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Search Results: 1 - 10 of 36741 matches for " Qiao Guo "
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DACH: An Efficient and Reliable Way to Integrate WSN with IPv6
Dequan Yang,Qiao Guo
International Journal of Distributed Sensor Networks , 2012, DOI: 10.1155/2012/714786
Abstract:
DACH: An Efficient and Reliable Way to Integrate WSN with IPv6
Dequan Yang,Qiao Guo
International Journal of Distributed Sensor Networks , 2012, DOI: 10.1155/2012/714786
Abstract: IPv6 has many advantages such as the massive amount of addresses, high security, and high robustness, which are beneficial for wireless sensor networks (WSNs). However, it is almost impossible to use IPv6 directly in WSN due to its huge energy consumption. This paper proposes a double adaptively clustering hierarchy (DACH) algorithm which enables using IPv6 in WSN in an efficient and reliable way. Firstly, we present a clustering method to adaptively divide the whole sensor network into clusters according to its energy consumption in the last round. Then we propose an adaptive cluster head selection algorithm which employs a strategy to choose the most suitable cluster heads; meantime, this selection algorithm is integrated into DACH. Finally, the complete framework is built between headers and their slave nodes based on IEEE 802.15.4, and IPv6 is used to connect the headers and the base stations. Experimental and simulation results demonstrate that the DACH algorithm has lower time and energy consumption. Moreover, it is more reliable and applicable than many other IP-based WSN algorithms. 1. Introduction One of the most important techniques of this decade is wireless sensor networks (WSNs). In the last twenty years, interpersonal communication has become very popular with the booming internet technology. Similarly, with the development of??WSNs [1], the same phenomenon will occur, and people will benefit a lot from this new information exchange technology. When WSN is as widely used as the internet, people can turn on their air conditioners at home when they are still on their way; the information of snow depth of every valley of Alps can be measured and collected by sensors and sent to people for making decisions about holiday skiing; any equipment of a city can send an alarm to the fire station automatically when the temperature is beyond the normal range, and so forth. Without access to the internet, WSN is just a usual local network with its limited power. However, when IPv6 joins, WSN becomes magic and powerful, for IPv6 has a lot of advantages, such as massive addresses, high security, and good QoS service [2]. Since TCP/IP is limited with factors like too much energy cost and low battery frequent data transmission at the sensor nodes, IPv6-based WSN is more favorite for the researchers. However, for WSN, header overhead problem in IPv6 is more serious than that in IPv4. Usually, the monitoring signal, control signal, and measured data of a sensor is no more than 10 bytes [3]. If IPv6 is introduced directly, the header overhead will consume more
Design and Development of Vehicle Reversing Brake Assist System  [PDF]
Wei Guo, Yuheng Qiao
Open Access Library Journal (OALib Journal) , 2017, DOI: 10.4236/oalib.1104178
Abstract:
Through the analysis of the current vehicle reversing braking system, the paper introduces the safety hazard of the vehicle in the reversing state and the factors that affect reversing braking effect and the weakness of control system. Aiming at the existing problems, designing and development of vehicle reverse brake assist system. This method that uses the STC12C5A60S2 single-chip receives GPS vehicle speed signal, and reversing radar distance signal to determine the safety status of the vehicle reversing can realize the accelerator pedal and brake control, and improve the safety of vehicle reversing. To avoid the driver accidentally stamped the accelerator or delayed braking caused vehicle accident is of great significance to the optimization of vehicle braking system.
Quantum Computing in Decoherence-Free Subspace Constructed by Triangulation
Qiao Bi,Liu Guo,H. E. Ruda
Advances in Mathematical Physics , 2010, DOI: 10.1155/2010/365653
Abstract: A formalism for quantum computing in decoherence-free subspaces is presented. The constructed subspaces are partial triangulated to an index related to environment. The quantum states in the subspaces are just projected states which are ruled by a subdynamic kinetic equation. These projected states can be used to perform ideal quantum logical operations without decoherence.
Exploration on the Application-oriented Talent Training Mode of Biological Engineering  [PDF]
Yan Guo, Changsheng Qiao, Dongguang Xiao, Min Wang, Shiru Jia, Ning Chen, Zhilei Tan
Creative Education (CE) , 2012, DOI: 10.4236/ce.2012.37B038
Abstract: Aiming at the existing problems on professional talent training mode of bio-engineering in China ,with the guidance of scientific concept of development ,combining with the development status and trends, talent training objectives and mode of bio-engineering industry in China, basing upon the district of Binhai new area, This paper introduces the useful explorations on professional bio-engineering talent training mode of College of Biotechnology in Tianjin University of Science & Technology.
