Reviewerly/exHarmony huggingface dataset:
Using Low-Cost “Garage Band” Recording Technology for Acquiring High Resolution High-Speed Data

The Oak Ridge National Laboratory (ORNL) has developed and tested a novel system architecture for acquiring high fidelity high-speed data. The approach uses a consumer grade audio recording device that is normally associated with “garage band” recording of music. ORNL has coupled this low-cost data acquisition hardware with computing technology running open-source software. The main advantage of this approach is per-channel cost; an instrument grade data acquisition system typically costs between $800 to $2000 per channel compared to less than $50 per channel for these consumer grade components. Three systems, each featuring four channels, have been deployed for acquiring data from geophones and the electrical supply system that supports the High Flux Isotope Reactor (HFIR) and the Radiochemical Engineering Development Center (REDC) at ORNL. Each channel samples at 96 kHz at 24-bit resolution. The deployed systems operate continuously 24/7 and produce about 4 terabytes of data per month per system. This paper provides a technical overview of this approach, its implementation, and some preliminary results from qualification testing. This work was conducted in support of the Multi-Informatics for Nuclear Operations Scenarios (MINOS).
Assessment on the Availability of Domestic MMORPG Games Official Web Site Based on Eye Movement

The main function of MMORPG Web site is to introduce game information, provide download channels and serve players. For the study of the current domestic MMORPG game official Web site usability and improve Web site appeal to players, this article selects three more representative domestic MMORPG game’s official Web site, using the eye movement experiment, research subjects in the game’s official Web site “announcement,” “download game,” “get the gift bag” section for the first time into the AOI interest zone time, the number of fixation and total fixation time, combined with hot figure the comprehensive analysis of the game’s official Web site usability. Results show that the page layout differences on subjects of interest area have significant effect, part of the division with different colors was more likely to lead to subjects of interest, compared with text, pictures has more attractive to the user, so simplifying Web design, use color piece partitioning key, the amount of text information and nice pictures to attract users, improve domestic MMORPG game Web site usability.
A Secured Cloud-Based Framework for Image Processing Using Ant Colony Optimization

Indisputably, digital imaging remains to play a vital role in various domains, like healthcare, biomedical research, remote sensing and many more. The arduous tasks in image analysis and restoration demand interfaces which are user-friendly, resilient, as well as secured and scalable. Though cloud paradigm proposals show numerous benefits, many challenges with regard to privacy and confidentiality are still prevalent. Hence, it is considerably significant to re-examine the issues of image processing and analysis and adopt a novel approach to resolve the identified glitches. This paper heavily emphasizes the design of a cloud container-based framework to enable the execution of image analysis applications and tools on sensitive images anywhere any time. The uniqueness of the proposed approach is that it employs lightweight, secured cloud containers to facilitate image processing and analysis and put forward algorithms based on ant colony optimization to render better resource utilization while running compute- and resource-intensive image analysis tools. The proposed solution uses an improved ant colony optimization (ACO) for resource utilization and image segmentation.
Identification of Client Profile Using Convolutional Neural Networks

In this work, a convolutional neural network is used to predict the interest of social networks users in certain product categories. The goal is to make a multi-class image classification to target social networks users as potential products consumers. In this paper, we compare the performance of several artificial neural network training algorithms using adaptive learning: stochastic gradient descent, adaptive gradient descent, adaptive moment estimation and its version based on infinity norm and root mean square prop. The comparison of the training algorithms shows that the algorithm based on adaptive moment estimation is the most appropriate to predict user’s interest and profile, achieving about 99% classification accuracy .
An equivalence between log-sum-exp approximation and entropy regularization in &lt;i&gt;K&lt;/i&gt;-means clustering

In this paper, we show an equivalence between log-sum-exp approximation and entropy regularization in K-means clustering, which is a well-known algorithm for partitional clustering. We derive an identical equation for updating centroids of clusters from the two formulations. Additionally, we derive an alternative equation suitable for another formulation of entropy regularization, maximum entropy method. We also show experimental results which support the theoretical results.
Arabic-to-Malay Machine Translation Using Transfer Approach

Translation from/to Arabic has been widely studied recently. This study focuses on the translation of Arabic as a source language (SL) to Malay as a target language (TL). The proposed prototype will be conducted to map the SL &amp;rdquo;meaning&amp;rdquo;with the most equivalent translation in the TL. In this paper, we will investigate Arabic-Malay Machine Translation features (i.e., syntactic, semantic, and morphology), our proposed method aims at building a robust lexical Machine Translation prototype namely (AMMT). The paper proposes an ongoing research for building a successful Arabic-Malay MT engine. Human judgment and bleu evaluation have been used for evaluation purposes, The result of the first experiment prove that our system(AMMT) has outperformed several well-regarded MT systems by an average of 98, while the second experiment shows an average score of 1-gram, 2-gram and 3-gram as 0.90, 0.87 and 0.88 respectively. This result could be considered as a contribution to the domain of natural language processing (NLP).
Non-Malleability against Polynomial Tampering.

