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Processing streaming data
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Part 2 book "Chemical process design and integration" includes content: Distillation sequencing for azeotropic distillation, heat exchange, pumping and compression, continuous process recycle structure, heat exchanger networks I – network targets, continuous process simulation and optimization, heat exchanger networks II – network design, batch processes, heat exchanger networks III – stream data, heat integration of reactors.
316p
muasambanhan08
01-03-2024
2
1
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Part 2 book "Information processing in medical imaging" includes content: Imaging brain activation streams from optical flow computation on 2 riemannian manifolds, high level group analysis of FMRI data basedon dirichlet process mixture models, insight into efficient image registrationtechniques and the demons algorithm, divergence based framework for diffusion tensorclustering, interpolation and regularization,... and other contents.
382p
muasambanhan07
20-02-2024
2
0
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Part 1 of ebook "Kafka: The definitive guide - Real-time data and stream processing at scale" provides readers with contents including: meet Kafka; installing Kafka; Kafka producers - writing messages to Kafka; Kafka consumers - reading data from Kafka; managing apache Kafka programmatically; Kafka internals; reliable data delivery; exactly-once semantics;...
231p
tieulangtran
28-09-2023
2
1
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Continued part 1, part 2 of ebook "Kafka: The definitive guide - Real-time data and stream processing at scale" provides readers with contents including: building data pipelines; cross-cluster data mirroring; securing Kafka; administering Kafka; monitoring Kafka; stream processing; installing Kafka on other operating systems; additional Kafka tools;...
255p
tieulangtran
28-09-2023
9
3
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Changes in surface water might result in natural disasters such as floods, water shortages, landslides, waterborne diseases, which lead to loss of lives. Timely extracting for surface water and predicting its movement is essential for planning activities and decision-making processes.
18p
vimulcahy
18-09-2023
7
3
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The increasing complexity of data streams and computational processes in modern clinical health information systems makes reproducibility challenging. Clinical natural language processing (NLP) pipelines are routinely leveraged for the secondary use of data. Workflow management systems (WMS) have been widely used in bioinformatics to handle the reproducibility bottleneck.
12p
vighostrider
25-05-2023
2
2
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Ebook Java, Java, Java: Object-Oriented problem solving (Third edition) - Part 2 include of the following topics: Chapter 9 Arrays and Array Processing; Chapter 10 Exceptions: When things go wrong; Chapter 11 Files and Streams: Input/Output Techniques; Chapter 12 Recursive Problem Solving; Chapter 13 Graphical User Interfaces; Chapter 14 Threads and Concurrent Programming; Chapter 15 Sockets and Networking; Chapter 16 Data Structures: Lists, Stacks, and Queues.
448p
runthenight03
07-12-2022
25
6
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Lecture Data mining: Lesson 19. The main topics covered in this chapter include: data stream mining and querying; data streams - computation model; data stream processing algorithms; probabilistic guarantees; computing stream sample; cash-register model;... Please refer to the content of document.
27p
tieuvulinhhoa
22-09-2022
9
4
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The cross-sectional research method was used to analyze the shape of the upper body of middle-aged men. The 3D anthropometric measurements data was collected from 378 different men aged 30-60 in HCMC by using the 3D Size Stream Body Scanner. Later the data was processed by statistical probability math and SPSS 25 software.
5p
vimelindagates
18-07-2022
11
4
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Part 1 of book "Distributed systems: Principles and Paradigms (Second Edition)" provide students with knowledge about: definition of a distributed system; architectural styles; self-management in distributed systems; client-side software for distribution transparency; message-oriented communication; stream-oriented communication;...
339p
britaikridanik
05-07-2022
28
4
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In this paper, for the first time, a novel discretization scheme is proposed aiming at enabling scalability but also at least three other strong challenges. It is based on a Left-to-Right (LR) scanning process, which partitions the input stream into intervals.
22p
redemption
20-12-2021
16
6
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This paper presents a novel method for data stream clustering. In this context, major challenges of data stream processing are addressed, namely, innite length, concept drift, novelty detection, and feature evolution.
34p
redemption
20-12-2021
8
0
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The present study, it concluded that remote sensing techniques (ASTER–DEM) coupled with GIS can be a powerful tool in morphometric analysis of a region or basin and the data can be used for hydrological studies and water resource management. In the present study the liner and areal aspect parameters were calculated. The major parameters were Drainage density, stream order and Bifurcation ratio were play major role for hydrological processing and the values were, 0.58, 1-5 th order and 4 respectively.
7p
gaocaolon9
22-12-2020
18
2
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Chapter 23 - Process-to-process delivery: UDP, TCP, and SCTP. Chapter 23 discusses three transport layer protocols in the Internet: UDP, TCP, and SCTP. The first, User Datagram Protocol (UDP), is a connectionless, unreliable protocol that is used for its efficiency. The second, Transmission Control Protocol (TCP), is a connection-oriented, reliable protocol that is a good choice for data transfer. The third, Stream Control Transport Protocol (SCTP) is a new transport-layer protocol designed for multimedia applications.
89p
koxih_kothogmih5
01-09-2020
19
2
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Quantification of mass flows in production lines and waste treatment lines, as well as quantification of energy consumption at a factory is always challenges in cleaner production and pollution control decision making. The case study has conducted at a representative steel making complex in Vietnam, simulating the material flows of water and waste streams, and energy balance (EB) for water production and wastewater treatment processes, by using STAN (subSTance flow ANalysis) and SANKEY software, respectively.
13p
angicungduoc5
13-06-2020
39
0
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Youth are the most potent segment of the population of a country. The youth of today are the hopes of tomorrow. They are the real spirit for future agriculture of the country. Forces that shape and influence youth today will be the forces that dominate our country tomorrow. Youth look not only for a livelihood, but for dignity and for purpose and meaning in their lives. Youth make up approximately one-fifth of the total population in many countries in developing and emerging economy regions.
5p
cothumenhmong3
22-02-2020
21
0
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This research is located within the smart city discourse and explores the linkage between smart buildings and an intelligent community, employing the University of Cape Town as a case study. It is also situated within the research stream of Green Information Systems, which examines the confluence between technology, people, data and processes, in order to achieve environmental objectives such as reduced energy consumption and its associated carbon footprint.
9p
kequaidan1
05-11-2019
21
0
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In chapter 14 you will learn: To create, read, write and update files; to use class File to retrieve information about files and directories; the Java input/output stream class hierarchy; the differences between text files and binary files; sequential-access and random-access file processing; to use classes Scanner and Formatter to process text files; to use the FileInputStream and FileOutputStream classes.
82p
shiwo_ding8
29-06-2019
19
1
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This article proposes BDAaaS, a flexibly adaptive cloud-based framework for real-time Big Data analytics. The framework collects and analyzes data for IoT applications reusing existing components such as IoT gateways, Message brokers and Big Data Analytics platforms which are deployed automatically.
12p
vixyliton2711
17-04-2019
36
3
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This paper presents an online bearing damage identifying method named ASBDIM based on ANFIS (Adaptive Neuro-Fuzzy Inference System), Singular Spectrum Analysis (SSA) and sparse filtering. This is an online estimating process operated via two phases, offline and online one. In the offline period, by using SSA and sparse filtering, a database signed Off DaB is built whose inputs are features extracted from the measured data stream typed big data, while its outputs are values encoding the surveyed bearing damage statuses.
16p
thuyliebe
05-10-2018
47
0
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