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2017

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Articles 31 - 60 of 112

Full-Text Articles in Digital Communications and Networking

The Future Is Coming : Research On Maritime Communication Technology For Realization Of Intelligent Ship And Its Impacts On Future Maritime Management, Jiacheng Ke Aug 2017

The Future Is Coming : Research On Maritime Communication Technology For Realization Of Intelligent Ship And Its Impacts On Future Maritime Management, Jiacheng Ke

Maritime Safety & Environment Management Dissertations (Dalian)

No abstract provided.

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Ancr—An Adaptive Network Coding Routing Scheme For Wsns With Different-Success-Rate Links †, Xiang Ji, Anwen Wang, Chunyu Li, Chun Ma, Yao Peng, Dajin Wang, Qingyi Hua, Feng Chen, Dingyi Fang Aug 2017

Ancr—An Adaptive Network Coding Routing Scheme For Wsns With Different-Success-Rate Links †, Xiang Ji, Anwen Wang, Chunyu Li, Chun Ma, Yao Peng, Dajin Wang, Qingyi Hua, Feng Chen, Dingyi Fang

Department of Computer Science Faculty Scholarship and Creative Works

As the underlying infrastructure of the Internet of Things (IoT), wireless sensor networks (WSNs) have been widely used in many applications. Network coding is a technique in WSNs to combine multiple channels of data in one transmission, wherever possible, to save node’s energy as well as increase the network throughput. So far most works on network coding are based on two assumptions to determine coding opportunities: (1) All the links in the network have the same transmission success rate; (2) Each link is bidirectional, and has the same transmission success rate on both ways. However, these assumptions may not be …

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Operating System Identification By Ipv6 Communication Using Machine Learning Ensembles, Adrian Ordorica Aug 2017

Operating System Identification By Ipv6 Communication Using Machine Learning Ensembles, Adrian Ordorica

Graduate Theses and Dissertations

Operating system (OS) identification tools, sometimes called fingerprinting tools, are essential for the reconnaissance phase of penetration testing. While OS identification is traditionally performed by passive or active tools that use fingerprint databases, very little work has focused on using machine learning techniques. Moreover, significantly more work has focused on IPv4 than IPv6. We introduce a collaborative neural network ensemble that uses a unique voting system and a random forest ensemble to deliver accurate predictions. This approach uses IPv6 features as well as packet metadata features for OS identification. Our experiment shows that our approach is valid and we achieve …

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Utilizing Researchgate Social Network By Iranian Engineering, Amir Reza Asnafi, Maryam Rahmani Ma In Knowledge And Information Scienc Aug 2017

Utilizing Researchgate Social Network By Iranian Engineering, Amir Reza Asnafi, Maryam Rahmani Ma In Knowledge And Information Scienc

Library Philosophy and Practice (e-journal)

This study aimed to assess the role of Researchgate in the development of scientific- scholarly activities among Faculty Members of University of Tehran's Engineering College. This study is Survey and descriptive research and data collection tools, including profiles of researchers at the Researchgate and questionnaire. The study population included faculty members of University of Tehran's Engineering College in 2016 was 242 researcher were earned RG score. The sample 144 subjects who were selected via stratified random sampling method and the questionnaire distributed 144 questionnaires were collected and then Results were analyzed using SPSS software From the perspective of engineering researchers, …

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Special Section: Technological Innovations For Communication And Collaboration In Social Spaces, Eric K. Clemons, Rajiv M. Dewan, Robert J. Kauffman, Thomas A. Weber Aug 2017

Special Section: Technological Innovations For Communication And Collaboration In Social Spaces, Eric K. Clemons, Rajiv M. Dewan, Robert J. Kauffman, Thomas A. Weber

Research Collection School Of Computing and Information Systems

Research on social communication and collaboration is of high importance today in Information Systems, especially for interdisciplinary inquiry that emphasizes topics related to strategy, information, technology, economics, and society. The articles that are showcased in this special section of the Journal of Management Information Systems address issues that arise in a number of important contemporary contexts.

