Reviewerly/exHarmony huggingface dataset:
S-RDF: A New RDF Serialization Format for Better Storage Without Losing Human Readability

Nowadays, RDF data becomes more and more popular on the Web due to the advances of the Semantic Web and the Linked Open Data initiatives. Several works are focused on transforming relational databases to RDF by storing related data in N-Triple serialization format. However, these approaches do not take into account the existing normalization of their databases since N-Triple format allows data redundancy and does not control any normalization by itself. Moreover, the mostly used and recommended serialization formats, such as RDF/XML, Turtle, and HDT, have either high human-readability but waste storage capacity, or focus further on storage capacities while providing low human-readability. To overcome these limitations, we propose here a new serialization format, called S-RDF. By considering the structure (graph) and values of the RDF data separately, S-RDF reduces the duplicity of values by using unique identifiers. Results show an important improvement over the existing serialization formats in terms of storage (up to 71,66% w.r.t. N-Triples) and human readability.
Review on Effects of Logistics Practices and Information Sharing on Supply Chain Performance

Today companies no longer compete merely as an independent business but rather as supply chains. Individual businesses no longer operate in isolation and neither should their strategic orientation be wholly individualistic. This attracted supply chain management concept to be used. Supply chain management primarily designed by firms to get competitive advantage over the rival firms and to overcome the intense global competition coming from globalization, innovation, free trade and economic cooperation formed in different region. The concept led to cooperation and integration among firms and with their suppliers, distributors, consumers, and transport agency. It is totally systematic coordination and management from upstream to downstream paths of an organization. The importance and research interest in supply chain management are growing from time to time; however, the number of professional materials and well-organized review literature is limited relative to the growing trend of the area. Therefore, this paper reviewed different supply chain management articles, reports, and books by concentrating on logistics practices and information sharing on supply chain performance to develop a well-organized research article that advances supply chain management understanding. Under the logistics practices, the major variables discussed were the effect of the road network, transportation cost, facility location, waiting time, inventory management and mode of transportation, whereas the effect information sharing discussed from the viewpoints of the level of information sharing and quality of information on supply chain performance.&#x0D;
Impact of Frame Rate in Augmented Reality for Mobile Devices

Augmented Reality applications based on fiducial markers enable real-time interactions between users and virtual/real elements. Since these applications are computationally expensive, they must be carefully designed to run on mobile devices. Developers of applications for mobile platform must be concerned to deal with minimum limits for requirements such as the frame rate. The objective of this paper is to check whether there is a correlation between the frame rate and the ease-touse of the system, in addition to finding the minimum limit for this requirement. The results showed, first, there is a correlation between these factors, and, second, the minimum limit varies according to the type of interaction.
Field position estimation in soccer videos using convolutional neural network-based image features

This paper presents a novel estimation method of field positions in soccer videos using Convolutional Neural Network (CNN)-based image features. CNN-based features have been well known to be eﬀective for tasks in machine learning. Therefore, the proposed method adopts CNN-based image features. By using these image features, the proposed method enables accurate estimation of soccer field positions than handcrafted features, i.e., Hough transform-based features. We show the eﬀectiveness of our method via experiment results using actual soccer videos.
CURRENT TRANSFORMATIONS OF EDUCATION - COOPERATIVE LEARNING STRATEGIES

The aim of this paper is to justify the importance of implementing cooperative educational strategies into the educational process based on the theoretical reflection of education in the process of society transformation.In the paper we briefly analyze education and training from the perspective of educational discourses, we define and analyze cooperative learning as a possible strategy for the development of not only the cognitive but also the non-cognitive aspect of the pupil's personality.
Panoramic image generation from a handheld video by combination of attitude sensors and image features

In this paper, we propose a method of generating a panoramic image sequence from a video sequence taken by a handheld camera. The panoramic image can be made by projective transformation with a homography matrix estimation for each frame using corresponding of image features. However, it is difficult to get a precise result because of blurring on the video by handheld operations, and movements of shooting objects in the scene. And the sensor information has several errors. Therefore, we consider using attitude sensor information together to compensate for the failure of embedding a frame onto the panoramic image. We explain a method for it and show several experimental results with considerations.
A study of recognizing flake surfaces based on feature lines of stone tool

