We consider a non-intrusive computer-vision method for measuring the motion of a person performing natural signing in video recordings. The quality and usefulness of the method is compared to a traditional marker-based motion capture set-up. The accuracy of descriptors extracted from video footage is assessed qualitatively in the context of sign language analysis by examining if the shape of th...

Abstract Evapotranspiration (ET) is an important process in the hydrological cycle and needs to be accurately quantified for proper irrigation scheduling and optimal water resources systems operation. The time variant characteristics of ET necessitate the need for forecasting ET. In this paper, two techniques, namely a seasonal ARIMA model and Winter's exponential smoothing model, have been inv...

It has been well documented that aging is associated with declines in a variety of cognitive functions. A growing body of research shows that the age-related cognitive declines are reversible through cognitive training programs, suggesting maintained cognitive plasticity of the aging brain. Retest learning represents a basic form of cognitive plasticity. It has been consistently demonstrated fo...

Skills mismatch in the labour market describes the fact that levels or types of skills of individuals are inadequate in view of particular job requirements. There exists no accepted unified theory of skills mismatch. The overeducation literature, inspired by several classical theoretical frameworks (human capital theory, job competition, and assignment models), attempts to define and measure th...

Exploring topological structure at Autonomous System (AS) level is indispensable for understanding most issues in Internet services. Previous models of AS graph involve address or connectivity information separately, and neither of these information can serve as a comprehensive metric for evaluating an AS’s contribution to the global routing. In this paper, we propose a new model for AS ranking...

We investigated features reflecting utterance structure and disfluency profile to improve the automated scoring of spontaneous speech responses by non-native speakers of English. Features derived from structural events (SEs), e.g., clause structure and disfluencies, showed promisingly high correlations to the human proficiency scores. However, previous studies were based on speech transcription...

This paper presents an improved feature extraction technique for the cursive characters recognition. This technique can be applied in the perspective of handwritten word recognition system based on segmentation. The bases of fused statistical features extraction technique are improved projection profile and transition features. To extend this principal, a technique is integrated with the projec...

Smartphones are being used to keep sensitive data and make private transaction other than making calls and receive short messages. Thus, authentication of the smartphones becomes very crucial and important aspect. However, users feel inconvenience and difficult with current authentication methods, from password up to physical biometrics. Implicit authentication system emerged intending to impro...

Business processes have been widely becoming crucial assets of organisations across various industries and domains. The flexibility in dealing with changes when business processes are executed has significant impact on the success of an organisation's business operations, especially in the current ever-changing business environment. In this context, agent-based systems offer a promisingly power...

Graphene-based composites have gained great attention in the field of gas sensor fabrication due to their higher surface area with additional functional groups. Decorating one-dimensional (1D) semiconductor nanomaterials on graphene also show potential benefits in gas sensing applications. Here we demonstrate the one-pot and low cost synthesis of W18O49 NWs/rGO composites with different amount ...