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Toward Accurate Network Delay Measurement On Android Phones, Weichao Li, Daoyuan Wu, Rocky K. C. Chang, Ricky K. P. Mok Aug 2017

Toward Accurate Network Delay Measurement On Android Phones, Weichao Li, Daoyuan Wu, Rocky K. C. Chang, Ricky K. P. Mok

Research Collection School Of Computing and Information Systems

Measuring and understanding the performance of mobile networks is becoming very important for end users and operators. Despite the availability of many measurement apps, their measurement accuracy has not received sufficient scrutiny. In this paper, we appraise the accuracy of smartphone-based network performance measurement using the Android platform and the network round-trip time (RTT) as the metric. We show that two of the most popular measurement apps-Ookla Speedtest and MobiPerf-have their RTT measurements inflated. We build three test apps that cover three common measurement methods and evaluate them in a testbed. We overcome the main challenge of obtaining a complete …

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Multiple Attributes Decision Fusion For Wireless Sensor Networks Based On Intuitionistic Fuzzy Set, Zhenjiang Zhang, Ziqi Hao, Sherali Zeadally, Jing Zhang, Bowen Han, Han-Chieh Chao Jul 2017

Multiple Attributes Decision Fusion For Wireless Sensor Networks Based On Intuitionistic Fuzzy Set, Zhenjiang Zhang, Ziqi Hao, Sherali Zeadally, Jing Zhang, Bowen Han, Han-Chieh Chao

Information Science Faculty Publications

Decision fusion is an important issue in wireless sensor networks (WSN), and intuitionistic fuzzy set (IFS) is a novel method for dealing with uncertain data. We propose a multi-attribute decision fusion model based on IFS, which includes two aspects: data distribution-based IFS construction algorithm (DDBIFCA) and the category similarity weight-based TOPSIS intuitionistic fuzzy decision algorithm (CSWBT-IFS). The DDBIFCA is an IFS construction algorithm that transforms the original attribute values into intuitionistic fuzzy measures, and the CSWBT-IFS is an intuitionistic fuzzy aggregation algorithm improved by the traditional TOPSIS algorithm, which combines intuitionistic fuzzy values of different attributes and obtains a final …

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How Technology Is Reshaping Financial Services: Essays On Consumer Behavior In Card, Channel And Cryptocurrency Services, Dan Geng Jul 2017

How Technology Is Reshaping Financial Services: Essays On Consumer Behavior In Card, Channel And Cryptocurrency Services, Dan Geng

Dissertations and Theses Collection

The financial services sector has seen dramatic technological innovations in the last several years associated with the “fintech revolution.” Major changes have taken place in channel management, credit card rewards marketing, cryptocurren-cy, and wealth management, and have influenced consumers’ banking behavior in different ways. As a consequence, there has been a growing demand for banks to rethink their business models and operations to adapt to changing consumer be-havior and counter the competitive pressure from other banks and non-bank play-ers. In this dissertation, I study consumer behavior related to different aspects of financial innovation by addressing research questions that are motivated …

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Perception And Reality: Measuring Digital Skills In Singapore, Swapna Gottipati Jul 2017

Perception And Reality: Measuring Digital Skills In Singapore, Swapna Gottipati

Research Collection School Of Computing and Information Systems

ICDL Asia carried out a digital literacy study in Singapore, looking at an essential skill for everyday life. The goal of the study was to discover the digital skills gaps among young people in Singapore. Singapore is considered to be a digitally advanced country where young people have access to the latest technology and gadgets. At the same time, it is imperative for young people to possess relevant digital skills for a future-ready and healthy economy. The studies consisted of two key parts: self-assessment and practical assessment of digital skills. Our findings show that, though the digital native fallacy exists …

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One-To-Cloud One-Time Pad Data Encryption: Introducing Virtual Prototyping With Pspice, Paul Tobin, Lee Tobin, Roberto Gandia Blanquer Dr, Michael Mckeever, Jonathan Blackledge Jun 2017

One-To-Cloud One-Time Pad Data Encryption: Introducing Virtual Prototyping With Pspice, Paul Tobin, Lee Tobin, Roberto Gandia Blanquer Dr, Michael Mckeever, Jonathan Blackledge

Conference papers

In this paper, we examine the design and application of a one-time pad encryption system for protecting data stored in the Cloud. Personalising security using a one-time pad generator at the client-end protects data from break-ins, side-channel attacks and backdoors in public encryption algorithms. The one-time pad binary sequences were obtained from modified analogue chaos oscillators initiated by noise and encoded client data locally. Specific ``one-to-Cloud'' storage applications returned control back to the end user but without the key distribution problem normally associated with one-time pad encryption. Development of the prototype was aided by ``Virtual Prototyping'' in the latest version …

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Autonomous Speed Control For Kia Optima, Andrew J. Combs, Kyle Fugatt, Kevin Mcfall Jun 2017

Autonomous Speed Control For Kia Optima, Andrew J. Combs, Kyle Fugatt, Kevin Mcfall

