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9. End-To-End Android Malware Classification Based on Pure Traffic Images

Author

Zhang Xiaosong, Niu Wei-na, Peng Yujie, Zhou Jie, Hao Wu, and Chen Rui-dong

Subjects
Feature engineering, 050101 languages & linguistics, Traffic analysis, Computer science, business.industry, Deep learning, 05 social sciences, 02 engineering and technology, computer.software_genre, Machine learning, Convolutional neural network, ComputingMethodologies_PATTERNRECOGNITION, 0202 electrical engineering, electronic engineering, information engineering, Malware, 020201 artificial intelligence & image processing, 0501 psychology and cognitive sciences, Artificial intelligence, Android (operating system), Cluster analysis, business, Precision and recall, computer
Abstract

Android security accidents frequently occurred in recent years. It has become an urgent need to propose a method for efficiently detecting and classifying Android malware. Many existing machine learning-based methods often require a lot of time for feature engineering, making it time-consuming to classify malware. To accurately and rapidly detect and classify Android malware, this paper proposes an end-to-end Android malware classification model based on traffic analysis and deep learning. The model uses traffic data generated during the Android APP's runtime as input. First, the traffic data will be processed by a third-party traffic removal module based on the idea of clustering to remove impurity traffic that is not conducive to the classification. Then the pure traffic is converted into pure traffic images which can represent traffic characteristics. Finally, a novel convolutional neural network model named 1.5D-CNN is applied to detect and classify malware by classifying these images. The model was trained and tested on a real Android traffic dataset named CICAndMal2017 which contains the traffic data of benign APPs and four types of malware, and it achieved an average accuracy of 98.5%. Compared with traditional machine learning methods, precision and recall both increased by more than 20 percentage points on average.

Published
2020

10. Research on Mixed Teaching of Flipped Classroom in Vocational Colleges in the Era of Artificial Intelligence

Author

Wang Xueting, Liu Shuo, Cheng Rong, and Wei Na

Subjects
Computer science, business.industry, Vocational education, ComputingMilieux_COMPUTERSANDEDUCATION, Teaching mode, Artificial intelligence, business, Flipped classroom
Abstract

With the rapid development of artificial intelligence, the technology has penetrated deeply into the core areas of high-level education. Higher vocational colleges should help the existing artificial intelligence technology to cultivate more outstanding talents, completely change the traditional teaching mode, make the teaching more scientific, lively and interesting. It should gradually cultivate the ability of students to learn independently, and improve the comprehensive ability, and constantly strengthen the speed and efficiency of basic teaching.

Published
2020

19. Cardiac Ectopic Thyroid a Case Report and Literature Review

Author

Li Qun, Wang Peisong, Lv Zhi, Chen Guang, and Wei Na

Subjects
Larynx, endocrine system, endocrine system diseases, Ectopic thyroid, business.industry, Thyroglossal duct, Hyoid bone, Thyroid, Pharynx, Anatomy, Ectopic Thyroid Gland, 030204 cardiovascular system & hematology, 03 medical and health sciences, 0302 clinical medicine, medicine.anatomical_structure, stomatognathic system, 030228 respiratory system, Tongue, medicine, business
Abstract

The ectopic thyroid gland is an abnormal development of the embryo. The thyroid gland does not appear in other parts of the neck, such as the pharynx, the tongue, the hyoid bone, the subgut, the anterior larynx, the sternum, the trachea, the esophagus, the sternum, and rearly chest, etc. Most of the ectopic thyroid occurs in the path around the thyroglossal duct or on the lateral side of the neck. The thyroid gland, which is located at the base of the tongue, is the most common ectopic thyroid gland, followed by the lingual bone and its upper and lower levels. However, ectopic thyroid occurs in the heart, which is rare. Since the 1980s, there have been only 20 cases in the world, while only 2 cases have been reported in China. Below we report a case of patient with a cardiac ectopic thyroid.

Published
2019

20. Multiplex Recurrence Network Analysis of Inter-Muscular Coordination During Sustained Grip and Pinch Contractions at Different Force Levels.

