- Digital Platforms and Economics
- Consumer Market Behavior and Pricing
- Auction Theory and Applications
- Firm Innovation and Growth
- ICT Impact and Policies
- Advanced DC-DC Converters
- Technology Adoption and User Behaviour
- Advanced Manufacturing and Logistics Optimization
- Big Data and Business Intelligence
- Merger and Competition Analysis
- Advanced Measurement and Detection Methods
- Advanced Algorithms and Applications
- Data Mining Algorithms and Applications
- Economic and Environmental Valuation
- Forecasting Techniques and Applications
- Innovation Policy and R&D
- Scheduling and Optimization Algorithms
- HVDC Systems and Fault Protection
- Guidance and Control Systems
- Multilevel Inverters and Converters
- Supply Chain and Inventory Management
- Economic Growth and Productivity
- Opinion Dynamics and Social Influence
- Imbalanced Data Classification Techniques
- Mathematics and Applications
National University of Singapore
2015-2024
Southeast University
2022
Changjiang Institute of Survey, Planning, Design and Research
2022
Fujian Academy of Building Research (China)
2022
Suzhou Research Institute
2022
Fiona Stanley Hospital
2020
Delft University of Technology
2014-2019
National Formosa University
2018
Beijing Institute of Technology
2008-2015
Baosteel (China)
2008-2011
Research summary : This article applies data from LinkedIn to advance strategy research into the effect of human capital on mobility engineers and scientists. Through an inventor survey, we show that provides more accurate career histories than patents. Compared , patent measures generate 12 percent false positives 83 negatives. Using review findings previous using patents track mobility. One finding is robust: higher in Silicon Valley elsewhere. Other are possibly sensitive measure or...
This study develops, implements, and evaluates a multilabel text classification algorithm called the categorical K-nearest neighbor (ML-CKNN). The proposed is designed to automatically identify 25 types of risk factors with specific meanings reported in Section 1A SEC form 10-K. idea ML-CKNN compute similarity score for each label by neighbors that category. tailored achieve goal extracting from 10Ks. can perfectly classify 74.94% 98.75% labels. Moreover, empirically shown outperform ML-KNN...
Online communities heavily rely on voluntary participation and continued engagement from users because these sites can flourish only if there are meaningful contributions community members. Gamifying the underlying incentive mechanism be a solution to elicit sustain desired user behavior. In this paper, we develop theory of gamification study impact hierarchical badges system, reward based principles, at Stack Overflow Q&A site. Specifically, assess extent which incentivized by earned in...
We embed the principal–agent model in a of spatial differentiation with correlated consumer preferences to investigate competitive implications personalized pricing and quality allocation (PPQ), whereby duopoly firms charge different prices offer qualities consumers, based on their willingness pay. Our sheds light equilibrium product‐line schedules offered by firms, given that none, one, or both implement PPQ. The adoption PPQ has three effects our model: it enables extract higher rents from...
In this paper, we analyze a model of usage pricing for digital products with discontinuous supply functions. This characterizes number information technology-based and services which variable increases in demand are fulfilled by the addition blocks computing or network infrastructure. Such goods often modeled as zero costs; fact, actual cost structure resembles mixture marginal costs positive periodic fixed costs. paper discusses properties general solution optimal nonlinear such goods. We...
This paper describes a longitudinal parameter identification procedure for small unmanned aerial vehicle (UAV) through modified particle swam optimization (PSO). The is demonstrated using UAV equipped with only an micro-electro-mechanical systems (MEMS) inertial measuring element and global positioning system (GPS) receiver to provide test information. A mathematical model derived the method proposed based on PSO selective regeneration (SRPSO). Once applied model, simulation results show...
Motivated by the pervasive discrepancy among pricing schemes of data services, this paper investigates selection metrics (variables) and corresponding plans. We construct a stylized model in which monopoly services seller faces heterogeneous consumers whose utilities depend on usage connection speed. examine three options for to conduct second-degree (indirect) price discrimination: minutes, gigabytes (Gigs), megabytes per second (Mbps). show that after-sales self-selection behaviors have...
