Reviewerly/exHarmony huggingface dataset:
Socio-realistic optimal path planning for indoor realtime autonomous mobile robot navigation

An autonomous mobile robotic navigation system consists of many modules which work co-ordinately and concurrently. The most important module is the realistic and optimal path planning algorithm (ROPPA) through which the overall system improves it performance. Many algorithms have been developed and deployed for data structures, and computer games are partially modified for use in real time robotic environments. The major drawback of such modified algorithms is they are designed for unconstrained artificial environments where the robot's collision with a static obstacle or moving object is partially allowed. Many researchers successfully developed the path planning algorithm through improving the basic A* algorithm, such as D* lite, theta*, any angle path planning, and jump point search. In real environments one should seek the optimal path along with maintaining uniform safer distance with the objects or in-path obstacles. This paper describes the implementation and evaluation of a new realistic optimal path planning algorithm which follows the safer distance rule through exploring minimum workspace arena. Along with less memory overhead, the algorithm explores shortest final path with fewer sub-paths if they exist. The experimentation with different map sizes and obstacle densities clearly defines improvement in ROPPA over the other path planning methods.
The Effect of Environment Supports on Individual Creativity in Palestinian SMEs: Assessing the Mediating Role of General Self- Efficacy

This paper aims to understand the mediating role of general self-efficacy in the effect of environment supports (work and none work environments) on individual creativity in Palestinian SMEs. Respondents for this paper are 247 of employees and owners in small and medium enterprises (SMEs) in North West Bank- Palestine. The findings show that work and non-work environments are significantly directly influenced on GSE, while, not directly influenced individual creativity. In addition, the results show that general self-efficacy plays a significant mediating role in enhancing the effect of environment supports on individual creativity in the Palestinian SMEs.
Survey on Object Detection Algorithms using Neural Networks

In day to day life, we encounter several different types of things like people, things, animals etc., but it becomes difficult for a system to identify them when processing them in images. For such identification purpose, we use Object Detection algorithms. These algorithms can be used for various uses like defence systems, security management units, and other fields like healthcare. In the following study, various Object Detection algorithms such as facial recognition, facial feature detection like skin, colour etc., and target detection have been performed and used to detect various types of objects with increased accuracy and efficiently in the fields like surveillance. Further, different difficulties and uses of Object Detection strategies are expounded. Pictures have numerous objects in complex foundation, how to distinguish these objects, the principle objects in that and comprehend the connection between them two that is, the primary objects and different objects are the significant focal point of this study. There are numerous ways which can be utilized for object detection and acknowledgment; however a large portion of them can’t check the primary objects of the picture. In the accompanying study, we are playing out a review on the different picture capturing strategies for object detection.
Regulating Initial Coin Offerings? A Taxonomy of Crypto-Assets

In 2017, the price of bitcoin skyrocketed and many investors wanted to participate in the crypto-hype. Hence, a lot of companies took the new opportunity to obtain financing by issuing crypto-assets in initial coin offerings instead of going the heavily regulated way through venture capital or initial public offerings. Besides valuable projects, many projects fail or turn out to be a scam. Retail investors are not aware of the potentially high risks of ICO investments. Regulators of most jurisdictions have not yet proposed new rules, but monitor the new phenomenon to gain insights. Many regulators stick to regulation in place and pursue case-by-case assessments in order to apply existing rules. This paper develops a taxonomy of crypto-assets based on academic literature and empirical data. The taxonomy covers embodied investor rights, security-like characteristics, and crypto-specific features being able to support regulators with their case-by-case assessment. The taxonomy helps regulators to classify crypto-assets allowing them to decide which characteristics are subject to regulation and whether new rules are necessary to ensure market integrity and investor protection. Further, the taxonomy is also designed to support issuers with the design of new crypto-assets helping them to understand which characteristics might be subject to regulation.
Segmenting Characters from Malayalam Handwritten Documents

Construction of an Optical Character Recognition (OCR) model for handwritten documents poses many challenges, the most prominent of them being dataset collection, character segmentation and classification. This paper focuses on the segmentation part, and presents a novel approach to segment individual characters from Malayalam handwritten documents. It is a three-stage approach where morphological operations, contour analysis, and bounding box detection are used to extract individual lines from the document, words from each line, and then characters from each word. An additional masking method is performed to tackle the overlapping of bounding boxes due to skewed lines and the presence of diacritics. The segmented characters can either be used to create datasets or fed to OCR models.
Revisione d’autore o intervento ideologico?

