Reviewerly/exHarmony huggingface dataset:
Exploring the Role of Union Digital Center to Managing Information Services in Rural Development of Bangladesh

The information services are multidimensional and socially acts as the building block of communication among diverse groups in rural society. Rural development mostly relies on the effective use of information services in the day-to-day activities of rural people and rural administrations. In rural areas of Bangladesh, Union Digital Centre comprised of every prospect of delivering the advantages of new communication technologies towards the agricultural community who lagged behind the access to technology in their workplace, household social living, or at the institution. Prior studies revealed that the rural people of Bangladesh mostly suffer because of low productivity; the deterioration of social and economic conditions originated from the unavailability of adequate information. This article attempted to explore an overview of the roles of Union Digital Centre among various socio-politico-economic components in developing rural areas of Bangladesh. A convenience sampling technique was used to collect data through a structured questionnaire and a total of 100 respondents were selected from three old rural regions of Bangladesh. Besides, case study, focus group discussion, informal interviews, and content analyses were made. At the end, this paper discusses some findings on the importance of free access to technology for rural society, challenges, and recommendations that may guide policymakers and stakeholders.
Gateway into Linked Data: Breaking Silos with Wikidata

Presentation accompanied by two handouts: Wikidata Batch Editing/Creation Using OpenRefine (.pdf) Wikidata Batch Editing and Creation Using QuickStatements (.pdf)
Technological Education Teacher and Professional Competence

This article provides a theoretical analysis of the concept of Competetion. Analyzed the essential characteristics and approaches that justify the need for activity, shows the formation of competence.
Intelligent Robots in the Disease Recovery Process Using a Whale Optimization-Based Feature Selection and Classification Model

In recent times, intelligent robots have gained the capability of transforming the role of a physician and revolutionizing the practice of medicine. Recent studies reported that robots can be used as an effective tool for disease diagnosis of several medical statuses as humans proficiently. In this view, this chapter presents an intelligent robot in the disease discovery process using a whale optimization-algorithm (WOA)-based feature selection (FS) with a fuzzy-rule based classifier (FRBC), named WOA-FRBC. The WOA-FRBC model involves three distinct stages, namely preprocessing, FS, and classification. In addition, the WOA-based FS process is applied to extract a useful set of features from the provided preprocessed data. Besides, the FRBC model is employed for classification purposes, which determine the proper class label of the applied data. In order to investigate the proficient results of the WOA-FRBC model, several experiments were performed. The experimental outcomes show that the WOA-FRBC model has a better diagnostic outcome than those of the earlier techniques. The WOA-FRBC model achieves effective results owing to the automated rule generation of the FRBC model and optimal subset selection by WOA.
Winograd Algorithm for AdderNet

Adder neural network (AdderNet) is a new kind of deep model that replaces the original massive multiplications in convolutions by additions while preserving the high performance. Since the hardware complexity of additions is much lower than that of multiplications, the overall energy consumption is thus reduced significantly. To further optimize the hardware overhead of using AdderNet, this paper studies the winograd algorithm, which is a widely used fast algorithm for accelerating convolution and saving the computational costs. Unfortunately, the conventional Winograd algorithm cannot be directly applied to AdderNets since the distributive law in multiplication is not valid for the l1-norm. Therefore, we replace the element-wise multiplication in the Winograd equation by additions and then develop a new set of transform matrixes that can enhance the representation ability of output features to maintain the performance. Moreover, we propose the l2-to-l1 training strategy to mitigate the negative impacts caused by formal inconsistency. Experimental results on both FPGA and benchmarks show that the new method can further reduce the energy consumption without affecting the accuracy of the original AdderNet.
Location-Based Saliency Maps from a Fully Connected Layer using Multi-Shapes

Recently, with the development of technology, computer vision research based on the human visual system has been actively conducted.Saliency maps have been used to highlight areas that are visually interesting within the image, but they can suffer from low performance due to external factors, such as an indistinct background or light source.In this study, existing color, brightness, and contrast feature maps are subjected to multiple shape and orientation filters and then connected to a fully connected layer to determine pixel intensities within the image based on location-based weights.The proposed method demonstrates better performance in separating the background from the area of interest in terms of color and brightness in the presence of external elements and noise.Location-based weight normalization is also effective in removing pixels with high intensity that are outside of the image or in non-interest regions.Our proposed method also demonstrates that multi-filter normalization can be processed faster using parallel processing.
Prison and Health Reforms during COVID-19 Pandemic in India

