Reviewerly/exHarmony huggingface dataset:
Problems and Solutions in Implementing Science Education in Rural Kindergartens at Present

Compared with the city, the implementation of science education activities in rural kindergartens has some problems such as the lag of science education concept, the shortage of full-time teachers, unreasonable education contents, single teaching methods and organizational forms, and unreasonable evaluation. This paper puts forward some strategies to solve these problems: changing ideas, renewing the concept of scientific education in kindergartens, matching full-time teachers, establishing an effective training mechanism for rural preschool teachers, building a diversified training model for preschool teachers, making full use of rural resources, and establishing a correct evaluation concept.
A Differential Privacy Workflow for Inference of Parameters in the Rasch Model

The Rasch model is used to estimate student performance and task difficulty in simple test scenarios. We design a workflow for enhancing student feedback by release of difficulty parameters in the Rasch model with privacy protection using differential privacy. We provide a first proof of differential privacy in Rasch models and derive the minimum noise level in objective perturbation to guarantee a given privacy budget. We test the workflow in simulations and in two real data sets.
Colored facial image restoration by similarity enhanced implicative fuzzy association memory

Image restoration refers to the recovery of an underlying image from an observation that has been corrupted by various types of noise. In a digital forensic software, such image restoration process should be noise-tolerant, robust, fast, and scalable. In this paper, we apply implicative fuzzy association memory structure in colored facial image restoration with enhanced similarity measure involved in output computarion. The efficacy if the proposed fuzzy associative memory model is verified by the experiment in that it was 95% successful (with zero mean square error) out of 20 tested images.
Local and Open ICH Archives: Developing Integration and Interaction Tools

The UNESCO Convention of 2003 has promoted the growth of online inventories containing multimedia data, even if usually developed as data silos and searchable with different and rigid criteria. We present here a work-in-progress that aims to overcome these limits, studying the implementation of a system that allows to query different inventories simultaneously in the same way, whether they are local or not, overcoming the limit represented by data different languages and providing intuitive and attractive search tools. The query criteria designed combine keywords semantic together with temporal and space information to create useful tools for intangible heritage data. The main points are: the use of MultiWordNet to structure the document keywords, the generation of thematic paths, the creation of table games.
Assessment of the Level of Mastering by Students of Primary Grade of Cognitive Universal Educational Activities

The article deals with the actual problem of organizing the process of assessing the degree of formation in primary schoolchildren of universal educational activities in the context of the implementation of the Federal State Educational Standard of Secondary General Secondary Education. The technology of estimation is presented, methods, forms and means are disclosed that allow to concretize and streamline the assessment procedure; include younger students in assessment activities; provide information that is necessary for the effective management of the education system.
Discrete versus Continuous Models of Response Preparation: A Reaction-Time Analysis

Results are reported from a response-priming procedure designed to investigate how partial information is accumulated by rapid mental processes during the performance of reaction-time tasks. When a delay occurs between a priming stimulus and a subsequent test stimulus, the results reveal that subjects typically use the prime to prepare for the response required by the test stimulus, producing faster reaction times. Depending on the amount of delay, observed reaction-time distributions are mixtures of a few underlying component distributions. Such an outcome, which complements some of our other findings (Meyer & Irwin, 1982), provides further tests for continuous (e.g., cascade and random-walk) models versus discrete (e.g., stage) models of information processing and response preparation. It suggests that response preparation involves only a small number of discrete states. This is consistent with stage models of preparatory processes and casts doubt on cascade models.
Shadow Removal in High-Resolution Satellite Images Using Conditional Generative Adversarial Networks

In satellite image processing, obscure zones that were affected by shadows are normally discarded from further processing. Nevertheless, for specific applications, such as surveillance, it is desirable to remove shadows despite the fact that reconstructed zones do not necessarily have real reflectance values. In that sense, we propose a shadow removal method in high-resolution satellite images using conditional Generative Adversarial Networks (cGANs). The generator network is trained to produce shadow-free RGB images with condition on a satellite image patch altered with artificial shadows and concatenated with its respective binary shadow mask, while the discriminator is adversely trained to discern if a given shadow-free image comes from the generator or if it is an original RGB image without artificial alteration. The method is tested in the proposed dataset achieving an error ratio comparable with the state of the art. Finally, we confirm the feasibility of the proposed network using real shadowed images.
Does Bitcoin Follow the Market Conditions Anymore?

