Reviewerly/exHarmony huggingface dataset:
Analysis of Compositions by B1 Level (Threshold) Francophone Learners of Catalan: Typology of Errors and Correspondences

The focus of this research is to study the different types of errors made by intermediate level learners of Catalan (Threshold, B1) in written productions. The corpus is made up of compositions written by learners with French as a first language (L1) that were part of the official Catalan language examinations of the Ramon Llull Institute, conducted in Montreal between 2009 and 2016. We systematically identified and analyzed errors in each written text using an ad hoc constructed classification system presented here. Errors were categorized in terms of linguistic description criteria (linguistic aspect and modification type) and etiological criteria (interlinguistic influences and intralinguistic causes). With a Multiple Correspondence Analysis (MCA), it was possible to identify associations and association patterns between the characteristics of different variables. For example, we were able to observe the more or less significant impact of certain variables on the occurrence of an error, the most frequent characteristics of certain types of errors, etc. The analysis is supplemented with real examples from our corpus. The results we obtained allowed us not only to observe certain types of general phenomena, but also to detect specific recurrent errors from our corpus. This information would be useful to teachers when creating pedagogical activities in their quest to seek more effective ways to support their learners in writing (Arntzen, Hakansson, Hjedle & Kesler, 2019).
KEBIJAKAN KETAHANAN ENERGI BERBASIS ENERGI LISTRIK PADA BIDANG TRANSPORTASI GUNA MENDUKUNG PERTAHANAN NEGARA DI INDONESIA: SEBUAH KERANGKA KONSEPTUAL

Indonesia is still very dependent on the use of fossil energy. The use of fossil energy in Indonesia reaches 95% of Indonesia's energy needs. As much as 50% of fossil energy used in Indonesia comes from oil. The low increase in fossil energy, sustainable energy use, and the use of new and renewable energy are the main concerns of the Indonesian government. This shows the importance of energy security. As a form of energy security, the government has made a policy to use alternatives in the transportation sector that uses electric energy. Therefore, it aims to describe the conceptual framework framework of the electricity-based energy security policy in the transportation sector in Indonesia to support national defense. This writing uses a literature study approach. The findings from this are three concepts in energy security, namely: (1) the existence of a population of energy resources that is sufficient for energy demand, (2) the fulfillment of energy needs with the support of various facilities and other supporting parties such as distribution, transportation, production division and others. other, and (3) relating to the minimal negative impact of energy production and consumption on the surrounding environment as well as the health of humans and other creatures. Therefore, policies related to energy security, particularly in the transportation sector, are manifested in a statement of energy security. This form of energy security will have a positive impact on national resilience and of course can support national defense.
Automatic horizon picking by using the strategy of jigsaw puzzle

PreviousNext No AccessSEG Technical Program Expanded Abstracts 2020Automatic horizon picking by using the strategy of jigsaw puzzleAuthors: Bo ZhangYihuai LouXiwu LiuBo ZhangThe University of AlabamaSearch for more papers by this author, Yihuai LouThe University of AlabamaSearch for more papers by this author, and Xiwu LiuSINOPECSearch for more papers by this authorhttps://doi.org/10.1190/segam2020-3427000.1 SectionsAboutPDF/ePub ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinked InRedditEmail AbstractManual seismic horizon interpretation is the least efficient interpretation technique in terms of time and effort. Auto-picking techniques have been around since the early 1980s. However, there are few studies regarding simulating the procedure of manual seismic horizon picking. In this paper, we develop an automatic horizon tracking method by simulating manual horizon picking. We first track horizon patches on seismic vertical slices independently. We then evaluate the picked horizons using the defined loop-tie criteria. We finally merge the tracked horizons and use seismic dip attribute to generate horizon surfaces over the seismic survey. We apply our proposed method to the poststack seismic survey F3 acquired from offshore Netherland. The tracked horizons strictly follow the local seismic reflection events.Presentation Date: Tuesday, October 13, 2020Session Start Time: 8:30 AMPresentation Time: 11:25 AMLocation: 362DPresentation Type: OralKeywords: seismic attributes, seismic stratigraphy, interpretationPermalink: https://doi.org/10.1190/segam2020-3427000.1FiguresReferencesRelatedDetails 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 Bo Zhang, Yihuai Lou, and Xiwu Liu, (2020), "Automatic horizon picking by using the strategy of jigsaw puzzle," SEG Technical Program Expanded Abstracts : 1044-1048. https://doi.org/10.1190/segam2020-3427000.1 Plain-Language Summary Keywordsseismic attributesseismic stratigraphyinterpretationPDF DownloadLoading ...
PENGARUH STUDY FROM HOME (SFH) DALAM PEMBELAJARAN ONLINE BAGI PESERTA DIDIK KELAS 12 IPS III SMA N 2 KOTA SEMARANG DALAM MENGHADAPI PANDEMIK COVID-19 DI KOTA SEMARANG

