Livestock are farm animals who are raised to generate profit. They are used for the commodities such as meat, eggs, milk, fur, leather and wool. Livestock animals usually distribute in remote areas, with relatively poor condition of disease diagnosis. Generally, it is difficult to carry out disease diagnosis rapidly and accurately.
Livestock diseases often pose a risk to public health and even affects the economy at large extent as we are quite dependent on the essential commodities we procure from the livestock. It is necessary to detect the disease outcome in the livestock to take the precautionary measures in order to avoid spread amongst them. So, there is a need for a system which can help in predicting the diseases among livestock on the basis of symptoms and suggest the precautionary measures to be taken with respect to the disease predicted. Our proposed system will predict the livestock (Cow, Sheep and Goat) disease using SVC (Support Vector Classifier) multi-class classification algorithm based on the symptoms and also provide the precautionary measures on the basis of disease predicted. There are some diseases which can prove to be fatal. So, our system will also alert the livestock owner if the predicted disease may cause a sudden death.
• Conference Management System- A web based application which supports the conferences of an organization. Through this application, all the administrative and organizational tasks of a conference can be managed. Designed by using JSP and MySQL database as a backend.
Agricultural Robots or agribot is a robot deployed for agricultural purposes. The main area of application of robots in agriculture is at the harvesting stage. Fruit picking robots, driverless tractor / sprayer, and sheep shearing robots are designed to replace human labor. In most cases, a lot of factors have to be considered (e.g., the size and color of the fruit to be picked) before the commencement of a task. Robots can be used for other horticultural tasks such as pruning, weeding, spraying and monitoring. Robots can also be used in livestock applications (livestock robotics) such as automatic milking, washing and castrating. Robots like these have many benefits for the agricultural industry, including a higher quality of fresh produce, lower production costs, and a smaller need for manual labor.
• Conference Management System- A web based application which supports the conferences of an organization. Through this application, all the administrative and organizational tasks of a conference can be managed. Designed by using JSP and MySQL database as a backend.
Agricultural Robots or agribot is a robot deployed for agricultural purposes. The main area of application of robots in agriculture is at the harvesting stage. Fruit picking robots, driverless tractor / sprayer, and sheep shearing robots are designed to replace human labor. In most cases, a lot of factors have to be considered (e.g., the size and color of the fruit to be picked) before the commencement of a task. Robots can be used for other horticultural tasks such as pruning, weeding, spraying and monitoring. Robots can also be used in livestock applications (livestock robotics) such as automatic milking, washing and castrating. Robots like these have many benefits for the agricultural industry, including a higher quality of fresh produce, lower production costs, and a smaller need for manual labor.
The purpose of this project is to control robot with an interface board of the Raspberry Pi, sensors and software to full fill real time requirement.
Controlling DC motors, different sensors, camera interfacing with raspberry Pi using GPIO pin.
Live streaming, Command the robot easily, sends data of different sensors which works automatically or control from anywhere at any time.
Design of the website and control page of robot is done using Java tools and HTML. This system works on IOT concept.
This will enable Raspberry Pi to be used for more robotic applications and cut down the cost for building an IOT Robot.
Web development on web was part of a project in the final year of Engineering to demonstrate the implementation and application of SaaS using Microsoft Silverlight.
The application facilitated creation of web pages without having a need to install any HTML editor based software.
Startup India is an initiative of the Government of India.
The campaign was first announced by Indian Prime Minister, Narendra Modi during his 15 August 2015 address from the Red Fort, in New Delhi. The action plan of this initiative, is based on the following three pillars:
i )Simplification and Handholding.
ii) Funding Support and Incentives.
iii) Industry-Academia Partnership and Incubation.
An additional area of focused relating to this initiative, is to discard restrictive States Government policies within this domain, such as License Raj, Land Permissions, Foreign Investment Proposals, and Environmental Clearances. It was organized by The Department of Industrial Policy and Promotion (DIPP)
A startup defined as an entity that is headquartered in India, which was opened less than seven years ago, and has an annual turnover less than ₹25 crore (US$3.5 million).[3] Under this initiative, the government has already launched the I-MADE program, to help Indian entrepreneurs build 1 million mobile app start-ups, and the MUDRA Banks scheme (Pradhan Mantri Mudra Yojana), an initiative which aims to provide micro-finance, low-interest rate loans to entrepreneurs from low socioeconomic backgrounds.[4] Initial capital of ₹200 billion (US$2.8 billion) has been allocated for this scheme.
Ignou MCA 4th semester mini project report. College admission system. This project is based on real working system of University seat allocation to affiliate colleges. College admission system provide seat allocation process for various UG PG programs for every academic session.
The purpose of this project is to control robot with an interface board of the Raspberry Pi, sensors and software to full fill real time requirement.
Controlling DC motors, different sensors, camera interfacing with raspberry Pi using GPIO pin.
