Reviewerly/exHarmony huggingface dataset:
Design College Scores Test System Based on C4.5 Algorithm

With the rapid expansion of data volume, data mining comes into being. We use the advantages of data mining widely used in various industries, but in the education management industry, especially according to the students’ historical scores for data analysis and guidance. In this paper, we use data mining to analyze the relationship between English scores and CET-4, and the relationship between English scores and CET-4. By using the improved Apriori algorithm, the paper analyzes the indirect relationship among the four levels of English scores. According to the analysis, we also get the concrete conclusion: Although the students’ entrance English scores have certain influence on the CET-4 scores, they are definitely not decisive factors, but the school English scores play a decisive role in the passing of CET-4. Finally, it is proposed that students with excellent English are more likely to fail in CET4, which needs more attention.
언어 네트워크 분석을 활용한 교육과정 개정에 따른 자극과 반응 단원의 개념 연계성 변화

The purpose of this study is to examine the articulation of stimulus and reaction unit concepts with the revision of the curriculum. For the 7th curriculum, the 2009 revised curriculum, and the 2015 revised curriculum, the conceptual network of the stimulus and reaction unit, the vertical articulation, and the degree of articulation between the curriculum and the textbook were analyzed. The research results are as follows. First, the stimulus and reaction unit was well articulated with the concept of curriculum and textbook. The core contents and main contents of the unit were fully revealed only by the concept articulated with the concept of the curriculum achievement standard. In particular, the 2015 revised curriculum systematically showed the core contents of the unit as the number of textbook concepts associated with the curriculum decreased. Second, in the stimulus and reaction unit, the vertical articulation between contents of elementary, middle and high school was relatively well done. The curriculum revision did not change much. Third, the stimulus and reaction unit needs to be reduced in concept. In the case of middle and high schools, the top 30% concept alone showed the main contents. Therefore, it is necessary to reduce the concept of textbooks centering on the articulated concept of curriculum.
Choice of Profit Models for the Transformation and Development of Traditional Industrial Enterprises in the Internet Industry

This article sorts out the profit model set by combing the profit models of the main industry fields and their specific content, and provides specific case analysis. It mainly focuses on three types of “Internet plus” emerging industries, namely cloud computing services, industrial smart manufacturing services and new retail, and proposes profit model selection and related scenario analysis suitable for the transformation and upgrading of traditional industrial enterprises and innovative business models.
Smart City Application: Community Survey System of Urban Comfort Level

Based on the projected increase in urban population in Indonesia released by the Ministry of PUPR and Bappenas in 2017 that there was a significant increase in urbanization, which is estimated that in 2015-2035 the population in urban areas will exceed the population in rural areas (66.6% of the population urban and 33.4% rural population). Increasing the number of the urban population needs to get proper handling from the government. If not, it will trigger the emergence of various urban problems ranging from the physical city to the problems that will have an impact on the reduced level of comfort in life in the region. Based on this, it is necessary for the participation of city dwellers in playing the role of planners, actors, and supervisors of city development. This research work develops a framework which uses fuzzy Inference System to calculate urban comfort level, starting from a questionnaire-based survey. There are seven input variables used to produce an output of urban comfort level. Based on the stages of using the Mamdani Model Fuzzy Inference Logic System starting from the formation of the fuzzy set, the application of the impulse function, the composition of the rules to the process of affirmation (defuzzification), it can be proven that there is a correlation between the input variables so that it can determine the output of urban comfort level results. The outcomes help the city government in making public policy on city development.
Visualizing the Temporal Similarity Between Clusters of Dynamic Graphs

The evolution of graph structures in large time-varying graphs is often difficult to visualize and interpret due to excessive clutter from overlapping nodes and edges. With limited display area, visual clutter often increases and makes it difficult to recognize developing patterns in embedded sub-graphs. In such situations viewers are often hampered in observing and exploring significant changes of the graph components. This poses a cognitive barrier in the visual analytics of large dynamic structures. Another important problem in visualizing dynamic graphs is capturing the difference between graph states. Their state changes often become intractable. In this paper we propose to construct cognitive templates for grouping closely related entities using community detection techniques. The induced subgraphs are collapsed into meta-nodes in order to simplify the representation of large graphs and induce similarities between communities. In order to compute the new structures, we introduce the GCN, or Graph Convolution Network, that learns the representations of sub-graphs induced by communities. The pair-wise similarities can then be calculated by graph-based cluster search algorithms. Furthermore, the proximity state might change temporally. We need to extract the matched communities between consecutive snapshots. Using multi-dimensional scaling and color mappings, we reveal the evolution of graphs at the community level. We evaluate the effectiveness of our method by applying it to the Wikipedia edit history data set.
An algorithm to identify text marked in rock core pictures with machine learning algorithm

