Open Access. Powered by Scholars. Published by Universities.®
- Discipline
-
- Engineering (537)
- Computer Engineering (374)
- Electrical and Computer Engineering (258)
- Databases and Information Systems (252)
- Social and Behavioral Sciences (173)
-
- Software Engineering (156)
- Numerical Analysis and Scientific Computing (151)
- Information Security (141)
- Mathematics (136)
- Artificial Intelligence and Robotics (93)
- Business (90)
- Programming Languages and Compilers (85)
- Education (84)
- Graphics and Human Computer Interfaces (75)
- Life Sciences (72)
- Communication (61)
- Law (58)
- Other Computer Sciences (57)
- Statistics and Probability (54)
- Computer Law (52)
- Arts and Humanities (51)
- Theory and Algorithms (50)
- Higher Education (46)
- OS and Networks (43)
- Science and Mathematics Education (42)
- Applied Mathematics (41)
- Legal Studies (38)
- Forensic Science and Technology (36)
- Institution
-
- Singapore Management University (368)
- TÜBİTAK (163)
- Wright State University (110)
- University of Texas at El Paso (90)
- Brigham Young University (81)
-
- Missouri University of Science and Technology (77)
- University of Nebraska - Lincoln (70)
- Edith Cowan University (56)
- Embry-Riddle Aeronautical University (49)
- University for Business and Technology in Kosovo (49)
- Old Dominion University (43)
- Marquette University (39)
- University of Nebraska at Omaha (39)
- California Polytechnic State University, San Luis Obispo (35)
- Purdue University (35)
- San Jose State University (33)
- Taylor University (30)
- Technological University Dublin (27)
- University of Nevada, Las Vegas (26)
- University of South Florida (26)
- City University of New York (CUNY) (25)
- University of Texas at Arlington (25)
- Nova Southeastern University (23)
- Portland State University (20)
- California State University, San Bernardino (18)
- Dartmouth College (18)
- Southwestern Oklahoma State University (18)
- University of Arkansas, Fayetteville (17)
- Utah State University (16)
- University of Kentucky (15)
- Keyword
-
- Applied sciences (36)
- Security (26)
- Simulation (22)
- Machine learning (20)
- Algorithms (18)
-
- Data mining (18)
- Cloud computing (16)
- Information technology (15)
- Classification (14)
- Privacy (14)
- Genetic algorithm (13)
- Android (12)
- Image processing (12)
- Performance (12)
- Social media (12)
- Education (11)
- Optimization (11)
- Visualization (11)
- Artificial intelligence (10)
- Clustering (10)
- Computer science (10)
- Mobile (10)
- Online learning (10)
- Ontology (10)
- Computer vision (9)
- Digital forensics (9)
- Software (9)
- Twitter (9)
- AHRC (8)
- Artificial Intelligence (8)
- Publication
-
- Research Collection School Of Computing and Information Systems (351)
- Turkish Journal of Electrical Engineering and Computer Sciences (163)
- Theses and Dissertations (86)
- Departmental Technical Reports (CS) (72)
- Computer Science & Engineering Syllabi (58)
-
- Journal of Undergraduate Research (53)
- The R Journal (51)
- Computer Science Faculty Research & Creative Works (44)
- Mathematics, Statistics and Computer Science Faculty Research and Publications (38)
- Journal of Digital Forensics, Security and Law (35)
- Master's Projects (32)
- ACMS Conference Proceedings 2013 (30)
- Computer Science Faculty Publications (28)
- UBT International Conference (28)
- USF Tampa Graduate Theses and Dissertations (25)
- Computer Science and Engineering Faculty Publications (23)
- CCAC Theses and Dissertations (22)
- Computer Science Technical Reports (18)
- Oklahoma Research Day Abstracts (18)
- Open Access Dissertations (18)
- Open Access Theses & Dissertations (18)
- Theses Digitization Project (18)
- Kno.e.sis Publications (17)
- Australian Digital Forensics Conference (16)
- Computer Science and Engineering Dissertations - Archive (16)
- Electrical and Computer Engineering Faculty Research & Creative Works (16)
- Electronic Theses and Dissertations (16)
- UNLV Theses, Dissertations, Professional Papers, and Capstones (16)
- Computer Science Faculty Publications and Presentations (14)
- Annual ADFSL Conference on Digital Forensics, Security and Law (13)
- Publication Type
- File Type
Articles 481 - 510 of 2092
Full-Text Articles in Computer Sciences
