Unconventional sources of energy like solar are not only green but sustainable too. Adopting sust... more Unconventional sources of energy like solar are not only green but sustainable too. Adopting sustainable sources of energy is a futuristic approach. Working in similar directions in current research, paper authors analyzed and modeled various aspects of an institutional building for solar energy suitability and efficiency by using Autodesk Revit software solar Plugin 2021. The various aspects of solar analysis such as sun path, PV potential and solar radiation value are observed and recorded. After ranging the different criteria like PV surface coverage and PV efficiency the mean energy cost tends to be reduced. Authors observed that the energy cost got reduced to 18.8$ from 24.3$.
This paper presents a study on surface runoff water harvesting and modification of the same, devi... more This paper presents a study on surface runoff water harvesting and modification of the same, devising a percolation cum filtration tank to simultaneously recharge groundwater as well as provide quality water for immediate usage. A detailed study of rainfall behaviour and statistics was done over a particular catchment in Amity University to obtain harvesting potential and subsequently design sedimentation and filtration units, respectively. With an additional filtration through laboratory prepared graphene oxide sand composite, the quality of filtered water is highly enhanced. Economic and easy synthesis of graphene oxide sand composite to easily provide this filter solution.
A pot experiment was conducted at the College of Agriculture in C.S.A.U.A & T, Kanpur (U.P.),... more A pot experiment was conducted at the College of Agriculture in C.S.A.U.A & T, Kanpur (U.P.), India; during the Kharif season of 2012 and 2013 to study the Aerial blight of soybean caused by Rhizoctonia solani Kuhn. The efficacy of seven botanical extract viz., Garlic, Madar, Ginger, Aloevera, Neem, Makoy, Datura i.e. application @ 5 per centand six bio-agents viz. , Trichoderma viride, T. atroviride, T. harzianum, T. longibrachiatum, T. koningii & Aspergillus niger were tested in vitro and in vivo conditions were against Rhizoctonia solani , the causal organism of aerial blight of soybean. Results revealed that the under in vitro conditions, botanical extracts of Garlic was found highly effective showed 88.47 per cent inhibition in radial growth of the fungus at 5 per cent concentration followed by Madar at 5 per cent concentration. Datura was found least effective than rest of the plant extract. The use of bio-agents is risk free and the best alternative to sustain plant protection. Trichoderma viride was the most significantly effective 70.42 per cent as it inhibited the mycelial growth of Rhizoctonia solani after 7 days of incubation followed by T. atroviride and T. harzianum where 62.47 per cent and 47.68 per cent growth of fungus was observed, respectively. However, minimum effect on growth 8.62 per cent was observed in Aspergillus niger.
2021 2nd International Conference on Intelligent Engineering and Management (ICIEM), 2021
The construction industry has primarily relied on conventional building practices that focus on h... more The construction industry has primarily relied on conventional building practices that focus on high energy demand during the life cycle of a building. Over the years, the rapid consumption of energy has led to serious environmental problems such as deforestation, global warming, pollution, etc. To reduce the energy consumption of a given construction project, it is important to study the energy consumption of buildings during their planning stage. This paper aims to optimize the energy consumption of a building in India using sustainable construction practices under Building Information Modeling (BIM) and tools such as Autodesk® Revit®.
2020 IEEE International Conference for Innovation in Technology (INOCON), 2020
Sorting is a regular process for many industries and small businesses. The paper proposes a low-c... more Sorting is a regular process for many industries and small businesses. The paper proposes a low-cost automated system using Deep Learning, Raspberry Pi 3 module B, and a conveyor belt system for sorting of various day to day products. Object sorting is done based on their features. The physical implementation includes a conveyor belt and a pneumatic piston, which is controlled by the Raspberry Pi for the sorting of the object. TensorFlow, with some libraries and methods, is used for the detection of the object.