Live streaming, Command the robot easily, sends data of different sensors which works automatically or control from anywhere at any time.
Design of the website and control page of robot is done using Java tools and HTML. This system works on IOT concept.
This will enable Raspberry Pi to be used for more robotic applications and cut down the cost for building an IOT Robot.
Web development on web was part of a project in the final year of Engineering to demonstrate the implementation and application of SaaS using Microsoft Silverlight.
The application facilitated creation of web pages without having a need to install any HTML editor based software.
Startup India is an initiative of the Government of India.
The campaign was first announced by Indian Prime Minister, Narendra Modi during his 15 August 2015 address from the Red Fort, in New Delhi. The action plan of this initiative, is based on the following three pillars:
i )Simplification and Handholding.
ii) Funding Support and Incentives.
iii) Industry-Academia Partnership and Incubation.
An additional area of focused relating to this initiative, is to discard restrictive States Government policies within this domain, such as License Raj, Land Permissions, Foreign Investment Proposals, and Environmental Clearances. It was organized by The Department of Industrial Policy and Promotion (DIPP)
A startup defined as an entity that is headquartered in India, which was opened less than seven years ago, and has an annual turnover less than ₹25 crore (US$3.5 million).[3] Under this initiative, the government has already launched the I-MADE program, to help Indian entrepreneurs build 1 million mobile app start-ups, and the MUDRA Banks scheme (Pradhan Mantri Mudra Yojana), an initiative which aims to provide micro-finance, low-interest rate loans to entrepreneurs from low socioeconomic backgrounds.[4] Initial capital of ₹200 billion (US$2.8 billion) has been allocated for this scheme.
Ignou MCA 4th semester mini project report. College admission system. This project is based on real working system of University seat allocation to affiliate colleges. College admission system provide seat allocation process for various UG PG programs for every academic session.
The information technology played an important role in information
and knowledge dissemination in the last decade. The usage of IT to
transfer information and knowledge in the animal health care domain
using expert systems is one of the areas investigated by many
institutions. The current era is witnessing a vast development in all
fields of animal health care. Therefore there is a need for an
unconventional method to transfer the knowledge of experts in this
domain to the general public of livestock holders, especially that the
number of experts in new technologies is lesser than their demand in a
certain domain. The transfer of knowledge from veterinary consultants
& scientists to livestock holders represents a bottleneck for the
development of animal health care in any country. Expert systems are
simply computer software programs that mimic the behaviour of human
experts. They are one of the successful applications of the Artificial
Intelligence field, a branch in Computer Science that investigates how
to make the machine think like human or do tasks that humans do.
Expert Systems are very helpful to ensure an effective and nationally
coordinated approach in response to emergency incidents and in routine
bio-security activities. Such systems enable better management of the
information and resources used to manage animal’s diseases and
emergency responses to incursions.
Improving Disease Surveillance in the United States Using Companion Animal DataPamela Okerholm
This poster was created for the Engineered Solutions course in partial fulfillment of the MS in Conservation Medicine program at the Cummings School of Veterinary Medicine at Tufts. It describes the "Veterinary Health Event Reporter" as a proposed technological solution to improving data sharing between agencies involved with zoonotic disease outbreaks.
A study on real time plant disease diagonsis systemIJARIIT
We aim to develop a real time application to the farmers for managing crop diseases. However, disease detection requires
continuous monitoring of experts which might be prohibitively expensive in large farms area. Automatic detection of plant diseases
is an essential research topic as it may prove benefits in monitoring large fields of crops and thus automatically detect the symptoms
of diseases as soon as they appear on plant leaves. Regarding plant disease diagnosis methodologies to detect diseases on crops,
image processing in disease diagnosis and eAGROBOT was studied. This paper is aiming to all are collectively used and formed
semi real time system for a disease diagnosis which uses image processing and data mining concepts to give pesticide
recommendation and pesticide cost estimation system. Thus the android application makes a good foundation for following effective
characteristic parameters for the disease diagnoses and setting up recommender system. The system is to be designed and developed
using Android studio as front-end software and SQLite as back-end software. The pictures and remedial measures of the diseases
were stored in the database and can be retrieved whenever necessary. The challenge is to make the farmers listen to the crop disease
diagnosis system and to get the advice related to the crop diseases. The constraint here is to develop the expert in local languages so
that farmers can operate the ES by themselves and get expert advice from the system.