Using Meta-Ethnography To Synthesize Research: A Worked Example Of The Relations Between Personality On Software Team Processes, Fabio Q. B. Silva Dr., Shirley S. J. O. Cruz, Tatiana B. Gouveia, Luiz Fernando Capretz
Using Meta-Ethnography To Synthesize Research: A Worked Example Of The Relations Between Personality On Software Team Processes, Fabio Q. B. Silva Dr., Shirley S. J. O. Cruz, Tatiana B. Gouveia, Luiz Fernando Capretz
Electrical and Computer Engineering Publications
Context: The increase in the number of qualitative and mixed-methods research published in software engineering has created an opportunity for further knowledge generation through the synthesis of studies with similar aims. This is particularly true in the research on human aspects because the phenomena of interest are often better understood using qualitative research. However, the use of qualitative synthesis methods is not widespread and worked examples of their consistent application in software engineering are needed. Objective: To explore the use of meta-ethnography in the synthesis of empirical studies in software engineering through an example using studies about the relations between …
Evaluating The Presence Of A Victim Cache On An Arm Processor, Lakshmi Vidya Peri
Evaluating The Presence Of A Victim Cache On An Arm Processor, Lakshmi Vidya Peri
Computer Science Graduate Projects and Theses
Mobile processor is a CPU designed to save power. It is found in mobile computers and cell phones. A CPU chip, designed for portable computers, is typically housed in a smaller chip package, but more importantly, in order to run cooler, it uses lower voltages than its desktop counterpart and has more "sleep mode" capability. A mobile processor can be throttled down to different power levels and/or sections of the chip can be turned off entirely when not in use. ARM is a 32-bit reduced instruction set computer (RISC) instruction set architecture (ISA). The relative simplicity of ARM processors makes …
Similarity Approach To Defining Basic Level Of Concepts Explained From The Utility Viewpoint, Joe Lorkowski, Martin Trnecka
Similarity Approach To Defining Basic Level Of Concepts Explained From The Utility Viewpoint, Joe Lorkowski, Martin Trnecka
Departmental Technical Reports (CS)
In many practical situations, it is necessary to describe an image in words. From the purely logical viewpoint, to describe the same object, we can use concepts of different levels of abstraction: e.g., when the image includes a dog, we can say that it is a dog, or that it is a mammal, or that it is a German Shepherd. In such situations, humans usually select a concept which, to them, in the most natural; this concept is called the basic level concept. However, the notion of a basic level concept is difficult to describe in precise terms; as a …
Distributed Agent Cloud-Sourced Malware Reporting Framework, Kellie Elizabeth Kercher
Distributed Agent Cloud-Sourced Malware Reporting Framework, Kellie Elizabeth Kercher
Theses and Dissertations
Malware is a fast growing threat that consists of a malicious script or piece of software that is used to disrupt the integrity of a user's experience. Antivirus software can help protect a user against these threats and there are numerous vendors users can choose from for their antivirus protection. However, each vendor has their own set of virus definitions varying in resources and capabilities in recognizing new threats. Currently, a persistent system is not in place that measures and displays data on the performance of antivirus vendors in responding to new malware over a continuous period of time. There …
Euroby Management Suite, Ahmet Murati
Euroby Management Suite, Ahmet Murati
Theses and Dissertations
This paper is written to summarize the project I worked for Bachelor Thesis. This project included a study and the knowledge grasped from my personal experience while Euroby 2008 till 2011. The aim of this project is to manage championships that multiple teams do compete in various leagues. The project was developed into several study cases and it is based also on a paper that was delivered in Subject “Lab Programming”. The knowledge I grasped through this period while I was working in the project is valuable asset for pursuing further education in field of IT.
