Reviewerly/exHarmony huggingface dataset:
Health Test Bed Group

Under the new law for the secondary use of medical information, which was activated in May 2018, the future expected secondary use with information anonymization may contribute to research and development in the medical field of integrated medical research and public health. On the other hand, under the revised Personal Information Protection Law and the revised ethical guidelines in medical research, privacy protection and patient consent management is a crucial issue for the management of researches. Our JST CREST project, which started in March 2014, has issued the development of technological elements and synthesized the developed methods for real-world system for the secondary use and privacy protection of big data on cloud infrastructure, including safe clinical information management, commercial cloud utilization, and privacy risk evaluation. In this paper, assuming the utilization of the Standardized Structured Medical Record Information Exchange version 2 storage, the following target issues are described: (1) effective utilization of existing standardized storage, (2) secure data collection across medical institutions, (3) privacy risk evaluation in analysis, and (4) traceability while secondary use.
Modulation Domain Encrypted Transmission Based on Chaotic Sequence for Satellite Communication

In order to solve the interception problem of satellite signals, a modulation domain encrypted transmission method based on chaotic sequence is proposed. Chaotic sequences are sensitive to initial values and the results are difficult to predict. Modulation is an important process before signal transmitting, and there is no additional equipment required to encrypt the signal by the new method. The encrypted transmission method can use multilevel modulation to complete encryption with a special Vigenere cipher whose key is generated by chaotic sequences and greatly improve the security performance of the signal transmission without increasing the complexity.
EFFICIENT AND EXPRESSIVE KEYWORD SEARCH OVER ENCRYPTED DATA IN CLOUD

Searchable encryption allows a cloud server to conduct keyword search over encrypted data on behalf of the data users without learning the underlying plaintexts. However, most existing searchable encryption schemes only support single or conjunctive keyword search, while a few other schemes that can perform expressive keyword search are computationally inefficient since they are built from bilinear pairings over the composite-order groups. In this paper, we propose an expressive public-key searchable encryption scheme in the prime-order groups, which allows keyword search policies i.e., predicates, access structures to be expressed in conjunctive, disjunctive or any monotonic Boolean formulas and achieves significant performance improvement over existing schemes. We formally define its security and prove that it is selectively secure in the standard model. Also, we implement the proposed scheme using a rapid prototyping tool called Charm and conduct several experiments to evaluate it performance. The results demonstrate that our scheme is much more efficient than the ones built over the composite-order groups. INDEX TERMS - Searchable encryption, cloud computing, expressiveness, attribute-based encryption
Rekayasa Informasi Untuk Mendukung Keberlangsungan Proses Service Level Management

The main component of the entire strategy in Service Level Management (SLM) as a service provider is shown by implementing the Service Level Agreement (SLA). The service provider has to always guarantee that SLA which is indeed determined for a customer is achieved and fulfilled. The thing causing a failure in fulfilment of SLA is the expectation of business that is categorized in high indication while SLA establishment is still in progress, so it is indicated that there is a difference of perception between business and IT paradigm. The aim of this study is to build a framework to facilitate the achievement of a balance between the expected quality for the customer as the receiver party and the service which is offered by a service provider. The methodology which is applied in this study is by using an approach of informationengineering that consists of planning the analysis of related vision, planning of the technology effect, analysis of critical success factor, analysis of problem and purpose, as well as the identification of business area. The research which is conducted has given an obvious perspective paradigm in general that an integrated information system is indeed needed into the implementation of SLM to complete the significance among the functional divisions in a company
Improvement of Alert System against Tampering and Theft in Surveillance Cameras

Use of Surveillance cameras in houses and markets became common, that resulted to minimize theft and make it a difficult task because it let recording and viewing what is going around. The wide application of these cameras, pushed thieves to seek new ways for abolition of the surveillance system and digital recording of events, such as cutting the signal wire between the camera and Digital video recorder or changing the direction of the camera away from the focus spot or damaging the camera or steal the device which means the loss of the recorded media. This paper focuses on such abolitions and fixed it by suggesting a way to notify the administrator immediately and automatically by Email about any violation of the system using MATLAB, which allow fast action by the administrator to fix such tampering. The results show that selecting of threshold equal to two was fair in detecting motion and value of five, in case of changing the camera direction through testing of fast and slow motions.&#x0D; http://dx.doi.org/10.25130/tjps.24.2019.039&#x0D;
Comparative study of academic achievement of higher secondary student’s of uttar pradesh state in india