Plug In Generator To Produce Variant Outputs For Unique Data.IJRES Journal
Our modern world comprising of abundant chronic diseases which are affecting humankind, awful thing is that they affect the people without being notified until the end. In this project we proposed a system in which the user identifies the disease by providing the symptoms which he is experiencing. The user selects the multiple symptoms which he/she is suffering and submits them for evaluation using String Matching System. The database consists of limited number of diseases, with well organized pattern structure of symptoms. Using a friendly interface, user can input the data in the questionnaire form developed. Artificial Bee Colony Optimization [ABC] algorithm, i.e., a Machine Learning algorithm embedded in the project provides an optimistic disease along with its prevention and curing methods, but before ABC produces optimistic disease, String Matching System approach gives an accurate disease with which the human is suffering from. The above said data transformed into web can be considered as an offline browsing system which can be used by any educated personalities, to generally know what is happening and gets enough idea before visiting the practitioner.
Its my utmost belief that Kenya and other developing countries should be in the mainstream of adapting technology in excellent service delivery.
Veterinary Medicine applications of technology can improve education and service delivery.Here i highlight Informatics, Diagnostics,Biotechnology.Data analysis,Simualtion modelling and networks to outline policy changes for Kenya
In a pig farm, it is challenging for the farm caretaker to monitor the health and well-being status of all animals in a continuous manner throughout the day. Automated tools are needed to remotely monitor all the pigs on the farm and provide early alerts to the farm caretaker for situations that need immediate attention. With this goal, we developed a sensor board that can be mounted on the ears of individual pigs to generate data on the animal’s activity, vocalization, and temperature. The generated data will be used to develop machine learning models to classify the behavioral traits associated with each animal over a testing period. A number of factors influencing the technology adoption by farm caretakers are also discussed.
Understanding the Impact and Challenges of Corona Crisis on Education Sector...vivatechijri
n the second week of March 2020, governments of all states in a country suddenly declared
shutting down of all colleges and schools for a temporary period of time as an immediate measure to stop the
spread of pandemic that is of novel corona virus. As the days pass by almost close to a month with no certainty
when they will again reopen. Due to pandemic like this an alarm bells have started sounding in the field of
education where a huge impact can be seen on teaching and learning process as well as on the entire education
sector in turn. The pandemic disruption like this is actually gave time to educators of today to really think about
the sector. Through the present research article, the author is highlighting on the possible impact of
coronavirus on education sector with the future challenges for education sector with possible suggestions.
LEADERSHIP ONLY CAN LEAD THE ORGANIZATION TOWARDS IMPROVEMENT AND DEVELOPMENT vivatechijri
This paper is explaining that how only leadership is responsible for sustainable improvement and
growth and only it can lead the organization towards improvement and overall development. Leadership and its
effectiveness are discussed in this research work and also how leadership is a different way of the success of the
organization and different from the traditional management to create true work-culture and good-will of the
organization in the social scene. Leadership is only responsible in bringing positive and negative change in the
organization; if the leadership doesn’t have the concern in the organization, the organization will not be able to
lead in the right direction towards improvement and development.
The topic of assignment is a critical problem in mathematics and is further explored in the real
physical world. We try to implement a replacement method during this paper to solve assignment problems with
algorithm and solution steps. By using new method and computing by existing two methods, we analyse a
numerical example, also we compare the optimal solutions between this new method and two current methods. A
standardized technique, simple to use to solve assignment problems, may be the proposed method
Structural and Morphological Studies of Nano Composite Polymer Gel Electroly...vivatechijri
n today’s society, we stand before a change in energy scarcity. As our civilization grows, many
countries in thedeveloping world seek to have the standard of living that has been exclusive to a few nations, so
their arises a need in thedevelopment of technology that is compatible enough with the resources provided by
nature in order to have sustainabledevelopment to all class of the society. In order to overcomethe prevailing
challenges of huge energy crises in near future, there is an urgent need for the development of electrical
vehiclesor hybrid electrical vehicles with low CO2 emissions using renewable energy sources. In view of the
above, electrochemicalcapacitors can fulfil the requirements to some extent.Preparation of nano composite
polymer gel electrolyte is the best optional product to overcome these problems. When fillers are added or
dispersed to the polymer gel electrolyte, amorphous or porous nature of electrolyte increases which enhances
the liquid absorbing quality of polymer and helps in removing the drawbacks of polymer gel electrolytes such as
leakage, poor mechanical and thermal stability etc. In this work dispersion of SiO2 nano filler is done in the
[PVdF (HFP)-PC-Mg (ClO4)2] for the synthesis of nano composite PGE [PVdF (HFP)-PC-MgClO4- SiO2].
Optimization and characterization was carried out by using various techniques.
Theoretical study of two dimensional Nano sheet for gas sensing applicationvivatechijri
This study is focus on various two dimensional material for sensing various gases with theoretical
view for new research in gas sensing application. In this paper we review various two dimensional sheet such as
Graphene, Boron Nitride nanosheet, Mxene and their application in sensing various gases present in the
atmosphere.
