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Designing zonal-based flexible bus services under stochastic demand
In this paper, we develop a zonal-based flexible bus services (ZBFBS) by considering both passenger demands spatial (origin-destination or OD) and volume stochastic variations. Service requests are grouped by zonal OD pairs and ... Read More >
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Research on False Data Injection Attacks in VSC-HVDC Systems
The false data injection (FDI) attack is a crucial form of cyber-physical security problems facing cyber-physical power systems. However, there is no research revealing the problem of FDI attacks facing voltage source converter ... Read More >
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DeepCervix: A Deep Learning-based Framework for the Classification of Cervical C ...
Cervical cancer, one of the most common fatal cancers among women, can be prevented by regular screening to detect any precancerous lesions at early stages and treat them. Pap smear test is a widely performed screening technique ... Read More >
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Quantitative Evaluation of Crack Depths on Thin Aluminum Plate using Eddy Curren ...
Eddy current stimulated thermography is an emerging technique for non-destructive testing and evaluation of conductive materials. However, quantitative estimation of the depth of subsurface defects in metallic materials by therm ... Read More >
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Speech Enhancement Using Multi-Stage Self-Attentive Temporal Convolutional Netwo ...
Multi-stage learning is an effective technique to invoke multiple deep-learning modules sequentially. This paper applies multi-stage learning to speech enhancement by using a multi-stage structure, where each stage comprises a s ... Read More >
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An Iterative Approach to Finding Global Solutions of AC Optimal Power Flow Probl ...
The existence of multiple solutions to AC optimal power flow (ACOPF) problems has been noted for decades. Existing solvers are generally successful in finding local solutions, which are stationary points but may not be globally ... Read More >
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Multi-Slice Low-Rank Tensor Decomposition Based Multi-Atlas Segmentation: Applic ...
Liver segmentation from abdominal CT images is an essential step for liver cancer computer-aided diagnosis and surgical planning. However, both the accuracy and robustness of existing liver segmentation methods cannot meet the r ... Read More >
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An Adaptive Video Acquisition Scheme for Object Tracking and its Performance Opt ...
We present a novel adaptive host-chip modular architecture for video acquisition to optimize an overall objective task constrained under a given bit rate. The chip is a high resolution imaging sensor such as gigapixel focal plan ... Read More >
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Contingency Model Predictive Control for Linear Time-Varying Systems
We present Contingency Model Predictive Control (CMPC), a motion planning and control framework that optimizes performance objectives while simultaneously maintaining a contingency plan -- an alternate trajectory that avoids a p ... Read More >
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False Relay Operation Attacks in Power Systems with High Renewables
Load-generation balance and system inertia are essential for maintaining frequency in power systems. Power grids are equipped with Rate-of-Change-of Frequency (ROCOF) and Load Shedding (LS) relays in order to keep load-generatio ... Read More >