The main objective of the study was to compare the Academic Achievement of Higher Secondary Students of Uttar Pradesh State in India. The data was collected from the Higher Secondary Student’s studying in the Higher Secondary Schools of Uttar Pradesh State. The data of the present study was collected from 700 students selected at stratified random sampling basis from 70 higher secondary school’s (10 students from each school) of 35 districts of U.P, selecting two schools from each district at random basis. Academic format for collecting academic achievement of the subjects, as included in the openionnaire. For this purpose, the marks achieved by the individuals in their Class-X th SSC examination were taken as their academic achievement. In order to obtain the scores on academic achievement of the subjects, the marks obtained by them in the annual examination taken by SSC for class tenth were collected from their Mark sheets issued by SSC Board. Mean, S.D. and‘t’ test methods were used for statistical analysis. Conclusion: The Obtained critical ratio indicates insignificantdifference between two categories of academic achievement of students belonging to good and poor.
LibGuides: Electronic Resources: Spotlight

This page highlights a sample of the library's electronic resource collection that might be of interest to VSU faculty, staff, and students.
EXPLORING THE POSSIBILITY OF APPLYING NATURAL LANGUAGE PROCESSING (NLP) IN INTER MULTI-LINGUAL TRANSLATION OF INDIAN LANGUAGES FOR ENHANCED EASE OF INTEROPERABILITY

India is a country having multiple languages.The states in the country are based on languages; the people speak in those regions.Even in the same state, the language changes over short distances.Indian language has multiple kinds of literature that are difficult for another person in different regions to understand their language.This can be a useful tool for filling the gap between two languages with the help of NLP.As we know, NLP is a part of AI, which contains computer science and sentiment or linguistics.So, we can say that NLP is a technique which works as a bridge between humans and computer to fill the gap in computer language.It requires deep knowledge of statistics, computer language, and linguistics.So, it can be placed in the multidisciplinary area.Although research is going on in this field, still the solutions produced do not provide satisfactory results.It is due to the diversity of Indian languages and other challenges like unavailability of Natural Language Processing tools, unavailability of annotated corpora, absence of standards, ambiguity in conversion, an unmatched word in target languages, etc.Some Indian languages are easy to convert, e.g., from Hindi to Punjabi and vice versa, but some languages are very difficult to convert, e.g., from Urdu to Hindi or Punjabi.This paper discusses the challenges being faced by NLP researchers for Indian Language Conversions.
Efektivitas Peningkatan Kemampuan Mengingat Kosakata Gairaigo Menggunakan Media Kartu Kwartet (pada Siswa Kelas X SMK Mandala Tiara Bangsa 2019/2020)

The quartet card learning is a game card and consists of colorful images and vocabulary. It belongs to teaching tools for the whole learning. In the learning process, all students can apply it. Therefore, the visibility of students is not limited to using imagery media only. The color of the G airaigo letter can also reinforce students to memorize the G airaigo vocabulary. Furthermore, due to the attractive card design, the game can also increase the motivation of students in learning the Gairaigo vocabulary. The purpose of this research is to determine the effectiveness of the use of Learning Media, quartet card, on the ability to remember Gairaigo vocabulary. The research method used was the quantitative method of authentic experimental design, with the sample of the students of SMK Mandala Tiara Bangsa, divided into control and experimentation classes. It showed that learning by using the media of the Quartet card learning was practical. It could increase the value of learning outcomes of Gairaigo vocabulary and attract students' interest and attention in learning Japanese. Hence, it also gave an active learning experience in the classroom.
Securing Medical Data Using Fully Homomorphic Encryption

Medical data sharing between researcher, doctors and medical services is required to grow healthcare field, patient’s data privacy is important in such a scenario. According to healthcare industries survey around 65–70 percent healthcare agencies uses clod service. All the patient’s data and hospitals record stored on cloud. Research says that till 2022 most of healthcare agencies will use cloud for storing clinical data. This research ideas comes into picture because of cloud computing terminology. If we upload all clinical and patient data on cloud, maintaining data privacy is important. As we are outsourcing confidential data on cloud data privacy is important issues. Some encryption algorithm provides strong security that helps to protect privacy of data, but traditional algorithm is not providing facility to compute or perform any operations on encrypted data. Homomorphic Encryption (HE) is a technique used for computation on encrypted data without sharing secret key. Our research focus on optimizing computation time on encrypted data. Scheme uses data block size and key size of 128 bits, results shows that ours scheme takes less time as for computation on encrypted data and improvement in CPU performance.
Describing Software Developers Affectiveness through Markov chain Models

