nils-herrmann/clean_scirepeval huggingface dataset:
Effective 3D based frontalization for unconstrained face recognition
Venue: 2016 23rd International Conference on Pattern Recognition (ICPR)

In this paper, we propose a new and effective frontalization algorithm for frontal rendering of unconstrained face images, and experiment it for face recognition. Initially, a 3DMM is fit to the image, and an interpolating function maps each pixel inside the face region on the image to the 3D model's. Thus, we can render a frontal view without introducing artifacts in the final image thanks to the exact correspondence between each pixel and the 3D coordinate of the model. The 3D model is then back projected onto the frontalized image allowing us to localize image patches where to extract the feature descriptors, and thus enhancing the alignment between the same descriptor over different images. Our solution outperforms other frontalization techniques in terms of face verification. Results comparable to state of the art on two challenging benchmark datasets are also reported, supporting our claim of effectiveness of the proposed face image representation.
Robust Face Frontalization in Unconstrained Images
Venue: CCPR

The goal of face frontalization is to recover frontal facing views of faces appearing in single unconstrained images. The previous works mainly focus on how to achieve the frontal facing views effectively. However, they ignore the influences of the face images with occlusion. To overcome the problem, this paper presents a novel but simple scheme for robust face frontalization with only a single 3D model. We employ the same scheme with T. Hassner's work to render the non frontal facing view to the frontal facing view and estimate the invisible (self occlusion) region. Subsequently, we compute the differences of the local patches around each fixed facial feature points between the average face (male average face or female average face) and test images for occlusion detection. Finally, we combine the proposed local face symmetry strategy and the Poisson image editing to fill the invisible region and occlusion region. Experimental results demonstrate advantages of the proposed method over the previous work.
Generation of Miro's Surrealism
Venue: VINCI

In this paper, we present a programmed experiment and the results on automatic generation of Joan Miro style of surrealism. Combining the artist's aesthetic theory with the authors' own understanding, the paper analyzes the characteristics of Miro's work and proposes a process modeling approach that consists of four steps: structured drawing, adaptive coloring, space filling and noise injection. The generation process is described in details and sample generated images styled on Miro's paintings are also demonstrated and discussed. By extracting and coding pictorial elements in paintings of Miro, different styled images could be generated under different sets of parameters.
Realism Versus Surrealism

Realism and surrealism claim, respectively, that a scientific theory is successful because it is true, and because the world operates as if it is true. Lyons (Philosophy of Science 70(5):891 901, 2003) criticizes realism and argues that surrealism is superior to realism. I reply that Lyons's criticisms against realism fail. I also attempt to establish the following two claims: (1) Realism and surrealism lead to a useful prescription and a useless prescription, respectively, on how to make an unsuccessful theory successful. (2) Realism and surrealism give the credit for the success of a theory to an appropriate factor and to an inappropriate factor, respectively. Finally, I point out that surrealism is vulnerable to my pessimistic induction (Park in Organon F 21(1):3 21, 2014a) against antirealism.
Object Oriented Surrealism: Salvador Dali and the Poetic Autonomy of Things

This essay examines Surrealism in light of the realist turn in contemporary philosophy. Drawing on Graham Harman's writings on object oriented ontology, the essay argues that Surrealist interest in objects (articulated most famously by Walter Benjamin) is best apprehended not through the writings of Andre Breton and Georges Bataille, but rather those of Salvador Dali. The essay demonstrates that Breton and Bataille, despite their long catalogued differences, are united in adhering to an anti realist ontology in which the world of objects is only ever comprehended in relation to the subject's mental experience of them. By contrast, Dali's writings articulate fully object oriented ontology wherein the human subject is understood as a mere thing among other things in the world.
The Impact of Power on Service Customers' Willingness to Post Online Reviews

