China está invirtiendo $300 mil millones en su plan "Hecho en China 2025" para dominar industrias estratégicas de alta tecnología como inteligencia artificial, comunicaciones 5G, aeronáutica y robótica. Esto representa un cambio en la economía mundial donde empresas estadounidenses y europeas dominan estas industrias. China busca apropiarse de tecnología extranjera a través de compras de empresas y subsidios para desarrollar su propia industria de alta tecnología.
La potestad tributaria es la facultad del Estado para crear tributos con el fin de recaudar recursos para el gasto público. Esta potestad es originaria cuando emana de la naturaleza y esencia del Estado o de la Constitución, y es derivada o delegada cuando se otorga a entes como los municipios. La potestad tributaria tiene características como ser abstracta, permanente, irrenunciable e indeleble. Está limitada por principios como legalidad, capacidad contributiva, igualdad y no confiscatoriedad.
Este documento describe los principales sitios turísticos y atracciones en Bogotá, Colombia. Menciona lugares populares como el Planetario, la Plaza de Toros, la Plaza de Bolívar y varios museos. También destaca el Cerro de Monserrate, que ofrece vistas panorámicas de los cerros orientales. El objetivo es crear un sitio web que proporcione información completa sobre la historia y cultura de cada lugar turístico de Bogotá.
Power of the Log: LSM & Append Only Data Structuresconfluent
LSM trees provide an efficient way to structure databases by organizing data sequentially in logs. They optimize for write performance by batching writes together sequentially on disk. To optimize reads, data is organized into levels and bloom filters and caching are used to avoid searching every file. This log-structured approach works well for many systems by aligning with how hardware is optimized for sequential access. The immutability of appended data also simplifies concurrency. This log-centric approach can be applied beyond databases to distributed systems as well.
Este documento resume las principales teorías y pensadores involucrados en el desarrollo de la teoría de la evolución, incluyendo las clasificaciones iniciales de Aristóteles y Linneo, el catastrofismo de Cuvier, y las primeras ideas evolutivas de Lamarck sobre la herencia de características adquiridas y la adaptación a través del uso y desuso de órganos.
China está invirtiendo $300 mil millones en su plan "Hecho en China 2025" para dominar industrias estratégicas de alta tecnología como inteligencia artificial, comunicaciones 5G, aeronáutica y robótica. Esto representa un cambio en la economía mundial donde empresas estadounidenses y europeas dominan estas industrias. China busca apropiarse de tecnología extranjera a través de compras de empresas y subsidios para desarrollar su propia industria de alta tecnología.
La potestad tributaria es la facultad del Estado para crear tributos con el fin de recaudar recursos para el gasto público. Esta potestad es originaria cuando emana de la naturaleza y esencia del Estado o de la Constitución, y es derivada o delegada cuando se otorga a entes como los municipios. La potestad tributaria tiene características como ser abstracta, permanente, irrenunciable e indeleble. Está limitada por principios como legalidad, capacidad contributiva, igualdad y no confiscatoriedad.
Este documento describe los principales sitios turísticos y atracciones en Bogotá, Colombia. Menciona lugares populares como el Planetario, la Plaza de Toros, la Plaza de Bolívar y varios museos. También destaca el Cerro de Monserrate, que ofrece vistas panorámicas de los cerros orientales. El objetivo es crear un sitio web que proporcione información completa sobre la historia y cultura de cada lugar turístico de Bogotá.
Power of the Log: LSM & Append Only Data Structuresconfluent
LSM trees provide an efficient way to structure databases by organizing data sequentially in logs. They optimize for write performance by batching writes together sequentially on disk. To optimize reads, data is organized into levels and bloom filters and caching are used to avoid searching every file. This log-structured approach works well for many systems by aligning with how hardware is optimized for sequential access. The immutability of appended data also simplifies concurrency. This log-centric approach can be applied beyond databases to distributed systems as well.
