This document provides an overview of key concepts in distributed databases, including heterogeneous and homogeneous databases, distributed data storage using replication and fragmentation, distributed transactions, commit protocols, and distributed query processing. It discusses concepts like data transparency, naming of data items, transaction system architecture, failure modes, and the two-phase commit protocol. The document is from the 5th edition of the textbook "Database System Concepts" and covers Chapter 22 on distributed databases.
This document summarizes key concepts from Chapter 19 of the textbook "Database System Concepts, 6th Ed." including distributed databases, data storage techniques like replication and fragmentation, transaction processing, and commit protocols. Distributed databases can be homogeneous, with identical software, or heterogeneous. The two phase commit protocol is commonly used to ensure atomicity of transactions that access data across multiple database sites.
This document outlines key concepts in distributed databases from the textbook "Database System Concepts, 6th Ed." It discusses heterogeneous and homogeneous distributed databases, distributed data storage using replication and fragmentation, distributed transactions, commit protocols like two phase commit, and handling failures in distributed systems. Distributed query processing and directory systems for distributed databases are also mentioned.
This document summarizes key concepts from Chapter 19 of the textbook "Database System Concepts, 6th Ed." including distributed databases, data storage techniques like replication and fragmentation, transaction processing, and commit protocols. Distributed databases can be homogeneous, with identical software, or heterogeneous. The two phase commit protocol is commonly used to ensure atomicity of transactions that access data across multiple database sites.
This document provides an overview of key concepts in distributed databases including distributed data storage using replication and fragmentation, distributed transactions, commit protocols like two-phase commit, and concurrency control in distributed systems. Distributed databases allow data to be shared across multiple independent database systems where transactions may access data stored at different sites. Ensuring atomicity, consistency, isolation and durability of transactions in this environment presents unique challenges addressed by techniques like commit protocols and concurrency control algorithms.
This chapter discusses different database system architectures including centralized, client-server, server, parallel, and distributed systems. Centralized systems run on a single computer while client-server systems separate the front-end and back-end functionality. Server systems can be transaction servers which process requests from clients or data servers which ship data to clients. Parallel systems use multiple processors and disks to improve performance. Distributed systems spread data across multiple interconnected machines.
This document discusses different database system architectures, including centralized, client-server, parallel, and distributed systems. Centralized systems run on a single computer, while client-server systems divide functionality between front-end clients and back-end servers. Parallel systems use multiple processors and disks to improve performance. Distributed systems share data across multiple autonomous machines connected by a network.
Presentation on DBMS systems for IT ProfessionalsTushar Agarwal
This document provides an overview of database systems and concepts. It introduces key topics like data models, query languages, database design, and database management system internals. The document is an excerpt from the textbook Database System Concepts, 5th Edition, which covers relational databases, SQL, storage management, query processing, and transaction management in database systems.
Distributed databases allow data to be stored across multiple computers or sites connected through a network. The data is logically interrelated but physically distributed. A distributed database management system (DDBMS) makes the distribution transparent to users and allows sites to operate autonomously while participating in global applications. Key aspects of DDBMS include distributed transactions, concurrency control, data fragmentation and replication, distributed query processing, and ensuring transparency of the distribution.
This document summarizes key concepts from Chapter 19 of the textbook "Database System Concepts, 6th Ed." including distributed databases, data storage techniques like replication and fragmentation, transaction processing, and commit protocols. Distributed databases can be homogeneous, with identical software, or heterogeneous. The two phase commit protocol is commonly used to ensure atomicity of transactions that access data across multiple database sites.
This document outlines key concepts in distributed databases from the textbook "Database System Concepts, 6th Ed." It discusses heterogeneous and homogeneous distributed databases, distributed data storage using replication and fragmentation, distributed transactions, commit protocols like two phase commit, and handling failures in distributed systems. Distributed query processing and directory systems for distributed databases are also mentioned.
This document summarizes key concepts from Chapter 19 of the textbook "Database System Concepts, 6th Ed." including distributed databases, data storage techniques like replication and fragmentation, transaction processing, and commit protocols. Distributed databases can be homogeneous, with identical software, or heterogeneous. The two phase commit protocol is commonly used to ensure atomicity of transactions that access data across multiple database sites.
