This document contains an assignment for a Strength of Materials course. It includes 4 questions related to analyzing stresses and torques in circular shafts and bars. Question 1 involves determining the peak shearing stress and tensile stress in a steel shaft loaded by a twisting moment at its midpoint. Question 2 involves determining the reactive torques at the fixed ends of a circular shaft loaded by couples. Question 3 involves determining the maximum shearing stress and relative angle of twist in a solid circular shaft delivering power to machines at its ends. Question 4 involves determining the inside and outside diameters of a hollow steel shaft transmitting a given torque such that the angle of twist and shearing stress do not exceed allowable limits.
This document contains instructions for an assignment on Strength of Materials (SOM). It includes 5 questions related to Course Outcome 1 (CO-1) on topics like axial elongation of tapered bars, error in using mean diameter to calculate Young's modulus, stresses under biaxial loading, principal stresses and planes, and material properties like Young's modulus, Poisson's ratio, modulus of rigidity and bulk modulus based on experimental data for extension and lateral contraction of a loaded bar. The assignment is due on April 10, 2020 and carries a maximum of 50 marks.
This document contains instructions for an assignment on strength of materials (SOM) given by the instructor Suryakant Kumar. It has 4 questions related to course outcome 2 assessing beams with different loading and support conditions to draw shear force and bending moment diagrams, and determine reactions and shear stress distribution. Students are asked to attempt all questions on plain A4 paper with diagrams drawn using pencils by the due date of April 14, 2020, for a maximum of 50 marks.
This document contains instructions for an assignment on strength of materials (SOM). It lists 5 questions about calculating deflections (EIδ) in beams under different loading conditions. The questions cover calculating deflections at specific points for an overhanging beam, simply supported beam, and cantilever beam with distributed loads. Students are instructed to show their work and use diagrams to solve the problems.
This document contains an assignment for a Strength of Materials course. It includes 4 questions related to analyzing stresses and torques in circular shafts and bars. Question 1 involves determining the peak shearing stress and tensile stress in a steel shaft loaded by a twisting moment at its midpoint. Question 2 involves determining the reactive torques at the fixed ends of a circular shaft loaded by couples. Question 3 involves determining the maximum shearing stress and relative angle of twist in a solid circular shaft delivering power to machines at its ends. Question 4 involves determining the inside and outside diameters of a hollow steel shaft transmitting a given torque such that the angle of twist and shearing stress do not exceed allowable limits.
This document contains instructions for an assignment on Strength of Materials (SOM). It includes 5 questions related to Course Outcome 1 (CO-1) on topics like axial elongation of tapered bars, error in using mean diameter to calculate Young's modulus, stresses under biaxial loading, principal stresses and planes, and material properties like Young's modulus, Poisson's ratio, modulus of rigidity and bulk modulus based on experimental data for extension and lateral contraction of a loaded bar. The assignment is due on April 10, 2020 and carries a maximum of 50 marks.
This document contains instructions for an assignment on strength of materials (SOM) given by the instructor Suryakant Kumar. It has 4 questions related to course outcome 2 assessing beams with different loading and support conditions to draw shear force and bending moment diagrams, and determine reactions and shear stress distribution. Students are asked to attempt all questions on plain A4 paper with diagrams drawn using pencils by the due date of April 14, 2020, for a maximum of 50 marks.
This document contains instructions for an assignment on strength of materials (SOM). It lists 5 questions about calculating deflections (EIδ) in beams under different loading conditions. The questions cover calculating deflections at specific points for an overhanging beam, simply supported beam, and cantilever beam with distributed loads. Students are instructed to show their work and use diagrams to solve the problems.
The document appears to be a scanned receipt from a grocery store listing various food items purchased including milk, eggs, bread, bananas, and ground beef. The total for the grocery receipt comes to $36.47. The receipt shows a payment was made with a credit card ending in 4321.