In this paper, we present an analysis of more than 500K comments from open-sourcerepositories of software systems.Our aim is to empirically determine how developers interact with each otherunder certain psychological conditions generated by politeness, sentiment andemotion expressed within developers' comments.Developers involved in an open-source projects do not usually know each other; they mainly communicate through mailing lists, chat rooms, and tools such as issue tracking systems.The way in which they communicate affects the development process and the productivity of the people involved in the project.We evaluated politeness, sentiment and emotions of comments posted by developers and studied the communication flow to understand how they interacted in the presence of impolite and negative comments (and vice versa).Our analysis shows that when in presence of impolite or negative comments, the probability of the next comment being impolite or negative is 14% and 25%, respectively;  anger however,has a probability of 40% of being followed by a further anger comment.The result could help managers take control the development phases of a system, since social aspects can seriously affect a developer's productivity. In a distributed environment this may have a particular resonance.
Design and Implementation of Automation Deployment Tool for Power Grid Dispatching and Control System

To improve the quality and efficiency of software deployment of power grid dispatching and control system, an automation deployment tool is designed. In the overall system architecture, a JSON-RPC-based access service layer is designed to achieve high reuse of the back-end service under C/S and B/S architectures. This paper analyzes the structural characteristics of each module, and focuses on the implementation of JSON-RPC service and GUI under the C/S architecture. Finally, the function of the automation deployment tool is verified by testing.
Co-occurences of kok and other markers in colloquial Jakartan Indonesian

This study analyzes discourse marker (DM) kok (why) in colloquial Jakartan Indonesian. Co-occurences of markers are noticeable features. It focuses on examining the emotive and textual functions of the co-occurences of kok and other markers. This study applied corpus methods. It was found that there are 7 markers co-occur with kok namely lho , eh , oh , lha , wah , ah , and ih that always appear on the left side of kok . Only DM sih occurs on the right side. In emotive functions, the co-occurrences were used to show shock, disappointment, and disgust. Three markers might occur together in one utterance which cause more complex senses. Some utterances with kok appear repeatedly in the form of questions. It seems that in questions with kok , the speakers feel more curious and demand more responses. In textual functions, the speakers use the co-occurrences to raise a topic, emphasize, demand answers, and negotiate. Moreover, it was also used when the speakers have just noticed something and tried to make the interlocutors notice.
Effective Distance based Low-Rank Preserving Projection

Preserving global and local structures during projection learning is very important for feature extraction, they commonly introduce an extra graph regularization term, If this initial graph construction is of low quality then the resulting projection may also be of low quality. Moreover, conventional projection methods simply use Euclidean distance to measure the similarity of samples, ignoring the dynamic structure information of data. Meanwhile, recent studies have shown that a probabilistically motivated distance measurement (called effective distance) can model the dynamic structure information of data. In this paper, we propose an effective distance based Low-Rank Preserving Projection method (EDLRPP), EDLRPP imposes the effective distance based graph constraint on the reconstruction error of data instead of introducing the extra regularization term to capture the global and local structure of data, which can greatly reduce the complexity of the model. We evaluate our method on datasets in the task of image classification, with results demonstrating the effectiveness of the method.
A Study on Distributive and Procedural Justice of Flight Attendant

Purpose: This study demonstrated and analyzed the role of distributive justice and procedural justice in explaining the organizational effectiveness...
Research Guides: Virtual Reality at PUL: Curricula Use Case Examples

Virtual reality (VR) is a realistic and immersive simulation of a virtual environment, experienced through interactive software and hardware. VR technology is available to the Princeton University community at the Stokes Library in Wallace Hall.
THE IMPACT OF ELECTRONIC TOLL (E-TOLL) SYSTEMS IMPLEMENTATION ON THE REPORTING QUALITY OF ACCOUNTING INFORMATION

The implementation of Systems Electronic Toll (E-Toll) is a development of the internal control structure due to the growing business scope. The background of this research was to determine how the impact of the E-Toll implementation of each variable reader machine tap e-Toll, settlement monitoring tools, bank server, dan R/K bank on the reporting quality of accounting information produced. This study aims to determine the impact of E-Toll implementation on the performance and level of user satisfaction. The method used in this research is quantitative analysis by describing the data obtained from the questionnaire of the employee. The results of this study stated that the e-Toll reader tap machine, settlement monitoring tools, bank servers, and R/C banks had a positive impact on the reporting quality accounting information.
Research for Pre-Feasibility Study of E&amp;amp;P Project

