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Search Results: 1 - 10 of 80719 matches for " Liu Wenjing "
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IDMA-Based Compressed Sensing for Ocean Monitoring Information Acquisition with Sensor Networks
Gongliang Liu,Wenjing Kang
Mathematical Problems in Engineering , 2014, DOI: 10.1155/2014/430275
Abstract: The ocean monitoring sensor network is a typically energy-limited and bandwidth-limited system, and the technical bottleneck of which is the asymmetry between the demand for large-scale and high-resolution information acquisition and the limited network resources. The newly arising compressed sensing theory provides a chance for breaking through the bottleneck. In view of this and considering the potential advantages of the emerging interleave-division multiple access (IDMA) technology in underwater channels, this paper proposes an IDMA-based compressed sensing scheme in underwater sensor networks with applications to environmental monitoring information acquisition. Exploiting the sparse property of the monitored objects, only a subset of sensors is required to measure and transmit the measurements to the monitoring center for accurate information reconstruction, reducing the requirements for channel bandwidth and energy consumption significantly. Furthermore, with the aid of the semianalytical technique of IDMA, the optimal sensing probability of each sensor is determined to minimize the reconstruction error of the information map. Simulation results with real oceanic monitoring data validate the efficiency of the proposed scheme. 1. Introduction With the ever-increasing demand for marine exploitation and the rapid development of network communication technologies, underwater sensor network (UWSN) [1] has become a new research hotspot in recent years. As the extension of wireless sensor networks (WSN) into ocean, UWSN has potential values in the wide application fields, such as oceanographic information collection, hydrological and environmental monitoring, resources exploration, disaster forecast, underwater navigation, and military defense. This paper focuses on the ocean environmental monitoring application. In this kind of UWSN, a large number of underwater sensor nodes are deployed in the concerned area, which measure the required physical, chemical, or biological phenomena and transmit the measurements to the monitoring center. Then, the monitoring center forms the information map of the monitoring area according to the measurements it received. Due to the particularity of underwater environments [2], wireless acoustic communication is believed as the most suitable physical layer transmission technology in underwater networks. However, wireless acoustic communication has some distinct disadvantages in the following aspects: low carrier frequency leads to limited available bandwidth; low propagation speed of sound leads to long end-to-end delay.
Predicting the Permeability of Fractured Porous Rock  [PDF]
Wenjing Lu, Haojiao Liu
Engineering (ENG) , 2018, DOI: 10.4236/eng.2018.102004
Abstract: Fractures are widely distributed in tight reservoirs. Fractures and pore-throats form the flow path of oil/gas/water in reservoirs. How to determine the permeability of fractured porous reservoirs is still difficult. A group of tight sandstone samples are first used to measure the fractures and analyze the distribution rules between numbers and length, angles. The permeability changing with the fracture’s length and density for different matrixes?is then computed by using pore-fracture network model. At last an empirical formula for predicting the permeability related with the fracture’s length and density is fitted based on the computed data.
Corrosion and Struggle of the Soul in the Den of Monsters
—Image of Zhao Huiming in the Novel Corrosion
 [PDF]

Wenjing Lu
Advances in Literary Study (ALS) , 2018, DOI: 10.4236/als.2018.64015
Abstract: The novel Corrosion, masterpiece of Mao Dun, accused the dark side of the society at that time. Zhao Huiming, the leading role in the novel Corrosion, was a young woman who was misguided first to be a spy and then hoped to break away from the spy organization—“den of monsters”. The novel revealed the corrosion of dark society to the youth by the record of the inner struggle and the life of Zhao Huiming. The author tried to arouse the sympathy and concern of people for the youth by the tragedy of the youth in that era. The novel was tried to show that how the bad and repressive social environment affects the growth of youth. The first and the most important thing for the young people is to distinguish and choose the right road of growth. Even if one is misguided to deviate the right road, he/she can still return to the right direction by struggle and fight to the bad environment and evil forces.
Independency, Awakening of Female Self-Consciousness and Self-Redemption
—Interpretation of a Thousand Splendid Sun
 [PDF]

Wenjing Lu
Advances in Literary Study (ALS) , 2019, DOI: 10.4236/als.2019.71002
Abstract: A Thousand Splendid Sun, the novel created by Hossein, presented the complicated experiences of depression, despair, self-redemption of the two heroines in front of the reader. The most moving point of the novel lies in the awakening and rising up and redemption of the two heroines when the world around them totally collapsed. The novel is still very meaningful to those who are seeking happiness and independent.