Este documento resume las principales teorías y pensadores involucrados en el desarrollo de la teoría de la evolución, incluyendo las clasificaciones iniciales de Aristóteles y Linneo, el catastrofismo de Cuvier, y las primeras ideas evolutivas de Lamarck sobre la herencia de características adquiridas y la adaptación a través del uso y desuso de órganos.
Este documento resume la situación actual de las canaimas y el nivel de alfabetización tecnológica de los estudiantes y maestros en la Unidad Educativa Nacional "Zea". Se detectó que algunas canaimas necesitan reparaciones del hardware y restauración del software. Los estudiantes requieren enseñanza sobre el uso adecuado de las canaimas y el software. El proyecto busca alfabetizar tecnológicamente a los estudiantes del 4to grado sobre el cuidado y uso de las canaimas.
It is wise to settle on Associate in Nursing SEO company that operates in line with a well outlined strategy developed in accordance with the particular desires and objectives of your business.
This document provides information about purchasing a 3Com 5064-7429 I PCI 10/100 LAN network card from Launch 3 Telecom. It describes how to purchase the product through their website or by phone, as well as their payment and shipping policies. The document also provides details on the warranty and additional services offered by Launch 3 Telecom such as repairs, maintenance contracts, and equipment deinstallation.
El documento define las víctimas según la ley como personas que han sufrido daños físicos o psicológicos, pérdidas financieras o menoscabo de derechos fundamentales como consecuencia de acciones u omisiones que violen la legislación penal. También incluye a familiares y personas a cargo de la víctima directa. Explica que los sujetos procesales según la ley son los tribunales, el Ministerio Público, la policía, la víctima y el imputado. Finalmente, resume algunas de las medidas de prote
La Unión Europea ha acordado un embargo petrolero contra Rusia en respuesta a la invasión de Ucrania. El embargo prohibirá las importaciones marítimas de petróleo ruso a la UE y pondrá fin a las entregas a través de oleoductos dentro de seis meses. Esta medida forma parte de un sexto paquete de sanciones de la UE destinadas a aumentar la presión económica sobre Moscú y privar al Kremlin de fondos para financiar su guerra.
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.
Redefining brain tumor segmentation: a cutting-edge convolutional neural netw...IJECEIAES
Medical image analysis has witnessed significant advancements with deep learning techniques. In the domain of brain tumor segmentation, the ability to
precisely delineate tumor boundaries from magnetic resonance imaging (MRI)
scans holds profound implications for diagnosis. This study presents an ensemble convolutional neural network (CNN) with transfer learning, integrating
the state-of-the-art Deeplabv3+ architecture with the ResNet18 backbone. The
model is rigorously trained and evaluated, exhibiting remarkable performance
metrics, including an impressive global accuracy of 99.286%, a high-class accuracy of 82.191%, a mean intersection over union (IoU) of 79.900%, a weighted
IoU of 98.620%, and a Boundary F1 (BF) score of 83.303%. Notably, a detailed comparative analysis with existing methods showcases the superiority of
our proposed model. These findings underscore the model’s competence in precise brain tumor localization, underscoring its potential to revolutionize medical
image analysis and enhance healthcare outcomes. This research paves the way
for future exploration and optimization of advanced CNN models in medical
imaging, emphasizing addressing false positives and resource efficiency.
Optimizing Gradle Builds - Gradle DPE Tour Berlin 2024Sinan KOZAK
Sinan from the Delivery Hero mobile infrastructure engineering team shares a deep dive into performance acceleration with Gradle build cache optimizations. Sinan shares their journey into solving complex build-cache problems that affect Gradle builds. By understanding the challenges and solutions found in our journey, we aim to demonstrate the possibilities for faster builds. The case study reveals how overlapping outputs and cache misconfigurations led to significant increases in build times, especially as the project scaled up with numerous modules using Paparazzi tests. The journey from diagnosing to defeating cache issues offers invaluable lessons on maintaining cache integrity without sacrificing functionality.