The article analyzes the variants registered by the two manuscripts which transmit De expeditione in Turcos by Biondo Flavio, i.e. Vatican City, BAV, Vat. Lat. 1946 (= V) and Genoa, UL, 322 (= G). The conclusion is that the variants of V, all explained by ideological motivations, should not be attributed to a moving archetype within the author's workshop, but to precise interventions by a person close to the curia. Furthermore, the hypothesis is advanced that this person may be Iacopo Ammannati Piccolomini, who was secretary of Cardinal Domenico Capranica and participated in the two missions of the Cardinal to Naples ( July 1453) and Genoa (October 1453).
Temporal and Frequency Characteristics of Turkish Vowels in Laryngectomized Speakers: Preliminary Study

Objective: In the alaryngeal speech acoustics, formant frequencies and durations of vowels are two most fundamental parameters .However, it is not clear if the vocal tract transmission properties and temporal characteristics of vowels vary related to alaryngeal speech type.The main purpose of this study is to compare the formant frequency and duration characteristics of Turkish vowels between the esophageal, tracheoesophageal, and laryngeal speakers.Methods: Formant frequency and duration values of 8 Turkish vowels have been defined and these values were compared between the esophageal, tracheoesophageal, laryngeal speakers.Detection of a formant was based on Linear Predictive Coding and Fast Fourier Transform.Results: Except the vowels /y/ and /i/; F1 and F2 frequency values of alaryngeal speakers were higher than laryngeal speakers both in the initial and final position.Alaryngeal groups' vowel space areas have been diminished.The vowels in the final position had longer durations comparing to their initial position in all groups. Conclusion:The results of this study generally supported the shorter vocal tract and frontedhigher tongue position in Turkish alaryngeal speakers.The minor differences between other studies are thought to arise from the differences in consonantal context and possible coarticulatory effects.Acoustic findings obtained in the present study, indicated that transesophageal speech is more similar to laryngeal speech as compared to esophageal speech.However, further studies including higher number of participants are needed to verify the findings of this study.
The use of virtual reality technology in the studying of physics

With the development of information technology, other industries are also developing, completely new and unfamiliar ways of communication, creation, and learning are becoming popular. Thus, the modern world makes new demands on the learning process. However, despite the development of distance and inclusive education, the natural sciences due to their peculiarities lag behind other fields of science. This is due to the fact that in order to effectively acquire skills in working with equipment and the ability to analyze experimental data, physics, chemistry, and other exact sciences require executing laboratory works. However, this requires specially equipped laboratories that are not always staffed in educational institutions. Then, new technologies, such as computer graphics, augmented reality, computational dynamics and others come to the rescue. This article discusses the use of modern technologies in the field of education. The analysis of the introduction of various innovative developments with the virtual reality into some spheres of modern life was also conducted. The work introduces the advantages and possibilities of using educational resources based on the virtual reality in education and, in particular, for studying physics. The authors present the software that allows studying physics with the help of virtual reality. Such approach made the interaction with the application more interesting and memorable, and learning more effective. As development platform the cross platform Unity 3D environment was chosen. The main functionality was written in C#. Graphic models were created using Substance Painter. Additionally, in the article the development process of the application was considered along with its functionality and user interface. The work done allowed the authors to identify the advantages of using new technologies in the study of physics and showed that they open new prospects for their wide application at different stages of education in educational institutions of various levels. This approach in addition to the advantages mentioned above makes the learning process safe, interesting and more accessible. As a result, not only software was developed, but new experience was gained, which will be used for further development and research.
Diritti e ricerca biomedica: una proposta verso nuove consonanze

The article presents the main legal challenges emerging from the profound changes that the field of biomedical research underwent in recent years. The shift of focus on biological samples and data, the impact of new technologies producing huge amount of data, difficult to be interpreted and processed, the global dimension of research activities and the consequent importance of sharing samples and data and to make them widely accessible represent a fundamental test for the law. The paper critically describes the normative framework designed by the GDPR and the Italian legislation to balance the need to protect participants and the importance of fostering biomedical research. The proposed strategy, giving-up of the oppositional point of view and promoting consonances, aims at relaxing the specificity of consent while integrating it with specific requirements to encourage the concept of a responsible research.
FeW: A Lightweight Block Cipher

