Reviewerly/exHarmony huggingface dataset:
GENERALIZED KNOWLEDGE DISTILLATION FOR MULTI-SENSOR REMOTE SENSING CLASSIFICATION: AN APPLICATION TO LAND COVER MAPPING

Abstract. Due to the proliferation of Earth Observation programmes, information at different spatial, spectral and temporal resolution is collected by means of various sensors (optical, radar, hyperspectral, LiDAR, etc.). Despite such abundance of information, it is not always possible to obtain a complete coverage of the same area (especially for large ones) from all the different sensors due to: (i) atmospheric conditions and/or (ii) acquisition cost. In this context of data (or modalities) misalignment, only part of the area under consideration could be covered by the different sensors (modalities). Unfortunately, standard machine learning approaches commonly employed in operational Earth monitoring systems require consistency between training and test data (i.e., they need to match the same information schema). Such a constraint limits the use of additional fruitful information, i.e., information coming from a particular sensor that may be available at training but not at test time. Recently, a framework able to manage such information misalignment between training and test information is proposed under the name of Generalized Knowledge Distillation (GKD). With the aim to provide a proof of concept of GKD in the context of multi-source Earth Observation analysis, here we provide a Generalized Knowledge Distillation framework for land use land cover mapping involving radar (Sentinel-1) and optical (Sentinel-2) satellite image time series data (SITS). Considering that part of the optical information may not be available due to bad atmospheric conditions, we make the assumption that radar SITS are always available (at both training and test time) while optical SITS are only accessible when the model is learnt (i.e., it is considered as privileged information). Evaluations are carried out on a real-world study area in the southwest of France, namely Dordogne, considering a mapping task involving seven different land use land cover classes. Experimental results underline how the additional (privileged) information ameliorates the results of the radar based classification with a main gain on the agricultural classes.
ANALISA PENGUASAAN BAHASA INGGRIS CALON SDM KEPARIWISATAAN DALAM MENYONGSONG PARIWISATA BUDAYA

With the focus of Bali tourism development which is directed to the cultural tourism, every aspired tourism industry worker needsÂ  to have deep understanding on cultural tourism, the implementation of it. However, students capability in carrying this responsibility still needs to be studied. This research aimed at identifying the students knowledge about cultural tourism and their perception and opinion regarding the English for Cultural Tourism study. To achieve these goals, a descriptive quantitative study as well as document study were conducted. There were a questionnaire handed out to 50 aspired tourism industry workers. Additionally, some documents were analyzed to achieve this goal. From this research it was found out that although many aspired tourism industry workers have confidence in their knowledge about cultural tourism, only a few students were confident enough to use English in explaining the culture to the tourist. Therefore, education institution which handle the development of human resources in tourism needs to give more focus on English for local culture. Â  Keywords : English, Cultural Tourism
Publisher Correction: Imaging switchable magnetoelectric quadrupole domains via nonreciprocal linear dichroism

An amendment to this paper has been published and can be accessed via a link at the top of the paper.
AN EFFICIENT CLASSIFIER FOR DETECTING MALICIOUS FACEBOOK APPLICATIONS

Day by day addictivess of facebook is rapidly increasing due to third party applications. Taking this is an advantagehackers have realized to spread malicious applications to hack user details. So, our main theme is to build up a tool called asRigorous Application Evaluator(FRAppE) of facebook to detect facebook applications which are malicious. To classify anapplication we maintain some characteristics which help us differentiate apps which are benevolent and harmful. As anillustration, if that appsare examined which are malicious having names similar, information in app summary and they haveless permission sets and same URLs. Based on these features we train our dataset and using SVM classification technique weclassify the new application as benign or malicious. FRAppE is a toolwhich acts like aindependentwatchdogforclassifying anapp and warns the users before installing an application.
Research Guides: Information for New Faculty: Publication & Dissemination of Research

Information about library resources and services for new (and existing) faculty Information to support your publishing success
Activiome: A System for Annotating First-Person Photos and Multimodal Activity Sensor Data

Recognizing human activities in everyday environments remains a significant challenge in ubiquitous computing research. In this paper, we present Activiome, an end-to-end system designed to facilitate label annotation for activity recognition in real-world settings. It captures and processes in-situ multimodal sensor data and associated ground truth labels in the form of first-person photos. Participants can annotate their own data through a private web application interface. In addition to the Activiome system, which we are making available to the research community, our contributions include a detailed account of challenges and opportunities we encountered while developing and using the system over the last 5 years; this includes an evaluation of the Activiome mobile application's battery performance, a discussion of human concerns such as privacy, and a survey-based examination of comfort and perception issues affecting everyday usage of the system. We believe Activiome represents a valuable contribution to the community and its ongoing efforts to scale up activity recognition research beyond the walls of the laboratory.
Pixel of matter

