Static Anomaly Detection Framework for Android-based Mobile Phones

Honge Ren,Xiyan Xu,Jian Zhang,Yali Chen 보안공학연구지원센터 2016 International Journal of Security and Its Applicat Vol.10 No.12

With the rapid development of wireless communication, mobile network, and embedded system technologies, android-based mobile devices show a number of useful functions and then they are attacked by hackers for obtaining some useful information. In this paper, an efficient static anomaly detection framework is shown for android-based mobile phones to improve their security. The proposed framework uses support vector machine to perform the anomaly detection and exploits the cloud computing platform to reduce the impact on android-based mobile phones. Experimental results show that the proposed framework is better than existing anomaly detection frameworks in terms of the detection precision and the detection time.

Morphological Detection Method of Micron Wood Fiber Based on Skeleton Information

Honge Ren,Simiao Hu,Meng Zhu 보안공학연구지원센터 2016 International Journal of Multimedia and Ubiquitous Vol.11 No.5

In order to compensate for the lack of mathematical model support for the traditional study of fiber morphology, using polynomial fitting to build microns wood fiber morphological model based on skeleton information. The fiber morphological category can be distinguished by taking derivation of the fitting function. In order to overcome the disadvantages of common morphological detection, the measurement of fiber length and its degree of curvature by using skeleton information is carried out. The length of the skeleton is approximated as the true length of the wood fiber, and the projected length can be calculated according to the endpoint coordinates. Finally, the fiber's curl index was obtained. Through the experiment, it has verified rationality of the fiber morphology model, and it is proved that the measurement method based on skeleton information can be better to avoid the influence of wood fiber morphological changes to the length measuring accuracy, moreover the fiber curl index can be calculated to quantify the bending degree and the type of wood fiber. It is an effective morphological detection method.

Modified Smith Predictor Design and Its Applications to Long Time Delay Systems

Honge REN,Xuehai CAO,Jifeng GUO 보안공학연구지원센터 2015 International Journal of Signal Processing, Image Vol.8 No.5

For the system that can’t be described by the precise mathematical model and has long time delays, the conventional Smith predictor presents poor stability and large overshoot. Based on the conventional Smith predictor, an improved fuzzy adaptive PID-Smith predictor is proposed. It uses a fuzzy self-tuning PID controller as the primary controller instead of the traditional PID controller. In addition, a feedback loop and an adaptive regulator are imported to ensure the stability and enhance the adaptability of the variable environment. The simulation results show that the new scheme has excellent stability and robustness and can solve the problem of large overshoot in long time delay systems, even when the model mismatch rate comes to 40%.

Tree Image Segmentation Based on an Improved Two-Dimensional Otsu Algorithm

Honge Ren,Yang Zhou,Meng Zhu 보안공학연구지원센터 2016 International Journal of Hybrid Information Techno Vol.9 No.9

Influenced by light, houses, street lamps and other factors, tree images often contain noise and complex background information. The existing Otsu segmentation algorithms have deficiencies such as poor anti-noise capability, ignoring the class cohesion and so on. Based on the traditional gray value-neighborhood average gradient Otsu segmentation method, we propose an improved two-dimensional Otsu algorithm for tree image segmentation. The algorithm takes into account the between-class distance and within-class distance, which combined the average variance concept of two categories and proposed new threshold selection method, and reduce the interference of noise effectively. To achieve the best segmentation and reduce over-segmentation of background information, a method of removing small areas and morphological processing are used to optimize segmentation results. Experimental results show that the proposed algorithm has a good inhibition effect on noise and the effect of tree image segmentation is better than that of the traditional one.

Secalonic acid D; A Cytotoxic Constituent from Marine Lichen-derived Fungus Gliocladium sp. T31

Hong Ren,Li Tian,Qianqun Gu,Weiming Zhu 대한약학회 2006 Archives of Pharmacal Research Vol.29 No.1

Secalonic acid D (SAD) was isolated as the major secondary metabolite of the marine lichenderived fungus Gliocladium sp. T31. Its structure was established on the basic of physicochemical and spectroscopic data. This is the first report on the isolation of SAD from this fungus, as well as its inhibitory effect on K562 cell cycle and its cytotoxicity against several tumor cell lines in vitro.