Journal of emerging technologies and innovative research, 2019
Electronic System is a setup of electronic components, devices used in electronics. Large number ... more Electronic System is a setup of electronic components, devices used in electronics. Large number of topics, which covers analog and digital systems, which is being implemented by using discrete and integrated circuit. Also includes design techniques to cover Electronic Design Automation, authentication, endorsement, and system framework which implements real time embedded systems. Presented paper also includes an example of communication system design emphasizing on structures, characterization and system applications. Keywords— Electronic System Design, Biometric, fingerprint recognition, proxy prevention, Student attendance system, application
Krishna and Serrano (1996) show a unique and efficient outcome in a model of multilateral bargain... more Krishna and Serrano (1996) show a unique and efficient outcome in a model of multilateral bargaining. We show that the predictability of the model critically depends on the nature of the surplus i.e. whether it is continuous or discrete. We show that the model suffers from multiple equilibria and severe inefficiency when the surplus is discrete, not continuous as assumed in Krishna and Serrano (1996), and players are patient enough.
We study a model of multilateral bargaining in which a buyer attempts to assemble objects owned b... more We study a model of multilateral bargaining in which a buyer attempts to assemble objects owned by multiple sellers. Players can (non-cooperatively) opt out of the bargaining whenever they want. The presence of this option results in an equilibrium in which the buyer implements the project immediately and grabs the entire surplus. It also mitigates the inefficiency associated with nontransparent bargaining protocol. These results are in stark contrast to those obtained in Roy Chowdhury and Sengupta (2012).
Krishna and Serrano (1996) study a model of multilateral bargaining, and claim that their analysi... more Krishna and Serrano (1996) study a model of multilateral bargaining, and claim that their analysis is applicable irrespective of whether the surplus exists at the start of the game or it is created after all players agree. We show that their claim is wrong. Their analysis is not applicable when the surplus is created after all players agree. Hence, some of the important real life bargaining situations, like management-multiple unions bargaining and land assembly are not in the scope of Krishna and Serrano (1996).
Aim Patient Specific Instrumentation (PSI) with 3D bone models have been used to improve the outc... more Aim Patient Specific Instrumentation (PSI) with 3D bone models have been used to improve the outcomes of Total Knee Arthroplasty (TKA). The PSI, however, needs a CT (Computed tomography)/MRI scan to reproduce a bone-based model. However, CT is not a routine imaging method in the TKA and has challenges such as high radiation exposure and increased investigation cost. Any technology or software which could accurately recreate 3D bone models using X-ray would be a cheaper and safer tool. This study is based on one such technology (XrayTo3D®) using X-ray to 3D as an alternative to other image-based 3D bone models and PSI available in the market. This study compares the accuracy of XrayTo3D® versus a Conventional CT to 3D, in the reconstruction of lower limb bones (femur and tibia). Method In an analysis of 45 lower limbs, 11 anatomical parameters were measured [Medial Proximal Tibial Angle-MPTA, Tibial(T)-torsion, T-slope, T-length, Mechanical Lateral Distal Femoral Angle (mLDFA), F-version, F-length, Distal femoral Medio lateral width (F-ML), Distal Femoral Antero Posterior (F-AP), Proximal Tibia Antero Posterior (T-AP), Proximal Tibia Medio Lateral (T-ML) based on landmarks selected by three orthopaedic surgeons(numbers of the authors superscript), on two groups of 3D models, one reconstructed using XrayTo3D® and the other using CT. Mean and standard-deviation values were measured for all the parameters in both the groups. Statistical association between both the groups was measured by Pearson's correlation coefficient. Two-sided t tests of the mean values were calculated to compare the two measurement methods. The interobserver reproducibility within each group was measured by the intraclass correlation coefficient (ICC). Point-to-surface (P2S) error, in the distal femur and proximal tibia regions of the models reconstructed using XrayTo3D®, were also measured. Results For all the 11 parameters, no statistically significant difference was found between the 2 groups (p > 0.05). Pearson's correlation coefficients for all the parameters were not significant. The interobserver reproducibility was ranging from 0.90 to 1.00 and 0.90 to 1.00 for the XrayTo3D® and CT groups, respectively. The mean P2S distance was 1.0 mm in distal femur and 1.1 mm in proximal tibia which was within the acceptable limits. Conclusion The reconstruction accuracy of the XrayTo3D® is an accurate, safe and cost effective as compared to a CT-based method.
