Reviewerly/exHarmony huggingface dataset:
A Proposal for On-Site Customization Method on Facial Image Sensing

This paper proposes a novel method for on-site software customization to improve performance of facial image sensing. Facial image sensors have been increasingly useful in various fields such as the driver monitoring system in the automobile and the elderly person monitoring system in the lifestyle support service. However, it is difficult to perform facial image sensing with high accuracy in cases that a user has large scars on the face, or defects/deformations of the facial parts such as eyes, nose, and mouth. So, for example, the driver monitoring system doesn’t help very much in safe-driving. In such cases, it is necessary to customize the software for the facial image sensing on-site like a dealer shop. According to this presented proposal, only setting some simple parameters is needed, on the other hand, no relearning process on facial feature values is needed. So, it brings high performance of his/her facial image sensing as well as general. Also, it is shown how to collect the intended user’s facial images for the software customization and its accuracy validation by using the portable and user-friendly equipment. It is confirmed that the proposed method is effective by the experiments using actual facial images.
Pembinaan Bahasa Indonesia: Bagaimana Strateginya di Era Digital?

The Language and Book Development Agency (formerly the Language Development and Coaching Agency; the popular Language Body) has one vision, which is to increase the involvement of stakeholders in language and literature development. This paper aims to describe strategies for fostering Indonesian language in the digital age, specifically the use of social media and popular culture for the young generation (read: millennial generation) today. The research data collection method is an observation method with reading and note taking techniques. Data is taken from uploads in the form of writings published by the Language Board, the East Nusa Tenggara Language Office (NTT), and the West Nusa Tenggara Language Office (NTB) regularly on social media. The results showed that the Language Body, the NTT Language Office, and the NTB Language Office carried out a strategy of fostering Indonesian language by publishing writings in a number of rubrics, such as Our Words of the Week, Today's Terms, Spelling of Today, Did you know?, And Matching Terms. The five rubrics were published through a number of social media that can be accessed by the Indonesian people as Indonesian users.
A Topic Model for Repeated-Measures Data:an Application to Prescription Drug Data

A topic model is an analysis method that extracts latent topics from words of documents. Topic models are used in many fields nowadays, and they are used for marketing or medical data, where data of a subject are often repeatedly measured. Although topic models for longitudinal data have been already proposed, a topic model that can be applied to more diverse repeated measures data needs to be proposed. Then, we proposed a topic model for repeated measures data and evaluated its performance using real-world prescription drug data of a hospital.As a result, the proposed method showed superior performance to existing methods.
Semantic Annotation of Clinical Notes

This master thesis work outlines the approach chosen to manage the extraction of information from unstructured and non standardized Italian electronic health records of breast cancer summaries. Our problem translates into a Named Entity Recognition activity that faces completely original classes that do not overlap at all with those normally studied in the literature. Taking into account feasibility and speed, we propose a solution that applies natural language processing procedures to fine-tune a statistical model trained onto a narrow set of annotated data. In order to obtain a gold standard we collaborated with domain experts to manually annotate the data collection. We defined with clinicians an annotation protocol and, to reduce the necessary human effort and speed up the process, customized a user friendly web-based annotation tool.
Analysis of statistics of air crashes based on the study of many factor

The purpose of the study is to collect information about air accidents, collect and analyze statistics according to the criteria: aircraft model, air carrier, cause of the accident, and determining at what stage of the flight the accident occurred.
Algoritma Fisher-Yates sebagai Pengacak Soal pada Game Edukasi: Ruang Geometri

The perception of many students that mathematics is known to be difficult has made the experience negative, so that it has a general impact when adjusting to meeting material calculations. One of the basic materials of mathematics is geometry. This material has provided experiences for Elementary School (SD) children at grade 2 (two) to grade 4 (four). So, one solution is to play with Geometry Space. One of the android-based educational games that provides a media for self-adjustment in understanding material from Geometry. This study designed the Fisher-Yates algorithm in an educational game based on android which is named "Ruang Geometri". An algorithm that will help in randomizing the questions on the "Ruang Geometri" quiz. The purpose of this game is to change students' perceptions to be positive about mathematics because it is no longer a scary subject but fun. The results of this study are to recognize flat and space shapes in the form of educational games.Keywords:Mathematic; Educational Game; Fisher-Yates Algorithm.
Design and analysis of a kind of engineering information security protection system

