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632589828c8b9fca2c3a59e97451fde8fa7d188d | An evolutionary recurrent network which automates the design of recurrent neural/fuzzy networks using a new evolutionary learning algorithm is proposed in this paper. This new evolutionary learning algorithm is based on a hybrid of genetic algorithm (GA) and particle swarm optimization (PSO), and is thus called HGAPSO.... | A hybrid of genetic algorithm and particle swarm optimization for recurrent network design | null | null | null | null | null |
86e87db2dab958f1bd5877dc7d5b8105d6e31e46 | Dynamic economic dispatch (DED) is one of the main functions of power generation operation and control. It determines the optimal settings of generator units with predicted load demand over a certain period of time. The objective is to operate an electric power system most economically while the system is operating wit... | A Hybrid EP and SQP for Dynamic Economic Dispatch with Nonsmooth Fuel Cost Function | null | null | null | null | null |
2a047d8c4c2a4825e0f0305294e7da14f8de6fd3 | It's not surprisingly when entering this site to get the book. One of the popular books now is the genetic fuzzy systems evolutionary tuning and learning of fuzzy knowledge bases. You may be confused because you can't find the book in the book store around your city. Commonly, the popular book will be sold quickly. And... | Genetic Fuzzy Systems - Evolutionary Tuning and Learning of Fuzzy Knowledge Bases | null | null | null | null | null |
506172b0e0dd4269bdcfe96dda9ea9d8602bbfb6 | In this paper, we introduce a new parameter, called inertia weight, into the original particle swarm optimizer. Simulations have been done to illustrate the signilicant and effective impact of this new parameter on the particle swarm optimizer. | A modified particle swarm optimizer | null | null | null | null | null |
51317b6082322a96b4570818b7a5ec8b2e330f2f | This paper proposes a recurrent fuzzy neural network (RFNN) structure for identifying and controlling nonlinear dynamic systems. The RFNN is inherently a recurrent multilayered connectionist network for realizing fuzzy inference using dynamic fuzzy rules. Temporal relations are embedded in the network by adding feedbac... | Identification and control of dynamic systems using recurrent fuzzy neural networks | null | null | null | null | null |
857a8c6c46b0a85ed6019f5830294872f2f1dcf5 | Recent reports of a high response to bodies in the fusiform face area (FFA) challenge the idea that the FFA is exclusively selective for face stimuli. We examined this claim by conducting a functional magnetic resonance imaging experiment at both standard (3.125 x 3.125 x 4.0 mm) and high resolution (1.4 x 1.4 x 2.0 mm... | Separate face and body selectivity on the fusiform gyrus. | null | null | null | null | null |
12f107016fd3d062dff88a00d6b0f5f81f00522d | The energy usage of computer systems is becoming more important, especially for battery operated systems. Displays, disks, and cpus, in that order, use the most energy. Reducing the energy used by displays and disks has been studied elsewhere; this paper considers a new method for reducing the energy used by the cpu. W... | Scheduling for Reduced CPU Energy | null | null | null | null | null |
1ae0ac5e13134df7a0d670fc08c2b404f1e3803c | Mobility prediction is one of the most essential issues that need to be explored for mobility management in mobile computing systems. In this paper, we propose a new algorithm for predicting the next inter-cell movement of a mobile user in a Personal Communication Systems network. In the first phase of our threephase a... | A data mining approach for location prediction in mobile environments | null | null | null | null | null |
7d3c9c4064b588d5d8c7c0cb398118aac239c71b | We study the problem of structural graph clustering, a fundamental problem in managing and analyzing graph data. Given an undirected unweighted graph, structural graph clustering is to assign vertices to clusters, and to identify the sets of hub vertices and outlier vertices as well, such that vertices in the same clus... | $\mathsf {pSCAN}$ : Fast and Exact Structural Graph Clustering | null | null | null | null | null |
305c45fb798afdad9e6d34505b4195fa37c2ee4f | Iron, the most ubiquitous of the transition metals and the fourth most plentiful element in the Earth's crust, is the structural backbone of our modern infrastructure. It is therefore ironic that as a nanoparticle, iron has been somewhat neglected in favor of its own oxides, as well as other metals such as cobalt, nick... | Synthesis, properties, and applications of iron nanoparticles. | null | null | null | null | null |
9f234867df1f335a76ea07933e4ae1bd34eeb48a | ADVERTIMENT. La consulta d’aquesta tesi queda condicionada a l’acceptació de les següents condicions d'ús: La difusió d’aquesta tesi per mitjà del servei TDX (www.tdx.cat) i a través del Dipòsit Digital de la UB (diposit.ub.edu) ha estat autoritzada pels titulars dels drets de propietat intel·lectual únicament per a us... | Automatic Machine Translation Evaluation: A Qualitative Approach | null | null | null | null | null |
5ebfcd50c56e51aada28ccecd041db5e002f5862 | This paper describes the genesis of Gualzru, a robot commissioned by a large Spanish technological company to provide advertisement services in open public spaces. Gualzru has to stand by at an interactive panel observing the people passing by and, at some point, select a promising candidate and approach her to initiat... | Gualzru's Path to the Advertisement World | null | null | null | null | null |
73a7144e072356b5c9512bd4a87b22457d33760c | Treatment effects can be estimated from observational data as the difference in potential outcomes. In this paper, we address the challenge of estimating the potential outcome when treatment-dose levels can vary continuously over time. Further, the outcome variable may not be measured at a regular frequency. Our propos... | Treatment-Response Models for Counterfactual Reasoning with Continuous-time, Continuous-valued Interventions | null | null | null | null | null |
c2aa3c7fd59a43c949844e98569429261dba36e6 | A planar helical antenna is presented for achieving wideband end-fire radiation of circular polarization while maintaining a very low profile. The helix is formed using printed strips with straight-edge connections implemented by plated viaholes. The currents flowing on the strips and along via-holes of the helix contr... | Planar Helical Antenna of Circular Polarization | null | null | null | null | null |
befdf0eb1a3d2e0d404e7fbdb43438be7ae607e5 | Context
Common concerns when using low-calorie diets as a treatment for obesity are the reduction in fat-free mass, mostly muscular mass, that occurs together with the fat mass (FM) loss, and determining the best methodologies to evaluate body composition changes.