The Kennesaw Journal of Undergraduate Research

The standard method for speed control is the cruise control system built into most modern vehicles. These systems employ a PID controller which actuates the accelerator thus, in turn, maintains the desired vehicle speed. The main drawback of such a system is that typically the cruise control will only engage above 25 mph. The goal of this paper is to describe a system which we used to control vehicle speed from a stop to any desired speed using an Arduino microcontroller and a CAN BUS shield, from where autonomous features can be built upon. With this system, we were able …

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Recommending Personalized Schedules In Urban Environments, Cen Chen Jun 2017

Recommending Personalized Schedules In Urban Environments, Cen Chen

Dissertations and Theses Collection

In this thesis, we are broadly interested in solving real world problems that involve decision support for coordinating agent movements in dynamic urban environments, where people are agents exhibiting different human behavior patterns and preferences. The rapid development of mobile technologies makes it easier to capture agent behavioral and preference information. Such rich agent specific information, coupled with the explosive growth of computational power, opens many opportunities that we could potentially leverage, to better guide/influence the agents in urban environments. The purpose of this thesis is to investigate how we can effectively and efficiently guide and coordinate the agents with …

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Skin Tone Tracking Device (Chromaband), Ziyang Bian Jun 2017

Skin Tone Tracking Device (Chromaband), Ziyang Bian

Computer Engineering

It’s long been said that your skin is a window into your health and with many illnesses the first signs of trouble actually show up in your skin. So if we have this natural warning system, then why isn’t anyone able to effectively use it to predict changes in our health? The problem is that currently there is no reliable way to accurately measure the change in skin tone and how these changes may or may not change with variations in health. This project’s aim is to design and develop a device that will record the changes in a user’s …

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An Analysis Of Heroku And Aws For Growing Startups, Colton B. Stapper Jun 2017

An Analysis Of Heroku And Aws For Growing Startups, Colton B. Stapper

Computer Science and Software Engineering

This project presents information on the architecture of most modern cloud-hosting platforms, and gives a cost-benefit analysis of two common Platform-as-a-Service (PaaS) companies: Heroku and AWS.

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Djukebox: A Mobile Application Senior Project, Alexander M. Mitchell Jun 2017

Djukebox: A Mobile Application Senior Project, Alexander M. Mitchell

Computer Science and Software Engineering

I’m going to discuss the process used to research, design, and develop a mobile application to handle song requests from patrons to disc jockeys. The research phase was completed in the first half of the project, during CSC-491, along with much of the design. The rest of the design and all of the development was completed during CSC-492. Once development began there were times when reverting back to the design phase was needed, which became apparent as more was learned about the mobile platform chosen for development, Android, and the backend server utilized, Google Firebase. Ultimately the project was purely …

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Smartgarden, Samuel S. Lees, Matthew T. Lindly Jun 2017

Smartgarden, Samuel S. Lees, Matthew T. Lindly

Computer Engineering

The problem that the SmartGarden project seeks to solve is the challenge of watering succulents correctly and maintaining consistent plant health. Too much water can cause root rot and drowning while too little water can cause dehydration and starvation.
The SmartGarden solves this common problem by configuring a Raspberry Pi to measure soil moisture, store the data to an AWS server in the cloud, and water the succulent when necessary, informing the user by providing both a web-interface and a variety of notifications.

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Table Of Contents Jitim Vol 26 Issue 2, 2017 Jun 2017

Table Of Contents Jitim Vol 26 Issue 2, 2017

Journal of International Technology and Information Management

Table of Contents JITIM vol 26 issue 2, 2017

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Wireless Window Blinds, Cooper Laone, Niraj Morar, Zachary Malig, Jake Phillips Jun 2017

Wireless Window Blinds, Cooper Laone, Niraj Morar, Zachary Malig, Jake Phillips

Electrical Engineering

The Internet of Things asserts that there exists a global need for all objects to connect easily and accessibly. Today, smartphones, tablets, laptops and smart watches makeup just a few of the interconnected devices by the greater population. As a result a growing need for wireless connection between personal devices like phones, and computers to everyday appliances exists. This idea extends directly to households, businesses and buildings, where a growing need for smart home or smart-business appliances has taken root. Many companies like Nest, ADT and Apple make products for automated home security and in home media control. The Wireless …

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Blend It Wine Blending Distribution System, Connor Clarry, Russell Temple, Matt Moren Jun 2017

Blend It Wine Blending Distribution System, Connor Clarry, Russell Temple, Matt Moren

Mechanical Engineering

No abstract provided.