2018 Second International Conference on Inventive Communication and Computational Technologies (ICICCT), 2018
This paper proposes a robot for human rescue operation using cognitive systems in an environment ... more This paper proposes a robot for human rescue operation using cognitive systems in an environment which is unsuitable for any human intervention. The robot can operate manually with human input and is also capable of autonomous operation by being guided using sensors. In manual mode, human input is provided wirelessly and its operation is observed by the feedback from a mounted camera. The robot is mounted with IR and PIR sensors to help it navigate while operating autonomously. The robot will aid in rescue operations by allowing a minimal threat to human life. Practical experiments and simulation experiments are carried out to validate our design.
Current Journal of Applied Science and Technology, 2020
A survey was conducted in selected villages of Prayagraj district to evaluate the disease inciden... more A survey was conducted in selected villages of Prayagraj district to evaluate the disease incidence of Fusarium (Fusarium udum) wilt and cyst nematode (Heterodera cajani) of pigeon pea (Cajanus cajan). Soil and roots were collected from the rhizosphere of infested pigeonpea plants. The maximum wilt incidence was recorded (57.6%) in Dari village followed by Pump House (56%), Pahlu ka Purwa (51.2%) and the lowest incidence of wilt was recorded in Chaka (12.8%), Naini (11.2%) and Jhusi (9.6%) in the year 2016. For cyst nematode, soil samples was collected from selected fields, the soil was mixed thoroughly and 500 g of the soil was processed following Cobb’s sieving and decanting method where cyst and J2’s were separated in separate mesh size sieves. It was observed that infestation of Heterodera cajani was very high in Jari (51%) followed by Naini (41%). The minimum infestation of Heterodera cajani was found in Meza village which was responsible for wilt disease in pigeonpea concludin...
The purpose of the present study was to compare the somatometric measurements among hard core cri... more The purpose of the present study was to compare the somatometric measurements among hard core criminals, petty criminals and community people. Using standard anthropometric procedures, somatometric dimensions were studied on 250 subjects each from the three groups: (i) experimental (hard core criminal) group, (ii) control-I (petty criminal) group, and (iii) control-II (community people) group. Univariate analysis of variance was used for making comparisons of somatometric measurements between these groups in the univariate case. Quadratic discriminant analysis (QDA) was used to develop a model based on measurements that classifies the cases into groups. The study revealed that the somatometric measurements such as morphological total facial height (p < 0.01), physiognomic total facial height (p = 0.015), nasal length (p = 0.001), height of lower face (p = 0.001), nasal depth (p = 0.002), sitting height vertex (p = 0.011), bigonial breadth (p < 0.001), maximum head breadth (p =...
International Journal of Multimedia Information Retrieval, 2013
In this paper, we address the problem of Content Based Video Retrieval using a multivariate time ... more In this paper, we address the problem of Content Based Video Retrieval using a multivariate time series modeling of features. We particularly focus on representing the dynamics of geometric features on the Spatio-Temporal Volume (STV) created from a real world video shot. The STV intrinsically holds the video content by capturing the dynamics of the appearance of the foreground object over time, and hence can be considered as a dynamical system. We have captured the geometric property of the parameterized STV using the Gaussian curvature computed at each point on its surface. The change of Gaussian curvature over time is then modeled as a Linear Dynamical System (LDS). Due to its capability to efficiently model the dynamics of a multivariate signal, Auto Regressive Moving Average (ARMA) model is used to represent the time series data. Parameters of the ARMA model are then used for video content representation. To discriminate between a pair of video shots (time series), we have used the subspace angle between a pair of feature vectors formed using ARMA model parameters. Experiments are done on four publicly available benchmark datasets, shot using a static camera. We present both qualitative and quantitative analysis of our proposed framework. Comparative results with three recent works on video retrieval also show the efficiency of our proposed framework.
