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Analysis On The Accessibility, Performance, And Security Issues Of The Satellite Internet Services, Young B. Choi Apr 2022

Analysis On The Accessibility, Performance, And Security Issues Of The Satellite Internet Services, Young B. Choi

KAUPA Letters

Recently, various Satellite Internet (SI) services are emerging. Especially, because of swiftly changing global geopolitical environments in the Internet usage is demanding the Satellite Internet services. In this article, the concept of SI, its players in the market, accessibility, and security issues are discussed with future development directions.

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Cosmogenic Ages Indicate No Mis 2 Refugia In The Alexander Archipelago, Alaska, Caleb K. Walcott, Jason P. Briner, James F. Baichtal, Alia J. Lesnek, Joseph M. Licciardi Apr 2022

Cosmogenic Ages Indicate No Mis 2 Refugia In The Alexander Archipelago, Alaska, Caleb K. Walcott, Jason P. Briner, James F. Baichtal, Alia J. Lesnek, Joseph M. Licciardi

Publications and Research

The late-Pleistocene history of the coastal Cordilleran Ice Sheet remains relatively unstudied compared to chronologies of the Laurentide Ice Sheet. Yet accurate reconstructions of Cordilleran Ice Sheet extent and the timing of ice retreat along the Pacific Coast are essential for paleoclimate modeling, assessing meltwater contribution to the North Pacific, and determining the availability of ice-free land along the coastal Cordilleran Ice Sheet margin for human migration from Beringia into the rest of the Americas. To improve the chronology of Cordilleran Ice Sheet history in the Alexander Archipelago, Alaska, we applied 10Be and 36Cl dating to boulders and glacially sculpted …

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The Social Construction Of Language: Identity, Reality, And Trauma In American Composition Courses, Joselyne Campos Apr 2022

The Social Construction Of Language: Identity, Reality, And Trauma In American Composition Courses, Joselyne Campos

All NMU Master's Theses

The purpose of this thesis is to investigate the ways in which instructors have the potential to reinforce or disrupt systems of oppression and power in the composition classroom through language, writing, and rhetoric. I draw upon pedagogical and rhetorical theorists, to analyze how language closely interacts with identity and how it impacts an individual's understanding and perception of reality. I consider how texts utilize language to communicate normative citizenship and challenge students' conceptions of the world around them, and how to teach from an anti-racist perspective that incorporates critical pedagogy and does not focus solely on minoritized communities’ trauma …

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Increase In 1rm Back Squat After Abdominal Stabilizing Maneuvers, Caro Els Apr 2022

Increase In 1rm Back Squat After Abdominal Stabilizing Maneuvers, Caro Els

All NMU Master's Theses

Increasing intra-abdominal pressure (IAP) during free weight exercises can protect the lumbar spine from excess movement; a cause of lower back pain. Abdominal bracing (AB) and abdominal hollowing (AH) are two stabilizing maneuvers that increase IAP. Previous literature primarily compared AH and AB in therapy settings on bodyweight single joint movements. The effect of AB and AH during a multi-joint movement involving a maximum or near maximum external load is unknown. The purpose of this study was to compare the effect of AB and AH on lower limb muscle activity and the maximum amount of external weight lifted during a …

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"What If We're On The Wrong Side?": Police Brutality, Protest, And Player Culpability In Heavy Rain And Detroit: Become Human, Karmann E. Ludwig Apr 2022

"What If We're On The Wrong Side?": Police Brutality, Protest, And Player Culpability In Heavy Rain And Detroit: Become Human, Karmann E. Ludwig

All NMU Master's Theses

Choice-based video games have often been called “interactive movies” for their unique position as a genre that lets players craft a unique story by making decisions that alter the game’s narrative. Two well-known examples in this genre, Quantic Dream’s Heavy Rain and Detroit: Become Human, offer a variety of possible story lines and outcomes for players to experience. However, because these two narratives are steeped in themes of police brutality, systemic racism, and protest, the way a player shapes a story does not exist in a relatively “moral-free” vacuum. Rather, the legal and social precedents that are often used to …

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Do We Still Have God?, Semoon Chang Apr 2022

Do We Still Have God?, Semoon Chang

KAUPA Letters

No abstract provided.