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Micro-Spi Sediment Profile Imaging Micro-Inspector, Andrew P. Corvin, Caleb T. Davies, Matt R. Ferrari Jun 2017

Micro-Spi Sediment Profile Imaging Micro-Inspector, Andrew P. Corvin, Caleb T. Davies, Matt R. Ferrari

Mechanical Engineering

This project was proposed by Dr. Brian Paavo through a desire to more easily study the benthic sediment layers of the ocean. To do so, he asked us to build a simple and compact machine for use in sediment profile imagery (SPI). Although devices like this already exist, they are all large scale devices that require a ship with a crane to deploy, which is expensive and time consuming. Instead, he desired a “micro” SPI, which is capable of being deployed from a small vessel that can easily navigate shallow waters. Our interpretation of these requirements was as follows: a …

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Comparative Analysis Of Big Data Analytics Software In Assessing Sample Data, Soly Mathew Biju, Alex Mathew Jun 2017

Comparative Analysis Of Big Data Analytics Software In Assessing Sample Data, Soly Mathew Biju, Alex Mathew

Journal of International Technology and Information Management

Over the last few years, big data has emerged as an important topic of discussion in most firms owing to its ability of creation, storage and processing of content at a reasonable price. Big data consists of advanced tools and techniques to process large volumes of data in organisations. Investment in big data analytics has almost become a necessity in large-sized firms, particularly multinational companies, for its unique benefits, particularly in prediction and identification of various trends. Some of the most popular big data analytics software used today are MapReduce, Hive, Tableau and Hive, while the framework Hadoop enables easy …

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Scalable And Fully Distributed Localization In Large-Scale Sensor Networks, Miao Jin, Su Xia, Hongyi Wu, Xianfeng David Gu Jun 2017

Scalable And Fully Distributed Localization In Large-Scale Sensor Networks, Miao Jin, Su Xia, Hongyi Wu, Xianfeng David Gu

Electrical & Computer Engineering Faculty Publications

This work proposes a novel connectivity-based localization algorithm, well suitable for large-scale sensor networks with complex shapes and a non-uniform nodal distribution. In contrast to current state-of-the-art connectivity-based localization methods, the proposed algorithm is highly scalable with linear computation and communication costs with respect to the size of the network; and fully distributed where each node only needs the information of its neighbors without cumbersome partitioning and merging process. The algorithm is theoretically guaranteed and numerically stable. Moreover, the algorithm can be readily extended to the localization of networks with a one-hop transmission range distance measurement, and the propagation of …

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Preemptive Efficient Queueing For Scheduling Deadline-Bound Data Center Flows, Vinaykrishna Gopalakrishna May 2017

Preemptive Efficient Queueing For Scheduling Deadline-Bound Data Center Flows, Vinaykrishna Gopalakrishna

Theses

This thesis introduces a new deadline aware flow scheduling scheme called Preemptive Efficient Queuing (PEQ). Unlike other schemes which use policies like EDF, SJF or fair share, this scheme aims to procrastinate flows as much as they can afford to, while keeping with their deadlines. Thereby, PEQ prioritizes more urgent flows that have shorter time to procrastinate, or cushion time. Results of PEQ are compared with state-of-the-art schemes for the transport of data-center flows, such as Preemptive Distributed Quick (PDQ) and Deadline-Driven Delivery (D3). The results show that PEQ outperforms D3 and PDQ. We identify results …

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Vertical Search Engines, Kevin Curran, Jude Mc Glinchey May 2017

Vertical Search Engines, Kevin Curran, Jude Mc Glinchey

The ITB Journal

This paper outlines the growth in popularity of vertical search engines, their origins, the differences between them and well-known broad based search engines such as Google and Yahoo. We also discuss their use in business-to-business, their marketing and advertising costs, what the revenue streams are and who uses them.

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Be Aware With A Honeypot, Stephen Meyer, Ivan Smyth, Mark Cummins, Anthony Keane May 2017

Be Aware With A Honeypot, Stephen Meyer, Ivan Smyth, Mark Cummins, Anthony Keane

The ITB Journal

The Internet has already become a hostile environment for computers, especially when they are directly connected with a public IP address. We have experienced this hostile activity where on an average day; the ITB Honeypot recorded over a thousand reconnaissance attacks seeking unauthorised entry onto our private network. Our Honeypot is a basic PC running Windows XP with no services offered and no activity from users that would generate traffic. The Honeypot is running in a passive state on a stub-network where all inbound and outbound traffic is recorded at the bridging computer to the WAN. We report on the …

