National Food Processing Policy aims to address the significant wastage in food production through value addition and efficient processing. The policy highlights the reasons for food processing, including reducing losses in the supply chain and enhancing quality. It emphasizes creating an enabling e

1 views • 19 slides

The Digital Personal Data Protection Act of 2023 aims to regulate the processing of digital personal data while balancing individuals' right to data protection and lawful data processing. It covers various aspects such as obligations of data fiduciaries, rights of data principals, and the establishm

3 views • 28 slides

OBPMark and OBPMark-ML are computational benchmarks developed by ESA and BSC/UPC for on-board data processing and machine learning in space applications. These benchmarks aim to standardize performance comparison across different processing devices, identify key parameters, and provide recommendatio

10 views • 20 slides

Spark Streaming, developed at UC Berkeley, extends the capabilities of Apache Spark for large-scale, near-real-time stream processing. With the ability to scale to hundreds of nodes and achieve low latencies, Spark Streaming offers efficient and fault-tolerant stateful stream processing through a si

0 views • 30 slides

Processing high-volume data in real-time can be achieved efficiently using Azure Databricks, a powerful Apache Spark-based analytics platform integrated with Microsoft Azure. By transitioning from batch processing to structured streaming, you can gain valuable real-time insights from your data, enab

0 views • 23 slides

Data processing systems in Geographic Information Science have evolved from manual, analogue methods to advanced software and hardware components. The incorporation of Geographic Information Systems (GIS) has revolutionized the handling and analysis of geo-referenced data, making tasks like data cap

0 views • 20 slides

Ethiopia stands out as a leader in raw material production for agro-processing industries, offering opportunities in dairy, juice processing, edible oil processing, poultry, beef production, and tomato processing. With abundant resources, suitable climate conditions, and a growing domestic market, E

0 views • 8 slides

Effective selection of raw materials is crucial for ensuring the quality of processed food products. The quality of raw materials directly impacts the final products, making it important to procure materials that align closely with processing requirements. Quality evaluation, including microbiologic

2 views • 30 slides

SIMDRAM introduces a novel framework for efficient computation in DRAM, aiming to overcome data movement bottlenecks. It emphasizes Processing-in-Memory (PIM) and Processing-using-Memory (PuM) paradigms to enhance processing capabilities within DRAM while minimizing architectural changes. The motiva

2 views • 14 slides

The EU General Data Protection Regulation (EU GDPR) is a comprehensive regulation that governs the processing of personal data of individuals in the EU. It came into effect on May 25, 2018, and applies to all organizations handling personal data of EU residents. The regulation includes key definitio

4 views • 21 slides

Recent advancements in digital computers have paved the way for Digital Signal Processing (DSP). The DSP system involves bandlimiting, A/D conversion, DSP processing, D/A conversion, and smoothing filtering. This system enables the conversion of analog signals to digital, processing using digital co

0 views • 24 slides

The Personal Data Protection Bill, 2018 addresses concerns regarding personal privacy amidst advancing technology. It grants rights to individuals and mandates transparency in handling personal information. The Bill stems from the recognition of the right to privacy as fundamental. It defines terms

0 views • 23 slides

The team, including Xin Qian, Chao Zhang, and Brett Viren from BNL, leverages past experience in MicroBooNE to outline a comprehensive work plan for signal processing in ProtoDUNE. Their focus includes managing excess noise, addressing non-functional channels, and evolving signal processing techniqu

1 views • 23 slides

Sampling plays a crucial role in converting continuous-time signals into discrete-time signals for processing. This lecture covers periodic sampling, ideal sampling, Fourier transforms, Nyquist-Shannon sampling, and the processing of band-limited signals. It delves into the relationship between peri

1 views • 60 slides

MapReduce is a powerful paradigm that enables distributed processing of large datasets by dividing the workload among multiple machines. It tackles challenges such as scaling, fault tolerance, and parallel processing efficiently. Through a series of operations involving mappers and reducers, MapRedu

7 views • 32 slides

This unit explores backup processing alternatives, contingency planning, and the importance of selecting and implementing alternate processing support in advance. It emphasizes the need for well-documented strategies to ensure rapid recovery from disruptions in data processing, along with identifyin

1 views • 128 slides

Explore the journey of GNSS data from receiver to processing input, focusing on the motivation behind the Receiver INdependent EXchange (RINEX) format and the evolution from RINEX 2 to RINEX 3. Learn about raw data formats, RINEX file conventions, and the significance of RINEX 2 data format in GPS o

1 views • 15 slides

Revolutionary software aims to assist surgeons in visualizing and enhancing the accuracy of septoplasty procedures. By predicting surgical scissor line-of-cut from training data and generating real-time visualizations of the process, this tool revolutionizes the learning environment for residents in

0 views • 17 slides

Explore the IoT data analytics architecture proposed by Adnan Akbar from the University of Surrey, applicable to diverse real-world scenarios like smart homes in Taipei. Discover how IoT leverages the connection of everyday objects to the internet, enabling remote control of physical environments. D

0 views • 22 slides

The data acquisition system discussed in this content utilizes the Area Detector framework as a versatile processing tool for handling data from various technical subsystems. It covers aspects such as DAQ architecture, high-speed data transfer methods, time-correlated data collection, and usage of A