The COVID-19 has an expanding transmission among detainees in prisons, jails and detention homes. The Indian jails have congestion and inhabitance and prone to contagion disease. The protection to health freedoms of detainees and prisoners reflected in the World Health Organization (WHO) Guidance on COVID-19 for Prisons and Detention, 2020. The WHO Guidance standardises the essential instrument to manage the COVID-19 difficulties in penitentiaries and confinement homes. The direction secures the strength of detainees and convicts living in encased conditions, thinking of them as inclined to the COVID-19 disease and spread among the populace. The United Nations Principles of the Protection of Prisoners, 1982 and Basic Principles for the Treatment of Prisoners, 1990 alongside the Moscow Declaration on Prisons and Health, 2003 and Nelson Mandela Rules, 2015 accommodate the health organisation and criminal equity framework. The WHO Interim Guidance on COVID-19 in Prisons and Other Places of Detention, 2020 is straight out in preventive and medicinal measures for the penitentiaries and confinement homes in the virus of COVID-19. The paper contends for the lawful arrangement for the medical services in correctional facilities and confinement homes in the light of the judgment of High Courts and Supreme Court on prison reform during the COVID-19 pandemic in India.
The effect of grit and career decision making self-efficacy of college Taekwondo students on career preparation behavior

The study purpose on investigate the effect of grit and career decision making self-efficacy of Taekwondo students on career prepartation bahavior. For the result of this study 206 Taekwondo students who study in Gyeonggi, Daegu, pusan, Gyungbuk, Joenbuk college were selected by experimenter. Using SPSS 18.0, the data analysis was conducted with frequency analysis, exploratory factor analysis, reliability analysis, correlation analysis, and regression analysis to draw the following conclusions. First, Among the sub-factor of grit, Effort Persistence is positive effect on Information collection activities, Tooling activities and Objective Attainment Activities. Interest Consistency is positive effect on Information collection activities and Tooling activities. second, planning and self-rating among the sub-factor of career decision making self-efficacy are positive effect on the Information collection activities, Tooling activities and Objective Attainment Activities. Third, Among the sub-factor of grit, Effort Persistence is positive effect on Collecting occupational information, planning, troubleshooting and self-rating.
МЕТОДИКА РАЗВИТИЯ НАВЫКОВ САМООБРАЗОВАНИЯ ПРИ ОБУЧЕНИИ ХИМИИ В ОБЩЕОБРАЗОВАТЕЛЬНОЙ ШКОЛЕ

This article discusses the main methodological approaches to the formation of self-education experience in teaching chemistry in secondary schools of Kazakhstan. Particular attention was paid to the development of methods to ensure the development of experience of self-education and self-control, and recommendations for its implementation. The general characteristic of methodical work, the description of a technique of research of development of abilities of self-education of pupils at studying of chemistry is given. On the basis of indicators of formation of skills of self-education the level of formation of skills of self-education is shown. Examples of the use of some tasks in the implementation of the goals of the formation of the experience of self-education are given.
Reducing Workload On Real-Time Database Using Machine Learning Based Transaction Scheduling

Reading and writing to relational databases requires accessing multiple tables for constraint & quality checks. In order to perform these checks, databases use transaction management, wherein index-based checking & validation is done, and data is committed to the database only when these checks are satisfied. In case of any validation violations, databases need to either fall back to previous data state, or activate violation rule engine and resolve the underlying conflicts. Performing these tasks for limited size databases doesn’t compromise on system performance, but as database sizes increase, the number of checks increase exponentially, thereby reducing database system performance. In order to reduce the effect of database size on transaction scheduling performance, this work proposes a genetic algorithm inspired algorithm, which takes into consideration multiple performance parameters in order to optimize transaction performance. The underlying system is deployed on multiple relational databases, and a performance improvement of 10% in terms of scheduled transaction execution delay is observed. This performance is compared with recently proposed state-of-the-art systems, and it is observed that the proposed model is able to reduce execution delay by 5% across multiple implementations.
Fuzzy predictor for parallel dynamic task allocation in multi-robot systems

This paper presents a model to decompose complex tasks in the form of elemental tasks executed in parallel by multi robots. In this model, a criterion of accuracy in the parallel dynamic tasks allocation process (APDTA) is defined. Through this APDTA, a predictor based on fuzzy logic called FP-TE is developed to evaluate the importance of elemental tasks in the system. The inputs of this predictor are described as observations acquired from sensor data. The FP-TE output will be used to allow each robot to individually decide what task should be executed. Simulation results on goods transportation by mobile robots are presented to demonstrate the effectiveness of this fuzzy predictor.
NEW APPROACHES TO THE SYNTHESIS OF AUTOMATIC SEISMIC MONITORING SYSTEMS

