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A Comparative Analysis of DAG-based Blockchain architectures 12

A Comparative Analysis of DAG-based Blockchain Architectures

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12th International conference on open Source Systems and Technologies (ICOSST)

作者： Pervez, Huma Muneeb, Muhammad Irfan, Muhammad Usama Ul Haq, Irfan PIEAS Dept Comp & Informat Sci Islamabad Pakistan

ISBN: (纸本)9781538695647

Blockchain is a shared distributed ledger that promises tamper-proof secure transactions over the highly available and resilient network involving multiple participants. Directed Acyclic Graph (DAG) has revolutionized the blockchain technology. Owing to its optimized validation mechanism, high scalability, efficient provenance, support for IoT and multiparty involvement, DAG is rapidly over-shadowing traditional blockchain architecture. In this paper, we present a comparative analysis of most popular DAG based blockchain architectures including Nxt, IOTA, Orumesh, DagCoin, Byteball, Nano and XDAG. The comparison is based on the functional data structures for maintaining the ledger, consensus algorithms, transaction validation, ledger size, scalability and popularity. Extracting the best features various DAG based blockchains, we move on to outline the best of all worlds DAG-based blockchain architecture.

关键词： Blockchain Scalability Cryptography Peer-to-peer computing Computer architecture Distributed databases Directed acyclic graph

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Pvalite CLN: Lightweight Object Detection with Classfication and Localization network

Pvalite CLN: Lightweight Object Detection with Classfication...

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ieee International SOC conference

作者： Guo Jiun-In Tsai Chi-Chi Tseng Ching-Kan

ISBN: (数字)9781728134833

ISBN: (纸本)9781728134840

We developed a 2D convolution object detection network called CLN layer to let a network with a small amount of parameters and have a better detection result as well. Compared to YOLOv2 detector and SSD with lightweight Pvalite network, the proposed Classification and Localization network (CLN) layer has better accuracy and higher recall on the object which is located on the border of image. Additionally, we revise the original open source to make this architecture more platform portable than other architectures. The proposed system is implemented on the embedded platforms with the performance of 640x480@10 fps under nVidia Jetson TX-2 and 480x320@5fps under Renesas R-car H3.

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Secure Routing for MANET Connected Internet of Things Systems 6

Secure Routing for MANET Connected Internet of Things System...

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6th ieee International conference on Future Internet of Things and Cloud (FiCloud)

作者： Karlsson, Jonny Dooley, Laurence S. Pulkkis, Goran Arcada Univ Appl Sci Dept Business Management & Analyt Helsinki Finland Open Univ Sch Comp & Commun Milton Keynes Bucks England

ISBN: (纸本)9781538675038

This paper presents a contemporary review of communication architectures and topographies for MANET-connected Internet-of-Things (IoT) systems. Routing protocols for multi-hop MANETs are analyzed with a focus on the standardized Routing Protocol for Low-power and Lossy networks. Various security threats and vulnerabilities in current MANET routing are described and security enhanced routing protocols and trust models presented as methodologies for supporting secure routing. Finally, the paper identifies some key research challenges in the emerging domain of MANET-IoT connectivity.

关键词： IoT MANET routing network security RPL trusted device sensor network

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CCOMPASSION: A Hybrid Cloudlet Placement Framework over Passive Optical Access networks

CCOMPASSION: A Hybrid Cloudlet Placement Framework over Pass...

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37th ieee conference on Computer Communications (ieee INFOCOM)

作者： Mondal, Sourav Das, Goutam Wong, Elaine Univ Melbourne Dept Elect & Elect Engn Melbourne Vic 3010 Australia Indian Inst Technol Kharagpur GS Sanyal Sch Telecommun Kharagpur 721302 W Bengal India

ISBN: (纸本)9781538641286

Cloud-based computing technology is one of the most significant technical advents of the last decade and extension of this facility towards access networks by aggregation of cloudlets is a step further. To fulfill the ravenous demand for computational resources entangled with the stringent latency requirements of computationally-heavy applications related to augmented reality, cognitive assistance and context-aware computation, installation of cloudlets near the access segment is a very promising solution because of its support for wide geographical network distribution, low latency, mobility and heterogeneity. In this paper, we propose a novel framework, Cloudlet Cost OptiMization over PASSIve Optical network (CCOMPASSION), and formulate a nonlinear mixed-integer program to identify optimal cloudlet placement locations such that installation cost is minimized whilst meeting the capacity and latency constraints. Considering urban, suburban and rural scenarios as commonly used network deployment models, we investigate the feasibility of the proposed model over them and provide guidance on the overall cloudlet facility installation over optical access network. We also study the percentage of incremental energy budget in the presence of cloudlets of the existing network. The final results from our proposed model can be considered as fundamental cornerstones for network planning with hybrid cloudlet network architectures.

