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This paper studies the analysis and implementation of intelligent information processing and fault diagnosis technology for distribution automation system. In the fault diagnosis is mainly considering the influence of uncertain information and coupling information, processing technology and multi-source information fusion of multi-source information mining depth based on data driven, and switch level,...
In general, dynamic systems are systems with time-dependent behavior. Dynamic systems are characterized by the non-stationary data sequences they emit. One particular way to model these non-stationary sequences is to consider them as a sequence of stationary segments, regimes, where each regime is separated by regime switching points from both the preceding and subsequent regimes. In system identification...
Nowadays, many organizations collect large volumes of event log data on a daily basis, and the analysis of collected data is a challenging task. For this purpose, data mining methods have been suggested in past research papers, and several data clustering algorithms have been developed formining line patterns from event logs. In this paper, we introduce an open-source tool called LogClusterC which...
During the past years, overload at work leading to psychological diseases, such as burnouts, have drawn more public attention. This paper is a preliminary step toward an analysis of the work patterns and possible indicators of overload and time pressure on software developers with mining software repositories approach. We explore the working pattern of developers in the context of Mozilla Firefox,...
Information constructions at colleges have transferred from digitalized campus to intelligence campus. Data switching center makes converting, cleansing, monitoring, comparison and other process to data of each business system, which provides an important support to intelligence campus.
We propose to use a feature representation obtained by pairwise learning in a low-resource language for query-by-example spoken term detection (QbE-STD). We assume that word pairs identified by humans are available in the low-resource target language. The word pairs are parameterized by a multi-lingual bottleneck feature (BNF) extractor that is trained using transcribed data in high-resource languages...
There is a worldwide trend towards the integration of renewable energy in the form of distributed generation, leading to the formation of microgrids. Connection of these sources introduces new issues in the operation and management of distribution systems. An important issue is that of islanding, where the microgrid remains energized locally while isolated from the main grid. It is important to detect...
In this paper, we propose a novel switch scheme and a saliency map binarization method for salient object segmentation. With the proposed switch scheme, the saliency map can be segmented by different methods according to its quality, which is evaluated by a method proposed in this paper. We also develop a binarization method by integrating three properties of the salient object. This method exclusively...
Since its introduction 10 years ago, GIT has taken the world of version control systems (VCS) by storm. Its success is partly due to creating opportunities for new usage patterns that empower developers to work more efficiently. However, the resulting change in both user behavior and the way GIT stores changes impacts data mining and data analytics procedures [6], [13]. While some of these unique...
Utilizing flexibility of the transmission network has gained significant attention recently. Prior efforts have shown that various benefits could be achieved by appropriately changing the network topology. This paper focuses on the reliability gains that can be achieved through corrective transmission switching (CTS). A full AC contingency analysis is conducted to identify critical contingencies that...
Address space randomization is an attractive way to counter against code-reuse attack. However, traditional Address Space Layout Randomization (ASLR) just randomizes the base address of a binary, whose relative address is not changed. So attackers can still use the fixed relative address to construct gadgets needed by code-reuse attack through information leakage. Although many fine-grained randomization...
Based on the dynamic time warping (DTW) matching method, a novel appliance identification algorithm for low frequency sampling load data is proposed. First, residential load sequences are segmented into subsequences composed of single appliance load profiles and multi-appliance load profiles. Then, reference load sequences of all candidate appliances, which have identical lengths, are generated before...
Users context is exploited by an increased number of applications, especially mobile ones, in order to provide their clients with context-oriented services. With our work we try to extend the usage context to laptop and desktop applications and environments. This paper aims analyzing user behavior on three different habitats: at work, at school and at home. The main purpose of this paper is to find...
Aspect-based opinion mining is to find elaborate opinions towards an underlying theme, perspective or viewpoint as to a subject such as a product or an event. Nowadays, with rapid growing of opinionated text on theWeb, mining aspect-level opinions has become a promising means for online public opinion analysis. In particular, the booming of various types of online media provide diverse yet complementary...
This paper reflects of experimental efforts in system structure design with brief review and considerations various system characteristics. The study reports our progress of how to migrate a system with either OLTP or OLAP and their simply combination, through HPC-oriented data processing system to HPC-enhanced, cloud-configured system for big data processing and data mining. The system is also equipped...
Android applications are user interaction intensive programs, that makes UI become an indispensable part of mobile applications. UI also reflects information, such as the functions of applications, that makes the study of Android UI very significant. We design a UI modeling method based on attribute graph by the technology of reverse engineering and program analysis for applications on Android. The...
Many embedded applications such as multimedia, signal processing and wireless communications present a streaming processing behavior. In order to take full advantage of modern multi-and many-core embedded platforms, these applications have to be parallelized by describing them in a given parallel Model of Computation (MoC). One of the most prominent MoCs is Kahn Process Network (KPN) as it allows...
Corrective transmission switching can improve the flexibility of power system. To avoid the computational complexity, a data mining approach for real-time corrective switching is proposed in this paper. A factorized expression that measures the approximate switching effects is first derived. The expression can be utilized to generate candidate transmission switching lists. Based on the factorized...
Developers often inspect a diff patch during peer code reviews. Diff patches show low-level program differences per file without summarizing systematic changes -- similar, related changes to multiple contexts. We present Critics, an interactive approach for inspecting systematic changes. When a developer specifies code change within a diff patch, Critics allows developers to customize the change template...
Smart and energy efficient (office) buildings do not only have to implement smart sensors and actuators, they should also be able to be optimized to be as energy efficient as possible based on the behavior of the user. This paper focuses on knowledge extraction of a smart building and automatic rule creation based on that knowledge. We are using different methods to analyze this data, create the appropriate...
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