scholarly journals Evaluating the Impact of IMU Sensor Location and Walking Task on Accuracy of Gait Event Detection Algorithms

Sensors ◽  
2021 ◽  
Vol 21 (12) ◽  
pp. 3989
Author(s):  
Wesley Niswander ◽  
Kimberly Kontson
Keyword(s):  
Event Detection ◽  
Rotational Velocity ◽  
Heel Strike ◽  
Clear Understanding ◽  
Sensor Location ◽  
Detection Algorithms ◽  
Task Effect ◽  
Reference Pressure ◽  
The Impact ◽  
Sensor Locations

There are several algorithms that use the 3D acceleration and/or rotational velocity vectors from IMU sensors to identify gait events (i.e., toe-off and heel-strike). However, a clear understanding of how sensor location and the type of walking task effect the accuracy of gait event detection algorithms is lacking. To address this knowledge gap, seven participants were recruited (4M/3F; 26.0 ± 4.0 y/o) to complete a straight walking task and obstacle navigation task while data were collected from IMUs placed on the foot and shin. Five different commonly used algorithms to identify the toe-off and heel-strike gait events were applied to each sensor location on a given participant. Gait metrics were calculated for each sensor/algorithm combination using IMUs and a reference pressure sensing walkway. Results show algorithms using medial-lateral rotational velocity and anterior-posterior acceleration are fairly robust against different sensor locations and walking tasks. Certain algorithms applied to heel and lower lateral shank sensor locations will result in degraded algorithm performance when calculating gait metrics for curved walking compared to straight overground walking. Understanding how certain types of algorithms perform for given sensor locations and tasks can inform robust clinical protocol development using wearable technology to characterize gait in both laboratory and real-world settings.

scholarly journals A study on the impact of data sampling rates on load signature event detection

2019 ◽  
Vol 2 (S1) ◽  
Author(s):  
Jana Huchtkoetter ◽  
Andreas Reinhardt
Keyword(s):  
Assisted Living ◽  
Event Detection ◽  
Sampling Rate ◽  
Recognition Rate ◽  
Ambient Assisted Living ◽  
Data Sampling ◽  
Enabling Technology ◽  
Detection Algorithms ◽  
Data Resolution ◽  
The Impact

Abstract The analysis of electrical load signatures is an enabling technology for many applications, such as ambient assisted living or energy-saving recommendations. Through the digitalization of electricity metering infrastructure, meter reading intervals are gradually becoming more frequent than the traditional once-per-year reporting. In fact, across smart meter generations, samples were initially reported in 15-min intervals, more recently once per second, and even newer devices capture readings at rates on the order of several kilohertz. The advantages of using such high sampling rates have, however, not been unambiguously demonstrated in literature. We thus choose a widely considered application scenario of energy data analytics, event detection, and assess the impact of the sampling rate choice on the correct event recognition rate. More specifically, we compare the accuracy of two event detection algorithms with respect to the resolution of their input data. The results of our analysis hint at a non-linear relation between accuracy and data resolution, yet also indicate that most event occurrences can be correctly determined when using a sampling rate of approximately 1 kHz, with only minimal improvements achievable through higher rates.

scholarly journals Quantitative determination of organic adsorption capacity in the Palaeozoic shales from South China

2021 ◽  
pp. 014459872098303
Author(s):  
Sibo Wang ◽  
Zhiguang Song ◽  
Jia Xia ◽  
Yuan Gao ◽  
YaoPing Wang ◽  
...  
Keyword(s):  
Adsorption Capacity ◽  
Clear Understanding ◽  
Soluble Organic Matter ◽  
Maximum Increase ◽  
Immature Oil ◽  
Methane Sorption ◽  
Oil Shales ◽  
The Impact ◽  
Total Adsorption

In this study, the methane adsorption capacity of kerogen isolated from the Cambrian, Silurian, and Permian shales and the impact of soluble organic matter (SOM) on the adsorption capacity of these shales were investigated. The results reveal that 1) the adsorption capacity of kerogen varies in a broad range, from 14.48 to 23.22 cm3/g for the Cambrian kerogens, from 15.50 to 36.06 cm3/g for the Silurian kerogens, and from 10.71 to 11.15 cm3/g for the Permian kerogens; 2) the kerogen adsorption accounts for 33.67–70.23% of the total adsorption capacity of these Palaeozoic extracted shales, demonstrating that kerogen is the primary adsorbing substance in shales; 3) the adsorption isotherms of kerogen in highly mature Cambrian and Silurian shales are similar to those of Triassic coal, while the isotherms of kerogen in the relatively immature Permian shales are similar to those of the immature oil shales; and 4) the SOM demonstrates a significant impact on the adsorption capacity of shales as the removal of SOM can cause a maximum increase of 34.29% or a decrease of 23.36% in the total adsorption capacity of shales. However, there is no clear understanding of the impact of SOM on the methane sorption of shales.