VARIABLE FREQUENCY DRIVE. VFDs are widely used in industrial applications for...PIMR BHOPAL
Variable frequency drive .A Variable Frequency Drive (VFD) is an electronic device used to control the speed and torque of an electric motor by varying the frequency and voltage of its power supply. VFDs are widely used in industrial applications for motor control, providing significant energy savings and precise motor operation.
Applications of artificial Intelligence in Mechanical Engineering.pdfAtif Razi
Historically, mechanical engineering has relied heavily on human expertise and empirical methods to solve complex problems. With the introduction of computer-aided design (CAD) and finite element analysis (FEA), the field took its first steps towards digitization. These tools allowed engineers to simulate and analyze mechanical systems with greater accuracy and efficiency. However, the sheer volume of data generated by modern engineering systems and the increasing complexity of these systems have necessitated more advanced analytical tools, paving the way for AI.
AI offers the capability to process vast amounts of data, identify patterns, and make predictions with a level of speed and accuracy unattainable by traditional methods. This has profound implications for mechanical engineering, enabling more efficient design processes, predictive maintenance strategies, and optimized manufacturing operations. AI-driven tools can learn from historical data, adapt to new information, and continuously improve their performance, making them invaluable in tackling the multifaceted challenges of modern mechanical engineering.
Este documento resume la situación actual de las canaimas y el nivel de alfabetización tecnológica de los estudiantes y maestros en la Unidad Educativa Nacional "Zea". Se detectó que algunas canaimas necesitan reparaciones del hardware y restauración del software. Los estudiantes requieren enseñanza sobre el uso adecuado de las canaimas y el software. El proyecto busca alfabetizar tecnológicamente a los estudiantes del 4to grado sobre el cuidado y uso de las canaimas.
It is wise to settle on Associate in Nursing SEO company that operates in line with a well outlined strategy developed in accordance with the particular desires and objectives of your business.
This document provides information about purchasing a 3Com 5064-7429 I PCI 10/100 LAN network card from Launch 3 Telecom. It describes how to purchase the product through their website or by phone, as well as their payment and shipping policies. The document also provides details on the warranty and additional services offered by Launch 3 Telecom such as repairs, maintenance contracts, and equipment deinstallation.
El documento define las víctimas según la ley como personas que han sufrido daños físicos o psicológicos, pérdidas financieras o menoscabo de derechos fundamentales como consecuencia de acciones u omisiones que violen la legislación penal. También incluye a familiares y personas a cargo de la víctima directa. Explica que los sujetos procesales según la ley son los tribunales, el Ministerio Público, la policía, la víctima y el imputado. Finalmente, resume algunas de las medidas de prote
La Unión Europea ha acordado un embargo petrolero contra Rusia en respuesta a la invasión de Ucrania. El embargo prohibirá las importaciones marítimas de petróleo ruso a la UE y pondrá fin a las entregas a través de oleoductos dentro de seis meses. Esta medida forma parte de un sexto paquete de sanciones de la UE destinadas a aumentar la presión económica sobre Moscú y privar al Kremlin de fondos para financiar su guerra.
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.
Redefining brain tumor segmentation: a cutting-edge convolutional neural netw...IJECEIAES
Medical image analysis has witnessed significant advancements with deep learning techniques. In the domain of brain tumor segmentation, the ability to
precisely delineate tumor boundaries from magnetic resonance imaging (MRI)
scans holds profound implications for diagnosis. This study presents an ensemble convolutional neural network (CNN) with transfer learning, integrating
the state-of-the-art Deeplabv3+ architecture with the ResNet18 backbone. The
model is rigorously trained and evaluated, exhibiting remarkable performance
metrics, including an impressive global accuracy of 99.286%, a high-class accuracy of 82.191%, a mean intersection over union (IoU) of 79.900%, a weighted
IoU of 98.620%, and a Boundary F1 (BF) score of 83.303%. Notably, a detailed comparative analysis with existing methods showcases the superiority of
our proposed model. These findings underscore the model’s competence in precise brain tumor localization, underscoring its potential to revolutionize medical
image analysis and enhance healthcare outcomes. This research paves the way
for future exploration and optimization of advanced CNN models in medical
imaging, emphasizing addressing false positives and resource efficiency.
