scholarly journals Mobility and Trajectory-Based Technique for Monitoring Asymptomatic Patients

2022 ◽  
Vol 15 (1) ◽  
pp. 0-0
Keyword(s):  
Network Topology ◽  
Continuous Monitoring ◽  
Trajectory Analysis ◽  
State Of The Art ◽  
Monitoring Systems ◽  
Asymptomatic Patients ◽  
Specific Interests ◽  
Temporal Trajectory ◽  
Topology Graph ◽  
Grid Based

Asymptomatic patients (AP) travel through neighborhoods in communities. The mobility dynamics of the AP makes it hard to tag them with specific interests. The lack of efficient monitoring systems can enable the AP to infect several vulnerable people in the communities. This article studied the monitoring of AP through their mobility and trajectory towards reducing the stress of socio-economic complications in the case of pandemics. Mobility and Trajectory based Technique for Monitoring Asymptomatic Patients (MTT-MAP) was established. The time-ordered spatial and temporal trajectory records of the AP were captured through their activities. A grid-based index data structure was designed based on network topology, graph theory and trajectory analysis to cater for the continuous monitoring of the AP over time. Also, concurrent object localisation and recognition, branch and bound, and multi-object instance strategies were adopted. The MTT-MAP has shown efficient when experimented with GeoLife dataset and can be integrated with state-of-the-art patients monitoring systems.

Comparison of Glucose Concentrations between Flash and Continuous Monitoring Systems in Patients with Diabetes Mellitus

Diabetes ◽  
2018 ◽  
Vol 67 (Supplement 1) ◽  
pp. 917-P
Author(s):  
RYO KUMAGAI ◽  
AIKO MURAMATSU ◽  
MASANAO FUJII ◽  
YUKINO KATAKURA ◽  
KEIKO FUJIE ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Continuous Monitoring ◽  
Monitoring Systems ◽  
Patients With Diabetes

Experience of Operation of the Mine Winding Plants Equipped with Continuous Monitoring Systems

2019 ◽  
pp. 52-58
Author(s):  
G.D. Trifanov ◽  
◽  
A.A. Knyazev ◽  
A.P. Filatov ◽  
V.V. Lauk ◽  
...  
Keyword(s):  
Continuous Monitoring ◽  
Monitoring Systems

scholarly journals Regarding Jump Point Search and Subgoal Graphs

2019 ◽  
Author(s):  
Daniel D. Harabor ◽  
Tansel Uras ◽  
Peter J. Stuckey ◽  
Sven Koenig
Keyword(s):  
Path Planning ◽  
State Of The Art ◽  
Jump Point ◽  
Point Search ◽  
Planning Technique ◽  
First Time ◽  
Grid Based

In this paper, we define Jump Point Graphs (JP), a preprocessing-based path-planning technique similar to Subgoal Graphs (SG). JP allows for the first time the combination of Jump Point Search style pruning in the context of abstraction-based speedup techniques, such as Contraction Hierarchies. We compare JP with SG and its variants and report new state-of-the-art results for grid-based pathfinding.

Detection and Tracking of Moving Obstacles (DATMO): A Review

Robotica ◽  
2019 ◽  
Vol 38 (5) ◽  
pp. 761-774 ◽  
Author(s):  
Ángel Llamazares ◽  
Eduardo J. Molinos ◽  
Manuel Ocaña
Keyword(s):  
Mobile Robots ◽  
State Of The Art ◽  
Indoor Environments ◽  
Local Planning ◽  
Planning Stage ◽  
Moving Obstacles ◽  
Model Free ◽  
Detection And Tracking ◽  
Free Model ◽  
Grid Based

SummaryWorking with mobile robots, prior to execute the local planning stage, they must know the environment where they are moving. For that reason the perception and mapping stages must be performed previously. This paper presents a survey in the state of the art in detection and tracking of moving obstacles (DATMO). The aim of what follows is to provide an overview of the most remarkable methods at each field specially in indoor environments where dynamic obstacles can be potentially more dangerous and unpredictable. We are going to show related DATMO methods organized in three approaches: model-free, model-based and grid-based. In addition, a comparison between them and conclusions will be presented.

