The Performance Metric for Enterprise Service Bus (ESB) in SOA system: Theoretical underpinnings and empirical illustrations for information processing

Now days, the businesses are going online and e-Commerce industry is on its boom. In this changing era of development, services are to be Robust, Agile, Accessible and Available to its clients. For secured and guaranteed delivery of services, every big organization is shifting their service delivery model to Enterprise Service Bus (ESB). It promises to set up a strong guideline to build System Oriented Architecture (SOA) system, which leverages multiple services from different application domains. This paper presents an analytical survey of ESB on different parameters influencing the performance of SOA in the present changing scenario and service patterns.     

Channel and feature selection for a surface electromyographic pattern recognition task

The objective of this research is to select a reduced group of surface electromyographic (sEMG) channels and signal-features that is able to provide an accurate classification rate in a myoelectric control system for any user. To that end, the location of 32 sEMG electrodes placed around-along the forearm and 86 signal-features are evaluated simultaneously in a static-hand gesture classification task (14 different gestures). A novel multivariate variable selection filter method named mRMR-FCO is presented as part of the selection process. This process finds the most informative and least redundant combination of sEMG channels and signal-features among all the possible ones. The performance of the selected set of channels and signal-features is evaluated with a Support Vector Machine classifier.     

A quantitative analysis of pattern production and its relationship to expert performance

Abstract. The modelling and measurement of expertise is a relatively new research area in artificial intelligence and cognitive science. Many domains do not have a formal method for evaluating expertise. When formal methods exist, they are frequently inefficient. Using an extension to the IAM program, a pattern recognition and acquisition method for evaluating the level of expertise for the domain of chess is developed. Chess players, as well as experts in other domains, use cognitive chunks of perceptual patterns to gain a cognitive economy that enables them to evaluate complex domain situations faster and more accurately than novices. The IAM program acquires a representative collection of the perceptual patterns demonstrated by a domain expert and uses those patterns to analyse skill level. A longitudinal study of a developing player and a comparison of the developing player to an established expert demonstrates the utility of the developed method for evaluating expertise.     

The ECHORD project proposals analysis – Research profiles,collaboration patterns and research topic trends

This paper investigates the research profiles, collaboration patterns and research topic trends which can be identified in the proposals submitted to the ECHORD (European Clearing House for Open Robotics Development) FP7 project. On a country level, clusters were identified and characterized by patterns of proposal production per inhabitant, score and international cooperation. Belgium and Sweden constitute a cluster characterized by high proposal production, with very high scores and extensive international collaboration. Belgium also excels from another cluster analysis, being as the only country where 100% of proposals involve industry–academia cooperation and obtain scores above 10. Other findings show that single partner proposals have significantly lower quality than multi-partner proposals but, on the other hand, the number of countries involved shows no influence on the quality of the proposals. Despite the high number of industrial participants present on the proposals, it is observed that they play secondary roles in the proposals, with a very low number projects leaded by companies. Also, it is observed that partnerships between research institutions (non-universities) are the most successful. Concerning topics of the proposals, the technology human–robot interface and the product vision robot for small-scale manufacturing are the most significant. Finally, the paper shows clusters of institutions extracted from the giant network of relations obtained from the ECHORD set of proposals.     

Gas and LNG trading hubs,hub indexation and destination flexibility in East Asia

In the East Asian gas markets, issues like gas trading hubs, hub indexed pricing, and destination flexibility are being debated. This paper examines the impact of a change in East Asia's pricing benchmark and contract flexibility on the regional and global gas markets. The paper uses the Nexant World Gas Model, a linear program with global cost minimization as the objective. To our knowledge, this study on hub competition, price benchmark change and contract flexibility improvement in East Asia will be the first in the literature and have real policy relevance. The results show that both price benchmark change and contract flexibility improvements will create an overall benefit for the world and East Asia importers, but the impacts are different among exporters and importers. However, there is no evidence of competition among different benchmark hubs and no evidence that destination restrictions cause the “Asia Premium”. It implies that removal of destination clauses has higher priority than the change to hub indexation for Japan, Korea and Chinese Taipei, but both should be treated equally in China. The study also suggests that East Asian importers should cooperate among themselves and with exporters to facilitate the hub creation and contract changes in East Asia.     

A disruption recovery plan in a three-stage production-inventory system

This paper proposes a recovery plan for managing disruptions in a three-stage production-inventory system under a mixed production environment. First, a mathematical model is developed to deal with a disruption at any stage while maximizing total profit during the recovery-time window. The model is solved after the occurrence of a disruption event, with changed data used to generate a revised plan. We also propose a new and efficient heuristic for solving the developed mathematical model. Second, multiple disruptions are considered, where a new disruption may or may not affect the recovery plans of earlier disruptions. The heuristic, developed for a single disruption, is extended to deal with a series of disruptions so that it can be implemented for disruption recovery on a real-time basis. We compare the heuristic solutions with those obtained by a standard search algorithm for a set of randomly generated disruption test problems, and that show the consistent performance of our developed heuristic with lower computational times. Finally, some numerical examples and a real-world case study are presented to demonstrate the benefits and usefulness of our proposed approach.     

One-against-all ensemble for multiclass pattern classification

This paper presents a new method called one-against-all ensemble for solving multiclass pattern classification problems. The proposed method incorporates a neural network ensemble into the one-against-all method to improve the generalization performance of the classifier. The experimental results show that the proposed method can reduce the uncertainty of the decision and it is comparable to the other widely used methods.     

圆弧滑动的稳定性分析及软件实现

圆弧滑动边坡的稳定性验算最大的困难是寻找最危险的滑动圆弧,也就是确定最危险滑动圆弧的圆心位置。基于圆弧滑动面的假定,提出了一种运用模式搜索法确定边坡最危险滑动面及其对应的最小安全系数的方法。以Felle—nius条分法和简化Bishop法为基础,运用VB结合CAD的二次开发功能,编制出程序来搜索圆弧滑动边坡最危险滑动圆...     

Development of a large area plate-to-plate type UV imprinting tool

A UV imprint lithography tool has been developed for micro/nano-scale patterning in an extremely large area, i.e., ∼300 × 400 mm². To achieve high pattern fidelity, residual-layer thickness uniformity, and an air bubble-free layer in a large area, the UV imprint tool has several main components including a silicon rubber uniform pressurizer, a large area UV-LED module, a vacuum pump, a chuck module, etc. Contact and structural analyses have been performed using commercial FEM packages such as LS-DYNA and ANSYS. The developed tool has been tested, and its performance indices including pattern fidelity and residual-layer thickness uniformity have been measured to be ∼97% and ∼90%, respectively.