Objective
This study aimed to evaluate the very-low-c... | Body Composition Changes After Very-Low-Calorie Ketogenic Diet in Obesity Evaluated by 3 Standardized Methods. | null | null | null | null | null |
506d4ca228f81715946ed1ad8d9205fad20fddfe | According to art theory, pictorial balance acts to unify picture elements into a cohesive composition. For asymmetrical compositions, balancing elements is thought to be similar to balancing mechanical weights in a framework of symmetry axes. Assessment of preference for balance (APB), based on the symmetry-axes framew... | Measuring pictorial balance perception at first glance using Japanese calligraphy | null | null | null | null | null |
772205182fbb6ad842df4a6cd937741145eeece0 | Background: Smoking has long been suspected to be a risk factor for cervical cancer. However, not all previous studies have properly controlled for the effect of human papillomavirus (HPV) infection, which has now been established as a virtually necessary cause of cervical cancer. To evaluate the role of smoking as a c... | Smoking and cervical cancer: pooled analysis of the IARC multi-centric case–control study | null | null | null | null | null |
d2018e51b772aba852e54ccc0ba7f0b7c2792115 | This paper analyzes the main challenges associated with noninvasive, continuous, wearable, and long-term breathing monitoring. The characteristics of an acoustic breathing signal from a miniature sensor are studied in the presence of sources of noise and interference artifacts that affect the signal. Based on these res... | Breathing Detection: Towards a Miniaturized, Wearable, Battery-Operated Monitoring System | null | null | null | null | null |
cc76f5d348ab6c3a20ab4adb285fc1ad96d3c009 | We introduce a long short-term memory recurrent neural network (LSTM-RNN) approach for real-time facial animation, which automatically estimates head rotation and facial action unit activations of a speaker from just her speech. Specifically, the time-varying contextual non-linear mapping between audio stream and visua... | Speech-driven 3 D Facial Animation with Implicit Emotional Awareness : A Deep Learning Approach | null | null | null | null | null |
1b2a0e8af5c1f18e47e71244973ce4ace4ac6034 | Hierarchical Pitman-Yor Process priors are compelling methods for learning language models, outperforming point-estimate based methods. However, these models remain unpopular due to computational and statistical inference issues, such as memory and time usage, as well as poor mixing of sampler. In this work we propose ... | Compressed Nonparametric Language Modelling | null | null | null | null | null |
c9d41f115eae5e03c5ed45c663d9435cb66ec942 | This paper introduces a new compositional framework for classifying color correction methods according to their two main computational units. The framework was used to dissect fifteen among the best color correction algorithms and the computational units so derived, with the addition of four new units specifically desi... | Dissecting and Reassembling Color Correction Algorithms for Image Stitching | null | null | null | null | null |
b579366db457216b0548220bf369ab9eb183a0cc | Software even though intangible should undergo evolution to fit into the ever changing real world scenarios. Each issue faced by the development and service team directly reflects in the quality of the software product. According to the related work, very few research is going on in the field of ticket and its related ... | An analysis on the significance of ticket analytics and defect analysis from software quality perspective | null | null | null | null | null |
f69253e97f487b9d77b72553a9115fc814e3ed51 | With the development of online advertisements, clickbait spread wider and wider. Clickbait dissatisfies users because the article content does not match their expectation. Thus, clickbait detection has attracted more and more attention recently. Traditional clickbait-detection methods rely on heavy feature engineering ... | Clickbait Convolutional Neural Network | null | null | null | null | null |
6c9bd4bd7e30470e069f8600dadb4fd6d2de6bc1 | This paper describes a new language resource of events and semantic roles that characterize real-world situations. Narrative schemas contain sets of related events (edit and publish), a temporal ordering of the events (edit before publish), and the semantic roles of the participants (authors publish books). This type o... | A Database of Narrative Schemas | null | null | null | null | null |
a72daf1fc4b1fc16d3c8a2e33f9aac6e17461d9a | Recommender systems have been used in many domains to assist users' decision making by providing item recommendations and thereby reducing information overload. Context-aware recommender systems go further, incorporating the variability of users' preferences across contexts, and suggesting items that are appropriate in... | User-Oriented Context Suggestion | null | null | null | null | null |
585da6b6355f3536e1b12b30ef4c3ea54b955f2d | Twitter, the popular microblogging site, has received increasing attention as a unique communication tool that facilitates electronic word-of-mouth (eWOM). To gain greater insight into this potential, this study investigates how consumers’ relationships with brands influence their engagement in retweeting brand message... | Brand followers' retweeting behavior on Twitter: How brand relationships influence brand electronic word-of-mouth | null | null | null | null | null |