The document appears to be a scanned receipt from a grocery store listing various food and household items purchased totaling $123.45. It includes the store name, date, time of purchase, payment method (credit card), and a thank you message at the bottom.
The document appears to be a scanned receipt from a grocery store listing various food and household items purchased totaling $123.45. It includes the store name, date, time of purchase, payment method (credit card), and a thank you message at the bottom.
This document appears to be a scanned receipt from a grocery store listing various food and household items purchased totaling $123.45. The receipt details 13 different items bought including milk, eggs, bread, toilet paper and cleaning supplies. It provides the item names, quantities, and individual prices for each item along with the subtotal, tax amount, and total cost of the grocery order.
This document appears to be a scanned receipt from a grocery store listing various food items purchased including eggs, milk, bread, bananas, and ground beef. The total for the grocery receipt comes to $36.87 with the payment made by credit card. The receipt provides details of the date, time, payment method, and total for the grocery purchase.
This document appears to be a scanned receipt from a grocery store listing various food and household items purchased totaling $123.45. The receipt details 13 different items bought including milk, eggs, bread, toilet paper and paper towels. It provides the item names, quantities, and individual prices for each item along with the subtotal, tax amount, and total cost of the grocery order.
This document appears to be a scanned receipt from a grocery store listing various food items purchased including milk, eggs, bread, fruit, and vegetables. The receipt details the item names, quantities, and individual prices of each item before providing a subtotal, tax amount, and total cost of the grocery order.
This document appears to be a scanned receipt from a grocery store listing various food items purchased including milk, eggs, bread, bananas, and ground beef. The total for the grocery receipt comes to $36.87 with the payment made by credit card. The receipt provides details of the date, time, payment method, and total for the grocery purchase.
This document appears to be a scanned receipt from a grocery store listing various food and household items purchased totaling $123.45. The receipt details 6 items bought including milk, eggs, bread, laundry detergent, paper towels, and dish soap. It provides the item names, quantities, and individual prices for each purchase along with the total cost for the grocery trip.
The document appears to be a scanned receipt from a restaurant in New York City listing various food and drink items purchased, with a total amount due of $167.82. It includes the restaurant's name, date, time, table number, and lists items such as cocktails, appetizers, entrees, desserts, and a 20% service charge. The receipt provides details of a dining transaction at the specified restaurant on the given date.
The document discusses bending stresses in beams. It begins by outlining simplifying assumptions made in deriving the flexure formula to relate bending stresses to bending moments. These assumptions include plane sections remaining plane and perpendicular to the deformed beam axis. The neutral axis is defined as the axis where longitudinal fibers experience no deformation.
The derivation of the flexure formula is shown. Flexural stresses are proportional to the distance from the neutral axis and bending moment. Procedures for determining stresses at given points, as well as maximum stresses, are provided. Sample problems demonstrate applying the flexure formula and finding maximum stresses for different beam cross sections.
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.
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.
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.
Introduction- e - waste – definition - sources of e-waste– hazardous substances in e-waste - effects of e-waste on environment and human health- need for e-waste management– e-waste handling rules - waste minimization techniques for managing e-waste – recycling of e-waste - disposal treatment methods of e- waste – mechanism of extraction of precious metal from leaching solution-global Scenario of E-waste – E-waste in India- case studies.
6th International Conference on Machine Learning & Applications (CMLA 2024)ClaraZara1
6th International Conference on Machine Learning & Applications (CMLA 2024) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of on Machine Learning & Applications.
The document appears to be a scanned receipt from a grocery store listing various food items purchased including milk, eggs, bread, bananas, and ground beef. The total for the grocery receipt comes to $36.47. The receipt shows a payment was made with a credit card ending in 4321.
The document appears to be a scanned receipt from a grocery store listing various food and household items purchased totaling $123.45. It includes the store name, date, time of purchase, payment method (credit card), and a thank you message at the bottom.