Unconventional sources of energy like solar are not only green but sustainable too. Adopting sust... more Unconventional sources of energy like solar are not only green but sustainable too. Adopting sustainable sources of energy is a futuristic approach. Working in similar directions in current research, paper authors analyzed and modeled various aspects of an institutional building for solar energy suitability and efficiency by using Autodesk Revit software solar Plugin 2021. The various aspects of solar analysis such as sun path, PV potential and solar radiation value are observed and recorded. After ranging the different criteria like PV surface coverage and PV efficiency the mean energy cost tends to be reduced. Authors observed that the energy cost got reduced to 18.8$ from 24.3$.
This paper presents a study on surface runoff water harvesting and modification of the same, devi... more This paper presents a study on surface runoff water harvesting and modification of the same, devising a percolation cum filtration tank to simultaneously recharge groundwater as well as provide quality water for immediate usage. A detailed study of rainfall behaviour and statistics was done over a particular catchment in Amity University to obtain harvesting potential and subsequently design sedimentation and filtration units, respectively. With an additional filtration through laboratory prepared graphene oxide sand composite, the quality of filtered water is highly enhanced. Economic and easy synthesis of graphene oxide sand composite to easily provide this filter solution.
A pot experiment was conducted at the College of Agriculture in C.S.A.U.A & T, Kanpur (U.P.),... more A pot experiment was conducted at the College of Agriculture in C.S.A.U.A & T, Kanpur (U.P.), India; during the Kharif season of 2012 and 2013 to study the Aerial blight of soybean caused by Rhizoctonia solani Kuhn. The efficacy of seven botanical extract viz., Garlic, Madar, Ginger, Aloevera, Neem, Makoy, Datura i.e. application @ 5 per centand six bio-agents viz. , Trichoderma viride, T. atroviride, T. harzianum, T. longibrachiatum, T. koningii & Aspergillus niger were tested in vitro and in vivo conditions were against Rhizoctonia solani , the causal organism of aerial blight of soybean. Results revealed that the under in vitro conditions, botanical extracts of Garlic was found highly effective showed 88.47 per cent inhibition in radial growth of the fungus at 5 per cent concentration followed by Madar at 5 per cent concentration. Datura was found least effective than rest of the plant extract. The use of bio-agents is risk free and the best alternative to sustain plant protection. Trichoderma viride was the most significantly effective 70.42 per cent as it inhibited the mycelial growth of Rhizoctonia solani after 7 days of incubation followed by T. atroviride and T. harzianum where 62.47 per cent and 47.68 per cent growth of fungus was observed, respectively. However, minimum effect on growth 8.62 per cent was observed in Aspergillus niger.
2021 2nd International Conference on Intelligent Engineering and Management (ICIEM), 2021
The construction industry has primarily relied on conventional building practices that focus on h... more The construction industry has primarily relied on conventional building practices that focus on high energy demand during the life cycle of a building. Over the years, the rapid consumption of energy has led to serious environmental problems such as deforestation, global warming, pollution, etc. To reduce the energy consumption of a given construction project, it is important to study the energy consumption of buildings during their planning stage. This paper aims to optimize the energy consumption of a building in India using sustainable construction practices under Building Information Modeling (BIM) and tools such as Autodesk® Revit®.
2020 IEEE International Conference for Innovation in Technology (INOCON), 2020
Sorting is a regular process for many industries and small businesses. The paper proposes a low-c... more Sorting is a regular process for many industries and small businesses. The paper proposes a low-cost automated system using Deep Learning, Raspberry Pi 3 module B, and a conveyor belt system for sorting of various day to day products. Object sorting is done based on their features. The physical implementation includes a conveyor belt and a pneumatic piston, which is controlled by the Raspberry Pi for the sorting of the object. TensorFlow, with some libraries and methods, is used for the detection of the object.