d18cc66f7f87e041dec544a0b843496085ab54e1 | Theories on the functions of the hippocampal system are based largely on two fundamental discoveries: the amnestic consequences of removing the hippocampus and associated structures in the famous patient H.M. and the observation that spiking activity of hippocampal neurons is associated with the spatial position of the... | Memory, navigation and theta rhythm in the hippocampal-entorhinal system | null | null | null | null | null |
22fc3af1fb55d48f3c03cd96f277503e92541c60 | In this work, a cost function design based on Lyapunov stability concepts for finite control set model predictive control is proposed. This predictive controller design allows one to characterize the performance of the controlled converter, while providing sufficient conditions for local stability for a class of power ... | Predictive Control of Power Converters: Designs With Guaranteed Performance | null | null | null | null | null |
4114c89bec92ebde7c20d12d0303281983ed1df8 | This paper presents Swift, a packet filter for high-performance packet capture on commercial off-the-shelf hardware. The key features of the Swift include: 1) extremely lowfilter update latency for dynamic packet filtering, and 2) gigabits-per-second high-speed packet processing. Based on complex instruction set comput... | Design and Implementation of a Fast Dynamic Packet Filter | null | null | null | null | null |
8e508720cdb495b7821bf6e43c740eeb5f3a444a | Many applications in speech, robotics, finance, and biology deal with sequential data, where ordering matters and recurrent structures are common. However, this structure cannot be easily captured by standard kernel functions. To model such structure, we propose expressive closed-form kernel functions for Gaussian proc... | Learning Scalable Deep Kernels with Recurrent
Structure | null | null | null | null | null |
110599f48c30251aba60f68b8484a7b0307bcb87 | This report summarizes the objectives and evaluation of the SemEval 2015 task on the sentiment analysis of figurative language on Twitter (Task 11). This is the first sentiment analysis task wholly dedicated to analyzing figurative language on Twitter. Specifically, three broad classes of figurative language are consid... | SemEval-2015 Task 11: Sentiment Analysis of Figurative Language in Twitter | null | null | null | null | null |
4b53f660eb6cfe9180f9e609ad94df8606724a3d | In this paper a novel approach is proposed to predict intraday directional-movements of a currency-pair in the foreign exchange market based on the text of breaking financial news-headlines. The motivation behind this work is twofold: First, although market-prediction through text-mining is shown to be a promising area... | Text mining of news-headlines for FOREX market prediction: A Multi-layer Dimension Reduction Algorithm with semantics and sentiment | null | null | null | null | null |
7f90ef42f22d4f9b86d33b0ad7f16261273c8612 | a r t i c l e i n f o a b s t r a c t We present an automatic approach to the construction of BabelNet, a very large, wide-coverage multilingual semantic network. Key to our approach is the integration of lexicographic and encyclopedic knowledge from WordNet and Wikipedia. In addition, Machine Translation is applied to... | BabelNet: The automatic construction, evaluation and application of a wide-coverage multilingual semantic network | null | null | null | null | null |
033b62167e7358c429738092109311af696e9137 | This paper presents a simple unsupervised learning algorithm for classifying reviews as recommended (thumbs up) or not recommended (thumbs down). The classification of a review is predicted by the average semantic orientation of the phrases in the review that contain adjectives or adverbs. A phrase has a positive seman... | Thumbs Up or Thumbs Down? Semantic Orientation Applied to Unsupervised Classification of Reviews | null | null | null | null | null |
105a0b3826710356e218685f87b20fe39c64c706 | The Web has become an excellent source for gathering consumer opinions. There are now numerous Web sites containing such opinions, e.g., customer reviews of products, forums, discussion groups, and blogs. This paper focuses on online customer reviews of products. It makes two contributions. First, it proposes a novel f... | Opinion observer: analyzing and comparing opinions on the Web | null | null | null | null | null |
9ea16bc34448ca9d713f4501f1a6215a26746372 | Software organizations have typically de-emphasized the importance of software testing. In this paper, the results of a regional survey of software testing and software quality assurance techniques are described. Researchers conducted the study during the summer and fall of 2002 by surveying software organizations in t... | A survey of software testing practices in alberta | null | null | null | null | null |
746cafc676374114198c414d6426ec2f50e0ff80 | This paper proposes a small-signal model for average current mode control based on an equivalent circuit. The model uses a three-terminal equivalent circuit model based on a linearized describing function method to include the feedback effect of the sideband frequency components of the inductor current. The model exten... | Analysis and Design of Average Current Mode Control Using a Describing-Function-Based Equivalent Circuit Model | null | null | null | null | null |
2b337d6a72c8c2b1d97097dc24ec0e9a8d4c2186 | Classifying short texts to one category or clustering semantically related texts is challenging, and the importance of both is growing due to the rise of microblogging platforms, digital news feeds, and the like. We can accomplish this classifying and clustering with the help of a deep neural network which produces com... | Using deep learning for short text understanding | null | null | null | null | null |