Optimizing Gradle Builds - Gradle DPE Tour Berlin 2024Sinan KOZAK
Sinan from the Delivery Hero mobile infrastructure engineering team shares a deep dive into performance acceleration with Gradle build cache optimizations. Sinan shares their journey into solving complex build-cache problems that affect Gradle builds. By understanding the challenges and solutions found in our journey, we aim to demonstrate the possibilities for faster builds. The case study reveals how overlapping outputs and cache misconfigurations led to significant increases in build times, especially as the project scaled up with numerous modules using Paparazzi tests. The journey from diagnosing to defeating cache issues offers invaluable lessons on maintaining cache integrity without sacrificing functionality.
VARIABLE FREQUENCY DRIVE. VFDs are widely used in industrial applications for...PIMR BHOPAL
Variable frequency drive .A Variable Frequency Drive (VFD) is an electronic device used to control the speed and torque of an electric motor by varying the frequency and voltage of its power supply. VFDs are widely used in industrial applications for motor control, providing significant energy savings and precise motor operation.
Applications of artificial Intelligence in Mechanical Engineering.pdfAtif Razi
Historically, mechanical engineering has relied heavily on human expertise and empirical methods to solve complex problems. With the introduction of computer-aided design (CAD) and finite element analysis (FEA), the field took its first steps towards digitization. These tools allowed engineers to simulate and analyze mechanical systems with greater accuracy and efficiency. However, the sheer volume of data generated by modern engineering systems and the increasing complexity of these systems have necessitated more advanced analytical tools, paving the way for AI.
AI offers the capability to process vast amounts of data, identify patterns, and make predictions with a level of speed and accuracy unattainable by traditional methods. This has profound implications for mechanical engineering, enabling more efficient design processes, predictive maintenance strategies, and optimized manufacturing operations. AI-driven tools can learn from historical data, adapt to new information, and continuously improve their performance, making them invaluable in tackling the multifaceted challenges of modern mechanical engineering.
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.
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.
Design and optimization of ion propulsion dronebjmsejournal
Electric propulsion technology is widely used in many kinds of vehicles in recent years, and aircrafts are no exception. Technically, UAVs are electrically propelled but tend to produce a significant amount of noise and vibrations. Ion propulsion technology for drones is a potential solution to this problem. Ion propulsion technology is proven to be feasible in the earth’s atmosphere. The study presented in this article shows the design of EHD thrusters and power supply for ion propulsion drones along with performance optimization of high-voltage power supply for endurance in earth’s atmosphere.
Prediction of Electrical Energy Efficiency Using Information on Consumer's Ac...PriyankaKilaniya
Energy efficiency has been important since the latter part of the last century. The main object of this survey is to determine the energy efficiency knowledge among consumers. Two separate districts in Bangladesh are selected to conduct the survey on households and showrooms about the energy and seller also. The survey uses the data to find some regression equations from which it is easy to predict energy efficiency knowledge. The data is analyzed and calculated based on five important criteria. The initial target was to find some factors that help predict a person's energy efficiency knowledge. From the survey, it is found that the energy efficiency awareness among the people of our country is very low. Relationships between household energy use behaviors are estimated using a unique dataset of about 40 households and 20 showrooms in Bangladesh's Chapainawabganj and Bagerhat districts. Knowledge of energy consumption and energy efficiency technology options is found to be associated with household use of energy conservation practices. Household characteristics also influence household energy use behavior. Younger household cohorts are more likely to adopt energy-efficient technologies and energy conservation practices and place primary importance on energy saving for environmental reasons. Education also influences attitudes toward energy conservation in Bangladesh. Low-education households indicate they primarily save electricity for the environment while high-education households indicate they are motivated by environmental concerns.