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Conquer: Contextual Query-Aware Ranking For Video Corpus Moment Retrieval, Zhijian Hou, Chong-Wah Ngo, W. K. Chan Oct 2021

Conquer: Contextual Query-Aware Ranking For Video Corpus Moment Retrieval, Zhijian Hou, Chong-Wah Ngo, W. K. Chan

Research Collection School Of Computing and Information Systems

This paper tackles a recently proposed Video Corpus Moment Retrieval task. This task is essential because advanced video retrieval applications should enable users to retrieve a precise moment from a large video corpus. We propose a novel CONtextual QUery-awarE Ranking (CONQUER) model for effective moment localization and ranking. CONQUER explores query context for multi-modal fusion and representation learning in two different steps. The first step derives fusion weights for the adaptive combination of multi-modal video content. The second step performs bi-directional attention to tightly couple video and query as a single joint representation for moment localization. As query context is …

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Token Shift Transformer For Video Classification, Zhang Hao, Yanbin. Hao, Chong-Wah Ngo Oct 2021

Token Shift Transformer For Video Classification, Zhang Hao, Yanbin. Hao, Chong-Wah Ngo

Research Collection School Of Computing and Information Systems

Transformer achieves remarkable successes in understanding 1 and 2-dimensional signals (e.g., NLP and Image Content Understanding). As a potential alternative to convolutional neural networks, it shares merits of strong interpretability, high discriminative power on hyper-scale data, and flexibility in processing varying length inputs. However, its encoders naturally contain computational intensive operations such as pair-wise self-attention, incurring heavy computational burden when being applied on the complex 3-dimensional video signals. This paper presents Token Shift Module (i.e., TokShift), a novel, zero-parameter, zero-FLOPs operator, for modeling temporal relations within each transformer encoder. Specifically, the TokShift barely temporally shifts partial [Class] token features back-and-forth …

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Cloud, Edge And Fog Computing: Trends And Case Studies, Eng Lieh Ouh, Stanislaw Jarzabek, Geok Shan Lim, Masayoshi Ogawa Oct 2021

Cloud, Edge And Fog Computing: Trends And Case Studies, Eng Lieh Ouh, Stanislaw Jarzabek, Geok Shan Lim, Masayoshi Ogawa

Research Collection School Of Computing and Information Systems

As it is done today, an informal – solely based on experts’ intuition – evaluation of profitability of adopting cloud services is undependable and not scalable as there are many conflicting factors and constraints such evaluation should account for. The revenue from service tenants and the cost of implementing the service architecture are the leading service factors that drive profitability. Cloud service architectures also need to handle a growing number of tenants with increasingly diverse requirements which must be weighed against the capabilities and costs of various service architectures, particularly single- versus multi-tenanted models. We believe a conceptual model enumerating …

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Integrated Discourse Analysis & Learning Skills Framework For Class Conversations, Devyn Wei Hung Tan, Gottipati Swapna, Kyong Jin Shim, Shankararaman, Venky Oct 2021

Integrated Discourse Analysis & Learning Skills Framework For Class Conversations, Devyn Wei Hung Tan, Gottipati Swapna, Kyong Jin Shim, Shankararaman, Venky

Research Collection School Of Computing and Information Systems

Constructive interactions through discussion forums allow students to open their horizons and thought processes to acquire more knowledge and develop skills. Thus, discussion forums play an important role in supporting learning. Additionally, the discussion forum provides the content for creating a knowledge repository. It contains discussion threads related to key course topics that are debated by the students. One approach to understanding the student learning experience is through the analysis of the discussion threads. This research proposes the application of discourse analysis and collaborative learning frameworks to discussion forums to gain further insights into the student’s learning in a classroom. …

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Interactive Probing Of Multivariate Time Series Prediction Models: A Case Of Freight Rate Analysis, Haonan Xu, Haotian Li, Yong Wang Oct 2021

Interactive Probing Of Multivariate Time Series Prediction Models: A Case Of Freight Rate Analysis, Haonan Xu, Haotian Li, Yong Wang

