This document provides a timeline of important events in Indian history from 7500 BC to 1877 AD. Some key events include the Indus Valley Civilization from 2500-1500 BC, the life of Gautama Buddha and Mahavira in the 6th century BC, the rise of the Mauryan Empire under Chandragupta Maurya in the 4th century BC, the reign of Ashoka in the 3rd century BC, the arrival of Europeans like Vasco da Gama in the 15th century, the establishment of the Mughal Empire by Babur in 1526, and the British East India Company gaining control of parts of India in the late 18th century.
PRODUCTION OF METALLIC SINGLE CRYSTALS AND DS OF SUPER ALLOYS.docxsudhakargeruganti
The document discusses a new product launch for a company. It outlines key details of the product, including its features and target market. It also provides a timeline for rolling out marketing and shipping the first units to customers over the next few months.
Pole figures and ODFs are graphical and mathematical tools used to determine the preferred orientation of crystals in materials. Pole figures show the density of crystal planes perpendicular to a given direction, while ODFs describe the probability of finding crystals in particular orientations. Both tools are analyzed to identify peaks indicating preferred orientations that provide information about a material's texture and anisotropy.
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive function. Exercise causes chemical changes in the brain that may help protect against mental illness and improve symptoms.
PRECIPITATION HARDENING IN Al-CU, Al-Mg-SI,Cu-Be.pptxsudhakargeruganti
Precipitation hardening plays a critical role in strengthening high-strength aluminum alloys. It involves three steps: (1) solution heat treating to dissolve alloying elements into the aluminum, (2) quenching to trap the alloying elements, and (3) aging where the elements precipitate out as fine particles that impede dislocation movement and strengthen the alloy. The document then discusses precipitation hardening specifically in an aluminum-copper alloy, noting it is aged at 340F for 10 hours to precipitate out fine aluminum-copper particles and dramatically increase its strength and hardness.
This document provides a timeline of important events in Indian history from 7500 BC to 1877 AD. Some key events include the Indus Valley Civilization from 2500-1500 BC, the life of Gautama Buddha and Mahavira in the 6th century BC, the rise of the Mauryan Empire under Chandragupta Maurya in the 4th century BC, the reign of Ashoka in the 3rd century BC, the arrival of Europeans like Vasco da Gama in the 15th century, the establishment of the Mughal Empire by Babur in 1526, and the British East India Company gaining control of parts of India in the late 18th century.
PRODUCTION OF METALLIC SINGLE CRYSTALS AND DS OF SUPER ALLOYS.docxsudhakargeruganti
The document discusses a new product launch for a company. It outlines key details of the product, including its features and target market. It also provides a timeline for rolling out marketing and shipping the first units to customers over the next few months.
Pole figures and ODFs are graphical and mathematical tools used to determine the preferred orientation of crystals in materials. Pole figures show the density of crystal planes perpendicular to a given direction, while ODFs describe the probability of finding crystals in particular orientations. Both tools are analyzed to identify peaks indicating preferred orientations that provide information about a material's texture and anisotropy.
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive function. Exercise causes chemical changes in the brain that may help protect against mental illness and improve symptoms.
PRECIPITATION HARDENING IN Al-CU, Al-Mg-SI,Cu-Be.pptxsudhakargeruganti
Precipitation hardening plays a critical role in strengthening high-strength aluminum alloys. It involves three steps: (1) solution heat treating to dissolve alloying elements into the aluminum, (2) quenching to trap the alloying elements, and (3) aging where the elements precipitate out as fine particles that impede dislocation movement and strengthen the alloy. The document then discusses precipitation hardening specifically in an aluminum-copper alloy, noting it is aged at 340F for 10 hours to precipitate out fine aluminum-copper particles and dramatically increase its strength and hardness.
A SYSTEMATIC RISK ASSESSMENT APPROACH FOR SECURING THE SMART IRRIGATION SYSTEMSIJNSA Journal
The smart irrigation system represents an innovative approach to optimize water usage in agricultural and landscaping practices. The integration of cutting-edge technologies, including sensors, actuators, and data analysis, empowers this system to provide accurate monitoring and control of irrigation processes by leveraging real-time environmental conditions. The main objective of a smart irrigation system is to optimize water efficiency, minimize expenses, and foster the adoption of sustainable water management methods. This paper conducts a systematic risk assessment by exploring the key components/assets and their functionalities in the smart irrigation system. The crucial role of sensors in gathering data on soil moisture, weather patterns, and plant well-being is emphasized in this system. These sensors enable intelligent decision-making in irrigation scheduling and water distribution, leading to enhanced water efficiency and sustainable water management practices. Actuators enable automated control of irrigation devices, ensuring precise and targeted water delivery to plants. Additionally, the paper addresses the potential threat and vulnerabilities associated with smart irrigation systems. It discusses limitations of the system, such as power constraints and computational capabilities, and calculates the potential security risks. The paper suggests possible risk treatment methods for effective secure system operation. In conclusion, the paper emphasizes the significant benefits of implementing smart irrigation systems, including improved water conservation, increased crop yield, and reduced environmental impact. Additionally, based on the security analysis conducted, the paper recommends the implementation of countermeasures and security approaches to address vulnerabilities and ensure the integrity and reliability of the system. By incorporating these measures, smart irrigation technology can revolutionize water management practices in agriculture, promoting sustainability, resource efficiency, and safeguarding against potential security threats.
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%.
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.
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.
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.
Presentation of IEEE Slovenia CIS (Computational Intelligence Society) Chapte...University of Maribor
Slides from talk presenting:
Aleš Zamuda: Presentation of IEEE Slovenia CIS (Computational Intelligence Society) Chapter and Networking.
Presentation at IcETRAN 2024 session:
"Inter-Society Networking Panel GRSS/MTT-S/CIS
Panel Session: Promoting Connection and Cooperation"
IEEE Slovenia GRSS
IEEE Serbia and Montenegro MTT-S
IEEE Slovenia CIS
11TH INTERNATIONAL CONFERENCE ON ELECTRICAL, ELECTRONIC AND COMPUTING ENGINEERING
3-6 June 2024, Niš, Serbia
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.