An increasing number of consumers rely on online reviews to make purchase decisions in today's global service industry. In this article, we investigate the impact of power on a consumer's willingness to spread word of mouth (WOM) by posting an online review. Drawing on self enhancement theory, which suggests that an individual is motivated to spread WOM in order to boost his or her self image, and the agentic versus communal theory of power, we argue that the impact of power is moderated by the valence of the customer's service experience, and its congruity with that of other forum users. Results from three studies in hotel and restaurant contexts indicate that powerless consumers are more likely to post positive reviews when the forum consensus is also positive. Conversely, powerful consumers are more likely to post positive reviews when the overriding consensus is negative. Further, such results hold only for positive (vs. negative) service experiences. Managerially, our findings suggest that introducing power mechanisms such as influence rankings or helpful votes into online consumer forums may shape review posting behaviors. Service marketers and social media managers need to be aware that some customer segments are not inclined to post positive online reviews. As indicated by our findings, powerful consumers, such as those with high helpful ratings or elite reviewer status, are more likely to post positive reviews when the forum consensus is negative. Conversely, powerless consumers, such as those with low helpful ratings or junior reviewer status, might be more inclined to post positive reviews when the forum consensus is also positive. Based on our findings, we also discussed the theoretical contributions, limitations, and ideas for future research.
Visibility of mandibular anatomical landmarks in panoramic radiography: A retrospective study

To determine the frequency, visibility and gender variations of mental foramen (foramen mentale) incisive canal, anterior loop of mental nerve, and mandibular canal (canal mandibulaire) in different age groups.  The study was done in 179 orthopantomograms (OPG) which were taken using Digital Orthophos XG machine. The anatomical landmarks such as mandibular canal, mental foramen, anterior loop of mental nerve, and incisive canal were analyzed in the radiographs and scores were recorded.  According to a sample size of 179, the mandibular canal was visible in 98% In 16% of the cases, with 14% poor perceptibility anterior looping of the mental nerve was visible. The mental foramen showed good visibility in 51% In 23% of the cases, the incisive canal was observed. Chi square test was done which showed the statistical difference with a P 0.05 existed between appearance of mandibular canal and age and difference in P values in males and females in their visibility based on the sample size.  Panoramic radiographs provided sufficient information for mental foramen and mandibular canal. But for better visualization, detection of structures in between for aminal region and for performing surgery for implant placement in this region it may require to be replaced with three dimensional imaging like cone beam computed tomography.
Echinacoside Protects Against MPP+ Induced Neuronal Apoptosis via ROS/ATF3/CHOP Pathway Regulation
Venue: Neuroscience Bulletin

Echinacoside (ECH) is protective in a mouse model of Parkinson's disease (PD) induced by 1 methyl 4 phenylpyridinium ion (MPP+ To investigate the mechanisms involved, SH SY5Y neuroblastoma cells were treated with MPP+ or a combination of MPP+ and ECH, and the expression of ATF3 (activating transcription factor 3) CHOP (C/EBP homologous protein) SCNA (synuclein alpha) and GDNF (glial cell line derived neurotrophic factor) was assessed. The results showed that ECH significantly improved cell survival by inhibiting the generation of MPP+ induced reactive oxygen species (ROS) In addition, ECH suppressed the ROS and MPP+ induced expression of apoptotic genes (ATF3, CHOP, and SCNA) ECH markedly decreased the MPP+ induced caspase 3 activity in a dose dependent manner. ATF3 knockdown also decreased the CHOP and cleaved caspase 3 levels and inhibited the apoptosis induced by MPP+ Interestingly, ECH partially restored the GDNF expression that was down regulated by MPP+ ECH also improved dopaminergic neuron survival during MPP+ treatment and protected these neurons against the apoptosis induced by MPTP. Taken together, these data suggest that the ROS/ATF3/CHOP pathway plays a critical role in mechanisms by which ECH protects against MPP+ induced apoptosis in PD.
Service Oriented Communication for Controller Area Networks
Venue: 2016 IEEE 84th Vehicular Technology Conference (VTC Fall)