The processes of development of hydrocarbon deposits are accompanied, as a rule, by an increase in the level of seismicity and, in particular, by the occurrence of technogenic earthquakes and other deformation phenomena associated with changes in the geodynamic regime. To monitor deformation and geodynamic processes, a seismic monitoring service should be organized. A similar monitoring system is also required for the analysis of aftershock and volcanic activity. Monitoring technology should be based on the use of reliable and fast methods of automatic detection and localization of seismic events of various scales. Traditional approaches to the detection and localization of earthquake epicenters and hypocenters are based on the analysis of data recorded by one or more single seismic stations. In that case, seismic event coordinates are estimated by means of signal extraction from noise and accurately measuring arrival times of a number of specific phases of the seismic signal at each recording point. Existing computational techniques have inherited this traditional approach. However, automatic procedures based on the ideology of manual processing turn out to be extremely laborious and ineffective due to the complexity of algorithms adequate to the actions of an experienced geophysicist-interpreter. The article contains a description of new approaches to the synthesis of automatic monitoring systems, which are based on the principles of emission tomography, use of spatial registration systems, energy analysis of wave fields and methods of converting real waveforms into low-frequency model signals (so-called filter masks/templates). The monitoring system was successfully tested in the process of detecting and locating the epicenters and hypocenters of 19 weak local earthquakes in Israel, as well as a quarry explosion.
An Ultra-Low-Power STT-MRAM-Based Multi-Core Associative Coprocessor with Inter-Core Pipeline Scheme for Large-Scale Full-Adaptive Nearest Pattern Search

2019 International Conference on Solid State Devices and Materials ,An Ultra-Low-Power STT-MRAM-Based Multi-Core Associative Coprocessor with Inter-Core Pipeline Scheme for Large-Scale Full-Adaptive Nearest Pattern Search
Determining Factors of Living Standard in Sub-Saharan Africa: Using Alternative Measures

This study examines the possible determinants of living standard of individuals in Sub-Saharan Africa using the most recent three-wave pooled data from the Afrobarometer database. Exploratory factor analysis with polychoric correlation and ordered probit and ordinary least square estimation technique for pooled data are used in the inferential analysis. Three alternative measures of living standards (individuals living condition, access to basic needs and access to basic security) are employed. This study found that, despite different measures of living standards with different estimation techniques, employment, education attainment and living in formal houses have a significant positive effect on living standard of individuals in Sub-Saharan Africa. This may imply that the used alternative measures of living standard are logical and reasonable. It also ensure that whatever the estimation technique is, the fact is fact; i.e. application of different regression techniques doesn’t change the reality. The results also show that those individuals who own fixed assets including car and motor, and own radio and television, are more likely to have a better living standard compared with those who haven’t. Hence, governments in Sub-Saharan Africa should focus on their policies and their implementation, which help to enhance the living conditions of individuals, through provision of basic needs and basic security through provision of better and stable jobs, better education, and other socio-economic infrastructures.
Fuzzy Logic and PID Controllers for DC Motor Using Genetic Algorithm

In this article, DC motor supply is controlled using PID controller and fuzzy logic controller. The PID controller requires a mathematical model of the system, while the obscure logic controller is based on experience with rule-based information. The design of a fuzzy logic controller requires a number of design decisions, such as rule-based and physics. FLC has two inputs, one of which is a speed error and the other is a change in speed error. Here are 49 Fuzzy rules designed for the controller of Fuzzy logic. The center of gravity method is used for defasification. The Fuzzy logic controller has used a civilized system that results in Fiji set employees. The PID controller selects its parameters based on trial and error. Method PID and FLC are explore with the help of MATLAB / SIMULINK package program simulation. It has been established that the FLC is more difficult in design to compare with the PID controller, but it has to be more suitable to meet the non-linear characteristics of the DC motor. The results show that fuzzy logic has minimal transient and stable state parameters, indicating that the FLC & PID is more efficient and effective than the controller.
Improvement in Secure Mosaic Image Using Style Transfer

