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Explore the innovative world of trenchless pipe repair with our comprehensive guide, "The Benefits and Techniques of Trenchless Pipe Repair." This document delves into the modern methods of repairing underground pipes without the need for extensive excavation, highlighting the numerous advantages and the latest techniques used in the industry. Learn about the cost savings, reduced environmental impact, and minimal disruption associated with trenchless technology. Discover detailed explanations of popular techniques such as pipe bursting, cured-in-place pipe (CIPP) lining, and directional drilling. Understand how these methods can be applied to various types of infrastructure, from residential plumbing to large-scale municipal systems. Ideal for homeowners, contractors, engineers, and anyone interested in modern plumbing solutions, this guide provides valuable insights into why trenchless pipe repair is becoming the preferred choice for pipe rehabilitation. Stay informed about the latest advancements and best practices in the field.
The Benefits and Techniques of Trenchless Pipe Repair.pdf
The Benefits and Techniques of Trenchless Pipe Repair.pdf
Pipe Restoration Solutions
PHP and MySQL project on Hall Booking System is a web based project and it has been developed in PHP and MySQL and we can manage Payment, Booking, Inventory, Booking Dates, Customers and Hall from this project. The main objective to develop Hall Booking System PHP, MySQL, JAVA SCRIPT and BOOTSRAP Project is to overcome the manual errors and make a computerized system. In this project, there are various type of modules available to manage Customers, Booking, Payment. We can also generate reports for Booking, Payment, Booking Dates, Hall. Here the Payment module manage all the operations of Payment, Booking module can manage Booking, Inventory module is normally developed for managing Inventory, Booking Dates module manages Booking Dates operations, Customers module has been implemented to manage Customers. In this project all the modules like Payment, Booking Dates, Booking are tightly coupled and we can track the information easily. Ifyou are looking for Free Hall Booking System Project in PHP and MySQL then you can visit our free projects section. We can easily get the list of wedding halls & lawns in Nagpur. Also we have detailed contact information for some particular hall. But we cannot get the availability about hall. So background behind this web portal is that it gives the area wise listing of wedding halls & lawns with the detailed information of individual and also display for particular date the hall is available or not. Just dial is the system in which we can only find the name of Hall and Lawns in city. In just dial we cannot find Halls in specific area. This system cannot show all information about any Hall. This system is not able to book the Halls online. The A Web Based Hall Booking Management System is designed to overcome the disadvantage of previous system.We can easily get the list of Wedding Halls. But we cannot get the availability about Hall. So background behind this web portal is that it gives the area wise listing of Wedding Halls with the detailed information of individual and also display for particular date the Hall is available or not. This is a special type of web portal to easily get the information of all Wedding Halls in Nagpur which display separate calendar for separate Hall. For particular date the Hall. We can availability of Hall as well as Lawns detailed information about individuals Hall in our web portal . It provides all facilities to clients with lowest cost and lowest maintenance problems.
Hall booking system project report .pdf
Hall booking system project report .pdf
Kamal Acharya
read it
Digital Signal Processing Lecture notes n.pdf
Digital Signal Processing Lecture notes n.pdf
AbrahamGadissa
The project developers created a system entitled Resort Management and Reservation System; it will provide better management and monitoring of the services in every resort business, especially D’ Rock Resort. To accommodate those out-of-town guests who want to remain and utilize the resort's services, the proponents planned to automate the business procedures of the resort and implement the system. As a result, it aims to improve business profitability, lower expenses, and speed up the resort's transaction processing. The resort will now be able to serve those potential guests, especially during the high season. Using websites for faster transactions to reserve on your desired time and date is another step toward technological advancement. Customers don’t need to walk in and hold in line for several hours. There is no problem in converting a paper-based transaction online; it's just the system that will be used that will help the resort expand. Moreover, Gerard (2012) stated that “The flexible online information structure was developed as a tool for the reservation theory's two primary applications. Computer use is more efficient, accurate, and faster than a manual or present lifestyle of operation. Using a computer has a vital role in our daily life and the advantages of the devices we use.
