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Papers by jyoti yadav

International Journal of Current Microbiology and Applied Sciences, 2017

$Research paper thumbnail of Modified fractional order IMC design based drug scheduling for cancer treatment$

Computers in Biology and Medicine, 2019

This paper aims to improve chemotherapy drug(s) scheduling of the drug dose injected into a patie... more This paper aims to improve chemotherapy drug(s) scheduling of the drug dose injected into a patient. The existing practice has been established on experiments performed during the drug development process. In general, chemotherapeutic drugs are highly toxic in nature and directly affect the probability of a patient's survival. Therefore, a modified fractional order internal model control (MFOIMC) scheme with a minimal number of design parameters is proposed for effective drug scheduling. The proposed control scheme is a combination of fractional calculus and IMC. The fractional order IMC (FOIMC) is modified by incorporating an extra control loop with a proportional transfer function. Further, IPD and IMC control techniques are also designed for comparative analysis. The dragon fly algorithm (DA) is employed to optimize the parameters of the controller. Results show that the proposed control scheme provides a continuous and precise chemotherapeutic drug dose to the patient on a daily basis. It is also shown that MFOIMC improves IAE by 34% and 32% in comparison to IMC and FOIMC, respectively, which proves its superiority over other controllers.

Journal of Extension Systems, 2016

In order to study the structure and functioning of SHGs, a structured interview schedule was deve... more In order to study the structure and functioning of SHGs, a structured interview schedule was developed. The data were collected from 90 respondents drawn from 30 SHGs. The study findings revealed that most of the SHGs were functioning for the last three to six years, have 10 members, home as the place of meetings, conducted weekly meetings, penalty was not imposed on absentee members, no chronic absentee in their groups, monthly saving D 100, and 7.15 average milk yield per day. There has always been predetermined schedule for holding the meetings and proceedings were recorded by an office bearer followed collective decision making during meeting itself. Decision making power, however, was vested in the office bearers. SHGs maintain various types of records. Three types of leadership position were normallyfound, i.e. President, Secretary, and Treasurer.

2015 2nd International Conference on Signal Processing and Integrated Networks (SPIN), 2015

ABSTRACT Emotion Detection has been a topic of great research in the last few decades. It plays a... more ABSTRACT Emotion Detection has been a topic of great research in the last few decades. It plays a very important role in establishing human computer interface. We as humans are able to understand the emotions of other person but it is literally impossible for the computer to do so. The present work is to achieve the same as accurately as possible. Emotion detection can be done either through text, speech, facial expression or gesture. In the present work the emotions are detected using Electroencephalography (EEG) signals. EEG records the electrical activity within the neurons of the brain. The main advantage of using EEG signals is that it detects real emotions arising straight from our mind and ignores external features like facial expressions or gesture. Hence EEG can act as real indicator of the emotion depicted by the subject. We have employed Independent Component Analysis (ICA) and Machine Learning techniques such as Support Vector Machine (SVM) and Linear Discriminant Analysis (LDA) to classify EEG signals into seven different emotions. The accuracy achieved with both the algorithms is computed and compared. We are able to recognize seven emotions using the two algorithms, SVM and LDA with an average overall accuracy of 74.13% and 66.50% respectively. This accuracy was achieved after performing a 4-fold crossvalidation. Future applications of emotion detection includes neuro-marketing, market survey, EEG based music therapy and music player.

Biomedical Signal Processing and Control, 2015

Diabetes is a chronic metabolic disorder which can lead to severe complications and affect all vi... more Diabetes is a chronic metabolic disorder which can lead to severe complications and affect all vital organs. The occurrence of complications due to diabetes can be prevented by regular monitoring and maintaining the blood glucose level in the normal range. Most of the commercially available devices for glucose measurement are invasive or minimally invasive. Invasive devices used for blood glucose monitoring are inconvenient and painful whereas minimal invasive devices have limited time span and stability. Thus, there is a need of an economic, compact, painless and convenient non-invasive device which can promote frequent blood testing which help in control of blood glucose level. In this paper various methods of glucose monitoring are reviewed and overall emphasis is laid on the development of NIRS (near-infrared spectroscopy) based non-invasive glucose monitoring. The motivation of this review is to demonstrate the prospects, limitations and technical challenges for development of NIRS based non-invasive blood glucose measurement system.

Proceedings of the International Symposium on Engineering under Uncertainty: Safety Assessment and Management (ISEUSAM - 2012), 2012

Information on the status and changing trends in environmental quality is necessary to formulate ... more Information on the status and changing trends in environmental quality is necessary to formulate sound public policy and efficient implementation of environmental pollution abatement programmes. In this quest, water/air quality indices are computed using US-EPA and US-NSF proposed methods for local and regional water/air quality management in many metro cities of the world. There are different types of uncertainties while adopting the procedure in vogue in the computation of these indices. However, it does not include expert’s knowledge with a view to arrive at cause–effect relationship. We believe that the development of a method to quantify association between the pollutant and air/water-borne diseases is an important step before classifying air/water quality, either in numeric or linguistic terms. There exists aleatory uncertainty in the pollution parametric data and epistemic uncertainty in describing the pollutants by the domain experts in linguistic terms such as poor, good, and very good. Successes of probability theory have high visibility. But what is not widely recognised is that these successes mask a fundamental limitation—the inability to operate on what may be called perception-based information. In this chapter, we describe the case study 1 that relates to fuzzy description of river water quality in River Ganga for bathing purpose, while case study 2 presents fuzzy description of air quality in Pune City.

