Reviewerly/exHarmony huggingface dataset:
Smart Surveillence Robot for Weapon Detection

The present day surveillance and control systems still require human supervision and intervention.Also most of the surveillance systems are static and are used to monitor only limited area (CCTV).Hence we need a dynamic, robust system which can detect and alert about hand-held weapons (such as pistols and knives) and also the system needs to be mobile. This work presents a novel smart surveillance system which consists of a robot that is used for streaming live videos and can be remotely controlled .This is accomplished through the use of Raspberry-pi which controls the robot streaming the live video and artificial neural network trained to determine the presence of a threat. We reformulate this detection problem into the problem of minimizing false positives and solve it by building the key training data-set guided by the results of a neural network classifier. Histogram of Gradients (HOG) features have been chosen for the feature extraction phase and the extracted features are fed to neural network with a few hidden layers to achieve detection. Once the weapon has been detected , the system generates an alert message and automatically sends an alert message to the designated phone number. This system also aims in reducing the realtime processing time to deliver almost lag-free experience.
Penerapan Metode Tanya Jawab Pada Mata IPS Untuk Meningkatkan Hasil Belajar Siswa Kelas V SD Negeri 206 Apala Kabupaten Bone

The problem in this study is to find a picture of increasing student learning outcomes through the question and answer method in social science subjects (IPS) in class V SD Negeri 206 Apala Bone Regency. This research is a descriptive study with the focus of the research is 10th grade students of Elementary School 206 Apala Bone Regency. Collecting data with observation techniques, tests, and documentation, while Collecting data with observation techniques to capture data analysis activity data used is descriptive statistical analysis in the form of percentages and frequency tables. The results obtained by Grade V students of Elementary School 206 Apala Bone Regency in general experienced an increase in learning outcomes in social studies through question and answer by paying attention to aspects, namely: (a) increasing social studies learning outcomes, (b) being able to conduct question and answer to teachers or students another. While the efforts taken by teachers in the field of Social Sciences (IPS) studies in improving the learning outcomes of class V students, namely (a) training students to dare to ask questions, (b) training students to answer.
Mocking-up Desired UI Behaviors from UI Element-Based Recording

Software developers often ask for support from other developers, but effective communication about programming problems can be challenging. In the context of user interface (UI) development, effective communication about interactive behaviors of a UI is particularly difficult as it often requires a visual demonstration of the UI behaviors as supporting context. My motivational study found that our participants can always correctly understand a request when it includes video demos of the problem UI behavior and desired UI behavior. I summarized that an ideal request regarding a UI interactive behavior problem should include interrelated natural language description, relevant code, and demonstrations of non-desired and desired UI behaviors. I observed that developers often provide only the demonstration of not desired UI behavior and then describing the desired behavior on top of it. Unable to provide desired UI behaviors makes communication about UI behavior ineffective, and I argue this is a limitation of existing techniques. In this work, I would like to propose a solution to address it.
Use of Web Page Tag Information for Efficient Information Retrieval

The World Wide Web (WWW) contains enormous amounts of web pages which are accessible by users with the intent of searching information.Web pages are formatted using Hyper Text Markup Language (HTML).All the Web pages, pictures, videos and other online content can be accessed via a Web browser.This provides a very useful and helpful information.Information retrieval systems can help to retrieving the relevant information from web documents.This process of information retrieval involves three stages such as identifying the documents to be processed, writing of query and use of searching mechanism to retrieve the relevant information.With the demand of effective page ranking, we have discussed how HTML tag structure information is useful in searching mechanism to improve efficiency of web page information retrieval and provide relevant information.
Organization and Query Optimization of Large-Scale Product Knowledge

Knowledge graph is essential infrastructure of lots of intelligent Web applications. Recently, various types of knowledge graphs are designed and deployed to make the applications more smarter. However, the large amount and heterogeneity of product knowledge bring new challenges for managing such knowledge data. In this work, we propose a scalable framework for organizing large-scale product knowledge, which includes the objective product knowledge and the subject users’ opinion knowledge. In order to improve the efficiency of knowledge query, we design a hybrid index structure with a learned model and several B-Tree indexes. Finally, a join strategy based on the variable combination of aspect and opinion is proposed to implement the query optimization. The experimental results show that the proposed method can improved the query efficiency significantly on a large-scale product knowledge compared with a states-of-the-art knowledge management system.
DOES FOREIGN INVESTMENT CONTRIBUTE TO NATIONAL WEALTH AND SUSTAINABLE ECONOMIC DEVELOPMENT?

