The web provides excellent opportunities to businesses in various aspects of development such as finding a business partner online. However, with the rapid growth information, users struggle information overload and increasingly find it difficult locate right at time. Meanwhile, small medium (SMBs), particular, are seeking “one‐to‐one” e‐services from government current highly competitive markets. How can be provided services specific their needs, rather than an undifferentiated mass...

Purpose – The purpose of this paper is to develop a hybrid semantic recommendation system provide personalized government business (G2B) e‐services, in particular, partner e‐services for Australian small medium enterprises (SMEs).

Contractor's consummate performance behavior (CPB) is the key to achieve performance. However, mechanism of reasonable contract risk allocation incentives for CPB unknown. The objective this study reveal effective ways encourage contractor's by based on reference point theory and selecting trust perception fair as mediating variables. Through an empirical analysis valid questionnaires collected, results are follows: (1) Although economic benefits generated can induce perception, has no...

State-of-the-art facial expression methods outperform human beings, especially, thanks to the success of convolutional neural networks (CNNs). However, most existing works focus mainly on analyzing an adult’s face and ignore important problems: how can we recognize from a baby’s image difficult is it? In this paper, first introduce new database, named BabyExp, which contains 12,000 images babies younger than two years old, each with one three expressions (i.e., happy, sad, normal). To best...

Finding association rules is one of the most popular problems in field data mining. Apriori a well-known algorithm for rule It uses candidate generation and test method to find bitmap that satisfy minimum support threshold, but process repeatedly scans database produces plenty candidates. A new optimization based on bit set Matrix was proposed. just need scan twice generate matrix structure needed algorithm. During mining process, infrequent itemsets were deleted time reduce scanning range...

Liquid Argon Time Projection Chambers (LArTPCs) are high resolution particle imaging detectors, employed by accelerator-based neutrino oscillation experiments for precision physics measurements. While images of trajectories intuitive to analyze physicists, the development a quality, automated data reconstruction chain remains challenging. One most critical steps is clustering: task grouping 3D image pixels into different instances that share same type. In this paper, we propose first...

In view of most the current image encryption algorithm based on chaotic sequences, permutation and diffusion procedures are completely independent, use different state variables, key stream is dependent algorithm, namely, constant words plaintexts encrypted, using flow same, so it difficult to resist plaintext attack or selective attack. This paper has designed a dynamic hyperchaotic system. this paper, system pre-processed obtain ideal sequence which better randomness, alternative...

The latest UltraSPARC/sup TM/ III generation of servers from Sun Microsystems makes extensive use BIST and other DFT techniques to help improve test coverage reduce time during power-on self test. This paper is a case study which examines number different used in the Fire/sup Midframe servers, shows how they were combined diagnosis faults overall system availability. Specific are discussed include ASIC-based internal external memory BIST, ASIC logic microprocessor-controlled interconnect...

This paper describes a planning algorithm based on airborne for UAV to track and intercept moving target in the presence of dynamic obstacles considering maneuvering characteristics Unmanned Aerial Vehicle (UAV). In context ensuring sensor (camera) keep target, approach can generate time-optimal speed commands environment after discovering it. By filtering velocity instruction acceleration performance reachable commands. Assumption this method is that coordinates targets range sensors be...

Reconfiguration can reduce the bottleneck nodes/links when virtual network has been embedded successfully, with requests coming and expiring along time. However, well-designed embedding algorithm considers load balance or other constrains to map nodes/links, would not be mapped on nodes/links. So, there are two extremes in substrate network: no almost all nodes/links; reconfiguration based work migrated repeatedly. In order solve these problems, we provide networks adaptive interval, which...

Most popular image classification methods mainly focus on ability rather than recognizing new things. However, human lay emphasis cognition first and then classification, which is closely related to memory system. Though many models have been proposed, they are studied in word list whereas the reports about natural images still limited. This paper proposes a model for recognition based convolutional neural network Bayesian decision. First feature extracted by stored binary form. Then...

Space encoding is the effective method saving image- acquisition time in structure light 3D vision. In this paper, we propose calibration parameters, which do not include camera inner of rangefinder using scanning-based spatial code pattern. We discuss influence errors on measuring. A model systematic developed based geometry rangefinder. According to given accuracy, limits are set from model. An example cited. Moreover, shifting lens center and polyhedral mirror reflecting point precision.

This paper investigates the cooperative tracking control problem for networked uncertain Lagrange systems with a leader-follower structure on digraphs. Since leader’s information is only available to portion of followers, finite-time observers are designed estimate velocity. Based estimated velocity and universal approximation ability fuzzy logic systems, distributed adaptive protocol first proposed fault-free systems. Then, actuator faults considered fault-tolerant controller presented....

This paper investigates the cooperative tracking control problem for networked uncertain Lagrange systems on digraphs. By using universal approximation capability of fuzzy logic systems, a distributed adaptive protocol is proposed. Based graph theory and Lyapunov theory, convergence analysis proposed algorithm provided. The development in this suitable general directed communication topology, which only required to have spanning tree. Experimental results are demonstrated multi-robot...

This paper provides a distributed fault-tolerant cooperative control strategy for class of networked Euler-Lagrange systems subject to the additive actuator faults and partial loss effectiveness. The proposed controller consists two parts: nominal auxiliary controller. is developed firstly when actuators are fault-free. designed compensate faults. Numerical simulation results presented demonstrate effectiveness law illustrate its robustness external disturbances

A new algorithm, named SCan-MAX for mining distributed maximal frequent itemsets from databases was proposed, the used Sorted SCan-tree to store all information of transactions databases. firstly scanned local database and then gets global 1-frequent itemsets, it created on each node orderly sequence itemsets. All send master create SCan-tree. Then, root's sub-tree slave mine Experimental results show that algorithm makes full use characteristics SCan-Tree, significantly reduces amount...