The use of synchrophasors for monitoring and improving the stability of power transmission networks is gaining in significance all over the world. The aim is to monitor the system state, to intensify awareness for system stability and to make optimal use of existing lines. This way, system stability can be improved overall and even the transmission performance can be increased. The data from so many PMU’s and PDC’s needs to be collected and directed to proper channels for its efficient use. Thus we need to develop an efficient, flexible and hybrid data concentrator that can serve this purpose. Besides accepting the data from PMU’s, PDC should be able to accept the data also from other PDC. We have designed such a PDC (iPDC) that accepts data from PMU & PDC that are IEEEC37.118 standard compliant.
WAMS architecture with iPDC and PMU at different levels. This architecture enables iPDC to receive data either from a PMU or other iPDC. Both PMU and iPDC from whom the data is being received should be IEEE C37.118 synchrophasor standard compliant. It is hybrid architecture.
iPDC Design
The client server architecture is common in networks when two peers are communicating with each other. Of the two peers (PMU and iPDC) that are communicating with each other in WAMS one acts as a client and the other as a server. Since PMU saves the requests coming
from iPDC by sending data or configuration frames it acts as a server. It listens for command frames from iPDC. PMU-iPDC communication can be either over TCP or UDP communication protocols. On receiving command frames, PMU replies to the iPDC with data or configuration frames according to the type of request.
iPDC functionality is bifurcated as server and client. iPDC as a Client - When iPDC receives data or configuration frames its acts as a client. When acting as a client, it creates a new thread for each PMU or a PDC from whom it is going to receive data/configuration frames. This thread would establish connection between the two communication entities. It handles both TCP and UDP connections. The first frame that the server (PMU/PDC) would receive is the command for sending the configuration frame. When the server replies with the configuration frame, iPDC (client) would generate another request to start sending the data frames. On receiving
such a command frame, the server starts sending the data frames. If there is some change in the status bits of data frame which the client (iPDC) notices, it would take an action. For example if it notices a bit 10 has been set, it would internally send a command to server to send the latest configuration frame.
iPDC as a Server- When iPDC receives command frames from another PDC it would acts as a server. There would be two reserved ports one for UDP and other for TCP on which the PDC would receive command frame requests. Thus PDC now plays the role of PMU waiting
for command frames.
The use of synchrophasors for monitoring and improving the stability of power transmission networks is gaining in significance all over the world. The aim is to monitor the system state, to intensify awareness for system stability and to make optimal use of existing lines. This way, system stability can be improved overall and even the transmission performance can be increased. The data from so many PMU’s and PDC’s needs to be collected and directed to proper channels for its efficient use. Thus we need to develop an efficient, flexible and hybrid data concentrator that can serve this purpose. Besides accepting the data from PMU’s, PDC should be able to accept the data also from other PDC. We have designed such a PDC (iPDC) that accepts data from PMU & PDC that are IEEEC37.118 standard compliant.
WAMS architecture with iPDC and PMU at different levels. This architecture enables iPDC to receive data either from a PMU or other iPDC. Both PMU and iPDC from whom the data is being received should be IEEE C37.118 synchrophasor standard compliant. It is hybrid architecture.
iPDC Design
The client server architecture is common in networks when two peers are communicating with each other. Of the two peers (PMU and iPDC) that are communicating with each other in WAMS one acts as a client and the other as a server. Since PMU saves the requests coming
from iPDC by sending data or configuration frames it acts as a server. It listens for command frames from iPDC. PMU-iPDC communication can be either over TCP or UDP communication protocols. On receiving command frames, PMU replies to the iPDC with data or configuration frames according to the type of request.
iPDC functionality is bifurcated as server and client. iPDC as a Client - When iPDC receives data or configuration frames its acts as a client. When acting as a client, it creates a new thread for each PMU or a PDC from whom it is going to receive data/configuration frames. This thread would establish connection between the two communication entities. It handles both TCP and UDP connections. The first frame that the server (PMU/PDC) would receive is the command for sending the configuration frame. When the server replies with the configuration frame, iPDC (client) would generate another request to start sending the data frames. On receiving
such a command frame, the server starts sending the data frames. If there is some change in the status bits of data frame which the client (iPDC) notices, it would take an action. For example if it notices a bit 10 has been set, it would internally send a command to server to send the latest configuration frame.
iPDC as a Server- When iPDC receives command frames from another PDC it would acts as a server. There would be two reserved ports one for UDP and other for TCP on which the PDC would receive command frame requests. Thus PDC now plays the role of PMU waiting
for command frames.
The document is a project report submitted by Kedar Khandeparkar for the partial fulfillment of the requirements for the degree of Master of Technology. It discusses the design and implementation of communication, storage, and archival of an IEEE C37.118 standard based Wide Area Measurement System (WAMS). WAMS uses Phasor Measurement Units (PMUs) to collect synchronized phasor measurements across the power grid to provide improved monitoring capabilities compared to traditional SCADA systems. The report covers the components of WAMS, communication protocols, existing WAMS implementations, and use of databases for storage and archival of PMU/PDC data.
iPDC-v1.3.0 - A Complete Technical Report including iPDC, PMU Simulator, and ...Nitesh Pandit
iPDC is a free Phasor Data Concentrator based on IEEEC37.118 synchrophasor standard. It also has Database Server for iPDC and PMU Simulator modules.
The objective of iPDC project is to create a IEEE C37.118 Synchrophasor standardized Phasor Data Concentrator and PMU Simulator, on which research students and others can develop and test their algorithms and applications. The purpose of iPDC released as a Free Software to its availability for users without any restriction regarding its usage and modification. And to get the contribution from users and developers all around the world.
iPDC do the time alignment and combining of the received data into frames as per IEEEC37.118 and can send to other iPDCs, and applications. iPDC can also archive received data in the MySQL database on local/remote machine. PMU Simulator is also IEEEC37.118 std compliant. Software is built to be working on Linux platform.
This document describes a student project to implement database systems on the SpiNNaker neuromorphic hardware architecture. The student developed a key-value store and relational database to run on SpiNNaker, evaluating its performance and limitations for general purpose computing. The conclusions from this work provide feedback that could help improve SpiNNaker's design for applications beyond neural network simulations. Challenges included dealing with unreliable communication, out-of-order execution, and API bugs in the neuromorphic system. Evaluation benchmarks analyzed reliability, throughput, and memory usage under the database workloads.
This document describes the EnerScope energy management system project. The system aims to integrate various hardware devices and communication interfaces on a common platform. It acquires electricity usage and environmental data from loads like the Experimental Power Grid Centre and a smart home testbed. Data is collected using devices like data acquisition modules, an intelligent energy meter, and wireless sensor motes. These devices communicate through serial, WiFi, and local area network protocols. LabVIEW software is used to retrieve and process the data, which is stored in a database. The system demonstrates real-time energy monitoring and demand response capabilities.
This document discusses the management of large computer farms. It defines a computer farm as a group of networked computers located close together that are managed as a single logical unit, despite potential heterogeneity. Clusters are subgroups within a farm that are dedicated to a specific task. The document outlines some common applications of farms and clusters, including high performance computing, high availability computing, and small clusters for education. It then discusses the key aspects of managing large farms, including installation, configuration, monitoring, and hardware inventory. Existing solutions for automated farm management are also reviewed.
Increasing technology development and better life standards of the mod-
ern society demand more stable, top quality electricity. In meeting these
demands the high voltage industry has been adding new technology to its
equipment in order to maximize its efficiency. This is often the only option
available as it is not always possible to add more power plants or transmis-
sion lines especially in populated areas where the need for more power is
perhaps the greatest.
One of those new technologies implemented in the modern power system
is the Phasor Measurement Unit (PMU). In general the main purpose of
the PMU is to synchronize measurements at different locations in the power
grid by using the GPS technology. This technology is called Wide Area
Measurement System (WAMS).
