Information Processing for Generating Recommendations Ahead of Time in an IoT-Based Environment

2017 ◽  
Vol 5 (4) ◽  
pp. 38-62
Author(s):  
Alexandros Bousdekis ◽  
Nikos Papageorgiou ◽  
Babis Magoutas ◽  
Dimitris Apostolou ◽  
Gregoris Mentzas
Keyword(s):  
Information System ◽  
Information Processing ◽  
Internet Of Things ◽  
System Design ◽  
Sensor Data ◽  
Real Time Processing ◽  
Time Processing ◽  
Potential Problems ◽  
Current Article ◽  
Design Requirements

The evolution of Internet of Things (IoT) has significantly contributed to the development of the sensing enterprise concept and to the use of appropriate information systems for real-time processing of sensor data that are able to provide meaningful insights about potential problems in a proactive way. In the current article, the authors outline a conceptual architecture and describe the system design requirements for deciding and acting ahead of time with the aim to address the Decide and the Act phases of the “Detect-Predict-Decide-Act” proactive principle, which are still underexplored areas. The associated developed information system is capable of being integrated with systems addressing the Detect and the Predict phases in an Event Driven Architecture (EDA).

Developing a Framework for Information Sharing of Heterogeneous Systems in Southwest of China

2014 ◽  
Vol 519-520 ◽  
pp. 1576-1580
Author(s):  
Gui Xian Zhou ◽  
Xiao Qiong Wang
Keyword(s):  
Information System ◽  
Information Processing ◽  
Information Sharing ◽  
System Design ◽  
Southwest China ◽  
Heterogeneous Systems ◽  
Business Environment ◽  
Manufacturing Information ◽  
Important Means ◽  
Complex Project

It is widely considered that standardization is an important means for information processing£¬exchanging£¬managing and clearing up technical bulwark more effectively. The paper studies the theoretics and methods about the E-HUB platform. After analyze business environment in Southwest China, a generic conceptual framework will be developed and a prototype implementation of the generic concepts will be benchmarked in system design of manufacturing information system. The small and medium-sized enterprises (SMEs) can solve their complex project tasks and participate in projects far exceeding their individual capabilities.

scholarly journals Integration and Exploitation of Sensor Data in Smart Cities through Event-Driven Applications

Sensors ◽  
2019 ◽  
Vol 19 (6) ◽  
pp. 1372 ◽  
Author(s):  
Manuel Garcia Alvarez ◽  
Javier Morales ◽  
Menno-Jan Kraak
Keyword(s):  
Real Time ◽  
Spatial Data ◽  
Spatial Information ◽  
Smart Cities ◽  
Spatial Data Analysis ◽  
Sensor Data ◽  
Reference Architecture ◽  
Real Time Processing ◽  
Time Processing ◽  
Event Driven

Smart cities are urban environments where Internet of Things (IoT) devices provide a continuous source of data about urban phenomena such as traffic and air pollution. The exploitation of the spatial properties of data enables situation and context awareness. However, the integration and analysis of data from IoT sensing devices remain a crucial challenge for the development of IoT applications in smart cities. Existing approaches provide no or limited ability to perform spatial data analysis, even when spatial information plays a significant role in decision making across many disciplines. This work proposes a generic approach to enabling spatiotemporal capabilities in information services for smart cities. We adopted a multidisciplinary approach to achieving data integration and real-time processing, and developed a reference architecture for the development of event-driven applications. This type of applications seamlessly integrates IoT sensing devices, complex event processing, and spatiotemporal analytics through a processing workflow for the detection of geographic events. Through the implementation and testing of a system prototype, built upon an existing sensor network, we demonstrated the feasibility, performance, and scalability of event-driven applications to achieve real-time processing capabilities and detect geographic events.

Smart Home System Design Based on Internet of Things

2014 ◽  
Vol 602-605 ◽  
pp. 3808-3812 ◽  
Author(s):  
Zhen Wang
Keyword(s):  
Internet Of Things ◽  
System Design ◽  
Smart Home ◽  
Development Trend ◽  
Functional Requirements ◽  
Key Technology ◽  
Key Technologies ◽  
Embedded Processing ◽  
Design Requirements ◽  
Household System

As sensor, semiconductor, embedded processing, such as the development of technology, smart home system is more and more get people's attention, make household intelligent has become a development trend. This paper analyzes the key technologies of Internet of things intelligent household the functional requirements, and the key technology of Internet of things intelligent household, expounds the principle and design requirements of the system, on this basis, design a set of relatively complete Internet of things intelligent household system. The smart home system designed in this paper can realize monitoring, alarm, control and reflect the intelligent household convenience and practicability, has wide application prospect.