dOEs fOrEign invEstmEnt cOntriButE tO nAtiOnAl WEAlthAnd sustAinABlE EcOnOmic
Dual Axis Solar Tracker with PWM Inverter

The dual threats of energy depletion and heating place the event of strategies for harnessing renewable energy resources at the middle of public interest. solar power is one among the foremost promising renewable energy resources. solar power is clean, cheap, renewable, and extravagantly offered supply of energy and therefore several researchers specialise in the techniques of skyrocketing absorption of solar energy for various sensible applications. star trailing system plays a significant role during this field owing to the importance of trailing the sun and increasing absorption of solar power throughout the day lightweight temporal arrangement. This paper presents a brand new style of twin axis star trailing system that's able to create the solar array turn out most power throughout its operate. Sun trackers will well improve the electricity production of a photograph voltaic (PV) system. This paper proposes a completely unique style of a dual-axis star trailing PV system that utilizes the feedback management theory in conjunction with a four-quadrant lightweight dependent electrical device (LDR) sensing element and easy electronic circuits to produce strong system performance. The planned system uses Stepper motor for twin axis management and a complete PV electrical converter to accomplish star trailing. The four quadrant LDR sends the star intensities of every quadrant to the small controller. The small controller drives the stepper motor in precise steps to realize equal intensities to any or all four quadrants that provides most solar energy to the PV system. The harvested solar energy is reborn to AC employing a electrical converter to that the masses are often connected.I.
A Design and Experiment of Automation Management System for Platform as a Service

Security [11] and quality [4] of cloud computing (CC) services represent significant factors that affect the adoption by consumers.Platform as a Service (PaaS) is one of CC service models [14].Management of database systems, middleware and application runtime environments is automated in PaaS [2].PaaS automation management issues and requirements were collected in three rounds from information technology experts using Delphi technique.In this paper, PaaS automation quality and security management system (MS) layered model is proposed and validated.The aim of the MS is enabling PaaS model for mission critical platforms.Validation of the MS was based on experiment in a private cloud for an organization undergoing a transformation toward PaaS computing.
Research on Significance and Model of Sports Information Management in Primary and Secondary Schools

Sports informationization management is an important part of the development of education informationization. Through literature analysis and field research, this paper analyses the significance of existing data collection and analysis technology in primary and secondary school sports informationization management, and summarizes its feasible operation mode.
Research Activities of Students within the Framework of Continuous Education Concept

The ongoing changes in public life and the socio-economic sphere provided all categories of citizens with a historic chance to expand their life choices. In this regard, the possibilities for meeting the educational needs of persons with disabilities are significantly expanded. The main task in the conditions of a new reality is to prepare young people with disabilities to choose a profession, receive a full-fledged education and self-realization. The decisive factor in the choice of a profession is the satisfaction of an individualâ€™s need for self-realization in order to establish himself in society. For persons with disabilities a serious difficulty is the solution of such tasks as the objectivity of self-esteem, the ability to realize the chosen individual educational and professional trajectory. A review of the main types of web quest has been made, the role of the use of this technology in the formation of professional qualimetric culture has been determined.
Comparison of SNR Values for Different Wavelet Functions using Wavelet Packet Transformation

In recent years an important contribution to the world of science has been electrocardiogram (ECG).It is no doubt an important Signal in biomedical science.This ECG is being analysed through a particular processing of wavelet transformation.It offers a reliable and valuable source of information for the expertise.It further adds the information regarding the heart disease.Among scores of techniques that are used for its analysis, wavelet transformation produces the best result and is very much acute in the diagnosis of cardiac arrhythmias.However, it needs an ECG with a minimum possible noise trapped during the processing of ECG.Recognising the importance of different methods that have been used so far, the paper intends to propose an algorithm for denoising the process of ECG.It is cogent to mention that the conduct of SNR values are noticed based on three mathematical formulae derived from an increasing function associated with threshold values.A comparison of SNR values between synthesis ECG and corresponding details coefficients is also discussed.Finally a comparison of SNR values obtained on using Haar Wavelet, Symlet-2, db-3, coef-2 and bior-1.3wavelet in the proposed algorithm is shown.This algorithm is performed on a sample of ten ECG provide by MIT BIH Arrhythmias data base through an important transformation method namely Wavelet Packet Transformation.
Layered Privacy Language Pseudonymization Extension for Health Care.

