Ruwen Qin

Ruwen Qin
Stony Brook University | Stony Brook · Department of Civil Engineering

Ph.D.

About

84
Publications
18,823
Reads
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870
Citations
Citations since 2017
50 Research Items
773 Citations
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2017201820192020202120222023050100150200

Publications

Publications (84)
Article
The autonomous truck-mounted attenuator (ATMA) system is a lead–follower vehicle system based on autonomous driving and connected vehicle technologies. The lead truck performs maintenance tasks on the road, and the unmanned follower truck alerts passing vehicles about the moving work zone and protects workers and the equipment. While the ATMA has b...
Article
Audio commands are a preferred communication medium to keep inspectors in the loop of civil infrastructure inspection performed by a semi-autonomous drone. To understand job-specific commands from a group of heterogeneous and dynamic inspectors, a model must be developed cost-effectively for the group and easily adapted when the group changes. This...
Preprint
Full-text available
Aerial robots such as drones have been leveraged to perform bridge inspections. Inspection images with both recognizable structural elements and apparent surface defects can be collected by onboard cameras to provide valuable information for the condition assessment. This article aims to determine a suitable deep neural network (DNN) for parsing mu...
Preprint
The vast network of bridges in the United States raises a high requirement for its maintenance and rehabilitation. The massive cost of manual visual inspection to assess the conditions of the bridges turns out to be a burden to some extent. Advanced robots have been leveraged to automate inspection data collection. Automating the segmentations of m...
Article
Over 600 000 bridges in the U.S. must be inspected every two years to identify flaws, defects, or potential problems that may need follow-up maintenance. Bridge inspection has adopted unmanned aerial vehicles (or drones) for improving safety, efficiency, and cost-effectiveness. Although drones can operate in an autonomous mode, keeping inspectors i...
Preprint
The Autonomous Truck-Mounted Attenuator (ATMA) system is a lead-follower vehicle system based on autonomous driving and connected vehicle technologies. The lead truck performs maintenance tasks on the road, and the unmanned follower truck is designed to improve the visibility of the moving work zone to passing vehicles and to protect workers and eq...
Preprint
Audio commands are a preferred communication medium to keep inspectors in the loop of civil infrastructure inspection performed by a semi-autonomous drone. To understand job-specific commands from a group of heterogeneous and dynamic inspectors, a model needs to be developed cost-effectively for the group and easily adapted when the group changes....
Article
The rapid advancement of sensor technologies and artificial intelligence are creating new opportunities for traffic safety enhancement. Dashboard cameras (dashcams) have been widely deployed on both human driving vehicles and automated driving vehicles. A computational intelligence model that can accurately and promptly predict accidents from the d...
Article
Traffic accident anticipation is a vital function of Automated Driving Systems (ADS) in providing a safety-guaranteed driving experience. An accident anticipation model aims to predict accidents promptly and accurately before they occur. Existing Artificial Intelligence (AI) models of accident anticipation lack a human-interpretable explanation of...
Article
Future action anticipation aims to infer future actions from the observation of a small set of past video frames. In this paper, we propose a novel Jointly-learnt Action Anticipation Network (J-AAN) via Self-Knowledge Distillation (Self-KD) and cycle consistency for future action anticipation. In contrast to the current state-of-the-art methods whi...
Preprint
Full-text available
Human Activity Recognition (HAR) using wearable devices such as smart watches embedded with Inertial Measurement Unit (IMU) sensors has various applications relevant to our daily life, such as workout tracking and health monitoring. In this paper, we propose a novel attention-based approach to human activity recognition using multiple IMU sensors w...
Article
Full-text available
The rapid advancements of connected and autonomous vehicle (CAV) technologies, although possibly years away from wide application to the general public travel, are receiving attention from many State Departments of Transportation (DOT) in a niche area of using Autonomous Maintenance Technology (AMT) to reduce fatalities of DOT workers in work zone...
