ASSESSMENT OF LP AND GA AS RESERVOIR SYSTEM ANALYSIS TOOLSIAEME Publication
A reservoir is a huge manmade structure constructed for a number of reasons. It
uses natural water resources and helps in the development of a society. The quantum
of water in a reservoir is a function of the hydrologic characteristics of the region. An
efficient planning and operation of a reservoir is a skill of the water planner. The
works done by researchers in the system analysis of a reservoir are discussed in the
present paper. The most appreciated linear programming (LP) and genetic algorithm
(GA) are studied in the context of system analysis of Urmodi Reservoir in
Maharashtra, India. The objective function is set to minimize the sum of the squared
irrigation demand deficit. Results show that these tools seem to be versatile in nature
and efficiently adopted for reservoir operation purpose.
The document analyzes the energy consumption for cucumber greenhouse production in Iran using data envelopment analysis. Data was collected from 20 greenhouses and energy inputs (like diesel, fertilizer, labor) and outputs (cucumber yield) were calculated. Total energy input was 163,994 MJ/ha with diesel fuel as the highest at 45.15%. Output was 62,496 MJ/ha. Technical, pure technical and scale efficiencies were then calculated using DEA to evaluate energy efficiency and identify areas for improvement. The study found DEA to be useful for benchmarking energy use and determining how to reduce waste.
IRJET - Water Conservation: Rain Water Harvesting Project for College CampusIRJET Journal
This document summarizes a rainwater harvesting project implemented at Shri Tulja Bhavani College of Engineering in Tuljapur, Maharashtra, India. The college is located in a drought-prone region that experiences water scarcity during summer months. The project involved collecting rainwater from the rooftops of 13 campus buildings with a total roof area of 5,539 square meters. Over 539,000 liters of rainwater was collected and used to recharge groundwater wells and fill a 100,000 liter storage tank. The project cost 285,797 rupees and has a payback period of 2 years based on reduced spending on water tankers. The rainwater harvesting system aims to increase local water availability
5 most sustainable decision making techniques used in water resource developmentMrinmoy Majumder
In recent years MCDM is proposed as the most useful technique of decision making where the method is entirely repeatable and objective. The use of MCDM has solved many decision-making problems.In recent years the same technique is used to solve Water Resource Management Problems. This PPT shows five such examples.
Estimation of Annual Runoff in Indravati Sub Basin of Godavari River using St...AM Publications
Prediction of runoff from known rainfall is one of the major problems confronted by hydrologists. There is lack of availability of long period runoff records in large number of catchments in India. Investigators have proposed many empirical relationships for runoff estimation in different catchments based on limited data of parameters affecting runoff. These regional relationships are useful in planning of water resource projects. This study was carried out to obtain simple yet effective relationship for estimation of annual runoff in Indravati sub basin of Godavari river. Regression analysis was carried out using annual rainfall, annual runoff and average annual temperature data to develop empirical models for annual runoff estimation. GIS software was used for preparing maps for the study area and to extract the precipitation and temperature data available in grid format from IMD. The best suited empirical model is then selected as per statistical criteria with lower values of standard error, standard deviation, mean absolute deviation (MAD), root mean square error (RMSE) and higher values of R square and correlation coefficient. Statistical significance of selected empirical model was evaluated by paired t test, F test and P value at 95 % confidence level. The developed relationship is then compared with the existing Khosla and Inglis and DeSouza relationships. Outcome of this comparison produces encouraging inferences to suggest an effective regional relationship for annual runoff estimation in the Indravati sub basin of Godavari river in India.
This document summarizes a study on the impact of service reservoir staging height on the installation cost of a water supply scheme in Kamayakoundanpatty, India. The study used various methods to optimize the pumping main, service reservoir, and distribution system costs for staging heights ranging from 10-20 meters. Topographic surveys, population projections, and demand estimates were conducted for the area. Pumping main costs were analyzed using software to determine the optimal pipe size. Distribution systems were optimized in software considering different reservoir heights. The staging height that provided the lowest total installation cost was found to be 12 meters for this project.
Thermal Characteristics of Different Shaped Fin Protracted Heat Exchanger in ...YogeshIJTSRD
The current presents looks at exhaust gases potential to recover low grade waste heat energy from internal combustion engines ICEs . A Prolonged Fin Counter Flow Heat Exchange PFCHE double tube was planned, analyzed, and supplied with water as working fluids to achieve this objective. The structure of a double pipe, Protracted Fin Heat Exchanger PFCHE , which performs a simulation study, is derived with exact measurements from one by Rajesh Ravi et al. 2020 research scholar, and then different shapes of the fin profiles were introduced in the designs suggested. The Fluent 17.0 is used for numerical analysis. The CFD results showing that the PFCHE with triangular fin outperforms the PFCHE with circular fin, and previous studies by Rajesh Ravi et al. 2020 showing that the PFCHE with triangular fin outperforms the PFCHE with circular fin. When compared to the PFCHE with circular fin, the PFCHE net heat transfer rate is 1.76 percent higher and 2.82 percent higher than Rajesh Ravi et al. 2020 report. Prof. Ranjeet Arya | Rahul Ade "Thermal Characteristics of Different Shaped Fin Protracted Heat Exchanger in Diesel Engine Exhaust using CFD" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-3 , April 2021, URL: https://www.ijtsrd.com/papers/ijtsrd39939.pdf Paper URL: https://www.ijtsrd.com/engineering/mechanical-engineering/39939/thermal-characteristics-of-different-shaped-fin-protracted-heat-exchanger-in-diesel-engine-exhaust-using-cfd/prof-ranjeet-arya
This document summarizes a study analyzing potential locations for underwater compressed air energy storage (UW-CAES) in the Gulf of Maine. The objectives were to find optimal locations based on engineering, environmental, and social factors; evaluate energy storage potential; and determine environmental impacts. Using GIS software, researchers analyzed bathymetry, marine life, recreation areas, and other parameters to identify five areas as candidates. Area 1 had the highest potential storage capacity at 5,159 GWh. Analysis of right whale sightings showed Areas 1 and 3 have the most sightings in spring.
ASSESSMENT OF LP AND GA AS RESERVOIR SYSTEM ANALYSIS TOOLSIAEME Publication
A reservoir is a huge manmade structure constructed for a number of reasons. It
uses natural water resources and helps in the development of a society. The quantum
of water in a reservoir is a function of the hydrologic characteristics of the region. An
efficient planning and operation of a reservoir is a skill of the water planner. The
works done by researchers in the system analysis of a reservoir are discussed in the
present paper. The most appreciated linear programming (LP) and genetic algorithm
(GA) are studied in the context of system analysis of Urmodi Reservoir in
Maharashtra, India. The objective function is set to minimize the sum of the squared
irrigation demand deficit. Results show that these tools seem to be versatile in nature
and efficiently adopted for reservoir operation purpose.
The document analyzes the energy consumption for cucumber greenhouse production in Iran using data envelopment analysis. Data was collected from 20 greenhouses and energy inputs (like diesel, fertilizer, labor) and outputs (cucumber yield) were calculated. Total energy input was 163,994 MJ/ha with diesel fuel as the highest at 45.15%. Output was 62,496 MJ/ha. Technical, pure technical and scale efficiencies were then calculated using DEA to evaluate energy efficiency and identify areas for improvement. The study found DEA to be useful for benchmarking energy use and determining how to reduce waste.
IRJET - Water Conservation: Rain Water Harvesting Project for College CampusIRJET Journal
This document summarizes a rainwater harvesting project implemented at Shri Tulja Bhavani College of Engineering in Tuljapur, Maharashtra, India. The college is located in a drought-prone region that experiences water scarcity during summer months. The project involved collecting rainwater from the rooftops of 13 campus buildings with a total roof area of 5,539 square meters. Over 539,000 liters of rainwater was collected and used to recharge groundwater wells and fill a 100,000 liter storage tank. The project cost 285,797 rupees and has a payback period of 2 years based on reduced spending on water tankers. The rainwater harvesting system aims to increase local water availability
5 most sustainable decision making techniques used in water resource developmentMrinmoy Majumder
In recent years MCDM is proposed as the most useful technique of decision making where the method is entirely repeatable and objective. The use of MCDM has solved many decision-making problems.In recent years the same technique is used to solve Water Resource Management Problems. This PPT shows five such examples.
Estimation of Annual Runoff in Indravati Sub Basin of Godavari River using St...AM Publications
Prediction of runoff from known rainfall is one of the major problems confronted by hydrologists. There is lack of availability of long period runoff records in large number of catchments in India. Investigators have proposed many empirical relationships for runoff estimation in different catchments based on limited data of parameters affecting runoff. These regional relationships are useful in planning of water resource projects. This study was carried out to obtain simple yet effective relationship for estimation of annual runoff in Indravati sub basin of Godavari river. Regression analysis was carried out using annual rainfall, annual runoff and average annual temperature data to develop empirical models for annual runoff estimation. GIS software was used for preparing maps for the study area and to extract the precipitation and temperature data available in grid format from IMD. The best suited empirical model is then selected as per statistical criteria with lower values of standard error, standard deviation, mean absolute deviation (MAD), root mean square error (RMSE) and higher values of R square and correlation coefficient. Statistical significance of selected empirical model was evaluated by paired t test, F test and P value at 95 % confidence level. The developed relationship is then compared with the existing Khosla and Inglis and DeSouza relationships. Outcome of this comparison produces encouraging inferences to suggest an effective regional relationship for annual runoff estimation in the Indravati sub basin of Godavari river in India.
This document summarizes a study on the impact of service reservoir staging height on the installation cost of a water supply scheme in Kamayakoundanpatty, India. The study used various methods to optimize the pumping main, service reservoir, and distribution system costs for staging heights ranging from 10-20 meters. Topographic surveys, population projections, and demand estimates were conducted for the area. Pumping main costs were analyzed using software to determine the optimal pipe size. Distribution systems were optimized in software considering different reservoir heights. The staging height that provided the lowest total installation cost was found to be 12 meters for this project.