Development of the PMU is well on its way in several countries, e.g. in
USA they have developed technology called Wide–Area Stability and Volt-
age Control System (WACS), where they can receive and analyze measure-
ment data live [7]. An obvious advantage of that is the ability to foresee
a fault and thus the capability to take the necessary measures to minimize
the fault’s effect on the system or even stop the fault from occurring.
This document is a thesis submitted by Richard Jones to the Department of Computing at Imperial College London in June 2015. It presents PUMA (Pseudo-Uniform Memory Access), a smart memory allocator that manages data in a NUMA-aware way for parallel applications. PUMA exposes an interface to execute kernels in parallel while ensuring each core accesses primarily local memory. It provides optional load balancing to adapt workloads where cores have different capabilities. The thesis evaluates PUMA by parallelizing a Large Ecosystem Model (LERM) using it. Results show PUMA improves performance by minimizing remote memory accesses and balancing workloads across cores.
The use of synchrophasors for monitoring and improving the stability of power transmission networks is gaining in significance all over the world. The aim is to monitor the system state, to intensify awareness for system stability and to make optimal use of existing lines. This way, system stability can be improved overall and even the transmission performance can be increased. The data from so many PMU’s and PDC’s needs to be collected and directed to proper channels for its efficient use. Thus we need to develop an efficient, flexible and hybrid data concentrator that can serve this purpose. Besides accepting the data from PMU’s, PDC should be able to accept the data also from other PDC. We have designed such a PDC (iPDC) that accepts data from PMU & PDC that are IEEEC37.118 standard compliant.
WAMS architecture with iPDC and PMU at different levels. This architecture enables iPDC to receive data either from a PMU or other iPDC. Both PMU and iPDC from whom the data is being received should be IEEE C37.118 synchrophasor standard compliant. It is hybrid architecture.
iPDC Design
The client server architecture is common in networks when two peers are communicating with each other. Of the two peers (PMU and iPDC) that are communicating with each other in WAMS one acts as a client and the other as a server. Since PMU saves the requests coming
from iPDC by sending data or configuration frames it acts as a server. It listens for command frames from iPDC. PMU-iPDC communication can be either over TCP or UDP communication protocols. On receiving command frames, PMU replies to the iPDC with data or configuration frames according to the type of request.
iPDC functionality is bifurcated as server and client. iPDC as a Client - When iPDC receives data or configuration frames its acts as a client. When acting as a client, it creates a new thread for each PMU or a PDC from whom it is going to receive data/configuration frames. This thread would establish connection between the two communication entities. It handles both TCP and UDP connections. The first frame that the server (PMU/PDC) would receive is the command for sending the configuration frame. When the server replies with the configuration frame, iPDC (client) would generate another request to start sending the data frames. On receiving
such a command frame, the server starts sending the data frames. If there is some change in the status bits of data frame which the client (iPDC) notices, it would take an action. For example if it notices a bit 10 has been set, it would internally send a command to server to send the latest configuration frame.
iPDC as a Server- When iPDC receives command frames from another PDC it would acts as a server. There would be two reserved ports one for UDP and other for TCP on which the PDC would receive command frame requests. Thus PDC now plays the role of PMU waiting
for command frames.
The document is a project report submitted by Kedar Khandeparkar for the partial fulfillment of the requirements for the degree of Master of Technology. It discusses the design and implementation of communication, storage, and archival of an IEEE C37.118 standard based Wide Area Measurement System (WAMS). WAMS uses Phasor Measurement Units (PMUs) to collect synchronized phasor measurements across the power grid to provide improved monitoring capabilities compared to traditional SCADA systems. The report covers the components of WAMS, communication protocols, existing WAMS implementations, and use of databases for storage and archival of PMU/PDC data.
iPDC-v1.3.0 - A Complete Technical Report including iPDC, PMU Simulator, and ...Nitesh Pandit
iPDC is a free Phasor Data Concentrator based on IEEEC37.118 synchrophasor standard. It also has Database Server for iPDC and PMU Simulator modules.
The objective of iPDC project is to create a IEEE C37.118 Synchrophasor standardized Phasor Data Concentrator and PMU Simulator, on which research students and others can develop and test their algorithms and applications. The purpose of iPDC released as a Free Software to its availability for users without any restriction regarding its usage and modification. And to get the contribution from users and developers all around the world.
iPDC do the time alignment and combining of the received data into frames as per IEEEC37.118 and can send to other iPDCs, and applications. iPDC can also archive received data in the MySQL database on local/remote machine. PMU Simulator is also IEEEC37.118 std compliant. Software is built to be working on Linux platform.
This document describes a student project to implement database systems on the SpiNNaker neuromorphic hardware architecture. The student developed a key-value store and relational database to run on SpiNNaker, evaluating its performance and limitations for general purpose computing. The conclusions from this work provide feedback that could help improve SpiNNaker's design for applications beyond neural network simulations. Challenges included dealing with unreliable communication, out-of-order execution, and API bugs in the neuromorphic system. Evaluation benchmarks analyzed reliability, throughput, and memory usage under the database workloads.
This document describes the EnerScope energy management system project. The system aims to integrate various hardware devices and communication interfaces on a common platform. It acquires electricity usage and environmental data from loads like the Experimental Power Grid Centre and a smart home testbed. Data is collected using devices like data acquisition modules, an intelligent energy meter, and wireless sensor motes. These devices communicate through serial, WiFi, and local area network protocols. LabVIEW software is used to retrieve and process the data, which is stored in a database. The system demonstrates real-time energy monitoring and demand response capabilities.
This document discusses the management of large computer farms. It defines a computer farm as a group of networked computers located close together that are managed as a single logical unit, despite potential heterogeneity. Clusters are subgroups within a farm that are dedicated to a specific task. The document outlines some common applications of farms and clusters, including high performance computing, high availability computing, and small clusters for education. It then discusses the key aspects of managing large farms, including installation, configuration, monitoring, and hardware inventory. Existing solutions for automated farm management are also reviewed.
Increasing technology development and better life standards of the mod-
ern society demand more stable, top quality electricity. In meeting these
demands the high voltage industry has been adding new technology to its
equipment in order to maximize its efficiency. This is often the only option
available as it is not always possible to add more power plants or transmis-
sion lines especially in populated areas where the need for more power is
perhaps the greatest.
One of those new technologies implemented in the modern power system
is the Phasor Measurement Unit (PMU). In general the main purpose of
the PMU is to synchronize measurements at different locations in the power
grid by using the GPS technology. This technology is called Wide Area
Measurement System (WAMS).
Development of the PMU is well on its way in several countries, e.g. in
USA they have developed technology called Wide–Area Stability and Volt-
age Control System (WACS), where they can receive and analyze measure-
ment data live [7]. An obvious advantage of that is the ability to foresee
a fault and thus the capability to take the necessary measures to minimize
the fault’s effect on the system or even stop the fault from occurring.
This document is a thesis submitted by Richard Jones to the Department of Computing at Imperial College London in June 2015. It presents PUMA (Pseudo-Uniform Memory Access), a smart memory allocator that manages data in a NUMA-aware way for parallel applications. PUMA exposes an interface to execute kernels in parallel while ensuring each core accesses primarily local memory. It provides optional load balancing to adapt workloads where cores have different capabilities. The thesis evaluates PUMA by parallelizing a Large Ecosystem Model (LERM) using it. Results show PUMA improves performance by minimizing remote memory accesses and balancing workloads across cores.
This document is a master's thesis submitted by Sascha Nawrot to Berlin University of Applied Sciences in partial fulfillment of the requirements for a Master of Science degree in Applied Computer Science. The thesis introduces novel, lightweight open source annotation tools for whole slide images that enable deep learning experts and pathology experts to cooperate in creating training samples by annotating regions of interest in whole slide images, regardless of platform or format, in a fast and easy manner. The tools consist of a conversion service to convert whole slide images to an open format, an annotation service for annotating regions of interest, and a tessellation service to extract the annotated regions from the images.
