Physical Sciences and Mathematics | Open Access Articles

Lecture: Intro To Data Science - Ml 4 - Week Twelve, Grant Long, Nyc Tech-In-Residence Corps

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Lecture for the course "CSC 59970: Intro to Data Science" (Week Twelve) delivered at the City College of New York in Fall 2018 by Grant Long as part of the Tech-in-Residence Corps program.

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Lecture: Intro To Data Science - Ml 3 - Week Eleven, Grant Long, Nyc Tech-In-Residence Corps

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Lecture for the course "CSC 59970: Intro to Data Science" (Week Eleven) delivered at the City College of New York in Fall 2018 by Grant Long as part of the Tech-in-Residence Corps program.

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Lecture: Intro To Data Science - Ml 2 - Week Ten, Grant Long, Nyc Tech-In-Residence Corps

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Lecture for the course "CSC 59970: Intro to Data Science" (Week Ten) delivered at the City College of New York in Fall 2018 by Grant Long as part of the Tech-in-Residence Corps program.

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Homework 1: Intro To Data Science (Week One), Grant Long, Nyc Tech-In-Residence

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Homework assignment for the course "CSC 59970: Intro to Data Science" (Week One) delivered at the City College of New York in Fall 2018 by Grant Long as part of the Tech-in-Residence Corps program.

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Intro To Data Science - Course Intro (Week One), Grant Long, Nyc Tech-In-Residence

Open Educational Resources

Lecture for the course "CSC 59970: Intro to Data Science" (Week One) delivered at the City College of New York in Fall 2018 by Grant Long as part of the Tech-in-Residence Corps program.

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Intro To Data Science - Data Exploration 2 (Week Three), Grant Long, Nyc Tech-In-Residence Corps

Open Educational Resources

Lecture for the course "CSC 59970: Intro to Data Science" (Week Three) delivered at the City College of New York in Fall 2018 by Grant Long as part of the Tech-in-Residence Corps program.

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Homework 2: Intro To Data Science ( Week Two), Grant Long, Nyc Tech-In-Residence

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Homework assignment for the course "CSC 59970: Intro to Data Science" (Week Two) delivered at the City College of New York in Fall 2018 by Grant Long as part of the Tech-in-Residence Corps program.

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Intro To Data Science - Guest Lecture On Deep Learning (Week Thirteen), Grant Long, Nyc Tech-In-Residence Corps

Open Educational Resources

Lecture for the course "CSC 59970: Intro to Data Science" (Week Thirteen) delivered at the City College of New York in Fall 2018 by Grant Long as part of the Tech-in-Residence Corps program.

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Intro To Data Science - Ml 1 (Week Nine), Grant Long, Nyc Tech-In-Residence Corps

Open Educational Resources

Lecture for the course "CSC 59970: Intro to Data Science" (Week Nine) delivered at the City College of New York in Fall 2018 by Grant Long as part of the Tech-in-Residence Corps program.

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Homework 5: Intro To Data Science (Week Five), Grant Long, Nyc Tech-In-Residence Corps

Open Educational Resources

Homework Assignment for the course "CSC 59970: Intro to Data Science" (Week Five) delivered at the City College of New York in Fall 2018 by Grant Long as part of the Tech-in-Residence Corps program.

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Homework 7: Intro To Data Science (Week Eleven), Grant Long, Nyc Tech-In-Residence Corps

Open Educational Resources

Homework Assignment for the course "CSC 59970: Intro to Data Science" (Week Eleven) delivered at the City College of New York in Fall 2018 by Grant Long as part of the Tech-in-Residence Corps program.

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Test: Intro To Data Science - Midterm Review, Grant Long, Nyc Tech-In-Residence Corps

Open Educational Resources

Test for the course "CSC 59970: Intro to Data Science" (Midterm Review) delivered at the City College of New York in Fall 2018 by Grant Long as part of the Tech-in-Residence Corps program.

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2018 October - Tennessee Monthly Climate Report, Tennessee Climate Office, East Tennessee State University

Tennessee Climate Office Monthly Report

No abstract provided.

