Reviewerly/exHarmony huggingface dataset:
Punjabi Text Recognition System for Portable Devices: A Comparative Performance Analysis of Cloud Vision API with Tesseract

The increasing availability of high performance, low priced, portable digital imaging devices has created an opportunity for on demand analysis of documents. In this paper, Punjabi Text Recognition System is developed for portable devices using two different approaches that is Google’s Cloud Vision APIs and LSTM based Tesseract OCR Engine. The performance of developed mobile based systems is compared in term of runtime and recognition accuracy. Both Vision API and LSTM based OCR engine provides good results for Roman Based Scripts. Particularly for Gurmukhi text document images, Cloud Vision API recognizes Punjabi with good accuracy as compared to Tesseract. We presented a detailed comparison and computed the character and word level accuracy of both the systems for same set of images.
Distribution of the monthly global solar irradiation in the State of Tabasco, Mexico

Objective: To estimate the monthly average global solar irradiance (Rg), using observed cloudiness data (% of cloudy days), as well as its spatial distribution for the state of Tabasco, Mexico.Design/Methodology/Approximation: The proposed model by Tejeda-Martínez et al. (1999) was adjusted to estimate the Rg of 35 meteorological stations in the state of Tabasco. The adjustment was performed with daily observed Rg data fromeight automated weather stations and cloudiness data from eight ordinary weather stations. Results: The proposed model reports a good fit, given that its prediction was optimal according to Willmotts comparison parameter (c = 0.89), and excellent based on the Nash-Sutcliffe efficiency index (E = 0.99) and had a high corrected determination coefficient of Rc2 = 0.87.Study limitations/implications: It is necessary that in the state of Tabasco the number of automated stations increase, as well as technical maintenance to the existing stations.Findings/conclusions: The estimated Rg is statistically reliable. The highest Rg values occurred during the dry season, with a maximum of 22.99 MJ m -2 d -1 , distributed mainly in the northern part of the state. The lowest Rg values occurredduring the northeast season (12.52 MJ m -2 d -1 ), distributed in more than 80 % of the total state area.
Decision Support System for Accepting Pre-Employment Cards during the Covid-19 Pandemic Using the Method Multi Objective Optimization on The Basic of Ratio Analysis (MOORA)

During the Covid-19 pandemic there were many impacts on the community such as social, educational and financial problems, therefore the government as the highest authority in society made a policy for the Pre-Work Card program as a solution to one of the problems, especially in the economic sector that was felt by the community, such as overcoming the problem of unemployment, layoffs, and poverty. With the help of the Decision Support System, it is hoped that they will be able to make the best decisions for prospective Pre-Employment Card recipients. This study aims to determine the best alternative that fits the criteria according to the requirements of the Pre-Work Card by using the MOORA (Multi Objective Optimization On The Basic Of Ratio Analysis) method
Enhanced Load Balancing In Distributed Web Server Systems Using Document Replication Mechanism

The explosion of data traffic on the World Wide Web (WWW), web servers areoften experiencing overload from an increasing number of users accessing the servers atthe same time. To address the performance and scalability problems of web servers,Distributed Web Systems are used to share the load in the web servers. The nodes in theDistributed Web System distribute the documents themselves. In this case the responseload shared but the document distribution process load added to the distributed websystem. In a Distributed Web Server location of document and replication process are veryimportant for load balancing. The traffic generated due to movements of documents atruntime during load balance could also affect the performance of the DWS system. Thisresearch work shows that minimizing such traffic in a DWS system. Several heuristicdocument distribution schemes like distribution based on the request ratio and requestcount to perform partial replication of site’s documents at selected server locations so thatload balancing is maintained. This system adds a new alternate web server to handle thefailure problem of the centralized web server.
The Effectiveness of Mentoring Technique to Improve Self-Efficacy in English Language Learning of 7th to 9th-Grade Students with Visual Impairment at SLB A Yaat Klaten

This study aims at investigating the effectiveness of mentoring technique to improve self-efficacy in English language learning of 7th to 9th-grade students with visual impairment at SLB A Yaat Klaten. This study belongs to experimental research using a pre-experimental design with one group pretest-posttest. The subjects in this study include 7th to 9th-grade students with visual impairment at SLB A Yaat Klaten determined using a saturated sampling technique. The research instruments were questionnaires with 20 favorable statements and 20 unfavorable statements. The results of this study were analyzed using the Wilcoxon Sign Rank Test analysis, which yielded a Zcount of -2.160 with Asymp.Sig. (2-tailed) of 0.031, exemplifying a smaller value than the significance level (p&lt; 0.05). The outcome indicates that the mentoring technique contributes positively to the improvement of self-efficacy of visually-impaired 7th to 9th-grade students of SLB A Yaat Klaten for the academic year 2018/2019.
Resource Guides: How to Access E-Resources: Home: E-Resource Basics