This study clarified discussion points and the suitability of some evaluation items for the pre-feasibility study of an E&P project. And necessary consideration factors were also derived considering both equality with the other projects and specificity of E&P project. This review will support the organization of a proper evaluation system and the implementation of a pre-feasibility study system for increasing the E&P project‘s efficiency. By considering a governmental financial management and the financial soundness of a state-owned company, we discuss the use of the pre-feasibility study as a supplement system to improve the efficiency of the E&P project.
MACHINE LEARNING-STRUCTURAL EQUATION MODELING ALGORITHM ON ONLINE SHOPPING CUSTOMER SATISFACTION MEASUREMENT

Purpose-The purpose/aim of this empirical research was to know the impact of ease of use, service, convenience, reliability and security on online customer satisfaction. Further, to investigate the role of reliability and security on online customer satisfaction. There are three categories of variables mainly influencing on online customer satisfaction. They are 1.Control variables: gender, age, education, service and income. 2. Main variables: ease of use, service and convenience. 3. Interaction variables: reliability and security. Design/Methodology/Approach: Using a structured closed ended questionnaire to collect the data from 400 respondents. The questionnaire validated with pilot study followed by standardized loaded factors validated through confirmatory factor analysis and model fit was validated through GFI, AGFI, CFI and TLI >0.90. Researcher applied hierarchical regression analysis to see the impact of moderator on customer satisfaction. Findings- The outcome of the research proved that, ease of use, service, convenience, reliability and security have shown significant positive impact on online customer satisfaction followed by the moderating variables: security and reliability strengthened in such manner which leads to high customer satisfaction. The factor analysis also proved through standardized loadings with good model fit. Research implications- The outcome of the research can be generalized under any circumstances, situations and conditions. The proposed model was useful to understand online customer satisfaction level. In fact, the research was strengthened through literature review. Social implications- present study can be useful to judge the pulse of the online customer. Originality/value- This study provides new insight to the readers, which has not been designed earlier to understand the online customer satisfaction level. Paper type- by nature it is a research paper.
THINKING ALOUD PROTOCOL FOR SMART TRANSLATION

A language is an important tool in communication. To produce a smooth relationship between countries that have different languages, the English language functions as Lingua Franca. To understand the information in English, a good understanding is needed. Being able to translate English texts is one of the basic forms of understanding itself. Unfortunately, numerous English language learners; from junior high schools to university levels, are still experiencing problems in this translation. This study aims to uncover the strategies of students in translating English texts into Indonesian by using the Thinking Aloud Protocol method. The subjects of this study were students in semester V (five) who had gone through Structure I to Structure IV subjects. This research was conducted in the scope of the University of Muhammadiyah Palu. From this research, the most widely used translation strategy is done by students as well as the prototype of the translation process to produce good translations
Vaughn College Library: Engineering and Technology: Websites

Here you'll find websites for Engineering and Technology professional associations as well as other key websites.
Implemetasi Algoritma Base64 dan Algoritma Discrete Consine Transform Dalam Penyisipan Gambar Terenkripsi Pada Audio Digital

Types of multimedia that are developed and known by all groups, namely photos, videos, images, moving to images can be inserted into audio and so forth. Piracy of information or data in the type of multimedia that is confidential is often revealed to the public and known to the public. Based on these problems, it is necessary to secure information in the form of images using Cryptography. Cryptography is knowledge or skill that observes and examines how to encrypt images that are in the owner's secret to remain safe and cannot be duplicated which is guaranteed and confidentiality is maintained. Based on these problems we need a base 64 algorithm that has an encryption process to be able to help secure an image or information that is confidential. DCT algorithm is able to liken an image or information with very strong security
LibGuides: A Scholar's Guide to Pandemics: Introduction

COVID-19 is a new virus but the phenomenon of pandemics, and epidemics, has long been a fact of life. This guide offers multidisciplinary resources and subjects throughout the university curriculum. Take this opportunity to study what we have long known a
Facebook and a Fair Trial: Caution, Challenge and Contradiction

This article explores the often fraught intersections between social media, fair trial principles and community engagement with high-profile crimes. Specifically, a detailed analysis is undertaken of the Facebook response to the arrest of Adrian Ernest Bayley for the murder of Ms Gillian (Jill) Meagher in Victoria, Australia in 2012. As one of the first Australian crimes to receive a significant social media response, this research provides empirical insights into the dynamic and evolving relationship between social media, the community and criminal trials. By drawing on a critical discourse analysis of over 3,000 comments on the R.I.P Jill Meagher Facebook page, this article identifies and critiques a ‘Discourse of Challenge’ in which digital communication enabled the reinterpretation of legal principles. Further, this article provides empirical insights into the meaning-making processes of Facebook discourses and focuses on how fair trial principles are contested on Facebook in novel and, at times, contradictory, ways.&#x0D; &#x0D;