A Parallel-Layered Belief-Propagation Decoder for Non-layered LDPC Codes
Kun Guo,Yong Hei,Shushan Qiao
Journal of Communications , 2010, DOI: 10.4304/jcm.5.5.400-408
Abstract: In this paper, we proposed a Parallel-Layered Belief-Propagation (PLBP) algorithm first, which makes a breakthrough in utilizing the layered decoding algorithm on the “non-layered” quasi-cyclic (QC) LDPC codes, whose column weights are higher than one within layers. Our proposed PLBP algorithm not only achieves a better error performance, but also requires almost 50% less iterations than the flooding algorithm. Then we propose a low-power partial parallel decoder architecture based on the PLBP algorithm. Our PLBP decoder architecture requires less area and energy efficiency than other existing decoders. As a case study, a multi-rate 9216-bit LDPC decoder is implemented in SMIC 0.13μm 1P6M CMOS technology. The decoder dissipates an average power of 87mW with 10 iterations at a clock frequency of 83.3 MHz. The chip core size is 7.59 mm2, and the die area occupies 10.82 mm2.
A Strange Star Model for Pulsars
Ren Xin Xu,Guo Jun Qiao
Physics , 1998,
Abstract: It is suggested in this paper that the `bare' strange star might be not bare, and there could be a magnetosphere around it. As a strange star might be an intensely magnetized rotator, the induced unipolar electric field would be large enough to construct a magnetosphere around the strange matter core. This kind of magnetosphere is very similar to that of the rotating magnetized neutron stars discussed by many authors. A magnetosphere will be established very soon through pair production by gamma-B or two photon processes after a strange star was born in a supernova explosion. It is emphasized that the fact that the strange star surface can not supply charged particles does not stop the formation of a space charge separated magnetosphere around the bare strange star. An accretion crust is quite difficult to come into being around an isolated strange star. Therefore the observed radio signals of an rotation-powered pulsar may come from a bare strange stars rather than a neutron stars or a strange star with an accretion crust. The idea, that the radio pulsars are the strange stars without crusts, is supported by some observations. The fact, that the iron emission lines have been observed in many X-ray pulsars but never been reported in X-ray emission of radio pulsars, is difficult to be understood if the radio pulsars are the neutron stars or strange star with crust where the surface binding energy of iron ions is too low to avoid a ion free-flow from the surface.
Local Color Contrastive Descriptor for Image Classification
Sheng Guo,Weilin Huang,Yu Qiao
Computer Science , 2015,
Abstract: Image representation and classification are two fundamental tasks towards multimedia content retrieval and understanding. The idea that shape and texture information (e.g. edge or orientation) are the key features for visual representation is ingrained and dominated in current multimedia and computer vision communities. A number of low-level features have been proposed by computing local gradients (e.g. SIFT, LBP and HOG), and have achieved great successes on numerous multimedia applications. In this paper, we present a simple yet efficient local descriptor for image classification, referred as Local Color Contrastive Descriptor (LCCD), by leveraging the neural mechanisms of color contrast. The idea originates from the observation in neural science that color and shape information are linked inextricably in visual cortical processing. The color contrast yields key information for visual color perception and provides strong linkage between color and shape. We propose a novel contrastive mechanism to compute the color contrast in both spatial location and multiple channels. The color contrast is computed by measuring \emph{f}-divergence between the color distributions of two regions. Our descriptor enriches local image representation with both color and contrast information. We verified experimentally that it can compensate strongly for the shape based descriptor (e.g. SIFT), while keeping computationally simple. Extensive experimental results on image classification show that our descriptor improves the performance of SIFT substantially by combinations, and achieves the state-of-the-art performance on three challenging benchmark datasets. It improves recent Deep Learning model (DeCAF) [1] largely from the accuracy of 40.94% to 49.68% in the large scale SUN397 database. Codes for the LCCD will be available.