Abstract The aim of our project is to extract numerical descriptors or gather feature of rock samples from their images made under microscope with computer vision algorithm which can overcome the bottleneck of traditional method. It is impossible to solve it without getting the imformation of microscope magnification of images when they were made. That is why this paper is about an algorithm to identify the text used to mark microscope magnification information in rock core sample pictures. This is a sub project. As locations of text in these pictures are not fixed, font of text is not fixed, font size of text is not fixed, a method of two steps is designed to identify the text from the background. It works as follows: first, find the location of text; second, recognize the text with Convolution Neural Network. Experimental results demonstrate the potential value of the proposed approach to identify the magnification information in rock core sample pictures and to apply as a funtion to a program of our future project.
MENGHITUNG PENCARIAN RUTE TERDEKAT PADA OBJEK WISATA MENGGUNAKAN ALGORITMA A-STAR ( STUDI KASUS : KECAMATAN NYALINDUNG

ABSTRACKThe search for the shortest path becomes a tourist attraction that is in great demand by tourists who have never visited a tourist attraction in Nyalindung District. At this time information about tourism has spread on the internet but no one has made a special article about the shortest path to travel in Nyalindung District.Therefore, the authors make a special case study of the search for the closest route to attractions in the district of Nyalindung. The goal is to find an alternative route with the shortest search path from the initial location to the final location. This study uses qualitative, data collection based on Google Maps and direct monitoring. To solve the problem of finding the shortest path using the A-Star Algorithm. The A-Star algorithm is used to find the shortest path of two paths (alternative routes). The shortest path search results use the A-Star Algorithm to make it easier for tourists and find find tourist locations by saving search time.Keywords: A-Star Algorithm, Google Maps, Shortest Path, Travel, heuristik
Forensic Investigation of PayPal Accounts

PayPal, Inc. is one of the leading international online payment method providers, with more than 218 million active customer accounts across the globe. PayPal not only appeals to consumers who wish to purchase goods online, it is also of interest to criminals in a variety of ways. When it comes to criminal investigations, it is critical to determine who committed the crime and how the case can be proven in court. When a criminal investigation relates to PayPal, the questions to be answered include: Which PayPal account was used by the suspect, which computer should be seized? How can we prove criminality? This chapter is geared towards digital investigators, who are interested in digital evidence related to PayPal accounts, used with a Web browser. Herein, we provide an overview of the techniques that PayPal actually uses to identify their customers, which goes beyond online user credentials. More specifically, this chapter highlights evidence related to PayPal accounts, which can be found on an acquired hard disk image file. This in turn should help to determine if a PayPal account was in fact used and identify which account was used. This research focuses on a behavioural analysis of PayPal, using the Mozilla Firefox Web browser, in an effort to monitor and identify ways to determine how a PayPal account was utilized. Furthermore, we have detailed the examination and analysis of acquired image files, involving different use cases of PayPal, to illustrate these indicators and subsequently analyse the findings.
Fisher and skew information for two-qubit Bell states under decoherence effects

We give the explicit expressions of quantum Fisher information and skew information for a two-qubit Bell states. We investigate their dynamics under the decoherence effects: phase-damping channel, depolarizing channel and amplitude-damping channel. We also discuss the thermal entanglement quantified by Wootters concurrence for these three decoherence channels and we compare its dynamical behavior with the quantum Fisher information and skew information. We then use this comparison to investigate the influence of noisy channels on thermal entanglement and its role in boosting the performance of metrology protocols. It is shown that the correlations in two-qubit Bell states are more resistant to phase-damping channel and depolarizing channels.
Evaluation of Clustering Techniques for GPS Phenotyping Using Mobile Sensor Data

With the ubiquitousness of mobile smart phones, health researchers are increasingly interested in leveraging these commonplace devices as data collection instruments for near real-time data to aid in remote monitoring, and to support analysis and detection of patterns associated with a variety of health-related outcomes. As such, this work focuses on the analysis of GPS data collected through an open-source mobile platform over two months in support of a larger study being undertaken to develop a digital phenotype for pregnancy using smart phone data.
Intelligent Cloud Load Balancing Using Elephant Herd Optimization

