Reviewerly/exHarmony huggingface dataset:
Securing Data Where It Makes Sense: In-Memory Encryption

Memory encryption has been an active research area in the recent decade. While the initial focus was on securing data in pervasive applications, recent efforts by Intel and AMD has brought memory encryption to general purpose processors as well. This has been mainly due to new threat models which necessitated securing real-time OS data inside RAM. The existing approaches use dedicated crypto engines that act as a buffer between the memory and the processor. In this study, we propose a novel approach where we combine a new paradigm in computing, in-memory processing, and cryptography to secure data inside the memory. We propose an in-memory encryption engine capable of utilizing processing capabilities of dynamic random access memories. We demonstrate the viability and efficiency of our proposal by implementing NSA cipher SIMON on our engine and show that encryption of a 1~Gb DRAM module can be completed in under 20~ms.
A SECURE AND ENHANCED PUBLIC KEY CRYPTOSYSTEM USING DOUBLE CONJUGACY SEARCH PROBLEM NEAR-RING

Adv. Math. Sci. J. Vol. 9, No. 3 Open Access A SECURE AND ENHANCED PUBLIC KEY CRYPTOSYSTEM USING DOUBLE CONJUGACY SEARCH PROBLEM NEAR-RING V. Muthukumarn, M. Adhiyaman and D. Ezhilmaran DOI: https://doi.org/10.37418/amsj.9.3.85 Full Text Abstract Abstract The recent advancement in modern communication systems leads to the requirement of secure cryptosystems for efficient … page AMSJ9-N3-85 Read More »
Robotic Movement Based on Color Detection

In recent times, to reduce human labor robots are being manufactured and used in various fields. Robots are the intelligent vehicles that are designed to work according to the instructions given to them by their creators. Some of these robots are also made automatic. The aim of the paper is to design and implement a robot to perform the act of monitoring as well as detecting specific colored objects in its path. This robot is generally an autonomous intelligent vehicle that recognizes the color of the object in its path and reacts according to the users instructions. While on its motion, the camera mounted on the robot helps for live video streaming so that operators can see the route of the robot. Integration of the robot can only be measured when it can overcome the obstacles in its route efficiently and reach its destination autonomously.f these robots are also made automatic. The aim of the paper is to design and implement a robot to perform the act of monitoring as well as detecting specific colored objects in its path. This robot is generally an autonomous intelligent vehicle that recognizes the color of the object in its path and reacts according to the users instructions. While on its motion, the camera mounted on the robot helps for live video streaming so that operators can see the route of the robot. Integration of the robot can only be measured when it can overcome the obstacles in its route efficiently and reach its destination autonomously.
2019 Indonesia Presidential-Vice Presidential Debate in Corpus Linguistics Perspective

The present paper carries out a corpus linguistic analysis of the first debate of 2019 Indonesia presidential election. The study compared the speech of presidential candidate pair number 1, JW and MA, and number 2, PS and SSU, in the debate in terms of lexical diversity and linguistic features. The research employs a mixed-method research design by using two corpus technical analyses, i.e. type/token ratio and keywords. Results show that PS spoke the most, while MA spoke with the most varied vocabulary. The study also found that foreign words from Arabic in the keywords of JW, PS, and SSU are generally used to show their belief as well as to embrace the Indonesian Muslim communities. However, the Arabic words used by MA tend to show his identity as a Muslim cleric, reflecting his in-depth understanding of Islam. Unlike the Arabic word usage, foreign words from English are used more for a practical reason and to emphasize arguments, particularly by JW and PS. Additionally, the study reveals that from the lexical word-class distribution, JW tends to give more focused information and entities, while PS tends to offer more explanations to present information. All things considered, the present writers argue that corpus linguistics is an essential method to investigate actual patterns of language used by politicians to interpret further. All in all, the present research is supposed to give a methodological contribution to the study discussing the relation between language and politics.
Mobile apps for neuroscience

This book chapter will provide the reader with an overview of recent developments in mobile device technologies and development opportunities, focusing on iOS and Android. It will offer an overview of scientific evidence regarding mobile clinical decision support systems and elaborate on upcoming areas for innovation such as machine learning (ML) and augmented reality (AR).
STRONGLY VERTEX MULTIPLICATIVE MAGIC GRAPHS

