Reviewerly/exHarmony huggingface dataset:
A Safe Image Steganography for Verbal Communication through Information Activity in Digital Pictures

Steganography is with the intention of the art and science of writing secreted messages in such with the aim of nobody excluding the dispatcher and supposed recipient, suspects the existence of the message. We tend to tend to are constructing Associate in Nursing implementing a fresh algorithm supported activity an oversized amount of information (image, audio, text) file into color BMP image. We have been used adaptive image filtering and adaptive image segmentation with bits replacement on the suitable pixels. These image parts are elite willy-nilly rather than consecutive by using a brand new plan made public by main cases with their sub cases for each store unit in one component. this concept supports every visual and mathematics in line with the steps of fashion, we have been everywhere sixteen main cases with their sub cases that cowl all aspects of the computer file into color icon image. High-security layers are projected through 3 layers to form it arduous to interrupt through the committal to writing of the laptop file and confuse steganalysis too. These techniques are a great deal of useful for investigation the stego footage what is more as a result of the image media regarding security of images and embed the knowledge for advanced image area which we'll merely calculate approximately the high embed rate by victimization the quantitative steganalysis technique.
Image Inpainting Applied to Art: Completing Escher’s Print Gallery

This extended abstract presents the first stages of a research in inpainting suited for art reconstruction. We introduce M.C Escher’s Print Gallery lithography as a use-case example. This artwork presents void on its center and additionally, it follows a challenging mathematical structure that needs to be preserved by the inpainting method. We present our work so far and our future line of research.
Hydrocarbon contamination, assessment and remediation practice

Organic chemicals are used in all types of industries including but not limited to automotive and engine repair, dry cleaning, asphalt operations, dye manufacturing, agricultural activities, and food processing. The usage of organic chemicals is of increasing concern to regulators because of the contamination of soil and groundwater resulting from the mishandling and disposal of these chemicals. Typically, drums, underground and aboveground tanks are used to store these organic chemicals. The presence of large amount of chemicals, gasoline, and diesel fuel on-site is considering an indicator of the potential for soil and groundwater contamination. Due to leaking UST or surface spills of organic chemicals and its constituent it becomes the common culprits of soil and groundwater contamination. The first step toward implementing a remediation is to provide for [...] a better understanding of the physical properties of the organic chemicals themselves. This study reviews the chemistry of hydrocarbon and the fundamental concepts and principles of geology and hydrogeology, since the media where the contamination is taking place, and followed by a discussion of the fate and transport of contaminants in the subsurface, from an industry and regulatory point of view. The types and design of remediation system was overlooked and applied in a real case of study of Phase I, II and [III] Environmental Site Assessment. This study concluded with an overview of the application of the remote sensing in the environmental industry and its future potential involvement in the environmental site assessments, Phase I through Phase III audits.
Deficiencies In Peca And Proposed Amendments To Facilitate Investigating Agencies, Courts And Prosecution; Proper Use Of Electronic Devices For Effective Implementation Of Law

The purpose of this paper is to analyze and propose amendments in the Pakistan Electronic Crime Act (PECA). It is observed that the Act contains some inherent weaknesses and difficulties due to which some criminals may set free. The investigating agencies, courts, prosecution and the defense attorney formulate a system and work within the ambit of the applicable laws. They derive their strength from the explicit provision of Law and the prescribed procedure. In the case of Electronic Crimes, the forensic evidence, its organization and presentation in the court of law is of pivotal importance. Any deficiency, for example, in procurement of evidence may destroy the entire case of the prosecution in court. The lack of evidence or incorrect procedure of its procurement helps the defense attorney. The judges have to give the verdict keeping in view the well organized and consistent evidence and also under the explicit provisions of law. The central idea of this paper is to make effective modifications and amendments in PECA, as it lacks “proper and soundproof” system for procuring general evidence, forensic and electronic evidence. The paper also focuses on these procedure.
A Research on an Efficient Cloud Scheduling with a Geo Microarray Data Set