This document is a dissertation submitted for the degree of Master of Technology. It describes work done to implement real-time video and image processing algorithms for object tracking on the Texas Instruments TMS320DM6437 DaVinci digital media processor. Specifically, algorithms for single object tracking and multiple object tracking were developed and tested on the DaVinci processor. The performance of the algorithms was faster and more accurate compared to implementing the same algorithms on a PC using Matlab. Debugging and profiling results showed that the DaVinci processor provided at least a ten-times speedup for real-time object tracking compared to a PC implementation.
Tree structured partitioning into transform blocks and units and interpicture...LainAcarolu
This document discusses tree-structured partitioning and interpicture prediction in HEVC. It describes how HEVC divides video frames into coding tree units (CTUs) and further partitions CTUs into coding blocks and coding units of variable sizes for prediction and transform coding. This flexible block structure enables more efficient encoding than prior standards. The document also covers advanced techniques in HEVC for motion vector prediction, fractional sample interpolation, and weighted sample prediction to improve interpicture prediction performance.
This document provides an overview and implementation details for IBM Tivoli Monitoring for Network Performance V2.1. It describes the product's architecture including components like the web application, monitor functions, communication methods, and database structure. It then discusses two implementation scenarios: a distributed servers environment and a pure z/OS environment. Finally, it covers steps for installing and configuring the web application on AIX and z/OS mainframes.
This document describes the design of an automated class attendance recording system by Carel van Wyk. The system uses RFID and WiFi technologies to record student attendance. The design includes hardware components like an RFID scanner, LCD display, keypad, and processing board. Software components include a database to store attendance records, memory mapping, LCD layout, and a website for device configuration. Testing was conducted on hardware modules and their integration. Measurements show the WiFi and RFID modules work as intended. The system will integrate with an existing MyStudies application and server to manage attendance records.
This document provides an introduction to storage provisioning using IBM's Tivoli Provisioning Manager and TotalStorage Productivity Center. It discusses how these solutions can automate complex storage provisioning tasks, simplify infrastructure management, and eliminate human errors. Specifically, it explores how Tivoli Provisioning Manager can automate the provisioning of SAN File System volumes.
ENERGY EFFICIENCY OF ARM ARCHITECTURES FOR CLOUD COMPUTING APPLICATIONSStephan Cadene
This thesis evaluates how the energy efficiency of the ARMv7 architecture based processors
Cortex-A9 MPCpre and Cortex-A8 compare in applications such as a SIPProxy
and a web server compared to Intel Xeon processors. The focus is on comparing
the energy efficiency between the two architectures rather than just the performance.
As the processors used in servers today have more computational power than
the Cortex-A9 MPCore, several of these slower but more energy efficient processors
are needed. Depending on the application, benchmarks indicate energy efficiency of
3-11 times greater for the ARM Cortex-A9 in comparison to the Intel Xeon. The topics
of interconnects between processors and overhead caused by using an increasing
number of processors, are left for later research
This document is a user guide and tutorial for RapidMiner 4.4. It introduces RapidMiner as a data mining tool that allows users to build processes as operator trees to model knowledge discovery workflows. The document provides information on installation, basic usage examples, advanced processes, and a reference for available operators.
This document is a project report submitted by four students for their Bachelor of Engineering degree. It describes the development of a microcontroller-based interactive voice response system. The system uses a microcontroller and other ICs interfaced to a PC to allow telephone users to access information from a database by following voice prompts. The report includes details of the hardware and software design, component selection, circuit diagrams, programming code and testing procedures. It aims to provide a low-cost alternative to commercial IVR systems for small businesses.
This document describes a thesis that proposes a multicore architecture allowing fault tolerant cores to distribute critical tasks to less reliable cores. It uses a fingerprinting system where each core monitors others by calculating fingerprints and comparing them in a centralized hardware comparator. The fingerprinting unit represents 15% of core resources while the comparator adds 6% cost. An FPGA prototype was developed to fingerprint parallel thread executions. A virtual debugging platform was also created using processor models and multicore simulation.
This document describes a project that aims to demonstrate computational offloading using a robot built with Lego Mindstorms EV3 parts. The robot will perform face tracking using a webcam and offload parts of the face tracking algorithm when the CPU becomes overloaded. A GUI will allow the user to manually trigger offloading and view its effects. The project aims to explore how offloading can improve responsiveness for low-power systems like robots.
This thesis explores accelerating isosurface rendering of volume data using GPU ray casting with an octree. It analyzes octree traversal types suitable for GPU implementation and develops a hybrid traversal combining stackless octree traversal with direct grid ray marching. The method was integrated into the WisS anthropology data viewer. The implementation achieves up to 3.5x speedup over the original ray marching, improving interactivity on large datasets. Challenges for GPU octree traversal are discussed along with directions for future work.
This master's thesis documents the Linux kernel version 2.6. It begins with an introduction to operating systems concepts and an overview of Linux kernel subsystems. The core chapters analyze important kernel mechanisms such as synchronization, scheduling, memory management and device drivers. Code examples are provided to illustrate kernel programming concepts. The thesis concludes with the documentation of a sample loadable kernel module.
MatConvNet is a MATLAB toolbox that implements convolutional neural networks (CNNs) for computer vision tasks. It aims to provide a simple and flexible environment for researchers to prototype and test new CNN architectures. Key features include exposing CNN building blocks as MATLAB functions, optimized CPU and GPU implementations for efficient training of large models on large datasets, and the ability to easily develop new blocks within MATLAB. Pre-trained versions of popular CNN models are also provided.
This document provides guidance on planning and deploying IBM Tivoli Composite Application Manager for Web Resources V6.2 (ITCAM) to monitor Web application server performance. It discusses the ITCAM architecture and how it interconnects with J2EE and WebSphere data collectors. It also covers hardware and software prerequisites, typical deployment environments, and provides a sample project plan for setting up ITCAM with tasks such as environment preparation, software installation, and customizing the product.
This document provides an abstract for Suman Srinivasan's 2015 PhD dissertation from Columbia University titled "Improving Content Delivery and Service Discovery in Networks". The dissertation aims to provide clarity on usage of core networking protocols and multimedia consumption on mobile and wireless networks as well as the network core. It presents research prototypes for potential solutions to problems caused by increased multimedia consumption on the Internet. The dissertation contains four main contributions: 1) Studies measuring data usage and protocols on networks; 2) New software architectures and implementations for service discovery on wireless networks; 3) On-path content delivery networks and a new distributed CDN architecture; 4) Research prototypes for content-centric networking.
This document is a final report for the Advanced Radio Transmission Experimental Michigan Satellite (ARTEMIS) project. It provides an overview of the mission requirements and design drivers for the subsystems of the ARTEMIS CubeSat. The report describes the preliminary analyses and simulation tools used to evaluate the performance of the satellite's orbits, communication system, propulsion system, electrical power system, attitude determination and control system, command and data handling system, structures, thermal control system, and guidance system.
This document provides the source code documentation for an iPDC Phasor Data Concentrator. It describes the general working of the iPDC, including adding and removing data sources and destinations, turning data transmission on and off, and requesting configuration frames. It then documents the source code files and functions for the iPDC and associated DBServer and PMU simulator.
Design & implementation of phasor data concentrator compliant to ieee c37.118...Nitesh Pandit
The use of synchrophasors for monitoring and improving the stability of power transmission networks is gaining in significance all over the world. The aim is to monitor the system state, to intensify awareness for system stability and to make optimal use of existing lines. This way, system stability can be improved overall and even the transmission performance can be increased. The data from so many PMU’s and PDC’s needs to be collected and directed to proper channels for its efficient use. Thus we need to develop an efficient, flexible and hybrid data concentrator that can serve this purpose. Besides accepting the data from PMU’s, PDC should be able to accept the data also from other PDC. We have designed such a PDC (iPDC) that accepts data from PMU & PDC that are IEEEC37.118 standard compliant.
