Reviewerly/exHarmony huggingface dataset:
The role of research analyzes in increasing the efficiency of the websites of business organizations A field study in the Syrian business environment.

دور تحليلات البحث في زيادة كفاءة المواقع الإلكترونية لمنظمات الأعمال دراسة ميدانية في بيئة الأعمال السورية. سامر أحمد قاسم جودت ديوب هدف البحث إلى دراسة العلاقة بين استخدام المواقع الإلكترونية لتحليلات البحث (Google Analytics  كنموذج) وزيادة كفاءة هذه المواقع والتي تتعلق بالأبعاد الآتية: معدل الارتداد، تحويل الزوار إلى عملاء. ولتحقيق ذلك تم صياغة فرضية رئيسة يتفرع عنها فرضيتين فرعيتين، واستخدم الباحث أسلوب الاستبانة لجمع البيانات التي تم تحليلها باستخدام اختبارات إحصائية أهمها: اختبار الوسط الحسابي One- Sample T. test، واختبار الارتباط الثنائي Pearson Correlation. وقد توصل البحث إلى عدة نتائج أهمها: وجود علاقة موجبة قوية بين استخدام المواقع الإلكترونية لتحليلات البحث (Google Analytics كنموذج) وزيادة كفاءة هذه المواقع. The research aimed to examine the relationship between the use of Google Analytics as a model and the increase in efficiency of these websites, which relate to the following dimensions: bounce rate, conversion of visitors to customers. In order to achieve this, a basic hypothesis has been formulated, with two sub-hypotheses. The researcher used the questionnaire technique to collect the data, and analyzed it using statistical tests, the most important of which are the one-sample t. test and the Pearson Correlation. The researcher found many results, the most important of which was: There is a strong positive relationship between the use of websites for search analytics (Google Analytics as a model) and increasing the efficiency of these websites.
INITIAL AND BOUNDARY VALUE APPROACHES FOR THE MULTI-TARGET TRACKING PROBLEM

Untraced space debris are the principal threat to the functioningof operational satellites whose services have becomea fundamental part of our daily life. Small debrisbetween 1 and 10 cm are currently too small to be catalogedand are only detectable for a limited amount oftime when surveying the sky. The very-short arc natureof the observations makes it very difficult to perform preciseorbit determination with only one passage of the objectover the observing station. For this reason the problemof data association becomes relevant: one has to findmore observations of the same resident space object toprecisely determine its orbit. This paper focuses on multitargettracking, which is part of the data association problemand deals with the challenge of jointly estimating thenumber of observed targets and their states from sensordata. We propose a new method that builds on the admissibleregion approach and exploits differential algebrato efficiently estimate uncertainty ranges to discriminatebetween correlated and uncorrelated observations. Themulti-target tracking problem is formulated with two differentmathematical conditions: as initial-value problemand as boundary-value problem. The first one allows usto define the constraints as a six-dimensional region at asingle epoch for each observation, while the second one,instead, allows us to consider the two-by-two comparisonas a Lamberts problem thus constraining the positionvectors at the two epochs. The efficiency and success rateof the two formulations is then evaluated.
Expectation management for innovation processes within highly institutionalized environments: A framework for analyzing the organizational consequences of blockchain technology on the legitimacy of banks, and strategic approaches to manage these effects from a communication perspective

This project has researched the consequences of blockchain technology on the expected future role of banks. And furthermore, how banks can respond to these effects to improve the innovation strategy and remain their future relevance.
Age Group Classification of Facial Images Using Rank Based Edge Texture Unit (RETU) and Fuzzy Texture

We as human beings can estimate the age of a person based on his facial features but there are situations where there is a need for the computers to determine the age of a person based on the picture or photograph. Here comes the situation to teach a machine to determine the age group of a person with his picture. This is applicable in the fields like determining the age of a criminal with his picture or determining the age of a patient when he has undergone an accident and many other fields. To address this problem the paper proposed a technique of finding the age with Rank Based Edge Texture Unit (RETU). The uniqueness of this method is that it divides the age group into 7 classes i.e. the age groups are 1-10, 11-20, 21-30,31-0,41-50,51-60,&gt;60 . With this method, the results cope up to 97.16% and to slightly increase the efficiency the present paper proposes to add Fuzzy Texton features.
Quantum Computing with Radiofrequency-driven Trapped Atomic Ions

A programmable quantum computer based on trapped ions interacting via magnetic gradient induced coupling (MAGIC) is used for reinforcement learning. Quantum information encoded in hyperfine qubits is preserved with 99.9994(+6-7)% fidelity during ion transport.
Fact or Fiction? – Citation Categories and their Use Cases in Thesis Bibliographies at KTH

