Miracle-dz/UniFAR-FTUs huggingface dataset:
Body experiences among persons living with incurable cancer : movements in a threatened body

Background: Living with incurable cancer is characterized by increasing deterioration of the person’s body. Bodily impairment and changes affects all aspects of a person`s life and interfere with factors such as disease, medical treatment and loss of physical, social, and mental function. Bodily changes may change a person’s body image and experience of one self. There is a lack of knowledge in palliative care about how people experience their bodies. Aim: The aim was to provide a broader understanding of how people living with incurable cancer experience their bodies and how this can be of significance for patients and carers in a physiotherapeutic setting. Theoretical frame: A phenomenological hermeneutical framework is used well suited to provide insight into lived experiences and to elucidate essential meaning of body experiences. Methods: A qualitative study was performed. Seven persons with advanced incurable cancer who received individual physiotherapy were interviewed. Data were analyzed by thematic and interpretive anasysis according to a phenomenological –hermeneutical approach. Body phenomenology and implications for practice was further explored in the essay. Results: A core finding was that the participants experienced life as threatened where an awareness of mortality is adapted into daily life. A deeper consciousness of and gratefulness for life were present. In the article the finding is presented in three themes:1. Insecurity. 2. Alienation. 3. Joy for life. Physiotherapy seemed to be a support in maintaining hope for days to come and create meaning through body experiences. Conclusion: Living with incurable cancer entails living in an insecure and alien body sustaining an existential awareness of the body and limiting expression of daily living, being a reminder of own mortality. Physiotherapy seems to be of importance in palliative care. The results from the study highlight essential perspectives and characteristics of lived body and may be relevant for palliative care practice. Further research is needed to guide application of the results in clinical practice.
Tracking and Disabling Smartphone Camera for Privacy

With people's easy access to various forms of recent technologies, privacy has decreased immensely. One of the major privacy breaches nowadays is taking pictures and videos using smart phones without seeking permission of those whom it concerns. This work aims to target privacy in the current mobile environment. The main contribution of this work is to block the smart phone camera without damaging the smart phone or harming people around it. The approach is divided into stages: body area detection and then camera detection in the frame. The detection stage follows pointing of laser(s) controlled by a microcontroller. Tests are conducted on built system and results show performance error less than 1%. For Safety, the beams are devised to be harmless to the people, environment and the targeted smart phones.
Identification of Apple, orange and berry and segregation according to sizes in images using Image processing techniques

† Computer vision yields high level understanding by computers, one of the most important areas in recognition is object recognition which is the process of finding a specific object in an image or video sequence. In this paper we present an application that employs a part of object recognition, this application is able to distinguish between different kinds of fruits.The paper is intended to demonstrate the process by taking three fruit examples which can be further extended to greater number of fruit identification in an image.This application is based on color and size through comparing the fruit identified in image with predefined size of fruits for proper segregation of fruits.The paper can find immense use conveyor belt implementation for proper identification of size of fruit.
Pattern Based Network Security Using Semi-Supervised Learning

Network security is becoming increasingly important in today’s internet-worked systems. With the development of internet, its use on public networks, the number and the severity of security threats has increased significantly. Intrusion Detection System can provide a layer of security to these systems. Intrusion Detection can be defined as "the act of detecting actions that attempt to compromise the confidentiality, integrity or availability of a resource”. More specifically, the goal of intrusion detection system is to identify entities who attempt to subvert in-place security controls. At present, two fundamental problems, quantity and quality of the outputs i.e. false alarms or alerts of IDS, have not been solved well. The pattern of attack changes frequently. Thus IDS should upgrade accordingly. The changes in patterns are mainly the manifestations of attack. Pattern based IDS provides very low false alarms as compare to heuristic/anomaly based IDS. In real world it is very difficult to have large labeled data for training. Supervised approach can't be used in this case. So in this work we propose a semi-supervised approach for pattern based IDS. Our approach uses supervised algorithm as a black box and then filters the unlabelled data with predicted label for training the system. The experimentation is performed on KDD CUP99 dataset and NSL KDD data which is revised KDD CUP 99 data.
Analog and digital implementations of retinal processing for robot navigation systems