Enforcement of General Data Protection Regulation strengthens privacy in Europe and especially emphasizes protection of special categories of data as required in health care. Layered Privacy Language intends to model privacy policies to enforce them. Hereby, a special focus lays on the Policy-based De-identification process, which is based on anonymization and privacy models. Motivated by a health care scenario, this work shows pseudonymization capabilities are essential for health care. An overview of pseudonymization methods is given, showing a great variety of methods for different use cases. Therefore, a pseudonymization extension for Layered Privacy Language is introduced to define several pseudonymization methods. Furthermore, pseudonymization is added to Policy-based De-identification process of the overarching privacy framework of Layered Privacy Language. An example policy configuration is given demonstrating the introduced pseudonymization extension on the given health care example. The results are discussed, concluded, and future work is introduced.
Search Technique on Encrypted Cloud Data for Conceptual Information

With the improving promoting of cloud computer, an expanding variety of individuals outsource their datasets to darkness. To protect the individual privacy, the datasets are usually secured prior to contracting out. Nevertheless, the usual technique of data security makes the efficient usage of the information difficult. Keyword-based search systems overlook the semantic depiction information of person's access, as well as likewise can not entirely fulfill clients surf objective. Because of that, simply exactly how to make a content-based search system along with make semantic search a whole lot much more reliable as well as likewise context-aware is a difficult problem. In this paper, we recommend one-of-a-kind semantic search plan based upon the principle class structure as well as likewise the semantic link in between concepts in the encrypted datasets.To better increase the search performance, we take advantage of a tree-based index structure to prepare all the document index vectors.
How Workspaces Influence Software Development? Preliminary Results of a Systematic Literature Review

This work brings to light the preliminary results of a literature review showing what physical elements of workspaces have been studied in software engineering, and what are their known impacts on software development performance. A systematic literature review has been conducted, covering a period of 16 years of publications in software engineering field. Seven dimensions of workspace factors were mapped and we present the impacts of these factors on elements of software development performance, such as communication and collaboration. This article evidences the fact that there is not a generally accepted best model for software development workspaces, and that there is still much room for investigation in this topic
Search for the Memory Duplicities in the Java Applications Using Shallow and Deep Object Comparison

In high-level object languages, such as Java, a problem of unnecessary duplicates of instances can easily appear.Although there can be a valid reason for maintaining several clones of the same data in the memory, often it indicates that the application can be refactored into a more efficient one.Unnecessary instances consume memory, but in case of Java applications can also have a significant impact on the application performance, as they might prolong the time needed for the garbage collection.In this paper, we are presenting a method and a tool that allows detecting duplicity in the heap dump of a Java application, based on the shallow and deep object comparison.The tool allows to identify the problematic instances in the memory and thus helps programmers to create a better application.On several case studies, we also demonstrate that the duplicates appear not only in the student projects and similar programs that often suffer from poor maintenance but also in commonly available Java tools and frameworks.
An Optimal Path Planning Proposal for Motion Robots with Specific Constraints Applicable in Biomedical Engineering

Optimal path planning for motion robots is an interesting research subject with many applications in various domains including biomedical applications when a mobile robot can distribute medication for patients. A fuzzy environment with object approximated by ellipses is a common situation in terrain applications when a mobile robot must find an optimal route. In some situations, e.g. biomedical applications, some additional constraint related to medical instrumentation impose to find some pathway where a mobile robot must be at an equal distance between the objects in order to have a good balance between possible electrical influences or specific requirements. The results show a feasible solution that can be implemented for predefined routes which must go among a marked set of objects, left and right parts of the mobile robot.
Exploration the Information Reform of Majors Partition Process

Majors partition is an important task in the universities. At present, Most of the partition process is completed by manual diversion, which is heavy, time-consuming, easy to make mistakes, and low efficiency. The paper explored the Information reform of majors partition process of the universities which realized the informationization of filling voluntary, diversion of major information and division of professional classes, and to discuss the majors partition admissions algorithms and professional division admission algorithms. It has solved the practical problems of diversion work in universities, and has reduced mistakes, saved labor and saved time
Correction to: Expressiveness of component-based frameworks: a study of the expressiveness of BIP

