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Articles 721 - 750 of 15937
Full-Text Articles in Entire DC Network
Merit Transference And The Paradox Of Merit Inflation, Matthew Hammerton
Merit Transference And The Paradox Of Merit Inflation, Matthew Hammerton
Research Collection School of Social Sciences
Many religious traditions and ethical systems hold that individuals accrue merit through their good intentions, acts, and character, and demerit through their bad intentions, acts, and character. This merit and demerit, accumulated by individuals throughout their lives, gives each person a kind of ethical “score” that can determine what they deserve, and influence whether good or bad things happen to them (e.g., divine punishments and rewards, a favourable or unfavourable rebirth, etc.). In some traditions (most notably Buddhism, but also to a limited extent in Hinduism, Islam, and Christianity), “merit transference” is a feature of these merit-based ethical systems. This …
Supporting Satisfaction, Satisfying Support: Bidirectional Associations Of Social Support And Life Satisfaction, Jonathan Louis Jie Sheng Chia, Andree Hartanto, William Tov
Supporting Satisfaction, Satisfying Support: Bidirectional Associations Of Social Support And Life Satisfaction, Jonathan Louis Jie Sheng Chia, Andree Hartanto, William Tov
Research Collection School of Social Sciences
Existing literature has explored the impact of social support (SS) on life satisfaction (LS). However, the reciprocal relationship—that is, the influence of LS on SS—remains understudied, despite extant theoretical support. In addressing this gap, the present study employed bivariate latent growth modeling to examine bidirectional associations between SS and LS trajectories among 8,449 middle-aged and older adults in Singapore, over seven waves spanning almost 6 years. Results provided evidence supporting the notion of bidirectional associations. Specifically, baseline SS positively predicted subsequent changes in LS, and baseline LS positively predicted subsequent changes in SS. Findings underscore the potential for interventions and …
The Moderating Role Of Trait Online Disinhibition In Exacerbating The Online Victim-Bully Cycle, Sandeeshwara K Tennakoon Appuhamillage Kasturiratna, Andree Hartanto
The Moderating Role Of Trait Online Disinhibition In Exacerbating The Online Victim-Bully Cycle, Sandeeshwara K Tennakoon Appuhamillage Kasturiratna, Andree Hartanto
Research Collection School of Social Sciences
The growth of the internet and social media as a communication platform has increased the incidence of cyberbullying victimisation. While there has been increasing research interest on the antecedents of cyberbullying perpetration, little is known on why some individuals who themself experience cyber victimisation are more likely to become cyberbullying perpetrators. Considering the large number of individuals who experience cyberbullying victimisation in the current, highly digitalised world, this trend of victims turning into bullies poses a worrisome possibility and deserves research attention. One promising individual difference that could potentially moderate the relationship between cyberbullying victimisation can lead to cyberbullying perpetration …
Accordance And Conflict Between Religious And Scientific Precautions Against Covid-19 In 27 Societies, T. Samore, D.M.T. Fessler, A.M. Sparks, C. Holbrook, L. Aarøe, C.G. Baeza, M.T. Barbato, P. Barclay, R. Berniūnas, J. Contreras-Garduño, B. Costa-Neves, M.P. Grazioso, P. Elmas, P. Fedor, Li, Norman P., R. Fernández-Morales, L. Garcia-Marques, P. Giraldo-Perez, P. Gul, F. Habacht
Accordance And Conflict Between Religious And Scientific Precautions Against Covid-19 In 27 Societies, T. Samore, D.M.T. Fessler, A.M. Sparks, C. Holbrook, L. Aarøe, C.G. Baeza, M.T. Barbato, P. Barclay, R. Berniūnas, J. Contreras-Garduño, B. Costa-Neves, M.P. Grazioso, P. Elmas, P. Fedor, Li, Norman P., R. Fernández-Morales, L. Garcia-Marques, P. Giraldo-Perez, P. Gul, F. Habacht
Research Collection School of Social Sciences