Recent research on the economics of digitization investigates the dramatic changes in markets by digital technology. Digital technology has caused significant differences in in the cost of storage, computation, and transmission of data. As one of the latest sign of digitization in our life, the use of cryptocurrencies has been drawing attention of all market players. Blockchain technology is recently reallocating resources, restructuring of routines, changing market relationships and patterns of the flow of goods and services. This study investigates the coherence of Bitcoin with the movements of the main indicators of different markets. Aim of this research is to clarify whether this cryptocurrency follows the market conditions or not. Because the movements of the market values of Bitcoin are aimed to be investigated to show that they can be used separately as a tool of risk management. For this reason, wavelet analysis has been employed to define cross-correlation between time series of the daily USD value of Bitcoin and some market indicators. Some literature asserts that Bitcoin has recently started to follow market conditions. If Bitcoin process follows the market conditions more than before, that if This analysis will explain if there is a change in hedging possibility of Bitcoin recently.
Study of Real Toy Tank-Based Mixed Reality Contents

Mixed Reality (MR) has advantages of a high immersion from virtual reality (VR) and a high sense of reality from augmented reality (AR). MR enables users to have various experiences by providing an environment in which real and virtual worlds are interconnected. The MR technologies are advancing by combining the advantages of VR and AR. This study presents the elements and techniques required to efficiently implement contents in MR and creates MR contents based on them.
Upphovsrätten v. Artificiell Intelligens - En studie om relationen mellan upphovsrätten och artificiell intelligens

The relationship between copyright law and the technical advancement of today can be questioned when non-human actors has begun to generate artistically recognized works. The new actors are regarded to as the artificially intelligent robots, machines and computers. This relationship has caused a gray zone to appear in the current legislations, where these rules can be considered inconsequent regarding the rights and obligations concerning artificial intelligence. The first part of the thesis is devoted to examining if an artistic product created by artificial intelligence can be eligible for copyright protection. This question poses further questions regarding to whom the copyright should be allocated, should the work be eligible for copyright protection. Furthermore, the thesis also touches upon the issue of copyright infringement from an artificial intelligence perspective regarding the liability. In conclusion, the thesis determines that the current legislation lacks a complete coverage of situations where artificial intelligence is involved in the creation process, especially when fully autonomous machines are performing the actions. (Less)
PEMANFAATAN GOOGLE MAP API GUNA OPTIMALISASI IDENTIFIKASI ASET PEMERINTAH KOTA SEMARANG DENGAN METODE PASSING MULTIPLE PARAMETERS

The Law on Regional Autonomy has the impact of the Regional Government having the authority to manage the assets and regional income independently. Semarang City is an area in the Central Java Province managed by the local government of Semarang city that is required to be able to carry out autonomy well. One of the things done is the management of land and building assets owned by Semarang city government that functioned for the public interest and the implementation of city government semarang. data of government assets owned by Semarang city government recorded in Identity Card belonging to the Regional Finance and Asset Management Agency (DPKAD) there are 3,092 plots of asset managed by Regional Secretariat, Institution under Semarang City Government and management by sub-district and kelurahan area.Land assets managed by the municipal government of Semarang are currently not considered optimal. The application of the management information system for the location of the city government's land assets is planned to use the Google Maps Application Programming Interface (API), can be viewed as a solution to help the implementing officer recognize the location of the asset land and provide competitive advantages and advantages in an effort to transparency of the city government semarang on assets owned and the achievement of Semarang city to semarang be smart city.With the support of management information system application of land asset location of Semarang city government which can represent referring to location of location of real asset with remote sensing (sensing) is expected to be used effectively to manage, control and control the land asset.
Research Guides: Library System Migration: Home

Information about the January 2019 migration from the ALEPH Library System to the ALMA Library System.
Partial View-Based Object Recognition using Leave-one-out Approach with Classification and Regression Trees