RESORT MANAGEMENT AND RESERVATION SYSTEM PROJECT REPORT.pdf
RESORT MANAGEMENT AND RESERVATION SYSTEM PROJECT REPORT.pdf
Kamal Acharya
About Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol. • Remote control: Parallel or serial interface. • Compatible with MAFI CCR system. • Compatible with IDM8000 CCR. • Compatible with Backplane mount serial communication. • Compatible with commercial and Defence aviation CCR system. • Remote control system for accessing CCR and allied system over serial or TCP. • Indigenized local Support/presence in India. • Easy in configuration using DIP switches. Technical Specifications Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol. Key Features Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol. • Remote control: Parallel or serial interface • Compatible with MAFI CCR system • Copatiable with IDM8000 CCR • Compatible with Backplane mount serial communication. • Compatible with commercial and Defence aviation CCR system. • Remote control system for accessing CCR and allied system over serial or TCP. • Indigenized local Support/presence in India. Application • Remote control: Parallel or serial interface. • Compatible with MAFI CCR system. • Compatible with IDM8000 CCR. • Compatible with Backplane mount serial communication. • Compatible with commercial and Defence aviation CCR system. • Remote control system for accessing CCR and allied system over serial or TCP. • Indigenized local Support/presence in India. • Easy in configuration using DIP switches.
Standard Reomte Control Interface - Neometrix
Standard Reomte Control Interface - Neometrix
Neometrix_Engineering_Pvt_Ltd
It is now-a-days very important for the people to send or receive articles like imported furniture, electronic items, gifts, business goods and the like. People depend vastly on different transport systems which mostly use the manual way of receiving and delivering the articles. There is no way to track the articles till they are received and there is no way to let the customer know what happened in transit, once he booked some articles. In such a situation, we need a system which completely computerizes the cargo activities including time to time tracking of the articles sent. This need is fulfilled by Courier Management System software which is online software for the cargo management people that enables them to receive the goods from a source and send them to a required destination and track their status from time to time.
Courier management system project report.pdf
Courier management system project report.pdf
Kamal Acharya
This presentation is about nitration process of industries, unit processes of chemical engineering.
Halogenation process of chemical process industries
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Introduction to Machine Learning Notes
Introduction to Machine Learning Unit-4 Notes for II-II Mechanical Engineering
Introduction to Machine Learning Unit-4 Notes for II-II Mechanical Engineering
C Sai Kiran
Q.1 A single plate clutch with both sides of the plate effective is required to transmit 25 kW at 1600 r.p.m. The outer diameter of the plate is limited to 300 mm and the intensity of pressure between the plates not to exceed 0.07N / m * m ^ 2 Assuming uniform wear and coefficient of friction 0.3, find the inner diameter of the plates and the axial force necessary to engage the clutch. Q.2 A multiple disc clutch has radial width of the friction material as 1/5th of the maximum radius. The coefficient of friction is 0.25. Find the total number of discs required to transmit 60 kW at 3000 r.p.m. The maximum diameter of the clutch is 250 mm and the axial force is limited to 600 N. Also find the mean unit pressure on each contact surface. Q.3 A cone clutch is to be designed to transmit 7.5 kW at 900 r.p.m. The cone has a face angle of 12°. The width of the face is half of the mean radius and the normal pressure between the contact faces is not to exceed 0.09 N/mm². Assuming uniform wear and the coefficient of friction between the contact faces as 0.2, find the main dimensions of the clutch and the axial force required to engage the clutch. Q.4 A cone clutch is mounted on a shaft which transmits power at 225 r.p.m. The small diameter of the cone is 230 mm, the cone face is 50 mm and the cone face makes an angle of 15 deg with the horizontal. Determine the axial force necessary to engage the clutch to transmit 4.5 kW if the coefficient of friction of the contact surfaces is 0.25. What is the maximum pressure on the contact surfaces assuming uniform wear? Q.5 A soft surface cone clutch transmits a torque of 200 N-m at 1250 r.p.m. The larger diameter of the clutch is 350 mm. The cone pitch angle is 7.5 deg and the face width is 65 mm. If the coefficient of friction is 0.2. find: 1. the axial force required to transmit the torque: 2. the axial force required to engage the clutch; 3. the average normal pressure on the contact surfaces when the maximum