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Journal articles on the topic 'Car handle'

Author: Grafiati

Published: 4 June 2021

Last updated: 9 February 2022

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1

Harran, Evender. "Fragile: handle with care. Protecting babies from harm." Child Abuse Review 11, no. 1 (2002): 65–70. http://dx.doi.org/10.1002/car.714.

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Wan, Xin Ru, Jian Ming Che, and Lu Han. "Car Styling Perceptual Modeling Based on Fuzzy Rules." Applied Mechanics and Materials 201-202 (October 2012): 794–97. http://dx.doi.org/10.4028/www.scientific.net/amm.201-202.794.

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Abstract. In today’s automotive market with intense competition, car styling preferences directly affect designer’s design outcome. At the meantime, there are various types of car styles, however users’ emotional evaluations of them are messy. Thus establishing a perceptual extraction model of vehicles is necessary. Under common circumstances, we quantify the emotional human perceptual through digitized human perceptual data obtained by questionnaires. However, it is emotional and thus difficult to analyze. In order to analyze perceptual data, the general method is statistical methods, such as

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Lee, Unghui, Jiwon Jung, Seokwoo Jung, and David Hyunchul Shim. "Development of a self-driving car that can handle the adverse weather." International Journal of Automotive Technology 19, no. 1 (2017): 191–97. http://dx.doi.org/10.1007/s12239-018-0018-z.

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Kumar, Samudra Shant, Chirag V. Mali, and Harsh Vinay Kshirsagar Prof Shital Patel. "Implementation of Functional Analysis using Value Analysis Value Engineering Vave on Car Outside Handle." International Journal of Trend in Scientific Research and Development Volume-2, Issue-3 (2018): 1922–27. http://dx.doi.org/10.31142/ijtsrd11428.

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Ferber, Dan. "Off to the Races." Mechanical Engineering 138, no. 01 (2016): 36–41. http://dx.doi.org/10.1115/1.2016-jan-2.

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This article is on the efforts that are being made to manufacture and launch automatic cars successfully. Chris Gerdes and his team have been doing research and putting lot of efforts in designing self-driving cars that can handle emergencies even better than the very best human drivers. The research team studies professional race car drivers to learn minutest details for their algorithms and measurements. In a way, the research team analysts teach a car to drive like a race car driver - to calculate when to brake before a turn, how much to let up on the brake entering a turn, and how much to

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Tang, Qinrui, Huijun Liu, and Bernhard Friedrich. "Lane-based signal optimization with left turn prohibition in urban road networks." Canadian Journal of Civil Engineering 46, no. 2 (2019): 73–80. http://dx.doi.org/10.1139/cjce-2018-0079.

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Left turns may generate efficiency problems, which can be solved by appropriately prohibiting left turns. The goal of this paper is to propose a method for purpose of minimizing total travel times in urban road networks by prohibiting left turns. With left turn prohibition, the signal timing plan is optimized with the lane-based method because the method can adequately handle both signal timing optimization and lane assignment. The total travel time is calculated with link flows and link travel time being estimated with signal settings. As illustrated by numerical examples, prohibiting left tu

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Et. al., Piyush Singhal,. "RFID Based Vehicle Toll Collection System for Toll Roads." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 2 (2021): 2104–13. http://dx.doi.org/10.17762/turcomat.v12i2.1815.

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The RFID-based vehicle collection program is intended to better handle toll operations through technology that aims to streamline the flow of vehicles. The purpose of this work is to plan, introduce and promote the automated operation of the car selection system (VTS). The Vehicle Toll Collection Device in this paper automatically detects vehicles and gathers machine-readable details on tolls for automobiles driving in the toll road. This knowledge is instigated by the modification and installation of at least one vehicle with a moving vehicle detection device. The computerized control device

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Yao, Xuelian, Yi Yang, and Mingming Su. "A novel adaptive actuator failure compensation scheme based on multi-design integration for half-car active suspension system." Advances in Mechanical Engineering 11, no. 12 (2019): 168781401989409. http://dx.doi.org/10.1177/1687814019894097.

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A new actuator failure compensation scheme in the presence of actuator failures with multi-uncertainties is proposed for half-car active suspension systems based on multi-design integration. A parameterized function has been introduced to denote the multiple failures occurred in the front and rear actuators. An effective feedback controller is designed to obtain asymptotic tracking and closed-loop system stability by employing backstepping technique. Based on the desired controller, multiple adaptive control signals are designed corresponding to each possible failure case. By introducing failu

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Ghaith, Alaa A. "Universal-Filtered Multi-Carrier: A Waveform Candidate for 5G." International Journal for Innovation Education and Research 6, no. 6 (2018): 37–50. http://dx.doi.org/10.31686/ijier.vol6.iss6.1054.

