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Research and application of digital oilfield cloud computing EI Scopus
会议论文 | 2019 , (216039) , 595-599 | 7th International Field Exploration and Development Conference, IFEDC 2017
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Abstract :

As core of back-end system of digital oilfield framework, Reservoir Decision-Making Supporting System (RDMS) of Changqing Oilfield Company contains variety of databases, softwares, and large amount of users. The management of hardware, software resources, and IT operations faces new challenges. Due to difficulties above, a working mentality of RDMS cloud service center is proposed according to the advantage of could computing in system infrastructure, user desktop, and data storage. Based on recent RDMS resource situation, the center mainly focuses on establishment of cloud computing resource pool, virtual desktop access, and cloud storage. Besides, application in the field conveys that utilization ratio of hardware increases from 10 to 70%, bearing capacity improves three times, as well as it greatly improves the implementation efficiency of RDMS software. Problems such as low utilization ratio of hardware resources, fussy initialization of RDMS plug-ins, and security of intermediate outcomes storage are solved. In the meanwhile, cloud service center realizes centralized management of hardware resource, dynamic allocation of users’ need, unity of program development, integrated application of professional softwares. Finally, technical support of cloud computing facilitation in other oilfield business area is provided. © Springer Nature Singapore Pte Ltd. 2019.

Keyword :

Centralized management Changqing oilfield companies Cloud storages Integrated applications Professional software Research and application Server resources System infrastructure

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GB/T 7714 Jiao, Yang , Shi, Yujiang , Wang, Juan et al. Research and application of digital oilfield cloud computing [C] . 2019 : 595-599 .
MLA Jiao, Yang et al. "Research and application of digital oilfield cloud computing" . (2019) : 595-599 .
APA Jiao, Yang , Shi, Yujiang , Wang, Juan , Xie, Shan , Liang, Lixing . Research and application of digital oilfield cloud computing . (2019) : 595-599 .
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A New Method for Retrieving Batik Shape Patterns EI SSCI SCIE Scopus
期刊论文 | 2018 , 69 (4) , 578-599 | JOURNAL OF THE ASSOCIATION FOR INFORMATION SCIENCE AND TECHNOLOGY
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Abstract :

Batik as a traditional art is well regarded due to its high aesthetic quality and cultural heritage values. It is not uncommon to reuse versatile decorative shape patterns across batiks. General-purpose image retrieval methods often fail to pay sufficient attention to such a frequent reuse of shape patterns in the graphical compositions of batiks, leading to suboptimal retrieval results, in particular for identifying batiks that use copyrighted shape patterns without proper authorization for law-enforcement purposes. To address the lack of an optimized image retrieval method suited for batiks, this study proposes a new method for retrieving salient shape patterns in batiks using a rich combination of global and local features. The global features deployed were extracted according to the Zernike moments (ZMs); the local features adopted were extracted through curvelet transformations that characterize shape contours embedded in batiks. The method subsequently incorporated both types of features via matching a weighted bipartite graph to measure the visual similarity between any pair of batik shape patterns through supervised distance metric learning. The derived similarity metric can then be used to detect and retrieve similar shape patterns appearing across batiks, which in turn can be employed as a reliable similarity metric for retrieving batiks. To explore the usefulness of the proposed method, the performance of the new retrieval method is compared against that of three peer methods as well as two variants of the proposed method. The experimental results consistently and convincingly demonstrate that the new method indeed outperforms the state-of-the-art methods in retrieving salient shape patterns in batiks.

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GB/T 7714 Yuan, Qingni , Xu, Songhua , Jian, Lv . A New Method for Retrieving Batik Shape Patterns [J]. | JOURNAL OF THE ASSOCIATION FOR INFORMATION SCIENCE AND TECHNOLOGY , 2018 , 69 (4) : 578-599 .
MLA Yuan, Qingni et al. "A New Method for Retrieving Batik Shape Patterns" . | JOURNAL OF THE ASSOCIATION FOR INFORMATION SCIENCE AND TECHNOLOGY 69 . 4 (2018) : 578-599 .
APA Yuan, Qingni , Xu, Songhua , Jian, Lv . A New Method for Retrieving Batik Shape Patterns . | JOURNAL OF THE ASSOCIATION FOR INFORMATION SCIENCE AND TECHNOLOGY , 2018 , 69 (4) , 578-599 .
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Reliable gene mutation prediction in clear cell renal cell carcinoma through multi-classifier multi-objective radiogenomics model. PubMed Scopus
期刊论文 | 2018 | Physics in medicine and biology
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Abstract :

