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It is the key of whether the ERP system can be applied successfully to definitude, organize and manage the knowledge resources during ERP implementation scientifically. In this paper, we use the analyzing method of project management to formulate the basic plan of ERP implementation. Based on that, we analyze the required knowledge according to the phases of ERP implementation, elaborate the knowledge from many angles, and form the bill of knowledge resources. This will help enterprises to make the knowledge resources plan during ERP implementation, guide their practice, and increase the success rate and efficiency of ERP implementation. [ABSTRACT FROM AUTHOR]

This paper extends the upright face detection framework proposed by Viola et al. 2001 to handle in-plane rotated faces. These haar-like features work inefficiently on rotated faces, so this paper proposes a new set of ±26.565 ° haar-like features which can be calculated quickly to represent the features of rotated faces. Unlike previous face detection techniques in training quantities of samples to build different rotated detectors, with these new features, we address to build different rotated detectors by rotating an upright face detector directly so as to achieve in-plane rotated face detection. This approach is selected because of its computational efficiency, simplicity and training time saving. This proposed method is tested on CMU-MIT rotated test data and yields good results in accuracy and maintains speed advantage. [ABSTRACT FROM AUTHOR]

It is an important research topic to improve detection rate and reduce false positive rate of detection model in the field of intrusion detection. This paper adopts an improved boosting method to enhance generalization performance of intrusion detection model based on rule learning algorithm, and presents a boosting intrusion detection rule learning algorithm (BIDRLA). The experiment results on the standard intrusion detection dataset validate the effectiveness of BIDRLA. [ABSTRACT FROM AUTHOR]

This paper presents and implements a high-performance network monitoring platform (HPNMP) for high bandwidth network intrusion detection system (NIDS). The traffic load on a single machine is heavily reduced in an operation mode of parallel cluster. An efficient user-level messaging mechanism is implemented and a multi-rule packet filter is built at user layer. The results of experiments indicate that HPNMP is capable of reducing the using rate of CPU while improving the efficiency of data collection in NIDS so as to save much more system resources for complex data analysis in NIDS. ... [ABSTRACT FROM AUTHOR]

Multi-computations in finite groups, such as multiexponentiations and multi-scalar multiplications, are very important in ElGamal-like public key cryptosystems. Algorithms to improve multi-computations can be classified into two main categories: precomputing methods and recoding methods. The first one uses a table to store the precomputed values, and the second one finds a better binary signed-digit (BSD) representation. In this article, we propose a new integer similarity strategy for multi-computations. The proposed strategy can aid with precomputing methods or recoding methods to further improve the performance of multi-computations. Based on the integer similarity strategy, we propose two efficient algorithms to improve the performance for BSD sparse forms. The performance factor can be improved from 1.556 to 1.444 and to 1.407, respectively. Keywords: ElGamal-like public key cryptosystems, binary signed-digit (BSD) representations, sparse forms, multi-computations, multiexponentiations, multi-scalar multiplications [ABSTRACT FROM AUTHOR]

Isolation of a full-length gene and analysis of expression profiling are fundamental and challenging in the current molecular biology. A great deal of effort is needed to detect unknown gene sequences by screening cDNA or genomic libraries by nucleic acid or protein probes. As the complete genome sequences of many organisms have been reported, this has raised the most challenging issue that how global gene expression patterns can be detected. Recently, various PCR methods have been developed for cloning of unknown genes and analysis of expression profiling (1-10). Several PCR-based strategies such as iAFLP (introduced amplified fragment length polymorphism) and TOGA (total gene-expression analysis) are currently available for global gene-expression analysis (8-10). An outline of gene cloning and expression profiling by anchored-PCR with vector primers is illustrated in Fig. 1B. In this chapter, we focus on how to use a gene library and anchored-PCR for cloning unknown gene sequences (see fig. 1 A). Friedmann et al. (1) first used PCR to screen λgt11 library with two gene-specific primers. This protocol can be effectively used to isolate a particular DNA fragment between two specific primers or to generate nucleic acid probe from cDNA libraries. The unknown sequences flanking the fragment between the two specific primers can not be amplified by this method. [ABSTRACT FROM AUTHOR]