Reviewerly/exHarmony huggingface dataset:
Genetic Algorithms for DTSP: A Study of Different Mutation Rates

ABSTRACT This paper deals with performance evaluation of genetic algorithms (GAs) for the dynamic traveling salesman problem (DTSP) using different values of mutation rates. DTSP is known to be NP-hard, and consists of the solution containing N! permutations. The objective of the study is to evaluate the ability of GA to solve the optimization problems using some variations in its parameters. All performance evaluation has been performed using a software program developed in the Matlab environment. The results clearly suggest that different settings of parameters like mutation operator can give us better solutions than using static parameter settings. GA clearly demonstrates good results for DTSP with different values of mutation rates. Keywords: Genetic algorithms, traveling salesman problem, genetic operators, pseudo-code
MHz Source of Single Photons Tuned to Rubidium Transition

We report on 1MHz bandwidth source of single photons at 795 nm, producing 1000 photons/s for every 1mW of pump power. The photons are well suited for storage in Rb vapor based room temperature quantum memories.
Potret Penguasaan Komputer dan Aplikasi Perkantoran Mahasiswa Fakultas Dakwah dan Ilmu Komunikasi UIN Imam Bonjol Padang

The advancement of technological inventions has made a lot of works become computerized. Various jobs have changed into new models that require workers must have computer skills or basic of computer operations. Therefore, colleges as the highest education are responsible to ensure the computer skills of its alumni to be ready in competing with others in the workplace. Through a quantitative approach, this study tried to see the level of college students' computer mastery of Da'wah and Communication faculty at UIN Imam Bonjo Padangl. By involving 90 samples of college students in the faculty, it was found that the level of students' computer mastery was on medium category. Meanwhile, the level of students' office application mastery had various findings. For the level of students' mastery on Microsoft Word and Power point, it was on medium category. But, for students' office application mastery on Microsoft Excel was on low category.
O fonema: categoria percetiva e categoria descritiva

Experimental studies in the field of speech perception have demonstrated, since the 1950s, that speech perception is, fundamentally, an instance of categorical processing. Accordingly, the phoneme has been conceived of as a theoretical-descriptive linguistic unit and, simultaneously, as a perceptual category. In this paper, we shall see that, even before the more recent experimental methods, traditional views – such as the British school of descriptive phonetics and the American first structuralists – had anticipated some important aspects of the categorical perspectives on the phoneme. We shall defend that a broader view on this unit, based on the combination from different subdisciplines and theoretical frameworks, could offer us stronger explanations of phonological systems, phonetic processing and the inter-relation between both objects of study.
Professional competence of foreign language

The article is devoted to the consideration of the relevance and analysis of the formation of the professional competence of a foreign language teacher. This is due to the modern socio-cultural conditions, new educational standards, and the ever-increasing requirements for the process of teaching foreign languages. The term "professional competence" is considered using an integrated methodology, which includes theoretical and empirical research methods. The authors have concluded that the professional competence of a foreign language teacher is a complex of various skills and abilities facilitating effective cooperation between the teacher and students in certain professional situations. Furthermore, the authors see the solutions to these problems, the creation of a flexible and mobile system of advanced training and the search for more effective forms of interaction between educational institutions, methodological services, and professional associations of teachers for purposeful continuous pedagogical education of teachers of a foreign language.
Sensor Based Automatic Control of DC Motor For Solar Panel Tracking System in Environmental Monitoring

This paper presents sensor-based control methods for automatic tracking of solar panel with sun light. In anagricultural and environmental monitoring, various environmental vital parameters have been collected from themeasurement field with different climate conditions for analyzing the growth of agriculture plants. However, thedevelopment of real time automatic system to detect the environmental key factors is more important for measuringthese vital parameters through the use of sensors provides an efficient information about the environment conditions.In this paper, automatic solar panel tracking and control system is presented which uses the LDR (Light DependentResistor), UV sensor, humidity sensor and temperature sensor is presented to capture these parameters along withtracking of sun light. Experimental results provide that the proposed tracking system can be efficiently track theposition of sun light. Furthermore, the proposed real time system consists of temperature, humidity and UV sensorson the edge of the panel which can be connect to the wireless devices for monitoring vital parameters remotely.
Computational thinking for teacher training: A systematic review of literature

