Reviewerly/exHarmony huggingface dataset:
Practice-Oriented Technologies in the Educational Process as the Basis for the Economic Development of Society

The research objective was to determine the main vector of education development based on the analysis of Russian and foreign experience in using various methods of active learning. This vector is directed at a stable interaction between the real sector of the economy and the state in the educational process in order to improve the quality of education in general. The modern digital environment of higher education should create conditions for comprehensive development and new opportunities for students to receive high quality education based on modern practice-oriented technologies. Modern society needs education to preserve its fundamental nature. However, education reforms change its content, e.g. by reducing classroom hours, focusing on independent learning, etc. The article describes the main problems and prospects of personnel training in higher education and the necessary competences of all participants of educational process aimed at sustainable economic development of society in the context of global digitalization. The authors developed and described the mechanism of interaction between the participants of system science – business – production – state – society, integrated in the educational process. The mechanism uses practice-oriented technologies in order to increase the competitiveness of university graduates in the labor market and the quality of education in general. This mechanism will help to involve students in the educational process and face the modern realities of changing society, whose main priority is to adapt to rapidly changing working conditions.
Racial Classification from Face

FACE is one of the major sources of social information like race, age, gender etc. At different levels of classification, prediction and identification face plays a major role, apart from other parts of the human body. As per literature Race is a form of classification for categorizing human beings in to groups based on geographic boundaries, physical appearances(including face), ethnicity and social status. In this paper we are trying to focus on different facial datasets those are currently available without any cost (but with licensing restrictions). Here, we are also representing our study of different works carried-out related with the racial classification and related topics.
Configuration Samba Server File Sharing

Samba is an application that enables a network administrator to work in an open environment with full flexibility and freedom in terms of configuration, setups and other selection regarding hardware and system elements. In other words, Samba was designed to remove hurdles to interoperability.
Performances Assessment of MOMA-Plus Method on Multiobjective Optimization Problems

This work is devoted to evaluate the performances of the MOMA-plus method in solving multiobjective optimization problems. This assessment is doing on the complexity of its algorithm, the convergence and the diversity of solutions in relation to the Pareto front. All these parameters were evaluated on non-linear multiobjective test problems and obtained solutions are compared with those provided by the NSGA-II method. This comparative study made it possible tohighlight the performances of MOMA-plus method for solving non-linear multiobjective problems.
DESCRIPTIVE ANALYSIS OF SOCIAL MEDIA ADOPTION AND UTILIZATION IN AACSB SCHOOLS

Technology is constantly evolving and its advancements are taking us to new peaks across the globe.Social media networking has made a remarkable impact, connecting people around the world, making a difference in every field such as business, education, healthcare, and so on.Specifically, in the case of universities, there is a radical increase of social media usage by the millennial generations for gathering information about the university brand, technology, and education.The purpose of this study is to measure the adoption and utilization of social media with respect to various characteristics of universities.To that end, data is collected from the AACSB International website and is subject to descriptive analysis.ANOVA and regression analysis used to observe the university trends in adopting four social media platforms, specifically, Facebook, Twitter, LinkedIn, and Instagram.The results show that the public universities in both business & accounting sectors adopted social media significantly more than other groups, and that LinkedIn is the predominant communication social network among such universities.Furthermore, the ANOVA and regression analysis predict that university characteristics like region, type, level, and program show similar levels of significance on Facebook, Twitter, and LinkedIn while enrollment and operating budget show significant impact on the number of likes or followers respectively.
A Framework for Copyright Protection with Digital Watermarking using Cryptography and Steganography

Information security has become the most needed and challenging problem in this internet based era as most of the communication takes based as digital files across the network. One of the ways to effectively secure the information is to make the information hidden that is being shared. With the mammoth improvement in technology, almost all the information that is being shared is digitized and digital images is one such digital file that is being shared more commonly. Digital watermarking is an effective way of protecting the ownership of the images. This paper aims to improve the information hiding scheme in digital images for sharing information and protecting the ownership of the file by proposing a new methodology to hide the information being shared using both cryptographic and steganographic methods. This paper also compares the performance measure of the proposed methodology with various existing methodologies.
Integrated ARM big.Little-Mali Pipeline for High-Throughput CNN Inference