WAMS architecture with iPDC and PMU at different levels. This architecture enables iPDC to receive data either from a PMU or other iPDC. Both PMU and iPDC from whom the data is being received should be IEEE C37.118 synchrophasor standard compliant. It is hybrid architecture.
iPDC Design
The client server architecture is common in networks when two peers are communicating with each other. Of the two peers (PMU and iPDC) that are communicating with each other in WAMS one acts as a client and the other as a server. Since PMU saves the requests coming
from iPDC by sending data or configuration frames it acts as a server. It listens for command frames from iPDC. PMU-iPDC communication can be either over TCP or UDP communication protocols. On receiving command frames, PMU replies to the iPDC with data or configuration frames according to the type of request.
iPDC functionality is bifurcated as server and client. iPDC as a Client - When iPDC receives data or configuration frames its acts as a client. When acting as a client, it creates a new thread for each PMU or a PDC from whom it is going to receive data/configuration frames. This thread would establish connection between the two communication entities. It handles both TCP and UDP connections. The first frame that the server (PMU/PDC) would receive is the command for sending the configuration frame. When the server replies with the configuration frame, iPDC (client) would generate another request to start sending the data frames. On receiving
such a command frame, the server starts sending the data frames. If there is some change in the status bits of data frame which the client (iPDC) notices, it would take an action. For example if it notices a bit 10 has been set, it would internally send a command to server to send the latest configuration frame.
iPDC as a Server- When iPDC receives command frames from another PDC it would acts as a server. There would be two reserved ports one for UDP and other for TCP on which the PDC would receive command frame requests. Thus PDC now plays the role of PMU waiting
for command frames.
Introduction of wide area mesurement syatemPanditNitesh
This document summarizes a seminar presentation on Wide Area Measurement Systems (WAMS). WAMS uses Phasor Measurement Units (PMUs) synchronized by GPS to monitor power grids. PMUs measure voltage and current phasors, while Phasor Data Concentrators (PDCs) collect and process data from multiple PMUs. The seminar discusses the components of WAMS including PMUs, PDCs, and communication protocols. It also reviews several implementations of WAMS and their applications in monitoring the electric grid.
This document provides an introduction and overview of Cassandra and NoSQL databases. It discusses the challenges faced by modern web applications that led to the development of NoSQL databases. It then describes Cassandra's data model, API, consistency model, and architecture including write path, read path, compactions, and more. Key features of Cassandra like tunable consistency levels and high availability are also highlighted.
This document is a master's thesis submitted by Sascha Nawrot to Berlin University of Applied Sciences in partial fulfillment of the requirements for a Master of Science degree in Applied Computer Science. The thesis introduces novel, lightweight open source annotation tools for whole slide images that enable deep learning experts and pathology experts to cooperate in creating training samples by annotating regions of interest in whole slide images, regardless of platform or format, in a fast and easy manner. The tools consist of a conversion service to convert whole slide images to an open format, an annotation service for annotating regions of interest, and a tessellation service to extract the annotated regions from the images.
This document is a dissertation submitted for the degree of Master of Technology. It describes work done to implement real-time video and image processing algorithms for object tracking on the Texas Instruments TMS320DM6437 DaVinci digital media processor. Specifically, algorithms for single object tracking and multiple object tracking were developed and tested on the DaVinci processor. The performance of the algorithms was faster and more accurate compared to implementing the same algorithms on a PC using Matlab. Debugging and profiling results showed that the DaVinci processor provided at least a ten-times speedup for real-time object tracking compared to a PC implementation.
Tree structured partitioning into transform blocks and units and interpicture...LainAcarolu
This document discusses tree-structured partitioning and interpicture prediction in HEVC. It describes how HEVC divides video frames into coding tree units (CTUs) and further partitions CTUs into coding blocks and coding units of variable sizes for prediction and transform coding. This flexible block structure enables more efficient encoding than prior standards. The document also covers advanced techniques in HEVC for motion vector prediction, fractional sample interpolation, and weighted sample prediction to improve interpicture prediction performance.
This document provides an overview and implementation details for IBM Tivoli Monitoring for Network Performance V2.1. It describes the product's architecture including components like the web application, monitor functions, communication methods, and database structure. It then discusses two implementation scenarios: a distributed servers environment and a pure z/OS environment. Finally, it covers steps for installing and configuring the web application on AIX and z/OS mainframes.
This document describes the design of an automated class attendance recording system by Carel van Wyk. The system uses RFID and WiFi technologies to record student attendance. The design includes hardware components like an RFID scanner, LCD display, keypad, and processing board. Software components include a database to store attendance records, memory mapping, LCD layout, and a website for device configuration. Testing was conducted on hardware modules and their integration. Measurements show the WiFi and RFID modules work as intended. The system will integrate with an existing MyStudies application and server to manage attendance records.
This document provides an introduction to storage provisioning using IBM's Tivoli Provisioning Manager and TotalStorage Productivity Center. It discusses how these solutions can automate complex storage provisioning tasks, simplify infrastructure management, and eliminate human errors. Specifically, it explores how Tivoli Provisioning Manager can automate the provisioning of SAN File System volumes.
ENERGY EFFICIENCY OF ARM ARCHITECTURES FOR CLOUD COMPUTING APPLICATIONSStephan Cadene
This thesis evaluates how the energy efficiency of the ARMv7 architecture based processors
Cortex-A9 MPCpre and Cortex-A8 compare in applications such as a SIPProxy
and a web server compared to Intel Xeon processors. The focus is on comparing
the energy efficiency between the two architectures rather than just the performance.
As the processors used in servers today have more computational power than
the Cortex-A9 MPCore, several of these slower but more energy efficient processors
are needed. Depending on the application, benchmarks indicate energy efficiency of
3-11 times greater for the ARM Cortex-A9 in comparison to the Intel Xeon. The topics
of interconnects between processors and overhead caused by using an increasing
number of processors, are left for later research
This document is a user guide and tutorial for RapidMiner 4.4. It introduces RapidMiner as a data mining tool that allows users to build processes as operator trees to model knowledge discovery workflows. The document provides information on installation, basic usage examples, advanced processes, and a reference for available operators.
This document is a project report submitted by four students for their Bachelor of Engineering degree. It describes the development of a microcontroller-based interactive voice response system. The system uses a microcontroller and other ICs interfaced to a PC to allow telephone users to access information from a database by following voice prompts. The report includes details of the hardware and software design, component selection, circuit diagrams, programming code and testing procedures. It aims to provide a low-cost alternative to commercial IVR systems for small businesses.
This document describes a thesis that proposes a multicore architecture allowing fault tolerant cores to distribute critical tasks to less reliable cores. It uses a fingerprinting system where each core monitors others by calculating fingerprints and comparing them in a centralized hardware comparator. The fingerprinting unit represents 15% of core resources while the comparator adds 6% cost. An FPGA prototype was developed to fingerprint parallel thread executions. A virtual debugging platform was also created using processor models and multicore simulation.
This document describes a project that aims to demonstrate computational offloading using a robot built with Lego Mindstorms EV3 parts. The robot will perform face tracking using a webcam and offload parts of the face tracking algorithm when the CPU becomes overloaded. A GUI will allow the user to manually trigger offloading and view its effects. The project aims to explore how offloading can improve responsiveness for low-power systems like robots.
This thesis explores accelerating isosurface rendering of volume data using GPU ray casting with an octree. It analyzes octree traversal types suitable for GPU implementation and develops a hybrid traversal combining stackless octree traversal with direct grid ray marching. The method was integrated into the WisS anthropology data viewer. The implementation achieves up to 3.5x speedup over the original ray marching, improving interactivity on large datasets. Challenges for GPU octree traversal are discussed along with directions for future work.