This document provides an overview of key concepts in distributed databases including distributed data storage using replication and fragmentation, distributed transactions, commit protocols like two-phase commit, and concurrency control in distributed systems. Distributed databases allow data to be shared across multiple independent database systems where transactions may access data stored at different sites. Ensuring atomicity, consistency, isolation and durability of transactions in this environment presents unique challenges addressed by techniques like commit protocols and concurrency control algorithms.
This chapter discusses different database system architectures including centralized, client-server, server, parallel, and distributed systems. Centralized systems run on a single computer while client-server systems separate the front-end and back-end functionality. Server systems can be transaction servers which process requests from clients or data servers which ship data to clients. Parallel systems use multiple processors and disks to improve performance. Distributed systems spread data across multiple interconnected machines.
This document discusses different database system architectures, including centralized, client-server, parallel, and distributed systems. Centralized systems run on a single computer, while client-server systems divide functionality between front-end clients and back-end servers. Parallel systems use multiple processors and disks to improve performance. Distributed systems share data across multiple autonomous machines connected by a network.
Presentation on DBMS systems for IT ProfessionalsTushar Agarwal
This document provides an overview of database systems and concepts. It introduces key topics like data models, query languages, database design, and database management system internals. The document is an excerpt from the textbook Database System Concepts, 5th Edition, which covers relational databases, SQL, storage management, query processing, and transaction management in database systems.
Distributed databases allow data to be stored across multiple computers or sites connected through a network. The data is logically interrelated but physically distributed. A distributed database management system (DDBMS) makes the distribution transparent to users and allows sites to operate autonomously while participating in global applications. Key aspects of DDBMS include distributed transactions, concurrency control, data fragmentation and replication, distributed query processing, and ensuring transparency of the distribution.
This document provides an overview of database system concepts, including:
- Database management systems (DBMS) are used to define, construct and manipulate databases in a convenient and efficient way.
- Databases are designed using data models and languages at the logical and physical levels, including the relational model and SQL.
- Database design involves both logical design of schemas and physical design for storage and performance.
- Database internals include storage management, query processing, and transaction management to ensure data integrity and concurrency.
- Databases have evolved from early file systems to modern systems supporting complex queries, large volumes of data, and distributed architectures.
SQL (Structured Query Language) is a powerful domain-specific language designed for managing and manipulating relational databases. It allows users to define, query, and manipulate data in a relational database management system (RDBMS). SQL consists of various commands, such as SELECT, INSERT, UPDATE, and DELETE, enabling users to interact with databases efficiently.
PL/SQL (Procedural Language/SQL) is an extension of SQL developed by Oracle. It integrates procedural constructs with SQL, allowing for the creation of stored procedures, functions, and triggers. PL/SQL enhances the capabilities of SQL by providing procedural programming features like loops, conditional statements, and exception handling. This enables the development of more complex and dynamic database applications.
DBMS (Database Management System) is a software suite that facilitates the creation, management, and interaction with databases. It provides an interface for users and applications to interact with the database, ensuring data integrity, security, and efficient data retrieval. Popular relational database management systems include Oracle Database, MySQL, Microsoft SQL Server, and PostgreSQL.
In summary, SQL is the language used to communicate with databases, PL/SQL extends SQL by adding procedural programming capabilities, and a DBMS is the overarching software that manages databases, ensuring optimal organization and retrieval of data. Each component plays a crucial role in the efficient and secure operation of database systems. If you have specific questions or need more details on any aspect, feel free to ask!SQL (Structured Query Language) is a powerful domain-specific language designed for managing and manipulating relational databases. It allows users to define, query, and manipulate data in a relational database management system (RDBMS). SQL consists of various commands, such as SELECT, INSERT, UPDATE, and DELETE, enabling users to interact with databases efficiently.
PL/SQL (Procedural Language/SQL) is an extension of SQL developed by Oracle. It integrates procedural constructs with SQL, allowing for the creation of stored procedures, functions, and triggers. PL/SQL enhances the capabilities of SQL by providing procedural programming features like loops, conditional statements, and exception handling. This enables the development of more complex and dynamic database applications.
DBMS (Database Management System) is a software suite that facilitates the creation, management, and interaction with databases. It provides an interface for users and applications to interact with the database, ensuring data integrity, security, and efficient data retrieval. Popular relational database management systems include Oracle Database, MySQL, Microsoft SQL Server, and PostgreSQL.