Investigations on micro-array organisms for various researches have made a non discrete dealing of thousands of gene expressions achievable. For any applications, the results would be more accurate only when maximum count is analyzed within a predictable time and it is one of the unseen challenges in the field of bio medicine. The purpose of this data analysis is to regulate and control the activities of thousands of genes in our body. This paper develops a scheduling analysis of how effectively gene molecular patterns are taken into experimentation. This motivated our investigation in a new dimension for a cloud environment. This paper is about applying our previous works such as Workflow Shuffling and Hole Filling Algorithm (WSHF) [13], Agent Centric Enhanced Reinforcement learning algorithm (AGERL) [14], Heuristic Flow Equilibrium based Load Balancing (HFEL) [15] and Dynamic Resource Provisioning and Load Balancing (DRBLHS) [16] algorithms collaboratively for a Gene Express Omnibus dataset as a case study. The gene data’s plays an important role in monitoring the human activities and how well, the data has been processed in the cloud with minimum budget, time and minimum virtual machines. Finally, the efficiency of the system is analyzed in terms of resource utilization, completion time, response time, throughput and VM Migration time
LANGUAGE LEARNING BASED ON ICTs

The article discusses the use of information and communication technologies (ICTs) and their achievements in the foreign language learning.Using ICT in a foreign language lesson provides an imitation of a foreign language environment, creates the conditions for authentic communication, increases motivation to learn a foreign language and intensifies the development of such skills as reading, writing, speaking, perception of a foreign language.The article analyzes and presents links to resources for teaching and learning English and other foreign languages.The author also notes the effectiveness of software applications for independent learning of a foreign language.
Billing Monitoring System using NFC and Block Chain

Today Block chain Technology is the upcoming one, all other current implementation advices to keep our documents encrypted for the secured communication. But they are using in many field particularly for transaction this project is our implementation. In this project, we aim to track the black money rotation as well as to track the GST payers with Taxation process. We add NFC Hardware to the high value currency from Rs. 500 to Rs. 2000 and also we include Expiry date for all the notes implicitly in the server. During any process vender has to scan the NFC so that received amount is recorded to the main Government server. GST is automatically collected from the vendor. Taxation is also verified with GST from both purchaser and the vendor. Both the accounts are monitored so that malpractice is totally avoided. This system will ensure 100 % genuine Transaction
THE IMPORTANCE OF PHYSICAL FUNCTION IN PATIENTS WITH MULTIPLE MYELOMA FOR IMPROVING QUALITY OF LIFE

To find out the relation between physical function and quality of life in multiple myeloma patients.• Retrospective cross-sectional study • Inclusion criteria -2017.
A Comparative Study on the Quality of English-Chinese Machine Translation in the Era of Artificial Intelligence

By combing the status quo of the research on the quality of machine translation, this paper evaluates the translation quality under the guidance of the traditional translation standards of faithfulness, expressiveness and elegance. It makes a qualitative and quantitative analysis of the current mainstream online machine translation systems such as Google translation and Baidu translation, compares their differences, analyzes the translation quality, summarizes and discusses the common typical errors and their laws, in order to improve machine translation and its quality.
STRENGTHNING THE PRODUCTIVITY OF STORAGE FOR BIG DATA STORAGE SYSTEMS USING DISTRIBUTED DEDUPLICATION

Cloud storage is one of the key features of cloud computing, which helps cloud users outsource large numbers of data without upgrading their devices. However, Cloud Service Providers (CSPs) data storage faces problems with data redundancy. The data deduplication technique aims at eliminating redundant information segments and maintains one single instance of the data set, even if any number of users own similar data set. Since blocks of data are spread on many servers, each block of the file has to be downloaded before restoring the file to decrease system output. We suggest a cloud storage server data recovery module to improve file access efficiency and reduce time spent on network bandwidth. Device coding is used in the suggested method to store blocks in distributed cloud storage, and for data integrity, MD5 (Message Digest 5) is used. Running recovery algorithm helps the user to retrieve a file directly from the cloud servers without downloading every block. The scheme proposed improves system time efficiency and the ability to access the stored data quickly. This reduces bandwidth consumption and reduces overhead user processing while downloading the data file.
PENERAPAN METODE FRAME BY FRAME DALAM PEMBUATAN ANIMASI TATA CARA HAJI SESUAI SUNNAH RASUL MENGGUNAKAN APLIKASI 3DS MAX

Advances in technology in the field of information are developing very rapidly at this time, especially information in the field of animation. The animation is a visual form that moves and is used to present information and learning that is difficult to understand if delivered in general. The use of animation media is specially made to find out the procedures for the Hajj pilgrimage in order to increase knowledge for someone who wants to perform the Hajj or want to know the Hajj procedures because Hajj is the fifth pillar of Islam where if someone carries it out, much wisdom will be gained. Information about the pilgrimage procedures is packaged with 3D animation and created using 3Ds Max application and the frame by frame method, where all movements of the animation are arranged using frames. So that the resulting learning media, namely animated videos that add insight and information for someone because it is packaged with media that is more attractive and easy to understand, namely animation.
Exploration and Practice of New Engineering Courses in Local Universities