Meaning-making systems underlie perceptions of the efficacy of threat-mitigating behaviors. Religion and science both offer threat mitigation, yet these meaning-making systems are often considered incompatible. Do such epistemological conflicts swamp the desire to employ diverse precautions against threats? Or do individuals—particularly individuals who are highly reactive to threats—hedge their bets by using multiple threat-mitigating practices despite their potential epistemological incompatibility? Complicating this question, perceptions of conflict between religion and science likely vary across cultures; likewise, pragmatic features of precautions prescribed by some religions make them incompatible with some scientifically-based precautions. The COVID-19 pandemic elicited diverse precautions thus providing an opportunity …
The Return Of Chinese Emigrants: Legal Barriers And Local Practices, Jiaqi M. Liu
The Return Of Chinese Emigrants: Legal Barriers And Local Practices, Jiaqi M. Liu
Research Collection School of Social Sciences
While China has observed an increasing influx of foreign nationals, a notable phenomenon involves Chinese emigrants opting for return migration to reestablish themselves in their country of origin. The process of emigrants returning to China, referred to as “return and resettlement” (huiguo dingju 回国定居) in official terminology, however, is not automatic. Emigrant returnees must fulfill a set of selective and documentary criteria, implying that only economically affluent and duly documented migrants are permitted to resettle in China. Through a comprehensive review of national policies and an analysis of local practices in a diaspora hometown, this chapter argues that the hukou …
The Imperial Gaze: Affective Governance, Hybrid Cartography, And China’S U-Shaped Line, William A. Callahan
The Imperial Gaze: Affective Governance, Hybrid Cartography, And China’S U-Shaped Line, William A. Callahan
Research Collection School of Social Sciences
This article develops ‘the imperial gaze’ concept to explore how maps not only represent the world, but also do things in geopolitics, even provoking mass demonstrations. It examines China’s early-modern and contemporary maps to highlight how they create an imperial gaze that guides Chinese understandings of world order. If your cartographic ‘view of the world’ produces your ideological ‘worldview’, then it is important to see how China’s early-modern maps inform the PRC’s twenty-first-century claims in the South China Sea. The article argues that Chinese cartography does things in geopolitics by mobilising the affective governance of an assemblage of hybrid combinations …
Policy Evaluation With Nonlinear Trended Outcomes: Covid-19 Vaccination Rates In The United States, Lynn Bergeland Morgan, Peter C. B. Phillips, Donggyu Sul
Policy Evaluation With Nonlinear Trended Outcomes: Covid-19 Vaccination Rates In The United States, Lynn Bergeland Morgan, Peter C. B. Phillips, Donggyu Sul
Research Collection School Of Economics
This paper discusses pitfalls in two way fixed effects (TWFE) regressions when the outcome variables contain nonlinear and possibly stochastic trend components. If a policy change shifts trend paths of outcome variables, TWFE estimation can distort results and invalidate inference, especially in a context of evolving policy decisions. A robust solution is proposed by allowing for dynamic club membership empirically using a relative convergence test procedure. The determinants of respective club memberships are assessed by panel ordered logit regressions. The approach allows for policy evolution and shifts in outcomes according to a convergence cluster framework with transitions over time and …
The Decline And Transformation Of Smallholders In Chinese Agriculture: National Trends, Qian Forrest Zhang, Meiling Wu
The Decline And Transformation Of Smallholders In Chinese Agriculture: National Trends, Qian Forrest Zhang, Meiling Wu
Research Collection School of Social Sciences
Using data from official statistical sources and a nationally representative survey, we find that since 2001, China’s agricultural labor force has declined by over 50 percent—a loss of over 200 million smallholders, probably the largest in human history. This trend is the most pronounced in livestock sectors: from 2012 to 2021, 62.5 million smallholder units have disappeared. The 150 million remaining smallholders are mostly commodity producers, participating widely in commodity relations to access agrochemicals, machinery, rental land, and wage labor to produce for markets. The ageing smallholder population also face challenges in intergenerational reproduction, which will accelerate its decline.
