It's a presentation on "Geothermal Energy". It contains technical information about geothermal energy and also basic information about the geothermal power plant; such as it's working cycles, reservoirs, etc.
The document discusses a 12 step process for conducting a meeting that includes 1) preparing an agenda, 2) distributing the agenda and materials in advance, 3) starting the meeting on time and reviewing the agenda, 4) facilitating discussions, 5) documenting discussions and action items, and 6) following up after the meeting. The goal is to conduct efficient and productive meetings by being organized and keeping discussions on track.
Geometric dimensioning and tolerancing (GD&T) is a standardized language used by engineers to precisely describe product specifications and facilitate communication between entities involved in production. It uses symbols and feature control frames to define part tolerances and dimensions relative to datum features. GD&T improves production repeatability and ensures qualified parts will properly assemble, as all parties involved speak the same technical language when interpreting engineering drawings.
Energy Production from Slow Moving WaterUtsav Patel
It is a presentation on Energy generation by slow-moving water. It is a renewable energy source which is nowadays used for energy generation. Energy generated by device name Waterotor.
The Himalayas Mountain Range - Breathtaking BeautyUtsav Patel
This presentation is on the Himalayas mountain range. It includes its beauty, its wonder, its wildlife, its people, its greatness, everything within it is beautiful. I love the Himalayas. This was my first ever non-technical presentation.
Gearless Power Transmission - Minor ProjectUtsav Patel
This document presents information on gearless power transmission. It discusses the limitations of geared power transmission and how gearless transmission can transmit power at different angles without manufactured gears. The document describes the concept and working of an elbow mechanism, which uses three bent links to transmit torque between shafts at 90 degrees. It can also transmit power between shafts at angles from 90 to 180 degrees. Advantages include simple design, flexibility, and cost efficiency. Applications discussed include use in elbow engines, socket wrenches, drilling machines, and some home appliances.
Static and Fatigue Analysis of Pressure Vessel as per ASME CodesUtsav Patel
The problem statement is to design a pressure vessel working as an adsorber in a chemical plant. Design data calculated as per ASME BPVC Section VIII/Division I and it analyzed as per ASME BPVC Section VIII/Division II. You can trust this data.
If you need any help regarding this, contact me via LinkedIn.
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive function. Exercise causes chemical changes in the brain that may help alleviate symptoms of mental illness and support overall brain health.
The document discusses a 12 step process for conducting a meeting that includes 1) preparing an agenda, 2) distributing the agenda and materials in advance, 3) starting the meeting on time and reviewing the agenda, 4) facilitating discussions, 5) documenting discussions and action items, and 6) following up after the meeting. The goal is to conduct efficient and productive meetings by being organized and keeping discussions on track.
Geometric dimensioning and tolerancing (GD&T) is a standardized language used by engineers to precisely describe product specifications and facilitate communication between entities involved in production. It uses symbols and feature control frames to define part tolerances and dimensions relative to datum features. GD&T improves production repeatability and ensures qualified parts will properly assemble, as all parties involved speak the same technical language when interpreting engineering drawings.
Energy Production from Slow Moving WaterUtsav Patel
It is a presentation on Energy generation by slow-moving water. It is a renewable energy source which is nowadays used for energy generation. Energy generated by device name Waterotor.
The Himalayas Mountain Range - Breathtaking BeautyUtsav Patel
This presentation is on the Himalayas mountain range. It includes its beauty, its wonder, its wildlife, its people, its greatness, everything within it is beautiful. I love the Himalayas. This was my first ever non-technical presentation.
Gearless Power Transmission - Minor ProjectUtsav Patel
This document presents information on gearless power transmission. It discusses the limitations of geared power transmission and how gearless transmission can transmit power at different angles without manufactured gears. The document describes the concept and working of an elbow mechanism, which uses three bent links to transmit torque between shafts at 90 degrees. It can also transmit power between shafts at angles from 90 to 180 degrees. Advantages include simple design, flexibility, and cost efficiency. Applications discussed include use in elbow engines, socket wrenches, drilling machines, and some home appliances.