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A Book Review: The Moon Is Down, Young B. Choi Apr 2022

A Book Review: The Moon Is Down, Young B. Choi

KAUPA Letters

No abstract provided.

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Hierarchical Multi-Instance Learning For Element Detection In Text, Sukhwa Hong Apr 2022

Hierarchical Multi-Instance Learning For Element Detection In Text, Sukhwa Hong

KAUPA Letters

No abstract provided.

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Kaupa Letters: Volume 9, Issue 4, Korean American University Professors Association Apr 2022

Kaupa Letters: Volume 9, Issue 4, Korean American University Professors Association

KAUPA Letters

No abstract provided.

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Influences Of Personal Innovativeness On Purchase Intention Of Wearable Devices, Beom-Jin Choi Apr 2022

Influences Of Personal Innovativeness On Purchase Intention Of Wearable Devices, Beom-Jin Choi

KAUPA Letters

Wearable devices are smart electronics that are worn on and/or close to the human body. This study explores the influences of consumers’ personal innovativeness (CPI) on the relationship between wearability, relative advantage, novelty, aesthetics, and social image on purchase intention of wearable devices. The findings show that social image, novelty, aesthetics, and relative advantage affect purchase intention of consumers whereas wearability shows no significant effect on purchase intention. Novelty shows a significant effect only with consumers of high personal innovativeness.

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Child Of Empire, Sheila J. Nayar Apr 2022

Child Of Empire, Sheila J. Nayar

Journal of Religion & Film

This is a review of the VR short film, Child of Empire (2022), created by Project Dastaan, which includes the artists Sparsh Ahuja, Erfan Saadati, Stephen Stephenson, and Omi Zola Gupta.

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Impact Of Polymer Rheology On Gel Treatment Performance Of Horizontal Wells With Severe Channeling, Jianqiao Leng, Mingzhen Wei, Baojun Bai Apr 2022

Impact Of Polymer Rheology On Gel Treatment Performance Of Horizontal Wells With Severe Channeling, Jianqiao Leng, Mingzhen Wei, Baojun Bai

Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works

Gel treatment has been a cost-effective method to control the conformance of a reservoir with severe heterogeneity problems. The water channels in such reservoirs can be classified as open fractures or high permeability porous media with pore-throat network. Many simulation studies have been conducted to discuss gel treatment performance for conformance control. However, nobody considered the polymer rheology difference in open fractures and porous media in simulation. Previous simulation studies also ignored the residual resistance factor as a function of rock permeability rather than a constant parameter. In this study, a conceptual simulation model was established to simulate the linear …

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How Employees Learn To Speak Up From Their Leaders: Gender Congruity Effects In The Development Of Voice Self-Efficacy, Thomas Taiyi Yan, Subrahmaniam Tangirala, Abhijeet K. Vadera, Srinivas Ekkirala Apr 2022

How Employees Learn To Speak Up From Their Leaders: Gender Congruity Effects In The Development Of Voice Self-Efficacy, Thomas Taiyi Yan, Subrahmaniam Tangirala, Abhijeet K. Vadera, Srinivas Ekkirala

Research Collection Lee Kong Chian School Of Business

Voice-or the expression of ideas, concerns, or opinions on work issues by employees-can help organizations thrive. However, we highlight that men and women differ in their voice self-efficacy, or the personal confidence in formulating and articulating work-related viewpoints. Such differences, we argue, can impede women's voice from emerging at work. Drawing on social cognitive theory (SCT), we propose that women tend to develop greater voice self-efficacy and thereby speak up more when they have the opportunity to observe female rather than male leaders speak up. Hence, we point to the potential absence of women leaders who can role model speaking …

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A Framework For Understanding The Taxation Of Digital Tokens, Vincent Ooi Apr 2022

