INTRODUCTION: Combination of measurement and mathematical modeling has provided a powerful tool for investigating the complicated behavior of human joints [2, 6]. In the previous studies the ankle joint complex was usually modeled as ideal hinge joints with fixed rotation axes or spherical joints [3, 7]. These models ignored some important kinematic features of the joints. In this study, a thre...

Joint software reviews, involving the developer and the acquirer, play an important role in Defence's acquisition of software-intensive systems. However, academic and commerical work on software reviews has focused on intra-organisational peer reviews and software inspections. This report argues that the principles which have been derived for inspections cannot be blindly applied to joint softw...

Previous work has shown that joint modeling of two Natural Language Processing (NLP) tasks are effective for achieving better performances for both tasks. Lots of task-specific joint models are proposed. This paper proposes a Hierarchical Long Short-Term Memory (HLSTM) model and some its variants for modeling two tasks jointly. The models are flexible for modeling different types of combination...

This dissertation aims at combining the benefits and to remedy the flaws of the two popular frameworks in statistical machine translation, namely Phrasebased MT and N-gram-based MT. Phrase-based MT advanced the state-of-the art towards translating phrases3 than words. By memorizing phrases, phrasal MT, is able to learn local reorderings, and handling of other local dependencies such as insertio...

Impedance control has been suggested as the strategy employed by the central nervous system to control human postures and movements. A realization of this strategy is presented that uses a model predictive control algorithm as a higher motor controller. External disturbances are explicitly included in the model. The combination of 3 key factors-joint impedance control, model predictive controll...

Estimating the parameters of a regression model of interest is complicated by missing data on the variables in that model. Multiple imputation is commonly used to handle these missing data. Joint model multiple imputation and full-conditional specification multiple imputation are known to yield imputed data with the same asymptotic distribution when the conditional models of full-conditional sp...

abstract introduction: in this study the role of pge2 as an important inflammatory mediator in indomethacine and theophylline effects on joint diameter and vascular response of chronically inflamed rat knee joint to saphenous nerve stimulation was investigated. methods: inflammation was induced by intraarticular injection of 0.2 ml freund,s complete adjuvant (fca) and 3, 7, 14, 21 days post inj...

Image fusion combines multiple images of the same scene into a single image which is suitable for human perception and practical applications. Different images of the same scene can be viewed as an ensemble of intercorrelated images. This paper proposes a novel mul-timodal image fusion scheme based on the joint sparsity model which is derived from the distributed compressed sensing. First, the ...

Over the past ten years, the U.S. military has developed an array of Joint and multi-Service federations to meet specific purposes under slightly different conditions. Each development team independently established a Federation Object Model (FOM) aligned to the specific focus of their federation. The issue under study will identify options and explore the feasibility of reconciling these separ...

Texture images are a special class of images that are spatially homogeneous and consist of repeated elements, often subject some randomization in their location, size, color, orientation, etc. Textures can be classified into different classes or groups based on their structure and origin. Figure 1 gives some example textures. Textures are widely used in varied fields ranging from bio medical im...