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The overall performance of the affine projection algorithm (APA) is highly influenced by two important parameters, i.e., the step-size and regularization terms. In this paper, we follow a joint-optimization problem on both these parameters, in the context of a state variable model, which fits very well for acoustic echo cancellation (AEC). Thus, the proposed optimized APA achieves a proper compromise...
This study compared the perceptions of Chinese sentences conveying the attitudinal contrast of praising and blaming by five groups of subjects (Chinese natives, Japanese L2 learners of Mandarin, French L2 learners of Mandarin, Japanese and French subjects without any Mandarin ability). Context-elicited target sentences conveying praising, blaming or neutral attitude were used as stimuli in the listening...
This work presents an approach to minimize the problem of information overload in the context of the Command and Control. It proposes a strategy to correlate data from heterogeneous sources, considering a set of attributes that make possible to connect these data. Their correct correlation allows to achieve situational awareness and provide secure subsidies for decision making. For reach this goal,...
Online learning platforms can provide automatic instant feedback on students' activities with formative assessment tasks such as homework assignments. However, the various ways that students interact with feedback features add to the uncertainty of the effectiveness of automatic immediate feedback on student learning. We study student behavioral patterns with an instant feedback feature: “checkable...
This paper presents the design and evaluation of a large scale template-based Coarse-Grained Reconfigurable Array (CGRA) generated accelerator that processes correlation algorithm for Timing Synchronization (TS) required in Orthogonal Frequency-Division Multiplexing (OFDM) receivers. The CGRA works as a coprocessor with a Reduced Instruction-Set Computing (RISC) processor. The CGRA accelerator is...
For better understanding of the identification difficulties in Japanese geminate/singleton consonants for second language (L2) learners, a perceptual factor is newly introduced to supply the insufficiencies of conventional explanations solely using acoustic duration differences. To systematically explain speech-rate related serious errors of geminate/singleton identification in fast/slow speech, loudness...
Collaborative filtering can predict an active user's interests for unrated items based on his observed ratings, and the issue of concept drift exists in most of recommender systems. Aiming at the issue of concept drift, a time-enhanced collaborative filtering approach is proposed in this work, in which a time weight is introduced into the framework of collaborative filtering. As the experimental results...
In most model-free tracking algorithms, context of the target is usually taken as source of negative examples for training the appearance model and thus not fully utilized. In fact, the target is embedded in its context, and there are spatial constraints between them with the potential motion correlations and relative locations. This paper presents a part-based model to describe the spatial constraints...
In this work we develop a study about the high-frequency financial forecasting problem. It presents some evidences suggesting that the generator phenomenon of this kind of time series cannot be a random walk process. In this context, we present an empirical analysis to investigate the forecasting performance of multilayer perceptron (MLP) model for three problems of high-frequency financial time series...
Although visual tracking is a well-established problem in computer vision, it still remains a challenging task due to many disturbed factors such as appearance changes, illumination changes, partial or full occlusions, rotation, etc. Recently, spatio-temporal context (STC) learning algorithm has been proposed, which exploits the spatio-temporal relationships between the object of interest and its...
This paper presents the implementation of Orthogonal Frequency-Division Multiplexing receiver blocks as accelerators using a template-based Coarse-Grained Reconfigurable Array (CGRA) device. The CGRA operates with a Reduced Instruction-Set Computing (RISC) processor so that the overall system yields the benefits of general- and special-purpose processing. The accelerators are designed by crafting...
The collective communication operations, which are widely used in parallel applications for global communication and synchronization are critical for application's performance and scalability. However, how faulty collective communications impact the application and how errors propagate between the application processes is largely unexplored. One of the critical reasons for this situation is the lack...
This research employs an expressive robot to elicit affective response in young children and explore correlations between autonomously-detected play, affective response and developmental ability. In this study, we introduce a new, affective interface that combines sound, color, movement and context to simulate the expression of emotions. Our approach exploits social contingencies to emphasize the...
Due to changes in the development practices at Axis Communications, towards continuous integration, faster regression testing feedback is needed. The current automated regression test suite takes approximately seven hours to run which prevents developers from integrating code changes several times a day as preferred. Therefore we want to implement a highly selective yet accurate regression testing...
Anycast is an internet addressing protocol where multiple hosts share the same IP-address. A popular architecture for modern Content Distribution Networks (CDNs) for geo-replicated HTTP-services consists of multiple layers of proxy nodes for service and co-located DNS-servers for load-balancing on different proxies. Both the proxies and the DNS-servers use anycast addressing, which offers simplicity...
In this paper, we represent the context based weighting scheme for vector space model to evaluate the relation between concept and context in Information storage and retrieval system. A meaning of a word is relatively decided by a context dynamically. A vector space model, generally use a static weighting scheme for term document matrix like latent semantic indexing (LSI), co-occurrence or correlations...
This study examined the antecedents and consequences of intensity of SNS use in a cross-cultural context. A survey of 977 SNS users was performed in Korea and USA, and the causal relationship was tested using structural equation modelling. Consumer innovativeness, propensity to share information, and privacy concern affected intensity of SNS use and the usage of SNS enabled social capital. In addition,...
In recent years the technological world has grown by incorporating billions of small sensing devices, collecting and sharing real-world information. As the number of such devices grows, it becomes increasingly difficult to manage all these new information sources. There is no uniform way to share, process and understand context information. In previous publications we discussed efficient ways to organize...
Soft computing and computing with words (CWW) operate with uncertain natural language (NL) statements to make NL statements more exact. Currently these NL statements in CWW are limited by quantitative concepts. This paper expands CWW beyond quantitative words to texts that contain incongruities. Incongruities are common in jokes, ironies and contradictory texts. A dynamic model, an algorithm, and...
Based on the Jiangsu, Zhejiang and other area 350 state ownership enterprise employees' questionnaire survey, this paper introduced horizontal collectivism variables, using hierarchical regression method to explore the moderating effect of horizontal collectivism between job satisfaction and the union commitment. Specifically, in this paper, on the one hand, tested the relationship between job satisfaction...
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