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In previous studies, no consensus has been reached on the existence of significant correlation between perception and production. A large number of empirical studies have been done upon first and second languages from different language families. However, few studies were carried out on the perception-production relation of Chinese English learners. Therefore, in the current study, under the theoretical...
The article describes the factor model of Tomsk region schools functioning which was developed and investigated using the STATISTICA system. The constructed model describes an impact of different variables (context factors) on educational results of Tomsk school graduates. At the preliminary stage the most significant variables were determined, the exploratory data analysis was made using the method...
Context awareness is one of the major research areas of pervasive computing. Several proposals for the design of context aware applications rely on a closed feedback loop that performs four phases. Monitoring and collecting context (phase 1), analyzing the collected context to detect changes (phase 2), deciding adaptation actions related to the changes (phase 3) and performing and executing the corresponding...
Music auto-tagging has been an active research topic as it learns the relationship between the content of audio tracks and semantic tags such that users can query by both tags and audio segments without being troubled by the cold start problem. In this paper, we propose a new trigger-based context model to refine the existing content model based auto-tagging systems. The trigger based context model...
We represent a new framework - Knowledge creation grid for Big data era. Currently, there are various types of data in various fields. The essences of ICT are "scale merit," "scope merit," and "connection merit." The Big data itself represents "scale merit" and "scope merit," because there are massive of data and these data are utilized in various...
Within Software Product Lines (SPL) features are well understood and facilitate the communication among SPL developers and domain experts. However, the feature specification task is usually based on natural language, which can present lack of clarity, non-conformities and defects. In order to understand the feature non-conformity in SPL, this paper presents an empirical study to investigate the possible...
Selecting the most suitable Multiple Attribute Decision Making (MADM) method for a given MADM problem is a challenge for the decision maker. When there are several suitable MADM methods available for the problem, the challenge is even greater. We present a novel MADM method selection approach based on the Spearman's rank correlation. The approach will help the decision maker in selecting the most...
Evaluation of urban environment is one of the most important steps in the process of urban construction, and adopt historical and human factor to guarantee evaluation objective and effective. The paper introduced structural equation models in evaluation of urban environment, and calculated the coefficient scientifically, which ensured the protection objective.
This study analyzes the distinction, both conceptually and operationally, between behavioral intentions and behavioral goals. This paper recognizes the importance of time orientation in the measurement of behavioral intentions as defined by Fishbein and Ajzen. Literature is reviewed that shows this conceptual definition is often misused in information systems (IS) research because behavioral intention...
This paper studies the MINLIP estimator for the identification of Wiener systems consisting of a sequence of a linear FIR dynamical model, and a monotonically increasing static function. Given T observations, this algorithm boils down to solving a convex quadratic program with O(T) variables and inequality constraints, implementing an inference technique which is based entirely on model complexity...
Phonetic contrasts (PC) are the basis of human speech communication. Different PCs have different levels of importance, which can be evaluated by the measurement of Functional Load (FL). It has also been understood that human speech perception is dependent not only on PCs but also on high-level context such as word, word sequence, grammar and etc. Thus it is desirable to take into account those context...
Since people are increasingly using online tools to share ideas and contact others, the importance of virtual communities is growing day by day. However, in the quest for exploring the relationship between psychological sense, trust, and knowledge sharing in virtual communities, there have been still very few studies. This study has revealed how knowledge sharing is fostered through trust in order...
This study examines five ascendants (such as reputation, interaction, disposition to trust, uncertainty avoidance and subjective norm) of perceived risk and trust on initiator, explores the influence of perceived risk upon trust on initiator, and tests the impacts of trust on initiator and perceived risk upon intention of attending online group buying. The empirical result indicates that there are...
Based on literature review, this study proposed three hypotheses about learning culture and individual innovative behavior. The model was validated in structural equation modeling by investigating 391 employees from 46 organizations. The results indicate that individual learning has positive effects on innovative idea generation, organizational learning has positive effects on both innovative idea...
The study was to investigate the generalizability of perceived organizational support and job satisfaction as positive correlations of employee performance in China. In a study conducted, 130 matched cases of 130 employees and their 34 immediate supervisors from two large-scale state-owned enterprises were selected as participants. Standardized psychological scales measuring POS, job satisfaction,...
Mining actor correlations from TV series enables semantic level video understanding and facilitates users to conduct correlation-based query. In this paper, we introduce a graph-based actor correlations mining framework, which serves as the first attempt for effective actor association presentation and concurrence search. We leverage face detection and tracking to locate actors with 2D-PCA detector...
In 2008, 90 million citizens in the United States used electronic tax filing to submit their federal tax returns. Yet these adopters represent only a subset of the population. Citizen concerns regarding the security of this electronic option still serve as a barrier to e-file adoption. In this study, we propose a model of e-file adoption that integrates technology acceptance, optimism bias, reputation...
This paper addresses why users accept the e-commerce website and how user's two important beliefs PU and PEOU are affected by the Website quality. In this study, we also introduce perceived playfulness as a new factor that reflects the user's intrinsic belief in user acceptance of e-commerce Website. A survey of 356 users was conducted to test our model. Information quality of e-commerce website is...
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