Using volumetric filmmaking as a medium for artists and designers requires the development of new methodologies and tools. We introduce an installation art project using the active volumetric filmmaking technology to investigate its possibilities in art practice. To do that, we developed a system to film volumetric video in real time, thereby allowing its users to capture large environments and objects without fixed placement or preinstallation of cameras. Active volumetric filmmaking helps us realize the digital reconstruction of physical space in real time and can be expected to ultimately facilitate the coexistence of real and virtual spaces.
Malicious and benign websites classification using machine learning methods

Nowadays web surfing is an integral part of the life of the average person and everyone would like to protect his own data from thieves and malicious web pages. Therefore, this paper proposes a solution to the discrimination of malicious and benign websites problem with desirable accuracy. We propose to utilize machine learning methods for classification malicious and benign websites based on URL and other host-based features. State-of-the-art gradient-boosted decision trees are proposed to use for this task and they have been compared with well-known machine learning methods as random forest and multilayer perceptron. It was shown that all machine learning methods provided desirable accuracy which is higher than 95% for solving this problem and proposed gradient-boosted decision trees outperforms random forest and neural network approach in this case in terms of both overall accuracy and f1-score.
SOCIAL MEDIA AS AN AUTONOMOUS LEARNING FACILITY TO ENHANCE WRITING SKILL IN DIGITAL ERA

This paper focuses on the using of social media as part of digital medias to enhance writing skill that to be one of  issues of Indonesian students. Internet facilities and social media are becoming increasingly important and take a strategic role in most of human activities included education and learning sector. The study was conducted at Tidar University, explored the experiences of second semester students supported the hypothesis that as students from non-English countries enter the globalization era where English is the norm, they are faced with the challenge of learning a new language especially in writing which has many requirements to make it such as vocabularies, grammar ideas and habit as a prerequisite to successful and further thriving .The fact that Indonesian students often played digital media as online communication stimulates young learners social connectedness. Academic achievement would also benefit from their activities, having access to a teaching material aimed at delivering skills for the use of Internet and digital technology. From the qualitative research done, the writer explored the new trend of digital media especially using social media to enhance writing ability as the facilities in autonomous learning because they are confronted with social media in their daily life anyway where they could use many channels they wanted to receive the information and learnt to share their writing freely and comfortably. From  findings, it can be concluded that social media boosts the writing proficiency, influences the autonomy and promotes independent of learning writing, improves the vocabularies references, increases the confidences, explores the experience and styles  also solves other academic difficulties such as grammatical rules, exploring  and also developing ideas
KATEGORI DAN PERAN SEMANTIS VERBA DALAM TEKS BERITA PENDIDIKAN

Penelitian ini bertujuan untuk mendeksripsikan kategori dan peran semantis dari argumen verba dalam naskah berita media daring liputan6.com, cnnindonesia.com, dan sindonews.com. Penelitian dilakukan dengan pendekatan kualitatif dan jenis penelitian deskriptif. Dalam mengumpulkan data digunakan teknik dokumentasi, yaitu dengan membaca keseluruhan sumber data, dan mencatat data yang diperlukan. Analisis data dilakukan dengan teknik ganti dan teknik sisip. Berdasarkan analisis data, diperoleh hasil sebagai berikut. Pertama, kategori verba keadaan yang bersubkategori verba keadaan posesi, verba keadaan pengalaman, verba keadaan lokatif, dan verba keadaan yang bukan posesi, pengalaman, dan lokatif. Kedua, verba aksi yang bersubkategori verba aksi benefaktif, verba aksi pengalaman, verba aksi lokatif, dan verba aksi yang bukan benefaktif, pengalaman, dan lokatif. Ketiga yaitu verba proses yang bersubkategori verba proses benefaktif, verba proses pengalaman, dan verba proses yang bukan benefaktif, pengalaman, dan lokatif. Peran semantis yang diperoleh yaitu pengalam, pengalam hasil, pengalam stimulus, pengalam lokatif, agen, pemengaruh, agen penerima, agen penderita, dan agen lokatif. Kata kunci: kategori semantis, peran semantis, verba, berita pendidikan This research aims to describe the categories and semantic roles of verbs in the news text of online media liputan6.com, cnnindonesia.com, and sindonews.com. The research was conducted with a qualitative approach and descriptive research. In collecting the data, used the documentation technique, which is read the entire data source and record the data needed. The analysis is done with changing technique and insertion technique. Based on data analysis, the following results are obtained. First, the state verb, consists of possess, experience, locative and the state verb which not include in that three categories. Second, action verb, consists of benefactive, experience, locative, and the action verb which not include in that three categories. Third, process verb consists of benefactive, experiences, and process verba which not include in that categories. The semantic roles obtained in this research is experience, experience-product, experience-stimulus, experience-locative, agent, influencer, agentreceiver, agent-patient, and agent-locative. Keyword: semantic categories, semantic roles, verbs, education news
Writing Anxiety and Facebook-mediated Feedback