The incorporation of computational thinking in the classroom has been identified as a fundamental strategy that could spread student participation and have an effective impact on learning. Although there are studies done on this subject, we do not find a systematic dissertation that compiles the fundamental practices of Computational Thinking in teacher training. That is why this article presents a systematic review of literature with the objective of summarizing studies on computational thinking for initial teacher training. Initially the search was conducted in five databases of scientific publications, 100 studies published in the last five years were obtained. After a method of analysis of each of them, verify that they match the requirements of the review, obtaining as a result the compilation of the main experiences and practices reported in the process of Computational Thinking for teachers. In addition, the determined systematic review will determine the associated problems, studies on computational thinking, characteristics, methodologies, teaching-learning strategies and trends. This article is an important starting point for future projects that wish to continue contributing to experiences that benefit both students and teachers in this field of Teaching Computational Thinking.
Realistic Scenes Reproduction Based on Total Variation

In order to completely record all the information of realistic scenes, high dynamic range (HDR) images have been widely used in virtual reality, photography and computer graphics.A simple yet effective tone mapping method based on total variation is proposed so as to reproduce realistic scenes on low dynamic range (LDR) display devices.The structural component and texture component are obtained using total variation model in logarithmic domain.Then, the dynamic range of the structural component is compressed with an adaptive arcsine function.The texture component is processed by Taylor series.Finally, we adjust the saturation component using sigmoid function and restore the color information.Experimental results demonstrate that our method outperforms existing methods in terms of quality and speed.
Accuracy Verification of 2-Dimensional Velocity Field Derived From Optical Flow With Respect to PIV Flow Field Measurement

Abstract As a mature flow field measurement technology, particle image velocimetry (PIV) has been widely used to calculate the instantaneous motion of particles by identifying and comparing the positions of tracer particles between successive image frames. For example, the ambient air velocity distributions around fuel spray can be measured using LIF-PIV However, due to the need to accurately identify the tracer particles, PIV is limited in its applications, such as measuring the flow field in turbid media. Optical flow calculates apparent velocities of movement of brightness patterns in an image. Different from PIV, optical flow segments images into regions that corresponds to different objects without requirement of tracer particles. Since it is based on brightness patterns, optical flow may be widely used in measuring flow field in the area of fuel spray and in-cylinder combustion. To check the accuracy and robustness of optical flow, this study will calculate the 2-dimensional velocity fields of the same PIV image sequences using iterative optical flow and PIV respectively. Using PIV results as criterions, precision and accuracy of optical flow are studied.
A Novel Approach to Detect Face Mask to Control Covid Using Deep Learning

COVID-19 caused due to corona virus, this virus was first discovered in wuhan on Dec -2019 now it is a pandemic effecting almost every country in the world This virus transmitting from one person to another person through droplets spawned when a covid patient sneezes, coughs or exhales Even these droplets reaches ground soon because they are heavy and unable to hang in the air One of the solution to prevent covid-19 is wearing the face masks, Many governments trying their best to educate citizens to wear masks in public places even they made it mandatory, but majority people are violating this rule In current scenario police frequently check for face mask in public places and imposing fine on the people who are not wearing face mask On other hand some governments introduced technology to detect people with out face mask and send their details to petrol team then they will catch them In this paper we are proposing a model which detects public without facemask and thatdata can be used to identify the person who is not wearing the mask using facial detection system then that data is integrated with public identification data base to collect details of that person and fine amount will send to his mobile number and address using CNN model we have detected persons with mask and without mask CNN can able to identify pixel level data when compared to many algorithms available, CNN works more accurately We implemented a model with two convolution layers with 100 filters in each and applied drop out 0 5% and used Relu, soft max as activation functions at hidden and fully connected layers respectively, Cross entropy used as loss function adam is optimizer and model trained over 1500 images consists of both classes with mask and without mask and cascade classifier is used to classify faces and it is working with 91 21 accuracy This AI based mask detection system definitely creates fear in the minds of public and they will start wearing mask in public places so that the spreading of the disease can be controlled that intern useful for wellbeing of the society © 2020 Ubiquity Press All rights reserved
ПЕРСОНАЛИЗИРОВАННЫЙ ПОДХОД КАК ОСНОВА СОВЕРШЕНСТВОВАНИЯ МЕТОДИКИ ОБУЧЕНИЯ ПРОГРАММИРОВАНИЮ БАКАЛАВРОВ ОБРАЗОВАНИЯ ПРОФИЛЯ «ИНФОРМАТИКА»

