Factors Affecting Classification of Road Segments into High- and Low-Speed Collision Regimes

2017 ◽  
Vol 2659 (1) ◽  
pp. 98-105
Author(s):  
Suliman Gargoum ◽  
Yang Li ◽  
Karim El-Basyouny ◽  
Amy Kim
Keyword(s):  
High Speed ◽  
Site Classification ◽  
Heavy Vehicles ◽  
Factors Affecting ◽  
Low Speed ◽  
High Speeds ◽  
Using Data ◽  
High Level ◽  
A Site

The safety of locations operating under high-speed conditions could significantly differ from that of locations operating under low-speed conditions. Therefore, different approaches must be adopted when speed and safety are analyzed and managed at locations operating under different regimes. However, it is necessary first to understand the factors affecting the speed–collision classification of a site. Locations operating under high speeds are typically expected to have more collisions compared with locations in which speeds are low. Some locations, however, might experience a high collision rate even when speeds are low, or vice versa. This study aimed to identify the factors that affected the site classification into any of those categories by using data collected on roads in Edmonton, Alberta, Canada. Locations were divided into four speed–collision bins (high collision, high speed; high collision, low speed; low collision, high speed; low collision, low speed), and geographic information system maps of locations were produced to explore the spatial distribution of those locations. Moreover, logistic regression was used to understand the role of different factors in identifying the speed–collision bin to which a certain location belonged. The results reveal that locations with high collision rates but low speeds have a relatively high population of heavy vehicles and trucks as well as high speed variability. As for locations with low collision rates and high speeds, these sites were found to have a high level of protection through the presence of medians and shoulders with relatively low access density.

scholarly journals Understanding employee turnover in humanitarian organizations

2016 ◽  
Vol 48 (4) ◽  
pp. 208-214 ◽  
Author(s):  
Rameshwar Dubey ◽  
Angappa Gunasekaran ◽  
Nezih Altay ◽  
Stephen J Childe ◽  
Thanos Papadopoulos
Keyword(s):  
Employee Turnover ◽  
Factor Loading ◽  
Personal Factors ◽  
Related Factors ◽  
Content Type ◽  
Factors Affecting ◽  
Work Related ◽  
Humanitarian Organizations ◽  
Using Data ◽  
High Level

Purpose – At a time when the number and seriousness of disasters seems to be increasing, humanitarian organizations find that besides their challenging work they are faced with problems caused by a high level of turnover of staff. The paper aims to discuss these issues. Design/methodology/approach – Based on the 24 variables leading to employee turnover identified by Cotton and Tuttle (1986) the authors analyse the work-related, external and personal factors affecting employee turnover in humanitarian organizations, using a survey of members of the Indian National Institute of Disaster Management. Findings – Results indicated that the three factors are present. Of the external factors, only employment perception had a factor loading over 0.7; of the work-related factors, all were significant; of the personal factors, biographical information, marital status, number of dependants, aptitude and ability and intelligence had the highest loadings. It was also shown that behavioural intentions and net expectation were not significant. Originality/value – Only a few studies reported on employee turnover and its reasons are not well understood in the context of humanitarian organizations. To address this need, the aim of this paper is to explore the personal reasons impacting employee turnover in humanitarian organizations. In the study the authors have adopted 24 variables used in Cotton and Tuttle (1986) and classified into constructs to explain turnover, and further tested the model using data gathered from humanitarian organizations.

Mechatronic Design of Mobile Robots for Stable Obstacle Crossing at Low and High Speeds

2015 ◽  
pp. 567-630
Author(s):  
Jean-Christophe Fauroux ◽  
Frédéric Chapelle ◽  
Belhassen-Chedli Bouzgarrou ◽  
Philippe Vaslin ◽  
Mohamed Krid ◽  
...  
Keyword(s):  
Mobile Robot ◽  
Mobile Robots ◽  
High Speed ◽  
Legged Locomotion ◽  
Improve Performance ◽  
Obstacle Crossing ◽  
Low Speed ◽  
Pitch Control ◽  
High Speeds ◽  
Hybrid Locomotion

This chapter presents recent mechatronics developments to create original terrestrial mobile robots capable of crossing obstacles and maintaining their stability on irregular grounds. Obstacle crossing is both considered at low and high speeds. The developed robots use wheeled propulsion, efficient on smooth grounds, and improve performance on irregular grounds with additional mobilities, bringing them closer to legged locomotion (hybrid locomotion). Two sections are dedicated to low speed obstacle crossing. Section two presents an original mobile robot combining four actuated wheels with an articulated frame to improve obstacle climbing. Section three extends this work to a new concept of modular poly-robot for agile transport of long payloads. The last two sections deal with high-speed motion. Section four describes new suspensions with four mobilities that maintain pitch stability of vehicles crossing obstacles at high speed. After the shock, section five demonstrates stable pitch control during ballistic phase by accelerating-braking the wheels in flight.

