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Improving the performance of on-road vehicle detection by combining Gabor and wavelet features

Improving the performance of on-road vehicle detection by co...

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international conference on intelligent Transportation

作者： Zehang Sun G. Bebis R. Miller Computcr Vision Laboratory Department of Computer Science University of Nevada Reno USA E-Technology Department Ford Motor Company Limited Dearborn MI USA

Appearance-based methods represent a promising research direction to the problem of vehicle detection. these methods learn the characteristics of the vehicle class from a set of training images which capture the variability in vehicle appearance. First, training images are represented by a set of features. then, the decision boundary between the vehicle and nonvehicle classes is computed by modelling the probability distribution of the features In each class or through learning. the purpose of this study is to investigate the effectiveness of two important types of features for vehicle detection based on Haar wavelets and Gabor filters. In both cases, the decision boundary is computed using support vector machines (SVMs). Wavelet features encode edge information. Gabor filters provide a mechanism for obtaining orientation and scale tunable edge and line detectors. Our experimental results and comparisons using real data illustrate the effectiveness of both types of features for vehicle detection, with Gabor features performing the better. the two feature sets yield different misclassification errors which led us to the idea of combining them for improving performance. the combined set of features outperformed each feature set alone on completely novel test images.

关键词： Vehicle detection Vehicles Computer vision Gabor filters distributed computing Probability distribution Support vector machines Image edge detection Detectors Testing

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MDPPC: Efficient Scalable Multiparty Delegated PSI and PSI Cardinality

MDPPC: Efficient Scalable Multiparty Delegated PSI and PSI C...

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Annual conference on Privacy, Security and Trust, PST

作者： Yihao Yang Xiaolei Dong Jiachen Shen Zhenfu Cao Yunbo Yang Jun Zhou Liming Fang Zhe Liu Chunpeng Ge Chunhua Su Zongyang Hou Shanghai Key Laboratory of Trustworthy Computing East China Normal University Shanghai China Research Center for Basic Theories of Intelligent Computing Research Institute of Basic Theories Zhejiang Lab Hangzhou China College of Computer Science and Technology Nanjing University of Aeronautics and Astronautics Nanjing China Science and Technology on Parallel and Distributed Processing Laboratory (PDL) Changsha China Shandong University Jinan China University of Aizu Fukushima Japan Print-Rite Technology Development Co. Ltd. Of Zhuhai China

Private Set Intersection (PSI) is one of the most important functions in secure multiparty computation (MPC). PSI protocols have been a practical cryptographic primitive and there are many privacy-preserving applications based on PSI protocols such as computing conversion of advertising and distributed computation. Private Set Intersection Cardinality (PSI-CA) is a useful variant of PSI protocol. PSI and PSI-CA allow several parties, each holding a private set, to jointly compute the intersection and cardinality, respectively without leaking any additional information. Nowadays, most PSI protocols mainly focus on two-party settings, while in multiparty settings, parties are able to share more valuable information and thus more desirable. On the other hand, with the advent of cloud computing, delegating computation to an untrusted server becomes an interesting problem. However, most existing delegated PSI protocols are unable to efficiently scale to multiple clients. In order to solve these problems, this paper proposes MDPPC, an efficient PSI protocol which supports scalable multiparty delegated PSI and PSI-CA operations. Security analysis shows that MDPPC is secure against semi-honest adversaries and it allows any number of colluding clients. For 15 parties with set size of 2 20 on server side and 2 16 on clients side, MDPPC costs only 81 seconds in PSI and 80 seconds in PSI-CA, respectively. the experimental results show that MDPPC has high scalability.

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AirSync: Time Synchronization for Large-scale IoT Networks Using Aircraft Signals

AirSync: Time Synchronization for Large-scale IoT Networks U...

