Miracle-dz/UniFAR-FTUs huggingface dataset:
High-performance single clock cycle CMOS comparator

A novel comparison algorithm is introduced, which uses a parallel MSB checking method instead of the traditional priority-encoding based comparison algorithm. Fast dynamic NOR gates are used instead of high-fanin NAND gates and this results in significant improvement in performance over the traditional design. The design was realised in AMS 0.35 µm technology. It is shown that the proposed design is 22% faster than the existing fastest single-cycle comparator based on priority encoder.
TelematicsTelematics Transport System Transport System

Interaction between the driver and transport telematics is the focus of this paper. In its first part, methods of attracting driver’s attention and affecting them were analysed, with the use of feasible information displays. Potential hazards were also investigated. It latter part, research regarding driver attitude towards route planning using in-vehicle telematics was presented.
Applications de l'intelligence artificielle à la détection et l'isolation de pannes multiples dans un réseau de télécommunications

Les reseaux de telecommunication doivent etre fiables et robustes pour garantir la haute disponibilite des services. Les operateurs cherchent actuellement a automatiser autant que possible les operations complexes de gestion des reseaux, telles que le diagnostic de pannes.Dans cette these nous nous sommes interesses au diagnostic automatique de pannes dans les reseaux d'acces optiques de l'operateur Orange. L'outil de diagnostic utilise jusqu'a present, nomme DELC, est un systeme expert a base de regles de decision. Ce systeme est performant mais difficile a maintenir en raison, en particulier, du tres grand volume d'informations a analyser. Il est egalement impossible de disposer d'une regle pour chaque configuration possible de panne, de sorte que certaines pannes ne sont actuellement pas diagnostiquees.Dans cette these nous avons propose une nouvelle approche. Dans notre approche, le diagnostic des causes racines des anomalies et alarmes observees s'appuie sur une modelisation probabiliste, de type reseau bayesien, des relations de dependance entre les differentes alarmes, compteurs, pannes intermediaires et causes racines au niveau des differents equipements de reseau. Ce modele probabiliste a ete concu de maniere modulaire, de facon a pouvoir evoluer en cas de modification de l'architecture physique du reseau.Le diagnostic des causes racines des anomalies est effectue par inference, dans le reseau bayesien, de l'etat des noeuds non observes au vu des observations (compteurs, alarmes intermediaires, etc.) recoltees sur le reseau de l'operateur. La structure du reseau bayesien, ainsi que l'ordre de grandeur des parametres probabilistes de ce modele, ont ete determines en integrant dans le modele les connaissances des experts specialistes du diagnostic sur ce segment de reseau. L'analyse de milliers de cas de diagnostic de pannes a ensuite permis de calibrer finement les parametres probabilistes du modele grâce a un algorithme EM (Expectation Maximization). Les performances de l'outil developpe, nomme PANDA, ont ete evaluees sur deux mois de diagnostic de panne dans le reseau GPON-FTTH d'Orange en juillet-aout 2015. Dans la plupart des cas, le nouveau systeme, PANDA, et le systeme en production, DELC, font un diagnostic identique. Cependant un certain nombre de cas sont non diagnostiques par DELC mais ils sont correctement diagnostiques par PANDA. Les cas pour lesquels les deux systemes emettent des diagnostics differents ont ete evalues manuellement, ce qui a permis de demontrer dans chacun de ces cas la pertinence des decisions prises par PANDA.
A testable property of some discrete-state models for recognition memory.

Several current theories of recognition memory combine the notion of a few discrete states of memory with the assumption of continuous distributions of familiarity or apparent oldness. If a test for threshold theories of signal detection proposed by Krantz is applied, it can be shown that the discrete-state memory models imply a lower bound on the a posteriori curve obtained from confidence ratings in yes-no recognition experiments. From this the prediction is derived that new items cannot be perfectly recognized as new unless the forgetting probability is zero. Experimental data are presented that show this prediction to be wrong.
Unsupervised pattern classification by means of cellular neural networks

A novel algorithm for unsupervised classification of datasets made up of integer valued patterns by means of Cellular Neural Network (CNN) is proposed. The adopted CNN is n-dimensional and is based on a space-variant template - neighborhood order 1 - to cluster n-dimensional datasets. The choice of a CNN architecture allows a straightforward hardware implementation, particularly suited for bi-dimensional patterns.
Speech Data Analysis for Semantic Indexing of Video of Simulated Medical Crises

