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Articles 150541 - 150570 of 294415
Full-Text Articles in Physical Sciences and Mathematics
Condensing Class Diagrams With Minimal Manual Labeling Cost, Xinli Yang, David Lo, Xin Xia, Jianling Sun
Condensing Class Diagrams With Minimal Manual Labeling Cost, Xinli Yang, David Lo, Xin Xia, Jianling Sun
Research Collection School Of Computing and Information Systems
Traditionally, to better understand the design of a project, developers can reconstruct a class diagram from source code using a reverse engineering technique. However, the raw diagram is often perplexing because there are too many classes in it. Condensing the reverse engineered class diagram into a compact class diagram which contains only the important classes would enhance the understandability of the corresponding project. A number of recent works have proposed several supervised machine learning solutions that can be used for condensing reverse engineered class diagrams given a set of classes that are manually labeled as important or not. However, a …
Collective Rumor Correction On The Death Hoax Of A Political Figure In Social Media, Alton Y. K. Chua, Sin-Mei Cheah, Dion Hoe-Lian Goh, Ee-Peng Lim
Collective Rumor Correction On The Death Hoax Of A Political Figure In Social Media, Alton Y. K. Chua, Sin-Mei Cheah, Dion Hoe-Lian Goh, Ee-Peng Lim
Research Collection School Of Computing and Information Systems
Conversations on social media networks that discuss a crisis incident as it unfolds have become a norm in recent years. Left to its own devices, such conversations could quickly degenerate into rumor mills. Little research has thus far examined the correction of rumors on social media. Using the third person effect as a theoretical underpinning, we developed a model of collective rumor correction on social media based on an incident surrounding the death hoax of a political figure. Tweets from Twitter were collected and analyzed for the period when a spike of circulating rumors speculating the demise of Singapore's first …
How Long Will This Live? Discovering The Lifespans Of Software Engineering Ideas, Subhajit Datta, Santonu Sarkar, A. S. M Sajeev
How Long Will This Live? Discovering The Lifespans Of Software Engineering Ideas, Subhajit Datta, Santonu Sarkar, A. S. M Sajeev
Research Collection School Of Computing and Information Systems
We all want to be associated with long lasting ideas; as originators, or at least, expositors. For a tyro researcher or a seasoned veteran, knowing how long an idea will remain interesting in the community is critical in choosing and pursuing research threads. In the physical sciences, the notion of half-life is often evoked to quantify decaying intensity. In this paper, we study a corpus of 19,000+ papers written by 21,000+ authors across 16 software engineering publication venues from 1975 to 2010, to empirically determine the half-life of software engineering research topics. In the absence of any consistent and well-accepted …
Z &Gsim; 7 Galaxies With Red Spitzer/Irac [3.6]–[4.5] Colors In The Full Candels Data Set : The Brightest-Known Galaxies At Z ∼ 7–9 And A Probable Spectroscopic Confirmation At Z = 7.48., G. W. Roberts-Borsani, R. J. Bouwens, P. A. Oesch, I. Labbe, R. Smit, G. D. Illingworth, P. G. Van Dokkum, B. Holden, V. Gonzalez, M. Stefanon, Benne W. Holwerda, S. M. Wilkins
Z &Gsim; 7 Galaxies With Red Spitzer/Irac [3.6]–[4.5] Colors In The Full Candels Data Set : The Brightest-Known Galaxies At Z ∼ 7–9 And A Probable Spectroscopic Confirmation At Z = 7.48., G. W. Roberts-Borsani, R. J. Bouwens, P. A. Oesch, I. Labbe, R. Smit, G. D. Illingworth, P. G. Van Dokkum, B. Holden, V. Gonzalez, M. Stefanon, Benne W. Holwerda, S. M. Wilkins
Faculty and Staff Scholarship
We identify four unusually bright (H160,AB < 25.5) galaxies from Hubble Space Telescope (HST) and Spitzer CANDELS data with probable redshifts z ∼ 7–9. These identifications include the brightest-known galaxies to date at z 7.5. As Y-band observations are not available over the full CANDELS program to perform a standard Lyman-break selection of z > 7 galaxies, we employ an alternate strategy using deep Spitzer/IRAC data. We identify z ∼ 7.1–9.1 galaxies by selecting z 6 galaxies from the HST CANDELS data that show quite red IRAC [3.6]−[4.5] colors, indicating strong [O III]+Hβ lines in the 4.5 μm band. This selection strategy was validated using a modest sample for which we have deep Y-band coverage, and subsequently used to select the brightest z 7 sources. Applying the IRAC criteria to all HST-selected optical dropout galaxies over the full ∼900 arcmin2 of the CANDELS survey revealed four unusually bright …
Byoc: Build Your Own Cluster, Part Ii - Installation, Nathan R. Vance, Michael L. Poublon, William F. Polik
Byoc: Build Your Own Cluster, Part Ii - Installation, Nathan R. Vance, Michael L. Poublon, William F. Polik
Faculty Publications
No abstract provided.