0 views • 8 slides

Background information on the population census in Indonesia, including details on the history of data processing methods used over the years, locations of data processing centers, flow of documents in the field, processing of documents, data flow in Information Technology, batching system structure

0 views • 17 slides

Sea cucumbers, a valuable delicacy in Asian cuisine, have been harvested in Fiji for centuries due to their rich nutritional profile and health benefits. This study investigates the effects of different harvest and post-harvest processing methods on the quality of bche-de-mer, a dried form of sea cu

0 views • 17 slides

Explore the implementation and benefits of Active-Routing for efficient data processing in memory networks. Motivated by the increasing demands for memory in graph processing and deep learning, this approach aims to reduce data movement, energy consumption, and costs associated with processing large

0 views • 46 slides

Pig Latin is a dataflow language and execution system that simplifies composing workflows of multiple Map-Reduce jobs. This system allows chaining together multiple Map-Reduce runs with compact statements akin to SQL, optimizing the order of operations for efficiency. Alongside Pig Latin, the Hadoop

0 views • 20 slides

Unix Shell commands such as sort, cut, uniq, join, paste, sed, grep, awk, wc, diff, comm, and cat are essential for text processing in bioinformatics. These tools allow seamless manipulation of text data without the need for intermediate files, making file processing efficient and powerful. By pipin

0 views • 19 slides

Rowland NMR Toolkit (RNMRTK) is a comprehensive software platform primarily used for NMR data processing tasks such as running MaxEnt, apodization, DFT processing, linear prediction, and more. It offers a robust set of tools for various processing needs and supports efficient parallel processing. RN

0 views • 17 slides

Transaction Processing Systems (TPS) are vital components in capturing, storing, and processing data generated from various business transactions. They ensure efficient handling of high volumes of data while maintaining accuracy, security, and privacy. TPS operate through automated data entry, batch

0 views • 24 slides

Broad areas of signal processing activities at the Centre of Excellence in Signal Processing include audio, speech, language, medical image processing, computer vision, wireless communications, and machine learning. The center focuses on addressing various challenges in audio/speech recognition, emo

0 views • 17 slides

The demand for healthcare services continues to rise, necessitating the use of Medical Cyber-Physical Systems (MCPS) for high-quality care. Existing medical devices lack precision in alarming and fail to provide diagnostic information about patients' conditions. This project proposes a method to bui

0 views • 12 slides

GAIA is a software framework for nuclear data processing used for transport and criticality safety calculations. It offers features like library QA procedures, validation of neutronic simulations, processing using NJOY wrapper, and making application libraries. The tool can read/write various file f

0 views • 22 slides

Broadband array processing of SH-wave data using superarrays at High Lava Plains (HLP) with a flexible array of 118 broadband stations deployed between 2006-2009. The processing involves transverse component displacement seismograms aligned and normalized to unity on direct-S, and Vespagrams analysi

0 views • 15 slides

Edge computing brings computing closer to the data source, minimizing communication distances between client and server for reduced latency and bandwidth usage. Distributed in device nodes, edge computing optimizes processing in smart devices instead of centralized cloud environments, enhancing data

0 views • 32 slides

Beginning in the mid-2000s, a shift towards multi-processing emerged due to limitations in uniprocessor performance gains. This led to the development of multiprocessors like multicore systems, enabling enhanced performance through parallel processing. The taxonomy of Flynn categories, including SIS

0 views • 46 slides

Erwann Poupard, a Software Ground System Engineer at CNES, Toulouse, France, plays a crucial role in the PEPS data processing architecture. The outline covers PEPS HPSS data storage statistics, current data processing trends, and future plans including PEPS V2 development. Explore PEPS processing ch

0 views • 8 slides

Enhance your camera calibration and post-processing skills with this comprehensive guide. Ensure proper settings and follow step-by-step instructions for accurate results. From unrolling rotation curves to solving motion, this guide covers it all. Utilize tools like auto masking, wand wave data coll

0 views • 15 slides

Metis data processing involves different levels of data calibration and transformation. Level 0 provides uncalibrated data in standard FITS format, while Level 1 includes extra engineering data. Level 2 offers calibrated data with various corrections applied. Level 3 comprises science data derived f

0 views • 8 slides

In this document, Aymeric Sauvageon from CEA/DRF/Irfu/DAp presents a detailed overview of the preprocessing steps involved in data processing from L0 to L1. It covers the definition of L0/L1 and coding, utilization of the database for processing, input file specifications from China, packet content

0 views • 11 slides

Explore the latest developments in robotics with a focus on software integration, remote control functionalities, mechanical design, and ergonomics. From PCB prototypes to RealTime OS implementation, this collection showcases the progress towards efficient and versatile robot control. Stay updated o

0 views • 12 slides

In the HYPACK 2022 Training Event, participants will learn about processing water quality sensor data, ADCP in-situ data, and geodetic parameters. The session covers tools included in HYPACK, changes to streamline workflows, and the Environmental Editor program for loading and processing data. Atten

0 views • 12 slides

This content delves into the preprocessing, computing, post-processing, and analysis of raw XML data for graph-based algorithms. It covers topics such as data ETL, graph analytics, PageRank computation, and identifying top users. Various tools and frameworks like GraphX, Spark, Giraph, and GraphLab

0 views • 8 slides