Yuanyuan Xue^1,2, Qi Li¹, TongWu¹, LingFeng¹, Liang Zhao³, FengYu³

Computer Systems Science and Engineering, Vol.34, No.2, pp. 65-78, 2019, DOI:10.32604/csse.2019.34.065

Abstract Suicide has been a perplexing social problem around the world for a long time. Timely sensing hidden suicide risk and offering effective intervention are highly desirable and valuable for individuals and their families. Psychological studies prove that stress status, suicide-related expressions, and social engagement are reliable predictors of suicide risk. However, existing clinical diagnosis can only provide effective treatments to a restricted number of people because of its limited capacity. With the popular usage of social media like microblogs, a new channel to touch the inner world of many potential suicides arises. In this paper,… More >

Yani Hou, Wenzhong Zhu, Erli Wang

Intelligent Automation & Soft Computing, Vol.25, No.4, pp. 805-814, 2019, DOI:10.31209/2019.100000084

Abstract Hyperspectral remote sensing, with its narrow band imaging, provides the potential for fine identification of ground objects, and has unique advantages in mineral detection. However, the image is nonlinear and the pure pixel is scarce, so using standard spectrum detection will lead to an increase of the number of false alarm and missed detection. The density peak algorithm performs well in high-dimensional space and data clustering with irregular category shape. This paper used the density peak clustering to determine the cluster centers of various categories of images, and took it as the target spectrum, and More >

Tianjun Wu, Yuexiang Yang

Intelligent Automation & Soft Computing, Vol.25, No.4, pp. 755-766, 2019, DOI:10.31209/2019.100000079

Abstract While many research efforts have been around auditing individual android apps, the security issues related to the interaction among multiple apps are less studied. Due to the hidden nature of Inter-App communications, few existing security tools are able to detect such related vulnerable behaviors. This paper proposes to perform overall security auditing using dynamic analysis techniques. We focus on data leakage as it is one of the most common vulnerabilities for Android applications. We present an app auditing system AppWalker, which uses concolic execution on a set of apps. We use static Inter-App taint analysis… More >

Yue Li¹, Guangquan Xu^2,3, Hequn Xian^1,*, Longlong Rao³, Jiangang Shi^4,*

Intelligent Automation & Soft Computing, Vol.25, No.3, pp. 637-647, 2019, DOI:10.31209/2019.100000118

Abstract In order to prevent the spread of Android malware and protect privacy information from being compromised, this study proposes a novel multidimensional hybrid features extraction and analysis method for Android malware detection. This method is based primarily on a multidimensional hybrid features vector by extracting the information of permission requests, API calls, and runtime behaviors. The innovation of this study is to extract greater amounts of static and dynamic features information and combine them, that renders the features vector for training completer and more comprehensive. In addition, the feature selection algorithm is used to further More >

Zhang Min, Teng Haibin, Jiang Ming, Wen Tao, Tang Jingfan

Intelligent Automation & Soft Computing, Vol.25, No.3, pp. 625-635, 2019, DOI:10.31209/2019.100000117

Abstract Mapping from sentence phrases to knowledge graph resources is an important step for applications such as search engines, automatic question answering systems based on acknowledge base and knowledge graphs. The existing solution maps a simple phrase to a knowledge graph resource strictly or approximately from the text. However, it is difficult to detect phrases and map the composite semantic resource. This paper proposes a longest matching resource mapping scheme to solve this problem, namely, to find the longest substring in a sentence that can match the knowledge base resource. Based on this scheme, we propose More >

Wang Hui¹, Sun Guang-Yu^2,5, Zhang Qin-Yan², Liu Kai-Min³, Xi Meng³, Zhang Yuan-Yuan⁴

Intelligent Automation & Soft Computing, Vol.25, No.3, pp. 573-583, 2019, DOI:10.31209/2019.100000112

Abstract With the current explosion of mobile applications and smart devices, more organizations are beginning to expose Web APIs, which makes APIs more widely used. How can these APIs be managed and utilized safely and effectively for businesses? It is not easy to say. Today's Web services mainly include traditional structured WSDL and unstructured RESTful. A RESTful architecture can effectively constrain and help to achieve a simpler, lighter, and more scalable system. How to uniformly organize and merge RESTful APIs is also a problem to be solved. To solve the above problems, this article has designed More >

Yu Zhang^1,2, Yan-Ge Wang¹, Yan-Ping Bai³, Yong-Zhen Li^1,4, Zhao-Yong Lv⁵, Hong-Wei Ding⁶

Intelligent Automation & Soft Computing, Vol.25, No.3, pp. 561-572, 2019, DOI:10.31209/2019.100000111

Abstract Rockburst phenomenon is a kind of phenomenon that the rock is out and ejected because the mineral was dug out, and the original force balance was destroyed in the process of mineral exploitation. From 2007, GeoLab (abbreviation of State Key Laboratory in China for GeoMechanics and Deep Underground Engineering) had made a series of important achievements in rockburst. Up to now, GeoLab’s rockburst experiment data is reached 800T, and these data may occupy about 2PB hard disk space after analyzed. At this ratio, GeoLab need to buy a new hard disk to save all these… More >

S. Deivalakshmi^*, P. Palanisamy¹, X. Z. Gao²

Intelligent Automation & Soft Computing, Vol.25, No.3, pp. 459-471, 2019, DOI:10.31209/2018.100000001

Abstract The main aim of this paper is to propose a new technique for enhancing the contrast of dark images using Dynamic Stochastic Resonance (DSR) and Multi Wavelet Transform (MWT), which is computationally more efficient than the conventional methods. In the work, for enhancing the contrast of dark images, the intrinsic noise (darkness) of dark images has been used. The proposed MWT-based DSR scheme (MWT-DSR) can yield better performances in terms of visual information and color preservation than already reported techniques. The desired output response is validated by the Relative Contrast Enhancement Factor (F), Perceptual Quality More >

Nan Pan¹, Dilin Pan², Yi Liu²

Intelligent Automation & Soft Computing, Vol.25, No.2, pp. 413-419, 2019, DOI:10.31209/2019.100000103

Abstract In order to solve the cutting tools classification problem, a crime tool identification algorithm based on GVF-Harris-SIFT and KNN is put forward. The proposed algorithm uses a gradient vector to smooth the gradient field of the image, and then uses the Harris angle detection algorithm to detect the tool angle. After that, the descriptors of the eigenvectors in corresponding feature points were using SIFT to obtained. Finally, the KNN machine learning algorithms is employed to for classification and recognition. The experimental results of the comparison of the cutting tools show the accuracy and reliability of More >

Ching‐Han Chen^a, Ching‐Yi Chen^b, Nai‐Yuan Liu^a

Intelligent Automation & Soft Computing, Vol.25, No.2, pp. 375-384, 2019, DOI:10.31209/2019.100000099

Abstract This study introduces a dynamic gesture recognition system applicable in IPTV remote control. In this system, we developed a hardware accelerator for realtime moving object detection. It is able to detect the position of hand block in each frame at high speed. After acquiring the information of hand block, the system can capture the robust dynamic gesture feature with the moving trail of hand block in the continuous images, and input to FNN classifier for starting recognition process. The experimental results show that our method has a good recognition performance, and more applicable to real More >