Analysis Tools And Defense Mechanisms For Dos Hash Attacks, Pratick Henry Bakhtiani
Analysis Tools And Defense Mechanisms For Dos Hash Attacks, Pratick Henry Bakhtiani
Theses and Dissertations
This thesis focuses on creating tools for the gathering and management of data for analyzing Denial of Service attacks on the advertisement-based synchronization mechanism used in the DirectDemocracyP2P application. In this report we present two tools that were developed as part of this eort: AttackerClient and Decoding and Distribution. These tools are used to perform the attack and analyze the captured network packets of the attack data, storing them in a database. The Decoding and Distribution tool can distinguish between dierent types of messages. It can also assemble fragmented messages from UDP chunks. The created tools help to manage a …
The Growth And Ecology Of Upper Cambrian Microbialite Biostromes From The Notch Peak Formation In Utah, Ken P. Coulson
The Growth And Ecology Of Upper Cambrian Microbialite Biostromes From The Notch Peak Formation In Utah, Ken P. Coulson
Loma Linda University Electronic Theses, Dissertations & Projects
Exposure of carbonate rocks within the uplifted mountains of southwestern Utah presents a unique opportunity to study the growth, morphology and ecology of two upper Cambrian microbialite reefs located within the Hellnmaria Member of the Notch Peak Formation. The first reef contains meter-length, strongly elongate microbialites that grew in a deep, subtidal marine environment. These elongate microbialites formed as a result of coalescence of round ‘algal’ heads, a process known to produce compound microbialite structures in shallow water, but seldom explored as a key factor in the elongation of deep, subtidal forms that grew in ancient environments. The second reef …
The Frustrations And Benefits Of Mobile Device Usage In The Home When Co-Present With Family Members, Erick Oduor, Carman Neustaedter, William Odom, Anthony Tang, Niala Moallem, Melanie Tory, Pourang Irani
The Frustrations And Benefits Of Mobile Device Usage In The Home When Co-Present With Family Members, Erick Oduor, Carman Neustaedter, William Odom, Anthony Tang, Niala Moallem, Melanie Tory, Pourang Irani
Research Collection School Of Computing and Information Systems
Mobile devices have begun to raise questions around the potential for overuse when in the presence of family or friends. As such, we conducted a diary and interview study to understand how people use mobile devices in the presence of others at home, and how this shapes their behavior and household dynamics. Results show that family members become frustrated when others do non-urgent activities on their phones in the presence of others. Yet people often guess at what others are doing because of the personal nature of mobile devices. In some cases, people developed strategies to provide a greater sense …
Finding The Shortest Path In Stochastic Vehicle Routing: A Cardinality Minimization Approach, Zhiguang Cao, Hongliang Guo, Jie Zhang, Dusit Niyato, Ulrich Fastenrath Fastenrath
Finding The Shortest Path In Stochastic Vehicle Routing: A Cardinality Minimization Approach, Zhiguang Cao, Hongliang Guo, Jie Zhang, Dusit Niyato, Ulrich Fastenrath Fastenrath
Research Collection School Of Computing and Information Systems
This paper aims at solving the stochastic shortest path problem in vehicle routing, the objective of which is to determine an optimal path that maximizes the probability of arriving at the destination before a given deadline. To solve this problem, we propose a data-driven approach, which directly explores the big data generated in traffic. Specifically, we first reformulate the original shortest path problem as a cardinality minimization problem directly based on samples of travel time on each road link, which can be obtained from the GPS trajectory of vehicles. Then, we apply an l(1)-norm minimization technique and its variants to …
