scholarly journals Real-time Web Search Framework for Performing Efficient Retrieval of Data

2021 ◽  
Vol 45 (1) ◽  
pp. 287-308
Author(s):  
Falah Al-akashi ◽  
Diana Inkpen
Keyword(s):  
Real Time ◽  
Web Search ◽  
Focal Point ◽  
Relevant Information ◽  
Life Cycles ◽  
Specific Information ◽  
Time Data ◽  
Time System ◽  
Real Time System ◽  
Real Time Data

With the rapidly growing amount of information on the internet, real-time system is one of the key strategies to cope with the information overload and to help users in finding highly relevant information. Real-time events and domain-specific information are important knowledge base references on the Web that frequently accessed by millions of users. Real-time system is a vital to product and a technique must resolve the context of challenges to be more reliable, e.g. short data life-cycles, heterogeneous user interests, strict time constraints, and context-dependent article relevance. Since real-time data have only a short time to live, real-time models have to be continuously adapted, ensuring that real-time data are always up-to-date. The focal point of this manuscript is for designing a real-time web search approach that aggregates several web search algorithms at query time to tune search results for relevancy. We learn a context-aware delegation algorithm that allows choosing the best real-time algorithms for each query request. The evaluation showed that the proposed approach outperforms the traditional models, in which it allows us to adapt the specific properties of the considered real-time resources. In the experiments, we found that it is highly relevant for most recently searched queries, consistent in its performance, and resilient to the drawbacks faced by other algorithms

scholarly journals Real Time Data Logging of Different Parameters of Airjet Looms

2019 ◽  
Vol 8 (6) ◽  
pp. 2304-2306
Keyword(s):  
Wireless Communication ◽  
Real Time ◽  
Manufacturing Industry ◽  
Data Logging ◽  
Time Data ◽  
Time System ◽  
Real Time System ◽  
Air Jet ◽  
Real Time Data ◽  
Recorded Data

Real time data logging of different parameters of Air jet looms should be implemented to reduce the time-consuming method in the textile manufacturing industry. Implementation area of this system is a reduction of efforts and errors done by workers in the textile looms. Existing system is not able to give real time data required by the user at the required time. This system actually keeps record of different stoppages that leads to break the continuity of the machine and hence reduces the machine efficiency. This is a real time system in which wireless communication is used to transfer the recorded data to user’s computer. This recorded detail in turn is transmitted to the PC of the user to do further computation of wages of the worker and manage their work efficiency. This is a real time system in which wireless communication is used to transfer the recorded data to user’s computer as well as on mobile phone. This will provide an additional facility of monitoring the working condition of machine whether it is proper or not and thus user can also keep watch on the workers.

The Real-Time Data Management System for Argo Profiling Float Observations

2007 ◽  
Vol 24 (9) ◽  
pp. 1608-1628 ◽  
Author(s):  
Claudia Schmid ◽  
Robert L. Molinari ◽  
Reyna Sabina ◽  
Yeun-Ho Daneshzadeh ◽  
Xiangdong Xia ◽  
...  
Keyword(s):  
Quality Control ◽  
Data Management ◽  
Real Time ◽  
Time Data ◽  
Time System ◽  
Real Time System ◽  
The Real ◽  
Argo Floats ◽  
Real Time Data ◽  
Argo Profiles

Abstract Argo is an internationally coordinated program directed at deploying and maintaining an array of 3000 temperature and salinity profiling floats on a global 3° latitude × 3° longitude grid. Argo floats are deployed from research vessels, merchant ships, and aircraft. After launch they sink to a prescribed pressure level (typically 1000–2000 dbar), where most floats remain for 10 days. The floats then return to the surface, collecting temperature and salinity profiles. At the surface they transmit the data to a satellite and sink again to repeat the cycle. As of 10 August 2006 there are 2489 floats reporting data. The International Argo Data Management Team oversees the development and implementation of the data management protocols of Argo. Two types of data systems are active—real time and delayed mode. The real-time system receives the transmissions from the Argo floats, extracts the data, checks their quality, and makes them available to the users. The objective of the real-time system is to provide Argo profiles to the operational and research community within 24 h of their measurement. This requirement makes it necessary to control the quality of the data automatically. The delayed-mode quality control is directed at a more detailed look at the profiles using statistical methods and scientific review of the data. In this paper, the real-time data processing and quality-control methodology is described in detail. Results of the application of these procedures to Argo profiles are described.