Klasifikasi Analisis Perbandingan Algoritma Optimasi pada Random Forest untuk Klasifikasi Data Bank Marketing

2021 ◽  
Vol 5 (1) ◽  
pp. 187-192
Author(s):  
Yoga Religia ◽  
Agung Nugroho ◽  
Wahyu Hadikristanto
Keyword(s):  
Data Mining ◽  
Genetic Algorithm ◽  
Random Forest ◽  
Data Bank ◽  
Site Classification ◽  
Algorithm Optimization ◽  
Marketing Data ◽  
Using Data ◽  
Bank Marketing

The world of banking requires a marketer to be able to reduce the risk of borrowing by keeping his customers from occurring non-performing loans. One way to reduce this risk is by using data mining techniques. Data mining provides a powerful technique for finding meaningful and useful information from large amounts of data by way of classification. The classification algorithm that can be used to handle imbalance problems can use the Random Forest (RF) algorithm. However, several references state that an optimization algorithm is needed to improve the classification results of the RF algorithm. Optimization of the RF algorithm can be done using Bagging and Genetic Algorithm (GA). This study aims to classify Bank Marketing data in the form of loan application receipts, which data is taken from the www.data.world site. Classification is carried out using the RF algorithm to obtain a predictive model for loan application acceptance with optimal accuracy. This study will also compare the use of optimization in the RF algorithm with Bagging and Genetic Algorithms. Based on the tests that have been done, the results show that the most optimal performance of the classification of Bank Marketing data is by using the RF algorithm with an accuracy of 88.30%, AUC (+) of 0.500 and AUC (-) of 0.000. The optimization of Bagging and Genetic Algorithm has not been able to improve the performance of the RF algorithm for classification of Bank Marketing data.  

scholarly journals Technology for Healthy Aging: Use of Electronic Communication among Older Adults

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 634-635
Author(s):  
Rumei Yang ◽  
Yan Du ◽  
Haocen Wang ◽  
Zuoting Nie ◽  
Chumin Ji ◽  
...  
Keyword(s):  
Older Adults ◽  
Text Messaging ◽  
Healthy Aging ◽  
Electronic Communication ◽  
Patient Portal ◽  
Care Needs ◽  
Factors Affecting ◽  
Nationally Representative ◽  
Using Data ◽  
High Level

Abstract In the digital era, many electronic platforms have been established to facilitate patient-provider communication, such as e-mail, text messaging, and patient portal. The use of these electronic platforms is termed as electronic-communication (e-communication). E-communication has a variety of personalized healthcare functions, such as exchanging information, reviewing lab results, and facilitating patient engagement. However, little is known about the actual use of e-communication among older adults who are potentially major users of e-communication considering their high-level health care needs. Understanding their use of e-communication is critical in improving the application of e-communication in older adults. Using data from American Health Information National Trends Survey (HINTS2019-Cycle3; n=1,961; meanage =74.10, range=65-98), we explored: 1) the prevalence of e-communication use among older adults, and 2) factors affecting their use of e-communication. Variables were measured by self-reports. Weighted logistic regression with replicate weights provided by the HINTS was performed for data analysis. We found that 50% older adults reported the use of e-communication in the last year. Factors associated with higher likelihood of older adults’ e-communication use included younger age (OR=09.96, 95%CI=0.93-0.98, p<0.001), higher education (OR=4.82, 95%CI=2.32-10.02, p<0.001 for college graduate or higher), higher income (OR=1.58, 95%CI=1.05-2.38, p=0.030), comorbid conditions (OR=1.64, 95%CI=1.02-2.64, p<0.001), and having a regular provider (OR=2.06, 95%CI=1.31-3.22, p=0.002). This study provided nationally representative results demonstrating a great potential use of e-communication in older adults. Special attention is needed to focus on socially vulnerable older adults (e.g., those with older age, lower education and income, and having comorbidity).

scholarly journals Robotic High Speed Machining of Aluminum Alloys

2011 ◽  
Vol 188 ◽  
pp. 584-589 ◽  
Author(s):  
Imed Zaghbani ◽  
M. Lamraoui ◽  
V. Songmene ◽  
M. Thomas ◽  
M. El Badaoui
Keyword(s):  
Stability Criterion ◽  
High Speed ◽  
Spindle Speed ◽  
Machining Process ◽  
Robotic Machining ◽  
Machined Parts ◽  
Machining System ◽  
Using Data ◽  
Manufacturing Technologies ◽  
High Level

