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As advances in scientific and business data collection have exponentially created more data, electric utility companies are seeking new tools and techniques to turn the collected data into operational insights and assist with cost-saving decisions. The cost of building a specific business-driven big data application, however, can be tremendously high. This paper proposes developing a standard-based...
Finding linear correlations in dataset is an important data mining task, which can be widely applied in the real world. Existing correlation clustering methods may miss some correlations when instances are sparsely distributed. Other recent studies are limited to find the primary linear correlation of the dataset. This paper develops a novel approach to seek multiple local linear correlations in dataset...
Huge time-series stream data are collected every day from many areas, and their trends may be impacted by outside events, hence biased from its normal behavior. This phenomenon is referred as intervention. Intervention rule mining is a new research direction in data mining with great challenges. To solve these challenges, this study makes the following contributions: (a) Proposes a framework to detect...
Web sequential pattern mining is an important way to learn the access behavior of Web users. In this paper, we present an efficient method of Web sequential pattern mining in the e-learning environment. Different from traditional mining methods, we categorize the user sessions into human user sessions, crawler sessions and resource-download user sessions. Then we filter out the non-human user sessions,...
Two kinds of physical methods, vacuum evaporation and steam stripping, combined with overliming (calcium hydroxide) were applied to remove inhibitors which were produced simultaneously during the pretreatment of lignocellulosic biomass. Corn stover was steam exploded; the filtrate was hydrolyzed with dilute sulfuric acid. The acid hydrolyzate was then detoxified and fermented by yeast. Physical methods...
In this study, we first give a problem formulation for Chinese terms semantic similarity calculation. After that, on closer examination, we find that the traditional approach makes an implicit assumption that the order of corresponding primitive terms for two terms is roughly consistent. In other words, it doesn't consider how the difference in the order affects the quality of correspondence. To overcome...
In this study, time and space efficiency of the double-array structure for large English & Chinese lexicons are comprehensively analyzed. Some important observations include: (1) both time and space efficiency are dependent of the different order of inserting the keys for Chinese lexicons, but neither for English ones; (2) on the condition that the order of inserting the keys is by characters’...
Boolean expressions can be used in programs and specifications to describe the complex logic decisions in mission-critical, safety-critical and Web services applications. We define a topological model (T-model) to represent Boolean expressions and characterize the test data. This paper provides proofs of relevant T-model properties, employs the combinatorial design approach, and proposes a family...
Several test strategies have emerged to detect faults associated Boolean expressions. Current approaches lack a proper model to give an overall picture of the Boolean expressions and comprehensive exploration of test data space. This paper proposes a topological model (T-model) to systematically represent Boolean expressions and test data space, and theoretically analyzes the capability and limitations...
The paper proposes a new test model, Call-For-Testing (CFT), and applies it to User Acceptance Testing (UAT) of Web Applications. Different from traditional approaches, UAT in the context of CFT only means beta-testing on the site or field, i.e., by customers or end-users, and does not include alpha-testing which is supervised or performed by the system provider. CFT model leverages open community...
This paper proposes a method for Web services test case generation, which is centered on a practical test data generation framework that has higher probability to penetrate the service implementation logic. This presented framework leverages both the information contained in the WSDL/XSD files and the information provided by testers as well as enables testers to customize the fields to be tested,...
A role based hierarchical group awareness model (RHGAM) on the basis of the previous research was presented in this paper. Regarding role as the basis of the group cooperation, firstly RHGAM constructed a group cooperation environment (GCE), and then GCE was extended by group awareness content, awareness hierarchy, the task decomposition rule. The model divided the awareness information into four...
Role is an important concept in collaboration systems and CSCW systems especially in the aspect of group awareness. This paper proposes a new group awareness model based on role by the research of role in collaboration systems and the analysis of existing awareness models. In the new proposed model, the task is decomposed into activities in order to acquire the activity graph. Then the roles are extracted...
According to the high-dimensional sparse features of the storage of the textual document, and defects existing in the clustering methods which have already studied by now and some other problems, an effective text clustering approach (short for TGSOM-FS-FKM) based on tree-structured growing self-organizing maps (TGSOM) and fuzzy k-means (FKM) is proposed. It firstly makes preprocess of texts, and...
The current active information service system focuses too much on the study of personalized modeling, and there is less research on artificial participation, automatic information analysis and automatic information update. According to the requirement of active information service to topical Web, the article integrate agent technology, information filtering technology, crawling technology on Heritrix...
We investigate the problem of multicast requests in survivable networks against any single-link failure and propose a novel scheme called segment protection with segment route (SPSR). Simulation results show that with the consideration of load balance SPSR exhibits better blocking probability and resource utilization performance relative to other schemes.
Spatial datum acquisition is one of fundamental components and main datum source of most GIS application systems. As a result, providing a universal framework for datum acquisition to satisfy the needs of those professional GIS applications is significant in GIS applications. The framework presented in this paper changes the traditional ways of datum acquisition, thus improving the efficiency greatly...
The response principle of piezoelectric ceramic fibers with metal core (MPF) to Lamb waves is studied, and the factors which influence the response are analyzed, also verification experiments are carried out. First, the strain response principle of piezoelectric ceramic fibers with metal core to Lamb waves is studied, and the voltage formula of the response of fibers with metal core to Lamb waves...
Lead-free piezoelectric (K0.44Na0.52Li0.04)(Nb0.9-xTa0.1Sbx)O3 ceramics were prepared by traditional electrical ceramic technique. The effects of different Sb doping on the microstructure, phase, dielectric and piezoelectric properties were studied. The results indicate that the multielement niobate ceramics with higher piezoelectric properties can be fabricated from different Sb doping of Sb3+ or...
Piezoelectric materials are the main functional materials for sensors and actuators in smart structures. In this paper, two new types of piezoelectric devices, functionally graded (FG) piezoelectric bending actuators and piezoelectric fibers with metal core, and their applications in smart structures are introduced. A new process to fabricate piezoelectric ceramic fibers of 150 mum to 250 mum in diameter...
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