torque is being transmitted; and 4. the maximum normal pressure assuming uniform wear. Q.6 A single block brake, as shown in Fig. 1. has the drum diameter 250 mm. The angle of contact is 90° and the coefficient of friction between the drum and the lining is 0.35. If the torque transmitted by the brake is 70 N-m, find the force P required to operate the brake. Q.7 The layout and dimensions of a double shoe brake is shown in Fig. 2. The diameter of the brake drum is 300 mm and the contact angle for each shoe is 90°. If the coefficient of friction for the brake lining and the drum is 0.4, find the spring force necessary to transmit a torque of 30 N-m. Also determine the width of the brake shoes, if the bearing pressure on the lining material is not to exceed 0.28N / m * m ^ 2
RS Khurmi Machine Design Clutch and Brake Exercise Numerical Solutions
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Atif Razi
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CATTLE MEDICAL DIAGNOSIS AND PREDICTION USING MACHINE LEARNING
1.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 09 Issue: 05 | May 2022 www.irjet.net p-ISSN: 2395-0072 © 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 3867 CATTLE MEDICAL DIAGNOSIS AND PREDICTION USING MACHINE LEARNING Harsh J. Shah1, Chirag Sharma2, Chirag Joshi3 1,2,3-Member, Young Engineer’s Club, Science Kidz Educare, Mumbai, Maharashtra, India ---------------------------------------------------------------------***--------------------------------------------------------------------- Abstract - Cattle Livestock Rearing is a major business in India with over 300 million cattle present in India. The total number of cattle throughout the world amounts to around 1 billion. The main products of this industry are milk and milk products, meats, and hides. The cattle unable to supply the former is used for transport and on farms for ploughing. The American Cattle Industry alone is worth about $77 billion. This makes the cattle sector one of the most valued industries in the world. Yet, there is not any significant system to keep health checks on these prized possessions except by workforce. In this age of reducing labour, excess workforce is expensive and does not always guarantee correct examinations. This void of a system causes annual losses of about $4-5 billion in the US alone. This can completely be avoided by using Deep Learning. With our Health Check System, we aim to surmount this challenge by capturing images of key areas in cattle and comparing them with a massive dataset of ill and healthy cattle to decide whether the animal is healthy or needs to be quarantined to prevent further spread of infection. This will provide a major boost to the cattle industry as it will narrow down the chances of a widespread infection causing losses with the help of Deep Learning. Key Words: Cattle Rearing, Deep Learning, Machine Learning, Infection Detection, Disease Prevention 1. INTRODUCTION Livestock Rearing is a massive business today with almost a billion cattle existing throughout the world. The $77 Billion Cattle Industry in America has seen a steady decline in cattle population and has suffered losses due to extreme outbursts of diseases. In 1992, there were about 120,000,000 cattle in the US. Now, it has declined to about 92 million. In 2015, about 3.9 million cattle were lost due to either non-predator or predator causes. This amounts to about $3.7 billion in losses. These deaths are dominated by non-predator causes as they account for 98% of the deaths in cattle and 89% in calves. Majorly, Respiratory Diseases make up about 23.9% of the total non-predator deaths in cattle and 26.9% in calves. A major group of respiratory diseases is the Bovine Viral Diseases. The usual symptoms include face lesions, ocular discharge, and nasal discharge. By using a highly trained prediction model, we can ease the process of infection detection and prevent any outbreaks. This will not only reduce the need for a large workforce, but also will provide a fool proof method to keep a check on livestock. 1.1 Traditional Method Steps Involved in Traditional Infection Detection: BVD is diagnosed based on samples tested at laboratories. Necroscopy findings are also considered. Body Temperature is kept under a strict vigilance and any fluctuations are noted. Milk Production is monitored. A sudden drop in production indicates infection. Nasal discharge and ocular discharge(eyes) are observed. 1.2 Problems Faced: 1. Low Infection Detection Rate. 2. Large Workforce needed. 3. Low Disease Incubation Period. 4. Risk of Outbreak. 5. Probability of Disease spreading to humans. 6. Human Intervention destabilises cattle 7. Symptoms difficult to observe. 2. SOLUTION The proposed solution is an easy-to-use software named “Cattle Infection Diagnosis,” which aims to ease the process of ensuring each cattle remains healthy. A setup of 3 cameras is installed to capture images of the designated area and send them over to the control centre aka the laptop. The three cameras are positioned at parts which are the most susceptible to display symptoms and this ensures that the best output is generated while using less resources. These body parts include the eye, the nose section, and the neck. Currently, cattle diagnosis requires dealing with hostile cattle which makes the process
