Configuration information acquisition and matching in self-reconfiguring process of modular self-reconfigurable robots

Configuration information acquisition and matching are two important steps in the self-reconfiguring process of self-reconfigurable robots. The process of configuration information acquisition was introduced, and a self-reconfiguring configuration matching strategy based on graded optimization mechanism was proposed. The first-grade optimization was to search common connection between matching scheme and goal configuration. The second-grade optimization, whose object function was constructed in terms of configuration connectivity, was to search connnon topology according to the results of the first-grade optimization. The entire process of configuration information acquisition and matching was verified by an experiment and genetic algorithm （GA）. The result shows the accuracy of the configuration information acquisition and the effectiveness of the configuration matching method.

Study of Visual Information Acquisition Technology based on AGV Robot

Visual information acquisition is an important component of the AGV robot. The system adopts STM32F4 embedded application of the ARM Cortex-M4 kernel as the main control module,using shift algorithm to finish on a specific color piece of target tracking. For multi-sensor fusion of three methods,quaternion method is used to correct the attitude,the stability of AGV robot visual information acquisition and image clarity are improved.

Design and implementation of information acquisition system architecture for multi-sensor robots

A multi-layer controller architecture based on digital signal processor （DSP） and on-chip MCU was proposed for multi-sensor information acquisition system; it consisted of a data acquisition unit and a data fusion unit, and used a host controller to connect the two units into an integrated system. Compared with architectures of traditional acquisition system, this architecture had good openness and good adaptability of algorithms in hardware. To validate its feasibility, a small-scale prototype was cleverly designed, which adopted ADμCS12, TMS320F206 and 89C51 as controllers, and had 16-channel ADC and 12- channel DAC with high accuracy of 12-bit. The interfaces between different controllers were introduced in detail. Some basic parameters of the prototype were presented by board-level tests and by comparison with other two systems. The prototype was employed to provide on-line state measurement, parameter estimation and decision-making for trajectory tracking of wheeled mobile robot. Experimental results show that the prototype achieves the goals of data acquisition, fusion and control perfectly.

Information acquisition system of multipoint soil surface height variation for profiling mechanism of seeding unit of precision corn planter

The emergence rate and vitality of maize are directly affected by the sowing depth,and the uniformity of this depth is an important performance indicator of a planter,while the effective soil surface height information acquisition is the prerequisite for ensuring the accuracy of sowing depth control.The soil surface height variation acquisition system of a precision corn planter often produces profiling errors when performing active profiling due to interference from ground debris.In this study,a multipoint soil surface height variation information acquisition system was investigated,which consists of a ranging sensor group and a microcontroller unit(MCU)using a data comparison and screening method.The structure and specifications of the ranging sensors were determined according to the soil surface height variation and debris size,and a nonessential profiling control program was developed.Performed tests on the information acquisition system indicated that the measurement accuracy of the system was 3 mm,and when advancing at a speed of 8 km/h,the accuracy of the profiling decision and the system stability were 97.1%and 94.1%,respectively,indicating that the system was capable of nonessential profile control.The designed ranging system could provide a reference for the design of a ground information acquisition system of precision planters with an active profiling mechanism.

Natural interface-mediated self-assembly of graphene-isolatednanocrystals for plasmonic arrays construction and personalized information acquisition

As Interface mediated self-assembly of nanocrystals provide excellent strategy for sensing,catalysis or photonics,the construction of innovative interfaces and development of versatile strategies for nanocrystal synthesis are urgently needed.Herein,latent fingerprints(LFPs),the most common markers for human identity,are used as naturally accessible interface for organization of graphene isolated nanocrystals(GINs).Excitingly,the selective adsorption of GINs on lipidic ridge provides a universal approach for the in-situ construction of the plasmonic arrays.Such system with intrinsic chrominance and Raman signal enables the high resolution colorimetric and surfaced-enhanced Raman spectroscopy(SERS)dual-mode imaging,which can detail the structures of the LFPs from 1st to 3rd level even the LFPs are shielded.Furthermore,the interface can be constructed on diverse materials by a simple finger-pressing process and the densely packed arrays can serve as superior SERS substrate for label-free,non-invasive acquisition of molecule information especially residues in LFPs.The combination of chemical composition with detailed structures efficiently recognizes the human identity and could help link it to a crime scene.Overall,the LFPs can act as natural platform for interface mediated localized assembly and personalized information acquisition for forensic science or precise medicine.

Information Acquisition: Fundamental and Non-Fundamental

We present a parsimonious information acquisition model in which two types of traders can produce either fundamental or non-fundamental information.Fundamental information is related to asset liquidation value,whereas non-fundamental information is related to the noise caused by traders'sentiment.Opening access to non-fundamental information increases the coordination possibilities among sentiment-informed traders and can yield two equilibrium-displaying properties:substitutability and complementarity.We find that the dominated mass of one type of informed trader can attenuate their information advantage,resulting in low ex ante expected utility associated with such traders.We further find that there is a crowding-out effect in information acquisition between the two types of informed traders,which offers some significant insights in explaining why bubbles burst when market sentiment is dominant.

Monitoring System for Field Soil Water Content Based on the Wireless Sensor Network

[Objective] To water content monitoring study the application of wireless sensor network in field so and to discuss the methods for solving the problems of low sampling rate, high cost and poor real-time in actual monitoring. [Method] The architecture of wireless sensor network, network nodes, hardware design as well as principle for the program structure of software operating system and corresponding parameters were analyzed to illustrate the characteristics of monitoring system for field soil water content based on wireless sensor network, and the advantages in application of this system. [Result] Sensor nodes could correctly collect and transmit soil water content, realize stable data transmission of soil water content, indicating that wireless sensor network is suitable for real-time monitoring of field soil water content. [Conclusion] This study indicates that wireless sensor network possesses a widely application foreground in the development of agriculture.

Fast acquisition of 3D images in a modified optical microscope based on integral imaging

This paper introduces a new technique of fast acquiring 3D information in microscope based on integral imaging. Experimental results prove that the proposed method has advantageous properties including simple configuration, no requirement of coherent light source and real-time 3D imaging information acquisition. This technique has an important prospect on optical microscopy and 3D display.

Factors influencing venture capital perforsmance in emerging technology:The case of China

This study aims to identify the systematic factors influencing venture capital performance in emerging technology.Emerging technologies are the driving force of contemporary economic and social development,but their technologies and markets are subject to great uncertainty.As a high-risk,high-yield investment method,venture capital plays an extremely important role in supporting technological innovation and promoting the upgrading of industrial structures.Following information processing theory,this study applies a quantitative analysis to data from 61 venture capitalists in Beijing,China using structural equation modeling(SEM).The sample firms were established since 2015 and invested mainly in emerging technology startups.The model passed the goodness-of-fit indices test and reveals that information acquisition,venture capital executives,and venture capital strategies have a positive impact on venture capital performance,and venture capital strategies played a partial mediating role.

Brainformatics:Concept,Scope and Challenge

Brain science is a well-recognized frontier science with extensive and profound contents. According to the spatial scales of the contents involved,multiple sub-disciplines have been setup,such as cellular neurobiology,molecular neurobiology,and there are also some sub-disciplines defined according to the main tools adopted,such as computational neuroscience,electroencephalography. This paper points out that the brain research driven by information science is forming a new discipline"brainformatics"a very vigor and vitality one,with"brain information acquisition","brain information decoding"and"brain information applications"as the main contents.This paper explains the concept,scope and challenge of brainformatics with some concrete examples.