A Multifaceted Nudge-Based Intervention To Reduce Smartphone Use: Findings From A Randomized Cross-Over Trial, K. T. A. Sandeeshwara Kasturiratna, Yi Jing Chua, Andree Hartanto
A Multifaceted Nudge-Based Intervention To Reduce Smartphone Use: Findings From A Randomized Cross-Over Trial, K. T. A. Sandeeshwara Kasturiratna, Yi Jing Chua, Andree Hartanto
Research Collection School of Social Sciences
The widespread use of smartphones has raised concerns about problematic usage behaviors, including excessive screentime and frequent phone checking, which can disrupt daily functioning. This study aimed to evaluate the effectiveness of a multifaceted nudge-based intervention in reducing smartphone use through subtle changes to smartphone settings. The intervention incorporated adjustments such as disabling face/touch ID, setting longer passwords, switching to grayscale mode, and removing social media apps from the home screen. A randomized within-subject cross-over trial with counterbalancing was conducted over a two-week period using a daily diary approach paired with objective smartphone usage data to track the impact of …
Prevalence Of Depression, Anxiety, Burden, Burnout, And Stress In Informal Caregivers: An Umbrella Review Of Meta-Analyses, Xun Ci Soh, Andree Hartanto, Naoki Ling, Mayr Reyes, Lester Sim, Nadyanna M. Majeed
Prevalence Of Depression, Anxiety, Burden, Burnout, And Stress In Informal Caregivers: An Umbrella Review Of Meta-Analyses, Xun Ci Soh, Andree Hartanto, Naoki Ling, Mayr Reyes, Lester Sim, Nadyanna M. Majeed
Research Collection School of Social Sciences
Informal caregiving is a physically and emotionally taxing role that has a profound impact on caregivers’ emotional and mental well-being. Previous research has examined the mental health of caregivers and found elevated levels of depression, anxiety, burden, burnout, or stress. However, the global rates of the five mental health factors and/or outcomes (i.e., depression, anxiety, burden, burnout, and stress) among caregivers remain largely unclear. Therefore, this umbrella review examines the prevalence of these factors and/or outcomes, including various subgroup factors, such as gender, medical and/or psychological condition of the care recipient, region, and assessment tools. A systematic search was conducted …
Speculative Bubbles In The Recent Ai Boom: Nasdaq And The Magnificent Seven, Rerotlhe B. Basele, Peter C. B. Phillips, Shuping Shi
Speculative Bubbles In The Recent Ai Boom: Nasdaq And The Magnificent Seven, Rerotlhe B. Basele, Peter C. B. Phillips, Shuping Shi
Research Collection School Of Economics
The recent artificial intelligence (AI) boom covers a period of rapid innovation and wide adoption of AI intelligence technologies across diverse industries. These developments have fueled an unprecedented frenzy in the Nasdaq, with AI-focused companies experiencing soaring stock prices that raise concerns about speculative bubbles and real-economy consequences. Against this background, this study investigates the formation of speculative bubbles in the Nasdaq stock market with a specific focus on the so-called Magnificent Seven (Mag-7) individual stocks during the AI boom, spanning the period from January 2017 to January 2025. We apply the real-time PSY bubble detection methodology of Phillips et …
Learning Camp, Language Of Instruction, And Education Outcomes: Evidence From A Field Experiment In Malawi, Hyuncheol Bryant. Kim, Kim
Learning Camp, Language Of Instruction, And Education Outcomes: Evidence From A Field Experiment In Malawi, Hyuncheol Bryant. Kim, Kim
Research Collection School Of Economics
We conducted a randomized experiment to study the impacts of a summer learning camp and the language of instruction on education outcomes. The program, covering social studies and mathematics, provided additional high-quality learning time for 4th and 5th graders in Malawi. The program significantly increased test scores in social studies and mathematics (0.24–0.36 standard deviations). We find suggestive evidence that the impact on test scores in social studies was greater for students instructed in Chichewa, the local language, than for those instructed in English. However, we find no such evidence of differential impacts on test scores in mathematics by the …
(When) Can Trade Wars Be Good?, Henry S. Gao, Weihuan Zhou
(When) Can Trade Wars Be Good?, Henry S. Gao, Weihuan Zhou