Feedback can be classified into two common types, namely teacher and peer feedback. Teacher feedback is feedback provided by teachers and peer feedback is feedback provided by other students. The aim of this article is to explore writing feedback provided by students and its impact to the quality of writing by students who reeceive the feedback. The research was undertaken to higher education students enrolled in wtiting class. The result showed that writing in foreign language makes the students experience different dimensions of writing anxiety, such as somatic anxiety, avoidance behavior, and cognitive anxiety.
Penerapan Bahasa Inggris Dalam Pengajaran Empat Mata Pelajaran Utama Pada Jenjang Sekolah Dasar

As a prospective professional teacher in the future, especially with the market demand, the primary school teacher education (PGSD) students have the opportunity to have career in primary schools with academic skills. To be able to improve their overall competency, having English language skills will certainly become good value. Especially, if they later have career at an international standard primary school, delivering material in English language is definitely a challenge. However, it does not mean that it is unable to overcome. There are a variety of tips that students can practise in teaching four main subjects, which are mathematics, natural science, social science and civics or citizenship education in English. The PGSD students must have high motivation to be able to master English language for supporting their careers later, thus they are able to become teachers who are not only capable of teaching subject matters, but can also utilise English language appropriately and accordingly. Keywords: The primary school teacher education, English language, four main subjects
Research on the application of blockchain technology in the financial field from the perspective of The Belt and Road Initiative

Abstract: With the continuous deepening of The Belt and Road Initiative development strategy in China, blockchain technology has been more and more widely applied in the financial field. In recent years, the overall operation situation of China's financial sector is stable. However, with the reform of the economic system and the innovation of the financial sector, there are still many problems in China's financial sector that need to be improved. With its application advantages, blockchain technology has solved many problems in the financial field. This paper analyses and discusses the application of blockchain technology in the financial field from the perspective of "The Belt and Road Initiative".
Basu, Laura. Media amnesia: rewriting the economic crisis. vi, 274 pp., tables, bibliogr. London: Pluto Press, 2018. £24.99 (paper)

Journal of the Royal Anthropological InstituteVolume 26, Issue 3 p. 665-666 Book reviews Basu, , , Laura. Media amnesia: rewriting the economic crisis. vi, 274 pp., tables, bibliogr. London: Pluto Press, 2018. £24.99 (paper) Andreas Streinzer, Andreas Streinzer Goethe UniversitySearch for more papers by this author Andreas Streinzer, Andreas Streinzer Goethe UniversitySearch for more papers by this author First published: 07 August 2020 https://doi.org/10.1111/1467-9655.13327Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinkedInRedditWechat Volume26, Issue3September 2020Pages 665-666 RelatedInformation
Игра: выбор человека или алгоритм выбора человека?

The article deals with the problem of choice in virtual reality. Kinds of VR are analyzed, with closer attention being paid to Common Infrastructure VR. The conclusion about choosing in VR is made with the help of MMOG Final Fantasy XV: A New Empire.
The Role of Inventory Accounting Information Systems in Supporting The Effectiveness of Internal Control Inventory

In general, in a company it is necessary to manage all adequate resources for its various activities. So as to achieve the company's operating goals, namely efficiency (minimum expenditure of resources) and effectiveness (achieving desired results). In general, each company has an accounting information system, each of which is adjusted to the scope of business activities, conditions, and company needs. An accounting information system was created to identify, classify, analyze, record, and report transactions from business units. Based on this consideration, this research was conducted to find out how the implementation of inventory accounting information systems to support the effectiveness of internal inventory control on the CV. Mulia Raya Prima in Bandung. The method that will be used in this research is descriptive method that is by emphasizing the observation (observation) related activities that occur in the company CV. Noble Raya Prima. In order to obtain a picture of the facts and properties that support each other between the inventory accounting information system with internal inventory control, then analyze the results of the study by making a comparison (comparison) of standards applied by the company (through interviews with the leaders of CV. Mulia Raya Prima with the circumstances actually what happens is based on observations. Based on the results of research on the role of inventory accounting information systems on the effectiveness of internal inventory control, it is known that the inventory accounting information system applied to CV. Mulia Raya Prima is quite effective in supporting inventory internal control. The company also has an internal oversight unit which is added by supervision from the company's leadership which is quite good.
Learning from Simulation to Improve Robotic Sensing

