Reviewerly/exHarmony huggingface dataset:
Cooperative and location-independent terrain assessment for deployment planning using a 3D mixed reality environment

A fast and reliable decision is based on the availability of a precise data basis and expert knowledge. In order to address these aspects for resource planning, we provide an intuitive situation analysis in mixed reality with a seamless transition between conventional location planning and virtual inspection of the operational environment, which in addition to a better understanding of the terrain allows for location-independent cooperation of several users. The basic idea of the presented concept comprises the intuitive application preparation in mixed reality in a realistic 3D environment combined with an efficient 2D situation overview using e.g. a large display, tablet or smartphone. The aim is to enable transparent collaboration between different system environments regardless of the location of the respective users. The aim of the idea is an improved understanding of the terrain and increased situational awareness for fast and demand-oriented location planning. The solution is based on the three building blocks. First, a user-oriented display of high-resolution 3D geodata for a better understanding of the terrain on the basis of data standards, including necessary performance optimizations for use in mixed reality environments. Second, the combination of two-dimensional and three-dimensional display of operational pictures, which allows a choice of means through the synchronization of the information between the different platforms and thus a demand-oriented deployment planning. And third, the support of content-related cooperation of remote users for fast decision making via wired or mobile networks.
GAN-based unpaired image-to-image translation for maritime imagery

Generating imagery using gaming engines has become a popular method to both augment or completely replace the need for real data. This is due largely to the fact that gaming engines, such as Unity3D and Unreal, have the ability to produce novel scenes and ground-truth labels quickly and with low-cost. However, there is a disparity between rendering imagery in the digital domain and testing in the real domain on a deep learning task. This disparity/gap is commonly known as domain mismatch or domain shift, and without a solution, renders synthetic imagery impractical and ineffective for deep learning tasks. Recently, Generative Adversarial Networks (GANs) have shown success at generating novel imagery and overcoming this gap between two different distributions by performing cross-domain transfer. In this research, we explore the use of state-of-the-art GANs to perform a domain transfer between a rendered synthetic domain to a real domain. We evaluate the data generated using an image-to-image translation GAN on a classification task as well as by qualitative analysis.
ACTUAL PROBLEMS OF COMBATING DRUG TRAFFICKING USING THE INTERNET AND WAYS TO SOLVE THEM

The relevance of the issue of combating drug trafficking did not begin to decline with the development ofthe Internet and electronic technologies; it would seem that new means of controlling and combating crimeappear. But as it turns out, all new tools appear with a significant delay as a reaction to the development ofmethods of committing a crime. The criminal world is not asleep and is always in search of new means ofcommitting a crime, the development of Internet technologies and the anonymity of Internet users renderconsiderable assistance to this for the criminal community. The openness of our modern society, in termsof the impact on culture and youth, of Western trends, such as the legalization of certain drugs and theirsanctification in the media, creates new consumers and potential customers for criminals organizing drugtrafficking. Which together gives disappointing forecasts, even on the moral development of modern youth.This article describes the current problems of combating drug trafficking using the Internet, the problemof the development of crime in the field of drug trafficking; the statistics of crimes committed in the AltaiTerritory is investigated; suggested ways to solve these problems.
The Ability of Latin Letter Recognition in Early Children in Raudhatul Atfhal Annajamissa'adah Medan Tembung

The background of the problem in this study is the ability to recognize Latin letters in early childhood in Raudhatul Atfhal Annajamissa'adah clay field and the teacher has not used an effective and efficient media in learning to recognize Latin letters. This study aims to process learning activities in the form of activities of teachers, students and parents in the ability to recognize Latin letters in early childhood in Raudhatul Atfhal Annajamissa'adah clay field through the process of learning the introduction of Latin letters in early childhood. The results showed that there were some weaknesses and strengths in learning Latin letters recognition. Because children lack enthusiasm in learning because the media conducted by teachers is less effective. Therefore there must be cooperation between parents of students and teachers so that students also study at home not only studying at Raudhatul Atfhal Annajamissa'adah clay field but at home must also be taught by parents so that the ability to recognize Latin letters can die. Because so far researchers see the lack of cooperation between teachers and parents in working together in educating young children in Raudhatul Atfhal Annajamissa'adah so the level of children's ability to recognize Latin letters is different.
Designing complex intelligent systems on the basis of ontological models

