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In ubiquitous IoT environment, recommending services are getting popular in daily livings that depend on user identification, location, activity, situation and preferences. To provide scalable and dynamic solutions for smart spaces service features, Web of Objects facilitates real world object virtualization using semantic ontology. Cognitive functionalities in Web of Objects combines intelligence...
To control the coordination between various muscles and nerves in the human body, brain is utilized. Due to the sudden, unexpected and transient electrical disturbances of the brain, it results in an acute disease called epilepsy which is characterized by recurrent seizures leading to a lot of temporary changes in behaviour, perception, movement and health. Epilepsy occurs due to the rapid firing...
After stroke, the most prevalent neurological disorder is epilepsy. The sudden occurrence of the seizures which are unpredictable in nature can cause great harm to epileptic patients thereby leading to a poor quality of lifestyle for them. The transient abnormal behaviour of neurons in the brain is seizures which limits the mental and physical activities of the patient. To measure the electrical potential...
The main aim of this research is to find the feasibility of Linear Discriminant Analysis (LDA) in optimization of fuzzy outputs for epilepsy risk level classification from EEG signals. One of the prominent neurological disorders affecting the nervous system is epilepsy. Due to the hyperactivity of neurons in certain regions of the brain epileptic seizures occur. To classify the epilepsy risk levels...
In the arena of biomedical engineering, the classification and analysis of epilepsy from Electroencephalography (EEG) signals forms an important area of research. When the neurons get hyper excited, seizures occur causing a lot of inconvenience and trouble to the patient. For the study of the predominant abnormalities in the cerebral cortex of the brain, EEG is used widely. Due to the long nature...
One of the age old neurological disorders found in human beings is epilepsy. It is witnessed by the abnormal electrical activities in the brain which causes recurring seizures, therefore the patient suffers from loss of consciousness. Due to the random nature of the seizures, the patients may not be aware of it and so it increases the risk of physical injury. Due to the disturbed brain activity, epileptic...
The ability to classify and identify the language being spoken is of immense value in a multi-lingual society like India. Spoken language identification is the process of identifying the language being spoken in an audio utterance. Spoken Indian language identification is an active research area because of the increased use of voice based self help systems being deployed by enterprises and government...
Dynamic Energy investment funds streamlining gets to be one of the significant worries in the remote sensor system (WSN) directing convention outline, because of the way that most sensor hubs are furnished with the constrained non rechargeable battery power. In this paper, we concentrate on minimizing vitality utilization and amplifying system lifetime for information transfer in one-dimensional (1-D)...
Convergecast, the process of data collection from set of sensor nodes and forwards to the sink node over a tree based topology is a fundamental traffic pattern in Wireless Sensor Networks(WSN). Time Division Multiple Acess(TDMA) protocol is considered for scheduling, where time is divided into slots. The main aim of this paper is to reduce the number of time slots (scheduling length) using different...
Data on World Wide Web has been growing in an exponential manner. This raises a severe concern on information overload challenges for the users. Retrieving the most relevant information from the web as per the user requirement has become hard because of the large collection of heterogeneous documents. One approach to overcome this is to personalize the information available on the Web according to...
WSN(Wireless sensor network) depicted as an emerging technology, with its potential applications in the field of territory monitoring and industrial applications. The sensors employed in the surrounding environment will monitor the physical attribute changes such as temperature, humidity, etc. and makes notice of the data being gathered and delivers the gathered information to the (BS) base station...
Skin color segmentation is important for several image processing, and computer vision applications. But, the accuracy of a color-based skin detection method is affected by the presence of some skin-like colors in the background regions. So, probabilistic approaches are more suitable for the skin detection as compared to hard decision-based approaches. A Skin Probability Map (SPM) of an image provides...
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