Abstract : The Simulation for Pediatric Assessment, Resuscitation, and Communication (SPARC) group within the Department of Pediatrics at the University of Louisville, was established to enhance the care of children by using simulation based educational methodologies to improve patient safety and strengthen clinician-patient interactions. After each simulation session, the physician must manually review and annotate the recordings and then debrief the trainees. The physician responsible for the simulation has recorded 100s of videos, and is seeking solutions that can automate the process. This dissertation introduces our developed system for ecient segmentation and semantic indexing of videos of medical simulations using machine learning methods. It provides the physician with automated tools to review important sections of the simulation by identifying who spoke, when and what was his/her emotion. Only audio information is extracted and analyzed because the quality of the image recording is low and the visual environment is static for most parts. Our proposed system includes four main components: preprocessing, speaker segmentation, speaker identification, and emotion recognition. The preprocessing consists of first extracting the audio component from the video recording. Then, extracting various low-level audio features to detect and remove silence segments. We investigate and compare two different approaches for this task. The first one is threshold-based and the second one is classification-based. The second main component of the proposed system consists of detecting speaker changing points for the purpose of segmenting the audiostream. We propose two fusion methods for this task.
Efficient Access of Replicated Data in Distributed Database Systems

Replication is a useful technique for distributed database systems where a data object will be accessed (Le., read and written) from multiple locations such as from a local area network environment or geographically distributed world wide. This technique is used to provide high availability, fault tolerance, and enhanced performance. This research addresses the performance of data replication protocol in terms of data availability and communication costs. Specifically, this thesis present a new protocol called Three Dimensional Grid Structure (TDGS) protocol, to manage data replication in distributed database systems (DDS). The TDGS protocol is based on the logical structure of sites/serquorum in the DDS. The protocol provide high availability for read and write operations with limited fault-tolerance at low communication cost. With TDGS protocol, a read operation is limited to two data copies, while a write operation is required with minimal number of copies. In comparison to other protocols, TDGS requires lower communication cost for an operation, while providing higher data availability . A system for building reliable computing over TDGS Remote Procedure (TDGSRP) system has also been described in this research. The system combines the replication and transaction techniques and embeds these techniques into the TDGS-RP system. The model describes the models for replicas, TDGS-RP, transactions, and the algorithms for managing transactions, and replicas.
GV Annual Meeting 2009

Geowissenschaftliches Zentrum (GZG) der Universitat Gottingen, October 5-7, 2009 Universitatsverlag Gottingen 2009 Bibliographische Information der Deutschen Nationalbibliothek Die Deutsche Nationalbibliothek verzeichnet diese Publikation in der Deutschen Nationalbibliographie; detaillierte bibliographische Daten sind im Internet uber abrufbar. Editorial contact Prof. Dr. H.v. Eynatten, Prof. Dr. J. Reitner, Prof. Dr. G. Worner Geoscience Centre of the University of Gottingen Goldschmidtstr. 1+3 37077 Gottingen http://www.gzg. uni-goettingen.de This work is protected by German Intellectual Property Right Law. It is also available as an Open Access version through the publisher’s homepage and the Online Catalogue of the State and University Library of Goettingen (http://www.sub.uni-goettingen.de). Users of the free online version are invited to read, download and distribute it. Users may also print a small number for educational or private use. However they may not sell print versions of the online book. Abstract Collection and Layout: Stefan Moller-McNett, Conny Kaubisch Cover Design and Cover Image: Conny Kaubisch, Prof. Dr. Hilmar von EynattenCollection and Layout: Stefan Moller-McNett, Conny Kaubisch Cover Design and Cover Image: Conny Kaubisch, Prof. Dr. Hilmar von Eynatten © 2009 Universitatsverlag Gottingen http://univerlag.uni-goettingen.de ISBN: 978-3-941875-09-8
Early system analysis of cache performance for RISC systems

The implications of packaging and interconnection technologies for reduced instruction set computing (RISC) microprocessor memory hierarchies are examined. Prior early analysis tools have taken either cache performance or interconnection models into consideration. Here such analyses are combined and extended to be more specific to RISC microprocessor cache systems. The resulting first-order model allows interactive investigation of tradeoffs at prenetlist phases of design. After summarizing the model, several test cases are presented which illustrate trends and begin to quantify design tradeoffs. <<ETX>>
From implicit to explicit data: a way to enhance privacy

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Instance-based bird species identication with undiscriminant features pruning - LifeCLEF 2014

This paper reports the participation of Inria to the audiobasedbird species identication challenge of LifeCLEF 2014 campaign.Inspired by recent works on ne-grained image classication, we introducean instance-based classication scheme based on the dense indexingof MFCC features and the pruning of the non-discriminant ones. To makesuch strategy scalable to the 30M of MFCC features extracted from thetens of thousands audio recordings of the training set, we used highdimensionalhashing techniques coupled with an ecient approximatenearest neighbors search algorithm with controlled quality. Further improvementsare obtained by (i) using a sliding classier with max pooling(ii) weighting the query features according to their semantic coherence(iii) making use of the metadata to lter incoherent species. Results showthe eectiveness of the proposed technique which ranked 3rd among the10 participating groups.
Extraction of Informative Blocks from Deep Web Page Using Similar Layout Feature