Free vibration analysis and post-critical free vibrations of nanocomposite rotating beams reinforced with graphene platelet

2021 ◽  
pp. 107754632110511
Author(s):  
Arameh Eyvazian ◽  
Chunwei Zhang ◽  
Farayi Musharavati ◽  
Afrasyab Khan ◽  
Mohammad Alkhedher
Keyword(s):  
Natural Frequency ◽  
Thermal Environment ◽  
Rotational Velocity ◽  
Equations Of Motion ◽  
Free Vibration Analysis ◽  
Beam Theory ◽  
Weight Fraction ◽  
Free Vibrations ◽  
Graphene Platelet ◽  
The Impact

Treatment of the first natural frequency of a rotating nanocomposite beam reinforced with graphene platelet is discussed here. In regard of the Timoshenko beam theory hypothesis, the motion equations are acquired. The effective elasticity modulus of the rotating nanocomposite beam is specified resorting to the Halpin–Tsai micro mechanical model. The Ritz technique is utilized for the sake of discretization of the nonlinear equations of motion. The first natural frequency of the rotating nanocomposite beam prior to the buckling instability and the associated post-critical natural frequency is computed by means of a powerful iteration scheme in reliance on the Newton–Raphson method alongside the iteration strategy. The impact of adding the graphene platelet to a rotating isotropic beam in thermal ambient is discussed in detail. The impression of support conditions, and the weight fraction and the dispersion type of the graphene platelet on the acquired outcomes are studied. It is elucidated that when a beam has not undergone a temperature increment, by reinforcing the beam with graphene platelet, the natural frequency is enhanced. However, when the beam is in a thermal environment, at low-to-medium range of rotational velocity, adding the graphene platelet diminishes the first natural frequency of a rotating O-GPL nanocomposite beam. Depending on the temperature, the post-critical natural frequency of a rotating X-GPL nanocomposite beam may be enhanced or reduced by the growth of the graphene platelet weight fraction.

scholarly journals Water Accounting Plus (WA+) – a water accounting procedure for complex river basins based on satellite measurements

2013 ◽  
Vol 17 (7) ◽  
pp. 2459-2472 ◽  
Author(s):  
P. Karimi ◽  
W. G. M. Bastiaanssen ◽  
D. Molden
Keyword(s):  
Water Management ◽  
Land Use ◽  
Spatial Information ◽  
River Basins ◽  
Clear Understanding ◽  
Satellite Measurements ◽  
Resource Base ◽  
Water Depletion ◽  
Water Accounting ◽  
The Impact

Abstract. Coping with water scarcity and growing competition for water among different sectors requires proper water management strategies and decision processes. A pre-requisite is a clear understanding of the basin hydrological processes, manageable and unmanageable water flows, the interaction with land use and opportunities to mitigate the negative effects and increase the benefits of water depletion on society. Currently, water professionals do not have a common framework that links depletion to user groups of water and their benefits. The absence of a standard hydrological and water management summary is causing confusion and wrong decisions. The non-availability of water flow data is one of the underpinning reasons for not having operational water accounting systems for river basins in place. In this paper, we introduce Water Accounting Plus (WA+), which is a new framework designed to provide explicit spatial information on water depletion and net withdrawal processes in complex river basins. The influence of land use and landscape evapotranspiration on the water cycle is described explicitly by defining land use groups with common characteristics. WA+ presents four sheets including (i) a resource base sheet, (ii) an evapotranspiration sheet, (iii) a productivity sheet, and (iv) a withdrawal sheet. Every sheet encompasses a set of indicators that summarise the overall water resources situation. The impact of external (e.g., climate change) and internal influences (e.g., infrastructure building) can be estimated by studying the changes in these WA+ indicators. Satellite measurements can be used to acquire a vast amount of required data but is not a precondition for implementing WA+ framework. Data from hydrological models and water allocation models can also be used as inputs to WA+.

