Abstract:The technology of the robot represents a national high-tech level and the degree of automation. It is helpful to develop the industry of service robots in China if we know the current situation and development trend of service robots research clearly. Recently, robotic cleaners and educational robots have been in great demand. Entertainment robots and surveillance robots are developed rapidly and the market expands quickly. Medical robots begin to enter the modern life and have played an important role in the modern surgery. To satisfy the great market and shorten the distance between China and developed countries, it is necessary to capture the development trend of the technology of service robots. R&D on service robots should focus on the integrated technologies on intelligence, modularization and network.

Abstract:Human action recognition acts as an important role in human machine interaction. This paper proposes a human body recognition method from depth image based on part size and position features. Random forest classifiers are trained with different parameters. Experimental results demonstrate the feasibility of proposed approach. Recognition accuracy is about 91% and the computation time is about 0.96 us per pixel.

Abstract:A compact CMUT structure with movable floating gate and low noise broad bandwidth circuit is presented in this paper. The new active CMUT structure comprises two traditional CMUT electrodes and MOS transistor beneath it. Its spice model on DC analysis and transient analysis with time-varying capacitor is investigated. It exhibits low overall parasitic capacitance and low output impedance compared with traditional one. According to Cadence simulation results under 1.5Pa ultrasound pressure, the output signal amplitude is 40.1 mV, while the noise floor is 16.59 nV/Hz1/2 at 1MHz operation frequency of CMUT receiver, unit gain frequency is 488 MHz and DC gain is 74.73 dB. These results show that the proposed CMUT structure is superior to existing one and has advantages to make an interesting potential application on CMUT array imaging.

Abstract:Gene is the genetic material basis. All life phenomena, like disease and death, are related to Gene. Gene sequencing is a way to read life. With the development of new generation high-throughput sequencing technology, TB or more sequence data will be generated daily. It’s more difficult to interpret these big and complex data than to acquire them. Sequence data interpretation is a critical step in current biological research and has great practical significance. It’s a great challenge for current computer systems and computing models to store, process and analysis massive high throughput sequence data. With survey, especially from BGI (Beijing Genome Institute), the current status, problems and measures taken to process high throughput sequence data will be discussed. However, the challenge is too big to be solved unless more people in different fields work together in depth for a long term.

Abstract:The continuing improvements to high-throughput sequencing have begun to unfold a lots of new applications. DNA sequencing technology has played important roles in biological research. Correct structure error of genome sequencing remains an important problem. We develop the method to detect and correct structure error use of insert size information of mate-pair.

Abstract:Defibrotide is a polydisperse oligonucleotide with multiple effects on endothelial cells, which has been developed for the treatment of different vascular disorders. Defibrotide has been used effectively in the treatment and prophylaxis of hepatic veno-occlusive disease. Recent animal models have clearly suggested an antiangiogenic effect and an anticancer activity. Further in vitro and in vivo investigations are needed.

Abstract:Nanomaterials and nanotechnology play more and more important role in the field of new generation electronics packaging. The unique electrical, magnetic and optical properties of the nanomaterials along with their composites can enhance and improve the physical and mechanical properties of the components. Current issues of electronic packaging, especially those related to materials, are introduced and evaluated in this review. The nanomaterials, nanocomposites and nanotechnology have advantages in solving these issues and their future development direction. This review also focuses on the application of new materials such as, conductive metal particles, silica, carbon nanotubes, graphene, etc. in the high density system level packages.

Abstract:This paper presents a new method of dieless sheet metal forming, water jet incremental sheet metal forming (WJISMF). A five-axis WJISMF machine was designed based on this technology. The machine has five degrees of freedom (DOF) including two rotational DOF of the nozzle and three translational DOF of the workbench. It has good flexibility and can be used for low cost production of prototype. The paper introduces the subsystems of WJISMF system. In addition, a new simulation method for the forming process is given, in which the complex simulation about fluid-structure interaction is simplified by loading equivalent pressure. The effect of water jet pressure and sheet thickness on the metal forming accuracy is evaluated by simulation analysis respectively.

Abstract:With the rapid increase in numbers and scales of deep web sites on the Internet, search for data or information from deep web sites by submiting queries to and obtaining results from the backend databases has become a major means in information retrieval from the Web. This area has attracted many researchers to devote their efforts on development of technologies to make better use of information in th deep web. One challenge is searching for and integration of data from various databases in deep web. Since deep web is dominated by text data, research and development of technologies for text information retrieval from deep web have a broad application potential. In this paper, we review the state-of-the-art of deep web research in details and propose some future research directions.

Abstract:With the development of wireless communication technology, the next generation mobile network presents heterogeneous and complex characteristics. Meanwhile, the popularity of intelligent mobile endpoint has made user applications transferred from table fixed to mobile online. These wireless and ubiquitous applications bring the need of transformation of massive burst data. The traditional network transformation control can't meet the seamless transformation requirement of the massive burst data brought by the development of mobile applications. Therefore, it is necessary to investigate intelligent network transformation control methodology for the next generation wireless network. On base of the survey of previous related research work, this article introduces the three research topics of network behavior model and architecture, multi-dimension perceive technology and network resource cooperative adaptation based on perceived information.

Abstract:Land cover/use information is a key parameter for estimating biophysical process and energy exchange between land and atmosphere, and meanwhile it is also an important parameter for regional and global climate models and ecosystem process models. Remote Sensing is an important and effective tool for mapping land cover /use on a large scale. But the quality of remote sensing data and weather condition have great impacts on the accuracy of land cover / use information from remote sensing data. This research proposes a new methodology for mapping land cover /use of Guang Dong province using object-oriented classification with remote sensing data and field survey information as inputs.Object-oriented classification has been increasingly employed for mapping land cover/use because of its advantages of using multi information of remote sensed objects such as spatial distribution, shape, size, spectral and texture over some traditional classification methods which often only use spectral information of objects. The remote sensing data used in this research include multitemporal and multi spectral China HJ-1A/B and TM data. Firstly multi temporal remote sensing data were processed and geo-rectified. The classification rules were then established using object-oriented classification method with processed remote sensing data, DEM, history land cover/use data and field observation data as inputs. Finally a new classification method is developed by integrating multi information from remote sensing data and field observations into classification rules. In situ observation data is used to validate classification result. The result shows that the average accuracy of mapping land cover /use of Guangdong province is 85%, much higher than that of traditional classification method. The accuracy can be further improved by using more effective classification rules and more field survey in future.

Abstract:Hadoop job schedulers typically use a single resource abstraction and resources are allocated at the level of fixed-size partition of the nodes, called slots. These job schedulers ignore the different demands of jobs and fair allocation of multiple types of resources, leading to poor performance in throughput and average job completion time. This paper studies and implements a Muti-resource Fair Scheduler (MFS) in Hadoop. MFS adopts the idea of Dominant Resource Fairness (DRF). It uses a demand vector to describe demands for resources of a job and allocates resources to the job according to the demand vector. MFS uses resources more efficiently and satisfies multiple jobs with heterogeneous demands for resources. Experiment results show that MFS has higher throughput and shorter average job completion time compared to Hadoop slot-based Fair Scheduler and Capacity Scheduler.