Background and purpose Since the first level (bachelor) thesis was introduced at KTH in the degree programs students are exposed to scientific writing at an early stage in their education. A key el ...
Robust compressed domain watermarking algorithm for video protection and authentication in noisy channels

This paper introduces a robust and noise-resilient compressed domain video watermarking technique for data authentication and copyright protection. In recent years, watermarking has emerged as an essential technique to be equipped with data transmission. The main challenge pertaining to transmission is to protect the watermark from noise introduced by the channel. Here, we address this issue by watermark replication and by using the independent pass coding (INPAC) algorithm for compression. A replicated watermark is embedded into the video by the proposed blind video watermarking algorithm and then the watermarked video is compressed by the INPAC algorithm. The compressed video is transmitted through binary symmetric channels and tested under various bit error rates to evaluate the proposed algorithm in noisy environments. The results obtained suggest that the proposed algorithm is capable of handling noise efficiently and the overhead due to key embedding is observed to be only about 3%.
Higher Education Market Segmentation Of The North-Western Federal District Of Russia

In the higher education sector, despite the existence of different market segments, market segmentation is not well established in the literature, although there is evidence of widespread use of market segmentation in terms of the marketing of programs by universities worldwide. The relevance of this study is to analyse the higher education market segmentation of the north-western federal district of Russia by conducting a survey among high school students, build a cluster analysis or segments based on the results, analyse the market of educational services. The purpose of the study is to advise higher education institutions on how to increase the number andqualityof applicants. The study is important for higher education institutions that are interested in a large flow of applicants, regardless of the age and place of residence of the applicants. By providing a better understanding of student needs, this research should allow higher education institutions to pay attention to the results obtained by the questionnaire and statistics and take some measures to increase the number and qualityof applicants, to set the task of promoting the university as a large marketing company, while providing high-quality and affordable education services that will be necessary for further life.
FUTURE TEACHERS’ ANALYTICAL ACTIVITY IN THE CONTEXT OF COMPETENCE-ORIENTED HIGHER EDUCATION

The author argues that students’ analytical activity itself is not innovative nowadays but its skillful organization within the modern context of competence-based higher education can create the best possible innovational effect. Author’s typology of problematic and analytical tasks and examples of their usage illustrate the possibility for reflexive training of future teachers under the conditions of the modern educational process.
MODERN COMPUTER FORENZICS AND FORENZIC TOOLS

Increased use of computers and devices and equipment based on them has made significant improvements in the functioning of companies and institutions, but also individual users.At the same time, risks have arisen due to their improper use or misuse.The loss or theft of data can occur in a variety of ways, from a user's error to an individual or mass attacks of malicious attackers.Some of the problems can be solved using the operating system's or application software's tools, but for specific situations, when the misdoing has already been done, it is necessary to use special, dedicated forensic tools.In case of need for judicial expertise, the task of forensic experts becomes even more complex, as with the detection of causes, the IT forensic expert must provide valid evidence that the act was done and (if possible) who made it, but also left the artifact in an unchanged state that other forensic research could be carried out either in connection with other reasons, or by another institution (or another forensic expert).Therefore, and for other reasons, it is necessary to use specialized forensic tools.In this paper, after the introductory part, which examines forensics and anti-forensics, short history and contemporary legislation, as well as the challenges associated with forensics and tools, the computer forensic tools are discussed in greater detail.The accent is placed on free forensic tools.The conclusions of the paper summarize views on forensics and forensic tools and point out the directions for future development, especially in connection with the massive use of the Internet of Things.
Summary of the 5th International Workshop on Requirements Engineering and Testing (RET 2018)

The RET (Requirements Engineering and Testing) workshop series provides a meeting point for researchers and practitioners from the two separate elds of Requirements Engineering (RE) and Testing. The goal is to improve the connection and alignment of these two areas through an exchange of ideas, challenges, practices, experiences and results. The long term aim is to build a community and a body of knowledge within the intersection of RE and Testing, i.e. RET. The 5th workshop was held in colocation with ICSE 2018 in Gothenburg, Sweden. The workshop continued in the same interactive vein as the predecessors. We introduced a new format for the presentations in which the paper authors had the opportunity to interact extensively with the audience. Each author was supported by a member of the organization committee to prepare either an extensive demo, collect more data in form of a questionnaire or perform a hands-on tutorial. We named this new format \X-ray session". In order to create an RET knowledge base, this cross-cutting area elicits contributions from both RE and Testing, and from both researchers and practitioners. A range of papers were presented from short positions papers to full research papers that cover connections between the two elds. The workshop attracted 27 participants and the positive feedback on the new format encourages us to organize the workshop the next year again.
Constrained solution of CEC 2017 with monarch butterfly optimisation