Due to the explosive growth and popularity of the deep web, information extraction from deep web page has gained more and more attention. However, the HTML structure of web page has become more complicated, making it difficult to recognize target content by only analyzing the HTML source code. In this paper, we propose a method to extract the informative blocks from a deep web using the layout feature. We consider the visual rectangular region of an HTML element as a visual block in web page. We transform the elements’ layout of a visual block into a layout tree. By calculating the similarity of layout trees, we cluster the visual blocks that have similar layout feature. Finally, the cluster which has the largest area is extracted as the informative block cluster. The experiment results show that this method is optimal when the threshold of layout tree similarity is 0.4.
Robust control of nonlinear systems using norm-bounded neural networks

A new method for designing robustly stable closed-loop systems which contain neural networks is presented. The class of plants considered constitutes a set of unknown but invertible nonlinear systems. In this method, neural network outputs are treated as system uncertainty and are combined with other plant uncertainties so that a robust controller can be designed. A procedure for determining how large the neural network's output must be and an algorithm for confining the network's output to be less than this bound is presented. A previous result in robust control is expanded upon for use in this procedure. <<ETX>>
Robust feedback linearization approach to autopilot design

The feasibility of autopilot design for highly maneuverable bank-to-turn (BTT) missiles using feedback-linearization-based approaches is investigated. Two schemes, namely, feedback linearization and robust feedback linearization, are designed and compared based on a full-scale six-degree-of-freedom HAVE DASH II terminal homing missile model. Although the feedback linearization controller is quite satisfactory in general, a sizable coupling between the longitudinal motion and lateral motion for large maneuvers is observed. This is attributed to the uncertainties arising from the approximation of the aerocoefficients and model simplification. The second scheme, which adds a robust outer-loop design based on Lyapunov's second method to the first scheme in order to account for this uncertainty, shows a significant improvement over the first scheme. <<ETX>>
Optimizing Communication for Massively Parallel Processing

The current trends in high performance computing show that large machines with tens of thousands of processors will soon be readily available. The IBM Bluegene-L machine with 128k processors (which is currently being deployed) is an important step in this direction. In this scenario, it is going to be a significant burden for the programmer to manually scale his applications. This task of scaling involves addressing issues like load-imbalance and communication overhead. In this thesis, we explore several communication optimizations to help parallel applications to easily scale on a large number of processors. We also present automatic runtime techniques to relieve the programmer from the burden of optimizing communication in his applications. This thesis explores processor virtualization to improve communication performance in applications. With processor virtualization, the computation is mapped to virtual processors (VPs). After one VP has finished computation and is waiting for responses to its messages, another VP can compute, thus overlapping communication with computation. This overlap is only effective if the processor overhead of the communication operation is a small fraction of the total communication time. Fortunately, with network interfaces having co-processors, this happens to be true and processor virtualization has a natural advantage on such interconnects. The communication optimizations we present in this thesis, are motivated by applications such as NAMD and CPAIMD. Applications like NAMD and CPAIMD consume a fair share of the time available on supercomputers. So, improving their performance would be of great value. We have successfully scaled NAMD to 1TF of peak performance on 3000 processors of PSC Lemieux, using the techniques presented in this thesis. We study both point-to-point communication and collective communication (specifically all-to-all communication). The communication optimization framework presented in this thesis, has been designed to optimize communication in the context of processor virtualization and dynamic migrating objects. We present the streaming strategy to optimize fine grained object-to-object communication. In this thesis, we motivate the need for hardware collectives, as processor based collectives can be delayed by intermediate that processors busy with computation. We show the performance gains of a next generation network with hardware collectives, through synthetic benchmarks.
Daily New s Great New Product !

Rural developing regions are often defined in terms of their resource constraints, including limited technology exposure, lack of power and low access to data connections (leading to an inability to access information from digital or physical sources), as well as being amongst the most socio-economically disadvantaged and least literate in their countries’ populations. This paper is focused around information access in such regions, aiming to build upon and extend the audio-based services that are already widely used in order to provide access to further types of media. In this article, then, we present an extended exploration of AudioCanvas – an interactive telephone-based audio information system which allows cameraphone users to interact directly with their own photos of physical media to receive narration or description. Our novel approach requires no specialist hardware, literacy, or data connectivity, making it far more likely to be a suitable solution for users in such regions.
Human papilloma virus (HPV) infection as an etiological factor in malignant sinonasal neoplasms and nasopharyngeal carcinomas: A pathologist’s perspective