scholarly journals Piezoelectric Sensing Techniques in Structural Health Monitoring: A State-of-the-Art Review

Sensors ◽  
2020 ◽  
Vol 20 (13) ◽  
pp. 3730 ◽  
Author(s):  
Pengcheng Jiao ◽  
King-James I. Egbe ◽  
Yiwei Xie ◽  
Ali Matin Nazar ◽  
Amir H. Alavi
Keyword(s):  
Structural Health Monitoring ◽  
Health Monitoring ◽  
Smart Materials ◽  
State Of The Art ◽  
Piezoelectric Materials ◽  
Great Promise ◽  
Monitoring Systems ◽  
Electromechanical Impedance ◽  
Structural Health ◽  
Health Monitoring Systems

Recently, there has been a growing interest in deploying smart materials as sensing components of structural health monitoring systems. In this arena, piezoelectric materials offer great promise for researchers to rapidly expand their many potential applications. The main goal of this study is to review the state-of-the-art piezoelectric-based sensing techniques that are currently used in the structural health monitoring area. These techniques range from piezoelectric electromechanical impedance and ultrasonic Lamb wave methods to a class of cutting-edge self-powered sensing systems. We present the principle of the piezoelectric effect and the underlying mechanisms used by the piezoelectric sensing methods to detect the structural response. Furthermore, the pros and cons of the current methodologies are discussed. In the end, we envision a role of the piezoelectric-based techniques in developing the next-generation self-monitoring and self-powering health monitoring systems.

AN APPLICATION CONCEPT OF THE FIBRE-OPTICAL TECHNOLOGY IN GEODETIC MONITORING OF ENGINEERING OBJECTS

2017 ◽  
Vol 166 (46) ◽  
pp. 60-74
Author(s):  
Krzysztof Karsznia ◽  
Konrad Podawca
Keyword(s):  
Risk Management ◽  
Large Scale ◽  
State Of The Art ◽  
Monitoring Systems ◽  
Management Approach ◽  
Engineering Structures ◽  
Geoinformation Systems ◽  
Current State ◽  
Modern Engineering ◽  
Integrated Risk

Monitoring of structures and other different field objects undoubtedly belongs to the main issues of modern engineering. The use of technologies making it possible to implement structural monitoring makes it possible to build an integrated risk management approach combining instrumental solutions with geoinformation systems. In the studies of engineering structures, there is physical monitoring mainly used for examining the physical state of the object - so-called SHM ("Structural Health Monitoring"). However, very important role is also played by geodetic monitoring systems (GMS). The progress observed in the field of IT and automatics has opened new possibilities of using integrated systems on other, often large-scale objects. Based on the current state-of-the-art, the article presents the concept of integration approaches of physical and geodetic monitoring systems in order to develop useful guidelines for further construction of an expert risk management system.

scholarly journals Content Patterns in Topic-Based Overlapping Communities

2014 ◽  
Vol 2014 ◽  
pp. 1-11 ◽  
Author(s):  
Sebastián A. Ríos ◽  
Ricardo Muñoz
Keyword(s):  
Network Topology ◽  
Online Social Networks ◽  
Virtual Communities ◽  
State Of The Art ◽  
Graph Structure ◽  
Textual Information ◽  
Overlapping Communities ◽  
Network Nodes ◽  
Detection Approach ◽  
Important Challenge

Understanding the underlying community structure is an important challenge in social network analysis. Most state-of-the-art algorithms only consider structural properties to detect disjoint subcommunities and do not include the fact that people can belong to more than one community and also ignore the information contained in posts that users have made. To tackle this problem, we developed a novel methodology to detect overlapping subcommunities in online social networks and a method to analyze the content patterns for each subcommunities using topic models. This paper presents our main contribution, a hybrid algorithm which combines two different overlapping sub-community detection approaches: the first one considers the graph structure of the network (topology-based subcommunities detection approach) and the second one takes the textual information of the network nodes into consideration (topic-based subcommunities detection approach). Additionally we provide a method to analyze and compare the content generated. Tests on real-world virtual communities show that our algorithm outperforms other methods.

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