scholarly journals An Overview on Study of Identification of Driver Behavior Characteristics for Automotive Control

2014 ◽  
Vol 2014 ◽  
pp. 1-15 ◽  
Author(s):  
Na Lin ◽  
Changfu Zong ◽  
Masayoshi Tomizuka ◽  
Pan Song ◽  
Zexing Zhang ◽  
...  
Keyword(s):  
Driver Behavior ◽  
Warning System ◽  
Automotive Control ◽  
Research Directions ◽  
Safety Warning ◽  
Key Technologies ◽  
Behavior Characteristics ◽  
Vehicle Dynamics Control ◽  
Future Work ◽  
Control Study

Driver characteristics have been the research focus for automotive control. Study on identification of driver characteristics is provided in this paper in terms of its relevant research directions and key technologies involved. This paper discusses the driver characteristics based on driver’s operation behavior, or the driver behavior characteristics. Following the presentation of the fundamental of the driver behavior characteristics, the key technologies of the driver behavior characteristics are reviewed in detail, including classification and identification methods of the driver behavior characteristics, experimental design and data acquisition, and model adaptation. Moreover, this paper discusses applications of the identification of the driver behavior characteristics which has been applied to the intelligent driver advisory system, the driver safety warning system, and the vehicle dynamics control system. At last, some ideas about the future work are concluded.

scholarly journals Design of an Integrated Vehicle Chassis Control System with Driver Behavior Identification

2015 ◽  
Vol 2015 ◽  
pp. 1-12 ◽  
Author(s):  
Bing Zhu ◽  
Yizhou Chen ◽  
Jian Zhao ◽  
Yunfu Su
Keyword(s):  
Control System ◽  
Control Strategy ◽  
Driver Behavior ◽  
Stability Performance ◽  
Integrated Chassis Control ◽  
Yaw Moment Control ◽  
Chassis Control ◽  
Lane Change Test ◽  
Behavior Characteristics ◽  
Vehicle Chassis

An integrated vehicle chassis control strategy with driver behavior identification is introduced in this paper. In order to identify the different types of driver behavior characteristics, a driver behavior signals acquisition system was established using the dSPACE real-time simulation platform, and the driver inputs of 30 test drivers were collected under the double lane change test condition. Then, driver behavior characteristics were analyzed and identified based on the preview optimal curvature model through genetic algorithm and neural network method. Using it as a base, an integrated chassis control strategy with active front steering (AFS) and direct yaw moment control (DYC) considering driver characteristics was established by model predictive control (MPC) method. Finally, simulations were carried out to verify the control strategy by CarSim and MATLAB/Simulink. The results show that the proposed method enables the control system to adjust its parameters according to the driver behavior identification results and the vehicle handling and stability performance are significantly improved.

Investigation and Implementation of a Web-Based CAD System for Fabric Appearance

2010 ◽  
Vol 129-131 ◽  
pp. 645-647
Author(s):  
Fan Lei Yan ◽  
Lian He Yang ◽  
Hai Feng Chang
Keyword(s):  
Data Exchange ◽  
3D Model ◽  
Texture Mapping ◽  
Future Research ◽  
Web Browser ◽  
Research Directions ◽  
Web Based ◽  
Cad System ◽  
Key Technologies ◽  
Future Research Directions

The area of web-based CAD system has grown since the mid-1990s. This paper introduces a new web-based CAD system for fabric appearance. The system uses the Browser/Server structure, and the designer can employ this system installed on the server to build a 3D model of fabric appearance through the Web browser. The basic architecture is discussed in this paper. Some key technologies, such as graphics display, texture mapping and the data exchange, are also investigated. In the last, some future research directions are presented.

scholarly journals Augmented Data Selector to Initiate Text-Based CAPTCHA Attack

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Aolin Che ◽  
Yalin Liu ◽  
Hong Xiao ◽  
Hao Wang ◽  
Ke Zhang ◽  
...  
Keyword(s):  
Deep Learning ◽  
Training Data ◽  
Accuracy Rate ◽  
Data Set ◽  
Research Directions ◽  
Training Models ◽  
The Past ◽  
Future Work ◽  
Design Cost ◽  
Accuracy Rates

In the past decades, due to the low design cost and easy maintenance, text-based CAPTCHAs have been extensively used in constructing security mechanisms for user authentications. With the recent advances in machine/deep learning in recognizing CAPTCHA images, growing attack methods are presented to break text-based CAPTCHAs. These machine learning/deep learning-based attacks often rely on training models on massive volumes of training data. The poorly constructed CAPTCHA data also leads to low accuracy of attacks. To investigate this issue, we propose a simple, generic, and effective preprocessing approach to filter and enhance the original CAPTCHA data set so as to improve the accuracy of the previous attack methods. In particular, the proposed preprocessing approach consists of a data selector and a data augmentor. The data selector can automatically filter out a training data set with training significance. Meanwhile, the data augmentor uses four different image noises to generate different CAPTCHA images. The well-constructed CAPTCHA data set can better train deep learning models to further improve the accuracy rate. Extensive experiments demonstrate that the accuracy rates of five commonly used attack methods after combining our preprocessing approach are 2.62% to 8.31% higher than those without preprocessing approach. Moreover, we also discuss potential research directions for future work.

scholarly journals Inter-destination Multimedia Synchronization: A Contemporary Survey

2019 ◽  
pp. 10-21
Author(s):  
Dimitris Kanellopoulos
Keyword(s):  
Media Content ◽  
Multimedia Synchronization ◽  
Research Directions ◽  
Survey Paper ◽  
Social Tv ◽  
Content Consumption ◽  
E Learning ◽  
Geographically Distributed ◽  
Future Work ◽  
Stream Synchronization

The advent of social networking applications, media streaming technologies, and synchronous communications has created an evolution towards dynamic shared media experiences. In this new model, geographically distributed groups of users can be immersed in a common virtual networked environment in which they can interact and collaborate in real- time within the context of simultaneous media content consumption. In this environment, intra-stream and inter-stream synchronization techniques are used inside the consumers’ playout devices, while synchronization of media streams across multiple separated locations is required. This synchronization is nown as multipoint, group or Inter-Destination Multimedia Synchronization (IDMS) and is needed in many applications such as social TV and synchronous e-learning. This survey paper discusses intraand inter-stream synchronization issues, but it mainly focuses on the most well-known IDMS techniques that can be used in emerging distributed multimedia applications. In addition, it provides some research directions for future work.