2.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 09 Issue: 05 | May 2022 www.irjet.net p-ISSN: 2395-0072 © 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 3868 inefficient. My deep learning model aims to make the process smoother and accurate. Fig –1: Prototype Software This model can be implemented in washing sheds which will help do two tasks at one time. To diagnose a cow, the caretaker must make sure that the cow is aligned with the cameras. Once the cow is in place, he/she should trigger the cameras which will capture images and port them to the software. This will pass the image through the classification model and a result will be produced. Or else, the path of the image can be passed through and an output can be received. If the cow has ocular discharge, an output of an “Ill Eye” will be received. If the cow has a healthy nose section, a “Healthy Nose” output is received. Likewise, such outputs are received from all the sections. This helps caretakers determine whether the cattle are healthy or otherwise. Fig -2: Model (not yet implemented) 3. METHOD Fig –3: Methodology The system is built upon the “TensorFlow” machine learning library as well as the “Keras” deep neural network library in Python. The model includes three cameras and a control center (personal computer). All the classification is done through a Python code. 3. IMPLEMENTATION AND RESULTS The system aims to diagnose symptoms in the nasal, eye and the neck area Fig –4: Flowchart of the software
3.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 09 Issue: 05 | May 2022 www.irjet.net p-ISSN: 2395-0072 © 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 3869 In all, there are 6 possibilities: 1st Possibility: HEALTHY EYE Fig –5: Prediction 1- Healthy Eye If the cow has a healthy eye, a similar output will be displayed. Here, the path guides to the image of a healthy eye. On pressing “Enter” the image is run through 10 layers of classification and is funneled into its respective category. The image is displayed as well. A Clear Eye suggests that the cow does not have ocular discharge, a major symptom of the Bovine Respiratory Disease. 2nd Possibility: HEALTHY NASAL SECTION Fig –6: Prediction 2- Healthy Nose If the cow does not have any nasal discharge, it again eliminates a major symptom of the Bovine Disease. HEALTHY SIDE Fig –7: Prediction 3- Healthy Side If the cow has an infection-less neck region, an output of Healthy Side will be received. Any minor anomaly will also be classified as a healthy side. ILL EYE Fig –8: Prediction 4- Ill Eye If the cow has Kerato-conjunctivitis and a cloudy/foggy eye is captured, it is classified as an Ill eye. Also, if the eye is either bloody or has flesh extrusions, it will again be classified as an Ill eye. Also, a similar result will be observed if the cow has ocular discharge.
4.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 09 Issue: 05 | May 2022 www.irjet.net p-ISSN: 2395-0072 © 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 3870 ILL NOSE Fig –9: Prediction 5- Ill Nose If the cow shows signs of mucous discharge through nostrils, an Ill Nose output is received. ILL SIDE Fig –10: Prediction 8- Ill Side If the neck region has ringworms, lesions, or any other dermatological disease, the output received is Ill Side. CAPTURE FUNCTION: All the same outputs can be received if the “CAPTURE” and the “PROCEED” buttons are used. Fig –11: Prediction through a camera CONCLUSION: The target of this software is to provide resources to determine whether cattle are healthy or unhealthy through machine learning. It aims to help cattle owners to keep their livestock healthy without human intervention. It would be helpful to increase efficiency in infection diagnosis and prevent any contagious diseases from spreading amongst either cattle or from cattle to humans. This will be revolutionary as the number of cattle lost per year will decrease and in turn reduce losses and make the cattle Industry lucrative again. REFERENCES: https://www.simplilearn.com/keras-vs-tensorflow-vs- pytorch-article https://www.aphis.usda.gov/animal_health/nahms/gener al/downloads/cattle_calves_deathloss_2015.pdf https://www.bmc.com/blogs/deep-neural-network/ https://www.analyticsvidhya.com/blog/2022/01/image- classification-using-machine-learning/ BIOGRAPHIES: 1. HARSH J. SHAH: Technology Enthusiast & Innovator. 2. CHIRAG SHARMA: Electronics Engineer, Technical Mentor and Researcher. 3. CHIRAG JOSHI: Electronics Engineer, Technical Mentor and Researcher.
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