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The emerging Internet of Things will make the next generation 5G systems to support a broad range of diverse needs with greater efficiency requirements. The new class of services will need a higher data rates, to handle these demands, the lowest layer of the 5G systems must be flexible. Therefore, the waveform will have an important role in offering these new requirements. These waveforms should enable efficient multiple access to handle the requirements of the future wireless communication system. This means that the corresponding required waveforms should be able to handle as much different

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Cardoso Llach, Daniel, and Robin Forrest. "Of algorithms, buildings and fighter jets: a conversation with Robin Forrest." Architectural Research Quarterly 21, no. 1 (2017): 53–64. http://dx.doi.org/10.1017/s1359135517000173.

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A founding member of the Computer-Aided Design Group at the University of Cambridge, UK, and a student and collaborator of CAD pioneer Steven A. Coons at MIT, Robin Forrest occupies an important place in the history of computational design. Along with important contributions to the mathematics of shape representation, his coining of the term ‘computational geometry’ in 1971 offered a handle on design techniques that started to emerge – somewhat uncomfortably at first – in the interstices of engineering, mathematics, and the fledgling field of computer science. Initially fostered by governments

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Lin, Ming, and Byeongwoo Kim. "Extended Particle-Aided Unscented Kalman Filter Based on Self-Driving Car Localization." Applied Sciences 10, no. 15 (2020): 5045. http://dx.doi.org/10.3390/app10155045.

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The location of the vehicle is a basic parameter for self-driving cars. The key problem of localization is the noise of the sensors. In previous research, we proposed a particle-aided unscented Kalman filter (PAUKF) to handle the localization problem in non-Gaussian noise environments. However, the previous basic PAUKF only considers the infrastructures in two dimensions (2D). This previous PAUKF 2D limitation rendered it inoperable in the real world, which is full of three-dimensional (3D) features. In this paper, we have extended the previous basic PAUKF’s particle weighting process based on

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Yang, Wen Chuan, Guang Jie Lin, and Jiang Yong Wang. "A MapReduce Clone Car Identification Model over Traffic Data Stream." Applied Mechanics and Materials 346 (August 2013): 117–22. http://dx.doi.org/10.4028/www.scientific.net/amm.346.117.

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Accompany the widely use of Intelligent Traffic in China, all traffic input data streams to the Traffic Surveillance Center (TSC). Some metropolitan TSC, such as in Beijing, produces up to 18 million records and 1T image data arriving every hour. Normally, the job of the TSC is to monitor and retain data. There is a tendency to put more capability into the TSC, such as ad-hoc query for clone car identification and feedback abnormal traffic information. Thus we definitely need to think about what can be kept in working storage and how to analysis it. Obviously, the ordinary database cannot hand

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FANG, JUN, ZHENG QIN, XIQUN CHEN, and ZHAOHUI XU. "JAMMING TRANSITION OF POINT-TO-POINT TRAFFIC THROUGH CO-OPERATIVE MECHANISMS." International Journal of Modern Physics C 23, no. 11 (2012): 1250077. http://dx.doi.org/10.1142/s0129183112500775.

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We study the jamming transition of two-dimensional point-to-point traffic through co-operative mechanisms (DCM) using computer simulation. We propose two decentralized co-operative mechanisms CM which are incorporated into the point-to-point traffic models: stepping aside (CM-SA) and choosing alternative routes (CM-CAR). Incorporating CM-SA is to prevent a type of ping-pong jumps from happening when two objects standing face-to-face want to move in opposite directions. Incorporating CM-CAR is to handle the conflict when more than one object competes for the same point in parallel update. We in

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Yang, Wen Chuan, He Chen, and Qing Yi Qu. "Research of a MapReduce Model to Process the Traffic Big Data." Applied Mechanics and Materials 548-549 (April 2014): 1853–56. http://dx.doi.org/10.4028/www.scientific.net/amm.548-549.1853.