Health is very important for every human being in the world, especially in the face of the co-19 pandemic period especially in Indonesia. and therefore the Indonesian government imposed a number of policies including the School From Home (SFH policy on the implementation of the Work system. The purpose of this discussion is to measure how much effect the SFH policy has on reducing the spread of Covid-19.This research is a quantitative research survey with this discussion expected to be able to explain how much the influence of SFH in online learning As a conclusion is the effect of SFH for IPS III students of SMA N 2 Semarang City does not provide great influence in the learning system. Further research in this issue is needed to be an appropriate suggestion for the next step.
Applications of an UAV aerogeophysical integrated survey system(iUAGS) in china

&amp;lt;p&amp;gt;iUAGS is an emerging UAV aerogeophysical integrated survey system ( magnetic &amp;amp; radiation) based on the rainbow series UAV(the CH-3),which has many advantages such as long-endurance,low altitude, all-day time work ability, high precision,low cost,etc.It&amp;amp;#8217;s leading researched and developed by Institute of Geophysical and Geochemical Exploration (IGGE) of China Geological Survey (CGS).Since 2013,more than 150,000 kilometers&amp;amp;#8217; pretty good and high quality geophysical data have been acquired using iUAGS in Duobaoshan of Heilongjiang province , Karamay and Kashi area of Xinjiang province,YanCheng of Jiangsu province in china.And a new survey hosted by IGGE is now working for earth deep probe project in southern china.With the development of UAV and aerogeophysical technology&amp;amp;#65292;We believe that iUAGS will be widely and better used in more fields.&amp;amp;#160;&amp;amp;#160;&amp;lt;/p&amp;gt;
Planning for Compilation of a Quantum Algorithm for Graph Coloring

The problem of compiling general quantum algorithms for implementation on near-term quantum processors has been introduced to the AI community. Previous work demonstrated that temporal planning is an attractive approach for part of this compilationtask, specifically, the routing of circuits that implement the Quantum Alternating Operator Ansatz (QAOA) applied to the MaxCut problem on a quantum processor architecture. In this paper, we extend the earlier work to route circuits that implement QAOA for Graph Coloring problems. QAOA for coloring requires execution of more, and more complex, operations on the chip, which makes routing a more challenging problem. We evaluate the approach on state-of-the-art hardware architectures from leading quantum computing companies. Additionally, we apply a planning approach to qubit initialization. Our empirical evaluation shows that temporal planning compares well to reasonable analytic upper bounds, and that solving qubit initialization with a classical planner generally helps temporal planners in finding shorter-makespan compilations for QAOA for Graph Coloring. These advances suggest that temporal planning can be an effective approach for more complex quantum computing algorithms and architectures.
Mixture of Gaussians based robust sparse representation for erratic noise suppression

