Reviewerly/exHarmony huggingface dataset:
QUESTION ANSWERING SYSTEM INFORMASI PARIWISATA KOTA PALEMBANG

The development of information technology is very rapid, resulting in an overflow of data. The amount of data can be used to obtain information needed by the user. The problem is, not all information can be found easily, especially very specific information. Likewise information about tourism. One way to overcome these problems is to utilize Natural Language Processing Technology, especially Question Answering System, which allows Computers to understand the meaning of Questions posed by users in natural languages. This study built a simple Question Answering System application. Application developed with PHP programming language, and MySql database. Preprocessing techniques used are Tokenization, Part-Of-Speech tagging, and Named Entity Recognation. The test result show that the application is able to provide answers to user questions of 82,05%.
A Novel Keyword Ontology Generator Method Tested on “Digital Transformation in Higher Education” Topic

The practice of using ontology to understand a field of study through the analysis of keywords was not found to have been documented, and a five-step method is therefore presented to generate ontologies of keywords: data selection and extraction, data unification strategy, keyword processing, weight and connection standardisation and final representation. Using the proposed method, an experimental evaluation was undertaken using as the field of study the digital transformation in universities and university institutions, generating a knowledge graph that enables the clear visualisation of the various connections among different topics in a chosen field of study. Finally, the effectiveness and the observed limitations are discussed while stressing that each researcher should perform a thorough analysis of those relationships, enabling to obtain useful information for teaching and learning processes, especially in higher education environments.
Pengembangan Rumah Software Sebagai Upaya Melatih Jiwa Kewirausahaan Mahasiswa Teknik Informatika

Students are one of the agents of change. The development of a region will depend on the younger generation activities. Therefore, the young generation development needs to be considered. Today the information technology is developing very rapidly, but the momentum cannot be utilized by Informatics Engineering students. Even though they can be connected and collaborate with each other, it is possible to come up with new products that can help the development of Indonesia, especially in the field of Information Technology. The majority of them do not know how to start doing business in the Information Technology field. In this community service program, the proponent proposes an idea to solve the problem by developing a student software home website to display products that have been created and are ready for sale. This website is used as a promotional media which able to introduce and promote products produced by Informatics Engineering students. The existence of this home software website will not only bring benefits to students but also can bring benefits to the community in general. Citizens who want to find out about the desired software creation services do not need to feel difficult again for looking information because all information related to the desired software products is provided on this website. This home software website creation program is carried out in 5 stages: preparation, requirements analysis, website creation, implementation, and report generation. Now the student software home website become an information media that can provide information related to service products provided by Informatics Engineering students.
Exploration on Teaching Practice for the Principle and System of Numerical Control

With the large scale application of network technology in manufacturing industry, the higher requirements for talents has been put forward in the process of economic development. The principle and system of numerical control is an important specialized course for college students engaged in manufacturing industry. The object of study in the course is to realize the automation of a machine tool, which is one of main units in an intelligent manufacturing system. The delivery content has covered a lot of subject areas (machinery, control, electronics, computer, communication, etc.), that is, it is interdisciplinary. This creates great difficulties on the way to learning for compound applied talents. Therefore, it is imperative to explore the new pedagogical practice. In this paper, some suggestions are given on the organization of teaching contents, teaching mode, incentive method.
ABC-SVM and PSO-RF Model for Photovoltaic Forecasting Based on Big Data

Prediction of photovoltaic output is of great significance to the stable operation of microgrid system. Firstly, the artificial bee colony based support mechine (ABC-SVM) method is used to train historical meteorological data and photovoltaic output data, which can divide the weather condition into four categories. Secondly, tens of thousands of data are selected under four types of meteorological conditions, and each group of data is trained by particle swarm optimization based random forest (PSO-RF) model. After training, the four different PSO-RF model with different parameters can be obtained for the photovoltaic forecasting individually. Finally, we collect weather information and photovoltaic data from a microgrid station in Yangjiang Guangdong province to test our combined model. Numerical results show that the proposed approach achieves better prediction accuracy than the simple SVR and traditional RF methods.
EFFICIENCY OF USING ART-PEDAGOGIC MEANS IN HIGHER EDUCATION STAFF

