Alpha-G Gurgaon One is a premium residential project located in Sector 84 Gurgaon launched by Alpha G Corp, a major real estate developer. The project will consist of seven high-rise towers surrounded by over 6 acres of landscaped greens. Apartments range from 1-4 bedrooms and will have amenities such as a central park, sports facilities, and basement parking. The project is located near Dwarka Expressway and the upcoming metro station.
El documento habla sobre diferentes tipos de dinero electrónico como tarjetas de crédito y débito, así como sobre publicidad en internet a través de banners, email marketing y avisos destacados. También menciona malware como PC Zombie, ransomware, spam, phishing y scams, explicando brevemente qué son PC Zombie, ransomware y spam. El documento termina con los datos de identificación de su autor.
This document introduces the author's family members. It states that the author's mother is named Teodora Malla, father is named Gustavo Rivera, sister is named Jenny Rivera, younger brother is named Jonny Rivera, and younger sister is named Mishell Rivera. It provides the names of several cousins and their families as well.
Este documento discute la necesidad de formar a los profesores para que se desempeñen efectivamente como docentes en entornos virtuales de aprendizaje. Señala que la sociedad ha cambiado rápidamente debido a la tecnología, mientras que la educación tradicional se ha mantenido estancada. Los profesores deben capacitarse para diseñar entornos de aprendizaje complejos que fomenten la colaboración entre los estudiantes. La formación de profesores debe enseñarles a utilizar herramientas digitales
This document appears to contain names and abbreviations but provides little context or meaning on its own. It includes two names "Tchurz Agnieszka" and an abbreviation "IIIT" as well as another abbreviation "Utk/Ob" but no other details are given.
Este documento describe varias funciones comúnmente usadas en Excel, incluyendo SUM, AHORA, ALEATORIO, AÑO, CONTAR, BUSCARV, MIN, MAX, PROMEDIO y SI. Explica lo que cada función hace, su sintaxis y cómo usarla para realizar cálculos y análisis de datos.
Alpha-G Gurgaon One is a premium residential project located in Sector 84 Gurgaon launched by Alpha G Corp, a major real estate developer. The project will consist of seven high-rise towers surrounded by over 6 acres of landscaped greens. Apartments range from 1-4 bedrooms and will have amenities such as a central park, sports facilities, and basement parking. The project is located near Dwarka Expressway and the upcoming metro station.
El documento habla sobre diferentes tipos de dinero electrónico como tarjetas de crédito y débito, así como sobre publicidad en internet a través de banners, email marketing y avisos destacados. También menciona malware como PC Zombie, ransomware, spam, phishing y scams, explicando brevemente qué son PC Zombie, ransomware y spam. El documento termina con los datos de identificación de su autor.
This document introduces the author's family members. It states that the author's mother is named Teodora Malla, father is named Gustavo Rivera, sister is named Jenny Rivera, younger brother is named Jonny Rivera, and younger sister is named Mishell Rivera. It provides the names of several cousins and their families as well.
Este documento discute la necesidad de formar a los profesores para que se desempeñen efectivamente como docentes en entornos virtuales de aprendizaje. Señala que la sociedad ha cambiado rápidamente debido a la tecnología, mientras que la educación tradicional se ha mantenido estancada. Los profesores deben capacitarse para diseñar entornos de aprendizaje complejos que fomenten la colaboración entre los estudiantes. La formación de profesores debe enseñarles a utilizar herramientas digitales
This document appears to contain names and abbreviations but provides little context or meaning on its own. It includes two names "Tchurz Agnieszka" and an abbreviation "IIIT" as well as another abbreviation "Utk/Ob" but no other details are given.
Este documento describe varias funciones comúnmente usadas en Excel, incluyendo SUM, AHORA, ALEATORIO, AÑO, CONTAR, BUSCARV, MIN, MAX, PROMEDIO y SI. Explica lo que cada función hace, su sintaxis y cómo usarla para realizar cálculos y análisis de datos.
