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All basic information about Microcontroller
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Saurav Pawar
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We have developed an application specific integrated circuit (ASIC) suitable for the readout of up to 64 silicon photomultipliers (SiPM). The ASIC can be used with SiPMs and scintillators for energy spectroscopy and timing of ionizing radiation. The ASIC provides important functionality for SiPMs: The preamplifier input potential can be programmed to set the bias voltage for the SiPMs connected to the input. The input dynamic range is relatively large (0 to 55 pC). The ASIC triggers, if any of the input signals exceeds a threshold. The trigger can be used to sample the signal amplitude and record the trigger time. The ASIC delivers both amplitude and time from all channels via an analog multiplexer. The ASIC has a programmable register which configures digital-to-analog converters for the preamplifier input potentials, the trigger thresholds, the internal bias setting and other functionality. Many ASICs can be combined for the readout of multiple arrays of SiPMs. The preamplifier input is designed for capacitive load of up to 300 pF and a dark current of up to 10 uA.
An ASIC for readout of SiPMs or MPPCs
An ASIC for readout of SiPMs or MPPCs
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preetham463
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ON THE DEVELOPMENT OF THE STRENGTH OF MATERIALS LABORATORY: A NON-EE/CS iLAB FOR STATIC BENDING TEST (final year project thesis - presented by ISHOLA Babatunde Isaac, February, 2011)
Strength of Materials iLab
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All basic information about Microcontroller
Microcontroller
Microcontroller
Saurav Pawar
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We have developed an application specific integrated circuit (ASIC) suitable for the readout of up to 64 silicon photomultipliers (SiPM). The ASIC can be used with SiPMs and scintillators for energy spectroscopy and timing of ionizing radiation. The ASIC provides important functionality for SiPMs: The preamplifier input potential can be programmed to set the bias voltage for the SiPMs connected to the input. The input dynamic range is relatively large (0 to 55 pC). The ASIC triggers, if any of the input signals exceeds a threshold. The trigger can be used to sample the signal amplitude and record the trigger time. The ASIC delivers both amplitude and time from all channels via an analog multiplexer. The ASIC has a programmable register which configures digital-to-analog converters for the preamplifier input potentials, the trigger thresholds, the internal bias setting and other functionality. Many ASICs can be combined for the readout of multiple arrays of SiPMs. The preamplifier input is designed for capacitive load of up to 300 pF and a dark current of up to 10 uA.
An ASIC for readout of SiPMs or MPPCs
An ASIC for readout of SiPMs or MPPCs
Gunnar Maehlum
Â
Projects and their Descriptions
Projects
Projects
preetham463
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Project Descriptions
Projects
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preetham463
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ON THE DEVELOPMENT OF THE STRENGTH OF MATERIALS LABORATORY: A NON-EE/CS iLAB FOR STATIC BENDING TEST (final year project thesis - presented by ISHOLA Babatunde Isaac, February, 2011)
Strength of Materials iLab
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Babatunde Ishola
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EnOcean Devices are energy harvesting devices ( based on sensors and actuators) which can be controlled by a personal computer.
Energy Harvesting devices Network Interface
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Piyush Chand
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Pemesanan produk, hubungi PT Siwali Swantika melalui WhatsApp, Jakarta : 0811-1519-949 (chat only) | Surabaya : 0811-1519-948 (chat only). Kunjungi website kami di www.siwali.com, untuk detail informasi spesifikasi dan model alat.
Data Teknis Gossen Metrawatt : PROTYP II
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This is the presentation I used to give a talk on Sun SPOTs at the Technical Seminar, RNSIT, Bangalore, INDIA. 28/02/2009
Sun Spot Talk
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This slide is from Microprocessor course, where I explained about Microcontroller specially ATMega32.
Overview of Microcontroller and ATMega32 microcontroller
Overview of Microcontroller and ATMega32 microcontroller
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Description about AVR ATmega32 ”controller.
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The rise of artificial intelligence (AI) has been making a huge impact on our daily lives, especially in the fields of recommendation systems, image recognition, natural language processing, and autonomous driving. As the amount of input data, weight parameters and intermediate data in the machine learning process grows exponentially, memory becomes a critical bottleneck, which requires a high density, low power and high speed non-volatile memory (NVM) solution. Among emerging NVM technologies, spin-transfer torque magnetoresistive random access memory (STT-MRAM) based on perpendicular magnetic tunnel junctions (pMTJ) shows distinct advantages: - High speed (comparable to DRAM and LLC), low standby power (vs eSRAM) and low active power deliver high tera operation per second (TOPS) per watt during the training and inference process. - Practically unlimited endurance allows large amount of data to be intensively processed. - High data retention allows weight parameters of neural network to be directly stored in NVM without extra power consumption (DRAM refreshing or SRAM leakage), especially for edge computing. - Excellent scalability to advanced technology nodes (beyond 7 nm) allows ASIC design with high density (vs eSRAM) for specific AI applications.
