Adaptivity in higher-order discontinuous Galerkin based numerical solution of conservation laws using divergence error as indicator

Apurva Tiwari,Avijit Chatterjee 한국전산유체공학회 2022 한국전산유체공학회 학술대회논문집 Vol.2022 No.10

Molecular identification of a forensically relevant blowfly species (Diptera: Calliphoridae) from the Nagpur region of Maharashtra, India

Apurva M. SHINDE 한국곤충학회 2021 Entomological Research Vol.51 No.6

Blowflies (Diptera: Calliphoridae) are widely distributed in many parts of the world. These flies have forensic importance, as they infest carrion soon after death; this helps not only to estimate the post-mortem interval, but also other forensic interpretations. However, the forensic value of most entomofauna found at crime scenes is dependent on accurate species identification. Traditional identification of blowflies is based on morphology, but this has limitations when it comes to identifying degraded or damaged samples, or immature stages of the flies. To increase the accuracy of species identification, DNA-based technologies have been applied. Molecular identification, using the mitochondrial cytochrome C oxidase I gene coupled with its phylogenetic analysis, has demonstrated the potential for rapid and accurate identification of Calliphoridae species. The present study used this process of molecular identification to identify blowflies collected from the Nagpur region (Maharashtra, India). Five flies belonging to two species (Chrysoma megacephala and Chrysomya rufifacies)have been identified by mitochondrial cytochrome C oxidase I gene sequences, and have been added to GenBank [Accession nos: - (MT502110, MT502109 Chrysomya megacephala) (MT502108, MT502111 – Chrysomya rufifacies) to aid researchers in the correct identification of blowfly species for future research or forensic applications.

A PM and TS Health Risk Estimation Model for a Construction Project Using BIM

Apurva Jangam,Daniel Cheriyan,Jae-ho Choi 대한토목학회 2022 대한토목학회 학술대회 Vol.2022 No.10

Efficient wind fragility analysis of RC high rise building through metamodelling

Apurva Bhandari,Gaurav Datta,Soumya Bhattacharjya 한국풍공학회 2018 Wind and Structures, An International Journal (WAS Vol.27 No.3

This paper deals with wind fragility and risk analysis of high rise buildings subjected to stochastic wind load. Conventionally, such problems are dealt in full Monte Carlo Simulation framework, which requires extensive computational time. Thus, to make the procedure computationally efficient, application of metamodelling technique in fragility analysis is explored in the present study. Since, accuracy by the conventional Least Squares Method (LSM) based metamodelling is often challenged, an efficient Moving Least Squares Method based adaptive metamodelling technique is proposed for wind fragility analysis. In doing so, artificial time history of wind load is generated by three wind field models: i.e., a simple one based on alongwind component of wind speed; a more detailed one considering coherence and wind directionality effect, and a third one considering nonstationary effect of mean wind. The results show that the proposed approach is more accurate than the conventional LSM based metamodelling approach when compared to full simulation approach as reference. At the same time, the proposed approach drastically reduces computational time in comparison to the full simulation approach. The results by the three wind field models are compared. The importance of non-linear structural analysis in fragility evaluation has been also demonstrated.

Efficient wind fragility analysis of RC high rise building through metamodelling

Bhandari, Apurva,Datta, Gaurav,Bhattacharjya, Soumya Techno-Press 2018 Wind and Structures, An International Journal (WAS Vol.27 No.3

This paper deals with wind fragility and risk analysis of high rise buildings subjected to stochastic wind load. Conventionally, such problems are dealt in full Monte Carlo Simulation framework, which requires extensive computational time. Thus, to make the procedure computationally efficient, application of metamodelling technique in fragility analysis is explored in the present study. Since, accuracy by the conventional Least Squares Method (LSM) based metamodelling is often challenged, an efficient Moving Least Squares Method based adaptive metamodelling technique is proposed for wind fragility analysis. In doing so, artificial time history of wind load is generated by three wind field models: i.e., a simple one based on alongwind component of wind speed; a more detailed one considering coherence and wind directionality effect, and a third one considering nonstationary effect of mean wind. The results show that the proposed approach is more accurate than the conventional LSM based metamodelling approach when compared to full simulation approach as reference. At the same time, the proposed approach drastically reduces computational time in comparison to the full simulation approach. The results by the three wind field models are compared. The importance of non-linear structural analysis in fragility evaluation has been also demonstrated.