A Framework For Understanding The Taxation Of Digital Tokens, Vincent Ooi

Research Collection Yong Pung How School Of Law

As a relatively new area, the taxation of digital tokens can give rise to several dangerous misconceptions. This article lays out five propositions to counter these misconceptions: 1) digital tokens are not a single monolithic asset class attracting uniform tax treatment; 2) the common trichotomous division of digital tokens into payment, utility and security tokens is derived from securities regulation and should not be blindly adopted into tax law; 3) the three classes are not mutually exclusive and hybrid tokens may exist; 4) the fact that an asset is a digital token rarely changes its tax treatment by itself, which …

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Learning Scenario Representation For Solving Two-Stage Stochastic Integer Programs, Yaoxin Wu, Wen Song, Zhiguang Cao, Jie Zhang Apr 2022

Learning Scenario Representation For Solving Two-Stage Stochastic Integer Programs, Yaoxin Wu, Wen Song, Zhiguang Cao, Jie Zhang

Research Collection School Of Computing and Information Systems

Many practical combinatorial optimization problems under uncertainty can be modeled as stochastic integer programs (SIPs), which are extremely challenging to solve due to the high complexity. To solve two-stage SIPs efficiently, we propose a conditional variational autoencoder (CVAE) based method to learn scenario representation for a class of SIP instances. Specifically, we design a graph convolutional network based encoder to embed each scenario with the deterministic part of its instance (i.e. context) into a low-dimensional latent space, from which a decoder reconstructs the scenario from its latent representation conditioned on the context. Such a design effectively captures the dependencies of …

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Resil: Revivifying Function Signature Inference Using Deep Learning With Domain-Specific Knowledge, Yan Lin, Debin Gao, David Lo Apr 2022

Resil: Revivifying Function Signature Inference Using Deep Learning With Domain-Specific Knowledge, Yan Lin, Debin Gao, David Lo

Research Collection School Of Computing and Information Systems

Function signature recovery is important for binary analysis and security enhancement, such as bug finding and control-flow integrity enforcement. However, binary executables typically have crucial information vital for function signature recovery stripped off during compilation. To make things worse, recent studies show that many compiler optimization strategies further complicate the recovery of function signatures with intended violations to function calling conventions.In this paper, we first perform a systematic study to quantify the extent to which compiler optimizations (negatively) impact the accuracy of existing deep learning techniques for function signature recovery. Our experiments show that a state-of-the-art deep learning technique has …

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On Size-Oriented Long-Tailed Graph Classification Of Graph Neural Networks, Zemin Liu, Qiheng Mao, Chenghao Liu, Yuan Fang, Jianling Sun Apr 2022

On Size-Oriented Long-Tailed Graph Classification Of Graph Neural Networks, Zemin Liu, Qiheng Mao, Chenghao Liu, Yuan Fang, Jianling Sun

Research Collection School Of Computing and Information Systems

The prevalence of graph structures attracts a surge of investigation on graph data, enabling several downstream tasks such as multigraph classification. However, in the multi-graph setting, graphs usually follow a long-tailed distribution in terms of their sizes, i.e., the number of nodes. In particular, a large fraction of tail graphs usually have small sizes. Though recent graph neural networks (GNNs) can learn powerful graph-level representations, they treat the graphs uniformly and marginalize the tail graphs which suffer from the lack of distinguishable structures, resulting in inferior performance on tail graphs. To alleviate this concern, in this paper we propose a …

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Computableviz: Mathematical Operators As A Formalism For Visualization Processing And Analysis, Aoyu Wu, Wai Tong, Haotian Li, Dominik Moritz, Yong Wang, Huamin. Qu Apr 2022

Computableviz: Mathematical Operators As A Formalism For Visualization Processing And Analysis, Aoyu Wu, Wai Tong, Haotian Li, Dominik Moritz, Yong Wang, Huamin. Qu