In summary, SQL is the language used to communicate with databases, PL/SQL extends SQL by adding procedural programming capabilities, and a DBMS is the overarching software that manage database
Database management system INTRODUCTION.pptYashShirude1
This chapter introduces database systems and their components. It discusses the purpose of database systems in overcoming the limitations of file-based data storage. Key topics covered include data models, languages for data definition and manipulation, database design methodologies, storage and query processing, and transaction management. The chapter also provides a brief history of database management systems.
This document discusses distributed databases. It begins by introducing distributed database systems and their structure. Key points include that the database is split across multiple computers that communicate over a network. It then discusses the tradeoffs of distributing a database, such as increased availability but also higher complexity. The document outlines two approaches to distributing data - replication, where copies of data are stored at different sites, and fragmentation, where relations are split into pieces stored at different sites. It provides examples to illustrate these concepts.
This document discusses database system architectures and distributed database systems. It covers transaction server systems, distributed database definitions, promises of distributed databases, complications introduced, and design issues. It also provides examples of horizontal and vertical data fragmentation and discusses parallel database architectures, components, and data partitioning techniques.
This document provides an overview of key concepts in database systems, including:
1) A database management system (DBMS) allows storage and retrieval of data in an organized manner and provides tools for managing the database.
2) Database concepts include data models, schemas, instances, data definition and manipulation languages, transactions, storage management, database administrators, and users.
3) The document describes common data models like relational and entity-relationship, and components of a DBMS like the query language SQL.
This document discusses key concepts regarding distributed databases from the textbook Database System Concepts 7th edition. It defines distributed databases as databases where data is spread across multiple machines connected by a network. It differentiates between homogeneous and heterogeneous distributed databases. It also describes issues like ensuring atomicity and availability in distributed databases.
The document discusses distributed database systems, including homogeneous and heterogeneous distributed databases, distributed data storage using replication and fragmentation, distributed transactions, commit protocols like two-phase commit, and handling failures in distributed systems. Key topics covered are replication allowing high availability but increasing complexity, fragmentation allowing parallelism but requiring joins, and two-phase commit coordinating atomic commits across multiple sites through a prepare and commit phase.
The document discusses different types of database system architectures, including centralized systems, client-server systems, parallel systems, and distributed systems. It provides details on centralized systems, which run on a single computer, and client-server systems, where client systems generate requests that are satisfied by server systems. Transaction servers and data servers are described as two types of client-server systems. The document also covers parallel database systems that consist of multiple processors and disks connected by an interconnection network, and discusses concepts of speedup and scaleup in parallel systems.
The document discusses different types of database system architectures, including centralized systems, client-server systems, parallel systems, and distributed systems. It provides details on centralized systems, which run on a single computer, and client-server systems, where client systems generate requests that are satisfied by server systems. Transaction servers and data servers are described as two types of client-server systems. The document also covers parallel database systems that consist of multiple processors and disks, and factors that can limit speedup and scaleup in parallel systems.
This document discusses distributed databases and distributed database management systems (DDBMS). It defines a distributed database as a logically interrelated collection of shared data physically distributed over a computer network. A DDBMS is software that manages the distributed database and makes the distribution transparent to users. The document outlines key concepts of distributed databases including data fragmentation, allocation, and replication across multiple database sites connected by a network. It also discusses reference architectures, components, design considerations, and types of transparency provided by DDBMS.
This document discusses different database system architectures including centralized, client-server, parallel, and distributed systems. Centralized systems run on a single computer while client-server systems divide functionality between client and server systems. Parallel systems utilize multiple processors and disks to improve performance. Distributed systems spread data across multiple machines that are connected through a network. Key aspects covered include transaction processing, data distribution, concurrency control, and atomicity in distributed systems.
The document provides an overview of database systems and concepts. It discusses how database management systems (DBMS) help organize and manage data in an efficient manner. A DBMS contains information about an enterprise, provides a set of programs to access the data, and creates an environment that is convenient and efficient to use. It also describes some common database applications, levels of abstraction in a database, data models, database design approaches, and the key components of a database management system like storage management, query processing, and transaction management.
