Cyber Foraging: Fifteen Years Later,
2017
Singapore Management University
Cyber Foraging: Fifteen Years Later, Rajesh Krishna Balan, Jason Flinn
Research Collection School Of Computing and Information Systems
Revisiting Mahadev Satyanarayanan's original vision of cyber foraging and reflecting on the last 15 years of related research, the authors discuss the major accomplishments achieved as well as remaining challenges. They also look to current and future applications that could provide compelling application scenarios for making cyber foraging a widely deployed technology. This article is part of a special issue on pervasive computing revisited.
Cloud-Based Query Evaluation For Energy-Efficient Mobile Sensing,
2017
Singapore Management University
Cloud-Based Query Evaluation For Energy-Efficient Mobile Sensing, Tianli Mo, Lipyeow Lim, Sougata Sen, Archan Misra, Rajesh Krishna Balan, Youngki Lee
Research Collection School Of Computing and Information Systems
In this paper, we reduce the energy overheads of continuous mobile sensing, specifically for the case of context-aware applications that are interested in collective context or events, i.e., events expressed as a set of complex predicates over sensor data from multiple smartphones. We propose a cloud-based query management and optimization framework, called CloQue, that can support thousands of such concurrent queries, executing over a large number of individual smartphones. Our central insight is that the context of different individuals & groups often have significant correlation, and that this correlation can be learned through standard association rule mining on historical data. …
Mopeye: Opportunistic Monitoring Of Per-App Mobile Network Performance,
2017
Singapore Management University
Mopeye: Opportunistic Monitoring Of Per-App Mobile Network Performance, Daoyuan Wu, Rocky K. C. Chang, Weichao Li, Eric K. T. Cheng, Debin Gao
Research Collection School Of Computing and Information Systems
Crowdsourcing mobile user’s network performance has become an effective way of understanding and improving mobile network performance and user quality-of-experience. However, the current measurement method is still based on the landline measurement paradigm in which a measurement app measures the path to fixed (measurement or web) servers. In this work, we introduce a new paradigm of measuring per-app mobile network performance. We design and implement MopEye, an Android app to measure network round-trip delay for each app whenever there is app traffic. This opportunistic measurement can be conducted automatically without user intervention. Therefore, it can facilitate a large-scale and long-term …
A Decidable Fragment In Separation Logic With Inductive Predicates And Arithmetic,
2017
Singapore Management University
A Decidable Fragment In Separation Logic With Inductive Predicates And Arithmetic, Quang Loc Le, Makoto Tatsuta, Jun Sun, Wei-Ngan Chin
Research Collection School Of Computing and Information Systems
We consider the satisfiability problem for a fragment of separation logic including inductive predicates with shape and arithmetic properties. We show that the fragment is decidable if the arithmetic properties can be represented as semilinear sets. Our decision procedure is based on a novel algorithm to infer a finite representation for each inductive predicate which precisely characterises its satisfiability. Our analysis shows that the proposed algorithm runs in exponential time in the worst case. We have implemented our decision procedure and integrated it into an existing verification system. Our experiment on benchmarks shows that our procedure helps to verify the …
Jfix: Semantics-Based Repair Of Java Programs Via Symbolic Pathfinder,
2017
Singapore Management University
Jfix: Semantics-Based Repair Of Java Programs Via Symbolic Pathfinder, Xuan Bach D. Le, Duc-Hiep Chu, David Lo, Goues Le, Willem Visser
Research Collection School Of Computing and Information Systems
Recently there has been a proliferation of automated program repair (APR) techniques, targeting various programming languages. Such techniques can be generally classified into two families: syntactic- and semantics-based. Semantics-based APR, on which we focus, typically uses symbolic execution to infer semantic constraints and then program synthesis to construct repairs conforming to them. While syntactic-based APR techniques have been shown success- ful on bugs in real-world programs written in both C and Java, semantics-based APR techniques mostly target C programs. This leaves empirical comparisons of the APR families not fully explored, and developers without a Java-based semantics APR technique. We present …
Iupdater: Low Cost Rss Fingerprints Updating For Device-Free Localization,
2017
Northwest University
Iupdater: Low Cost Rss Fingerprints Updating For Device-Free Localization, Liqiong Chang, Jie Xiong, Yu Wang, Xiaojiang Chen, Junhao Hu, Dingyi Fang
Research Collection School Of Computing and Information Systems
While most existing indoor localization techniques are device-based, many emerging applications such as intruder detection and elderly monitoring drive the needs of device-free localization, in which the target can be localized without any device attached. Among the diverse techniques, received signal strength (RSS) fingerprint-based methods are popular because of the wide availability of RSS readings in most commodity hardware. However, current fingerprint-based systems suffer from high human labor cost to update the fingerprint database and low accuracy due to the large degree of RSS variations. In this paper, we propose a fingerprint-based device-free localization system named iUpdater to significantly reduce …
Adviser+: Toward A Usable Web-Based Algorithm Portfolio Deviser,
2017
Singapore Management University
Adviser+: Toward A Usable Web-Based Algorithm Portfolio Deviser, Hoong Chuin Lau, Mustafa Misir, Xiang Li Li, Lingxiao Jiang
Research Collection School Of Computing and Information Systems
The present study offers a more user-friendly and parallelized version of a web-based algorithm portfolio generator, called ADVISER. ADVISER is a portfolio generation tool to deliver a group of configurations for a given set of algorithms targeting a particular problem. The resulting configurations are expected to be diverse such that each can perform well on a certain type of problem instances. One issue with ADVISER is that it performs portfolio generation on a single-core which results in long waiting times for the users. Besides that, it lacks of a reporting system with visualizations to tell more about the generated portfolios. …
Convergence Technologies For Sensor Systems In The Next Generation Networks,
2017
Institute of Technology Blanchardstown, Ireland,
Convergence Technologies For Sensor Systems In The Next Generation Networks, Conor Gildea, Declan Barber
The ITB Journal
This paper describes an approach to the internetworking of sensory nodes in a converged network environment. This preliminary investigation of sensory network creation is driven by a joint applied research project which seeks to establish the feasibility of the real-time remote monitoring of animal welfare while in transit between Ireland, Europe and the Middle East. This paper examines the use of Java to create sensor services in converging architectures which leverage the Internetworking protocols and describes our implementation of such a system.