Genetic studies have identified associations between gene mutations and clear cell renal cell carcinoma (ccRCC). Since the complete gene mutational landscape cannot be characterized through biopsy and sequencing assays for each patient, non-invasive tools are needed to determine the mutation status for tumors. Radiogenomics may be an attractive alternative tool to identify disease genomics by analyzing amounts of features extracted from medical images. Most current radiogenomics predictive models are built based on a single classifier and trained through a single objective. However, since many classifiers are available, selecting an optimal model is challenging. On the other hand, a single objective may not be a good measure to guide model training. We proposed a new multi-classifier multi-objective (MCMO) radiogenomics predictive model. To obtain more reliable prediction results, similarity-based sensitivity and specificity were defined and considered as the two objective functions simultaneously during training. To take advantage of different classifiers, the evidential reasoning (ER) approach was used for fusing the output of each classifier. Additionally, a new similarity-based multi-objective optimization algorithm (SMO) was developed for training the MCMO to predict ccRCC related gene mutations (VHL, PBRM1 and BAP1) using quantitative CT features. Using the proposed MCMO model, we achieved a predictive area under the receiver operating characteristic curve (AUC) over 0.85 for VHL, PBRM1 and BAP1 genes with balanced sensitivity and specificity. Furthermore, MCMO outperformed all the individual classifiers, and yielded more reliable results than other optimization algorithms and commonly used fusion strategies.

Keyword :

radiogenomics outcome prediction multi-objective optimazation evidential reasoning multi-classifier

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GB/T 7714 Chen Xi , Zhou Zhiguo , Hannan Raquibul et al. Reliable gene mutation prediction in clear cell renal cell carcinoma through multi-classifier multi-objective radiogenomics model. [J]. | Physics in medicine and biology , 2018 .
MLA Chen Xi et al. "Reliable gene mutation prediction in clear cell renal cell carcinoma through multi-classifier multi-objective radiogenomics model." . | Physics in medicine and biology (2018) .
APA Chen Xi , Zhou Zhiguo , Hannan Raquibul , Thomas Kimberly , Pedrosa Ivan , Kapur Payal et al. Reliable gene mutation prediction in clear cell renal cell carcinoma through multi-classifier multi-objective radiogenomics model. . | Physics in medicine and biology , 2018 .
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Joint Source and Channel Rate Allocation over Noisy Channels in a Vehicle Tracking Multimedia Internet of Things System. EI PubMed Scopus
期刊论文 | 2018 , 18 (9) | Sensors
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Abstract :

As an emerging type of Internet of Things (IoT), multimedia IoT (MIoT) has been widely used in the domains of healthcare, smart buildings/homes, transportation and surveillance. In the mobile surveillance system for vehicle tracking, multiple mobile camera nodes capture and upload videos to a cloud server to track the target. Due to the random distribution and mobility of camera nodes, wireless networks are chosen for video transmission. However, the tracking precision can be decreased because of degradation of video quality caused by limited wireless transmission resources and transmission errors. In this paper, we propose a joint source and channel rate allocation scheme to optimize the performance of vehicle tracking in cloud servers. The proposed scheme considers the video content features that impact tracking precision for optimal rate allocation. To improve the reliability of data transmission and the real-time video communication, forward error correction is adopted in the application layer. Extensive experiments are conducted on videos from the Object Tracking Benchmark using the H.264/AVC standard and a kernelized correlation filter tracking scheme. The results show that the proposed scheme can allocate rates efficiently and provide high quality tracking service under the total transmission rate constraints.