METHODS FOR DETECTION OF COMMON ADULTERANTS IN FOODvivatechijri
Food is essential forliving. Food adulteration deceives consumers and can endanger their health. The
purpose of this document is to list common food adulterant methods commonly found in India. An adulterant is
a substance found in other substances such as food, cosmetics, pharmaceuticals, fuels, or other chemicals that
compromise the safety or effectiveness of that substance. The addition of adulterants is called adulteration. The
most common reason for adulteration is the use of undeclared materials by manufacturers that are cheaper than
the correct and declared ones. The adulterants can be harmful or reduce the effectiveness of the product, or
they can be harmless.
The novel ideas of being a entrepreneur is a key for everyone to get in the hustle, but developing a
idea from core requires a systematic plan, time management, time investment and most importantly client
attention. The Time required for developing may vary from idea to idea and strength of the team. Leadership to
build a team and manage the same throughout the peak of development is the main quality. Innovations and
Techniques to qualify the huddles is another aspect of Business Development and client Retention.
Innovation for supporting prosperity has for quite some time been a focus on numerous orders, including PC science, brain research, and human-PC connection. In any case, the meaning of prosperity isn't continuously clear and this has suggestions for how we plan for and evaluate advances that intend to cultivate it. Here, we talk about current meanings of prosperity and how it relates with and now and then is a result of self-amazing quality. We at that point center around how innovations can uphold prosperity through encounters of self-amazing quality, finishing with conceivable future bearings.
An Alternative to Hard Drives in the Coming Future:DNA-BASED DATA STORAGEvivatechijri
Demand for data storage is growing exponentially, but the capacity of existing storage media is not keeping up, there emerges a requirement for a storage medium with high capacity, high storage density, and possibility to face up to extreme environmental conditions. According to a research in 2018, every minute Google conducted 3.88 million searches, other people posted 49,000 photos on Instagram, sent 159,362,760 e-mails, tweeted 473,000 times and watched 4.33 million videos on YouTube. In 2020 it estimated a creation of 1.7 megabytes of knowledge per second per person globally, which translates to about 418 zettabytes during a single year. The magnetic or optical data-storage systems that currently hold this volume of 0s and 1s typically cannot last for quite a century. Running data centres takes vast amounts of energy. In short, we are close to have a substantial data-storage problem which will only become more severe over time. Deoxyribonucleic acid (DNA) are often potentially used for these purposes because it isn't much different from the traditional method utilized in a computer. DNA’s information density is notable, 215 petabytes or 215 million gigabytes of data can be stored in just one gram of DNA. First we can encode all data at a molecular level and then store it in a medium that will last for a while and not become out-dated just like floppy disks. Due to the improved techniques for reading and writing DNA, a rapid increase is observed in the amount of possible data storage in DNA.
The usage of chatbots has increased tremendously since past few years. A conversational interface is an interface that the user can interact with by means of a conversation. The conversation can occur by speech but also by text input. When a chatty interface uses text, it is also described as a chatbot or a conversational medium. During this study, the user experience factors of these so called chatbots were investigated. The prime objective is “to spot the state of the art in chatbot usability and applied human-computer interaction methodologies, to research the way to assess chatbots usability". Two sorts of chatbots are formulated, one with and one without personalisation factors. the planning of this research may be a two-by-two factorial design. The independent variables are the two chatbots (unpersonalised versus personalised) and thus the speci?c task or goal the user are ready to do with the chatbot within the ?nancial ?eld (a simple versus a posh task). The results are that there was no noteworthy interaction effect between personalisation and task on the user experience of chatbots. A signi?cant di?erence was found between the two tasks with regard to the user experience of chatbots, however this variation wasn't because of personalisation.
The Smart glasses Technology of wearable computing aims to identify the computing devices into today’s world.(SGT) are wearable Computer glasses that is used to add the information alongside or what the wearer sees. They are also able to change their optical properties at runtime.(SGT) is used to be one of the modern computing devices that amalgamate the humans and machines with the help of information and communication technology. Smart glasses is mainly made up of an optical head-mounted display or embedded wireless glasses with transparent heads- up display or augmented reality (AR) overlay in it. In recent years, it is been used in the medical and gaming applications, and also in the education sector. This report basically focuses on smart glasses, one of the categories of wearable computing which is very popular presently in the media and expected to be a big market in the next coming years. It Evaluate the differences from smart glasses to other smart devices. It introduces many possible different applications from the different companies for the different types of audience and gives an overview of the different smart glasses which are available presently and will be available after the next few years.
Future Applications of Smart Iot Devicesvivatechijri
With the Internet of Things (IoT) bit by bit creating as the resulting time of the headway of the Internet, it gets critical to see the diverse expected zones for the utilization of IoT and the research challenges that are connected with these applications going from splendid savvy urban areas, to medical care administrations, shrewd farming, collaborations and retail. IoT is needed to attack into for all expectations and purposes for all pieces of our day-to-day life. Despite the fact that the current IoT enabling advancements have immensely improved in the continuous years, there are so far different issues that require attention. Since the IoT ideas results from heterogeneous advancements, many examination difficulties will arise. In like manner, IoT is planning for new components of exploration to be finished. This paper presents the progressing headway of IoT advancements and inspects future applications.