The document appears to be a scanned receipt from a grocery store listing various food and household items purchased totaling $123.45. It includes the store name, date, time of purchase, payment method (credit card), and a thank you message at the bottom.
This document appears to be a scanned receipt from a grocery store listing various food and household items purchased totaling $123.45. The receipt details 13 different items bought including milk, eggs, bread, toilet paper and cleaning supplies. It provides the item names, quantities, and individual prices for each item along with the subtotal, tax amount, and total cost of the grocery order.
This document appears to be a scanned receipt from a grocery store listing various food items purchased including eggs, milk, bread, bananas, and ground beef. The total for the grocery receipt comes to $36.87 with the payment made by credit card. The receipt provides details of the date, time, payment method, and total for the grocery purchase.
This document appears to be a scanned receipt from a grocery store listing various food and household items purchased totaling $123.45. The receipt details 13 different items bought including milk, eggs, bread, toilet paper and paper towels. It provides the item names, quantities, and individual prices for each item along with the subtotal, tax amount, and total cost of the grocery order.
This document appears to be a scanned receipt from a grocery store listing various food items purchased including milk, eggs, bread, fruit, and vegetables. The receipt details the item names, quantities, and individual prices of each item before providing a subtotal, tax amount, and total cost of the grocery order.
This document appears to be a scanned receipt from a grocery store listing various food items purchased including milk, eggs, bread, bananas, and ground beef. The total for the grocery receipt comes to $36.87 with the payment made by credit card. The receipt provides details of the date, time, payment method, and total for the grocery purchase.
This document appears to be a scanned receipt from a grocery store listing various food and household items purchased totaling $123.45. The receipt details 6 items bought including milk, eggs, bread, laundry detergent, paper towels, and dish soap. It provides the item names, quantities, and individual prices for each purchase along with the total cost for the grocery trip.
The document appears to be a scanned receipt from a restaurant in New York City listing various food and drink items purchased, with a total amount due of $167.82. It includes the restaurant's name, date, time, table number, and lists items such as cocktails, appetizers, entrees, desserts, and a 20% service charge. The receipt provides details of a dining transaction at the specified restaurant on the given date.
The document discusses bending stresses in beams. It begins by outlining simplifying assumptions made in deriving the flexure formula to relate bending stresses to bending moments. These assumptions include plane sections remaining plane and perpendicular to the deformed beam axis. The neutral axis is defined as the axis where longitudinal fibers experience no deformation.
The derivation of the flexure formula is shown. Flexural stresses are proportional to the distance from the neutral axis and bending moment. Procedures for determining stresses at given points, as well as maximum stresses, are provided. Sample problems demonstrate applying the flexure formula and finding maximum stresses for different beam cross sections.
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.
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.
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.
Introduction- e - waste – definition - sources of e-waste– hazardous substances in e-waste - effects of e-waste on environment and human health- need for e-waste management– e-waste handling rules - waste minimization techniques for managing e-waste – recycling of e-waste - disposal treatment methods of e- waste – mechanism of extraction of precious metal from leaching solution-global Scenario of E-waste – E-waste in India- case studies.
6th International Conference on Machine Learning & Applications (CMLA 2024)ClaraZara1
6th International Conference on Machine Learning & Applications (CMLA 2024) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of on Machine Learning & Applications.
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%.
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.
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
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
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.
International Conference on NLP, Artificial Intelligence, Machine Learning an...gerogepatton
International Conference on NLP, Artificial Intelligence, Machine Learning and Applications (NLAIM 2024) offers a premier global platform for exchanging insights and findings in the theory, methodology, and applications of NLP, Artificial Intelligence, Machine Learning, and their applications. The conference seeks substantial contributions across all key domains of NLP, Artificial Intelligence, Machine Learning, and their practical applications, aiming to foster both theoretical advancements and real-world implementations. With a focus on facilitating collaboration between researchers and practitioners from academia and industry, the conference serves as a nexus for sharing the latest developments in the field.