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Co-combustion characteristics of textile dyeing sludge (TDS) and pomelo peel (PP) under O2/N2 and O2/CO2 atmospheres were investigated using a thermogravimetric analysis (TGA) and artificial neural networks. 30% O2/70% CO2 and air atmospheres led to a similar co-combustion performance. Increases in O2 concentration and PP significantly improved the oxy-fuel co-combustion performance of TDS. Principal...
Brain machine interface (BMI) is an emerging technology that aims to assist people with disabilities as well as the aged by allowing their users to intuitively control external devices by intent alone. This paper presents a signal processing technique for a low cost brain machine interface (BMI) that uses spectral analysis and artificial neural network (ANN) to classify three mental states from electroencephalographic...
The realization of robotic systems that understands human intentions and produces accordingly complex behaviors is needed particularly for disabled persons, and would consequently benefit the aged. For this purpose, a control technique that recognizes human intentions from neural responses called brain machine interface (BMI) have been suggested. The unique ability to communicate with machines by...
The dependency function proposed in the rough set model and fuzzy rough set model is widely employed in feature evaluation and attribute reduction. It is shown that the relations between fuzzy memberships haven't used in the function. We introduce the concept of fuzzy similarity measure and propose a new model in evaluating feature dependency. The properties of the model were discussed. Experimental...
Condition classification has been widely used for assessing equipment status for machine condition monitoring and diagnostics. An engine was fitted with one temperature and two pressure sensors to study the machine conditions in prognostics with an added abnormal state, in addition to the conventional normal and failure states. This work enables a better classification capability in order to predict...
The traditional access control model is not appropriate to do dynamic authorization when there are changes of trust value, organizational structure, attribute of the subject, time strategy, task or process and so on. In this condition, we need a dynamic authorization model according to these changes. The change of trust value is an important factor to do dynamic authorization in dynamic federation...
The execution of web applications always involves many levels (Operating system, Java virtual machine, Web server, Database server, application itself). Each level can produce its corresponding logs, which record the information of the level's running state and history. Based on the multi-level logs generated by the running web systems, this paper proposes a comprehensive method to evaluate and analyze...
As the development of Condition Based Maintenance (CBM), condition monitoring and prognostics are playing increasingly important parts in maintenance plans which can extract the fault onsets in running process and make maintenance strategy before component failure. Condition classification applied in condition monitoring with a significant deterioration process can classify the equipments' conditions...
We model software bug reports as a topological network called reporter network. By statistical analysis we And that the reporter network displays a number of features (scale-free, small-world, and etc.) shared by other complex networks. In order to understand the origins of these features, an evolving complex network model is proposed for the first time. The experimental results show that the model...
Support vector machine (SVM) has been widely studied and shown success in many application fields. However, the performance of SVM drops significantly when it is applied to the problem of learning from imbalanced data sets in which negative instances greatly outnumber the positive instances. This paper analyzes the intrinsic factors behind this failure and proposes a suitable re-sampling method. We...
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