Static and Fatigue Analysis of Pressure Vessel as per ASME CodesUtsav Patel
The problem statement is to design a pressure vessel working as an adsorber in a chemical plant. Design data calculated as per ASME BPVC Section VIII/Division I and it analyzed as per ASME BPVC Section VIII/Division II. You can trust this data.
If you need any help regarding this, contact me via LinkedIn.
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive function. Exercise causes chemical changes in the brain that may help alleviate symptoms of mental illness and support overall brain health.
The problem statement is to design gearbox with 2-step, 8-speeds for lathe machine. Calculated data based on two books and some other references. The calculation procedure is trustable so you can design as I wrote it.
You can see the model on the link below:
https://youtu.be/iRyYIfvz0x4
Heat and Mass Transfer Practical Manual (C Coded)Utsav Patel
It includes practicals or experiments which are covered in heat and mass transfer curriculum. Heat and mass transfer is a part of thermodynamics. Each and every calculation in this manual is accomplished with a computer programming in c language.
It includes design data of multi-plate clutch for a given problem statement. Calculation based on some books and some references. The calculation does not base on standards, so follow some other references as well.
This report includes basic information on geothermal energy, its resources, its merits and demerits and also, its adaption for power generation. It contains information about its working cycles used in power plants. Also, It contains information about geothermal powerplants in India.
Gearless Power Transmission - Project ReportUtsav Patel
This report contains basic information about gearless power transmission. Gearless power transmission works on "Elbow Mechanism". Model of this mechanism shown in this report.
Numerical Methods with Computer ProgrammingUtsav Patel
This document contains summaries of 9 numerical methods programs written in C++ including: Bisection Method, Regula-Falsi Method, Secant Method, Newton-Raphson Method, Gauss-Jordan Method, Gauss Elimination Method, Method of Least Squares, Euler's Method, and Runge-Kutta Method. For each method, the document provides the program code, sample output, and a brief 1-2 sentence description.
Ammann Apollo India Pvt Ltd - Industrial Training ReportUtsav Patel
This report is on Industrial training at Ammann Apollo India Pvt Ltd. This report includes basic company profile and products that the company manufactures. This was my first report so it is not that good.
Advanced control scheme of doubly fed induction generator for wind turbine us...IJECEIAES
This paper describes a speed control device for generating electrical energy on an electricity network based on the doubly fed induction generator (DFIG) used for wind power conversion systems. At first, a double-fed induction generator model was constructed. A control law is formulated to govern the flow of energy between the stator of a DFIG and the energy network using three types of controllers: proportional integral (PI), sliding mode controller (SMC) and second order sliding mode controller (SOSMC). Their different results in terms of power reference tracking, reaction to unexpected speed fluctuations, sensitivity to perturbations, and resilience against machine parameter alterations are compared. MATLAB/Simulink was used to conduct the simulations for the preceding study. Multiple simulations have shown very satisfying results, and the investigations demonstrate the efficacy and power-enhancing capabilities of the suggested control system.
ACEP Magazine edition 4th launched on 05.06.2024Rahul
This document provides information about the third edition of the magazine "Sthapatya" published by the Association of Civil Engineers (Practicing) Aurangabad. It includes messages from current and past presidents of ACEP, memories and photos from past ACEP events, information on life time achievement awards given by ACEP, and a technical article on concrete maintenance, repairs and strengthening. The document highlights activities of ACEP and provides a technical educational article for members.
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
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.
