Implementation Of A Speech Recognition Algorithm To Facilitate Verbal Commands For Visual Analytics Law Enforcement Toolkit,
2015
Purdue University
Implementation Of A Speech Recognition Algorithm To Facilitate Verbal Commands For Visual Analytics Law Enforcement Toolkit, Shubham S. Rastogi, David L. Wiszowaty, Hanye Xu, Abish Malik, David S. Ebert
The Summer Undergraduate Research Fellowship (SURF) Symposium
The VALET (Visual Analytics Law Enforcement Toolkit) system allows the user to visualize and predict crime hotspots and analyze crime data. Police officers have difficulty in using VALET in a mobile situation, since the system allows only conventional input interfaces (keyboard and mouse). This research focuses on introducing a new input interface to VALET in the form of speech recognition, which allows the user to interact with the software without losing functionality. First an Application Program Interface (API) that was compatible with the VALET system was found and initial code scripts to test its functionality were written. Next, the code …
Using Data Visualization Software To Aid In The Analysis Of Geographical Data,
2015
Truman State University
Using Data Visualization Software To Aid In The Analysis Of Geographical Data, Matthew R. Evers, Inzamam Rahaman
STAR Program Research Presentations
NASA Web World Wind (Web WW) is designed to visualize and manage geographical data. As a first implementation of visualization and analysis, we designed an application to map earthquake data onto the globe. Portions of this code were merged with application monitoring magnetic field anomalies possibly associated with earthquake precursor activity. Web WW enabled the visualization of the directional vectors from this data to point to the source location of the earthquake. We also developed a prototype urban management application which utilizes OpenStreetMaps to provide simple features such as route navigation, geographical and services information in an area of interest. …
In Need Of A Domain-Specific Language Modeling Notation For Smartphone Applications With Portable Capability,
2015
Western University
In Need Of A Domain-Specific Language Modeling Notation For Smartphone Applications With Portable Capability, Hamza Ghandorh, Luiz Fernando Capretz Dr., Ali Bou Nassif Dr.
Electrical and Computer Engineering Publications
The rapid growth of the smartphone market and its increasing revenue has motivated developers to target multiple platforms. Market leaders, such as Apple, Google, and Microsoft, develop their smartphone applications complying with their platform specifications. The specification of each platform makes a platform-dedicated application incompatible with other platforms due to the diversity of operating systems, programming languages, and design patterns. Conventional development methodologies are applied to smartphone applications, yet they perform less well. Smartphone applications have unique hardware and software requirements. All previous factors push smartphone developers to build less sophisticated and low-quality products when targeting multiple smartphone platforms. Model-driven …
Formal Specification Driven Development,
2015
Kennesaw State University
Formal Specification Driven Development, Titus Fofung
Dissertations, Theses and Capstone Projects (Full IR Collection)
This paper researches a quantitative metric of investigating Formal Specification-Driven Development (FSDD). Formal specification is needed at the beginning of the development process to prevent ambiguity and to improve the quality through corrections of errors found in the late phases of a traditional design process, Software Development Life Cycle (SDLC). The research is conducted with capstone students using both the FSDD and the SDLC (traditional) models and a quantitative analysis is presented to evaluate the internal quality of the software. The tool used to measure the internal quality is the .NET 2013 analysis tool. Formal Specification-Driven Development (FSDD) is a …
Enabling Real Time In-Situ Context Based Experimentation To Observe User Behaviour,
2015
Singapore Management University
Enabling Real Time In-Situ Context Based Experimentation To Observe User Behaviour, Kartik Muralidaran
Dissertations and Theses Collection (Open Access)