The appearance of high performance connectivity (e.g. Automotive Ethernet, C2X Communication) will enable seamless integration of cloud based services into the vehicle's Electric/Electronic (E/E) architecture. This new development poses several challenges regarding in vehicle communication such as the need for runtime adaptive communication or the establishment of continuous connectivity between functionality hosted in the cloud and on deeply embedded Electronic Control Units (ECUs) These upcoming challenges can be tackled by the introduction of Service Oriented Communication (SOC) protocols into the vehicle's communication system. For Ethernet a first standard has been defined with AUTOSAR's SOME/IP. However, today's most used automotive communication bus is still the Controller Area Network (CAN) bus. This paper introduces a concept and a first implementation of a service oriented communication protocol for CAN.
Engineering solutions for polymer composites solar water heaters production

Analysis of engineering solutions aimed at a considerable decrease of solar water heaters cost via the use of polymer composites in heaters construction and solar collector and heat storage integration into a single device representing an integrated unit results are considered. Possibilities of creating solar water heaters of only three components and changing welding, soldering, mechanical treatment, and assembly of a complicate construction for large components molding of polymer composites and their gluing are demonstrated. Materials of unit components and engineering solutions for their manufacturing are analyzed with consideration for construction requirements of solar water heaters. Optimal materials are fiber glass and carbon filled plastics based on hot cure thermosets, and an optimal molding technology is hot molding. It is necessary to manufacture the absorbing panel as corrugated and to use a special paint as its selective coating. Parameters of the unit have been optimized by calculation. Developed two dimensional numerical model of the unit demonstrates good agreement with the experiment. Optimal ratio of daily load to receiving surface area of a solar water heater operating on a clear summer day in the midland of Russia is 130 150 L/m2. Storage tank volume and load schedule have a slight effect on solar water heater output. A thermal insulation layer of 35 40 mm is sufficient to provide an efficient thermal insulation of the back and side walls. An experimental model layout representing a solar water heater prototype of a prime cost of $70 90/(m2 receiving surface) has been developed for a manufacturing volume of no less than 5000 pieces per year.
Cladding Modified with PANI Oxalic Acid Composite Glucose Oxidase Immobilized Fiber Optic Intrinsic Glucose Biosensor

Polyaniline (PANI) and its composites have drawn considerable interest because of their economical importance, good environmental stability and satisfactory conductivity among the conductive polymers. Polymers are playing an increasingly important role in the development of biosensors. The use of conducting polymer composites for the construction of biosensor is increasing nowadays for the immobilization of biomolecules as it enhances the activity and performance of the sensor. In the present investigation, we have used PANI oxalic acid (OA) for the cladding modification to prepare fiber optic intrinsic glucose biosensor (FOIGB) for detection of glucose. PANI OA composite have shown good binding toward enzyme glucose oxidase (GOx) and high biological activity that results in enhanced sensing characteristics. This investigation highlights approach to synthesize PANI OA composite and its applications in cladding modified FOIB technology. The characterizations were made using X ray diffraction and scanning electron microscopy (SEM) techniques. The results revealed the formation of homogeneous, PANI OA film on sensing element. The sensing response of FOIGB toward glucose was measured by monitoring variation in power with varying glucose concentration.
Assessing impact of dual sensor enhanced flight vision systems on departure performance
Venue: SPIE Defense Security