EfficiEncy Of using Art-pEdAgOgic mEAns in highEr EducAtiOn stAff summary.The article analyzes the use of art pedagogy in high school.Art pedagogy is a young branch of pedagogy; it appears not only in Ukrainian education.The relatively small number of scientific studies on art pedagogy, the interest of practitioners in it and the effectiveness of its practical application by Ukrainian experimental teachers creates the need for further study and systematization of its theoretical foundations, their justification and practical implementation in the educational process.Therefore, the purpose of education should be to create such a pedagogical model that would help students actively study the necessary educational material, form the basis for a positively directed worldview, reveal their creative potential and at the same time not feel mentally and physically exhausted.The process of creativity in art pedagogy involves the discovery of something new: new objects, new knowledge and forms of knowledge acquisition.The potential of students, through the process of art pedagogy, they are confident in their abilities.in the ability to solve problems.Creative -any activity during which a search for problems is carried out; decisions are creative; Creativity is also an activity that goes beyond existing paradigms.Creativity in the pedagogical process is manifested through the development of creative abilities of students and is formed through the organization of search events.Educational and creative activities of students are aimed at solving educational problems, a creative approach to them, creative tasks and assignments.The principles of art pedagogy, which will allow students to carry out creative activities based on an inter-scientific approach.Art pedagogy borrows some fundamental theories and the progressive practical experience of pedagogy.For the modern educational system, the formation and development of students' creative activity is an urgent problem, but its solution is not adequately reflected in the pedagogical process.Creative activity of students on the basis of art pedagogy is a process aimed at self-expression, self-improvement, self-education, self-realization of a person.This is the result of experience, imagination, fantasy, manifested in creative activity.
A Survey on Face Recognition based on Age Invarient Technique

Human face check is an essential point in PC vision, imaging and multimedia as it characterizes the uniqueness and passes on one's personality. Recognition of face or personality is required to get to the rendered benefits by the licit individual as it were. Applications incorporate access to PC framework, ATMs, workstations, cell phones and so forth. Verification exactness may get fizzled in the event that it experiences any of the components recorded as variety in face pose, outward appearance, illumination and maturing. This study paper presents the panoramic perspective of movement in face recognition appropriate from the customary strategies to the most developed advances. Applications in various field, for example, security, machine recognition of faces in non-law authorizations (like travel permits, picture IDs, driving licenses) has been said. It additionally features the system (parameters, methods, database, machine learning strategies and so forth).
IOT Based Biometric Voting System

In earlier days, there are so many electoral systems i.e, paper ballots, punch cards.In the existing, fingerprint voting system was implemented using Arduino UNO technology.In this the information is first registered with help of user id and password.This information is checked by the data server and voting is done according to the information.Now we are proposing fingerprint voting system using Arduino Mega256 technology.For Finger print scanning we are using R305 module as a scanner.This module has in-built ROM and RAM.This module can operate in 2 modes they are Master mode and User mode.We will be using Master mode to register the fingerprints which will be stored in the ROM present on the scanner with a unique id. When this module is interfaced to the MEGA256, we will be using it in User mode. When coming to our application, only authorized persons can be available for voting, thereby avoiding rigging. This scanner is interfaced to MEGA256 microcontroller. By using this controller we will be controlling the scanning process. After the scanning has been completed the person has to press a key among available switches, immediately one vote is credited and stored in the server. The wifi module is used for accessing the webpage. After the voting has been completed if he presses the switch again, the vote will not be considered. If an unauthorized person tries to scan his image then an indication will be given by a buzzer which is interfaced to the controller. This project uses regulated power supply of 5V.
Handling of Categorical Data in Software Development Effort Estimation: A Systematic Mapping Study

Producing reliable and accurate estimates of software effort remains a difficult task in software project management, especially at the early stages of the software life cycle where the information available is more categorical than numerical.In this paper, we conducted a systematic mapping study of papers dealing with categorical data in software development effort estimation.In total, 27 papers were identified from 1997 to January 2019.The selected studies were analyzed and classified according to eight criteria: publication channels, year of publication, research approach, contribution type, SDEE technique, Technique used to handle categorical data, types of categorical data and datasets used.The results showed that most of the selected papers investigate the use of both nominal and ordinal data.Furthermore, Euclidean distance, fuzzy logic, and fuzzy clustering techniques were the most used techniques to handle categorical data using analogy.Using regression, most papers employed ANOVA and combination of categories.
Particle Cloud Model of Electromagnetic Data in Three-Dimensional Space

Data visualization is very important which transforms symbols or data into geometric figures that help researchers to comprehend the physical essence of a system especially in electromagnetic (EM) fields.In this paper, particle cloud model as a new path is introduced to depict the appearance of electromagnetic wave (EMW) which exhibits the energy value as well as the frequency of the EMW.By using such a model, the EMWs with different frequencies can be shown in one picture, making the visualization of EM data more efficient.
The Development of Respiratory System Teaching Material Supplement as a Caring Form of the Dangers of E-Cigarettes for Health