We present the first explicit construction of a non-malleable code that can handle tampering functions that are bounded-degree polynomials. Prior to our work, this was only known for degree-1 polynomials (affine tampering functions), due to Chattopadhyay and Li (STOC 2017). As a direct corollary, we obtain an explicit non-malleable code that is secure against tampering by bounded-size arithmetic circuits.
Modern high-technological methods of forging overprinting seals and stamps in documents

The article analyzes the features of modern high-tech methods for counterfeiting overprinting of the seals and stamps in documents. All of them reflect the technological features and technical equipment current time in which they were invented and actively used. The authors pay special attention to the physical modeling of printing plates from overprinting of seals, computer modeling of digital images of overprinting took from the sealing, as well as the manufacture of counterfeit printing plates from digital camera-ready copies of the overprinting obtained in the process of computer simulation. The paper considers approximate sets of features characterizing various high-tech methods of counterfeiting overprinting of the seals and stamps in documents. In preparing the article, general-scientific methods of empirical knowledge (comparison, description), general-logical methods of analysis, synthesis, generalization, classification, as well as methods of systemic-structural analysis were used. The purpose of this study is to demonstrate the detected signs that characterize modern methods of counterfeiting overprinting of the seals and stamps in documents. The article’s conclusions are practically oriented and will enhance the detection and investigation of crimes committed using sham papers.
Bridging fault localisation and defect prediction

Identifying the source of a program failure plays an integral role in maintaining software quality. Both fault localisation and defect prediction aim to locate faults: fault localisation aims to locate faults after they are revealed while defect prediction aims to locate yet-to-happen faults. Despite sharing a similar goal, fault localisation and defect prediction have been studied as separate topics, mainly due to the difference in available data to exploit. In our doctoral research, we aim to bridge fault localisation and defect prediction. Our work is divided into three parts: 1) applying defect prediction to fault localisation, i.e., DP2FL, 2) applying fault localisation to defect prediction, i.e., FL2DP, 3) consecutive application of DP2FL and FL2DP in a single framework. We expect the synergy between fault localisation and defect prediction not only to improve the accuracy of each process but to allow us to build a single model that gradually improve the overall software quality throughout the entire software development life-cycle.
Single-shot 3D Measurement with a Hybrid Fringe Projection

We report a single-shot three-dimensional (3D) measurement approach with a speckle embedded fringe projection. Phase and spatial feature descriptor are used simultaneously to achieve global optimal stereo matching and 3D reconstruction.
A new metrological characterization strategy for 3D multi-camera systems

Abstract The objective of this study is to establish a new methodology for the metrological characterization of interactive multi-camera systems. In the case of 3D system highly adapted to specific needs the accuracy evaluation cannot be performed using standard state-of-the-art techniques. To this end, the metrological characterization techniques used in the literature were investigated in order to define a new methodology that can be adjusted to each device by making the appropriate modifications. The proposed strategy is adopted for the metrological characterization of a new interactive multi-camera system for the acquisition of the arm.
Direct temporal mode measurement for the characterization of temporally multiplexed high dimensional entanglement

We report a novel method that measures directly the exact form of temporal modes. We then apply the method to a pulse-pumped parametric amplifier and demonstrate telecom band temporally multiplexed multi-dimensional continuous variables quantum entanglement.
Role of emerging technology on academic achievement of students at the University of Cape Coast

The main aim of this study was to find out how emerging technologies influence academic achievement of students at the University of Cape Coast. The study employed ex post facto research design utilizing quantitative approach for data collection. Findings from the data analyzed showed that emerging technologies are available for use in the various departments of the University. For instance, mobile phones (93.8%), internet (88.8%), laptops/desktops (86.8%), projectors (82.1%), electronic books (68.1%), Tablets (62.2%) and online courses (50.4%) were available and accessible to more than half of the respondents. It was also found that mobile phones, laptops/desktops, PDAs, projectors, e-books, internet, and e-learning lab equipment were evenly distributed across the departments while the rests were not evenly distributed as there were statistically significant differences among their availability across the various departments. In addition, the study found that there is negative relationship on the extent to which respondents use emerging technologies and their academic performance. However, the use of the internet recorded a statistically significant relationship with p-value of 0.040. The study recommends that students must make a conscious effort to use the emerging technologies available in the university in order to be successful in their academic pursuits.
Designing an Analytics Approach for Technical Content