The article discusses the problems of automation of complex systems' design process, which include intelligent systems, using the example of designing a complex technical object -motor vehicle.The concept of designing the intelligent systems on the basis of modeling is considered.An intellectual system model is a composition of following models: tasks, subject area, user, presentation, dialogue script.The ontology is considered in the article as a model of the architecture of an intelligent system.
Ship Security Relative Integrated Navigation with Injected Fault Measurement Attack and Unknown Statistical Property Noises

In this work, the ship relative integrated navigation approaches are studied for the navigation scenarios with the measurements disturbed by unknown statistical property noises and with the injected fault measurement attacks. On the basis of the limited energy property of system noises, the navigation states are estimated by the local finite horizon H∞ filter to satisfy the performance index function. Then, the local estimates are fused in the relative integrated navigation system with the weight fusion parameters obtained by using the local estimate error measurements. Further, the injected fault measurement attacks are considered in the relative integrated navigation systems. Due to the system noises and the measurement noises having unknown statistical property, the classical Chi-square test can hardly be utilized to detect the injected fault measurements. Therefore, a secure relative integrated navigation method is proposed with a distance-based clustering detector. The finial simulation results illustrate the effectiveness of the proposed relative integrated navigation approach and the proposed secure relative integrated navigation approach.
Perbandingan Algoritma Fitness of Spring dan Algoritma Tabu Search pada Kasus Penjadwalan Perkuliahan

The compilation of lecture schedules is very important at universities for the continuity of the teaching and learning process of study programs. Such as at Andi Djemma Palopo University, Informatics Engineering Study Program. Frequently occurring alternate lectures to change course schedules is a complex thing considering the pre-existing schedule is well organized. But with the lectures, it is usually difficult to determine schedules, days, hours, rooms, and classes so that, no alternate lectures are coinciding with other subjects. so that in this Case Study, the researcher compared two methods namely the Fitness Method and the Taboo Search Algorithm to see the performance when determining the replacement schedule. The values obtained from the results of the implementation of the two methods above, are with using the fitness method is 40 while for the taboo search the maximum value obtained is 15, based on the order of the schedule of previous courses and courses that will be replaced. Thus, the value obtained by using the taboo search method is in the normal category compared to the changing fitness method. Thus, the researcher can conclude that the value obtained by the taboo search is smaller so that, it is good to be used to determine scheduling.
Simulasi Visualisasi Teknik Gerakan Yoga Dengan Metode Pengembangan Multimedia Luther-Sutopo Berbasis Mobile

Nowadays there are lots of sports, one of them is yoga, yoga is very beneficial for physical and spiritual health. in modern times yoga is very less interested because of the lack of information about movement techniques in certain areas, thereby reducing the interest of the community in practicing the techniques of yoga movements. There needs to be a solution to this problem by creating a multimedia media in the form of visualization and simulation using a mobile-based, and using the Luther-sutopo method where the process is divided into 6 stages, namely: concept, design, material collecting, assembly, testing, distribution. So this multimedia development can be developed on a mobile basis. The use of media simulation and visualization of mobile-based multimedia makes it easier for users to find out yoga movement techniques because the form of simulation and viusalization of attractive yoga movements can increase people's interest. It is expected that in this visualization simulation application mobile-based yoga movement techniques can be used in general beneficial for all people.Keywords: Multimedia, Luther-Sutopo, Android, Visualization
Pengembangan MEPTISAN untuk Meningkatkan Hasil Belajar Siswa Kelas 5 SD

21st Century learning ideally utilizes rapidly developing technology. The writing of this article aims to develop Android-based thematic learning media to improve learning outcomes for 5th grade students. The type of research used is Research and Development (R&amp;amp;D). From the results of the preliminary study the learning media used by the teacher are only in the form of pictures and visual aids which each student cannot try on their own because, the limited number of learning media. Based on the results of a preliminary study the author intends to develop MEPTISAN products to improve student learning outcomes for 5th grade students. The product draft was tested by material experts, learning design experts and learning media experts. The results of the material expert validation obtained a score of 90.9%. The results of the learning design expert validation obtained a score of 90%. The results of the learning media expert validation obtained a score of 83.1%. The score is in the category very high and MEPTISAN products are suitable to use for learning.
Implementasi Algoritma Hebb Rule Pada Diagnosa Penyakit Kolik Abdomen Pada Orang Dewasa