All you need to know to get the most out of the e-resources that Hampshire and the Five Colleges have to offer!
An Enhanced Dynamic Signature Verification using the X and Y Histogram Features

Dynamic signature verification by using histogram features is a well-known signature forgery detection technique due to its high performance. However, this technique is often limited to angular histograms derived from vectors containing two adjacent points. We propose additional new features from the X and Y histograms to overcome the limitation. Our experiments indicate that our technique produced Under Curve Area AUC values 0.80 to detect skilled forgery and 0.91 for random forgery. Our method performed best when the verification system uses 12 of the most dominant features. This setup produced AUC values of 0.80 to detect skilled forgery and 0.93 for random forgery. These results outperformed the original technique when the X and Y histogram features are not used that produced AUC values of 0.78 to detect skilled forgery and 0.90 for random forgery.
The Moderating Effect of Organizational Changes on the Influence of Ethical Decision Making on Public Sector Internal Auditor Performance

This study investigates the role of organizational change in moderating the effect of ethical decision making on internal auditor performance. The study population comprises internal auditors who work in the public sector (a government-owned company in Indonesia). Smart Partial Least Square statistic software is used to test the hypotheses. This study has led to three findings. First, this study finds that ethical decision making provides support for auditor performance. Second, this study finds that organizational change does not provide support for auditor performance. Third, the analysis shows that the role of organizational change does not succeed in helping to strengthen or weaken ethical decision making in auditor performance.
Research Guides: Speech-Language Pathology: Anatomy

Created for faculty and students in the Speech-Language Pathology degree program at the University of Southern California.
See nothing: for string quintet and electronics

See Nothing is a piece for string quintet (two violins, viola, cello, double bass), and electronics. The electronic component is a ‘tape track’ that uses pre-recorded string pitches tuned to the frequencies of a single harmonic series. The performers use the tape track as a live tuning device to allow for the accurate reproduction of pitches based on harmonic series overtones. See Nothing follows a long historical precedent of Western music that uses the harmonic series as a foundational resource. This thesis discusses two of the most canonized musical ideas that use the harmonic series: just intonation and spectralism. It also compares some of the musical components of See Nothing to works by James Tenney, Georg Friedrich Haas, and Michael Harrison. The thesis describes the formal, harmonic, and timbral features of See Nothing, as well as reflecting on some of the more and less successful practicalities of using the tape track as a method for accurate live tuning.
The Realization of Brown’s Theory of Assessing Reading on Reading Section of English National Examination

This study is concerned with the realization of Brown’s theory of assessing reading on the English national examination. This study focused on the English national examination for junior high schools in the academic year 2018/2019. It aimed to know what types of assessing reading were used and what the most dominant types were used on the English national examination based on the realization of Brown’s theory. The qualitative approach was employed. The method of analysis used was descriptive research. Based on the data analysis, there was only one type of the four types of reading assessment which was implemented on the English national examination. It was interactive reading. The tasks which were used in interactive reading are impromptu reading plus comprehension question as many as 49 questions which are included in 17 texts and ordering tasks as many as 1 question which was included into 1 text. All of them were spread into 17 texts. The most dominant type of assessing reading was interactive reading (50 questions) which consisted of 49 questions of impromptu reading plus comprehension questions and 1 question of ordering tasks.
Overcoming Trusting Barriers in Inter-organizational Identity Theft Prevention in Knowledge Sharing: A Case of UK Retailing Industry

Inter-organizational knowledge sharing basically connects two or more firms with one another in exchange relationship for skills, expertise and knowledgeable personnel. Knowledge plays a key role in organizational performance but it is given a very little attention in terms of information security and requires addressing security concerns due to following reasons: First, because retailing is the most victimized channel due to online trade. Second, if organizational criminal wings can compromise the information system of one firm, they can attack other firms too. Hence, identity theft is a collective problem. A security breach is among the top three business stories and identity theft is the key reason why it occurs in online retailing. Identity theft is a serious issue of society at a large and its prevention requires knowledge sharing by several actors. Through different case studies, interviews and theoretical and empirical analysis, this study highlights some unknown side of prevention collaboration in the retail industry in the United Kingdom (UK) which is of theoretical and practical importance. This paper theoretically furthers our understanding of how communication of organizations with comparable goals is handled differently in information security management. Practically, it evaluates relationships of retailing firms, online fraud forums and law enforcement departments in the fraud prevention process. Our research outlines how retailers' partnerships with different stakeholders will help them solve and reduce identity theft by presenting a structure for inter-organizational fraud prevention in retailing organizations.
The Exploitation of Children in the Novel Tempurung by Oka Rusmini (A Sociology of Literature Perspective)