关键词： Cloudlet low latency non-linear mixed-integer programming optical access network

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Design and implementation of a prototype for structural health analysis of a bridge through a network of wireless sensors using MatLab software 7

Design and implementation of a prototype for structural heal...

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7th International Engineering, Sciences and Technology conference, IESTEC 2019

作者： Alvarado, Gino Mejia, Angel Salazar, Jorge Universidad Politécnica Salesiana Guayaquil Ecuador

ISBN: (纸本)9781728116914

This project proposes the development of a prototype of structural health monitoring using WSN (Wireless Sensor networks), whose objective is to determine the state of a structure effectively, simply and without high implementation costs. The development of this device is carried out by means of an Arduino Uno, this equipment is used due to its storage capacity and adaptability since it is the one in charge of collecting the data by means of the sensors that will be connected to it. The sensors used for the elaboration of this project of titration, are the modules of vibration SW-420 chosen since in conjunction with an OPAMP LM393 helps to the detection of some vibration in the required threshold, these sensors of vibration are located on the structure to analyze, obtaining more exact measurement and precise data reason why they allow to determine the state of the same one, thanks to international norms which were used to obtain conclusions on the monitored structure. XBee devices are used for data transmission due to their low latency and great synchronization of predictable communication, since this application requires a high data traffic. Which are based on the 802.15.4 standard used to create point-to-point or point-to-multipoint networks, the configuration is done through the XCTU software achieving an open protocol communication, which are responsible for sending the information wirelessly. The information is stored in a SQlite database using the Phyton programming language, through the collection of data from the processing and transmission devices the Matlab program delivers comparative results with the international standards detailed in the investigation and thus determining the type of damage to the structure. © 2019 ieee.

关键词： MATLAB

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Learning network architectures of Deep CNNs under Resource Constraints 31

Learning Network Architectures of Deep CNNs under Resource C...

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ieee/CVF conference on Computer Vision and Pattern Recognition (CVPR)

作者： Chan, Michael Scarafoni, Daniel Duarte, Ronald Thornton, Jason Skelly, Luke MIT Lincoln Lab 244 Wood St Lexington MA 02421 USA

ISBN: (数字)9781538661000

ISBN: (纸本)9781538661000

Recent works in deep learning have been driven broadly by the desire to attain high accuracy on certain challenge problems. The network architecture and other hyper-parameters of many published models are typically chosen by trial-and-error experiments with little considerations paid to resource constraints at deployment time. We propose a fully automated model learning approach that (1) treats architecture selection as part of the learning process, (2) uses a blend of broad-based random sampling and adaptive iterative refinement to explore the solution space, (3) performs optimization subject to given memory and computational constraints imposed by target deployment scenarios, and (4) is scalable and can use only a practically small number of GPUs for training. We present results that show graceful model degradation under strict resource constraints for object classification problems using CIFAR-10 in our experiments. We also discuss future work in further extending the approach.

关键词： Computer architecture Computational modeling Optimization Adaptation models network architecture Linear programming Training

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STUDY OF DENSE network APPROACHES FOR SPEECH EMOTION RECOGNITION

STUDY OF DENSE NETWORK APPROACHES FOR SPEECH EMOTION RECOGNI...

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ieee International conference on Acoustics, Speech and Signal Processing (ICASSP)

作者： Abdelwahab, Mohammed Busso, Carlos Univ Texas Dallas Dept Elect Comp Engn Multimodal Signal Proc MSP Lab Richardson TX 75080 USA

ISBN: (纸本)9781538646588

Deep neural networks have been proven to be very effective in various classification problems and show great promise for emotion recognition from speech. Studies have proposed various architectures that further improve the performance of emotion recognition systems. However, there are still various open questions regarding the best approach to building a speech emotion recognition system. Would the system's performance improve if we have more labeled data? How much do we benefit from data augmentation? What activation and regularization schemes are more beneficial? How does the depth of the network affect the performance? We are collecting the MSP-Podcast corpus, a large dataset with over 30 hours of data, which provides an ideal resource to address these questions. This study explores various dense architectures to predict arousal, valence and dominance scores. We investigate varying the training set size, width, and depth of the network, as well as the activation functions used during training. We also study the effect of data augmentation on the network's performance. We find that bigger training set improves the performance. Batch normalization is crucial to achieving a good performance for deeper networks. We do not observe significant differences in the performance in residual networks compared to dense networks.