In recent years, three-dimensional technology is capable to simplify the reassembly process of the fractured objects. The reassembly process of stone tools can be easily done by the refitted flake matching process. The refitted flake matching process is required for highly accurate segmented flakes. This work aims to extract highly accurate flake surfaces and to match the extracted flake surfaces. In addition, this paper studies the evaluation of the matching accuracy of the extracted flakes and comparison to other methods. This paper also presents an algorithm of flake surface recognition based on feature lines of stone tools. The implementation of this work can recognize flake surfaces according to the scale drawing of the stone tool with high accuracy.
A Taxonomy of Visualizations for Gameplay Data

Data logging has become increasingly popular among game developers and designers to track player-generated data in order to improve the player experience. For example, such data can be used to understand how players move through a game world to identify hot spots, for instance of player deaths or to verify problem areas. The goal of the analysis of gameplay data is to understand players’ behaviors within the game to get answers to questions such as what items they collected, in which sequence they used these items, where they wandered around, how they interacted with each other, or how they collaborated to overcome challenges together. Typically, gameplay data can be categorized into spatial and non-spatial data. A further important dimension is time, since analyzing in which order players perform their actions in the game can give interesting insights about their strategies. Comparing data values or groups of data is one of the most relevant visualization tasks as pointed out by Tominski.
Image Qualiy Improvement Using Algorithm Spatial Median Filter And Adaptive Fuzzy Contrast Enhacement

This study aims to increase the image quality in terms of contrast and noise removal, it is necessary to do processing on the image in order to be interpreted in accordance with the desired.Image in question is a static grayscale images with 8-bit PNG that have low contrast and noise levels above 10% ie 15% -50% at intervals of 5%.The author uses algorithms Median Spatial Filter (SMF) to reduce noise and Fuzzy Adaptive Contrast Enhancement Algorithm With Details Serving (AFCDP) for enhancing the contrast, where the two algorithms are combined.This technique is excellent in image enhancement, where the results of tests performed combination model can improve the image of the highest quality at 15% the percentage of noise with PSNR = 26.417and SE = 0.0387.
An augmented reality visualization algorithm of the lightweight ROV

The underwater remote control robot ROV is one of the main tools for marine exploration and development. It has great potential in deep water operations, lifesaving and salvage. At the same time, lightweight ROVs have developed new business value and a better visual experience underwater. Image processing can make the image clearer or make the image more recognizable. At present, there are two main types of underwater image processing. One is the algorithm using physical model, and the other is the algorithm using image sharpening.This paper builds on the algorithm of augmented reality visualization to help ROV pilots in the depth of scenes in underwater maneuvers. It improves the fusion of various image processing algorithms and realizes an image degrading algorithm, which can realize augmented reality visualization more effectively.
Fast Execution of an ASIFT Hardware Accelerator by Prior Data Processing

This paper proposes a new ASIFT hardware architecture that processes a Video Graphics Array (VGA)-sized (640 × 480) video in real time. The previous ASIFT accelerator suffers from low utilization because affine transformed images are computed repeatedly. In order to improve hardware utilization, the proposed hardware architecture adopts two schemes to increase the utilization of a bottleneck hardware module. The first is a prior anti-aliasing scheme, and the second is a prior down-scaling scheme. In the proposed method, 1 × 1 and 0.5 × 1 blurred images are generated and they are reused for creating various affine transformed images. Thanks to the proposed schemes, the utilization drop by waiting for the affine transform is significantly decreased, and consequently, the operation speed is increased substantially. Experimental results show that the proposed ASIFT hardware accelerator processes a VGA-sized video at the speed of 28 frames/s, which is 1.36 times faster than that of previous work.
Evaluating the Reading Section of English National Standardized School Exams (USBN): (A Field Study in SMK NU Ungaran)

With regard to the role of English in Indonesia that is mainly used for academic purpose, it is important to sharpen the two skills, reading and writing, more than the other two skills, listening and speaking. Based on that fact, this study focuses on reading skills, especially in reading comprehension skills. Reading comprehension skill is closely related to literacy levels that nowadays considered important by educational institution. The data was taken from reading comprehension questions in English USBN question sheet and the students’ answer sheets. The participants are students of XII grade of SMK NU Ungaran that are randomly chosen. The result of this study showed that Out of 50 students, 59% of them are best cope with editing task, followed by 56% in dealing with reading comprehension task, 50% of gap-filling task, 48% with short answer task and the least is 22% in vocabulary task. This meant that the proficiency level of reading comprehension of students in XII grade SMK NU Ungaran still needs to elevate. They were still lack in term of vocabulary and understanding the ideas implicitly delivered in the text.
Live Video Analytics