1d53a898850b8d055db80ba99c59c89b080dfc4c | Person detection and pose estimation is a key requirement to develop intelligent context-aware assistance systems. To foster the development of human pose estimation methods and their applications in the Operating Room (OR), we release the Multi-View Operating Room (MVOR) dataset, the first public dataset recorded duri... | MVOR: A Multi-view RGB-D Operating Room Dataset for 2D and 3D Human Pose Estimation | null | null | null | null | null |
954d0346b5cdf3f1ec0fcc74ae5aadc5b733adc0 | This mixed-method study focuses on online learning analytics, a research area of importance. Several important student attributes and their online activities are examined to identify what seems to work best to predict higher grades. The purpose is to explore the relationships between student grade and key learning enga... | Beyond engagement analytics: which online mixed-data factors predict student learning outcomes? | null | null | null | null | null |
483b94374944293d2a6d36cc1c97f0544ce3c79c | A lot of effort has been made in the last decades to reveal, which hotel attributes guest care about. Due to the high costs that are typically involved with investments in the hotel industry, it makes a lot of sense to study, which product components the travellers appreciate. This study reveals that hotel attribute re... | Which Hotel attributes Matter ? A review of previous and a framework for future research | null | null | null | null | null |
54c377407242e74e7c08e4a49e61837fd9ce2b25 | In this paper, a comprehensive model of the variable-speed constant-frequency aircraft electric power system is developed to study the performance characteristics of the system and, in particular, the system power quality over a frequency range of operation of 400 Hz to 800 Hz. A fully controlled active power filter is... | On Power Quality of Variable-Speed Constant-Frequency Aircraft Electric Power Systems | null | null | null | null | null |
9d1940f843c448cc378214ff6bad3c1279b1911a | We address the problem of instance-level semantic segmentation, which aims at jointly detecting, segmenting and classifying every individual object in an image. In this context, existing methods typically propose candidate objects, usually as bounding boxes, and directly predict a binary mask within each such proposal.... | Shape-aware Instance Segmentation | null | null | null | null | null |
4d0130e95925b00a2d1ecba931a1a05a74370f3f | There is a strong demand in many fields for practical robots, such as a porter robot and a personal mobility robot, that can move over rough terrain while carrying a load horizontally. We have developed a robot, called RT-Mover, which shows adequate mobility performance on targeted types of rough terrain. It has four d... | RT-Mover: a rough terrain mobile robot with a simple leg-wheel hybrid mechanism | null | null | null | null | null |
0651f838d918586ec1df66450c3d324602c9f59e | Social-networking users unknowingly reveal certain kinds of personal information that malicious attackers could profit from to perpetrate significant privacy breaches. This paper quantitatively demonstrates how the simple act of tagging pictures on the social-networking site of Facebook could reveal private user attrib... | Privacy attacks in social media using photo tagging networks: a case study with Facebook | null | null | null | null | null |
4c9774c5e57a4b7535eb19f6584f75c8b9c2cdcc | Cloud computing is an emerging computing model in which resources of the computing communications are provided as services over the Internet. Privacy and security of cloud storage services are very important and become a challenge in cloud computing due to loss of control over data and its dependence on the cloud compu... | A framework based on RSA and AES encryption algorithms for cloud computing services | null | null | null | null | null |
e645cbd3aaeab56858f1e752677b8792d7377d14 | The presented work aims at generating a systematically annotated corpus that can support the enhancement of sentiment analysis tasks in Telugu using wordlevel sentiment annotations. From OntoSenseNet, we extracted 11,000 adjectives, 253 adverbs, 8483 verbs and sentiment annotation is being done by language experts. We ... | BCSAT : A Benchmark Corpus for Sentiment Analysis in Telugu Using Word-level Annotations | null | null | null | null | null |
40f5430ef326838d5b7ce018f62e51c188d7cdd7 | This paper proposes quiz-style information presentation for interactive systems as a means to improve user understanding in educational tasks. Since the nature of quizzes can highly motivate users to stay voluntarily engaged in the interaction and keep their attention on receiving information, it is expected that infor... | Effects of quiz-style information presentation on user understanding | null | null | null | null | null |
24bbff699187ad6bf37e447627de1ca25267a770 | This paper presents the results of a bibliometric study about the evolution of research on Continuous Auditing. This study has as main motivation to find reasons for the very slow evolvement of research on this topic. In addition, Continuous Auditing is one of the features of the emerging concept of Continuous Assuranc... | Research on continuous auditing: A bibliometric analysis | null | null | null | null | null |
abd0478f1572d8ecdca4738df3e4b3bd116d7b42 | This study directly tests the effect of personality and cognitive style on three measures of Internet use. The results support the use of personality—but not cognitive style—as an antecedent variable. After controlling for computer anxiety, selfefficacy, and gender, including the “Big Five” personality factors in the a... | Dispositional Factors in Internet Use: Personality Versus Cognitive Style | null | null | null | null | null |