Thermal Characteristics of Different Shaped Fin Protracted Heat Exchanger in ...YogeshIJTSRD
The current presents looks at exhaust gases potential to recover low grade waste heat energy from internal combustion engines ICEs . A Prolonged Fin Counter Flow Heat Exchange PFCHE double tube was planned, analyzed, and supplied with water as working fluids to achieve this objective. The structure of a double pipe, Protracted Fin Heat Exchanger PFCHE , which performs a simulation study, is derived with exact measurements from one by Rajesh Ravi et al. 2020 research scholar, and then different shapes of the fin profiles were introduced in the designs suggested. The Fluent 17.0 is used for numerical analysis. The CFD results showing that the PFCHE with triangular fin outperforms the PFCHE with circular fin, and previous studies by Rajesh Ravi et al. 2020 showing that the PFCHE with triangular fin outperforms the PFCHE with circular fin. When compared to the PFCHE with circular fin, the PFCHE net heat transfer rate is 1.76 percent higher and 2.82 percent higher than Rajesh Ravi et al. 2020 report. Prof. Ranjeet Arya | Rahul Ade "Thermal Characteristics of Different Shaped Fin Protracted Heat Exchanger in Diesel Engine Exhaust using CFD" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-3 , April 2021, URL: https://www.ijtsrd.com/papers/ijtsrd39939.pdf Paper URL: https://www.ijtsrd.com/engineering/mechanical-engineering/39939/thermal-characteristics-of-different-shaped-fin-protracted-heat-exchanger-in-diesel-engine-exhaust-using-cfd/prof-ranjeet-arya
This document summarizes a study analyzing potential locations for underwater compressed air energy storage (UW-CAES) in the Gulf of Maine. The objectives were to find optimal locations based on engineering, environmental, and social factors; evaluate energy storage potential; and determine environmental impacts. Using GIS software, researchers analyzed bathymetry, marine life, recreation areas, and other parameters to identify five areas as candidates. Area 1 had the highest potential storage capacity at 5,159 GWh. Analysis of right whale sightings showed Areas 1 and 3 have the most sightings in spring.
A MODEL DRIVEN OPTIMIZATION APPROACH TO DETERMINE TILT ANGLE OF SOLAR COLLECT...IAEME Publication
The solar systems are an intense need to full fill the energy requirement of developing countries like India. Where, thermal and photovoltaic are the two methods to utilize the solar energy directly from sun. In these methods solar equipments (e.g. flat plat collector and Photovoltaic panel) are kept in tilted position for absorbing maximum solar flux. Hence, finding the optimum tilt angle is the problem of optimization. Therefore, in this paper model driven optimization approach such as particle swarm optimization (PSO) estimator has been proposed to find optimum tilt angle and its results are compared with analytical results. A novel cost function has been applied to determine periodical optimum tilt angle. To validate the performance of PSO estimator results, statistical analysis study is carried out. Where, three statistical approaches such as descriptive method, direct method and Altman-Bland methods are adopted. The PSO estimator results are found satisfactory to ANA results at 95% confidence interval under statistical study.
Prediction droughts using machine learning algorithmJadav Kartik
The document discusses a study that used machine learning algorithms like ANN, SVM, and KNN to develop models for predicting moderate, severe, and extreme droughts over Pakistan. SVM-based models performed best in capturing the temporal and spatial characteristics of droughts. The models analyzed relationships between drought indicators (SPEI) and atmospheric variables (RH, temperature, wind speed) to improve drought prediction in different seasons. While the models showed skill, the study could be expanded by evaluating additional algorithms and reanalysis datasets.
Assessing Water Demand And Supply For Srinagar City (J&K) India, Under Chang...IJMER
The study holds significance keeping in view the global climatic concerns, which began
to cast their shadows on the climate of Jammu and Kashmir as well. In order to accomplish the
present study, WEAP (water evaluation and planning model) of Stockholm Environment Institute
was used. This model is a tool for integrated water resource management and planning like,
forecasting water demand, supply, inflows, outflows, water use, reuse, water quality, priority areas
and Hydropower generation, etc,. During the present study discharge data from 1979-2010 (past
thirty years) of our study rivers i.e., Dachigam Stream and Sindh Stream was used as supply to our
demand sites and also to find the impacts of changing climatic conditions over them. Due to
availability of data upto year 2010 only therefore the scenarios were generated from year 2011
onwards. The water demands for Srinagar i,e., irrigation demands for agriculture and water
supply demands for our domestic needs was analyzed, industrial demands were not analyzed as we
have negligible demands in this sector. The water supplied to our demand sites was mostly
contributed by our study rivers and a little demand was met by ground water. Data was collected
from various agencies like PHE Srinagar, Census data of 2011, Meteorology department etc. This
collected and generated data was given as input to the WEAP model. The model generated the
trends for discharge of our study rivers for next 15 years and at the same time also generated
scenarios calculating our demands and supplies for the future. The model results reveal that there
will be shortages in the requirements met in the urban water needs for some years like 2016, 2017,
2018 and 2020. The results generated from the model outputs will help us in predicting whether
our water resources are going to suffice our growing water needs or not in future. The results will
help in drafting policies for future regarding water supplies and demands under changing climatic
scenarios.
ESTIMATION OF ANNUAL RUNOFF IN INDRAVATI SUB BASIN OF GODAVARI RIVER USING S...AM Publications
Prediction of runoff from known rainfall is one of the major problems confronted by hydrologists. There is lack of availability of long period runoff records in large number of catchments in India. Investigators have proposed many empirical relationships for runoff estimation in different catchments based on limited data of parameters affecting runoff. These regional relationships are useful in planning of water resource projects. This study was carried out to obtain simple yet effective relationship for estimation of annual runoff in Indravati sub Basin of Godavari River. Regression analysis was carried out using annual rainfall, annual runoff and average annual temperature data to develop empirical models for annual runoff estimation. GIS software was used for preparing maps for the study area and to extract the precipitation and temperature data available in grid format from IMD. The best suited empirical model is then selected as per statistical criteria with lower values of standard error, standard deviation, mean absolute deviation (MAD), root mean square error (RMSE) and higher values of R square and correlation coefficient. Statistical significance of selected empirical model was evaluated by paired t test, F test and P value at 95 % confidence level. The developed relationship is then compared with the existing Khosla and Inglis and DeSouza relationships. Outcome of this comparison produces encouraging inferences to suggest an effective regional relationship for annual runoff estimation in the Indravati sub Basin of Godavari River in India.
APPLICATION OF 1-D HEC-RAS MODEL IN DESIGN OF CHANNELSAM Publications
Flood occurs at Surat city frequently due to sudden release of water from Ukai dam in river Tapi. At the
time of floods in river Tapi, Surat city and surrounding regions are most affected. The city has faced many floods
since long back. Major flood event occurred in the year 1883, 1884, 1942,1944,1945,1949, 1959, 1968, 1994, 1998,
2002, 2006, 2007 and 2012. The carrying capacity of river is approximately about 4.5 lakhs cusecs (12753 cumecs) at
present. In this, stability of a segment of lower reach approximately 6 km length of Tapi river between Weir cum
causeway and Sardar bridge is evaluated for its carrying capacity and stability in response to discharge and slopes
using HEC-RAS software for past flood data. The study reach consists of 24 cross-sections. The hydraulics model,
HEC-RAS is employed to evaluate flood conveyance performance and also uniform flow computation is carried out.
In the present study existing storm drains are not only marked but based on the HEC-RAS water surface elevation
computation for various flood discharges, need of flood gates on the storm drains are also assessed. The
recommendations are done based on this study either to increase height of bank or construct a retaining wall at
certain sections along the study reach. The present study also recommends installations of flood gates on all the storm
drain outlets which are without flood gates. The width of river in no case be encroached as sections are sensitive high
floods.
Comparative Study of the Utilization of Geothermal Energy in Various Ways in ...IRJET Journal
This document provides a comparative study of geothermal energy utilization in India and other parts of the world. It discusses geothermal energy sites and potential in India and globally. In India, around 400 hot springs are located across 10 provinces, with surface temperatures ranging from 47-98°C. Major countries for geothermal energy include the US, Philippines, Indonesia, and Iceland. The document also examines geothermal power plant capacity, with the largest being in the US, Philippines, and Iceland. Examples of geothermal heating and cooling system projects are provided for both India and other countries.
Comparison of the Various Waste to Energy Technologies and Selection of the T...rahulmonikasharma
The urbanization and growth of the state of Sikkim poses a grave environmental hazard to the state in the way of Municipal Solid Waste (MSW). The waste generated in the state of Sikkim today stands at 106 Tonnes per day which although is quite small compared to other states, but for the tiny state which has about 70% of land as protected or covered under forest or uninhabitable, finding lands for creating land fills is a big problem. This paper tries to find a solution to the problem by finding a suitable method for converting of the waste generated into energy by studying and comparing the various Waste to Energy (WTE) technologies.
3 sites selection and technology options for a marine energy system02shubhank1997
This document presents a methodology for selecting optimal marine sites and technology options for marine energy systems. The methodology combines geographic information systems, multi-criteria analysis, and an optimization algorithm. It allows decision-makers to evaluate social acceptance, technical limitations, environmental factors, and identify the best marine areas for installation. The methodology is demonstrated through a case study of installing marine current turbines in the Raz de Sein area off the coast of France.
IRJET- Smart Farming Crop Yield Prediction using Machine LearningIRJET Journal
The document proposes a method for smart farming and crop yield prediction using machine learning algorithms like Support Vector Machine and Random Forest. Historical agricultural data on factors like moisture, rainfall, temperature and humidity is collected and analyzed to predict crop yields and whether conditions will be excellent, good, or poor. The goal is to help farmers increase profits by providing insights into how environmental conditions impact crops.