The purpose of the article is to substantiate the need to improve the methodology of teaching programming to bachelors of education in the Informatics profile. To achieve this goal, the analysis of scientific literature is carried out, and research on the methodology of teaching programming is considered. Difficulties were identified that determined a number of reasons that affect the quality of results of learning programming languages in a pedagogical University. One of the reasons is that there is no computer science exam in the list of entrance tests in pedagogical universities. Accordingly, there is a low motivation of school graduates to study programming languages, and therefore a low level of algorithmic culture and system thinking in the majority of students enrolled in the educational program for training bachelors of education in the Informatics profile. In order to substantiate the relevance of these problems on the basis of the Pavlodar state pedagogical University among the 1st year students of the specialty Informatics, a ascertaining study was conducted, including a questionnaire and entrance testing. The results of this study confirm the need to improve the methodology of teaching programming in a pedagogical University. The article analyzes scientific research on the methodology of teaching programming to schoolchildren and students, studies the research that reveals the didactic potential of a personalized approach to learning, and concludes that it is necessary to develop such a teaching methodology that will be based on the idea of integrating existing methods and personalized educational requests of bachelors; the main directions of improving the methodology of teaching programming to future computer science teachers are defined.
Analisis dan Pemetaan Jumlah Penumpang Kereta Api di Indonesia Menggunakan Metode Statistik Deskriptif dan K-means Clustering: Analisis dan Pemetaan Jumlah Penumpang Kereta Api di Indonesia Menggunakan Metode Statistik Deskriptif dan K-means Clustering

The development of the population in Indonesia continues to increase, which will require more transportation facilities. PT. Kereta Api Indonesia (KAI) is one of the means of transportation in Indonesia. At present the railroad transportation facilities in Indonesia are still not comprehensive, the regions that have railroad transportation facilities are Java (Jabodetabek and outside Jabodetabek), and Sumatra. By taking data on the number of train passengers from the Central Statistics Agency (BPS), the analysis and mapping of the number of train passengers using descriptive statistics and K-means clustering was carried out in this study. This study produced 3 clusters in which each cluster has a measuring value. Cluster 0 is medium, cluster 1 is high, and cluster 2 is low. Calculated using k-means clustering produces a cluster of 0 there are 63, cluster 1 there is 47, and cluster 2 there are 46 with an accuracy of about 97.9%, and calculated using descriptive statistics to produce cluster 0 there are 108, cluster 1 there is 34, and cluster 2 exists 14 with an accuracy of about 93.6%
Segmentasi Citra MRI dengan Menggunakan Metode BLOB

Image processing is a process to produce images according to your wishes or the quality is better. The input is an image and the output is also an image but with better quality than the input image. Digital image processing is a process that aims to manipulate and analyze images with the help of computers. This is done to obtain alternative solutions to a problem with more efficient results and good accuracy, for example for the detection of osteoporosis from X-ray images and for video compression. Image (image) is another term for images as a form of visual information that plays an important role in the multimedia component. Along with technological developments in the field of computerization, image processing technology has been widely used in various fields including medicine and the entertainment industry. The segmentation process in a digital image that separates an object from the background or background is obtained from the RGB value in each pixel in the digital image so that the object can be processed for other purposes. Along with the development of technology in applications that process digital images, the segmentation process becomes increasingly necessary. The results of the segmentation must also be more accurate because if the results of the segmentation are inaccurate it will affect the results of the next process. In general, the segmentation process is divided into three parts based on classification, by edge and by area.
Perancangan Aplikasi Kompresi File Gambar Dengan Menerapkan Algoritma Unary Coding

Image file format bmp is a format developed by microsoft which consists of arrangement of dots (pixels) stored in computer memory. Bmp is an uncompressed image file, so its size is large enough and not appropriate for inadequate memory capacity. One solution to this problem is to reduce the size or compress the image file. With the compression is expected to save costs and time expended in order to increase data storage media facilities on the computer and speed up the data transfer process. The compressed image file uses the Unary Coding algorithm. With the compression of image files, it will be easier for users to reduce image files, and speed up the process of transferring image files and save time spent to increase data storage media facilities on the computer
Artificial Intelligence and the Why Stage

The recent remarkable performance of Artificial Intelligence (AI), supported by Deep Learning techniques, has created expectations about its positive transforming potential in society. However, ethical and moral issues have also reappeared with great intensity. Interpretable AI emerges as a partial response to these concerns and the necessary continuous improvement.
Relations between the probabilities of exceedance of solar radiation and production of concentrating solar thermal systems

