MOHIT KUMAR - Academia.edu (original) (raw)

Papers by MOHIT KUMAR

Sensors

Cardiac arrhythmia is a deadly disease that threatens the lives of millions of people, which show... more Cardiac arrhythmia is a deadly disease that threatens the lives of millions of people, which shows the need for earlier detection and classification. An abnormal signal in the heart causing arrhythmia can be detected at an earlier stage when the health data from the patient are monitored using IoT technology. Arrhythmias may suddenly lead to death and the classification of arrhythmias is considered a complicated process. In this research, an effective classification model for the classification of heart disease is developed using flamingo optimization. Initially, the ECG signal from the heart is collected and then it is subjected to the preprocessing stage; to detect and control the electrical activity of the heart, the electrocardiogram (ECG) is used. The input signals collected using IoT nodes are collectively presented in the base station for the classification using flamingo-optimization-based deep convolutional networks, which effectively predict the disease. With the aid of co...

Electronics

Advancements in Healthcare Internet of Things (H-IoT) systems have created new opportunities and ... more Advancements in Healthcare Internet of Things (H-IoT) systems have created new opportunities and solutions for healthcare services, including the remote treatment and monitoring of patients. In addition, the security and privacy of personal health data must be ensured during data transfer. Security breaches in H-IoT can have serious safety and legal implications. This comprehensive review provides insights about secured data accession by employing cryptographic platforms such as H-IoT in big data, H-IoT in blockchain, H-IoT in machine learning and deep learning, H-IoT in edge computing, and H-IoT in software-defined networks. With this information, this paper reveals solutions to mitigate threats caused by different kinds of attacks. The prevailing challenges in H-IoT systems, including security and scalability challenges, real-time operating challenges, resource constraints, latency, and power consumption challenges are also addressed. We also discuss in detail the current trends i...

Soft Computing: Theories and Applications

We describe a learning-based system for generating reports based on a mix of text and event data.... more We describe a learning-based system for generating reports based on a mix of text and event data. The system incorporates several stages of processing, including aggregation, template-filling and importance ranking. Aggregators and templates were based on a corpus of reports evaluated by human judges. Importance and granularity were learned from this corpus as well. We find that high-scoring reports (with a recall of 0.89) can be reliably produced using this procedure given a set of oracle features. The report drafting system is part of a learning cognitive assistant RADAR, and is used to describe its performance.

Coastal zone is the place where atmosphere, lithosphere and hydrosphere interact. It includes uni... more Coastal zone is the place where atmosphere, lithosphere and hydrosphere interact. It includes unique features like mangrove forests, mudflats, coral-reefs, algae, creeks, lagoons, beaches and some man-made features like salt-pans, industries, agricultural area, plantations and ports. Remote-sensing of coastal zone is a cost-effective way of monitoring coastal regions which are inaccessible along certain stretches. Combining both optical and SAR data offers an attractive way to study coastal zone by exploiting unique characteristics of different regions of electromagnetic spectrum. In the present study, Radarsat-1 data was combined with IRS-1D LISS III and Landsat 7 ETM+ data of similar time frame, covering a part of Gulf of Kachchh, Gujarat, India. The objective was to evaluate the potential of SAR data, in conjunction with optical data, for better discrimination of coastal features. The backscattering received from different features being imaged in a microwave remote sensing syste...

Endocrine Abstracts, 2015

2007 IEEE International Conference on Automation Science and Engineering, 2007

Abstract We consider the problem of modeling the biological activity of inhibitors (belonging to ... more Abstract We consider the problem of modeling the biological activity of inhibitors (belonging to the paullone family) for Glycogen Synthase Kinase-3 (GSK-3). The development of a nonlinear model that establishes the quantitative structure-activity relationship (QSAR) ...

IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 2015

Advanced computing systems embed spintronic devices to improve the leakage performance of convent... more Advanced computing systems embed spintronic devices to improve the leakage performance of conventional CMOS systems. High speed, low power, and infinite endurance are important properties of magnetic tunnel junction (MTJ), a spintronic device, which assures its use in memories and logic circuits. This paper presents a PentaMTJ-based logic gate, which provides easy cascading, self-referencing, less voltage headroom problem in precharge sense amplifier and low area overhead contrary to existing MTJ-based gates. PentaMTJ is used here because it provides guaranteed disturbance free reading and increased tolerance to process variations along with compatibility with CMOS process. The logic gate is validated by simulation at the 45-nm technology node using a VerilogA model of the PentaMTJ.

Molecular microbiology, 2012

Diverse families of molecular chaperones cooperate to effect protein homeostasis, but the extent ... more Diverse families of molecular chaperones cooperate to effect protein homeostasis, but the extent and dynamics of direct interactions among chaperone systems within cells remain little studied. Here we used fluorescence resonance energy transfer to systematically map the network of pairwise interactions among the major Escherichia coli chaperones. We demonstrate that in most cases functional cooperation between chaperones within and across families involves physical complex formation, which pre-exists even in the absence of folding substrates. The observed connectivity of the overall chaperone network confirms its partitioning into sub-networks that are responsible for de novo protein folding and maturation and for refolding/disaggregation of misfolded proteins, respectively, and are linked by the Hsp70 system. We further followed heat-induced changes in the cellular chaperone network, revealing two distinct pathways that process heat-denatured substrates. Our data suggest that prote...

