varunr14/newsummary huggingface dataset:
We introduce a region template abstraction and framework for the efficient storage management and processing of common data types in analysis of large datasets of high resolution images on clusters of hybrid computing nodes . The region template abstraction provides a generic container template for common data structures such as points arrays regions and object sets within a spatial and temporal bounding box . It allows for different data management strategies and I O implementations while providing a homogeneous unified interface to applications for data storage and retrieval . A region template application is represented as a hierarchical dataflow in which each computing stage may be represented as another dataflow of finer grain tasks . The execution of the application is coordinated by a runtime system that implements optimizations for hybrid machines including performance aware scheduling for maximizing the utilization of computing devices and techniques to reduce the impact of data transfers between CPUs and GPUs . An experimental evaluation on a state of the art hybrid cluster using a microscopy imaging application shows that the abstraction adds negligible overhead and achieves good scalability and high data transfer rates . Optimizations in a high speed disk based storage implementation of the abstraction to support asynchronous data transfers and computation result in an application performance gain of about 1.13 . Finally a processing rate of 11 730 4K 4K tiles per minute was achieved for the microscopy imaging application on a cluster with 100 nodes . This computation rate enables studies with very large datasets . 


Summary: Region templates RT data management abstraction and runtime system is introduced. It provides a container for data structures used by spatiotemporal applications. RT supports execution on machines with CPU GPU and unified data access interface. Different data I O implementations targeting multiple memory levels are provided. Example application attains high processing rates and good scalability with RT.
A new method is developed for the preparation of a transparent electrically conductive hybrid polymer films which maintain their electrical conductivity when subjected to deformation in two and three dimensions including bending stretching and twisting . These films are made by a hybrid roll to roll process where electrically conductive nanofibers are partially embedded in solution cast dielectric polymer films such as poly polyimide or polyurethanes . Nanofibers partially embedded in films can be laser ablated to obtain in plane anisotropic electrical conductivity created in the form of parallel conductive lines separated by non conductive spaces on the film surface . The patterned films can be used for high resolution pixel addressable liquid crystal displays . There are several situations such as wearable sensors curved displays and advanced flexible OLED lightings where elastic extensibility and or permanent deformability are desired without significant loss of electrical conductivity . To satisfy this demand the multifunctional films can be made elastic thermally deformable with the judicious choice of materials comprising the nanofibers and the matrix they are embedded in . The multifunctional transparent conductive films are easily manufactured through a low cost continuous hybrid roll to roll process . Furthermore they can be used in future displays solar cells wearable electronics and skin attached sensors requiring flexibility as well as stretchability and more desirably subsequent recovery after cessation of stress and strains without any loss of electrical conductivity . 


Summary: Roll to roll line to produce transparent flexible stretchable electrodes is developed. Nanofibers are embedded in the dielectric and conductive phases as embedded structure suppress delamination under flexing and stretching. Any soluble substrate can be made conductive while maintaining its transparency. With elastomeric substrates stretchable electrode are produced. The thermoplastic electrodes can be thermoformable into parts with complex curvatures.
Background The use of colors in visual displays can facilitate visual search and perception but their use may not be effective without consideration of differences in the interpretation of their connoted meanings between individuals of different occupational backgrounds . Objective This study examined color concept associations for Hong Kong Chinese students and white collar workers and then compared their associations with those of two other occupational groups to assess whether occupational background is related to color concept associations . Method A questionnaire survey was used to examine color concept associations among 100 university students and 100 white collar workers in Hong Kong . The participants were presented with 16 safety related concepts and were asked to choose one of 10 colors that best represented each concept . The associations reported by four groups with different occupations were compared . A chi square test was applied to determine whether significant color association existed for each concept . Results Our results revealed that each concept was significantly associated with at least one color . The Hong Kong white collar workers and managerial staff in mainland China both expressed the same color associations for 14 of the tested concepts and differed only over which colors were associated with strong and radiation hazard . These findings generally suggest that populations with similar occupations can have similar color perceptions . However the students and the other three employee groups reported different color associations with the concepts normal off and potential hazard . Conclusions Occupational background is associated with how color is interpreted for its connoted meaning . One should consider occupational background carefully when choosing colors in product designs especially for safety . 