Cross Platform Development Using Fluttervivatechijri
Today the development of cross-platform mobile application has under the state of compromise. The developers are not willing to choose an alternative of either building the similar app many times for many operating systems or to accept a lowest common denominator and optimal solution that will going to trade the native speed, accuracy for portability. The Flutter is an open-source SDK for creating high-performance, high fidelity mobile apps for the development of iOS and Android. Few significant features of flutter are - Just-in-time compilation (JIT), Ahead- of-time compilation (AOT compilation) into a native (system-dependent) machine code so that the resulting binary file can execute natively. The Flutter’s hot reload functionality helps us to understand quickly and easily experiment, build UIs, add features, and fix bugs. Hot reload works by injecting updated source code files into the running Dart Virtual Machine (VM). With the help of Flutter, we believe that we would be having a solution that gives us the best of both worlds: hardware accelerated graphics and UI, powered by native ARM code, targeting both popular mobile operating systems.
The Internet, today, has become an important part of our lives. The World Wide Web that was once a small and inaccessible data storage service is now large and valuable. Current activities partially or completely integrated into the physical world can be made to a higher standard. All activities related to our daily life are mapped and linked to another business in the digital world. The world has seen great strides in the Internet and in 3D stereoscopic displays. The time has come to unite the two to bring a new level of experience to the users. 3D Internet is a concept that is yet to be used and requires browsers to be equipped with in-depth visualization and artificial intelligence. When this material is included, the Internet concept of material may become a reality discussed in this paper. In this paper we have discussed the features, possible setting methods, applications, and advantages and disadvantages of using the Internet. With this paper we aim to provide a clear view of 3D Internet and the potential benefits associated with this obviously cost the amount of investment needed to be used.
Recommender System (RS) has emerged as a significant research interest that aims to assist users to seek out items online by providing suggestions that closely match their interests. Recommender system, an information filtering technology employed in many items is presented in internet sites as per the interest of users, and is implemented in applications like movies, music, venue, books, research articles, tourism and social media normally. Recommender systems research is usually supported comparisons of predictive accuracy: the higher the evaluation scores, the higher the recommender. One amongst the leading approaches was the utilization of advice systems to proactively recommend scholarly papers to individual researchers. In today's world, time has more value and therefore the researchers haven't any much time to spend on trying to find the proper articles in line with their research domain. Recommender Systems are designed to suggest users the things that best fit the user needs and preferences. Recommender systems typically produce an inventory of recommendations in one among two ways -through collaborative or content-based filtering. Additionally, both the general public and also the non-public used descriptive metadata are used. The scope of the advice is therefore limited to variety of documents which are either publicly available or which are granted copyright permits. Recommendation systems (RS) support users and developers of varied computer and software systems to beat information overload, perform information discovery tasks and approximate computation, among others.
The study LiFi (Light Fidelity) demonstrates about how can we use this technology as a medium of communication similar to Wifi . This is the latest technology proposed by Harold Haas in 2011. It explains about the process of transmitting data with the help of illumination of an Led bulb and about its speed intensity to transmit data. Basically in this paper, author will discuss about the technology and also explain that how we can replace from WiFi to LiFi . WiFi generally used for wireless coverage within the buildings while LiFi is capable for high intensity wireless data coverage in limited areas with no obstacles .This research paper represents introduction of the Lifi technology,performance,modulation and challenges. This research paper can be used as a reference and knowledge to develop some of LiFitechnology.
Social media platform and Our right to privacyvivatechijri
The advancement of Information Technology has hastened the ability to disseminate information across the globe. In particular, the recent trends in ‘Social Networking’ have led to a spark in personally sensitive information being published on the World Wide Web. While such socially active websites are creative tools for expressing one’s personality it also entails serious privacy concerns. Thus, Social Networking websites could be termed a double edged sword. It is important for the law to keep abreast of these developments in technology. The purpose of this paper is to demonstrate the limits of extending existing laws to battle privacy intrusions in the Internet especially in the context of social networking. It is suggested that privacy specific legislation is the most appropriate means of protecting online privacy. In doing so it is important to maintain a balance between the competing right of expression, the failure of which may hinder the reaping of benefits offered by Internet technology
THE USABILITY METRICS FOR USER EXPERIENCEvivatechijri
THE USABILITY METRICS FOR USER EXPERIENCE was innovatively created by Google engineers and it is ready for production in record time. The success of Google is to attributed the efficient search algorithm, and also to the underlying commodity hardware. As Google run number of application then Google’s goal became to build a vast storage network out of inexpensive commodity hardware. So Google create its own file system, named as THE USABILITY METRICS FOR USER EXPERIENCE that is GFS. THE USABILITY METRICS FOR USER EXPERIENCE is one of the largest file system in operation. Generally THE USABILITY METRICS FOR USER EXPERIENCE is a scalable distributed file system of large distributed data intensive apps. In the design phase of THE USABILITY METRICS FOR USER EXPERIENCE, in which the given stress includes component failures , files are huge and files are mutated by appending data. The entire file system is organized hierarchically in directories and identified by pathnames. The architecture comprises of multiple chunk servers, multiple clients and a single master. Files are divided into chunks, and that is the key design parameter. THE USABILITY METRICS FOR USER EXPERIENCE also uses leases and mutation order in their design to achieve atomicity and consistency. As of there fault tolerance, THE USABILITY METRICS FOR USER EXPERIENCE is highly available, replicas of chunk servers and master exists.