Adv. Math. Sci. J. Vol. 9, No. 4 Open Access STRONGLY VERTEX MULTIPLICATIVE MAGIC GRAPHS R. Jeyabalan and G. Kumar DOI: https://doi.org/10.37418/amsj.9.4.78 Full Text Abstract Abstract A graph *** QuickLaTeX cannot compile formula: G=(V;; E) *** Error message: Cannot connect to QuickLaTeX server: cURL error 60: SSL certificate problem: certificate has expired Please make sure your server/PHP settings allow HTTP requests to external resources ("allow_url_fopen", etc.) These links might help in finding solution: http://wordpress.org/extend/plugins/core-control/ http://wordpress.org/support/topic/an-unexpected-http-error-occurred-during-the-api-request-on-wordpress-3?replies=37 with {textit p} vertices and {textit q} edges is claimed … page AMSJ9-N4-78 Read More »
Noise Reduction Using OBNLM Filter and Deep Learning for Polycystic Ovary Syndrome Ultrasound Images

A hybrid speckle noise reduction method is proposed in this paper, which is a combination of OBNLM and deep CNN filters for better accuracy. Now-a-days polycystic ovary syndrome ultrasonic images be effecting through speckle noise. Speckle noise is the greatly affected noises in the ultrasonic images furthermore it is not easy to remove. In this paper, we are eliminating this speckle noise, which is the pre-processing step in image processing. The first step in pre-processing, which employs OBNLM (Optimized Bayesian Non-Local Means) filter and later CNN (Convolution Neural Networks). Here OBNLM filter is applied first and its output is given as input to CNN, generates a denoised image. The OBNLM provides a very strong filter for despeckling of Ultrasound images. CNN is an efficient method in deep learning, used also for noise reduction in ultrasound images. This work generates a denoising solution using the adaptive OBNLM filter in combination with the deep learning technique, which yields high performance. The performance of OBNLM, CNN and hybrid filter is measured using PSNR and SSIM.
Using Video Critics Strategy in Developing Students’ Writing

This study was aimed to see the writing ability development at SMA Negeri 11 Sidrap. The objective of this study is to get the empirical data of the differences between students’ score of writing test who were and were not taught by using Video Critics strategy. The population of this research consists of 56 students. The sample of the research were class XI IPS as the experimental group which consists of 17 students and XI MIPA as the control group which consists of 39 students. The research method used in this research was quasi-experimental with nonequivalent control group design. The data was collected through pretest and posttest. It aimed to know whether Video Critics strategy in teaching writing can develop students’ writing ability.
Generation of Realistic Synthetic Validation Healthcare Datasets Using Generative Adversarial Networks.

Assurance of digital health interventions involves, amongst others, clinical validation, which requires large datasets to test the application in realistic clinical scenarios. Development of such datasets is time consuming and challenging in terms of maintaining patient anonymity and consent.The development of synthetic datasets that maintain the statistical properties of the real datasets.An artificial neural network based, generative adversarial network was implemented and trained, using numerical and categorical variables, including ICD-9 codes from the MIMIC III dataset, to produce a synthetic dataset.The synthetic dataset, exhibits a correlation matrix highly similar to the real dataset, good Jaccard similarity and passing the KS test.The proof of concept was successful with the approach being promising for further work.
SOME DIDACTIC OPPORTUNITIES OF APPLICATION OF MOBILE TECHNOLOGIES FOR IMPROVEMENT IN THE EDUCATIONAL PROCESS

In this paper, on the basis of the analysis of the experience of using mobile devices as a learning tool described in the scientific, pedagogical, methodological and technical literature, some didactic possibilities of their use in the educational process are revealed and their descriptions are given. The possibilities of mobile technologies to support the traditional educational process (both during the lesson and during homework) in educational institutions to improve the quality of education are discussed.The issues of using multimedia educational web resources, quick access to educational sites and other educational resources, the use and development of personalized training materials for mobile communication platforms, the use of mobile technologies in the educational process of educational institutions through the use of modern communication channels are being studied. The main advantages and some disadvantages of the use of mobile learning in education are analyzed.
Research on Gymnasium Construction Based on Green Environmental Protection Comprehensive Energy Saving Technology

Abstract In the process of rapid global economic development, people’s living standards have improved. People pay more attention to the quality of life and the role of sports activities. Therefore, the construction of urban gymnasiums will be one of the important construction activities of the city. The construction of the gymnasium can improve the functions of the city to a certain extent. It is a comprehensive systematic project. The construction of the urban gymnasium must be coordinated with the urban gymnasium construction plan, and the resources in the city must be used reasonably. The energy-saving green stadium environmentally friendly building materials were used for the project construction, and very good energy conservation and environmental protection effects were achieved, which meets the needs of society and urban development. This article mainly discusses the gymnasium construction planning of the city gymnasium, and analyzes the energy-saving design, which is of great significance to the overall gymnasium construction planning of the city.
RANKING OF WEBSITES CREATED WITH THE USE OF ISOWQ RANK ALGORITHM

The purpose of this article is to present the new ISOWQ Rank ranking algorithm for the technical assessment of website quality. For evaluation purposes, the algorithm takes into account the IT technologies used on a website, compliance of the source code with the applicable standards and the structure of the text content. The paper also includes the results of comparative ranking algorithms.
USE OF JIGSAW MODEL IN IMPROVING READING UNDERSTANDING IN FBS UNIMA ENGLISH STUDENTS