This document provides an introduction to distributed databases. It defines a distributed database as a collection of logically related databases distributed over a computer network. It describes distributed computing and how distributed databases partition data across multiple computers. The document outlines different types of distributed database systems including homogeneous and heterogeneous. It also discusses distributed data storage techniques like replication, fragmentation, and allocation. Finally, it lists several advantages and objectives of distributed databases as well as some disadvantages.
This document discusses different database system architectures including centralized systems, client-server systems, parallel systems, and distributed systems. It provides details on the components and functionality of centralized, client-server, and transaction server architectures. It also describes data servers, addressing issues like page shipping versus item shipping, locking, data caching, and lock caching in data server systems. The document concludes with explanations of speedup and scaleup in parallel database systems.
The document summarizes key concepts in distributed database systems including:
1) Distributed database architectures have external, conceptual, and internal views of data. Common architectures include client-server and peer-to-peer.
2) Distributed databases can be designed top-down using a global schema or bottom-up without a global schema.
3) Fragmentation and allocation distribute data across sites for performance and availability. Correct fragmentation follows completeness, reconstruction, and disjointness rules.
Chapter-6 Distribute Database system (3).pptlatigudata
A distributed database management system (DDBMS) governs logically related data distributed across interconnected computer systems. A DDBMS manages a distributed database while making the distribution transparent to users. Distributed databases provide advantages like improved performance through storing data closer to where it is needed, easier expansion, and increased reliability through redundancy. However, distributed databases also introduce challenges around increased complexity, lack of standards, and security concerns.
The document provides an overview of database systems and concepts. It defines a database as a collection of interrelated data and a set of programs to access the data. Databases are used to manage large, valuable collections of data that are accessed by multiple users simultaneously. The document outlines the components and architecture of database systems, including the storage manager, query processor, transaction manager, and database engine. It also discusses data models, languages, and applications of database systems.
Comparative analysis between traditional aquaponics and reconstructed aquapon...bijceesjournal
The aquaponic system of planting is a method that does not require soil usage. It is a method that only needs water, fish, lava rocks (a substitute for soil), and plants. Aquaponic systems are sustainable and environmentally friendly. Its use not only helps to plant in small spaces but also helps reduce artificial chemical use and minimizes excess water use, as aquaponics consumes 90% less water than soil-based gardening. The study applied a descriptive and experimental design to assess and compare conventional and reconstructed aquaponic methods for reproducing tomatoes. The researchers created an observation checklist to determine the significant factors of the study. The study aims to determine the significant difference between traditional aquaponics and reconstructed aquaponics systems propagating tomatoes in terms of height, weight, girth, and number of fruits. The reconstructed aquaponics system’s higher growth yield results in a much more nourished crop than the traditional aquaponics system. It is superior in its number of fruits, height, weight, and girth measurement. Moreover, the reconstructed aquaponics system is proven to eliminate all the hindrances present in the traditional aquaponics system, which are overcrowding of fish, algae growth, pest problems, contaminated water, and dead fish.
This document provides an overview of database system concepts, including:
- Database management systems (DBMS) are used to define, construct and manipulate databases in a convenient and efficient way.
- Databases are designed using data models and languages at the logical and physical levels, including the relational model and SQL.
- Database design involves both logical design of schemas and physical design for storage and performance.
- Database internals include storage management, query processing, and transaction management to ensure data integrity and concurrency.
- Databases have evolved from early file systems to modern systems supporting complex queries, large volumes of data, and distributed architectures.
SQL (Structured Query Language) is a powerful domain-specific language designed for managing and manipulating relational databases. It allows users to define, query, and manipulate data in a relational database management system (RDBMS). SQL consists of various commands, such as SELECT, INSERT, UPDATE, and DELETE, enabling users to interact with databases efficiently.
PL/SQL (Procedural Language/SQL) is an extension of SQL developed by Oracle. It integrates procedural constructs with SQL, allowing for the creation of stored procedures, functions, and triggers. PL/SQL enhances the capabilities of SQL by providing procedural programming features like loops, conditional statements, and exception handling. This enables the development of more complex and dynamic database applications.