Research Collection Yong Pung How School Of Law
‘Trade wars are good, and easy to win,’ tweeted Donald Trump in 2018. The US–China trade war that followed proved otherwise – especially when confronting a major economic power. Yet, can trade wars ever be good? While the academic consensus holds they harm all participants, we argue that under certain circumstances they can produce positive outcomes. Set against the backdrop of the Liberation Day tariffs announced on April 2, 2025, this paper examines the limits of the Ricardian free trade model underpinning the current multilateral trading system, identifies when trade wars may serve strategic goals, and explores alternative rules to …
Government Vicarious Liability And The Concept Of Deemed Equality With Private Persons, Gary K. Y. Chan
Government Vicarious Liability And The Concept Of Deemed Equality With Private Persons, Gary K. Y. Chan
Research Collection Yong Pung How School Of Law
The immunity against Crown liability was abolished in the United Kingdom in 1948 based on the Diceyan notion of rule of law and deemed equality under the law between public officials and private persons. This paper analyses government vicarious liability in respect of the acts and omissions of public officers under the Singapore Government Proceedings Act with reference to the concept of deemed equality. We will discuss the scope of the statute in light of recent common law developments in vicarious liability, statutory exceptions to government vicarious liability that may be justified by the functions of the government in the …
Guiding Multiple Remote Users In Physical Tasks With Language-Driven Robotic Telepresence, Ruyi Li, Jingfei Guo, Xinyi Zhang, Xuji Zhang, Zeqing Li, Jiannan Li, Jiangtao Gong
Guiding Multiple Remote Users In Physical Tasks With Language-Driven Robotic Telepresence, Ruyi Li, Jingfei Guo, Xinyi Zhang, Xuji Zhang, Zeqing Li, Jiannan Li, Jiangtao Gong
Research Collection School Of Computing and Information Systems
Remote assistance through robotic telepresence could involve both control and memory challenges, particularly in one expert to multiple workers situation. In this work, we proposed a novelty language-driven interface to facilitate remote collaboration through telepresence robots. Through operations and maintenance expert interviews and a scenario simulation study, we identified key pain points in executing one-expert-multiple-workers remote guidance using the telepresence robot and proposed two design goals, which together consist of five sub-design goals with corresponding features. These features were integrated into a standard telepresence robot, resulting in the development of a Collaborative LLM-based Embodied Assistant Robot, named CLEAR Robot. A …
A Settlement By “Any Other Name”: Evaluating The Sustainability Of Settlement Mechanisms, Dorcas Quek Anderson
A Settlement By “Any Other Name”: Evaluating The Sustainability Of Settlement Mechanisms, Dorcas Quek Anderson
Research Collection Yong Pung How School Of Law
Private settlements have been consistently encouraged by the Singapore civil justice system. Depending on the context, the settlement may take on many forms, including consent orders and settlement agreements. This begs the question of whether the exact form of settlement matters, or whether a settlement “by any other name” suffices. This article proposes the concept of “sustainable settlements” – comprising the measures of ease of enforcement, finality, and confidentiality – to holistically appraise the effectiveness of settlement mechanisms. The assessment of six settlement mechanisms using these measures clearly indicates that not every mechanism is equally sustainable. Exploring settlement amidst the …
A Difficult Act To Maintain, J.G. Allen
A Difficult Act To Maintain, J.G. Allen
Research Collection Yong Pung How School Of Law
In "Where is Singapore's AI regulation headed?" (Issues, Summer 2025), Manoj Harjani starts by recounting its delicate balancing act in governing artificial intelligence. The city-state is able to maintain credibility on the global stage while remaining pragmatically grounded in technical experimentation, maintaining policy realism without overcommitting to rigid legal frameworks. The choice to adopt a regulatory “light touch” is often framed as a way to maintain flexibility, avoid overregulation, and enable innovation. But this obscures the extent to which this posture is itself a political and economic settlement—one that reinforces Singapore’s position in the global digital economy by facilitating capital …