This research intends to describe the use of Jigsaw model in improving reading understanding. This research can be classified into quasi-experimental research using the pre-test and post-test design. The subject of this research was class D of the second semester students majoring in English Education, FBS, Unima 2018/2019 consist of 31 students as experimental class and E class which consist of 32 students as the control class. The result show the use of jigsaw model in English reading comprehension is more effective than learning using conventional media. This is evidence by the value of the weight of effectiveness of 14.36%. From this result, the research conclude that the use of Jigsaw model can improve students’ reading understanding. Keywords: Jigsaw, model, improve, understanding
A Study on the Education and Evaluation of Korean Language Culture for Japanese

In this study, I presented a specific class case for the Korean language culture education method in Korean language education for Japanese learners and a language culture evaluation method in the TOPIK. First, in the Korean class application, 1) OX quiz to prevent misuse by literal translation, 2) a new year greeting education using a scenario, 3) a new word education using a speed quiz game, 4) Busan dialect education using the movie 'Friends', 5) demonstration it suggested teaching methods such as non-verbal behavior education when making promises, and comparison of non-verbal behavior between Korea and Japan through capturing TV scenes. In addition, to reflect the TOPIK, questions related to Korean language culture corresponding to the TOPIK II were developed, and in addition to the existing reading fingerprint format, various forms such as conversation format and blog format were proposed.
Eye Movement Analysis of Interactive Interface of CRH High-Speed Train Braking Test

Playing a crucial role in the start of high-speed train driving, braking test is a necessary task to be conducted before train departure. In the train braking test, a driver needs to make a quick response according to a hint displayed on the human-machine interactive interface screen and then operate a driver’s master handle to the designated position. This paper makes a braking test for the driver’s operations of a Chinese CRH train based on the application of an eye tracker. Then, through analysis of eye movement data involved during the interaction, vision characteristics of the interaction are illustrated. The research result is of referential values to design optimization of man-machine interaction interfaces.
Sistem Pendukung Keputusan Penerimaan Bantuan Bedah Rumah Menggunakan Metode Weight Product (WP) Dan Simple Additive Weighting (SAW) (Studi Kasus : Desa Semuli Raya Kecamatan Abung Semuli)

Semuli Raya Village in the process of selecting home renovations only relies on data collected and does not use criteria or methods, but instead uses conditions obtained from prospective recipients of house renovation assistance, so as to determine who is entitled to receive assistance the results are not in accordance with reality which exists. Citizens who have the right do not get aid as they should, whereas the rich get help. Based on the above problems, a decision support system is needed to help determine the recipient of home improvement assistance using the Weight Product (WP) and Simple Additive Weighting (SAW) methods and using assessment criteria, namely, housing conditions, home status, employment, monthly income and number of occupants
Technology of Frequency Resonance Processing of Satellite Images: Results of Testing on gold deposits and areas of gold ore occurrences

Summary The results of testing mobile and direct prospecting technology of frequency-resonance processing of satellite images and photo images at large gold deposits Boddington (Australia) and Muruntau (Uzbekistan), as well as at areas of gold ore occurrences in Australia and Ukraine, are presented. At a large Boddington deposit, responses from gold were recorded up to 2600 m, and at the largest Muruntau, up to 2000 m. Within the Ilkurlka ring structure (Australia), gold ore mineralization intervals were recorded from the surface up to 2000 m. Within a prospecting site in Ukraine, responses from gold were obtained from intervals of 49–99 m and 590–650 m. All examined objects are located in the contours of deep channels (volcanoes) with roots at 470 and 996 km, filled with granites. In the contours of the Yarrabubba crater, responses at gold frequencies have not been recorded. Responses from gold were recorded only in granite volcanoes with roots at a depth of 470 km. The research materials, presented in the report, as well as those conducted earlier, will allow us to formulate statistically substantiated recommendations of a methodological nature for the search for fuels and ore minerals.
Green Cloud Computing: Energy Efficiency and Management

As cloud computing services become popular, it is important for cloud service providers (CSPs) to ensure their duty to society by reducing the impact on the environment due to their operations. CSPs use higher amounts of energy because of the large power demand to run datacenters (DCs). The transient development of cloud computing models has led to the establishment of multiple DCs worldwide. Energy efficiency of ICT and CO2 emissions is a major issue in cloud computing. Scientists are constantly working on this issue to find a solution. Among other options, there is well-known virtualization that is accepted by IT organizations to reduce CO2 emissions and power usage. The basic goal of this paper is to present important methods of VM placement used for measurement of PUE in distributed DCs and with varying carbon emission rates. Finally, we present an analysis of several open stack techniques with ACO, DVFS, ECE, and Two-phase Carbon Aware techniques.
DIGITAL SUPPLY CHAIN: LEADING TECHNOLOGIES AND THEIR IMPACT ON INDUSTRY 4.0