PreviousNext No AccessSEG Technical Program Expanded Abstracts 2020Mixture of Gaussians based robust sparse representation for erratic noise suppressionAuthors: Weiwei XuYanhui ZhouXiaokai WangWenchao ChenWeiwei XuXi’an Jiaotong UniversitySearch for more papers by this author, Yanhui ZhouXi’an Jiaotong UniversitySearch for more papers by this author, Xiaokai WangXi’an Jiaotong UniversitySearch for more papers by this author, and Wenchao ChenXi’an Jiaotong UniversitySearch for more papers by this authorhttps://doi.org/10.1190/segam2020-3427530.1 SectionsSupplemental MaterialAboutPDF/ePub ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinked InRedditEmail AbstractRandom noise suppression is always a crucial procedure of seismic processing. Conventional sparsity-based methods with least-squares based likelihood have demonstrated their usefulness in Gaussian random noise suppression. However, they are not robust to the erratic noise which possesses high-amplitude feature and follows non-Gaussian distribution. To solve this issue, we present a mixture of Gaussians based robust sparse representation model (noted as TREASURE), for erratic noise suppression. In which, the noise is modeled as a specific mixture of Gaussians (MoG) distribution and the basic idea is that the MoG distribution is a universal approximator for any continuous distribution. In addition, the sparse prior is combined with such noise modeling to present robust and sparse representations. In particular, we present an efficient algorithm to estimate the parameters in TREASURE via expectation maximization (EM) and Linearized-Bregman (LB) algorithms. Experimental results of both synthetic and field data sets show the better performance in comparison to conventional method.Presentation Date: Wednesday, October 14, 2020Session Start Time: 9:20 AMPresentation Time: 10:10 AMLocation: Poster Station 13Presentation Type: PosterKeywords: noise, signal processing, algorithm, machine learning, attenuationPermalink: https://doi.org/10.1190/segam2020-3427530.1FiguresReferencesRelatedDetails 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 Weiwei Xu, Yanhui Zhou, Xiaokai Wang, and Wenchao Chen, (2020), "Mixture of Gaussians based robust sparse representation for erratic noise suppression," SEG Technical Program Expanded Abstracts : 3274-3278. https://doi.org/10.1190/segam2020-3427530.1 Plain-Language Summary Keywordsnoisesignal processingalgorithmmachine learningattenuationPDF DownloadLoading ...
Improved Feature Engineering for Free-Text Keystroke Dynamics

Free-text keystroke dynamics is a method of verifying users’ identity based on their unique pattern of typing a spontaneous text on a keyboard. When applied in remote systems, it can add an additional layer of security that can detect compromised accounts. Therefore, service providers can be more certain that remote systems accounts would not be compromised by malicious attackers. Free-text keystroke dynamics usually involve the extraction of n-graphs, which represent the latency between n consecutive events. These n-graphs are then integrated with one of the various existing machine learning algorithms. To the best of our knowledge, n-graphs are the most widely used feature engineering for free text keystroke dynamics. We present extended-n-graphs, an improved version of the commonly used n-graphs, based on several extended metrics that outperform the traditionally used basic n-graphs. Our technique was evaluated on top of the gradient boosting algorithm, best performing algorithm on basic n-graphs and several additional algorithms such as random forest, K-NN, SVM and MLP. Our empirical results show encouraging 4% improvement in the Area Under the Curve (AUC) when evaluated on a publicly used benchmark.
Spectral Super-resolution by Image Sensor Tilting

We propose a spectral super-resolution method to utilize additional rows using an area sensor tilting to enhance spectral measurement. To verify our method, we conducted preliminary experiments measuring sunlight and a low-pressure mercury-vapor lamp.
Mineralogical and geochemical evidence of late epithermal alteration in the Kisladag porphyry gold deposit, Usak, Western Turkey

