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Based on recording the inputs and outputs of control systems and its control modules and control blocks during on-site disturbance experiments and tests, an abnormal signal analysis based method for locating oscillation source in control blocks is proposed by intensively comparing the differences between the ideal standard responses and the actual response of a control system and its control modules...
IaaS cloud converts physical resources into resource pools. The pool oriented resource management model requires transparency of the underlying physical resources, as well as the on-demand consumption of IT services and the trust verification of the resources from cloud users. A viable way is by creating trusted clusters that consist of trusted physical machines, with strict membership management...
Cloud computing enables rapid deployment of services on an on-demand basis in large scale. Public clouds are open to all users with identities from various domains, requiring the support of multiple identity providers and hybrid authentication protocols. The complexity of the authentication scenario brings a great burden to service providers. Service providers and users know only a small part of the...
Recent studies have shown that the low-power ZigBee based wireless sensor networks (WSN) are vulnerable to the interference of Wi-Fi wireless local area networks (WLAN). From our experimental studies on this coexistence issue, it is found that there are a large number of acknowledgement (ACK) packet losses in the ZigBee packet transmission process, which, in turn, generates large number of unnecessary...
IaaS encourages pooled resource management model, which provides transparency on the management and provision of IT resources. The transparency, hiding physical details of the underlying resources, makes it difficult for cloud users/services to identify trusted resources for service deployment, resulting in potential risks of deploying critical services on untrusted resources. This paper proposes...
It has attracted extensive interests to discover knowledge from data streams generated in real-time. At present, there are some data streams mining frameworks, providing mining solutions for data streams. This paper proposes an on-demand framework (SRAStream) based on the concept drifting detection. SRAStream allows quick clustering with certain accuracy using only limited resource, enabling the real-time...
Relational databases have been prevailing for the last two decades, with features of clear semantics and ease of use with SQL supported by the underlying theory, relational algebra. Relational databases provide good support for structural data management. However, recent development in IT brings forward big data, featuring extreme large volume and variety in data type and structures, and relational...
IaaS encourages pooled resource management model, which provides transparency on the management and provision of IT resources. The transparency, hiding physical details of the underlying resources, makes it difficult for cloud users/services to identify trusted resources for service deployment, resulting in potential risks of deploying critical services on untrusted resources. This paper proposes...
Signature generation is critical for malware defense. Since the manual operation of signature generation costs too much time and does not guarantee the accuracy, the automatic signature generation has raised great concerns. In this paper, we propose a novel approach for automatic signature generation of malware, which directly leverages bioinformatics algorithms and toolkits based on transcoding....
Land surface albedo is critical in earth radiation budget and global climate monitoring. At present, models and algorithms for land-surface albedo retrieval from diverse satellites have been well developed. However, limited sampling angles from mono-sensor and coarse temporal resolution restrict the further promotion and application of albedo. Multi-sensor observations offer more information of land...
The low-power, low-rate ZigBee/IEEE 802.15.4 wireless sensor network (WSN) is vulnerable to the interference from a collocated wireless local area network (WLAN), which operates with considerably higher power in the same 2.4GHz Industrial, Scientific, and Medical (ISM) band. In this paper, a novel and effective Interference Aware Adaptive Clear Channel Assessment (IAACCA) technique is proposed to...
Power flow study is a fundamental task of power system operation and planning. Of the several methods developed in commercial package for power flow study, the Newton-Raphson method is the most successful one. It is however well recognized that the NR method may diverge in power flow study. In this paper, we numerically study the convergence regions of power flow solutions using Newton-Raphson(NR)...
Recent studies have shown that low-power ZigBee based wireless sensor networks (WSN) are vulnerable to the interference generated by Wi-Fi nodes. In this study, the effects of energy detection (ED) mechanism in clear channel assessment (CCA) of ZigBee transmitter under 802.11g Wi-Fi interference have been evaluated through experimentation. To improve the performance of ZigBee packet transmission,...
Platform as a service (PaaS) is a cloud computing service model that provides a computing platform and a solution stack as an on-demand service, allowing users to create, deploy and control their own cloud services without building and managing their own computing platforms. PaaS providers provide the networks, servers and storages alongside with the PaaS platform. Though cloud computing is getting...
The occurrence of a large disturbance in a power system can lead to a decline in the system frequency due to a real power deficiency or generation-load imbalance. The emergency control action is required to stop the system degradation immediately and minimize the impact to the system. In this paper, an adaptive emergency control method is proposed to prevent the system excess frequency decline and...
Based on the Technology Acceptance Model (TAM) developed from the theory of reasoned action (TRA) and social psychology research by Davis (1989), this study models the use of the Internet-based modular object-oriented dynamic learning environment (Moodle) by students of the computer science department at Ming Chuan University (MCU), Taiwan. Apart from student demographics and background information...
When using the standard particle swarm optimization to optimize the complex problems with high dimension, low convergence efficiency and falling into local optimization usually occur because of its inherent disadvantages. To avoid these disadvantages, a novel hybrid particle swarm optimization improved by mutative scale chaos method is proposed in this paper. This hybrid algorithm combines global...
To ensure the reliability of the wafer stage system of lithography, all factors affecting the wafer stage system reliability were analyzed. A new method based on experts grading method[1] and analytic hierarchy process(AHP)[2] is developed to allocate the reliability indices of wafer stage system. This approach considers not only the experience and knowledge of the expert, but also combines the Comparative...
Engineering experience reminds us of the importance of uncertainty analysis in fatigue reliability based design. In the present paper, according to the procedure of fatigue reliability analysis, parameter uncertainty and model uncertainty are studied and the corresponding solutions are reviewed. The aim of parameter uncertainty analysis is to obtain reliability index to quantify uncertainties imported...
On the basis of the continuum damage mechanics, a new low cycle fatigue damage accumulation model, which takes the coupling effect of damage and strain into account, is proposed. The model has some practical values because of its clear physical meanings. With the analysis of low-cycle test data for a kind of material often used in aero engine, we know that the prediction data derived from this new...
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