Reviewerly/exHarmony huggingface dataset:
An Improved Level Set Method to Image Segmentation Based on Saliency

In order to improve the edge segmentation effect of the level set image segmentation and avoid the influence of the initial contour on the level set method, a saliency level set image segmentation model based on local Renyi entropy is proposed. Firstly, the saliency map of the original image is extracted by using saliency detection algorithm. And the outline of the saliency map can be used to initialize the level set. Secondly, the local energy and edge energy of the image are obtained by using local Renyi entropy and Canny operator respectively. At the same time, new adaptive weight coefficient and boundary indication function are constructed. Finally, the local binary fitting energy model (LBF) as an external energy term is introduced. In this paper, the contrast experiments are implemented in different image database. The robustness of the proposed model for segmentation of images with intensity inhomogeneity and complicated edges is verified.
SISTEM PENUNJANG KEPUTUSAN PEMILIHAN BEASISWA DENGAN METODE DECISION TRE ID3 PADA SMAN 2 CIBINONG KABUPATEN BOGOR

The selection of scholarships must be in accordance with established rules. The criteria set out in this case study are academic values, parents' income, number of siblings, number of dependents of parents, active organizations and others. Therefore not all who register as candidates for the scholarship will be accepted, only those who meet the criteria will get the scholarship. Because of the large number of participants who apply for scholarships, it is necessary to build a decision support system that will help determine who is entitled to get the scholarship. Therefore, this study seeks to provide a solution for the selection of students who deserve a scholarship in accordance with the criteria that have been determined by each to produce more accurate and faster data. Decision Tree ID3 method as a comparative test analysis model, as well as policy analysis is used to support appropriate decision making for the school board. ID3 Decision Tree is suitable for use in this case because it can make data classification accuracy and tree generated results are very easy to read by humans.
Design of Solar Energy Automatic Tracking Control System Based on Single Chip Microcomputer

To improve the photovoltaic conversion efficiency of solar energy, promote the development of photovoltaic industry and alleviate the pressure of energy shortage. This paper designs a biaxial solar ray automatic tracking system, which combines sun-path tracking with photoelectric detection tracking. When the system is running, the weather condition is judged by photosensitive resistance at first. The cloudy day adopted the sun-path tracking by getting the time date in the clock module. The azimuth and altitude angles of the current sun are calculated by the corresponding calculation formula. Then the stepper motor is controlled by a single chip microcomputer to adjust its position accordingly. The sunny day adopted the photoelectric detection tracking mode, the light intensity signal collected by four photosensitive resistors is converted into a voltage signal to identify the orientation. The single chip computer controls the rotation of the horizontal and vertical stepper motors after program calculation. In this way, the biaxial automatic tracking of solar panels is realized. Practice shows that, the tracking system can continuously improve the utilization rate of solar energy, and high tracking accuracy, it has strong practical value.
Introduction to the Minitrack on Cognitive Neuroscience and Psychophysiology in the Digital Economy

Individual cognition plays an integral role in our interactions with the Internet and the Digital Economy.Over the past decade, tools from psychophysiology and cognitive neuroscience have entered the Information Systems field.These tools allow researchers to uncover cognitive and emotional responses to the Internet.Since the information systems field partly exists to understand how individuals process information when interacting with technology, a deeper understanding of the cognitive and emotional underpinnings when using technology is warranted.This minitrack provides a venue for research that examines cognitive and emotional correlates of the Internet and Digital Economy.Specifically, this minitrack calls for research that utilizes neuroimaging methodologies that augment our understanding of the Internet.Research examining vision, the neural system, and other "deep" inspections of how humans process, transmit, and reach shared understanding of information through the use of technology will be considered.The goal of this minitrack is to advance the
Revealing causality between heterogeneous data sources with deep restricted Boltzmann machines

In a number of real life applications, scientists do not have access to temporal data, since budget for data acquisition is always limited. Here we challenge the problem of causal inference between groups of heterogeneous non-temporal observations obtained from multiple sources. We consider a family of probabilistic algorithms for causal inference based on an assumption that in case where X causes Y, P(X) and P(Y|X) are statistically independent. For a number of real world applications, deep learning methods were reported to achieve the most accurate empirical performance, what motivates us to use deep Boltzmann machines to approximate the marginal and conditional probabilities of heterogeneous observations as accurate as possible. We introduce a novel algorithm to infer causal relationships between blocks of variables. The proposed method was tested on a benchmark of multivariate cause-effect pairs. We show by our experiments that our method achieves the state-of-the-art empirical accuracy, and sometimes outperforms the state-of-the-art methods. An important part of our contribution is an application of the proposed algorithm to an original medical data set, where we explore relations between alimentary patters, human gut microbiome composition, and health status.
Arithmetic coder optimization for compressing images obtained through remote probing of water bodies