CSP feasibility analysis, bankability assessment and plant design are generally based in one-year meteorological series representative of “typical” o extreme conditions. There is a growing interest in accounting on the inherent variability of the performance of solar plants on their input variables in the plant model. In particular, for generating the probability distributions of annual energy yield, simulation tools require as input a large number of plausible meteorological years (PMYs). In this article we generate 100 synthetic years of DNI in the 1-min resolution for the location of Seville, Spain, and we estimate and evaluate the power produced by two CSP plants with similar configuration as two well-known parabolic trough and central receiver solar plants (Andasol 3 and Gemasolar) using System Advisor Model (SAM). We estimate that there is an almost linear relation between the Probabilities of Exceedance (PoE) of the DNI and the gross electricity generation of the solar plants but that for a given annual value that corresponds to a PoE of the DNI, there is a range of possible production values depending mainly on the monthly distribution of the solar radiation datasets.
Six practical tips for practicing cyberhygiene in the middle of a global pandemic

Purpose Discusses the long-term cybersecurity challenges businesses face as COVID-19 cases spike and remote work environments need to remain operational, scalable, and capable of flexing with cycles of virus resurgence. Design/Methodology/Approach Discusses the target-rich environment cybercriminals have during this time, and steps businesses should take to secure their environments and raise employee awareness as more devices are being used remotely for company business and more company data is being sent, located, or stored outside the protections of the company infrastructure. Findings The remote work environment is likely to be around for the foreseeable future and businesses need to ensure they are secured for long-term success. Practical implications The authors offer information security and IT teams practical ways businesses can keep their systems secure and functioning: (1) Consider Basic Cyberhygiene; (2) Identify Security Blind Spots; (3) Review and Update Business Continuity, Disaster Recovery, and Incident Response Plans; (4) Remain Vigilant for Scams and Phishing Attacks; (5) Be Aware of Applicable Industry-Specific Guidelines; (6) Revisit Risk Exceptions. Originality/Value Practical guidance from experienced data privacy and cybersecurity lawyers in response to COVD-19 for Information Security, IT, and business management teams.
The readers of the National Library of Russia in XIX – beginning of XXI century

This article explores the evolution of the audience of the National Library of Russia (NLR) from the beginning of the XIX century until the present day. The author demonstrates how political and economic factors influenced social and gender characteristics of readers of the NLR, increase in the amount of readers, strengthening of the role of the library as one of the largest cultural and information centers in the world
Generation of Pseudorandom Sequence Using Regula-Falsi Method

Paul, Aakash Kandar, Shyamalendu Dhara, Bibhas ChandraPseudorandom number generator (PRNG) generates a sequence of numbers whose properties approximate the properties of sequences of random numbers. The sequence is not truly random as it can be regenerated by some initial values called seed. Pseudorandom sequence has a wide range of applications in science and engineering like modeling and simulation, encryption, gambling, gaming, etc. Chaos theory has established itself a good choice for pseudorandom sequence generation due its intrinsic properties like ergodicity, sensitivity to initial condition, etc. Several non-chaotic methods have also established with dignity for pseudorandom number generation. In this paper, we have proposed a non-chaotic method for pseudorandom sequence generation. Regula-Falsi method is used as the backbone for the said. NIST randomness test and several other tests have proved the randomness of the generated sequence and have established it as a suitable alternative for pseudorandom sequence generation.
Scanning Plat Kendaraan Pada Apill Area Dengan Menerapkan Algoritma Connected Component Labelling

Research about vehicle number plate scanning detection system that passes Apill Area (Traffic signaling equipment) using CCTV which will be developed in this study. Detection of the vehicle number plate will use a camera mounted on every corner of the traffic light pole. This detection process is carried out by taking data using the cctv camera, changing the image into a greyscale then holding it to find its binary value. Segmentation of this research uses a connected component labeling algorithm to be used for testing whether the plate is a plate or not. The contribution of this study is to divide the letters and numbers of character regions, to avoid introducing errors especially for characters with similar shapes and structures.
Approaches and challenges to virtual and augmented reality in health care and rehabilitation

Building a network of healthcare professionals
Challenges in investigating Cybercrime in social networks: A Sri Lankan Perspective

With the explosive growth of social networks, the modern society has found itself in the midst of a transformation from pre-social network age to a new world where social networks influence everything from democratic processes such as elections to the mental health of the members of the society. While arguing the net cost and benefits of social networks are out of the scope of this case study, we will argue that social networks have introduced a new threat surface that challenges the current status quo on legal protection and investigative techniques on citizens. These challenges equally affect citizens who request justice and protection, and people who are hiding and avoiding law enforcement.From the perspective of a developing nation, especially a nation that does not host any technical infrastructure for any leading social network companies, this work presents challenges Sri Lanka could face and discuss their impact on law enforcement investigations. We believe this case study will open up discussions on the proper legal framework to support future investigations.
The chronicle: Training of readers in the 9th year of elementary school

Reading is the guide axis of teaching in Portuguese and, as such, needs to become an objective of teaching, because it is a process