STT MRAM for Artificial Intelligence Applications
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This is the presentation I used to give a talk on Sun SPOTs at the Technical Seminar, RNSIT, Bangalore, INDIA. 28/02/2009
Sun Spot Talk
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REPORT texto braillefinal
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ASWATHI K
Â
01113 b
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leobonuis
Â
The rise of artificial intelligence (AI) has been making a huge impact on our daily lives, especially in the fields of recommendation systems, image recognition, natural language processing, and autonomous driving. As the amount of input data, weight parameters and intermediate data in the machine learning process grows exponentially, memory becomes a critical bottleneck, which requires a high density, low power and high speed non-volatile memory (NVM) solution. Among emerging NVM technologies, spin-transfer torque magnetoresistive random access memory (STT-MRAM) based on perpendicular magnetic tunnel junctions (pMTJ) shows distinct advantages: - High speed (comparable to DRAM and LLC), low standby power (vs eSRAM) and low active power deliver high tera operation per second (TOPS) per watt during the training and inference process. - Practically unlimited endurance allows large amount of data to be intensively processed. - High data retention allows weight parameters of neural network to be directly stored in NVM without extra power consumption (DRAM refreshing or SRAM leakage), especially for edge computing. - Excellent scalability to advanced technology nodes (beyond 7 nm) allows ASIC design with high density (vs eSRAM) for specific AI applications.
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Created by Mozilla Research in 2012 and now part of Linux Foundation Europe, the Servo project is an experimental rendering engine written in Rust. It combines memory safety and concurrency to create an independent, modular, and embeddable rendering engine that adheres to web standards. Stewardship of Servo moved from Mozilla Research to the Linux Foundation in 2020, where its mission remains unchanged. After some slow years, in 2023 there has been renewed activity on the project, with a roadmap now focused on improving the engineâs CSS 2 conformance, exploring Android support, and making Servo a practical embeddable rendering engine. In this presentation, Rakhi Sharma reviews the status of the project, our recent developments in 2023, our collaboration with Tauri to make Servo an easy-to-use embeddable rendering engine, and our plans for the future to make Servo an alternative web rendering engine for the embedded devices industry. (c) Embedded Open Source Summit 2024 April 16-18, 2024 Seattle, Washington (US) https://events.linuxfoundation.org/embedded-open-source-summit/ https://ossna2024.sched.com/event/1aBNF/a-year-of-servo-reboot-where-are-we-now-rakhi-sharma-igalia
A Year of the Servo Reboot: Where Are We Now?
A Year of the Servo Reboot: Where Are We Now?
Igalia
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Abhishek Deb(1), Mr Abdul Kalam(2) M. Des (UX) , School of Design, DIT University , Dehradun. This paper explores the future potential of AI-enabled smartphone processors, aiming to investigate the advancements, capabilities, and implications of integrating artificial intelligence (AI) into smartphone technology. The research study goals consist of evaluating the development of AI in mobile phone processors, analyzing the existing state as well as abilities of AI-enabled cpus determining future patterns as well as chances together with reviewing obstacles as well as factors to consider for more growth.
Exploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone Processors
debabhi2
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MySQL Webinar, presented on the 25th of April, 2024. Summary: MySQL solutions enable the deployment of diverse Database Architectures tailored to specific needs, including High Availability, Disaster Recovery, and Read Scale-Out. With MySQL Shell's AdminAPI, administrators can seamlessly set up, manage, and monitor these solutions, ensuring efficiency and ease of use in their administration. MySQL Router, on the other hand, provides transparent routing from the application traffic to the backend servers in the architectures, requiring minimal configuration. Completely built in-house and supported by Oracle, these solutions have been adopted by enterprises of all sizes for their business-critical applications. In this presentation, we'll delve into various database architecture solutions to help you choose the right one based on your business requirements. Focusing on technical details and the latest features to maximize the potential of these solutions.
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Miguel AraĂșjo
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Effective data discovery is crucial for maintaining compliance and mitigating risks in today's rapidly evolving privacy landscape. However, traditional manual approaches often struggle to keep pace with the growing volume and complexity of data. Join us for an insightful webinar where industry leaders from TrustArc and Privya will share their expertise on leveraging AI-powered solutions to revolutionize data discovery. You'll learn how to: - Effortlessly maintain a comprehensive, up-to-date data inventory - Harness code scanning insights to gain complete visibility into data flows leveraging the advantages of code scanning over DB scanning - Simplify compliance by leveraging Privya's integration with TrustArc - Implement proven strategies to mitigate third-party risks Our panel of experts will discuss real-world case studies and share practical strategies for overcoming common data discovery challenges. They'll also explore the latest trends and innovations in AI-driven data management, and how these technologies can help organizations stay ahead of the curve in an ever-changing privacy landscape.
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc
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Â
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Sun Spots And Mantis A Comparative Study
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