To precisely model the time dependency of features, segmental unit input HMM with a dimensionality reduction method has been widely used for speech recognition. Linear discriminant analysis (LDA) and heteroscedastic discriminant analysis (HDA) are popular approaches to reduce the dimensionality. We have proposed another dimensionality reduction method called power linear discriminant analysis (...

Brain tumors are the second leading cause of cancer deaths in human throughout the world. Therefore accurate diagnosis is important for successful treatment of brain tumor. When modeling a complex, poorly defined problem with hundreds of possible inputs one must identify the significant inputs before any known modeling techniques can be applied. As generally the data contains many redundant fea...

Without inspirations, writing may be a frustrating task for most people. In this study, we designed and implemented WINGS, a Chinese input method extended on IBus-Pinyin with intelligent writing assistance. In addition to supporting common Chinese input, WINGS mainly attempts to spark users’ inspirations by recommending both word level and sentence level writing suggestions. The main strategies...

An antenna selection based initial ranging method is proposed in orthogonal frequency division multiple access (OFDMA) networks with multiple-input multiple-output (MIMO) for IEEE 802.16m standard. In the proposed scheme, the initial ranging signal processing is selected by the antenna selection at the base station, where the receive antenna with the largest received signal-to-interference-and-...

Computing devices are becoming more ubiquitous and are increasingly used in environments away from the desktop. For example, computers are more frequently being used while walking, as is the case with hand-held devices, navigation systems and mobile phones. This paper investigates selection accuracy and task completion time when using stylus touch as the input method on hand-held devices. An ex...

A clonal selection algorithm (CLONALG) inspires from Clonal Selection Principle used to explain the basic features of an adaptive immune response to an antigenic stimulus. In this study, a new method is proposed for optimization of the Multiple Input Single Output (MISO) fuzzy membership functions using CLONALG. The most appropriate placement of membership functions with respect to fuzzy variab...

abstract background: obesity represents one of the most important nutritional problems worldwide.obesity in childhood can cause variety of health issues such as orthopedic, neurological, pulmonary and gastroenterological disorders in the future, although no side effects were reported from malignant obesity during childhood. in this paper, we presented a computer-aided diagnosis system to predic...

forecasting of municipal waste generation is a critical challenge for decision making and planning,because proper planning and operation of a solid waste management system is intensively affected by municipal solid waste (msw) streams analysis and accurate predictions of solid waste quantities generated. due to dynamic and complexity of solid waste management system, models by artificial intell...