scholarly journals Development of a New KPI for the Economic Quantification of Six Big Losses and Its Implementation in a Cyber Physical System

2020 ◽  
Vol 10 (24) ◽  
pp. 9154
Author(s):  
Paula Morella ◽  
María Pilar Lambán ◽  
Jesús Royo ◽  
Juan Carlos Sánchez ◽  
Jaime Latapia
Keyword(s):  
Real Time ◽  
Physical System ◽  
Performance Indicator ◽  
Cost Model ◽  
Relevant Information ◽  
Cyber Physical System ◽  
Time Data ◽  
Real Time Data ◽  
Different Dimensions ◽  
The Cost

The purpose of this work is to develop a new Key Performance Indicator (KPI) that can quantify the cost of Six Big Losses developed by Nakajima and implements it in a Cyber Physical System (CPS), achieving a real-time monitorization of the KPI. This paper follows the methodology explained below. A cost model has been used to accurately develop this indicator together with the Six Big Losses description. At the same time, the machine tool has been integrated into a CPS, enhancing the real-time data acquisition, using the Industry 4.0 technologies. Once the KPI has been defined, we have developed the software that can turn these real-time data into relevant information (using Python) through the calculation of our indicator. Finally, we have carried out a case of study showing our new KPI results and comparing them to other indicators related with the Six Big Losses but in different dimensions. As a result, our research quantifies economically the Six Big Losses, enhances the detection of the bigger ones to improve them, and enlightens the importance of paying attention to different dimensions, mainly, the productive, sustainable, and economic at the same time.

Design of Network Analysis System Based on Stream Computing

2017 ◽  
Vol 14 (1) ◽  
pp. 64-68 ◽  
Author(s):  
Peng Shi ◽  
Li Li
Keyword(s):  
Network Analysis ◽  
Load Balancing ◽  
Data Processing ◽  
Real Time ◽  
Network Data ◽  
Stream Computing ◽  
Time Data ◽  
Real Time System ◽  
Real Time Data ◽  
Analysis System

The functions of the network analysis system include detection and analysis of network data stream. According to the results of the network analysis, we monitor the network accident and avoid the security risks. This can improve the network performance and increase the network availability. As the data flow in the network is constantly produced, the biggest characteristic of network analysis system is that it is a real-time system. Because of the high requirements of the network data analysis and network fault processing, the system requires very high processing efficiency of the real time data of network. Stream computing is a technique specifically for processing real-time data streams. Its idea is that the value of the data is reduced with the lapse of time, so as long as the data appearing, it must be processed as soon as possible. So we use the technology of stream computing to design network analysis system to meet the needs of real-time capability. Moreover, the stream computing framework has been widely welcomed in the field because of its good expansibility, ease of use and flexibility. In this paper, firstly, we introduce the characteristics of the data processing based on stream computing and the traditional data processing separately. We point out their difference and introduce the technique of stream computing. Then, we introduce the architecture of network analysis system designed base on the technique of stream computing. The architecture includes two main components that are logic processing layer and communication layer. We describe the characteristics of each component and functional characteristics in detail, and we introduce the system load balancing algorithm. Finally, by experiments, we verify the effectiveness of the system’s characteristics of dynamic expansion and load balancing.

scholarly journals The Ground Control Station Design For Can-Sized Satellite (CanSAT) System

2020 ◽  
Vol 1 (2) ◽  
pp. 76-82
Author(s):  
Noor Thuwaibah Abdul Razak ◽  
Huda A Majid ◽  
Faiz Asraf Saparuddin ◽  
Muhamad Fitry Abdul Jalil ◽  
Muhamad Shakry Jamaluddin Jalil ◽  
...  
Keyword(s):  
Real Time ◽  
Software Design ◽  
Lightweight Design ◽  
Time Data ◽  
Time System ◽  
Real Time System ◽  
Ground Station ◽  
Medical Supplies ◽  
Emergency Medical ◽  
Main Components

