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- Volume 13, Issue 4, 2019
Recent Patents on Engineering - Volume 13, Issue 4, 2019
Volume 13, Issue 4, 2019
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Recent Patent on a Tree-type Cylindrical-shaped Nanoporous Filtering Membrane
More LessBackground: Nanoporous filtering membranes can be used for super purification including a liquid-liquid separation. It is the aim of engineers to design these membranes with good filtration capabilities, high fluxes and satisfying mechanical strengths. Realistic membranes need to have a balance among these performances to achieve satisfactory overall performances. Objective: The study aims to show a tree-type cylindri Read More
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Review on Seawater Greenhouse: Achievements and Future Development
Authors: Tahani K. Bait-Suwailam and Abdulrahim M. Al-IsmailiBackground: Seawater greenhouse (SWGH) is a technology established to overcome issues related to open field cultivation in arid areas like high temperatures and freshwater shortage. So far, five pilot Seawater greenhouses were built around the world; in Spain, United Arab Emirates, Oman, Australia and Somaliland. All the patents related to the Seawater greenhouse components and designs mentioned were reviewed. Meth Read More
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Cloud Provider's Response to Multiple Models of Attack Behaviors
Authors: Xu Liu, Xiaoqiang Di, Jinqing Li, Huamin Yang, Ligang Cong and Jianping ZhaoBackground: User behavior models have been widely used to simulate attack behaviors in the security domain. We revised all patents related to response to attack behavior models. How to decide the protected target against multiple models of attack behaviors is studied. Methods: We utilize one perfect rational and three bounded rational behavior models to simulate attack behaviors in cloud computing, and then investigate Read More
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Supervised Dimension Reduction by Local Neighborhood Optimization for Image Processing
Authors: Liyan Zhao, Huan Wang and Jing WangBackground: Subspace learning-based dimensionality reduction algorithms are important and have been popularly applied in data mining, pattern recognition and computer vision applications. They show the successful dimension reduction when data points are evenly distributed in the high-dimensional space. However, some may distort the local geometric structure of the original dataset and result in a poor low-dimensional Read More
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Off-line Chinese Signature Verification Using Convolutional Neural Network
Authors: Shao Hong, Xu Rongze, Guo Xiaopeng and Cui WenchengBackground: The unique individual biological characteristics is used for identification in biometrics, which is safe and difficult to forge. Therefore, it can help to enhance the safety of access control system. Since the developing of modern information science and technology, computerbased signature verification system enables signature verification more efficiently and automatically in comparison with traditional human iden Read More
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A New User-controlled and Efficient Encrypted Data Sharing Model in Cloud Storage
Authors: Yuezhong Wu, Wei Chen, Shuhong Chen, Guojun Wang and Changyun LiBackground: Cloud storage is generally used to provide on-demand services with sufficient scalability in an efficient network environment, and various encryption algorithms are typically applied to protect the data in the cloud. However, it is non-trivial to obtain the original data after encryption and efficient methods are needed to access the original data. Methods: In this paper, we propose a new user-controlled and Read More
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Hybrid Spectrum Handoff Scheme of Imperfect Sensing in Cognitive Radio Networks
Authors: Peng Junwei, Han Zhiren, Tao Kai and Li WeishuangBackground: In the actual cognitive radio network, there exist the imperfect sensing such as false alarm and missed detection which can lead to the inaccurate spectrum handoff and cause more uncertain problems. Meanwhile, the predetermined target channel has high risk of being unavailable in the proactive-decision spectrum handoff scheme. Objective: To solve the problem that the state of the predetermined tar Read More
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System Modeling and Precoding Design for Multi-beam Dual-polarized Satellite MIMO System
Authors: Tao Kai, Sun Xiaoyun, Wang Yang and Jingchun LiBackground: As the multimedia service develops and the transmission rate in terrestrial communication systems increases rapidly, satellite communication needs to improve the transmission rate and throughput. Multiple Input Multiple Output (MIMO) techniques can increase the system capacity significantly by introducing the space dimension, as the system bandwidth remains the same. Therefore, utilization of MIMO for Read More
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Predicting Student Study Failure Risk Using Artificial Neural Network Method
Authors: Mi Chunqiao, Deng Qingyou, Peng Xiaoning and Lin JingBackground: Study failure in a course is very complicated which is always affected by many different factors and is characterized by uncertainties. We reviewed previous literatures and patents relating to student failure prediction, while there seems to be no ideal method or tool which can easily learn the relationship between failure results and reasons. Methods: In this study a method of artificial neural network was provid Read More
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A Novel Low Rank Spectral Clustering Method for Face Identification
More LessBackground: Low rank is a recent significant model to explore the inner subspace structure of samples, which has been successfully used in many pattern recognition tasks. Methods: In this paper, we proposed a novel spectral clustering method to address the face identification problem. There are three main contributions in our paper. Firstly, the sparse coding under a cluster-based learned dictionary is taken as the character s Read More
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Multi-scales Image Denoising Method Based on Joint Confidence Probability of Coefficients
