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Search Results: 1 - 10 of 41224 matches for " Peng Jiang "
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A Discrete-Time Traffic and Topology Adaptive Routing Algorithm for LEO Satellite Networks  [PDF]
Wenjuan Jiang, Peng Zong
Int'l J. of Communications, Network and System Sciences (IJCNS) , 2011, DOI: 10.4236/ijcns.2011.41005
Abstract: “Minimizing path delay” is one of the challenges in low Earth orbit (LEO) satellite network routing algo-rithms. Many authors focus on propagation delays with the distance vector but ignore the status information and processing delays of inter-satellite links. For this purpose, a new discrete-time traffic and topology adap-tive routing (DT-TTAR) algorithm is proposed in this paper. This routing algorithm incorporates both inher-ent dynamics of network topology and variations of traffic load in inter-satellite links. The next hop decision is made by the adaptive link cost metric, depending on arrival rates, time slots and locations of source-destination pairs. Through comprehensive analysis, we derive computation formulas of the main per-formance indexes. Meanwhile, the performances are evaluated through a set of simulations, and compared with other static and adaptive routing mechanisms as a reference. The results show that the proposed DT-TTAR algorithm has better performance of end-to-end delay than other algorithms, especially in high traffic areas.
Research on the Fault Location Principle for the Earthing Electrode Line of the UHVDC Transmission System  [PDF]
Xu Peng, Yu Jiang
Energy and Power Engineering (EPE) , 2013, DOI: 10.4236/epe.2013.54B227
Abstract: The UHVDC transmission line transports large-capacity power, and its safety operation has very important rule on the safe operation of grid. Currently, in the DC transmission system, the earthing electrode line has the functions of ground potential fixing and bipolar imbalance current circulation during the operation of bipolar balance. Therefore the monitoring to the earthing electrode line operation is very essential. This article firstly introduced the current situation of the research on the earthing electrode line fault location method, then built the relevant PSCAD/EMTDC model for simulation verification of the current using Time Domain Reflectometry for the UHVDC earthing electrode line, and at last analyzed the reasons for the formation of the blind monitoring zones.
Analysis of Prognostic Factors of Children with Intracranial Infection Coma  [PDF]
Yan Peng, Li Jiang
World Journal of Neuroscience (WJNS) , 2015, DOI: 10.4236/wjns.2015.52015
Abstract: Objective: To investigate the prognostic factors of coma due to intracranial infection in children, in order to judge the prognosis of coma earlier and guide appropriate treatment. Methods: 1) Collecting the clinical data of 39 comatose children due to intracranial infection admitted into Department of Neurology in Children’s Hospital of Chongqing Medical University from July to September 2007 and 2009, and analyzing their age and sex distribution, causes of coma, and laboratory examinations retrospectively. 2) Implementing the Glasgow coma score among these children immediately after admission, and collecting the serum and cerebrospinal fluid within 24 - 48 hours, and then measuring the NSE levels. 3) Following up these children 3 months after discharge, and analyzing the relationships among prognosis and age, sex, etiology, protein content in CSF, and NSE levels in Serum and CSF. Results: 1) In the cases studied, the age range was from 9 months to 14 years, the average age was (4.25 ± 2.82) years, and 9 months - 3 years, 3 - 5 years, 5 - 11 years, and ≥11 years were accounted for 33.3%, 30.8%, 30.8%, 5.1% respectively. There were 24 males and 15 females, and the gender ratio (male-to-female) was 1.6:1. 2) The group of 39 patients consists of Japanese encephalitis (23 cases, 59%), Viral encephalitis (5 cases, 12.8%), Tuberculous meningitis (5 cases, 12.8%), Acute disseminated encephalomyelitis (5 cases, 12.8%) and Purulent meningitis (1 cases, 2.6%). 3) CSF examination in 33 cases, protein elevated in 18 cases (54.5%), content between 0.47 and 4.33 g/L. 4) The statistical analysis showed that the causes, CSF protein content, serum and cerebrospinal fluid NSE levels were correlated with the prognosis, and that the age and sex had no correlation with the prognosis. Conclusions: 1) In this group of 39 patients, the incidence of children under 5 years old was the highest, and the incidence of boys was higher than girls. 2) Infectious diseases were the most common cause of coma in children. 3) Cerebrospinal fluid protein content was correlated with the prognosis, and the prognosis was worse as the protein content was higher. 4) NSE was a specific biochemical parameter of pathological damagenerve tissue; serum NSE levels could indirectly reflect the changes in CSF.
A New Method for Node Fault Detection in Wireless Sensor Networks
Peng Jiang
Sensors , 2009, DOI: 10.3390/s90201282
Abstract: Wireless sensor networks (WSNs) are an important tool for monitoring distributed remote environments. As one of the key technologies involved in WSNs, node fault detection is indispensable in most WSN applications. It is well known that the distributed fault detection (DFD) scheme checks out the failed nodes by exchanging data and mutually testing among neighbor nodes in this network., but the fault detection accuracy of a DFD scheme would decrease rapidly when the number of neighbor nodes to be diagnosed is small and the node’s failure ratio is high. In this paper, an improved DFD scheme is proposed by defining new detection criteria. Simulation results demonstrate that the improved DFD scheme performs well in the above situation and can increase the fault detection accuracy greatly.