Recipient Revocable Identity-Based Broadcast Encryption: How To Revoke Some Recipients In Ibbe Without Knowledge Of The Plaintext, Willy Susilo, Guomin Yang, Rongmao Chen, Yi Mu, Fuchun Guo, Yang-Wai Chow
Recipient Revocable Identity-Based Broadcast Encryption: How To Revoke Some Recipients In Ibbe Without Knowledge Of The Plaintext, Willy Susilo, Guomin Yang, Rongmao Chen, Yi Mu, Fuchun Guo, Yang-Wai Chow
Research Collection School Of Computing and Information Systems
In this paper, we present the notion of recipient-revocable identity-based broadcast encryption scheme. In this notion, a content provider will produce encrypted content and send them to a third party (which is a broadcaster). This third party will be able to revoke some identities from the ciphertext. We present a security model to capture these requirements, as well as a concrete construction. The ciphertext consists of k + 3 group elements, assuming that the maximum number of revocation identities is k. That is, the ciphertext size is linear in the maximal size of R, where R is the revocation identity …
Serendipity-Driven Celebrity Video Hyperlinking, Shujun Yang, Lei Pang, Chong-Wah Ngo, Benoit Huet
Serendipity-Driven Celebrity Video Hyperlinking, Shujun Yang, Lei Pang, Chong-Wah Ngo, Benoit Huet
Research Collection School Of Computing and Information Systems
This demo showcases the utility of video hyperlinks with celebrities as the link anchors and their social circles as targets, aiming to help users quickly explore the aboutness of a celebrity by link traversal. Through content analysis, our system embeds hyperlinks into videos such that users can click-and-jump between celebrity faces in different videos to get-to-know their social circles. One peculiar feature is the ability of the system in providing links that maximize users' chance encounter, or serendipitous experience, beyond information need. Our system is enabled by two key components, name-face association and diversity-based ranking, for the aboutness and serendipity …
Video Modeling And Learning On Riemannian Manifold For Emotion Recognition In The Wild, Mengyi Liu, Ruiping Wang, Shaoxin Li, Zhiwu Huang, Shiguang Shan, Xilin Chen
Video Modeling And Learning On Riemannian Manifold For Emotion Recognition In The Wild, Mengyi Liu, Ruiping Wang, Shaoxin Li, Zhiwu Huang, Shiguang Shan, Xilin Chen
Research Collection School Of Computing and Information Systems
In this paper, we present the method for our submission to the emotion recognition in the wild challenge (EmotiW). The challenge is to automatically classify the emotions acted by human subjects in video clips under real-world environment. In our method, each video clip can be represented by three types of image set models (i.e. linear subspace, covariance matrix, and Gaussian distribution) respectively, which can all be viewed as points residing on some Riemannian manifolds. Then different Riemannian kernels are employed on these set models correspondingly for similarity/ distance measurement. For classification, three types of classifiers, i.e. kernel SVM, logistic regression, …
(Deterministic) Hierarchical Identity-Based Encryption From Learning With Rounding Over Small Modulus, Fuyang Fang, Bao Li, Xianhui Lu, Yamin Liu, Dingding Jia, Haiyang Xue
(Deterministic) Hierarchical Identity-Based Encryption From Learning With Rounding Over Small Modulus, Fuyang Fang, Bao Li, Xianhui Lu, Yamin Liu, Dingding Jia, Haiyang Xue
Research Collection School Of Computing and Information Systems
In this paper, we propose a hierarchical identity-based encryption (HIBE) scheme in the random oracle (RO) model based on the learning with rounding (LWR) problem over small modulus $q$. Compared with the previous HIBE schemes based on the learning with errors (LWE) problem, the ciphertext expansion ratio of our scheme can be decreased to 1/2. Then, we utilize the HIBE scheme to construct a deterministic hierarchical identity-based encryption (D-HIBE) scheme based on the LWR problem over small modulus. Finally, with the technique of binary tree encryption (BTE) we can construct HIBE and D-HIBE schemes in the standard model based on …