DBMS (Database Management System) is a software suite that facilitates the creation, management, and interaction with databases. It provides an interface for users and applications to interact with the database, ensuring data integrity, security, and efficient data retrieval. Popular relational database management systems include Oracle Database, MySQL, Microsoft SQL Server, and PostgreSQL.
In summary, SQL is the language used to communicate with databases, PL/SQL extends SQL by adding procedural programming capabilities, and a DBMS is the overarching software that manages databases, ensuring optimal organization and retrieval of data. Each component plays a crucial role in the efficient and secure operation of database systems. If you have specific questions or need more details on any aspect, feel free to ask!SQL (Structured Query Language) is a powerful domain-specific language designed for managing and manipulating relational databases. It allows users to define, query, and manipulate data in a relational database management system (RDBMS). SQL consists of various commands, such as SELECT, INSERT, UPDATE, and DELETE, enabling users to interact with databases efficiently.
PL/SQL (Procedural Language/SQL) is an extension of SQL developed by Oracle. It integrates procedural constructs with SQL, allowing for the creation of stored procedures, functions, and triggers. PL/SQL enhances the capabilities of SQL by providing procedural programming features like loops, conditional statements, and exception handling. This enables the development of more complex and dynamic database applications.
DBMS (Database Management System) is a software suite that facilitates the creation, management, and interaction with databases. It provides an interface for users and applications to interact with the database, ensuring data integrity, security, and efficient data retrieval. Popular relational database management systems include Oracle Database, MySQL, Microsoft SQL Server, and PostgreSQL.
In summary, SQL is the language used to communicate with databases, PL/SQL extends SQL by adding procedural programming capabilities, and a DBMS is the overarching software that manage database
Database management system INTRODUCTION.pptYashShirude1
This chapter introduces database systems and their components. It discusses the purpose of database systems in overcoming the limitations of file-based data storage. Key topics covered include data models, languages for data definition and manipulation, database design methodologies, storage and query processing, and transaction management. The chapter also provides a brief history of database management systems.
This document discusses distributed databases. It begins by introducing distributed database systems and their structure. Key points include that the database is split across multiple computers that communicate over a network. It then discusses the tradeoffs of distributing a database, such as increased availability but also higher complexity. The document outlines two approaches to distributing data - replication, where copies of data are stored at different sites, and fragmentation, where relations are split into pieces stored at different sites. It provides examples to illustrate these concepts.
This document discusses database system architectures and distributed database systems. It covers transaction server systems, distributed database definitions, promises of distributed databases, complications introduced, and design issues. It also provides examples of horizontal and vertical data fragmentation and discusses parallel database architectures, components, and data partitioning techniques.
This document provides an overview of key concepts in database systems, including:
1) A database management system (DBMS) allows storage and retrieval of data in an organized manner and provides tools for managing the database.
2) Database concepts include data models, schemas, instances, data definition and manipulation languages, transactions, storage management, database administrators, and users.
3) The document describes common data models like relational and entity-relationship, and components of a DBMS like the query language SQL.
This document discusses key concepts regarding distributed databases from the textbook Database System Concepts 7th edition. It defines distributed databases as databases where data is spread across multiple machines connected by a network. It differentiates between homogeneous and heterogeneous distributed databases. It also describes issues like ensuring atomicity and availability in distributed databases.
The document discusses distributed database systems, including homogeneous and heterogeneous distributed databases, distributed data storage using replication and fragmentation, distributed transactions, commit protocols like two-phase commit, and handling failures in distributed systems. Key topics covered are replication allowing high availability but increasing complexity, fragmentation allowing parallelism but requiring joins, and two-phase commit coordinating atomic commits across multiple sites through a prepare and commit phase.
The document discusses different types of database system architectures, including centralized systems, client-server systems, parallel systems, and distributed systems. It provides details on centralized systems, which run on a single computer, and client-server systems, where client systems generate requests that are satisfied by server systems. Transaction servers and data servers are described as two types of client-server systems. The document also covers parallel database systems that consist of multiple processors and disks connected by an interconnection network, and discusses concepts of speedup and scaleup in parallel systems.
The document discusses different types of database system architectures, including centralized systems, client-server systems, parallel systems, and distributed systems. It provides details on centralized systems, which run on a single computer, and client-server systems, where client systems generate requests that are satisfied by server systems. Transaction servers and data servers are described as two types of client-server systems. The document also covers parallel database systems that consist of multiple processors and disks, and factors that can limit speedup and scaleup in parallel systems.
