This document describes the architectural features and peripheral functions of the PIC16F873 microcontroller. It discusses the microcontroller core, which uses a Harvard architecture with separate program and data memory. It then describes the peripheral features including timers, I/O ports, serial communication interfaces, and analog-to-digital converter. Diagrams are included showing the memory map, pin configuration, and block diagrams of timers and serial communication modules. The document provides a detailed overview of the capabilities and operation of the PIC16F873 microcontroller.
The document provides an introduction to microcontrollers, specifically focusing on the Intel 8051 microcontroller. It defines microcontrollers and distinguishes them from microprocessors by noting that microcontrollers contain peripherals like RAM, ROM, I/O ports and timers on a single chip, while microprocessors require external circuitry. It then describes the architecture and features of the Intel 8051 microcontroller, including its 4KB program memory, 128 bytes of data memory, 32 general purpose registers, two timers, interrupts and I/O ports. Development tools for microcontrollers like editors, assemblers, compilers and debuggers/simulators are also discussed.
Here are the key characteristics of combinational circuits:
- The output depends only on the present inputs. The output is not affected by previous inputs or states.
- There is no feedback path i.e. output of one stage is not fed back to the input of previous stage.
- Changes in input are immediately reflected in the output. There is no delay element like flip-flops.
- Examples include decoders, multiplexers, encoders, adders, comparators etc. These perform logical and arithmetic operations.
- Can be designed using basic logic gates like AND, OR, NOT, NAND, NOR gates.
- Easy to design and understand the working as there is no memory
The document describes a Cloud Infrastructure Demonstration (CID) of the SmartZone 5.1 network management software. It provides instructions for reserving a demo pod on the CID platform, along with a baseline network diagram showing the configuration of two demo pods that contain various Brocade switches for testing and understanding the SmartZone user interface. The document also previews some of the key tabs and features in the SmartZone UI like viewing switch lists, configuration backups, and switch and port statistics.
Marek Jersak «Autonomous Drive – From Sensors to Motion».LogeekNightUkraine
Marek Jersak is the Senior Director of Autonomous Drive at Luxoft. The document discusses several challenges facing the autonomous vehicle industry and potential solutions. It notes that developing fully autonomous vehicles will require handling large amounts of data from sensors and overcoming issues like unpredictable human drivers. Luxoft aims to help customers address these challenges through approaches like automated data labeling, developing safety-critical software, and designing systems for teleoperated driving and vehicle security.
Marek Jersak. Autonomous Drive – From Sensors to MotionIT Arena
Marek Jersak, Senior Director, Autonomous Drive Practice at Luxoft Automotive
Autonomous Drive – From Sensors to Motion
Dr. Marek Jersak received his Diploma in Electrical Engineering from Aachen University of Technology, Germany in 1997. From 1997 to 1999 he worked as a compiler design engineer for Conexant Systems in Newport Beach, California. He returned to school in 1999 and graduated with a PhD in Real-Time Embedded System Design from the Technical University of Braunschweig, Germany in 2004. Together with his university fellow Kai Richter, in 2005 Marek co-founded Symtavision GmbH in Braunschweig, and in 2013 Symtavision Inc in Michigan, serving as Managing Director respectively President for those companies. Symtavision became a globally recognized leader in Timing Analysis tools and architecture consulting for automotive real- time systems with a focus on chassis, active safety, powertrain, body-control and in-vehicle networking. In February 2016, Marek and Kai sold Symtavision to Luxoft. Marek became director of the newly formed ‘Under the Hood’ practice inside Luxoft Automotive. The practice grew to more than 200 engineers in 1.5 years. At the end of 2017, we repositioned the practice to focus fully on various levels of automated driving, from Level-2 / 3 mass-production ADAS software to architectures and algorithms for Level-4 and ultimately Level-5 autonomous driving. Marek is now fully focused on building the teams, customer relationships and engagement models that enable a seamless, scalable and agile solutions offering from sensors to actuators, spanning co-development with our customers of system and software architectures, algorithms, automotive-grade software, integration, and testing.
Planes, Trains, and Automobiles: A Data Scientist’s Guide to Modeling Engine ...April Song
Slides that were presented in Data Science Central's webinar on 3/28/2016.