Summary: The associations between ten colors and sixteen concepts were tested for four groups of Chinese with different occupations. Nine out of sixteen most frequent color associations are the same for these groups. People with similar occupations yield similar color concept associations.
Structured sparsity approaches have recently received much attention in the statistics machine learning and signal processing communities . A common strategy is to exploit or assume prior information about structural dependencies inherent in the data the solution is encouraged to behave as such by the inclusion of an appropriate regularisation term which enforces structured sparsity constraints over sub groups of data . An important variant of this idea considers the tree like dependency structures often apparent in wavelet decompositions . However both the constituent groups and their associated weights in the regularisation term are typically defined a priori . We here introduce an adaptive wavelet denoising framework whereby a sparsity inducing regulariser is modified based on information extracted from the signal itself . In particular we use the same wavelet decomposition to detect the location of salient features in the signal such as jumps or sharp bumps . Given these locations the weights in the regulariser associated to the groups of coefficients that cover these time locations are modified in order to favour retention of those coefficients . Denoising experiments show that not only does the adaptive method preserve the salient features better than the non adaptive constraints but it also delivers significantly better shrinkage over the signal as a whole . 


Summary: A wavelet shrinkage method is introduced that exploits structured sparsity from the DTCWT. Structured sparsity is enforced by using a hierarchical regulariser. The regulariser is adapted according to the analysed signal to promote preservation of salient features. Results in denoising experiments show improved performance with respect to non adaptive approaches.
The Google Maps Earth GIS has been integrated with a microscale meteorological model to improve the system s functionality and ease of use . Almost all the components of the model system including the terrain data processing morphological data generation meteorological data gathering and initialization and displaying visualizing the model results have been improved by using this approach . Different from the traditional stand along model system this novel system takes advantages of enormous resources in map and image data retrieving handling four dimensional data visualization overlaying and many other advanced GIS features that the Google Maps Earth platform has to offer . We have developed modular components for all of the model system controls and data processing programs which are glued together with the JavaScript language and KML XML data . We have also developed small modular software using the Google application program interface to convert the model results and intermediate data for visualizations and animations . Capabilities such as high resolution image street view and 3D buildings in the Google Earth Map are also used to quickly generate small scale vegetation and building morphology data that are required for the microscale meteorological models . This system has also been applied to visualize the data from other instruments such as Doppler wind lidars . Because of the tight integration of the internet based GIS and a microscale meteorology model the model system is more versatile intuitive and user friendly than a stand along system we had developed before . This kind of system will enhance the user experience and also help researchers to explore new phenomena in fine scale meteorology . 


Summary: Meteorological model and Google GIS integration. Meteorological model data preprocessing. Meteorological model results and lidar data visualization. Microscale Meteorological model input data generation and gathering. Novel graphical user interface using GIS via internet.
In this work an extension has been performed on the analysis basis of spline based meshfree method to stabilize its solution . The potential weakness of the SBMFM is its numerical instability from using regular grid background mesh . That is if an extremely small trimmed element is produced by the trimming curves that represent boundaries of the analysis domain it can induce an excessively large condition number in global system matrix . To resolve the instability problem the extension technique of the weighted extended B spline is implemented in the SBMFM . The basis functions with very small trimmed supports are extrapolated by neighboring basis functions with some special scheme so that those basis functions can be condensed in the solution process . In order to impose essential boundary conditions in the SBMFM with extended basis Nitsche s method is implemented . Using numerical examples the presented SBMFM with extended basis is shown to be valid and effective . Moreover the condition number of the system is well managed guaranteeing the stability of the numerical analysis . 


Summary: Extension is performed to stabilize the basis of spline based meshfree method. Nitsche s method was employed to impose essential boundary conditions. The validity of the proposed method was proved by error analysis.
Conventionally monitoring operating conditions of a power transmission line is accomplished by periodic inspections along this line . This monitoring allows corrective maintenance by finding faults during the inspection . But in more efficient maintenance predictive techniques that are characterized by real time monitoring should be employed . Such predictive techniques allow for verifying the working status of the line by using normal working models to detect faults and fault models for diagnosis . This paper presents a study that used a mathematical model appropriate for application to predictive maintenance of transmission line segments at low cost without the need for sensors distributed along the line and presenting a new indicator of transmission line operation conditions . By tracking the leakage current of transmission lines this model allows for estimating the current line insulation status . Once the current line insulation status is known it is possible to compare it against other future status and verify the progress of the insulation conditions of that line . The model uses a new indicator called MCHO which can detect and diagnose both normal and abnormal operating conditions of a power transmission line . This new indicator is the capacitance of the harmonic frequencies of the transmission line leakage current . The model was validated through measurements obtained on a stretch of transmission line . 