3 Sommario (Italian) . 4 Acknowledgements . 6 Table of contents . 7 1. Introduction . 9 1.1. Thesis overview . 10 1.2. Neuromorphic Engineering . 10 1.3. Silicon Retinas and the Dynamic Vision Sensor . 11 2. Retinal Ganglion Cell implementation: the Object Motion Cell . 14 2.1. Biological relevance of Retinal Ganglion Cells . 15 2.2. Göttingen VISUALISE Workshop . 17 2.3. Object Motion Cell implementation in software and FPGA . 18 2.4. Live demonstration . 29 2.5. More details on the FPGA implementation . 30 2.6. Conclusion . 30 3. Convolutional Neural Network for steering a robot in a predator‐prey scenario . 31 3.1. Convolutional Neural Networks . 32 3.1.1. Machine learning and computer vision . 32 3.1.2. Artificial Neural Networks and Deep Learning . 32 3.1.3. Convolutional Neural Networks . 33 3.2. Steering a robot with a DAVIS sensor . 35 3.3. Conclusion . 52 4. Characterization and applications of a high‐gain Dynamic and Active pixel Vision Sensor . 53 4.1. The Sensitive Dynamic and Active Pixel Vision sensor. 54 4.2. More details on the Active Pixel Sensor characterization . 76 4.2.1. Photon Transfer Curve theory . 76 4.2.2. Conversion gain theory . 80 4.2.3. Sensitivity results . 81 4.2.4. Photon Transfer Curve and conversion gain results . 81 4.2.5. Read noise theory . 83 4.2.6. Dynamic Range theory . 83 4.2. 7. Fixed Pattern Noise theory . 83 4.2. 8. Fixed Pattern Noise results . 85 4.2. 9. Dark current . 88 ETH Zürich Diederik Paul Moeys 28‐Nov‐16 8 4.2.10. Dark current, read noise, Dynamic Range and DSNU results . 89 4.2.11. External Quantum Efficiency theory and setup . 91 4.3. Notes on power consumption . 93 4.4. Automated Operating Region Control . 98 4.4.1. Steady‐state analysis . 98 4.4.2. Test pixel transient analysis . 103 4.4.3. Finite State Machine . 105 4.5. APS and DVS coupling problem . 106 4.6. Application in neural imaging . 107 4.7. Description of test columns not yet analyzed . 109 5. Conclusions and discussion . 111 Bibliography . 116 6. APPENDIX I: Uniform light intensity sweeps setup . 126 6.1. Circuit topology . 126 6.2. Printed Circuit Board . 129 6.3. LED characterization . 131 6.4. Latency measurements setup . 133 7. APPENDIX II: Dark current study attempt in photodiodes . 135 7.1. Origin of dark current . 136 7.2. Factors investigated . 136 7.2.1. Surface Photodiode . 137 7.2.2. Buried Photodiode . 137 7.2.3. Salicidation and non‐salicide block . 138 7.2.4. Shapes . 139 7.2.5. Temperature . 139 7.2.6. Transistor leakage . 139 7.2. 7. Relative Quantum Efficiency . 140 7.3. Overall circuit . 140 7.4. Measurement setup . 144 7.5. Problems and time constraints: measurement failure. 145 Curriculum Vitae . 146
Publicly Displayed Interactive Installations: Where Do They Work Best?

— In this paper, we discuss user experience (UX) with an interactive installation that we have developed in order to study its relation to physical space where the installation is used. The installation utilizes Kinect motion sensor to provide movement based, single or multi user, interactions with graphical and sound interfaces. The installation was tested in various settings, including private interactions in the lab, and public space interactions in a library and a museum. Our findings show that for an open, explorative kind of interactions such as ours, spaces where one is expected to explore, e.g., a Maker Faire or a museum, provide for the longest and most pleasurable interactions with the installation.
Automatische Anleitung einer Versuchsperson während eines kontrollierten Experiments in ExplorViz