Working on an enterprise cloud product, my documentation team rethought our approach to content analytics. Despite a variety of tools and awareness of industry best practices, my team felt stuck using analytics only in annual or on-demand reports to management, instead of to produce value for our end users. We employed Design Thinking practices to guide a multifaceted user research project that led to changes in the way that we created documentation and automated quality content checks. Key takeaways include to involve the technical documentation team in identifying not only what metrics to collect, but also how to collect, report, and use the metrics in order to increase buy-in and the likelihood that data analytics about content leads to meaningful change within the content itself.
Mammographic Image Conversion Between Source and Target Acquisition Systems Using cGAN

Our work aims at developing a machine learning-based image conversion algorithm to adjust quantum noise, sharpness, scattering, and other characteristics of radiographic images acquired with a given imaging system as if they had been acquired with a different acquisition system. Purely physics-based methods which have previously been developed for image conversion rely on the measurement of the physical properties of the acquisition devices, which limit the range of their applicability. In this study, we focused on the conversion of mammographic images from a source acquisition system into a target system using a conditional Generative Adversarial Network (cGAN). This network penalizes any possible structural differences between network-generated and target images. The optimization process was enhanced by designing new reconstruction loss terms which emphasized the quality of high frequency image contents. We trained our cGAN model on a dataset of paired synthetic mammograms and slanted edge phantom images. We coupled one independent slanted edge phantom image with each anthropomorphic breast image and presented the pair as a combined input into the network. To improve network performance at high frequencies, we incorporated an edge-based loss function into the reconstruction loss. Qualitative results demonstrated the feasibility of our method to adjust the sharpness of mammograms acquired with a source system to appear as if the they were acquired with a different target system. Our method was validated by comparing the presampled modulation transfer function (MTF) of the network-generated edge image and the MTF of the source and target mammography acquisition systems at different spatial frequencies. This image conversion technique may help training of machine learning algorithms so that their applicability generalizes to a larger set of medical image acquisition devices. Our work may also facilitate performance assessment of computer-aided detection systems.
Crosscorrelation time-pick workflow of microseismic data starting from migration-based locations

PreviousNext No AccessSEG Technical Program Expanded Abstracts 2020Crosscorrelation time-pick workflow of microseismic data starting from migration-based locationsAuthors: Yu ChenTakashi MizunoDaniel RaymerSara Hanson-HedgecockJoël Le CalvezYu ChenSchlumbergerSearch for more papers by this author, Takashi MizunoSchlumbergerSearch for more papers by this author, Daniel RaymerSchlumbergerSearch for more papers by this author, Sara Hanson-HedgecockSchlumbergerSearch for more papers by this author, and Joël Le CalvezSchlumbergerSearch for more papers by this authorhttps://doi.org/10.1190/segam2020-3425638.1 SectionsSupplemental MaterialAboutPDF/ePub ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinked InRedditEmail AbstractUsing migration-based methods, we developed a workflow to obtain high-quality time picks for microseismic event data. The workflow crosscorrelates manually picked waveforms of template microseismic events with waveforms from the remaining events to refine the first arrival time picks of P and S phases. We applied our workflow to 50 minutes of microseismic data from a hydraulic fracturing monitoring campaign. The workflow provides high-quality picks for 689 out of a total of 805 detected events by using three representative template events. We validate the time picks by comparing event locations using the crosscorrelation picks with locations from the migration based method. The workflow improves time-pick accuracy, which subsequently may be used to improve associated source parameters and other attributes that require a precise time-pick of the signal onset.Presentation Date: Wednesday, October 14, 2020Session Start Time: 9:20 AMPresentation Time: 9:45 AMLocation: Poster Station 11Presentation Type: PosterKeywords: crosscorrelation, hydraulic fracturing, microseismic, traveltimePermalink: https://doi.org/10.1190/segam2020-3425638.1FiguresReferencesRelatedDetails SEG Technical Program Expanded Abstracts 2020ISSN (print):1052-3812 ISSN (online):1949-4645Copyright: 2020 Pages: 3887 publication data© 2020 Published in electronic format with permission by the Society of Exploration GeophysicistsPublisher:Society of Exploration Geophysicists HistoryPublished Online: 30 Sep 2020 CITATION INFORMATION YuChen, TakashiMizuno, DanielRaymer, SaraHanson-Hedgecock, and JoëlLe Calvez, (2020), "Crosscorrelation time-pick workflow of microseismic data starting from migration-based locations," SEG Technical Program Expanded Abstracts : 2125-2129. https://doi.org/10.1190/segam2020-3425638.1 Plain-Language Summary Keywordscrosscorrelationhydraulic fracturingmicroseismictraveltimePDF DownloadLoading ...
Performance comparison of chosen JSON parsers and a parser that employs a different reading method

JSON parser, that has been developed, is made of two modules, each dedicated to process structure of either an object or an array. In both modules, building step of document model, that represents its structure, is combined with tokenization step. Design and development of algorithm is aimed at improving speed of parsing of documents.
A Security Framework for Electronic Medical Record