Research Collection School Of Computing and Information Systems

We present an interactive probing tool to create, modify and analyze what-if scenarios for multivariate time series models. The solution is applied to freight trading, where analysts can carry out sensitivity analysis on freight rates by changing demand and supply-related econometric variables and observing their resultant effects on freight indexes. We utilize various visualization techniques to enable intuitive scenario creation, alteration, and comprehension of time series inputs and model predictions. Our tool proved to be useful to the industry practitioners, demonstrated by a case study where freight traders are given hypothetical market scenarios and successfully generated quantitative freight index projection …

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Visilence: An Interactive Visualization Tool For Error Resilience Analysis, Shaolun Ruan, Yong Wang, Qiang Guan Oct 2021

Visilence: An Interactive Visualization Tool For Error Resilience Analysis, Shaolun Ruan, Yong Wang, Qiang Guan

Research Collection School Of Computing and Information Systems

Soft errors have become one of the major concerns for HPC applications, as those errors can result in seriously corrupted outcomes, such as silent data corruptions (SDCs). Prior studies on error resilience have studied the robustness of HPC applications. However, it is still difficult for program developers to identify potential vulnerability to soft errors. In this paper, we present Visilence, a novel visualization tool to visually analyze error vulnerability based on the control-flow graph generated from HPC applications. Visilence efficiently visualizes the affected program states under injected errors and presents the visual analysis of the most vulnerable parts of an …

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Quantum Computing: Computational Excellence For Society 5.0, Paul R. Griffin, Michael Boguslavsky, Junye Huang, Robert J. Kauffman, Brian R. Tan Oct 2021

Quantum Computing: Computational Excellence For Society 5.0, Paul R. Griffin, Michael Boguslavsky, Junye Huang, Robert J. Kauffman, Brian R. Tan

Research Collection School Of Computing and Information Systems

In this chapter, we consider which general business problems may be suitable for exploring the utilization of quantum computing and provide a framework for applying quantum computing. The characteristics of quantum computing systems are mapped into business problems to show the potential advantages of quantum computing. The framework shows how quantum computing can be applied in general, and a use case is offered for quantum machine learning (QML) related to the credit ratings of small and medium-size enterprises (SMEs).

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Cloudnplay: Resource Optimization For A Cloud-Native Gaming System, Angelus Wibowo, Nguyen Binh Duong Ta Oct 2021

Cloudnplay: Resource Optimization For A Cloud-Native Gaming System, Angelus Wibowo, Nguyen Binh Duong Ta

Research Collection School Of Computing and Information Systems

Cloud gaming enables people playing graphically intensive games from their less powerful, or even outdated computing devices. It is challenging to realize cloud gaming as it requires minimal latency in server-side processing, rendering and streaming, which are expensive in terms of resource requirements, e.g., powerful GPU servers. Commercial gaming providers, e.g., Google Stadia, Amazon Luna, etc., hardly disclose any information on how they optimize gaming performance and cloud cost. In this work, we aim to investigate resource cost optimization for such cloud gaming systems. In contrast to previous work which have been focusing more on theoretical approaches, we deliver a …

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Latent Class Analysis For Identifying Subclasses Of Depression Using Jmp Pro 16, Karishma Yadav, Fei Fei Sue-Ann Seet, Tin Seong Kam, Tin Seong Kam Oct 2021

Latent Class Analysis For Identifying Subclasses Of Depression Using Jmp Pro 16, Karishma Yadav, Fei Fei Sue-Ann Seet, Tin Seong Kam, Tin Seong Kam

Research Collection School Of Computing and Information Systems

According to WHO, “Depression is a leading cause of disability worldwide and is a major contributor to the overall global burden of disease”. A major stumbling block in the care of depressed patients remains the accurate diagnosis of the severity of depression. Patient Health Questionnaire (PHQ-9), a 9-question instrument is widely used for diagnosing and determining the severity of depression. However, the popularly used 5-Category of depression severity based on the sum of responses to the 9 questions was overly subjective. In view of this limitation, our paper aims to demonstrate how Latent Class Analysis of JMP Pro can be …

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Disambiguating Mentions Of Api Methods In Stack Overflow Via Type Scoping, Kien Luong, Ferdian Thung, David Lo Oct 2021

Disambiguating Mentions Of Api Methods In Stack Overflow Via Type Scoping, Kien Luong, Ferdian Thung, David Lo