The dataset mentioned in this webinar can be found at https://c3.nasa.gov/dashlink/resources/140/.
This document describes the architectural features and peripheral functions of the PIC16F873 microcontroller. It discusses the microcontroller core, which uses a Harvard architecture with separate program and data memory. It then describes the peripheral features including timers, I/O ports, serial communication interfaces, and analog-to-digital converter. Diagrams are included showing the memory map, pin configuration, and block diagrams of timers and serial communication modules. The document provides a detailed overview of the capabilities and operation of the PIC16F873 microcontroller.
The document provides an introduction to microcontrollers, specifically focusing on the Intel 8051 microcontroller. It defines microcontrollers and distinguishes them from microprocessors by noting that microcontrollers contain peripherals like RAM, ROM, I/O ports and timers on a single chip, while microprocessors require external circuitry. It then describes the architecture and features of the Intel 8051 microcontroller, including its 4KB program memory, 128 bytes of data memory, 32 general purpose registers, two timers, interrupts and I/O ports. Development tools for microcontrollers like editors, assemblers, compilers and debuggers/simulators are also discussed.
Here are the key characteristics of combinational circuits:
- The output depends only on the present inputs. The output is not affected by previous inputs or states.
- There is no feedback path i.e. output of one stage is not fed back to the input of previous stage.
- Changes in input are immediately reflected in the output. There is no delay element like flip-flops.
- Examples include decoders, multiplexers, encoders, adders, comparators etc. These perform logical and arithmetic operations.
- Can be designed using basic logic gates like AND, OR, NOT, NAND, NOR gates.
- Easy to design and understand the working as there is no memory
The document describes a Cloud Infrastructure Demonstration (CID) of the SmartZone 5.1 network management software. It provides instructions for reserving a demo pod on the CID platform, along with a baseline network diagram showing the configuration of two demo pods that contain various Brocade switches for testing and understanding the SmartZone user interface. The document also previews some of the key tabs and features in the SmartZone UI like viewing switch lists, configuration backups, and switch and port statistics.
Marek Jersak «Autonomous Drive – From Sensors to Motion».LogeekNightUkraine
Marek Jersak is the Senior Director of Autonomous Drive at Luxoft. The document discusses several challenges facing the autonomous vehicle industry and potential solutions. It notes that developing fully autonomous vehicles will require handling large amounts of data from sensors and overcoming issues like unpredictable human drivers. Luxoft aims to help customers address these challenges through approaches like automated data labeling, developing safety-critical software, and designing systems for teleoperated driving and vehicle security.
Marek Jersak. Autonomous Drive – From Sensors to MotionIT Arena
Marek Jersak, Senior Director, Autonomous Drive Practice at Luxoft Automotive
Autonomous Drive – From Sensors to Motion
Dr. Marek Jersak received his Diploma in Electrical Engineering from Aachen University of Technology, Germany in 1997. From 1997 to 1999 he worked as a compiler design engineer for Conexant Systems in Newport Beach, California. He returned to school in 1999 and graduated with a PhD in Real-Time Embedded System Design from the Technical University of Braunschweig, Germany in 2004. Together with his university fellow Kai Richter, in 2005 Marek co-founded Symtavision GmbH in Braunschweig, and in 2013 Symtavision Inc in Michigan, serving as Managing Director respectively President for those companies. Symtavision became a globally recognized leader in Timing Analysis tools and architecture consulting for automotive real- time systems with a focus on chassis, active safety, powertrain, body-control and in-vehicle networking. In February 2016, Marek and Kai sold Symtavision to Luxoft. Marek became director of the newly formed ‘Under the Hood’ practice inside Luxoft Automotive. The practice grew to more than 200 engineers in 1.5 years. At the end of 2017, we repositioned the practice to focus fully on various levels of automated driving, from Level-2 / 3 mass-production ADAS software to architectures and algorithms for Level-4 and ultimately Level-5 autonomous driving. Marek is now fully focused on building the teams, customer relationships and engagement models that enable a seamless, scalable and agile solutions offering from sensors to actuators, spanning co-development with our customers of system and software architectures, algorithms, automotive-grade software, integration, and testing.