Research Collection School Of Computing and Information Systems

Data visualizations are created and shared on the web at an unprecedented speed, raising new needs and questions for processing and analyzing visualizations after they have been generated and digitized. However, existing formalisms focus on operating on a single visualization instead of multiple visualizations, making it challenging to perform analysis tasks such as sorting and clustering visualizations. Through a systematic analysis of previous work, we abstract visualization-related tasks into mathematical operators such as union and propose a design space of visualization operations. We realize the design by developing ComputableViz, a library that supports operations on multiple visualization specifications. To demonstrate …

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Cost: Contrastive Learning Of Disentangled Seasonal-Trend Representations For Time Series Forecasting, Gerald Woo, Chenghao Liu, Doyen Sahoo, Akshat Kumar, Steven Hoi Apr 2022

Cost: Contrastive Learning Of Disentangled Seasonal-Trend Representations For Time Series Forecasting, Gerald Woo, Chenghao Liu, Doyen Sahoo, Akshat Kumar, Steven Hoi

Research Collection School Of Computing and Information Systems

Deep learning has been actively studied for time series forecasting, and the mainstream paradigm is based on the end-to-end training of neural network architectures, ranging from classical LSTM/RNNs to more recent TCNs and Transformers. Motivated by the recent success of representation learning in computer vision and natural language processing, we argue that a more promising paradigm for time series forecasting, is to first learn disentangled feature representations, followed by a simple regression fine-tuning step – we justify such a paradigm from a causal perspective. Following this principle, we propose a new time series representation learning framework for long sequence time …

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Asteroids: Exploring Swarms Of Mini-Telepresence Robots For Physical Skill Demonstration, Jiannan Li, Maurício Sousa, Chu Li, Jessie Liu, Yan Chen, Ravin Balakrishnan, Tovi Grossman Apr 2022

Asteroids: Exploring Swarms Of Mini-Telepresence Robots For Physical Skill Demonstration, Jiannan Li, Maurício Sousa, Chu Li, Jessie Liu, Yan Chen, Ravin Balakrishnan, Tovi Grossman

Research Collection School Of Computing and Information Systems

Online synchronous tutoring allows for immediate engagement between instructors and audiences over distance. However, tutoring physical skills remains challenging because current telepresence approaches may not allow for adequate spatial awareness, viewpoint control of the demonstration activities scattered across an entire work area, and the instructor’s sufficient awareness of the audience. We present Asteroids, a novel approach for tangible robotic telepresence, to enable workbench-scale physical embodiments of remote people and tangible interactions by the instructor. With Asteroids, the audience can actively control a swarm of mini-telepresence robots, change camera positions, and switch to other robots’ viewpoints. Demonstrators can perceive the audiences’ …

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Immersivepov: Filming How-To Videos With A Head-Mounted 360° Action Camera, Kevin Huang, Jiannan Li, Maurício Sousa, Tovi Grossman Apr 2022

Immersivepov: Filming How-To Videos With A Head-Mounted 360° Action Camera, Kevin Huang, Jiannan Li, Maurício Sousa, Tovi Grossman

Research Collection School Of Computing and Information Systems

How-to videos are often shot using camera angles that may not be optimal for learning motor tasks, with a prevalent use of third-person perspective. We present immersivePOV, an approach to film how-to videos from an immersive first-person perspective using a head-mounted 360° action camera. immersivePOV how-to videos can be viewed in a Virtual Reality headset, giving the viewer an eye-level viewpoint with three Degrees of Freedom. We evaluated our approach with two everyday motor tasks against a baseline first-person perspective and a third-person perspective. In a between-subjects study, participants were assigned to watch the task videos and then replicate the …

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Learning For Amalgamation: A Multi-Source Transfer Learning Framework For Sentiment Classification, Cuong V. Nguyen, Khiem H. Le, Hong Quang Pham, Quang H. Pham, Binh T. Nguyen Apr 2022

Learning For Amalgamation: A Multi-Source Transfer Learning Framework For Sentiment Classification, Cuong V. Nguyen, Khiem H. Le, Hong Quang Pham, Quang H. Pham, Binh T. Nguyen