The Kisladag porphyry gold deposit is related to Miocene intrusive and sub-volcanic rocks that resulted from an extensional tectonic regime in western Anatolia. The main lithologies of the deposit are quartz-trachytes to quartz-latites and volcanoclastic rocks intruded by sub-volcanic porphyritic rocks. Three different intrusive phases which have been identified from their age, alteration grade and mineralization (IN-1: the oldest intrusion, intense potassic alteration, IN-2/2A: intense clay-quartz alteration, IN-3: the youngest intrusion, weak alteration). IN-1 contains quartz, illite and kaolinite, IN-2Ahas quartz, adularia, illite, kaolinite and smectite. Alunite, jarosite and tourmaline increase in IN-1 and IN-2A; whereas biotite and illite increase in IN-1 and IN-2A, respectively. The volcanoclastic rocks are composed of quartz, alunite and kaolinite/halloysite indicating advanced argillic alteration. Although the microscopic data confirms potassic and phyllic alterations in IN-1 andIN-2A, mineralogical (well crystallized 1M and poorly crystallized 1M d illite, kaolinite/halloysite, alunite, jarosite) and geochemical (K/Ar age data for different grain-sized illite indicating late overprinting at least 5 Ma) data indicate that the early stage alteration phases were overprinted by the late stage epithermal alteration.
An Event Study of the Effects of Cryptocurrenty Thefts on Crypotcurrenty Prices

This research investigates the effect that news of a cryptocurrency theft has on the price of cryptocurrencies. This could include thefts from large exchanges, direct thefts to the technology or thefts of large holders of cryptocurrency. Conventual wisdom would suggest that the price of cryptocurrencies would decrease because the news of theft highlights that cryptocurrencies can be stolen. An event study was conducted on normalized prices of cryptocurrencies over a 3-day window when news of cryptocurrency thefts were released. This research shows that cryptocurrency prices actually rise when there is news of cryptocurrency thefts.
Lightweight and Secure Image Segmentation-Based Consensus Mechanism

Consensus mechanism is a fundamental technology of blockchain, ensuring the stability. The most popular consensus mechanism is proof-of-work mechanism. It attracts massive nodes through the distributed network and requires the nodes to generate nonces and hash them to accumulate workload. However, most of the generated nonces and hash values are meaningless and discarded. Such massive quantity of computational power id dedicated for nothing, which proves that the power is not used in an effective way. Thus, this paper proposes a neoteric MDL criterion of image segmentation based on an efficient chain code with Huffman coding and a novel consensus mechanism for blockchain using image segmentation with the proposed MDL criterion as the procedure of accumulating workload and generating nonces.
Relationships in semantic data cubes

&amp;lt;p&amp;gt;&amp;lt;span&amp;gt;Linked data is a method for publishing structured data in a way that &amp;lt;/span&amp;gt;also expresses its semantics. This semantic description is implemented &amp;lt;span&amp;gt;by the use of vocabularies, which are usually specified by the W3C as web standards. However, anyone can create and register their vocabulary &amp;lt;/span&amp;gt;and register it in an open catalogue like LOV.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;&amp;lt;span&amp;gt;There are many situations where it would be useful to be able to publish multi-dimensional data, such as statistics, on the web in such a way that it can be linked to related data sets and concepts. The Data Cube vocabulary provides a means to do this using the W3C RDF (Resource Description Framework) standard. The model underpinning the Data Cube vocabulary is compatible with the cube model that underlies SDMX (Statistical Data and Metadata eXchange), an ISO standard for exchanging &amp;lt;/span&amp;gt;and sharing statistical data and metadata among organizations [1].&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;Given the dispersed nature of linked data, we want to infer &amp;lt;span&amp;gt;relationships between Linked Open Data datasets based on their semantic description. &amp;lt;/span&amp;gt;&amp;lt;span&amp;gt;In particular we are interested in geospatial relationships.&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&amp;lt;/span&amp;gt; We show a generic approach for relationships in semantic data cubes using the same taxonomies, related dimensions, as well as through &amp;lt;span&amp;gt;structured geographical datasets. Good results were achieved using &amp;lt;/span&amp;gt;structural geographical ontologies in combination with the generic &amp;lt;span&amp;gt;approach for taxonomies.&amp;lt;/span&amp;gt;&amp;lt;/p&amp;gt;&amp;lt;div&amp;gt; &amp;lt;div&amp;gt;&amp;amp;#160;&amp;lt;/div&amp;gt; &amp;lt;/div&amp;gt;&amp;lt;p&amp;gt;&amp;lt;span&amp;gt;&amp;lt;br&amp;gt;[1]&amp;amp;#160; &amp;amp;#160; &amp;amp;#160;Cyganiak, Reynolds, Tennison:&amp;amp;#160; The RDF Data Cube Vocabulary, W3C Recommendation, 16 January 2014, &amp;lt;br&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;/p&amp;gt;
Security Characterization and Expression in Data Publishing Using Selection Algorithm