An Applicative Survey on Few-Shot Learning

2021 ◽  
Vol 15 ◽  
Author(s):  
Jianwei Zhang ◽  
Xubin Zhang ◽  
Lei Lv ◽  
Yining Di ◽  
Wei Chen
Keyword(s):  
Large Scale ◽  
Representation Learning ◽  
Language Models ◽  
Data Sets ◽  
Research Directions ◽  
Large Scale Data ◽  
Cross Domain ◽  
Meta Learning ◽  
Definition Of ◽  
Future Work

Background: Learning discriminative representation from large-scale data sets has made a breakthrough in decades. However, it is still a thorny problem to generate representative embedding from limited examples, for example, a class containing only one image. Recently, deep learning-based Few-Shot Learning (FSL) has been proposed. It tackles this problem by leveraging prior knowledge in various ways. Objective: In this work, we review recent advances of FSL from the perspective of high-dimensional representation learning. The results of the analysis can provide insights and directions for future work. Methods: We first present the definition of general FSL. Then we propose a general framework for the FSL problem and give the taxonomy under the framework. We survey two FSL directions: learning policy and meta-learning. Results: We review the advanced applications of FSL, including image classification, object detection, image segmentation and other tasks etc., as well as the corresponding benchmarks to provide an overview of recent progress. Conclusion: FSL needs to be further studied in medical images, language models, and reinforcement learning in future work. In addition, cross-domain FSL, successive FSL, and associated FSL are more challenging and valuable research directions.

Application of Vision-based Safety Warning System to Haeundae Beach, Korea

2019 ◽  
Vol 91 (sp1) ◽  
pp. 216 ◽  
Author(s):  
Jooyong Lee ◽  
Jisoo Park ◽  
Inchul Kim ◽  
Dae Young Kang
Keyword(s):  
Warning System ◽  
Safety Warning

Service-Driven Computing with APIs

2016 ◽  
pp. 238-261
Author(s):  
Hiranya Jayathilaka ◽  
Chandra Krintz ◽  
Rich Wolski
Keyword(s):  
Web Services ◽  
Service Development ◽  
Future Research ◽  
Software Integration ◽  
Research Directions ◽  
Network Bandwidth ◽  
Key Technologies ◽  
Future Research Directions ◽  
Barrier To Entry ◽  
Over Time

While both SOAP and REST have been used widely to implement Web services and software integration, over time REST has emerged as the predominant approach. REST provides developers with a lower barrier to entry for implementation and greater development flexibility than SOAP. Its architectural conventions and best practices can be integrated into Web services incrementally as opposed to the all-or-nothing adoption of SOAP. In order to achieve generality, SOAP standards are extensive, rigid, and complex. This complexity can lead to implementations that introduce significant overhead on the network bandwidth consumption, execution times, and throughput of SOAP services, especially in the emerging resource-restricted mobile realm. This chapter provides an overview of the logical and physical design of modern Web services and discusses the strengths and weaknesses of the predominant styles. It provides evidence and reasoning behind the emergence of REST as the leader for the development of next-generation Web APIs and services. The chapter also delineates the key technologies that underlie REST and describes emerging and future research directions in support of REST-based APIs and service development.

Analyzing the response to epidemics: concept of evidence-based Haddon matrix

2017 ◽  
Vol 7 (3) ◽  
pp. 266-283 ◽  
Author(s):  
Azrah Anparasan ◽  
Miguel Lejeune
Keyword(s):  
Physical Environment ◽  
Evidence Based ◽  
Research Directions ◽  
Content Type ◽  
Humanitarian Organizations ◽  
The Matrix ◽  
New Research ◽  
Future Work ◽  
Haddon Matrix

Purpose The purpose of this paper is to propose a novel evidence-based Haddon matrix that identifies intervention options for organizations and governments responding to an epidemic in a developing economy. Design/methodology/approach A literature review of articles published within a year of the cholera outbreak in Haiti. Two separate types of literature sources are used – academic and non-academic – to apprehend the value and role of interventions implemented and/or identified. Findings The Haddon matrix helps break down the challenges involved in the containment of an epidemic into smaller, manageable components. This research shows that the matrix enables visualization of past evidence, help dissect various informational sources, and increase collaboration across humanitarian organizations. It will also serve as a building block for academics to identify new research directions to respond to epidemic outbreaks. Research limitations/implications The analysis focuses on the cholera epidemic in Haiti. Future work will be directed to generalize the identified recommendations and insights to a broader context. Originality/value This paper presents an evidence-based Haddon matrix that infers recommendations and insights based on past evidence for each phase (pre-event, response, and post-event) and factor (agent, host, physical environment, and socio-cultural environment) of an epidemic and for various stakeholders (humanitarian organizations, governments, and academics). The matrix provides a structured framework to identify interventions and best practices to address challenges during an epidemic outbreak.

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