&lt;div&gt;State-of-the-art Heterogeneous System on Chips (HMPSoCs) can perform on-chip embedded inference on its CPU and GPU. Multi-component pipelining is the method of choice to provide high-throughput Convolutions Neural Network (CNN) inference on embedded platforms. In this work, we provide details for the first CPU-GPU pipeline design for CNN inference called Pipe-All. Pipe-All uses the ARM-CL library to integrate an ARM big.Little CPU with an ARM Mali GPU. Pipe-All is the first three-stage CNN inference pipeline design with ARM’s big CPU cluster, Little CPU cluster, and Mali GPU as its stages. Pipe-All provides on average 75.88% improvement in inference throughput (over peak single-component inference) on Amlogic A311D HMPSoC in Khadas Vim 3 embedded platform. We also provide an open-source implementation for Pipe-All.&lt;/div&gt;&lt;div&gt;This paper is submitted to IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD) as a transaction brief paper (5 pages).&lt;/div&gt;
An Efficient FIR Filter Design using DA based Speculative Residue and Reverse Computation RNS system

Finite impulse response (FIR) filter is prominently used in many digital signal processing (DSP) systems for various applications.In this paper, we present high-performance RNS based finite impulse response (FIR) filters design for ECG signal classification.In general, the residue number system (RNS) gives significant metrics over FIR implementation with its inherent parallelism and data partitioning mechanism.But increased bit width cause considerable performance trade-off due to its residue computation and the reverse conversion.In this paper optimized Residue Number System (RNS) arithmetic is proposed which includes distributed arithmetic based residue computation during RNS multiplication followed by speculative delay optimized reverse computation to mitigate the FIR filter trade-off characteristics with filter length.The proposed RNS design utilizes built-in block RAMs available in FPGA devices to accomplish the reverse conversion process.A distinctive feature of our FIR filter implementation with core optimized RNS is to minimize hardware complexity overhead with the improved operating speed.Initially fetal ECG signal detection is carried out to validate the functionality of FIR filter core and FPGA hardware synthesis is carried out for various input word size and FIR length.From the experimental, it is proved that the trade-off exists in conventional RNS FIR over filter length is narrow down along with considerable complexity reduction with our proposed optimized RNS system
Aplikasi Edukasi Pemecahan Masalah pada Vulnerability Server Berbasis Web

This research is purpose to design a virtual machine to simulate cyber attacks and find out how to design and build a virtual machine with a security gap that has been designed, so that it is used as education for web and server developers. The method used in building this system is the waterfall method which starts from designing a system to make it easier to build a system and then collecting data using observations to students of informatics engineering and computer engineering. The results of this system show that the system is able to run well, the guide for working on questions can be understood by the player, the player can inputs flags without problems, the clues provided are understandable and the educational videos provided are easy to understand. From the explanation aboce, the researchers concluded that this system can provide questions and education well
Book review

Bridgeford, T., &amp; St.Amant, K. (Eds.), (2015). Academy-industry Relationships and Partnerships: Perspectives for Technical Communicators. Amityville, NY: Baywood Publishing Company.
Liver and Tumor Segmentation Techniques for CT Abdominal Images

Image segmentation is one of the important step in digital image processing where the images are partitioned into different segments based on several properties like brightness, contrast, intensity and texture. Image processing includes several steps among which image segmentation is the difficult task. Accurate segmentation is the fundamental step in digital image processing. Segmentation can be performed manually, but as it is a tedious task, automatic segmentation techniques which gives more accuracy has to be found. Many recent segmentation techniques for liver image segmentation are discussed here. Some of the techniques to segment liver from CT scanned abdominal image and to segment tumor from the liver are discussed. The main objective is to highlight various techniques which can aid in developing a novel segmentation technique.
EFEKTIFITAS METODE DEMONSTRASI DALAM MENINGKATKAN PEMBELAJARAN PUISI PADA SISWA

This study aims to describe the effectiveness of the demonstration method in improving poetry learning in class X SMA Negeri Sawa, Lilialy District, Buru Regency. This research is descriptive quantitative. The design or model used is experimental research, pre-experimental type. The population of this study were all students of class X SMA Negeri Sawa, amounting to 77 people who were divided into three classes. The sample of this research was 26 people. Sampling was done by purposive (purposive sample). In this study only one class was sampled. The results showed that the demonstration method was effectively applied in improving poetry reading in class X SMA Negeri Sawa. This can be seen in the value obtained by students before being given treatment which is 5.38 and has increased after being given treatment in the form of a demonstration method, namely 7.07. The effectiveness of this method is also known based on the results of the t test calculation. The comparison of the results of the pretest and posttest ability shows that the t value is 32.05&amp;gt; the t table value of 2.06. In accordance with the results of this study, the following suggestions are proposed: (1) Teachers should maintain their teaching methods, including in choosing teaching methods in reading poetry, namely demonstration methods so that the results can be better. (2) Schools should complete learning facilities including the provision of literary books, so that students' interest is increasingly motivated towards existing literary works. Key words : Method, Poetry, Efectivity
Efficient Multiple-Output Regression for Streaming Data