The integration of University and local development is not only a means to realize the connotative index of higher education, but also an important way to construct new engineering courses in local colleges and universities.By analyzing the role-playing and reform constraints of local universities and regional government and enterprise colleges in the construction of new engineering courses, starting from the basic characteristics of new engineering construction and the new demand for engineering talents, taking Xinglin College of Nantong University as an example, this paper expounds the basic ideas of local colleges and universities to develop new engineering through school local integration.
The Application of the Cooperative Integrated Reading and Composition (CIRC) Learning Model in Improving the Ability to Find Elements of the Nonfiction Book for Class VII Students of SMP Negeri 1 Ma'u Nias Regency 20202021 Learning Year

Reading is the process of obtaining information through writing.By reading, someone will add insight.The message conveyed by the author will be a consideration for the reader because in the discourse there is information that attracts readers.The more often you read, the more knowledgeable someone will be.Reading in education is one aspect of language skills that students need to master because reading is an important skill to support the learning process.This is because reading is the first step
Economic Press Coverage in the UAE. Study of Content Analysis of Daily Economic Supplement Al-Etihad Newspaper 2018

The study covered economic news coverage in its different forms (news, reports, press interviews, articles, etc.) of the economic supplement of the UAE daily newspaper Al Etihad by studying a random sample of the daily economic supplement in November 2018. The study focused on several types of the journalistic forms published by the mentioned annex, and the extent of economic and development coverage of this supplement to other forms such as the publication of studies or economic analysis or the use of the investigative press with all its outputs to serve this coverage to satisfy the growing needs of readers interested in economic issues that are of interest to large numbers of readers nowadays. The study also examined the economic news forms on which the editorial policy focuses on the appendix, as well as the different sources from which the issuers of the appendix draw this information and organize these sources according to certain criteria such as relevance, credibility, inclusiveness and others. This is to know the percentage of ready-made news (negative) and news produced by the newspaper staff (positive) and news from public institutions that the newspaper works to support and reformulate it (positive / negative). The researcher relied on the methodology of the media survey and the content analysis tool for seven economic supplements for the newspaper mentioned (days 4, 5, 7, 9, 10, 11 and 26/11/2018). The study included three axes, one devoted to the theoretical framework and the second to the methodological framework. The third axis was devoted to the analytical study.
Multi Model Approach to Extract Human Features in Real Time

Face detection and analysis systems has been growing in last few years for various applications. Since the hardware performance increase in last few years, useof Deep Learning, Convolution Neural Network, Face detection, Face analysis techniques is increasing and day by day developed models are breaking accuracies of previous models and research in various tasks. Facial analysis system with age, gender and emotion recognition have been proposed with good accuracies for real-time and non-real time both. The present research paper focuses to provide a robust system architecture for age, gender and emotion recognition in real time which can be use in commercial, healthcare, and many more industries. To achieve this a literature survey is done on the same topic with previous researches to compare their results. The final model architecture proposed in this research paper is efficient and fast and provides accurate results as compare to previous researches
Motivasi Mahasiswa Usia Dewasa Mengikuti Perkuliahan pada Program Studi Pendidikan Guru Paud di FKIP Uninus Bandung

&lt;p&gt;&lt;em&gt;This research is based on data from observation data of students of PG PAUD Uninus Bandung, which in conclusion about 40% of students of PG PAUD study program from the age side including middle age or other term is included in middle age. This condition attracts the attention of researchers so it is important to examine the background of students, motivation, goals and reasons of the students of the adult age group to attend the lectures in the PG PAUD Uninus FKIP. It is expected to obtain data for the stakeholders both at the level of Prodi, Faculty and University level. The method used in this research use descriptive analytical research method with qualitative approach. This method is supported by data collection techniques such as observation, documentation and interviews. The sample of this research is students of PG PAUD Uninus FKIP study program which is in the adult age range or about 25 and up to 60 years old. Technique of data analysis this research use three step analysis, that is data reduction, data display and data verification. The expected output of this research is in the form of scientific articles published in accredited national journals. The results showed that adult students who attended lectures at Prodi PG PAUD mostly aged between 51 to 55 years from the employment side of most of the students is a non-civil servant or honorary teachers and most have not been certified. adult students attending or continuing lectures in Prodi PG PAUD, among others, because the demands of their professions as PAUD teachers for the benefit of linearity or for students who have not previously had a diploma equivalent to some other scholars who have civil servants but the diploma is not linear with PAUD so that they have to go to college or PAUD field so that the diploma in accordance with the profession. The results conclude that economic factors are not the dominant factor for students to follow or continue their lectures in the area of early childhood is more dominated by linearity with their work not because of economic factors. As for economic reasons, certification. or civil servants that only a small part of one of the factors of adult students continue studying in Prodi PG PAUD.&lt;/em&gt;&lt;/p&gt;
Two Optimal Measurements of Normality for Finite Set of Discrete Data