A review of techniques in optimal sizing of hybrid renewable energy systemseSAT Journals
Abstract This paper presents a review of techniques usedin recent published works on optimal sizing of hybrid renewable energy sources. Hybridization of renewable energy sources is an emergent promising trend born out of the need to fully utilize and solve problems associated with the reliability of renewable energy resources such as wind and solar. Exploitation of these resources has been instrumental in tackling or mitigating present day energy problems such as price instability for fossil based fuels, global warming and climate change in addition to being seen as way of meeting future demand for power. This paper targets researchers in the renewable energy space and the general public seeking to inform them on trends in methods applied in optimal sizing of hybrid renewable energy sources as well as to provide a scope into what has been done in this field. In reviewing previous works, a two prong approach has been used focusing attention on the sizing methods used in the reviewed works as well as the performance indices used to check quality by these works. In summary there is a clear indication of increased interest in recent years in optimal sizing of hybrid renewable energy resources with metaheuristic approaches such as Genetic Algorithms and Particle Swarm Optimization coming out as very interesting to researchers. It has also been observed that resources being hybridized are those with complementary regimes on specific sites.
Index Terms - Energy storage, hybrid power systems, optimization methods, renewable energy sources, reviews, solar energy, wind energy.
This document summarizes a presentation given at the 4th International Conference on Advances in Energy Research titled "Pinch Analysis for MultiDimensional Sustainable Energy Systems Planning". It discusses how pinch analysis, a process integration technique, can be applied to model multi-objective optimization problems in sustainable energy system planning by considering factors like energy return on investment, cost, and carbon emissions. A case study applying this approach to the energy system in the Philippines is presented, showing a Pareto optimal front of solutions balancing these objectives.
Optimization of reservoir operation using neuro fuzzy techniquesIAEME Publication
The document discusses optimization of reservoir operation using neuro-fuzzy techniques. It summarizes that reservoir operation is traditionally based on heuristic methods that do not account for randomness of inflows and demands. It explores using soft computing tools like artificial neural networks, fuzzy logic, and neuro-fuzzy systems for optimization. The document reviews linear programming, dynamic programming, and evolutionary algorithms as traditional optimization techniques and their limitations for reservoir operation. It discusses standard and optimal operating policies using rule curves and maximizing long-term benefits through dynamic programming.
A two-dimensional mathematical, model is developed to simulate the flow regime,
of the upper part of Dibdibba Formation. The proposed, conceptual model, which is
advocated to simulate the flow regime of aquifer is fixed for one layer, i.e. the activity
of the deeper aquifer is negligible. The model is calibrated using, trial and error
method. According to the calibration process, the hydraulic characteristics of the
upper aquifer has been identified the hydraulic conductivity in the study area ranged
(60-200) m/day while the specific, yield ranges, between, (0.08- 0.45).In this research,
the obtaining of the optimum management of groundwater flow by linked simulationoptimization
model. MODFLOW packages are used to simulate the flow in the system
of groundwater. This model is completed with an optimization model which is
depending on the Genetic Algorithm (GA) and Tabu Search (TS). Two management
cases (fixed well location and flexible well location with the moving, well option)
were considered by executing the model with adopting calibratedparameters. In the,
first case the objective function is converged to a maximum value of (3.35E+5 m3/day)
by using GA, while this function is closed to 4.00E+5 m3/day by using TS. The
objective function in second case converges to the maximum value (7.64E+05m3/day)
and (8.25E+05m3/day) when using GA and TS respectively. The choice option for the
optimal location of the wells in the second case leads to an increase of 106%
This document summarizes a research paper that uses explicit stochastic dynamic programming to determine optimal long-term reservoir operation policies under uncertainty. It begins by introducing reservoir operation as a multistage dynamic stochastic control process and describes how stochastic dynamic programming can account for uncertainties. It then reviews relevant literature on applying stochastic dynamic programming to single and multi-reservoir systems. The document proceeds to describe the DV reservoir system in India that is used as a case study. It provides storage capacities and operational details. Finally, it outlines the stochastic dynamic programming formulation, including the system dynamics, objective function, transition probabilities, and recursive equations used to solve for the optimal policy.
Optimization Analysis of Irrigation Water Using Linear Programpaperpublications3
Abstract: Irrigation water is a resource that is very strategic agriculture, the role of irrigation water has a very large dimensions. These resources not only affect productivity but also affects the spectrum utilization of agricultural commodities. Along with population growth, the demand for irrigation water to produce food (rice) will continue to increase. This is related to the fact that the setting and management of irrigation water are critical to improving agricultural productivity ..
Therefore we need a system of regulation and management of water resources so that irrigation water can be used optimally, including the provision of irrigation water that is tailored to their needs. Provision of irrigation water is the optimal amount of irrigation water supplied from the source through carrier channels (primary and secondary), tertiary canals, until the rice fields as needed.
In this study, the optimization is done by using a Linear Program. Value obtained from this optimization needs irrigation water as needed.
In addition to the optimization is done, to achieve high efficiency and the need for channel maintenance of existing irrigation facilities so not much irrigation water is wasted.
This document describes a methodology for real-time reservoir operation of the Hirakud reservoir in India. The goal is to minimize penalties from deviating from recommended reservoir levels, flows exceeding safe limits downstream, and changes in release rates. The operation will be done in two phases - a calibration phase to determine penalty parameters, and a validation phase. Three historic floods will be used in the calibration phase to evaluate different penalty structures and select the best-performing set of penalties based on reservoir levels, downstream flows, and duration of flood operation.
Estimating Evaporation using Machine Learning Based Ensemble Techniqueijtsrd
Accurately estimating evaporation is necessary for calculating and scheduling irrigation water requirements. Current literature points to the use of individual machine learning models for better estimation of evaporation. However, such methods have not been used in the Indian framework. Moreover, given the diversity of climate, it is necessary to develop an ensemble technique incorporating a significant number of machine learning algorithms to have a better estimation of weekly evaporation. The purpose of this paper is to develop an ensemble technique that makes the machine learning models that have a better estimation of weekly evaporation. The results showed that the Bagging Random Forest model has a much better performance in estimating weekly evaporation compared to other fitted ensemble models. R. S. Parmar | G. B. Chaudhari | S. H. Bhojani "Estimating Evaporation using Machine Learning Based Ensemble Technique" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-7 | Issue-4, August 2023, URL: https://www.ijtsrd.com/papers/ijtsrd59847.pdf Paper Url:https://www.ijtsrd.com/engineering/agricultural-engineering/59847/estimating-evaporation-using-machine-learning-based-ensemble-technique/r-s-parmar
HYDROLOGICAL AND WATER QUALITY MODELLING USING SWAT FOR DONI RIVERIRJET Journal
This document describes using the Soil and Water Assessment Tool (SWAT) model to simulate hydrological and water quality parameters of the Doni River Basin in India over a 20-year period from 1998-2018. The key points are:
- The basin was divided into 7 sub-basins and 15 hydrologic response units. Land use is mainly agricultural (over 85% coverage).
- Model calibration and validation at a gauging site showed good performance, with Nash-Sutcliffe Efficiency values of 0.71 for calibration and 0.78 for validation.
- Modeling results found average annual evapotranspiration of 195 mm and potential evapotranspiration of 402mm. Sediment yield
A linear programming model to optimize cropping pattern in small-scale irriga...Agriculture Journal IJOEAR
Abstract— Selection of a viable irrigation cropping system, while considering all agronomy and extension constraints, has always been a scientific and professional challenge for agricultural scientists and practitioners. However, this prevailing challenge can be scientifically addressed using optimization techniques among them linear programming model. The model could take in the initially introduced percentage of crops as an entry point for optimization subjected to all introduced constraints while maximizing the farming income. Favorably, Microsoft Excel program includes a linear programming solver tool, which could be utilized for this purpose. The solver tool could easily be accessed from Excel program Data menu after activating the Add-Ins part of the Excel Options.
Accordingly, a simple and low input linear model was developed applying the Excel Solver tool to optimize the irrigation cropping pattern for the Mekabo small-scale irrigation scheme currently under construction in the Tigray region in Ethiopia. The input parameters were collected from field surveys and an assessment of the on-farm agronomic conditions. The objective function was subjected to agronomy and extension constraints as well as minimum required crop levels to comply with food security strategy. The model could find a viable solution while all constraints and optimality conditions were satisfied. A sensitivity analysis was also performed to analyze all other likely development scenarios. This paper will introduce the developed model and will discuss the processes led to the attainment of an optimized cropping pattern.
Watershed Management in arid and semiarid region by Utility Factor in Fuzzy E...IRJET Journal
This document presents a study on developing an optimal cropping pattern model for arid and semi-arid regions using fuzzy linear programming. The model aims to maximize returns from available land and water resources by assigning utility values to crops. The model formulates constraints for irrigation intensity, land availability, and water supply. Cost coefficients for crops are fuzzified to determine utility values. The optimal cropping pattern is selected based on maximizing total utility. The model is applied to the Jayakwadi project region in Maharashtra, India to determine the cropping pattern that provides maximum net benefit under available resources.
Effects of statistical properties of dataset in predicting performance of var...iaemedu
This document discusses using artificial intelligence techniques like fuzzy logic and adaptive neuro fuzzy inference systems (ANFIS) to model and predict urban water consumption time series data at different time scales (daily, weekly, monthly). It analyzes water usage data from New Mangalore Port in India to develop and compare prediction models using these methods as well as multiple linear regression. The results show that ANFIS models using Takagi-Sugeno inference performed best, outperforming fuzzy logic models and regression. The effects of varying the length of the input data set and different model structures are also investigated.
3 comparison of actual release schedule and optimalprjpublications
This document summarizes a study that developed a yield model using linear programming to optimize reservoir operations for the Isapur reservoir in India. The study aimed to calculate the optimal irrigation yield and compare it to actual irrigation releases. A linear programming model was formulated to maximize reservoir yield subject to water balance constraints. The model estimated over-year and within-year storage requirements separately. The results were analyzed to compare optimal yields from the model to actual historical irrigation releases and draw conclusions about reservoir performance.
A MODEL DRIVEN OPTIMIZATION APPROACH TO DETERMINE TILT ANGLE OF SOLAR COLLECT...IAEME Publication
The solar systems are an intense need to full fill the energy requirement of developing countries like India. Where, thermal and photovoltaic are the two methods to utilize the solar energy directly from sun. In these methods solar equipments (e.g. flat plat collector and Photovoltaic panel) are kept in tilted position for absorbing maximum solar flux. Hence, finding the optimum tilt angle is the problem of optimization. Therefore, in this paper model driven optimization approach such as particle swarm optimization (PSO) estimator has been proposed to find optimum tilt angle and its results are compared with analytical results. A novel cost function has been applied to determine periodical optimum tilt angle. To validate the performance of PSO estimator results, statistical analysis study is carried out. Where, three statistical approaches such as descriptive method, direct method and Altman-Bland methods are adopted. The PSO estimator results are found satisfactory to ANA results at 95% confidence interval under statistical study.