Preprint
Full-text available
Bridge inspection is an important step in preserving and rehabilitating transportation infrastructure for extending their service lives. The advancement of mobile robotic technology allows the rapid collection of a large amount of inspection video data. However, the data are mainly images of complex scenes, wherein a bridge of various structural el...
Preprint
Full-text available
Reducing traffic fatalities and serious injuries is a top priority of the US Department of Transportation. The computer vision (CV)-based crash anticipation in the near-crash phase is receiving growing attention. The ability to perceive fatal crash risks earlier is also critical because it will improve the reliability of crash anticipation. Yet, an...
Preprint
Full-text available
Over 600,000 bridges in the U.S. must be inspected every two years to identify flaws, defects, or potential problems that may need follow-up maintenance. An aerial robotic technology, Unmanned Aerial Vehicles (drones), has been adopted for bridge inspection for improving safety, efficiency, and cost-effectiveness. Although drones have an autonomous...
Preprint
Full-text available
Enhancing roadway safety is a priority of transportation. Hence, Artificial Intelligence (AI)-powered crash anticipation is receiving growing attention, which aims to assist drivers and Automated Driving Systems (ADSs) in avoiding crashes. To gain the trust from ADS users, it is essential to benchmark the performance of AI models against humans. Th...
Preprint
Full-text available
Traffic accident anticipation is a vital function of Automated Driving Systems (ADSs) for providing a safety-guaranteed driving experience. An accident anticipation model aims to predict accidents promptly and accurately before they occur. Existing Artificial Intelligence (AI) models of accident anticipation lack a human-interpretable explanation o...
Article
Full-text available
Real-time Action Recognition (ActRgn) of assembly workers can timely assist manufacturers in correcting human mistakes and improving task performance. Yet, recognizing worker actions in assembly reliably is challenging because such actions are complex and fine-grained, and workers are heterogeneous. This paper proposes to create an individualized s...
Preprint
Full-text available
Recently, autonomous vehicles and those equipped with an Advanced Driver Assistance System (ADAS) are emerging. They share the road with regular ones operated by human drivers entirely. To ensure guaranteed safety for passengers and other road users, it becomes essential for autonomous vehicles and ADAS to anticipate traffic accidents from natural...
Preprint
Full-text available
To assist human drivers and autonomous vehicles in assessing crash risks, driving scene analysis using dash cameras on vehicles and deep learning algorithms is of paramount importance. Although these technologies are increasingly available, driving scene analysis for this purpose still remains a challenge. This is mainly due to the lack of annotate...
Article
Bridge inspection is an important step in preserving and rehabilitating transportation infrastructure for extending their service lives. The advancement of mobile robotic technology allows the rapid collection of a large amount of inspection video data. However, the data are mainly the images of complex scenes, wherein a bridge of various structura...
Article
Reducing traffic fatal crashes has been an important mission of transportation. With the rapid development of sensor and Artificial Intelligence (AI) technologies, the computer vision (CV)-based crash anticipation in the near-crash phase is receiving growing attention. The ability to perceive fatal crash risks in an early stage is of paramount impo...
Article
We Introduce a simple yet effective network that embeds a novel Discriminative Feature Pooling (DFP) mechanism and a novel Video Segment Attention Model (VSAM), for video-based human action recognition from both trimmed and untrimmed videos. Our DFP module introduces an attentional pooling mechanism for 3D Convolutional Neural Networks that attenti...
Article
Full-text available
Mobile and slow-moving operations, such as striping, sweeping, bridge flushing, and pothole patching, are critical for efficient and safe operation of a highway transportation system. However, reducing hazards for roadway workers and achieving a safer environment for both roadway maintenance operators and the public have been a challenging problem....
Article
High penetrations of photovoltaic (PV) in distributed networks lead to negative impacts such as voltage violations, which is getting worse when large-scale distributed PV systems come into picture. Due to deficiencies involved in traditional voltage regulation devices (TVRDs), energy storage systems, especially the distributed energy storage (DES)...
Article
Full-text available
Various demand response programs have been widely established by many utility companies as a critical load management tool to balance the demand and supply for the enhancement of power system stability in smart grid. While participating in these demand response programs, manufacturers need to develop their optimal demand response strategies so that...