Research Collection School Of Computing and Information Systems

Stack Overflow is one of the most popular venues for developers to find answers to their API-related questions. However, API mentions in informal text content of Stack Overflow are often ambiguous and thus it could be difficult to find the APIs and learn their usages. Disambiguating these API mentions is not trivial, as an API mention can match with names of APIs from different libraries or even the same one. In this paper, we propose an approach called DATYS to disambiguate API mentions in informal text content of Stack Overflow using type scoping. With type scoping, we consider API methods …

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Differentiated Learning For Multi-Modal Domain Adaptation, Jianming Lv, Kaijie Liu, Shengfeng He Oct 2021

Differentiated Learning For Multi-Modal Domain Adaptation, Jianming Lv, Kaijie Liu, Shengfeng He

Research Collection School Of Computing and Information Systems

Directly deploying a trained multi-modal classifier to a new environment usually leads to poor performance due to the well-known domain shift problem. Existing multi-modal domain adaptation methods treated each modality equally and optimize the sub-models of different modalities synchronously. However, as observed in this paper, the degrees of domain shift in different modalities are usually diverse. We propose a novel Differentiated Learning framework to make use of the diversity between multiple modalities for more effective domain adaptation. Specifically, we model the classifiers of different modalities as a group of teacher/student sub-models, and a novel Prototype based Reliability Measurement is presented …

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From Contexts To Locality: Ultra-High Resolution Image Segmentation Via Locality-Aware Contextual Correlation, Qi Li, Weixiang Yang, Wenxi Liu, Yuanlong Yu, Shengfeng He Oct 2021

From Contexts To Locality: Ultra-High Resolution Image Segmentation Via Locality-Aware Contextual Correlation, Qi Li, Weixiang Yang, Wenxi Liu, Yuanlong Yu, Shengfeng He

Research Collection School Of Computing and Information Systems

Ultra-high resolution image segmentation has raised increasing interests in recent years due to its realistic applications. In this paper, we innovate the widely used high-resolution image segmentation pipeline, in which an ultrahigh resolution image is partitioned into regular patches for local segmentation and then the local results are merged into a high-resolution semantic mask. In particular, we introduce a novel locality-aware contextual correlation based segmentation model to process local patches, where the relevance between local patch and its various contexts are jointly and complementarily utilized to handle the semantic regions with large variations. Additionally, we present a contextual semantics refinement …

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Analyzing Devops Teaching Strategies: An Initial Study, Samuel Ferino, Marcelo Fernandes, Anny K. Fernandes, Uirá Kulesza, Eduardo Aranha, Christoph Treude Oct 2021

Analyzing Devops Teaching Strategies: An Initial Study, Samuel Ferino, Marcelo Fernandes, Anny K. Fernandes, Uirá Kulesza, Eduardo Aranha, Christoph Treude

Research Collection School Of Computing and Information Systems

DevOps refers to a set of practices that integrate software development and operations with the primary aim to enable the continuous delivery of high-quality software. DevOps has also promoted several challenges to software engineering teaching. In this paper, we present a preliminary study that analyzes existing teaching strategies reported in the literature. Our findings indicate a set of approaches highlighting the use of environments to support teaching. Our work also investigates how these environments can contribute to address existing challenges and recommendations of DevOps teaching.

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Contrasting Third-Party Package Management User Experience, Syful Islam, Raula Kula, Christoph Treude, Takashi Ishio, Kenichi Matsumoto Oct 2021

Contrasting Third-Party Package Management User Experience, Syful Islam, Raula Kula, Christoph Treude, Takashi Ishio, Kenichi Matsumoto

Research Collection School Of Computing and Information Systems

The management of third-party package dependencies is crucial to most technology stacks, with package managers acting as brokers to ensure that a verified package is correctly installed, configured, or removed from an application. Diversity in technology stacks has led to dozens of package ecosystems with their own management features. While recent studies have shown that developers struggle to migrate their dependencies, the common assumption is that package ecosystems are used without any issue. In this study, we explore 13 package ecosystems to understand whether their features correlate with the experience of their users. By studying experience through the questions that …

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Impact Of Digital Nudging On Information Security Behavior: An Experimental Study On Framing And Priming In Cybersecurity, Kavya Sharma, Xinhui Zhan, Fiona Fui-Hoon Nah, Keng Siau, Maggie X. Cheng Oct 2021

