Most of the humps in India are not being constructed and maintained according to the public safety guidelines of Indian Road Congress (IRC) i.e., IRC099, which is resulting in damage to the vehicles, severe discomfort...
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Most of the humps in India are not being constructed and maintained according to the public safety guidelines of Indian Road Congress (IRC) i.e., IRC099, which is resulting in damage to the vehicles, severe discomfort to the driver and even causing loss of direction control which is leading to fatalities. Very few methods were discussed in literature for un-marked speed hump/bump detection. We propose a method that detects and informs the driver about the upcoming un-marked and marked speed hump/bump in real time using deep learning techniques and gives the distance the vehicle is away from it using stereo-vision approaches. We have achieved using NVIDIA GPU and Stereolabs ZED Stereo camera hardware. Withthis driver or autonomous mode of the vehicle can control the vehicle speeds to be at safer limits in order to not cause any kind of discomfort to the passengers as well as damage to the vehicle. (C) 2018the Authors. Published by Elsevier B.V.
Wavelet Galerkin method (WGM) is an efficient numerical method for solving boundary value problems. In this paper we propose WGM in image processing and formulated the algorithm as a numerical solution of the total va...
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Wavelet Galerkin method (WGM) is an efficient numerical method for solving boundary value problems. In this paper we propose WGM in image processing and formulated the algorithm as a numerical solution of the total variation (TV) denoising method. the properties of the wavelets such as, regularity, vanishing moments, smoothness and the properties of Galerkin method which uses an algebraic formulation are very attractive for image processing. the necessary changes for adapting the WGM algorithm as a solution of total variation problem are derived. the performance of the proposed method in enhancing the noisy images against noise additions is compared with ti, non-convex tight regularization algorithm and finite element method (REM). the effectiveness of the proposed method is confirmed by the improved structural similarity index (SSIM) and peak signal to noise ratio (PSNR) based image quality metrics. A GMM based image classification system is developed for determining the efficiency of the proposed method based on accuracy of the classification. the improved classification accuracy of proposed method confirmed its effectiveness. Image classification is performed as a quality metric for analyzing the performance of proposed algorithm. For sparse reconstruction, the proposed method gives performance comparable to most of the algorithms used for comparison and has much reduced run time. (C) 2018the Authors. Published by Elsevier B.V.
distributed knowledge is both a valuable asset and difficult to utilize. Uncountable data sources in many different fields (e.g. science, business, education) are used mostly isolated. Trying to combine and mine their...
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ISBN:
(纸本)9781538617199
distributed knowledge is both a valuable asset and difficult to utilize. Uncountable data sources in many different fields (e.g. science, business, education) are used mostly isolated. Trying to combine and mine their wealth of information often rises the problem of missing a central link to mediate between differently designed data systems. In dynamic environments with data sources, that can change their availability and structure over time, the management of a central mediator-based system is too a We propose an information system that transfers the management of data sources to the client-side, allowing data owners to keep full control over the third-party data access while providing simple administration. Data owners can register their data sources directly. Queries are forwarded to he translated on the data source level. In contrast to a centralized mediator-based system, which is not suitable for dynamic retrieval and flexible adjustment of heterogeneous data, our system provides the adaptability to keep query responses accurate in case of evolving data sources.
the Cloud security is one of the major obstacles to the adoption of cloud computing services. It requires some solutions such as Intrusion Detection Systems (IDSs) for protecting each user against all malicious. Exist...
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ISBN:
(纸本)9783030028527;9783030028510
the Cloud security is one of the major obstacles to the adoption of cloud computing services. It requires some solutions such as Intrusion Detection Systems (IDSs) for protecting each user against all malicious. Existing IDS because of lower detection rate and higher false positive rate couldn't be suitable for a distributed environment such as the cloud. To tackle this problem, we propose a new distributed intrusion detection system based on a multi-agent system to identify and prevent known and unknown attacks in this environment. Carried out experiments demonstrated the performance and efficiency of our proposed system integrated with multi-agent technology.
Software defined networking is a network paradigm which separates the control plane and the data plane. In a large SDN network, multiple controllers are used for handling switches' requests. Because of the unbalan...