a64f48f9810c4788236f31dc2a9b87dd02977c3e | • Averaged frequency responses at different 16, and 24 kHz. External sampling rate does not tell the internal sampling rate. • Supported signal bandwidth depends on bitrate, but no documentation exists bandwidths were found out expirementally • We tested 32kHz sampling with 16ms frame length. There is also 8 ms lookahe... | Voice quality evaluation of recent open source codecs | null | null | null | null | null |
76eea8436996c7e9c8f7ad3dac34a12865edab24 | Chain replication is a new approach to coordinating clusters of fail-stop storage servers. The approach is intended for supporting large-scale storage services that exhibit high throughput and availability without sacrificing strong consistency guarantees. Besides outlining the chain replication protocols themselves, s... | Chain Replication for Supporting High Throughput and Availability | null | null | null | null | null |
522a7178e501018e442c03f4b93e29f62ae1eb64 | We introduce a technique for augmenting neural text-to-speech (TTS) with lowdimensional trainable speaker embeddings to generate different voices from a single model. As a starting point, we show improvements over the two state-ofthe-art approaches for single-speaker neural TTS: Deep Voice 1 and Tacotron. We introduce ... | Deep Voice 2 : Multi-Speaker Neural Text-to-Speech | null | null | null | null | null |
ccbcaf528a222d04f40fd03b3cb89d5f78acbdc6 | -The huge amounts of data generated by healthcare transactions are too complex and voluminous to be processed and analyzed by traditional methods. Data mining provides the methodology and technology to transform these mounds of data into useful information for decision making. The Healthcare industry is generally “info... | A Literature Review on Kidney Disease Prediction using Data Mining Classification Technique | null | null | null | null | null |
30f46fdfe1fdab60bdecaa27aaa94526dfd87ac1 | We propose a method which can perform real-time 3D reconstruction from a single hand-held event camera with no additional sensing, and works in unstructured scenes of which it has no prior knowledge. It is based on three decoupled probabilistic filters, each estimating 6-DoF camera motion, scene logarithmic (log) inten... | Real-Time 3D Reconstruction and 6-DoF Tracking with an Event Camera | null | null | null | null | null |
892fea843d58852a835f38087bc3b5102123f567 | A (t; k; n; S) ramp scheme is a protocol to distribute a secret s chosen inS among a setP of n participants in such a way that: 1) sets of participants of cardinality greater than or equal to k can reconstruct the secrets; 2) sets of participants of cardinality less than or equal tot have no information on s, whereas 3... | Multiple ramp schemes | null | null | null | null | null |
ce148df015fc488ac6fc022dac3da53c141e0ea8 | Precision medicine and personalized health efforts propose leveraging complex molecular, medical and family history, along with other types of personal data toward better life. We argue that this ambitious objective will require advanced and specialized machine learning solutions. Simply skimming some low-hanging resul... | Protein function in precision medicine: deep understanding with machine learning. | null | null | null | null | null |
38d34b02820020aac7f060e84bb6c01b4dee665a | Ž . Design management and process management are two important elements of total quality management TQM implementation. They are drastically different in their targets of improvement, visibility, and techniques. In this paper, we establish a framework for identifying the synergistic linkages of design and process manag... | The impact of design management and process management on quality : an empirical investigation | null | null | null | null | null |
b09b43cacd45fd922f7f85b1f8514cb4a775ca5d | Web services have attracted much attention from distributed application designers and developers because of their roles in abstraction and interoperability among heterogeneous software systems, and a growing number of distributed software applications have been published as Web services on the Internet. Faced with the ... | A Web Service Discovery Approach Based on Common Topic Groups Extraction | null | null | null | null | null |
c108437a57bd8f8eaed9e26360ee100074e3f3fc | In this paper, we will consider the approximation properties of a recently introduced neural network model called graph neural network (GNN), which can be used to process-structured data inputs, e.g., acyclic graphs, cyclic graphs, and directed or undirected graphs. This class of neural networks implements a function t... | Computational Capabilities of Graph Neural Networks | null | null | null | null | null |
28d3ec156472c35ea8e1b7acad969b725111fe56 | Sociological and technical difficulties, such as a lack of informal encounters, can make it difficult for new members of noncollocated software development teams to learn from their more experienced colleagues. To address this situation, we have developed a tool, named Hipikat that provides developers with efficient an... | Hipikat: a project memory for software development | null | null | null | null | null |
334c4806912d851ef2117e67728cfa624dbec9a3 | Given the central role that software development plays in the delivery and application of information technology, managers are increasingly focusing on process improvement in the software development area. This demand has spurred the provision of a number of new and/or improved approaches to software development, with ... | A Metrics Suite for Object Oriented Design | null | null | null | null | null |