Slip and fall accidents are a major safety issue, causing over 540,000 injuries requiring hospital care annually in North America. They are the second leading cause of accidental death and disability, behind only automobile accidents. In the workplace, slip and falls kill more workers than all other types of accidents combined, resulting in over 1,400 deaths each year. They also account for 30% of all reported injuries. In the home, slip and falls are especially dangerous for seniors, with one-third of serious bone breaks among those 65 and older leading to death within one year. The total annual cost of slip and fall injuries in North America exceeds $36 billion.
Turn a stairway into a billboard. with Adverstep stairway advertising. At the same time reduce accidents with the non slip stair treads.
Fits most existing stairs with fast image changeover and optional glow in the dark guidance.
Industrial walkway covers are available in various standard sizes and colors. They are made of fiberglass reinforced plastic (FRP) and embedded with fused alumina grit for traction. Different grit sizes are available for various industrial applications. Walkway covers can be cut on site and installed using screws, bolts, or mastic on surfaces like steel, wood, concrete, or grating. They are durable, chemical resistant, and meet international slip resistance standards.
Ladder rung covers are available in standard lengths and widths to fit over square or round ladder rungs. They are made of fiberglass composite material with embedded grit on the surface to provide traction. They are adhered to ladder rungs using adhesive and provide a safer standing surface than round rungs. The document provides specifications on available sizes, colors, grit grades, installation instructions, maintenance, slip resistance testing, and luminance data for glow-in-the-dark models.
Technical Data Sheet for Adverstep stairway advertising non slip stair treads. Includes dimensions, materials, installation and maintenance information.
Most accidents on stairs occur when descending due to overstepping or slipping. Overstepping happens when treads are indistinct and people misjudge the edge. Slipping is caused by lack of traction on the front of treads where wear is common. Properly fitted anti-slip stair nosing can prevent both issues by clearly defining tread edges and providing high-traction surfaces at the front of each tread where needed most. Other solutions like tape, paint, or flat plates are inadequate as they do not address the key areas.
A Technical Data Sheet covering our architectural anti slip stair tread nosings showing dimensions available and options such as glow strips for wayfinding.
Electric vehicle and photovoltaic advanced roles in enhancing the financial p...IJECEIAES
Climate change's impact on the planet forced the United Nations and governments to promote green energies and electric transportation. The deployments of photovoltaic (PV) and electric vehicle (EV) systems gained stronger momentum due to their numerous advantages over fossil fuel types. The advantages go beyond sustainability to reach financial support and stability. The work in this paper introduces the hybrid system between PV and EV to support industrial and commercial plants. This paper covers the theoretical framework of the proposed hybrid system including the required equation to complete the cost analysis when PV and EV are present. In addition, the proposed design diagram which sets the priorities and requirements of the system is presented. The proposed approach allows setup to advance their power stability, especially during power outages. The presented information supports researchers and plant owners to complete the necessary analysis while promoting the deployment of clean energy. The result of a case study that represents a dairy milk farmer supports the theoretical works and highlights its advanced benefits to existing plants. The short return on investment of the proposed approach supports the paper's novelty approach for the sustainable electrical system. In addition, the proposed system allows for an isolated power setup without the need for a transmission line which enhances the safety of the electrical network
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.
We have compiled the most important slides from each speaker's presentation. This year’s compilation, available for free, captures the key insights and contributions shared during the DfMAy 2024 conference.
A review on techniques and modelling methodologies used for checking electrom...nooriasukmaningtyas
The proper function of the integrated circuit (IC) in an inhibiting electromagnetic environment has always been a serious concern throughout the decades of revolution in the world of electronics, from disjunct devices to today’s integrated circuit technology, where billions of transistors are combined on a single chip. The automotive industry and smart vehicles in particular, are confronting design issues such as being prone to electromagnetic interference (EMI). Electronic control devices calculate incorrect outputs because of EMI and sensors give misleading values which can prove fatal in case of automotives. In this paper, the authors have non exhaustively tried to review research work concerned with the investigation of EMI in ICs and prediction of this EMI using various modelling methodologies and measurement setups.