In this paper, we propose a new lightweight block cipher \textit{FeW} which encrypts plaintext in the blocks of 64-bit using 80/128 bits key to produce 64-bit ciphertext. We also propose a new structure namely \emph{Feistel-M structure} by admixture of Feistel and 4-branch  generalised Feistel structures. This new structure significantly contributes to enhance the security margins of our design against the basic cryptanalytic attacks like differential, linear and impossible differential attacks. Security analysis signifies that \emph{FeW} has enough security margins against these cryptanalytic attacks and it can resist any key recovery attack beyond 17 rounds with the complexity better than $ 2^{64} $.
Peningkatan Kemampuan Membaca Permulaan Melalui Permainan Huruf dan Kata dengan Menggunakan Gaya Belajar Visual, Auditori dan Kinestetik

The purpose of this research was to describe the implementation process play letter and word and to understand improving  early reading ability of children in group B1  through play letter and word. The study was conducted on group B Kindergarten with of fiftten children. This study used action research methods by Kemmis and Taggart which consist of 4 stages (plan, action, observation and reflection). This study consisted of two cycles, each cycles consisting of 8 sessions. Data collecting techniques used observation, field notes and documentation. Data analysis using quantitative and qualitative data. Quantitative data analysis with descriptive statistics that compare the result obtained from the first cycle and the second cycle. Analysis of qualitative data by analizing data from the observation, fields notes and documentation during the study to the steps of data reduction, data display and data verification. The result of this study showed that there was the improving early reading ability through play letter and word using learning style visual, auditory and kinesthetic with score in pre cycle 34,8 had improvement to 51,4 and become 63,5 in cycle II and excellent growing category Keywords:  early reading ability, playing letter and word, learning style  visual, auditory  and   kinesthetic DOI: http://dx.doi.org/10.23960/jiip.v1i1.18007
The Audio Auditor: Participant-Level Membership Inference in Internet of Things Voice Services

Voice interfaces and assistants implemented by various services have become increasingly sophisticated, powered by increased availability of data. However, users' audio data needs to be guarded while enforcing data-protection regulations, such as the GDPR law and the COPPA law. To check the unauthorized use of audio data, we propose an audio auditor for users to audit speech recognition models. Specifically, users can check whether their audio recordings were used as a member of the model's training dataset or not. In this paper, we focus our work on a DNN-HMM-based automatic speech recognition model over the TIMIT audio data. As a proof-of-concept, the success rate of participant-level membership inference can reach up to 90\% with eight audio samples per user, resulting in an audio auditor.
Knowledge Acquisition and Knowledge Sharing as Determines of Organizational Competitive Advantage

This study aims to examine the relationship between knowledge management (knowledge sharing and knowledge acquisition) and competitive advantage constructs (quality and cost) in the industrial sector in Sudan, the study employed the quantitative methods and deduction approach via convenience sampling and self-administrative survey questionnaires were sent to 207 managers of industrial firms in Sudan response rate of 70%. Data from the study were collected analyzed using descriptive statistics, person correlation and path analysis through using (SPSS V. 23), (AMOS V. 25) in Structural Equation Modeling demonstrate some empirical support to the model of this study. The Results of this study indicate that a positive relationship between knowledge management and competitive advantage in the Sudanese industrial firms. Knowledge sharing is a significant effect on competitive advantage (cost and quality), while, knowledge acquisition is not significant to competitive advantage quality. This study focuses only on the industrial sector. Also, the data were only collected from single respondents in an organization.
Cars and Contemporary Communication| Disability, Connected Cars, and Communication

In this article, I take up a highly visible theme in discourses, experimentation, and manufacture of connected cars and autonomous vehicles: disability. I analyze the leading ways in which this new kind of technology is imagined for particular users with disability, as in the highly publicized case of Google’s pilot driverless vehicle promoted as a boon for blind people and those with vision impairments. Then, I try to stand this kind of framing of connected-cars-as-good-for-disability on its head, and discuss the implications for questions of emerging social technology, equality, diversity, and design.  Reflecting on this analysis, I look at what disability tells us about connected cars, and, indeed, how we might rethink communication and technology.
Implementing Documents on iOS

There are three main issues you have to consider when implementing documents on iOS:
Smart Healthcare Forgery Detection Using Deep Learning