Neural Networks For Real-Time Pathfinding In Computer Games,
2017
School oflnformatics and Engineering, Institute of Technology at Blanchardstown, Dublin l5.
Neural Networks For Real-Time Pathfinding In Computer Games, Ross Graham, Hugh Mccabe, Stephen Sheridan
The ITB Journal
One of the greatest challenges in the design of realistic Artificial Intelligence (Al) in computer games is agent movement. Pathfinding strategies are usually employed as the core of any AI movement system. The two main components for basic real-time pathfinding are (i) travelling towards a specified goal and (ii) avoiding dynamic and static obstacles that may litter the path to this goal. The focus of this paper is how machine learning techniques, such as Artificial Neural Networks and Genetic Algorithms, can be used to enhance an AI agent's ability to handle pathfinding in real-time by giving them an awareness of …
Emotion Authentication: A Method For Voice Integrity Checking,
2017
Middlesex University, School of Computing science, Bramley Rd, Oakwood, N14 4YZ UK.
Emotion Authentication: A Method For Voice Integrity Checking, C. Reynolds, L. Vasiu, M. Smith
The ITB Journal
When people communicate with telephone type systems, it is often assumed that the listener would notice any modification of the speaker's voice. It is possible however to introduce small changes that would not be noticed by a listener but could modify the reading of a Voice Stress Analyser, popularly referred to as a lie detector. Existing approaches to checking the integrity of voice require significant amounts of processing or are able to detect only non-subtle modification such as change of speaker. With the advent of real time voice modification using software and hardware based signal processing, we argue that it …
Strengthening The Practices Of An Agile Methodology?,
2017
Department of Computing, Institute of Technology Tallaght, Dublin 24.
Strengthening The Practices Of An Agile Methodology?, Jimmy Doody, Amanda O'Farrell
The ITB Journal
An investigation into how the software development process in an agile environment (Extreme Programming) can be aided by intelligent software, leading to the development of a tool that will automate the process of standardising and clarifying source code. The tool will also speed up and aid the testing process, by producing test objects based on the source code, and by providing full test tracking, without having a negative impact on the development process. By making the coding and testing processes more automated, the research aims to evaluate the following hypotheses: 1. That the programmer's productivity can be increased by the …
Setting Up And Mentoring In Coderdojo Dublin 15,
2017
Technological University Dublin
Setting Up And Mentoring In Coderdojo Dublin 15, Arnold Hensman
The ITB Journal
Initilally beginning in Ireland, CoderDojo is a non-profit organisation that has grown rapidly into a global network of community based programming clubs. Mentors teach coding skills to young people aged between 7 and 17. All classes are free of charge and clubs operate entirely on a volunteer basis. The first Dublin 15 based CoderDojo began just over two years ago and continues to thrive during weekend sessions held at The Institute of Technology Blanchardstown (ITB), which offers the use of its premises and resources for the sessions. This paper will chronicle the involvement of ITB staff and students with the …
Fusing Mobile, Wearable And Infrastructure Sensing For Immersive Daily Lifestyle Analytics,
2017
Singapore Management University
Fusing Mobile, Wearable And Infrastructure Sensing For Immersive Daily Lifestyle Analytics, Sougata Sen
Dissertations and Theses Collection
With the prevalence of sensors in public infrastructure as well as in personal devices, exploitation of data from these sensors to monitor and profile basic activities (e.g., locomotive states such as walking, and gestural actions such as smoking) has gained popularity. Basic activities identified by these sensors will drive the next generation of lifestyle monitoring applications and services. To provide more advanced and personalized services, these next-generation systems will need to capture and understand increasingly finer-grained details of various common daily life activities. In this dissertation, I demonstrate the possibility of building systems using offthe- shelf devices, that not only …
Recommending Personalized Schedules In Urban Environments,
2017
Singapore Management University
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 …
Senior Project: Calendar,
2017
California Polytechnic State University, San Luis Obispo
Senior Project: Calendar, Jason L. Chin
Computer Science and Software Engineering