When one applies statistical models, he usually makes the assumption that the data or error come from a normal distribution. In order to verify or to estimate the parameters of the normal distribution, the typical approaches would be normality tests and model selections. In this article, we come up with two methods that could fit the data via normal distribution and measure the fitness. This would serve an alternative for model selection. Unlike statistical approaches - parametric or non-parametric statistics - we use approximation approaches to measure the optimal similarity between a given data set and its induced normal distributions and then search for the optimal normal distribution that has the best similarities. The degree of similarity is defined by two approaches: the overlapped area and the arccos function. The idea is to look at the patterns between data set induced step function and sampled normal distributions in the form of approximated step probability density functions. Our analytical approach could measure the degree of normality, or the similarity with normal distributions, which could then used in pioneering findings for related statistical inferences
Python-A Research On Its Concepts, Modules and Frameworks

Python is a High Level and Multi Paradigm Programming Language,Which was designed and developed by "Guido Van Rossum" in the late 1980's.Python is easy to learn language and very apt for Real World Programming.Python is having its importance in the real world domains such as Web Development,Game Development,MachineLearning,ArtificialIntellig ence,Data Science ,Desktop GUI Apps,Web Scraping Applications Applications,Business Applications,AudioandVideo Applications,CAD Applications and Embedded Applications.The use of Python in Large no of domains is due to its simplicity of language constructs,Multi Paradigm nature of language,vast no of modules and large no of Frameworks available.In this Paper I am going to discuss about the Python's Concepts,Modules and Frameworks I am also discussing about the Merits and Limitations of Python.
Entrepreneurial Marketing Dimensions and Market Performance of Small and Medium-scaled Enterprises in Niger Delta, Nigeria

Although small and medium enterprises provide diverse employment opportunities and economic growth in the Nigerian economy, entrepreneurial marketing has received little attention in the Niger Delta region of Nigeria in spite of challenges faced by them.The study examined the entrepreneurial marketing dimensions and market performance of small and medium scale enterprises in Delta State.A sample of 245 respondents comprises of owners or managers of SME's in Warri/Effurun Metropolis were selected for study.Convenience sampling techniques was used to select the sample after the area has been subdivided into zone with quota sampling methods.A survey research design was used to collect data from respondents through the use of questionnaire.Hypothesized relationships between the variables of study were tested using multiple regressions.Findings reveal that all the entrepreneurial marketing dimensions of pro-activeness, opportunity-focused, innovation-oriented, customer intensity, resource leveraging and value creation have significant positive relationship with market performance while risk making have a negative relationship.It is therefore recommended that owners and managers of SME's should be pro-active, aggressive and innovative in design of strategies towards enhancing market performance in their organization.
PELATIHAN PENINGKATAN LITERASI DALAM PENGGUNAAN MEDIA PEMBELAJARAN KOMIK DI SDS ANGKASA 4 JAKARTA TIMUR

Reading skills play an important role in our lives because knowledge is acquired through reading. Therefore, this skill must be mastered by students well from an early age. Unfortunately, in the 21st century, the literacy ability of students has decreased. The general objective of this activity is to use comic-based learning media in order to help improve the literacy culture of students. The specific purpose of this activity is to increase the creativity of teachers in developing learning media, namely comic-based. The benefit of this activity for the school is to produce a comic that can help them improve the literacy movement in their school. The benefit of the activity for teachers is to develop their creativity in producing a work that can improve to literacy of students
Secure Secret Image Sharing using Histogram Localization Based Block wise Methodology

Various types of encryption techniques have been used for data security. Complex algorithms are followed for this purpose in most of the methods. Confidentiality is provided by a technique called visual cryptography excluding of any intricate computations and algorithms. In this paper, we put forward an innovative method called Histogram Localization based Blockwise (HLB) approach to solve pixel expansion problem at the same time it will increase the security and visual quality for highly confidential secret image which is in color. According to this method, the secret shares are generated based on the histogram and also the number of black pixels in the corresponding block. The image size of resultant shares is same as in the original secret image. These shares are distributed to participants, and human vision system is used for decryption purpose.