The Original Article has been funded.
"The Methodology of Creating of a Personal English Course book in Vocational Education and Training"

The paper presents the methodology of designing a personal foreign language course book in Vocational Education and Training where a college student acts not only as a passive learner but also as an original co-author.
Investigation of Sensor Data Fusions using Continuous-Time Decentralized Kalman Filters (DKF)

The integration of sensors deals with the accumulation of information from two or more sensors in network.However the accumulation of data is typically the subject of research in the area of image analysis.Generally the reliability of collected data might induce the problem of reconstructing to get its original form.The Various fusion technique has already been implement for text data, image data and video data.The general exploration in the sensor data fusion is to understand the behavioral pattern reformation of real time capturing with sense of accuracy.This also handle out the problems of localizing, navigation and tracing problem.This paper is to study of Kalman Filters technique with their key feature of State Vector Fusion, Measurement Fusion, Gain Fusion.The mathematical formulation for the data fusion of sensors derived through the State Vector Fusion (SVF) and covariance time propagations.The present investigation is to analysis of process of dynamically maintaining a model of the local external environment and deep exploration of fusion technique using time decentralized Kalman Filters (DKF).Fusion of perceptual information is at the heart of data fusion process.
Problems and Reflections on the Construction of the Teaching Staff in Higher Vocational Colleges

The "Double tops" construction is an inevitable choice for the connotative development of higher education and the strengthening of its own construction. In this context, local higher vocational colleges, as an important part of the higher education system, should seize the opportunity to take the initiative. This paper analyzed the necessity and the existing problems of the construction of teaching staff in local higher vocational colleges, and put forward relevant countermeasures to strengthen the construction of higher vocational teaching staff and provided the basis for building a team of modern vocational teachers with Chinese characteristics and world level quality.
Productivity Lecturer in the Era of the Industrial Revolution 4.0: Confirmatory Factor Analysis (CFA)

Confirmatory Factor Analysis (CFA) is a technique for finding some indicator variables that form variables/constructs that are not directly measured based on existing theories or previous studies.The purpose of this study is to find out the indicators of the most dominant variance/construction affecting it.The results of the analysis will show variables forming indicators that can explain variables.The research method used is the technique of taking respondents through simple random sampling -the number of sample respondents used as many as 100 lecturers at the university.The IBM AMOS Program is used to analyze the Confirmatory Factor Analysis (CFA).Leadership, Organizational Culture (campus), and Work Productivity are variables in the study.The results of the Goodness of Fit test obtained all parameters showing excellent results, and the analysis can continue.The results showed that the most dominant indicators were effectiveness for productivity variables, motivational indicators for leadership variables, and professionalism indicators for organizational culture (campus) variables.There is still an indicator that has not fulfilled the requirements (loading factor worth <0.500) of each research variable, which indicates a tendency to shift value towards each variable.
THE INFLUENCE OF SOCIETY TO THE STUDENTS SKILL IN ENGLISH TO THE SECOND YEAR STUDENT OF SMPN 5 TANDUN

The pupose of this research is carried out in order to find out how far the influence of society to the students skills in English to the second year students of SMPN 5 Tandun in 2018/2019 academic year is. The library research is applied based on the needs of the books as the sources of the theories and informations, and the field research is applied on the need ofdata from the field, in this case from SMPN 5 Tandun. As the instrument for collection the data, the writer uses test. After getting the data, the next step which is done by the writer is analizing it by using the statistical analysis. The students‟ skill English are also influenced by other factors, like the students‟ motivation, interest, aptitute, the method applied by the teachers in teaching, the school facilities, the family factor, etc. After finishing collecting and analyzing the data it has been known that there is a significant influence of society to the students‟ skill to the second year students of SMPN 5 Tandun. It means that the hypothesis of this research is accepted.
Research on the Identification of Emotional Tendency in the Intelligent Composition Evaluation

Emotional evaluation is an important reference data for intelligent teaching, by evaluating the student's emotions, it is possible to analyze whether his temporary psychological state is the best learning state. And whether his constant psychological state is positive and healthy or not, does he have a psychological problem? We propose an emotion evaluation system which is quantitative and suitable for computing after the investigation of pedagogy, developmental psychology, group psychology, and humanistic psychology for intelligent composition evaluation to assess on student's psychological state. We will explain in this paper how to evaluate students' emotion through emotion evaluation system.