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Real-time detection of QRS complexes is quintessential for continuous electrocardiograph (ECG) monitoring. In this paper, a real-time ECG peaks detection algorithm is proposed. The paper proposes a new genetic algorithm (GA) based adaptive filter (GA-AF) and an effective real-time peak detection algorithm, which is coupled with search-back mechanism for missed peaks. The proposed methodology is tested...
The aim of this paper is to propose a fault-tolerant smart system which can render, track and monitor the process of attendance of students. A smart attendance system is refined in a systematic manner where the students enter the lecture hall with an android device which possesses a beacon compatible mobile app. The main purpose of this system is to minimize the power consumption of Bluetooth using...
Competition is always a good thing in IT world. It forces us to do our best. Nowadays, in the area of cloud computing, it is at the peak between the larger number of cloud users and cloud providers who view for the opportunity to use and provide services. Competition among cloud users means the price of cloud services never fall very low and between cloud providers mean the price of services never...
QRS detection is becoming more popular in detecting the heart beat rate. The improvement is done by using the new filter. This research work focus on providing better performance in heart beat detection algorithm by using hybrid filter (improving MaMeMi filter using the first order derivative filter). An enhanced algorithm has been proposed to enhance the performance of QRS detection. Different parameters...
In this paper, we have employed learned dictionaries to compute sparse representation of speech utterances, which will be used to reduce the footprint of unit selection based speech synthesis (USS) systems. Speech database labeled at phoneme level is used to obtain multiple examples of the same phoneme, and all the examples (of each phoneme) are then used to learn a single overcomplete dictionary...
Emotions in human speech are short lived. In an emotive utterance, the emotive gestures produced due to the emotive state of the speaker persists only to a shorter duration. In this study, the regions of an utterance that are highly influenced by the emotive state of the speaker are detected. These regions are labeled as emotionally significant regions. Data from the detected emotionally significant...
Query-by-example spoken term detection (QbE-STD) refers to the task of determining the subsequence of a reference which matches with a query, where both the query and the reference are in audio format. Dynamic time warping (DTW) based techniques are explored to match the two sequences with different lengths in an unsupervised manner. In this paper, a completely unsupervised approach based on Segmental...
Due to increase of unstructured data most of the companies now shifting towards NoSQL, but still most of the data is perfectly relational. Till date the modeling of various software functionality can only be efficiently done using relational databases. Storing different parts of data in SQL and NoSQL is very cumbersome and requires lot of manual work to manage multiple data sources. Hence, a theoretical...
In the age of internet, when data production has gone off-bounds, organizations are facing a tough challenge in terms of processing, analyzing and storing big data. The major drawback with this data is that it is not only being created at a lightning fast pace but it is also unstructured i.e. does not have a fixed schema. Moreover it is arising from disparate and discrete sources such as the social...
In this paper, the non-uniform duration modification is exploited along with other prosody features for neutral speech to anger speech conversion. The non-uniform duration modification method modifies the durations of vowel and pause segments by different modification factors. Vowel segments are modified by factors based on their identities, and pause segments by uniform factors. Consonant and transition...
Robust syllabification of continuous speech is a vital aspect of language and speech processing systems. Syllabification of speech can be done by detecting the syllable nuclei. Syllable is the basic production unit of human speech and syllable nuclei can be attributed to high energy sonarants or resonant sounds which are relatively loud and carry a clear pitch. In this work, high spectral energy at...
Reducing latency for accessing web objects is a major challenge in Proxy Server and various techniques such as web caching and Web pre-fetching is used for it. In this paper we have integrated the approach of web caching and pre-fetching using sequential data mining techniques to enhance the proxy server's performance. The web access logs collected at squid proxy servers, can be used derive interesting...
In this paper, we are introducing speech database consists of 27 Indian languages for analyzing language specific information present in speech. In the context of Indian languages, systematic analysis of various speech features and classification models in view of automatic language identification has not performed, because of the lack of proper speech corpus covering majority of the Indian languages...
Extending commercial tools for variability management is the problem addressed in this paper. IBM Rational DOORS is a well accepted tool in the area of requirements engineering and supports an Application Programming Interface (API) called DOORS extension Language (DXL). In this contribution we present a way of extending DOORS for product line requirements engineering based on a DXL plug-in called...
In distributed system, deadlock is a common phenomenon. If a transaction requires more than one resource for its task to be accomplished, such request is called an AND model request. In this paper we have proposed a method for elimination of AND model deadlocks in distributed system. A Multi Granular Locking (MGL) technique is proposed which locks the database at various granules. This technique is...
Speech coding is one of the major degradation involved in building the speech systems in mobile environment. In this paper, we are exploring the effect of low bit rate speech coding on the accuracy of detection of epochs. Epoch is referred as the instant of significant excitation of the vocal-tract system during production of speech. Many speech applications depend on the the accurate estimation of...
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