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To provide a high starting torque and to work under a high rpm range are the design requirements for the integrated startgenerators (ISG) used for intelligent vehicles with hybrid powertrains. However, meeting with both of these two requirements usually involves with sophisticated motor and controller design and high manufacturing cost. Hence, a transmission with variable reduction ratio is desired...
In this paper, a Takagi-Sugeno-Kang (TSK) type collaborative fuzzy rule based system is proposed with the help of knowledge learning ability of collaborative fuzzy clustering (CFC). The proposed method split a huge dataset into several small datasets and applying collaborative mechanism to interact each other and this process could be helpful to solve the big data issue. The proposed method applies...
Vehicle hybridization offers the opportunity to eliminate conventional engine starters in favor of e-motor engine start, i.e. using the hybrid's electric traction motor, ‘e-motor’, to start the engine. The advantages of e-motor engine start are many: 1) A freight efficiency gain of about 1% can be achieved by eliminating the starter and extra Pb-acid battery weight in a heavy-duty vehicle† 2) Less...
This paper deals with an integrated starter-alternator (ISA) drive which exhibits a high torque for the engine start, a wide constant-power speed range for the engine speedup, and a high-speed generator mode operation for electric energy generation. Peculiarities of this ISA drive are thus its flux-weakening capability and the possibility to large torque overload at low speed. The focus on the design,...
Currently available intrusion detection systems focus mainly on determining uncharacteristic system events in distributed networks using signature based approach. Due to its limitation of finding novel attacks, we propose a hybrid model based on improved fuzzy and data mining techniques, which can detect both misuse and anomaly attacks. The aim of our research is to reduce the amount of data retained...
The development of process-aware information systems (PAISs) heavily relies on the notion of software configuration rather than classical software development approaches based on coding. To date, there is no accepted development strategy for the configuration of PAIS technology and construction of specific applications added to these systems tends to proceed on an ad-hoc basis rather than following...
Service level agreements (SLAs) impose many non-functional requirements on services. Business analysts specify and check these requirements in business process models using tools such as IBM WebSphere Business Modeler. System integrators on the other hand use service composition tools such as IBM WebSphere Integration Developer to create service composition models, which specify the integration of...
The VoIP technology has been increasingly popular and the number of its users has surged in the past years, because of its economical advantage over the traditional PSTN services. As a side effect, various VoIP servers and clients are becoming attractive targets of malicious attacks. This paper outlines the detection rules we have formulated to detect fuzzing attacks, which attempt to crash a VoIP...
Developing sustainable urban environments is complex as it requires consideration of interacting social, economic and environmental sustain ability factors. The task is made even more difficult by the wide variety of stakeholders (e.g. planners, architects, businesses and the public) that may be involved in the process and the lack of a common language for all to understand. This paper describes a...
This paper describes a benchmarking workload model for business process execution language (BPEL) engines for Web services. The proposed model is based on simulation of real world traffic conditions by defining a set of requirements which best characterize the end-users. The performance characteristics are evaluated on top of collected measurements such as success/fail rate, response times or round-trip...
A model management workflow typically consists of a number of interdependent model-management tasks such as model validation, transformation, merging, comparison and text generation. As such workflows are becoming more and more complex, errors in individual tasks are likely to be propagated to subsequent tasks and eventually compromise the operation of the entire workflow. Therefore, building confidence...
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