43377731
Software as a Service: An Integration Perspective
Software as a Service (SaaS) is gaining momentum in recent years with more and more successful adoptions. Though SaaS is delivered over Internet and charged on per-use basis, it is software application in essence. SaaS contains business data and logics which are usually required to integrate with other applications deployed by a SaaS subscriber. This makes Integration become one of the common requirements in most SaaS adoptions. In this paper, we analyze the key functional and non-functional SaaS integration requirements from an industry practitioner point of view; and summarize the SaaS integration patterns and existing offerings; then point out the gaps from both technology and tooling perspectives; finally we introduce a SaaS integration framework to address those gaps. Considering there is no much academic work on SaaS service modeling, we come up with a SaaS service description framework as an extension of Web Service description, so as to model SaaS unique features in a unified way. With the supported tooling and runtime platform, the framework can facilitate the SaaS integration lifecycle in a model-driven approach.
9437535
Practical Application of FDC in Software Service Pricing
This paper proposes a modified fully distributed cost (FDC) pricing method with third-degree price discrimination for software service. The method is a feasible and simple method to be used in practice. The pricing process is generalized as involving data collection, strategy analysis and strategy establishment. Then a practical SCM software service pricing in retail industry is described
1087856
Towards a Model Driven Service Engineering Process
Developments in the realm of business services have opened new challenges in the business consulting world. Consequently, new procedures for services system development are being proposed. In this work, we present a model driven approach for streamlining the service engineering process. An important aspect of our work is a method for model transformation, which is essential for providing and enhancing the management and governance capabilities of the service engineering process. We then introduce a novel infrastructure which leverages Web 2.0 technologies to address the challenge of developing semantic modeling editors. Finally, we use this infrastructure as the target platform to validate our work.
20822692
Fuzzy Predictive Control in Czochralski Crystal Growth with Power Input as the Unique Manipulation
This paper presents a study to Czochralski crystal growth process based on Hurle’s model linearized at the equilibrium points. In this study, we do the attempt to get single crystal with constant diameter using the power input as the unique manipulation by removing pull rate manipulation which was suspected to be contributing to structure defects in the crystal from the system. Compared with the traditional PID, fuzzy predictive control algorithm is more effective to handle the Czochralski growth process which enhances the tracking capability and system robustness. Simulation results indicate that we can get the constant diameter of crystal by manipulating the power input only and fuzzy predictive control is more effective to the time-lagging and inertia system.
29748731
Support vector machine networks for multi-class classification
The support vector machine (SVM) has recently attracted growing interest in pattern classification due to its competitive performance. It was originally designed for two-class classification, and many researchers have been working on extensions to multiclass. In this paper, we present a new framework that adapts the SVM with neural networks and analyze the source of misclassification in guiding our preprocessing for optimization in multiclass classification. We perform experiments on the ORL database and the results show that our framework can achieve high recognition rates.
17724018
Logical structure based semantic relationship extraction from semi-structured documents
Addressed in this paper is the issue of semantic relationship extraction from semi-structured documents. Many research efforts have been made so far on the semantic information extraction. However, much of the previous work focuses on detecting `isolated' semantic information by making use of linguistic analysis or linkage information in web pages and limited research has been done on extracting semantic relationship from the semi-structured documents. In this paper, we propose a method for semantic relationship extraction by using the logical information in the semi-structured document (semi-structured document usually has various types of structure information, e.g. a semi-structured document may be hierarchical laid out). To the best of our knowledge, extracting semantic relationships by using logical information has not been investigated previously. A probabilistic approach has been proposed in the paper. Features used in the probabilistic model have been defined.
29061314
Improving CS-4 User Data Rate in GPRS Enabled Devices by Using a BLER Co-processor
 The General Packet Radio Service (GPRS) was developed to allow packet data to be transported efficiently over an existing circuit switched radio network. The main applications for GPRS are in transporting IP datagram’s from the user’s mobile Internet browser to and from the Internet, or in telemetry equipment. A simple Error Detection and Correction (EDC) scheme to improve the GPRS Block Error Rate (BLER) performance is presented, particularly for coding scheme 4 (CS-4), however gains in other coding schemes are seen. For every GPRS radio block that is corrected by the EDC scheme, the block does not need to be retransmitted releasing bandwidth in the channel, improving throughput and the user’s application data rate. As GPRS requires intensive processing in the baseband, a viable hardware solution for a GPRS BLER co-processor is discussed that has been currently implemented in a Field Programmable Gate Array (FPGA) and presented in this paper.