In the era of rising technological innovations all parts of economy are affected by a tremendous amount of new, helpful and after all absolutely necessary business solutions. Supply chain management is one of the leading pioneers in the field of technological implementation among other industries. The need for new solutions is inevitably rising and demand for modified and better business models is an every- day struggle. New technological solutions have direct implications on servicing a variety of members in supply chain. Adoption time has been in positive correlation with the quantified amount of improvement. Improvement in manufacturing cost effectiveness, communication, procurement process, lead delivering time, final customer experience etc. are just some of positive final results in terms of gaining greater profit by using new technologies in business. For example, some research study showed that few companies even managed to reduce their document manipulation error to quote of zero by using blockchain based database. The aim of this research is to extract the leading innovative technologies, overview their possibilities of implementation and show the final effects on the members of supply chain. Further research can be focused on the deeper analysis of effects of each of the listed technology solutions and their practical implementation. Managing of interconnected entities and processes within supply chain in industry 4.0 is more than a challenge.
Synthesis and Characterization of Gold Nanoparticles Using Trisodium Citrate as a Reductant

This research is an experimental study that aims to determine the characteristics of gold nanoparticles (Au-NPs) synthesized using trisodium citrate as a reducing agent. 0.4 mM HAuCl4 solution was synthesized using Na3C6H5O7 to convert Au3+ to Au0 with several variations of the reducing agent concentration, 3.5%; 5%; 6.5% and 8%. Determination of reaction time was measured using a UV-Vis spectrophotometer with time variations of 1, 5, 15, 30 and 45 minutes. Characterization of the size and lattice of Au-NPs crystals using X-Ray Difraction (XRD) and morphological characterization using Scanning Electron Microscopy (SEM). The results of the characterization, Au-NPs were produced blackish brown in color, and yields were 66.13%, 89%, 59.63% and 50.30% respectively for trisodium citrate reductant concentrations of 3.5%; 5%; 6.5% and 8%, with an average Au-NPs size of 46.97; 19.06; 50.03 and 39.68 nm, Face Centered Cubic (FCC) Crystal lattice and have a homogeneous morphology.
EPOCH “SMART”. PROBLEMS, FEATURES, PROSPECTS

SMART technology is a modern approach to setting working goals, which allows you to summarize all available information at the initial stage, identify acceptable deadlines, determine the adequacy of resources, and provide all participants with clear and specific tasks
The Effects of Export Companies’ Competencies and Government Assistance Programs on Export Performance: Focusing on the Effectiveness of Government Assistance Programs

Purpose - This study empirically analyzes the determinant factors as cost leadership, marketing, technology, management, and responsive capabilities that influence SMEs’ export performance, and examines the efficacy and the effectiveness of policy support program of the government. Design/Methodology/Approach - A total of 438 observations of secondary data was collected from financial data sources, along with 138 responses of survey data from exporting companies which have participated in government support programs. Based on the research model, the main effects and interaction effects were tested, together with the participating effect of government assistant programs using effectiveness evaluation methods excluding selection effects. Findings - Both firm capabilities and government support appeared to influence export performance satisfaction. Depending on the exporting market and exported products, the significant competency and effective government assistance programs appeared differently. Using Heckman’s two stage model, participating firms were found to have significantly higher debt ratio, lower total capital and higher gross margin than non-participating firms. Research Implications - The results provide specific, practical guidelines to managers and policymakers for achieving sustainable performance through selecting and supporting SMEs.
Greeting, Function, and Music: How Users Chat with Voice Assistants

Voice user interface has become a commercially viable and extensive interaction mechanism with the development of voice assistants. Despite the popularity of voice assistants, the academic community does not utterly understand about what, when, and how users chat with them. Chatting with a voice assistant is crucial as it defines how a user will seek the help of the assistant in the future. This study aims to cover the essence and construct of conversational AI, to develop a classification method to deal with user utterances, and, most importantly, to understand about what, when, and how Chinese users chat with voice assistants. We collected user utterances from the real conventional database of a commercial voice assistant, NetEase Sing in China. We also identified different utterance categories on the basis of previous studies and real usage conditions and annotated the utterances with 17 labels. Furthermore, we found that the three top reasons for the usage of voice assistants in China are the following: (1) greeting, (2) function, and (3) music. Chinese users like to interact with voice assistants at night from 7 PM to 10 PM, and they are polite toward the assistants. The whole percentage of negative feedback utterances is less than 6%, which is considerably low. These findings appear to be useful in voice interaction designs for intelligent hardware.