Reviewerly/exHarmony huggingface dataset:
Indoor versus outdoor scene recognition for navigation of a micro aerial vehicle using spatial color gist wavelet descriptors

Abstract In the context of improved navigation for micro aerial vehicles, a new scene recognition visual descriptor, called spatial color gist wavelet descriptor (SCGWD), is proposed. SCGWD was developed by combining proposed Ohta color-GIST wavelet descriptors with census transform histogram (CENTRIST) spatial pyramid representation descriptors for categorizing indoor versus outdoor scenes. A binary and multiclass support vector machine (SVM) classifier with linear and non-linear kernels was used to classify indoor versus outdoor scenes and indoor scenes, respectively. In this paper, we have also discussed the feature extraction methodology of several, state-of-the-art visual descriptors, and four proposed visual descriptors (Ohta color-GIST descriptors, Ohta color-GIST wavelet descriptors, enhanced Ohta color histogram descriptors, and SCGWDs), in terms of experimental perspectives. The proposed enhanced Ohta color histogram descriptors, Ohta color-GIST descriptors, Ohta color-GIST wavelet descriptors, SCGWD, and state-of-the-art visual descriptors were evaluated, using the Indian Institute of Technology Madras Scene Classification Image Database two, an Indoor-Outdoor Dataset, and the Massachusetts Institute of Technology indoor scene classification dataset [(MIT)-67]. Experimental results showed that the indoor versus outdoor scene recognition algorithm, employing SVM with SCGWDs, produced the highest classification rates (CRs)—95.48% and 99.82% using radial basis function kernel (RBF) kernel and 95.29% and 99.45% using linear kernel for the IITM SCID2 and Indoor-Outdoor datasets, respectively. The lowest CRs—2.08% and 4.92%, respectively—were obtained when RBF and linear kernels were used with the MIT-67 dataset. In addition, higher CRs, precision, recall, and area under the receiver operating characteristic curve values were obtained for the proposed SCGWDs, in comparison with state-of-the-art visual descriptors.
Restarting the Information Society Based on Blockchain Technology

Social sciences literature claims that humanity is traversing a development stage generically called knowledge based informational society.It also anticipates another development horizon characterized by the explosion of artificial intelligence, corroborated with ever more spectacular development of information and communication technology.If we associate it with one of the most recent technologies dedicated mainly to information securityblockchain technology, we can certainly talk about a rebooting of informational society.Being itself a revolution, we will argue in this paper the level of influence blockchain has on business architectures, financial services, anti-plagiarism solutions, real estate transactions, economy, society, electoral processes and democracy as a whole.The ecosystem that supports all these transformations, developed and embedded in the global internet is IOT -Internet of Things.
New Learning Scenarios with Chatbots – Conversational Learning with Jix: from Digital Tutors to Serious Interactive Fiction Games

Conversational user interfaces, aka chatbots, offer new ways of interaction that can be used not only for task-led applications, but also for learning itself. Conversational learning offers a variety of new and extensive options to support individuals through the learning process and to push the boundaries of classroom based learning. This document shows three application scenarios that have been realized with time4you’s conversational learning software Jix. After having read this text, you will have a better idea of what conversational learning is, how it can be used in learning and development, and what is critical for its success.
The use of QR code on educational domain: a research and development on teaching material

The study aims at designing and developing QR code-based teaching materials for the theory and the practice session of the course Table Tennis that might be easily and readily accessed and learned in order to improve the motivation and the basic skills in playing table tennis. Therefore, the nature of the study is research and development. Within the research and development, the researcher has adopted the 4D model proposed by Thiagarajan et al. The stages in the 4D model consist of Define, Design, Develop and Disseminate. In brief, the data that have been gathered within the study are as follows: (1) in the needs analysis, 79.20% of the total students that have been surveyed state that they agree with the development of QR code-based teaching materials for the course Table Tennis; (2) in the development stage that has gone through the validation test by 3 evaluators, the learning media expert states that the product has been 75.00% valid, the material expert states that the product has been 85.20% ready and the linguistic expert states that the product has been 75.00% valid; and (3) within the experiment test, the validity has been 77.01%. Therefore, it might be concluded that the QR code-based teaching materials are already feasible and ready for implementation.
Computerized Hittite Cuneiform Sign Recognition and Knowledge-Based System Application Examples