In the current era of globalization, the development of computers in the health sector has become increasingly rapid. Computerized systems are needed especially in handling a disease. Because sometimes doctors, nurses find it difficult to know the type of illness suffered by adults, children and the elderly without a good computerized system. Abdominal colic, for example. Abdominal colic is a disease where there is an unpleasant feeling in the oral cavity between the thigh border and the chest rib border. This disease is caused by several factors, for example, eating is already full, eating a lot of acid, spicy and also drinking lots of alcohol. And usually occurs in adults. Where symptoms are symptoms such as nausea, vomiting and noisy intestines and excessive farts. With these symptoms, which becomes a control that a person has abdominal colic disease. Therefore the author made a study of the implementation of the HB rule on the diagnosis of abdominal colic disease. Theebb rule algorithm is a simple and uncomplicated learning method in the process, with the aim of minimizing the risk of disease problems that occur in patients, especially adults
Overview of malaria situation in Sudan

Background: Malaria the world’s most prevalent vector borne disease, is endemic in 92 countries worldwide, remains a major public health threat to more than 600 million Africans. Approximately 41% of the world’s population is at risk, and each year 300 million to 500 million clinical cases of malaria, &gt;90% of them in Africa, are reported. The objective of the study was to present an overview of the malaria situation in Sudan, to assess the trend of malaria infection amongst the local population of Sudan during the period 1990 to 2008, to assess the trend of proportion of all consultations and mortality attributable to malaria amongst the local population of Sudan during the period 2000 to 2008.Methods: The study design was a retrospective cohort study design. Data from all sources was validated, compiled and analysed statistically using standard statistical tests.Results: Overall malaria incidence shows a significantly decreasing trend during the period of study. Disease burden due to malaria as proportion of all consultations also shows a significantly decreasing trend during the period of study. Mortality attributable to malaria also shows a significantly decreasing trend. Conclusions: The epidemiology of malaria infection and disease risks are in transition is some parts of Africa, in part as a result of scaling of the provision of insecticide treated nets and adoption of new effective therapeutics.
Customer Classification Of Discrete Customer Assets Data And Re-Ranking Of Classified Data

RE-RANKING OF CLASSIFIED DATA".Selecting useful information under the background of big data can help enterprises to classify customers more accurately.Outlier data includes important customer information.In order to study customer classification problem based on customer asset outlier data, a customer classification model based on outlier data analysis concerning customer asset is constructed successfully.The model is based on Variables in 4 dimensions including transaction frequency, types of products or services traded, transaction amount and client age.And using clustering before classification to divide twenty-five types of outlier customer data into four categories and corresponding marketing strategies also are put forward according to different classification of outlier customer data of a company.In addition, it also presents a flexible and effective re-ranking method, called CR-Re-ranking, to improve the retrieval effectiveness.To offer high accuracy on the top-ranked results, multi modal fusion re-ranking approach is used.Experimental results show that the quality, especially on the top-ranked results, is improved significantly.
Compatibility of Enhancement and Segmentation of Digital Image Processing in Medical Applications

The proposed work is an attempt to investigate the compatibility of enhancement and segmentation within the digital image processing framework in the medical field. The correction nonuniform illumination enhancement technique and marker-controlled watershed segmentation method were conducted in order to calculate the red blood cells in digital images of blood samples. Twenty-five patients at Medical City Teaching Hospital in Baghdad participated in this study. The attained outcomes of the two mentioned methods were compared with the real results, which were obtained by a digital camera coupled with a high technology microscope. The comparison illustrated large matching between two proposed techniques and real outcomes throughout very short computation time in spite of limited features of the used computer and available MATLAB environment.
Determination of Customer Satisfaction of Tax Service Office Services Using C4.5 and PSO

Tax Service Office is a work unit of the Directorate General of Taxation that carries out services in the field of taxation to the public, both registered and unregistered taxpayers, within the working area of the Directorate General of Taxes. The number of Primary Tax Service Offices in Indonesia, one of which is the Primary Tax Service Office in Bekasi, has various ways to increase the satisfaction of taxpayers for the services provided. This study aims to determine the accuracy of taxpayers' satisfaction using data mining techniques using the Decision Tree C4.5 Algorithm with Particle Swarm Optimization (PSO) feature selection, validation uses cross validation techniques while accuracy is measured by the confussion matrix, which is to determine the level of service satisfaction conducted by distributing questionnaires to taxpayers in the Primary Tax Service Office in Bekasi as many as 500 questionnaires. The results show the accuracy value of Taxpayers' service satisfaction at the Pratama Tax Service Office using the Decision Tree C4.5 Algorithm with a feature selection of Particle Swarm Optimization (PSO) of 98,85%, Precission of 98,85% and Recall of 100%.
Comparative Analysis of Image Quality Values on Edge Detection Methods