Death Penalty For Drug Offenders In Southeast Asia: Weakening Of Resistance To Change?, Wing Cheong Chan
Death Penalty For Drug Offenders In Southeast Asia: Weakening Of Resistance To Change?, Wing Cheong Chan
Research Collection Yong Pung How School Of Law
Although the global movement towards abolition of the death penalty has been supported by an increasing number of countries in the world, the number of persons executed for drug offences actually increased in the last few years. Known executions for drug offences now account for more than 40 per cent of all global executions. Most such executions take place in Asia. Of the 34 countries in the world that still retain the death penalty for drug offenders, all nine of those identified as “high application states” (China, Indonesia, Iran, Kuwait, Malaysia, North Korea, Saudi Arabia, Singapore and Vietnam) are found …
Bridging The Great Wall: China’S Evolving Cross-Border Data Flow Policies And Implications For Global Data Governance, Sheng Zhang, Henry S. Gao
Bridging The Great Wall: China’S Evolving Cross-Border Data Flow Policies And Implications For Global Data Governance, Sheng Zhang, Henry S. Gao
Research Collection Yong Pung How School Of Law
Despite the rapid expansion of the digital economy, the global regulatory framework for data flows remains fragmented, with countries adopting divergent approaches shaped by their own regulatory priorities. As a key player in the Internet economy, China’s approach to cross-border data flows (CBDF) not only defines its domestic digital landscape but also influences emerging global norms. This paper takes a comprehensive view of the evolution of China’s CBDF regime, examining its development through both domestic and international lenses. Domestically, China’s regulation of CBDF has evolved from a security-first approach to one that seeks to balance security with economic development. This …
What Are The Limits To Smart Innovation? The Digital Underground Initiative And New Frontiers Of “Smartness” In Singapore, Prerona Das, Orlando Woods, Lily Kong
What Are The Limits To Smart Innovation? The Digital Underground Initiative And New Frontiers Of “Smartness” In Singapore, Prerona Das, Orlando Woods, Lily Kong
Research Collection College of Integrative Studies
This paper argues that the emergence of new frontiers of smart transformation, such as underground spaces, can pose significant challenges to the implementation of “smart” technological solutions. Exploring the case of Singapore’s Digital Underground initiative, we show that elements such as material complexity, co-ordination between stakeholders, and the availability of appropriate regulatory and administrative frameworks can problematize the implementation of subterranean smart initiatives. By considering multistake-holder perspectives on these “more-than-technological” factors, this paper offers lessons for urban planners, policymakers, and developers in cities around the world that are keen to leverage technology to unlock the potential of underground space.
Public Support For And Reactive Behavior Toward Technological Risk Interventions: An Extension Of Secondary Risk Theory, Hye Kyung Kim, Rui Gu, Fiona Goh, Sonny Rosenthal, Shirley S. Ho
Public Support For And Reactive Behavior Toward Technological Risk Interventions: An Extension Of Secondary Risk Theory, Hye Kyung Kim, Rui Gu, Fiona Goh, Sonny Rosenthal, Shirley S. Ho
Research Collection College of Integrative Studies
Project Wolbachia is a dengue control initiative in Singapore. Guided by Secondary Risk Theory, this study examined how primary (dengue) and secondary (Wolbachia) threat and coping appraisals shape public support and reactive behavior toward the project. A nationally representative survey of 1,000 Singaporeans showed that support was positively linked to the perceived primary risk, the efficacy of the project and the government, while negatively related to the perceived secondary risk. Reactive behavior was positively associated with perceptions of both primary and secondary risk. Media attention and trust in the government indirectly influenced support and behavior moderated by knowledge.