This study aims to reveal the exploitation of children inTempurung, a novel by Oka Rusmini.The data collection method used in this research is the literature study method.The method of data analysis is the qualitative method.The types of data that will be used in this study are from the novel.The results showed that there were two forms of child exploitation carried out by the parents in the novel.The forms of exploitation that are intended are (1) forced marriage of children, and (2) the sale of children in places of prostitution.The results of this research indicate that the father's act of forcibly marrying his daughter, and then exploiting his biological child, is immoral and condemnable.The implications of this research will inspire everyone to protect their children and not to do things that destroy the future of the child.
Islamic approach toward purification of transaction with cryptocurrency

This paper presents a qualitative study that examine the perception of users on Islamic approach towardpurification of transaction with cryptocurrency. Bitcoin is has been used as a case study which is one of thetype of cryptocurrency. There are huge discrepancies from many Islamic school of thought abouttransaction with bitcoin. Specifically, some school of thought viewed it as a tool used for illegal purposesand that the global public already uses Bitcoin mostly for illegal and non-Shari’ah-compliant purposesunder Islamic perceptions. As a result, this study developed an interview-qualitative research approach inorder to examine how the negative perceptions of cryptocurrency from Islamic views cnd be purify. Sampleof Eight informant were used in the study. The finding of this study indicated that the use of cryptocurrencyas a legitimate as any payment method. It is also argued that it facilitated transactions and cut the normalcost of international money transfer, and some Muslim countries are actively encouraging the use ofcryptocurrency due to its easy use and transparency. This has been also supported by “hadith”. Finally, theanalysis also confirmed that from the Shari'ah point of view, cryptocurrencies are as compliant as fiatmoney and ought to be accepted as another mode of payment that can be used in transaction as its value canbe measured and quantified. Therefore, this study has contributed in understanding the Islamic viewsbehind the implementation of cryptocurrency.
Two-Level Classification in Determining the Age and Gender Group of a Speaker

In this study, the classification of the speakers according to age and gender was discussed. Age and gender classes were first examined separately, and then by combining these classes a classification with a total of 7 classes was made. Speech signals represented by Mel-Frequency Cepstral Coefficients (MFCC) and delta parameters were converted into Gaussian Mixture Model (GMM) mean supervectors and classified with a Support Vector Machine (SVM). While the GMM mean supervectors were formed according to the Maximum-a-posteriori (MAP) adaptive GMM-Universal Background Model (UBM) configuration, the number of components was changed from 16 to 512, and the optimum number of components was decided. Gender classification accuracy of the system developed using aGender dataset was measured as 99.02% for two classes and 92.58% for three classes and age group classification accuracy was measured as 67.03% for female and 63.79% for male. In the classification of age and gender classes together in one step, an accuracy of 61.46% was obtained. In the study, a two-level approach was proposed for classifying age and gender classes together. According to this approach, the speakers were first divided into three classes as child, male and female, then males and females were classified according to their age groups and thus a 7-class classification was realized. This two-level approach was increased the accuracy of the classification in all other cases except when 32-component GMMs were used. While the highest improvement of 2.45% was achieved with 64 component GMMs, an improvement of 0.79 was achieved with 256 component GMMs.
Research Guides: LSC 250: Research Methods in the Communication Industry (Spring 2021): Finding Research Articles

This guide provides links to selected resources from among library collections and services to support students in LSC 250.
Intelligent compression for synchrotron radiation source image

Synchrotron radiation sources (SRS) produce a huge amount of image data. This scientific data, which needs to be stored and transferred losslessly, will bring great pressure on storage and bandwidth. The SRS images have the characteristics of high frame rate and high resolution, and traditional image lossless compression methods can only save up to 30% in size. Focus on this problem, we propose a lossless compression method for SRS images based on deep learning. First, we use the difference algorithm to reduce the linear correlation within the image sequence. Then we propose a reversible truncated mapping method to reduce the range of the pixel value distribution. Thirdly, we train a deep learning model to learn the nonlinear relationship within the image sequence. Finally, we use the probability distribution predicted by the deep leaning model combined with arithmetic coding to fulfil lossless compression. Test result based on SRS images shows that our method can further decrease 20% of the data size compared to PNG, JPEG2000 and FLIF.
Blockchain and Reliable Mapping Scheme Utilizing Decentralized Computing Sources