Es existieren verschiedene Tools, mit denen Anwendungen visualisiert werden konnen, um dem Nutzer Verstandnis uber die Anwendung zu vermitteln. Um die Vorteile verschiedener Visualisierungsarten zu identifizieren, konnen kontrollierte Experimente durchgefuhrt werden. Fur diese ist es notwendig, den Probanden eine Einfuhrung in das zu nutzende Tool zu geben und durch Fragen zu testen, wie viel Programmverstandnis sie durch das Tool gewinnen. Werden Einfuhrungen von den Versuchsleitern gegeben, kann nicht gewahrleistet werden, dass es zu keiner Beeinflussung der Probanden kommt, wodurch Zweifel an der Validitat der Ergebnisse entstehen konnen. Um dies zu verhindern konnen automatische Tutorials genutzt werden, die in Zusammenarbeit mit den Entwicklern des jeweiligen Tools geplant wurden, sodass eine Erklarung aller Funktionen und ihres Nutzen gewahrleistet werden kann. Weitere Vorteile fur die Durchfuhrung eines Experiments konnen aus einem elektronischen Fragebogen gewonnen werden, da dieser sowohl die Zeitmessung als auch die Auswertung erleichtern, sodass diese weniger fehleranfallig ist, als wurde sie manuell durchgefuhrt werden. In dieser Arbeit werden Konzepte fur eine automatische Anleitung einer Versuchsperson wahrend eines kontrollierten Experiments in ExplorViz vorgestellt. Dazu wird ein Uberblick uber die Auswirkungen verschiedener Anleitungsarten gegeben und erlautert, wie sich ein interaktives Tutorial von diesen absetzt. Auserdem wird beschrieben, was bei der Erstellung eines Fragebogens zu beachten ist, welche Arten von Fragen existieren und welche Skalen als Antwortmoglichkeiten fur Multiple-Choice-Fragen vorgegeben werden konnen. Anschliesend werden die Vor- und Nachteile verschiedener Ansatze diskutiert und darauf basierend ein Konzept aufgestellt, anhand dessen das Tutorial und der Fragebogen in ExplorViz integriert werden. Beide Funktionalitaten kamen in zwei kontrollierten Experimenten zum Einsatz, in dem die Tracevisualisierung von ExplorViz mit der von Extravis verglichen wird. Die Planung, Durchfuhrung und Analyse dieser Experimente wird zum besseren Verstandnis ebenfalls in dieser Arbeit erlautert. Basierend auf den wahrend der Experimente gemachten Beobachtungen sowie den Meinungen der Probanden werden das gewahlte Konzept und die Umsetzung daraufhin bewertet und mogliche Verbesserungen aufgezeigt. Sowohl das Tutorial als auch der Fragebogen konnten den Verlauf des Experiments wie geplant unterstutzen und wurden von den Probanden gut aufgenommen.
Intégration de technologies de mémoires non volatiles émergentes dans la hiérarchie de caches pour améliorer l'efficacité énergétique. (Integration of emerging non volatile memory in the cache hierarchy for energy-efficiency improvement)

De nos jours, des efforts majeurs pour la conception de systemes sur puces performants et efficaces energetiquement sont en cours. Le declin de la loi de Moore au debut du XX e siecle a pousse les concepteurs a augmenter le nombre de cœurs par processeur pour continuer d’ameliorer les performances. En consequence, la surface de silicium occupee par les memoires caches a augmentee. La finesse de gravure toujours plus petite a egalement fait augmenter le courant de fuite des transistors CMOS. Ainsi, la consommation energetique des memoires occupe une part de plus en plus importante dans la consommation globale des puces. Pour diminuer cette consommation, de nouvelles technologies de memoires emergent depuis une dizaine d’annees : les memoires non volatiles (NVM). Ces memoires ont la particularite d’avoir un courant de fuite tres faible compare aux technologies CMOS classiques. De fait, leur utilisation dans une architecture permettrait de diminuer la consommation globale de la hierarchie de caches. Cependant, ces technologies souffrent de latences d’acces plus elevees que la SRAM, de couts energetiques d’acces plus importants et d’une duree de vie limitee. Leur integration a des systemes sur puces necessite de continuer a rechercher des solutions. Cette these cherche a evaluer l’impact d’un changement de technologie dans la hierarchie de caches.Plus specifiquement, elle s’interesse au cache de dernier niveau (LLC) et la technologie non volatile consideree est la STT-MRAM. Nos travaux adoptent un point de vue architectural dans lequel une modification de la technologie n’est pas retenue. Nous cherchons alors a integrer les caracteristiques differentes de la STT-MRAM lors de la conception de la hierarchie memoire. Une premiere etude a permis de mettre en place un cadre d’exploration architectural pour des systemes contenant des memoires emergentes. Une seconde etude sur les optimisations architecturales au niveau du LLC a ete menee pour identifier quelles sont les opportunites d’integration de la STT-MRAM. Le but est d’ameliorer l’efficacite energetique tout en attenuant les penalites d’acces dues aux fortes latences de cette technologie.
E-069 Correlations with high-resolution CFD and vessel wall imaging enhancement of intracranial saccular aneurysms