Development of Highly Sensitive and Wide Dynamic Range Fiber-Optic Probe-Type Temperature Sensor Using Thermochromic-Compound-Containing Sensing Membrane

Watekar, Apurva Vinodrao,Khan, Md. Rajibur Rahaman,Khalilian, Alireza,Kang, Shin-Won American Scientific Publishers 2017 Journal of nanoscience and nanotechnology Vol.17 No.11

<P>A fiber-optic probe-type temperature sensor based on a localized surface plasmon resonance mechanism for measuring, monitoring, and analyzing temperature is herein proposed. To fabricate the fiber-optic probe sensor, we prepared a rhodamine-B-containing sensing membrane by mixing it with polyvinyl chloride and N,N-Dimethylacetamide. It was then deposited on a gold nano-particle-coated fiber-optic probe. We have also evaluated the performances of the two conducting polymer-based fiber-optic probe sensors. Experiments were conducted to demonstrate the performance of the proposed fiber-optic probe sensor over a dynamic range of temperature variations, i.e., 10-100 degrees C. The sensitivity and linearity of the proposed sensor was 0.65 nrn/ C and 0.94, respectively. In addition, we designed and evaluated a side-polished fiber-optic temperature sensor using a thermochromic compound (rhodamine B) and observed excellent sensing performance. The performance of the proposed temperature sensor was compared with that of other fiber-optic temperature sensors, including surface plasmon resonance sensors and a Bragg grating. The proposed sensing system was shown to provide more effective sensing performance.</P>

Business Approach for IoT based Health Solutions in India with respect to Osterwalder Framework

Yatin Jog,Apurva Sharma,Kalyani Mhatre,AnandAbhishek 보안공학연구지원센터 2015 International Journal of Bio-Science and Bio-Techn Vol.7 No.6

Internet of Things is an emerging trend that will take existing health care sector to a new dimension. IOT based e-health products like Smart Infusion Pumps, Smart Monitoring, & Health TV will provide the edge over the existing traditional methods used in healthcare sector. The e–Health solutions provided through IoT devices are more accurate and accountable in context of IoT landscape, which provides various challenges along with exciting opportunities in the industry. Healthcare sector is not about just affordability, access & quality but also about financial & social aspects. Therefore, different Business Models have been developed by different enterprises for Transforming Health systems so as to create real time use and impact for the users especially patients, their families & communities where they belongs the centre of care. The main purpose behind every business model is to generate money in terms of profit. It is nothing but an organized structure where a company knows about its key partners, customers, resources, channels & revenue as well as cost structure. This in turns gives a picture about what an enterprise is, what are its strategies, its competitors etc. Better model showcase the enterprise their possibilities, competencies & responsiveness with the customers as well as clients.

Internet Of Things As A Solution Enabler In Health Sector

Yatin Jog,Apurva Sharma,Kalyani Mhatre,Anand Abhishek 보안공학연구지원센터 2015 International Journal of Bio-Science and Bio-Techn Vol.7 No.2

