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The two-group comparison remains to be one of the most basic tasks in statistical analysis. In comparing the distribution of ordinal responses between two groups, Mann-Whitney Wilcoxon test is often used for hypothesis testing, while the proportional odds model is employed for characterizing the between group difference. This synthetic approach raises an important question that whether the results...
On a crowdsourcing platform, in order to cheat for rewards or sabotage the crowdsourcing processes, spam workers submit numerous random and erroneous answers to the tasks published by honest requesters. This type of behaviours extremely reduces the enthusiasm of honest users, which may lead a crowdsourcing platform to a failure. To defend the threats from spam workers, reputation-based defense mechanisms...
Rail health monitoring plays an important role in the railway system, and how to accurately obtain the rail state is very significant for the railway safety. This paper proposes an improved method of rail health monitoring based on convolutional neural network (CNN) and probability analysis of multiple acoustic emission (AE) events. By tensile testing machine, AE signals with safe and unsafe states...
The importance of regression testing in assuring the integrity of a program after changes is well recognized. One major obstacle in practicing regression testing is in maintaining tests that become obsolete due to evolved program behavior or specification. For mobile apps, the problem of maintaining obsolete GUI test scripts for regression testing is even more pressing. Mobile apps rely heavily on...
Targeting the security vulnerabilities of unauthorized access caused by the failed link restriction and session authentication in Web application, a new method of generating Web link safety testing scenario based on UML diagram was proposed. Firstly, this method constructs the UML extended state diagram with the combination of the jump relationship of Web pages and user operation permission, Then...
This work develops a static analysis to create a model of the behavior of an Android application's GUI. We propose the window transition graph (WTG), a model representing the possible GUI window sequences and their associated events and callbacks. A key component and contribution of our work is the careful modeling of the stack of currently-active windows, the changes to this stack, and the effects...
Fashion recommendation helps shoppers to find desirable fashion items, which facilitates online interaction and product promotion. In this paper, we propose a method to recommend handbags to each shopper, based on the handbag images the shopper has clicked. This is performed by Joint learning of attribute Projection and One-class SVM classification (JPO) based on the images of the shopper's preferred...
In order to detect the health status of high-speed railway, this paper proposes a detection method based on non-negative matrix factorization (NMF) and relevance vector machine (RVM) by acoustic emission (AE) signals. AE signals are obtained by tensile testing machine and AE data acquisition system. According to the stress-time curve, AE signals with safe state and unsafe state are obtained. Based...
In order to detect the health status of high-speed railway, various studies have been examined by Acoustic Emission (AE) method. However, little work has been done on studying the relationship between rail status and features of AE signals, and this relationship can be used to establish a detection criterion for rail health monitoring. This paper presents a methodology on rail health monitoring by...
In this paper we develop a dynamic analysis, named relevant input analysis, that characterizes the role and strength of inputs in the computation of different values during a program execution. The role indicates whether a computed value is derived from an input value or its computation is simply influenced by an input value. The strength indicates if role (derived or influenced) relied upon the precise...
Human motion monitoring with body worn sensors is becoming increasingly important in health and wellness. However, achieving a robust recognition of physical activities or gestures despite variability in sensor placement is important for the real-world deployment of body sensor networks. A novel self-calibration process of sensor misplacement based on repetitive motion signatures is proposed. A rotation...
Adaptive diagnosis in the locally twisted cube is studied in this paper. Let denote the $n$-dimensional locally twisted cube. We prove that for any integer $n \geq 3$, can be adaptively diagnosed using at most 4 parallel testing rounds, with at most faulty nodes, where each node participates in at most one test in each round. The proof and algorithm of adaptive diagnosis in ...
The insulation of windings connected with converter valves have to withstand AC, DC and repetitive impulse combined voltages in converter transformers. This paper presented the failure evaluation model by experimental research on electrical breakdown characteristics of oil-paper insulation under AC, DC and AC-DC combined voltages. Both short-time tests and constant-stress tests were carried out when...
In rural areas of China, water quality problems emerge as people's life standards improve and they impose a negative effect on both people's physical and emotional health, especially problem in safe drinking water. Aiming at simple water supplying technologies, substandard water sources, immature management and poor guarantee problem, we selected membrane filtration as treatment technology for safe...
Through analysis the wireless network testing system of China Mobile Multimedia Broadcasting(CMMB) system and data mining association rules, design a method for analysis the CMMB wireless network. First, we can get a large number of data from wireless network testing system, and then, the data is discretized and import in database. Second, use the data mining association rules to obtain the key indicators...
When browsing news on the web, various emotions may be evoked in readers and furthermore cause different influence on their minds and life. We expect that emotional analysis and classification of text may provide good performance and significance to users surfing the Internet. Most previous research only focus on bi-emotion classification, that is, Positive and Negative, e.g., identifying whether...
Bivium is a reduced version of the stream cipher Trivium, using 177 stages and only 2 feedback registers. In this paper, we present a cube tester which combines the cube attack with efficient algebraic property-testers. By this method, Bivium was broken with complexity about 226 simulations.
This article is concerned with decentralized sequential testing of multiple hypotheses. In a sensor network system with limited local memory, raw observations are observed at the local sensors, and quantized into binary sensor messages that are sent to a fusion center, which makes a final decision. It is assumed that the raw sensor observations are distributed according to a set of M ≥ 2 specified...
Object/Relational Mapping (ORM), as an important approach to implement the data persistence layer provides various and flexible design models for constructing the efficient DBMS. Hibernate that based on ORM is well-suited to construct the data persistence layer of multilayer Web applications. Based on Hibernate, the paper presents a full solution of data persistence layer, including the creating,...
The MVC design pattern is very useful for architecting Web applications, which encourages developers to partition the applications as early as in the design phase. Nowadays, Struts Web applications based on MVC have become more and more popular in various fields, the unit testing and action-level security are the most important method for guaranteeing the applications quality.In this paper, we present...
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