Based on KD (Basic Competence) 3.8 and 4.8 of class XI curriculum 2013 in respiration system material, in learning must be started from relevant facts often faced by students, one of which is in the subject of respiratory system disorders. Along with the development of age, respiratory system disorders caused by exposure to cigarettes are a problem that often occurs in adolescents. So, it is necessary to supplement teaching materials that support the main teaching materials to achieve these learning goals. The purpose of this study is to analyze the feasibility and effectiveness of supplementary respiratory system teaching materials developed. The research uses the Research and Development (R&amp;D) method based on 10 steps of R &amp; D research in Sugiyono (2015). The test and indicators for determining the feasibility and effectiveness of supplementary teaching materials are (1) feasibility tests include the study test and readability test each ≥ 51%, (2) test the effectiveness in improving learning outcomes with classical completeness test ≥ 70% of students who achieved a value of ≥ 70, medium to high N-gain test, and sensitivity index items ≥ 0.30, (3) effectiveness test in growing students' caring attitudes students with the percentage scale score of caring attitude ≥ 51%. The results show that the feasibility test is obtained by a 95% review test and 93% readability test, the effectiveness test for improving learning outcomes showed 87.5% of classical completeness results, N-gain score 0.7 (high), item sensitivity index questions 0.4 (sensitive), the effectiveness test in growing caring attitude shows overall on the caring criteria (there are 2 students or 6.25%) and very caring (there are 30 students or 93.75%). The conclusions in this study are respiration system supplementary material as supplementary teaching material is appropriate and effective in improving learning outcomes and also effectively fostering caring attitudes of students towards the dangers of e-cigarettes for health.
The application of artificial immune algorithm to earthquake relief route planning

Abstract After an extreme earthquake attacks an urban area with many mountains, the main objective of a search and rescue operation is to minimize the number of fatalities. Therefore the task of transportation rescue resources to operational areas is of great importance to disaster managers. This paper presents a quick path planning method based on Artificial Immune Algorithm (AIA) and helicopter operation performance in order to design an optimal path for an operational area. First, a simulation of an earthquake is implemented in environment only including terrain threat. Second, a more complex model contains terrain, weather, building and communication threats simulation is executed and the resulting performance measures are evaluated by considering the survival time and total value for taken out entrapped occupants in the disaster area. Additionally, the best parameters of planning path for dual helicopters to an operational area are determined. Further work will be dedicated to adding real 3D terrain model into the current threat model.
Agile Requirements Engineering: An Empirical Analysis and Evidence from a Tertiary Education Context

Aim/Purpose: The study describes empirical research into agile Requirements Engineering (RE) practices based on an analysis of data collected in a large higher education organization. Background: Requirements Engineering (RE) in agile development contexts is considerably different than in traditional software development. The field of agile RE is still nascent where there is a need to evaluate its impact in real-world settings. Methodology: Using a case study methodology, the study involved interviewing nine experienced software practitioners who reflected on the use and implementation of various agile RE practices in two software development projects of a student management system. Contribution: The primary contribution of the paper is the evaluation of agile RE practices in a large tertiary educational organization. Based on the analysis of the data, it provides valuable insights into the practice of agile RE in a specific context (i.e., education), but just as importantly, the ones that were omitted or replaced with others and why. Findings: While the evolutionary and iterative approach to defining requirements was followed in general, not all agile practices could be fully adhered to in the case organization. Although face-to-face communication with the customers has been recognized as one the most important agile RE practices, it was one of the most difficult practices to achieve with a large and diverse customer base. Addressing people issues (e.g., resistance to change, thinking, and mindset) was found to be a key driver to following the iterative RE process effectively. Contrary to the value-based approach advocated in the literature, the value-based approach was not strictly adhered to in requirements prioritization. Continuous integration was perceived to be a more beneficial practice than prototyping, as it allows frequent integration of code and facilitates delivering working software when necessary. Recommendations for Practitioners: Our study has important implications for practitioners. Based on our empirical analysis, we provide specific recommendations for effective implementation of agile RE practices. For example, our findings suggest that practitioners could address the challenges associated with limited face-to-face communication challenges by producing flexible, accessible, and electronic documentation to enable communication. Recommendations for Researchers: Researchers can use the identified agile RE practices and their variants to per-form in-depth investigations into agile requirements engineering in other educational contexts. Impact on Society: There are a number of new technologies that offer exciting new opportunities that can be explored to maximize the benefits of agile and other requirements techniques. Future Research: Future research could conduct case studies in different contexts and thus con-tribute to developing bundles or collections of practices to improve software development processes in specific contexts.
Implementation Paper on Top-K Nearest Keyword Search on Cloud using Graph Encryption

