Reviewerly/exHarmony huggingface dataset:
A Randomized Hiding Technique in Skin tone based Images

Skin tone based steganography refers to a steganography technique where the secret information is inserted in the skin tone area of images.Skin tone area of an image provides an excellent place for data hiding.In traditional image steganography, a user can insert covert information anywhere in a picture, while in biometric-based steganography skin tone area is chosen as the biometric highlight.To apply skin tone based steganography we select the skin tone zone in digital images that it gives an incredible zone to concealing data.In this work, a DWT based image steganography technique is suggested that conceals information in the discrete wavelet coefficients of blocks that are selected arbitrarily.In the proposed approach, two ideas are incorporated.Initially, the skin region is partitioned into blocks and secret information is embedded on arbitrarily picked blocks to oppose steganalysis.Second, the inserting limit is expanded by concealing several secret images and text in various blocks at the same time.The proposed approach is tested by placing secret images and text within twenty different skin tone cover images.The experimental findings indicate that in terms of imperceptibility and quality measures, the system developed offers remarkable improvements to prevailing works.
FPGA Library Based Design of a Hardware Model for Convolutional Neural Network with Automated Weight Compression using K-Means Clustering

In this paper, a design of a synthesizable hardware model for a Convolutional Neural Network (CNN) is presented.The hardware model is capable of self-training i.e. without the use of any external processors.It is trained to recognize four numerical digit images.Another hardware model is also designed for the K-means clustering algorithm.This second hardware model is used to for compressing the weights of the CNN through quantization.Weight compression is carried out through weight sharing.With weight sharing, the system is able to save component usage.The two hardware models designed are then subsequently integrated to automate the compression of the CNN weights after the CNN completes its training.The entire design is based on fixed point arithmetic operation using VHDL as design entry tool and XILINX Virtex 5 FPGA as the target library for synthesis.After completing the design, it is evaluated in terms of hardware consumption with respect to rate of compression.When evaluating the recognition performance ability of the hardware model, digit images experimentation results have shown that the weight compression can reach as high as 60% without any negative effect on the performance of the CNN.Based on data gathered, the compression with the least hardware consumption occurs at 80 %.For the various digits trained, the CNN outputs after the training, range from 89% to 97%.
Efficient and Secure Model for Detect Malware and Fake Ranking Apps

Nowadays most of the people using smart phones for daily activities so android apps in smart phones plays major role in the market to perform various activities. Previous works describes the information about on app executable and permission analysis. Users mostly will download apps from Google play based on ranking and review. Malware is any piece of code that is meant to cause damage to your system or network. Malware is completely different from common programs during a approach that they most of them have the flexibility to unfold itself within the network, it will damage entire system performance and network. Another issue is search fraud due to these users will change their opinions on app .In this paper we implement novel system called Fairplay to uncover malware and search rank fraud by fraudsters, it will analyze longitudinal app data. FairPlay's PCF algorithmic rule analyzes review process and relations between various users posted reviews from dataset. We implementFairPlay in this article to detect Google Play fraud and malware.In this supervised learning techniques used to provide relational and behavioral and linguistic features, Novel system provides 95% accuracy in datasets of malware, fraudulent and accurate apps.We analyze and show experimental results that 75% of the found malware apps employ with fake rank fraud.
Dust concentration estimation of underground working face based on dark channel prior

Abstract In this paper, combined with video monitoring system for each working face under the mine, distance measurement system under the mine and Matlab software, real-time monitoring, analysis and calculation of dust concentration under the mine are carried out. Firstly, the image of dust degradation was obtained according to the video monitoring system in the underground dust environment, and the transmission chart with block effect was obtained. Secondly, the obtained transmission figure is processed by Matlab to obtain the corresponding transmission of each pixel in the dust image. Then according to the dust dispersion measurement system to calculate the extinction coefficient, according to the distance measurement system measured the length of the radiation channel distance;Finally, according to the established dust image degradation model, the dust concentration change process and dust mass concentration at each moment and point can be obtained from the extinction coefficient, transmission rate and length of radiation channel. The research method in this paper is rapid and can be used for real-time and online continuous detection, so as to obtain the dust mass concentration and dust distribution in the dust environment.
EXAMINATION OF WORKS OF ART IN THE CHRONOTOP OF CULTURE: ASPECTS OF PROFESSIONAL TRAINING OF SPECIALISTS