The main objective of scheduling algorithms is to perform tasks in a manner which minimizes time and resource usage while maximizing throughput and thereby reducing energy consumption and other costs related to it. We introduce an approach to schedule cloud instances using the optimization algorithm named elephant herd optimization. The above mentioned algorithm was then evaluated on an in-house developed cloud platform “Indra”.
Designing a tool for promoting fluid-intake behavior

Drinking a target goal of fluids is a critical self-care activity that children with chronic illnesses should do to maintain their health. Despite the ubiquity of fluid-consumption recommendations in managing health, hydration is an under-researched topic, both in pediatric healthcare and HCI. The goal of the current study is to support children in establishing a sustainable fluid intake routine, such that positive health behaviors and management strategies continue even after recovering from illness. By conducting semi-structured qualitative interviews with pediatric patients, we sought to understand the participants' fluid habits and perceptions of intervention ideas that could promote healthy fluid intake behavior. Our findings highlight an overall lack of motivation to drink fluids and the need for a supportive care tool that tracks fluid intake. Findings will guide the future development of a behavior change intervention to promote a routine practice of achieving daily fluid goals.
Tratamento arquivístico da DARQ-UFSC-digitalização

T The work with the Central Archive Division from the Federal University of Santa Catarina at the curricular internship was an opportunity of the Extension Project in partnership with the Department of Infor-mation Science / Archival Science Undergraduate Course and Archive Division of the Dean of Development and People Management DARQ / PRODEGESP. Archival treatment is one of the activities performed by the professional Archivist in an information unit of the public / private administration. The applications of these services were developed at the Federal University of Santa Catarina, DARQ / PRODEGESP. The documentation refers to professors and employment documentation who receive conservation and preservation treatment to be digitalization. These documents after being scanned are indexed within archival standards. At DARQ, Electronic Document Management - (GED) ensures the originality of the document in the digitalization process, in the processing and consultation of documents for research / access. The general objective is to diagnose the archival treatment process and the digitalization in DARQ, the specific objectives: a) To analyze the GED in image quality and indexing; b) Map the stages of the DARQ digitalization process; c) Create a hierarchy of indexed terms, process ↔auto↔ resource ↔ standard↔ request↔. Qualitative, descriptive, and exploratory and documentary methodology. Conclusion: due to the treatment used in its documents, with the help of the GEDs, it is possible to use fundamental tools to facilitate the retrieval of information in the institution, fundamentally corroborating the institutional memory at UFSC.
Design of an autonomous electric vehicle for assistance in the movement of people with visual disabilities using vision algorithms and artificial intelligence

Abstract Currently autonomous vehicles are equipped with a variety of sensors, controls and actuators, depending on the objectives and requirements of the vehicle. One of the biggest challenges in the development of the autonomous vehicle system for the assistance in the movement of people with visual disabilities is the high cost. Therefore, researchers with a limited budget carry out their experiments and research in simulation environments, while other researchers use small vehicles that in many cases do not accurately represent a real parametric dynamic system. This article describes the design of a low-cost prototype of an autonomous electric vehicle that includes its control systems, microcontrollers, encoders, motor controllers, sensors and cameras. Therefore, the designed vehicle has the ability to move autonomously through the use of vision and artificial intelligence algorithms to assist in the movement of the visually impaired person. The document details the first steps of the design taking into account the parameters of a real environment and artificial intelligence algorithms.
Ideological Education Under the 3D Virtual Scene Applied Research in Organizational Behavior Course

The price of computers and their ancillary equipment has decreased. Virtual realization technology and equipment have been getting rid of sky-high prices and gradually received attention in various fields, especially in the education industry is no longer an elusive thing, and the application of 3D technology in ideological and political education (IAPE) in colleges is particularly typical. As a new learning tool, 3D virtual reality technology products can not only enable learners to experience the application of IAPE in organizational behavior from realistic virtual scenes, but also enable teachers and other educators to gradually develop the way of thinking in the digital era to educate students’ behaviors and habits. How to combine the existing technology level to develop and utilize virtual reality products is a technical problem for educators. On the basis of sorting out and analyzing relevant theories and researches, this paper applies 3D virtual scenes to the practice of IAPE in organizational behavior course in colleges, analyzes the specific application results, and provides certain theoretical basis for the research in related fields.
Machine Learning of Ambiguous Sentences in Technical Manual for Tacit Knowledge Acquisition