Today’s mobile phones represent a rich and powerful computing platform, given their sensing, processing and communication capabilities. These devices are also part of the everyday life of millions of people, and coupled with the unprecedented access to personal context, make them the ideal tool for conducting behavioural experiments in an unobtrusive way. Transforming the mobile device from a mere observer of human context to an enabler of behavioural experiments however, requires not only providing experimenters access to the deep, near-real time human context (e.g., location, activity, group dynamics) but also exposing a disciplined scientific experimentation service that frees them from …
Towards A Robust Sparse Data Representation In Wireless Sensor Networks,
2015
Singapore Management University
Towards A Robust Sparse Data Representation In Wireless Sensor Networks, Abu Alsheik Mohammad, Shaowei Lin, Hwee-Pink Tan, Dusit Niyato
Research Collection School Of Computing and Information Systems
Compressive sensing has been successfully used for optimized operations in wireless sensor networks. However, raw data collected by sensors may be neither originally sparse nor easily transformed into a sparse data representation. This paper addresses the problem of transforming source data collected by sensor nodes into sparse representation with a few nonzero elements. Our contributions that address three major issues include: 1) an effective method that extracts population sparsity of the data, 2) a sparsity ratio guarantee scheme, and 3) a customized leaerning algorithm of the sparsifying dictionary. We introduce an unsupervised neural network to extract an intrinsic sparse coding …
A Study On The Geographical Distribution Of Brazil’S Prestigious Software Developers,
2015
Singapore Management University
A Study On The Geographical Distribution Of Brazil’S Prestigious Software Developers, Fernando Figueira Filho, Marcelo Gattermann Perin, Christoph Treude, Sabrina Marczak, Leandro De Almeida Melo, Igor Marques Da Silva, Lucas Bibiano Dos Santos
Research Collection School Of Computing and Information Systems
Brazil is an emerging economy with many IT initiatives from public and private sectors. To evaluate the progress of such initiatives, we study the geographical distribution of software developers in Brazil, in particular which of the Brazilian states succeed the most in attracting and nurturing them. We compare the prestige of developers with socio-economic data and find that (i) prestigious developers tend to be located in the most economically developed regions of Brazil, (ii) they are likely to follow others in the same state they are located in, (iii) they are likely to follow other prestigious developers, and (iv) they …
Memes As Building Blocks: A Case Study On Evolutionary Optimization + Transfer Learning For Routing Problems,
2015
Singapore Management University
Memes As Building Blocks: A Case Study On Evolutionary Optimization + Transfer Learning For Routing Problems, Liang Feng, Yew-Soon Ong, Ah-Hwee Tan, Ivor W. Tsang
Research Collection School Of Computing and Information Systems
A significantly under-explored area of evolutionary optimization in the literature is the study of optimization methodologies that can evolve along with the problems solved. Particularly, present evolutionary optimization approaches generally start their search from scratch or the ground-zero state of knowledge, independent of how similar the given new problem of interest is to those optimized previously. There has thus been the apparent lack of automated knowledge transfers and reuse across problems. Taking this cue, this paper presents a Memetic Computational Paradigm based on Evolutionary Optimization + Transfer Learning for search, one that models how human solves problems, and embarks on …
Cooperation In Delay-Tolerant Networks With Wireless Energy Transfer: Performance Analysis And Optimization,
2015
Nanyang Technological University
Cooperation In Delay-Tolerant Networks With Wireless Energy Transfer: Performance Analysis And Optimization, Dusit Niyato, Ping Wang, Hwee-Pink Tan, Walid Saad, Dong In Kim
Research Collection School Of Computing and Information Systems
We consider a delay-tolerant network (DTN) whose mobile nodes are assigned to collect packets from data sources and deliver them to a sink (i.e., a gateway). Each mobile node operates by using energy transferred wirelessly from the gateway. For such a network, two main issues are studied. First, when a mobile node is at the data source, this node must decide on whether to accept the packet received from the data source or not. In contrast, whenever a mobile node is at the gateway, it has to decide on whether to transmit the packets collected from the data sources or …