We consider a two‐stage principal–agent screening environment in decentralized supply chain with retailers, distributors, and supplier. The retailers possess private information regarding their local market profitabilities. distributors can partially observe the retailers' profitabilities are heterogeneous regard to precision of that information. supplier determines level production, but knows neither nor distributors' first allocates finished products then contract capacity constraint. find...
Due to the increasing application of high voltage dc transmission, bidirectional converters for applications will play a key role in future power grids. The recently presented modular multilevel converter (M2DC) is new topology suitable highvoltage conversion. Two operational modes - inductive coupled mode and resistive M2DC are defined according characteristic arm impedance. Transfer functions both theoretically derived, which show that could be configured either source or current source....
To respond to disasters such as earthquakes, wildfires, and armed conflicts, humanitarian organizations require accurate timely data in the form of damage assessments, which indicate what buildings population centers have been most affected. Recent research combines machine learning with remote sensing automatically extract information from satellite imagery, reducing manual labor turn-around time. A major impediment using methods real disaster response scenarios is difficulty obtaining a...
Software as a Service (SaaS) has been one of the fastest-growing delivery models in software industry. The industry's trade press often considers economies scale main benefit SaaS firms, because information technology management and associated resources are centralized at vendors. However, also requires cost expanding firm's IT infrastructure to serve more customers. Intuitively, it is not necessary that former effect must dominate latter. Using public firm-level data from Compustat, this...
Safety helmet is an important protective tool for workers in the industrial production, and clothing worn by can play a role distinguishing other person. To solve problem of non-contact on-line monitoring to wear safety as required, this paper proposes improved-YoloV3 method intelligent detection identification algorithm. The large-size input layer added multi-scale prediction size anchor boxes adjusted enhance ability small-size clothing. algorithm not only meets real-time supervision...
On-demand computing provides a new way for companies to manage and use their IT infrastructure. This model of corporate radically changes the pay infrastructure, basing it on per rather than fixed infrastructure investments such are accustomed to. A clear theoretical understanding pricing demand is thus central viability growth this nascent industry. We contribute towards an in paper by modeling optimal on-demand while taking four critical factors into account: costs deploying in-house,...
This study develops, implements, and evaluates a multi-label text classification algorithm called the categorical K - nearest neighbor (ML-CKNN). The proposed is designed to automatically identify 25 types of risk factors with specific meanings reported in Section 1A SEC Form 10-K. idea ML-CKNN compute similarity score for each label by K-nearest neighbors that category. tailored achieve goal extracting from 10Ks. can perfectly classify 74.94% 98.75% labels. Moreover, empirically shown...
The starting salary of a fresh graduate is considered potential indicator career advancement. Yet few studies have examined the determinants salaries information technology (IT) graduates. Further, existing focused on how demographics affect either or kind job enters into, but rarely both. In this paper, we explore both and examine if entry into an IT mediates effects Our model tested using data from annual surveys undergraduate students majoring in at large public university Singapore over...
The influence of transformer parasitics to low power high voltage output flyback converter is analyzed by using the equivalent circuit, and through way simulation. Its mechanism under DCM working mode discussed from aspect flow energy, stage stage. Based on this analysis, theory balanced state brought forward, which a key design converter. Experimental results are presented show that analysis can explain circuit performance well.
In an input-series and output-parallel (ISOP) connected modular DC-DC converter, the input voltage range can be significantly increased by shutting down respective modules. Additionally, converter's efficiency at certain utilising most optimum number of operating The shutdown non-essential modules is implemented with available IGBTs in bridge Due to large amount energy stored bus capacitors especially high voltages, have controlled limit initial discharge current from capacitors. Digital...
Recently, distributed coordination control of the unmanned aerial vehicle (UAV) swarms has been a particularly active topic in intelligent system field. In this paper, through understanding emergent mechanism complex system, further research on flocking and dynamic characteristic UAV will be given. Firstly, paper analyzes current researches existent problems swarms. Afterwards, by theory stochastic process supplemented variables, differential-integral model is established, converting into...