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Normally, the job of the Traffic Data Processing Center (TDPC) is to monitor and retain data. There is a tendency to put more capability into the TDPC, such as ad-hoc query for speeding car identification and feedback abnormal traffic information. Thus we definitely need to think about what can be kept in working storage and how to analysis it. Obviously, the ordinary database cannot handle the massive dataset and complex ad-hoc query. MapReduce is a popular and widely used fine grain parallel runtime, which is developed for high performance processing of large scale dataset. In this paper, we

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Hutchinson, Harry. "Containing Risk." Mechanical Engineering 129, no. 06 (2007): 32–35. http://dx.doi.org/10.1115/1.2007-jun-2.

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This article discusses innovative ways for transporting hazardous materials. Many materials classified as hazardous are not directly toxic to human beings, but represent risks to the environment. Hazardous materials include whiskey, contaminated soil, and motor oil. Researchers have found new insulating materials that will take up less room and still give the same thermal protection, or perhaps better. The project is investigating materials from companies that include Microthermal and Aspen Aerogels. Reducing the thickness of insulation material leaves space for new materials to add strength t

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Ariany, Zulfaidah, A. Hendra, and Samual Febriary. "STANDART PELAYANAN MINIMAL (SPM) DAN SISTEM LASING PADA KAPAL RO-RO UNTUK KESELAMATAN TRANSPORTASI PENYEBRANGAN LAUT (Studi Kasus KMP. LEGUNDI)." GEMA TEKNOLOGI 20, no. 1 (2018): 26. http://dx.doi.org/10.14710/gt.v20i1.21081.

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Zulfaidah Ariany, A Hendra, Samual Febriary, in this paper explain that LEGUNDI is a Passanger Ship which has a Surabaya - Lombok shipping route capable of transporting passengers and vehicles in relatively large numbers. Research Minimum Service Standards (SPM) and Lasing System on Ro-Ro Ship for Marine Transportation Safety is aimed to know about Minimum Service Standards (SPM) and how to handle the Lasing system on Ro-Ro KMP LEGUNDY. The reference used is Minister of Transportation Regulation no 30 of 2016 regarding minimum service standard. The analysis used is simulation of shear load cal

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Sybilski, Kamil, and Jerzy Małachowski. "Impact of Disabled Driver’s Mass Center Location on Biomechanical Parameters during Crash." Applied Sciences 11, no. 4 (2021): 1427. http://dx.doi.org/10.3390/app11041427.

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Adapting a car for a disable person involves adding additional equipment to compensate for the driver’s disability. During this process, the change in the driver’s position and kinematics and their impact on safety levels during crash is not considered. There is also a lack of studies in the literature on this problem. This paper describes a methodology for conducting a study of the behavior of a disabled driver during a crash using the finite element method, based on an explicit time integration method. A validated car model and a commercial dummy model were used. The results show that the us

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Ow, HuiNee, Muataz H. Salih, and ChinBeng Lim. "Design and implementation of laser based intelligent embedded dual modes cruise control system using FPGA." Indonesian Journal of Electrical Engineering and Computer Science 13, no. 3 (2019): 1014. http://dx.doi.org/10.11591/ijeecs.v13.i3.pp1014-1021.

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<span>Cruise control system is also known as speed control which use to take over the car from the driver and stabilize the car with the speed had been set. It is one of the important elements in the intelligent vehicles. Currently, driver has to accelerate the car until certain speed in order to activate cruise control system. After it had been activated, driver still needs to put on attention to decelerate the car when there is another one in front and possibility to get accident is high. To overcome this problem and enhance current cruise system, this project has two laser-based worki

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Wang, Yi Qiang, Rui Jian Huang, Tian Yi Xu, and Ke Hong Tang. "Vehicle Model Recognition Based on Fuzzy Pattern Recognition Method." Advanced Materials Research 383-390 (November 2011): 4799–802. http://dx.doi.org/10.4028/www.scientific.net/amr.383-390.4799.

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The method based on the theory of Fuzzy Pattern Recognition is divided into three parts. Firstly, use Hough transformation to extract the feature points of vehicles, and use the ratio between two absolute distance of adjacent feature points as the characteristic values of vehicles; secondly, use Fuzzy C-mean Classification to handle feature data of 75 car model, then establish a degree of membership matrix as the sample space; thirdly, consider the classification algorithm based on fuzzy approach degree and the credibility of the vehicle feature to propose a weighted close- degree recognition

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Yang, Chong, Fan Zhang, Yunlong Gao, Zhu Mao, Liang Li, and Xianfeng Huang. "Moving Car Recognition and Removal for 3D Urban Modelling Using Oblique Images." Remote Sensing 13, no. 17 (2021): 3458. http://dx.doi.org/10.3390/rs13173458.