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Osl Dating Of The Tolleston Beach At Indiana Dunes National Lakeshore And Its Implications For Interpreting The Archaeological Record, Malgorzata Mahoney

Department of Earth and Atmospheric Sciences: Dissertations, Theses, and Student Research

The puzzling scarcity of archaeological sites on the Tolleston Beach, the most lakeward shoreline complex at Indiana Dunes National Lakeshore, prompted an investigation into the development of these parabolic dunes in an attempt to determine whether the distribution of known archaeological sites is governed by ancient human behaviors, or influenced by its dune setting which can affect site preservation and discoverability. In order to accurately understand patterns of past human occupation, it is important to know the timing and extent of dune reactivation. Specifically, whether it was frequent enough to influence settlement patterns in the past, or if it was …

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Implementation Of Secure Dnp3 Architecture Of Scada System For Smart Grids, Uday Bhaskar Boyanapalli

Master of Science in Computer Science Theses

With the recent advances in the power grid system connecting to the internet, data sharing, and networking enables space for hackers to maliciously attack them based on their vulnerabilities. Vital stations in the smart grid are the generation, transmission, distribution, and customer substations are connected and controlled remotely by the network. Every substation is controlled by a Supervisory Control and Data Acquisition (SCADA) system which communicates on DNP3 protocol on Internet/IP which has many security vulnerabilities. This research will focus on Distributed Network Protocol (DNP3) communication which is used in the smart grid to communicate between the controller devices. We …

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Knowledge-Aware Multimodal Dialogue Systems, Lizi Liao, Yunshan Ma, Xiangnan He, Richang Huang, Tat-Seng Chua

Research Collection School Of Computing and Information Systems

By offering a natural way for information seeking, multimodal dialogue systems are attracting increasing attention in several domains such as retail, travel etc. However, most existing dialogue systems are limited to textual modality, which cannot be easily extended to capture the rich semantics in visual modality such as product images. For example, in fashion domain, the visual appearance of clothes and matching styles play a crucial role in understanding the user’s intention. Without considering these, the dialogue agent may fail to generate desirable responses for users. In this paper, we present a Knowledge-aware Multimodal Dialogue (KMD) model to address the …

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Knowledge-Aware Multimodal Dialogue Systems, Lizi Liao, Yunshan Ma, Xiangnan He, Richang Hong, Tat-Seng Chua

Research Collection School Of Computing and Information Systems

By offering a natural way for information seeking, multimodal dialogue systems are attracting increasing attention in several domains such as retail, travel etc. However, most existing dialogue systems are limited to textual modality, which cannot be easily extended to capture the rich semantics in visual modality such as product images. For example, in fashion domain, the visual appearance of clothes and matching styles play a crucial role in understanding the user's intention. Without considering these, the dialogue agent may fail to generate desirable responses for users. In this paper, we present a Knowledge-aware Multimodal Dialogue (KMD) model to address the …

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A Learning And Masking Approach To Secure Learning, Linh Nguyen, Sky Wang, Arunesh Sinha

Research Collection School Of Computing and Information Systems

Deep Neural Networks (DNNs) have been shown to be vulnerable against adversarial examples, which are data points cleverly constructed to fool the classifier. Such attacks can be devastating in practice, especially as DNNs are being applied to ever increasing critical tasks like image recognition in autonomous driving. In this paper, we introduce a new perspective on the problem. We do so by first defining robustness of a classifier to adversarial exploitation. Next, we show that the problem of adversarial example generation can be posed as learning problem. We also categorize attacks in literature into high and low perturbation attacks; well-known …

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Scaling-Up Stackelberg Security Games Applications Using Approximations, Arunesh Sinha, Aaron Schlenker, Donnabell Dmello, Milind Tambe

Research Collection School Of Computing and Information Systems

Stackelberg Security Games (SSGs) have been adopted widely for modeling adversarial interactions, wherein scalability of equilibrium computation is an important research problem. While prior research has made progress with regards to scalability, many real world problems cannot be solved satisfactorily yet as per current requirements; these include the deployed federal air marshals (FAMS) application and the threat screening (TSG) problem at airports. We initiate a principled study of approximations in zero-sum SSGs. Our contribution includes the following: (1) a unified model of SSGs called adversarial randomized allocation (ARA) games, (2) hardness of approximation for zero-sum ARA, as well as for …

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Sufat: An Analytics Tool For Gaining Insights From Student Feedback Comments, Siddhant Pyasi, Swapna Gottipati, Venky Shankararaman