Article
Assembly carries paramount importance in manufacturing. Being able to support workers in real time to maximize their positive contributions to assembly is a tremendous interest of manufacturers. Human action recognition has been a way to automatically analyze and understand worker actions to support real-time assistance for workers and facilitate w...
Article
The automated track inspection is one of the most common inspection methods used to monitor the health of the rail tracks. Automated inspection is commonly carried out by vehicles equipped with technology capable of ultrasonic track inspection. Scheduling an automated inspection vehicle is, therefore, crucial to optimize the safety benefits achieve...
Article
Full-text available
Inspection and preservation of the aging bridges to extend their service life has been recognized as one of the important tasks of the State Departments of Transportation. Yet manual inspection procedure is not efficient to determine the safety status of the bridges in order to facilitate the implementation of appropriate maintenance. In this paper...
Article
Full-text available
In a human-centered intelligent manufacturing system, every element is to assist the operator in achieving the optimal operational performance. The primary task of developing such a human-centered system is to accurately understand human behavior. In this paper, we propose a fog computing framework for assembly operation recognition, which brings c...
Article
Co-fermentation of cellulosic biomass and grain to produce bioethanol has been proposed to integrate first- and second-generation biofuel production technologies. This method can relieve the food versus fuel competition due to the use of edible matter of crop in first-generation biofuel production. It can also boost the low ethanol concentration an...
Article
Manufacturing activities dominate the energy consumption and greenhouse emissions of the industrial sector. With the increasing concerns of greenhouse gas (GHG) emissions and climate change in recent years, the significance of the performance in terms of sustainability of manufacturing has been gradually recognized by both academia and industry. Va...
Article
Full-text available
Training and on-site assistance is critical to help workers master required skills, improve worker productivity, and guarantee the product quality. Traditional training methods lack worker-centered considerations that are particularly in need when workers are facing ever-changing demands. In this study, we propose a worker-centered training & assis...
Article
The inspection of transmission line using suspended based robots has drawn great attention from many utility companies. Such an emerging smart technology has the advantages of energy efficiency, cost effectiveness, safety, non-service interruption, and the potential of substituting for the traditional inspection method using linemen with the help o...
Article
Full-text available
In the environment of industry 4.0, human beings are still an important influencing factor of efficiency and quality which are the core of product life cycle management. Hence, monitoring and analyzing humans’ actions are essential. This paper proposes a vision sensor based method to evaluate the accuracy of operators’ actions. Each action of opera...
Article
Full-text available
In today’s competitive production era, the ability to identify and track important objects in a near real-time manner is greatly desired among manufacturers who are moving towards the streamline production. Manually keeping track of every object in a complex manufacturing plant is infeasible; therefore, an automatic system of that functionality is...
Article
Full-text available
Production innovations are occurring faster than ever. Manufacturing workers thus need to frequently learn new methods and skills. In fast changing, largely uncertain production systems, manufacturers with the ability to comprehend workers’ behavior and assess their operation performance in near real-time will achieve better performance than peers....
Article
In recent years, providing green and reliable energy supply to islands has appeared in the strategic plans of many countries. This paper introduces three representative island microgrids that have been built and are operating in the East China Sea. Key technologies of the island microgrids are discussed, including the analysis of island resources a...
Article
The rapid development of microgrid (MG) has made it ready to connect multiple MGs for providing regional power supply. The energy management of a multi-microgrid (MMG) system is the key to the reliable, economic operation of the interconnected power system. The MMG system is rich in distributed generation sources. The intermittence and volatility o...
Article
Full-text available
Uncertainties from multiple generation resources and loads have introduced tremendous challenges to the optimal dispatch of microgrids. This paper presents a novel two-stage min-max-min robust optimal dispatch model for a representative islanded AC/DC hybrid microgrid that faces uncertainties in renewable energy generation and customer loads. The f...
Chapter
The objective of this chapter is to create a methodology to model the emergent behavior during a disruption in the transportation system and that calculates economic losses due to such a disruption, and to understand how an extreme event affects the road transportation network. The chapter discusses a system dynamics approach which is used to model...