This document discusses distributed databases and distributed database management systems (DDBMS). It defines a distributed database as a logically interrelated collection of shared data physically distributed over a computer network. A DDBMS is software that manages the distributed database and makes the distribution transparent to users. The document outlines key concepts of distributed databases including data fragmentation, allocation, and replication across multiple database sites connected by a network. It also discusses reference architectures, components, design considerations, and types of transparency provided by DDBMS.
This document discusses different database system architectures including centralized, client-server, parallel, and distributed systems. Centralized systems run on a single computer while client-server systems divide functionality between client and server systems. Parallel systems utilize multiple processors and disks to improve performance. Distributed systems spread data across multiple machines that are connected through a network. Key aspects covered include transaction processing, data distribution, concurrency control, and atomicity in distributed systems.
The document provides an overview of database systems and concepts. It discusses how database management systems (DBMS) help organize and manage data in an efficient manner. A DBMS contains information about an enterprise, provides a set of programs to access the data, and creates an environment that is convenient and efficient to use. It also describes some common database applications, levels of abstraction in a database, data models, database design approaches, and the key components of a database management system like storage management, query processing, and transaction management.
This document provides an introduction to distributed databases. It defines a distributed database as a collection of logically related databases distributed over a computer network. It describes distributed computing and how distributed databases partition data across multiple computers. The document outlines different types of distributed database systems including homogeneous and heterogeneous. It also discusses distributed data storage techniques like replication, fragmentation, and allocation. Finally, it lists several advantages and objectives of distributed databases as well as some disadvantages.
This document discusses different database system architectures including centralized systems, client-server systems, parallel systems, and distributed systems. It provides details on the components and functionality of centralized, client-server, and transaction server architectures. It also describes data servers, addressing issues like page shipping versus item shipping, locking, data caching, and lock caching in data server systems. The document concludes with explanations of speedup and scaleup in parallel database systems.
The document summarizes key concepts in distributed database systems including:
1) Distributed database architectures have external, conceptual, and internal views of data. Common architectures include client-server and peer-to-peer.
2) Distributed databases can be designed top-down using a global schema or bottom-up without a global schema.
3) Fragmentation and allocation distribute data across sites for performance and availability. Correct fragmentation follows completeness, reconstruction, and disjointness rules.
Chapter-6 Distribute Database system (3).pptlatigudata
A distributed database management system (DDBMS) governs logically related data distributed across interconnected computer systems. A DDBMS manages a distributed database while making the distribution transparent to users. Distributed databases provide advantages like improved performance through storing data closer to where it is needed, easier expansion, and increased reliability through redundancy. However, distributed databases also introduce challenges around increased complexity, lack of standards, and security concerns.
The document provides an overview of database systems and concepts. It defines a database as a collection of interrelated data and a set of programs to access the data. Databases are used to manage large, valuable collections of data that are accessed by multiple users simultaneously. The document outlines the components and architecture of database systems, including the storage manager, query processor, transaction manager, and database engine. It also discusses data models, languages, and applications of database systems.
Comparative analysis between traditional aquaponics and reconstructed aquapon...bijceesjournal
The aquaponic system of planting is a method that does not require soil usage. It is a method that only needs water, fish, lava rocks (a substitute for soil), and plants. Aquaponic systems are sustainable and environmentally friendly. Its use not only helps to plant in small spaces but also helps reduce artificial chemical use and minimizes excess water use, as aquaponics consumes 90% less water than soil-based gardening. The study applied a descriptive and experimental design to assess and compare conventional and reconstructed aquaponic methods for reproducing tomatoes. The researchers created an observation checklist to determine the significant factors of the study. The study aims to determine the significant difference between traditional aquaponics and reconstructed aquaponics systems propagating tomatoes in terms of height, weight, girth, and number of fruits. The reconstructed aquaponics system’s higher growth yield results in a much more nourished crop than the traditional aquaponics system. It is superior in its number of fruits, height, weight, and girth measurement. Moreover, the reconstructed aquaponics system is proven to eliminate all the hindrances present in the traditional aquaponics system, which are overcrowding of fish, algae growth, pest problems, contaminated water, and dead fish.