High-resolution MRI vessel wall imaging (VWI) has been recently introduced as a promising diagnostic approach to directly assess vessel wall pathology affecting the intracranial circulation. VWI enhancement is considered a surrogate marker of aneurysm wall inflammation, which is an important rupture risk factor.1 The purpose of this study is to investigate possible correlation between aneurysm wall enhancement (AWE) and various hemodynamic parameters using high fidelity computational fluid dynamics (CFD) in a consecutive series of unruptured intracranial saccular aneurysms (IAs). Materials and methods VWI was performed as described in Matouk et al., 2013.1 Images were evaluated by two neuroradiologists for the presence of AWE on post-gadolinium images. Three dimensional model geometries were prepared for CFD using a watershed segmentation method from 3D-rotational angiograms. High-fidelity CFD was performed as described in Chnafa et al., 2018.2 Results Six patients with 11 IAs were included. After the high-resolution VRI-MRI was performed, AWE was detected in total of 3 aneurysms. Per the top row of the figure, elevated spectral power index (SPI, a marker of high-frequency flow instabilities) was evident for the 3 cases that enhanced (identified in red with **). As an example, for pt4 with multiple aneurysms, only the aneurysm that enhanced had extensive elevated SPI, suggesting an inflammatory response to local hemodynamic rather than systemic risk factors. Per the bottom row of the figure 1, there was no such association between enhancement and low time-averaged wall shear stress (TAWSS). Abstract E-069 Figure 1 Conclusions VWI enhancement is associated with high SPI, suggesting that high-frequency fluctuations in WSS may promote inflammation leading to increased contrast uptake in the aneurysm wall, as opposed to low TAWSS causing stagnation and contrast diffusion into the wall. References Matouk C, et al. Vessel wall magnetic resonance imaging identifies the site of rupture in patients with multiple intracranial aneurysms. Neurosurgery 2013;72(3):492–496. Chnafa C, et al. Better than nothing: A rational approach for minimizing the impact of outflow strategy on cerebrovascular simulations. AJNR Am J Neuroradiol 2018;39(2):337–343. Disclosures N. Cancelliere: None. M. Najafi: None. I. Radovanovic: None. T. Krings: None. D. Steinman: None. V. Mendes Pereira: None.
Development of 3D integrated circuits for HEP

Three dimensional integrated circuits are well suited to improving circuit bandwidth and increasing effective circuit density. Recent advances in industry have made 3D integrated circuits an option for HEP. The 3D technology is discussed in this paper and several examples are shown. Design of a 3D demonstrator chip for the ILC is presented.
Research Corner Outcome Measures in Cardiopulmonary Physical Therapy: Medical Research Council (MRC) Dyspnea Scale

INTRODUCTION Breathlessness is a common complaint of individuals with respiratory disease. The sensation of difficult or uncomfortable breathing is probably the single most important determinant impacting day-to-day function of these patients . Dyspnea can lead to functional limitations and disability, including days lost from employment. The physiologic mechanisms resulting in dyspnea are poorly understood and thus quantification is difficult. Because of the multifactorial nature of dyspnea , it can be difficult to predict the level of breathlessness during activities of daily living using measures of respiratory disease. Therefore, the implementation of a specific measure for the determination of dyspnea is important . Specifically, the quantification of the relationship between dyspnea and physical exertion may be a very useful outcome measure to track the efficacy of interventions aimed at dyspnea reduction , improvements in functional ability, or both. Objective quantification of disability related to dyspnea can be determined using several health status measures such as the St. George 's Respiratory Questionnaire' and the Chronic Respiratory Disease Questionnaire. ' However, these questionnaires are complex to administer and score. '. ' The St. George 's Respiratory Questionnaire is a self-report health related quality of life tool that consists of 50 items divided into symptom (scored with a 4 or 5 point Likert scale), activity (scored with a true false format), and psychosocial impact ( scored with a true/false format) categories. The questionnaire can be completed in approximately 15 minutes . The score is obtained by calculations involving the patient responses modified by empirically determined weights for each response. Category and total scores range from 100% (highest score-signifying profound impact of respiratory disease on health related
Analysis and Optimization of Hybrid Software-Defined Networks