This master's thesis documents the Linux kernel version 2.6. It begins with an introduction to operating systems concepts and an overview of Linux kernel subsystems. The core chapters analyze important kernel mechanisms such as synchronization, scheduling, memory management and device drivers. Code examples are provided to illustrate kernel programming concepts. The thesis concludes with the documentation of a sample loadable kernel module.
MatConvNet is a MATLAB toolbox that implements convolutional neural networks (CNNs) for computer vision tasks. It aims to provide a simple and flexible environment for researchers to prototype and test new CNN architectures. Key features include exposing CNN building blocks as MATLAB functions, optimized CPU and GPU implementations for efficient training of large models on large datasets, and the ability to easily develop new blocks within MATLAB. Pre-trained versions of popular CNN models are also provided.
This document provides guidance on planning and deploying IBM Tivoli Composite Application Manager for Web Resources V6.2 (ITCAM) to monitor Web application server performance. It discusses the ITCAM architecture and how it interconnects with J2EE and WebSphere data collectors. It also covers hardware and software prerequisites, typical deployment environments, and provides a sample project plan for setting up ITCAM with tasks such as environment preparation, software installation, and customizing the product.
This document provides an abstract for Suman Srinivasan's 2015 PhD dissertation from Columbia University titled "Improving Content Delivery and Service Discovery in Networks". The dissertation aims to provide clarity on usage of core networking protocols and multimedia consumption on mobile and wireless networks as well as the network core. It presents research prototypes for potential solutions to problems caused by increased multimedia consumption on the Internet. The dissertation contains four main contributions: 1) Studies measuring data usage and protocols on networks; 2) New software architectures and implementations for service discovery on wireless networks; 3) On-path content delivery networks and a new distributed CDN architecture; 4) Research prototypes for content-centric networking.
This document is a final report for the Advanced Radio Transmission Experimental Michigan Satellite (ARTEMIS) project. It provides an overview of the mission requirements and design drivers for the subsystems of the ARTEMIS CubeSat. The report describes the preliminary analyses and simulation tools used to evaluate the performance of the satellite's orbits, communication system, propulsion system, electrical power system, attitude determination and control system, command and data handling system, structures, thermal control system, and guidance system.
This document provides the source code documentation for an iPDC Phasor Data Concentrator. It describes the general working of the iPDC, including adding and removing data sources and destinations, turning data transmission on and off, and requesting configuration frames. It then documents the source code files and functions for the iPDC and associated DBServer and PMU simulator.
Design & implementation of phasor data concentrator compliant to ieee c37.118...Nitesh Pandit
The use of synchrophasors for monitoring and improving the stability of power transmission networks is gaining in significance all over the world. The aim is to monitor the system state, to intensify awareness for system stability and to make optimal use of existing lines. This way, system stability can be improved overall and even the transmission performance can be increased. The data from so many PMU’s and PDC’s needs to be collected and directed to proper channels for its efficient use. Thus we need to develop an efficient, flexible and hybrid data concentrator that can serve this purpose. Besides accepting the data from PMU’s, PDC should be able to accept the data also from other PDC. We have designed such a PDC (iPDC) that accepts data from PMU & PDC that are IEEEC37.118 standard compliant.
WAMS architecture with iPDC and PMU at different levels. This architecture enables iPDC to receive data either from a PMU or other iPDC. Both PMU and iPDC from whom the data is being received should be IEEE C37.118 synchrophasor standard compliant. It is hybrid architecture.
iPDC Design
The client server architecture is common in networks when two peers are communicating with each other. Of the two peers (PMU and iPDC) that are communicating with each other in WAMS one acts as a client and the other as a server. Since PMU saves the requests coming
from iPDC by sending data or configuration frames it acts as a server. It listens for command frames from iPDC. PMU-iPDC communication can be either over TCP or UDP communication protocols. On receiving command frames, PMU replies to the iPDC with data or configuration frames according to the type of request.
iPDC functionality is bifurcated as server and client. iPDC as a Client - When iPDC receives data or configuration frames its acts as a client. When acting as a client, it creates a new thread for each PMU or a PDC from whom it is going to receive data/configuration frames. This thread would establish connection between the two communication entities. It handles both TCP and UDP connections. The first frame that the server (PMU/PDC) would receive is the command for sending the configuration frame. When the server replies with the configuration frame, iPDC (client) would generate another request to start sending the data frames. On receiving
such a command frame, the server starts sending the data frames. If there is some change in the status bits of data frame which the client (iPDC) notices, it would take an action. For example if it notices a bit 10 has been set, it would internally send a command to server to send the latest configuration frame.
iPDC as a Server- When iPDC receives command frames from another PDC it would acts as a server. There would be two reserved ports one for UDP and other for TCP on which the PDC would receive command frame requests. Thus PDC now plays the role of PMU waiting
for command frames.
Introduction of wide area mesurement syatemPanditNitesh
This document summarizes a seminar presentation on Wide Area Measurement Systems (WAMS). WAMS uses Phasor Measurement Units (PMUs) synchronized by GPS to monitor power grids. PMUs measure voltage and current phasors, while Phasor Data Concentrators (PDCs) collect and process data from multiple PMUs. The seminar discusses the components of WAMS including PMUs, PDCs, and communication protocols. It also reviews several implementations of WAMS and their applications in monitoring the electric grid.
This document provides an introduction and overview of Cassandra and NoSQL databases. It discusses the challenges faced by modern web applications that led to the development of NoSQL databases. It then describes Cassandra's data model, API, consistency model, and architecture including write path, read path, compactions, and more. Key features of Cassandra like tunable consistency levels and high availability are also highlighted.
This document describes the design and implementation of a Phasor Data Concentrator (PDC) compliant with the IEEE C37.118 synchrophasor standard for use in a Wide Area Measurement System. It presents the features of the implemented PDC (iPDC) including support for TCP/UDP communication, authentication and integrity checking of received data frames, local data storage, and a GUI. It also discusses the iPDC design including handling of different frame types, time alignment of data, and database storage. Experimental results demonstrate the iPDC's performance in various test cases.
Wide area measurements (synchrophasor measurements) in Power SystemsNaila Syed
The document discusses wide area measurement systems (WAMS) which are used to monitor India's electricity grid. WAMS take synchronized phasor measurements from across the grid using phasor measurement units (PMUs) and transmit the data to control centers. This provides operators wide area situational awareness to improve stability. Currently there are about 60 PMUs providing data but larger scale deployment is needed to maximize benefits. WAMS combines metering with communication to acquire synchronized phasor data, transmit it, and process it to monitor the grid at a high level of granularity.
This document provides an introduction to the Python programming language. It begins with an overview of Python's history and development timeline. It then discusses Python's key features such as being high-level, interpreted, object-oriented, and having extensive libraries. The document outlines Python's main programming paradigms and discusses its growing popularity. It provides details on getting started with Python, different integrated development environments (IDEs), and Python basics like variables, data types, operators, and input/output. The document also covers Python syntax and structures such as control flow, functions, classes, and exceptions handling.
This document is the user guide for the airCam security camera. It describes the camera's hardware components, provides instructions for installation both indoors and outdoors, and explains how to use the camera configuration interface to adjust settings for video, network, services, and system configuration. The guide also includes specifications, safety notices, warranty information, and compliance details.
This document is a doctrine manual that provides instructions on how to get started with doctrine, including requirements, installation methods, starting new projects, creating tables, generating models, auto loading models, using the command line interface, and a tutorial on creating a basic project with users. It also covers connecting to databases, managing connections, basic schema mapping including table and class naming, table and column options, and data types.