Introduction. The fast program algorithm of arithmetic coding proposed in the paper is for the compression of digital images. It is shown how the complexity of the arithmetic coder algorithm depends on the complexity measures (the input size is not considered). In the course of work, the most computationally complex parts of the arithmetic coder algorithm are determined. Performance optimization of their software implementation is carried out. Codecs with the new algorithm compress photo and video records obtained through the remote probing of water bodies without frame-to-frame difference. Materials and Methods. In the presented paper, a selection of satellite images of the Azov Sea area was used. At this, the software algorithm of the arithmetic coder was optimized; a theoretical study was conducted; and a computational experiment was performed. Research Results. The performance of the software implementation of the arithmetic coder is increased by the example of the VP9 video codec. Numerous launches of reference and modified codecs were made to measure the runtime. Comparison of the average time of their execution showed that the modified codec performance is 5.21% higher. The overall performance improvement for arithmetic decoding was 7.33%. Discussion and Conclusions. Increase in the speed of the latest digital photo and video image compression algorithms allows them to be used on mobile computing platforms, also as part of the onboard electronics of unmanned aerial vehicles. The theoretical results of this work extend tools of the average-case complexity analysis of the algorithm. They can be used in case where the number of algorithm steps depends not only on the input size, but also on non-measurable criteria (for example, on the common RAM access scheme from parallel processors).
On the Syntactic, Semantic, and Pragmatic Quality of Students’ Conceptual Models

Visual notations and conceptual models, such as ER diagrams or UML diagrams aid in aligning stakeholder needs, defining and prioritizing processes and goals for the system under development, serve as a reference for requirements elicitation, negotiation, and enable validation as well as verification of artifacts.With such a ubiquitous presence and paramount importance, conceptual models have therefore been introduced in software engineering curricula far and wide.However, it is exceedingly difficult to teach and learn conceptual modeling.Not only does it require educators to instruct notation and syntax of the visual language, but also semantic intricacies.Similarly, students struggle with what differentiates a "good" conceptual model from an inadequate one, how to use conceptual models of different types in conjunction with one another in a meaningful way, or simply how to avoid ambiguity and vagueness.In this paper, we discuss the syntactic, semantic, and pragmatic quality of conceptual models in four courses from an undergraduate software engineering program.It is not our aim to present empirically rigorous results, but to contribute to the body of knowledge on the quality of typical novices' conceptual models.We seek to foster discussion in the community and present observations and results for comparison.
THE IMPLEMENTATION OF TECHNICAL INTEROPERABILITY MODELS IN LARAS VERSION 1.0 DIGITAL LIBRARY APPLICATIONS:A CASE STUDY IN THE CENTER FOR SCIENTIFIC DOCUMENTATION AND INFORMATION – INDONESIAN INSTITUTE OF SCIENCES

This study aims to find out models implementation of the technical interoperability applied and developed on the Digital Library Applications of the Library and Archive Analysis System version 1.0 (LARAS v 1.0) by the Center for Scientific Documentation and Information-Indonesian Institute of Sciences (PDII-LIPI). The other goal of this study is to determine why PDII-LIPI tries to develop LARAS v 1.0 and has changed the previous application of WINISIS. This study was done by using a case study method with qualitative approach. Data was collected by documents analyses and in-depth interviews. This result of the study shows that LARAS v 1.0 was created by developers at PDII-LIPI to avoid the obsolescence of information and technology communication (ITC), in this case, is the digital library application. In fact, the conflicts between the developers and the librarians in developing LARAS v 1.0 still exist. Models implementation of technical interoperability applied to LARAS is a combination of several levels of Level of Information System Interoperability (LISI) model. Nevertheless, in practice, LARAS v 1.0 is still not perfect, especially from the point of view of system development of metadata, encoding, communication protocol, databases, and indexing.
FORMATION OF READINESS FOR PROFESSIONAL MOBILITY IN FUTURE LAWYERS