The Hittites had lived in Anatolia more than 4000 years ago. The Hittite language is one of the oldest and may be the only one still readable and grammar rules are known member of Indo-European language family. The Hittites had a cuneiform script of their own written on soft clay pads or tablets. Tablets made durable and permanent by baking them after writing with some tools. That is why they could endure for thousands of years buried in the ground. The study of Hittite language has been made manually on the Hittite cuneiform tablets. Unfortunately, field scientists have read and translated only a relatively small number of unearthed tablets. Many more tablets are still waiting under and over ground in Anatolia for reading and translation into various languages. To read and translate the cuneiform signs, using computeraided techniques would be a significant contribution not only to Anatolian and Turkish but also to human history. In this paper, recognition of Hittite cuneiform signs by using computer based image-processing techniques is reported. Additionally, uses of data-mining applications are also included in the paper. Most importantly, the authors also demonstrated feasibility of an expert system on the Hittite cuneiform scripts
Balancing Timing and Accuracy Requirements in Human Activity Recognition Mobile Applications

Timing requirements are present in many current context-aware and ambient intelligent applications. These kinds of applications usually demand a timing response according to needs dealing with context changes and user interactions. The current work introduces an approach that combines knowledge-driven and data-driven methods to check these requirements in the area of human activity recognition. Such recognition is traditionally based on machine learning classification algorithms. Since these algorithms are highly time consuming, it is necessary to choose alternative approaches when timing requirements are tight. In this case, the main idea consists of taking advantage of semantic ontology models that allow maintaining a level of accuracy during the recognition process while achieving the required response times. The experiments performed and their results in terms of checking such timing requirements along with keeping acceptable recognition levels confirm this idea as shown in the final section of the work.
A hybrid feature-selection approach for finding the digital evidence of webapplication attacks

The most critical challenge of web attack forensic investigations is the sheer amount of data and level of complexity. Machine learning technology might be an efficient solution for web attack analysis and investigation. Consequently, machine learning applications have been applied in various areas of information security and digital forensics, and have improved over time. Moreover, feature selection is a crucial step in machine learning; in fact, selecting an optimal feature subset could enhance the accuracy and performance of the predictive model. To date, there has not been an adequate approach to select optimal features for the evidence of web attack. In this study, a hybrid approach that selects the relevant web attack features by combining the filter and wrapper methods is proposed. This approach has been validated by experimental measurements on 3 web attack datasets. The results show that our proposed approach can find the evidence with high recall, high accuracy, and low error rates. We believe that the results presented herein may help us to improve accuracy and recall of machine learning techniques; particularly, in the field of web attack investigation. The tools that use this approach may help digital forensic professionals and law enforcement in finding the evidence much more efficiently and faster.
A secure image steganography based on JND model

Minimizing distortion produced by embedding process is very important to improve the security of hidden message and maintain the high visual quality of stego images. To achieve these objectives, an effective strategy is to perform pixel selection which is well-known as a channel selection rule. In this approach, a pixel associated with the smallest image degradation is chosen to carry secret bits. From these facts, in this paper, a new secure channel selection rule for digital images in spatial domain is designed and proposed. In this new approach, the modified matrix embedding method is utilized as data hiding method because it introduces more than one embedding change to be performed. This enables us to select a suitable pixel to embed message bits with less degradation yielded in a stego-image. In pixel selection of the proposed method, a just noticeable difference value and gradient value of a considering pixel are employed together. The experimental results (which were conducted on 10,000 uncompressed images) indicate that stego images of the proposed approach achieve a higher perceptual quality and security than those of the stego-images created by the previous approaches.
Gammu and kalkun for information services and sales based on information technology

The rapid development of information technology forces everything to be done sophisticated, easy, and practical. During the information technology revolution 4.0 which is commonly called the disruptive era, the people need communication to exchange information and data. One of the communication systems that has been found today is handphone technology that can be used to communicate remotely through short message services. It can be ascertained that almost every adult having a handphone can be even more than one number, so it is a top priority for market sharing in business activities by utilizing gammu and kalkun technology. Gammu which is an open source program application was developed to build SMS gateways and or while the kalkun program application is used for web based SMS management system. This paper describes the use of gammu and kalkun in information technology to develop and manufacture and manage SMS SERVER effectively and certainly can save costs. This method is more efficient because it allows companies to easily manage their own information dissemination and sales activities and according transactions to business needs, so that the budget spent by the company can be reduced and more economical.
Traffic Control using Computer Vision