The software is implemented …
Gps Programi Në Pajisjet Mobile: Trajtim Krahasues Në Mes Java Për Android Dhe Phonegap, Lavdim Menxhiqi
Gps Programi Në Pajisjet Mobile: Trajtim Krahasues Në Mes Java Për Android Dhe Phonegap, Lavdim Menxhiqi
Theses and Dissertations
Siq e dimë, suksesi jonë n’varet nga informimi, aplikacionet mobile janë rruga më e shpejtë dhe më e lehtë. Përmes tyre, informohemi përderisa jemi në levizje, marrim produktivitet maksimal në më pak kohë të humbur. Pa marrë parasysh çfar tipi të telefonit të mençur kemi, egziston numër i madh i aplikacioneve që mund ti shkarkojm. Në ditët e sotme egzistojn telefona të mençur, me shumë sisteme operative mobile, ku disa prej tyre jane: iOS Android Windows Phone BlackBerry WebOS Symbian Varësisht prej numrit të përdorusve që ka secili sistem operativ mobil, zhvilluesit zgjedhin se …
Discrete Dynamics On Noncommunative Cw Complexs, Vida Milani, Seyed M.H. Mansourbeigi
Discrete Dynamics On Noncommunative Cw Complexs, Vida Milani, Seyed M.H. Mansourbeigi
Computer Science Student Research
The concept of discrete multivalued dynamical systems for noncommutative CW complexes is developed. Stable and unstable manifolds are introduced and their role in geometric and topological configurations of noncommutative CW complexes is studied. Our technique is illustrated by an example on the noncommutative CW complex decomposition of the algebra of continuous functions on two dimensional torus.
A Robust Rgbd Slam System For 3d Environment With Planar Surfaces, Po-Chang Su, Ju Shen, Sen-Ching S. Cheung
A Robust Rgbd Slam System For 3d Environment With Planar Surfaces, Po-Chang Su, Ju Shen, Sen-Ching S. Cheung
Computer Science Faculty Publications
With the increasing popularity of RGB-depth (RGB-D) sensors such as the Microsoft Kinect, there have been much research on capturing and reconstructing 3D environments using a movable RGB-D sensor. The key process behind these kinds of simultaneous location and mapping (SLAM) systems is the iterative closest point or ICP algorithm, which is an iterative algorithm that can estimate the rigid movement of the camera based on the captured 3D point clouds. While ICP is a well-studied algorithm, it is problematic when it is used in scanning large planar regions such as wall surfaces in a room. The lack of depth …
Bayesian Decision Theoretic Approach To Directional Multiple Hypotheses Problems, Naveen K. Bansal, Klaus J. Miescke
Bayesian Decision Theoretic Approach To Directional Multiple Hypotheses Problems, Naveen K. Bansal, Klaus J. Miescke
Mathematics, Statistics and Computer Science Faculty Research and Publications
A multiple hypothesis problem with directional alternatives is considered in a decision theoretic framework. Skewness in the alternatives is considered, and it is shown that this skewness permits the Bayes rules to possess certain advantages when one direction of the alternatives is more important or more probable than the other direction. Bayes rules subject to constraints on certain directional false discovery rates are obtained, and their performances are compared with a traditional FDR rule through simulation. We also analyzed a gene expression data using our methodology, and compare the results to that of a FDR method.