Prediction droughts using machine learning algorithmJadav Kartik
The document discusses a study that used machine learning algorithms like ANN, SVM, and KNN to develop models for predicting moderate, severe, and extreme droughts over Pakistan. SVM-based models performed best in capturing the temporal and spatial characteristics of droughts. The models analyzed relationships between drought indicators (SPEI) and atmospheric variables (RH, temperature, wind speed) to improve drought prediction in different seasons. While the models showed skill, the study could be expanded by evaluating additional algorithms and reanalysis datasets.
Assessing Water Demand And Supply For Srinagar City (J&K) India, Under Chang...IJMER
The study holds significance keeping in view the global climatic concerns, which began
to cast their shadows on the climate of Jammu and Kashmir as well. In order to accomplish the
present study, WEAP (water evaluation and planning model) of Stockholm Environment Institute
was used. This model is a tool for integrated water resource management and planning like,
forecasting water demand, supply, inflows, outflows, water use, reuse, water quality, priority areas
and Hydropower generation, etc,. During the present study discharge data from 1979-2010 (past
thirty years) of our study rivers i.e., Dachigam Stream and Sindh Stream was used as supply to our
demand sites and also to find the impacts of changing climatic conditions over them. Due to
availability of data upto year 2010 only therefore the scenarios were generated from year 2011
onwards. The water demands for Srinagar i,e., irrigation demands for agriculture and water
supply demands for our domestic needs was analyzed, industrial demands were not analyzed as we
have negligible demands in this sector. The water supplied to our demand sites was mostly
contributed by our study rivers and a little demand was met by ground water. Data was collected
from various agencies like PHE Srinagar, Census data of 2011, Meteorology department etc. This
collected and generated data was given as input to the WEAP model. The model generated the
trends for discharge of our study rivers for next 15 years and at the same time also generated
scenarios calculating our demands and supplies for the future. The model results reveal that there
will be shortages in the requirements met in the urban water needs for some years like 2016, 2017,
2018 and 2020. The results generated from the model outputs will help us in predicting whether
our water resources are going to suffice our growing water needs or not in future. The results will
help in drafting policies for future regarding water supplies and demands under changing climatic
scenarios.
ESTIMATION OF ANNUAL RUNOFF IN INDRAVATI SUB BASIN OF GODAVARI RIVER USING S...AM Publications
Prediction of runoff from known rainfall is one of the major problems confronted by hydrologists. There is lack of availability of long period runoff records in large number of catchments in India. Investigators have proposed many empirical relationships for runoff estimation in different catchments based on limited data of parameters affecting runoff. These regional relationships are useful in planning of water resource projects. This study was carried out to obtain simple yet effective relationship for estimation of annual runoff in Indravati sub Basin of Godavari River. Regression analysis was carried out using annual rainfall, annual runoff and average annual temperature data to develop empirical models for annual runoff estimation. GIS software was used for preparing maps for the study area and to extract the precipitation and temperature data available in grid format from IMD. The best suited empirical model is then selected as per statistical criteria with lower values of standard error, standard deviation, mean absolute deviation (MAD), root mean square error (RMSE) and higher values of R square and correlation coefficient. Statistical significance of selected empirical model was evaluated by paired t test, F test and P value at 95 % confidence level. The developed relationship is then compared with the existing Khosla and Inglis and DeSouza relationships. Outcome of this comparison produces encouraging inferences to suggest an effective regional relationship for annual runoff estimation in the Indravati sub Basin of Godavari River in India.
APPLICATION OF 1-D HEC-RAS MODEL IN DESIGN OF CHANNELSAM Publications
Flood occurs at Surat city frequently due to sudden release of water from Ukai dam in river Tapi. At the
time of floods in river Tapi, Surat city and surrounding regions are most affected. The city has faced many floods
since long back. Major flood event occurred in the year 1883, 1884, 1942,1944,1945,1949, 1959, 1968, 1994, 1998,
2002, 2006, 2007 and 2012. The carrying capacity of river is approximately about 4.5 lakhs cusecs (12753 cumecs) at
present. In this, stability of a segment of lower reach approximately 6 km length of Tapi river between Weir cum
causeway and Sardar bridge is evaluated for its carrying capacity and stability in response to discharge and slopes
using HEC-RAS software for past flood data. The study reach consists of 24 cross-sections. The hydraulics model,
HEC-RAS is employed to evaluate flood conveyance performance and also uniform flow computation is carried out.
In the present study existing storm drains are not only marked but based on the HEC-RAS water surface elevation
computation for various flood discharges, need of flood gates on the storm drains are also assessed. The
recommendations are done based on this study either to increase height of bank or construct a retaining wall at
certain sections along the study reach. The present study also recommends installations of flood gates on all the storm
drain outlets which are without flood gates. The width of river in no case be encroached as sections are sensitive high
floods.
Comparative Study of the Utilization of Geothermal Energy in Various Ways in ...IRJET Journal
This document provides a comparative study of geothermal energy utilization in India and other parts of the world. It discusses geothermal energy sites and potential in India and globally. In India, around 400 hot springs are located across 10 provinces, with surface temperatures ranging from 47-98°C. Major countries for geothermal energy include the US, Philippines, Indonesia, and Iceland. The document also examines geothermal power plant capacity, with the largest being in the US, Philippines, and Iceland. Examples of geothermal heating and cooling system projects are provided for both India and other countries.
Comparison of the Various Waste to Energy Technologies and Selection of the T...rahulmonikasharma
The urbanization and growth of the state of Sikkim poses a grave environmental hazard to the state in the way of Municipal Solid Waste (MSW). The waste generated in the state of Sikkim today stands at 106 Tonnes per day which although is quite small compared to other states, but for the tiny state which has about 70% of land as protected or covered under forest or uninhabitable, finding lands for creating land fills is a big problem. This paper tries to find a solution to the problem by finding a suitable method for converting of the waste generated into energy by studying and comparing the various Waste to Energy (WTE) technologies.
3 sites selection and technology options for a marine energy system02shubhank1997
This document presents a methodology for selecting optimal marine sites and technology options for marine energy systems. The methodology combines geographic information systems, multi-criteria analysis, and an optimization algorithm. It allows decision-makers to evaluate social acceptance, technical limitations, environmental factors, and identify the best marine areas for installation. The methodology is demonstrated through a case study of installing marine current turbines in the Raz de Sein area off the coast of France.
IRJET- Smart Farming Crop Yield Prediction using Machine LearningIRJET Journal
The document proposes a method for smart farming and crop yield prediction using machine learning algorithms like Support Vector Machine and Random Forest. Historical agricultural data on factors like moisture, rainfall, temperature and humidity is collected and analyzed to predict crop yields and whether conditions will be excellent, good, or poor. The goal is to help farmers increase profits by providing insights into how environmental conditions impact crops.
A review of techniques in optimal sizing of hybrid renewable energy systemseSAT Journals
Abstract This paper presents a review of techniques usedin recent published works on optimal sizing of hybrid renewable energy sources. Hybridization of renewable energy sources is an emergent promising trend born out of the need to fully utilize and solve problems associated with the reliability of renewable energy resources such as wind and solar. Exploitation of these resources has been instrumental in tackling or mitigating present day energy problems such as price instability for fossil based fuels, global warming and climate change in addition to being seen as way of meeting future demand for power. This paper targets researchers in the renewable energy space and the general public seeking to inform them on trends in methods applied in optimal sizing of hybrid renewable energy sources as well as to provide a scope into what has been done in this field. In reviewing previous works, a two prong approach has been used focusing attention on the sizing methods used in the reviewed works as well as the performance indices used to check quality by these works. In summary there is a clear indication of increased interest in recent years in optimal sizing of hybrid renewable energy resources with metaheuristic approaches such as Genetic Algorithms and Particle Swarm Optimization coming out as very interesting to researchers. It has also been observed that resources being hybridized are those with complementary regimes on specific sites.
Index Terms - Energy storage, hybrid power systems, optimization methods, renewable energy sources, reviews, solar energy, wind energy.
This document summarizes a presentation given at the 4th International Conference on Advances in Energy Research titled "Pinch Analysis for MultiDimensional Sustainable Energy Systems Planning". It discusses how pinch analysis, a process integration technique, can be applied to model multi-objective optimization problems in sustainable energy system planning by considering factors like energy return on investment, cost, and carbon emissions. A case study applying this approach to the energy system in the Philippines is presented, showing a Pareto optimal front of solutions balancing these objectives.
Optimization of reservoir operation using neuro fuzzy techniquesIAEME Publication
The document discusses optimization of reservoir operation using neuro-fuzzy techniques. It summarizes that reservoir operation is traditionally based on heuristic methods that do not account for randomness of inflows and demands. It explores using soft computing tools like artificial neural networks, fuzzy logic, and neuro-fuzzy systems for optimization. The document reviews linear programming, dynamic programming, and evolutionary algorithms as traditional optimization techniques and their limitations for reservoir operation. It discusses standard and optimal operating policies using rule curves and maximizing long-term benefits through dynamic programming.