Now a days traffic density on the streets increasing around the world tremendously .It causes several problems on the day to day life of people.As we know that it is the era of speed, so that nobody wants to wait for a long time at any cost.Everybody prefers to low traffic density streets.This proposed system introduced a vehicle density-based traffic control system to avoid above issues.This problem can be resolved by controlling the traffic density on the roads.This system introduces a new method to control vehicle density by controlling the traffic lights using Image processing.Vehicle density is measured using predefined classifiers available in image processing.If the measured density is above the normal density (threshold value) it passes an indication to the microcontroller which controls the projector and thereby we can give appropriate traffic signal to display.
Differentiating the Personalized Information of the Physician-Patient Communication for the Chronic Obstructive Pulmonary Disease with General Probabilistic Vector Linguistic Terms

To accurately determine the follow-up therapeutic schedules for the chronic obstructive pulmonary disease (COPD) patients, this paper aims to develop the analysis tools for the linguistic evaluation to improve the quality of the physician-patient communication. Firstly, we define the general probabilistic vector linguistic term (GPVLT), which is effective to depict people’s judgements from different sources. Then, we establish the multigranularity linguistic space and discuss the different forms of the probabilistic vector linguistic units (PVLUs) in it. Later on, we propose the nondirectional and the directional potentials of PVLUs, which can grasp the fuzziness and the development direction of the linguistic evaluations, respectively. Last but not least, the cases about the physician-patient communication for COPD and some comparisons with the other related methods are provided to illustrate the effectiveness and practicability of the PVLUs’ potentials.
An Analysis of Communication Strategies Applied by English Study Program Students in Speaking for Presentation

Abstract This Study was a mix method research which used the combination of both qualitative and quantitative data. This study was aimed to find out the types and the dominant communication strategies used by the fourth semester students of English Study Program in University of Bengkulu. The instruments used in this research were observation checklist adapted from Dornyei (1995) and video recorder to collect data. The data were analyzed by Dornyei’s Theory of Communication Strategies. The population of this study was fourth semester students of class A of English Study Program. The samples of this study were selected with purposive sampling technique. The findings of this research were: (1) the students used all types of communication strategies, namely: a) message replacement, b) topic avoidance, c) message abandonment, d) circumlocution, e) approximation, f) word coinage, g) non-verbal signal, h) literal translation, i) foreignizing, j) code switching, k) time gaining strategy, and l) appeal for help, and 2) the dominant type of communication strategies used by the students is time gaining strategy with 47.87%. The students mostly used time gaining strategy because they already have good proficiency but they still needed times or delays to produce the utterances.
Security and Privacy Issues for E-textile Applications

In the last decade, there have been numerous challenges in the field of security and privacy since electronic textiles have grown dramatically. Electronic textile applications are becoming the target of attackers due to critical personal data collected the body their sensors. System designers must be aware of the security requirements to develop a well defended application. In e-textile applications, the issue of security is as important as privacy and the designer has to have a broad knowledge. However, studies on security and privacy are highly distributed. In this paper, the distributed security and privacy challenges are collected under a single umbrella for e-textile applications, while making it easier to enter this area for those who start new work in this field made it easier to enter this area.
Development of “Deutsch Für Touristmus” Teaching Based On Livejournal Website to Improve Student Competence in Tourism

This research is a research conducted to develop teaching materials as a means of supporting teaching and learning in the classroom in order to improve the competence and skills of students in the field of tourism in particular becoming a professional tour guide (Reiseführer / in). This teaching material is used as reference material and guidance by students in learning the Deutsch Fuer Touristmus. This study uses a development research approach using the ADDIE model conducted at the Unimed German Language Education Program. The object of this research is the development of Deutsch Für Touristmus course teaching materials. The data collection technique is used to collect data through observation, interviews and questionnaires and tests, while data analysis techniques are done using qualitative descriptive analysis, and testing of teaching materials is carried out in small groups and large groups. The results of the expert material assessment obtained values from the aspect of content worthiness of 91.67 which were categorized as very feasible, from the specs of Livejournal-based teaching materials on teaching materials included in the feasible category with a value of 80, from the aspect of language eligibility gained a value of 95.45% which was categorized very worthy. In the aspect of presentation feasibility, the value is 83.75 which is categorized as feasible and based on data from the results of the assessment of media experts, the feasibility aspect of obtaining a value of 86.25 is categorized as feasible.
Impact of the Development of ICT Infrastructure and Security on the Effectiveness of Accounting Information in the Jordanian Banking Sector

