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Search Results: 1 - 10 of 104444 matches for " Shanshan Zhang "
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A Novel Attack Graph Posterior Inference Model Based on Bayesian Network  [PDF]
Shaojun Zhang, Shanshan Song
Journal of Information Security (JIS) , 2011, DOI: 10.4236/jis.2011.21002
Abstract: Network attack graphs are originally used to evaluate what the worst security state is when a concerned net-work is under attack. Combined with intrusion evidence such like IDS alerts, attack graphs can be further used to perform security state posterior inference (i.e. inference based on observation experience). In this area, Bayesian network is an ideal mathematic tool, however it can not be directly applied for the following three reasons: 1) in a network attack graph, there may exist directed cycles which are never permitted in a Bayesian network, 2) there may exist temporal partial ordering relations among intrusion evidence that can-not be easily modeled in a Bayesian network, and 3) just one Bayesian network cannot be used to infer both the current and the future security state of a network. In this work, we improve an approximate Bayesian posterior inference algorithm–the likelihood-weighting algorithm to resolve the above obstacles. We give out all the pseudocodes of the algorithm and use several examples to demonstrate its benefit. Based on this, we further propose a network security assessment and enhancement method along with a small network scenario to exemplify its usage.
Study on Multi-Exponential Inversion Method for NMR Relaxation Signals with Tikhonov Segularization  [PDF]
Shanshan Chen, Hongzhi Wang, Xuelong Zhang
Engineering (ENG) , 2013, DOI: 10.4236/eng.2013.510B007
Abstract:

The analysis of NMR data in terms of inversion of relaxation distribution is hampered by the ill-posed nature of the required solution about the Fredholm integral equation. Naive approaches such as multi-exponential fitting or standard least-squares algorithms are numerically unstable and often failed. This paper updates the application of Tikhonov regularization to stabilize this numerical inversion problem and demonstrates the method for automatically choosing the optimal value of the regularization parameter. The approach is computationally efficient and easy to implement using standard matrix algebra techniques, which is based on mathematical ware MATLAB. Example analyses arepresented using both synthetic data and experimental results of NMR studies on the liquid samples like as oils and yoghurt.

Recentprogressonphotocatalystswithwidevisiblelightrangeabsorptionforheterogeneouswatersplitting
Shanshan Chen,Fuxiang Zhang
催化学报 , 2014, DOI: 10.1016/S1872-2067(14)60183-2
Abstract:
Exploration on the Social Need Oriented Integrated Teaching Model of Human Resource Management Professional Courses  [PDF]
Shanshan Zhang, Jiemei Yang, Jing Xi, Yingying He
Creative Education (CE) , 2014, DOI: 10.4236/ce.2014.513133
Abstract:

In this paper, based on the survey data of typical enterprises and a key university of Guangdong province, we constructed human resource management professional’s competency features based on social needs. According to the intrinsic characteristics of the human resource management theory, we put forward an “integrated teaching model”, namely the integration of human resources management module of the course content as well as the integration of theoretical teaching and comprehensive quality training, so as to achieve the goal of improving teaching effects and meeting the demand of society.

Analysis on the Potential of Greenhouse Gas Emission Reduction in Henan’s Electricity Sector
Zhang Shaohui,Wang Shanshan,Zhang Ruiqin
Energy and Environment Research , 2012, DOI: 10.5539/eer.v2n1p195
Abstract: Henan Province, located in the middle of China, is the typical case for a power system predominantly on fossil fuel and electricity sector, which is also the main emission source in Henan Province. In order to evaluate the potential for greenhouse gas (GHG) emission reduction of the electricity sector in Henan Province , this article analyses different development scenarios based on the “Long-range Energy Alternative Planning System” (LEAP) model to simulate diversification development patterns. Results showed that there is a potential reduction in GHG emission in the Henan’s electricity sector. The government should design and implement different emphasis in different terms. For instance, we founded that the greenhouse gas emission are decreased considerably in technology priority scenario (8.7 MtCO2) and energy structure optimization scenario (30.30 MtCO2)compared with baseline scenario before 2020, in terms of emission intensity per power unit, during 2005-2020, technology priority scenario, energy structure optimization scenario, and baseline scenario descend by 16.1%, 19.1%, 14.2%, respectively. Ultimately, it gives some policy advice to the power industry in Henan province, the advanced generated technologies will be employed to reduce the greenhouse gas emissions greatly before 2015; however, renewable energy and energy structure adjustment will play the dominant role in reducing the greenhouse gas emissions in the long term. It is also suggested to develop carbon tax and “Clean Development Mechanism” (CDM) projects in Henan Province, such as renewable CDM projects, Methane recovery CDM projects, waste heat/gas/pressure recovery CDM projects, to contribute to the reduction of greenhouse gas emission in Henan’s electricity sector.
The Economic Analysis of Crime Behavior—Deduction of the Game Model between the Law-Man and the Offender  [PDF]
Shanshan Pan
American Journal of Industrial and Business Management (AJIBM) , 2016, DOI: 10.4236/ajibm.2016.67076
Abstract: George Tsebelis (1989) first uses the game model to analyze the behavior of police and public, but he has been questioned by many scholars in the related research. George’ conclusion and the scholars’ opinions are based on the premise that no pure strategy Nash equilibrium exists in the game. In fact, pure strategy Nash equilibrium exists in certain conditions, and it is necessary to study it because of the stabilization. In this paper, we research on the interaction of the law-man and the offender, and study how the law-man type and the conviction rate influence the behavior of the game participants. This paper also tests the conclusion of George, in the 1V1 game with the 100% conviction rate, the conclusion is correct that the increase of punishment can’t reduce the crime. This paper further discusses the law enforcement range that the law-man can be competent, and how the law-man type, law enforcement costs and the number of law-men impact the law enforcement range.
Correlation of icing events with meteorological variables, and two statistical models to discriminate freezing days