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With the progress of photogrammetry and computer vision technology, three-dimensional (3D) reconstruction using aerial oblique images has been widely applied in urban modelling and smart city applications. However, state-of-the-art image-based automatic 3D reconstruction methods cannot effectively handle the unavoidable geometric deformation and incorrect texture mapping problems caused by moving cars in a city. This paper proposes a method to address this situation and prevent the influence of moving cars on 3D modelling by recognizing moving cars and combining the recognition results with a

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Margalit, G. "(A285) Hospital Preparation for Mass Casualty Events." Prehospital and Disaster Medicine 26, S1 (2011): s79. http://dx.doi.org/10.1017/s1049023x1100269x.

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BackgroundHospitals handle numerous tasks whose fundamental purpose is to provide medical treatment. Amongst these, the hospital prepares for the treatment of trauma patients who have been involved in car accidents, injuries at work and industrial accidents. These preparations, although part of the operative conventions of the hospital, do not guarantee the ability to handle Mass Casualty Events which require unique and dedicated preparation and a different operational approach. This paper presents the hospital approach of handling Emergency Mass Casualty Events.The ApproachThe preparations re

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Parsons, Stuart O. "Falling out of Trains." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 40, no. 10 (1996): 501–5. http://dx.doi.org/10.1177/154193129604001004.

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Approximately ten cases have been documented of people falling out of the side exit doors of moving passenger trains throughout the US. Most of these individuals were elderly passengers and the events usually happened late at night. Amtrak has classified most of these accidents as individuals with mental disorders or suicidal tendencies. Legal actions at the present time have been dismissed by the courts due primarily to the lack of any witnesses to the events. An investigation was conducted of a passenger car allegedly involved in one of these accidents. A number of recommendations were made

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Oliver-Ortega, Helena, Fernando Julian, Francesc X. Espinach, Quim Tarrés, Mònica Ardanuy, and Pere Mutjé. "Research on the use of lignocellulosic fibers reinforced bio-polyamide 11 with composites for automotive parts: Car door handle case study." Journal of Cleaner Production 226 (July 2019): 64–73. http://dx.doi.org/10.1016/j.jclepro.2019.04.047.

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Iqbal, Umar, Jacques Georgy, Michael J. Korenberg, and Aboelmagd Noureldin. "Nonlinear Modeling of Azimuth Error for 2D Car Navigation Using Parallel Cascade Identification Augmented with Kalman Filtering." International Journal of Navigation and Observation 2010 (October 10, 2010): 1–13. http://dx.doi.org/10.1155/2010/816047.

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Present land vehicle navigation relies mostly on the Global Positioning System (GPS) that may be interrupted or deteriorated in urban areas. In order to obtain continuous positioning services in all environments, GPS can be integrated with inertial sensors and vehicle odometer using Kalman filtering (KF). For car navigation, low-cost positioning solutions based on MEMS-based inertial sensors are utilized. To further reduce the cost, a reduced inertial sensor system (RISS) consisting of only one gyroscope and speed measurement (obtained from the car odometer) is integrated with GPS. The MEMS-ba

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Liu, Guichi, Lei Gao, and Lin Qi. "Hyperspectral Image Classification via Multi-Feature-Based Correlation Adaptive Representation." Remote Sensing 13, no. 7 (2021): 1253. http://dx.doi.org/10.3390/rs13071253.

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In recent years, representation-based methods have attracted more attention in the hyperspectral image (HSI) classification. Among them, sparse representation-based classifier (SRC) and collaborative representation-based classifier (CRC) are the two representative methods. However, SRC only focuses on sparsity but ignores the data correlation information. While CRC encourages grouping correlated variables together but lacks the ability of variable selection. As a result, SRC and CRC are incapable of producing satisfied performance. To address these issues, in this work, a correlation adaptive

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Mai, Van Ngoc, Dal-Seong Yoon, Seung-Bok Choi, and Gi-Woo Kim. "Explicit model predictive control of semi-active suspension systems with magneto-rheological dampers subject to input constraints." Journal of Intelligent Material Systems and Structures 31, no. 9 (2020): 1157–70. http://dx.doi.org/10.1177/1045389x20914404.