This calendar application is meant to help individuals with busy schedules. Those who must balance their time between working on multiple simultaneous projects would categorize key users. In the application, users will be able to participate in multiple projects at any one time. When a user is in a project, they will be able to create tasks, add tasks, be assigned to tasks, and add other users to the project. A key feature in this application is that each user is provided a personal project. In their personal project, any task assigned to the user from any project, will be …
Ubiear: Bringing Location-Independent Sound Awareness To The Hard-Of-Hearing People With Smartphones,
2017
Singapore Management University
Ubiear: Bringing Location-Independent Sound Awareness To The Hard-Of-Hearing People With Smartphones, Sicong Liu, Zimu Zhou, Junzhao Du, Longfei Shangguan, Jun Han, Xin Wang
Research Collection School Of Computing and Information Systems
Non-speech sound-awareness is important to improve the quality of life for the deaf and hard-of-hearing (DHH) people. DHH people, especially the young, are not always satisfied with their hearing aids. According to the interviews with 60 young hard-of-hearing students, a ubiquitous sound-awareness tool for emergency and social events that works in diverse environments is desired. In this paper, we design UbiEar, a smartphone-based acoustic event sensing and notification system. Core techniques in UbiEar are a light-weight deep convolution neural network to enable location-independent acoustic event recognition on commodity smartphons, and a set of mechanisms for prompt and energy-efficient acoustic sensing. …
Unreal Engine 4 Rpg,
2017
California Polytechnic State University, San Luis Obispo
Unreal Engine 4 Rpg, Jacob W. Russ, Jeffrey J. Nunez
Computer Engineering
Classic RPG videogames have become few and far between in the Western market over the years as modern RPG systems have gained popularity. The purpose of this project is to present a vertical slice of a hybrid RPG game that takes the gameplay mechanics and styles of classic RPG videogames and infuses them with a modern presentation. Through the use of the powerful Unreal Engine 4 graphics engine, this project is able to combine impressive graphical fidelity with modernized systems to fuel a videogame that is undeniably a classic RPG at heart. This is not a full game, but a …
Computer Vision Based Route Mapping,
2017
California Polytechnic State University, San Luis Obispo
Computer Vision Based Route Mapping, Ryan S. Kehlenbeck, Zachary Cody
Computer Science and Software Engineering
The problem our project solves is the integration of edge detection techniques with mapping libraries to display routes based on images. To do this, we used the OpenCV library within an Android application. This application lets a user import an image from their device, and uses edge detection to pull out a path from the image. The application can find the user's location and uses it alongside the path data from the image to create a route using the physical roads near the location. The shape of the route matches the edges from the given image and the user can …
Battery-Aware Mobile Data Service,
2017
Singapore Management University
Battery-Aware Mobile Data Service, Liang He, Guozhu Meng, Yu Gu, Cong Liu, Jun Sun, Ting Zhu, Yang Liu, Kang G. Shin
Research Collection School Of Computing and Information Systems
Significant research has been devoted to reduce the energy consumption of mobile devices, but how to increase their energy supply has received far less attention. Moreover, reducing the energy consumption alone does not always extend the device operation time due to a unique battery property - the capacity it delivers hinges critically upon how it is discharged. In this paper, we propose B-MODS, a novel design of battery-aware mobile data service on mobile devices. B-MODS constructs battery-friendly discharge patterns utilizing the recovery effect so as to increase the capacity delivered from batteries while meeting data service requirements. We implement B-MODS …
Understanding Android App Piggybacking: A Systematic Study Of Malicious Code Grafting,
2017
University of Luxembourg
Understanding Android App Piggybacking: A Systematic Study Of Malicious Code Grafting, Li Li, Daoyuan Li, Tegawende F. Bissyande, Jacques Klein, Yves Le Traon, David Lo, Lorenzo Cavallaro
Research Collection School Of Computing and Information Systems
The Android packaging model offers ample opportunities for malware writers to piggyback malicious code in popular apps, which can then be easily spread to a large user base. Although recent research has produced approaches and tools to identify piggybacked apps, the literature lacks a comprehensive investigation into such phenomenon. We fill this gap by: 1) systematically building a large set of piggybacked and benign apps pairs, which we release to the community; 2) empirically studying the characteristics of malicious piggybacked apps in comparison with their benign counterparts; and 3) providing insights on piggybacking processes. Among several findings providing insights analysis …