Research Collection School Of Computing and Information Systems

Teacher evaluation is a vital element inimproving student learning outcomes. Course and instructor feedback given bystudents, provides insights that can help improve student learning outcomes andteaching quality. Teaching and course evaluation systems help to collectquantitative and qualitative feedback from students. Since manually analysingthe qualitative feedback is painstaking and a tedious process, usually, onlythe quantitative feedback is often used for evaluating the course and theinstructor. However, useful knowledge is hidden in the qualitative comments, inthe form of sentiments and suggestions that can provide valuable insights tohelp plan improvements in the course content and delivery. In order toefficiently gather, analyse and provide …

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Exploiting The Interdependency Of Land Use And Mobility For Urban Planning, Kasthuri Jayarajah, Andrew Tan, Archan Misra

Research Collection School Of Computing and Information Systems

Urban planners and economists alike have strong interest in understanding the inter-dependency of land use and people flow. The two-pronged problem entails systematic modeling and understanding of how land use impacts crowd flow to an area and in turn, how the influx of people to an area (or lack thereof) can influence the viability of business entities in that area. With cities becoming increasingly sensor-rich, for example, digitized payments for public transportation and constant trajectory tracking of buses and taxis, understanding and modelling crowd flows at the city scale, as well as, at finer granularity such as at the neighborhood …

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Inferring Trip Occupancies In The Rise Of Ride-Hailing Services, Meng-Fen Chiang, Ee-Peng Lim, Wang-Chien Lee, Tuan-Anh Hoang

Research Collection School Of Computing and Information Systems

The knowledge of all occupied and unoccupied trips made by self-employed drivers are essential for optimized vehicle dispatch by ride-hailing services (e.g., Didi Dache, Uber, Lyft, Grab, etc.). However, the occupancy status of vehicles is not always known to the service operators due to adoption of multiple ride-hailing apps. In this paper, we propose a novel framework, Learning to INfer Trips (LINT), to infer occupancy of car trips by exploring characteristics of observed occupied trips. Two main research steps, stop point classification and structural segmentation, are included in LINT. In the stop point classification step, we represent a vehicle trajectory …

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Prediction Of Relatedness In Stack Overflow: Deep Learning Vs. Svm: A Reproducibility Study, Bowen Xu, Amirreza Shirani, David Lo, Mohammad Amin Alipour

Research Collection School Of Computing and Information Systems

Background Xu et al. used a deep neural network (DNN) technique to classify the degree of relatedness between two knowledge units (question-answer threads) on Stack Overflow. More recently, extending Xu et al.'s work, Fu and Menzies proposed a simpler classification technique based on a fine-tuned support vector machine (SVM) that achieves similar performance but in a much shorter time. Thus, they suggested that researchers need to compare their sophisticated methods against simpler alternatives.Aim The aim of this work is to replicate the previous studies and further investigate the validity of Fu and Menzies' claim by evaluating the DNN- and SVM-based …

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Automating Intention Mining, Qiao Huang, Xin Xia, David Lo, Gail C. Murphy

Research Collection School Of Computing and Information Systems

Developers frequently discuss aspects of the systems they are developing online. The comments they post to discussions form a rich information source about the system. Intention mining, a process introduced by Di Sorbo et al., classifies sentences in developer discussions to enable further analysis. As one example of use, intention mining has been used to help build various recommenders for software developers. The technique introduced by Di Sorbo et al. to categorize sentences is based on linguistic patterns derived from two projects. The limited number of data sources used in this earlier work introduces questions about the comprehensiveness of intention …

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Revisiting Supervised And Unsupervised Models For Effort-Aware Just-In-Time Defect Prediction, Qiao Huang, Xin Xia, David Lo

Research Collection School Of Computing and Information Systems

Effort-aware just-in-time (JIT) defect prediction aims at finding more defective software changes with limited code inspection cost. Traditionally, supervised models have been used; however, they require sufficient labelled training data, which is difficult to obtain, especially for new projects. Recently, Yang et al. proposed an unsupervised model (i.e., LT) and applied it to projects with rich historical bug data. Interestingly, they reported that, under the same inspection cost (i.e., 20 percent of the total lines of code modified by all changes), it could find about 12% - 27% more defective changes than a state-of-the-art supervised model (i.e., EALR) when using …