Recently, inspired by the behaviour of monarch butterfly in North America, Wang et al. proposed a new kind of swarm intelligence algorithm, called Monarch Butterfly Optimisation (MBO). Since it was proposed, it has been widely studied and applied in various engineering fields. In this paper, we apply MBO algorithm to solve CEC 2017 competition on constrained real-parameter optimisation. Also, the performance of MBO on 21 constrained CEC 2017 real-parameter optimisation problems is compared with five other state-of-the-art evolutionary algorithms. The experimental results indicate that MBO algorithm performs much better than other five evolutionary algorithms on most cases. It is strongly proven that MBO is a very promising algorithm for solving constrained engineering problems.
ACE Clients in Disadvantaged Networks

This document describes a set of recommendations to use whenimplementing ACE/OAuth 2.0 clients that are working in disadvantagednetworks. Issues such as token revocation have a much higher priorityin scenarios where Resource Servers are IoT devices, and networkconnectivity is limited and intermittent.
Human Sperm Tracking Using Improved Anti-collision Mean Shift Tracking Method

Sperm tracking is challenging in sperm motility assessment. Most of the existing methods are not able to track the object while the collision between sperms are occurred. This paper introduces an anti-collision method to detect the collision and track sperm robustly. By using the pixel weight and moment features, the new non-occluded region is extracted to perform the tracking under collision condition. Based on the results, the proposed method is able to solve the existing drawbacks and producing low Bhattacharyya distance results compared with standard mean shift tracking method. In future, this method is expected to be implement on multiple sperm tracking and classifying sperm motility categories according to the latest WHO manual.
Multi-Tuple Leakage Detection and the Dependent Signal Issue

Leakage detection is a common tool to quickly assess the security of a cryptographic implementation against side-channel attacks. The Test Vector Leakage Assessment (TVLA) methodology using Welch’s t-test, proposed by Cryptography Research, is currently the most popular example of such tools, thanks to its simplicity and good detection speed compared to attack-based evaluations. However, as any statistical test, it is based on certain assumptions about the processed samples and its detection performances strongly depend on parameters like the measurement’s Signal-to-Noise Ratio (SNR), their degree of dependency, and their density, i.e., the ratio between the amount of informative and non-informative points in the traces. In this paper, we argue that the correct interpretation of leakage detection results requires knowledge of these parameters which are a priori unknown to the evaluator, and, therefore, poses a non-trivial challenge to evaluators (especially if restricted to only one test). For this purpose, we first explore the concept of multi-tuple detection, which is able to exploit differences between multiple informative points of a trace more effectively than tests relying on the minimum p-value of concurrent univariate tests. To this end, we map the common Hotelling’s T2-test to the leakage detection setting and, further, propose a specialized instantiation of it which trades computational overheads for a dependency assumption. Our experiments show that there is not one test that is the optimal choice for every leakage scenario. Second, we highlight the importance of the assumption that the samples at each point in time are independent, which is frequently considered in leakage detection, e.g., with Welch’s t-test. Using simulated and practical experiments, we show that (i) this assumption is often violated in practice, and (ii) deviations from it can affect the detection performances, making the correct interpretation of the results more difficult. Finally, we consolidate our findings by providing guidelines on how to use a combination of established and newly-proposed leakage detection tools to infer the measurements parameters. This enables a better interpretation of the tests’ results than the current state-of-the-art (yet still relying on heuristics for the most challenging evaluation scenarios).
Automatic Image Enhancement by Noise Avoidance using Fuzzy and Histogram techniques

International Journal of Computer Sciences and Engineering (A UGC Approved and indexed with DOI, ICI and Approved, DPI Digital Library) is one of the leading and growing open access, peer-reviewed, monthly, and scientific research journal for scientists, engineers, research scholars, and academicians, which gains a foothold in Asia and opens to the world, aims to publish original, theoretical and practical advances in Computer Science,Information Technology, Engineering (Software, Mechanical, Civil, Electronics & Electrical), and all interdisciplinary streams of Computing Sciences. It intends to disseminate original, scientific, theoretical or applied research in the field of Computer Sciences and allied fields. It provides a platform for publishing results and research with a strong empirical component. It aims to bridge the significant gap between research and practice by promoting the publication of original, novel, industry-relevant research.
ARM based Data Acquisition System for Physics Experiments

International Journal of Computer Sciences and Engineering (A UGC Approved and indexed with DOI, ICI and Approved, DPI Digital Library) is one of the leading and growing open access, peer-reviewed, monthly, and scientific research journal for scientists, engineers, research scholars, and academicians, which gains a foothold in Asia and opens to the world, aims to publish original, theoretical and practical advances in Computer Science,Information Technology, Engineering (Software, Mechanical, Civil, Electronics & Electrical), and all interdisciplinary streams of Computing Sciences. It intends to disseminate original, scientific, theoretical or applied research in the field of Computer Sciences and allied fields. It provides a platform for publishing results and research with a strong empirical component. It aims to bridge the significant gap between research and practice by promoting the publication of original, novel, industry-relevant research.
IMPROVING STUDENTS’ LISTENING SKILL THROUGH LISTEN ENGLISH FULL AUDIO APPLICATION

