Reviewerly/exHarmony huggingface dataset:
Implementation of Authorization Framework for EHR Services using Enhanced Attribute Based Encryption

Electronic Health Record (EHR), which is based on cloud systems are with the features like big storage, clinical research with efficiencies as well as fostering collaborative care with several improvements for the future generation. In the past years we experienced the great development in the data-storage of cloud system's Electronic Health Records (EHRs), here in this the integration of electronic systems and cloud computing is developed to make the medical information exchanges easy between patients as well as the healthcare centers; it generates these kind of centers to do their work in low economic way along EHRs availability. So it is needed to improve an authoritative form to proceed well guarded EHR Service management. Thus the novel is given in a scrutinized form, which make use Attribute Based Encryption (ABE) with high safety for the information of patients. So this kind of framework, which is there in the edge will developed with the usage of Enhanced Attribute Based Encryption (E-ABE); for providing safe transformation of information by sharing data for organizations. This research work contains a novelistic approach with the ideology of prototype which is developed for the evaluation of framework. So this system gives the data of patients to medicine dealers on the basis of EHR system.
Placement Optimization of Surveillance Cameras: Visibility Analysis

India’s focus on smart urban environments opens an opportunity to evaluate the applicability of technological advancements. This also however brings new challenges home, with safety being the foremost. There is dire need to monitor common public spaces in urban setup with surveillance cameras to address safety concerns. One of the main issue that is faced in camera surveillance is choosing locations to ensure the maximum possible coverage. This was achieved through visibility analysis of urban environment. UAV data provides higher spatial resolution and hence detailed information is obtained from it. Such a data is especially useful in urban areas where there is a need for precise analysis of the urban landscape for various applications. Better inclusion of vegetation is expected with elevation models and point cloud data which is generally neglected in the crude 3D models. Dense point cloud which was obtained from the UAV data and its surface reconstruction was used for analysing visible spaces. Analysis of visibility maps has been done from the isovists generated for each vantage point (camera placement) with ray tracing method.
Enhancement of the Heuristic Optimization Based Extended Space Forests with Classifier Ensembles

Extended space forests are a matter of common knowledge for ensuring improvements on classification problems. They provide richer feature space and present better performance than the original feature space-based forests. Most of the contemporary studies employs original features as well as various combinations of them as input vectors for extended space forest approach. In this study, we seek to boost the performance of classifier ensembles by integrating them with heuristic optimization-based features. The contributions of this paper are fivefold. First, richer feature space is developed by using random combinations of input vectors and features picked out with ant colony optimization method which have high importance and not have been associated before. Second, we propose widely used classification algorithm which is utilized baseline classifier. Third, three ensemble strategies, namely bagging, random subspace, and random forests are proposed to ensure diversity. Fourth, a wide range of comparative experiments are conducted on widely used biomedicine datasets gathered from the University of California Irvine (UCI) machine learning repository to contribute to the advancement of proposed study. Finally, extended space forest approach with the proposed technique turns out remarkable experimental results compared to the original version and various extended versions of recent state-of-art studies
14: Industrie 4.0, Vorlesung, WS 2018/19, 01.02.2019

14 | 0:00:00 Start0:01:24 Syllabus - Winter Term 2018/19 0:01:50 Variants of Anomaly Detection Problem 0:03:24 Unsupervised Anomaly Detection 0:04:34 Statistical Outlier Detection 0:07:21 Classification Based Techniques 0:17:31 Manipulating Data Records 0:21:01 Predictive Maintenance Example in MATLAB 0:22:33 Predicitive Maintance Done by Humans 0:23:44 References for Today's Class 0:24:05 Predictive Maintenance Software 0:25:46 Where to Find Data Analyze? (and Play with)0:27:34 Recap Resources 0:28:01 Rolling Element Bearing Fault Diagnosis 0:28:46 Ball Pass Frequency 0:29:48 Rolling Element Bearing Fault Diagnosis 0:30:04 MFPT Data Set0:30:28 Inner Race Fault Data 0:30:50 Time Domain - Closer Lock0:31:08 Single Envelope Spectrum Analysis 0:31:46 MFPT Data Set 0:38:46 MATLAB Examples
A PESQUISA-AÇÃO COMO ESTRATÉGIA METODOLÓGICA NA CIÊNCIA DA INFORMAÇÃO

