Bypass Enhancement RGB Stream Model for Pedestrian Action Recognition of Autonomous Vehicles

Pedestrian action recognition and intention prediction is one of the core issues in the field of autonomous driving. In this research field, action recognition is one of the key technologies. A large number of scholars have done a lot of work to im-prove the accuracy of the algorithm for the task. However, there are relatively few studies and improvements in the computational complexity of algorithms and sys-tem real-time. In the autonomous driving application scenario, the real-time per-formance and ultra-low latency of the algorithm are extremely important evalua-tion indicators, which are directly related to the availability and safety of the au-tonomous driving system. To this end, we construct a bypass enhanced RGB flow model, which combines the previous two-branch algorithm to extract RGB feature information and optical flow feature information respectively. In the train-ing phase, the two branches are merged by distillation method, and the bypass enhancement is combined in the inference phase to ensure accuracy. The real-time behavior of the behavior recognition algorithm is significantly improved on the premise that the accuracy does not decrease. Experiments confirm the superiority and effectiveness of our algorithm.Comment: Accepted to ACPR 2019 - Workshop on Computer Vision for Modern Vehicle

Hydrogen and nitrogen codoping of anatase TiO₂ for efficiency enhancement in organic solar cells

TiO2 has high chemical stability, strong catalytic activity and is an electron transport material in organic solar cells. However, the presence of trap states near the band edges of TiO2 arising from defects at grain boundaries significantly affects the efficiency of organic solar cells. To become an efficient electron transport material for organic photovoltaics and related devices, such as perovskite solar cells and photocatalytic devices, it is important to tailor its band edges via doping. Nitrogen p-type doping has attracted considerable attention in enhancing the photocatalytic efficiency of TiO2 under visible light irradiation while hydrogen n-type doping increases its electron conductivity. DFT calculations in TiO2 provide evidence that nitrogen and hydrogen can be incorporated in interstitial sites and possibly form NiHi, NiHO and NTiHi defects. The experimental results indicate that NiHi defects are most likely formed and these defects do not introduce deep level states. Furthermore, we show that the efficiency of P3HT:IC60BA-based organic photovoltaic devices is enhanced when using hydrogen-doping and nitrogen/hydrogen codoping of TiO2, both boosting the material n-type conductivity, with maximum power conversion efficiency reaching values of 6.51% and 6.58%, respectively, which are much higher than those of the cells with the as-deposited (4.87%) and nitrogen-doped TiO2 (4.46%).</p

Transrapid - Ηλεκτρομαγνητική ανάρτηση και ευθύγραμμοι κινητήρες στην υπηρεσία των μεταφορών

97 σ.Η εκπόνηση της παρούσας διπλωματικής εργασίας,είχε ως σκοπό την ανάδειξη μιας καινοτόμου τεχνολογίας στον τομέα των μεταφορών ανθρώπινου δυναμικού και εμπορευμάτων, ανεφάρμοστη ακόμα στη χώρα μας.Η τεχνολογία αυτή βασίζεται στις αρχές του ηλεκτρομαγνητισμού, οι οποίες χρησιμοποιήθηκαν για την ανάπτυξη ευθύγραμμων ηλεκτροκινητήρων. Ως οδηγός, για την παρούσα παρουσίαση, χρησιμοποιήθηκε το μοντέλο του γερμανικού οργανισμού τραίνων Transrapid.Αρχικά, παρουσιάζεται μια σύντομη αναφορά στους ηλεκτροκινητήρες, την ηλεκτρική κίνηση και τους ευθύγραμμους κινητήρες. Εν συνεχεία, παρατίθεται μια εκτενής παρουσίαση της δομής και λειτουργίας του Transrapidη(ιστορική διαδρομή της τεχνολογίας των ηλεκτρομαγνητικά-κινούμενων-αναρτώμενων τραίνων από τη σύλληψη της ιδέας έως σήμερα, τα οχήματα και οι διάδρομοι κίνησης,η δομή του κέντρου λειτουργίας και έλεγχου ολόκληρου του συστήματος, η τεχνολογία ευθύγραμμης κίνησης και ανάρτησης,το σύστημα επαγωγικής παροχής ηλεκτρικού ρεύματος IPS, τα γενικά χαρακτηριστικά οφέλη της λειτουργίας των Transrapid maglev τραίνων και τέλος η συνοπτική παρουσίαση του TGV και υπόλοιπων ανταγωνιστικών τεχνολογιών). Ακολουθεί ένα μεγάλο μέρος της εργασίας,στο οποίο παρουσιάζεται εκτενώς η λειτουργία των σύγχρονων ευθύγραμμων κινητήρων( LSM), καθώς και των συστημάτων ανάρτησης EDS (ηλεκτροδυναμικό-απωστικό) και EMS(ηλεκτρομαγνητικό-ελκτικό).Στο τέλος του συγγράμματος, παρατίθενται τα,ανά τον κόσμο, maglev projects , καθώς και μια επισκόπηση διάφορων σχετικών καινοτόμων σχεδίων προς βελτίωση.The development of the present paper had as aim, the appointment of an innovator technology in the sector of transports of human potential and merchandises, inapplicable still in our country. This technology is based on the beginnings of electromagnetism, that were used for the growth of linear motors. As driver, on the present presentation, was used the model of German organism of trains Transrapid.First of all, is presented a short report in electro-motors ,the electric movement and the linear engines. In continuity, is mentioned a extensive presentation of structure and operation of Transrapid(historical way of technology of electromagnetic-propulsioned-levitated trains from the arrest of idea until today, the vehicles and the corridors of movement, the structure of centre of operation and control of entire system, the technology of linear movement and suspension, the system of inductive benefit of electric current IPS, as generally speaking characteristic profits of operation of Transrapid of maglev trains and finally the concise presentation of TGV and remainder competitive technologies). A big part of this paper follows, in which are presented extensively, the operation of modern linear engines (LSM), as well as systems of suspension EDS (electrodynamic-repulsive) and EMS (electromagnetic-attractive). In the end of the paper, they are mentioned, per the world, maglev projects, as well as a review of various relative innovators of drawings to improvement.Νικόλαος Γ. Παπαμακάριο