Keyword :

forward error correction surveillance system vehicle tracking video analysis multimedia IoT rate allocation

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GB/T 7714 Mei Yixin , Li Fan , He Lijun et al. Joint Source and Channel Rate Allocation over Noisy Channels in a Vehicle Tracking Multimedia Internet of Things System. [J]. | Sensors , 2018 , 18 (9) .
MLA Mei Yixin et al. "Joint Source and Channel Rate Allocation over Noisy Channels in a Vehicle Tracking Multimedia Internet of Things System." . | Sensors 18 . 9 (2018) .
APA Mei Yixin , Li Fan , He Lijun , Wang Liejun . Joint Source and Channel Rate Allocation over Noisy Channels in a Vehicle Tracking Multimedia Internet of Things System. . | Sensors , 2018 , 18 (9) .
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Cold atmospheric plasma as a potential tool for multiple myeloma treatment. PubMed Scopus
期刊论文 | 2018 , 9 (26) , 18002-18017 | Oncotarget
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Abstract :

Multiple myeloma (MM) is a fatal and incurable hematological malignancy thus new therapy need to be developed. Cold atmospheric plasma, a new technology that could generate various active species, could efficiently induce various tumor cells apoptosis. More details about the interaction of plasma and tumor cells need to be addressed before the application of gas plasma in clinical cancer treatment. In this study, we demonstrate that He+O2 plasma could efficiently induce myeloma cell apoptosis through the activation of CD95 and downstream caspase cascades. Extracellular and intracellular reactive oxygen species (ROS) accumulation is essential for CD95-mediated cell apoptosis in response to plasma treatment. Furthermore, p53 is shown to be a key transcription factor in activating CD95 and caspase cascades. More importantly, we demonstrate that CD95 expression is higher in tumor cells than in normal cells in both MM cell lines and MM clinical samples, which suggests that CD95 could be a favorable target for plasma treatment as it could selectively inactivate myeloma tumor cells. Our results illustrate the molecular details of plasma induced myeloma cell apoptosis and it shows that gas plasma could be a potential tool for myeloma therapy in the future.

Keyword :

selective inactivation cold atmospheric plasma CD95 reactive oxygen species multiple myeloma

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GB/T 7714 Xu Dehui , Xu Yujing , Cui Qingjie et al. Cold atmospheric plasma as a potential tool for multiple myeloma treatment. [J]. | Oncotarget , 2018 , 9 (26) : 18002-18017 .
MLA Xu Dehui et al. "Cold atmospheric plasma as a potential tool for multiple myeloma treatment." . | Oncotarget 9 . 26 (2018) : 18002-18017 .
APA Xu Dehui , Xu Yujing , Cui Qingjie , Liu Dingxin , Liu Zhijie , Wang Xiaohua et al. Cold atmospheric plasma as a potential tool for multiple myeloma treatment. . | Oncotarget , 2018 , 9 (26) , 18002-18017 .
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Ultrabroadband Three-Dimensional Printed Radial Perfectly Symmetric Gradient Honeycomb All-Dielectric Dual-Directional Lightweight Planar Luneburg Lens. EI PubMed Scopus
期刊论文 | 2018 | ACS applied materials & interfaces
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Abstract :

An ultrabroadband all-dielectric planar Luneburg lens has been designed and fabricated in this study, which is in the form of a radial gradient lightweight honeycomb column. Because of the novel design of a radial symmetric honeycomb-like microstructure in the subwavelength dimension and the radial gradient configuration according to the refractive index distribution of Luneburg lens, the present lens can focus incident plane waves on the opposite side with high convergence, and its operating frequency range is rather broadband, spanning from 6 to 16 GHz. Besides, the all-dielectric honeycomb-like lens is lightweight with a mass density of 0.23 g/cm<sup>3</sup>, and its broadband transmittance is higher than the reported cases consisting of metallic metamaterial or gradient photonic crystal structures. A prototype of the lens is fabricated by using 3D printing techniques, on which the electric near-field distribution and far-field radiation pattern measurements have been carried out, and the aforementioned performances were demonstrated experimentally. It was also observed that for two point sources placed at the edge of the lens whose intersection angle with the center of the lens is 90°, the far-field radiation pattern was still kept highly directional, which means that the lens can generate two highly directional beams simultaneously, and is an efficient double input-double output device.