The ability of the robot to sense its environment is essential for its autonomous operation. Preciseobject detection and pose estimation, derived from the sensing capabilities, is crucial for theautonomy of any robotic system. Deep learning and neural networks have already revolutionizedthis field. The research community has successfully developed powerful deep learning algorithmsusing neural networks for faster and accurate object detection and pose estimation. However,these methods require a large amount of annotated dataset for the training of neural networks.Preparation of such high quality annotated dataset is expensive and time-consuming. Analternative method is to make use of the easily available simulation data instead of real data fortraining. Because of the domain gap between the simulation and the real data, networks trainedwith simulation data fails to perform well on real images.This thesis explores the possibility of generating realistic looking images using Generativeadversarial network (GAN), in order to overcome the existing domain gap between the simulatedand real images. Recent research on GANs has shown that these networks are capable of producingphoto-realistic images and is a promising new area of the research field for producing realisticsynthetic images. Inspired from one of the variants of GAN known as CycleGAN, the proposedwork explores the possibility of generating realistic images from simulated images using modifiedCycleGAN architecture. Using the T-LESS and YCB dataset as the benchmark, the generatedimages are then evaluated by training an object detector network. The quality of the generatedimages are measured by the accuracy of the detector and then compared with the real domainimages.
ANTARA: In-between Language and Art

In the context of communication, especially dialogic and generative approach to expression of culture, the concept of Art can seem as the best mode of conveyance. Such enunciation of culture through Art is substantiated by capturing all the sufficient properties of the subject of Art through language. Simply put, language is employed to describe, comprehend and communicate ideas represented in Art by having concrete sets of communicative principles that governs meaning. This paper argues such governance of meaning by language limits the potentiality of Art. It proposes the inherent obscurity in defining Art operates as a radical deconditioning through which any attempt to fix the representational meaning of Art by language is resisted. Specifically, the paper considers such resistance with the use of word ‘ANTARA’ as an exhibition concept in which works that were shown are inextricably bound by the mutual conditionality relation between language occurrence and specificity of cultural expression
The Recognition of Bimodal Produced Speech based on Multi-style Training

In this paper an analysis on the recognition of words from speech database Whi-Spe in normal and whispered phonation, based on the conventional HMM/GMM framework, is presented. The analysis based on multi-style training is performed in the speaker dependent (SD) and speaker independent mode (SI). The analysis showed that a small portion of whisper data in training (10%) is required for the recognition of whisper higher than 90%, for both the SD and SI recognition.
Judicial Support of High-Tech Crime Research

The future is developing at a continuous pace.The main areas of modern technological advances cover space, genetics, food production and telecommunications.While mankind sees the first two trends evolving in the positive direction, there is a growing public concern over food production as experts appear to be increasingly alarmed over food quality.This is due to the fact that in increasing the productivity of food production, modern corporations downgrade the quality of food products in order to boost their profits.However, experts expect most abuses to occur in such an industry as telecommunications in the very near future.
AN EFFICIENT IMPLEMENTATION OF BLOCK-CHAIN-BASED MANAGEMENT OF VIDEO SURVEILLANCE SY -

In this paper we are proposing a blockchain based video surveillance system. The proposed framework includes a collection of blockchain, with trusted internal managers. The video metadata is registered on the blockchain's distributed ledger thus preventing the possibility of data forgery. Proposed designs encrypt and collects footages, generates a license and exports video inside the blockchain. Because the blockchain's private database manages the decryption key for the film, the internal manager does not leak it without the consent of the owner. Also, the admin can securely maintain and send the footages by sending it to the DRM-applied video player the license created in the blockchain.
De-Noising of Uterus Fibroid Ultrasound Image Using Gaussismooth Convolution Filter (GSCF)

This paper discusses the methods to detect the presence of uterus fibroid in woman by implementing various image processing techniques. The input image is an ultrasound image as it is cost effective when compared to other imaging techniques like CT, MRI. The initial step in image processing is to remove noise by applying filters. Application of filters smoothen the image without blurring the image. Gradient of the processed image is calculated and the image is enhanced by sharpening the edges of the image are achieved by calculating the local maxima of the gradient. Then, the edges are decided by calculating the threshold value of the processed image. The proposed Gaussismooth Convolution Filter gives better results when compared with other existing filter with PSNR value of 94%.