Investigation on the Association of Soil Microbial Populations with Ecological and Environmental Factors in the Pearl River Estuary  [PDF]
Yanchun Qiao, Donglin Xu, Hongjuan Yuan, Bei Wu, Bishao Chen, Yaowen Tan, Jianrong Lin, Dongliang Guo
Journal of Geoscience and Environment Protection (GEP) , 2018, DOI: 10.4236/gep.2018.63002
Abstract:
An investigation on the soil microbe populations from an agricultural inning area at the Pearl River estuary in Guangdong province, China was conducted via high through-put sequencing. The results revealed abundant diversity in the soil bacterial and fungal populations. In total, 197103 sequence tags were obtained from soil samples, most of which represented bacterial genera Actinomycetes, Bacillus and Marinobacter, while a majority of 118378 tags obtained were derived from fungal genera Clostridium, Devosia, Bradyrhizobium, Bdellovibrio, Phenylobacterium, Penicillium, and Emericella. Furthermore, nine physiological indexes (pH, available phosphorous, basic-group nitrogen, available potassium, catalase, sucrose, urease, phosphatase, and organic matters) were measured in three soil samples, and the association between these physiological indexes and microbe population composition was examined. The results revealed obvious inter-sample differences associated with ten dominating microbial groups: genera Clostridium, Devosia, Bradyrhizobium, Bdellovibrio, Phenylobacterium, and Penicillium were mainly impacted by pH (with a positive correlation), genera Sphingomonas and Acinetobacter mainly by available phosphorous (positive correlation), and genera Gemmatimonas and Pseudomonas by both pH and available phosphorous (negative correlation). Our study suggested that regulation of microbial species/populations might help improve soil environment to facilitate the growth of crops’ above-ground parts, and this provides practical information for inning agriculture.
Response of Subcutaneous Xenografts of Endometrial Cancer in Nude Mice to Inhibitors of Phosphatidylinositol 3-Kinase/Akt and Mitogen-Activated Protein Kinase (MAPK) Pathways: An Effective Therapeutic Strategy for Endometrial Cancer  [PDF]
Ruixia Guo, Xinyan Wang, Ruifang Zhang, Huirong Shi, Yuhuan Qiao, Wenjing Yun, Xin Ge, Yan Lin, Jia Lei
Journal of Cancer Therapy (JCT) , 2015, DOI: 10.4236/jct.2015.612118
Abstract: Objective: This study was designed to explore whether inhibition of the extracellular-regulated kinase (ERK) and phosphatidylinositol-3-kinase (PI3K) signaling pathways can inhibit the growth of xenografts of endometrial cancer cell lines with different estrogen receptors (ER) profiles in vivo and to provide preliminary laboratory basis for the probability of endometrial adenocarcinoma treatment with blockage of the two pathways, especially to endometrial cancer with low ER status. Methods: Human endometrial cancer Ishikawa bearing ER and HEC-1Awith low ER status cells were subcutaneously injected into BALB/c nude mice to establish endometrial cancer xenograft tumor models. The effects of PI3K/Akt inhibitor LY294002, MAPK/ERK1/2 inhibitor PD-98059 and their combinations on the growth of the xenograft tumors and apoptotic state of Ishikawa and HEC-1Acells were tested in vivo using the inhibitory rate, the terminal deoxynucleotidyl transferase-mediated nick-end labeling assay, H/E-stain. Western blot analysis was used to detect the alterations of activated ERK (P-ERK) and AKT (P-AKT) during this process. Results: LY294002, a PI3K/Akt pathway inhibitor, induced significant suppression in the growth of both Ishikawa and HEC-1Acell xenograft tumors, concomitant with increased apoptosis in xenografts as evidenced by TUNEL. A similar effect was also observed when the MAPK/ERK1/2 signaling pathway was inhibited by PD98059. Concurrent inhibition of the PI3K/Akt and MAPK/ERK1/2 pathways showed enhanced anti-tumor effects in vivo as indicated by increased apoptosis. At the same time, the levels of P-ERK and P-AKT in both xenograft tumors decreased, and their levels in combination group was the lowest. Conclusions: PD98059, LY294002 and their combinations showed remarkable inhibitory effects on xenograft tumors of endometrial carcinoma cell lines with different expression status of ER in vivo through blockage of PI3K/Akt and MAPK/ERK1/2 signaling pathways. This suggests that targeting these pathways may be an effective therapeutic strategy against endometrial carcinomas, especially for ER-negative cancers which show poor response to endocrinal therapy.
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