Introduction: Role of Epstein–Barr virus (EBV) infection as an etiological agent in nasopharyngeal carcinoma (NPC) of type III and type II is well known. But there are not many studies showing association between NPCs and human papilloma virus (HPV). We undertook this study to identify the relationship between HPV and NPCs by histopathology & immunohistochemistry by using HPV antibodies against HPV types 6, 11 and 18. Objectives: To identify the rate of HPV infection in malignant sinonasal tumours and nasopharyngeal carcinomas (NPCs) by using histopathology and immunohistochemistry (IHC). Materials and Methods: 21 samples from patients with histopathologically confirmed malignant sino nasal tumours and NPCs were studied. Twelve samples were arising from nasopharynx and nine from nasal cavity. Tumours were classified histopathologically according to WHO criteria. Findings of HPV infection like koilocytic changes and HPV antigen positivity by IHC were noted in all the samples. Results: Moderately differentiated squamous cell carcinoma was commonest of the malignant nasopharyngeal tumours which comprised of 38.09% followed by undifferentiated carcinomas 19.04%, poorly differentiating carcinomas 14.2%, inverted papilloma with carcinoma and adenoid cystic carcinoma 9.6% each and 4.8% each of acinic cell carcinoma and sarcomatoid carcinoma. HPV involvement was seen in 47.61% of cases. Conclusion: HPV infection was identified in 75% of moderately differentiated squamous cell carcinomas and 33.3% cases of poorly to undifferentiated cases of NPC.
An efficient algorithm for leader-election in synchronous distributed systems

Leader election is an important problem in distributed computing. H. Garcia-Molina's (1982) Bully algorithm is a classic solution to leader election in synchronous systems with crash failures. In this paper, we indicate the problems with the Bully algorithm and re-write it to use a failure detector instead of explicit time-outs. We show that this algorithm is more efficient than Garcia-Molina's one in terms of processing time.
Code-Injection Attack Automatic Analyses and Response System Based on Abnormal Scene Diagnose

The paper presents a code-injection attack automatic analyses and response system. By means of analyzing abnormal scene and syntax of data payload, it generates vulnerability-oriented signatures which are used to filter off variant form of code injection attack based on same attack scheme of same vulnerability. By combining with protocol state and process state during signatures generating and attack responding process, very low false positive rate and lagging without elevating false negative rate can be gained. Some technical details of the protocol type system on Linux and Windows 2000 and experimental results are also presented.
Title Toxic Effects of Silica Nanoparticles on Zebrafish Embryos andLarvae

Silica nanoparticles (SiNPs) have been widely used in biomedical and biotechnological applications. Environmental exposure to nanomaterials is inevitable as they become part of our daily life. Therefore, it is necessary to investigate the possible toxic effects of SiNPs exposure. In this study, zebrafish embryos were treated with SiNPs (25, 50, 100, 200 mg/mL) during 4–96 hours post fertilization (hpf). Mortality, hatching rate, malformation and whole-embryo cellular death were detected. We also measured the larval behavior to analyze whether SiNPs had adverse effects on larvae locomotor activity. The results showed that as the exposure dosages increasing, the hatching rate of zebrafish embryos was decreased while the mortality and cell death were increased. Exposure to SiNPs caused embryonic malformations, including pericardial edema, yolk sac edema, tail and head malformation. The larval behavior testing showed that the total swimming distance was decreased in a dose-dependent manner. The lower dose (25 and 50 mg/mL SiNPs) produced substantial hyperactivity while the higher doses (100 and 200 mg/mL SiNPs) elicited remarkably hypoactivity in dark periods. In summary, our data indicated that SiNPs caused embryonic developmental toxicity, resulted in persistent effects on larval behavior. Citation: Duan J, Yu Y, Shi H, Tian L, Guo C, et al. (2013) Toxic Effects of Silica Nanoparticles on Zebrafish Embryos and Larvae. PLoS ONE 8(9): e74606. doi:10.1371/journal.pone. 0074606 Editor: Vishal Shah, Dowling College, United States of America Received March 24, 2013; Accepted August 5, 2013; Published September 18, 2013 Copyright: 2013 Duan et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Funding: This work was supported by National Natural Science Foundation of China (no. 81230065, no. 81172704), Funding Project for Academic Human Resources Development of Beijing Education Committee (PHR201006110) and Innovative Team Project of Beijing Education Committee (PHR201107116). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. Competing Interests: The authors have declared that no competing interests exist. * E-mail: pengsq@hotmail.com (SQP); zwsun@hotmail.com (ZWS) . These authors contributed equally to this work.
Annual Incomes of University Graduates and their Science Studies during High School Periods

We survey the incomes of graduates of science or engineering departments of the Japanese universities. We also compare the incomes of three separate generations to analyze the impact brought about by changes in curriculum guidelines imposed by the Ministry of education, culture, sports, science and technology (MEXT). We find that science and mathematics have become weaker subjects for each succeeding generation. Also,We find that physics studies have contributed most to increases in income in every generation. Key-Words: Science studies, incomes of university graduates, physics, curriculum guidelines, relaxed education