This paper firstly briefly analyzes the general design principles and special requirements of a certain type of engineering information security protection system. This paper focuses on the analysis of information security technology prevention system design. This paper is based on modern information technology and fully adopts the latest development and concepts of information security protection technology; The design analysis process makes extensive use of computer, network security, automation, industrial control, and other technologies. The purpose of this paper is to make a certain engineering and weapon equipment information security protection system adapt to the special environment of information security, reliability, and confidentiality. Another purpose is to realize the particularity, advancement, practicability, and expansibility and of a certain type of engineering information security protection system.
A Weighted Solution to SVM Actionability and Interpretability

Research in machine learning has successfully developed algorithms to build accurate classification models. However, in many real-world applications, such as healthcare, customer satisfaction, and environment protection, we want to be able to use the models to decide what actions to take. We investigate the concept of actionability in the context of Support Vector Machines. Actionability is as important as interpretability or explainability of machine learning models, an ongoing and important research topic. Actionability is the task that gives us ways to act upon machine learning models and their predictions. This paper finds a solution to the question of actionability on both linear and non-linear SVM models. Additionally, we introduce a way to account for weighted actions that allow for more change in certain features than others. We propose a gradient descent solution on the linear, RBF, and polynomial kernels, and we test the effectiveness of our models on both synthetic and real datasets. We are also able to explore the model's interpretability through the lens of actionability.
EFFECT OF CLIMATE CHANGE ON RAINFALL PATTERN AND AGRICULTURAL PRODUCTION IN AFIKPO NORTH LOCAL GOVERNMENT AREA OF EBONYI STATE, NIGERIA

This research was carried out to generate information/data on rainfall distribution in the study area in the year, 2019. Prior to the issues of realities of global warming and subsequently climate change, farmers had substantial knowledge of the weather conditions of their immediate environment and with this planned their farming activities effectively with reduced losses of produce and other farm resources. But nowadays, this knowledge appears to have been eroded consequent on the influence of global warming and climate change. The field work was carried out in Afikpo North Local Government Area (LGA) of Ebonyi State. The LGA comprises of 12 Autonomous Communities (ACs) and out of these, ten (10) were randomly selected. Field Assistants (FAs) were needed for the field work and two (2) FAs were purposively selected from each of the selected ACs to assist in the field work. The data generated were analyzed using tables and descriptive statistics. The result of the field work, among others, showed that the rains now commence early in the year between the months of February and March and thereafter cease and start again in the month of May. The result also showed the absence of the usual double peaks of rainfall “double maxima”. The recommendations, among others, include establishment of weather stations in the localities to help in the generation of information on weather conditions for farmers use and farmers’ to construct water channels on the farms as source of irrigation.
Performance advancements of fuzzy controllers over conventional controllers carried out in matlab simulation environment

Abstract In this paper, we are used routine three term PID controller, fuzzy PID controller and FPI plus FPD controllers to test the performance characteristics of DC servo motor, modulus non-linear systems and square root nonlinear systems in MATLAB SIMULINK environment. We have developed analytical structures for fuzzy PID and FPI plus FPD controllers with the help of fuzzification, knowledge rule base and defuzzification methods. Simulation results are carried out and show the advancement of fuzzy controllers over conventional controllers in specificatons of rise time, delay time and settling time for DC servo motor, modulus and square root types of non-linear systems. Out of these three types of controllers, the experimental results conclude that the combination of FPI plus FPD controller gives the better results.
The Emoji Revolution: How Technology is Shaping the Future of Communication Philip Seargeant (2019)

The Emoji Revolution: How Technology is Shaping the Future of Communication Philip Seargeant (2019)
FACTORS CONTRIBUTING TO THE EFFICIENCY OF SELF-EDUCATIONAL ACTIVITIES OF UNIVERSITY STUDENTS

The study of the principles and approaches to the organization of self-educational activities in a university, the determination of its place in the process of professional training is one of the relevant topics of psychological, pedagogical and methodological research in the modern Russian scientific field. At the same time, such an aspect of the problem being studied as the development and justification of a complex set of factors contributing to the efficient organization of the self-educational activities of university students in the face of changing requirements of state standards and the development of modern professional education requires additional research. The article presents the results of a theoretical study of factors contributing to the efficiency of self-educational activities of university students. The first factor determining the efficiency of the self-educational activities of university students is the integrative nature of educational tasks. Students' self-educational activity, based on this approach, demonstrates efficiency when observing the following provisions: setting goals that involve an independent search for contradictions and identifying ways to solve them; development of a strategy of self-educational activity, taking into account the personality characteristics of the student and the level of his/her training; the goals of self-educational activities should be formulated in such a way that their achievement requires the student to use the full range of competencies acquired in the process of mastering individual academic disciplines: social, communicative and specialized; a clear structuring of the types and levels of integration in the curriculum of self-educational activities on the basis of gradually complicated problem-oriented tasks of the activity; providing the student with the right to choose the means and the algorithm for achieving the goal, taking into account his personal potential. The second factor contributing to the efficient flow of self-educational activities of university students is the formation of their motivation-value attitude to this type of activity through the development of motivation for professionalism, abilities and achievements. The authors consider the motivational component of the structure of self-educational activity as a key, giving rise to the entire learning process. The third factor that determines the efficient development of the skills of self-educational activities of university students is the use of telecommunication technologies, aimed at developing critical thinking and activating mental abilities. The authors believe that the described factors are basic and should be subjected to a more detailed analysis, which will become the basis for substantiating the set of pedagogical conditions for organizing this type of educational work.
Variable photorealistic image synthesis for training dataset generation