Electronic Medical Record (EMR) is basically the digital equivalent of paper records, or charts at a clinician’s office. EMR assist and make easier the services rendered by a wide range of medical practitioners such as physicians, nurses, pharmacists and many others, hence, increasing the safety of patients. It's importance in the health sector cannot be overemphasized. The designed framework aims at identifying security challenges in the use and adoption of EMR, to design and implement a framework that will address issues identified in the use and adoption of EMR. This study presented a security framework to improve the security and privacy issues of EMRs by adopting Role Based Access Control and RSA cryptography. Role Based Access Control (RBAC) model was used because of its flexibility to support minimal functionality and its simplistic mode of assigning roles and permissions to users. In conclusion, this research was able to improve the security of EMRs and hence will increase its acceptance by health institutions which will bring about improved health services, especially in developing countries were manual record system are still prominent.
A ELABORAÇÃO DE MAPAS HIPSOMÉTRICOS NA TOMADA DE DECISÃO EM OBRA, USANDO O SOFTWARE AUTOCAD CIVIL 3D

With the advent of BIM technology (Building Information Modeling), a project modeled on this platform carries with it a set of information that assist in many processes in the work.In infrastructure works, software such as Civil AutoCad 3D is essential for making decision and project design.In earthworks, these software assist in the elaboration of hypsometric maps that through the colors assigned to the cut and fill zones and their respective quantities, it is possible to determine the ideal methodology used and the incisive zones to start the execution.Furthermore, the use of these maps in earthmoving works can generate a better layout of the construction site, which makes the work leaner.The work will aim to explain the importance of preparing these maps in decision-making in infrastructure works.An analysis was carried out in a subdivision in the city of Aquiraz in Ceará to analyze the methodology and determine the quantitative results of the method used.
Analysis on the Application of Computer Aided Instruction in College Physical Education

Computer-aided instruction is an effective new teaching mode and approach, which is widely used in various learning subjects, including physical education. The application of computer-aided instruction in physical education can effectively strengthen students' enthusiasm for subjects and their cognition of training behavior. CAI courseware contains materials in various media formats to provide students with all-round sensory experience, thus increasing students' enthusiasm for the subject and improving their autonomous learning ability. In order to establish educational ideas suitable for students' learning level, it is necessary to use practical methods to improve students' comprehensive training level and self-study ability with individual characteristics. This paper mainly discusses the performance of the practice of computer-aided teaching method in physical education, in order to make clear the direction and performance of its implementation, so as to meet the requirements of physical education stably.
Ragam dan Morfoteknologi Artefak di Situs-Situs Neolitik Sepanjang Ci Langla Bagian Hilir, Kabupaten Tasikmalaya

Neolithic sites in the Karangnunggal Region along Ci Langla, starting from upstream to downstream. This paper will reveal the variety of neolithic artifacts in Ci Langla downstream. Thus it will be known about the activities of human life supporting neolithics in the area. Research on the distribution patterns and influencing factors is expected to be able to provide clues about human behavior patterns in utilizing space. The method used in the cultural approach focuses on archeological material or direct observation of artifacts (artifact oriented analysis). The artifacts analyzed are related to the activities of the adze workshop.
The Effectiveness of Role-Playing in Improving Communicative Competence

The purpose of this study is to examine the effectiveness of role-playing of pcychodrama in improving learners’ communicative competence. In this practice learners were not given a script, but a brief explanation about the situation. Through experiencing improvisational dialogues, learners could have opportunities of self-disclosure, mutual understanding and sharing joy of self-expression. In this paper the value of experiencing role-playing is examined by quoting sentences that learners wrote in their reflection papers. In order to write reflection papers learners were given the whole sheets that they wrote after each role-playing. They could recognize what they thought in the process of learning and how they changed in the end.
Research on Chinese Text Semantic Matching Base on BERT and BiLSTM_Attention

In this paper, to further improve the matching accuracy of text semantic matching, which is based on BERT (Bidirectional Encoder Representations from Transformers) fine-tuning, we propose a novel model, which is combine BERT and Attention-Based Bidirectional Long Short-Term Memory Networks (BERT+BiLSTM_Attention). Indeed, outputs of the BERT are further given as inputs of the Bidirectional Long Short-Term Memory Networks (BiLSTM), after that the attention mechanism is further used to capture the needed interactive information and attend those informative words that have a significant impact on semantics. In order to optimize the model, the piecewise constant decay strategy is adopted to control the learning rate. In addition, the weights of BERT are updated to make our model more suitable to the downstream tasks. Finally, experimental results demonstrate that the accuracy of the proposed model is better than LSTM-DSSM model 7.1% in a large-scale Chinese question matching corpus. And 0.12 points higher than BERT based direct fine-tuning.