Handling Concept Drift In The Context Of Expensive Labels, Patrick Lindstrom
Handling Concept Drift In The Context Of Expensive Labels, Patrick Lindstrom
Doctoral
Machine learning has been successfully applied to a wide range of prediction problems, yet its application to data streams can be complicated by concept drift. Existing approaches to handling concept drift are overwhelmingly reliant on the assumption that it is possible to obtain the true label of an instance shortly after classification at a negligible cost. The aim of this thesis is to examine, and attempt to address, some of the problems related to handling concept drift when the cost of obtaining labels is high. This thesis presents Decision Value Sampling (DVS), a novel concept drift handling approach which periodically …
Mining Effective Multi-Segment Sliding Window For Pathogen Incidence Rate Prediction, Lei Duan, Changjie Tang, Xiasong Li, Guozhu Dong, Xianming Wang, Jie Zuo, Min Jiang, Zhongqi Li, Yongqing Zhang
Mining Effective Multi-Segment Sliding Window For Pathogen Incidence Rate Prediction, Lei Duan, Changjie Tang, Xiasong Li, Guozhu Dong, Xianming Wang, Jie Zuo, Min Jiang, Zhongqi Li, Yongqing Zhang
Kno.e.sis Publications
Pathogen incidence rate prediction, which can be considered as time series modeling, is an important task for infectious disease incidence rate prediction and for public health. This paper investigates the application of a genetic computation technique, namely GEP, for pathogen incidence rate prediction. To overcome the shortcomings of traditional sliding windows in GEP-based time series modeling, the paper introduces the problem of mining effective sliding window, for discovering optimal sliding windows for building accurate prediction models. To utilize the periodical characteristic of pathogen incidence rates, a multi-segment sliding window consisting of several segments from different periodical intervals is proposed and …
Types Of Property Pairs And Alignment On Linked Datasets - A Preliminary Analysis, Kalpa Gunaratna, Krishnaprasad Thirunarayan, Amit P. Sheth
Types Of Property Pairs And Alignment On Linked Datasets - A Preliminary Analysis, Kalpa Gunaratna, Krishnaprasad Thirunarayan, Amit P. Sheth
Kno.e.sis Publications
Dataset publication on the Web has been greatly influenced by the Linked Open Data (LOD) project. Many interlinked datasets have become freely available on the Web creating a structured and distributed knowledge representation. Analysis and aligning of concepts and instances in these interconnected datasets have received a lot of attention in the recent past compared to properties. We identify three different categories of property pairs found in the alignment process and study their relative distribution among well known LOD datasets. We also provide comparative analysis of state-of-the-art techniques with regard to different categories, highlighting their capabilities. This could lead to …
Document Binarization With Automatic Parameter Tuning, Nicholas Howe
Document Binarization With Automatic Parameter Tuning, Nicholas Howe
Computer Science: Faculty Publications
Document analysis systems often begin with binarization as a first processing stage. Although numerous techniques for binarization have been proposed, the results produced can vary in quality and often prove sensitive to the settings of one or more control parameters. This paper examines a promising approach to binarization based upon simple principles, and shows that its success depends most significantly upon the values of two key parameters. It further describes an automatic technique for setting these parameters in a manner that tunes them to the individual image, yielding a final binarization algorithm that can cut total error by one-third with …
An Exploratory Study Of Pre-Service Middle School Teachers’ Knowledge Of Algebraic Thinking, Marta Magiera, Leigh A. Van Den Kieboom, John C. Moyer
An Exploratory Study Of Pre-Service Middle School Teachers’ Knowledge Of Algebraic Thinking, Marta Magiera, Leigh A. Van Den Kieboom, John C. Moyer
Mathematics, Statistics and Computer Science Faculty Research and Publications
Using algebraic habits of mind as a framework, and focusing on thinking about functions and how they work, we examined the relationship between 18 pre-service middle school teachers’ ability to use the features of the algebraic thinking (AT) habit of mind “Building Rules to Represent Functions” and their ability to recognize and interpret the features of the same AT habit of mind in middle school students. We assessed the pre-service teachers’ own ability to use the AT habit of mind Building Rules to Represent Functions by examining their solutions to algebra-based tasks in a semester-long mathematics content course. We assessed …
An Investigation Of Teachers' Intentions And Reflections About Using Standards-Based And Traditional Textbooks In The Classroom, Bikai Nie, Tony Freedman, Stephen Hwang, Ning Wang, John Moyer, Jinfa Cai