Summary: Mathematical model appropriate for predictive maintenance of transmission line. Based on leakage current the model allows estimating the line insulation status. It is not needed sensors distributed along the line. New indicator of transmission line operation conditions.
In this paper we design and analyze a Newton like blind equalization algorithm for the APSK system . Specifically we exploit the principle of minimum entropy deconvolution and derive a blind equalization cost function for APSK signals and optimize it using Newton s method . We study and evaluate the steady state excess mean square error performance of the proposed algorithm using the concept of energy conservation . Numerical results depict a significant performance enhancement for the proposed scheme over well established blind equalization algorithms . Further the analytical excess mean square error of the proposed algorithm is verified with computer simulations and is found to be in good conformation . 


Summary: Formulation of a Newton like blind equalization algorithm for APSK system. Discussion on stationary points of the cost in joint impulse response domain. Discussion on equalizer s tracking performance in non stationary environment. Evaluation of moments in closed form using Nuttal Q function.
The Smart Grid is expected to utilize a wireless infrastructure for power data collection in its Advanced Metering Infrastructure applications . One of the options to implement such a network infrastructure is to use a wireless mesh network based on IEEE 802.11s mesh standard . However IEEE 802.11s standard relies on MAC based routing and thus requires the availability of MAC addresses of destinations . Due to large size of AMI networks this creates a broadcast storm problem when such information is to be obtained via Address Resolution Protocol broadcast packets . In this paper we propose a mechanism to significantly alleviate such broadcast storm problem in order to improve the scalability of 802.11s and thus make it better suited for Smart Grid AMI applications . Our contribution is adapting 802.11s standard for addressing ARP broadcast storm problem in a secure and efficient manner . Specifically we utilize the proactive Path Request packet and Path Reply of layer 2 path discovery protocol of 802.11s namely HWMP for piggybacking ARP information . In this way the MAC address resolution is handled during routing tree creation maintenance and hence the broadcasting of ARP requests by the smart meters to learn the MAC address of the data collector is completely eliminated . Furthermore since piggybacking the ARP via PREQ may pose vulnerabilities for possible ARP cache poisoning attacks the data collector also authenticates the messages it sends to SMs by using Elliptic Curve Digital Signature Algorithm . We have extensively analyzed the behavior and overhead of the proposed mechanism using implementation of IEEE 802.11s in ns 3 simulator . The evaluations for both UDP and TCP show that compared to the original ARP broadcast operations our approach reduces the end to end delay significantly without negatively impacting the packet delivery ratio and throughput . 


Summary: We identify ARP broadcast problem in 802.11s. We propose a secure piggybacking based ARP for 802.11s based Smart Grid networks. We propose several modifications to Hybrid Wireless Mesh Protocol HWMP . Piggybacking based ARP reduces the end to end delay significantly.
We present a fast algorithm for finding a basis for any rational planar curve that has a complex rational parametrization . We begin by identifying two canonical syzygies that can be extracted directly from any complex rational parametrization without performing any additional calculations . For generic complex rational parametrizations these two special syzygies form a basis for the corresponding real rational curve . In those anomalous cases where these two canonical syzygies do not form a basis we show how to quickly calculate a basis by performing Gaussian elimination on these two special syzygies . We also present an algorithm to determine if a real rational planar curve has a complex rational parametrization . Examples are provided to illustrate our methods . 