The objective of this study is to judge ambiguous sentences for mining tacit knowledge. This study was conducted with inspections and maintenance of railway rolling stock as the subject. To test the hypothesis that ambiguous sentences include tacit knowledge, we compared result of mining by human and by machine learning. We obtained the results that we can recognize the ambiguous sentences by machinery judgement with high accuracy. The most striking observation to emerge from this data analysis was that ambiguous sentences can identified not only by adjectives and adverbs but also nouns, post positional particle, or conjunctions.
Design and Application Research of Targeted Persons Control System Based on Big Data

By studying the needs of targeted persons control, this paper constructs a targeted persons control system based on big data, realizes the structuration and standardization of multi-source heterogeneous data, and carries out big data analysis operations such as data association, personnel label analysis and knowledge map construction. On the basis of this system, this paper puts forward the application of targeted persons control based on big data, such as potential persons discovery, abnormal behavior identification, targeted persons tracking and crime situation analysis, providing development ideas for targeted persons control under the condition of big data.
Constructions of Polynomial Codes Based on Circular Permutation Over Finite Fields

As a kind of very important error-correcting codes, polynomial codes have the advantages of good performance and simple structure. Generalized R-S codes over <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$F_{q}$ </tex-math></inline-formula> as polynomial codes have the advantages described above, but their lengths <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$n$ </tex-math></inline-formula> are at most <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$q$ </tex-math></inline-formula> . In order to increase the length of the codes, in this paper, we apply a method similar to the construction of the generalized R-S codes over <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$F_{q}$ </tex-math></inline-formula> and develop Ling and Xing’s idea to construct new <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$q$ </tex-math></inline-formula> -ary linear codes. First, based on the idea of constructing polynomials codes over <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$F_{q}$ </tex-math></inline-formula> , we construct a class of polynomial functions by using the circular permutation defined over <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$F_{q}$ </tex-math></inline-formula> , and a new type of linear codes is constructed from the properties of these functions and Mobius functions. Then, we give the value of the length <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$n$ </tex-math></inline-formula> , the dimension <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$k$ </tex-math></inline-formula> and the lower bound of the minimum distance <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$d$ </tex-math></inline-formula> of the new linear codes. It turns out that some codes from this construction have good parameters based on Brouwer’s table.
An Algorithm for Constructing Additive and Multiplicative Voronoi Diagrams Under Uncertainty

An algorithm is proposed to construct additive and multiplicative Voronoi diagrams under uncertainty in the initial data of a problem, which may be inaccurate, unreliable or fuzzy. To remove the uncertainty in the initial data having a fuzzy-multiple nature, a method of neurolinguistic identification of complex nonlinear dependences is used. The developed algorithm is based on a synthesis of the theory of optimal set partitioning and neuro-fuzzy technologies. Methods of optimal set partitioning are a universal mathematical apparatus for constructing various types of Voronoi diagrams. This apparatus uses an approach based on the statement of continuous problems of optimal partitioning of sets from n-dimensional Euclidian space into subsets with a partition quality criterion that provides the corresponding types of Voronoi diagrams. The universality of such approach to the construction of Voronoi diagrams makes it possible to generalize the methods of solving the optimal set partitioning problems for the case of fuzzy setting of the initial problem parameters. Along with the problem of constructing a Voronoi diagram with fuzzy parameters, this approach also allows us to state and solve a problem of finding optimal, in a sense, coordinates of the diagram’s generator points. The developed algorithm is software implemented. The work of the algorithm is demonstrated through examples of constructing additively weighted and multiplicatively weighted Voronoi diagrams with fuzzy parameters and optimal placement of generator points in a bounded set of n-dimensional Euclidian space.
AMPLA

Software architecture design, when performed in context of agile software development (ASD), sometimes referred to as “agile architecting,” promotes the emerging and incremental design of the architectural artifact in a sense of avoiding “big design upfront” (BDUF). This chapter presents the Agile Modeling Process for Logical Architectures (AMPLA) method, an approach for supporting the emergence of a candidate (logical) architecture, rather than BDUF, the architecture in an early phase. The architecture then emerges throughout agile iterations, where AMPLA plays a key contribution for providing traceability between models, from the business need to service specifications, ranging from design stages to deployment, hence covering a software development life cycle (SDLC).