Authors: Dandan Tan, Yiming Zhang and Bingxu HanBackground: It is a classic problem that we estimate the original coefficient from the known coefficient disturbed with noise. Methods: This paper proposes an image denoising method which combines the dual-tree complex wavelet with good direction selection and translation invariance. Firstly, we determine the expression of probability density function through estimating the parameters by the variance and the fourth-or Read More
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Improved K-means Clustering Algorithm and its Applications
Authors: Hui Qi, Jinqing Li, Xiaoqiang Di, Weiwu Ren and Fengrong ZhangBackground: K-means algorithm is implemented through two steps: initialization and subsequent iterations. Initialization is to select the initial cluster center, while subsequent iterations are to continuously change the cluster center until it won't change any more or the number of iterations reaches its maximum. K-means algorithm is so sensitive to the cluster center selected during initialization that the selection of a differen Read More
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Research on Authentication of User Information in Cloud Manufacturing
Authors: Xiaolan Xie, Xiao Zhou and Yarong LiuBackground: Aiming at the problem of user information security authentication in cloud manufacturing, a user information security authentication model is proposed. The model is introduced in detail. Methods: In the security authentication model, the point set topology group fractal transformation algorithm is combined with the biometric identification technology to acquire the user biometric information to generate Read More
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An Improved Genetic Algorithm on Hybrid Information Scheduling
Authors: Jingmei Li, Qiao Tian, Fangyuan Zheng and Weifei WuBackground: Patents suggest that efficient hybrid information scheduling algorithm is critical to achieve high performance for heterogeneous multi-core processors. Because the commonly used list scheduling algorithm obtains the approximate optimal solution, and the genetic algorithm is easy to converge to the local optimal solution and the convergence rate is slow. Methods: To solve the above two problems, the thesis propos Read More
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Emitter Individual Identification Based on Nonlinearity Analysis of Oscillators
Authors: Han Bao and Hongyan YaoBackground: According to the characteristics of phase noise, phase noise power spectrum feature was used for emitter individual identification. Methods: For different emitter individuals, we established a phase noise model with the influence of both transmitter and receiver based on the research of its characteristics. Using power spectrum of phase noise, the corresponding scattered information entropy was proposed. T Read More
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Parameter Optimization of Generalized S Transform Based on Improved Genetic Algorithm
Authors: Yun Lin, Xiaowan Yu and Chunguang MaBackground: For the traditional Fourier Transform (FT), it cannot effectively detect the frequency of non-stationary signals with time. Analyzing the local characteristics of time-varying signal by using FT is hard to achieve. Therefore, many time-frequency analysis methods which can meet different needs have been proposed on the basis of the traditional Fourier transform, like the Short Time Fourier Transform (STFT), the w Read More
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A Novel Classifier Design Algorithm Based on Gray Relation Theory
Authors: Hui Han, Jingchao Li, Xiang Chen and Yulong YingBackground: With the technical development of counter-reconnaissance and antijamming, communication system becomes more and more complex, and therefore, the recognition of communication signal becomes a challenging task according to recent patents. In order to achieve successful recognition and classification of radiation source signal under variant SNR environment, the design and selection of classifier Read More
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Finite Element Simulation, Analysis and Research on the Influence of 3D Printing Parameters on Forming Precision
Authors: Zhang Baoqing, Mohammad I. Farid, Yu Shuo, Cao Cong and Shaoze ZhangBackground: 3D printing technology is an emerging technology based on additive ideas. Desktop-level 3D printers molded by Fused Deposition Modeling (FDM) are widely used. However, their printing accuracy is relatively low accompanied by severe warpage, which limits its application scope and fields. Therefore, analysis of the cause of warpage in the printing process and optimization, has important practical significan Read More
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Development and Performance Research of New Small Displacement Pump with Solid Plunger and Non-coaxial Delivery Valve
Authors: Feng Zi-ming, Duan Weibo and Cui WeiBackground: After the oilfield development coming into the middle and later periods, many oil wells only had liquid production less than 5m3 per day, therefore the present sucker-rod pumps didn’t satisfy the need for oilfield production. We revised all patents relating to small displacement pump and didn’t found any suitable pump for low production well. A new type of pump with small diameter was needed to design for sol Read More
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Volumes & issues
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Volume 19 (2025)
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Volume 18 (2024)
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Volume 17 (2023)
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Volume 16 (2022)
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Volume 15 (2021)
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Volume 14 (2020)
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Volume 13 (2019)
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Volume 12 (2018)
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Volume 11 (2017)
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Volume 10 (2016)
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Volume 9 (2015)
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Volume 8 (2014)
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Volume 7 (2013)
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Volume 6 (2012)
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Volume 5 (2011)
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Volume 4 (2010)
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Volume 3 (2009)
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Volume 2 (2008)
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Volume 1 (2007)
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