Synthetic Vision (SV) and Enhanced Flight Vision Systems (EFVS) may serve as game changing technologies to meet the challenges of the Next Generation Air Transportation System and the envisioned Equivalent Visual Operations (EVO) concept that is, the ability to achieve the safety and operational tempos of current day Visual Flight Rules operations irrespective of the weather and visibility conditions. One significant obstacle lies in the definition of required equipage on the aircraft and on the airport to enable the EVO concept objective. A motion base simulator experiment was conducted to evaluate the operational feasibility and pilot workload of conducting departures and approaches on runways without centerline lighting in visibility as low as 300 feet runway visual range (RVR) by use of onboard vision system technologies on a Head Up Display (HUD) without need or reliance on natural vision. Twelve crews evaluated two methods of combining dual sensor (millimeter wave radar and forward looking infrared) EFVS imagery on pilot flying and pilot monitoring HUDs. In addition, the impact of adding SV to the dual sensor EFVS imagery on crew flight performance and workload was assessed. Using EFVS concepts during 300 RVR terminal operations on runways without centerline lighting appears feasible as all EFVS concepts had equivalent (or better) departure performance and landing rollout performance, without any workload penalty, than those flown with a conventional HUD to runways having centerline lighting. Adding SV imagery to EFVS concepts provided situation awareness improvements but no discernible improvements in flight path maintenance.
Research Into the Pragmatics of Human Communication

This article surveys recent research on interpersonal communication conducted by the Victoria Group and organizes the findings according to the "axioms" proposed in Pragmatics of human communication (Watzlawick, Beavin, Jackson, 1967) The topics include: establishing when a nonverbal behaviour is a nonverbal communication; investigations of "one cannot not communicate," including disqualified (equivocal) communication; studies of the communicative context in psychological research; verbal and nonverbal relationship level communication; analogically encoded nonverbal acts; and interpersonal systems. Some of the original propositions have been supported, others modified, and some substantially changed. The relation of research to clinical practice is discussed.
Perspectives in Shape Analysis
Venue: Mathematics and Visualization

Part I Numerical Computing for Shape Analysis: 1 Ornament Analysis with the Help of Screened Poisson Shape Fields: S. Tari. 2 A Comparison of Non Lambertian Models for the Shape from Shading Problem: S. Tozza and M. Falcone. 3 Direct Variational Perspective Shape from Shading with Cartesian Depth Parameterisation Y. Chul Ju et al. 4 Amoeba Techniques for Shape and Texture Analysis: M. Welk. 5 Increasing the Power of Shape Descriptor Based Object Analysis Techniques: J. Zunic et al. 6 Shape Distances for Binary Image Segmentation F.R. Schmidt et al. 7 Segmentation in Point Clouds from RGB D using Spectral Graph Reduction: M. Keuper and Th. Brox. Part II Sparse Data Representation and Machine Learning for Shape Analysis: 8 Shape Compaction: H. Li and H. Zhang. 9 Homological Shape Analysis through Discrete Morse Theory: L. de Floriani et al. 10 Sparse Modeling of Intrinsic Correspondences: J. Pokrass et al. 11 Applying Random Forests to the Problem of Dense Non Rigid Shape Correspondence: M. Vestner et al. 12 Accelerating Deformable Part Models with Branch and Bound: I. Kokkinos. Part III Deformable Shape Modeling: 13 Non Rigid Shape Correspondence in the Spectral Domain: A. Dubrovina. 14 The Perspective Face Shape Ambiguity: W.A.P. Smith. 15 On Shape Recognition and Language: P. Maragos. 16 Tongue Mesh Extraction from 3D MRI Data of the Human Vocal Tract: A. Hewer et al.
Autonomous Learning through Task based Instruction in Fully Online Language Courses

Lina Lee, University of New Hampshire This study investigated the affordances for autonomous learning in a fully online learning environment involving the implementation of task based instruction in conjunction with Web 2.0 technologies. To that end, four skill integrated tasks and digital tools were incorporated into the coursework. Data were collected using midterm reflections, postsurveys and final interviews from two online elementary language courses. The results indicate that the types of tasks and digital tools utilized fostered learner autonomy in different ways. Structured tasks enabled students to work independently to create content, whereas open ended tasks allowed them more freedom in exploring the understanding of a particular topic through social interaction. Significantly, teacher scaffolding through modeling and timely feedback affected student self regulated efforts in online learning. The study concludes that personal commitment to the coursework and cognitive engagement with the learning material contributed to the degree of learning autonomy and the level of social interaction in fully online language learning.
Acoustics Of Ducts And Mufflers With Application To Exhaust And Ventilation System Design