Design and Implementation of Medical Image Teleconsultation System Based on Web

2012 ◽  
Vol 429 ◽  
pp. 123-127 ◽  
Author(s):  
De Yu Chen ◽  
Zhi Lin Jiang ◽  
Jia Jun Yang ◽  
Wu Yi Zong
Keyword(s):  
Image Processing ◽  
Information Processing ◽  
Real Time ◽  
Medical Image ◽  
High Fidelity ◽  
Image Information ◽  
Real Time Processing ◽  
Time Processing ◽  
Design And Implementation ◽  
Time Interaction

In telemedicine, real-time processing, processing without distortion, and browsing without plug-ins for medical image are these reasons that hinder implementation of medical image teleconsultation system. The paper presents a design of medical image teleconsultation system. The system is designed and achieved by comprehensive adoption of Silverlight, Deep Zoom, WCF and image processing technology. During the course of teleconsultation, real-time interaction, sharing and browsing for medical image meet the requirement for patients’ image information processing. Based on B/S, the system can achieve accurate locating, high-fidelity reduction and enlargement and quick browsing for medical image, and real-time interaction for consultation information through a universal browser.

scholarly journals Real-time stream processing for active fire monitoring on Landsat 8 direct reception data

2015 ◽  
Vol XL-7/W3 ◽  
pp. 765-770
Author(s):  
C. Böhme ◽  
P. Bouwer ◽  
M. J. Prinsloo
Keyword(s):  
Real Time ◽  
Processing System ◽  
Sensor Data ◽  
Distinct Advantage ◽  
Landsat 8 ◽  
Real Time Processing ◽  
Time Processing ◽  
Fire Monitoring ◽  
Active Fire ◽  
Sensing Applications

Some remote sensing applications are relatively time insensitive, for others, near-real-time processing (results 30-180 minutes after data reception) offer a viable solution. There are, however, a few applications, such as active wildfire monitoring or ship and airplane detection, where real-time processing and image interpretation offers a distinct advantage. The objective of real-time processing is to provide notifications before the complete satellite pass has been received. This paper presents an automated system for real-time, stream–based processing of data acquired from direct broadcast push-broom sensors for applications that require a high degree of timeliness. Based on this system, a processing chain for active fire monitoring using Landsat 8 live data streams was implemented and evaluated. The real-time processing system, called the FarEarth Observer, is connected to a ground station’s demodulator and uses its live data stream as input. Processing is done on variable size image segments assembled from detector lines of the push broom sensor as they are streamed from the satellite, enabling detection of active fires and sending of notifications within seconds of the satellite passing over the affected area, long before the actual acquisition completes. This approach requires performance optimized techniques for radiometric and geometric correction of the sensor data. Throughput of the processing system is kept well above the 400Mbit/s downlink speed of Landsat 8. A latency of below 10 seconds from sensor line acquisition to anomaly detection and notification is achieved. Analyses of geometric and radiometric accuracy and comparisons in latency to traditional near-real-time systems are also presented.

scholarly journals Sistem Monitoring Tanah Longsor Berbasis Internet of Things dan Geographic Information System

2019 ◽  
Vol 3 (02) ◽  
pp. 70-77
Author(s):  
Roni Wahyu Putra ◽  
Haris Suryamen
Keyword(s):  
Information System ◽  
Soil Moisture ◽  
Geographic Information System ◽  
Internet Of Things ◽  
Natural Disasters ◽  
Success Rate ◽  
Rainy Season ◽  
Sensor Data ◽  
Material Loss ◽  
Loss Of Life

Landslide is one of the natural disasters that happens quite often in many parts of Indonesia. Landslide brings negative aspects to people because it causes material loss and loss of life. Landslides generally occur in the rainy season with high rainfall. In this research, a system is made to predict the chance of landslide to happen by measuring the level of rainfall, soil moisture, and soil displacement, and send the sensor data and position of a landslide to the database. According to this research, the system can predict the chance for the landslide to happen and give a warning with a 100% success rate.

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