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This article presents vibration control of a semi-active quarter-car suspension system equipped with a magneto-rheological damper that provides the physical constraint of a damping force. In this study, model predictive control was designed to handle the constraints of control input (i.e. the limited damping force). The explicit solution of model predictive control was computed using multi-parametric programming to reduce the computational time for real-time implementation and then adopted in the semi-active suspension system. The control performance of model predictive control was compared wi

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FURUBAYASHI, Tatekado, and Masayoshi WADA. "1A2-D11 A Study on the Automatic Driving of the Car with Drive Assist device which operates Handle and Pedals(Network Robotics)." Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) 2013 (2013): _1A2—D11_1—_1A2—D11_3. http://dx.doi.org/10.1299/jsmermd.2013._1a2-d11_1.

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Candelo, Elena, Diego Matricano, and Mario Sorrentino. "Top Management Involvement in Open Innovation Processes: Learning from a Global Carmaker." International Business Research 11, no. 7 (2018): 142. http://dx.doi.org/10.5539/ibr.v11n7p142.

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Over the last decades, management scholars have largely investigated several aspects related to Open Innovation Processes – OIPs that concern the beginning, the diffusion and the future developments of the phenomenon, its typologies, its linkages with strategies and business models, its implementation, and even errors to be avoided when managing them. However, there is one aspect that seems to be underexplored and this deals with the involvement of top management.OIPs, like all the other managerial activities, need to be planned and defined ex ante; implemented, launched and managed; analyzed

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Silva, F. J. G., M. R. Soares, L. P. Ferreira, et al. "A Novel Automated System for the Handling of Car Seat Wires on Plastic Over-Injection Molding Machines." Machines 9, no. 8 (2021): 141. http://dx.doi.org/10.3390/machines9080141.

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The structure of car seats is becoming increasingly complex, with mixing of wire conformation and plastic injection. The plastic over-molding process implies some labor, which can be reduced if novel solutions are applied in this manufacturing area. The handling of the wires used in car seats is the main problem identified in the process, wasting time both in the feeding and in the extraction of the molds used in the wire over-molding process. However, these machines are usually extremely compact and the free space around them is too short. In classic molding injection machines, there are just

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Li, Li, Dong Zhang, Zhi-gang Xu, Ping Wang, and Gui-ping Wang. "The Roles of Car Following and Lane Changing Drivers’ Anticipations during Vehicle Inserting Process: A Structural Equation Model Approach." Journal of Advanced Transportation 2018 (November 12, 2018): 1–19. http://dx.doi.org/10.1155/2018/6372861.

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Anticipating ability is a skill that drivers count on to handle risky tasks in the traffic. This paper explores how the drivers of lane changing vehicle and its immediately car follower anticipate surrounding vehicles’ movements and adjust their manoeuvers during vehicle inserting process. The drivers’ anticipating mechanisms are modelled in the framework of structural equation model and estimated from field data. Results show that the change of lane changing type or traffic signal affects the drivers’ anticipation. Increased vehicle speed impels subject driver to anticipate driving condition

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Saiáns-Vázquez, José, Esteban Ordóñez-Morales, Martín López-Nores, et al. "Intersection Intelligence: Supporting Urban Platooning with Virtual Traffic Lights over Virtualized Intersection-Based Routing." Sensors 18, no. 11 (2018): 4054. http://dx.doi.org/10.3390/s18114054.

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The advent of the autonomous car is paving the road to the realization of ideas that will help optimize traffic flows, increase safety and reduce fuel consumption, among other advantages. We present one proposal to bring together Virtual Traffics Lights (VTLs) and platooning in urban scenarios, leaning on vehicle-to-vehicle (V2V) communication protocols that turn intersections into virtual containers of data. Newly-introduced protocols for the combined management of VTLs and platoons are validated by simulation, comparing a range of routing protocols for the vehicular networks with the baselin

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Nilsang, Suriyaphong, Chumpol Yuangyai, Sirisuda Buatongkue, and Chen-Yang Cheng. "Allocation strategy for an ambulance base under traffic congestion." MATEC Web of Conferences 192 (2018): 01026. http://dx.doi.org/10.1051/matecconf/201819201026.

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One of crucial issues for emergency medical service (EMS) is to reduce response time. However, in metropolis city, a traffic congestion is an obstacle for an ambulance to responsively reach at the scene, then patient mortality and disability rates increase. Traffic congestion is considered as a complex spatial–temporal situation. It is often triggered by repeating factors, such as car lane capacity, weather, and unexpected events. Therefore, a real-time traffic condition is required to effectively determine the location of an ambulance. The current ambulance base allocation strategy model cons

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Li, Kangning, Shangshang Wang, Chang Du, Yuxin Huang, Xin Feng, and Fengfeng Zhou. "Accurate Fatigue Detection Based on Multiple Facial Morphological Features." Journal of Sensors 2019 (February 28, 2019): 1–10. http://dx.doi.org/10.1155/2019/7934516.