Object recognition from image is an intriguing task in computer vision. It is simple for human being but complex for machine because of complex background, lightening, different viewing angle, size etc. So, a typically automatic and robust system is required to recognize object. In this paper, a content-based object recognition system using only one view of the object: top view, front view, back view, side view, and also using combination of these views to recognize object from image is proposed. Color moments as well as wavelet packet entropy, which are invariant to translation, rotation, and scaling are used as features to recognize one object from another using Classification and Regression Trees. The validation method, Leave-one-out approach is followed to train and test the model. Experimental results are performed using the publicly available Cogvis ETH-80 dataset. The experimental results show that this system can perform comparable recognition of object using partial view of the object and the evaluation results conclude that the proposed system shows better results than many existing methods. Cite this Article Mohidul Islam SM, Farhana Tazmim Pinki, Partial View-Based Object Recognition using Leave-one-out Approach with Classification and Regression Trees, 2018. Journal of Computer Technology & Applications . 2018; 9(3): 9–16p.
Data Technicality and Data Management in Field Language Documentation

In Linguistic Field, different linguistic units of a particular language are collected for linguistic analysis of that language. Some ethnological data are also accumulated to know the socio-economic and cultural pattern of the specific language community. Assembled data which are captured via various electronic equipments like still camera, sound recorder or video came are of different types and different formats. They are stored by using specific digital encoding techniques, data compression techniques etc. The data also have a number of metadata associated with it. Some of the metadata are in-built remaining within the data. Some metadata are needed to collected or created at the time of data collection and data publishing. At the time of metadata description of linguistic data, one particular metadata schema or metadata standard should be followed. In this paper, different concepts and functionalities of storing, retrieving, managing and preserving linguistic data and its significance are explained in detail.
Countermeasure to protect sensitive information stealthily in remote interchanges using steganography in educational environments

Nowadays, students of electronics, electrical and computer science engineering are very much curious to know about the various security issues in wireless communication. Therefore, these students require a platform (i.e. by using Matlab software) that can fetch knowledge about the security issues in wireless communication. The Matlab software will give a perfect understanding about the mathematical concepts through a graphical representation. Therefore, students can understand the typical mathematical equation very easily. The main objective of our paper is to create a countermeasure environment that would protect the sensitive information passing through the multi-input and multi-output (MIMO)-OFDM channel. A novel remote steganography method is proposed, and the essential execution of the system was assessed. In this research work, a remote steganography utilizing the MIMO-OFDM structure, the sensitive information processing and also an Eigenbeam-space Division Multiplexing conveyance are proposed. Based on the Matlab simulation results, our proposed technique aims to reduce the bit error rate. In addition, SNR values for different modulation techniques successfully retrieved from the original information are analyzed. And finally, we make two project groups: one is related to the cryptography method and the second group is related to combining the cryptography and steganography methods, and we differentiate which group information is more secure in the wireless communication platform.
AMFC Tool: Auditing and Monitoring for Cloud Computing

Cloud Computing has been increasingly incorporated by companies as a cost-effective way to make resources and services continuously available. However, as a consequence of service downtimes at cloud providers, achieving operational reliability and resource availability are still a concern, since they can lead to loss of revenue and customer mistrust. This work presents Apache CloudStack AMFC (Auditing and Monitoring For Cloud Computing), a cloud auditing and monitoring tool aimed to perform the removal of unused data and inconsistencies, improve failure detection (reducing false positive and false negative alerts), and reduce the cost for storing persistent cloud data. All these characteristics are achieved through the synchronization of current state information with persistent orchestration data. The effectiveness of the tool is evidenced through testing on experimental scenarios generated in a controlled test environment. The experiments involved 1,320 administrative routines for virtual machine instances. It was possible to identify and eliminate inconsistencies in the persistent database, allowing a reduction in the storage cost and, consequently, an improvement on database integrity. Overall, the AMFC provided the cloud administrator with more accurate data, enhancing decision-making, allowing a better identification of problems occurring in the cloud environment.
Samba4 über die Kommandozeile verwalten

No AccessSamba 4Jan 2019Samba4 über die Kommandozeile verwaltenStefan KaniaStefan KaniaSearch for more papers by this authorhttps://doi.org/10.3139/9783446457355.017SectionsAboutPDF ToolsAdd to FavoritesDownload CitationTrack CitationsCopy LTI LinkPDF key 'share (en)' returned an object instead of string.FacebookTwitterEmailLinkedIn previous chapternext chapter FiguresReferencesRelatedDetails 2019Pages: 335-362Print ISBN: 978-3-446-45591-7eISBN: 978-3-446-45735-5 Copyright & Permissions© 2019 Carl Hanser Verlag GmbH & Co. KGPDF downloadLoading ...
Mobile Devices to Enhance Teaching and Learning in the Classroom: Some More Second Thoughts, Using Activity Theory