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.
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.
artificial intelligence and data science contents.pptxGauravCar
What is artificial intelligence? Artificial intelligence is the ability of a computer or computer-controlled robot to perform tasks that are commonly associated with the intellectual processes characteristic of humans, such as the ability to reason.
› ...
Artificial intelligence (AI) | Definitio
CHINA’S GEO-ECONOMIC OUTREACH IN CENTRAL ASIAN COUNTRIES AND FUTURE PROSPECTjpsjournal1
The rivalry between prominent international actors for dominance over Central Asia's hydrocarbon
reserves and the ancient silk trade route, along with China's diplomatic endeavours in the area, has been
referred to as the "New Great Game." This research centres on the power struggle, considering
geopolitical, geostrategic, and geoeconomic variables. Topics including trade, political hegemony, oil
politics, and conventional and nontraditional security are all explored and explained by the researcher.
Using Mackinder's Heartland, Spykman Rimland, and Hegemonic Stability theories, examines China's role
in Central Asia. This study adheres to the empirical epistemological method and has taken care of
objectivity. This study analyze primary and secondary research documents critically to elaborate role of
china’s geo economic outreach in central Asian countries and its future prospect. China is thriving in trade,
pipeline politics, and winning states, according to this study, thanks to important instruments like the
Shanghai Cooperation Organisation and the Belt and Road Economic Initiative. According to this study,
China is seeing significant success in commerce, pipeline politics, and gaining influence on other
governments. This success may be attributed to the effective utilisation of key tools such as the Shanghai
Cooperation Organisation and the Belt and Road Economic Initiative.
Use PyCharm for remote debugging of WSL on a Windo cf5c162d672e4e58b4dde5d797...shadow0702a
This document serves as a comprehensive step-by-step guide on how to effectively use PyCharm for remote debugging of the Windows Subsystem for Linux (WSL) on a local Windows machine. It meticulously outlines several critical steps in the process, starting with the crucial task of enabling permissions, followed by the installation and configuration of WSL.
The guide then proceeds to explain how to set up the SSH service within the WSL environment, an integral part of the process. Alongside this, it also provides detailed instructions on how to modify the inbound rules of the Windows firewall to facilitate the process, ensuring that there are no connectivity issues that could potentially hinder the debugging process.
The document further emphasizes on the importance of checking the connection between the Windows and WSL environments, providing instructions on how to ensure that the connection is optimal and ready for remote debugging.
It also offers an in-depth guide on how to configure the WSL interpreter and files within the PyCharm environment. This is essential for ensuring that the debugging process is set up correctly and that the program can be run effectively within the WSL terminal.
Additionally, the document provides guidance on how to set up breakpoints for debugging, a fundamental aspect of the debugging process which allows the developer to stop the execution of their code at certain points and inspect their program at those stages.
Finally, the document concludes by providing a link to a reference blog. This blog offers additional information and guidance on configuring the remote Python interpreter in PyCharm, providing the reader with a well-rounded understanding of the process.
Batteries -Introduction – Types of Batteries – discharging and charging of battery - characteristics of battery –battery rating- various tests on battery- – Primary battery: silver button cell- Secondary battery :Ni-Cd battery-modern battery: lithium ion battery-maintenance of batteries-choices of batteries for electric vehicle applications.
Fuel Cells: Introduction- importance and classification of fuel cells - description, principle, components, applications of fuel cells: H2-O2 fuel cell, alkaline fuel cell, molten carbonate fuel cell and direct methanol fuel cells.
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.
Software Engineering and Project Management - Introduction, Modeling Concepts...Prakhyath Rai
Introduction, Modeling Concepts and Class Modeling: What is Object orientation? What is OO development? OO Themes; Evidence for usefulness of OO development; OO modeling history. Modeling
as Design technique: Modeling, abstraction, The Three models. Class Modeling: Object and Class Concept, Link and associations concepts, Generalization and Inheritance, A sample class model, Navigation of class models, and UML diagrams
Building the Analysis Models: Requirement Analysis, Analysis Model Approaches, Data modeling Concepts, Object Oriented Analysis, Scenario-Based Modeling, Flow-Oriented Modeling, class Based Modeling, Creating a Behavioral Model.