Problems of Family Farms in China and Countermeasures

In the Communiqué of the Third Plenary Session of the 18 th Central Committee of the CPC,it proposed the tasks of accelerating the building of a new type of agricultural operation system,endowing farmers with more property rights,promoting equal exchanges of factors of production and balanced allocation of public resources between urban and rural areas,and improving the institutions and mechanisms for promoting the sound development of urbanization. However,as new agricultural operating entities,family farms have problems of land circulation,lack of scientific and technological talents,and backward infrastructure. In line with these problems,this study put forward recommendations and countermeasures,in the hope of promoting increase in farmers' income,increasing agricultural intensification and large-scale level,and realizing agricultural modernization.

A Trust Assessment-Based Distributed Localization Algorithm for Sensor Networks Under Deception Attacks

Dear Editor,This letter is concerned with the distributed localization issue for wireless sensor networks subject to deception attacks.It is assumed that malicious nodes randomly launch attacks to tamper the ranging information between sensors.In order to accommodate the effects of deception attacks,a trust assessment-based distributed localization algorithm is proposed.Combined with data fusion of barycentric coordinates,our algorithm can achieve accurate localization.Finally,numerical simulations are given to validate the effectiveness of the proposed localization algorithm.

A Radio-Telemetry System for Navigation and Recording Neuronal Activity in Free-Roaming Rats

A radio-telemetry recording system is presented which is applied to stimulate specific brain areas and record neuronal ac- tivity in a free-roaming rat. The system consists of two major parts： stationary section and mobile section. The stationary section contains a laptop, a Micro Control Unit （MCU）, an FM transmitter and a receiver. The mobile section is composed of the headstage and the backpack （which includes the mainboard, FM transmitter, and receiver）, which can generate biphasic mi- crocurrent pulses and simultaneously acquire neuronal activity. Prior to performing experiments, electrodes are implanted in the Ventral Posterolateral （VPL） thalamic nucleus, primary motor area （M1） and Medial Forebrain Bundle （MFB） of the rat. The stationary section modulates commands from the laptop for stimulation and demodulates signals for neuronal activity recording. The backpack is strapped on the back of the rat and executes commands from the stationary section, acquires neuronal activity, and transmits the neuronal activity singles of the waking rat to the stationary section. All components in the proposed system are commercially available and are fabricated from Surface Mount Devices （SMD） in order to reduce the size （25 mm×15 mm ×2 mm） and weight （10 g with battery）. During actual experiments, the backpack, which is powered by a rechargeable Lithium battery （4 g）, can generate biphasic microcurrent pulse stimuli and can also record neuronal activity via the FM link with a maximum transmission rate of 1 kbps for more than one hour within a 200 m range in an open field or in a neighboring chamber. The test results show that the system is able to remotely navigate and control the rat without any prior training, and acquire neuronal activity with desirable features such as small size, low power consumption and high precision when compared with a commercial 4-channel bio-signal acquisition and processing system.

Remaining Useful Life Prediction for a Multi-stack Solid Oxide Fuel Cell System with Degradation Interactions

Due to the constraints of manufacturing and materials,high-power plants cannot rely on only one solid oxide fuel cell stack.A multi-stack system is a solution for a highpower system,which consists of multiple fuel cell stacks.A short lifetime is one of the main challenges for the fuel cell before largescale commercial applications,and prognostic is an important method to improve the reliability of fuel cells.Different from the traditional prognostic approaches applied to single-stack fuel cell systems,the key problem in multi-stack prediction is how to solve the correlation of multi-stack degradation,which can directly affect the accuracy of prediction.In response to this difficulty,a standard Brownian motion is added to the traditional Wiener process to model the degradation of each stack,and then the probability density function of the remaining useful life(RUL)of each stack is calculated.Furthermore,a Copula function is adopted to reflect the dependence between life distributions,so as to obtain the remaining useful life for the whole multi-stack system.1 The simulation results show that compared with the traditional prediction model,the proposed approach has a higher prediction accuracy for multi-stack fuel cell systems.