Low power architecture of logic gates using adiabatic techniquesnooriasukmaningtyas
The growing significance of portable systems to limit power consumption in ultra-large-scale-integration chips of very high density, has recently led to rapid and inventive progresses in low-power design. The most effective technique is adiabatic logic circuit design in energy-efficient hardware. This paper presents two adiabatic approaches for the design of low power circuits, modified positive feedback adiabatic logic (modified PFAL) and the other is direct current diode based positive feedback adiabatic logic (DC-DB PFAL). Logic gates are the preliminary components in any digital circuit design. By improving the performance of basic gates, one can improvise the whole system performance. In this paper proposed circuit design of the low power architecture of OR/NOR, AND/NAND, and XOR/XNOR gates are presented using the said approaches and their results are analyzed for powerdissipation, delay, power-delay-product and rise time and compared with the other adiabatic techniques along with the conventional complementary metal oxide semiconductor (CMOS) designs reported in the literature. It has been found that the designs with DC-DB PFAL technique outperform with the percentage improvement of 65% for NOR gate and 7% for NAND gate and 34% for XNOR gate over the modified PFAL techniques at 10 MHz respectively.
CHINA’S GEO-ECONOMIC OUTREACH IN CENTRAL ASIAN COUNTRIES AND FUTURE PROSPECTjpsjournal1
The rivalry between prominent international actors for dominance over Central Asia's hydrocarbon
reserves and the ancient silk trade route, along with China's diplomatic endeavours in the area, has been
referred to as the "New Great Game." This research centres on the power struggle, considering
geopolitical, geostrategic, and geoeconomic variables. Topics including trade, political hegemony, oil
politics, and conventional and nontraditional security are all explored and explained by the researcher.
Using Mackinder's Heartland, Spykman Rimland, and Hegemonic Stability theories, examines China's role
in Central Asia. This study adheres to the empirical epistemological method and has taken care of
objectivity. This study analyze primary and secondary research documents critically to elaborate role of
china’s geo economic outreach in central Asian countries and its future prospect. China is thriving in trade,
pipeline politics, and winning states, according to this study, thanks to important instruments like the
Shanghai Cooperation Organisation and the Belt and Road Economic Initiative. According to this study,
China is seeing significant success in commerce, pipeline politics, and gaining influence on other
governments. This success may be attributed to the effective utilisation of key tools such as the Shanghai
Cooperation Organisation and the Belt and Road Economic Initiative.
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%.
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.
A review on techniques and modelling methodologies used for checking electrom...nooriasukmaningtyas
The proper function of the integrated circuit (IC) in an inhibiting electromagnetic environment has always been a serious concern throughout the decades of revolution in the world of electronics, from disjunct devices to today’s integrated circuit technology, where billions of transistors are combined on a single chip. The automotive industry and smart vehicles in particular, are confronting design issues such as being prone to electromagnetic interference (EMI). Electronic control devices calculate incorrect outputs because of EMI and sensors give misleading values which can prove fatal in case of automotives. In this paper, the authors have non exhaustively tried to review research work concerned with the investigation of EMI in ICs and prediction of this EMI using various modelling methodologies and measurement setups.
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.
Literature Review Basics and Understanding Reference Management.pptxDr Ramhari Poudyal
Three-day training on academic research focuses on analytical tools at United Technical College, supported by the University Grant Commission, Nepal. 24-26 May 2024
The problem statement is to design gearbox with 2-step, 8-speeds for lathe machine. Calculated data based on two books and some other references. The calculation procedure is trustable so you can design as I wrote it.
You can see the model on the link below:
https://youtu.be/iRyYIfvz0x4
Heat and Mass Transfer Practical Manual (C Coded)Utsav Patel
It includes practicals or experiments which are covered in heat and mass transfer curriculum. Heat and mass transfer is a part of thermodynamics. Each and every calculation in this manual is accomplished with a computer programming in c language.
It includes design data of multi-plate clutch for a given problem statement. Calculation based on some books and some references. The calculation does not base on standards, so follow some other references as well.
This report includes basic information on geothermal energy, its resources, its merits and demerits and also, its adaption for power generation. It contains information about its working cycles used in power plants. Also, It contains information about geothermal powerplants in India.
Gearless Power Transmission - Project ReportUtsav Patel
This report contains basic information about gearless power transmission. Gearless power transmission works on "Elbow Mechanism". Model of this mechanism shown in this report.
