scholarly journals Construction and verification of a rainstorm death risk index based on grid data fusion: a case study of the Beijing rainstorm on July 21, 2012

2021 ◽  
Author(s):  
Xianhua Wu ◽  
Jiqiang Zhao ◽  
Yun Kuai ◽  
Ji Guo ◽  
Ge Gao
Keyword(s):  
Data Fusion ◽  
Risk Index ◽  
Grid Data ◽  
Death Risk

scholarly journals A Wearable Sensor-Based Platform for Surgeon Posture Monitoring: A Tool to Prevent Musculoskeletal Disorders

2021 ◽  
Vol 18 (7) ◽  
pp. 3734
Author(s):  
Nicola Carbonaro ◽  
Gabriele Mascherini ◽  
Ilenia Bartolini ◽  
Maria Ringressi ◽  
Antonio Taddei ◽  
...  
Keyword(s):  
Musculoskeletal Disorders ◽  
Risk Index ◽  
Dynamical Analysis ◽  
Surgical Interventions ◽  
Posture Monitoring ◽  
Measurement Units ◽  
Mini Laparotomy ◽  
Surgical Operations ◽  
Ergonomic Risk

Surgeons are workers that are particularly prone to the development of musculoskeletal disorders. Recent advances in surgical interventions, such as laparoscopic procedures, have caused a worsening of the scenario, given the harmful static postures that have to be kept for long periods. In this paper, we present a sensor-based platform specifically aimed at monitoring the posture during actual surgical operations. The proposed system adopts a limited number of Inertial Measurement Units (IMUs) to obtain information about spine and neck angles across time. Such a system merges the reliability of sensor-based approaches and the validity of state-of-the-art scoring procedure, such as RULA. Specifically, three IMUs are used to estimate the flexion, lateral bending, and twisting angles of spine and neck. An ergonomic risk index is thus estimated in a time varying fashion borrowing relevant features from the RULA scoring system. The detailed functioning of the proposed systems is introduced, and the assessment results related to a real surgical procedure, consisting of a laparoscopy and mini-laparotomy sections, are shown and discussed. In the exemplary case study introduced, the surgeon kept a high score, indicating the need for an intervention on the working procedures, for a large time fraction. The system allows separately analyzing the contribution of spine and neck, also specifying the angle configuration. It is shown how the proposed approach can provide further information, as related to dynamical analysis, which could be used to enlarge the features taken into account by currently available approaches for ergonomic risk assessment. The proposed system could be adopted both for training purposes, as well as for alerting surgeons during actual surgical operations.

scholarly journals Flood risk index pattern assessment: case study in Langat River Basin

2018 ◽  
Vol 9 (2S) ◽  
pp. 12 ◽  
Author(s):  
A.S.M. Saudi ◽  
M.K.A. Kamarudin ◽  
I.S.D. Ridzuan ◽  
R Ishak ◽  
A Azid ◽  
...  
Keyword(s):  
River Basin ◽  
Flood Risk ◽  
Risk Index ◽  
Langat River

scholarly journals Persistence, dissipation and health risk assessment of combi-product profenofos and cypermethrin in/on sapota under sub-tropical agro-climatic conditions in India

2021 ◽  
Vol 13 (3) ◽  
pp. 11030
Author(s):  
Vanrajsinh SOLANKI ◽  
Susheel SINGH ◽  
Rohan KANSARA ◽  
Kelvin GANDHI ◽  
Nitisha PATEL ◽  
...  
Keyword(s):  
Health Risk ◽  
Standard Dose ◽  
Risk Index ◽  
Climatic Conditions ◽  
Health Risk Index ◽  
Pest Damage ◽  
Quantitation Limit ◽  
First Case ◽  
Rapid Pace

Sapota, a prominent and economically important fruit crop of India is susceptible to several species of insect and mite pests. Several pesticides formulations are used to control the pest damage in sapota. The present investigation was aimed to study the dissipation and persistence behaviour of combi-product profenofos 40% + cypermethrin 4% (44EC) at the standard dose (SD) (1162 g a.i. ha-1+106 g a.i. ha-1) and double to standard dose (2×SD) (2324 g a.i. ha-1+212 g a.i. ha-1) in/on sapota under tropical agro-climatic conditions of South Gujarat in India. Prior to quantitative analysis of pesticide residue on Gas chromatography with electron captured detector (GC-ECD), the modified Quick, Easy, Cheap, Effective, Rugged and Safe (QuEChERS) based method was validated on its accuracy, precision, linearity and sensitivity. Profenofos persisted in sapota up to 30 days with the half-lives of 5.65 and 7.34 days at SD and 2×SD, respectively. Cypermethrin dissipated at a rapid pace and was below quantitation limit (BQL) on 7 days at either dose of application; the half-life values recorded were 3.27 and 4.43 days at SD and 2×SD, respectively. This is the first case study that reflects 14 days as a waiting period after the last spray of combi-product (44EC) at standard dose facilitates the residue-free sapota fruits. Further, the health risk index (HRI<1) and Health Index (HI %< 100%) indicates that the application of combi-product profenofos 40% + cypermethrin 4% (44EC) at standard dose could not pose any health risk to Indian consumers.