VLSI Design 2000. Wireless and Digital Imaging in the Millennium. Proceedings of 13th International Conference on VLSI Design

An important aspect of hardware-software co-design is partitioning of tasks to be scheduled on th... more An important aspect of hardware-software co-design is partitioning of tasks to be scheduled on the hardware and software resources. Existing approaches separate partitioning and scheduling in two steps. Since partitioning solutions affect scheduling results and vice versa, the existing sequential approaches may lead to sub-optimal results. In this paper, we present an integrated hardware/software scheduling, partitioning and binding strategy. We use dynamic programming techniques to devise an optimal solution for partitioning of a given concurrent task graph, which models the co-design problem, for execution on one software (single CPU) and several hardware resources (multiple FPGA's), with the objective of minimizing the total execution time. Our implementation shows that we can solve problem instances where the task graph has 40 nodes and 600 edges in less than a second.

2012 1st International Conference on Recent Advances in Information Technology (RAIT), 2012

Now a days, hi-tech secure products need more services and more security. Furthermore, the corres... more Now a days, hi-tech secure products need more services and more security. Furthermore, the corresponding market is now oriented towards more flexibility. In this paper, we have implemented Advanced Encryption Algorithm for ARM based platforms. The Advanced Encryption Standard (AES) contest, started by the U.S. National Institute of Standards and Technology (NIST), saw the Rijndael algorithm as its winner. AES has a fixed block size of 128 bits and a key size of 128, 192 or 256 bits, whereas Rijndael can be specified with key and block sizes in any multiple of 32 bits, with a minimum of 128 bits and a maximum of 256 bits. Although the AES is fully defined in terms of functionality, it requires best exploitation of architectural parameters in order to reach the optimum performance on specific architectures. Our work concentrates on ARM cores widely used in the embedded industry. Most promising implementation choices for the common ARM Instruction Set Architecture (ISA) are identified, and a new implementation for the linear mixing layer is proposed. The performance improvement over current implementations is demonstrated by a case study on the Intel Strong ARM SA-1110 Microprocessor

2011 IEEE International Conference on Automation Science and Engineering, 2011

The combination of fuzzy models could be an ef- fective way to improve system performance. This t... more The combination of fuzzy models could be an ef- fective way to improve system performance. This text proposes a fuzzy approach to the combination of fuzzy models, i.e., the different fuzzy models are combined using a fuzzy rule- based model. The combining fuzzy model is identified using an algorithm that is stable towards disturbances. The combination approach provides simultaneously the

Process Biochemistry, 2011

Quantitative differentiation of the inoculated Promicromonospora sp MARS and indigenous microbial... more Quantitative differentiation of the inoculated Promicromonospora sp MARS and indigenous microbial flora of rice straw is described using ERIC-PCR during the production of xylanase in non sterile solid state fermentation (NS-SSF) to reduce the cost of enzyme production. Under non-sterile solid state fermentation with rice straw, Promicromonospora sp MARS produced 85.0 IU/g of xylanase. DNA fingerprints of unknown bacterial isolates obtained on BHA + xylan exactly matched with that of Promicromonospora sp MARS. Using PCR based enumeration; population of Promicromonospora sp MARS was 67.5 × 10 5 cfu/g after 48 h which increased to 23 × 10 6 cfu/g after 96 h which coincided with the maximum xylanase activity as compared to 14 × 10 4 cfu/g in control after 96 h. Under submerged fermentation (SmF), after 48 h, Promicromonospora sp MARS produced maximum xylanase (42.2 IU/ml) using rice straw as substrate followed by 19.9 and 20.4 IU/ml when Promicromonospora sp MARS was grown on rice husk and wheat straw, respectively. Optimum pH and temperature of the crude xylanase were 8.0 and 65 • C. Crude enzyme was 95% stable for 180 min of incubation at pH 8.0 and was stable at 65 • C for 240 min.

Fuzzy Optimization and Decision Making, 2003

This study considers the problem of Robust Fuzzy approximation of a time-varying nonlinear proces... more This study considers the problem of Robust Fuzzy approximation of a time-varying nonlinear process in the presence of uncertainties in the identification data using a Sugeno Fuzzy System while maintaining the interpretability of the fuzzy model during identification. A recursive procedure for the estimation of fuzzy parameters is proposed based on solving local optimization problem that attempt to minimize the