383ca85aaca9f306ea7ae04fb0b6b76f1e393395 | According to its proponents, open source style software development has the capacity to compete successfully, and perhaps in many cases displace, traditional commercial development methods. In order to begin investigating such claims, we examine data from two major open source projects, the Apache web server and the Mo... | Two case studies of open source software development: Apache and Mozilla | null | null | null | null | null |
3ea9cd35f39e8c128f39f13148e91466715f4ee2 | A file comparison program produces a list of differences between two files. These differences can be couched in terms of lines, e.g. by telling which lines must be inserted, deleted or moved to convert the first file to the second. Alternatively, the list of differences can identify individual bytes. Byte-oriented comp... | A File Comparison Program | null | null | null | null | null |
508119a50e3d4e8b7116c1b56a002de492b2270b | Finding basic objects on a daily basis is a difficult but common task for blind people. This paper demonstrates the implementation of a wearable, deep learning backed, object detection approach in the context of visual impairment or blindness. The prototype aims to substitute the impaired eye of the user and replace it... | Object Detection Featuring 3D Audio Localization for Microsoft HoloLens - A Deep Learning based Sensor Substitution Approach for the Blind | null | null | null | null | null |
c0a39b1b64100b929ec77d33232513ec72089a2e | PENG is a computer-processable controlled natural language designed for writing unambiguous and precise specifications. PENG covers a strict subset of standard English and is precisely defined by a controlled grammar and a controlled lexicon. In contrast to other controlled languages, the author does not need to know t... | English as a Formal Specification Language | null | null | null | null | null |
f9cf246008d745f883914d925567bb36df806613 | Airborne wind energy systems aim to harvest the power of winds blowing at altitudes higher than what conventional wind turbines reach. They employ a tethered flying structure, usually a wing, and exploit the aerodynamic lift to produce electrical power. In the case of ground-based systems, where the traction force on t... | Automatic Retraction and Full-Cycle Operation for a Class of Airborne Wind Energy Generators | null | null | null | null | null |
53c544145d2fe5fe8c44584f44f36f74393b983e | This paper addresses the problem of simulating deformations between objects and the hand of a synthetic character during a grasping process. A numerical method based on finite element theory allows us to take into account the active forces of the fingers on the object and the reactive forces of the object on the finger... | Simulation of object and human skin formations in a grasping task | null | null | null | null | null |
0eaa75861d9e17f2c95bd3f80f48db95bf68a50c | Electromigration (EM) is one of the key concerns going forward for interconnect reliability in integrated circuit (IC) design. Although analog designers have been aware of the EM problem for some time, digital circuits are also being affected now. This talk addresses basic design issues and their effects on electromigr... | Electromigration and its impact on physical design in future technologies | null | null | null | null | null |
24ff5027e7042aeead47ef3071f1a023243078bb | It is widely acknowledged that the development of traditional terrestrial communication technologies cannot provide all users with fair and high quality services due to the scarce network resource and limited coverage areas. To complement the terrestrial connection, especially for users in rural, disasterstricken, or o... | Optimizing Space-Air-Ground Integrated Networks by Artificial Intelligence | null | null | null | null | null |
2c6835e8bdb8c70a9c3aa9bd2578b01dd1b93114 | We propose a virtual try-on method based on generative adversarial networks (GANs). By considering clothing regions, this method enables us to reflect the pattern of clothes better than Conditional Analogy GAN (CAGAN), an existing virtual try-on method based on GANs. Our method first obtains the clothing region on a pe... | RY-ON WITH CLOTHING REGION | null | null | null | null | null |
38a70884a93dd6912404519a779cc497965feff1 | To explore possible reasons for low self-identification rates among undergraduates with learning disabilities (LD), we asked students (38 with LD, 100 without LD) attending two large, public, research-intensive universities to respond to a questionnaire designed to assess stereotypes about individuals with LD and conce... | Stereotypes of individuals with learning disabilities: views of college students with and without learning disabilities. | null | null | null | null | null |
cc6dc5a3e8a18a0aaab7cbe8cee22bf3ac92f0bf | In the last years, remarkable improvements have been made in the ability of distributed database systems performance. A distributed database is composed of some sites which are connected to each other through network connections. In this system, if good harmonization isn't made between different transactions, it may re... | Concurrency control methods in distributed database: A review and comparison | null | null | null | null | null |
45e2e2a327ea696411b212492b053fd328963cc3 | BACKGROUND
Mobile apps hold promise for serving as a lifestyle intervention in public health to promote wellness and attenuate chronic conditions, yet little is known about how individuals with chronic illness use or perceive mobile apps.