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IEEE Communications Society conference on Sensor and Ad Hoc Communications and Networks (SECON)

作者： Shaopeng Zhu Xiaolong Zheng Liang Liu Huadong Ma Beijing Key Laboratory of Intelligent Telecommunication Software and Multimedia Beijing University of Posts and Telecommunications Beijing China

ISBN: (数字)9781728166308

ISBN: (纸本)9781728166315

the prosperity of Internet of things (IoT) brings forth the deployment of large-scale sensing systems such as smart cities. the distributed devices upload their local sensing data to the cloud and collaborate to fulfill the large-area tasks such as pollutant diffusion analysis and target tracking. To accomplish the collaboration, time synchronization is crucial. However, due to the long range and device heterogeneity, accurate time synchronization for a large-scale IoT network is challenging. Existing GPS or NTP solutions either require an outdoor environment or only have low and unstable accuracy. In this paper, we propose AirSync, a novel synchronization method that leverages the widely existed aircraft signals, ADS-B, to synchronize large-scale IoT networks with nodes even in indoor environments. But ADS-B messages have no time stamp and cannot provide a reference time. We leverage the continuity of aircraft movements to estimate the aircraft traveling time. then devices that observe common aircraft moving segments can calculate their time offset. To obtain the time skew, we propose a combined aircraft linear regression method. We also design a transitive synchronization for devices that cannot observe common aircraft. We implement a prototype of AirSync and evaluate its performance in various real-world environments. the results show that AirSync can obtain the sub-ms accuracy.

关键词： Synchronization Aircraft Servers Global Positioning System Sensors Windows Cloud computing

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Federated Vehicular Tailgating Detection Utilizing Distance and Speed Data Analytics for intelligent Transport System

Federated Vehicular Tailgating Detection Utilizing Distance ...

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international conference on Communications and Signal Processing

作者： Subbulakshmi Velumail Shilpa Shashikant Chaudhari T S Sai Kiran Department of Computer Science and Engineering) M. S. Ramaiah Institute of Technology (Affiliated to VTU) Bengaluru Karnataka India

ISBN: (数字)9798350353068

ISBN: (纸本)9798350353075

Connected and Automated Vehicles (CAVs) are designed with sensors, cameras, and other computing devices to collect data to support cooperative intelligent Transportation Systems (ITS). Many potential applications offered by CAVs exist for researchers and road safety stakeholders. Vehicle tailgating is one such application to analyze risky driving behavior. Reliable detection of such behavior is hard and expensive. this paper focuses on addressing the tailgating issue in CAVs using the dataset generated using Simulation Of Urban Mobility (SUMO) for Indian roads. the proposed model of this study uses the Relative speed and Euclidean distance of the preceding and rear vehicle as parameters on the distributed Federated Learning (FL) framework to incorporate security for sensitive vehicular data. We verified our prediction model in the TensorFlow Federated framework, and our results show an accuracy of 96 percent.

关键词： Federated learning Transportation Signal processing Predictive models Sensor systems Road safety Stakeholders

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Overhead Study of Telegraf as a Real-Time Monitoring Agent

Overhead Study of Telegraf as a Real-Time Monitoring Agent

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international Joint conference on Computer Science and Software Engineering (JCSSE)

作者： Prapaporn Rattanatamrong Yoottana Boonpalit Siwakorn Suwanjinda Ayuth Mangmeesap Ken Subraties Vahid Daneshmand Shava Smallen Jason Haga Thammasat University Pathum Thani Thailand University of Florida Gainesville FL USA University of California San Diego La Jolla CA USA National Institute of Advanced Industrial Science and Technology Tsukuba Japan

ISBN: (数字)9781728161679

ISBN: (纸本)9781728161686

Large-scale distributed systems have become an essential part of our everyday life. these systems have a large number of hardware and software components, often cooperating in complex and unpredictable ways. Operating these kinds of systems requires centralized monitoring to understand their overall states. While running software to collect metrics in a server is considered common nowadays, it often goes unstudied the impact metric collection software have on the base system. this is especially important in low-power, IoT applications. According to our review, one particular software, Telegraf, has never been formally studied before in terms of how much overhead Telegraf adds to the base system. In this work, we conducted several experiments to study how the base system is affected by Telegraf in two scenarios: a datacenter server and an IoT node. the results show that Telegraf is lightweight and suitable to serve as a real-time monitoring agent in both scenarios.