Google File System was innovatively created by Google engineers and it is ready for production in record time. The success of Google is to attributed the efficient search algorithm, and also to the underlying commodity hardware. As Google run number of application then Google’s goal became to build a vast storage network out of inexpensive commodity hardware. So Google create its own file system, named as Google File System that is GFS. Google File system is one of the largest file system in operation. Generally Google File System is a scalable distributed file system of large distributed data intensive apps. In the design phase of Google file system, in which the given stress includes component failures , files are huge and files are mutated by appending data. The entire file system is organized hierarchically in directories and identified by pathnames. The architecture comprises of multiple chunk servers, multiple clients and a single master. Files are divided into chunks, and that is the key design parameter. Google File System also uses leases and mutation order in their design to achieve atomicity and consistency. As of there fault tolerance, Google file system is highly available, replicas of chunk servers and master exists.
A Study of Tokenization of Real Estate Using Blockchain Technologyvivatechijri
Real estate is by far one of the most trusted investments that people have preferred, being a lucrative investment it provides a steady source of income in the form of lease and rents. Although there are numerous advantages, one of the key downsides of real estate investments is lack of liquidity. Thus, even though global real estate investments amount to about twice the size of investments in stock markets, the number of investors in the real estate market is significantly lower. Block chain technology has real potential in addressing the issues of liquidity and transparency, opening the market to even retail investors. Owing to the functionality and flexibility of creating Security Tokens, which are backed by real-world assets, real estate can be made liquid with the help of Special Purpose Vehicles. Tokens of ERC 777 standard, which represent fractional ownership of the real estate can be purchased by an investor and these tokens can also be listed on secondary exchanges. The robustness of Smart Contracts can enable the efficient transfer of tokens and seamless distribution of earnings amongst the investors. This work describes Ethereum blockchainbased solutions to make the existing Real Estate investment system much more efficient.
Water scarcity is the lack of fresh water resources to meet the standard water demand. There are two type of water scarcity. One is physical. The other is economic water scarcity.
Immunizing Image Classifiers Against Localized Adversary Attacksgerogepatton
This paper addresses the vulnerability of deep learning models, particularly convolutional neural networks
(CNN)s, to adversarial attacks and presents a proactive training technique designed to counter them. We
introduce a novel volumization algorithm, which transforms 2D images into 3D volumetric representations.
When combined with 3D convolution and deep curriculum learning optimization (CLO), itsignificantly improves
the immunity of models against localized universal attacks by up to 40%. We evaluate our proposed approach
using contemporary CNN architectures and the modified Canadian Institute for Advanced Research (CIFAR-10
and CIFAR-100) and ImageNet Large Scale Visual Recognition Challenge (ILSVRC12) datasets, showcasing
accuracy improvements over previous techniques. The results indicate that the combination of the volumetric
input and curriculum learning holds significant promise for mitigating adversarial attacks without necessitating
adversary training.
Overview of the fundamental roles in Hydropower generation and the components involved in wider Electrical Engineering.
This paper presents the design and construction of hydroelectric dams from the hydrologist’s survey of the valley before construction, all aspects and involved disciplines, fluid dynamics, structural engineering, generation and mains frequency regulation to the very transmission of power through the network in the United Kingdom.
Author: Robbie Edward Sayers
Collaborators and co editors: Charlie Sims and Connor Healey.