A two-dimensional mathematical, model is developed to simulate the flow regime,
of the upper part of Dibdibba Formation. The proposed, conceptual model, which is
advocated to simulate the flow regime of aquifer is fixed for one layer, i.e. the activity
of the deeper aquifer is negligible. The model is calibrated using, trial and error
method. According to the calibration process, the hydraulic characteristics of the
upper aquifer has been identified the hydraulic conductivity in the study area ranged
(60-200) m/day while the specific, yield ranges, between, (0.08- 0.45).In this research,
the obtaining of the optimum management of groundwater flow by linked simulationoptimization
model. MODFLOW packages are used to simulate the flow in the system
of groundwater. This model is completed with an optimization model which is
depending on the Genetic Algorithm (GA) and Tabu Search (TS). Two management
cases (fixed well location and flexible well location with the moving, well option)
were considered by executing the model with adopting calibratedparameters. In the,
first case the objective function is converged to a maximum value of (3.35E+5 m3/day)
by using GA, while this function is closed to 4.00E+5 m3/day by using TS. The
objective function in second case converges to the maximum value (7.64E+05m3/day)
and (8.25E+05m3/day) when using GA and TS respectively. The choice option for the
optimal location of the wells in the second case leads to an increase of 106%
This document summarizes a research paper that uses explicit stochastic dynamic programming to determine optimal long-term reservoir operation policies under uncertainty. It begins by introducing reservoir operation as a multistage dynamic stochastic control process and describes how stochastic dynamic programming can account for uncertainties. It then reviews relevant literature on applying stochastic dynamic programming to single and multi-reservoir systems. The document proceeds to describe the DV reservoir system in India that is used as a case study. It provides storage capacities and operational details. Finally, it outlines the stochastic dynamic programming formulation, including the system dynamics, objective function, transition probabilities, and recursive equations used to solve for the optimal policy.
Optimization Analysis of Irrigation Water Using Linear Programpaperpublications3
Abstract: Irrigation water is a resource that is very strategic agriculture, the role of irrigation water has a very large dimensions. These resources not only affect productivity but also affects the spectrum utilization of agricultural commodities. Along with population growth, the demand for irrigation water to produce food (rice) will continue to increase. This is related to the fact that the setting and management of irrigation water are critical to improving agricultural productivity ..
Therefore we need a system of regulation and management of water resources so that irrigation water can be used optimally, including the provision of irrigation water that is tailored to their needs. Provision of irrigation water is the optimal amount of irrigation water supplied from the source through carrier channels (primary and secondary), tertiary canals, until the rice fields as needed.
In this study, the optimization is done by using a Linear Program. Value obtained from this optimization needs irrigation water as needed.
In addition to the optimization is done, to achieve high efficiency and the need for channel maintenance of existing irrigation facilities so not much irrigation water is wasted.
This document describes a methodology for real-time reservoir operation of the Hirakud reservoir in India. The goal is to minimize penalties from deviating from recommended reservoir levels, flows exceeding safe limits downstream, and changes in release rates. The operation will be done in two phases - a calibration phase to determine penalty parameters, and a validation phase. Three historic floods will be used in the calibration phase to evaluate different penalty structures and select the best-performing set of penalties based on reservoir levels, downstream flows, and duration of flood operation.
Estimating Evaporation using Machine Learning Based Ensemble Techniqueijtsrd
Accurately estimating evaporation is necessary for calculating and scheduling irrigation water requirements. Current literature points to the use of individual machine learning models for better estimation of evaporation. However, such methods have not been used in the Indian framework. Moreover, given the diversity of climate, it is necessary to develop an ensemble technique incorporating a significant number of machine learning algorithms to have a better estimation of weekly evaporation. The purpose of this paper is to develop an ensemble technique that makes the machine learning models that have a better estimation of weekly evaporation. The results showed that the Bagging Random Forest model has a much better performance in estimating weekly evaporation compared to other fitted ensemble models. R. S. Parmar | G. B. Chaudhari | S. H. Bhojani "Estimating Evaporation using Machine Learning Based Ensemble Technique" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-7 | Issue-4, August 2023, URL: https://www.ijtsrd.com/papers/ijtsrd59847.pdf Paper Url:https://www.ijtsrd.com/engineering/agricultural-engineering/59847/estimating-evaporation-using-machine-learning-based-ensemble-technique/r-s-parmar
HYDROLOGICAL AND WATER QUALITY MODELLING USING SWAT FOR DONI RIVERIRJET Journal
This document describes using the Soil and Water Assessment Tool (SWAT) model to simulate hydrological and water quality parameters of the Doni River Basin in India over a 20-year period from 1998-2018. The key points are:
- The basin was divided into 7 sub-basins and 15 hydrologic response units. Land use is mainly agricultural (over 85% coverage).
- Model calibration and validation at a gauging site showed good performance, with Nash-Sutcliffe Efficiency values of 0.71 for calibration and 0.78 for validation.
- Modeling results found average annual evapotranspiration of 195 mm and potential evapotranspiration of 402mm. Sediment yield
A linear programming model to optimize cropping pattern in small-scale irriga...Agriculture Journal IJOEAR
Abstract— Selection of a viable irrigation cropping system, while considering all agronomy and extension constraints, has always been a scientific and professional challenge for agricultural scientists and practitioners. However, this prevailing challenge can be scientifically addressed using optimization techniques among them linear programming model. The model could take in the initially introduced percentage of crops as an entry point for optimization subjected to all introduced constraints while maximizing the farming income. Favorably, Microsoft Excel program includes a linear programming solver tool, which could be utilized for this purpose. The solver tool could easily be accessed from Excel program Data menu after activating the Add-Ins part of the Excel Options.
Accordingly, a simple and low input linear model was developed applying the Excel Solver tool to optimize the irrigation cropping pattern for the Mekabo small-scale irrigation scheme currently under construction in the Tigray region in Ethiopia. The input parameters were collected from field surveys and an assessment of the on-farm agronomic conditions. The objective function was subjected to agronomy and extension constraints as well as minimum required crop levels to comply with food security strategy. The model could find a viable solution while all constraints and optimality conditions were satisfied. A sensitivity analysis was also performed to analyze all other likely development scenarios. This paper will introduce the developed model and will discuss the processes led to the attainment of an optimized cropping pattern.
Watershed Management in arid and semiarid region by Utility Factor in Fuzzy E...IRJET Journal
This document presents a study on developing an optimal cropping pattern model for arid and semi-arid regions using fuzzy linear programming. The model aims to maximize returns from available land and water resources by assigning utility values to crops. The model formulates constraints for irrigation intensity, land availability, and water supply. Cost coefficients for crops are fuzzified to determine utility values. The optimal cropping pattern is selected based on maximizing total utility. The model is applied to the Jayakwadi project region in Maharashtra, India to determine the cropping pattern that provides maximum net benefit under available resources.
Effects of statistical properties of dataset in predicting performance of var...iaemedu
This document discusses using artificial intelligence techniques like fuzzy logic and adaptive neuro fuzzy inference systems (ANFIS) to model and predict urban water consumption time series data at different time scales (daily, weekly, monthly). It analyzes water usage data from New Mangalore Port in India to develop and compare prediction models using these methods as well as multiple linear regression. The results show that ANFIS models using Takagi-Sugeno inference performed best, outperforming fuzzy logic models and regression. The effects of varying the length of the input data set and different model structures are also investigated.
3 comparison of actual release schedule and optimalprjpublications
This document summarizes a study that developed a yield model using linear programming to optimize reservoir operations for the Isapur reservoir in India. The study aimed to calculate the optimal irrigation yield and compare it to actual irrigation releases. A linear programming model was formulated to maximize reservoir yield subject to water balance constraints. The model estimated over-year and within-year storage requirements separately. The results were analyzed to compare optimal yields from the model to actual historical irrigation releases and draw conclusions about reservoir performance.
This document presents a study that developed a linear programming yield model to optimize reservoir operations for the Isapur reservoir in India. The yield model was used to calculate the optimal annual irrigation yield from the reservoir under different reliability targets. The model considered factors like monthly inflows, irrigation demands, and evaporation losses. The actual irrigation releases from the reservoir over 28 years were also collected. The yield model results were then compared to the actual historical releases to evaluate how well the model performed and identify opportunities to improve reservoir operations. Key findings and conclusions from this comparison are presented.
IRJET-Review Paper on Drainage Water Cleaner MachineIRJET Journal
This document provides a review of different drainage water cleaner machines. It begins with an abstract that discusses how wastewater is characterized as used water from homes, industries, etc. that is treated at treatment plants before being returned to the environment. It then discusses various wastewater treatment processes and how treatment plants typically include primary and secondary treatment. The introduction provides an overview of the proposed drainage water cleaner system that uses mechanical control techniques to clean and control drainage levels automatically. The literature review summarizes 14 other research papers on topics related to drainage water treatment, cleaning systems, and monitoring technologies.
IRJET - Kinetic Model on the Performance of an Anaerobic Baffled Reactor for ...IRJET Journal
The document describes a study that evaluated the performance of an anaerobic baffled reactor (ABR) in treating textile wastewater at different hydraulic retention times (HRTs). Three kinetic models - first order, cubic polynomial, and quadratic polynomial - were applied to determine the substrate removal kinetics in the ABR. The cubic polynomial model provided the best fit with the experimental data, accurately predicting the chemical oxygen demand (COD) concentrations with correlation coefficients ranging from 0.9543 to 0.9999. This shows that the cubic polynomial model is suitable for describing organic removal kinetics in an ABR system treating real textile dye wastewater.
DEVELOPMENT OF CLEAN WATER DISTRIBUTION NETWORK CAPACITY BY USING WATERCADIAEME Publication
This document describes a study that used WaterCAD software to analyze and develop the clean water distribution network for Kedungkandang District in Malang, Indonesia. The study projected the population to reach 27,284 people by 2031. It determined the average daily clean water need would be 41,763 liters/second and peak hour need would be 65,150 liters/second. Hydraulic simulations found the water pressure would be between 1.6-2.3 atmospheres and velocities between 0.47-1.85 meters/second, meeting design criteria. The study concluded the existing network was sufficient with some pipe diameter changes required for development.
Welcome to International Journal of Engineering Research and Development (IJERD)IJERD Editor
This document provides an overview of various optimization techniques that have been used for operating multi-reservoir systems, including linear programming, non-linear programming, and dynamic programming. It describes how each technique works and examples of its applications to reservoir systems. Dynamic programming is highlighted as being well-suited for reservoir operations given their multi-stage decision process nature, but it faces computational challenges for problems with more than a few state variables. The document also discusses how combinations of techniques, like linear programming and dynamic programming, have been used to help address some of the limitations.
