Abstract According to a survey on the cause of death among Japanese people, lifestyle-related diseases (such as malignant neoplasms, cardiovascular diseases, and pneumonia) account for 55.8% all deaths. Three habits, namely, drinking, smoking, sleeping, are considered most important factors associated with but it is difficult measure these habits autonomously regularly. Here, we propose machine...

This study concerns the use of Artificial Neural Networks (ANNs) in automatic classification of the emphatic consonants of the Standard Arabic Language (SAL). It reinforces the few works directed towards the speech recognition in Standard Arabic. We have applied the Time Delay Neural Network (TDNN) approach which permits a classification of the phonemes by taking into account the dynamic aspect...

| This paper presents a writer independent system for large vocabulary recognition of on-line handwritten cursive words. The system rst uses a ltering module, based on simple letter features, to quickly reduce a large reference dictionary (lexicon) to a more manageable size; the reduced lexicon is subsequently fed to a recognition module. The recognition module uses a temporal representation of...

This paper describes the implementation of Time Delay Neural Networks (TDNN) to recognize gestures from video images. Video sources are used because they are non-invasive and do not inhibit performer's physical movement or require specialist devices to be attached to the performer which experience has shown to be a significant problem that impacts musicians performance and can focus musical reh...

This paper proposed human identification method by gait. Human gait is a type of biometric features and related to the physiological and behavioral features of a human. In this paper, a feature vector of gait motion parameters is extracted from each frame using image segmentation methods, and categorized into different categories. Two of these categories were used to form the gait motion trajec...

There is diversity in the use of global goodness-of-fit statistics to determine how well models forecast flood hydrographs. This paper compares the results from nine evaluation measures and two forecasting models. The evaluation measures comprise global goodness-of-fit measures as recommended by Legates and McCabe (1999) and Smith (2000) and more flood specific measures which gauge the ability ...

IEEE recently standardized 802.21-2008 Media Independent Handover (MIH) standard. MIH is a key milestone toward the evolution of integrated heterogeneous 4G wireless networks. MIH provides number of link layer events in a unified way that facilitate upper layer protocols in making handover decisions. One such event is Link Going Down (LGD) trigger. LGD is a predictive event that is generated wh...

Intrusion Detection Systems (IDS) have become a necessity in computer security systems because of the increase in unauthorized accesses and attacks. Intrusion Detection is a major component in computer security systems that can be classified as Host-based Intrusion Detection System (HIDS), which protects a certain host or system and Network-based Intrusion detection system (NIDS), which protect...

A COMPUTER-BASED ARTICULATION TRAINING AID FOR SHORT WORDS (CATA) Mukund Devarajan Old Dominion University, 2003 Director: Dr. Stephen A. Zahorian Several improvements in the vowel articulation training aid (VATA) are described, as well as the efforts to extend the visual feedback system to operate with short words in the form of consonant, vowel and consonant (CVC). The extended version of the...

A new class of neural networks are proposed for the dynamic classiication of spatio-temporal signals. These networks are designed to classify signals of diierent durations, taking into account correlations among diierent signal segments. Such networks are applicable to SONAR and speech signal classiication problems, among others. Network parameters are adapted based on the biologically observed...