The conceptual and identity perspectives of Information Science are plural, as are the problems it seeks to solve and the methods used to do so.Based on the theoretical assumptions of Wersig, Nevelling, Saracevic, Borko, Cronin, Souza, Silva and Freire, about the origin, definition and nature of Information Science, this study aimed to highlight action research as a viable methodological tool for the development of qualitative research.It starts from the premise that this scientific field needs more Perspectivas em Gestão & Conhecimento, João Pessoa, v. 9, n. 3, p.130-146, set./dez.2019. 131research that combines theory with practice, providing opportunities for interventionist solutions and models to solve collective or social problems.The action research methodology has been the subject of studies and discussions at the Research Group on Project Management in Education, Science, Information and Technology, at the Federal Institute of Paraíba, and at doctoral level, in a thesis research in Information Science., developed at the Federal University of Paraíba, where this research originated.Regarding the methodological procedures, this study is characterized as theoretical, reflexive and propositional, of qualitative nature and interpretative approach, which used the techniques of bibliographic research and document analysis.We identified 29 pertinent articles on the subject, published nationally in the area of Information Science, from 2001 to 2018.The study points to the possibility of using action research in studies with diversified purposes in Information Science, such as elaboration of thesauri, tutorials, models, collection development policies, information literacy programs and information policies.
Komparasi Metode Titrimetri Dengan Spektrofotometri UV-Vis pada Analisis Chemical Oxygen Demand (COD) Output IPAL Domestik Berdasarkan Linieritas, Akurasi dan Presisi

The method of a test must be evaluated and tested to ensure that the method is capable of producing valid data. So that validation needs to be done as a quality control that provides assurance that the measurements and results obtained are reliable. This study aims to determine the value and comparison of the values of linearity, accuracy, and precision of the titrimetric and spectrophotometric methods in COD analysis. Determination of the COD value for the titrimetric method was carried out by redox titration using a solution of Ferro Ammonium Sulphate (FAS). While the spectrophotometric method was carried out using UV-Vis spectrophotometry at a wavelength of 420 nm. The research results obtained a linear regression value for the titrimetric method of 0.9989, while the spectrophotometric method was 0.9991, this indicates that the linear regression value of the spectrophotometric method is better than the titrimetric method. The results of the accuracy analysis for the titrimetric method obtained a value of 111.48%, while for the spectrophotometric method it was 103.11%, this shows that the accuracy value of the spectrophotometric method is better than the titrimetric method. The precision analysis results for the titrimetric method obtained a value of 1.77%, while for the spectrophotometric method it was 1.55%, this shows that the spectrophotometric method has a better precision value than the titrimetric method. Based on the comparison of the results of statistical validation using the T-test, there was no significant difference in data between the titrimetric method and the spectrophotometric method.
Advanced multi-attribute passive seismic monitoring analysis for seismic hazard assessment in active fault zones

Disclaimer Text and Data Mining. Any automated analytical technique aimed at analysing text and data in digital form in order to generate information including - but not limited to - patterns, trends and correlations (so-called Text and Data Mining) may only be applied if it is done by a research organisation or cultural heritage institution solely for the purpose of (non-commercial) scientific research as mentioned in Clause 3 of Directive (EU) 2019/790 (the Digital Single Market Directive) and Clause 15n of the Dutch Copyright Act [Auteurswet]. Text and Data Mining for commercial purposes is not allowed; all rights in this respect are reserved pursuant to Clause 4 paragraph 3 of the Digital Single Market Directive and Clause 15o paragraph 1 of the Dutch Copyright Act.
THE RELATIONSHIP BETWEEN FOOD SAFETY KNOWLEDGE AND SUCCESSFUL IMPLEMENTATION FOOD SAFETY MANAGEMENT SYSTEM

Training of personel who are engaged in food safety management system implementation and personel who handle with food is very important for efficiency of food safety management system.Companeis very offten has a problem with assessing food safety knowledge because in standards are not defined methodlogy for this assessment.In this research we try to explore level of knowledge obout food safety amnog HACCP team members and food handlers in Bosnia and Herzegovina.A structural food safety knowledge questeionarie was developed for assessing knowledge separate for HACCP team members ad food handlers.Data were collected from 80 HACCP team members and 740 food handlers.A majoriti of HACCP team members (70,0%) has food safety training in previous three years Also, food handlers in most cases has apropriate food safety training in previous three years (80,1%).The overall test result were 83,63 % of correct answers for food handlers and 72,33% for HACCP team members.It is also sigificant that the HACCP team members has a better result in companies who are certify according one of GFSI approved certification sheme.It is recommended to companies, associations of companies, scientific institutions, consulting organisations to develop specific food safety training on higher level for HACCP team members and methodology for official assessment of food safety knowledge.
Real-Time Self Localization for Autonomous Robot of RoboCup MSL

This paper presents a self localization technique using an omni-directional camera for an autonomous soccer robot.The position information of the robot is important for strategic behavior and cooperative operation.Therefore, we have proposed the self localization method which generates the searching space based on a model based matching with white line information of soccer field, and which recognizes the robot position by optimizing the fitness function using Genetic Algorithm.
The entrainment of EEG delta oscillations in speech listening