Planes, Trains, and Automobiles: A Data Scientist’s Guide to Modeling Engine ...April Song
Slides that were presented in Data Science Central's webinar on 3/28/2016.
The dataset mentioned in this webinar can be found at https://c3.nasa.gov/dashlink/resources/140/.
This document describes the Cal Poly Pomona Robosub team's entry in the 2014 Robosub competition. It discusses the team's goals of competing on a $3,500 budget and leaving documentation to help future teams. The team designed an autonomous underwater vehicle (AUV) with a modular aluminum frame, waterproofed electronics, and cameras/sensors interfaced to an onboard computer. The AUV is controlled through PID and fuzzy logic to complete tasks like navigating through an orange pole gate using color/object recognition from camera images. The team aims to place well among first year teams and establish a base for continued participation.
Search-based business intelligence and reverse data engineering with Apache SolrMario-Leander Reimer
We are searching the unknown. How can you find hidden and unknown relationships in unrelated data silos? How can you find relevant information in a 10^56 dimensional space? Sounds impossible? This talk will present a case study and success story about how Apache Solr has been used to build a search based business intelligence and information research application to answer these questions. The talk was delivered at the Apache: Big Data 2015 Conference in Budapast. #apachebigdataeu2015
The iSpectrum functions as multiple virtual spectrum analyzers installed on site, providing 24/7 remote monitoring capabilities. It continuously records spectrum data, enables real-time spectrum viewing, and sends automatic SNMP alarms. This improves maintenance and troubleshooting by allowing post-event analysis without on-site support. Revenue opportunities exist in selling monitoring access and professional services using iSpectrum's tools and alarm notifications.
IRJET- Boat Localization and Warning System for Border IdentificationIRJET Journal
This document describes a boat localization and warning system to help identify national borders and prevent fishermen from unintentionally crossing into other countries' waters. The proposed system uses Received Signal Strength Indication (RSSI) and Zigbee technology to track the location and distance of boats from borders in real-time. It includes a transmitter section on boats with a microcontroller, RSSI module, voice playback, and motor, and a receiver section in a control room with an RSSI module and monitoring database. The system can alert fishermen via voice when a boat approaches a border and automatically turn off the motor. It can also send messages to fishermen's homes using GSM if a boat crosses a border. This aims to help
The Fine Art of Time Travelling - Implementing Event Sourcing - Andrea Saltar...ITCamp
If there is a common practice in architecting software systems, it is to have them store the last known state of business entities in a relational database: though widely adopted and effectively supported by existing development tools, this practice trades the easiness of implementation with the cost of losing the history of such entities.
Event Sourcing provides a pivotal solution to this problem, giving systems the capability of restoring the state they had at any given point in time. Furthermore, injecting mock-up events and having them replayed by the business logic allows for an easy implementation of simulations and “what if” scenarios.
In this session, Andrea will demonstrate how to design time travelling systems by examining real-world, production-tested solutions.
This document describes a student project to detect object movement using a webcam. The project uses Python and OpenCV libraries. Key steps include capturing video frames, comparing frames to detect differences indicating movement, and highlighting the moving regions. The project aims to build a low-cost motion detection system for home users. It analyzes image frames to detect movement and displays the regions in separate color, gray, delta, and threshold frames for clear understanding.
IRJET - Smart Assistance System for DriversIRJET Journal
This document describes a smart driver assistance system that uses image processing to detect driver drowsiness and alcohol levels in order to prevent accidents. The system uses a camera mounted on the dashboard to capture images of the driver's face and detects drowsiness by measuring eyelid blinking duration and tracking eye movement. If the eyes are closed for 5-8 consecutive frames, an alarm is sounded. The system also uses an alcohol sensor to detect blood alcohol concentration and generates alerts or disables the vehicle at different thresholds. The goal is to develop a prototype that can warn drivers and reduce accidents caused by fatigue or intoxication through real-time facial analysis.
This document provides an overview of AUTOSAR ARXML files for communication networks. It discusses how ARXML files can be used to represent AUTOSAR-based ECU configurations and communication stacks, including describing elements like clusters, frames, PDUs, signals, and network endpoints. It also introduces the Intrepid EEA COM tool, which allows viewing, editing, and creating ARXML files to help engineers work with AUTOSAR communication matrices and networks.