A secure transmission of Secret image method is proposed in which the style image is the target image and it is used for secret fragment visible mosaic image. The size of the Mosaic image is same as that of secret image. Style image is obtained by mixture of two images. Style image is obtained by Texture Synthesis. We follow the Michael Elad et al. process and to improve the quality of Style image Dual Domain Filter (DDF) is used. Mosaic image is created by dividing the secret image and target image into fragments of equal size and fitting these secret tile blocks into target blocks. For tile image hiding, a mapping sequence is generated using Genetic Algorithm (GA). This provides better clarity in the retrieved secret image. The quality of the original target image remains preserved while embedding the secret image. Therefore better security and robustness is assured. Embed these tile fragments into the target image based on the mapping sequence by genetic algorithm and permuted the sequence again by KBRP with a key. Color transformations are performed to make the mosaic image similar to the target image. After color transformation rotation is performed. Rotating each tile block into an optimal rotation angle with minimum root mean square error (RMSE) value with respect to its corresponding target blocks. For the recovery of the secret image from the mosaic image embed relevant information into the created mosaic image. Overflows/underflows in the transformed color values can also be handled by using this method. By using the same key and the mapping sequence, the secret image can be recovered.
MENINGKATKAN HASIL BELAJAR KETERAMPILAN MEMBACA PEMAHAMAN PADA TEKS EXPLANASI DI KELAS X MIPA-1 SMA NEGERI 1 BOLA KABUPATEN SIKKA TAHUN PELAJARAN 2018/2019

The research was carried out starting from the early reflections on the results of formative test done in thescience class of X , Kab. Sikka, NTT Province. The test results of Basic competence: to analyze a social function, text structure and language features of explanation text shows that of the total 26 students only 15.38% are able to meet the criteria for a minimum mastery by 75. Starting from these problems need to be followed up by applying the SAVI technique in learning reading comprehension . The formulation of the problems in this study are 1) Can the use of the SAVI technique increase student activity in learning to read comprehension in Class X  MIPA-2 SMA Negeri 1 Bola? (2) Can the use of the SAVI technique improve student learning outcomes in reading comprehension learning in Class XI MIPA-1 SMA Negeri 1 Bola? This type of research uses a classroom action research model designed in three cycles. Each cycle takes four stages, namely learning planning, implementing learning, observing, and reflecting. Sources of data in the study were 26 students of Class X MIPA-1 SMAN 1 Bola, consisting of 7 boys and 19 girls . In this study, the researcher is the author himself as a subject teacher and is assisted by a colleague as a collaborator. The data collection techniques used observation technique and test technique. Qualitative data from the results of observation about student activities are processed and analyzed descriptively with percentage to see trends that occur in each learning activity and are categorized into low, medium and high levels. The quantitative data from the test results were analyzed the average value to determine the achievement of the minimum completeness criteria of 75. The results of this study indicate that the use of SAVI techniques can improve learning activities and student learning outcomes in developing reading comprehension competencies . Student learning activities in cycle 1 were 54% increased to 78% in cycle 2 and 95% in cycle 3. The average student learning outcomes in cycle 1 were 71, increasing to 78 in cycle 2 and 82 in cycle 3.
Analysis of Environmental Adaptation of Flooded Areas in Padang City

Many factors cause flooding in a region, as the main factor is its natural and human factors. In Padang, the land is transformed into a built-up land, as well as more densely populated, coupled with the physical condition of areas prone to flooding. The average annual rainfall studied is 3997 mm/year, with the highest rainfall chart occurring in November, December, and starting to fall in January. The physical characteristics of flooded land soil in Padang city consist mostly of dust between 37.69% to 43.67% and clay between 10.05% to 41.48%, with soil permeability from 1.5  cm/hour to 0.25 cm/hour with slow to very slow category. Meanwhile, community adaptation reduces the risk of flooding in the form of a physical building which is not very significant because the community only cleans drainages from barrier factors, but does not make improvements to their homes or their environment. Social adaptation is in the form of mutual cooperation, only a small part of the community participates, some only help in the form of money as a substitute for mutual cooperation.
Developing and Implementing a Website for Sports Clubs

This work aims to design and develop a website that combines sports clubs in the Kingdom of Saudi Arabia, which provides all the information related to the clubs in the region in addition to the offers and discounts, with the ability to book and move from one club to another without the need to personally go to the club to register, in order to motivate them to participate in the appropriate clubs for them with ease way and show the best equipment and machines in addition to innovative programs, cardio and strength halls, freestyle and varied classes of exercise, internationally certified trainers and many features for members. The proposed system was developed using the Unified Modeling Language (UML) and PHP.
Research on Backwash Effect of Language Dialogue on Chinese Language Teaching

Tests have a backwash effect on teaching, the positive effect can promote students to study hard and teachers to improve teaching work; while the negative effect is apt to cause the teaching and learning bias.Therefore, it is necessary to improve the test of the positive anti-dial function and reduce its negative effect.Test should have clear purpose, with the correct theory as a guide, take a combination of direct test and indirect test to minimize the objective test questions, and to increase subjective questions.