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Teachers’ beliefs about students’ engagement in and knowledge of digital technologies will affect technologically integrated learning designs. Over the past few decades, teachers have tended to feel that students were confident and engaged users of digital technologies, but there is a growing body of research challenging this assumption. Given this disparity, it is necessary to examine students’ confidence...
Digital technology integration in schools and what this means for teaching and learning plays an significant role in shaping the education environment. There has been a growing body of literature addressing students' perceptions towards technology integration. A large amount of student and teacher self-reported questionnaire or survey data therefore has been collected for different modelling purposes...
In many countries including Australia, residential utility consumption, as a primary measurement of infrastructure service at local and state levels, is affected by many influential factors such as different varieties of utilities, local community profiles and regional climate conditions. Due to the fact that the information of a regional residential utility consumptions and their influential factors...
This paper introduces the requirements and methods of analyzing the data of mobile users, and analyses the application of large-scale parallel computing in analysis of the online behavior of mobile users and focuses on how to solve the technical problems of massive data analysis.
Software quality evaluation is complicated, and the major existing evaluation methods are too subjective in weight setting. In this paper, a synthesized evaluation method based on rough set theory is presented. This method converts the weight determination of fuzzy synthesized evaluation into the calculation of the importance of attributes in rough set theory. The weight is completely determined from...
We present a novel method for recognizing an object in an image using full pixel matching between a reference image and an input image without advance segmentation of the image. A method called two-dimensional continuous dynamic programming (2DCDP) is adopted to optimally calculate the accumulated local distances of all corresponding pixels in nonlinearly matched areas in an input image and a reference...
How to improve the performance of an existing biometric system is always interesting and meaningful. In this paper, we present a novel method of score level fusion using multiple enrolled impressions to achieve higher verification accuracy of existing fingerprint systems. The main idea of the method is to build a representation of the biometric reference as a polyhedron by taking into account the...
The present work consisted in the study of Titania/Zeolite catalyzed ozonation for nitrobenzene removal. Catalytic activity of the supported TiO2 is strongly influenced by the heat treatment temperature. Titania/Zeolite calcined at 600??C showed the best activity. An approximate increase of 21% in removal rate was achieved for catalytic ozonation compared with single ozonation. Kinetic study of dissolved...
Rapid tourism development in Jiuzhaigou National Park has challenged the notion of balance between tourist numbers and natural resource management. Jiuzhaigou National Park is one of the most popular natural tourist attractions in China. The current issues faced are threefold; how to manage the number of tourists accumulating in each of the scenic areas of the national park, how to expand the carrying...
Network value has attracted more and more attentions from scholars and enterprisers. Information through network can essentially impact everyone, while everyone in the network has the structure function to the network and may also influence others. But the contribution to the network is not the same for every one. Based on the complex network theory and customer activity, a customer network value...
The need for sensor interoperability has increased tremendously in many fingerprint large-scale application areas such as e-commerce, welfare-disbursement and e-education. However, the problem of feature selection for sensor interoperability has received limited attention in the literature. In this paper, the relationships among person, sensor and feature are discussed. Especially, a feature selection...
We present a new network anomaly detection system using dissimilarity-based one-class support vector machine( DSVMC). we transform the raw data into a dissimilarity space using Dissimilarity Representations (DR). DR describe objects by their dissimilarities to a set of target class. DSVMC are constructed on these DR. We propose a framework of anomaly detection using DSVMC. A new strategy of prototype...
Contextual advertising, a growing category of search advertising, refers to showing a list of ads in a Web page. In recent years, more and more researches have been carried on and various methods have been proposed. In this paper, the up-to-date methods for contextual advertising are studied. After giving a brief review of contextual advertising, three main approaches of current research, i.e. the...
Traditional chinese medicine (TCM) semantic grid is an application of semantic grid technique in TCM domain. It comprises TCM ontology and TCM databases as data resources and dart search, dart query etc. as TCM application. This paper reports an ontology engineering component of the TCM semantic grid. Although ontology engineering has gained significant progress, ontology construction still mainly...
In this paper we proposed a novel algorithm ant-based robot path planning (ARPP) based on ant colony system (ACS) to mimic a swarm of ants to find the globally optimal path for autonomous mobile robots. Visibility graph was used as both the roadmap and construction graph in ARPP. Although the near-optimums were readily available by ARPP, it is hard to find the optimality; therefore we proposed the...
We present a new framework of anomalous payload detection system. First of all, frequent sequential patterns (FSPs) are mined from raw traffic payloads. Setting different supports, we have several level of description of normal payload. We extract each FSP feature using n-gram technique. Thus we can have a deeper insight of data flow. By using advanced clustering method to fulfill the feature reduction,...
This note presents a filter design for a large class of multiple-input-multiple-output(MIMO) nonlinear uncertain stochastic systems with time-delay. A high-gain filer is proposed such that the dynamics of the estimation error is guaranteed to be stochastically exponentially ultimately bounded in the mean square (Yaz & Azemi, 1993; Zakai, 1967). For easiness of implementation and calibration, the...
A new high-rate dissolved air flotation (DAF) tank was developed and the efficiency was studied through pilot experiments. The turbidity of effluent water was improved 30% at hydraulic loading rate of 18 m/h when the perforated pipe was replaced by perforated plate for the collection of effluent water. A separation system made by a series of lamella plates was installed at the middle part of separation...
To take advantage of time-varying spectrum opportunities, a cognitiveradio (CR) network monitors the dynamic usage of the licensed band through cooperative spectrum sensing. In this paper, we propose a probability-based scheme for combination of spectrum sensing information collected from several CR users. Different from conventional cooperative spectrum sensing schemes that assume synchronous local...
Automatic target recognition (ATR) is an important task in image application. A classifier for the airplane recognition based on the merits of rough set theory (RST)and directed acyclic graph support vector machines (DAGSVM) is proposed in this paper. RST can mine useful information from a large number of data and generate decision rules without prior knowledge. DAGSVM have better classification performances...
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