Reviewerly/exHarmony huggingface dataset:
Analyzing Power Grid, ICT, and Market Without Domain Knowledge Using Distributed Artificial Intelligence

Modern cyber-physical systems (CPS), such as our energy infrastructure, are becoming increasingly complex: An ever-higher share of Artificial Intelligence (AI)-based technologies use the Information and Communication Technology (ICT) facet of energy systems for operation optimization, cost efficiency, and to reach CO2 goals worldwide. At the same time, markets with increased flexibility and ever shorter trade horizons enable the multi-stakeholder situation that is emerging in this setting. These systems still form critical infrastructures that need to perform with highest reliability. However, today's CPS are becoming too complex to be analyzed in the traditional monolithic approach, where each domain, e.g., power grid and ICT as well as the energy market, are considered as separate entities while ignoring dependencies and side-effects. To achieve an overall analysis, we introduce the concept for an application of distributed artificial intelligence as a self-adaptive analysis tool that is able to analyze the dependencies between domains in CPS by attacking them. It eschews pre-configured domain knowledge, instead exploring the CPS domains for emergent risk situations and exploitable loopholes in codices, with a focus on rational market actors that exploit the system while still following the market rules.
Research Guides: Gender and Women's Studies (GWS) Portal: Citation Management

Your gateway to gender and women's studies resources at the UW-Madison Libraries and beyond.
Thai-IC: Thai Image Captioning based on CNN-RNN Architecture

The trend of news are represented in an image with a short description (or caption) and quickly shared on social media. Most short captions in many languages (e.g., English, Indonesian, Myanmar, Chinese, Arabic, etc.) are manually written by human. Instead of human labor, the visual objects within an image have enough information to autonomously generate the caption, called image captioning. Thai image captioning (Thai-IC) is such a new problem in Thai natural language processing (Thai-NLP) to make the model understand the image. This paper proposes an end-to-end deep learning model to generated Thai image caption. The model consists of encoding stage by convolutional neural network (CNN) and decoding stage by recurrent neural network (RNN). Visual geometry group in 16-layers (VGGNet-16) is used to extract visuals from an image as CNN-encoder. The visuals are used to generate Thai captions by Long-short-term memory (LSTM) as RNN-decoder. Thai captioning corpus is constructed by secondary and primary data that has 10,732 images. This Thai-IC is evaluated by Bilingual Evaluation Understudy (BLEU) on the 10-fold cross validation.
LibGuides: Metadata : Best Practices

This is a guide to introduce Emporia SLIM students to the subject of Metadata for LI 804 Organization of Information. How to Use Metadata
Industrial engineering and serrvice delivery in municipalities

Many municipalities have been faced with service delivery challenges.  Protests due to service delivery has been widely reported.  These challenges seem to be linked to inadequate institutional capacity, poor financial management and weak governance systems.  Industrial engineering techniques can be used to improve efficiency, effectiveness  and improve customer satisfaction. Tembisa's electricity department was investigated which forms part of the city of Ekurhuleni and a survey was completed by residents of the City of Johannesburg, specifically residents from Randfontein, Soweto, Diepsloot and Ivory park.  All these areas are expanding annually which increases the strain placed on the municipality. The purpose of this paper is to look at the potential difference industrial engineering techniques can make to service delivery of Municipalities.
LibGuides: SFCC Library Video Tutorials: Using the SFCC Library

On this guide you'll find SFCC Library video tutorials on library services and research help, including how to log into databases, request books, search for articles, and more.
The Effect of buyer–seller social capital on innovation performance by using customer knowledge development and commitment to innovation

The aim of this research is study and investigating The Effect of buyer–seller social capital on innovation performance through the mediating role of customer knowledge development and commitment to innovation. Statistical population included the marketing managers and research and development manager from the outstanding mineral-industrial export companies in global production networks that the number is 304 and the sample size was 262. In terms of purpose the present study is functional and the data collection method is descriptive. The Model has been investigated by structural equation modeling. The study's test results indicate that innovation performance is positively influenced by shared norms and trust through the mediation of customer knowledge development. Accordingly, innovation performance is also positively influenced by social interaction and shared norm through the mediation of the commitment to innovation.
The Students’ Reading Comprehension of Narrative Text At The Second Grade Of SMP Negeri 6 Kota Jambi In Academic year 2018/2019

Many students find some problem in reading. A major problem faced by the students in reading texts is that they often do not comprehend the overall have been major obstacles to understanding. Narrrative text is a text, shich related a serried of logically and chronologically related event that are cause or experienced by factor, there are generic structure, orientation, complication, resolution, reorientation or coda. The research is aimed at knowing how to  the students’ reading comprehension focused at narrative text in the second grade of SMP Negeri 6 Kota Jambi in Academic year 2018/2019. The research was conducted in a pre-experimental method. The subject of the research class VIII J,  this class consists of 36 students. This research, the data were collected from tests result. The tests consisted of pre-test and post-test, the instrument in this study was a test of students reading in  narrative texts and answer the questions about narrative stories, The test was in the form of multiple choice test with five alternative answer a,b,c,d,e with 20 test.  The finding of research was the mean score of pre-test is 40, and the mean score of post-test is 61,8. each test to find out the improvements of students’  reading comprehension in narrative texts.  The result of the research shows that the comparison of  Frequency Scores Pre-Test and Post-Test, the persentage of the students who got the score low  category in the pre-test (94,4%) and in post-test score high category (71,8%). It can be seen that in mastering narrative texts that can significantly improve students' reading comprehension skills. Key word : Reading Comprehension, Narrative Text.
Optimize Direction for Building Structures Based on Solar Energy Radiation in Hamedan