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Function Risk Assessment Under Memory Leakage, Jianming Fu, Rui Jin, Yan Lin, Baihe Jiang, Zhengwei Guo

Research Collection School Of Computing and Information Systems

Code reuse attack (CRA), specifically reusing and then reconstructing the codes (gadgets) already existed in programs and libraries, is widely exploited in software attacks. Admittedly, determination of the location of the gadgets consisted of target instructions along with control flow transfer instructions, is of critical importance. Address Space Randomization (ASR), which serves as an effective technique to mitigate CRA, increases the entropy by randomizing the location of the code or data, and baffles adversaries from figuring out the memory layout. Currently, variable randomization methods of high granularity are proposed by scholars to prevent adversaries from deducting memory layout. However, their …

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Initializing Trust In Smart Devices Via Presence Attestation, Xuhua Ding, Gene Tsudik

Research Collection School Of Computing and Information Systems

Many personal computing and more specialized (e.g., high-end IoT) devices are now equipped with sophisticated processors that only a few years ago were present only on high-end desktops and servers. Such processors often include an important hardware security component in the form of a DRTM (Dynamic Root of Trust for Measurement) which initiates trust and resists software (and even some physical) attacks. However, despite substantial prior research on trust establishment with secure hardware, DRTM security was always considered without any involvement of the human user, who represents a vital missing link. This prompts an important challenge: how can a user …

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A Lightweight Cloud Sharing Phr System With Access Policy Updating, Zuobin Ying, Wenjie Jang, Shuanlong Cao, Ximeng Liu, Jie Cui

Research Collection School Of Computing and Information Systems

The rapid development of smart wearable devices makes personal health management feasible, which also stimulates the evolution of personal health records (PHRs). However, PHRs face many security challenges ever since it has been created. Besides, the complicated policy adjusting operation makes the PHRs stored in the cloud not so easy to use. In this paper, we propose a lightweight PHRs system on the basis of attribute-based encryption with policy updating. To update an outsourced ciphertext PHRs in the cloud, PHRs owners only need to generate an updating key, then upload it to the cloud server instead of retrieving the entire …

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Developing Accessible Collection And Presentation Methods For Observational Data, Drew Marie Williams

Dissertations (1934 -)

The processes of collecting, cleaning, and presenting data are critical in ensuring the proper analysis of data at a later date. An opportunity exists to enhance the data collection and presentation process for those who are not data scientists – such as healthcare professionals and businesspeople interested in using data to help them make decisions. In this work, creating an observational data collection and presentation tool is investigated, with a focus on developing a tool prioritizing user-friendliness and context preservation of the data collected. This aim is achieved via the integration of three approaches to data collection and presentation.In …

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Vitamin D: Controversy Cancer And Beyond, Cristian J. Rosales, Debasish Bandyopadhyay

Chemistry Faculty Publications and Presentations

Vitamins are an essential part to wellbeing. This was not something always known however, as the Germ theory was the accepted thesis of the 18th century. It was found that certain accessory factors helped mitigate and even cure these diseases such as beriberi, scurvy, and rickets. Accessory factors, later coined vitamins by Casimir Funk, are an essential constituent of the human diet. Vitamin D is technically not a vitamin but functions as a steroid hormone whose most well-known purpose is calcification of the human skeleton. This helps prevent osteomalacia in adults and rickets, a serious problem in children due to …

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Full-Text Articles in Physical Sciences and Mathematics

Lecture: Intro To Data Science - Ml 4 - Week Twelve, Grant Long, Nyc Tech-In-Residence Corps

Open Educational Resources

Lecture: Intro To Data Science - Ml 3 - Week Eleven, Grant Long, Nyc Tech-In-Residence Corps

Open Educational Resources

Lecture: Intro To Data Science - Ml 2 - Week Ten, Grant Long, Nyc Tech-In-Residence Corps

Open Educational Resources

Homework 1: Intro To Data Science (Week One), Grant Long, Nyc Tech-In-Residence

Open Educational Resources

Intro To Data Science - Course Intro (Week One), Grant Long, Nyc Tech-In-Residence

Open Educational Resources

Intro To Data Science - Data Exploration 2 (Week Three), Grant Long, Nyc Tech-In-Residence Corps