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.
Understanding Inductive Bias in Machine LearningSUTEJAS
This presentation explores the concept of inductive bias in machine learning. It explains how algorithms come with built-in assumptions and preferences that guide the learning process. You'll learn about the different types of inductive bias and how they can impact the performance and generalizability of machine learning models.
The presentation also covers the positive and negative aspects of inductive bias, along with strategies for mitigating potential drawbacks. We'll explore examples of how bias manifests in algorithms like neural networks and decision trees.
By understanding inductive bias, you can gain valuable insights into how machine learning models work and make informed decisions when building and deploying them.
Harnessing WebAssembly for Real-time Stateless Streaming PipelinesChristina Lin
Traditionally, dealing with real-time data pipelines has involved significant overhead, even for straightforward tasks like data transformation or masking. However, in this talk, we’ll venture into the dynamic realm of WebAssembly (WASM) and discover how it can revolutionize the creation of stateless streaming pipelines within a Kafka (Redpanda) broker. These pipelines are adept at managing low-latency, high-data-volume scenarios.
Slip and fall accidents are a major safety issue, causing over 540,000 injuries requiring hospital care annually in North America. They are the second leading cause of accidental death and disability, behind only automobile accidents. In the workplace, slip and falls kill more workers than all other types of accidents combined, resulting in over 1,400 deaths each year. They also account for 30% of all reported injuries. In the home, slip and falls are especially dangerous for seniors, with one-third of serious bone breaks among those 65 and older leading to death within one year. The total annual cost of slip and fall injuries in North America exceeds $36 billion.
Turn a stairway into a billboard. with Adverstep stairway advertising. At the same time reduce accidents with the non slip stair treads.
Fits most existing stairs with fast image changeover and optional glow in the dark guidance.
Industrial walkway covers are available in various standard sizes and colors. They are made of fiberglass reinforced plastic (FRP) and embedded with fused alumina grit for traction. Different grit sizes are available for various industrial applications. Walkway covers can be cut on site and installed using screws, bolts, or mastic on surfaces like steel, wood, concrete, or grating. They are durable, chemical resistant, and meet international slip resistance standards.
Ladder rung covers are available in standard lengths and widths to fit over square or round ladder rungs. They are made of fiberglass composite material with embedded grit on the surface to provide traction. They are adhered to ladder rungs using adhesive and provide a safer standing surface than round rungs. The document provides specifications on available sizes, colors, grit grades, installation instructions, maintenance, slip resistance testing, and luminance data for glow-in-the-dark models.
Technical Data Sheet for Adverstep stairway advertising non slip stair treads. Includes dimensions, materials, installation and maintenance information.
Most accidents on stairs occur when descending due to overstepping or slipping. Overstepping happens when treads are indistinct and people misjudge the edge. Slipping is caused by lack of traction on the front of treads where wear is common. Properly fitted anti-slip stair nosing can prevent both issues by clearly defining tread edges and providing high-traction surfaces at the front of each tread where needed most. Other solutions like tape, paint, or flat plates are inadequate as they do not address the key areas.
A Technical Data Sheet covering our architectural anti slip stair tread nosings showing dimensions available and options such as glow strips for wayfinding.
Electric vehicle and photovoltaic advanced roles in enhancing the financial p...IJECEIAES
Climate change's impact on the planet forced the United Nations and governments to promote green energies and electric transportation. The deployments of photovoltaic (PV) and electric vehicle (EV) systems gained stronger momentum due to their numerous advantages over fossil fuel types. The advantages go beyond sustainability to reach financial support and stability. The work in this paper introduces the hybrid system between PV and EV to support industrial and commercial plants. This paper covers the theoretical framework of the proposed hybrid system including the required equation to complete the cost analysis when PV and EV are present. In addition, the proposed design diagram which sets the priorities and requirements of the system is presented. The proposed approach allows setup to advance their power stability, especially during power outages. The presented information supports researchers and plant owners to complete the necessary analysis while promoting the deployment of clean energy. The result of a case study that represents a dairy milk farmer supports the theoretical works and highlights its advanced benefits to existing plants. The short return on investment of the proposed approach supports the paper's novelty approach for the sustainable electrical system. In addition, the proposed system allows for an isolated power setup without the need for a transmission line which enhances the safety of the electrical network
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.