Hci Testing In Laboratory Or Field Settings, Chuan-Hoo Tan, Austin Silva, Rich Lee, Kanliang Wang, Fiona Fui-Hoon Nah
Hci Testing In Laboratory Or Field Settings, Chuan-Hoo Tan, Austin Silva, Rich Lee, Kanliang Wang, Fiona Fui-Hoon Nah
Research Collection School Of Computing and Information Systems
This paper presents perspectives from both academia and practice on how an HCI testing is to be conducted and the deliberations that go into the testing. HCI testing can be conducted in closed-door laboratory or in a field setting. While there is an increased interest in field testing of an HCI artifact, there is always an enduring concern over how to administer a field testing given that the testers will have less control over the course of testing. In this paper, we cover HCI testing deliberation as well as the operational issues of field testing, and conclude the paper with …
Patient Engagement In The Medical Facility Waiting Room Using Gamified Healthcare Information Delivery, Raheel Hassan, Nathan W. Twyman, Fiona Fui-Hoon Nah, Keng Siau
Patient Engagement In The Medical Facility Waiting Room Using Gamified Healthcare Information Delivery, Raheel Hassan, Nathan W. Twyman, Fiona Fui-Hoon Nah, Keng Siau
Research Collection School Of Computing and Information Systems
This study explores the proposition that medical facility waiting rooms are an opportune setting to engage with and educate patients while they are waiting for care. In collaboration with emergency department (ED) personnel, we developed ER Hero, a tablet-based application for waiting rooms that introduces patients to ED professionals and operations through mini-games and story-like interaction. We evaluated this prototype with human participants to determine how well it performed when compared to paper-based information disclosure presenting the same information. Participants using the application exhibited increased ED knowledge, decreased nervousness, and increased interest. The gamified application outperformed a paper-based approach on …
Smart Living For Elderly: Design And Human-Computer Interaction Considerations, Ranjana Sharma, Fiona Fui-Hoon Nah, Kavya Sharma, Teja S. Katta, Natalie Pang, Alvin Yong
Smart Living For Elderly: Design And Human-Computer Interaction Considerations, Ranjana Sharma, Fiona Fui-Hoon Nah, Kavya Sharma, Teja S. Katta, Natalie Pang, Alvin Yong
Research Collection School Of Computing and Information Systems
To address aging challenges, we examine the concept of smart living and its applications for the elderly. Smart living refers to improving quality of life by transforming environments to become more intelligent and adaptable to users. In this paper, we discuss how smart living applications can help to address the needs of the elderly, as well as the design and human-computer interaction considerations for such applications.
Modeling Fantasy Football Quarterbacks, Kyle Zeberlein, Myles Wallin
Modeling Fantasy Football Quarterbacks, Kyle Zeberlein, Myles Wallin
Celebration of Learning
Fantasy football is a way to score NFL players based off of their statistics in particular categories. We have created formulas for modeling every quarterback’s fantasy football points per game in the 2015-2016 season. Our model is partitioned into four sub-models depending on the length of the quarterback’s career in the NFL. We have developed a weighted model based on previous years’ performance of the quarterback, of the defense, and of the quarterback against the defense using data from the NFL. We compare our projections for the season against Yahoo’s projections for the season.
Medieval Cosmology And Middle-Earth: A Lewisian Walk Under Tolkienian Skies, Kristine Larsen
Medieval Cosmology And Middle-Earth: A Lewisian Walk Under Tolkienian Skies, Kristine Larsen
Journal of Tolkien Research
A nearly identical version of this paper was delivered at the 30th Annual International Conference on Medievalism in Pittsburgh, Pennsylvania on October 2, 2015, as part of a session on the Inklings and Medievalism.