A major challenge in hydrological modelling is to identification of optimal
parameter set of different data, catchment characteristics and objectives. Although, the
identification of optimal parameter set is difficult because of conceptual hydrological
models contain more number of parameters and accuracy also depends upon all the
relevant number of parameters influencing in a model. This identification process
cannot estimate directly and therefore it measured based on calibrating the model
which minimizing an objective function. Here, the objective function can depend upon
the sensitivity of model parameters and calibration of model. In this paper, we proposed
the Emulator Based Optimization (EBO) for reducing number of runs and improving
conceptual model efficiency. Where, emulator models are used to represent the
response surface of the simulation models and it can play a valuable role for
optimization. In this study evaluates EBO for calibrating of SWAT hydrological model
with following steps like input design, simulation model, emulator modelling,
convergence criteria and validation. The results show that EBO calibrates the model
with high accuracy and it captured the observed model with consuming less time. This
study helps for decision making, planning and designing of water resources.
The document describes a study on optimal crop planning for a diversion scheme project in Mahaboobnagar, Andhra Pradesh, India.
It formulates three single objective functions for a multi-crop model with two seasons - maximizing net benefits, minimizing costs, and minimizing water usage. Constraints include available water, land, and investment costs. The study area, Rajolibanda Diversion scheme, provides irrigation to around 60,000 acres.
Linear programming is used to optimize crop area allocation and maximize annual net benefits. The results reveal optimization can significantly improve agricultural production and economic returns from the project by determining the best crop planting areas.
Smart Irrigation System using Machine Learning and IoTIRJET Journal
This document describes a smart irrigation system that uses IoT sensors, machine learning, and cloud computing. Soil moisture, temperature, and humidity sensors collect field data and send it to a cloud-based server. A machine learning model analyzes the data to make irrigation recommendations. The system aims to optimize water usage and minimize human intervention. It allows for customized ML techniques to advance precision agriculture. This could lower costs for farmers and help ensure crop yields amid changing water availability.
DESIGN OF SOFTWARE BASED WATER DISTRIBUTION SYSTEM FOR A VILLAGEIRJET Journal
This document describes the design of a software-based water distribution system for Ratnappa Kumbhar Nagar, a village in Kolhapur district, Maharashtra, India using WaterGEMS software. Currently, the village receives intermittent water supply from municipal and state sources. The objectives of the study are to assess current water demand, identify deficiencies in the existing system, and design a new system for 24/7 water supply. Data on population, water usage, and infrastructure is collected and analyzed. The new distribution network is designed and modeled in WaterGEMS. The results show improved pressure distribution across the network to meet daily water demand. The proposed new system is expected to provide reliable water supply with sufficient quantity and pressure.
Similar to Optimal reservoir operation for irrigation of crops using genetic algorithm a case study of sukhi reservoir project (20)
Submission Deadline: 30th September 2022
Acceptance Notification: Within Three Days’ time period
Online Publication: Within 24 Hrs. time Period
Expected Date of Dispatch of Printed Journal: 5th October 2022
MODELING AND ANALYSIS OF SURFACE ROUGHNESS AND WHITE LATER THICKNESS IN WIRE-...IAEME Publication
White layer thickness (WLT) formed and surface roughness in wire electric discharge turning (WEDT) of tungsten carbide composite has been made to model through response surface methodology (RSM). A Taguchi’s standard Design of experiments involving five input variables with three levels has been employed to establish a mathematical model between input parameters and responses. Percentage of cobalt content, spindle speed, Pulse on-time, wire feed and pulse off-time were changed during the experimental tests based on the Taguchi’s orthogonal array L27 (3^13). Analysis of variance (ANOVA) revealed that the mathematical models obtained can adequately describe performance within the parameters of the factors considered. There was a good agreement between the experimental and predicted values in this study.
A STUDY ON THE REASONS FOR TRANSGENDER TO BECOME ENTREPRENEURSIAEME Publication
The study explores the reasons for a transgender to become entrepreneurs. In this study transgender entrepreneur was taken as independent variable and reasons to become as dependent variable. Data were collected through a structured questionnaire containing a five point Likert Scale. The study examined the data of 30 transgender entrepreneurs in Salem Municipal Corporation of Tamil Nadu State, India. Simple Random sampling technique was used. Garrett Ranking Technique (Percentile Position, Mean Scores) was used as the analysis for the present study to identify the top 13 stimulus factors for establishment of trans entrepreneurial venture. Economic advancement of a nation is governed upon the upshot of a resolute entrepreneurial doings. The conception of entrepreneurship has stretched and materialized to the socially deflated uncharted sections of transgender community. Presently transgenders have smashed their stereotypes and are making recent headlines of achievements in various fields of our Indian society. The trans-community is gradually being observed in a new light and has been trying to achieve prospective growth in entrepreneurship. The findings of the research revealed that the optimistic changes are taking place to change affirmative societal outlook of the transgender for entrepreneurial ventureship. It also laid emphasis on other transgenders to renovate their traditional living. The paper also highlights that legislators, supervisory body should endorse an impartial canons and reforms in Tamil Nadu Transgender Welfare Board Association.
BROAD UNEXPOSED SKILLS OF TRANSGENDER ENTREPRENEURSIAEME Publication
Since ages gender difference is always a debatable theme whether caused by nature, evolution or environment. The birth of a transgender is dreadful not only for the child but also for their parents. The pain of living in the wrong physique and treated as second class victimized citizen is outrageous and fully harboured with vicious baseless negative scruples. For so long, social exclusion had perpetuated inequality and deprivation experiencing ingrained malign stigma and besieged victims of crime or violence across their life spans. They are pushed into the murky way of life with a source of eternal disgust, bereft sexual potency and perennial fear. Although they are highly visible but very little is known about them. The common public needs to comprehend the ravaged arrogance on these insensitive souls and assist in integrating them into the mainstream by offering equal opportunity, treat with humanity and respect their dignity. Entrepreneurship in the current age is endorsing the gender fairness movement. Unstable careers and economic inadequacy had inclined one of the gender variant people called Transgender to become entrepreneurs. These tiny budding entrepreneurs resulted in economic transition by means of employment, free from the clutches of stereotype jobs, raised standard of living and handful of financial empowerment. Besides all these inhibitions, they were able to witness a platform for skill set development that ignited them to enter into entrepreneurial domain. This paper epitomizes skill sets involved in trans-entrepreneurs of Thoothukudi Municipal Corporation of Tamil Nadu State and is a groundbreaking determination to sightsee various skills incorporated and the impact on entrepreneurship.
DETERMINANTS AFFECTING THE USER'S INTENTION TO USE MOBILE BANKING APPLICATIONSIAEME Publication
The banking and financial services industries are experiencing increased technology penetration. Among them, the banking industry has made technological advancements to better serve the general populace. The economy focused on transforming the banking sector's system into a cashless, paperless, and faceless one. The researcher wants to evaluate the user's intention for utilising a mobile banking application. The study also examines the variables affecting the user's behaviour intention when selecting specific applications for financial transactions. The researcher employed a well-structured questionnaire and a descriptive study methodology to gather the respondents' primary data utilising the snowball sampling technique. The study includes variables like performance expectations, effort expectations, social impact, enabling circumstances, and perceived risk. Each of the aforementioned variables has a major impact on how users utilise mobile banking applications. The outcome will assist the service provider in comprehending the user's history with mobile banking applications.
ANALYSE THE USER PREDILECTION ON GPAY AND PHONEPE FOR DIGITAL TRANSACTIONSIAEME Publication
Technology upgradation in banking sector took the economy to view that payment mode towards online transactions using mobile applications. This system enabled connectivity between banks, Merchant and user in a convenient mode. there are various applications used for online transactions such as Google pay, Paytm, freecharge, mobikiwi, oxygen, phonepe and so on and it also includes mobile banking applications. The study aimed at evaluating the predilection of the user in adopting digital transaction. The study is descriptive in nature. The researcher used random sample techniques to collect the data. The findings reveal that mobile applications differ with the quality of service rendered by Gpay and Phonepe. The researcher suggest the Phonepe application should focus on implementing the application should be user friendly interface and Gpay on motivating the users to feel the importance of request for money and modes of payments in the application.
VOICE BASED ATM FOR VISUALLY IMPAIRED USING ARDUINOIAEME Publication
The prototype of a voice-based ATM for visually impaired using Arduino is to help people who are blind. This uses RFID cards which contain users fingerprint encrypted on it and interacts with the users through voice commands. ATM operates when sensor detects the presence of one person in the cabin. After scanning the RFID card, it will ask to select the mode like –normal or blind. User can select the respective mode through voice input, if blind mode is selected the balance check or cash withdraw can be done through voice input. Normal mode procedure is same as the existing ATM.
IMPACT OF EMOTIONAL INTELLIGENCE ON HUMAN RESOURCE MANAGEMENT PRACTICES AMONG...IAEME Publication
There is increasing acceptability of emotional intelligence as a major factor in personality assessment and effective human resource management. Emotional intelligence as the ability to build capacity, empathize, co-operate, motivate and develop others cannot be divorced from both effective performance and human resource management systems. The human person is crucial in defining organizational leadership and fortunes in terms of challenges and opportunities and walking across both multinational and bilateral relationships. The growing complexity of the business world requires a great deal of self-confidence, integrity, communication, conflict and diversity management to keep the global enterprise within the paths of productivity and sustainability. Using the exploratory research design and 255 participants the result of this original study indicates strong positive correlation between emotional intelligence and effective human resource management. The paper offers suggestions on further studies between emotional intelligence and human capital development and recommends for conflict management as an integral part of effective human resource management.
VISUALISING AGING PARENTS & THEIR CLOSE CARERS LIFE JOURNEY IN AGING ECONOMYIAEME Publication
Our life journey, in general, is closely defined by the way we understand the meaning of why we coexist and deal with its challenges. As we develop the "inspiration economy", we could say that nearly all of the challenges we have faced are opportunities that help us to discover the rest of our journey. In this note paper, we explore how being faced with the opportunity of being a close carer for an aging parent with dementia brought intangible discoveries that changed our insight of the meaning of the rest of our life journey.