Impact Of Digital Nudging On Information Security Behavior: An Experimental Study On Framing And Priming In Cybersecurity, Kavya Sharma, Xinhui Zhan, Fiona Fui-Hoon Nah, Keng Siau, Maggie X. Cheng

Research Collection School Of Computing and Information Systems

Purpose: Phishing attacks are the most common cyber threats targeted at users. Digital nudging in the form of framing and priming may reduce user susceptibility to phishing. This research focuses on two types of digital nudging, framing and priming, and examines the impact of framing and priming on users' behavior (i.e. action) in a cybersecurity setting. It draws on prospect theory, instance-based learning theory and dual-process theory to generate the research hypotheses. Design/methodology/approach: A 3 × 2 experimental study was carried out to test the hypotheses. The experiment consisted of three levels for framing (i.e. no framing, negative framing and …

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Taxthemis: Interactive Mining And Exploration Of Suspicious Tax Evasion Group, Yating Lin, Kamkwai Wong, Yong Wang, Rong Zhang, Bo Dong, Huamin Qu, Qinghua Zheng Oct 2021

Taxthemis: Interactive Mining And Exploration Of Suspicious Tax Evasion Group, Yating Lin, Kamkwai Wong, Yong Wang, Rong Zhang, Bo Dong, Huamin Qu, Qinghua Zheng

Research Collection School Of Computing and Information Systems

Tax evasion is a serious economic problem for many countries, as it can undermine the government’s tax system and lead to an unfair business competition environment. Recent research has applied data analytics techniques to analyze and detect tax evasion behaviors of individual taxpayers. However, they have failed to support the analysis and exploration of the related party transaction tax evasion (RPTTE) behaviors (e.g., transfer pricing), where a group of taxpayers is involved. In this paper, we present TaxThemis, an interactive visual analytics system to help tax officers mine and explore suspicious tax evasion groups through analyzing heterogeneous tax-related data. A …

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Tradao: A Visual Analytics System For Trading Algorithm Optimization, Ka Wing Tsang, Haotian Li, Fuk Ming Lam, Yifan Mu, Yong Wang, Huamin Qu Oct 2021

Tradao: A Visual Analytics System For Trading Algorithm Optimization, Ka Wing Tsang, Haotian Li, Fuk Ming Lam, Yifan Mu, Yong Wang, Huamin Qu

Research Collection School Of Computing and Information Systems

With the wide applications of algorithmic trading, it has become critical for traders to build a winning trading algorithm to beat the market. However, due to the lack of efficient tools, traders mainly rely on their memory to manually compare the algorithm instances of a trading algorithm and further select the best trading algorithm instance for the real trading deployment. We work closely with industry practitioners to discover and consolidate user requirements and develop an interactive visual analytics system for trading algorithm optimization. Structured expert interviews are conducted to evaluateTradAOand a representative case study is documented for illustrating the system …

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The Economics Of Empires: An Analysis Of British Railway Investments In 1850s Imperial Brazil, Scott Benigno Oct 2021

The Economics Of Empires: An Analysis Of British Railway Investments In 1850s Imperial Brazil, Scott Benigno

Armstrong Undergraduate Journal of History

While Brazil is not often thought to be connected to Britain in our present day, Brazil’s early independent history was inextricably linked with the European imperial power. Using A Report on the Proposed Railway in the Province of Pernambuco, Brazil written by British civil engineer Edward De Mornay in 1855 as an example, this paper looks specifically at Britain’s interests in developing railways in the mostly non-industrialized Brazil and the reasons behind.

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Distressing For People’S Lives When Lights Go Off During Facebook Outage, Ramaswami, S. Oct 2021

Distressing For People’S Lives When Lights Go Off During Facebook Outage, Ramaswami, S.

Research Collection Lee Kong Chian School Of Business

The rise of the super app has changed our lives – and livelihoods – as many of us depend on these social media sites to make a living. Are there alternatives or are we always going to be held hostage? SMU’s Seshan Ramaswami gives his take.