Research on the sensory entrainment of neural oscillations provides a novel way of understanding how the brain processes spoken language without postulates of interim linguistic units.Several reports have shown that oscillations in the theta range (3-10 Hz) are entrained by syllable-size modulations in the energy envelope of speech.This entrainment has recently been shown to provide sensory frames in processing feature-related cues.A similar perspective has been applied to delta waves (< 3 Hz).Thus, it is suggested that delta entrains to long ("sentence"-size) energy contours, and this would provide processing frames involved in utterance comprehension.The present paper adopts a different viewpoint based on our previous work showing that delta-size perceptual chunks in speech relate to an online sensory memory of sequential information.We used electro-encephalography (EEG) to monitor listeners (n=18) on-line responses to utterance stimuli with controlled patterns of energy, pitch, and temporal marks.Measures of inter-trial phase coherence in neural oscillations show that delta specifically entrains to temporal chunks in the stimuli.This supports a view that delta is not entrained by sentence-size patterns but by perceptual chunks which provide sensory frames in processing incoming sequential information in heard speech.
Paulo Coelho’s Depiction of Human Conflict in The Zahir

This study is focused to identify the character and how the main character’s conflict depicted in the novel of The Zahir by Paulo Coelho. In explaining the aim of the study, the writer applies the structuralism analysis which highlights to find the relation and connection among the elements of literature. From the analysis, the writer finds that the main character’s traits are related to the setting and the conflicts that run in the plot of the novel. The main character faces two conflicts; they are external and internal conflicts. These conflicts occur through character and how he/she tackles the problems which are reflected in human life.
COMPLEX SYSTEM OF MONITORING OF MODERN INTERACTIVE WEB-GAMES

This paper discusses a comprehensive approach to monitoring key parameters of modern web-based games. The basic and secondary monitoring parameters have been identified, and they have been divided into two main categories for complete independence of technical and business processes. Possibilities of modern monitoring systems and the basic approaches of observation, forecasting and statistics of the main parameters of interactive applications are analyzed. The structure of a comprehensive approach to monitoring the basic and minor parameters, which are necessary to ensure non-failure and round-the-clock monitoring of applications, is developed. In developing the structure of complex monitoring, the principle of modularity was used, which ensures complete interchange of monitoring systems with other such systems, as well as ensures the independence of monitoring the parameters of web-games with the help of several different monitoring systems. A list of the most up-to-date and most convenient monitoring systems has been formed to perform the basic functions of monitoring, maintaining statistics and forecasting further development. Advantages and disadvantages of modern systems are considered. The general description of the selected monitoring systems with regard to the tasks assigned to them is given. The basic generalized monitoring parameters that can be applied in the process of monitoring modern web-based games are given, taking into account the distribution of the main and secondary, technical and business processes, as well as external and internal positioning.
Increasing the accessibility of NLP techniques for Defence and Security using a web-based tool

As machine learning becomes more common in defence and security, there is a real risk that the low accessibility of techniques to non-specialists will hinder the process of operationalising the technologies. This poster will present a tool to support a variety of Natural Language Processing (NLP) techniques including the management of corpora – data sets of documents used for NLP tasks, creating and training models, in addition to visualising the output of the models. The aim of this tool is to allow non-specialists to exploit complex NLP techniques to understand the content of large volumes of reports.NLP techniques are the mechanisms by which a machine can process and analyse text written by humans. These methods can used for a range of tasks including categorising documents, translation and summarising text. For many of these tasks the ability to process and analyse large corpora of text is key. With current methods, the ability to manage corpora is rarely considered, instead relying on researchers and practitioners to do this manually in their file system. To train models, researchers use ad-hoc code directly, writing scripts or code and compiling or running them through an interpreter. These approaches can be a challenge when working in multidisciplinary fields, such as defence and security and cyber security. This is even more salient when delivering research where outputs may be operationalised and the accessibility can be a limiting factor in their deployment and use.We present a web interface that uses an asynchronous service-based architecture to enable non-specialists to easily manage multiple large corpora and create and operationalise a variety of different models – at this early stage we have focussed on one NLP technique, that of topic models.This tool-support has been created as part of a project considering the use of NLP to better understand reports of insider threat attacks. These are security incidents where the attacker is a member of staff or another trusted individual. Insider threat attacks are particularly difficult to defend against due to the level of access these individuals gain during the regular course of their employment. The wider use of these techniques would generate greater impact both tactically in defending against these attacks and strategically in developing policy and procedures. There are tools available, however they are often complex and perform a single-task, limiting their use. To generate maximum impact from our research we have developed this web-based software to make the tools more accessible, especially to non-specialist researchers, customers and potential users.
MANAGING DIGITAL LITERACY FOR QUALITY ASSURANCE OF FEDERAL UNIVERSITIES IN NORTH CENTRAL NIGERIA