The purpose of the study is to highlight the essence of the process of preparation of art experts initiated in the independent Ukraine. Research methods. The choice of research strategies in disclosing the purpose of the study determined the application of system and complex approaches, as well as historical-chronological and comparative methods. The scientific novelty of the obtained results consists in the formulation and development of an actual topic, which in scientific terms did not receive comprehensive and objective coverage and is first investigated. The results of comprehension of the essence of the process of preparation of expert art experts can serve as an important component in the study of contemporary issues of artistic education. Conclusions. The development of the socio-cultural space of Ukraine has revealed the objective need to expand the range of work aimed at preserving and protecting cultural heritage. The distinction in this sector of the culture of the problem of training specialists with the expertise of experts is a natural phenomenon. It was emphasized that such training is being conducted at the National Academy of Culture and Arts Management.
FEELINGS OF FEAR FOR DECISION MAKING AS A FACTOR IN FORMING A RESPONSIBLE ATTITUDE TO THE FUTURE PROFESSION IN STUDENTS OF PEDAGOGICAL UNIVERSITIES

Based on the analysis of empirical material, the article describes the feeling of fear for decision making as an obstacle and as a factor in forming a responsible attitude towards the future profession among students of pedagogical universities. Causes of feeling of fear for decision making in the pedagogical situation (in the process of execution of the assignment/task) are lack of experience in a similar situation, stereotypical perception of the pedagogical situation, setting the ease of exit from the situation. The consequences of feeling fear for decision making in pedagogical situation are determined. It is stated that fear arises not from action, but because of the risk of obtaining the unknown result of the assignment/task, which can be assessed as unsuccessful. The three stages of fear of the assignment/task as an obstacle to the formation of a responsible attitude to the future profession in the students of pedagogical universities are distinguished. It is substantiated that, acting as a judgment (I will cope / I will not cope), the fear of fulfilling the assignment/task of the students of pedagogical universities indicates the criticality, the combination of intellectually volitional efforts, the coordination of the final results of the action with the personality characteristic. The stages of education for eliminating the feeling of fear before completing a task/assignment are identified. The tasks of the teachers are formulated in order to secure the feeling of fear for decision making in the pedagogical situation: explanatory work on the stages of realization of the goal and obtaining the expected final results; an explanation of the value of experience gained in the professional development of a student of a pedagogical university; differentiation of educational tasks and assignments of organizational and educational character depending on the readiness of a particular student of a pedagogical university to fulfill them; assistance in delineating facts from contrived interpretations and denials.
A comparative study of various text mining approaches for analysis of drug reaction using social media post

Adverse drug reactions can be referred as unwanted, uncomfortable or a harmful effect that any drug may cause.Adverse Drug Reactions are major problems as they may cause serious health related issues.So, identification of adverse effects of any drug is very important.Adverse effects of any drug are available from pharmaceutical companies when drug is launched in market.Still all adverse reactions cannot be identified during these clinical trials as it is applied on limited volunteered people.Some regulatory agencies monitor adverse reactions through surveys of medical practitioners.Currently large numbers of patients share their experiences on social media.These experiences of patients can be very helpful to detect the adverse effects of various drugs.We have done comparative study of various text mining approaches on social media posts to understand and obtain adverse drug reaction.Here, our main aim is to come up with a comparison of various text mining methodologies that can enable us to detect unreported adverse drug reactions using social media posts.
Improved Forward-Backward Propagation to Generate Adversarial Examples

Deep neural networks (DNNs) have been widely applied in many areas. However, they are quite vulnerable to well-designed perturbations. Most recent methods of generating adversarial examples fail to limit the perturbations while keeping good transferability. In this work, we propose a new method to address these problems. We combine local attack and gradient descent optimization method to generate adversarial examples. Specifically, in forward propagation, we select sensitive pixels and add perturbations to them. In backward propagation, we propose a novel loss function to reduce the difference between adversarial examples and benign images. Extensive experiments demonstrate that our method achieves strong attack ability with lower distortion.
The Path of Deepening Reader Service in College Libraries from the Perspective of Internet

Aiming at the service objects of University libraries, this paper makes a thorough study of the readers' demand psychology and characteristics under the Internet environment, and explores how university libraries further deepen the work of reader service.
Enabling and Limiting factors in eXtreme Programming (XP) with Evaluation Framework