An Investigation Of Teachers' Intentions And Reflections About Using Standards-Based And Traditional Textbooks In The Classroom, Bikai Nie, Tony Freedman, Stephen Hwang, Ning Wang, John Moyer, Jinfa Cai
Mathematics, Statistics and Computer Science Faculty Research and Publications
This study analyzed teachers’ intentions for and reflections on their use of Standards-based [Connected Mathematics Program (CMP)] textbooks and traditional (non-CMP) mathematics textbooks to guide instruction. In this investigation of the interplay between textbooks and instruction, we focused on learning goals, instructional tasks, teachers’ anticipation of students’ difficulties, and their perceptions of students’ achievement of learning goals. All of these are aspects of teachers’ intentions and reflections that have proved fruitful in comparing the roles of the CMP and non-CMP mathematics textbooks in our Longitudinal Investigation of the Effect of Curriculum on Algebra Learning project. Whereas the cognitive level …
The Semigroups B2 And B0 Are Inherently Nonfinitely Based, As Restriction Semigroups, Peter R. Jones
The Semigroups B2 And B0 Are Inherently Nonfinitely Based, As Restriction Semigroups, Peter R. Jones
Mathematics, Statistics and Computer Science Faculty Research and Publications
The five-element Brandt semigroup B2 and its four-element subsemigroup B0, obtained by omitting one nonidempotent, have played key roles in the study of varieties of semigroups. Regarded in that fashion, they have long been known to be finitely based. The semigroup B2 carries the natural structure of an inverse semigroup. Regarded as such, in the signature {⋅, -1}, it is also finitely based. It is perhaps surprising, then, that in the intermediate signature of restriction semigroups — essentially, "forgetting" the inverse operation x ↦ x-1 and retaining the induced operations x ↦ x+ …
Sub-Independence: An Expository Perspective, Gholamhossein Hamedani
Sub-Independence: An Expository Perspective, Gholamhossein Hamedani
Mathematics, Statistics and Computer Science Faculty Research and Publications
Limit theorems as well as other well-known results in probability and statistics are often based on the distribution of the sums of independent random variables. The concept of sub-independence, which is much weaker than that of independence, is shown to be sufficient to yield the conclusions of these theorems and results. It also provides a measure of dissociation between two random variables which is much stronger than uncorrelatedness.
Usable Security For Wireless Body-Area Networks, Cory Cornelius
Usable Security For Wireless Body-Area Networks, Cory Cornelius
Dartmouth College Ph.D Dissertations
We expect wireless body-area networks of pervasive wearable devices will enable in situ health monitoring, personal assistance, entertainment personalization, and home automation. As these devices become ubiquitous, we also expect them to interoperate. That is, instead of closed, end-to-end body-worn sensing systems, we envision standardized sensors that wirelessly communicate their data to a device many people already carry today, the smart phone. However, this ubiquity of wireless sensors combined with the characteristics they sense present many security and privacy problems. In this thesis we describe solutions to two of these problems. First, we evaluate the use of bioimpedance for recognizing …
Theory And Practice, Do They Match? A Case With Spectrum-Based Fault Localization, Tien-Duy B. Le, Ferdian Thung, David Lo
Theory And Practice, Do They Match? A Case With Spectrum-Based Fault Localization, Tien-Duy B. Le, Ferdian Thung, David Lo
Research Collection School Of Computing and Information Systems
Spectrum-based fault localization refers to the process of identifying program units that are buggy from two sets of execution traces: normal traces and faulty traces. These approaches use statistical formulas to measure the suspiciousness of program units based on the execution traces. There have been many spectrum-based fault localization approaches proposing various formulas in the literature. Two of the best performing and well-known ones are Tarantula and Ochiai. Recently, Xie et al. find that theoretically, under certain assumptions, two families of spectrum-based fault localization formulas outperform all other formulas including those of Tarantula and Ochiai. In this work, we empirically …
A Highly Efficient Rfid Distance Bounding Protocol Without Real-Time Prf Evaluation, Yunhui Zhuang, Anjia Yang, Duncan S. Wong, Guomin Yang, Qi Xie
A Highly Efficient Rfid Distance Bounding Protocol Without Real-Time Prf Evaluation, Yunhui Zhuang, Anjia Yang, Duncan S. Wong, Guomin Yang, Qi Xie
Research Collection School Of Computing and Information Systems
There is a common situation among current distance bounding protocols in the literature: they set the fast bit exchange phase after a slow phase in which the nonces for both the reader and a tag are exchanged. The output computed in the slow phase is acting as the responses in the subsequent fast phase. Due to the calculation constrained RFID environment of being lightweight and efficient, it is the important objective of building the protocol which can have fewer number of message flows and less number of cryptographic operations in real time performed by the tag. In this paper, we …