This document discusses moving from manual to automated tracking of engine life limited parts (LLPs). It outlines the current process of manual data collation and entry for LLP tracking, which has major drawbacks like only being valid once a month and risk of human errors. The document proposes that real-time LLP tracking is possible using aircraft operational communication (AOC) data like engine operational data that is transmitted during flights. It announces that a new software called AETRACK will provide airlines with real-time LLP status reporting by processing flight data in an automated way without additional hardware requirements.
STPA Analysis of Automotive Safety Using Arcadia and CapellaDavid Hetherington
This presentation demonstrates the use of the Arcadia methodology and the open source Capella tool to implement a STPA-based analysis technique that augments the conventional HARA, HAZOP. The STPA approach extends the conventional methods to include a holistic perspective considering hardware, software, humans, and control failures in a balanced manner.
Delivered by David Hetherington and Pascal Roques at the ERTS 2022 conference in Toulouse, France on 1 June 2022.
Event-driven Network Automation and OrchestrationAPNIC
Salt is an open source network automation and orchestration tool that can be used for vendor-agnostic configuration management across multiple network device platforms. The presentation discusses how to start automating networks using Salt, integrating NAPALM for vendor-agnostic support, using YANG data models, and enabling event-driven automation through syslog messages and streaming telemetry. A live demo is also included to illustrate Salt in action.
IRJET- An Analysis and Implementation of Vehicle Black-Box SystemIRJET Journal
1. The document discusses the analysis and implementation of a vehicle black-box system to help investigate vehicle crashes and improve safety.
2. The proposed system would contain sensors to record vehicle and environmental conditions, cameras, microphones, and storage devices to continuously record data.
3. This black-box system is aimed at helping determine the exact causes of accidents for insurance claims and helping to advance vehicle safety features.
The document provides an overview of embedded system design, including:
1. The Apollo Guidance Computer was one of the first modern embedded systems and enabled the moon landings by automatically controlling the navigational functions of the Apollo spacecraft.
2. Embedded systems can be classified as small, medium, or sophisticated based on their hardware and software complexity. Common programming tools for each level are also discussed.
3. Major applications of embedded systems include consumer electronics, industrial equipment, automotive systems, networking devices, and medical equipment. Embedded systems typically perform functions like data collection, processing, communication, monitoring and control.
Delivering New Visibility and Analytics for IT OperationsGabrielle Knowles
The document discusses how Splunk provides visibility and analytics for IT operations. It outlines Splunk's ability to ingest data from various sources like applications, databases, networks and more. This gives organizations a universal platform to gain operational visibility, enable proactive monitoring, and obtain business insights from their machine data in real-time. Splunk differentiators include analyzing all data, scaling for large environments, and reducing MTTR, costs and improving user experiences.
The document discusses how Splunk provides visibility and analytics for IT operations. It describes how Splunk can ingest data from various sources like applications, databases, networks, virtualization and more. This gives organizations operational visibility across their infrastructure and enables proactive monitoring, search and investigation capabilities for troubleshooting and problem solving. Splunk offers a universal platform for machine data that can scale to handle large, complex environments.
The document discusses how Splunk provides visibility and analytics for IT operations. It outlines Splunk's ability to ingest data from various sources like applications, databases, networks and more. This gives organizations a universal platform to gain operational visibility, enable proactive monitoring, and power search and investigation across machine data for improved IT operations and business insights.
ArcSight Logger Forwarding Connector for HP Operations Manager Protect724manoj
This document provides instructions for installing and configuring the Logger Forwarding Connector for HP Operations Manager (OM). It allows events logged in ArcSight Logger to be forwarded to HP OM for analysis and monitoring. Key steps include installing the connector, creating a Logger forwarder to send events via UDP or TCP, and configuring an SNMP interceptor policy in HP OM to receive the forwarded events. Troubleshooting tips are also provided to address potential issues like duplicate or dropped events.