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Fatigue driving is becoming a dangerous and common situation for drivers and represents a significant factor for fatal car crashes. Machine learning researchers utilized various sources of information to detect driver’s drowsiness. This study integrated the morphological features of both the eye and mouth regions and extensively investigated the fatigue detection problem from the aspects of feature numbers, classifiers, and modeling parameters. The proposed algorithm REcognizing the Drowsy Expression (REDE) achieved the 10-fold cross-validation accuracy 96.07% and took about 21 milliseconds to

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Jurdeczka, Uwe. "Concept for completeness checking of joined structures exemplified on rail vehicle car body shells." Journal of Sensors and Sensor Systems 6, no. 1 (2017): 53–63. http://dx.doi.org/10.5194/jsss-6-53-2017.

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Abstract. Completeness checking of constructional steel structures with several hundred weld-on parts (mountings, such as car body shells/chassis for rail vehicles, for example) still represents a great challenge. It has been performed manually so far. By the use of 3-D scanners, it is possible to obtain sufficiently comprehensive information about the actual configuration (as-is state) of the constructional steel structure to be checked. For this purpose, the laser beam geometry must be contemplated. By using an adapted algorithm for post-processing of the resulting point clouds, difference f

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Wang, Dongchu, Xiang Li, Liyuan Qiu, et al. "Detecting 24 Kinds of Cytokines Via Flow Cytometry Aimplex Kit Is an Effective Way to Monitor CRS after CAR-T Cells Infusion." Blood 136, Supplement 1 (2020): 50–51. http://dx.doi.org/10.1182/blood-2020-138404.

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Introduction: Cytokine release syndrome (CRS) is a serious side effect of chimeric antigen receptor-T cell (CAR-T) therapy. Effective cytokine monitoring can provide support for early prevention and treatment. As more and more promising markers have been identified to be associated with CRS responses, traditional ELISA method is inapplicable because it's sample-consuming, low flexibility, and difficult to detect multiple cytokines simultaneously. Aimplex kit, a new high-throughput technique based on flow cytometry(FCM) and micro beads has been testified a effective way to monitor multiple cyto

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Tella, José L., Pedro Romero-Vidal, Francisco V. Dénes, et al. "Roadside Car Surveys: Methodological Constraints and Solutions for Estimating Parrot Abundances across the World." Diversity 13, no. 7 (2021): 300. http://dx.doi.org/10.3390/d13070300.

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Parrots stand out among birds because of their poor conservation status and the lack of available information on their population sizes and trends. Estimating parrot abundance is complicated by the high mobility, gregariousness, patchy distributions, and rarity of many species. Roadside car surveys can be useful to cover large areas and increase the probability of detecting spatially aggregated species or those occurring at very low densities. However, such surveys may be biased due to their inability to handle differences in detectability among species and habitats. We conducted 98 roadside s

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Liu, Ji. "Optimization and Management in Order to Drive Targeted Networking Memory Database." Applied Mechanics and Materials 727-728 (January 2015): 965–68. http://dx.doi.org/10.4028/www.scientific.net/amm.727-728.965.

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In today's vehicle networking system architecture is mainly composed of four parts: sensor networks, wireless communication networks, cloud computing platforms and vehicle terminal. Wireless sensor network is responsible for the front of the real-time collection of traffic information, a wireless communication network to send information to the backend of the cloud computing platform, cloud computing platform to handle a large number of vehicles to collect real-time information from the front, and finally sends the information to the end user. In this thesis, this car networking research backg

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Zhang, Jie, Xiao Dan Guan, Yan Sun, and Xue Jie Wei. "Study on Oil Pipeline Leakage Detection Based on Stress Wave Detection Technique and Wavelet Analysis." Advanced Materials Research 694-697 (May 2013): 1368–71. http://dx.doi.org/10.4028/www.scientific.net/amr.694-697.1368.

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Based on stress wave detection technique and wavelet analysis, oil pipeline leakage detection system is designed. Through vibration sensor put on the pipeline, vibration signal of pipeline is collected. The signal is used to preliminary assessment with DSP processing unit within the system, and then the feature of threat events is extracted. The information is uploaded to the centre of security central station of system by GPRS signal. At this, signal wavelet analysis is done for leakage detection. Based on LabVIEW platform, on oil pipeline leakage monitoring interface, threat events is alarme

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Testa, Bridget Mintz. "Emergency Repair." Mechanical Engineering 138, no. 04 (2016): 44–49. http://dx.doi.org/10.1115/1.2016-apr-3.