The Impact of Video Transcoding Parameters on Event Detection for Surveillance Systems

2013 ◽  
Author(s):  
Emmanouil Kafetzakis ◽  
Christos Xilouris ◽  
Michail Alexandros Kourtis ◽  
Marcos Nieto ◽  
Iveel Jargalsaikhan ◽  
...  
Keyword(s):  
Event Detection ◽  
Video Transcoding ◽  
Surveillance Systems ◽  
The Impact

scholarly journals Twitter Analysis based on Damage Detection and Geoparsing for Event Mapping Management

2020 ◽  
Vol 5 (1) ◽  
pp. 1-14
Author(s):  
Yasmeen Ali Ameen ◽  
◽  
Khaled Bahnasy ◽  
Adel Elmahdy ◽  
◽  
...  
Keyword(s):  
Event Detection ◽  
Early Event ◽  
Message Content ◽  
New Approach ◽  
Graphical Displays ◽  
Crisis Events ◽  
Twitter Analysis ◽  
One Year ◽  
The Impact ◽  
Method Approach

Background: Early event detection, monitor, and response can significantly decrease the impact of disasters. Lately, the usage of social media for detecting events has displayed hopeful results. Objectives: for event detection and mapping; the tweets will locate and monitor them on a map. This new approach uses grouped geoparsing then scoring for each tweet based on three spatial indicators. Method/Approach: Our approach uses a geoparsing technique to match a location in tweets to geographic locations of multiple-events tweets in Egypt country, administrative subdivision. Thus, additional geographic information acquired from the tweet itself to detect the actual locations that the user mentioned in the tweet. Results: The approach was developed from a large pool of tweets related to various crisis events over one year. Only all (very specific) tweets that were plotted on a crisis map to monitor these events. The tweets were analyzed through predefined geo-graphical displays, message content filters (damage, casualties). Conclusion: A method was implemented to predict the effective start of any crisis event and an inequity condition is applied to determine the end of the event. Results indicate that our automated filtering of information provides valuable information for operational response and crisis communication

scholarly journals SYSTEMATIC SUPPORT FOR THE DEVELOPMENT OF THE PEDAGOGICAL TEAM OF THE COLLEGE

2021 ◽  
pp. 45-52
Author(s):  
I. Bredikhina
Keyword(s):  
Educational Institution ◽  
Team Development ◽  
Clear Understanding ◽  
Team Members ◽  
Stage Of Development ◽  
Factors Influencing ◽  
Number Of Factors ◽  
Successful Work ◽  
College Staff ◽  
The Impact

The article states that in order to create a competitive educational institution, management needs to use team management technologies. The research considers the issue of creating systematic support for pedagogical teams, namely assessment and analysis of a number of factors influencing the successful work of the pedagogical team and the formation of systematic support for team development using retrospective techniques and team adjustments. According to the results of the research, which is based on the Michigan model of leadership, the existing difficulties in the functioning of college teams were analyzed. The survey identified that at this stage of development, not all members of the college staff teams have a clear understanding of the overall goal (86.9 %) and the impact of teamwork on the overall result (78.2 %). Their unequal contribution to achieving the goal was also noted (73.9 %). The survey indicates that not all teams have a combination of skills at the highest level, and team members who have certain skills are not always interested in helping colleagues (82.6 %). Teams are quite high spirited and motivated even in difficult periods (82.6 %), the teams hold constructive discussions about misunderstandings and problems, regularly find new opportunities to find information and solve complex problems, appreciate the achievements of colleagues (86.9 %). Thus, it turned out that team leaders motivate not all team members to successfully implement projects (78.2 %), but provide management and prompt feedback, consult with team members to remove obstacles and difficulties in the work and ensure team progress (86.9 %). Given the identified weak spots of the pedagogical teams of the college and the factors influencing their work, systematic support, which consists in the formation of psychological security, constant analysis of team development and retrospectives, swell as models of adjustment for team development to improve their efficiency were created.

scholarly journals Impact of supply chain integration on halal food supply chain integrity and food quality performance

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mohd Helmi Ali ◽  
Mohammad Iranmanesh ◽  
Kim Hua Tan ◽  
Suhaiza Zailani ◽  
Nor Asiah Omar
Keyword(s):  
Supply Chain ◽  
Food Safety ◽  
Food Quality ◽  
Food Supply ◽  
Structural Equation ◽  
Clear Understanding ◽  
Food Supply Chain ◽  
Content Type ◽  
Halal Food ◽  
The Impact