A STUDY ON THE IMPACT OF ORGANIZATIONAL CULTURE ON THE EFFECTIVENESS OF PERFO...IAEME Publication
The main objective of this study is to analyze the impact of aspects of Organizational Culture on the Effectiveness of the Performance Management System (PMS) in the Health Care Organization at Thanjavur. Organizational Culture and PMS play a crucial role in present-day organizations in achieving their objectives. PMS needs employees’ cooperation to achieve its intended objectives. Employees' cooperation depends upon the organization’s culture. The present study uses exploratory research to examine the relationship between the Organization's culture and the Effectiveness of the Performance Management System. The study uses a Structured Questionnaire to collect the primary data. For this study, Thirty-six non-clinical employees were selected from twelve randomly selected Health Care organizations at Thanjavur. Thirty-two fully completed questionnaires were received.
Living in 21st century in itself reminds all of us the necessity of police and its administration. As more and more we are entering into the modern society and culture, the more we require the services of the so called ‘Khaki Worthy’ men i.e., the police personnel. Whether we talk of Indian police or the other nation’s police, they all have the same recognition as they have in India. But as already mentioned, their services and requirements are different after the like 26th November, 2008 incidents, where they without saving their own lives has sacrificed themselves without any hitch and without caring about their respective family members and wards. In other words, they are like our heroes and mentors who can guide us from the darkness of fear, militancy, corruption and other dark sides of life and so on. Now the question arises, if Gandhi would have been alive today, what would have been his reaction/opinion to the police and its functioning? Would he have some thing different in his mind now what he had been in his mind before the partition or would he be going to start some Satyagraha in the form of some improvement in the functioning of the police administration? Really these questions or rather night mares can come to any one’s mind, when there is too much confusion is prevailing in our minds, when there is too much corruption in the society and when the polices working is also in the questioning because of one or the other case throughout the India. It is matter of great concern that we have to thing over our administration and our practical approach because the police personals are also like us, they are part and parcel of our society and among one of us, so why we all are pin pointing towards them.
A STUDY ON TALENT MANAGEMENT AND ITS IMPACT ON EMPLOYEE RETENTION IN SELECTED...IAEME Publication
The goal of this study was to see how talent management affected employee retention in the selected IT organizations in Chennai. The fundamental issue was the difficulty to attract, hire, and retain talented personnel who perform well and the gap between supply and demand of talent acquisition and retaining them within the firms. The study's main goals were to determine the impact of talent management on employee retention in IT companies in Chennai, investigate talent management strategies that IT companies could use to improve talent acquisition, performance management, career planning and formulate retention strategies that the IT firms could use. The respondents were given a structured close-ended questionnaire with the 5 Point Likert Scale as part of the study's quantitative research design. The target population consisted of 289 IT professionals. The questionnaires were distributed and collected by the researcher directly. The Statistical Package for Social Sciences (SPSS) was used to collect and analyse the questionnaire responses. Hypotheses that were formulated for the various areas of the study were tested using a variety of statistical tests. The key findings of the study suggested that talent management had an impact on employee retention. The studies also found that there is a clear link between the implementation of talent management and retention measures. Management should provide enough training and development for employees, clarify job responsibilities, provide adequate remuneration packages, and recognise employees for exceptional performance.
ATTRITION IN THE IT INDUSTRY DURING COVID-19 PANDEMIC: LINKING EMOTIONAL INTE...IAEME Publication
Globally, Millions of dollars were spent by the organizations for employing skilled Information Technology (IT) professionals. It is costly to replace unskilled employees with IT professionals possessing technical skills and competencies that aid in interconnecting the business processes. The organization’s employment tactics were forced to alter by globalization along with technological innovations as they consistently diminish to remain lean, outsource to concentrate on core competencies along with restructuring/reallocate personnel to gather efficiency. As other jobs, organizations or professions have become reasonably more appropriate in a shifting employment landscape, the above alterations trigger both involuntary as well as voluntary turnover. The employee view on jobs is also afflicted by the COVID-19 pandemic along with the employee-driven labour market. So, having effective strategies is necessary to tackle the withdrawal rate of employees. By associating Emotional Intelligence (EI) along with Talent Management (TM) in the IT industry, the rise in attrition rate was analyzed in this study. Only 303 respondents were collected out of 350 participants to whom questionnaires were distributed. From the employees of IT organizations located in Bangalore (India), the data were congregated. A simple random sampling methodology was employed to congregate data as of the respondents. Generating the hypothesis along with testing is eventuated. The effect of EI and TM along with regression analysis between TM and EI was analyzed. The outcomes indicated that employee and Organizational Performance (OP) were elevated by effective EI along with TM.
INFLUENCE OF TALENT MANAGEMENT PRACTICES ON ORGANIZATIONAL PERFORMANCE A STUD...IAEME Publication
By implementing talent management strategy, organizations would have the option to retain their skilled professionals while additionally working on their overall performance. It is the course of appropriately utilizing the ideal individuals, setting them up for future top positions, exploring and dealing with their performance, and holding them back from leaving the organization. It is employee performance that determines the success of every organization. The firm quickly obtains an upper hand over its rivals in the event that its employees having particular skills that cannot be duplicated by the competitors. Thus, firms are centred on creating successful talent management practices and processes to deal with the unique human resources. Firms are additionally endeavouring to keep their top/key staff since on the off chance that they leave; the whole store of information leaves the firm's hands. The study's objective was to determine the impact of talent management on organizational performance among the selected IT organizations in Chennai. The study recommends that talent management limitedly affects performance. On the off chance that this talent is appropriately management and implemented properly, organizations might benefit as much as possible from their maintained assets to support development and productivity, both monetarily and non-monetarily.
A STUDY OF VARIOUS TYPES OF LOANS OF SELECTED PUBLIC AND PRIVATE SECTOR BANKS...IAEME Publication
Banking regulations act of India, 1949 defines banking as “acceptance of deposits for the purpose of lending or investment from the public, repayment on demand or otherwise and withdrawable through cheques, drafts order or otherwise”, the major participants of the Indian financial system are commercial banks, the financial institution encompassing term lending institutions. Investments institutions, specialized financial institution and the state level development banks, non banking financial companies (NBFC) and other market intermediaries such has the stock brokers and money lenders are among the oldest of the certain variants of NBFC and the oldest market participants. The asset quality of banks is one of the most important indicators of their financial health. The Indian banking sector has been facing severe problems of increasing Non- Performing Assets (NPAs). The NPAs growth directly and indirectly affects the quality of assets and profitability of banks. It also shows the efficiency of banks credit risk management and the recovery effectiveness. NPA do not generate any income, whereas, the bank is required to make provisions for such as assets that why is a double edge weapon. This paper outlines the concept of quality of bank loans of different types like Housing, Agriculture and MSME loans in state Haryana of selected public and private sector banks. This study is highlighting problems associated with the role of commercial bank in financing Small and Medium Scale Enterprises (SME). The overall objective of the research was to assess the effect of the financing provisions existing for the setting up and operations of MSMEs in the country and to generate recommendations for more robust financing mechanisms for successful operation of the MSMEs, in turn understanding the impact of MSME loans on financial institutions due to NPA. There are many research conducted on the topic of Non- Performing Assets (NPA) Management, concerning particular bank, comparative study of public and private banks etc. In this paper the researcher is considering the aggregate data of selected public sector and private sector banks and attempts to compare the NPA of Housing, Agriculture and MSME loans in state Haryana of public and private sector banks. The tools used in the study are average and Anova test and variance. The findings reveal that NPA is common problem for both public and private sector banks and is associated with all types of loans either that is housing loans, agriculture loans and loans to SMES. NPAs of both public and private sector banks show the increasing trend. In 2010-11 GNPA of public and private sector were at same level it was 2% but after 2010-11 it increased in many fold and at present there is GNPA in some more than 15%. It shows the dark area of Indian banking sector.
EXPERIMENTAL STUDY OF MECHANICAL AND TRIBOLOGICAL RELATION OF NYLON/BaSO4 POL...IAEME Publication
An experiment conducted in this study found that BaSO4 changed Nylon 6's mechanical properties. By changing the weight ratios, BaSO4 was used to make Nylon 6. This Researcher looked into how hard Nylon-6/BaSO4 composites are and how well they wear. Experiments were done based on Taguchi design L9. Nylon-6/BaSO4 composites can be tested for their hardness number using a Rockwell hardness testing apparatus. On Nylon/BaSO4, the wear behavior was measured by a wear monitor, pinon-disc friction by varying reinforcement, sliding speed, and sliding distance, and the microstructure of the crack surfaces was observed by SEM. This study provides significant contributions to ultimate strength by increasing BaSO4 content up to 16% in the composites, and sliding speed contributes 72.45% to the wear rate
ROLE OF SOCIAL ENTREPRENEURSHIP IN RURAL DEVELOPMENT OF INDIA - PROBLEMS AND ...IAEME Publication
The majority of the population in India lives in villages. The village is the back bone of the country. Village or rural industries play an important role in the national economy, particularly in the rural development. Developing the rural economy is one of the key indicators towards a country’s success. Whether it be the need to look after the welfare of the farmers or invest in rural infrastructure, Governments have to ensure that rural development isn’t compromised. The economic development of our country largely depends on the progress of rural areas and the standard of living of rural masses. Village or rural industries play an important role in the national economy, particularly in the rural development. Rural entrepreneurship is based on stimulating local entrepreneurial talent and the subsequent growth of indigenous enterprises. It recognizes opportunity in the rural areas and accelerates a unique blend of resources either inside or outside of agriculture. Rural entrepreneurship brings an economic value to the rural sector by creating new methods of production, new markets, new products and generate employment opportunities thereby ensuring continuous rural development. Social Entrepreneurship has the direct and primary objective of serving the society along with the earning profits. So, social entrepreneurship is different from the economic entrepreneurship as its basic objective is not to earn profits but for providing innovative solutions to meet the society needs which are not taken care by majority of the entrepreneurs as they are in the business for profit making as a sole objective. So, the Social Entrepreneurs have the huge growth potential particularly in the developing countries like India where we have huge societal disparities in terms of the financial positions of the population. Still 22 percent of the Indian population is below the poverty line and also there is disparity among the rural & urban population in terms of families living under BPL. 25.7 percent of the rural population & 13.7 percent of the urban population is under BPL which clearly shows the disparity of the poor people in the rural and urban areas. The need to develop social entrepreneurship in agriculture is dictated by a large number of social problems. Such problems include low living standards, unemployment, and social tension. The reasons that led to the emergence of the practice of social entrepreneurship are the above factors. The research problem lays upon disclosing the importance of role of social entrepreneurship in rural development of India. The paper the tendencies of social entrepreneurship in India, to present successful examples of such business for providing recommendations how to improve situation in rural areas in terms of social entrepreneurship development. Indian government has made some steps towards development of social enterprises, social entrepreneurship, and social in- novation, but a lot remains to be improved.