Identification of object boundaries in a digital image is developing rapidly in line with advances in computer technology for image processing. Edge detection becomes important because humans in recognizing the object of an image will pay attention to the edges contained in the image. Edge detection of an image is done because the edge of the object in the image contains very important information, the information obtained can be either size or shape. The edge detection method used in this study is Sobel operator, Prewitt operator, Laplace operator, Laplacian of Gaussian (LoG) operator and Kirsch operator which are compared and analyzed in the five methods. The results of the comparison show that the clear margins are the Sobel, Prewitt and Kirsch operators, with PSNR calculations that produce values ​​above 30 dB. Laplace and LoG operators only have an average PSNR value below 30 dB. Other quality comparisons use the histogram value and the contrast value with the highest value results in the Laplace and LoG operators with an average histogram value of 110 and a contrast value of 24. The lowest histogram and contrast value are owned by the Sobel and Prewitt operators.&#x0D;
Implementasi K-NN Dalam Analisa Sentimen Riba Pada Bunga Bank Berdasarkan Data Twitter

This study aims to formulate public opinion about bank interest included in the category of usury or not. The method used in this study is the analysis of usury sentiments on bank interest using Twitter data with the K-NN algorithm. Sentiment analysis using the K-NN algorithm gives good results. Evidenced by testing 170 twitter dataset using the K-NN algorithm obtained an accuracy of ± 70.59%. Assisted by the preprocessing process which aims to erase unnecessary parts and also change the form of documents in the form of tweets to a standard form so that classification can be carried out, so that the results of usury sentiment analysis on bank interest can clarify assumptions in the community and serve as a reference in determining appropriate banking products to the needs of customers
RISKS, DANGERS, THREATS OF “CONTINUOUS” E-EDUCATION

The term “digitalization” for a long time settled in the agenda of significant events dedicated to education. The education system, fulfilling the adopted program, should prepare a huge number of schoolchildren, students and workers for life with the indispensable use of information and communication technologies. However, often the actual digitalization is reduced either to the digitization of educational materials and documents in educational structures, or to unhindered access to the Internet. If the request for digitalization is addressed to education, then, being in the pedagogical space, it would be reasonable to first determine what and how to teach. The problem of the lack of a reasonable psychological and pedagogical concept of digital learning, which could be used by the subjects of the educational process as a basic one, is raised in the article.
A Comprehensive Needs Analysis of French Course for Tourism and Hospitality Program

This study aims to conduct a comprehensive needs analysis on french language for tourism and hospitality programs by looking closely at three points of view, i.e., 120 students of tourism and hospitality program, 7 french lecturers, and 5 hospitality professionals. This research applied a mixed-methods approach to collecting the data. This means that this study deployed a set of qualitative and quantitative measures to attain deep answers. Furthermore, the data in this study were collected through multiple instruments, including interviews and questionnaires. The result of the analysis of the data revealed that the French language was one of the significant foreign languages, besides English, that needed to be learned by the students to have a good carrier in the hospitality and tourism industry in the future. Along with that fact, speaking was considered as the most important language skill, among the other skills, which have to be developed by the students. Moreover, the ideal teaching materials urgently needed to be developed within this context were those equal to the intermediate level. The findings of this study were expected to have a further contribution to the development of comprehensive teaching syllabuses, materials, as well as lesson plans for French-language classrooms in the tourism and hospitality program.
Network load traffic on MySQL atomic transaction database

Internet technology is developing very rapidly especially on the database system. Today's database has led to data that cannot be processed into the traditional way that we call big data. Some data stored on the server requires a way for the data to be valid and intact for that transaction mechanism appears on RDBMS which ensures that the data stored will become a unified whole as in customer account data, withdrawal of money at ATMs, e-transactions -commerce and so on.&#x0D; Of course the use of transactions in a database by not using Atomic transactions has a difference in terms of traffic on the network. This research appears by analyzing network traffic or density from a database that uses transactions and not to users who access them. This research method uses a questionnaire method by distributing questionnaires quantitatively to 300 respondents. The results of the study of approximately 300 respondents, researchers get the results that the use of transactions in databases and databases without transactions after being accessed by 300 people, the densest network is a network owned by a system that uses transaction features, this is because there is a slight increase of about 13% of traffic when compared to a network without transactions. This statement shows that two-way communication from a database that has the transaction provides feedback to the user so that the data is reliable as an indicator that the data has been stored safely. Further research can be done by finding other information or a study of big data using the atomic transaction model.