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Resource Capacity Requirement For Multi-Terminal Cooperation In Container Ports, Byung Kwon Lee, Mei Wan Low Oct 2021

Resource Capacity Requirement For Multi-Terminal Cooperation In Container Ports, Byung Kwon Lee, Mei Wan Low

Research Collection Lee Kong Chian School Of Business

Capacity sharing among neighboring terminals offer a means to meet increasing or unexpected demand for cargo-handling without additional capital investment. This study proposes a model for capacity requirement planning of major resources, such as quay cranes (QCs), storage space, and gate, in multiterminal port operations where demand is time dependent. A resource profile simulation is run to generate random events across the terminals and estimate the capacity requirement in the form of workload distributions on port resources over time-shifts. The effects on workload requirement, arising from multiterminal cooperation, are subsequently evaluated in consideration of different container flows among terminals. Experimental …

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Resource Capacity Requirement For Multi-Terminal Cooperation In Container Ports, Byung Kwon Lee, Mei Wan Low Oct 2021

Resource Capacity Requirement For Multi-Terminal Cooperation In Container Ports, Byung Kwon Lee, Mei Wan Low

Research Collection Lee Kong Chian School Of Business

Capacity sharing among neighboring terminals offer a means to meet increasing or unexpected demand for cargo-handling without additional capital investment. This study proposes a model for capacity requirement planning of major resources, such as quay cranes (QCs), storage space, and gate, in multiterminal port operations where demand is time dependent. A resource profile simulation is run to generate random events across the terminals and estimate the capacity requirement in the form of workload distributions on port resources over time-shifts. The effects on workload requirement, arising from multiterminal cooperation, are subsequently evaluated in consideration of different container flows among terminals. Experimental …

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Trusting Ai In Autonomous Driving Vehicles, Ru Lian, Keng Siau Oct 2021

Trusting Ai In Autonomous Driving Vehicles, Ru Lian, Keng Siau

Research Collection School Of Computing and Information Systems

Autonomous driving vehicles are no longer sci-fi and will soon be part of our daily lives. Trust in self-driving technology will impact the adoption and utilization of autonomous driving technology. In this research, we use a qualitative research methodology, Value-Focused Thinking, to identify the values of trust in autonomous driving vehicles and analyze the relationship between these values. The results of this research will contribute to both the theoretical and practical aspects of trusting AI in autonomous driving vehicles.

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Nh Prescribed Fire Council Meeting Minutes - 10/28/2021, Cooperative Extension Oct 2021

Nh Prescribed Fire Council Meeting Minutes - 10/28/2021, Cooperative Extension

UNH Cooperative Extension

No abstract provided.

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Recent Updates On Ions And Nutrients Uptake By Halotolerant Freshwater And Marine Microalgae In Conditions Of High Salinity, Abdul Mannan Zafar, Muhammad Asad Javed, Ashraf Aly Hassan, Khalid Mehmood, Endalkachew Sahle-Demessie Oct 2021

Recent Updates On Ions And Nutrients Uptake By Halotolerant Freshwater And Marine Microalgae In Conditions Of High Salinity, Abdul Mannan Zafar, Muhammad Asad Javed, Ashraf Aly Hassan, Khalid Mehmood, Endalkachew Sahle-Demessie

Department of Civil and Environmental Engineering: Faculty Publications

Algae is an appropriate natural resource to augment the optimal use of undesired ions in water and wastewater. Increasing algal cells, the consumption of particular ions, including chloride, nitrate, phosphate, and ammonium, provides a suitable way to optimize water treatment processes. Different algal species have the capability to survive in extreme salinities by developing resistance against osmotic pressure in saline water. The current study reviews the effect of salinity on algal biomass production, algal growth rate, chlorides, nitrates, phosphates, chemical oxygen demand (COD), total nitrogen, total phosphorus, and ammonium ions. Mainly algae cultivated in freshwater, synthetic brackish water, seawater, and …

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Ab 5 And Ab 2257 Impacts On Small California Public Agencies, Sarah Robustelli Oct 2021