An efficient multiple-output Regression is an important machine learning technique, this technique is used for modeling, forecasting, and compressing multi-dimensional data streams. The proposed system consists of an efficient multipleoutput regression method for data streams, called E-MORES. E-MORES have ability to gain the structure of the regression coefficients that can be used to provide the model's continuous improvement. E-MORES can dynamically learn the structure of the residual errors that can be used to improve the prediction accuracy; it also leverages the structure of residual errors to increase prediction accuracy. This proposed system also introduces Random Forest, Decision Tree to predict (classify) the next event type that will happen during the modulation time, that is increasing, continuing, reducing, and splitting and ARIMA model is based on the idea that the information in the past values of the time series can alone be used to predict future values. The result of the random forest and the decision tree provide better accuracy than the other. In addition to that, the system also presents modified covariance matrices and forgetting factors. Covariance matrices are used to extract needed data for the system and the forgetting factor is used to weight the sample data. it also used to measure forecasting error and covariance matrices make use of Eigenvalue decomposition algorithm. Experiments execute on two synthetic datasets and three real-world datasets that validate the effectiveness and efficiency of EMORES.
The Importance of Environmental Materials for Learning Indonesian in Schools

Based on the results of the author's research above, it can be concluded that environmental material in Indonesian language learning in schools is very important. This can be seen from the answers of respondents who stated positively about the importance of environmental materials in Indonesian. With the existence of environmental material will help in the learning process. In addition, students will increasingly protect and preserve their environment, foster a sensitive attitude to the situation and conditions of the surrounding environment and build honest, disciplined, empathetic, and optimistic and religious characters. This paper aims so that the community and students can protect the environment.
Introduction

This book is mainly aiming to demonstrate the application of multidisciplinary design optimization theory in the design of large complex engineering systems like deep sea human occupied vehicle (HOV). As an important phase of the lifecycle of an engineering project, engineering design means the activity to provide the design document and drawing base on solid technical calculation, evaluation and estimation for the implementation of the engineering project. Engineering design is an important process to conduct the overall plan and intention of implementation of the project, it also can be considered as the way to turn science/technology into actual productivity.
Dreamsound: Deep Activation Layer Sonification

Deep learning (DL) in audio signal processing has received much attention in the last four years, and it is still a growing field. Some attempts were made to translate deep networks from image to audio applications, and we discuss some of the issues that arise. In the present paper, we present DreamSound, a creative adaptation of Deep Dream to sound addressed from two approaches: input manipulation, and sonification design. Our chosen model is YAMNet, a pre-trained deep network for sound classification. We present the original Deep Dream activation maximization function in relation to three filter-based creative variations that were implemented. We find that more interesting results are achieved with this filter-based approach, but that there is still room for experimentation.
A New Color Image Encryption Algorithm With Three Stage Shuffling And Xor Diffusion

The world has developed far beyond our expectations with the essence of technology, which has a profound effect on recent ways of data transmission. Data can be transmitted in many ways, but not so efficiently and securely as digital data. Imagery data is very vital these days considered these are used everywhere around the world. This paper mainly emphasizes on the prime issue i.e. “making the system more secure”. Therefore securing the image is a principal factor of this paper as the present issue that is ongoing now with data theft which is predominantly in an image. So, this paper mainly focuses on how to proliferate the sensitivity to the attacks and securing the image which is an integration of different algorithms of diffusion and shuffling based on chaotic logistic maps. A new approach for the proposed algorithm was generated. A few basic examinations like NPCR (Number of Pixel Change Rate), Histogram investigations, UACI (Unified Average Change of Intensity) and PSNR (Peak Signal to Noise Ratio) are performed against various test images of size 256 × 256×3. Results obtained from the analysis endorses that it offers a high level of security. This proves the credibility for this algorithm for the future usage in the real world.
Securing Personal Data using Block chain in Autonomous Vehicle

Autonomous vehicles like Driverless cars are seen only in science fiction movies but in 2019 they are becoming a veracity and reality. People all around the world are excited to watch the driverless car in reality. Complete driverless car is still at an advanced testing stage. An autonomous vehicle promises to improve traffic safety while at the same time it must not be prone to hacking. Even though the existence of the autonomous car is in reality there is a possibility of hackers to hack the vehicle and retrieve the precious data. To stop this kind of hacking we propose a block chain technique that safe guards the data that is fed to the autonomous car during the manufacturing stage and this cannot be deleted without proper permission.
Reu Program In Telematics And Cyber Physical Systems: Sharing Strategies, Experience And Lessons Learned To Help Others

of computer systems, digital signal processing, embedded systems, in-vehicle networking, performance analysis of networking protocols, secure wireless communications, and privacy-protected vehicle-to-vehicle communications and simulation techniques.He has supervised a number of projects with Ford Motors and other local companies.
Studies On the Physico-Chemical Parameters of Bore Well, Well, Pond and Tap Waters in Kambarajapuram Village of Vellore District, Tamil Nadu (India)