The Correlation of Lung Function Indexes and Survival Time of Patients with Advanced Lung Cancer  [PDF]
Wenjing Xu, Zhenghua Jiang, Dongyun Huang, Muyun Zhu, Qian Huang, Hui Ge, Juan Liu, Yan Qin
Journal of Cancer Therapy (JCT) , 2013, DOI: 10.4236/jct.2013.41029
Abstract:

Background: To those patients with advanced lung cancer, the ultimate objective is to improve the quality of life, and lung function is an important factor affecting quality of life. We detect lung function of patients with lung cancer and study the correlation between lung function and the patients’ survival time, to provide reference for evaluation of disease progression and prognosis. Methods: Lung function was detected on 59 cases of lung cancer and 63 normal controls. The relationship between lung function indexes and survival time was analyzed. Results: There was significant difference in ventilation function and diffusing capacity between lung cancer group and control group. Vital capacity (VC), Forced expiratory volume in one second (FEV1), Forced vital capacity (FVC), peak expiratory flow (PEF), peak expiratory flow% (PEF%), Maximal ventilatory volume (MVV) were positively correlated to survival time in patients with advanced lung cancer (r = 0.28522064, 0.28053851, 0.28289252, 0.26908133, 0.26335034, 0.28409036, P < 0.05), residual volume/total lung capacity was negatively correlated to survival time (r = ?0.30760097, P < 0.05). Conclusions: The lung function decrease in the patients with lung cancer. Vital capacity (VC), Forced expiratory volume in one second (FEV1), Forced vital capacity (FVC), peak expiratory flow (PEF), peak expiratory flow% (PEF%), Maximal ventilatory volume (MVV), and residual volume/total lung capacity are correlated to survival time in patients with advanced lung cancer. The lung function indexes are important marker of prognosis of patients with lung

Attenuated Model of Pricing Credit Default Swap under the Fractional Brownian Motion Environment  [PDF]
Wenjing Gu, Yinglin Liu, Ruili Hao
Journal of Mathematical Finance (JMF) , 2016, DOI: 10.4236/jmf.2016.62021
Abstract: This paper mainly discusses the pricing of credit default swap (CDS) in the fractional dimension environment. We assume that the default intensity of a firm depends on the default states of counterparty firms and the term structure of interest rates, but the contagious impact of the counterparty firm is decreasing over time, until disappears. The interest rate risk is reflected by the fractional Vasicek interest rate model. We model the firm’s default intensity in the looping default framework and derive the pricing formulas of risky bonds and credit default swap.
Catch You as I Can: Indoor Localization via Ambient Sound Signature and Human Behavior
Junzhao Du,Wenjing Chen,Yuewei Liu,Yawen Gu,Hui Liu
International Journal of Distributed Sensor Networks , 2013, DOI: 10.1155/2013/434301
Abstract: Localization, together with scene and human activity sensing, provides primitive and essential information for upper layer mobile applications. In this paper, we present a novel indoor localization system. We not only make rough localization by the use of the Wi-Fi/GSM signal, but also use the microphone of the smartphone to deeply sense the environment. By analyzing the ambient sound and speech after voice activity detection, we can know exactly if the user appears somewhere and does something at the regulated time according to his or her schedule. The ambient noise is used to identify the ambient scene, and we can deduce the users’ current activities by the user’s speech sensing. Conclusively, accurate localization and the status information on the user are made by synthesizing the above sound sensing information. And, according to the prestored schedule in the backend server, the location and sensing information are returned to the monitor who wants to know where the user is and what he is doing. We prototype the system on Android mobile phones and evaluate the system comprehensively with data collected from 61 different indoor sites by 100 volunteers over a two-month period of experiments by employing different phone models. We believe this is a novel approach to indoor localization, holding promise of real-world deployment. 