Keyword :

gradient metamaterial honeycomb structure ultrabroadband dual directive lightweight all-dielectric Luneburg lens

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GB/T 7714 Chen Jin , Yuan Xujin , Chen Mingji et al. Ultrabroadband Three-Dimensional Printed Radial Perfectly Symmetric Gradient Honeycomb All-Dielectric Dual-Directional Lightweight Planar Luneburg Lens. [J]. | ACS applied materials & interfaces , 2018 .
MLA Chen Jin et al. "Ultrabroadband Three-Dimensional Printed Radial Perfectly Symmetric Gradient Honeycomb All-Dielectric Dual-Directional Lightweight Planar Luneburg Lens." . | ACS applied materials & interfaces (2018) .
APA Chen Jin , Yuan Xujin , Chen Mingji , Cheng Xiaodong , Zhang Anxue , Peng Gantao et al. Ultrabroadband Three-Dimensional Printed Radial Perfectly Symmetric Gradient Honeycomb All-Dielectric Dual-Directional Lightweight Planar Luneburg Lens. . | ACS applied materials & interfaces , 2018 .
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Maximum correntropy square-root cubature Kalman filter with application to SINS/GPS integrated systems. EI PubMed Scopus
期刊论文 | 2018 , 80 , 195-202 | ISA transactions
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Abstract :

For a nonlinear system, the cubature Kalman filter (CKF) and its square-root version are useful methods to solve the state estimation problems, and both can obtain good performance in Gaussian noises. However, their performances often degrade significantly in the face of non-Gaussian noises, particularly when the measurements are contaminated by some heavy-tailed impulsive noises. By utilizing the maximum correntropy criterion (MCC) to improve the robust performance instead of traditional minimum mean square error (MMSE) criterion, a new square-root nonlinear filter is proposed in this study, named as the maximum correntropy square-root cubature Kalman filter (MCSCKF). The new filter not only retains the advantage of square-root cubature Kalman filter (SCKF), but also exhibits robust performance against heavy-tailed non-Gaussian noises. A judgment condition that avoids numerical problem is also given. The results of two illustrative examples, especially the SINS/GPS integrated systems, demonstrate the desirable performance of the proposed filter.

Keyword :

Square-root cubature Kalman filter (SCKF) Maximum correntropy criterion (MCC) SINS/GPS integrated systems

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GB/T 7714 Liu Xi , Qu Hua , Zhao Jihong et al. Maximum correntropy square-root cubature Kalman filter with application to SINS/GPS integrated systems. [J]. | ISA transactions , 2018 , 80 : 195-202 .
MLA Liu Xi et al. "Maximum correntropy square-root cubature Kalman filter with application to SINS/GPS integrated systems." . | ISA transactions 80 (2018) : 195-202 .
APA Liu Xi , Qu Hua , Zhao Jihong , Yue Pengcheng . Maximum correntropy square-root cubature Kalman filter with application to SINS/GPS integrated systems. . | ISA transactions , 2018 , 80 , 195-202 .
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Self-Adaption Matched Filter and Bi-Directional Difference Method for Moving Target Detection. EI PubMed Scopus
期刊论文 | 2018 , 18 (10) | Sensors
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Abstract :

In this paper, a self-adaption matched filter (SMF) and bi-directional difference techniques are proposed to detect a small moving target in urban environments. Firstly, the SMF technique is proposed to improve the signal-to-interference-noise ratio (SINR) by using the power factor. The properties of the transmitting signal, the target echoes and the interference and noise are considered during the power factor generation. The amplitude coherent accumulation technique that extracts the coherent amplitude information of echoes after being processed by the SMF, is used to improve the SINR based on multiple measurements. Finally, the bi-directional difference technique is proposed to distinguish the target echoes and the interference/noise. Simulations and experiments are conducted to validate and demonstrate that small moving targets can be detected with high probability using the proposed method in urban environments, even with just one measurement.