Termination, Correctness And Relative Correctness, Nafi Diallo
Termination, Correctness And Relative Correctness, Nafi Diallo
Dissertations
Over the last decade, research in verification and formal methods has been the subject of increased interest with the need of more secure and dependable software. At the heart of software dependability is the concept of software fault, defined in the literature as the adjudged or hypothesized cause of an error. This definition, which lacks precision, presents at least two challenges with regard to using formal methods: (1) Adjudging and hypothesizing are highly subjective human endeavors; (2) The concept of error is itself insufficiently defined, since it depends on a detailed characterization of correct system states at each stage of …
Studies On Purification And Functionalization Of Carbon Nanotubes And Their Aqueous Phase Behavior, Zheqiong Wu
Studies On Purification And Functionalization Of Carbon Nanotubes And Their Aqueous Phase Behavior, Zheqiong Wu
Dissertations
Carbon nanotubes (CNTs) are known to have unique mechanical, thermal and electrical properties which make them attractive for a wide range of applications ranging from batteries to sensors. CNTs are rolled up graphene sheets where the single-walled CNTs (SWCNTs) and multi-walled CNTs (MWCNTs) are classified according to the number of concentric rings. In this dissertation, the focus is on several different aspects of MWCNTs. These include purification, functionalization and colloidal behavior.
MWCNTs are insoluble in solvents and therefore some degree of functionalization is required prior to their real-world applications. Oxidation debris is generated during carboxylation which is usually the first …
Mediating Chance Encounters Through Opportunistic Social Matching, Julia M. Mayer
Mediating Chance Encounters Through Opportunistic Social Matching, Julia M. Mayer
Dissertations
Chance encounters, the unintended meeting between people unfamiliar with each other, serve as an important social lubricant helping people to create new social ties, such as making new friends or finding an activity, study or collaboration partner. Unfortunately, social barriers often prevent chance encounters in environments where people do not know each other and people have to rely on serendipity to meet or be introduced to interesting people around them. Little is known about the underlying dynamics of chance encounters and how systems could utilize contextual data to mediate chance encounters. This dissertation addresses this gap in research literature by …
Reusing Ambient Light To Recognize Hand Gestures, Mahina-Diana A. Kaholokula
Reusing Ambient Light To Recognize Hand Gestures, Mahina-Diana A. Kaholokula
Dartmouth College Undergraduate Theses
In this paper, we explore the feasibility of reusing ambient light to recognize human gestures. We present GestureLite, a system that provides hand gesture detection and classification using the pre-existing light in a room. We observe that in an environment with a reasonably consistent lighting scheme, a given gesture will block some light rays and leave others unobstructed, resulting in the user casting a unique shadow pattern for that movement. GestureLite captures these unique shadow patterns using a small array of light sensors. Using standard machine learning techniques, GestureLite can learn these patterns and recognize new instances of specific gestures …
Nutrition Buddy: Enabling Behavior Change Through Wearables, Recommendations, And Digital Avatars, Daniel J. Chen
Nutrition Buddy: Enabling Behavior Change Through Wearables, Recommendations, And Digital Avatars, Daniel J. Chen
Dartmouth College Undergraduate Theses
In recent years, significant progress has been made in health technology through advancements in mobile technology, wearable computing, and connected devices. These advancements have created lightweight or even automated experiences for users in vital aspects of health such as exercise and sleep tracking. Despite these advancements, one area of health, nutrition, remains stifled by cumbersome user interaction. We present Nutrition Buddy, a novel approach to nutrition tracking which utilizes a simplified data model that allows for lightweight interactions, effective wearable technology, and relevant recommendations provided by a digital nutritionist "buddy" to facilitate behavior change.
The Hydromagnetic Structure Of The Polar Cap And Its Interaction With The Solar Wind, Kevin D. Urban
The Hydromagnetic Structure Of The Polar Cap And Its Interaction With The Solar Wind, Kevin D. Urban
Dissertations
At this time it is uncertain as to how and to what extent ultra-low frequency (ULF) structures in the solar wind (periodicities ranging between several seconds to several hours) impact the coupled ionosphere-thermosphere-magnetosphere (ITM) system, especially in the high-latitude open flux region, where these structures can directly drive polar cap phenomena (e.g., via the direct injection of hydromagnetic energy along open field lines). First, a historical overview of open and closed models of the magnetosphere is provided, which develops the motivations and concepts associated with the expanding/contracting polar cap (ECPC) model that prevails today. In the ECPC model, the open …
Delegation Of Irrigation Representatives From Argentina Tour The Uwrl, Utah Water Research Laboratory
Delegation Of Irrigation Representatives From Argentina Tour The Uwrl, Utah Water Research Laboratory
News
A delegation from Argentina that included representatives working in irrigation and water resources policy and management in the Mendoza province visited the Utah Water Research Laboratory on May 31, 2016. The visitors were part of a tour arranged by the US Department of State’s International Visitor Leadership Program and the Utah Council for Citizen Diplomacy (UCCD) focusing on water resources and climate change. UWRL director, Mac McKee, led the group of four Argentinian dignitaries, two translators, and their USU host, associate professor Dr. Neil Allen on a tour of the facility.