Numerical Methods with Computer ProgrammingUtsav Patel
This document contains summaries of 9 numerical methods programs written in C++ including: Bisection Method, Regula-Falsi Method, Secant Method, Newton-Raphson Method, Gauss-Jordan Method, Gauss Elimination Method, Method of Least Squares, Euler's Method, and Runge-Kutta Method. For each method, the document provides the program code, sample output, and a brief 1-2 sentence description.
Ammann Apollo India Pvt Ltd - Industrial Training ReportUtsav Patel
This report is on Industrial training at Ammann Apollo India Pvt Ltd. This report includes basic company profile and products that the company manufactures. This was my first report so it is not that good.
Advanced control scheme of doubly fed induction generator for wind turbine us...IJECEIAES
This paper describes a speed control device for generating electrical energy on an electricity network based on the doubly fed induction generator (DFIG) used for wind power conversion systems. At first, a double-fed induction generator model was constructed. A control law is formulated to govern the flow of energy between the stator of a DFIG and the energy network using three types of controllers: proportional integral (PI), sliding mode controller (SMC) and second order sliding mode controller (SOSMC). Their different results in terms of power reference tracking, reaction to unexpected speed fluctuations, sensitivity to perturbations, and resilience against machine parameter alterations are compared. MATLAB/Simulink was used to conduct the simulations for the preceding study. Multiple simulations have shown very satisfying results, and the investigations demonstrate the efficacy and power-enhancing capabilities of the suggested control system.
ACEP Magazine edition 4th launched on 05.06.2024Rahul
This document provides information about the third edition of the magazine "Sthapatya" published by the Association of Civil Engineers (Practicing) Aurangabad. It includes messages from current and past presidents of ACEP, memories and photos from past ACEP events, information on life time achievement awards given by ACEP, and a technical article on concrete maintenance, repairs and strengthening. The document highlights activities of ACEP and provides a technical educational article for members.
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
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.
Low power architecture of logic gates using adiabatic techniquesnooriasukmaningtyas
The growing significance of portable systems to limit power consumption in ultra-large-scale-integration chips of very high density, has recently led to rapid and inventive progresses in low-power design. The most effective technique is adiabatic logic circuit design in energy-efficient hardware. This paper presents two adiabatic approaches for the design of low power circuits, modified positive feedback adiabatic logic (modified PFAL) and the other is direct current diode based positive feedback adiabatic logic (DC-DB PFAL). Logic gates are the preliminary components in any digital circuit design. By improving the performance of basic gates, one can improvise the whole system performance. In this paper proposed circuit design of the low power architecture of OR/NOR, AND/NAND, and XOR/XNOR gates are presented using the said approaches and their results are analyzed for powerdissipation, delay, power-delay-product and rise time and compared with the other adiabatic techniques along with the conventional complementary metal oxide semiconductor (CMOS) designs reported in the literature. It has been found that the designs with DC-DB PFAL technique outperform with the percentage improvement of 65% for NOR gate and 7% for NAND gate and 34% for XNOR gate over the modified PFAL techniques at 10 MHz respectively.
CHINA’S GEO-ECONOMIC OUTREACH IN CENTRAL ASIAN COUNTRIES AND FUTURE PROSPECTjpsjournal1
The rivalry between prominent international actors for dominance over Central Asia's hydrocarbon
reserves and the ancient silk trade route, along with China's diplomatic endeavours in the area, has been
referred to as the "New Great Game." This research centres on the power struggle, considering
geopolitical, geostrategic, and geoeconomic variables. Topics including trade, political hegemony, oil
politics, and conventional and nontraditional security are all explored and explained by the researcher.