Hybrid IP networks that use both control plane paradigms - distributed and centralized - promise the best of two worlds: programmability and flexible control of Software-Defined Networking (SDN), and at the same time the reliability and fault tolerance of distributed routing protocols like Open Shortest Path First (OSPF). Hybrid SDN/OSPF networks typically deploy OSPF to assure care-free operation of best effort traffic, while SDN can control prioritized traffic. This "ships-passing-in-the-night" approach, where both control planes are unaware of each other's configurations, only require hybrid SDN/OSPF routers that can participate in the domain-wide legacy routing protocol and additionally connect to a central SDN controller. This mode of operation is however known for a number of challenges in operational networks, including those related to network failures, size of forwarding tables, routing convergence time, and the increased complexity of network management. There are alternative modes of hybrid operation that provide a more holistic network control paradigm, either through an OSPF-enabled SDN controller, or a common network management system that allows the joint monitoring and configuration of both control planes, or via the partitioning of the legacy routing domain with SDN border nodes. The latter mode of operation offers to some extent to steer the working of the legacy routing protocol inside the sub-domains, which is new. The analysis, modeling, and evaluative comparison of this approach called SDN Partitioning with other modes of operation is the main contribution of this thesis. This thesis addresses important network planning tasks in hybrid SDN/OSPF networks and provides the according mathematical models to optimize network clustering, capacity planning, SDN node placement, and resource provisioning for a fault tolerant operation. It furthermore provides the mathematical models to optimize traffic engineering, failure recovery, reconfiguration scheduling, and traffic monitoring in hybrid SDN/OSPF networks, which are vital network operational tasks.
Multi-Hop D2D Communications With Network Coding: From a Performance Perspective

Multi-hop device-to-device (D2D) communications play an important role in expanding D2D coverage. In this paper, we study a relay-based and network-coding-assisted (in particular, XOR coding) multi-hop D2D communication system. In the system, toward jointly considering the impact of interference and network traffic conditions on the quality of D2D communications, various channel fading models and traffic models are investigated, and the packet loss probability of D2D links is meticulously computed using these models. With the packet loss probability of D2D links, the general closed-form expressions of end-to-end packet loss probability (E2EPLP) of the system with the presence (or absence) of XOR coding are subsequently derived. Our experiments reveal that both the number of relays and the mechanism of XOR coding can affect the system performance. Specifically, the increase in the number of relays will lower the overall system performance (e.g., an increase in the E2EPLP and end-to-end completion time, and a decrease of the end-to-end rate may follow as a result). On the other hand, although the presence of XOR coding unfortunately raises the system E2EPLP, it can effectively improve the end-to-end completion time and end-to-end rate. It is our belief that the analytical approach proposed in this paper and the results found in our work can be useful to peer studies in the context of applying network coding in multi-hop D2D networks.
Optimized Power Control for Massive MIMO With Underlaid D2D Communications

In this paper, we consider device-to-device (D2D) communication that is underlaid in a multi-cell massive multiple-input multiple-output (MIMO) system and proposes a new framework for power control and pilot allocation. In this scheme, the cellular users (CUs) in each cell get orthogonal pilots which are reused with reuse factor one across cells, while all the D2D pairs share another set of orthogonal pilots. We derive a closed-form capacity lower bound for the CUs with different receive processing schemes. In addition, we derive a capacity lower bound for the D2D receivers and a closed-form approximation of it. We provide power control algorithms to maximize the minimum spectral efficiency (SE) and to maximize the product of the signal-to-interference-plus-noise ratios in the network. Different from prior works, in our proposed power control schemes, we consider joint pilot and data transmission optimization. Finally, we provide a numerical evaluation, where we compare our proposed power control schemes with the maximum transmit power case and the case of conventional multi-cell massive MIMO without D2D communication. Based on the provided results, we conclude that our proposed scheme increases the sum SE of multi-cell massive MIMO networks.