As agile software development methodologies are used in many domains and come with different shapes and sizes, it is one of the complex human endeavors. Extreme Programming (XP) is one of the well-known agile software development methodologies and is driven by a set of values including simplicity, communication, feedback and courage, but lacks the mechanism to measure these values demanding the evaluation framework to make it measurable and attainable. The main aim of this study is to build the software process improvement model that can be used for evaluating XP values and practices. The proposed XP evaluation framework in this study is XP focused and evaluates the XP project, product and practices. The XP evaluation framework is a collection of some new and validated metrics used for evaluating XP projects, XP practices, XP products and some additional factors concerned with XP. The evaluation framework for extreme programming is basically based on the assessment and evaluation of various project characteristics, extreme programming characteristics, product characteristics and other additional characteristics. The metrics used for assessments and evaluations of XP are designed to be simple, precise, understandable, economical, timely, consistent, accountable, unambiguous, suitable and reliable.
Thinking of Teaching Reform about "Metal Material Science" Based on Ability Cultivation Training

In order to solve the problem of the trouble in the study about "Metal Material Science" for the students and that of some difficulties in the course teaching for the teachers, the paper puts forward a variety of teaching methods based on the ability cultivation training innovatively by analyzing objective reasons for existence.Many reform ways are introduced including the interactive teaching mothods and mixed teaching methods and the enthusiasm of the students for learning is mobilized.On the other hand, the teaching reform is fully combined with the practice teaching.The results show that the implementation of a variety of measures must lead to a new step in the teaching of the "Metal Material Science".
Grammatical Errors of Analysis in Writing E-Mail Committed by Reservation Staff at PT. Destination Asia Bali 2015/2016

This study aimed at (i) To analyze the compatibility of the emails written by the staffs of PT. Destination Asia Tour &amp; Travel with the format of formal email, (2) to analyze the types of errors committed by the reservation staff at PT. Destination Asia Tour &amp; Travel, (3) to find out the sources of errors committed by the reservation staff at PT. Destination Asia Tour &amp; Travel. This study was designed as a descriptive qualitative study. The data were collected by using research instruments such as analytical error analysis rubric, interview and observation sheet. The collected data were analyzed descriptively. From the data analysis it was found that (i) most of the emails have been written formally, almost all of the staff violated the element of formal email regarding to the non-contraction use in the email; (ii) all of the staff committed 16 (19%) errors of omission, 12 (14%) errors of addition, 47 (55%) errors of malformation and 10 (12%) errors of disordering; and (iii) the errors made by the staffs are caused by some factors namely staff’s incomplete knowledge, absence of knowledge, forgetting, language interference, over generalization and false concept hypothesized. Based on the conclusion of this study, it was suggested to the travel agent to provide their staffs an intensive course especially to improve their competence in writing formal email.
Revocable Identity Based Signature Scheme with Outsourced Cloud Revocation Authority

In last few years, many aspects of Identity based Cryptosystems (IBC) were studied because it has a critical feature of avoiding high overheads linked with management of public key certificate.But the one issue associated with it how to revoke defiant user remains open.Many schemes were proposed to overcome this problem.One move towards revocation in identity based settings was taken by introducing the key generation centre (KGC) which updates users' private key periodically.But with this move, computation work on KGC will increase quickly with increasing number of users.We have proposed an ID based signature scheme (IBS) with outsourced cloud revocation authority (CRA).In this scheme, the revocation functionality is outsourced to a CRA.We have described the system framework of the scheme as well as its security model with complete security analysis.
An Analysis of Spoken and Written Errors Committed by the Tenth-Grade Students of SMA Negeri 1 Kuta

This study aimed at a) investigating the types of speech and written errors committed by the tenth-grade students of SMA Negeri 1 Kuta; b) investigating the sources of errors committed by the tenth-grade students of SMA Negeri 1 Kuta in speaking and writing. The subject of this study were the students of X science VII class. This class which consisted of 33 students; 16 males and 17 females, was chosen through purposive sampling. The data were collected through speaking test and writing test which were analyzed descriptively. The results indicated that, first, there were 438 speech error found, consisted of anticipations (2), perseverations (2), transpositions (14), substitutions (163), deletions (189), additions (67), and haplologies (1). Meanwhile, in writing, there were 772 errors found which consisted of grammar (623) syntax (56) dan mechanic (93). Second, the sources of errors in students’ speaking and writing were interlingual and intralingual (overgeneralization, ignorance of rule restriction, incomplete application of rules, false concept hypothesized. These findings have an important contribution to EFL teaching, specifically on teaching speaking and writing.
Modelling Carbon Emissions Efficiency from UK Higher Education Institutions Using Data Envelopment Analysis