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Stereoscopic 3-D Presentation For Air Traffic Control Digital Radar Displays, Jason G. Russi, Brent T. Langhals, Michael E. Miller, Eric L. Heft May 2017

Stereoscopic 3-D Presentation For Air Traffic Control Digital Radar Displays, Jason G. Russi, Brent T. Langhals, Michael E. Miller, Eric L. Heft

AFIT Patents

An apparatus and method of presenting air traffic data to an air traffic controller are provided. Air traffic data including a two dimensional spatial location and altitude for a plurality of aircraft is received. A disparity value is determined based on the altitude for each aircraft of the plurality of aircraft. Left and right eye images are generated of the plurality of aircraft where at least one of the left and right eye images is based on the determined disparity value. The left and right eye images are simultaneously displayed to the air traffic controller on a display. The simultaneously …

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Source Anonymization Of Digital Images: A Counter–Forensic Attack On Prnu Based Source Identification Techniques, Prithviraj Sengupta, Venkata Udaya Sameer, Ruchira Naskar, Ezhil Kalaimannan May 2017

Source Anonymization Of Digital Images: A Counter–Forensic Attack On Prnu Based Source Identification Techniques, Prithviraj Sengupta, Venkata Udaya Sameer, Ruchira Naskar, Ezhil Kalaimannan

Annual ADFSL Conference on Digital Forensics, Security and Law

A lot of photographers and human rights advocates need to hide their identity while sharing their images on the internet. Hence, source–anonymization of digital images has become a critical issue in the present digital age. The current literature contains a number of digital forensic techniques for “source–identification” of digital images, one of the most efficient of them being Photo–Response Non–Uniformity (PRNU) sensor noise pattern based source detection. PRNU noise pattern being unique to every digital camera, such techniques prove to be highly robust way of source–identification. In this paper, we propose a counter–forensic technique to mislead this PRNU sensor noise …

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Harnessing Predictive Models For Assisting Network Forensic Investigations Of Dns Tunnels, Irvin Homem, Panagiotis Papapetrou May 2017

Harnessing Predictive Models For Assisting Network Forensic Investigations Of Dns Tunnels, Irvin Homem, Panagiotis Papapetrou

Annual ADFSL Conference on Digital Forensics, Security and Law

In recent times, DNS tunneling techniques have been used for malicious purposes, however network security mechanisms struggle to detect them. Network forensic analysis has been proven effective, but is slow and effort intensive as Network Forensics Analysis Tools struggle to deal with undocumented or new network tunneling techniques. In this paper, we present a machine learning approach, based on feature subsets of network traffic evidence, to aid forensic analysis through automating the inference of protocols carried within DNS tunneling techniques. We explore four network protocols, namely, HTTP, HTTPS, FTP, and POP3. Three features are extracted from the DNS tunneled traffic: …

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An Accidental Discovery Of Iot Botnets And A Method For Investigating Them With A Custom Lua Dissector, Max Gannon, Gary Warner, Arsh Arora May 2017

An Accidental Discovery Of Iot Botnets And A Method For Investigating Them With A Custom Lua Dissector, Max Gannon, Gary Warner, Arsh Arora

Annual ADFSL Conference on Digital Forensics, Security and Law

This paper presents a case study that occurred while observing peer-to-peer network communications on a botnet monitoring station and shares how tools were developed to discover what ultimately was identified as Mirai and many related IoT DDOS Botnets. The paper explains how researchers developed a customized protocol dissector in Wireshark using the Lua coding language, and how this enabled them to quickly identify new DDOS variants over a five month period of study.

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Inferring Motion Direction Using Commodity Wi-Fi For Interactive Exergames, Kun Qian, Chenshu Wu, Zimu Zhou, Yue Zheng, Yang Zheng, Yunhao Liu May 2017

Inferring Motion Direction Using Commodity Wi-Fi For Interactive Exergames, Kun Qian, Chenshu Wu, Zimu Zhou, Yue Zheng, Yang Zheng, Yunhao Liu

Research Collection School Of Computing and Information Systems

In-air interaction acts as a key enabler for ambient intelligence and augmented reality. As an increasing popular example, exergames, and the alike gesture recognition applications, have attracted extensive research in designing accurate, pervasive and low-cost user interfaces. Recent advances in wireless sensing show promise for a ubiquitous gesture-based interaction interface with Wi-Fi. In this work, we extract complete information of motion-induced Doppler shifts with only commodity Wi-Fi. The key insight is to harness antenna diversity to carefully eliminate random phase shifts while retaining relevant Doppler shifts. We further correlate Doppler shifts with motion directions, and propose a light-weight pipeline to …

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