Paper PDF is available: https://dl.acm.org/citation.cfm?id=3195871
Accepted and presented at 5th Workshop on CrossCloud Infrastructures & Platforms, EuroSys Conference, April 2018
This document outlines the architecture of a medical leadership trainer scenario authoring engine. It includes components like a scenario editor, simulation manager, graphics engine, assessment engine, and learning management system. The architecture allows instructional designers to create scenarios for learners to participate in virtual field exercises through a 3D game engine, with lessons stored in a scenario repository within the learning management system. Learners' paths take them from a tactics operation center for planning through to the 3D game simulation and back for after action review.
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This document describes the Cal Poly Pomona Robosub team's entry in the 2014 Robosub competition. It discusses the team's goals of competing on a $3,500 budget and leaving documentation to help future teams. The team designed an autonomous underwater vehicle (AUV) with a modular aluminum frame, waterproofed electronics, and cameras/sensors interfaced to an onboard computer. The AUV is controlled through PID and fuzzy logic to complete tasks like navigating through an orange pole gate using color/object recognition from camera images. The team aims to place well among first year teams and establish a base for continued participation.
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We are searching the unknown. How can you find hidden and unknown relationships in unrelated data silos? How can you find relevant information in a 10^56 dimensional space? Sounds impossible? This talk will present a case study and success story about how Apache Solr has been used to build a search based business intelligence and information research application to answer these questions. The talk was delivered at the Apache: Big Data 2015 Conference in Budapast. #apachebigdataeu2015
The iSpectrum functions as multiple virtual spectrum analyzers installed on site, providing 24/7 remote monitoring capabilities. It continuously records spectrum data, enables real-time spectrum viewing, and sends automatic SNMP alarms. This improves maintenance and troubleshooting by allowing post-event analysis without on-site support. Revenue opportunities exist in selling monitoring access and professional services using iSpectrum's tools and alarm notifications.
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This document describes a boat localization and warning system to help identify national borders and prevent fishermen from unintentionally crossing into other countries' waters. The proposed system uses Received Signal Strength Indication (RSSI) and Zigbee technology to track the location and distance of boats from borders in real-time. It includes a transmitter section on boats with a microcontroller, RSSI module, voice playback, and motor, and a receiver section in a control room with an RSSI module and monitoring database. The system can alert fishermen via voice when a boat approaches a border and automatically turn off the motor. It can also send messages to fishermen's homes using GSM if a boat crosses a border. This aims to help
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This document describes a smart driver assistance system that uses image processing to detect driver drowsiness and alcohol levels in order to prevent accidents. The system uses a camera mounted on the dashboard to capture images of the driver's face and detects drowsiness by measuring eyelid blinking duration and tracking eye movement. If the eyes are closed for 5-8 consecutive frames, an alarm is sounded. The system also uses an alcohol sensor to detect blood alcohol concentration and generates alerts or disables the vehicle at different thresholds. The goal is to develop a prototype that can warn drivers and reduce accidents caused by fatigue or intoxication through real-time facial analysis.
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3. This black-box system is aimed at helping determine the exact causes of accidents for insurance claims and helping to advance vehicle safety features.
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Pic (program interface controller) how to presentation shrt
1. 8th Annual Aimsun Users’ Meeting PIC (Program Interface Controller) by RIPAS and TSS Part 2: How to Presenter’s logo
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4. How to – Where to store parameters? 8th Annual Aimsun Users’ Meeting RIPAS’s TLC not found (yet?).. Aimsun API description for this component is not available
5. How to – Connection for external *.dll 8th Annual Aimsun Users’ Meeting
6. How to – intersection link to controller 8th Annual Aimsun Users’ Meeting
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8. How to – Signal groups assignment 8th Annual Aimsun Users’ Meeting
9. How to – External control assignment 8th Annual Aimsun Users’ Meeting
10. How to – Time step setup 8th Annual Aimsun Users’ Meeting
11. How to – Let’s start simulation!!! 8th Annual Aimsun Users’ Meeting
12. How to – Dll structure 8th Annual Aimsun Users’ Meeting
13. How to – Dll (TLC Signal Group State reading example) 8th Annual Aimsun Users’ Meeting
14. How to – Dll (Detectors state transfer example) 8th Annual Aimsun Users’ Meeting