OPTIMAL RECONFIGURATION OF POWER DISTRIBUTION RADIAL NETWORK USING HYBRID MET...IAEME Publication
Distribution system is a critical link between the electric power distributor and the consumers. Most of the distribution networks commonly used by the electric utility is the radial distribution network. However in this type of network, it has technical issues such as enormous power losses which affect the quality of the supply. Nowadays, the introduction of Distributed Generation (DG) units in the system help improve and support the voltage profile of the network as well as the performance of the system components through power loss mitigation. In this study network reconfiguration was done using two meta-heuristic algorithms Particle Swarm Optimization and Gravitational Search Algorithm (PSO-GSA) to enhance power quality and voltage profile in the system when simultaneously applied with the DG units. Backward/Forward Sweep Method was used in the load flow analysis and simulated using the MATLAB program. Five cases were considered in the Reconfiguration based on the contribution of DG units. The proposed method was tested using IEEE 33 bus system. Based on the results, there was a voltage profile improvement in the system from 0.9038 p.u. to 0.9594 p.u.. The integration of DG in the network also reduced power losses from 210.98 kW to 69.3963 kW. Simulated results are drawn to show the performance of each case.
APPLICATION OF FRUGAL APPROACH FOR PRODUCTIVITY IMPROVEMENT - A CASE STUDY OF...IAEME Publication
Manufacturing industries have witnessed an outburst in productivity. For productivity improvement manufacturing industries are taking various initiatives by using lean tools and techniques. However, in different manufacturing industries, frugal approach is applied in product design and services as a tool for improvement. Frugal approach contributed to prove less is more and seems indirectly contributing to improve productivity. Hence, there is need to understand status of frugal approach application in manufacturing industries. All manufacturing industries are trying hard and putting continuous efforts for competitive existence. For productivity improvements, manufacturing industries are coming up with different effective and efficient solutions in manufacturing processes and operations. To overcome current challenges, manufacturing industries have started using frugal approach in product design and services. For this study, methodology adopted with both primary and secondary sources of data. For primary source interview and observation technique is used and for secondary source review has done based on available literatures in website, printed magazines, manual etc. An attempt has made for understanding application of frugal approach with the study of manufacturing industry project. Manufacturing industry selected for this project study is Mahindra and Mahindra Ltd. This paper will help researcher to find the connections between the two concepts productivity improvement and frugal approach. This paper will help to understand significance of frugal approach for productivity improvement in manufacturing industry. This will also help to understand current scenario of frugal approach in manufacturing industry. In manufacturing industries various process are involved to deliver the final product. In the process of converting input in to output through manufacturing process productivity plays very critical role. Hence this study will help to evolve status of frugal approach in productivity improvement programme. The notion of frugal can be viewed as an approach towards productivity improvement in manufacturing industries.
A MULTIPLE – CHANNEL QUEUING MODELS ON FUZZY ENVIRONMENTIAEME Publication
In this paper, we investigated a queuing model of fuzzy environment-based a multiple channel queuing model (M/M/C) ( /FCFS) and study its performance under realistic conditions. It applies a nonagonal fuzzy number to analyse the relevant performance of a multiple channel queuing model (M/M/C) ( /FCFS). Based on the sub interval average ranking method for nonagonal fuzzy number, we convert fuzzy number to crisp one. Numerical results reveal that the efficiency of this method. Intuitively, the fuzzy environment adapts well to a multiple channel queuing models (M/M/C) ( /FCFS) are very well.
A SYSTEMATIC RISK ASSESSMENT APPROACH FOR SECURING THE SMART IRRIGATION SYSTEMSIJNSA Journal
The smart irrigation system represents an innovative approach to optimize water usage in agricultural and landscaping practices. The integration of cutting-edge technologies, including sensors, actuators, and data analysis, empowers this system to provide accurate monitoring and control of irrigation processes by leveraging real-time environmental conditions. The main objective of a smart irrigation system is to optimize water efficiency, minimize expenses, and foster the adoption of sustainable water management methods. This paper conducts a systematic risk assessment by exploring the key components/assets and their functionalities in the smart irrigation system. The crucial role of sensors in gathering data on soil moisture, weather patterns, and plant well-being is emphasized in this system. These sensors enable intelligent decision-making in irrigation scheduling and water distribution, leading to enhanced water efficiency and sustainable water management practices. Actuators enable automated control of irrigation devices, ensuring precise and targeted water delivery to plants. Additionally, the paper addresses the potential threat and vulnerabilities associated with smart irrigation systems. It discusses limitations of the system, such as power constraints and computational capabilities, and calculates the potential security risks. The paper suggests possible risk treatment methods for effective secure system operation. In conclusion, the paper emphasizes the significant benefits of implementing smart irrigation systems, including improved water conservation, increased crop yield, and reduced environmental impact. Additionally, based on the security analysis conducted, the paper recommends the implementation of countermeasures and security approaches to address vulnerabilities and ensure the integrity and reliability of the system. By incorporating these measures, smart irrigation technology can revolutionize water management practices in agriculture, promoting sustainability, resource efficiency, and safeguarding against potential security threats.
Embedded machine learning-based road conditions and driving behavior monitoringIJECEIAES
Car accident rates have increased in recent years, resulting in losses in human lives, properties, and other financial costs. An embedded machine learning-based system is developed to address this critical issue. The system can monitor road conditions, detect driving patterns, and identify aggressive driving behaviors. The system is based on neural networks trained on a comprehensive dataset of driving events, driving styles, and road conditions. The system effectively detects potential risks and helps mitigate the frequency and impact of accidents. The primary goal is to ensure the safety of drivers and vehicles. Collecting data involved gathering information on three key road events: normal street and normal drive, speed bumps, circular yellow speed bumps, and three aggressive driving actions: sudden start, sudden stop, and sudden entry. The gathered data is processed and analyzed using a machine learning system designed for limited power and memory devices. The developed system resulted in 91.9% accuracy, 93.6% precision, and 92% recall. The achieved inference time on an Arduino Nano 33 BLE Sense with a 32-bit CPU running at 64 MHz is 34 ms and requires 2.6 kB peak RAM and 139.9 kB program flash memory, making it suitable for resource-constrained embedded systems.
DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODELgerogepatton
As digital technology becomes more deeply embedded in power systems, protecting the communication
networks of Smart Grids (SG) has emerged as a critical concern. Distributed Network Protocol 3 (DNP3)
represents a multi-tiered application layer protocol extensively utilized in Supervisory Control and Data
Acquisition (SCADA)-based smart grids to facilitate real-time data gathering and control functionalities.
Robust Intrusion Detection Systems (IDS) are necessary for early threat detection and mitigation because
of the interconnection of these networks, which makes them vulnerable to a variety of cyberattacks. To
solve this issue, this paper develops a hybrid Deep Learning (DL) model specifically designed for intrusion
detection in smart grids. The proposed approach is a combination of the Convolutional Neural Network
(CNN) and the Long-Short-Term Memory algorithms (LSTM). We employed a recent intrusion detection
dataset (DNP3), which focuses on unauthorized commands and Denial of Service (DoS) cyberattacks, to
train and test our model. The results of our experiments show that our CNN-LSTM method is much better
at finding smart grid intrusions than other deep learning algorithms used for classification. In addition,
our proposed approach improves accuracy, precision, recall, and F1 score, achieving a high detection
accuracy rate of 99.50%.
Using recycled concrete aggregates (RCA) for pavements is crucial to achieving sustainability. Implementing RCA for new pavement can minimize carbon footprint, conserve natural resources, reduce harmful emissions, and lower life cycle costs. Compared to natural aggregate (NA), RCA pavement has fewer comprehensive studies and sustainability assessments.
Presentation of IEEE Slovenia CIS (Computational Intelligence Society) Chapte...University of Maribor
Slides from talk presenting:
Aleš Zamuda: Presentation of IEEE Slovenia CIS (Computational Intelligence Society) Chapter and Networking.
Presentation at IcETRAN 2024 session:
"Inter-Society Networking Panel GRSS/MTT-S/CIS
Panel Session: Promoting Connection and Cooperation"
IEEE Slovenia GRSS
IEEE Serbia and Montenegro MTT-S
IEEE Slovenia CIS
11TH INTERNATIONAL CONFERENCE ON ELECTRICAL, ELECTRONIC AND COMPUTING ENGINEERING
3-6 June 2024, Niš, Serbia
Harnessing WebAssembly for Real-time Stateless Streaming PipelinesChristina Lin
Traditionally, dealing with real-time data pipelines has involved significant overhead, even for straightforward tasks like data transformation or masking. However, in this talk, we’ll venture into the dynamic realm of WebAssembly (WASM) and discover how it can revolutionize the creation of stateless streaming pipelines within a Kafka (Redpanda) broker. These pipelines are adept at managing low-latency, high-data-volume scenarios.
Batteries -Introduction – Types of Batteries – discharging and charging of battery - characteristics of battery –battery rating- various tests on battery- – Primary battery: silver button cell- Secondary battery :Ni-Cd battery-modern battery: lithium ion battery-maintenance of batteries-choices of batteries for electric vehicle applications.
Fuel Cells: Introduction- importance and classification of fuel cells - description, principle, components, applications of fuel cells: H2-O2 fuel cell, alkaline fuel cell, molten carbonate fuel cell and direct methanol fuel cells.