Article
Full-text available
Coordinating the constituent systems of a system of systems (SoS) in operations is an important task for functionalizing the SoS. The choice of a coordinating strategy needs to consider the autonomy, belonging, and connectivity levels of constituent systems. The diversity and emergence characteristics of SoS are outcomes of coordination. This paper...
Article
Full-text available
Flexibility is a highly desired attribute of many systems operating in changing or uncertain conditions. This paper presents a study of enabling flexibility through designing and operating systems of systems (SoSs). The paper analyzes flexibility mechanisms of SoSs and, accordingly, identifies needs for flexibility that SoSs can meet. Following tha...
Article
The nano-manipulation approach that combines Focused Ion Beam (FIB) milling and various imaging and probing techniques enables researchers to investigate the cellular structures in three dimensions. Such fusion approach, however, requires extensive effort on locating and examining randomly-distributed targets due to limited Field of View (FOV) when...
Conference Paper
Full-text available
In this study, we analyze and compare driver responses to alternative lane shift signs using a driving simulation system. In particular, we compare driver responses to the lane shift sign proposed by the Missouri Department of Transportation (MoDOT) to the current lane shift sign recommended by the Manual on Uniform Traffic Control Devices (MUTCD)....
Technical Report
Full-text available
Improving work zone road safety is an issue of great interest due to the high number of crashes observed in work zones. Departments of Transportation (DOTs) use a variety of methods to inform drivers of upcoming work zones. One method used by DOTs is work zone signage configuration. It is necessary to evaluate the efficiency of different configurat...
Article
In the acquisition of acknowledged system of systems (SoSs), the SoS manager attempts to reach a coalition agreement with each of selected constituent systems. When the systems have self-interests that are incompatible with the SoS's goal, contract negotiation is a way of resolving conflicts. Complexity of the acknowledged SoS acquisition makes the...
Article
Purpose – As the complexity of the multi-component products increases the quality of these products becomes increasingly difficult to control throughout the supply chain. The first step to manufacturing a quality product is to ensure that the product components from suppliers meet specifications. Product quality can be controlled through sampling i...
Article
Full-text available
The dynamic planning for a system-of-systems is a challenging endeavor. Department of Defense (DoD) programs constantly face challenges to incorporate new systems and upgrade existing systems over a period of time under threats, constrained budget, and uncertainty. It is therefore necessary for the DoD to be able to look at the future scenarios and...
Article
This paper proposes a nonlinear integer program for determining an optimal plan of zero-defect, single-sampling by attributes for incoming inspections in assembly lines. Individual parts coming to an assembly line differ in the non-conforming (NC) risk, NC severity, lot size, and inspection cost-effectiveness. The proposed optimization model is abl...
Article
In this paper, we study the optimal procurement and operation of an oil refinery. The crude oil prices follow geometric Brownian motion processes with correlation. We build a multiperiod inventory problem where each period involves an operation problem such as separation or blending. The decisions are the amount of crude oils to purchase and the am...
Conference Paper
Full-text available
Track inspection, specifically automated ultrasonic inspections of railroad tracks, is one of the most important safety operations that State Department of Transportation and railroad companies need to plan. This study analyzes a track inspection scheduling problem (T ISP) considering the practical constraints and objectives of track inspections. T...
Article
Full-text available
LEDs (light-emitting diodes) have been widely adopted for use within traffic signals, recently replacing incandescent bulbs. LEDs degrade slowly - unlike incandescent bulbs that fail catastrophically. When the luminous intensity of LEDs falls below a pre-specified threshold, they pose danger to traffic. The long-term performance and degradation rat...
Article
Strategies for implementing alternative energy sources are drawing growing attention as global environmental and other challenges raise concerns over energy consumption. Cost-effectiveness is an important criterion for assessing strategy applicability. Currently, few economic studies have been performed on alternative energy in a systematic approac...