关键词： Speech emotion recognition Deep Neural networks

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Comparison of algorithms in Foreign Exchange Rate Prediction 3

Comparison of algorithms in Foreign Exchange Rate Prediction

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3rd ieee International conference on Computing, Communication and Security (ICCCS)

作者： Ranjit, Swagat Shrestha, Shruti Subedi, Sital Shakya, Subarna Tribhuvan Univ Adv Coll Engn & Management Dept Elect & Comp Engn Lalitpur Nepal Tribhuvan Univ Dept Elect & Comp Engn IOE Pulchowk Campus Lalitpur Nepal

ISBN: (纸本)9781538662274

Foreign currency exchange plays a vital role for trading of currency in the financial market. Due to its volatile nature, prediction of foreign currency exchange is a challenging task. This paper presents different machine learning techniques like Artificial Neural network (ANN), Recurrent Neural network (RNN) to develop prediction model between Nepalese Rupees against three major currencies Euro, Pound Sterling and US dollar. Recurrent Neural network is a type of neural network that have feedback connections. In this paper, prediction model were based on different RNN architectures, feed forward ANN with back propagation algorithm and then compared the accuracy of each model. Different ANN architecture models like Feed forward neural network, Simple Recurrent Neural network (SRNN), Gated Recurrent Unit (GRU) and Long Short Term Memory (LSTM) were used. Input parameters were open, low, high and closing prices for each currency. From this study, we have found that LSTM networks provided better results than SRNN and GRU networks.

关键词： Foreign Currency Exchange Artifical Neural network Recurrennt Neural network

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Efficient Dynamic Flow Tracking for Packet Analyzers 7

Efficient Dynamic Flow Tracking for Packet Analyzers

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ieee 7th International conference on Cloud networking (CloudNet)

作者： Emmerich, Paul Pudelko, Maximilian Scheitle, Quirin Carle, Georg Tech Univ Munich Dept Informat Chair Network Architectures & Serv Munich Germany

ISBN: (纸本)9781538668313

Analyzing large amounts of traffic at the packet or flow level is an important part of managing and monitoring cloud network infrastructure. Common scenarios that require low-level packet analysis are troubleshooting problems, accounting traffic, and security applications such as intrusion detection systems or firewalls. Moreover, researchers often analyze traffic for scientific purposes. For such low-level traffic analyses, tracking flows is a feature required for both commercial and scientific purposes. However, there is no good shared library available to implement this functionality in an efficient, configurable, and dynamic way that is suitable for real-time analysis. We implement a high-performant generic flow tracker that can track millions of simultaenous flows based on arbitrarily complex definitions of a flow. We make this implementation available as open source in our traffic analysis tool FlowScope. The highly efficient real-time tracking of flows by arbitrarily complex user-defined flow criteria and filters is enabled by just-in-time (JIT) compilation of flow tracking rules. The code and evaluation scripts are available as free and open source at: https://***/emmericp/FlowScope

关键词： DPDK traffic analysis flows

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A survey on the programmable data plane: Abstractions, architectures, and open problems 19

A survey on the programmable data plane: Abstractions, archi...

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19th ieee International conference on High Performance Switching and Routing, HPSR 2018

作者： Bifulco, Roberto Retvari, Gebor NEC Laboratories Europe Germany MTA-BME Information Systems Research Group

ISBN: (纸本)9781538678015

Programmable switches allow the packet processing behavior to be applied to transmitted packets, including the type, sequence, and semantics of processing operations, to be reconfigured on the fly in a systematic fashion. As such, programmable switches are the key to realize the next-generation of network services and applications, including software-defined networking, 5G, IoT, and massive-scale cloud computing. This paper presents a survey on the recent trends and issues in the design and implementation of programmable network devices, focusing on the prominent abstractions and architectures proposed, debated, realized, and deployed during the last 10 years. First we describe the anatomy of a programmable switch, then we highlight the most important pointers from the literature and cast different taxonomies for the field, and finally we sketch open issues and possible future research directions. © 2018 ieee.

关键词： Abstracting

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