Optimal Abort Policy For Mission-Critical Systems Under Imperfect Condition Monitoring, Qiuzhuang Sun, Jiawen Hu, Zhi-Sheng Ye
Optimal Abort Policy For Mission-Critical Systems Under Imperfect Condition Monitoring, Qiuzhuang Sun, Jiawen Hu, Zhi-Sheng Ye
Research Collection College of Integrative Studies
Although most on-demand mission-critical systems are engineered to be reliable to support critical tasks, occasional failures may still occur during missions. To increase system survivability, a common practice is to abort the mission before an imminent failure. We consider optimal mission abort for a system whose deterioration follows a general three-state (normal, defective, failed) semi-Markov chain. The failure is assumed self-revealed, whereas the healthy and defective states have to be inferred from imperfect condition-monitoring data. Because of the non-Markovian process dynamics, optimal mission abort for this partially observable system is an intractable stopping problem. For a tractable solution, we introduce …
Banking On Incumbents: How Do Fintech Start-Ups Benefit From Collaborations, Theodor Florian Cojoianu, Pia Helbing, Vladimir Pazitka, Dariusz Wojcik, Beiyun Xiao
Banking On Incumbents: How Do Fintech Start-Ups Benefit From Collaborations, Theodor Florian Cojoianu, Pia Helbing, Vladimir Pazitka, Dariusz Wojcik, Beiyun Xiao
Research Collection College of Integrative Studies
We investigate whether collaborations with established incumbents bolster innovation and access to capital for FinTech start-ups. Collaborations increase patent applications and raise both short-and long-term citations. Collaborations with finance incumbents stimulate finance and technology citations and boost both short-and long-horizon venture capital fundraising. These effects persist after addressing endogeneity and conducting additional robustness tests. Theoretically, our findings test the resource based theory in the FinTech ecosystem and enrich the open innovation literature by showing that, despite power asymmetries, FinTech start-ups can sustain innovative momentum and capture innovation gains via collaborations with incumbents. Collaborations function as credible signals that confer capital …
Iot Sensors As A Tool For Assessing Spatiotemporal Risk To Extreme Heat, Kijin Seong, Seung Jun Choi, Junfeng Jiao
Iot Sensors As A Tool For Assessing Spatiotemporal Risk To Extreme Heat, Kijin Seong, Seung Jun Choi, Junfeng Jiao
Research Collection College of Integrative Studies
The safety of urban populations sensitive to extreme heat is under increasing threat. Few studies examine the potential benefits of deploying IoT environmental sensors in the urban context and their integration with large-scale human activity data. This paper examines the deployment of IoT sensors in high-resolution extreme heat risk assessment in the case of Seoul, South Korea. This study conducted spatiotemporal analysis on heat exposure with IoT sensors, compared it with an existing land surface temperature map for validation, combined it with human activity data for risk assessment, and finally discussed the benefits of IoTs in detecting abnormal weather events. …
The Cool, Quiet City Machine Learning Competition: Overview And Results, Clayton Miller, M. Ibrahim, I.S. Akbar, B. Picchetti, Y.X. Chua, M. Frei, F. Biljecki, A. Chong, M. Quintana, C. Fu
The Cool, Quiet City Machine Learning Competition: Overview And Results, Clayton Miller, M. Ibrahim, I.S. Akbar, B. Picchetti, Y.X. Chua, M. Frei, F. Biljecki, A. Chong, M. Quintana, C. Fu
Research Collection College of Integrative Studies
The prediction of thermal and noise-based preferences in the urban context is valuable in characterizing interventions to mitigate the challenges of health, productivity, and satisfaction of urban dwellers. The growth of crowd-sourced data and data-driven techniques provides an opportunity to increase the understanding of which machine learning models are most accurate and applicable for this context. This paper outlines the results of a machine learning competition aiming to enhance the accuracy of predicting human comfort in the city context. The competition asks contestants to use contextual data to predict noise distraction and thermal preference in various indoor and outdoor spaces. …
A Commitment Rule For Insolvency Forum: A Response To Critics, Anthony J. Casey, Aurelio Gurrea-Martinez, Robert K. Rasmussen
A Commitment Rule For Insolvency Forum: A Response To Critics, Anthony J. Casey, Aurelio Gurrea-Martinez, Robert K. Rasmussen
Research Collection Yong Pung How School Of Law
On September 14, 2023, we sent a letter to the Secretariat of the United Nations Commission on International Trade Law (“UNCITRAL”) Working Group V (Insolvency) expressing our concern about the concept of “Center of Main Interest” (“COMI”) adopted in the Model Law on Cross-Border Insolvency (“Model Law”).1 We noted that the concept of COMI presents various weaknesses.