Aims: To correlate the energy and carbon emission efficiency relative to research income, gross internal area, and population for all the Higher Education Institutions (HEIs) in the UK and to assess the comparative carbon emission efficiency of HEIs relative to economic metrics.&#x0D; Study Design: Analytical panel data study.&#x0D; Place and Duration of Study: This paper evaluates the energy efficiency of 131 HEIs in the UK subdivided into Russell and non-Russell groups from 2008 to 2015.&#x0D; Methodology: Data Envelopment Analysis (DEA) and Malmquist productivity indexes (MPI) are used for the efficiency calculations.&#x0D; Results: The empirical results indicate that UK HEIs have relatively high energy efficiency scores of 96.9% and 77.6% (CRS) and 98.5%, 86.3% (VRS) for Russell and non-Russell groups respectively.&#x0D; Conclusion: The evidence from this study reveals that HEIs are not significantly suffering from scale effects, hence, an increase in energy efficiency of these institutions is feasible with the present operating scale but would need to work on their technical improvements in energy use. Malmquist index analysis confirms the lack of substantial technological innovation, which impedes their energy efficiency and productivity gain. Findings show that pure technical efficiency accounts for the annual efficiency obtained in the DEA model, the technological progress in contrast is the source of their energy inefficiency.
Security against Fork Bomb Attack in Linux Based Systems

Linux is one of the most popular and widely used operating system in devices ranging from servers to tiny embedded gadgets.However, linux has greatly enhanced the security in many ways, but still it suffers from many attacks.A major process security issue called Fork Bomb is one of them, which is denial of service attack in which process continually creates itself to make system down or crash due to resource starvation.Most of the solutions found in the literature has their own limitations like false positive detection and resource unavailability.To preserve one goal that is availability among the CIA (Confidentiality, Integrity and Availability) of information security, we proposed to develop efficient solution which handles the fork bomb attack in such a way that system remains available for use by end user.
Teaching vocabulary by using English kid songs for the 3rd grade students of Linguistic Class Program (LCP) at MI Muhammadiyah 1 Pare – Kediri

Abstract&#x0D; English cannot be separated from vocabulary learning, because it is a very important aspect in language skills in addition to aspects of speaking, listening and writing. In this case, the vocabulary is not only used for communication it can also improve English skills such as writing, speaking and listening skills. Lacking vocabulary is the reason why English is difficult to master. The students have been studying English for long time with the several methods, but they do not have an adequate vocabulary in English. Descriptive qualitative method is used by the researcher as research design. This research is intended to find out the descriptive outcome of the collected data and the interpretation of which as the conclusion to know how the curriculum, syllabus and implementation of teaching. The response of students toward the teaching of vocabulary process was consist of three terms, they are students’ difficulties, students’ perception on teaching learning process, and the advantages which can be taken by following this class. The first was about students’ difficulties, students had the problem in pronouncing and memorizing the vocabulary. The second was about their perception in teaching learning process. Generally the students enjoy this program because the teacher always asks the students to sing a song together. The students really like learning while singing a song. Even though they had some problems in the class; they liked this program because it gave them advantage to prepare themselves to build their vocabulary. By following this program, it increased their knowledge about vocabulary.&#x0D; Key word: Teaching Vocabulary, English Kid’s Song.
PEDAGOGICAL PERIODICALS OF 1917–1945 IN THE CONTEXT OF MODERN HISTORIOGRAPHICAL STUDIES

Investigation of journals as an object of source search is an important factor in realization of the scientific research, while this information resource largely reflects the development of pedagogical thought, its features, problems, etc.Educational periodicals can be seen as a foundational indicator of scientific research, while they ensure continuity of information about current events. In addition, the scientific analysis of periodicals becomes important due to the highlighting of its complex and operative information of a diverse nature, making the periodicals a valuable source of historical and pedagogical research. The purpose of the article is to present periodicals of 1917–1945 as part of the information resource of the V. O. Sukhomlynskyi state scientific and pedagogical library of Ukraine, serving as the primary sources of historical and pedagogical research.By the 20th anniversary of the founding of the V. O. Sukhomlynskyi state scientific and pedagogical library of Ukraine, specialists of the library are preparing to publish the catalog «Periodicals of 1917–1945 in the fund of the V. O. Sukhomlynskyi state scientific and pedagogical library of Ukraine». The catalog contains 11 titles of «leading» nationwide journals, which pages substantiate the theoretical and methodological foundations of the new educational policy, establishes a close relationship with local teaching and provides assistance to educators in implementing new curricula and programs, and the methodological provision of the educational process.The article presents an overview of the publications in the magazines of that time, which contributed to the formation of ideological and axiological guidance among contemporary pedagogical practitioners. The publications of the periodicals contain information on important problems of the educational process in the school, which were characteristic of the chronological period under investigation, and the ways of their solution. Thus, there was a multifaceted professional communication of teachers through journals’ articles, an exchange of experience between active teachers with a creative approach to their professional activities.