Research Collection School Of Computing and Information Systems

Transfer learning plays an essential role in Deep Learning, which can remarkably improve the performance of the target domain, whose training data is not sufficient. Our work explores beyond the common practice of transfer learning with a single pre-trained model. We focus on the task of Vietnamese sentiment classification and propose LIFA, a framework to learn a unified embedding from several pre-trained models. We further propose two more LIFA variants that encourage the pre-trained models to either cooperate or compete with one another. Studying these variants sheds light on the success of LIFA by showing that sharing knowledge among the …

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Sibnet: Food Instance Counting And Segmentation, Huu-Thanh. Nguyen, Chong-Wah Ngo, Wing-Kwong Chan Apr 2022

Sibnet: Food Instance Counting And Segmentation, Huu-Thanh. Nguyen, Chong-Wah Ngo, Wing-Kwong Chan

Research Collection School Of Computing and Information Systems

Food computing has recently attracted considerable research attention due to its significance for health risk analysis. In the literature, the majority of research efforts are dedicated to food recognition. Relatively few works are conducted for food counting and segmentation, which are essential for portion size estimation. This paper presents a deep neural network, named SibNet, for simultaneous counting and extraction of food instances from an image. The problem is challenging due to varying size and shape of food as well as arbitrary viewing angle of camera, not to mention that food instances often occlude each other. SibNet is novel for …

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Fine-Grained Detection Of Academic Emotions With Spatial Temporal Graph Attention Networks Using Facial Landmarks, Hua Leong Fwa Apr 2022

Fine-Grained Detection Of Academic Emotions With Spatial Temporal Graph Attention Networks Using Facial Landmarks, Hua Leong Fwa

Research Collection School Of Computing and Information Systems

With the incidence of the Covid-19 pandemic, institutions have adopted online learning as the main lessondelivery channel. A common criticism of online learning is that sensing of learners’ affective states such asengagement is lacking which degrades the quality of teaching. In this study, we propose automatic sensing of learners’ affective states in an online setting with web cameras capturing their facial landmarks and head poses. We postulate that the sparsely connected facial landmarks can be modelled using a Graph Neural Network. Using the publicly available in the wild DAiSEE dataset, we modelled both the spatial and temporal dimensions of the …

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Algorithm Selection For The Team Orienteering Problem, Mustafa Misir, Aldy Gunawan, Pieter Vansteenwegen Apr 2022

Algorithm Selection For The Team Orienteering Problem, Mustafa Misir, Aldy Gunawan, Pieter Vansteenwegen

Research Collection School Of Computing and Information Systems

This work utilizes Algorithm Selection for solving the Team Orienteering Problem (TOP). The TOP is an NP-hard combinatorial optimization problem in the routing domain. This problem has been modelled with various extensions to address different real-world problems like tourist trip planning. The complexity of the problem motivated to devise new algorithms. However, none of the existing algorithms came with the best performance across all the widely used benchmark instances. This fact suggests that there is a performance gap to fill. This gap can be targeted by developing more new algorithms as attempted by many researchers before. An alternative strategy is …

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Metaheuristics For Time-Dependent Vehicle Routing Problem With Time Windows, Yun-C Liang, Vanny Minanda, Aldy Gunawan, Hsiang-L. Chen Apr 2022

Metaheuristics For Time-Dependent Vehicle Routing Problem With Time Windows, Yun-C Liang, Vanny Minanda, Aldy Gunawan, Hsiang-L. Chen

Research Collection School Of Computing and Information Systems

Vehicle routing problem (VRP), a combinatorial problem, deals with the vehicle’s capacity visiting a particular set of nodes while its variants attempt to fit real-world scenarios. Our study aims to minimise total travelling time, total distance, and the number of vehicles under time-dependent and time windows constraints (TDVRPTW). The harmony search algorithm (HSA) focuses on the harmony memory and pitch adjustment mechanism for new solution construction. Several local search operators and a roulette wheel for the performance improvement were verified via 56 Solomon’s VRP instances by adding a speed matrix. The performance comparison with a genetic algorithm (GA) was completed …