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ISBN:
(纸本)9783030009168;9783030009151
Software defined networking is a network paradigm which separates the control plane and the data plane. In a large SDN network, multiple controllers are used for handling switches' requests. Because of the unbalanced requests, sometimes some controllers get overloaded. If switch's management can be shifted from the overloaded controller to idle controllers, network performance can be improved. But shifting the switches will bring cost to the system. In this paper, the isolation nodes problem is studied. A minimum cost load migration approach and a heuristic migration algorithm are proposed. the proposed load migration approach can avoid the isolation nodes. the simulation results show that the proposed approach enhances the system performance.
the proceedings contain 8 papers. the topics discussed include: distributed memory futures for compile-time, deterministic-by-default concurrency in distributed C++ applications;design of data management for multi SPM...
ISBN:
(纸本)9781728101781
the proceedings contain 8 papers. the topics discussed include: distributed memory futures for compile-time, deterministic-by-default concurrency in distributed C++ applications;design of data management for multi SPMD workflow programming model;integration of CUDA processing within the C++ library for parallelism and concurrency (HPX);automatic generation of high-order finite-difference code with temporal blocking for extreme-scale many-core systems;asynchronous execution of python code on task-based runtime systems;a unified runtime for PGAS and event-driven programming;portable and reusable deep learning infrastructure with containers to accelerate cancer studies;and analysis of explicit vs. implicit tasking in OpenMP using Kripke.
the proceedings contain 8 papers. the topics discussed include: enabling python to execute efficiently in heterogeneous distributed infrastructures with PyCOMPSs;efficient pattern matching in python;real-time financia...
ISBN:
(纸本)9781450354806
the proceedings contain 8 papers. the topics discussed include: enabling python to execute efficiently in heterogeneous distributed infrastructures with PyCOMPSs;efficient pattern matching in python;real-time financial risk measurement of dynamic complex portfolios with Python and PyOpenCL;Python in the NERSC exascale science applications program for data;real-time thermal medium-based breathing analysis with Python;GPUMap: a transparently GPU-accelerated Python map function;nbodykit: a Python toolkit for cosmology simulations and data analysis on parallel HPC systems;and Python and HPC for high energy physics data analyses.
Since the first theoretical concept of blockchains was proposed, over 100 digital currencies have been issued by online platformers as cryptocurrencies and traded by online consumers mainly in emerging countries. From...
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ISBN:
(纸本)9781728126289
Since the first theoretical concept of blockchains was proposed, over 100 digital currencies have been issued by online platformers as cryptocurrencies and traded by online consumers mainly in emerging countries. From the perspective of online payment systems, several studies have regarded blockchains as decentralized payment systems (DPSs), enabling international payment with lower cost and higher traceability with sophisticated peer-to-peer protocols in contrast to other centralized systems. Despite the advantages, DPSs are not chosen by the owners of online shops due to the high volatility of cryptocurrency prices. Stablecoins are cryptocurrencies with price stabilization mechanisms to match the price of another currency with lower volatility. Our motivation is to gather various price stabilization mechanisms for the purpose of comparing them from the perspective of implementation and enterprise usage. After dividing the methods into four collateral types (fiat, crypto, commodity, and non-collateralized) and two layers (protocol and application), we show that non-collateralized stablecoin on the application layer is the simplest approach for implementation. Moreover, we discuss their connection with traditional economic studies on Hayek money, Seigniorage Share, and Tobin tax. Some current stablecoin projects are also discussed and compared. this is the first survey of stablecoins to the best of our knowledge.
distributedcomputing systems are widely used for execution of loosely coupled many-task applications. there are two important classes of such applications. Bag-of-tasks applications, e.g., parameter sweeps or Monte C...
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Elderly adults aged 65 years and older are considered the smallest age group among social media users due to age-related impairments and lack of technology comprehension. this paper presents a literature review and pr...
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ISBN:
(纸本)9783319604923;9783319604916
Elderly adults aged 65 years and older are considered the smallest age group among social media users due to age-related impairments and lack of technology comprehension. this paper presents a literature review and preliminary evaluation regarding the accessibility and usability issues experienced by elderly adults accessing social media through a mobile platform. the preliminary evaluation of five mobile apps using general accessibility and usability guidelines showed that there were problems withthe color contrast and small button size in most of the mobile apps evaluated. In addition, pilot accessibility and usability test withthe two elderly participants indicated the need for training for the elderly. Recommendations for future research directions were also presented.
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