We have compiled the most important slides from each speaker's presentation. This year’s compilation, available for free, captures the key insights and contributions shared during the DfMAy 2024 conference.
A review on techniques and modelling methodologies used for checking electrom...nooriasukmaningtyas
The proper function of the integrated circuit (IC) in an inhibiting electromagnetic environment has always been a serious concern throughout the decades of revolution in the world of electronics, from disjunct devices to today’s integrated circuit technology, where billions of transistors are combined on a single chip. The automotive industry and smart vehicles in particular, are confronting design issues such as being prone to electromagnetic interference (EMI). Electronic control devices calculate incorrect outputs because of EMI and sensors give misleading values which can prove fatal in case of automotives. In this paper, the authors have non exhaustively tried to review research work concerned with the investigation of EMI in ICs and prediction of this EMI using various modelling methodologies and measurement setups.
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.
Understanding Inductive Bias in Machine LearningSUTEJAS
This presentation explores the concept of inductive bias in machine learning. It explains how algorithms come with built-in assumptions and preferences that guide the learning process. You'll learn about the different types of inductive bias and how they can impact the performance and generalizability of machine learning models.
The presentation also covers the positive and negative aspects of inductive bias, along with strategies for mitigating potential drawbacks. We'll explore examples of how bias manifests in algorithms like neural networks and decision trees.
By understanding inductive bias, you can gain valuable insights into how machine learning models work and make informed decisions when building and deploying them.
Harnessing WebAssembly for Real-time Stateless Streaming PipelinesChristina Lin
Traditionally, dealing with real-time data pipelines has involved significant overhead, even for straightforward tasks like data transformation or masking. However, in this talk, we’ll venture into the dynamic realm of WebAssembly (WASM) and discover how it can revolutionize the creation of stateless streaming pipelines within a Kafka (Redpanda) broker. These pipelines are adept at managing low-latency, high-data-volume scenarios.
KuberTENes Birthday Bash Guadalajara - K8sGPT first impressionsVictor Morales
K8sGPT is a tool that analyzes and diagnoses Kubernetes clusters. This presentation was used to share the requirements and dependencies to deploy K8sGPT in a local environment.
DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODELgerogepatton
As digital technology becomes more deeply embedded in power systems, protecting the communication
networks of Smart Grids (SG) has emerged as a critical concern. Distributed Network Protocol 3 (DNP3)
represents a multi-tiered application layer protocol extensively utilized in Supervisory Control and Data
Acquisition (SCADA)-based smart grids to facilitate real-time data gathering and control functionalities.
Robust Intrusion Detection Systems (IDS) are necessary for early threat detection and mitigation because
of the interconnection of these networks, which makes them vulnerable to a variety of cyberattacks. To
solve this issue, this paper develops a hybrid Deep Learning (DL) model specifically designed for intrusion
detection in smart grids. The proposed approach is a combination of the Convolutional Neural Network
(CNN) and the Long-Short-Term Memory algorithms (LSTM). We employed a recent intrusion detection
dataset (DNP3), which focuses on unauthorized commands and Denial of Service (DoS) cyberattacks, to
train and test our model. The results of our experiments show that our CNN-LSTM method is much better
at finding smart grid intrusions than other deep learning algorithms used for classification. In addition,
our proposed approach improves accuracy, precision, recall, and F1 score, achieving a high detection
accuracy rate of 99.50%.
6th International Conference on Machine Learning & Applications (CMLA 2024)ClaraZara1
6th International Conference on Machine Learning & Applications (CMLA 2024) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of on Machine Learning & Applications.