An Efficient Multi-Path Self-Organizing Strategy in Internet of Things

In order to improve the organizing performance and fault tolerance of the wireless network protocol GEAR based on the geographical location information in the Internet of things and achieve better energy distribution and conservation effects. This paper proposes a new multipath routing organizing protocol (SMG, Self-organized Multipath GEAR) based on the basic geographic routing protocol GEAR. By two-step organizing, communication empty nodes and communication hole can join the network respectively and energy spreading out and mechanism of dormancy of the multi-path are utilized to spread out and save energy. Meanwhile, this paper presents an approximate estimation algorithm to estimate the number of the nodes in the monitoring region with a certain size and regular shape. The critical path node goes to failure in different times while received packet rate is monitored using the experiment of NS2 simulation and actual hardware. The experiment results show that the improved protocol increases the fault tolerance of the network, reduces the paralysis rate of the network and achieves the effect of energy spreading out and saving, increases the lifetime of the network through a multi-path strategy.     

S-parameter based technique for simultaneous switching noiseanalysis in electronic packages

A method based on S-parameters is developed for the analysis of simultaneous switching noise (SSN) in electronic packages. A two-port Z matrix of the package pin/trace, and the coupling between the pins/traces are modeled by analytical equations. SSN is analyzed as a function of the number of switching drivers and switching time. Frequency domain measurements are performed to demonstrate the accuracy of the model. The modeling methodology is applied to both leaded and area array packages     

Design of Readout Circuit Based on Probe Neural Biosensor

According to the characteristics of neural signal,a low-voltage and high-speed operational transconductance amplifier has been realized as a direct readout circuit. To reduce the size and cost of this chip, the amplifier uses feedforward compensation technique without Miller capacitor. Using capacitors as a closed-loop feedback not only amplifies the neural signal, but also reduces chip power consumption by replacing the feedback resistor. Simulations were carried out with 0.18m CMOS technology, and the simulation results satisfied the requirements of neural signal.     

Performance Analysis of MIMO Based CDMA Code Acquisition Over Rayleigh Fading Channels

This paper proposes a new MIMO based CDMA code acquisition scheme. The pilot codes consist of a number of short Gold code sequences which are transmitted in parallel using a group of transmit antennas. Reception diversity is performed by multiple receive antennas at the receiver. Three different acquisition detection techniques are proposed and compared. Corresponding threshold optimizations are investigated as well. Detection and false alarm probabilities are derived in closed form based on the outputs of non-coherent matched filters. The acquisition performance is evaluated in terms of mean acquisition time (MAT) in Rayleigh fading environment. It is shown that the proposed MIMO acquisition scheme exhibits a much better MAT performance than the conventional single-antenna acquisition scheme. The results reveal that multiple receive antennas can be utilized to significantly reduce the MAT at the expense of receiver complexity increase. On the other hand, increasing the number of transmit antennas makes the MAT performance more robust in the presence of strong interference.     

A parametric intensity-based 3D image registration method for magnetic resonance imaging

Image registration (IR) aims to map one image to another of a same scene. With rapid progress in image acquisition technologies, 3D IR becomes an important problem in magnetic resonance imaging (MRI) and other applications. In the literature, however, most IR methods are for 2D images and there are only a limited number of 3D methods available. Because 3D images have much complicated structure than their 2D counterparts, 3D IR is not just a simple generalization of the 2D IR problem. In this paper, we develop a 3D IR method that can handle cases with affine geometric transformations well. By its definition, an affine transformation maps a line to a line, and it includes rotation, translation, and scaling as special cases. In practice, most geometric transformations involved in IR problems are affine transformations. Therefore, our proposed method can find many IR applications. It is shown that this method works well in various cases, including cases when the data size of a 3D image is reduced for different reasons. This latter property makes it attractive for many 3D IR applications, since 3D images are often big in data size and it is natural to reduce their size for fast computation.     

Diffeomorphic metric mapping of high angular resolution diffusion imaging based on Riemannian structure of orientation distribution functions

In this paper, we propose a novel large deformation diffeomorphic registration algorithm to align high angular resolution diffusion images (HARDI) characterized by orientation distribution functions (ODFs). Our proposed algorithm seeks an optimal diffeomorphism of large deformation between two ODF fields in a spatial volume domain and at the same time, locally reorients an ODF in a manner such that it remains consistent with the surrounding anatomical structure. To this end, we first review the Riemannian manifold of ODFs. We then define the reorientation of an ODF when an affine transformation is applied and subsequently, define the diffeomorphic group action to be applied on the ODF based on this reorientation. We incorporate the Riemannian metric of ODFs for quantifying the similarity of two HARDI images into a variational problem defined under the large deformation diffeomorphic metric mapping framework. We finally derive the gradient of the cost function in both Riemannian spaces of diffeomorphisms and the ODFs, and present its numerical implementation. Both synthetic and real brain HARDI data are used to illustrate the performance of our registration algorithm.     

基于单片机控制的自助实验室教学系统设计

文章介绍了利用单片机控制RA8806为控制器的LCD模块和利用单片机控制AU6850B为核心的MP3模块的自助实验室教学系统设计.本系统安装在每个实验台上,学生通过本系统触摸屏上触摸按钮,找出与之对应的实验仪器语音和文字教学文件,一对一为学生教学,提高课堂效率,节约教学成本.     

Development of Thermoelectric Self-Powered Heating Equipment

In this work, a self-powered residential heating system was developed using thermoelectric generation technology. A full-size prototype was designed, constructed, and tested, in which Bi₂Te₃-based thermoelectric modules were incorporated into a gas-fired heating boiler. Up to 161 W of electricity is generated by the thermoelectric modules. This is sufficient to power all the electrical components of the residential heating equipment including pump, fan, blower, valves, and control panel. In this way, the heating system can operate entirely on fuel combustion and does not need externally generated electricity. The performance of the thermoelectric devices has been investigated in the integrated heating system under various operating conditions. The energy system’s advantages include simplicity, low noise, clean operation, and low maintenance. The thermoelectric self-powered heating system could provide the consumer with heating system reliability and a reduction in electric power consumption.     

组织光透明技术在骨透明化中的生物医学成像应用与展望

近年来组织光透明技术的飞速发展,为现代骨科临床基础研究带来了新的契机.组织光透明技术主要通过多种物理、化学手段,降低组织的光散射和光吸收,使光能在组织中更好地传播,从而增加光学成像的深度和对比度.结合多种荧光标记策略,实现更深层、更高分辨的骨组织及三维空间微结构信息,为突破骨这种高散射组织及骨疾病的分子影像学研究带来新...