Photorealistic rendering systems have recently found new applications in artificial intelligence, specifically in computer vision for the purpose of generation of image and video sequence datasets. The problem associated with this application is producing large number of photorealistic images with high variability of 3d models and their appearance. In this work, we propose an approach based on combining existing procedural texture generation techniques and domain randomization to generate large number of highly variative digital assets during the rendering process. This eliminates the need for a large pre-existing database of digital assets (only a small set of 3d models is required), and generates objects with unique appearance during rendering stage, reducing the needed post-processing of images and storage requirements. Our approach uses procedural texturing and material substitution to rapidly produce large number of variations of digital assets. The proposed solution can be used to produce training datasets for artificial intelligence applications and can be combined with most of state-of-the-art methods of scene generation.
Counting Active S-Boxes is not Enough

Inspired by the works of Nyberg and Knudsen, the wide trail strategy suggests to ensure that the number of active S-boxes in a differential characteristic or a linear approximation is sufficiently high, thus, offering security against differential and linear attacks. Many cipher designers are relying on this strategy, and most new designs include analysis based on counting the number of active S-boxes. Unfortunately, this analysis is not always accurate and needs to be performed in a very delicate manner. To counter the common approach, we give an example of a 4-round Feistel construction with a very large number of active S-boxes that is expected to resist differential and linear cryptanalysis. However, we show that S-box counting arguments are insufficient in cases where one can find many differential characteristics with the same input and output difference. Namely, we show for a “provably” secure 128-bit block, 4-round Feistel with at least 36 active AES S-boxes, that one can construct differential characteristics with probability $$2^{-118}$$ much higher than the bound of $$2^{-216}$$ . Even if we compare this 4-round Feistel construction to a random permutation we obtain a 10x factor in the probability of the characteristic.
과학기술 분야 박사학위자의 직업다변화 및 결정요인 분석

The traditional occupational boundaries of human resources in science and technology (S&T) have quickly blurred in Korea. On the one hand, the knowledge-based economy has emerged and S&T proliferated beyond conventional areas, leading scientists and engineers to advance into various convergence fields. On the other hand, Korea’s labor market is characterized by a higher percentage of highly-educated human resources and a relatively smaller number of high-quality jobs. As a result, the highly educated in S&T have flowed over the traditional careers into non-S&T careers. Focusing on doctorates in S&T, this paper analyzes changes in their career patterns and identifies main determinants. Specifically, jobs are categorized into traditional STEM occupations and the others in order to identify fluctuations in their share and to analyze factors affecting such changes. The analyses are based on data from the ‘Survey on Careers and Mobility of Doctorate Holders 2012’ conducted by the Science and Technology Policy Institute. The results exhibit marked changes in the occupational composition of doctorates in S&T. Occupational diversification has been proceeded faster in natural sciences, the private sector, and the younger generation than in engineering, the public sector, and the older generation.
Kelayakan Modul Pembelajaran IPS Berbasis Saintifik Melalui Metode EIATH Kelas IV SD/MI

The purpose of this research is to find out the steps of module development and feasibility of scientific-based IPS learning modules with EITH (Everyone Is A Theacher Here) method of grade 4 elementary school students. This research uses development research to develop scientific-based learning modules with EITH (Everyone Is A Theacher Here) method in ips subjects based in MI Yapendi Bogor. The results that will be obtained from this study are qualitative and quantitative data. The result of validation and trial results is a number that will later be described. Material validation result score 93%, language validation result 84.61%, design validation result 82.29% of the overall maximum score 100%. The eligibility results of the learning module are declared valid, if the learning module is eligible with a score of 81% - 100% of all elements contained in the questionnaire.
Graphs for deep learning representations