Keyword :

low signal-to-interference-noise ratio (SINR) self-adaption matched filter target detection linear frequency modulation (LFM) signal

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GB/T 7714 Zhu Shitao , Chen Xiaoming , Pan Xuehan et al. Self-Adaption Matched Filter and Bi-Directional Difference Method for Moving Target Detection. [J]. | Sensors , 2018 , 18 (10) .
MLA Zhu Shitao et al. "Self-Adaption Matched Filter and Bi-Directional Difference Method for Moving Target Detection." . | Sensors 18 . 10 (2018) .
APA Zhu Shitao , Chen Xiaoming , Pan Xuehan , Dong Xiaoli , Shi Hongyu , Zhang Anxue et al. Self-Adaption Matched Filter and Bi-Directional Difference Method for Moving Target Detection. . | Sensors , 2018 , 18 (10) .
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Adaptive Fifth-Degree Cubature Information Filter for Multi-Sensor Bearings-Only Tracking. EI PubMed Scopus
期刊论文 | 2018 , 18 (10) | Sensors
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Abstract :

Standard Bayesian filtering algorithms only work well when the statistical properties of system noises are exactly known. However, this assumption is not always plausible in real target tracking applications. In this paper, we present a new estimation approach named adaptive fifth-degree cubature information filter (AFCIF) for multi-sensor bearings-only tracking (BOT) under the condition that the process noise follows zero-mean Gaussian distribution with unknown covariance. The novel algorithm is based on the fifth-degree cubature Kalman filter and it is constructed within the information filtering framework. With a sensor selection strategy developed using observability theory and a recursive process noise covariance estimation procedure derived using the covariance matching principle, the proposed filtering algorithm demonstrates better estimation accuracy and filtering stability. Simulation results validate the superiority of the AFCIF.

Keyword :

sensor selection covariance matching cubature information filter multi-sensor bearings-only tracking

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GB/T 7714 Jiang Haonan , Cai Yuanli . Adaptive Fifth-Degree Cubature Information Filter for Multi-Sensor Bearings-Only Tracking. [J]. | Sensors , 2018 , 18 (10) .
MLA Jiang Haonan et al. "Adaptive Fifth-Degree Cubature Information Filter for Multi-Sensor Bearings-Only Tracking." . | Sensors 18 . 10 (2018) .
APA Jiang Haonan , Cai Yuanli . Adaptive Fifth-Degree Cubature Information Filter for Multi-Sensor Bearings-Only Tracking. . | Sensors , 2018 , 18 (10) .
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An Efficient Algorithm for Sensitively Detecting Circular RNA from RNA-seq Data. PubMed Scopus
期刊论文 | 2018 , 19 (10) | International journal of molecular sciences
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Abstract :

Circular RNA (circRNA) is an important member of non-coding RNA family. Numerous computational methods for detecting circRNAs from RNA-seq data have been developed in the past few years, but there are dramatic differences among the algorithms regarding the balancing of the sensitivity and precision of the detection and filtering strategies. To further improve the sensitivity, while maintaining an acceptable precision of circRNA detection, a novel and efficient <i>de novo</i> detection algorithm, CIRCPlus, is proposed in this paper. CIRCPlus accurately locates circRNA candidates by identifying a set of back-spliced junction reads by comparing the local similar sequence of each pair of spanning junction reads. This strategy, thus, utilizes the important information provided by unbalanced spanning reads, which facilitates the detection especially when the expression levels of circRNA are unapparent. The performance of CIRCPlus was tested and compared to the existing <i>de novo</i> methods on the real datasets as well as a series of simulation datasets with different configurations. The experiment results demonstrated that the sensitivities of CIRCPlus were able to reach 90% in common simulation settings, while CIRCPlus held balanced sensitivity and reliability on the real datasets according to an objective assessment criteria based on RNase R-treated samples. The software tool is available for academic uses only.

Keyword :

local similar sequence de novo detection RNA-seq high sensitivity

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GB/T 7714 Zhang Xuanping , Wang Yidan , Zhao Zhongmeng et al. An Efficient Algorithm for Sensitively Detecting Circular RNA from RNA-seq Data. [J]. | International journal of molecular sciences , 2018 , 19 (10) .
MLA Zhang Xuanping et al. "An Efficient Algorithm for Sensitively Detecting Circular RNA from RNA-seq Data." . | International journal of molecular sciences 19 . 10 (2018) .
APA Zhang Xuanping , Wang Yidan , Zhao Zhongmeng , Wang Jiayin . An Efficient Algorithm for Sensitively Detecting Circular RNA from RNA-seq Data. . | International journal of molecular sciences , 2018 , 19 (10) .
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