Focus: A Usable & Effective Approach To Oled Display Power Management, Kiat Wee Tan, Tadashi Okoshi, Archan Misra, Rajesh Krishna Balan
Focus: A Usable & Effective Approach To Oled Display Power Management, Kiat Wee Tan, Tadashi Okoshi, Archan Misra, Rajesh Krishna Balan
Research Collection School Of Computing and Information Systems
In this paper, we present the design and implementation of Focus, a system for effectively and efficiently reducing power consumption of OLED displays on smartphones. These displays, while becoming exceedingly common still consume significant power. The key idea of Focus is that we use the notion of saliency to save display power by dimming portions of the applications that are less important to the user. We envision Focus being especially useful during low battery situations when usability is less important than power savings. We tested Focus using 15 applications running on a Samsung Galaxy S III and show that it …
Inferring Ongoing Human Activities Based On Recurrent Self-Organizing Map Trajectory, Qianru Sun, Hong Liu
Inferring Ongoing Human Activities Based On Recurrent Self-Organizing Map Trajectory, Qianru Sun, Hong Liu
Research Collection School Of Computing and Information Systems
Automatically inferring ongoing activities is to enable the early recognition of unfinished activities, which is quite meaningful for applications, such as online human-machine interaction and security monitoring. State-of-the-art methods use the spatiotemporal interest point (STIP) based features as the low-level video description to handle complex scenes. While the existing problem is that typical bag-of-visual words (BoVW) focuses on the statistical distribution of features but ignores the inherent contexts in activity sequences, resulting in low discrimination when directly dealing with limited observations. To solve this problem, the Recurrent Self-Organizing Map (RSOM), which was designed to process sequential data, is novelly adopted …
The Impact Of Ineffective Internal Control On The Value Relevance Of Accounting Information, Nan Hu, Baolei Qi, Gaoliang Tian, Lee Yao, Zhen Zeng
The Impact Of Ineffective Internal Control On The Value Relevance Of Accounting Information, Nan Hu, Baolei Qi, Gaoliang Tian, Lee Yao, Zhen Zeng
Research Collection School Of Computing and Information Systems
This paper investigates the value relevance of accounting information in the presence of ineffective internal control (IIC). Based on Ohlson's valuation model, this paper first documents that IIC can directly affect a firm's market value after control cost of capital, corporate governance, and other, value-relevant variables. Second, this paper finds that the value relevance of earnings and book value in determining a firm's market value are significantly reduced. Collectively, the results of this paper indicate that the effectiveness of internal controls can directly affect a firm's market value and the value relevance of accounting information.
Generative Models For Item Adoptions Using Social Correlation, Freddy Chong Tat Chua, Hady Wirawan Lauw, Ee Peng Lim
Generative Models For Item Adoptions Using Social Correlation, Freddy Chong Tat Chua, Hady Wirawan Lauw, Ee Peng Lim
Research Collection School Of Computing and Information Systems
Users face many choices on the Web when it comes to choosing which product to buy, which video to watch, etc. In making adoption decisions, users rely not only on their own preferences, but also on friends. We call the latter social correlation which may be caused by the homophily and social influence effects. In this paper, we focus on modeling social correlation on users’ item adoptions. Given a user-user social graph and an item-user adoption graph, our research seeks to answer the following questions: whether the items adopted by a user correlate to items adopted by her friends, and …
An Analysis Of Post-Selection In Automatic Configuration, Zhi Yuan, Thomas St\303\274tzle, Marco A. Montes De Oca, Hoong Chuin Lau, Mauro Birattari
An Analysis Of Post-Selection In Automatic Configuration, Zhi Yuan, Thomas St\303\274tzle, Marco A. Montes De Oca, Hoong Chuin Lau, Mauro Birattari
Research Collection School Of Computing and Information Systems
Automated algorithm configuration methods have proven to be instrumental in deriving high-performing algorithms and such methods are increasingly often used to configure evolutionary algorithms. One major challenge in devising automatic algorithm configuration techniques is to handle the inherent stochasticity in the configuration problems. This article analyses a post-selection mechanism that can also be used for this task. The central idea of the post-selection mechanism is to generate in a first phase a set of high-quality candidate algorithm configurations and then to select in a second phase from this candidate set the (statistically) best configuration. Our analysis of this mechanism indicates …