1. Introduction Mobile phones are gradually becoming powerful platforms for people-centric computing. As the sensing device has become steadily sophisticated, strong perception capability has been employed on the mobile phone, which ultimately makes it easier to comprehend the location and offer meaningful upper layer service for the users. A variety of applications are on the rise, many of which utilize location information on the phone [1–3]. Localization has been widely adopted in our life and work, and through it we can get shopping lists on a mobile phone when the phone detects the nearby Wal-Mart [4]. We found that all these applications could provide location results without any other information. In addition, they cannot deeply sense the relation between the user’s location and their surroundings. Thus, our goal is to design an efficient surrounding-aware platform in order to provide an accurate recognition of the status for mobile phone users, and at the same time the monitor (such as the boss, teacher, and parents, who have gotten the permission from users) can obtain the active state information by our surrounding-aware platform. Intuitively, the problem of location recognition could be solved by taking advantage of
MSTN Gene Polymorphism and its Relationships with Growth Performance in Ma Shen Porcine
Xueming Guan,Yanfang Liu,Fenglian Bian,Wenjing Zhu,Hongbing Han
Journal of Animal and Veterinary Advances , 2012, DOI: 10.3923/javaa.2012.1173.1176
Abstract: Myostatin gene (MSTN) is a negative regulator of myogenesis which is related to total lean meat yield. A total of 339 individuals of three breeds were used to analyzed polymorphisms by the Polymerase Chain Reacton Single-Strand Conformation Polymorphism (PCR-SSCP) method in the 5'-promoter region of MSTN. This study analyzed the relationship of mutation with the growth traits including Weight at Birth (WB) and Weaning Weight (WW) in Ma Shen swine breeds. Two alleles (A and B) and three genotypes (AA, AB and BB) were identified in MSTN promoter region of Ma Shen swine. The result showed that WB of individuals with genotype BB was significant higher than that with genotype AA and AB (p<0.05). No statistically significant differences were observed in WW (p>0.05) among MSTN variation.
Continuous-time MAXQ Algorithm for Web Service Composition
Hao Tang,Wenjing Liu,Wenjuan Cheng,Lei Zhou
Journal of Software , 2012, DOI: 10.4304/jsw.7.5.943-950
Abstract: Web services composition present a technology to compose complex service applications from individual (atomic) services, that is, through web services composition, distributed applications and enterprise business processes can be integrated by individual service components developed independently. In this paper, we concentrate on the optimization problems of dynamic web service composition, and our goal is to find an optimal composite policy. Different from many traditional composite methods that do not scale to large continuous-time processes, we introduce a hierarchical reinforcement learning technique, i.e., a continuous-time unified MAXQ algorithm, to solve large-scale web service composition problems in the context of continuous-time semi-Markov decision process (SMDP) model under either average- or discounted-cost criteria. The proposed algorithm can avoid the “curse of modeling” and the “curse of dimensionality” existing in the optimization process. Finally, we use a travel reservation as an example to illustrate the high effectiveness of the proposed algorithm, and the simulation results show that, it has better optimization performance and faster learning speed than the flat Q-learning.
IGF-1-Induced Enhancement of PRNP Expression Depends on the Negative Regulation of Transcription Factor FOXO3a
Ting Liu, Wenjing Yi, Boya Feng, Zheng Zhou, Gengfu Xiao
PLOS ONE , 2013, DOI: 10.1371/journal.pone.0071896
Abstract: The conformational conversion of the cellular prion protein (PrPC) into its β-sheet-rich scrapie isoform (PrPSc) causes fatal prion diseases, which are also called transmissible spongiform encephalopathies (TSEs). Recent studies suggest that the expression of PrPC by the PRNP gene is crucial for the development of TSEs. Therefore, the identification of the exogenous and endogenous stimulating factors that regulate PRNP expression would help to understand the pathogenesis of TSEs. Here, we demonstrate that forkhead box O3a (FOXO3a) negatively regulates PRNP expression by binding to the PRNP promoter, which is negatively regulated by insulin-like growth factor 1 (IGF-1). Our results show that the IGF-1-induced enhancement of PRNP mRNA and protein levels is due to the activation of the PI3K-Akt signaling pathway. The activation of Akt then induces the phosphorylation of FOXO3a, leading to its translocation from the nucleus to the cytoplasm and preventing its binding to the PRNP promoter. Treatment with the PI3K-Akt inhibitor LY294002 induces the nuclear retention of FOXO3a, which leads to a decrease in PRNP expression. We present a new IGF-1-PI3K-Akt-FOXO3a pathway, which influences PRNP expression. The results of this work are vital for understanding the function of PrPC and for future therapeutic approaches to human TSEs.
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