Summary: Two special syzygies for complex rational curves. A fast algorithm to compute a basis for complex rational curves. An algorithm to determine if a real rational curve has a complex rational parametrization.
Graphical abstract Image graphical abstract Blind Source Separation Forward Blind Source Separation Short Fourier Transform Impulse response Symmetric Adaptive Decorrelation Forward Symmetric Adaptive Decorrelation Adaptive Noise Cancellation Least Mean Square Normalized LMS Frequency Least Mean Square Transform Domain LMS Two channel variable step size forward Two sensor Gauss seidel fast affine projection Time Domain Symmetric Adaptive Decorrelation Mean Square Error Signal to Noise Ratio Segmental signal to noise ratio Mean square error Segmental mean square error Cepstral Distance Mean Opinion Score Decibel Voice activity detector Expectation operator Discrete Time index Mean averaging value of the SegSNR Mean averaging value of the SegMSE Mean averaging value of the CD Real and adaptive impulse responses length Mean averaging value of the CD Sampling frequency . source number 1 source number 2 output number 1 output number 2 post filter number 1 post filter number 2 Direct IR path for speech Direct IR path for noise Speech signal Noise real filter vectors Adaptive filter vectors length of the real impulse responses . channel observation number . d 1 2 . number of IR of each paths . i d 1 2 coefficient index cross IR between each channel with i d 1 2 . noisy observations with d 1 2 . diffuse noise components present with d 1 2 . Fixed step sizes Small positive constant Variances STFT of s1 STFT of s2 STFT of s STFT of b STFT of m1 STFT of m2 STFT of w12 STFT of w21 STFT of f12 STFT of f21 STFT of u1 STFT of u2 STFT of p1 STFT of p2 DSP of m1 DSP of m2 Speech detector Silence detector 


Summary: We propose a new Frequency domain adaptive decorrelating algorithm. The proposed algorithm improves convergence speed even with long adaptive filters. The new algorithm is efficient in Speech quality Enhancement and Acoustic Noise Reduction applications. The proposed algorithm distorts less the speech signal at the output.
This paper proposes a power efficient drive circuit for plasma display panels . The proposed circuit reduces reactive power consumption by varying the inductance for energy recovery and by separating the grounds of the sustain and data drivers . Power consumption due to discharge current is reduced by using two soft switching inductors for the pull up switches in the bridge circuit . Power consumption for data addressing is reduced by using a dc voltage source to bias the ground for the sustain driver . The proposed circuit was tested on a 50 full HD single scan PDP which had a sustain discharge gap of 80 m total power consumption to display the dynamic broadcasting content of IEC 62087 was 40W less than that required by the conventional drive circuit and the EMI level for 2 9MHz was reduced significantly . The experimental results demonstrate that a high performance power efficient PDP drive circuit can be built using the proposed method . 


Summary: Proposed circuit reduces reactive and discharge power consumption. Reactive power is reduced by decreasing the energy recovery current. Discharge power is reduced by achieving soft switching of the bridge circuit. Biased scan method was used for reducing power consumption for data address. Total power consumption was decreased by 40W 14.5 .
We provide explicit representations of three moving planes that form a basis for a standard Dupin cyclide . We also show how to compute bases for Dupin cyclides in general position and orientation from their implicit equations . In addition we describe the role of moving planes and moving spheres in bridging between the implicit and rational parametric representations of these cyclides . 


Summary: Explicit Representations of three basis elements for a standard cyclide. An algorithm of determining the key information of a cyclide from its implicit equation. An algorithm of computing a basis for a cyclide. The role of moving planes and moving spheres played in cyclide.
Data semantics play an extremely significant role in spatial data infrastructures by providing semantic specifications to geospatial data and enabling in this way data sharing and interoperability . By applying on the fly composite geospatial processes on the above data it is possible to produce valuable geoinformation over the web directly available and applicable to a wide range of geo activities of significant importance for the research and industry community . Cloud computing may enable geospatial processing since it refers to among other things efficient computing resources providing on demand processing services . In this context we attempt to provide a design and architectural framework for web applications based on open geospatial standards . Our approach includes in addition to geospatial processing data acquisition services that are essential especially when dealing with satellite images and applications in the area of remote sensing and similar fields . As a result by putting in a common framework all data and geoprocesses available in the Cloud it is possible to combine the appropriate services in order to produce a solution for a specific need . 


Summary: Geospatial services in the Cloud for both spatial data acquisition and processing. Interaction UML diagram representing requests for and responses from OGC services. Multi tier architecture with open source software and OGC standards implementations. Challenge to specify potential geospatial processes for future WPS implementations. From desktop and proprietary web applications to open GIS systems in the Cloud.