Using administrative data from firms in Australia that conduct research and development (R&D), we examine how R&D activity of other firms and public institutions affect a firm’s own R&D expenditure. We distinguish between the impact of peers, suppliers and clients. We examine whether geographical proximity and industrial clustering affect R&D spillovers. Overall, we detect positive effects on R...

This paper is concerned with automated classification of Combinatorial Optimization Problem instances for instance-specific parameter tuning purpose. We propose the CluPaTra Framework, a generic approach to CLUster instances based on similar PAtterns according to search TRAjectories and apply it on parameter tuning. The key idea is to use the search trajectory as a generic feature for clusterin...

In database applications, database operations should be provided to maintain persistency of the data which is often represented as database attributes. Any missing, redundant or inconsistent operation performed on database attributes would indicate anomaly or even program bugs. Through characterizing operations performed in database transactions on database attributes, we extract a feature vect...

This paper introduces an automatic procedure to assist on the interpretation of a large dataset when a similarity metric is available. We propose a visualization approach based on a graph layout methodology that uses a Quadratic Assignment Problem (QAP) formulation. The methodology is presented using as testbed a time series dataset of the Standard & Poor’s 100, one the leading stock market ind...

In order to robustly perform segmentation for industrial design objects measured by a 3-D scanning device, we propose a new method for high-quality vertex clustering on a noisy mesh. Using Student-t mixture model with the variational Bayes approximation, we develop a vertex clustering algorithm in the 9-D space composed of three kinds of principal curvaturemeasures alongwith vertex position and...

The modern growth in fabricate energy efficient Wireless Sensor Network is liberal a novel way to systematize WSN in applications like surveillance, industrial monitoring, traffic monitoring, habitat monitoring, cropping monitoring, crowd including etc. The rising use of these networks is making engineers evolve novel and efficient ideas in this field. A group of research in data routing, data ...

In the previous years, wireless sensor networks (WSNs) got lot of attraction from the scientific and industrial society. WSNs are composed of huge number of small resource constrained devices recognized as sensors. Energy is a vital issue in WSN. Energy efficient clustering is an eminent optimization problem which has been studied extensively to prolong the lifetime of the network. This paper d...

Within the rapid industrialization, the noticeable environmental problems are prominent in the world. The eco-industrial park (EIP) is a new form of industrial organization. This article used the social network analysis (Social Network Analysis, SNA) to analyze the structure of the recycling production chain in Guigang (China), proving useful in the analysis of the structural characteristics of...

This paper presents a sensor fault detection and diagnosis approach for industrial combustion processes. Clustering algorithms are applied to the measurements of controllable process variables involved in single-input-single-output feedback control loops. Current data points from the process are compared with the clusters to identify sensor faults. Once the measurements of controllable process ...

The paper analyses the impact of geographic innovation on Total Factor Productivity (TFP) in Taiwan. Using 242 four-digit standard industrial classification (SIC) industries in Taiwan in 2001, we compute TFP by estimating Translog production functions with K, L, E and M inputs, and measure the geographic innovative activity using both Krugman's Gini coefficients and the location Herfindahl inde...