Nowadays, Natural disaster tragedy is now one of the world's biggest concerns. Can-sized satellite, MedSAT: Location-Aware CanSAT for On-Site Emergency Medical Supplies develop a platform for finding direction and accurately locating an emergency patient and providing emergency medical supplies such as bandages, antiseptic wipes, sterile gauze pads of various sizes, insulin, pills, syringe and antivenom, as well as real-time visual feed for medical diagnosis during and after landing. This project focuses on the design of MedSAT and provides a real-time system to capture MedSAT’s real-time data during descent. The objective of the real-time system is to improve the accuracy and location speed of MedSAT data collection which can provide readings of altitude, latitude and longitude to help MedSAT navigate to the patient location. Hardware design (flight controller, GPS module and telemetry kit), software design (Mission Planner) and real-time system (RTS) are the main components of this platform. In addition, the ground station was developed to communicate with users via wireless telemetry communication using MAVLink protocol. Based on the overall findings, MedSAT and ground station's compact and lightweight design was developed in search and rescue operations for emergency location.

scholarly journals Towards Handling Incremental Load for Anomalies in Near Real Time Data Warehouse

2020 ◽  
Vol 15 ◽  
Keyword(s):  
Real Time ◽  
Data Warehouse ◽  
Time Data ◽  
Time System ◽  
Time Limits ◽  
Time Out ◽  
Novel Approach ◽  
Real Time Data ◽  
Maintenance Work ◽  
System Time

Refreshment anomalies occur in a data warehousing environment while performing Extract Transform and Load (ETL) to get the data for analysis from sources. There could be several reasons for the anomalies like not able to capture the delta on time, system time out, duplicate entries due to outer join operations and many more. Once anomalies are detected the compensation operation is executed to get the data that was missing into the data warehouse. In this work we would like to analyze scenario where it is necessary to perform incremental loads based on priority in an ongoing data warehouse maintenance work. The work proposes a novel approach to decide on when to perform ETL so that refreshment anomalies do not occur and to maintain integrity of data such that analytics queries always provide right information to the analyst. Two novelties have been discussed in this work one is to have a threshold before compensation of updates and two is while performing compensation updates prioritize the query with less freshness interval to have more time limits for the updates to be completed.

scholarly journals Implementation of ANN-Based Embedded Hybrid Power Filter Using HIL-Topology with Real-Time Data Visualization through Node-RED

Energies ◽  
2021 ◽  
Vol 14 (21) ◽  
pp. 7127
Author(s):  
Raffay Rizwan ◽  
Jehangir Arshad ◽  
Ahmad Almogren ◽  
Mujtaba Hussain Jaffery ◽  
Adnan Yousaf ◽  
...  
Keyword(s):  
Real Time ◽  
Data Visualization ◽  
Data Communication ◽  
Primary Data ◽  
Raspberry Pi ◽  
Ann Model ◽  
Time Data ◽  
Real Time System ◽  
Power Filter ◽  
Real Time Data

Electrical power consumption and distribution and ensuring its quality are important for industries as the power sector mandates a clean and green process with the least possible carbon footprint and to avoid damage of expensive electrical components. The harmonics elimination has emerged as a topic of prime importance for researchers and industry to realize the maintenance of power quality in the light of the 7th Sustainable Development Goals (SDGs). This paper implements a Hybrid Shunt Active Harmonic Power Filter (HSAHPF) to reduce harmonic pollution. An ANN-based control algorithm has been used to implement Hardware in the Loop (HIL) configuration, and the network is trained on the model of pq0 theory. The HIL configuration is applied to integrate a physical processor with the designed filter. In this configuration, an external microprocessor (Raspberry PI 3B+) has been employed as a primary data server for the ANN-based algorithm to provide reference current signals for HSAHPF. The ANN model uses backpropagation and gradient descent to predict output based on seven received inputs, i.e., 3-phase source voltages, 3-phase applied load currents, and the compensated voltage across the DC-link capacitors of the designed filter. Moreover, a real-time data visualization has been provided through an Application Programming Interface (API) of a JAVA script called Node-RED. The Node-RED also performs data transmission between SIMULINK and external processors through serial socket TCP/IP data communication for real-time data transceiving. Furthermore, we have demonstrated a real-time Supervisory Control and Data Acquisition (SCADA) system for testing HSAHPF using the topology based on HIL topology that enables the control algorithms to run on an embedded microprocessor for a physical system. The presented results validate the proposed design of the filter and the implementation of real-time system visualization. The statistical values show a significant decrease in Total Harmonic Distortion (THD) from 35.76% to 3.75%. These values perfectly lie within the set range of IEEE standard with improved stability time while bearing the computational overheads of the microprocessor.