Technical Report
Full-text available
This project identifies metrics for measuring the benefit of rail infrastructure projects for key stakeholders. It is important that stakeholders with an interest in community economic development play an active role in the development of the rail network. Economic development activities in both rural and urban settings are essential if a nation is...
Conference Paper
Full-text available
Improving work zone road safety is an issue of great interest due to the high number of crashes observed in work zones. Departments of Transportation (DOTs) use a variety of methods to inform drivers of upcoming work zones. One method used by DOTs is work zone signage configuration. It is necessary to evaluate the efficiency of different configurat...
Article
This paper proposes a double-sided flexibility in adjusting the lease price as an alternative, more accessible tool for managing revenues or controlling costs in volatile markets. The double-sided flexibility addresses the dilemma of allowing only one party of a lease contract to have the price adjustment flexibility while both parties want it. Alt...
Article
In volatile lease markets, a fixed rate contract may allow one contract party to gain excessive profits while letting the other party face substantial losses. The flexibility in adjusting the contract rate can help address this issue and maintain a fair long-term relationship. This article models and prices the flexibility using real options and de...
Article
The application of Light Emitting Diode (LED) lighting systems has experienced significant growth in the transportation sector over the past 10 years. LED indication lifespans have significantly greater durations than previous technologies, however, uncertainties in the duration of LED devices have unearthed challenges in developing a replacement s...
Conference Paper
Studying the behavior of fruit flies that mimic normal animal motivations can inform us about the molecular mechanisms and biochemical pathways. We build a glass chamber to house flies and record their behaviors in video frame sequences. Due to the challenges of low image contrast, small object size and fast object motion, we propose an adaptive Lo...
Article
A number of issues have to be addressed in order for a hydrogen economy to become a reality, including the need to expand hydrogen infrastructure to accommodate vehicular needs. The design of a hydrogen station is a complex problem that entails the determination of numerous operating parameters including the overall hydrogen fueling station capacit...
Article
This paper reviews the literature on the optimization of inspection sampling. Inspection sampling is critical to the prevention of nonconformance from reaching production. Optimization can be used to determine a sampling strategy yielding the best tradeoff between the risks of nonconformance and the sampling costs for avoiding the risks. This paper...
Article
Planning during the product life cycle (PLC) poses a number of challenges for managers due to the pace of change and uncertainties in the marketplace. The ability to better understand, predict, and make decisions based on manifestations of demand forms a set of important operational problems that ultimately affect the profitability of enterprises....
Article
This research details a field study of LED traffic signals in Missouri and develops a replacement schedule based on key findings. Rates of degradation were statistically analyzed using Analysis of Variance (ANOVA). Results of this research will provide a methodology for engineering managers in state departments of transportation and local communiti...
Article
With the ever-decreasing size of manufactured objects, fabrication processes driven by charged particle beams, such as focused ion beam (FIB), become important for a wide spectrum of interdisciplinary applications. A designed three-dimensional (3-D) pattern to fabricate may contain millions of pixels, which will require solving an unprecedented lar...
Article
Revenue management for transportation infrastructure projects is challenging due to the huge amount of capital involved and the deep uncertainty inherent in long service lifetimes. Public-private partnerships (PPPs) provide a way for the public sector to acquire financial resources and transfer risks in such projects. This paper proposes a real opt...
Article
Full-text available
Public-private partnerships (PPPs) projects often face complex decisions with incomplete information, due to long contractual duration and involvement of multiple parties having conflict interests. Real options analysis (ROA), as an effective tool for strategic risk management, has potential to promote better PPPs realization. Although real options...
Article
Services usually have a limited life under modern conditions of competition. The life cycle phenomenon is characterized by time-varying demand and a learning curve of workforce efficiency, making it difficult to determine staffing requirements. This paper initiates a study of the service life cycle phenomenon, from which the learning curve is found...
Article
Workforce agility is commonly described as a strategy that facilitates profitability in rapidly changing, and uncertain production environments. Agility should be distinguished from the shorter term concept of flexibility, which relates to daily operational issues. A lack of workforce agility has been reported as one of the main reasons that some e...