The robotic machining is one of the most versatile manufacturing technologies. Its emerging helped to reduce the machining cost of complex parts. However, its application is sometimes limited due to the low rigidity of the robot. This low stiffness leads to high level of vibrations that limit the quality and the precision of the machined parts. In the present study, the vibration response of a robotic machining system was investigated. To do so, a new method based on the variation of spindle speed was introduced for machining operation and a new process stability criterion (CS) based on acceleration energy distribution and force signal was proposed for analysis. With the proposed method the vibrations and the cutting force signals were collected and analyzed to find a reliable dynamic stability machining domain. The proposed criterion and method were validated using data obtained during high speed robotic machining of 7075-T6 blocks. It was found that the ratio of the periodic energy on the total energy (either vibrations or cutting forces) is a good indicator for defining the degree of stability of the machining process. Besides, it was observed that the spindle speed with the highest ratio stability criterion is the one that has the highest probability to generate the best surface finish. The proposed method is rapid and permits to avoid trial-error tests during robot programming.

scholarly journals Analysis of interrelation between level of mobility and transport expenses of population

2019 ◽  
Vol 5 (3) ◽  
pp. 59-71
Author(s):  
Svetlana G. Bondar
Keyword(s):  
High Speed ◽  
Consumer Price Index ◽  
Population Increase ◽  
Passenger Transport ◽  
Factors Affecting ◽  
Passenger Traffic ◽  
Transport Services ◽  
High Level ◽  
The Cost ◽  
Transport Mobility

Passenger transport is a basis in the transport system of any country. The task of transport is to provide an opportunity for every person to reach any point of our planet, not only safely, comfortably and quickly, but with little expenses. Aim: the arm of this study is to evaluate dynamics and share of transport expenses in population of the Russian Federation, and to study interrelation between figure of transport expenses of population and its transport mobility, and passenger transport fares. Methods: to achieve the set aim, such common scientific methods as observation, analysis, generalization, and analogy were used. Results: it is noted that transport expenses of the population increase at a slower pace than consumer spending. When considering the factors affecting the transportation costs of the population, it was determined that against the background of decreasing volumes of passenger traffic there is an increase in transportation tariffs. When comparing the indices of passenger tariffs and the consumer price index, a rapid increase in the cost of passenger traffic compared to prices for consumer goods was noted, which makes transport services less accessible to the public. Conclusion: The accelerating pace of life and economic realities today pose to transport companies certain tasks to ensure high speeds. High-speed ground transportation is coming to the fore, one of the types of which is a magnetic-vehicle transport, which, in addition to high speed, has certain advantages, such as safety, comfort, energy efficiency and high throughput. The development of new high-speed modes of transport, including a magnetic-casting, will ensure a high level of transport mobility and, accordingly, the country's economic development.

Oxygen uptake and heart rate response of 6 standardized tennis drills

2012 ◽  
Vol 37 (5) ◽  
pp. 982-989 ◽  
Author(s):  
Nabyl Bekraoui ◽  
Marie-Agnès Fargeas-Gluck ◽  
Luc Léger
Keyword(s):  
Heart Rate ◽  
Oxygen Uptake ◽  
Energy Cost ◽  
High Speed ◽  
Heart Rate Response ◽  
Half Width ◽  
Full Width ◽  
Tennis Players ◽  
Low Speed ◽  
High Speeds

The purpose of this study was to compare the oxygen uptake of various on-court tennis drills. Eleven tennis players were monitored with a portable metabolic device to measure oxygen uptake of 6 different tennis drills at low and high speeds. The 6 drills were done with or without striking the ball, over half or full-width of the court, in attack or defense mode, using forehand or backhand strokes. Oxygen uptake values (mean ± SD) ranged from 33.8 ± 4.2 to 42.3 ± 5.1 mL·kg–1·min–1 when running at low speed on the full-width court in defense mode without striking the ball and when running at high speed on the full-width court in attack mode while striking the ball, respectively. Specific differences were observed. Attacking mode requires 6.5% more energy than defensive playing mode. Backhand strokes demand 7% more energy at low speed than forehand ones. Running and striking the ball costs 10% more energy than running without striking the ball. While striking the ball, shuttle running on half-width court costs 14% more energy than running on full-width courts. The specificity of the oxygen uptake responses obtained for these various tennis drills gives an improved representation of their energy cost and could be used to optimize training loads.