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This article states one of the extravehicular activity (EVA) incidence that happened in NASA space station. It also highlights how NASA carefully considers checklists for the emergency repairs and EVAs. EVAs – spacewalks – are planned months, even years in advance. The astronauts who are scheduled to perform them spend hour upon hour practicing them in the controlled environment of the Johnson Space Center in Houston. Expedition 46 Commander Scott Kelly and Flight Engineer Tim Kopra successfully repaired the International Space Station's Mobile Transporter rail car during a three-hour and 16-m

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Mansouri, M., M. Holgerson, M. M. Khonsari, and W. Aung. "Thermal and Dynamic Characterization of Wet Clutch Engagement With Provision for Drive Torque." Journal of Tribology 123, no. 2 (2000): 313–23. http://dx.doi.org/10.1115/1.1329856.

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Wet clutches that handle the gearshifts in automatic transmission undergo severe thermal stresses due to the occurrence of large temperature gradients during engagement. To accurately design wet clutches, better models to simulate the engagement process are needed. This work presents a finite element model for simulating wet clutch engagements. The total friction coefficient was used to describe the different lubrication regimes that a wet clutch engagement undergoes. The model also includes provision for drive torque that realistically simulates the engine torque of a car. The results of the

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GRÜNEBERGER, Patrick, Bernhard JOCHAM, and Ernst WINKLHOFER. "Diesel combustion in high load situations: a visual analysis of mixture formation and air utilization." Combustion Engines 169, no. 2 (2017): 3–6. http://dx.doi.org/10.19206/ce-2017-201.

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As fuel injection pressures keep rising, questions focus on additional benefits to be gained from the considerable efforts to achieve and handle the fuel pressure increments. The aim of fuel injection processes is to support the mixing of fuel molecules with oxygen. The steps towards this goal include fuel atomization, evaporation, heat transfer from air into the liquid or vaporized fuel together with transport of fuel for best air utilization. Engineering degrees of freedom include the parameters of the fuel injection system and handling of in-cylinder gas conditions. The paper describes basi

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Mao, Na, and Jie Tan. "A Framework of RFID-Based Complex Event Processing System for Assembly Manufacturing." Applied Mechanics and Materials 751 (April 2015): 287–92. http://dx.doi.org/10.4028/www.scientific.net/amm.751.287.

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Owing to the dynamic and competitive business environment, manufacturing companies take real-time monitoring and rapid decision making based on RFID applications, which brings huge volume of information and events generated in the defined manufacturing workflows. Complex Event Processing (CEP) is introduced to solve the problems mentioned above. CEP is applied to handle diverse and large amount of low-level multiple data and primitive events for the purpose of identifying meaningful event patterns. It is very important to integrate the CEP technology to the manufacturing workflows. In this pap

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Reina, Giulio, Antonio Leanza, and Arcangelo Messina. "On the vibration analysis of off-road vehicles: Influence of terrain deformation and irregularity." Journal of Vibration and Control 24, no. 22 (2018): 5418–36. http://dx.doi.org/10.1177/1077546318754682.

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Surface irregularity acts as a major excitation source in off-road driving that induces vibration of the vehicle body through the tire assembly and the suspension system. When adding ground deformability, this excitation is modulated by the soil properties and operating conditions. The underlying mechanisms that govern ground behavior can be explained and modeled drawing on Terramechanics. Based on this theory, a comprehensive quarter-car model of off-road vehicle is presented that takes into account tire/soil interaction. The model can handle the general case of compliant wheel rolling on com

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Sipos, Tibor, Zsombor Szabó, and Árpád Török. "Spatial Econometric Cross-Border Traffic Analysis for Passenger Cars – Hungarian Experience." Promet - Traffic&Transportation 33, no. 2 (2021): 233–46. http://dx.doi.org/10.7307/ptt.v33i2.3641.

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The role of cross-border commuting needs is remarkable, given that large cross-border cities tend to have high traffic attractiveness. Thus, agglomeration effects are strongly prevalent in populous settlements close to the border. This is due to the fact that both Hungary and the neighboring countries are burdened by spatial inequalities; therefore, the traffic at the individual border crossing points is unbalanced. Our aim is to show the extent to which the introduction of certain public transport modes contributes to the reduction of cross-border passenger car traffic. In order to do this, w

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Fadli, Ahmad Iwan, Selo Sulistyo, and Sigit Wibowo. "Applying Machine Learning for Improving Performance Classification on Driving Behavior." IJITEE (International Journal of Information Technology and Electrical Engineering) 4, no. 1 (2021): 8. http://dx.doi.org/10.22146/ijitee.56919.