The articles in this special section focus on video analytics. According to a January 2013 report published by the National Public Radio, the Chinese government has installed more than 20 million cameras across the country. Similarly, a recent BBC report stated, there is one camera for every 14 people in London. Other large cities including New York, Paris, and Tokyo are also deploying cameras in large numbers, so it is reasonable to claim that networked cameras are everywhere. These cameras are deployed for a wide variety of commercial and security reasons. Further, consumer devices themselves have cameras with users interested in streaming videos live from these devices.
Forensic WhatsApp based Android using National Institute of Standard Technology (NIST) Method

WhatsApp Messenger is a popular Instant Messaging (IM) application that is widely used in the 2017-2019 range.A large number of WhatsApp Messenger users will certainly have a positive and negative impact, the negative effects that are usually found are cases of crimes such as fraud into cybercrime crimes.The way to prove the perpetrators of the crime is to find evidence through digital forensics.This case will be revealed by one branch of digital forensics, namely mobile forensics because the evidence obtained is a smartphone which is a mobile device.This research uses the method of the National Institute of Standard Technology (NIST).NIST is a method that conforms to standards in the forensic field and has 4 forensic stages namely Collection, Examination, Analysis, Reporting.The results of this study are a comparison of evidence between a smartphone in a smartphone and a smartphone without a smartphone.The rooted smartphone managed to get an 11 encrypted and 1 decrypted conversation database, 152 images received and 60 sent, 8 conversation times, 8 video notes, 3 folder voice notes, 1 document sent and 5 received.Smartphones not rooted only managed to get evidence in the form of text conversations and the time of sending messages.
Data Security in the Cloud via Artificial Intelligence with Vector Quantization for Image Compression

In this chapter two cloud compression techniques are used on an image, namely, Vector Quantization (VQ) and Feed Forward Neural Network (FFNN). VQ is used along K-Mean clustering to initiate the centroids and form the code-book. The FFNN in this algorithm has an architecture specification of 64 nodes in the input and the output layer along with 16 hidden layers with 16 nodes each. The VQ is applied first on the input image to achieve some compression and then the VQ compressed image is fed as an input to the FFNN network for additional compression. A set of observations for compression are recorded for different values of K (number of centroids) with a tile size 8. The results are obtained for different values of K such as 50, 100, 150, 200, 250, 500 and 1000. The proposed algorithm gives a compression ratio of about 2 and an acceptable PSNR of about 20 dB for the standard testing image Lena.
An Interview Study of German Teachers' Views on the Implementation of Digital Media Education by Focusing on Internet Forums in the Science Classroom.

Internet forums are interactive, question-answer-based information resources in the Internet. Users can post questions and others can answer from any place in the world and at any time. Teachers can use Internet forums to find answers on how and what to teach, e.g. science; students find or ask for information for school topics or homework assignments. Digital forums can be even used to organize communication among students or of students with their teachers. The use of Internet forums quite often is initiated unconsciously when Internet search engines, like Google, lead the user to them. The Internet provides various types of forums, ranging from very general forums to domain-specific ones such as those focusing on science-related questions. In more general Internet forums, however, it is quite common that science-related content is discussed on the basis of everyday life questions. In order to educate learners in dealing with science-related content in forums and to contribute to digital media education, it has been suggested that schools integrate and reflect upon Internet forums in formal educational settings, e.g. in science education. The question, however, remains what the individual school subjects should contribute to the process. This survey seeks to map out to which degree science teachers in Germany are aware on Internet forums and whether they are open and prepared to integrate Internet forums into their teaching. An interview study with 16 selected science teachers indicates that teachers are largely open-minded about the use of Internet forums. The survey, however, also shows that Internet forums are used only by a few of the teachers from this sample in science class. Hindering factors mentioned included time constraints, missing concepts, and lack of infrastructure.
Measuring the Intention of Using Augmented Reality Technology in the Health Domain.

Augmented Reality technology can provide useful tools and devices to support healthcare services. The aim of this study is to investigate the intention of IT and health care scientists' to use Augmented Reality technology in Healthcare. A survey was conducted using a questionnaire based on a theoretical research model. According to the results, the participants seem to have positive perception about using the Augmented Reality technology in health domain, and they intend to use it.
Design of the Codewords for Performing the Pattern Recognitions via a Set of Perceptrons with the Domains of These Activation Functions Have More Than Two Pieces