B7.2 a1353-ra platform commissioning solaris 2.6chungminh1108
This document provides instructions for commissioning an Alcatel BSS B7.2 - A1353-RA Platform using Solaris 2.6. It describes installing the operating system, third party software and patches, and customizing the platform. The document outlines prerequisites, required tasks including installing software from multiple CDs, updating firmware, declaring the machine on the network, and configuring optional features. It also includes appendices with details on specific tasks like updating firmware and flashprom releases.
This document is the user's guide for the SmartClass Ethernet Tester. It contains information about features and capabilities, preparation for use, navigating the user interface, instrument settings, and Ethernet testing functions. The guide includes sections on exploring the front panel, powering the tester on and off, menu screens, data entry, results screens, and using the keypad. It also provides instructions for cable diagnostics, optical power measurement, initializing links, and specifying settings for Ethernet and payload tests.
This document is the user's guide for the SmartClass Ethernet Tester. It contains information about features and capabilities, preparation for use, navigating the user interface, instrument settings, and Ethernet testing functions. The guide includes sections on exploring the front panel, powering the tester on and off, menu screens, data entry, test results, and specific tests for cable diagnostics and Ethernet.
Cisco routers for the small business a practical guide for it professionals...Mark Smith
This document provides a guide for configuring Cisco routers for small businesses. It discusses connecting to the router through the console port and navigating the command line interface. It then covers configuring the router by setting the hostname, IP addresses for LAN and WAN interfaces, enabling DHCP services, and setting security parameters like passwords. The goal is to provide IT professionals with the knowledge needed to get a Cisco router up and running for a small business network.
This document is the user manual for HDClone, a software program for copying, backing up, migrating, and rescuing hard disks. It provides instructions on installing HDClone, supported hardware, and using the program. Key features covered include copying disks while the system is running, creating disk images, and duplicating master system installations.
Ngen mvpn with pim implementation guide 8010027-002-enNgoc Nguyen Dang
This document provides guidance on implementing an NGEN Multicast Virtual Private Network (MVPN) using Protocol Independent Multicast (PIM) on a Juniper Networks network. It describes the network topology, hardware, software, and configuration steps used for validation. The configuration sections cover enabling PIM on core and provider edge routers, configuring inet-mvpn for IBGP sessions, enabling MVPN for individual VPN instances, and associating provider tunnels. Validation is done through checking the control and data plane operation, including PIM states and multicast traffic flows.
This document provides a user's guide for the VisiTECH Data Acquisition Package. It introduces the package and describes system requirements, licensing, installation, directory structure, and abbreviations. It also outlines the various configuration dialogs for setting up device communication, protocols, tags, alarms and events. Finally it details the different views for data presentation and reporting functions.
This document describes the Embedded Filesystem Library (EFSL), which provides filesystem functionality for embedded systems. It allows accessing files stored on various storage devices from different microcontroller families. The document explains how to set up and compile EFSL for Linux, AVR, DSP and ARM microcontrollers. It provides examples and describes the EFSL API functions for opening, reading, writing and managing files and directories. It also gives notes for EFSL configuration and developing for new hardware targets.
This user guide provides information about the R12 Tablet PC and its optional features. It describes the tablet's hardware components including front, back, sides and pen. It provides steps for initial setup and use including powering on, connecting to WiFi, locking/unlocking the screen, and using sleep/hibernate modes. It also describes the included Motion Computing applications and tablet settings that can be configured.
The document is an installation guide for the Door Processor Unit 7910A. It provides instructions on installing input and output cables for door readers, switches, and locks. It also describes how to connect power sources, address the unit, and set up reader inputs and LED indicators. The guide includes details on supported reader technologies and configuration options for the DPU-7910A system.
인터맥산업용PC Intermec CV61 12.1인치 차량탑재용 산업용패널PC 매뉴얼HION IT
인터맥 CV61은 차량탑재 (지게차 또는 자동차) 모바일 컴퓨터 중에 하나입니다.
강력한 64 비트 1.8GHz 인텔 ® 아톰 프로세서가 적용된 CV61은 Windows 7 Professional 또는 Windows XP 운영 체제 중에서 선택할 수 있습니다.
또한 CV61은 메모리를 많이 차지하는 ERP 및 창고관리시스템 (WMS) 을 지원하기 위해 최대 3GB RAM을 제공합니다.
드롭 인 교체가 쉽고 경제적입니다.
현재 인터맥 CV60 차량 탑재 컴퓨터를 사용중인 경우 CV61은 가장 빠르고 쉬운 마이그레이션 경로를 제공합니다.
CV60 마운팅, 케이블 링, 키보드, 트레이, 스캐너 및 프린터와 호환되도록 설계된 CV61은 비용과 설치 시간을 절약 해줍니다.
내장 된 9-60 VDC 전원 공급 장치는 설치 비용을 낮추고 지게차 배터리가 고장 나더라도 백업을 제공합니다. 옵션으로 제공되는 외부 고전압 및성에 제거 장치 전력 변환기는 물론 기존 CV60 전력 변환기와 함께 사용할 수있는 어댑터 케이블도 제공됩니다.
또한 IT 관리자는 사용자 관리, 보안, 안티 바이러스, 방화벽, 그룹 정책 및 소프트웨어 업데이트를위한 표준 엔터프라이즈 PC 관리 도구를 지원하므로 CV61을 사용하기가 쉽습니다. CV61 옵션 인 Intermec Client Pack 터미널 에뮬레이션 및 산업용 브라우저 소프트웨어는 창고관리시스템 (WMS) 에 빠르고 안정적이며 안전한 연결을 제공합니다. 또한 Intermec 개발자 툴킷을 사용하면 다중 장치 환경에서 응용 프로그램 소프트웨어를 마이그레이션하는 데 드는 시간을 절약 할 수 있습니다.
CV61은 편안하고 친숙하며 쉽게 습득 할 수 있습니다. 매우 밝은 12.1 인치 터치 스크린 디스플레이는 희미하게 빛나는 창고 환경과 햇빛이 비치는 야외에서 쉽게 읽을 수 있습니다. 터치 스크린과 견고한 외부 백라이트 키보드는 장갑을 낀 손으로 쉽게 데이터를 입력 할 수 있도록 설계되었습니다.
안정적인 성능
CV61은 네트워크 보안, 관리 시스템 및 회사 표준과 통합되도록 설계되었습니다.
포괄적 인 네트워크 옵션으로는 시스코® CCXv4 인증을 갖춘 802.11 a / b / g / n과 낮은 신호 레벨을 경험할 수있는 지역에서도 동급 최고의 무선 범위, 로밍 안정성 및 보안을위한 통합 EDR 2.1 Class 1.5 블루투스®가 포함됩니다. 간헐적인 연결. 또한 CV61은 Intermec의 Vocollect VoiceCatalyst ™로 핸즈프리 음성 작업의 정확성, 생산성 및 안전성을 제공합니다.
극한의 온도에 견디도록 제작 된 CV61은 -20 ° C ~ + 50 ° C (-4 ° F ~ + 122 ° F)에서 작동하며 냉장 보관 및 냉동실 환경을 위해 옵션으로 제공되는 터치 스크린 디프 로스터 (-30 ° C까지 -22F).
IP66 등급은 방진 및 압력 세척 기능을 통해 하드웨어를 보호하며 사용자가 교체 할 수있는 SSD (Solid State Disk) 스토리지는 가혹하고 진동이 심한 환경에서도 데이터 무결성을 유지합니다.
CV61과 호환되는 Intermec SR61 제품군의 산업용 핸드헬드 바코드 스캐너를 사용하여 작업배정, 위치확인, 로트추적을 하거나 예외적인 관리를 할 수 있습니다. 온도 변화, 낙하, 먼지 및 날씨와 같은 거친 현실을 견딜 수 있도록 설계되었습니다. 여분의 장거리 스캐닝을위한 옵션이있어 작업자가 지게차의 자리를 떠나지 않고 멀리서도 스캔 할 수 있으며 테더형 또는 블루투스 모델 중 하나에서 사용할 수 있습니다.
