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Medicinal plants are getting increasingly popular across the world for their ability to cure different diseases including chronic ones. The chemical compositions present in those plant leaves are main contributors for the healing characteristics. The potential of using such plants also depends on the maturity of the medicinal plant under use. The leaves with appropriate maturity can cause better healing...
Turmeric quality mainly depends on Curcumin which not only imparts yellow color of turmeric but also the principal Curcuminod of turmeric. Chemicals with yellow colors e.g. Metanil yellow are often mixed to turmeric powder for achieving the attractive yellow color without much change in taste. Consumption of adulterant can cause health hazards. The detection of unwanted mixing of adulterant with food...
Inspection of food quality is an important operation in food and agro industries. Nowadays computer vision is frequently used for such operations as it can provide fast, economical, non-invasive, consistent and objective assessment. This paper presents a study on identifying the qualitative grades of rice bran using computer vision. The study is performed using three samples of rice bran collected...
In this paper, we propose design of even order low pass FIR filter and odd order bandpass FIR filter using coefficients optimized by an adaptive Global Best steered Cuckoo Search Algorithm (gbest CSA). For optimization, we use a mean square error based cost function as the fitness function. We evaluated the efficacy of the proposed technique by comparing the filter responses with responses of the...
Underwater image segmentation becomes a difficult and challenging task due to various perturbations present in the water. In this paper we propose a novel method for underwater image segmentation based on M-band wavelet transform and human psychovisual phenomenon(HVS). The M-band wavelet transform captures the texture of the underwater image by decomposing the image into sub bands with different scales...
Facial analysis in videos and images has been a relatively tough task for machine learning models. Recent use of deep learning approaches has demonstrated substantial improvement in results and reliability and can be used for problems such as face recognition, emotion recognition and emotion reaction prediction. In the case of emotion reaction, relevant information of emotions in individual frames...
The paper proposes a new approach to mode human working memory using EEG-induced fuzzy associativi memory and attempts to recover the encoded memor information from partially supplied instances during memor recall tasks. Experiments are performed to obtain EEG feature from the temporal lobe, representing working memory input an(pre-frontal lobe, representing the working memory outpu during memory...
The bioelectric signals originate from different organs of human body. Out of these ECG is one of the important bioelectric signals for our concern and for investigation of various heart ailments. ECG demonstrates graphical rendition of activity of the heart and by analyzing the ECG signal several heart diseases can be identified. For analysis of ECG signal, it must be noise free. There are several...
In Face recognition, a combination of neural network (NN), known as an ensemble of neural network, often outperforms individual ones. This paper is aiming to present a support vector machines (SVM)-ensemble-based efficient face recognition system. The training samples are randomly chosen by means of bootstrap technique to train the different SVM independently. These SVM's are combined together to...
This paper focuses on open set text independent speaker identification which is one of the most challenging subclass of Speaker recognition. The initial stage is similar to closed set speaker identification, where the distortion for each test voice against all train voices are determined. The distortions after normalization is set as decision criteria which eases the process of thresholding. The threshold...
In this paper, we have employed a machine learning approach for automatic classification of healthy and pathological gait signals and subsequent identification of the neurological disorder in the pathological gait signals. The machine learning algorithm we have proposed is the Logit model of the Logical Regression Classifier. As the process of walking is automatically controlled by the nervous system...
Paper presents a brief idea about drones, their technology, the process to make that technology energy-efficient and can be used for different purposes. Major aim of our prototype is for surveillance of terrifying notions and hidden activities which can be captured in the camera which gives us an aerial view of objects. Our major aim is to increase the flight time of the drone as much as possible...
Presented concise implements improved real coded genetic algorithmic technique (IRECGA) for determining optimalized operative planning (short spell, hour based) in a hydel-thermic network. The network comprises of hydel and thermic producers. Hydel producers are incorporated with back to back connected multiple tanks. Restricted operating sections possess boundings for hydel producers while the loading...
The number of mobile users have grown tremendously in the past few years. Nowadays, mobile phones are not just used for the purpose of making calls, rather they have become an important modern gadget which helps people in various aspects of their lives. With this increase, a lot of time on mobile is spent in browsing the internet websites through mobile web browsers. Hence, mobile web browsers actually...
Fractality and stationarity of a wireless network has been investigated in this paper by revealing the scaling pattern and nature of frequency fluctuation of the two vital parameters, the daily peak hour call arrival number and daily call drop number (03. 03.2004 to 31.10.2013), of a sub-urban local mobile switching centre, using some statistical methodologies. To have the knowledge about the fractality,...
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