scholarly journals ANALYSIS OF HIGH-SPEEDRUNNING AND SPRINT RUNNING IN ELITE FEMALE FOOTBALL COMPETITIONS

2021 ◽  
Author(s):  
Oana-Ruxandra Stîncel ◽  
Cristian Lazăr ◽  
Vlad Nicoară ◽  
Mihaela Oravițan
Keyword(s):  
High Speed ◽  
Sampling Rate ◽  
Maximum Speed ◽  
Published Data ◽  
Physical Conditioning ◽  
Running Speed ◽  
Low Speed ◽  
Total Distance ◽  
Sprint Running ◽  
High Level

Introduction: Although football is recognized as the fastest growing sport globally, scientific literature on female footballis still limited. Available published data in understanding the physical demands of female football players have described the necessity of a high level of physical conditioning during matches with average heart rates of 84-86% maximum heart rate and an average of 9.1-11.9 km in total distance covered in the running. The most commonly utilized physical performance measures reported are high-speed running (19km/h-23km/h) and sprinting (>23 km/h). A better understanding of football's physical, technical and tactical demands has resulted from investigations of both training and matches by wearing a global positioning system unit.Objective: This study aimed to assess the running speed and the proportions of different types of running during official competitions in elite female football players.Material and Method: A total of 22 female players (16 seniors and six juniors) that are part of a Romanian First League female football team -Politehnica Timisoara, have been monitored for running speed and covered distance in 6 official matches, which represent a quarter of the championship period. The assessment period was ten weeks (August-October 2021). The monitored parameters (total distance, distance/minute, low speed running, high speed running, sprint running, and maximum speed) wereobtained using K-Sport GPS with a high sampling rate of 50 Hz.Results: During the six analyzed matches the following average values were found: total covered distance -7906.33 ± 1176.68 m, distance/minute -90.83 ± 3.72 m/min, low-speed running distance-7598.50 ± 1102.16 m, high-speed running distance -308 ± 101.31 m, sprint running distance -69.50 ± 28.54 m, and maximum speed -25.13 ± 0.84 km/h.Conclusion: Regarding the monitored parameters (total distance, average speed, proportion of different speed running, maximum speed), we observed a constancy between different matches. During female football matches, high-speed running and sprinting covered 4.77% of the total distance. Based on this data, a future training objective would be the enhancement of this percentage in order to optimize the key moments of the matches.

Design and Implementation of High Speed Vedic Multiplier in SPARTAN 3 FPGA Device

2017 ◽  
Vol 6 (01) ◽  
pp. 14-19
Author(s):  
Prof. Parvaneh Basaligheh
Keyword(s):  
Signal Processing ◽  
High Speed ◽  
Hardware Implementation ◽  
Digital Signal ◽  
Digital Systems ◽  
Design And Implementation ◽  
Multiplication Operation ◽  
High Speeds ◽  
Vedic Multiplier ◽  
High Level

Digital systems which are more effective are necessary due to the enormous growth in the technology. So, we go for multipliers which are playing a key role in each and every digital domain device. Also, designing a multiplier with high speeds to perform ALU operations is an important aspect in digital signal processing. These operations are used for DFT, convolution etc. Hence, professionals in DSP domain are trying to develop innovative algorithms and hardware implementation. It is very essential to employ a multiplier which is more effective. They are many standard algorithms that are existing to reduce the area and time needed for execution. Vedic era described algorithms in vedic mathematics that supply an efficiency which are of high level. They provide 16 sutras for the operation of multiplication. Here, we discuss about urdhva tiryakbhyam algorithm for multiplication operation. Therefore, vedic algoritm provides better efficiency in comparison to that of conventional multipliers.

Explaining Citizens’ E-Participation Usage

2016 ◽  
Vol 49 (3) ◽  
pp. 423-442 ◽  
Author(s):  
Yueping Zheng
Keyword(s):  
Citizen Participation ◽  
Public Service ◽  
Information And Communications Technology ◽  
Internet Usage ◽  
Political Activities ◽  
Factors Affecting ◽  
Political Perceptions ◽  
Using Data ◽  
High Level

Information and communications technology (ICT) not only improves public service delivery but also enables governments to better engage citizens, called “e-participation.” Although efforts have been taken to promote citizen participation online, e-participation utilization remains at a low level. To better understand this phenomenon, scholars have explored the factors affecting citizens’ e-participation usage, such as sociodemographic characteristics, Internet usage, political perceptions, off-line political activities, and so forth. However, the role of e-participation applications’ functionality has been overlooked. Using data from the 2012 European Union (EU) eGovernment survey, this study found that functionality is positively associated with citizens’ e-participation usage and high-level functionality motivates citizens to use e-participation more.

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