Dr. Mamta C. Padole

Dr. Mamta C. Padole
  • PhD. in Computer Science and Engineering
  • Professor (Associate) at Maharaja Sayajirao University of Baroda

About

44
Publications
44,522
Reads
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234
Citations
Introduction
Currently working on Distributed Systems, Fog Computing and IoT, BioInformatics Pattern Matching Using Signal Processing for DNA Data
Current institution
Maharaja Sayajirao University of Baroda
Current position
  • Professor (Associate)
Additional affiliations
July 2009 - present
Maharaja Sayajirao University of Baroda
Position
  • Professor (Associate)
Description
  • Research, Academic and Administrative Responsibilities
June 1999 - present
Maharaja Sayajirao University of Baroda
Position
  • Professor (Associate)
June 1999 - July 2009
Maharaja Sayajirao University of Baroda
Position
  • Assistant Professor (Lecturer)
Description
  • Academic Responsibilities
Education
May 2007 - February 2015
Maharaja Sayajirao University of Baroda
Field of study
  • Computer Science and Engineering

Publications

Publications (44)
Article
Full-text available
Short Tandem Repeats (STRs) in DNA sequences are associated with regulatory mechanisms. Existing tools for recognizing STRs, involve computational intensive string processing methods expecting parameters like pattern, pattern size or reference. This paper proposes ab initio, signal processing approach involving Wavelet Transformations, for detectin...
Article
Full-text available
DNA sequencing generates a large number of reads of lengths varying from 100bp to 1000bp, when sequenced using different methods of sequencing. These reads are further assembled to form contigs which are useful in annotation. The library generation using different amplification technique is involved in DNA sequencing process, which generates severa...
Article
Full-text available
The technologically breakthrough in DNA sequencing process, and the current trend of DNA re-sequencing, both, generate high-throughput data, also referred to as Big Data. This Big Data demands increased computation power and storage space. Hence, the big data needs to be stored, retrieved and processed efficiently. The paper discusses the use of Di...
Article
Full-text available
Achieving precise time synchronization among wireless sensor devices within Internet-of-Things (IoT) networks poses a significant challenge. Various approaches have been proposed to efficiently synchronize time in wireless sensor networks (WSNs) used in the IoT. However, these solutions typically involve extensive message exchanges to achieve synch...
Article
Full-text available
The IoT-sensed data is normally processed by Cloud Servers (CSs), but to reduce the cloud load and to avert network bandwidth wastage, Fog Computing (FC) is used. FC storages are LAN-based and they are not permanent. To store the data permanently, FNs (Fog Node) and IoT devices are making use of CSs. In the current scenario, we have IoT devices, FN...
Chapter
IoT is a network of things or objects that can share information using the Internet. IoT is a set of things connected via the Internet to communicate with each other. As part of wireless sensor network, a set of sensor nodes are known as motes. To accomplish a specific task, different types of motes are existing. In the era of IoT, a wide variety o...
Chapter
Big Data processing and analysis requires tremendous processing capability. Distributed computing brings many commodity systems under the common platform to answer the need for Big Data processing and analysis. Apache Hadoop is the most suitable set of tools for Big Data storage, processing, and analysis. But Hadoop found to be inefficient when it...
Article
Full-text available
A patient's life can be saved if it is possible to make quicker decisions based on faster processing of real-time health care data, such as ECG processing. To achieve faster decision making, contemporary health care applications use cloud computing for such data. When cloud computing is used, data transmission deferrals may cause delays in the deci...
Article
Full-text available
Internet of Things (IoT) and Cloud computing technologies are together serving different Health Care applications. These applications suffer from slower decision-making due to network delays, less availability of bandwidth, transmission delays, processing delays, and data de-noising. To avoid this, Fog computing can be applied as a middle layer bet...
Article
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This paper analyzes the emission rates of carbon dioxide in the computing field by identifying emission sources. This study is done to highlight the breakdown of the carbon footprint of computing devices, thus suggesting tips to reduce the emission rate. CO2 Emission rates are calculated for devices such as PC, Laptops, Mobile Network Infrastructur...
Article
Full-text available
Internet of Things (IoT) generates a myriad amount of data, which is sent over the Cloud computing infrastructure for analytics and Business Intelligence. This application scenario suffers network delays, transmission delays and delays in decision making. Due to these drawbacks, the Cloud-based IoT infrastructure is not suitable for time-critical h...
Article
Full-text available
Electrocardiogram (ECG) signals are the best way to monitor the functionality and health of the cardiovascular system and also identify ailments related to it. Abnormal heartbeats are reflected in the ECG pattern and such abnormal signals are called as Arrhythmias. Automated classification and identification of the ECG arrhythmia signal that provid...
Article
Full-text available
Internet of Things (IoT) and Cloud Computing have enabled real time decision making in systems like irrigation system, weather monitoring systems, smart home, driver-less vehicles etc. The cloud infrastructure has great computation power but involves high network latency. Thus, is unsuitable for critical health care applications like ECG monitoring...
Article
Full-text available