Apparatus And Method For Determining The Location Of A Mobile Device Using Multiple Wireless Access Points,
2015
University College London
Apparatus And Method For Determining The Location Of A Mobile Device Using Multiple Wireless Access Points, Kyle Jamieson, Jie Xiong
Research Collection School Of Computing and Information Systems
A method and apparatus are provided for determining the location of a mobile device using multiple wireless access points, each wireless access point comprising multiple antennas. The method comprises receiving a communication signal from the mobile device at said multiple antennas of said multiple wireless access points. For each wireless access point, angle-of-arrival information of the received communication signal at the wireless access point is determined, based on a difference in phase of the received signal between different antennas. The determined angle-of-arrival information for the received communication signal from the mobile device is then collected from each of the multiple …
Deep Learning For Just-In-Time Defect Prediction,
2015
Zhejiang University
Deep Learning For Just-In-Time Defect Prediction, Xinli Yang, David Lo, Xin Xia, Yun Zhang, Jianling Sun
Research Collection School Of Computing and Information Systems
Defect prediction is a very meaningful topic, particularly at change-level. Change-level defect prediction, which is also referred as just-in-time defect prediction, could not only ensure software quality in the development process, but also make the developers check and fix the defects in time. Nowadays, deep learning is a hot topic in the machine learning literature. Whether deep learning can be used to improve the performance of just-in-time defect prediction is still uninvestigated. In this paper, to bridge this research gap, we propose an approach Deeper which leverages deep learning techniques to predict defect-prone changes. We first build a set of …
Discovery Over Application: A Case Study Of Misaligned Incentives In Software Engineering,
2015
University of Nebraska-Lincoln
Discovery Over Application: A Case Study Of Misaligned Incentives In Software Engineering, Eric F. Rizzi
School of Computing: Dissertations, Theses, and Student Research
In this thesis, we present evidence that there is an under-emphasis on the application of software systems in Software Engineering research, affecting the advancement of the field as a whole. Specifically, we perform a case-study on KLEE, a tool with over 1000 citations. We made improvements that consisted of fixing performance bugs and implementing optimizations that have become common practice, increasing KLEE's performance by 2-11X. To understand how techniques proposed in the literature would be affected by these improvements, we analyzed 100 papers that cited the original KLEE paper. From this analysis we found two things. First, it is clear …
Detection And Classification Of Malicious Javascript Via Attack Behavior Modelling,
2015
Singapore Management University
Detection And Classification Of Malicious Javascript Via Attack Behavior Modelling, Yinxing Xue, Junjie Wang, Yang Liu, Hao Xiao, Jun Sun, Mahinthan Chandramohan
Research Collection School Of Computing and Information Systems
Existing malicious JavaScript (JS) detection tools and commercial anti-virus tools mostly use feature-based or signature-based approaches to detect JS malware. These tools are weak in resistance to obfuscation and JS malware variants, not mentioning about providing detailed information of attack behaviors. Such limitations root in the incapability of capturing attack behaviors in these approches. In this paper, we propose to use Deterministic Finite Automaton (DFA) to abstract and summarize common behaviors of malicious JS of the same attack type. We propose an automatic behavior learning framework, named JS∗ , to learn DFA from dynamic execution traces of JS malware, where …
On Multipath Link Characterization And Adaptation For Device-Free Human Detection,
2015
Singapore Management University
On Multipath Link Characterization And Adaptation For Device-Free Human Detection, Zimu Zhou, Zheng Yang, Chenshu Wu, Yunhao Liu, Lionel M. Ni
Research Collection School Of Computing and Information Systems
No abstract provided.