ZunYa Wang,ShanShan Zhao,Qiang Zhang,

寒旱区科学 , 2012,
Abstract: In this paper, the characteristics of meteorological variables are statistically correlated with icing events (i.e., glaze and rime) in China, using daily observations of air temperature, relative humidity, wind speed, and weather phenomena from 700 stations in China from 1954 to 2008. The weather conditions most favorable for icing events are investigated and two statistical models are developed to discriminate potential freezing days. Low air temperature, high relative humidity, and low wind speed are shown to be important conditions for occurrence of icing events; also, the favorable daily mean air temperature is shown to have a decreasing trend from north to south in China, while the favorable relative humidity and wind speed varies little across the country. The statistical model developed with the daily mean temperature combined with precipitation, fog, and mist weather phenomena proved to be well able to determine the possible occurrence of freezing days. The accuracy of model outputs is well above 60% for northwestern Yunnan, Guizhou, northern Guangxi, southern Hunan, and southern Jiangxi, among other regions where icing events are more frequent, and the average false alarms are few. Using observations or forecast products of conventional meteorological variables, this model has high performance and is practical and applicable for early warning and monitoring of icing events.
One Stage Reconstruction of Esophageal Atresia and Distal Tracheoesophageal Fistula in a 3250-gm Neonate: A Case Report  [PDF]
Bijay Upadhyay, Xuedong Wu, Jun Li, Ning Wang, Shanshan Zhang, Na Li
Open Journal of Pediatrics (OJPed) , 2015, DOI: 10.4236/ojped.2015.52022
Abstract: Esophageal atresia (EA) occurs when the upper part of the esophagus does not connect with the lower part of esophagus and stomach. Tracheoesophageal fistula (TEF) is an abnormal connection between the upper part of the esophagus and the trachea. Treatment for esophageal atresia has advanced over several decades due to improvements in surgical techniques and neonatal intensive care. The aim is to share our experience regarding the treatment of esophageal atresia with tracheoesophageal fistula. A 4-day-old neonate suffering from esophageal atresia with type IIIB tracheoesophageal fistula underwent one stage esophageal reconstruction and obtained good outcome without any complications. In this paper, a simple intra-operative technique for tracheal fistula repair and end to end esophageal anastomosis is discussed. We used a simple technique that we have found useful for ligation of tracheal fistula. Anastomosis of lower and upper esophagus without any complication like anastomotic leakage or stricture/stenosis of the neonate with EA/TEF (type IIIB), was proved to be safe and effective.
Exploiting Channel Correlation and PU Traffic Memory for Opportunistic Spectrum Scheduling
Shanshan Wang,Sugumar Murugesan,Junshan Zhang
Mathematics , 2012,
Abstract: We consider a cognitive radio network with multiple primary users (PUs) and one secondary user (SU), where a spectrum server is utilized for spectrum sensing and scheduling the SU to transmit over one of the PU channels opportunistically. One practical yet challenging scenario is when \textit{both} the PU occupancy and the channel fading vary over time and exhibit temporal correlations. Little work has been done for exploiting such temporal memory in the channel fading and the PU occupancy simultaneously for opportunistic spectrum scheduling. A main goal of this work is to understand the intricate tradeoffs resulting from the interactions of the two sets of system states - the channel fading and the PU occupancy, by casting the problem as a partially observable Markov decision process. We first show that a simple greedy policy is optimal in some special cases. To build a clear understanding of the tradeoffs, we then introduce a full-observation genie-aided system, where the spectrum server collects channel fading states from all PU channels. The genie-aided system is used to decompose the tradeoffs in the original system into multiple tiers, which are examined progressively. Numerical examples indicate that the optimal scheduler in the original system, with observation on the scheduled channel only, achieves a performance very close to the genie-aided system. Further, as expected, the optimal policy in the original system significantly outperforms randomized scheduling, pointing to the merit of exploiting the temporal correlation structure in both channel fading and PU occupancy.
Filtered Channel Features for Pedestrian Detection
Shanshan Zhang,Rodrigo Benenson,Bernt Schiele
Computer Science , 2015,
Abstract: This paper starts from the observation that multiple top performing pedestrian detectors can be modelled by using an intermediate layer filtering low-level features in combination with a boosted decision forest. Based on this observation we propose a unifying framework and experimentally explore different filter families. We report extensive results enabling a systematic analysis. Using filtered channel features we obtain top performance on the challenging Caltech and KITTI datasets, while using only HOG+LUV as low-level features. When adding optical flow features we further improve detection quality and report the best known results on the Caltech dataset, reaching 93% recall at 1 FPPI.
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