This paper proposes a method for designing the codewords for performing the pattern recognitions via a set of perceptrons with the domains of these activation functions have more than two pieces. First, perform a clustering algorithm on a set of input feature vectors. Second, initialize the total number of the perceptrons as the dimensions of the input feature vectors. Third, for each perceptron and each cluster obtained in the above, estimate the weight vector as well as both the upper and the lower projection boundaries for all the input feature vectors in this particular cluster via an optimization approach. Fourth, determine the total number of the regions generated by the activation functions such that it is larger than or equal to the total number of the clusters. Fifth, for each perceptron, perform a clustering algorithm on the sets of both the upper and the lower projection boundaries obtained in the above. Sixth, for each perceptron and each piece of the activation function, find the weight vector and both the upper and the lower projection boundaries for all the input feature vectors in this piece of the activation function via a linear programming approach. Seventh, assign the codewords to the regions generated by the perceptrons. Eighth, if any two different regions generated by the perceptrons with the same codewords correspond to different classes of objects, then increment the total number of the perceptrons. Repeat these procedures until any two different regions generated by the perceptrons with the same codewords correspond to the same classes of objects. Finally, employ these perceptrons for performing the pattern recognitions.
Security Issues, Attacks and Vulnerabilities for Virtualization in Cloud Computing and their Solutions

Cloud computing is a new technology designed to meet business requirements, reduce expenditure and solve IT management problems.Cloud computing relies on many applications such as virtualization but at the same time inherits its security problems.Virtualization architecture provides a powerful and integrated platform for system building.The use of virtualization depends on the layer of encapsulation software (Virtual machine monitor/hypervisor) that provides the operating system inputs and outputs and at the same time surrounds the operating system.The virtual machines does not depend on the state of the actual hardware as several virtual machines are installed on one set of devices.Virtualization inherits security issues inherent in the disconnection between logical and physical situations, causing security issues related to security and attacks on virtual machines.This survey presents and discusses security issues, attacks and vulnerabilities related to virtualization.Finally, range of solutions and appropriate security measures have been offered and applied to have secure virtualization.
Performance degradation assessment and VM placement policy in cloud

In virtualized servers, with live migration technique pages are copied from one physical machine to another while the virtual machine (VM) is running. The dynamic migration of virtual machines encumbers the data center which in turn reduces the performance of applications running on that particular physical machine. A considerable number of studies have been carried out in the area of performance evaluation during live VM migration. However, all the aspects related to the migration process have not been examined for the performance assessment. In this paper, we propose a novel approach to evaluate the performance during migration process in different types of coupled machine environment. It is presented here that the state of art VM migration technology requires further improvement in realizing effective migration by monitoring comprehensive performance value. We introduced the parameter, θ, to compare performance value which can be used for controlling and halting unsuccessful migration and save significant amount of time in migration operation. Our model is capable of analyzing real time scenario of cloud performance assessment targeting VM migration strategies. It also offers the possibility of further expanding to universal models for analyzing the performance variations that occurs as a result of VM migration.
Predicting Thermal Power Consumption of the Mars Express Satellite with Data Stream Mining

Orbiting Mars, the European Space Agency (ESA) operated spacecraft - Mars Express (MEX), provides extraordinary science data for the past 15 years. To continue the great contribution, MEX requires accurate power modeling, mainly to compensate for aging and battery degradation. The only unknown variable in the power budget is the power provided to the autonomous thermal subsystem, which in a challenging environment, keeps all equipment under its operating temperature. In this paper, we address the task of predicting the thermal power consumption (TPC) of MEX on all 33 thermal power lines, having available the stream of its telemetry data. Considering the problem definition, we face the task of multi-target regression, learning from data streams. To analyze such data streams, we use the incremental Structured Output Prediction tree (iSOUP-Tree) and the Adaptive Model Rules from High Speed Data Streams (AMRules) to model the power consumption. The evaluation aims to investigate the potential of the methods for learning from data streams for the task of predicting satellite power consumption and the influence of the time resolution of the measurements of thermal power consumption on the performance of the methods.
SDKSE-KGA: A Secure Dynamic Keyword Searchable Encryption Scheme Against Keyword Guessing Attacks

A number of searchable encryption schemes have been widely proposed to solve the search problem in ciphertext domain. However, most existing searchable encryption schemes are vulnerable to keyword guessing attacks. During keyword guessing attacks, with the help of the cloud, an adversary will learn what keyword a given trapdoor is searching for, which leads to the disclosure of users’ privacy information. To address this issue, we propose SDKSE-KGA: a secure dynamic keyword searchable encryption scheme which resists keyword guessing attacks. SDKSE-KGA has constant-size indexes and trapdoors and supports functionalities such as dynamic updating of keywords and files. Formal proofs show that it is Trapdoor-IND-CKA and Index-IND-CKA secure in the standard model.