Thank you very much for downloading acoustics of ducts and mufflers with application to exhaust and ventilation system design. As you may know, people have look hundreds times for their favorite readings like this acoustics of ducts and mufflers with application to exhaust and ventilation system design, but end up in infectious downloads. Rather than reading a good book with a cup of coffee in the afternoon, instead they juggled with some infectious bugs inside their computer.
Compositionality in the Science of System Design
Venue: Proceedings of the IEEE

Is there a science of system design? Just like any other design activity, system design is partly an art. However, mathematical theories and computer automation can help, and are even essential for designing complex systems reliably and economically. Until today, the plethora of different types of systems has resulted in a fragmented space of theories and tools. The advent of cyber physical systems, which are by definition multidisciplinary, has urged researchers to rethink systems and system design, with model based methods gaining acceptance. This paper describes some of the challenges in the domain, expanding on the key principle of compositionality.
Distributed and parallel time series feature extraction for industrial big data applications
Venue: ArXiv

The all relevant problem of feature selection is the identification of all strongly and weakly relevant attributes. This problem is especially hard to solve for time series classification and regression in industrial applications such as predictive maintenance or production line optimization, for which each label or regression target is associated with several time series and meta information simultaneously. Here, we are proposing an efficient, scalable feature extraction algorithm for time series, which filters the available features in an early stage of the machine learning pipeline with respect to their significance for the classification or regression task, while controlling the expected percentage of selected but irrelevant features. The proposed algorithm combines established feature extraction methods with a feature importance filter. It has a low computational complexity, allows to start on a problem with only limited domain knowledge available, can be trivially parallelized, is highly scalable and based on well studied non parametric hypothesis tests. We benchmark our proposed algorithm on all binary classification problems of the UCR time series classification archive as well as time series from a production line optimization project and simulated stochastic processes with underlying qualitative change of dynamics.
Risk Assessment for Cooperative Automated Driving
Venue: CPS SPC '16

Global investment and recent advancements in vehicle automation are making autonomous and cooperative automated driving (AD) a reality. Not only will automated vehicles incorporate more electronics and connectivity than ever before, but also, notably, they will transfer control and responsibility of monitoring the environment from a human driver to a robotic system. While prior work has assessed and provided security solutions for non automated vehicles, there is much to understand regarding the security implications of AD. In this work, we begin to address this gap in understanding. This paper reports on a risk assessment framework for autonomous and cooperative AD. We aggregate the state of the art in AD research to define a reference architecture for automated vehicles, describing the new attack surfaces and data flow. Employing existing automotive threat models, we propose a novel application based threat enumeration and analysis approach that is able to address different AD applications across all levels of automation. We demonstrate this framework with an example application assessment and summarize the results and security insights from analyses of other applications. The results of our risk assessment and future assessments with this framework will inform on the design of security solutions and secure architectures for production AD systems.
Interpersonal surveillance over social network sites

Surveillance has long been used as a way to guard against dangers lurking in one's immediate environment. Humans have carried over this evolutionarily adaptive solution to the maintenance of their interpersonal relationships. The landscape of relational surveillance has dramatically changed with the inception of Internet platforms, such as social networking sites. The goal of this investigation is to understand the motives of online surveillance in romantic relationships. Patterns of negative relational maintenance behaviors and the investment model were used to predict relational determinants of surveillance over social networking sites. A cross sectional survey design was employed to collect data from college student and nonstudent adult populations. The results find that indicators of low quality relationships, such as low satisfaction, are associated with online surveillance. Interpersonal surveillance over social networking sites is in turn related to larger amounts of time spent on romantic partners' profile pages.