WTA/TLA: A UAV-captured dataset for semantic segmentation of energy infrastructure

Automated inspection of energy infrastructure with Unmanned Aerial Vehicles (UAVs) is becoming increasingly important, exhibiting significant advantages over manual inspection, including improved scalability, cost/time effectiveness, and risks reduction. Although recent technological advancements enabled the collection of an abundance of vision data from UAVs’ sensors, significant efforts are still required from experts to interpret manually the collected data and assess the condition of energy infrastructure. Thus, semantic understanding of vision data collected from UAVs during inspection is a critical prerequisite for performing autonomous robotic tasks. However, the lack of labeled data introduces challenges and limitations in evaluating the performance of semantic prediction algorithms. To this end, we release two novel semantic datasets (WTA and TLA) of aerial images captured from power transmission networks and wind turbine farms, collected during real inspection scenarios with UAVs. We also propose modifications to existing state-of-the-art semantic segmentation CNNs to achieve improved trade-off between accuracy and computational complexity. Qualitative and quantitative experiments demonstrate both the challenging properties of the provided dataset and the effectiveness of the proposed networks in this domain.The dataset is available at: https://github.com/gzamps/wta_tla_dataset

Passive forward ownership and upstream collusion

We investigate the effects of passive forward ownership on the sustainability of upstream collusion. We consider a homogeneous Cournot duopoly with competing vertical chains, where each upstream firm has symmetric passive ownership over its downstream exclusive client. With general demand, (i) we show that passive forward ownership increases collusive profits, (ii) we identify two opposing effects of passive forward ownership on punishment and deviating profits: a positive (direct) effect due to ownership and a negative effect working through input prices. By considering three demand functions, including the widely-used linear demand, we show that passive forward ownership hinders upstream collusion. © 2022 Elsevier B.V

Three-dimensional hysterosonography versus hysteroscopy for the detection of intracavitary uterine abnormalities

Objective: To compare 3-dimentional hysterosonography (3-DHS) and diagnostic hysteroscopy for the evaluation of intrauterine lesions. Methods: In this prospective study 124 women with suspected intrauterine abnormality on 2-D ultrasonography or on hysterosalpingography were scheduled to undergo hysteroscopy, 3-DHS, and 3-D power Doppler (3-DPD) examination. However, 3-DHS could not be performed in 3 of the women because of cervical stenosis. The sensitivity and specificity of 3-DHS and 3-DPD were compared with those of hysteroscopy. Results: Of the 121 women found to have an intracavitary abnormality, 20 had polyps, 11 had myomas, 2 had Mbilerian duct anomalies, and 6 had synechiae on hysteroscopy. There was agreement between hysteroscopy and 3-DHS in 19 of the polyp cases, 11 of the myoma cases, 2 of the Mullerian anomaly cases, and 4 of the synechiae cases. Examination with 3-DHS and 3-DPD reached a sensitivity of 91.9% and specificity of 98.8%, with a positive predictive value of 97. 1 % and a negative predictive value of 96.5%, respectively. Conclusions: Examination with 3-DHS and 3-DPD both allows for accurate assessment of intrauterine abnormalities. 0 2007 International Federation of Gynecology and Obstetrics. Published by Elsevier Ireland Ltd