关键词： Measurement Monitoring Servers Software Peer-to-peer computing Internet of things Standards

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Network Platform Design of Multi-Agent Collaboration for intelligent Logistics Based on Mobile Cloud computing

Network Platform Design of Multi-Agent Collaboration for Int...

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2017 6th international conference on Applied Social Science (ICASS 2017)

作者： Ke Huang Yiwen Wang Haolan Zhang Changbin Yu Ningbo Institute of Technology Zhejiang University

the intelligent logistics network platform was designed by mobile cloud computing technology from the multi-agent collaborative perspective in this paper. Firstly, the social needs of multi-agent such as students, teachers, freight enterprises, freight brokers and truck drivers are analyzed. the system architecture with the three-layer of IaaS, PaaS and SaaS is proposed considering mobile terminal access. Especially for the mobile cloud platform security issues, the security architecture and based on the BRAC model of the rights management was designed in detail. Finally, under the guidance of the four principles of sharing, interactivity, openness and sustainability, the four functional modules of system function, practice business experience, real-time interaction and feedback, value-added service and decision making are put forward. the platform is conducive to promoting the learning subject real-time interaction and diversified collaborative development, relying on large data and cloud computing to provide business intelligence decision-making.

关键词： Mobile cloud computing intelligent logistics Multi-agent collaboration Network platform

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Security Requirements in intelligent Transportation System: A systematic review

Security Requirements in Intelligent Transportation System: ...

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international conference on computing Communication Control and Automation (ICCUBEA)

作者： Mini Sharma Dept. of computer science and engg. State Institute of Rural Development Ranchi Jharkhand India

ISBN: (数字)9781728140421

ISBN: (纸本)9781728140438

Cars in modern life have become the most essential elements and with increase in the number of cars nowadays, many problems arise such as pollution, traffic jams, etc. intelligent Transportation System (ITS) provides innovative services to counter different modes of traffic management and transport. these enable users to make safe, coordinated and efficient use of transport networks. In order to capture accurate traffic models, many ITS expect users to contribute captured data by sensors of personal mobile devices. this makes the mobile devices behave as ubiquitous sensing devices that can cover any area where the users are present. Sharing such sensitive data may lead to security and privacy concerns for users like disclosing the location of user to some unattended audience. thus, security must be the considered for ITS application. Recently ITS provided efficient solutions for improvement of the performance of traffic systems, increased safety and security for travelers, and reduced traffic congestion. the ITS architecture is costly and complex due to inclusion of diverse data sources and heterogeneous devices. thus, for a cost-effective and efficient ITS architecture, it must employ easy mechanisms for different transport subsystems interactions. Recent technologies like cloud computing, grid computing and service-oriented architectures (SOA) enables a loosely-coupled and reliable distributed systems. Due to large amount of information or data, ITS development is slowly changing from technology-driven system to data-driven system. A data-driven ITS was designed to optimize its performance.

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Spectrum Sharing in CBRS Using Blockchain

Spectrum Sharing in CBRS Using Blockchain

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IEEE Internatonal conference on Mobile Adhoc and Sensor Systems (MASS)

作者： Pavithra Chidambaram Pappa Aarushi Sarbhai Aniqua Baset Sneha Kasera Milind Buddhikot School of Computing University of Utah Salt Lake City Utah Nokia Bell Labs Murray Hill New Jersey

ISBN: (数字)9781728198668

ISBN: (纸本)9781728198675

We make a case for using the emerging blockchain technology for spectrum sharing in Citizen's Broadband Radio Service (CBRS). We show that blockchain can dynamically allocate channels in a transparent and fair manner by achieving distributed channel de-confliction. Furthermore, blockchain helps automate communication between the Spectrum Access Systems (SASs) belonging to competing, non-trusting organizations by providing consensus, while at the same time preserving confidentiality of sensitive information. We implement our CBRS blockchain architecture using the Hyperledger Fabric platform. In order to support high channel request rates, we also develop a novel feature that adaptively pre-processes channel allocation requests at the SAS before sending those to the blockchain network. We evaluate our blockchain solution under different settings and show that it meets the FCC latency requirements. We also analyze the scalability of our system and show that the latency and throughput guarantees can be maintained in scenarios involving multiple organizations.