Establishing the Wildland-Urban interface building risk index ( WUIBRI ): The case study of Beit-Meri

2017 ◽  
Vol 24 ◽  
pp. 175-183 ◽  
Author(s):  
Mario Mhawej ◽  
Ghaleb Faour ◽  
Jocelyne Adjizian-Gerard
Keyword(s):  
Risk Index ◽  
Wildland Urban Interface

Time-Dependent O-D Estimation of Urban Expressway with Multi-Source Data Fusion: A Case Study of Suzhou

2021 ◽  
Author(s):  
Sihan Wang ◽  
Xiang Wang ◽  
Po Zhao ◽  
Wenjuan E ◽  
Xi Wang
Keyword(s):  
Data Fusion ◽  
Time Dependent ◽  
Urban Expressway ◽  
Source Data

Multi-source urban data fusion for property value assessment: A case study in Philadelphia

2020 ◽  
Vol 404 ◽  
pp. 70-83 ◽  
Author(s):  
Junchi Bin ◽  
Bryan Gardiner ◽  
Eric Li ◽  
Zheng Liu
Keyword(s):  
Data Fusion ◽  
Value Assessment ◽  
Property Value ◽  
Urban Data

scholarly journals Freeway Travel Time Prediction Based on Seamless Spatio-temporal Data Fusion: Case Study of the Freeway in Taiwan

2016 ◽  
Vol 17 ◽  
pp. 452-459 ◽  
Author(s):  
Tang-Hsien Chang ◽  
Albert Y. Chen ◽  
Yu-Ting Hsu ◽  
Chien-Li Yang
Keyword(s):  
Data Fusion ◽  
Travel Time ◽  
Temporal Data ◽  
Travel Time Prediction ◽  
Time Prediction ◽  
Spatio Temporal

scholarly journals Optimization Parameters of Trading System with Constant Modulus of Unit Return

Mathematics ◽  
2020 ◽  
Vol 8 (8) ◽  
pp. 1384 ◽  
Author(s):  
Krzysztof Piasecki ◽  
Michał Dominik Stasiak
Keyword(s):  
Exchange Rate ◽  
Probability Distributions ◽  
Risk Index ◽  
Binary Representation ◽  
Constant Modulus ◽  
Trading System ◽  
Base Exchange ◽  
Optimization Parameters ◽  
Exchange Medium

The unit return is determined as the return in the quotation currency (QCR) per the unit of base exchange medium (BEM). The main purpose is to examine the applicability of a trading system with a constant modulus of unit return (CMUR). The CMUR system supports speculative operations related to the exchange rate, given as the BEM quotation per the QCR. Premises for investment decisions are based on knowledge about the quotation dynamics described by its binary representation. This knowledge is described by a prediction table containing the conditional probability distributions of exchange rate increments. Any prediction table depends on observation range. Financial effectiveness of any CMUR system is assessed in the usual way by interest rate and risk index based on Shannon entropy. The main aim of our paper is to present algorithms which may be used for selecting effective CMUR systems. Required unit return modulus and observation range are control parameters applied for management of CMUR systems. Optimal values of these parameters are obtained by implementation of the proposed algorithm. All formal considerations are illustrated by an extensive case study linked to gold trading.

Adaptation of the JDL Model for Multi-Sensor National Cyber Security Data Fusion

2016 ◽  
Vol 6 (3) ◽  
pp. 17-30 ◽  
Author(s):  
Ignatius Swart ◽  
Barry Irwin ◽  
Marthie M. Grobler
Keyword(s):  
Data Fusion ◽  
South African ◽  
Cyber Security ◽  
National Level ◽  
Data Sources ◽  
Sensor Data ◽  
Fusion Model ◽  
System A ◽  
Attack Surface

The potential attack surface of a nation is large and no single source of cyber security data provides all the required information to accurately describe the cyber security readiness of a nation. There are a variety of specialised data sources available to assess the state of a nation in key areas such as botnets, spam servers and incorrectly configured hosts. By applying data fusion principles, the potential exists to provide a representative view of all combined data sources. This research will examine a variety of currently available Internet data sources and apply it to an adapted Joint Directors of Laboratories (JDL) data fusion model in order to illustrate the potential gains and current limitations. The JDL model has been adapted to suit national level cyber sensor data fusion with the aim to formally define and reduce data ambiguity and enhance fusion capability in a real world system. A case study highlights the results of applying available open source security information against the model to relate to the current South African cyber landscape.

Sign in / Sign up

Export Citation Format

Share Document