many kinds of electronic products. For many capacitive touch sensing devices, they always suffer from a variety of electronic signal noises. So when a finger touches the screen, it is difficult to calculate the exact touch position on the screen. We proposed an algorithm of calculating the position in a self-capacitance touch screen to alleviate noise interference. We determined the touch region by calculating the differences between current data and reference data in every channel. In the touch region we divided it into different ranges to calculate the touch point. The simulation results show that the algorithm that we proposed can alleviate noise interference effectively and obtain the exact positioning on touch screen accurately.