The problem and the goal. The article is devoted to the problem of the formation of professional mobility readiness in future lawyers. The importance of communicative and professional competence, participation in international programs for the future specialists in the formation of professional mobility of students is shown. The purpose of the article is to analyze the formation of professional mobility in future lawyers. The research methodology consists in the analysis and generalization of research works by foreign and domestic scientists recognized by scientific community. Results. On the basis of activity, competence and contextual approaches, the main competencies that contribute to the formation of professional mobility are formulated. It was important to determine its components of the process of developing professional competence in future lawyers, such as: a set of knowledge, skills and attitudes; criteria (cognitive, operational, personal); indicators and levels (high, sufficient, critical). This research task was carried out during the study. Conclusion The author’s concept of professional mobility formation in future lawyers suggested in the article can be implemented in the variable part of training. The results of the work can be used as recommendations for preparing graduates to effectively adapt to the conditions of the labor market, or when choosing a profile of a master’s program based on the core and related professional competencies formed in the process of mastering.
The Opportunities and the Limitations of Using the Independent Post-Editor Technology in Translation Education

A new mechanical function known as post-editing, which helps to correct the imperfections of raw machine translation output, is introduced in the translation market.While this function is commonly used as an integral part of the machine translation, it can also be used for correcting non-translated texts on its own.The main purpose of this study is to find an answer to the question of which contributions could be made to the competences of translation students by using independent posteditors during academic translation education.A model course application and survey are conducted with the participation of students from translation studies departments.The interrater reliability is used in this study.In accordance with the results, it is found that most of the students have not known the usage of the independent post-editors during the translation process.The research provides new insights into the contributions of posteditor technology to the translation education.The findings of the research also reflect the contributions of post-editor technology to the translation quality in terms of the speed-time management, the accuracy of punctuations, abbreviations, and grammar rules.It is also determined that the post-editors contribute to the competencies of the translation students.As a result, it is suggested that the post-editors may be used as an educational material in translation education.Indeed, the results require other studies about the usage of post-editors as educational materials.
Study the Relation of Cloud Cover with Evaporation and Solar Radiation over Baghdad City

Cloud cover effects on most other meteorological variables. It effects on the amount of radiation entering the boundary layer of the atmosphere and thus it controls the amount of energy within this range. Evaporation is also an important factor in the formation of clouds and directly affects the energy equation. This study was based on daily data of cloud cover and evaporation values taken from Iraqi meteorological organization and seismology for the period 2000 to 2005 for the city of Baghdad, as well as the solar radiation data of the three components (direct - diffuse - reflected) and the same location and period time period taken from European center of solar energy services for professionals study (soda), monthly and annual rates were calculated to show the correlation between these variables. &#x0D; To carry out statistical operations and convert the values of the cloud cover to the proportions of eight parts to indicate the proportion of clouds in the sky and drawing diagrams, the results showed that there is a significant effect of the evaporation processes on the formation of the cloud cover. High evaporation values are associated with high values of the cloud cover and have a high positive correlation coefficient value hits (0.74). The results showed that the cloud cover values are inversely proportional to the direct and diffused radiation compounds and have a negative correlation coefficient of (-0.93). This effect is less on the reflected radiation component. In general, the cloud cover can be used to estimate the values of some other meteorological variables, especially in winter seasons.
“Automatic Driving Robot Simulation in MATLAB with Hardware”

Obstacle avoidance is one of the most important phase of mobile robotics.Without it, robot movement would be very confining and breakable.This project proposes robotic vehicle that has an intelligence built in it such that it directs itself whenever an obstacle comes in its path.So to protect the robot from any physical harm.This can be design to build an obstacle avoidance robotic vehicle using ultrasonic sensors for its motion.A micro-controller (AT mega 328P) is used to achieve the desired operation.An ultrasonic sensor is used to determine any obstacle ahead of it and sends a command to the micro-controller.Depending on the input signal received, the micro-controller redirects the robot to move in an alternate direction by actuating the motors which are interfaced to it through a motor driver.
Simplification of Compiler Design Course Teaching Using Concept Maps

The students of undergraduate expect simple, teaching.But, in many universities, instructors simply follow text books and solve the examples given in it.In such case, students cannot learn anything defined in the syllabus.This method of teaching will not motivate students subject in depth unless the industrial and practical applications of the subject explained students do not show interest, instructor also loses the inter of students.Hence, it is mandatory to re undergraduate students.This paper use concept maps to simplify teaching and learning of a compiler design subject with assignments
Dados abertos: um estudo em trabalhos acadêmicos no contexto brasileiro