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Verifiable Searchable Encryption Framework Against Insider Keyword-Guessing Attack In Cloud Storage, Yinbin Miao, Robert H. Deng, Kim-Kwang Raymond Choo, Ximeng Liu, Hongwei Li Apr 2022

Verifiable Searchable Encryption Framework Against Insider Keyword-Guessing Attack In Cloud Storage, Yinbin Miao, Robert H. Deng, Kim-Kwang Raymond Choo, Ximeng Liu, Hongwei Li

Research Collection School Of Computing and Information Systems

Searchable encryption (SE) allows cloud tenants to retrieve encrypted data while preserving data confidentiality securely. Many SE solutions have been designed to improve efficiency and security, but most of them are still susceptible to insider Keyword-Guessing Attacks (KGA), which implies that the internal attackers can guess the candidate keywords successfully in an off-line manner. Also in existing SE solutions, a semi-honest-but-curious cloud server may deliver incorrect search results by performing only a fraction of retrieval operations honestly (e.g., to save storage space). To address these two challenging issues, we first construct the basic Verifiable SE Framework (VSEF), which can withstand …

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Burdening Assignees With Arbitration Agreements Via ‘Conditional Benefits’, Chee Ho Tham Apr 2022

Burdening Assignees With Arbitration Agreements Via ‘Conditional Benefits’, Chee Ho Tham

Research Collection Yong Pung How School Of Law

In this article, the author compares two concepts that seek to explain why an assignee of a chose in action may be burdened by an arbitration agreement to which it is not privy. He posits that, of the “conditional benefits” concept and the “subject to equities” principle, the latter provides the better explanation.

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Quantification Of Silver Nanoparticle Interactions With Yeast Saccharomyces Cerevisiae Studied Using Single-Cell Icp-Ms, Lindsey Rasmussen, Honglan Shi, Wenyan Liu, Katie Shannon Apr 2022

Quantification Of Silver Nanoparticle Interactions With Yeast Saccharomyces Cerevisiae Studied Using Single-Cell Icp-Ms, Lindsey Rasmussen, Honglan Shi, Wenyan Liu, Katie Shannon

Chemistry Faculty Research & Creative Works

Silver nanoparticles (AgNPs) have been used in many fields due to their anticancer, antimicrobial, and antiviral potential. Single-cell ICP-MS (SC-ICP-MS) is an emerging technology that allows for the rapid characterization and quantification of a metal analyte across a cell population in a single analysis. In this study, a new rapid and sensitive SC-ICP-MS method was developed to quantitatively study the interactions of AgNPs with yeast Saccharomyces cerevisiae. The method can quantify the cell concentration, silver concentration per cell, and profile the nanoparticle distribution in a yeast cell population. AgNP dosing time, concentration, and AgNP size were quantitatively evaluated for their …

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Internet Privacy Concerns Revisited: Oversight From Surveillance And Right To Be Forgotten As New Dimensions, Gaurav Bansal, Fiona Fui-Hoon Nah Apr 2022

Internet Privacy Concerns Revisited: Oversight From Surveillance And Right To Be Forgotten As New Dimensions, Gaurav Bansal, Fiona Fui-Hoon Nah

Research Collection School Of Computing and Information Systems

In the post-Snowden revelation era, concerns related to government surveillance and oversight have come to the forefront. The ability of the Internet to remember “everything” (or forget anything) also raises a privacy concern associated with the right to be forgotten (RTBF). In this paper, we examine the conceptualization of Internet privacy concerns (IPC) by extending Hong and Thong's (2013) model with the addition of two dimensions: oversight (i.e., due to surveillance) and the RTBF. We provide theoretical and empirical evidence for our proposed integrated conceptualization. Data were collected from Amazon's Mechanical Turk and analyzed with structural equation modeling using a …

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