Journal of emerging technologies and innovative research, 2019
Electronic System is a setup of electronic components, devices used in electronics. Large number ... more Electronic System is a setup of electronic components, devices used in electronics. Large number of topics, which covers analog and digital systems, which is being implemented by using discrete and integrated circuit. Also includes design techniques to cover Electronic Design Automation, authentication, endorsement, and system framework which implements real time embedded systems. Presented paper also includes an example of communication system design emphasizing on structures, characterization and system applications. Keywords— Electronic System Design, Biometric, fingerprint recognition, proxy prevention, Student attendance system, application
Krishna and Serrano (1996) show a unique and efficient outcome in a model of multilateral bargain... more Krishna and Serrano (1996) show a unique and efficient outcome in a model of multilateral bargaining. We show that the predictability of the model critically depends on the nature of the surplus i.e. whether it is continuous or discrete. We show that the model suffers from multiple equilibria and severe inefficiency when the surplus is discrete, not continuous as assumed in Krishna and Serrano (1996), and players are patient enough.
We study a model of multilateral bargaining in which a buyer attempts to assemble objects owned b... more We study a model of multilateral bargaining in which a buyer attempts to assemble objects owned by multiple sellers. Players can (non-cooperatively) opt out of the bargaining whenever they want. The presence of this option results in an equilibrium in which the buyer implements the project immediately and grabs the entire surplus. It also mitigates the inefficiency associated with nontransparent bargaining protocol. These results are in stark contrast to those obtained in Roy Chowdhury and Sengupta (2012).
Krishna and Serrano (1996) study a model of multilateral bargaining, and claim that their analysi... more Krishna and Serrano (1996) study a model of multilateral bargaining, and claim that their analysis is applicable irrespective of whether the surplus exists at the start of the game or it is created after all players agree. We show that their claim is wrong. Their analysis is not applicable when the surplus is created after all players agree. Hence, some of the important real life bargaining situations, like management-multiple unions bargaining and land assembly are not in the scope of Krishna and Serrano (1996).
Aim Patient Specific Instrumentation (PSI) with 3D bone models have been used to improve the outc... more Aim Patient Specific Instrumentation (PSI) with 3D bone models have been used to improve the outcomes of Total Knee Arthroplasty (TKA). The PSI, however, needs a CT (Computed tomography)/MRI scan to reproduce a bone-based model. However, CT is not a routine imaging method in the TKA and has challenges such as high radiation exposure and increased investigation cost. Any technology or software which could accurately recreate 3D bone models using X-ray would be a cheaper and safer tool. This study is based on one such technology (XrayTo3D®) using X-ray to 3D as an alternative to other image-based 3D bone models and PSI available in the market. This study compares the accuracy of XrayTo3D® versus a Conventional CT to 3D, in the reconstruction of lower limb bones (femur and tibia). Method In an analysis of 45 lower limbs, 11 anatomical parameters were measured [Medial Proximal Tibial Angle-MPTA, Tibial(T)-torsion, T-slope, T-length, Mechanical Lateral Distal Femoral Angle (mLDFA), F-version, F-length, Distal femoral Medio lateral width (F-ML), Distal Femoral Antero Posterior (F-AP), Proximal Tibia Antero Posterior (T-AP), Proximal Tibia Medio Lateral (T-ML) based on landmarks selected by three orthopaedic surgeons(numbers of the authors superscript), on two groups of 3D models, one reconstructed using XrayTo3D® and the other using CT. Mean and standard-deviation values were measured for all the parameters in both the groups. Statistical association between both the groups was measured by Pearson's correlation coefficient. Two-sided t tests of the mean values were calculated to compare the two measurement methods. The interobserver reproducibility within each group was measured by the intraclass correlation coefficient (ICC). Point-to-surface (P2S) error, in the distal femur and proximal tibia regions of the models reconstructed using XrayTo3D®, were also measured. Results For all the 11 parameters, no statistically significant difference was found between the 2 groups (p > 0.05). Pearson's correlation coefficients for all the parameters were not significant. The interobserver reproducibility was ranging from 0.90 to 1.00 and 0.90 to 1.00 for the XrayTo3D® and CT groups, respectively. The mean P2S distance was 1.0 mm in distal femur and 1.1 mm in proximal tibia which was within the acceptable limits. Conclusion The reconstruction accuracy of the XrayTo3D® is an accurate, safe and cost effective as compared to a CT-based method.