Now a days the security demands of data outsourcing applications is increasing and it is becoming an important issue in sustainable smart cities. Client's data which is encrypted has been widely accepted by industry. As the clouds and edges are not far trusted encryption of data should be done at client side and then it should be outsource. Therefore, it is challenging issue that how to correctly encrypt the data so that encrypted and remotely stored data can be queried to get it back. We noticed that not so much people have worked on approaches for graph -structured data encryption and support for graph queries answering so it is still lacking in studies. In this paper, we investigate one graph encryption method called top-K Nearest Keyword(kNk) searches .it is an important graph query type, several indexes are design to store information which is necessary to answer queries and to maintain the privacy or security about the graph .It may be vertex identifiers, keywords and edges. Our graph encryption methods are secure or not are demonstrated by theoretical proofs and experiments which is done on real-world datasets.
An Exploratory look at Data Extraction and Machine Learning for Detecting Fraudulent Financial Journal Entries

The Accounting and Auditing professions are just beginning to recognize the value of Data Mining and Analytics for detection of outliers and 100% population testing.At present, the Financial Auditing profession has relied heavily on random or judgmental sampling to validate the completeness and accuracy of financial statements.This paper will examine a proposed method of examining 100% of the past fiscal year's financial journal entries straight from the company in question's Enterprise Resource Planning (ERP) system, applying a machine learning algorithm to the data, and outputting potentially anomalous journal entries to be examined manually in more depth.
Experimental use of selected steganographic and crypto-graphic algorithms - laboratory workstation

The main task discussed in this publication was to prepare a laboratory stand to investigate the confidentiality of information processed. The first part of the article presents a comparison of the possibilities of two open license programs - encryption tools that implement encryption with the use of AES block cipher. The second part describes the operation of two programs created in C++ for the needs of the laboratory workstation. The first one performs classic, changeable encryption, the second one uses XOR operation for encryption.
On Accounting for Evaporation or Infiltration Free Surface in Some Problems of Filtration Theory

Within the theory of the flat established filtering of an incompressible fluid under Darci’s law in homogeneous and isotropic soil some tasks connected with currents in the presence of evaporation or infiltration on a free surface of subsoil waters are considered.
Outlier detection of time series with a novel hybrid method in cloud computing

In the wake of the developments in science and technology, cloud computing has obtained more attention in different fields. Meanwhile, outlier detection for data mining in cloud computing is playing significant role in different research domains and massive research works have been devoted to outlier detection. However, the existing available methods require lengthy computation time. Therefore, the improved algorithm of outlier detection, which has higher performance to detect outliers, is presented. In this paper, the proposed method, which is an improved spectral clustering algorithm (SKM++), is fit for handling outliers. Then, pruning data can reduce computational complexity and combine distance-based method Manhattan distance (distm) to obtain outlier score. Finally, the method confirms the outlier by extreme analysis. This paper validates the presented method by experiments with real collected data by sensors and comparison against the existing approaches. The experimental results show that our proposed method outperforms the existing.
A hybrid of fuzzy theory and quadratic function for estimating and refining transmission map

In photographs captured in outdoor environments, particles in the air cause light attenuation and degrade image quality.This effect is especially obvious in hazy environments.In this study, a fuzzy theory is proposed to estimate the transmission map of a single image.To overcome the problem of oversaturation in dehazed images, a quadraticfunction-based method is proposed to refine the transmission map.In addition, the color vector of the atmospheric light is estimated using the top 1% of the brightest light area.Finally, the dehazed image is reconstructed using the transmission map and the estimated atmospheric light.Experimental results demonstrate that the proposed hybrid method performs better than the other existing methods in terms of color oversaturation, visibility, and quantitative evaluation.
Research on the Practice of Innovation and Entrepreneurship Education in Applied Undergraduate Institutions from the Perspective of Innovation Driven

Innovation-driven is the aorta of the development of national power and the strategic pillar of the revitalization of Application-oriented Undergraduate colleges. It is of great practical significance to the development of innovation and entrepreneurship education in Application-oriented Undergraduate Colleges and to the improvement of studentsâ€™ innovation and entrepreneurship ability.