Letters in Applied Microbiology, 2014

Proliferation of the inoculated Pseudomonas sp. S1 is quantitatively evaluated using ERIC-PCR dur... more Proliferation of the inoculated Pseudomonas sp. S1 is quantitatively evaluated using ERIC-PCR during the production of lipase in nonsterile solid state fermentation an approach to reduce the cost of enzyme production. Under nonsterile solid state fermentation with olive oil cake, Pseudomonas sp. S1 produced 57·9 IU g(-1) of lipase. DNA fingerprints of unknown bacterial isolates obtained on Bushnell Haas agar (BHA) + tributyrin exactly matched with that of Pseudomonas sp. S1. Using PCR-based enumeration, population of Pseudomonas sp. S1 was proliferated from 7·6 × 10(4) CFU g(-1) after 24 h to 4·6 × 10(8) CFU g(-1) after 96 h, which tallied with the maximum lipase activity as compared to control. Under submerged fermentation (SmF), Pseudomonas sp. S1 produced maximum lipase (49 IU ml(-1) ) using olive oil as substrate, while lipase production was 9·754 IU ml(-1) when Pseudomonas sp. S1 was grown on tributyrin. Optimum pH and temperature of the crude lipase was 7·0 and 50°C. Crude enzyme activity was 71·2% stable at 50°C for 360 min. Pseudomonas sp. S1 lipase was also stable in methanol showing 91·6% activity in the presence of 15% methanol, whereas 75·5 and 51·1% of activity were retained in the presence of 20 and 30% methanol, respectively. Thus, lipase produced by Pseudomonas sp. S1 is suitable for the production of biodiesel as well as treatment of oily waste water. This study presents the first report on the production of thermophilic organic solvent tolerant lipase using agro-industry waste in nonsterile solid state fermentation. Positive correlation between survival of Pseudomonas sp. S1 and lipase production under nonsterile solid state fermentation was established, which may emphasize the need to combine molecular tools and solid state fermentation in future studies. Our study brings new insights into the lipase production in cost-effective manner, which is an industrially relevant approach.

Journal of Surgical Research, 2008

Journal of Molecular and Cellular Cardiology, 2014

Rationale-Up-regulation and activation of PYK2, a member of the FAK family of protein tyrosine ki... more Rationale-Up-regulation and activation of PYK2, a member of the FAK family of protein tyrosine kinases, is involved in the pathogenesis of left ventricular (LV) remodeling and heart failure (HF). PYK2 activation can be prevented by CRNK, the C-terminal domain of PYK2. We previously demonstrated that adenoviral-mediated CRNK gene transfer improved survival and LV function, and slowed LV remodeling in a rat model of coronary artery ligation-induced HF. Objective-We now interrogate whether cardiomyocyte-specific, transgenic CRNK expression prevents LV remodeling and HF in a mouse model of dilated cardiomyopathy (DCM) caused by constitutively active Protein Kinase Cε (caPKCε). Methods and Results-Transgenic (TG; FVB/N background) mice were engineered to express rat CRNK under control of the α-myosin heavy chain promoter, and crossed with FVB/N mice with cardiomyocyte-specific expression of caPKCε to create double TG mice. LV structure,

IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics), 2006

This study is concerned with the adaptive learning of an interpretable Sugeno-type fuzzy inferenc... more This study is concerned with the adaptive learning of an interpretable Sugeno-type fuzzy inference system, in a deterministic framework, in the presence of data uncertainties and modeling errors. The authors explore the use of Hinfinity estimation theory and least squares estimation for online learning of membership functions and consequent parameters without making any assumption and requiring a priori knowledge of upper bounds, statistics, and distribution of data uncertainties and modeling errors. The issues of data uncertainties, modeling errors, and time variations have been considered mathematically in a sensible way. The proposed robust approach to the adaptive learning of fuzzy models has been illustrated through the examples of adaptive system identification, time-series prediction, and estimation of an uncertain process.

IEEE Transactions on Fuzzy Systems, 2007

Mental stress is accompanied by dynamic changes in autonomic nervous system (ANS) activity. Heart... more Mental stress is accompanied by dynamic changes in autonomic nervous system (ANS) activity. Heart rate variability (HRV) analysis is a popular tool for assessing the activities of autonomic nervous system. This paper presents a novel method of HRV analysis for mental stress assessment using fuzzy clustering and robust identification techniques. The approach consists of 1) online monitoring of heart rate

IEEE Transactions on Fuzzy Systems, 2013

ABSTRACT Stationary fuzzy Fokker-Planck learning (SFFPL) is a recently introduced computational m... more ABSTRACT Stationary fuzzy Fokker-Planck learning (SFFPL) is a recently introduced computational method that applies fuzzy modeling to solve optimization problems. This study develops a concept of applying SFFPL-based computations for nonlinear constrained optimization. We consider the development of SFFPL-based optimization algorithms which do not require derivatives of the objective function and of the constraints. The sequential penalty approach was used to handle the inequality constraints. It was proved under some standard assumptions that the carefully designed SFFPL-based algorithms converge asymptotically to the stationary points. The convergence proofs follow a simple mathematical approach and invoke mean-value theorem. The algorithms were evaluated on the test problems with the number of variables up to 50. The performance comparison of the proposed algorithms with some of the standard optimization algorithms further justifies our approach. The SFFPL-based optimization approach, due to its novelty, could possibly be extended to several research directions.