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Medical data contain very valuable information which can save many lives if it is analyzed and utilized efficiently. Efficient analysis of this large volume of data demands the right choice of predictors and this in turn can impact the accuracy of the decision support system. Dimensionality reduction and feature subset selection are two techniques to reduce the number of features used in classification...
Machine learning and Data mining techniques are rapidly establishing themselves in medical and health care fields. This paper addresses a similar issue where the fitness of an individual can be predicted by analyzing few attributes associated with that individual. A hybrid classifier algorithm is developed by merging Decision Tree and Naïve Bayes algorithms which will classify the Fitness data set...
Dermatological diseases are the most prevalent diseases worldwide. Despite being common, its diagnosis is extremely difficult and requires extensive experience in the domain. In this research paper, we provide an approach to detect various kinds of these diseases. We use a dual stage approach which effectively combines Computer Vision and Machine Learning on clinically evaluated histopathological...
The number of crime incidents that is reported per day in India is increasing dramatically. The criminals today use various advanced technologies and commit crimes in really tactful ways. This makes crime investigation a more complicated process. Thus the police officers have to perform a lot of manual tasks to get a thread for investigation. This paper deals with the study of data mining based systems...
The field of Information Retrieval plays an important role in searching on the Internet. Most of the information retrieval systems are limited to the query processing based on keywords. In information retrieval system the matching of the query against a set of text record is the core of the system. Retrieval of the relevant natural language text document is of more challenge. Today's most search engines...
Query by humming (QBH) is a method of searching for a songs in a multimedia database system that contains the melody descriptions of songs. The database of songs can be searched by hummed queries. The user hums a melody into a microphone that is connected to any handheld device and the QBH system searches the database of songs which are similar to the input query and returns the result to the user...
An up-to-date comparison of state-of-the-art low-level color and texture feature extraction methods, for the purpose of content-based image retrieval (CBIR) is presented in this paper. The CBIR problem is motivated by the need to search the exponentially increasing space of image and video databases efficiently and effectively. We implement and compare color and texture feature extraction algorithms...
In this paper, a three tier strategy is suggested to recognize the hand-printed characters of Devanagari script. In primary and secondary stage classification, the structural properties of the script are exploited to avoid classification error. The results of all the three stages are reported on two classifiers i.e. MLP and SVM and the results achieved with the later are very good. The performance...
The scope of the paper is to investigate the design of an ultraviolet sterilization unit developed to work in conjunction with a fluid dispenser for dispensing fluids in measured quantities periodically. Common problems associated with contamination of fluids in these dispensers have been carefully investigated to qualitatively document the requirements of the system. We have designed a protocol to...
In this paper, we propose a framework of general genre (e.g., action, comedy, drama, documentary, musical, etc...) movie video abstraction scheme for embedded devices based on pure audio. The proposed algorithm does chaptering of multi-genre movie videos by detecting silence, environmental noise, pure speech, music (pure instrumental music and music with vocals, i.e., songs), and speech with back...
There are available several watermarking techniques used for data security. Digital media normally assures fairly high quality, nevertheless can be easily reproduced in a perfect form. This perfect reproducibility takes an advantage from certain point of view, while it produces an essential disadvantage, since digital media is frequently copied illegally. A solution of this problem is to embed digital...
In this paper we present a distortionless data hiding technique based on wavelet-like transform, known as Slantlet Transform (SLT). The proposed algorithm first encodes the original message using the encoder, T-codes. T-codes have shown to be more robust than the best known variable-length codes, Huffman codes. T-codes have a well-explained resyhchronization mechanism which leads to fast and reliable...
In this paper, we discuss a novel priority assignment and packetization scheme to transport H.264/AVC video packets over wireless networks. Specifically, we discuss a comprehensive packet priority assignment scheme for unequal error protection, followed by the use of adaptive network abstraction layer unit (NALU) sizes and NALU fragmentation schemes. These schemes use the standard-compliant decoder...
In this paper, a stereo framework for a robust real time localization of objects using networkpsilas camera pairs is presented. The stereo system contains a combination of static and pan-tilt-zoom (PTZ) cameras instead of traditional dual head mounted cameras. The proposed novelty consists in applying stereo vision to heterogeneous cameras belonging to a video-surveillance network. First, a look-up-table...
Load balancing in parallel master-slave implementations on heterogeneous computing clusters is a pressing research problem. Proper load balancing can lead to dramatic speedups in program run times. This paper introduces a novel adaptive fuzzy load balancer which automatically senses cluster state through measurements of node evaluation times and network delays. Measured data are collected within a...
The Bluetooth-kit (BT-Kit) and microprocessor controlled device/appliance based automation are restricted to less flexible and dedicated control. This paper presents a digital method for controlling these devices in a form that is very flexible and can be used with Bluetooth, microprocessor, PC enabled or otherwise automated and smart homes and industries.
DSM explicitly refers to all those activities that involve deliberate intervention by the utility in the marketplace so as to alter the consumer's load profile. Demand side management has been identified as a potent tool to address the peak energy and power deficit in India which stands at 9% and 15.2% respectively. This paper discusses the various demand side management initiatives and policy measures...
This paper identifies a new mechanism for amplification of stochastic disturbances in channel flows of strongly elastic polymer solutions. For streamwise constant flows with high elasticity numbers mu and non-vanishing Reynolds numbers Re, the O(muRe3) scaling of the variance amplification is established using singular perturbations techniques. This demonstrates that large variances can be maintained...
We have designed a high resolution microseismometer by combining a low-resonant-frequency, high-quality-factor suspension with a sensitive lateral capacitive transducer under electromagnetic feedback control. It has been fabricated and tested to demonstrate for the first time a micromachined seismometer capable of resolving the Earth's ambient seismicity and with the best acceleration resolution of...
Landmines are significant barrier to financial, economic & social development in various parts of the world. The demand of dependable, trustworthy, intelligent diagnostic systems in the field of landmines detection has been increasing rapidly. Metal detectors used in mine decontamination, cannot differentiate a mine from metallic debris where the soil contains large quantities of metal scrap &...
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