OBJECTIVE
The objective of this study was to explore behaviors and perceptions ... | Health App Use Among US Mobile Phone Users: Analysis of Trends by Chronic Disease Status | null | null | null | null | null |
71795f9f511f6948dd67aff7e9725c08ff1a4c94 | Lately, programmers have started to take advantage of GPU capabilities of cloud-based machines. Using the GPUs can decrease the number of nodes required to perform the computation by increasing the productivity per node. We combine Hadoop, a widely-used MapReduce framework, with Aparapi, a new Java-to-OpenCL conversion... | Hadoop+Aparapi: Making heterogenous MapReduce programming easier | null | null | null | null | null |
8cfb12304856268ee438ccb16e4b87960c7349e0 | Internet, a revolutionary invention, is always transforming into some new kind of hardware and software making it unavoidable for anyone. The form of communication that we see now is either human-human or human-device, but the Internet of Things (IoT) promises a great future for the internet where the type of communica... | A Review on Internet of Things (IoT) | null | null | null | null | null |
a39faa00248abb3984317f2d6830f485cb5e1a0d | Mobile health technologies offer great promise for reducing healthcare costs and improving patient care. Wearable and implantable technologies are contributing to a transformation in the mobile health era in terms of improving healthcare and health outcomes and providing real-time guidance on improved health management... | of Analytical Chemistry Wearable and Implantable Sensors for Biomedical Applications Hatice | null | null | null | null | null |
e749e6311e25eb8081672742e78c427ce5979552 | Improving the operational effectiveness and efficiency of processes is a fundamental task of business process management (BPM). There exist many proposals of process improvement patterns (PIPs) as practices that aim at supporting this goal. Selecting and implementing relevant PIPs are therefore an important prerequisit... | Effective application of process improvement patterns to business processes | null | null | null | null | null |
d5ecb372f6cbdfb52588fbb4a54be21d510009d0 | This study aimed to investigate birth order effect on personality and academic performance amongst 120 Malaysians. Besides, it also aimed to examine the relationship between personality and academic achievement. Thirty firstborns, 30 middle children, 30 lastborns, and 30 only children, who shared the mean age of 20.0 y... | A Study of Birth Order , Academic Performance , and Personality | null | null | null | null | null |
6193ece762c15b7d8a958dc64c37e858cd873b8a | A compact printed log-periodic dipole antenna (LPDA) with distributed inductive load has been presented in this paper. By adding a stub on the top of each element, the dimension of the LPAD can be reduced by 60%. The antenna has obtained an impedance bandwidth of 10GHz (8GHz-18GHz). According to the simulation results,... | A compact printed log-periodic antenna with loaded stub | null | null | null | null | null |
2d9416485091e6af3619c4bc9323a0887d450c8a | A major challenge in scaling object detection is the difficulty of obtaining labeled images for large numbers of categories. Recently, deep convolutional neural networks (CNNs) have emerged as clear winners on object classification benchmarks, in part due to training with 1.2M+ labeled classification images. Unfortunat... | LSDA: Large Scale Detection Through Adaptation | null | null | null | null | null |
0f28cbfe0674e0af4899d21dd90f6f5d0d5c3f1b | In February 2013, Google Flu Trends (GFT) made headlines but not for a reason that Google executives or the creators of the flu tracking system would have hoped. Nature reported that GFT was predicting more than double the proportion of doctor visits for influenza-like illness (ILI) than the Centers for Disease Control... | The Parable of Google Flu: Traps in Big Data Analysis | null | null | null | null | null |
cc43c080340817029fd497536cc9bd39b0a76dd2 | Human mobility is investigated using a continuum approach that allows to calculate the probability to observe a trip to any arbitrary region, and the fluxes between any two regions. The considered description offers a general and unified framework, in which previously proposed mobility models like the gravity model, th... | Human Mobility in a Continuum Approach | null | null | null | null | null |
15e8961e8f9d1fb5060c3284a5bdcc09f2fc1ba6 | Glaucoma is a disease of the optic nerve caused by the increase in the intraocular pressure of the eye. Glaucoma mainly affects the optic disc by increasing the cup size. It can lead to the blindness if it is not detected and treated in proper time. The detection of glaucoma through Optical Coherence Tomography (OCT) a... | Automated Diagnosis of Glaucoma Using Digital Fundus Images | null | null | null | null | null |
36b3865f944c74c6d782c26dfe7be04ef9664a67 | Improving speech system performance in noisy environments remains a challenging task, and speech enhancement (SE) is one of the effective techniques to solve the problem. Motivated by the promising results of generative adversarial networks (GANs) in a variety of image processing tasks, we explore the potential of cond... | Conditional Generative Adversarial Networks for Speech Enhancement and Noise-Robust Speaker Verification | null | null | null | null | null |
bb192e0208548831de1475b11859f2114121c662 | Along with privacy, discrimination is a very import ant issue when considering the legal and ethical aspects of data mini ng. It is more than obvious that most people do not want to be discriminated because of their gender, religion, nationality, age and so on, especially when those att ribu es are used for making deci... | Direct and Indirect Discrimination Prevention Methods | null | null | null | null | null |
1935e0986939ea6ef2afa01eeef94dbfea6fb6da | Mean-variance portfolio analysis provided the first quantitative treatment of the tradeoff between profit and risk. We describe in detail the interplay between objective and constraints in a number of single-period variants, including semivariance models. Particular emphasis is laid on avoiding the penalization of over... | Markowitz Revisited: Mean-Variance Models in Financial Portfolio Analysis | null | null | null | null | null |