A Liability Division Method for Harmonic Pollution Based on Line-Transferred Power Components  [PDF]
Jianchun Peng, Jun Zhou, Hui Jiang
Journal of Power and Energy Engineering (JPEE) , 2015, DOI: 10.4236/jpee.2015.34035
Abstract:

The existing liability division methods for harmonic pollution are either inexplicit or incomplete in physical meaning. To compensate these defects, two new methods are proposed based on line-transferred power components in this paper. At first, all harmonic sources are represented by ideal equivalent current source, line current components and bus voltage components of a source are determined by stimulation of this source with all other sources disabled. Then, the line-trans- ferred power component owing to a source under all sources action together is determined by the theory of line-transferred power components, and called source’s line-transferred power component. At last, the liability of a source for line-end harmonic pollution is divided by two methods: the ration of the source’s line-transferred active power component to the total line-transferred power, and the ration of projection of the source’s line-transferred complex power component to absolute value of the total line-transferred complex power. These two methods are taken into account not only harmonic voltage but also harmonic current in the liability division. Simulation results show that the proposed liability division method based on active power component is the most effective and ideal one.

Literature Review of the Study of Carbon Emission Rights  [PDF]
Huan Peng, Rui Jiang, Chaobo Zhou
Low Carbon Economy (LCE) , 2017, DOI: 10.4236/lce.2017.84011
Abstract: The importance of green development, namely environment-friendly development is recognized world wild today. As integral parts of green development, carbon finance and carbon trading are expected to have huge market potential, which justifies the academic significance of a literature study in this area. The study of trading of the carbon emission rights mainly focuses on the following three aspects: the classification of carbon emission rights, the influencing factors of carbon emission rights and the price features of carbon emission rights.
Experimental Studies on the Influence of HCO3- on Absorption and Desorption of CO2 from Ammonia Solution  [PDF]
Shaojian Jiang, Wei Zhong, Rui Peng, Yong Jiang, Jun Zhang
Advances in Materials Physics and Chemistry (AMPC) , 2012, DOI: 10.4236/ampc.2012.24B061
Abstract: With aqueous ammonia in the process of CO2 absorption and desorption to join sodium bicarbonate, the influence of HCO3- on CO2 absorption and desorption from ammonia solution was investigated through the experimental analysis of the desorption quantity of CO2, desorption rate, CO2 loading and the absorption rate. The experimental results showed that, in experimental conditions, The desorption rate decreased gradually with increasing ammonia concentrations. The desorption rate increased 12%, 17%, 19% and 28.8% when 1 mol/L of ammonia solution is added in 0.1 mol/L, 0.3 mol/L, 0.5 mol/L and 1 mol/L of sodium bicarbonate. The higher concentration of ammonium bicarbonate solution which was added sodium bicarbonate,the more observably the effect of CO2 desorption was promoted. The absorption rate had dropped when absorption process added 0.3 mol/L sodium bicarbonate, the CO2 loading was a little change.
A Sensor Network Data Compression Algorithm Based on Suboptimal Clustering and Virtual Landmark Routing Within Clusters
Peng Jiang,Shengqiang Li
Sensors , 2010, DOI: 10.3390/s101009084
Abstract: A kind of data compression algorithm for sensor networks based on suboptimal clustering and virtual landmark routing within clusters is proposed in this paper. Firstly, temporal redundancy existing in data obtained by the same node in sequential instants can be eliminated. Then sensor networks nodes will be clustered. Virtual node landmarks in clusters can be established based on cluster heads. Routing in clusters can be realized by combining a greedy algorithm and a flooding algorithm. Thirdly, a global structure tree based on cluster heads will be established. During the course of data transmissions from nodes to cluster heads and from cluster heads to sink, the spatial redundancy existing in the data will be eliminated. Only part of the raw data needs to be transmitted from nodes to sink, and all raw data can be recovered in the sink based on a compression code and part of the raw data. Consequently, node energy can be saved, largely because transmission of redundant data can be avoided. As a result the overall performance of the sensor network can obviously be improved.
Leverage Financial News to Predict Stock Price Movements Using Word Embeddings and Deep Neural Networks
Yangtuo Peng,Hui Jiang
Computer Science , 2015,
Abstract: Financial news contains useful information on public companies and the market. In this paper we apply the popular word embedding methods and deep neural networks to leverage financial news to predict stock price movements in the market. Experimental results have shown that our proposed methods are simple but very effective, which can significantly improve the stock prediction accuracy on a standard financial database over the baseline system using only the historical price information.
Unsupervised Multi-Level Non-Negative Matrix Factorization Model: Binary Data Case  [PDF]
Qingquan Sun, Peng Wu, Yeqing Wu, Mengcheng Guo, Jiang Lu
Journal of Information Security (JIS) , 2012, DOI: 10.4236/jis.2012.34031
Abstract: Rank determination issue is one of the most significant issues in non-negative matrix factorization (NMF) research. However, rank determination problem has not received so much emphasis as sparseness regularization problem. Usually, the rank of base matrix needs to be assumed. In this paper, we propose an unsupervised multi-level non-negative matrix factorization model to extract the hidden data structure and seek the rank of base matrix. From machine learning point of view, the learning result depends on its prior knowledge. In our unsupervised multi-level model, we construct a three-level data structure for non-negative matrix factorization algorithm. Such a construction could apply more prior knowledge to the algorithm and obtain a better approximation of real data structure. The final bases selection is achieved through L2-norm optimization. We implement our experiment via binary datasets. The results demonstrate that our approach is able to retrieve the hidden structure of data, thus determine the correct rank of base matrix.
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