PHYSICAL CHARACTERISTICS
Dimensions : 높이: 27.4cm (10.8”) x 폭: 34.3cm (13.5”) x 깊이: 8.4cm (3.3”)
Weight : 5.2 kg (11.5 lbs)
Display : 12.1”, XGA 1024x768, LED backlit
PERFORMANCE CHARACTERISTICS
CPU : Intel® Atom 64-bit D425 1.8GHz
Operating System : Choice of Microsoft Windows® 7 Professional or Windows XP Professional
Memory :
Standard 1GB DDR2 for Windows XP
tandard 2GB DDR2 for Windows 7
User-upgradeable up to 3GB memory total
WIRELESS COMMUNICATIONS
Wireless LAN : 802.11a/b/g/n
Security : WIFI Certified; WPA and WPA2 Security
Authentication : 802.1x
Cisco Compatibility : CCXv4 Certified
Antenna : Dual internal MIMO antennas or optional external primary antenna with auto-sensing feature
Bluetooth : Integrated Bluetooth 2.0+EDR, Class 1.5 (30m range)
INTERFACE
2 USB 2.0 ports with locking breakout cable, 2 RS-232 COM ports with +5V power, CAN-BUS port,
Mic/ Headset port, Stereo Speaker output, DC power input, WiFi primary antenna port with auto-sensing,
RJ45 10/100 Ethernet port, Legacy PS/2 keyboard input
>하이온아이티
주소 : 서울 금천구 가산디지털2로 165, 1304호 (백상스타타워2차)
대표번호 : 02-2038-0018 / 이메일 : hion@hionit.com
홈페이지 : http://hionsmart.com
This document is the user's guide for version 0.5.0-dev of OpenOCD, dated January 4, 2011. OpenOCD is an open source tool that supports on-chip debugging of embedded systems using JTAG or SWD interfaces. The guide provides information on OpenOCD developer resources, supported debug adapter hardware, running OpenOCD, configuring OpenOCD projects, writing configuration files, daemon configuration, and more. It is licensed under the GNU Free Documentation License.
This document is a user guide for the LSI SAS2 Integrated RAID solution. It describes the benefits of the integrated RAID solution such as host interface support, metadata support, SMART support, and Fusion-MPT support. It also provides overviews of how mirrored volumes operate and their key features like resynchronization, hot swapping, hot spares, online capacity expansion, and more. The document includes steps for creating mirrored volumes, managing hot spare disks, and other administrative tasks.
This document is the user's manual for sqlmap, an open source penetration testing tool that automates the process of detecting and exploiting SQL injection flaws and taking over database servers. The manual provides information on installing and using sqlmap, including requirements, basic usage, supported features, techniques, and numerous configuration options for optimization, injection, detection, enumeration and brute forcing capabilities.
This document outlines the goals and requirements for Project 3, which involves writing a kernel from scratch. It discusses hardware primitives, the boot process, device drivers, context switching, scheduling, system calls, building and loading user programs, the programming environment, hints for implementing a kernel, and debugging strategies. The project involves implementing an operating system kernel that supports interrupts, scheduling, and basic system calls.
This document is a user guide for the CV41 vehicle mount computer running Windows CE. It provides information about operating and maintaining the computer such as attaching and removing it from the mounting dock, using accessories like the touchscreen and keypad, connecting power and antennas, transferring files, and understanding the user interface and included applications. The guide also describes how to manage the computer within a network using Intermec's SmartSystems Foundation software and how to develop and install custom applications.
Best 20 SEO Techniques To Improve Website Visibility In SERPPixlogix Infotech
Boost your website's visibility with proven SEO techniques! Our latest blog dives into essential strategies to enhance your online presence, increase traffic, and rank higher on search engines. From keyword optimization to quality content creation, learn how to make your site stand out in the crowded digital landscape. Discover actionable tips and expert insights to elevate your SEO game.
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
Pushing the limits of ePRTC: 100ns holdover for 100 daysAdtran
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!SOFTTECHHUB
As the digital landscape continually evolves, operating systems play a critical role in shaping user experiences and productivity. The launch of Nitrux Linux 3.5.0 marks a significant milestone, offering a robust alternative to traditional systems such as Windows 11. This article delves into the essence of Nitrux Linux 3.5.0, exploring its unique features, advantages, and how it stands as a compelling choice for both casual users and tech enthusiasts.
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
Programming Foundation Models with DSPy - Meetup SlidesZilliz
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
Maruthi Prithivirajan, Head of ASEAN & IN Solution Architecture, Neo4j
Get an inside look at the latest Neo4j innovations that enable relationship-driven intelligence at scale. Learn more about the newest cloud integrations and product enhancements that make Neo4j an essential choice for developers building apps with interconnected data and generative AI.
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
HCL Notes and Domino License Cost Reduction in the World of DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?Speck&Tech
ABSTRACT: A prima vista, un mattoncino Lego e la backdoor XZ potrebbero avere in comune il fatto di essere entrambi blocchi di costruzione, o dipendenze di progetti creativi e software. La realtà è che un mattoncino Lego e il caso della backdoor XZ hanno molto di più di tutto ciò in comune.
Partecipate alla presentazione per immergervi in una storia di interoperabilità, standard e formati aperti, per poi discutere del ruolo importante che i contributori hanno in una comunità open source sostenibile.
BIO: Sostenitrice del software libero e dei formati standard e aperti. È stata un membro attivo dei progetti Fedora e openSUSE e ha co-fondato l'Associazione LibreItalia dove è stata coinvolta in diversi eventi, migrazioni e formazione relativi a LibreOffice. In precedenza ha lavorato a migrazioni e corsi di formazione su LibreOffice per diverse amministrazioni pubbliche e privati. Da gennaio 2020 lavora in SUSE come Software Release Engineer per Uyuni e SUSE Manager e quando non segue la sua passione per i computer e per Geeko coltiva la sua curiosità per l'astronomia (da cui deriva il suo nickname deneb_alpha).
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
1. iPDC
Phasor Data Concentrator
User Manual
by
Kedar Khandeparkar
&
Nitesh Pandit
under the guidance of
Prof. A.M. Kulkarni
Indian Institute of Technology, Bombay
2. We would like to express my sincere thanks and gratitude to Prof. A.M. Kulkarni,
Prof. V.Z. Attar & Prof. S.U. Ghumbre for the constant motivation and valuable guidance
they provided us throughout the course of the project. We am highly indebted to them for
giving us this opportunity to work under them for this M.Tech project, and also clarifying
our doubts and for bringing into perspective, the dierent aspects of the project topic.
They constantly encouraged us by giving suggestions and criticisms on our work. Working
under them has been a great learning experience for us.
i
6. 1 How to use iPDC
1.1 Start iPDC
Installation of iPDC is given in README le. After installing iPDC, open a terminal,
switch to the iPDC folder and type iPDC to start the application. The user will get
iPDC Setup window along with the main window. User need to ll the iPDC details.
The screenshots of this operation are given below.
iPDC Setup
Figure 1: iPDC Setup
2
8. 1.2 Add a Source Device
ToolTip
The tooltip gives the details of the operation performed by a button. In order to add a
Source Device the mouse pointer is moved to Add Source Device button.
Figure 3: Tooltip
4
9. Add Source Device Window
On clicking the Add a Source Device button, the user will be prompted with a window.
The screenshot of the same is given below. User has to ll the elds with proper values.
Figure 4: Add Source Device
5
11. UnSucessfull Operation
If the values are not entered properly then the user will be prompted with an error window.
Some of the errors messages are Please enter valid value for device ID code, Please enter
valid IP Address, etc.