Methanol synthesis from CO2 hydrogenation over Cu/g-Al2O3 catalysts modified by ZnO, ZrO2 and MgO

Hong Ren,Cheng-Hua Xu,Hao-Yang Zhao,Ya-Xue Wang,Jie Liu,Jian-Ying Liu 한국공업화학회 2015 Journal of Industrial and Engineering Chemistry Vol.28 No.-

Cu/g-Al2O3 catalysts for methanol synthesis from CO2 are prepared and modified by metal oxides viaimpregnation in the present work. Results indicate that promoters modification leads to the formation ofsmall Cu0 particles with a high dispersion, improves catalytic performance of Cu-based catalysts inmethanol synthesis. Moreover, the activation temperature is another important factor on affecting theCu0 dispersion and particle size. The investigation on CO2 hydrogenation shows that methanol is mainlyfrom hydrogenation of activated CO2 with active hydrogen on Cu0 particles, which is inhibited by highreaction temperature due to improvement on reverse water-gas shift reaction and methanation

Improvement and Research on Efficient Motion Estimation Algorithm in Video Compression

Hong Chen,Jia Ren 보안공학연구지원센터 2015 International Journal of Multimedia and Ubiquitous Vol.10 No.11

To improve and enhance the estimation speed and accuracy of motion estimation, this paper proposes a fast diamond search algorithm with improved search strategy; researches motion estimation algorithm by using pattern block matching; analyzes and set up fast searching algorithm model based on the fast convergence characteristics of three step search, the central distribution characteristics of new three step search and the approximate global optimal characteristics of diamond search; use the coarse positioning and fortified halfway stop technologies to establish improved diamond search algorithm; gives the method of reducing the number of search bits. Through experiment and analysis, the results show that the improved diamond search algorithm can effectively reduce the matching points

On Ditransitive Constructions: A Neo-Transformational Approach

Ren Shan,Sung Shim Hong 한국 현대 언어학회 2009 언어연구 Vol.25 No.3

Ditransitive constructions in English have been extensively studied by many scholars such as Larson (1988/1990), Aoun & Li (1989), Pesetsky (1995), den Dikken (1995), Harley (2002), Emonds & Whitney (2006), etc., and the grammatical relationship between the double object construction and the dative construction has been one of the main research topics in the generative syntax for decades. This paper reviews the two different approaches, a Transformational and a non-Transformational (or Lexicalist) approach, to the relationship between Double Object Construction (henceforth DOC) and Dative Construction (henceforth DC). We show that the typological variations in Chinese ditransitive constructions can easily, with an appropriate minor modification/revision, be accounted for under the Larsonian VP-shell architecture, which is a transformational approach. Furthermore, based on the identical semantic entailments between Chinese DC and DOC constructions, we argue that Chinese DCs and DOCs are better analyzed if a transformationalist approach is adopted, which constitutes a cross-linguistic support for the phenomena. (Chungnam National University)

Two New Hetero-Spirocyclic γ -Lactam Derivatives from Marine Sediment-derived Fungus Aspergillus sydowi D2-6

Hong Ren,Rui Liu,Li Chen,Tianjiao Zhu,Wei Ming Zhu,Qian Qun Gu 대한약학회 2010 Archives of Pharmacal Research Vol.33 No.4

Two new hetero-spirocyclic γ-lactams, azaspirofurans A (1) and B (2), had been isolated from a marine sediment-derived fungus Aspergillus sydowi D2-6. Their structures were determined by the chemical evidence and spectral analyses. Compound 1 exhibited cytotoxicity against A549 cell line with the IC50 value of 10 μM by MTT method.

Resource Self-adaptive Allocation Method Based on Mixed Prediction Cloud Platform

Hong Qi,Honge Ren,Guanglei Zhang 보안공학연구지원센터 2015 International Journal of Database Theory and Appli Vol.8 No.3

There are some problems in the existing cloud platform resource allocation methods, such as low rates of resource utilization and the lack of accurate prediction of the trend changes of resources, etc. To solve these problems, MPRA(Mixed Prediction Based Resource Allocation)was proposed. According to the periodic and non-periodic characteristics of service resources demand, MPRA first adopts FFT(Fast Fourier Transform) to judge the periodic characteristics. For resource allocation without periodic characteristics, it uses Markov process to predict, and obtains the higher resource utilization and prediction accuracy, thus, to ensure the user experience. The experimental results show that MPRA can accurately predict the change trend of service resource requirements, and then can allocate the virtual machine resources self-adaptively according to the prediction results. Obviously, it has improved the virtual machine resources utilization, reduced the occupation number of physical machines and effectively reduced the violation times in SLA (Service-level Agreement).