The present article has as main contribution proposal to present an overview of the work developed, in the Brazilian context, on the subject open data and published in electronic databases of academic works. As a theoretical support for the study, the following topics were addressed: bibliometrics, open government and open data. It is a work of exploratory nature with a quantitative approach, developed through a bibliographical research. The research environment, represented by the databases consulted, was oriented by the Qualis classification, where the cut was in the periodicals classified as A1, A2, B1 and B2, in the areas of Political Science, Administration and Applied Social Sciences, as well as the Spell platform.The 17 articles found related to open data, were distributed in 14 journals. It was found that the theme is recent in the Brazilian academic scenario, most of the work is focused on the government segment. In order to present an overview of the works, the authors that publish papers, their institutions, the periodicals they publish and the context in which the works are developed were identified.
Evaluation Model for the Application of Artificial Intelligence Medical Assistant System to the Development of Medical Ecology in China

People are increasing the requirements for medical ecology in past years so that the establishment of an electronic medical care mechanism becomes urgent. Along with the development of network technology and the advance of information technology, electronic data could be done the statistical analysis. By extracting electronic medical records through the Internet, physicians could rapidly grasp complete medical record information for the diagnosis to further enhance medical quality and assist hospital managers in making proper decisions. Aiming at upper first-class hospitals in Shanghai, total 12 representative hospitals with artificial intelligence medical assistant systems are selected as the research objects for this study. Based on the annual statistical reports of the hospitals, “Delphi Method” and “Data Envelopment Analysis” are utilized for the data analyses. The research results are summarized as followings. 1. One DMU presents strong efficiency on the artificial intelligence medical assistant system performance, 4 DMUs show the efficiency in 0.9-1, and 5 DMUs appear the efficiency lower than 0.9. 2. Sensitivity analysis is utilized for analyzing and finding out the critical factors in the application of artificial intelligence medical assistant systems to medical ecology, and the inputs and outputs are gradually removed for DEA to understand the sensitivity to efficiency. According to the results, suggestions are proposed, expecting to provide medical ecology with the application of artificial intelligence medical assistant systems extracting data through diagnosis systems to perfect the medical record information of patients for physicians’ diagnoses and to further promote medical quality.
Data Stream Models for Predicting Adverse Events in a War Theater

Predicting adverse events in a war theater has been an active area of research.Recent studies used machine learning methods to predict adverse events utilizing infrastructure development spending data as input variables.The goals of these studies were to find correlation and disclose the main factors between adverse events and human-social-infrastructure development projects, and reduce the occurrence of the adverse events.The predictions still have large errors compared with the real values using the existing methods.The reason could be that some significant variables are removed to comply with constraints in a soft computing model such as neural networks, fuzzy inference systems (FIS) and adaptive neuro-fuzzy inference systems (ANFIS) that work well with a smaller number of variables.In this paper, a data stream approach using three data stream regression algorithms, AMRules, TargetMean and FIMTDD, is proposed to predict the adverse events so that much more input variables could be included.The results show that the data stream methods generate better results than machine learning methods used in the previous studies, thus helping us better understand the relationship between infrastructure development and adverse events.In addition the data stream methods also outperform the traditional linear regression model.An important advantage in using data stream methods is the ability to create and apply predictive models with a relatively small amount of memory and time.Finally, the use of data stream methods provides an additional advantage by allowing the user to observe error distribution over time for more accurate assessment of the performance of the resulting models.
Communication and Distribution Management System in SCADA

In this paper, various aspects of communication techniques in SCADA is discussed.The integration of the communication system along with the entire distribution network is very crucial for real-time, up to date information.This benefits the personnel to take quick action in case of fault occurrence.This paper also deals with how the Distribution Management System (DMS) improves reliability in the system and forms an important component of the entire distribution network.
Pengembangan Bahan Ajar untuk Mata Kuliah Kriya Batik

This study aims to design batik learning teaching materials for students in the Fine Arts Education Study Program. This type of research is development research, which is the design of batik learning teaching materials. Data collection techniques were carried out by observation, interviews, questionnaires, and documentation. Data analysis was performed with qualitative descriptive analysis techniques. The results of this study are known that the development of teaching materials in the Textile Craft Art subject through several stages, namely: the needs analysis phase through two stages, namely the field study and literature studies, the development phase of learning strategies through the semester program plan assessment, the development of teaching materials the materials related to technical skills, and the realization of the initial teaching materials, and adapted to the Semester Program Plan (RPS) that had been developed previously. This teaching material has not yet been carried out by the expert eavaluation stage, both material experts, media experts and experiments.