Big Data Analytics demands huge processing power. Distributed computing seems to be a viable solution with the usage of commodity computers. But, processing big data optimally, on distributed systems poses the number of challenges, such as seamlessly integrating different resources of distributed systems. Hadoop provides this ease and hence is one...
Chapter
Full-text available
In order to accelerate Hadoop performance, it is important to efficiently handle the data and job placement. More specifically, we focus on to accelerate the performance of heterogeneous distributed cluster as Hadoop default has limited performance outcome for data-intensive jobs. To improve the Hadoop performance, it is important to consider the h...
Article
Full-text available
Genomics and bioinformatics have grown as an independent field and are an area of active research currently. In this work, we first discuss the idea of the genome, its importance and wide-ranging applications in healthcare and medicine. We then give a brief overview of the various file formats used presently to store and manipulate genomic data alo...
Article
Full-text available
: Each and every muscular movement in the body is induced by electrical signals. These electrical signals are in mV and they are very sensitive to noise factors like electrical gadgets placed nearby, different movements, earthing, etc. If such signals are traced carefully, they can be used to accomplish multiple tasks. Such signals are called Myogr...
Chapter
Full-text available
Big Data processing and analysis requires tremendous processing capability. Distributed computing brings many commodity systems under the common platform to answer the need for Big Data processing and analysis. Apache Hadoop is the most suitable set of tools for Big Data storage, processing, and analysis. But Hadoop found to be inefficient when it...
Article
Full-text available
For Big Data processing, analyzing and storing Apache Hadoop is widely adopted as a framework. Hadoop facilitates processing through MapReduce, analyzing using Apache Spark and storage using the Hadoop Distributed File System (HDFS). Hadoop is popular due to its wide applicability and easy to run on commodity hardware functionality. But the install...
Chapter
Full-text available
Applications involving big data need enormous memory space to load the data and high processing power to execute them. Individually, the traditional computing systems are not sufficient to execute these big data applications, but cumulatively they can be used to meet the needs. This cumulative power for processing big data applications can be achie...
Chapter
Nowadays, Internet of Things (IoT) is a new standard in the area of smart technologies. IoT comprises various kinds of objects, machines, and humans that can interact with each other using various communication technologies such as Wi-Fi, RFID (Radio-Frequency Identification), Bluetooth, NFC (Near-Field Communication), etc. IoT devices need interop...
Chapter
Full-text available
Living being remains alive, only, as long as its heart is functional. Hence, proper functioning of Heart is essential. The functioning of Heart can be checked by continuous monitoring of heartbeats through Electrocardiogram (ECG). Irregularity in the rhythm of the heartbeat results in arrhythmia. Arrhythmia can be classified based on the origins th...
Chapter
Full-text available
It is the need of an era to store and process big data and its applications. To process these applications, it is inevitable to use heterogeneous distributed computing systems (HeDCS). The heterogeneous distributed systems facilitate scalability, an essential characteristic for big data processing. However, to implement the scalable model, it is es...
Article
Full-text available
The current version of Internet Protocol (IPv4) has not been substantially changed in the past 25 years. IPv4 has proven to be robust and easily implemented. In the early stage, the deployment of IPv6 is prepared and begun on the IPv4-based network. In the intermediate stage, IPv4 and IPv6 coexist. In the later stage, IPv6 plays a leading role on t...
Conference Paper
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Article
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Encryption, itself doesn’t prevent interception, but denies the message content to the interceptor. For technical reasons, an encryption scheme usually uses a pseudo-random encryption key generated by an algorithm. It is impossible to decrypt the message without possessing the key, but, for a well-designed encryption scheme, large computational res...
Article
Thecurrent version of Internet Protocol (IPv4) has not been substantially changed in the past 25 years. IPv4 has proven to be robust and easily implemented. In the early stage, the deployment of IPv6 is prepared and begun on the IPv4-based network. In the intermediate stage, IPv4 and IPv6 coexist. In the later stage, IPv6 plays a leading role on th...
Article
Full-text available
Due to the increase in illegitimate use of services, offered by various organizations, there needs to be a method in order to confine it from happening. Therefore CAPTCHA came into prospect in order to control this course of action. In this paper, the role of CAPTCHA in a lucid manner is represented. Different types of CAPTCHAs exist today, startin...
Article
Full-text available
Pyrosequencing technique generates a large number of short reads of length 300bp to 500bp. These reads are further assembled to form contigs and scaffolds which are useful in annotation. The pyrosequencing technique, during library generation, through emulsion PCR, generates several artificial duplicate reads, which are redundant. These redundant r...
Conference Paper
Full-text available
Conference Paper
Contemporary computers are unimaginable without Operating Systems (OS). Most of the development in Information Technology is based on the development of Operating System and more appropriately, due to the efficient and optimized use of resources by current day Operating System. But, to design & implement the Operating System efficiently, one needs...
Conference Paper
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Conference Paper
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