The expanding enthusiasm for gathering and distributing a lot of people information open for various purposes to research, showcase examination and practical measures have made significant security worries about people delicate data. Privacy-preservation data publishing has received lot of thoughtfulness, as it is always a problem of how to protect database of high dimension. We propose a structural importance aware approach to quantify the vulnerability/de-anonymizability of graph data to structure-based De-Anonymization (DA) attacks. We quantify both the seed-based and the seed-free Relative De-anonymizability (RD) of graph data for both perfect DA  and partial DA under a general data model trust evaluation mechanisms among different entities in human society are fitted and the multi-granularity selection standard of trust levels based on Gaussian cloud transformation is constructed. They are non-sensitive data and sensitive data.
Governing Smart Spaces Through Autonomous Vehicles

Autonomous vehicles may be understood to govern the spaces around them through their technological composites. This understanding of governance, or control, diverges from established perspectives in intellectual property and competition law according to which technological control is assessed in relation to societal, or market, effects. This chapter bypasses such questions by exploring how autonomous vehicles can be understood to interact with their surrounding environment, whether urban or not, and how this in itself can be considered a new form of control.To arrive at a visualization of this type of governance, a theory of spatial property is here deployed and developed. In short, this theory implies that property can be understood as something that holds up bodies in, and as, space. The aim of pursuing such a perspective is to show that governance occurs through different interfaces between autonomous vehicles and space. In sum, this chapter suggests a threefold understanding of governance in terms of how autonomous vehicles could govern smart spaces: through data commodification, through control over the surrounding space’s materialities and through control over the interpretation of space.
PDE Based Dense Depth Estimation for Stereo Fisheye Image Pair and Uncertainty Quantification

Dense estimation of depth from stereo pinhole image pair is a well known problem and seems to be easily solvable by both classical as well as machine learning algorithms. However, dense depth estimation from stereo fisheye image pair is apparently a more challenging problem. There are two main factors adding to the complexity of the problem: (I) owing to the wider field of view, the fisheye lenses are inherently nonlinear thus making the estimation problem harder. (II) because we want to estimate depth for every pixel coordinate from just two images, i.e. a calibrated stereo pair, the data is statistically insufficient thus greatly complexifying the problem. To alleviate (II) many depth estimation algorithms enlarge their parameter space by incorporating pose parameters and work on image sequence (esp. videos). Here we stick to the stereo camera setting and provide a novel estimation technique and quantify its uncertainty. We use the technique of variational calculus to derive a (noisy) pde for which wellposedness is proved and then solved in the least square sense using proximal algorithms. This setting enables us to invoke the standard machinery of nonlinear least squares for generating the covariance estimates. Most state of the art algorithms that are based on deep learning (nonlinear regression) technique fail to say anything about the uncertainty of the outputs which is of paramount importance in safety critical applications for e.g. arising in automotive domain. Lastly, our methodology has the advantage of being massively parallelizable for hardware implementation thereby offering lesser runtime.