(C) 2024 Robbie E. Sayers
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdffxintegritypublishin
Advancements in technology unveil a myriad of electrical and electronic breakthroughs geared towards efficiently harnessing limited resources to meet human energy demands. The optimization of hybrid solar PV panels and pumped hydro energy supply systems plays a pivotal role in utilizing natural resources effectively. This initiative not only benefits humanity but also fosters environmental sustainability. The study investigated the design optimization of these hybrid systems, focusing on understanding solar radiation patterns, identifying geographical influences on solar radiation, formulating a mathematical model for system optimization, and determining the optimal configuration of PV panels and pumped hydro storage. Through a comparative analysis approach and eight weeks of data collection, the study addressed key research questions related to solar radiation patterns and optimal system design. The findings highlighted regions with heightened solar radiation levels, showcasing substantial potential for power generation and emphasizing the system's efficiency. Optimizing system design significantly boosted power generation, promoted renewable energy utilization, and enhanced energy storage capacity. The study underscored the benefits of optimizing hybrid solar PV panels and pumped hydro energy supply systems for sustainable energy usage. Optimizing the design of solar PV panels and pumped hydro energy supply systems as examined across diverse climatic conditions in a developing country, not only enhances power generation but also improves the integration of renewable energy sources and boosts energy storage capacities, particularly beneficial for less economically prosperous regions. Additionally, the study provides valuable insights for advancing energy research in economically viable areas. Recommendations included conducting site-specific assessments, utilizing advanced modeling tools, implementing regular maintenance protocols, and enhancing communication among system components.
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.
Hierarchical Digital Twin of a Naval Power SystemKerry Sado
A hierarchical digital twin of a Naval DC power system has been developed and experimentally verified. Similar to other state-of-the-art digital twins, this technology creates a digital replica of the physical system executed in real-time or faster, which can modify hardware controls. However, its advantage stems from distributing computational efforts by utilizing a hierarchical structure composed of lower-level digital twin blocks and a higher-level system digital twin. Each digital twin block is associated with a physical subsystem of the hardware and communicates with a singular system digital twin, which creates a system-level response. By extracting information from each level of the hierarchy, power system controls of the hardware were reconfigured autonomously. This hierarchical digital twin development offers several advantages over other digital twins, particularly in the field of naval power systems. The hierarchical structure allows for greater computational efficiency and scalability while the ability to autonomously reconfigure hardware controls offers increased flexibility and responsiveness. The hierarchical decomposition and models utilized were well aligned with the physical twin, as indicated by the maximum deviations between the developed digital twin hierarchy and the hardware.
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Livestock Disease Prediction System
1. VIVA-Tech International Journal for Research and Innovation Volume 1, Issue 4 (2021)
ISSN(Online): 2581-7280 Article No. X
PP XX-XX
VIVA Institute of Technology
9th
National Conference on Role of Engineers in Nation Building – 2021 (NCRENB-2021)
1
www.viva-technology.org/New/IJRI
Livestock Disease Prediction System
Daksh Ashar1
, Amit Kanojia2
, Rahul Parihar3
, Prof. Saniket Kudoo4
(Computer Engineering, VIVA Institute of Technology, India)
Abstract : Livestock are farm animals who are raised to generate profit. They are used for the commodities such
as meat, eggs, milk, fur, leather and wool. Livestock animals usually distribute in remote areas, with relatively
poor condition of disease diagnosis. Generally, it is difficult to carry out disease diagnosis rapidly and accurately.
Livestock diseases often pose a risk to public health and even affects the economy at large extent as we are quite
dependent on the essential commodities we procure from the livestock. It is necessary to detect the disease
outcome in the livestock to take the precautionary measures in order to avoid spread amongst them. So, there is
a need for a system which can help in predicting the diseases among livestock on the basis of symptoms and
suggest the precautionary measures to be taken with respect to the disease predicted. Our proposed system will
predict the livestock (Cow, Sheep and Goat) disease using SVC (Support Vector Classifier) multi-class
classification algorithm based on the symptoms and also provide the precautionary measures on the basis of
disease predicted. There are some diseases which can prove to be fatal. So, our system will also alert the livestock
owner if the predicted disease may cause a sudden death.
Keywords - Cow, Disease Prediction, Goat, Livestock, Machine Learning, Precautionary Measures, Sheep, SVC.
I. INTRODUCTION
The livestock sector plays an important role in the socio-economic development of rural households. A large
number of people in India being less literate and unskilled depend upon agriculture for their livelihoods. Livestock
is a source of subsidiary income for many families in India especially the resource poor who maintain few heads
of animals. One of the major obstacles in achieving the targeted growth rates in the sector is the prevalence and
outbreaks of diseases. This livestock disease is the great threat to the animal health as well as to human those are
in direct contact with animals and who consumes the product of the animal who has been infected by certain
disease.
Livestock animals usually distribute in remote areas with relativelypoor condition of diseases diagnosis rapidly
and accurately. It is necessary to detect the disease outcome in the livestock to take the precautionary measures in
order to avoid spread amongst them. There is a need for a system that helps to create awareness among livestock
owners about the disease prevailing in the animal and taking the necessary precautions and also making the owner
aware that disease can be the reason for death of animals.
