Earticle

A viable design of an arm prosthesis system is presented. The design has addressed some existing challenges by adopting a fresh approach. The design is demonstrated by a simulation model. Dielectric Elastomers (DEs) are implemented into the model. That leads to higher reliability and user-friendliness, because the system contains fewer components. In addition, DEs have the desirable feature of being able to act similar to human muscles, and that makes their integration into human body easier than other technologies. An existing mathematical model of DE material is used to represent the bicep muscle. A set of operational parameters is selected in order to specify the design details. These details include geometric dimensions, forces, power, and control. The proposed design is promising with a displacement of 5 cm and a resisting force of 34 N in response to an applied voltage of only 23 kV.

Influence of dielectric materials as gate oxide on various short channel device parameters using a 2-D device simulator has been studied in this paper. It is found that the use of high-k dielectrics directly on the silicon wafer would degrade the performance. This degradation is mainly due to the fringing field effect developed from gate to source/drain. This fringing field will further generate electric field into the channel region from source/drain region which weakens the gate control. Therefore, by taking the gate stack engineering into account it has been shown that the induced electric field along the channel can be minimized as well as the device performance can be enhanced. This paper examined various parameters of the device like potential distribution from source and drain, threshold voltage (Vth), drain induced barrier lowering (DIBL), subthreshold slope (SS), on-current (Ion), off-current (Ioff) and Transconductance (gm) by taking different dielectric materials [SiO2(ε=3.9), Si3N4 (ε=7.5), HfO2 (ε=24) and Ta2O5 (ε=50) ] as gate oxide (s).

In order to minimize traffic disturbance during the construction of flyover, the 450 tones pier head is turned 90 degrees. A device is used in Metro Manila Skyway Project in the Philippines. The Sosrobahu device is a hydraulic non friction rotating device; it is a flat jack with a diameter of 80 cm and place in the center of pier. The pier head is then cast over the pier parallel to road axis, oil is injected into the device until the force produced but the oil pressure nearly equals the weight of the pier head, then the pier head is turned 90 degrees. Oil pressure is then released and the gap injected with non-shrink grout. Four post-tensioned U cables of total ultimate capacity of 600 tones are then turned through the pier head and pier, post-tensioned and grouted.

Software is a complex entity composed in various modules with varied range of defect occurrence possibility. Efficient and timely prediction of defect occurrence in software allows software project managers to effectively utilize people, cost, time for better quality assurance. The presence of defects in a software leads to a poor quality software and also responsible for the failure of a software project. Sometime it is not possible to identify the defects and fixing them at the time of development and it is required to handle such defects any time whenever they are noticed by the team members. So it is important to predict defect-prone software modules prior to deployment of software project in order to plan better maintenance strategy. Early knowledge of defect prone software module can also help to make efficient process improvement plan within justified period of time and cost. This can further lead to better software release as well as high customer satisfaction subsequently. Accurate measurement and prediction of defect is a crucial issue in any software because it is an indirect measurement and is based on several metrics. Therefore, instead of considering all the metrics, it would be more appropriate to find out a suitable set of metrics which are relevant and significant for prediction of defects in any software modules. This paper proposes a feature selection based Linear Twin Support Vector Machine (LSTSVM) model to predict defect prone software modules. F-score, a feature selection technique, is used to determine the significant metrics set which are prominently affecting the defect prediction in a software modules. The efficiency of predictive model could be enhanced with reduced metrics set obtained after feature selection and further used to identify defective modules in a given set of inputs. This paper evaluates the performance of proposed model and compares it against other existing machine learning models. The experiment has been performed on four PROMISE software engineering repository datasets. The experimental results indicate the effectiveness of the proposed feature selection based LSTSVM predictive model on the basis standard performance evaluation parameters.

Porous ceramic materials have found widespread technological and industrial applications from filtration, absorption, catalysts and catalyst supports to lightweight structural components. In the present work, processing is based on the generation of foam from an aqueous suspension of ceramic powder and the subsequent stabilization of the structure by in-situ polymerization of organic monomers. The process offers a number of advantages from other processes. It is shown here, the in-situ polymerization of organic monomers led to a fast solidification and strong, porous bodies. SEM results showed, that the ceramic foams had highly interconnected network of spherical cells with low densities. The cell size distribution was dependent on the density of the samples as well as the polymerization onset time. Good correlations were found between the green microstructure, rheology of the suspensions and the particle interaction forces.

Nakagami distribution is a flexible lifetime distribution that may offer a good fit to some failure data sets. It has applications in attenuation of wireless signals traversing multiple paths, deriving unit hydrographs in hydrology, medical imaging studies etc. In this research, we obtain Bayesian estimators of the scale parameter of Nakagami distribution. For the posterior distribution of this parameter, we consider Uniform, Inverse Exponential and Levy priors. The three loss functions taken up are Squared Error Loss Function (SELF), Quadratic Loss Function (QLF) and Precautionary Loss Function (PLF). The performance of an estimator is assessed on the basis of its relative posterior risk. Monte Carlo Simulations are used to compare the performance of the estimators. It is discovered that the PLF produces the least posterior risk when uniform priors is used. SELF is the best when inverse exponential and Levy Priors are used.

An adaptive neural network backstepping control for a class of uncertain nonlinear systems is presented in this paper. Three main issues will be treated: (1) unknown nonlinearities; (2) unknown system parameters; (3) external or internal disturbances. The proposed technique is applied to a simple pendulum. This latter is an unstable system which is perfectly described by a nonlinear model obtained by applying physics laws. A solution has to be found to stabilize pendulum in a desired position. A specific type of artificial neural networks (ANN) called "Multilayer Perceptron (MLP)" is used and simulation results clearly demonstrate the power of this extension.

This paper presents a solution for resolving inter-sentential anaphoric pronoun “nó” in Vietnamese paragraphs composing 3 to 5 simple sentences. In Vietnamese, “nó” is a special pronoun, can be used to indicate human, animal or non-animate object depending on the content and context of the paragraph (so in English, we should use “he”, “she” or “it”) . The proposed solution consists of some finding appropriate antecedent strategies based on constraints about grammatical characteristics of pronoun “nó” and lexicons belonging to noun, verb, adjective in Vietnamese, combine with some improvements in the computational model which we built before for implementing these strategies.