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Traffic accident is a very difficult problem to handle on a large scale in a country. Indonesia is one of the most populated, developing countries that use vehicles for daily activities as its main transportation. It is also the country with the largest number of car users in Southeast Asia, so driving safety needs to be considered. Using machine learning classification method to determine whether a driver is driving safely or not can help reduce the risk of driving accidents. We created a detection system to classify whether the driver is driving safely or unsafely using trip sensor data, whi

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Hanafy, Mohamed, and Ruixing Ming. "Machine Learning Approaches for Auto Insurance Big Data." Risks 9, no. 2 (2021): 42. http://dx.doi.org/10.3390/risks9020042.

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The growing trend in the number and severity of auto insurance claims creates a need for new methods to efficiently handle these claims. Machine learning (ML) is one of the methods that solves this problem. As car insurers aim to improve their customer service, these companies have started adopting and applying ML to enhance the interpretation and comprehension of their data for efficiency, thus improving their customer service through a better understanding of their needs. This study considers how automotive insurance providers incorporate machinery learning in their company, and explores how

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Sahidi, Toni Tegar, Achmad Basuki, and Herman Tolle. "MIOT Framework, General Purpose Internet of Things Gateway using Smartphone." International Journal of Online Engineering (iJOE) 14, no. 02 (2018): 6. http://dx.doi.org/10.3991/ijoe.v14i02.7326.

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<p class="western">Internet of things (IoT) is a complex system with few best practices in building ones, especially on handling real-time communication between IoT devices to the Internet. A framework is often used to fasten building IoT system. This paper present Mobile Internet of Things (MIOT), a framework which use a smartphone as the main component to handle communication between IoT device and the internet. A smartphone is used as the communication gateway (relay) for IoT devices and not as the IoT controller as in common Smartphone-IoT approach. For evaluation purpose, two implem

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Ivanov, Radoslav, Kishor Jothimurugan, Steve Hsu, Shaan Vaidya, Rajeev Alur, and Osbert Bastani. "Compositional Learning and Verification of Neural Network Controllers." ACM Transactions on Embedded Computing Systems 20, no. 5s (2021): 1–26. http://dx.doi.org/10.1145/3477023.

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Recent advances in deep learning have enabled data-driven controller design for autonomous systems. However, verifying safety of such controllers, which are often hard-to-analyze neural networks, remains a challenge. Inspired by compositional strategies for program verification, we propose a framework for compositional learning and verification of neural network controllers. Our approach is to decompose the task (e.g., car navigation) into a sequence of subtasks (e.g., segments of the track), each corresponding to a different mode of the system (e.g., go straight or turn). Then, we learn a sep

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Delgado-Aguilar, Marc, Quim Tarrés, María de Fátima V. Marques, et al. "Explorative Study on the Use of Curauá Reinforced Polypropylene Composites for the Automotive Industry." Materials 12, no. 24 (2019): 4185. http://dx.doi.org/10.3390/ma12244185.

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The automotive industry is under a growing volume of regulations regarding environmental impact and component recycling. Nowadays, glass fiber-based composites are commodities in the automotive industry, but show limitations when recycled. Thus, attention is being devoted to alternative reinforcements like natural fibers. Curauá (Curacao, Ananas erectifolius) is reported in the literature as a promising source of natural fiber prone to be used as composite reinforcement. Nonetheless, one important challenge is to obtain properly dispersed materials, especially when the percentages of reinforce

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Ashari, Hasan, and Trinandari P. Nugrahanti. "Anatomi Laporan Keuangan Bank Bermasalah Sebelum Pencabutan Ijin Usaha." Akuntabilitas 13, no. 2 (2020): 221–38. http://dx.doi.org/10.15408/akt.v13i2.17148.

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This research based on the many problematic rural banks (BPR) in Indonesia and had declared as failing banks those their business licenses had revoked by the bank supervisory authority. This paper aims to explain the conditions that occurred in the last years of a BPR before experiencing failure and to analyze the causes of this condition based on interviews with practitioners who had taken handle failed bank resolutions and references and financial indicators in the BPR. The bank condition is seen based on the financial reports for the last two years submitted by the BPR to the bank superviso

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