Purpose The current complex halal food supply chain (SC) has caused food scandals, which have illustrated the weakness of multiple food quality standards and certification and audits in ensuring food safety. Drawn on the resource-based view (RBV) theory, the purpose of this study is to explore the impacts of SC integration (SCI) on halal food SC integrity and, consequently, food quality. Design/methodology/approach Empirical data were collected from 275 halal-certified food companies in Malaysia and analysed using structural equation modelling – SmartPLS3.0. Findings The results confirmed that SCI, including internal, supplier and customer integrations, has significant effects on the dimensions of the halal food SC integrity which, in turn, lead to halal food safety and quality. Practical implications The importance of SCI in halal food SC is highlighted in this study. The impact of SCI is contexted in halal food SC integrity and food quality. Therefore, it provides a clear understanding to managers of SC applicability in the halal food industry. Originality/value Based on the RBV theory, this study contributes to the limited body of research of the relationships among SCI from the context of the halal industry with a specific focus on food supply chain integrity and food quality.

FACTORS CAUSING PROBLEMS IN MANAGING CONSTRUCTION PROJECTS IN A COUNTRY UNDER MILITARY OCCUPATION: Contractors’ Perspective

2016 ◽  
Vol 05 (07) ◽  
pp. 01-07
Author(s):  
Akram Subhe Suleiman ◽  
Jafar Subhi Hardan Abahre
Keyword(s):  
Construction Industry ◽  
Construction Projects ◽  
Project Managers ◽  
Project Manager ◽  
Military Occupation ◽  
The Political ◽  
Clear Understanding ◽  
Team Members ◽  
Political Situation ◽  
The Impact

An exhaustive literature search revealed that not much research has been done on factors causing problems in managing a construction project in a country under military occupation like Palestine. So, it is the main goal of this research is to identify these factors which could be used by the decision makers to select the appropriate project manager who bosses the suitable skills and competencies to deal with these problems. The study is a step toward determining means to improve the effectiveness of projects through identifying project manager competencies. It is important for Palestinian construction industry to progress in terms of project success; the problems that face the project managers must be determined and identified, in order to achieve the best results with less risk. A clear understanding of such problems helps the Palestinian construction industry of finding the suitable solutions to overcome these problems. A questionnaire survey was carried out to achieve the main aim of this research. The respondents were engineers have more than 3 years in the position of project manager in the Palestinian construction industry. The survey was based on factors drawn from findings of another researches in different countries, together with special factors identified as potentially affecting Palestine. The results identified many factors created problems; they were clustered in eight groups. These groups were arranged according to respondents in descending order as follows: the political situation of Palestine, lack of consultants` technical competencies, lack of resources, insufficient planning, team members uncommitted, conflicts between departments, breakdowns in communications, and changes in goals. As a result of this study one could conclude that managing a project in Palestine is as difficult as the complication of the political situation of the country. The project manager should have a complicated mixture of skills and competencies from dealing with Israeli occupation to dealing with stakeholders to lack of resources and unclear goals. The study has recommended to the Palestinian government to improve the regulations and laws to meet the impact of closure and segmentation of the Palestine.

Cellular Automata Algorithms for Digital Image Processing

Biometrics ◽  
2017 ◽  
pp. 382-402
Author(s):  
Petre Anghelescu
Keyword(s):  
Image Processing ◽  
Cellular Automata ◽  
Edge Detection ◽  
Digital Image Processing ◽  
Digital Image ◽  
Image Understanding ◽  
Software Application ◽  
Detection Algorithms ◽  
Human Image ◽  
The Impact

In this paper are presented solutions to develop algorithms for digital image processing focusing particularly on edge detection. Edge detection is one of the most important phases used in computer vision and image processing applications and also in human image understanding. In this chapter, implementation of classical edge detection algorithms it is presented and also implementation of algorithms based on the theory of Cellular Automata (CA). This work is totally related to the idea of understanding the impact of the inherently local information processing of CA on their ability to perform a managed computation at the global level. If a suitable encoding of a digital image is used, in some cases, it is possible to achieve better results in comparison with the solutions obtained by means of conventional approaches. The software application which is able to process images in order to detect edges using both conventional algorithms and CA based ones is written in C# programming language and experimental results are presented for images with different sizes and backgrounds.

Sign in / Sign up

Export Citation Format

Share Document