Using Mackinder's Heartland, Spykman Rimland, and Hegemonic Stability theories, examines China's role
in Central Asia. This study adheres to the empirical epistemological method and has taken care of
objectivity. This study analyze primary and secondary research documents critically to elaborate role of
china’s geo economic outreach in central Asian countries and its future prospect. China is thriving in trade,
pipeline politics, and winning states, according to this study, thanks to important instruments like the
Shanghai Cooperation Organisation and the Belt and Road Economic Initiative. According to this study,
China is seeing significant success in commerce, pipeline politics, and gaining influence on other
governments. This success may be attributed to the effective utilisation of key tools such as the Shanghai
Cooperation Organisation and the Belt and Road Economic Initiative.
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%.
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.
A review on techniques and modelling methodologies used for checking electrom...nooriasukmaningtyas
The proper function of the integrated circuit (IC) in an inhibiting electromagnetic environment has always been a serious concern throughout the decades of revolution in the world of electronics, from disjunct devices to today’s integrated circuit technology, where billions of transistors are combined on a single chip. The automotive industry and smart vehicles in particular, are confronting design issues such as being prone to electromagnetic interference (EMI). Electronic control devices calculate incorrect outputs because of EMI and sensors give misleading values which can prove fatal in case of automotives. In this paper, the authors have non exhaustively tried to review research work concerned with the investigation of EMI in ICs and prediction of this EMI using various modelling methodologies and measurement setups.
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.
Literature Review Basics and Understanding Reference Management.pptxDr Ramhari Poudyal
Three-day training on academic research focuses on analytical tools at United Technical College, supported by the University Grant Commission, Nepal. 24-26 May 2024
KuberTENes Birthday Bash Guadalajara - K8sGPT first impressionsVictor Morales
K8sGPT is a tool that analyzes and diagnoses Kubernetes clusters. This presentation was used to share the requirements and dependencies to deploy K8sGPT in a local environment.
Understanding Inductive Bias in Machine LearningSUTEJAS
This presentation explores the concept of inductive bias in machine learning. It explains how algorithms come with built-in assumptions and preferences that guide the learning process. You'll learn about the different types of inductive bias and how they can impact the performance and generalizability of machine learning models.
The presentation also covers the positive and negative aspects of inductive bias, along with strategies for mitigating potential drawbacks. We'll explore examples of how bias manifests in algorithms like neural networks and decision trees.
By understanding inductive bias, you can gain valuable insights into how machine learning models work and make informed decisions when building and deploying them.
1. A Presentation on
Geothermal Energy
___________________________________________________________________________________________________________________________________________________________________________
Presented by: - Guided by: -
Utsav Patel (ID…….) ……..……………...
From: - .................................
………………………... …………………….
2. What is Geothermal Energy?
Geothermal energy is the thermal
energy produced and stored in the
center of the Earth.
Higher temperature at the earth’s inner
core due to radioactive decay of
materials.
Utilize temperature of the earth’s core.
(Temperature difference)
4. Ring of Fire
The Ring of Fire is a major area in the
basin of the Pacific Ocean where many
earthquakes and volcanic eruptions
occur.
Over 20 countries
San Andreas Fault
United states
(Greatest geothermal energy Production)
7. Applications
Heat production (via heat pump or direct heat exchange)
Power production (via steam turbine)
Stimulated Geothermal Systems technology (SGS) (Energy extracted by the
formation of rocks) [Future]
8. Geothermal Powerplant
Utilizing geothermal energy to
generate electricity.
Manifested in 1904 in Italy.
First successful large scale geothermal
powerplant - Geysers, California(1960)
USA produced 3450 MW in 2015.
9. Power Generation
Three cycles which power plant uses
to produce power.
1. Dry steam cycle
2. Flash steam cycle
3. Binary cycle
10. Geothermal Energy in India
Exploration started at 1970
GSI (Geological survey of India)
Total 350 locations identified.
Ladakh, Himalayas, Cambay, etc.
Estimated potential = 10000 MW
12. Disadvantages
Heat must be taken care properly
Cost of powering the pump
Specific locations
Surface stability
(Geothermal powerplant in Switzerland
triggered 3.4 Richter earthquake)