2012 Annual Meeting of the North American Fuzzy Information Processing Society (NAFIPS), 2012

ABSTRACT Infrastructure development with focus on water supply system management has assumed sign... more ABSTRACT Infrastructure development with focus on water supply system management has assumed significant importance in the recent past in India, and in this endeavour attempts are being made to provide 24 hours continuous safe water supply to the consumers. The important three elements of any water supply system augmentation include: population projection, per capita water needs for full satisfaction and the financial out lay. We address, in this paper, application of fuzzy logic based to project the future water needs. Ever increasing pollution levels due to rapid urbanization and industrialization, especially in developing countries with minimal focus on adequate pollution abatement strategies, result in impairing natural environment such as river, air, land, and alike. Protection of drinking water resources for public water supplies, therefore, assumed vital significance in the context of present times. The practice in vogue of classifying water quality for variety of usage is by computing water quality indices [2]. Why compute a numeric water quality index, and then describe water quality? Why not apply describe water quality, for the defined usage, straightway in linguistic terms with some degree of certainty attached to each linguistic description? In this paper, we present two need based research studies: First case study relates to the estimation of per capita water needs for full satisfaction of the consumers in (Pimpri Chinchwad Municipal Corporation (PCMC - city with a population of 1.8 million) area, India, while the second study refers to fuzzy description of raw water quality near the intake of PCMC war treatment facility.

Tuberculosis, 2011

It is being realized that the traditional closed-door and market driven approaches for drug disco... more It is being realized that the traditional closed-door and market driven approaches for drug discovery may not be the best suited model for the diseases of the developing world such as tuberculosis and malaria, because most patients suffering from these diseases have poor paying capacity. To ensure that new drugs are created for patients suffering from these diseases, it is necessary to formulate an alternate paradigm of drug discovery process. The current model constrained by limitations for collaboration and for sharing of resources with confidentiality hampers the opportunities for bringing expertise from diverse fields. These limitations hinder the possibilities of lowering the cost of drug discovery. The Open Source Drug Discovery project initiated by Council of Scientific and Industrial Research, India has adopted an open source model to power wide participation across geographical borders. Open Source Drug Discovery emphasizes on integrative science through collaboration, open-sharing, taking up multi-faceted approaches and accruing benefits from advances on different fronts of new drug discovery. Because the open source model is based on community participation, it has the potential to self-sustain continuous development by generating storehouse of alternatives towards continued pursuit for new drug discovery. Since the inventions are community generated, the new chemical entities developed by Open Source Drug Discovery will be taken up for clinical trial in a non-exclusive manner by participation of multiple companies with majority funding from Open Source Drug Discovery. This will ensure availability of drugs through a lower cost community driven drug discovery process for diseases afflicting people with poor paying capacity. Hopefully what LINUX and World Wide Web have done for the information technology, Open Source Drug Discovery will do for drug discovery.

Journal of Intelligent Systems, 2013

With an overall objective of establishing association between air pollutants and incidence of res... more With an overall objective of establishing association between air pollutants and incidence of respiratory diseases, the environmental professionals and medical practitioners have made significant contribution, using statistical mechanics in modelling epidemiological data, population characteristics, and pollution parameters. Broadly speaking, the studies have shown that the increase in vehicular traffic has been one of the causes of respiratory diseases. However, the WHO Centre for Environment and Health, Europe in its 2005 document states: "There is little evidence for a causal relationship between asthma prevalence/incidence and air pollution in general, though the evidence is suggestive of a causal association between the prevalence/incidence of asthma symptoms and living in close proximity to traffic". Decision making process in a real world is invariably based on perceptions which are expressed in words or may be in numeric terms and not in probability terms. In the paper, we made an attempt to model the perceptions of experienced pulmonologists in arriving at their combined degree of belief/plausibility/ignorance for all the possible combinations of identified respiratory diseases, using evidence theory and fuzzy relational calculus without collecting sizeable parametric data accumulated over a period of years. Tightening pollution norms by the regulatory authorities is an overall objective of the global efforts on greenhouse gases (GHS) reduction in general, and air pollution mitigation in particular. The concept of solar battery operated electric vehicles (SBOEV) for road transport is advocated, initially for two/three wheelers, and extending it to four wheelers, especially in the developing countries.

Biotechnology Journal, 2009

... against Plasmodium falci-parum. The license to commercialize the drug process has already bee... more ... against Plasmodium falci-parum. The license to commercialize the drug process has already been transferred to a Mumbai-based company Shreya Life Sciences. 3 Towards rational drug design Worldwide, several groups ...

Biotechnol. J, 2009

Skip to Main Content. Wiley Online Library will be unavailable 17 Dec from 10-13 GMT for IT maint... more Skip to Main Content. Wiley Online Library will be unavailable 17 Dec from 10-13 GMT for IT maintenance. ...

Air Quality, Atmosphere & Health, 2014

ABSTRACT Establishing cause–effect relationship between inhaling polluted air due to toxic auto e... more ABSTRACT Establishing cause–effect relationship between inhaling polluted air due to toxic auto exhaust releases and incidence of pulmonary diseases is not a trivial task. In this endeavor, epidemiological studies with air pollution parametric data have been attempted in the past using statistical technique. Earlier studies of the authors of this paper inferred that the combined belief for respiratory diseases is 0.65 for either simple bronchitis and chronic obstructive pulmonary disease or asthma or allergic rhinitis coupled with conjunctivitis (Yadav et al., Int J Intell Syst 22:9–22, 2013). The sequel demonstrates the application of the computational formalism of fuzzy inference system with a degree of match concept—a level 1 complexity in computing with words for classifying air quality straightway in linguistic term with a linguistic degree of certainty attached to each description. The exhaustive case study relates to classifying air quality in 14 cities with a total of 51 monitoring locations in Maharashtra State, India. It could be stated that straightway describing air quality in linguistic term based on the new formalism is in agreement with the linguistic classification via conventional air quality index method. The study also concludes that the variability in experts’ perception on describing air quality varies from 80 to 98 %.