1ea03bc28a14ade633d5a7fe9af71328834d45ab | We propose a practical approach based on federated learning to solve out-of-domain issues with continuously running embedded speech-based models such as wake word detectors. We conduct an extensive empirical study of the federated averaging algorithm for the “Hey Snips” wake word based on a crowdsourced dataset that mi... | Federated Learning for Keyword Spotting | null | null | null | null | null |
55ca165fa6091973674b12ea8fa3f1a3a1e50a6d | Sample-based tree search (SBTS) is an approach to solving Markov decision problems based on constructing a lookahead search tree using random samples from a generative model of the MDP. It encompasses Monte Carlo tree search (MCTS) algorithms like UCT as well as algorithms such as sparse sampling. SBTS is well-suited t... | Sample-Based Tree Search with Fixed and Adaptive State Abstractions | null | null | null | null | null |
2ae40898406df0a3732acc54f147c1d377f54e2a | We propose an algorithm called query by commitee, in which a committee of students is trained on the same data set. The next query is chosen according to the principle of maximal disagreement. The algorithm is studied for two toy models: the high-low game and perceptron learning of another perceptron. As the number of ... | Query by Committee | null | null | null | null | null |
49e85869fa2cbb31e2fd761951d0cdfa741d95f3 | Manifold learning algorithms seek to find a low-dimensional parameterization of high-dimensional data. They heavily rely on the notion of what can be considered as local, how accurately the manifold can be approximated locally, and, last but not least, how the local structures can be patched together to produce the glo... | Adaptive Manifold Learning | null | null | null | null | null |
bf07d60ba6d6c6b8cabab72dfce06f203782df8f | Advances in hyperspectral sensing provide new capability for characterizing spectral signatures in a wide range of physical and biological systems, while inspiring new methods for extracting information from these data. HSI data often lie on sparse, nonlinear manifolds whose geometric and topological structures can be ... | Manifold-Learning-Based Feature Extraction for Classification of Hyperspectral Data: A Review of Advances in Manifold Learning | null | null | null | null | null |
01996726f44253807537cec68393f1fce6a9cafa | We describe a probabilistic approach to the task of placing objects, described by high-dimensional vectors or by pairwise dissimilarities, in a low-dimensional space in a way that preserves neighbor identities. A Gaussian is centered on each object in the high-dimensional space and the densities under this Gaussian (or... | Stochastic Neighbor Embedding | null | null | null | null | null |
0e1431fa42d76c44911b07078610d4b9254bd4ce | A new method for performing a nonlinear form of principal component analysis is proposed. By the use of integral operator kernel functions, one can efficiently compute principal components in high-dimensional feature spaces, related to input space by some nonlinear mapfor instance, the space of all possible five-pixel ... | Nonlinear Component Analysis as a Kernel Eigenvalue Problem | null | null | null | null | null |
40cfac582cafeadb0e09e5f020e2febf5cbd4986 | Adverse drug events (ADEs) constitute one of the leading causes of post-therapeutic death and their identification constitutes an important challenge of modern precision medicine. Unfortunately, the onset and effects of ADEs are often underreported complicating timely intervention. At over 500 million posts per day, Tw... | Leveraging graph topology and semantic context for pharmacovigilance through twitter-streams | null | null | null | null | null |
292eee24017356768f1f50b72701ea636dba7982 | We present a method for automatic object localization and recognition in 3D point clouds representing outdoor urban scenes. The method is based on the implicit shape models (ISM) framework, which recognizes objects by voting for their center locations. It requires only few training examples per class, which is an impor... | IMPLICIT SHAPE MODELS FOR OBJECT DETECTION IN 3D POINT CLOUDS | null | null | null | null | null |
ffd7ac9b4fff641d461091d5237321f83bae5216 | In a world of global trading, maritime safety, security and efficiency are crucial issues. We propose a multi-task deep learning framework for vessel monitoring using Automatic Identification System (AIS) data streams. We combine recurrent neural networks with latent variable modeling and an embedding of AIS messages t... | Multi-task Learning for Maritime Traffic Surveillance from AIS Data Streams | null | null | null | null | null |
6385cd92746386c82a69ffdc3bc0a9da9f64f721 | The Dysphagia Outcome and Severity Scale (DOSS) is a simple, easy-to-use, 7-point scale developed to systematically rate the functional severity of dysphagia based on objective assessment and make recommendations for diet level, independence level, and type of nutrition. Intra- and interjudge reliabilities of the DOSS ... | The Dysphagia Outcome and Severity Scale | null | null | null | null | null |
1d18fba47004a4cf2643c41ca82f6b04904bb134 | Accurate and high-quality depth maps are required in lots of 3D applications, such as multi-view rendering, 3D reconstruction and 3DTV. However, the resolution of captured depth image is much lower than that of its corresponding color image, which affects its application performance. In this paper, we propose a novel d... | Depth Map Super-Resolution Considering View Synthesis Quality | null | null | null | null | null |
922b5eaa5ca03b12d9842b7b84e0e420ccd2feee | AN IMPORTANT class of theoretical and practical problems in communication and control is of a statistical nature. Such problems are: (i) Prediction of random signals; (ii) separation of random signals from random noise; (iii) detection of signals of known form (pulses, sinusoids) in the presence of random noise. In his... | A New Approach to Linear Filtering and Prediction Problems | null | null | null | null | null |
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