Figure 6: Add Source Device Error
7
12. 1.3 Remove a Source Device
Remove Source Device Window
On clicking the Remove a Source Device button, the user will be prompted with a
window. The screenshot of the same is given below. User has to enter the IDcode and
protocol of the Source device to be removed.
Figure 7: Remove Source Device
8
13. Unsuccessfull remove operation
If the user enters wrong values in the elds, then remove operation will fail and user will
be prompted with an error window. Remove operation fails if the values entered do not
exist.
Figure 8: Remove Source Device Error
9
14. 1.4 Turn OFF the data Transmission
User may require to explicitly turn o the data transmission of a Source device. On
clicking Turn OFF the data Transmission button, the user will be prompted with a
window. The screenshot of the same is given below. User has to enter the IDcode and
protocol of the Source device whose data transmission is to be put o.
Figure 9: Data Transmission OFF
10
15. 1.5 Turn ON the data Transmission
In order to restart the previously turned o data transmission of a source device user
has to click Turn ON the data Transmission button. The user is prompted with a
window which displays the details of Source devices whose data transmission is turned
o. When user enters the correct values the data transmission restarts.
Figure 10: Data Transmission ON
11
16. 1.6 Request Conguration frame
User may require to explicitly send a request to get latest Conguration frame of a Source
device. On clicking Request Conguration frame button, the user will be prompted
with a window. The screenshot of the same is given below. User has to enter the IDcode
and protocol of the Source device to whom conguration frame request is to be sent.
Figure 11: Conguration Request
12
17. 1.7 Add a Destination Device
Once we click the Add a Destination Device button, the user will be prompted with a
window. The screenshot of the same is given below. User has to ll the elds with proper
values. The destination device is the one whom the iPDC sends the combined data and
conguration frames.
Figure 12: Add Destination Device
13
18. 1.8 Remove a Destination Device
To remove a previously added Destination device user has to click Remove a Destina-
tion Device button. On entering the correct values the device will be removed.
Figure 13: Remove Destination Device
14
19. 1.9 iPDC Connection Table
To view the details of Source Destination Devices to which iPDC is connected user has
to click iPDC Connection Table button.
Figure 14: Connection Table
15
20. 1.10 iPDC Details
To view the iPDC details user has to click iPDC Details in the menu tab.
Figure 15: iPDC Details
16
21. 2 DBServer
Installation of DBserver can be seen in README le. If the data from Source devices need
to be stored in MySQL database then user has to install DBServer. Before running iPDC
application, user has to run DBServer. Details of how to run DBServer are mentioned
in README. It is a UDP server listening on xed port 9000 on which it would receive
the data from iPDC. MySQL database need to be pre-congured and database and tables
should be created from le db.sql.
17
22. 3 How to use PMU Simulator
3.1 Start PMU Simulator
Installation of PMU Simulator is given in README le. After installing PMU Simula-
tor, open a terminal, switch to the PMU Simulator folder and type PMU to start the
application. The user will get PMU Setup window along with the main window. User
need to ll the PMU Server details. The screenshot of this operation is given below.
PMU Server Setup
Figure 16: PMU Server Setup
18
23. 3.2 Create Conguration Setup
ToolTip
The tooltip gives the details of the operation performed by a button. In order to create
conguration frame for PMU the mouse pointer is moved to Create Conguration
Frame button.
Figure 17: tooltip
19
24. Dene PMU Conguration
def: A conguration frame is a machine-readable BINARY data set containing informa-
tion and processing parameters for the PMU and the current real-time data set.
On clicking the Create Conguration Frame button, the user will be prompted with a
window. The screenshot of the same is given below. User has to ll the elds with proper
values. The Conguration Frame will generated as per the IEEE C37.118 standard.
Figure 18: Conguration Details
20
25. Add Phasor Channels
On clicking the Next button on PMU Conguration Setup Window, the user will be
prompted with a new window. The screenshot of the same is given below. User has to
ll the phasor channel names properly.
Figure 19: Phasor Channel Names
21
26. Add Analog Channels
On clicking the Next button on Phasor Channels Window, the user will be prompted
with a new window. The screenshot of the same is given below. User has to ll the analog
channel names properly (if any).
Figure 20: Analog Channel Names
22
27. Add Digital Channels
On clicking the Next button on Analog Channels Window, the user will be prompted
with a new window. The screenshot of the same is given below. User has to ll the digital
channel names properly (if any).
Figure 21: Digital Channel Names
23
29. 3.3 Header Frame Generation
def: This frame shall be human readable information about the PMU, the data sources,
scaling, algorithms, ltering, or other related information.
On clicking the Header Frame Generation button, the user will be prompted with
a window. The screenshot of the same is given below. User has to enter the PMU de-
tails properly as per above denition. The Header Frame will generated as per the IEEE
C37.118 standard.
Figure 23: Header Frame
25
30. 3.4 View PMU Details
User can view the PMU server and conguration details by clicking View Conguration
Details button.
Figure 24: PMU Details
26
31. 3.5 Update Conguration
On clicking the Update Conguration button, the user will be prompted with a win-
dow. The screenshot of the same is given below.
Figure 25: STAT change options
27
32. STAT Change
The STAT word bits can be changed by clicking any of the buttons on Conguration
Modication Window. There is a separate button for some of the bits in STAT word
whose details can be found in the IEEEC37.118 Synchrophasor Standard. The screenshot
of the same is given below.
Figure 26: STAT Changed
28
33. Conguration Change Bit
On clicking the Set Conguration Change Bit button, the user will be prompted with
a new window. The screenshot of the same is given below. User has to select one of the
options.
Figure 27: Set Conguration Change Bit
29
34. Add Channels
If user clicked on the Add Channels.
Add New Phasor
After selecting the Add Channels user will be prompted with a new window. The screen-
shot of the same is given below. User has to ll the number of new phasor to be added.
It could be zero also.
Figure 28: New Phasors
30
35. New Phasor Channel Names
On clicking the Next button, the user will be prompted with a new window. The screen-
shot of the same is given below. User has to ll the new phasor channel names properly
(if new phasor num zero).
Figure 29: New Phasor Channel Names
31
36. Add New Analogs
On clicking the Next button, the user will be prompted with a new window. The screen-
shot of the same is given below. User has to ll the number of new analogs. It could also
be zero.
Figure 30: New Analogs
32
37. New Analog Channel Names
On clicking the Next button, the user will be prompted with a new window. The screen-
shot of the same is given below. User has to ll the new analog channel names properly
(if new analog num zero).
Figure 31: New Analog Channel Names
33
38. Remove Channels
If user clicked on the Remove Channels.
Remove Phasors
After selecting the Remove Channels user will be prompted with a new window. The
screenshot of the same is given below. User has to ll the phasor number of phasors to
be removed and it should be within the range of available number of phasors.
Figure 32: Remove Phasors
34
39. Remove Analogs
On clicking the Next button, the user will be prompted with a new window. The screen-
shot of the same is given below. User has to ll the number of analogs to be removed and
it should be within the range of available number of analogs.
Figure 33: Remove Phasors
35
40. Data Rate Change Option
After performing the add or remove channels operation user will be prompted with a new
window. The screenshot of the same is given below. User has to select the option for
Data Rate.
Figure 34: Data Rate Change Option
36
41. New Data Rate
On clicking the YES on PMU Data Rate window, the user will be prompted with a new
window. The screenshot of the same is given below. User has to select the new data rate
from the drop down box.
Figure 35: New Data Rate
37
42. Successfull Conguration Modication
On clicking the Next on New Data Rate window or NO on PMU Data Rate window, the
user will be prompted with a new window. The screenshot of the same is given below. Its
shows the conguration frame successfully modied and respectively STAT bit changed.
Figure 36: Conguration Change Bit Set
38
43. 3.6 Exit PMU
User can terminate the PMU Simulator by clicking on the PMU Quit button.
Figure 37: Exit PMU
39