Information and communication technology ICT infrastructure is an essential foundation of the information society characterized by modernization and advance. ICT infrastructure consists of main five elements including physical resources, human resources, software, databases and networks and communication. The study aims at identifying the impact of the development of ICT infrastructure, which includes physical and human resources, software, databases and networks and communications, on the effectiveness of accounting information systems. To achieve the purposes of the study, a researcher has used a descriptive research methodology; a questionnaire has been distributed to the employees at various management and accounting positions in the bank.&#x0D; &#x0D; The study found that the developments of ICT infrastructure, consisting of physical and human resources, software, databases and networks and communications, affects extremely the effectiveness and security of accounting information systems.
Current status and future prospects of data leakage prevention technology: A brief review

Abstract With the rapid development of mobile Internet, the application environment of data information is becoming more and more complex. How to prevent the leakage of sensitive data has become an urgent practical problem to be solved in the field of information security. In this situation, data leakage protection (DLP) technology emerges, its aim is to protect sensitive data in all directions and to establish a security protection mechanism covering the whole data life cycle. Starting from the research background and basic concepts of data leakage protection, this paper reviews and summarizes the current research status and development trend of data leakage protection technology.
The Impact of the Decisions of the COBIT 5 Committee on the Effectiveness of the Internal Control Systems in the Jordanian Industrial Joint Stock Companies

The objective of this study was to identify the impact of IT governance under the COBIT5 framework on the effectiveness of internal control systems in Jordanian industrial companies. In order to achieve the objectives of this study, the descriptive and analytical methodology was used. The study society is composed of the accounting and financial departments, the number of (65) questionnaires were distributed to each company from the study sample of (43) companies, the researchers retrieved (97) questionnaires. After reviewing the retrieved questionnaires it was found that there are (4) questionnaires that are not valid for the statistical analysis. And thus the suitable number of questionnaires for analysis is (93). In order to analyze the study data and test hypotheses, the SPSS program was used in the various statistical analyzes, descriptive statistics and the internal consistency coefficient (Kronbach Alpha). The multiple linear correlation test was also used using the Pearson correlation coefficient and the variance inflation coefficient, Analysis of simple and multiple linear regression. The study reached several results, the most important of which was the existence of a strong and statistically significant relationship between the implementation of COBIT5’s decisions (planning and organization, acquisition and implementation, service provision and support, evaluation and observation). The study concluded with several recommendations, the most important of which was the increase in the degree of companies’ use of the pioneering brainstorming method in the qualification of employees within the companies and evaluating their performance according to the COBIT framework.5 In addition to the need for companies To develop future plans to activate the concept of control and auditing in the environment of the computer and the gradual transition to modern control methods, including automatic control under the COBIT5 framework.
SAFETY OF ARTIFICIAL SUPERINTELLIGENCE

The paper analyses an important problem of cyber security from human safety perspective which is usually described as data and/or computer safety itself without mentioning the human. There are numerous scientific predictions of creation of artificial superintelligence, which could arise in the near future. That is why the strong necessity for protection of such a system from causing any farm arises. This paper reviews approaches and methods already presented for solving this problem in a single article, analyses its results and provides future research directions.
Opera.DL: Deep Learning Modelling for Photovoltaic System Monitoring

In this paper we present Deep Learning (DL) modelling to forecast the behaviour and energy production of a photovoltaic (PV) system. Using deep learning models rather than following the classical way (analytical models of PV systems) presents an outstanding advantage: context-aware learning for PV systems, which is independent of the deployment and configuration parameters of the PV system, its location and environmental conditions. These deep learning models were developed within the &Oacute;pera Digital Platform using the data of the UniVer Project, which is a standard PV system that was in place for the last twenty years in the Campus of the University of Ja&eacute;n (Spain). From the obtained results, we conclude that the combination of CNN and LSTM is an encouraging model to forecast the behaviour of PV systems, even improving the results from the standard analytical model.
An alternating minimization algorithm for Factor Analysis

The problem of decomposing a given covariance matrix as the sum of a positive semidefinite matrix of given rank and a positive semi-definite diagonal matrix, is considered.We present a projection-type algorithm to address this problem.This algorithm appears to perform extremely well and is extremely fast even when the given covariance matrix has a very large dimension.The effectiveness of the algorithm is assessed through simulation studies and by applications to three real benchmark datasets that are considered.A local convergence analysis of the algorithm is also presented.
Provable Security of The Generalized ElGamal Signature Scheme

A new variant of the ElGamal signature scheme called &amp;quot;a Generalized ElGamal signature scheme&amp;quot; is proposed in 2011. The Generalized ElGamal signature scheme is a modified ElGamal signature scheme. In this paper, we propose the security proof of the Generalized ElGamal signature scheme in the random oracle model. First, we recall some security notions of signature schemes and show the security of the modified ElGamal Signature scheme.