TOEFL stands for Test of English as a foreign Language. It is needed by students who want to continue their study to a higher level or as a requirement to get a certain job in the future. One type of test contained in the TOEFL test is listening. Unfortunately, most of the students of STIE Muhammadiyah Palopo have low ability in listening skill due to a lack of intensity in practicing listening skill. Therefore, the researchers introduced an online application that can be used as a supporting medium for students to improve their listening skills, namely Listen English Full Audio Application. This application can be downloaded for free via smartphone or android. So, they can use this application wherever and whenever they want. The research aims to determine whether Listen English Full Audio Application is a good supporting media in improving student listening skills. The method used is Quan-qual Method with quasi-experimental research, Regression discontinuity design. The population of the research was the first year students of STIE Muhammadiyah Palopo 2017/2018 academic year with a sample of 60 students as randomly chosen representatives. Based on the research result, Listen English Full Audio Application improves the students' listening skills so that it can be concluded this application can be recommended as a good supporting media in improving students’ listening skills.Keywords: TOEFL, Listening skill, online learning media, Listen English Full Audio Application.
A Hardware-Efficient Vector Quantizer Based on Self-Organizing Map for High-Speed Image Compression. Appl. Sci. 2017, 7, 1106

We, the authors, wish to make the following corrections to our published paper [...]
The Indication of Network Chat Text Security Based on the Analysis of Modal Particles Emotion

Based on the theory of emotional semantic analysis and modal particles analysis, marked the emotional sentiment, established the database of modal particles emotion, and combined with the analysis of traditional text emotion, this paper analyzes the emotional sentiment and intensity of network chat text. Through the machine learning and natural language computing technology in big data technology, using multi-mode learning method, the chat text statement is trained and learnt, the emotion is automatically calculated and predicted, and the accuracy of text sentiment analysis is increased. This paper aim to find emotional security risks in time. Thus the emotional security risks of Internet chat to take effective security warning.
Confidential Data Sharing in Cloud Computing Using RS-IBE

Cloud computing provides a flexible and convenient way for data sharing, which brings various benefits forboth the society and individuals. But there exists a natural resistance for users to directly outsource the shared data to the cloud server since the data often contain valuable information. Thus, it is necessary to place cryptographically enhanced access control on the shared data. Identity-based encryption is a promising cryptographical primitive to build a practical data sharing system. However, access control is not static. That is, when some user’s authorization is expired, there should be a mechanism that can remove him/her from the system. Consequently, the revoked user cannot access both the previously and subsequently shared data. To this end, we propose a notion called revocable-storage identity-based encryption (RS-IBE), which can provide the forward/backward security of cipher text by introducing the functionalities of user revocation and cipher text update simultaneously.
The impact of blockchain and distributed ledger technology on financial services

Blockchain and distributed ledger are terms that were born only in the last decade. Their appearance and growing popularity are associated primarily with the rapid development of Bitcoin and other cryptocurrencies. However, the capabilities of blockchain technology based on distributed ledger far outweigh the cryptocurrencies. The new technology is expected to trigger revolutionary changes in the financial services sector. The comparative profile of potential possibilities of and limitations on the application of blockchain in the financial sphere frames the nature of expected changes. Nevertheless, there are still a number of unresolved issues of technological, legal and ethical nature ahead of the mass application of blockchain technology. The formulated conclusions and recommendations provide guidance for successfully overcoming objective barriers to the application of blockchain and summarizing the prerequisites for a possible evolutionary leap in the development of the financial services industry.
Holistically addressing uncertainty in group decision-making: the case of a

This paper presents a methodology that holistically captures the uncertainty of judgment in 'quasi-collaborative' group decision-making in the context of the analytic hierarchy/network process. The proposed method is motivated mainly by the two uncertainty approaches that seemingly diverge in literature: the simulation approach and the fuzzy set theory (FST) approach. In the proposed method, FST is used to handle the judgmental uncertainty of individual decision-maker while simulation addresses randomness and uncertainty when individual judgments are aggregated as a group decision. An illustrative problem is presented in this paper along with a numerical experiment that attempts to compare the efficacy of the proposed methodology with existing methods. Results show that the method is more capable of handling uncertain group decisions through simulation runs and it can perform sensitivity analysis which is essential in testing robustness of judgment results. Finally, the proposed method can identify non-expert member of the group.