Present study was aimed to see the water quality of pond water, well water, bore well water and tap water of Kambarajapuram village, Thiruvalam, Vellore district.Water samples for the present study collected in Kambarajapuram village were analyzed for physical parameters such as Appearance, Odour, Turbidity, Total Dissolved Solids (TDS) and Electrical conductivity mic mho/cm and chemical parameters such as pH, Alkalinity, Total hardness, Mg, Fe, Na, K, Mn, NH3, NO2, NO3, Cl, F, So4, PO4 and Tidy's test content using standard methods as given by APHA and their results are depicted in table 1.The acceptable limit mentioned in the text represents the standard for drinking water quality according to WHO.Among these four water samples compared, the TDS and electrical conductivity contents were seemed to be lower in pond water as 481 and 687 and in tap waters as 382 and 545 than other two waters of well water as 1128 and 1611 and bore well water as 1062 and 1517, respectively.Other parameters were found to be fluctuated.Result of the study indicated that pond and tap waters were seemed to be suitable for potable purpose.It is concluded from this study that the fluctuation of physico-chemical variations in all the four waters of Kambarajapuram village in Thiruvalam area showed suitable for irrigation and drinking purpose.In the present study, low level of fluoride content in a range of 0.02-0.04showed harmful effect for dental caries and its related effects as reported by many investigators.
Toshiba H2One for Singapore, deal to promote in Indonesia

Toshiba Energy Systems &amp; Solutions has delivered an H2One™ autonomous hydrogen energy supply system to SP Group in Singapore, which will be the first unit in operation outside Japan. Toshiba ESS has also signed a Memorandum of Understanding with state-owned electric company Perusahaan Listrik Negara (PLN) in Indonesia, for accelerated adoption of the H2One.
A Taxonomy for Mental Illness in Healthcare System

The rise in chronic diseases becomes strain in modern healthcare systems, some such disease is the mental illness. However, a solution is required to provide high quality care for the patient that is achieved through precision medicine. The precision medicine for mental illness disease is found to be taken care of because it treats the patient health by considering the individual profiles. The modern healthcare systems are encouraged to develop precision medicine to be used in the future and accessed anywhere in the world. This paper further provides a comprehensive survey of the state of art technologies of precision medicine approach for the mental illness disease. The aim of this research is to develop a taxonomy of mental illness disease by finding their symptoms along with genomes. The survey proposes a Medicare system should be developed for precision medicine considering deep learning techniques are the methodologies to classify the mental illness diseases for better accuracy and efficiency.
DETERMINATION OF HG IN HAIR OF MINERS IN ABU HAMMED CITY (INDISCRIMINATE MINING AREA) USING DIRECT MERCURY ANALYZER, SUDAN

The aim of this study was to evaluate the total mercury in hair samples of miners in Abu hammed (indiscriminate mining area) city using Direct Mercury Analyzer (DMA).Thirty samples were collected from different locations.Locations are divided depending on which type of work was done.Direct Mercury Analyzer (DMA) was used to determine the mercury in hair samples.The results show that the mean elemental concentration of Hg were 9.4 and 24 ppb in location one and location 2, respectively and standard division of value of 15 and 21 ppb in location one and location 2, respectively.
Cloud Based Television System using Virtual Machine

Cloud computing is a technology where a large amount of data of any format can be stored. Existing cloud television systems uses the user’s hardware such as graphics cards to render the videos. This makes the users with a low- grade graphics card difficult to render high quality videos which makes it difficult to watch videos of their required quality. The main aim in the paper is to use cloud computing in the field of television and to overcome the hardware usage of the user. This means that, without using the user’s graphics card the user can view the video in the required quality. For this the required video is rendered by the admin using virtual machines created by the admin to stream the video in that virtual machine and then render that video to the user. This method makes sure that the users graphics card is not used and this method works when the user has a good display unit. Video of any quality can be played by the low-grade user, once when the virtual machine is created. Therefore, after the virtual machine is created this problem of not being able to play the video in the required quality will be resolved. An internet connection is required to stream the video by the user. Using internet connection, the user can access both the admin site and also the virtual machine provided by the admin. Now the video can be played without buffering, and also without popping an error claiming that the video is not compatible.