关键词： Scalability System performance Blockchain FCC Organizations Channel allocation throughput

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A Framework for Enhancing the Agriculture yield using Cloud Clusters

A Framework for Enhancing the Agriculture yield using Cloud ...

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Advanced Technologies in intelligent Control, Environment, computing & Communication Engineering (ICATIECE), international conference on

作者： D.V. Ashoka C.B. Abhilash M.B. Bharath JSS Academy of Technical Education Bangalore India

ISBN: (数字)9781728104188

ISBN: (纸本)9781728112664

Even today fifty percent of India's working force is employed in agriculture and agro related industries. Which contributes 17 to 18% of India's GDP as of 2018. With that context, many farmers face problems in getting good agriculture yield and price for the products they produce and there are no proper guidance with respect to upcoming techniques and technology platforms where they can easily discuss and clarify their issues regarding the agriculture related topics. Hence, here is a new strategy to find solutions for all such issues and provide a platform to better knowledge sharing and enhancing the opportunities. A Web app for updating about the crop growth and monitoring in real time so as to keep the yield in better possible way. Also, an online discussion forum that would help farmers at a different location to remotely communicate and get the suggestion instantly. Unlike the normal web app, this web app model is hosted in the Customized cloud server (servers) which act as a reliable and efficient environment. the Innovative cloud servers are not only reliable with service but also provides many advantages like scalability, availability and cost-effectiveness. the server will be very robust in running the process in multiple operating systems without any delay or lag for the farmers. In this paper we propose a framework for increasing the agriculture yield using distributed computing with low cost approach.

关键词： Agriculture Cloud computing Web servers Security Monitoring Reliability

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Optimal Design of Heliostat Field Using Random Search Algorithm

Optimal Design of Heliostat Field Using Random Search Algori...

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IEEE international conference on Power, intelligent computing and Systems (ICPICS)

作者： Chenglin Mou Kaiqi Wu Pengcheng Du Kaibo Yang Department of Engineering Mechanics School of Civil Engineering and Architecture Henan University of Science and Technology Luoyang China Department of Computer Science and Technology School of Information Engineering Henan University of Science and Technology Luoyang China Department of Automation School of Information Engineering Henan University of Science and Technology Luoyang China Department of Civil Engineering School of International Education Henan University of Science and Technology Luoyang China

ISBN: (数字)9798350374315

ISBN: (纸本)9798350374322

Tower solar thermal power generation is a new type of low-carbon and environmentally friendly clean energy technology. In this paper, a single-objective optimization model is established with the maximum annual average thermal output per unit mirror area of the heliostat field as the objective function. By optimizing the heliostat width, heliostat height and heliostat coordinate, the annual average output thermal power can be maximized while meeting the rated power. the heliostat field is distributed in a circular shape. As the seasons change, the light intensity received by the heliostat field is uneven, so the optical efficiency of the heliostats is also different. We simplify the heliostat field into S area (area with higher optical efficiency) and W area (area with lower optical efficiency) based on the optical efficiency distribution of heliostats. At different locations, According to the heliostat width, heliostat height and heliostat coordinate generated by random functions, substituting these parameters into the efficiency model in this paper, and the random search algorithm is used to traverse the maximum annual output thermal power and the corresponding heliostat parameters. In the shadow occlusion loss model, we have grid to set up the heliostat and use the coordinate conversion to solve the shadow occlusion loss efficiency.

关键词： Integrated optics Green energy Shape Optimization models Computational modeling Poles and towers Linear programming Mirrors Power generation

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