In the existing system, the disease outbreak among the animals is predicted based on certain condition and it
is also concerned to a specific animal and disease. Animal owners are often unaware of whether the disease is
mild or might prove fatal and precautions to be taken at appropriate time. Our proposed system will predict the
livestock (Cow, Sheep and Goat) disease based on the symptoms and also provide the precautionary measures on
the basis of disease predicted. It will also alert the livestock owner if the predicted disease may cause a sudden
death.
II. RELATED WORK
Ayesha Taranum, et. al. [1], proposed the method which analyses the disease by symptoms and also verify the
scan image for determining the diseases in canine. It helps the pet Owners to diagnosis the disease, which
minimizes the risk and in minor cases there is no need to contact veterinary. Varun Garg, et. al. [2], provides a
methodology that how the use of machine learning can detect cattle diseases which can provide economical and
medical solution to place with scarce in medical facilities for farm animals. The system provides early detection
of the disease which can prevent delays in identifying heinous diseases. System further performs an intelligent
2. VIVA-Tech International Journal for Research and Innovation Volume 1, Issue 4 (2021)
ISSN(Online): 2581-7280 Article No. X
PP XX-XX
VIVA Institute of Technology
9th
National Conference on Role of Engineers in Nation Building – 2021 (NCRENB-2021)
2
www.viva-technology.org/New/IJRI
analysis from the sensor data of a hardware device and detect whether the cattle is Suffering from a disease or not.
Long Wan, Wenxing Bao, [3], proposed a paper that proved the practicality of support vector machine (SVM)
used in the animal disease diagnoses expert system in theory by studying the disease diagnosis expert system
based on SVM. They have designed the model of animal disease diagnoses expert system which was used to
diagnose the cow diseases. It shows that the method is practical and effective. And this practice provides a new
approach for animal disease diagnosis.
Lijing Niu, Chenhao Yang, et. al. [4], proposed the method which analyses the data of a large number of
electronic medical records, and use the SVM algorithm in machine learning to classify texts. Then use the data
mining association algorithm to correlate the disease of the cattle according to the symptoms of the cattle, and
give corresponding diagnosis and treatment suggestions in time. K. P. Suresh, et. al. [5], provides a method that
is based on the environmental parameters of the particular area, early recognition of a serious or exotic animal
disease can be done which is one of the most important factors influencing the chance of controlling the disease.
As many diseases are linked to environmental deterioration and stress associated with farm intensification.
III. METHODOLOGY
The objective of the project is to classify the disease on the basis of the input selected by the user. Also provide
the precautionary measures of the disease predicted and alert the livestock owner in case if the predicted disease
may cause a sudden death. The outcome is to create awareness of the disease that can cause sudden death any
time in future. Providing precautionary measure helps to rehabilitate animal from diseases and also help to stop
the spread of the disease to other animals or people taking care of animals by making the user aware of respective
disease.
Livestock disease prediction system is used to predict multiple diseases. In order to predict multiple diseases
or different types of disease we require a multi class classification algorithm. Therefore, we have used the SVM
algorithm to prepare the model. Data is collected from various data sources and placed in a single excel file. It
contains multiple set of the symptoms depending on the animal i.e., Cow, Sheep, Goat. Each dataset contains large
number of instances. Different Model is prepared for each animal by training with appropriate dataset. Once the
user selects the animal the model for that animal will be loaded and the application will show the list of symptoms.
User selects the symptoms he had observed in the animal and submits the data. Then the data from the frontend
is passed to the trained model for prediction. The model then predicts the disease and also provides the
precautionary measures. In case if the disease is dangerous it will also alert the user. The user also has the option
to access the web page in Hindi or English language.
Figure 1: Block Diagram
3. VIVA-Tech International Journal for Research and Innovation Volume 1, Issue 4 (2021)
ISSN(Online): 2581-7280 Article No. X
PP XX-XX
VIVA Institute of Technology
9th
National Conference on Role of Engineers in Nation Building – 2021 (NCRENB-2021)
3
www.viva-technology.org/New/IJRI
Fig. 1 depicts the block diagram of the proposed system. The system takes the input of livestock and their
symptoms and passes it to the disease prediction model. Model is trained using multiclass classification algorithm.
It predicts the disease based on the symptoms selected by the user and also suggest precautionary measures along
with the alert for severe diseases.
IV. CONCLUSION
The multiclass classification algorithm is used to predict the disease among livestock. The dataset contains the
various symptoms and the name of the diseases based on the symptoms. The proposed system will be helpful for
the livestock owners to identify the diseases among livestock based on the symptoms observed by them. They
don’t have to search for the precautionary measures to be taken as this system will provide it based on the disease
predicted. The veterinaries are expertise in a particular domain (for e.g., skin disease specialist), so it will be
difficult for them to diagnose the disease of different domain. This system will be helpful to predict every type of
diseases and human errors are also reduced to great extent as the system makes decision by learning through
training using large dataset. Also, the time taken to predict the diseases is comparatively less and the system is
user friendly.
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