Robust low-rank tensor modelling using Tucker and CP decomposition

A framework for reliable seperation of a low-rank subspace from grossly corrupted multi-dimensional signals is pivotal in modern signal processing applications. Current methods fall short of this separation either due to the radical simplification or the drastic transformation of data. This has motivated us to propose two new robust low-rank tensor models: Tensor Orthonormal Robust PCA (TORCPA) and Tensor Robust CP Decomposition (TRCPD). They seek Tucker and CP decomposition of a tensor respectively with lp norm regularisation. We compare our methods with state-of-the-art low-rank models on both synthetic and real-world data. Experimental results indicate that the proposed methods are faster and more accurate than the methods they compared to

Synthetic ground truth data generation for automatic trajectory-based ADL detection

In-house automatic activity detection is highly important toward the automatic evaluation of the resident's cognitive state. However, current activity detection systems suffer from the demand for on-site acquisition of large amounts of ground truth data for training purposes, which poses a major obstacle to their real-world applicability. In this paper, focusing on resident location trajectory-based activity recognition through limited amount of low-cost cameras, we introduce a novel scheme for automatic ground truth data generation, via simulation of resident trajectories based on formal descriptions of activities. Additionally, we present an activity detection scheme capable of learning activity patterns from such synthetic ground truth data. Experimental results show that our methodology achieves activity detection performance that is comparable to state-of-art methods, while suppressing the need for any actual ground truth recordings, thus boosting the real-world applicability of practical activity detection systems. © 2014 IEEE

A tool to monitor and support physical exercise interventions for MCI and AD patients

This paper presents a tool to monitor and support the execution of common physical exercise interventions targeting people with Mild Cognitive Impairment (MCI), Alzheimer's Disease (AD) and elderly in general. Our tool aims (a) to stimulate and guide patients within physical exercise programs, (b) to monitor patient capacity to perform exercises suggested by clinicians and provide objective feedback and (c) to enable early diagnosis of significant changes in the physical capacity of users over time. Our tool incorporates a virtual 3D trainer, demonstrating prescribed exercises; currently, arms lifting, arms stretching, torso bending and torso twisting are supported. Utilizing a low-cost depth camera and markerless skeletal joint estimation, our tool monitors movement during exercise execution, evaluating patient performance with a set of metrics introduced herein. Through preliminary experimental analysis, our metrics were found of significant potential to discriminate among good and bad executions of the currently supported exercises. Copyright © 2014 ICST

Impact of dietary shift to higher-antioxidant foods in COPD: a randomised trial

Chronic obstructive pulmonary disease (COPD) is characterised by increased oxidative stress. Dietary factors, such as ample consumption of foods rich in antioxidants, such as fruit and vegetables, might have beneficial effects in COPD patients. The association between dietary shift to foods rich in antioxidants and lung function in COPD was investigated in a 3-yr prospective study. A total of 120 COPD patients were randomised to follow either a diet based on increased consumption of fresh fruit and vegetables (intervention group (IG)) or a free diet (control group (CG)). The mean consumption of foods containing antioxidants was higher in the IG than in the CG throughout the study period (p < 0.05). The relationship between consumption of foods rich in antioxidants and percentage predicted forced expiratory volume in 1 s was assessed using a general linear model for repeated measures; the two groups overall were different in time (p=0.03), with the IG showing a better outcome. In investigating the effect of several confounders (sex, age, smoking status, comorbid conditions and exacerbation) of group response over time, nonsignificant interactions were found between confounders, group and time. These findings suggest that a dietary shift to higher-antioxidant food intake may be associated with improvement in lung function, and, in this respect, dietary interventions might be considered in COPD management