Recurrent Autoregressive Linear Model For Next-Basket Recommendation, Tereza Zmeskalova, Antoine Ledent, Martin Spisak, Pavel Kordik, Rodrigo Alves
Recurrent Autoregressive Linear Model For Next-Basket Recommendation, Tereza Zmeskalova, Antoine Ledent, Martin Spisak, Pavel Kordik, Rodrigo Alves
Research Collection School Of Computing and Information Systems
Next-basket recommendation aims to predict the (sets of) items that a user is most likely to purchase during their next visit, capturing both short-term sequential patterns and long-term user preferences. However, effectively modeling these dynamics remains a challenge for traditional methods, which often struggle with interpretability and computational efficiency, particularly when dealing with intricate temporal dependencies and inter-item relationships. In this paper, we propose ReALM, a Recurrent Autoregressive Linear Model that explicitly captures temporal item-to-item dependencies across multiple time steps. By leveraging a recurrent loss function and a closed-form optimization solution, our approach offers both interpretability and scalability while maintaining …
Storage Location Optimization In Automated Storage And Retrieval Systems: A Deep Reinforcement Learning Approach, Lingjun Wang, Aldy Gunawan, Pieter Vansteenwegen
Storage Location Optimization In Automated Storage And Retrieval Systems: A Deep Reinforcement Learning Approach, Lingjun Wang, Aldy Gunawan, Pieter Vansteenwegen
Research Collection School Of Computing and Information Systems
This study investigates the optimization of storage location in automated storage and retrieval systems (AS/RS). We introduce an optimization approach based on the Deep Q-Network (DQN) algorithm to enhance warehouse task efficiency and minimize stacker travel during storage and retrieval. To accelerate the algorithm training process, we integrate a prioritized experience replay mechanism. Furthermore, we decouple action selection from value estimation within the DQN framework to address the issue of value overestimation. The proposed model is evaluated against three heuristic methods. The experimental results demonstrate that our approach significantly outperforms these baselines.
Learning Orientation Field For Osm-Guided Autonomous Navigation, Yuming Huang, Wei Gao, Zhiyuan Zhang, Maani Ghaffari, Dezhen Song, Cheng-Zhong Xu, Hui Kong
Learning Orientation Field For Osm-Guided Autonomous Navigation, Yuming Huang, Wei Gao, Zhiyuan Zhang, Maani Ghaffari, Dezhen Song, Cheng-Zhong Xu, Hui Kong
Research Collection School Of Computing and Information Systems
OpenStreetMap (OSM) has gained popularity recently in autonomous navigation due to its public accessibility, lower maintenance costs, and broader geographical coverage. However, existing methods often struggle with noisy OSM data and incomplete sensor observations, leading to inaccuracies in trajectory planning. These challenges are particularly evident in complex driving scenarios, such as at intersections or facing occlusions. To address these challenges, we propose a robust and explainable two-stage framework to learn an Orientation Field (OrField) for robot navigation by integrating LiDAR scans and OSM routes. In the first stage, we introduce a novel representation, OrField, which can provide orientations for each …
Probabilistic Modeling, Learnability And Uncertainty Estimation For Interaction Prediction In Movie Rating Datasets, Jennifer Poernomo, Nicole Gabrielle Lee Tan, Rodrigo Alves, Antoine Ledent
Probabilistic Modeling, Learnability And Uncertainty Estimation For Interaction Prediction In Movie Rating Datasets, Jennifer Poernomo, Nicole Gabrielle Lee Tan, Rodrigo Alves, Antoine Ledent
Research Collection School Of Computing and Information Systems
In this paper, we examine the hypothesis that the interactions recorded in many Recommendation Systems datasets are distributed according to a low-rank distribution, i.e. a mixture of factorizable distributions. Surprisingly, we find that on several popular datasets, a simple non-negative matrix factorization method equals or outperforms more modern methods such as LightGCN, which indicates that the sampling distribution over interactions is indeed low-rank. Furthermore, we mathematically prove that low-rank distributions are learnable with a sparse number of observations (where m/n and r refer to the number of users/items and the non-negative rank respectively) both in terms of the total variation …