The focus of this interdisciplinary research is to comprehend the impacts of computing lecturers' deployment of mobile devices in the classroom for teaching and learning.Along this line of thought, the use of activity theory was paramount towards understanding the activity system which three lecturers work within.Their stances were investigated with emphasis on their lengthy years of experiences relating to teaching and learning especially using technology in addition to additional constituents of the activity system of teaching computing to higher education students within a further education college.A qualitative approach was used and the results delineate the existential nature of different ambiguities that posits at the continuum of between and within various components of the activity system.These inconsistencies include the deficiency in reflecting, teamwork, peer communication, the pressure to reduce the existing gap between theory and practice, issues with classroom sizes and the habitus of the classrooms in relation to technology enhanced learning (TEL).Numerous recommendations are put forward to alter the current state of interplay in teaching computing to higher education learners in addition to strategic deployment of mobile devices in the classroom towards fostering the growth of a technology-enhanced classroom.
Using MyEnglishLab platform to develop grammatical accuracy in speaking skills

Speaking skills development in English has being a focus of attention in the teaching of foreign languages for years. Despite its importance, many teachers still do not find the appropriate ways to introduce, provide practice, and assess the communicative functions in the teaching-learning process of English Language Teaching (ELT). The main purpose of this paper is to reflect upon the development of grammatical accuracy in speaking skills through the use of MyEnglishLab platform, taking as context the teaching learning process of English-as-a-Foreign-Language (EFL) at the Metropolitan Language School in Quito, Ecuador. It presents the main stages and criteria determined for the elaboration and assessment of a Didactic Framework for grammatical accuracy development in speaking skills. The main results of the research conducted state that there is a factual progress in the development of grammatical accuracy in students, regardless the fact that EFL teachers still have to correct the students´ works in relation to the development of speaking skills
PyRAT: A Flexible SAR Postprocessing Toolbox

PyRat (Python Radar Tools) is a flexible open-source framework for post-processing synthetic aperture radar (SAR) data. PyRAT is implementedin Python and distributed under an open-source license. It is mostly intended for post-processing of both airborne and spaceborne SAR imagery. PyRAT features an easy to use plugin-based programming interface, which allows users to quickly extend it with their own routines. PyRAT runs on various operating systems and is available free of charge on the web. The purpose of this paper is to give an overview of the current development status of PyRAT, in particular about the upcomingintergration with QGIS.
LibGuides: Human Library Event: Welcome to the Human Library!

Everything you need to know about the human library! Find information about what a human library is, what human books are, and how to participate as a reader.
Family Dynamics from the View of Theoretical Mechanics

The research object of theoretical mechanics is usually rigid rod and disc. In order to activate the teaching atmosphere of theoretical mechanics, some elements of life can be introduced in the conceptual explanation. For this reason, the family dynamics model based on force and couple is established preliminary by matching the force and couple with some elements in the family. Enlivened the classroom atmosphere and deepened students' understanding of key concepts. This teaching imaginative, broke through the engineering of the original category, associated with life, enrich the students' humanistic feelings and home care, blend in people's rational and perceptual, people become a whole person, classroom has become a whole class.
MedCop: Verifiable Computation for Mobile Healthcare System

Cloud-assisted mobile healthcare system collects and processes patients data and then stores them as personal health record (PHR). Verifiable monitoring program finds useful results by analysing PHR in cloud-assisted healthcare system. Service provider can delegate a monitoring program to the cloud storage server for providing cost effective and faster service. The cloud performs computation over PHR and sends result back to user. The correctness of the computation of the result must be accurate for critical diseases; otherwise, patient’s treatment can go with wrong diagnosis. At the same time, the monitoring program should be hidden from all entities involved in the computation except the service provider. This is a challenging research problem to provide efficient and secure verification of computation of result while keeping the monitoring program hidden from the cloud as well as users. In this paper, we present a secure and efficient scheme for verification of computation of result while keeping monitoring program hidden from the cloud and users. The proposed scheme, named as MedCop, uses somewhat homomorphic encryption for PHR encryption and a private polynomial function is used for computation on encrypted data. We show that the MedCop scheme is secure under discrete logarithm assumption and the proof of computation is unforgeable. The implementation result of the MedCop scheme shows that the proposed scheme is efficient in comparison to related schemes.