Automatic Video Self Modeling For Voice Disorder,
2015
University of Dayton
Automatic Video Self Modeling For Voice Disorder, Ju Shen, Changpeng Ti, Anusha Raghunathan, Sen-Ching S. Cheung, Rita Patel
Computer Science Faculty Publications
Video self modeling (VSM) is a behavioral intervention technique in which a learner models a target behavior by watching a video of him- or herself. In the field of speech language pathology, the approach of VSM has been successfully used for treatment of language in children with Autism and in individuals with fluency disorder of stuttering. Technical challenges remain in creating VSM contents that depict previously unseen behaviors. In this paper, we propose a novel system that synthesizes new video sequences for VSM treatment of patients with voice disorders. Starting with a video recording of a voice-disorder patient, the proposed …
An Empirical Study Of Classifier Combination On Cross-Project Defect Prediction,
2015
Zhejiang University
An Empirical Study Of Classifier Combination On Cross-Project Defect Prediction, Yun Zhang, David Lo, Xin Xia, Jianling Sun
Research Collection School Of Computing and Information Systems
To help developers better allocate testing and debugging efforts, many software defect prediction techniques have been proposed in the literature. These techniques can be used to predict classes that are more likely to be buggy based on past history of buggy classes. These techniques work well as long as a sufficient amount of data is available to train a prediction model. However, there is rarely enough training data for new software projects. To deal with this problem, cross-project defect prediction, which transfers a prediction model trained using data from one project to another, has been proposed and is regarded as …
Nat Traversal Techniques And Udp Keep-Alive Interval Optimization,
2015
Florida Institute of Technology
Nat Traversal Techniques And Udp Keep-Alive Interval Optimization, Christopher Daniel Widmer
Theses and Dissertations
NAT traversal presents a challenge to Peer to Peer (P2P) applications, as in many instances a third party is needed to help initiate communication between two hosts when one is behind one or more NAT devices. Much work has gone into facilitating communication across NATs using various protocols, and several standards have been developed to this end. This thesis explores the advantages and disadvantages of several of these standards, including protocols for interacting with the NAT device itself (NAT Port Mapping Protocol (NATPMP), Port Control Protocol (PCP), and Universal Plug and Play (UPnP)), and those using an external server to …
Active Semi-Supervised Approach For Checking App Behavior Against Its Description,
2015
Singapore Management University
Active Semi-Supervised Approach For Checking App Behavior Against Its Description, Ma Siqi, Shaowei Wang, David Lo, Deng, Robert H., Cong Sun
Research Collection School Of Computing and Information Systems
Mobile applications are popular in recent years. They are often allowed to access and modify users' sensitive data. However, many mobile applications are malwares that inappropriately use these sensitive data. To detect these malwares, Gorla et al. Propose CHABADA which compares app behaviors against its descriptions. Data about known malwares are not used in their work, which limits its effectiveness. In this work, we extend the work by Gorla et al. By proposing an active and semi-supervised approach for detecting malwares. Different from CHABADA, our approach will make use of both known benign and malicious apps to predict other malicious …
Optimizing Selection Of Competing Features Via Feedback-Directed Evolutionary Algorithms,
2015
Singapore Management University
Optimizing Selection Of Competing Features Via Feedback-Directed Evolutionary Algorithms, Tian Huat Tan, Yinxing Xue, Manman Chen, Jun Sun, Yang Liu, Jin Song Dong Dong
Research Collection School Of Computing and Information Systems
Software that support various groups of customers usually require complicated configurations to attain different functionalities. To model the configuration options, feature model is proposed to capture the commonalities and competing variabilities of the product variants in software family or Software Product Line (SPL). A key challenge for deriving a new product is to find a set of features that do not have inconsistencies or conflicts, yet optimize multiple objectives (e.g., minimizing cost and maximizing number of features), which are often competing with each other. Existing works have attempted to make use of evolutionary algorithms (EAs) to address this problem. In …
Reliability Assessment For Distributed Systems Via Communication Abstraction And Refinement,
2015
Singapore Management University
Reliability Assessment For Distributed Systems Via Communication Abstraction And Refinement, Lin Gui, Jun Sun, Yang Liu, Jin Song Dong
Research Collection School Of Computing and Information Systems
Distributed systems like cloud-based services are ever more popular. Assessing the reliability of distributed systems is highly non-trivial. Particularly, the order of executions among distributed components adds a dimension of non-determinism, which invalidates existing reliability assessment methods based on Markov chains. Probabilistic model checking based on models like Markov decision processes is designed to deal with scenarios involving both probabilistic behavior (e.g., reliabilities of system components) and non-determinism. However, its application is currently limited by state space explosion, which makes reliability assessment of distributed system particularly difficult. In this work, we improve the probabilistic model checking through a method of …