India is a country where vast medical needs are not met. Internet of Things (IoT) has created a new horizon in health care sector which specifically aims at connecting the world via smart objects. IoT enabled devices are used in various industries such as Envi-ronmental Monitoring, Building and Home Automation, Medical and Healthcare Systems, Infrastructure Management, Transport Systems, Energy Management, Industrial Applica-tions, etc. Healthcare industry is one of the biggest industries that provides health care products and incorporates the delivery of services to patients. These services are supported by electronic processs called as E-health. Using IoT devices remote health monitoring and notification can be done easily as well as quickly in case of emergency. Smart TV as a platform for E-Health Services can also be called as “Health-TV” which is one of the technology that provides IoT based e-Health Solutions to the patients. ICT in-dustry mainly focuses on the easy access of remote health services such as medication reminder, health monitoring and health coaching at home. It also helps in independent living style for the patient like senior citizen, managing and accessing health services in a specific condition from home via Health TV. “Smart infusion pumps” is another technol-ogy which is used for treating patients more carefully and accurately. It collects data and then aggregates in a database which contains the records of the administration in the central server. They are basically network devices which connect hospitals and clinics through wireless local area network.”Smart-o-meter” is a Web-based patient-centered decision support system for BP control using an iterative, user-centered design process so that it meets standards of feasibility and acceptability for patient navigators and partici-pants. The outcome or suggestion of this intensive research:  The government should implement the health care technological solutions, as pri-vate organizations can’t reach maximum masses of India.  A shift from traditional methods to the conventional methods of health care prac-tices in India is required so as to build a better environment for the people to live in.  As many Indians are still hesitant of relying on internet based technology, espe-cially IoT (fact from our survey over respondent in city PUNE, INDIA), a proper aware-ness session and demo session should be conducted in leading hospitals and institutes.

Effectiveness of graded motor imagery in subjects with frozen shoulder: a pilot randomized controlled trial

( Peeyoosha Gurudut ),( Apurva Nitin Godse ) 대한통증학회 2022 The Korean Journal of Pain Vol.35 No.2

Background: Subjects with frozen shoulder (FS) might not be comfortable with vigorous physical therapy. Clinical trials assessing the effect of graded motor imagery (GMI) in FS are lacking. The aim of this study was to determine the effect of GMI as an adjunct to conventional physiotherapy in individuals with painful FS. Methods: Twenty subjects aged 40-65 years having stage I and II of FS were randomly divided into two study groups. The conventional physiotherapy group (n = 10) received electrotherapy and exercises while the GMI group (n = 10) received GMI along with the conventional physiotherapy thrice a week for 3 weeks. Pre- (Session 1) and post- (Session 9) intervention analysis for flexion, abduction, and external rotation range of motion (ROM) using a universal goniometer, fear of movement using the fear avoidance belief questionnaire (FABQ), pain with the visual analogue scale, and functional disability using the shoulder pain and disability index (SPADI) was done by a blinded assessor. Results: Statistically significant difference was seen within both the groups for all the outcomes. In terms of increasing abduction ROM as well as reducing fear of movement, pain, and functional disability, the GMI group was significantly better than control group. However, both groups were equally effective for improving flexion and external rotation ROM. Conclusions: Addition of GMI to the conventional physiotherapy proved to be superior to conventional physiotherapy alone in terms of reducing pain, kinesiophobia, and improving shoulder function for stage I and II of FS.

Treatment of malachite green dye using combined oxidation techniques based on different irradiation

Vitthal Laxmanrao Gole,Apurva Alhat 한국화학공학회 2017 Korean Journal of Chemical Engineering Vol.34 No.5

We investigated the treatment of malachite green (MG) dye using sonocatalytic, photocatalytic and sonophotocatalytic techniques. The percentage of decolorization for sonophotolysis (65.5±3.3%) was much higher than the individual effects of sonolysis (55.2±2.4%) and photolysis (52.1±2.6%). The efficiency of the sonophotocatalytic process increased in the presence of photocatalysts such as anatase TiO2 (82.2±4.1%) and ZnO (75.7±3.8%). The decolorization rate further enhanced in the presence of nano-TiO2 (anatase, rutile ratio 75 : 25 and particle size ≤100 nm). The enhancement in decolorization was marginal for sonophotocatalysis (95.9±4.8%) as compared to sonocatalysis (93.0±4.3%) and photocatalysis (93.2±4.6%). The intensification of decolorization in the presence of nano-TiO2, due to lower recombination of hydroxyl ions on the photocatalytic surface and nano-particle size of a catalyst, increased cavitational activity. The total organic carbon was found to be maximum for sonophotocatalytic in the presence of nano- TiO2 (67.1±3.3%).