Open Educational Resources

Homework 2: Intro To Data Science ( Week Two), Grant Long, Nyc Tech-In-Residence

Open Educational Resources

Intro To Data Science - Guest Lecture On Deep Learning (Week Thirteen), Grant Long, Nyc Tech-In-Residence Corps

Open Educational Resources

Intro To Data Science - Ml 1 (Week Nine), Grant Long, Nyc Tech-In-Residence Corps

Open Educational Resources

Homework 5: Intro To Data Science (Week Five), Grant Long, Nyc Tech-In-Residence Corps

Open Educational Resources

Homework 7: Intro To Data Science (Week Eleven), Grant Long, Nyc Tech-In-Residence Corps

Open Educational Resources

Test: Intro To Data Science - Midterm Review, Grant Long, Nyc Tech-In-Residence Corps

Open Educational Resources

2018 October - Tennessee Monthly Climate Report, Tennessee Climate Office, East Tennessee State University

Tennessee Climate Office Monthly Report

Osl Dating Of The Tolleston Beach At Indiana Dunes National Lakeshore And Its Implications For Interpreting The Archaeological Record, Malgorzata Mahoney

Department of Earth and Atmospheric Sciences: Dissertations, Theses, and Student Research

Implementation Of Secure Dnp3 Architecture Of Scada System For Smart Grids, Uday Bhaskar Boyanapalli

Master of Science in Computer Science Theses

Knowledge-Aware Multimodal Dialogue Systems, Lizi Liao, Yunshan Ma, Xiangnan He, Richang Huang, Tat-Seng Chua

Research Collection School Of Computing and Information Systems

Knowledge-Aware Multimodal Dialogue Systems, Lizi Liao, Yunshan Ma, Xiangnan He, Richang Hong, Tat-Seng Chua

Research Collection School Of Computing and Information Systems

A Learning And Masking Approach To Secure Learning, Linh Nguyen, Sky Wang, Arunesh Sinha

Research Collection School Of Computing and Information Systems

Scaling-Up Stackelberg Security Games Applications Using Approximations, Arunesh Sinha, Aaron Schlenker, Donnabell Dmello, Milind Tambe

Research Collection School Of Computing and Information Systems

Sufat: An Analytics Tool For Gaining Insights From Student Feedback Comments, Siddhant Pyasi, Swapna Gottipati, Venky Shankararaman

Research Collection School Of Computing and Information Systems

Exploiting The Interdependency Of Land Use And Mobility For Urban Planning, Kasthuri Jayarajah, Andrew Tan, Archan Misra

Research Collection School Of Computing and Information Systems

Inferring Trip Occupancies In The Rise Of Ride-Hailing Services, Meng-Fen Chiang, Ee-Peng Lim, Wang-Chien Lee, Tuan-Anh Hoang

Research Collection School Of Computing and Information Systems

Prediction Of Relatedness In Stack Overflow: Deep Learning Vs. Svm: A Reproducibility Study, Bowen Xu, Amirreza Shirani, David Lo, Mohammad Amin Alipour

Research Collection School Of Computing and Information Systems

Automating Intention Mining, Qiao Huang, Xin Xia, David Lo, Gail C. Murphy

Research Collection School Of Computing and Information Systems

Revisiting Supervised And Unsupervised Models For Effort-Aware Just-In-Time Defect Prediction, Qiao Huang, Xin Xia, David Lo

Research Collection School Of Computing and Information Systems

Function Risk Assessment Under Memory Leakage, Jianming Fu, Rui Jin, Yan Lin, Baihe Jiang, Zhengwei Guo

Research Collection School Of Computing and Information Systems

Initializing Trust In Smart Devices Via Presence Attestation, Xuhua Ding, Gene Tsudik

Research Collection School Of Computing and Information Systems

A Lightweight Cloud Sharing Phr System With Access Policy Updating, Zuobin Ying, Wenjie Jang, Shuanlong Cao, Ximeng Liu, Jie Cui

Research Collection School Of Computing and Information Systems

Developing Accessible Collection And Presentation Methods For Observational Data, Drew Marie Williams

Dissertations (1934 -)

Vitamin D: Controversy Cancer And Beyond, Cristian J. Rosales, Debasish Bandyopadhyay

Chemistry Faculty Publications and Presentations