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Web service based business process has become the backbone of enterprise information system, and it is evolving all the time. Therefore, the process has to be tested thoroughly and repeatedly whenever it is changed. This paper proposes a model driven approach toward generating executable test case from the given business process. The approach is composite(More)
Fusing the advantages of multiple acoustic features is important for the robustness of voice activity detection (VAD). Recently, the machine-learning-based VADs have shown a superiority to traditional VADs on multiple feature fusion tasks. However, existing machine-learning-based VADs only utilize shallow models, which cannot explore the underlying manifold(More)
Recently, the deep-belief-networks (DBN) based voice activity detection (VAD) has been proposed. It is powerful in fusing the advantages of multiple features, and achieves the state-of-the-art performance. However, the deep layers of the DBN-based VAD do not show an apparent superiority to the shallower layers. In this paper, we propose a(More)
To reduce the cost and risk of the development of system of systems (SoS) by pre-evaluation before the SoS is built, a model-driven approach is proposed to evaluate the SoS based on its architecture, especially focused on measures of performance and effectiveness. In order to implement the pre-evaluation, the system architecture needs to be transformed to(More)
In this article, we present a new voice activity detection (VAD) algorithm that is based on statistical models and empirical rule-based energy detection algorithm. Specifically, it needs two steps to separate speech segments from background noise. For the first step, the VAD detects possible speech endpoints efficiently using the empirical rule-based energy(More)
Fuzzing is an effective approach to detect vulnerabilities. Unfortunately, the existing fuzzing approach suffers from some limitations, especially lacking support for automation in extracting the SUT specific knowledge and generating test script. In this paper, by combining fuzzing with TTCN-3 technique, we present T3FAH: a TTCN-3 based Fuzzer with Attack(More)
This article describes the final solution 1 of team monkeytyping, who finished in second place in the YouTube-8M video understanding challenge. The dataset used in this challenge is a large-scale benchmark for multi-label video classification. We extend the work in [1] and propose several improvements for frame sequence modeling. We propose a network(More)
In a distributed processing environment, the static placement of query operators may result in unsatisfactory system performance due to unpredictable factors such as changes of servers' load, data arrival rates, etc. The problem is exacerbated for continuous (and long running) monitoring queries over data streams as any suboptimal placement will affect the(More)
Cisplatin (CP) is a major antineoplastic drug for the treatment of solid tumors, but it has dose-dependent renal tubular toxicity. Previous studies have shown that induction of cytochrome P450 (CYP) by CP may play a role in the renal injury of CP. The aim of this study was to investigate the relationship between CP-induced toxicity and CYP4A11 expression in(More)