The invention of new communication technologies, new features and facilities are provided in a smart healthcare framework. The features and facilities aim to provide a easy-to-use, accurate, and real-time healthcare service to clients. As health is a sensitive issue, it should be taken care of with utmost security and caution. In this way, the system works seamlessly and in real time. The bandwidth requirement of the proposed system is also reasonable. A new image forgery detection method based on deep learning technique, which utilizes a convolutional neural network (CNN). A image forgery detection method find the fraud medical images using the Convolutional neural network.The invention of new communication technologies, new features and facilities are provided in a smart healthcare framework. The features and facilities aim to provide a easy-to-use, accurate, and real-time healthcare service to clients. As health is a sensitive issue, it should be taken care of with utmost security and caution. In this way, the system works seamlessly and in real time. The bandwidth requirement of the proposed system is also reasonable. A new image forgery detection method based on deep learning technique, which utilizes a convolutional neural network (CNN). A image forgery detection method find the fraud medical images using the Convolutional neural network.
Dataset of focus prosody in Japanese phone numbers

The data in this article present position-dependent variation of focus prosody within phone number strings in Tokyo Japanese. Four acoustic parameters (duration, mean intensity, maximum pitch, and time-normalized pitch contours) are reported to illustrate focus prosody of Japanese phone numbers, separately for broad focus and corrective focus. The data also include four attached files: 1) time-normalized pitch contours for all speakers (Appendix A), 2) aggregated data of duration, mean intensity, and maximum pitch for on-focus effects (Appendix B), 3) a Python script automatically generating target stimuli (Appendix C), and 4) target stimuli used for each focus type (Appendix D). The data set can be used for several research projects including speech recognition, focus study, speaker variation in marking prosodic focus, and prosody modeling in Tokyo Japanese. Detailed discussion of data interpretation can be found in the article entitled “Prosodic focus of telephone numbers in Tokyo Japanese” (Lee et al.).
Specifics of content of edication in elementary schools of Germany

The article defines the components of elementary education in Germany considering the specifics of training in modern German school. The challenge for changes in Ukrainian education is the fact that today, unfortunately, the elementary school has become inefficient in comparison with European primary education. To keep up with times, it is necessary to change approaches and the format of training. All this is rises our interest for achievements of foreign scholars. The research is devoted to the problems of implementation of content of education in elementary schools in Germany, where the main purpose of training is the development of students’ communication skills. Thus, we see that in the process of studying the peculiarities of the content of elementary school education, an important role is played by increase in the educational time and redistribution of time for learning individual subjects and topics, as well as the broadening the curricula through new material, developing differentiation of tasks, taking into account the emotional and social stability of a child, providing comprehensive development of the personality, focusing on the development of thinking and cognitive abilities of students during the modernization of curricula, programs and textbooks, expanding the scope of the optional subjects. It is obvious that many problems of specific elementary school content of education also require further resolution in Germany. However, the experience of German primary education is of increasing interest in Europe. As for Ukraine, free access to information will allow domestic scientists to carry out an effective comparative analysis, identify those forms and methods that are appropriate to use in the national school environment. Practical value of the work is determined by the fact that the worked out material, the statements and conclusions will facilitate sharing the pedagogical experience. They can be used for writing textbooks and methodic guidances, in the practical activity of elementary school teachers. Key words: content of education, curriculum, foreign language, elementary school, Germany.
Study on Algorithms and Path-Optimization for USV’s Obstacle Avoidance

An unmanned surface vessel indispensable tasks to avoid obstacles when it moves in real environment. In order to solve this problem, it has been classified stationary obstacles and moving obstacles as well as offering many different algorithms each type. Because the structure of the unmanned surface vessel is indispensable in two main components: Guidance and Control, in which Guidance will receive waypoints for creating the desired trajectory and then combine the current location of ship to calculate and provide input data for Control to drive the ship following the desired trajectory. Therefore an obstacle avoidance algorithms are integrated in the block Guidance to provide the most suitable input data for the controller is essential. In addition, some cases because the priority of avoiding the collision lead to the path will be long and inefficient. This paper will use the Line of Sight (LOS) algorithm with the lookahead distance to design the Guidance as well as propose an obstacle avoidance algorithm to integrate with it. Besides proposing a method to optimize the way while avoiding obstacles. The results as well as the effectiveness of the proposed method will be shown in the MATLAB/SIMULINK simulation.