The study investigated the relationship between lecturer's digital literacy and quality assurance of Federal Universities in the North Central Nigeria.A descriptive survey design of correlation type was adopted for the study.Population of seven Federal universities and 2658 academic staff were used for the study.Stratified Random sampling technique was used to sample 700 respondents from the institutions.Four research questions and four hypotheses were generated to guide the study.The instrument tagged Digital Literacy and Quality Assurance Questionnaire (DQAQ)" was used for data collection from the respondents.Test-re-test reliability was used to determine the reliability index of the study.The method was subjected to Spearman ranking order statisticsl.The reliability index of .78showed that the was reliable for use .The data collected were subjected to statistical package of social sciences (SPSS) 2.50pt.Descriptive statistics like Mean and Standard Deviation and percentages was used to answer all the research questions raised.Pearson Product Moment Correlation Statistics was used to test hypotheses one to three while hypothesis four was tested using t-test statistics all at 0.05 significance level.The findings reveale that low significant relationship existed between Lecturers' digital literacy utilization and quality assurance of Federal Universities in North central Nigeria and that of significant differences that existed between senior and junior cadre lecturers in digital usage and competences.Both recommendations and conclusion was made.
High-Tech Architecture Perspectives of Sports Hub in Singapore

in the 21st century, the need for effectiveness and flexibility in any activity is a necessity that must be fulfilled so that people can compete well.One of the examples is sports.The need, especially in sports, is marked by the growth of interest in sports in developed or developing countries.Besides, to fulfill the need for effectiveness and flexibility, architecture continues to innovate by creating a space that can accommodate the needs of people's lifestyles in the 21st century.Sports Hub is a sports destination consisting of the sports center and support facilities such as commercial centers, retails, and communal spaces.Sports Hub has a structured arrangement of interconnected spaces so that users can easily access various kinds of facilities in the building.Singapore, which is categorized as a developed country in Southeast Asia, has an Olympic-scale sports hub that can accommodate various types of events, such as Olympic games, music concerts, national events, etc. the Singapore Sports Hub located in Kallang, which was built in 2014.Based on observation, Singapore Sports Hub has applied High-tech architecture principles, such as by exposing the interior and structure (inside out), the use of transparent materials on the roof cover, and has inner space and outer space that can be functioned for certain occasions (flexible space).For these facts, this study aims to find out the maximum and effective use of the High-tech architecture principles in Singapore Sports Hub.To study and explore the building, this study used a qualitative method that is sourced from secondary data such as printed and electronic literature.The object of observation is reviewed by high-tech architecture principles so that the tentative conclusions can be obtained through aligning both data.Conclusions are drawn based on the number of aspects that fulfilled the Hightech architecture criteria.The objects are assessed by using the principles of High-tech architecture, such as; block plan (building mass), site plan (outdoor space), floor plan (indoor space), structure, material, and façade.Based on data and analysis, it has been acquired that the application of the Hightech architecture principles of Singapore Sports Hub in Kallang, Singapore, has applied six out of seven principles of High-tech architecture optimally, specifically: 1. Inside out, 2. Celebration of process, 3. Transparent, coating and movement, 4. Lightweight and tensile structure, 5. Optimistic in scientific culture, 6. Flexible space.
EFL Students’ perspective toward video log (v-log) as a teaching model in millennial 4.0 era

The study was conducted to describe the student’s perspective toward video log teaching model in millennial 4.0 era in Ahmad Dahlan University by EFL students who have learning experience by using V-log in one semester of pre-advance speaking course.This design of this study is descriptive quantitative research. The sample of study were 32 students of pre-Advance speaking subject, it was used total sampling technique. The data collections were used close-ended and open ended questionnaire and un-depth interviewed by lecturer.  The results revealed the high percentage in 37,51% on V-log improve students’ motivation and self-confidence to practice English. It is also support by open-ended questionnaire V-log as an innovative assignment to increase student’s motivation and confidence to speak English English. Then, V-log as a source of learning media in the classroom by the percentage 35,56%. Moreover, V-log increase class participation and pronunciation skill is 28,56%. It is support by open-ended questionnaire V-log as a teaching model effective to enhance speaking and pronunciation ability. Based on un-depth interview, V-log helps increase students' motivation and self-confidence this teaching model is to control students using English because it forces them to practice speaking English outside the classroom.