Author

Zhang, Na, Li, Ke, Li, Guanglin, Nataraj, Raviraj, and Wei, Na

Subjects
PREHENSION (Physiology), FINE motor ability, NEUROMUSCULAR system physiology, ARTIFICIAL hands, NONNEGATIVE matrices, MULTIPLEXING, FOREARM
Abstract

Production of functional forces by human motor systems require coordination across multiple muscles. Grip and pinch are two prototypes for grasping force production. Each grasp plays a role in a range of hand functions and can provide an excellent paradigm for studying fine motor control. Despite previous investigations that have characterized muscle synergies during general force production, it is still unclear how intermuscular coordination differs between grip and pinch and across different force outputs. Traditional muscle synergy analyses, such as non-negative matrix factorization or principal component analysis, utilize dimensional reduction without consideration of nonlinear characteristics of muscle co-activations. In this study, we investigated the novel method of multiplex recurrence networks (MRN) to assess the inter-muscular coordination for both grip and pinch at different force levels. Unlike traditional methods, the MRN can leverage intrinsic similarities in muscle contraction dynamics and project its layers to the corresponding weighted network (WN) to better model muscle interactions. Twenty-four healthy volunteers were instructed to grip and pinch an apparatus with force production at 30%, 50%, and 70% of their respective maximal voluntary contraction (MVC). The surface electromyography (sEMG) signals were recorded from eight muscles, including intrinsic and extrinsic muscles spanning the hand and forearm. The sEMG signals were then analyzed using MRNs and WNs. Interlayer mutual information (${I}$) and average edge overlap ($\omega $) of MRNs and average shortest path length (${L}$) of WNs were computed and compared across groups for grasp types (grip vs. pinch) and force levels (30%, 50% and 70% MVC). Results showed that the extrinsic, rather than the intrinsic muscles, had significant differences in network parameters between both grasp types (${p} < 0.05$), and force levels (${p} < 0.05$), and especially at higher force levels. Furthermore, ${I}$ and $\omega $ were strengthened over time (${p} < 0.05$) except with pinch at 30% MVC. Results suggest that the central nervous system (CNS) actively increases cortical oscillations over time in response to increasing force levels and changes in force production with different sustained grasping types. Muscle coupling in extrinsic muscles was higher than in intrinsic muscles for both grip and pinch. The MRNs may be a valuable tool to provide greater insights into inter-muscular coordination patterns of clinical populations, assess neuromuscular function, or stabilize force control in prosthetic hands. [ABSTRACT FROM AUTHOR]

Published
2021
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21. Cooperative Game for the Roles Assignment of the Multi-agent Robot System

Author

Liu Ming-yong and Wei Na

Subjects
0209 industrial biotechnology, Robot kinematics, business.industry, Computer science, Mobile robot, 02 engineering and technology, Computer Science::Robotics, Competition (economics), 020901 industrial engineering & automation, Robotic systems, Transformation (function), 0202 electrical engineering, electronic engineering, information engineering, Task analysis, Robot, 020201 artificial intelligence & image processing, Artificial intelligence, business
Abstract

The cooperative problem of multi-agent robots is discussed in this paper. The methods of solving robot role assignments can be classified as static roles, dynamic roles and combination of static and dynamic roles. The combination of static and dynamic roles assignment is adapted in this paper. An optimal objective function model of the soccer robots competition is established to complete the role transformation of the robot. The coordinated problem of multi-agent robots is solved by cooperative game algorithm. The simulation results show that the proposed model is correct and effective.

Published
2018

22. Resistive Switching Behaviours and Novel Device Applications of Metal-Oxide-Si/Ge Structures

Author

Peng Huang, Yi Zhang, Yi Zhao, Bing Chen, and Wei Na

Subjects
Materials science, Silicon, business.industry, Oxide, chemistry.chemical_element, Germanium, Resistive random-access memory, Metal, chemistry.chemical_compound, chemistry, Resistive switching, visual_art, Hardware_INTEGRATEDCIRCUITS, visual_art.visual_art_medium, Optoelectronics, business, Tin, Layer (electronics)
Abstract

To achieve fab-friendly RRAM, metal-oxide-(Si, SiGe or Ge) structure is a promising device structure. In this paper, we discuss the challenges for developing high performance RRAM with this structure. Resistive-switching layer inserting and interface engineering are proposed for enhancing the device performance. And CMOS compatible Si and Ge-based bipolar RRAM (TiN/Al-doped-HfOx/Si and TiN/HfOx/GeOx/Ge) cells with ultra-low operations current, asymmetric I-V characteristics, good retention behaviors and AC switching properties are also demonstrated. Furthermore, the reported works show that TiN/HfOx/GeOx/Ge structured RRAM cell is very promising for future high performance content addressable memory (CAM) application.

Published
2018

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