Securearray: Improving Wifi Security With Fine-Grained Physical-Layer, Jie Xiong, Kyle Jamieson
Securearray: Improving Wifi Security With Fine-Grained Physical-Layer, Jie Xiong, Kyle Jamieson
Research Collection School Of Computing and Information Systems
Despite the important role that WiFi networks play in home and enterprise networks they are relatively weak from a security standpoint. With easily available directional antennas, attackers can be physically located off-site, yet compromise WiFi security protocols such as WEP, WPA, and even to some extent WPA2 through a range of exploits specific to those protocols, or simply by running dictionary and human-factors attacks on users' poorly-chosen passwords. This presents a security risk to the entire home or enterprise network. To mitigate this ongoing problem, we propose SecureArray, a system designed to operate alongside existing wireless security protocols, adding defense …
Learning Spatio-Temporal Co-Occurrence Correlograms For Efficient Human Action Classification, Qianru Sun, Hong Liu
Learning Spatio-Temporal Co-Occurrence Correlograms For Efficient Human Action Classification, Qianru Sun, Hong Liu
Research Collection School Of Computing and Information Systems
Spatio-temporal interest point (STIP) based features show great promises in human action analysis with high efficiency and robustness. However, they typically focus on bag-of-visual words (BoVW), which omits any correlation among words and shows limited discrimination in real-world videos. In this paper, we propose a novel approach to add the spatio-temporal co-occurrence relationships of visual words to BoVW for a richer representation. Rather than assigning a particular scale on videos, we adopt the normalized google-like distance (NGLD) to measure the words' co-occurrence semantics, which grasps the videos' structure information in a statistical way. All pairwise distances in spatial and temporal …
Driverguard: Virtualization Based Fine-Grained Protection On I/O Flows, Yueqiang Cheng, Xuhua Ding, Robert H. Deng
Driverguard: Virtualization Based Fine-Grained Protection On I/O Flows, Yueqiang Cheng, Xuhua Ding, Robert H. Deng
Research Collection School Of Computing and Information Systems
Most commodity peripheral devices and their drivers are geared to achieve high performance with security functions being opted out. The absence of strong security measures invites attacks on the I/O data and consequently posts threats to those services feeding on them, such as fingerprint-based biometric authentication. In this article, we present a generic solution called DriverGuard, which dynamically protects the secrecy of I/O flows such that the I/O data are not exposed to the malicious kernel. Our design leverages a composite of cryptographic and virtualization techniques to achieve fine-grained protection without using any extra devices and modifications on user applications. …
Conferencesense: Monitoring Of Public Events Using Phone Sensors, Vigneshwaran Subbaraju, Amit Kumar, Vikrant Nandakumar, Sonali Batra, Salil Kanhere, Pradipta De, Vinayak Naik, Dipanjan Chakraborty, Archan Misra
Conferencesense: Monitoring Of Public Events Using Phone Sensors, Vigneshwaran Subbaraju, Amit Kumar, Vikrant Nandakumar, Sonali Batra, Salil Kanhere, Pradipta De, Vinayak Naik, Dipanjan Chakraborty, Archan Misra
Research Collection School Of Computing and Information Systems
We explore the use of a participatory sensing paradigm, where data generated from individual smartphones is used to extract and understand collective properties of temporary public gatherings and events (e.g., concerts & conferences). We focus on the use of this paradigm at a technical conference, and describe the design, implementation and deployment of ConferenceSense, an application that uses multiple sensor and human-generated inputs from attendees' smartphones to infer context, such as the start time of a session or the degree of interaction during a tea break. Based on data collected from multiple attendees at a 3-day conference, we explore how …
Innovating Services In Science And Technology Parks, Arcot Desai Narasimhalu
Innovating Services In Science And Technology Parks, Arcot Desai Narasimhalu
Research Collection School Of Computing and Information Systems
Science and Technology Parks are in the business of providing services to their tenants, a mix of large companies, Small and Medium Enterprises and startups. The service needs of each of these types of companies will be different. The quality of services can be improved by understanding the needs of the tenants both, prior to building the Science and Technology Parks as well as on an ongoing basis. This paper introduces the CUGAR model for Science and Technology Parks as well as Service Innovation Design framework. It then proceeds to discuss how the Service Innovation framework could be applied to …