Semi Supervised Weighted Maximum Variance Dimensionality Reduction, Pranitha Surya Andalam
Semi Supervised Weighted Maximum Variance Dimensionality Reduction, Pranitha Surya Andalam
Theses
In the recent years, we have huge amounts of data which we want to classify with minimal human intervention. Only few features from the data that is available might be useful in some scenarios. In those scenarios, the dimensionality reduction methods play a major role for extracting useful features. The two parameter weighted maximum variance (2P-WMV) is a generalized dimensionality reduction method of which principal component analysis (PCA) and maximum margin criterion (MMC) are special cases.. In this paper, we have extended the 2P-WMV approach from our previous work to a semi-supervised version. The objective of this work is specially …
Data Analytics With Mapreduce In Apache Spark And Hadoop Systems, Zongxuan Du
Data Analytics With Mapreduce In Apache Spark And Hadoop Systems, Zongxuan Du
Theses
MapReduce comes from a traditional problem solving method: separating a big problem and solving each small parts. With the target of computing larger dataset in more efficient and cheaper way, this is implement into a programming mode to deal with massive quantity of data. The users get a map function and use it to abstract dataset into key / value logical pair and then use a reduce function to group all value with the same key. With this mode, task can be automatic spread the job into clusters grouped by lots of normal computers. MapReduce program can be easily implemented …
Uusing The Kdj As A Trading Strategy On Biotech Companies, Shijie Zha
Uusing The Kdj As A Trading Strategy On Biotech Companies, Shijie Zha
Theses
Mean Reversion is the most commonly used model in quantitative trading. This model is associated with several factors, like ma5 and ma10 line. These factors are the most significant in stock markets. However, the disadvantages of this model are lag and inaccuracy.
In this research, we get the historical and current stock data by web crawler, analyze the quantitative data and build a new model involved with the KDJ. Taking biotech companies marketed in the United States and B-share marketed in China as the research subjects, the result shows increased profits compared with the Mean Reversion model. It also shows …
Radiative Properties Of Silicon Related Materials, Scott Sanowitz
Radiative Properties Of Silicon Related Materials, Scott Sanowitz
Theses
The objective of this thesis is to study the optical properties of silicon, as a function of temperature, in the infrared range of wavelengths. The wavelength range, considered in this study, is between 1 micron and 20 microns. The temperature range observed is from 50 degrees Celsius to 1000 degrees Celsius. Varying wafer thickness and doping are taken into account. The thickness of the native oxide, silicon dioxide, must be taken into account as well as its orientation (front side versus back side). The effect of layering wafers one onto another is investigated. It is shown that all these parameters …
Applications Of Satellite Geodesy In Environmental And Climate Change, Qian Yang
Applications Of Satellite Geodesy In Environmental And Climate Change, Qian Yang
USF Tampa Graduate Theses and Dissertations
Satellite geodesy plays an important role in earth observation. This dissertation presents three applications of satellite geodesy in environmental and climate change. Three satellite geodesy techniques are used: high-precision Global Positioning System (GPS), the Gravity Recovery and Climate Experiment (GRACE) and Interferometric Synthetic Aperture Radar (InSAR). In the first study, I use coastal uplift observed by GPS to study the annual changes in mass loss of the Greenland ice sheet. The data show both spatial and temporal variations of coastal ice mass loss and suggest that a combination of warm atmospheric and oceanic condition drove these variations. In the second …