In recent years, Deep Learning methods have achieved state of the art performance in a vast range of machine learning tasks, including image classification and multilingual automatic text translation. These architectures are trained to solve machine learning tasks in an end-to-end fashion. In order to reach top-tier performance, these architectures often require a very large number of trainable parameters. There are multiple undesirable consequences, and in order to tackle these issues, it is desired to be able to open the black boxes of deep learning architectures. Problematically, doing so is difficult due to the high dimensionality of representations and the stochasticity of the training process. In this thesis, we investigate these architectures by introducing a graph formalism based on the recent advances in Graph Signal Processing (GSP). Namely, we use graphs to represent the latent spaces of deep neural networks. We showcase that this graph formalism allows us to answer various questions including: ensuring generalization abilities, reducing the amount of arbitrary choices in the design of the learning process, improving robustness to small perturbations added to the inputs, and reducing computational complexity.
Polyharmonic Decomposition of a Digital Image

A decomposition of the space L2(Q) into a direct sum of polyharmonic subspaces is obtained. The completeness of shift systems of the fundamental solution of the polyharmonic equation is proved. A convergent algorithm for solving the problem of separating the polyharmonic component of a function from L2(Q) is developed. The resulting decomposition is applied to some digital image processing problems; the results of computational experiments are presented.
The Effect of Money Markets on Development of Manufacturing Industry in Rwanda

The purpose of the study was to assess the contribution of finance credit markets in the development of manufacturing industries.The study used descriptive research design to conduct a census on 22 employees of Sulfomanufacturing industry in Rwanda.Questionnaires were used to obtain primary data and documentary review for secondary data.The study concluded that money markets create trade opportunities through facilitating trade opportunities, by meeting short term capital needs and that that money markets facilitate company development through facilitating large investments.The study thus recommends thatmanufacturing industries should continue participating in finance and credit markets because it is important in development of manufacturing industries in Rwanda.
MEJA TESIS (MEDIA PEMBELAJARAN TEMATIK SISWA SEKOLAH DASAR) BERBASISIS WEB SITE SEBAGAI ALTERNATIF PELAKSANAAN TRI PUSAT PENDIDIKAN

In the era of the industrial revolution 4.0, the wider community must use technology as well as possible, especially in improving education in Indonesia to be more advanced and developing. Learning activities in elementary schools can be integrated using learning media in the form of E-learning. Tamansiswa as the foundation of education in Indonesia has a trip-center principle of education, namely education in the family, school and community environment. Primary School Student Thematic Learning Media (MEJA TESIS) is a system that accommodates the principle of education trip center tamansiswa with the type of academic transactions designed to support the learning process of elementary school students. TESIS TABLE-based learning helps teachers and parents to be involved in the children's learning process. In addition, this TESIS DESK can support and facilitate students, teachers and parents in implementing flexible learning. This thesis table has features to assist students in learning.
Comparisons to Real-World Decentralized Networks

Congratulations, you’ve got a working node (and you’re a funcoinaire). But how different is it to Bitcoin? Or Ethereum? Or Monero? Or any of the flavors out there? What alternatives are there to Proof of Work? What are smart contracts? In this chapter we’ll explore the differences between funcoin and real production blockchains and try to quantify the distance between them.
PEMANFAATAN METODE ITERATED FUNCTION SYSTEM (IFS) PADA PEMBANGKITAN KURVA NAGA

Fractals have two types, namely fractals sets (artificial fractals) and natural fractals. Each type of fractal has a variety of fractal objects. One of the fractal objects is the Dragon Curve. Fractal objects can be generated through two methods, namely the Lindenmayer System (L-System) and the Iterated Function System (IFS). In previous studies, the Dragon curve can be generated through the L-System approach. The method is to start from determining the rotation angle, then determining the initial string, and the last one, which is determining the production rules. In this study, the Dragon curve is generated using IFS with Affine Transformation. The Affine transformation used in this study is dilation and rotation. Some variation is given on the scale of dilation and rotation angle. The variation is using a fixed angle with a variety of scale and using a fixed scale with a variation of angle. Each variation gives a different effect. This influence results in a varied visualization of the Naga curve. If the scale and angle that is varied approach a scale of one and an angle of 90° then the fractal formed approaches the Dragon curve of a scale of one with an angle of 90°. Conversely, if the scale and angle are varied away from one scale and angle of 90°, the fractal formed away from the Dragon curve of scale one with an angle of 90°. Keywords: Affine transformation, dragon curve, IFS method.