2018 Second International Conference on Inventive Communication and Computational Technologies (ICICCT), 2018
This paper proposes a robot for human rescue operation using cognitive systems in an environment ... more This paper proposes a robot for human rescue operation using cognitive systems in an environment which is unsuitable for any human intervention. The robot can operate manually with human input and is also capable of autonomous operation by being guided using sensors. In manual mode, human input is provided wirelessly and its operation is observed by the feedback from a mounted camera. The robot is mounted with IR and PIR sensors to help it navigate while operating autonomously. The robot will aid in rescue operations by allowing a minimal threat to human life. Practical experiments and simulation experiments are carried out to validate our design.
Current Journal of Applied Science and Technology, 2020
A survey was conducted in selected villages of Prayagraj district to evaluate the disease inciden... more A survey was conducted in selected villages of Prayagraj district to evaluate the disease incidence of Fusarium (Fusarium udum) wilt and cyst nematode (Heterodera cajani) of pigeon pea (Cajanus cajan). Soil and roots were collected from the rhizosphere of infested pigeonpea plants. The maximum wilt incidence was recorded (57.6%) in Dari village followed by Pump House (56%), Pahlu ka Purwa (51.2%) and the lowest incidence of wilt was recorded in Chaka (12.8%), Naini (11.2%) and Jhusi (9.6%) in the year 2016. For cyst nematode, soil samples was collected from selected fields, the soil was mixed thoroughly and 500 g of the soil was processed following Cobb’s sieving and decanting method where cyst and J2’s were separated in separate mesh size sieves. It was observed that infestation of Heterodera cajani was very high in Jari (51%) followed by Naini (41%). The minimum infestation of Heterodera cajani was found in Meza village which was responsible for wilt disease in pigeonpea concludin...
The purpose of the present study was to compare the somatometric measurements among hard core cri... more The purpose of the present study was to compare the somatometric measurements among hard core criminals, petty criminals and community people. Using standard anthropometric procedures, somatometric dimensions were studied on 250 subjects each from the three groups: (i) experimental (hard core criminal) group, (ii) control-I (petty criminal) group, and (iii) control-II (community people) group. Univariate analysis of variance was used for making comparisons of somatometric measurements between these groups in the univariate case. Quadratic discriminant analysis (QDA) was used to develop a model based on measurements that classifies the cases into groups. The study revealed that the somatometric measurements such as morphological total facial height (p < 0.01), physiognomic total facial height (p = 0.015), nasal length (p = 0.001), height of lower face (p = 0.001), nasal depth (p = 0.002), sitting height vertex (p = 0.011), bigonial breadth (p < 0.001), maximum head breadth (p =...
International Journal of Multimedia Information Retrieval, 2013
In this paper, we address the problem of Content Based Video Retrieval using a multivariate time ... more In this paper, we address the problem of Content Based Video Retrieval using a multivariate time series modeling of features. We particularly focus on representing the dynamics of geometric features on the Spatio-Temporal Volume (STV) created from a real world video shot. The STV intrinsically holds the video content by capturing the dynamics of the appearance of the foreground object over time, and hence can be considered as a dynamical system. We have captured the geometric property of the parameterized STV using the Gaussian curvature computed at each point on its surface. The change of Gaussian curvature over time is then modeled as a Linear Dynamical System (LDS). Due to its capability to efficiently model the dynamics of a multivariate signal, Auto Regressive Moving Average (ARMA) model is used to represent the time series data. Parameters of the ARMA model are then used for video content representation. To discriminate between a pair of video shots (time series), we have used the subspace angle between a pair of feature vectors formed using ARMA model parameters. Experiments are done on four publicly available benchmark datasets, shot using a static camera. We present both qualitative and quantitative analysis of our proposed framework. Comparative results with three recent works on video retrieval also show the efficiency of our proposed framework.
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