Real-Time Current and Wave Monitoring Using Acoustic and Iridium Satellite Links

2009 ◽  
Author(s):  
H. H. Shih ◽  
James Sprenke ◽  
David Trombley ◽  
John Cassidy ◽  
Tom Mero
Keyword(s):  
Real Time ◽  
Current Data ◽  
Coast Guard ◽  
Army Corps ◽  
Ocean Bottom ◽  
Time Data ◽  
Real Time System ◽  
Satellite Links ◽  
Real Time Data ◽  
The U.S

The U.S. National Ocean Service (NOS) of NOAA maintains and operates a Physical Oceanography Real Time System (PORTS®) in the Nation’s major ports, harbors and bays. The traditional method of obtaining real-time data from bottom mounted instruments is via underwater cable link. However, this is vulnerable to damage and costly to install and maintain. This paper describes an approach utilizing acoustic and Iridium satellite links to report in real-time wave and current data. The system consists of an ocean bottom instrumentation platform and a U.S. Coast Guard Aid-to-Navigation buoy for data relay. The bottom platform contains a Nortek 1 MHz Acoustic Wave and Current profiler (AWAC) with an integrated Nortek Internal Processor (NIP), a LinkQuest omni-directional UWM2000H underwater acoustic transmitting modem, an ORE acoustic release-based recovery component, and a Teledyne-Benthos UAT-376/EL acoustic transponder. The surface buoy supports an omni-directional UWM2000H receiving modem, an Iridium antenna, and an electronic box containing an Iridium modem, a controller, battery packs, and temperature and voltage sensors. The AWAC measures current profiles along the vertical water column at 30-minute intervals and surface waves at hourly intervals. The NIP processes a set of user selected wave and current parameters and sends these data to the controller on the surface buoy through acoustic modems. The data are then transmitted via Iridium satellite to remote offices in real-time. Sample measurement results and reference data from a near-by Datawell’s Waverider directional wave buoy are presented. The Waverider is operated by the U.S. Army Corps of Engineers (USACE) and Scripps Institution of Oceanography (SIO). Several unique system design features and interesting wave phenomenon observed at the measurement site are discussed. The goal of this project is to demonstrate the performance of AWAC, NIP, shallow water acoustic modems, and Iridium satellite in real-time data telemetry.

scholarly journals REINAS: A Real-Time System for Managing Environmental Data

1998 ◽  
Vol 08 (01) ◽  
pp. 35-53 ◽  
Author(s):  
Eric C. Rosen ◽  
Theodore R. Haining ◽  
Darrell D. E. Long ◽  
Patrick E. Mantey ◽  
Craig M. Wittenbrink
Keyword(s):  
Real Time ◽  
Environmental Science ◽  
Regional Scale ◽  
Scientific Data ◽  
Environmental Data ◽  
Current Status ◽  
Time Data ◽  
Real Time System ◽  
Real Time Data ◽  
Database Technology

Managing scientific data is a challenging task, and many of the problems it presents have yet to be adequately solved. The Real-time Environmental Information Network and Analysis System (REINAS) is an operational solution to the problem of collecting and distributing environmental data in a real-time context, as well as supporting data acquisition, retrieval, visualization and long-term data maintenance. The system is built around one or more databases and has been developed to support both real-time and retrospective regional scale environmental science. Continuous real-time data is acquired from dispersed sensors and input to a logically integrated but physically distributed system. The database engine provides a powerful structure to handle data management, but current database technology can have difficulty meeting the performance requirements that a large real-time environmental system demands. The REINAS architecture and current status is described in detail, including the challenges that were addressed in the construction of an operational system which includes a regional wireless instrumentation network comprised of over 200 instrument platforms and 1500 sensor streams producing real-time data of interest to thousands of users.

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