Ab 5 And Ab 2257 Impacts On Small California Public Agencies, Sarah Robustelli

Master's Projects

With the recent changes, government agencies are struggling to define worker status under the new laws (DeBlanc and Safarloo, 2020). The interest in eliminating independent contractors is tied to concerns about workers in the private sector, specifically the gig economy, being denied appropriate pay and benefits, yet even government agencies are affected by AB 5 changes (Andoyan, 2017, Bergman, 2020). Traditionally, small public agencies use contractors frequently for professional services, specialists, backfill positions, recreation, geographic information systems (GIS), and much more. This research analyzes the following question: What is the impact of Assembly Bill 5 (AB 5) and Assembly Bill …

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Wave Diffraction From A Truncated Cylinder With A Moonpool Of Arbitrary Cross-Section: A Semi-Analytical Study, Siming Zheng, Wei Gao, Yingyi Liu, Shanshan Cheng Oct 2021

Wave Diffraction From A Truncated Cylinder With A Moonpool Of Arbitrary Cross-Section: A Semi-Analytical Study, Siming Zheng, Wei Gao, Yingyi Liu, Shanshan Cheng

School of Engineering, Computing and Mathematics

No abstract provided.

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China Maritime Report No. 15: The New Chinese Marine Corps: A "Strategic Dagger" In A Cross-Strait Invasion, Conor Kennedy Oct 2021

China Maritime Report No. 15: The New Chinese Marine Corps: A "Strategic Dagger" In A Cross-Strait Invasion, Conor Kennedy

CMSI China Maritime Reports

Since 2017, the People’s Liberation Army Navy Marine Corps (PLANMC) has undergone significant expansion, growing from two brigades to eight. The major impetus behind these efforts is a desire to build the service arm into an expeditionary force capable of operating in most environments at short notice. However, PLANMC reform has also bolstered its ability to contribute to major campaigns along China’s periphery, including a Taiwan invasion scenario. This report examines the PLANMC’s role in a cross-strait amphibious campaign and analyzes how new additions to the force could be used against Taiwan.

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Data Augmentation For Automatic Speech Recognition For Low Resource Languages, Ronit Damania Oct 2021

Data Augmentation For Automatic Speech Recognition For Low Resource Languages, Ronit Damania

Theses

In this thesis, we explore several novel data augmentation methods for improving the performance of automatic speech recognition (ASR) on low-resource languages. Using a 100-hour subset of English LibriSpeech to simulate a low-resource setting, we compare the well-known SpecAugment augmentation approach to these new methods, along with several other competitive baselines. We then apply the most promising combinations of models and augmentation methods to three genuinely under-resourced languages using the 40-hour Gujarati, Tamil, Telugu datasets from the 2021 Interspeech Low Resource Automatic Speech Recognition Challenge for Indian Languages. Our data augmentation approaches, coupled with state-of-the-art acoustic model architectures and language …

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Advanced Photovoltaic Devices Enabled By Lattice-Mismatched Epitaxy, Anastasiia Fedorenko Oct 2021

Advanced Photovoltaic Devices Enabled By Lattice-Mismatched Epitaxy, Anastasiia Fedorenko

Theses

Thin-film III-V semiconductor-based photovoltaic (PV) devices, whose light conversion efficiency is primarily limited by the minority carrier lifetimes, are commonly designed to minimize the formation of crystalline defects (threading dislocations or, in extreme cases, fractures) that can occur, in particular, due to a mismatch in lattice constants of the epitaxial substrate and of the active film. At the same time, heteroepitaxy using Si or metal foils instead of costly III-V substrates is a pathway to enabling low-cost thin-film III-V-based PV and associated devices, yet it requires to either use metamorphic buffers or lateral confinement either by substrate patterning or by …

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Semantic Segmentation And Change Detection In Satellite Imagery, Raaga Madappa Oct 2021

Semantic Segmentation And Change Detection In Satellite Imagery, Raaga Madappa

Theses

Processing of satellite images using deep learning and computer vision methods is needed for urban planning, crop assessments, disaster management, and rescue and recovery operations. Deep learning methods which are trained on ground-based imagery do not translate well to satellite imagery. In this thesis, we focus on the tasks of semantic segmentation and change detection in satellite imagery. A segmentation framework is presented based on existing waterfall-based modules. The proposed framework, called PyramidWASP, or PyWASP for short, can be used with two modules. PyWASP with the Waterfall Atrous Spatial Pooling (WASP) module investigates the effects of adding a feature pyramid …

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