Organization Address Translation is a system that awards gadgets with singular IP conveys to connect with the web by sharing a public IP address. Intersection the system stays an issue for a significant selection of purposes identifying with Voice over IP and Web of Issues. The Port Management Protocol (PCP) is a comparatively new show standardized by the Internet Engineering Task Force to decide the NAT crossing issues. It permits a gadget to request and deal with an arranging between its non-public IP oversee and transport-layer port to a public IP tackle and port. As PCP requires an application-subordinate strategy for appropriating the mappings too far away has, different assaults can objective the scattering specialist and render the correspondence channel weak. On this paper, we suggest and realize a decentralized Block chain-based methodology for scattering mappings, beginning to end direct correspondences with none trusted thirdly get together laborer. The mappings and public keys into the Block chain, and different friends would then have the option to find a few solutions concerning these mappings to decide beginning to end safe direct correspondences. The execution watches that the component is possible concerning trades charges, can smooth out and safe beginning to end direct exchanges, and may interwork with ordinary security techniques.
Kajian Keberkesanan Pembelajaran Interaktif Berasaskan Aplikasi Kahoot

Nowadays, the use of game elements is used in various contexts for various purposes. Game in the form of online is one of the alternative methods in the teaching and learning of this 21st century student. Kahoot is one of the methods in interactive learning today. It is an alternative method that can increase the motivation of students in the classroom. The aim of this study was to examine the effectiveness of this method to the students who take the course of marketing principles to solve problems in understanding the content of the topics of marketing mix. A total of 40 students were involved in this study. As a result of a preliminary survey conducted through theory test in the classroom, the previous results obtained by the students were at an unsatisfactory level. Research conducted over the last semester and has shown encouraging results for students and lecturers. The use of the Kahoot portal in the form of online exercises, reviews and assignments has shown students to be more excited and excited to learn the marketing mix. The use of the Kahoot portal in the form of online exercises, reviews and assignments has shown students to be more excited and excited to learn the marketing mix. The findings showed that there was an increase in student achievement and found that the comparison of the results between the Pre-Action and Post-Action Test on these 40 students had increased relatively. In addition, the findings from the questionnaire were also carried out that students also showed a tendency and interest in the teaching methodology. Hence, this online game teaching method can be seen as one of the most effective methods of teaching and learning in the R & D (Learning and Teaching) sessions, especially in the course principles of marketing.
An Analysis of Data Security and Privacy for Cloud Computing

Cloud Computing is the important buzzword in the today’s world of computer. Cloud is global platform that allows digital information to be stored and distributed at very less cost and very fast to use. In these days since the data is very big in size many users are interested to store their valuable data in the cloud .The application software and databases in cloud computing are moved to the centralized large data centers, where the management of the data and services may not be fully trustworthy. Cloud Computing is scalable, fast, flexible, and cost-effective technology platform for IT enabled services over the internet. There are various advantages of cloud computing but ultimately cloud service users have to put their data over the cloud i.e., third party servers which are not directly controlled by the data owner Data security has consistently been a major issue in information technology In cloud computing in users perspective mainly in government ,industry and business Data security and ivacy protection issues are relevant to both hardware and software in the cloud architecture. Cloud security is becoming a key differentiator and competitive edge between cloud providers. In spite of various benefits that are provided by the cloud computing services, cloud computing service users are very much afraid about the security of their data .So this paper focuses on various issues regarding cloud computing, data security and how cloud provides data integrity, confidentiality, availability over user’s data? How data stored over cloud storage servers will be protected from attackers? Risk management of data present on the Cloud is another challenge. There is a requirement to identify the risks an organization would be taking while hosting data and services on the Cloud. In this paper, we present those issues that are preventing people from adopting the cloud and to minimize risks of these issues.
Evaluación de la calidad del proceso educativo para estudiantes con discapacidad

Today, the problem of developing inclusive education in Russia is particularly important. More and more innovative approaches to teaching and raising children with special educational needs have been proposed. The paper proposes a system for assessing the quality of the educational process in educational organizations. The system includes indicators reflecting the effectiveness of educational and scientific activities of students with disabilities, as well as their social adaptation in inclusive education and involvement in extracurricular activities. The author has put forward recommendations related to improving the quality of educational training for people with special educational needs.