Today, the relationship between architectural climate and design for building structures and solar radiation is quite evident. Therefore, optimization of these structures during the warm and cold years will reduce energy consumption and increase productivity. In this regard, the present study tries to investigate the radiation conditions in Hamedan to optimize the building in hot weather with the lowest energy intake and in cold weather with the highest solar energy. In order to achieve this goal and calculating the solar radiation intensity on the vertical surfaces of buildings in Hamedan, using Excel software, the computational method was calculated by Cisco Stevenson, and the effective temperature calculations were used to distinguish between cold and hot periods. The results showed that the special geographical position of Hamedan, including its placement in the western half of the country, its coldness and its proximity to the Zagros-Alvand mountain range, has caused the need for energy in most months of the year (except in the summer and middle of the day) The sun is high. Also, the results indicate that the most suitable direction for the view of one-way buildings is to the south with a deviation of 15 degrees eastward and west. For the two-way buildings, the north-south direction is the ideal direction, because 18.6% of the sun's energy is related to the warm year and 81.4% of the cold year's energy. In four-sided buildings, especially class and apartment complexes, there are +75, 105, +165 and -15 best ones. In this regard, 29.5 percent of the solar energy is related to the warm year and 70.5 percent of the energy to the cold season
LibGuides: Dual Credit/Dual Enrollment Students:: Subject Specific Resources

Welcome to the DSU Library Dual Credit/Dual Enrollment Research Guide! Reference examples for articles, 8 or more authors, chapters, and websites.
Autonomous Mobile Robot

This project is to do research on autonomous mobile robot that is capable to localize and navigate autonomously in an indoor situation and create a new cyber-physical autonomous system for the indoor autonomous mobile robot. Most of the factory mobile robots nowadays uses marker-based localisation method, for example the mobile robots created by Chinese company named Alibaba which use in cargo transportation. This method is not highly efficient as the robot scan and follows the path of QR code on the floor with information in it. This does not guarantee the shortest distance from the starting point to the final destination. It only focusses on reaching the destination which is also important for autonomous mobile robot. The main objective of this project is to develop an autonomous mobile robot that can reach its destination with the shortest path and also the shortest time. To achieve the objective, researches on localisation, navigation, path planning, and object recognition is carried out and the best method among all the researches will be implemented into the project. For the experiment, there are 5 experiments that has been carried out to evaluate the performance of the proposed method which is the method that combined with vision-based localisation, A* path planning, and also developed obstacles avoidance algorithm. There are 2 types of experiment that has been carried out, one is real life and another one is simulation. The first experiment is carried out in simulation to determine the Manhattan heuristic method and Euclidean heuristic method, which is more suitable for this project. It turns out, Euclidean heuristic method is more time efficient, but there will be an angular movement which will cause the TurtleBot to collide with wall, hence experiment 2 is carried out in simulation to eliminate this problem. In experiment 2, a checking function is added into the system to command the TurtleBot to move away from the wall when the Lidar sensor sensed that it is too close to the wall. The third experiment is carried out in simulation to evaluate the performance of developed obstacles avoidance algorithm by comparing with Bug 2 algorithm. By utilising the camera attached on the ceiling, as the TurtleBot move closer to the obstacle, the Lidar sensor will sense the obstacle and return signal to the camera to re-capture and re-plan the route map. The fourth experiment is carried out in simulation to evaluate the performance of proposed method by comparing with SLAM method. And lastly, the fifth experiment is carried out to evaluate the performance of real-life proposed method by comparing with both simulation and SLAM method. In conclusion, A* algorithm with Euclidean heuristic shows the shortest time to reach the destination by implementing another checking function. Faster R-CNN able to detect both TurtleBot and exit. Vision based localisation method has been successfully achieved and obstacles avoidance function also successfully achieved by utilising camera and also Lidar sensor.
Deprem Eğitim Merkezi Gezisinin Ortaokul Öğrencilerinin Depreme Yönelik Tutumlarına Etkisinin İncelenmesi

In this study, it was aimed to examine the change in the attitudes on earthquake of the secondary school students after a student visit organized to earthquake education center which is one of out-of-school learning environment. The research was carried out in accordance with the nested mixed design, one of the mixed research methods. The study group of the research consists of 28 students studying at a secondary school in Izmit, Kocaeli in the 2019-2020 academic year. In the research, students participated in the earthquake education center trip as an experimental process. As a result of the research, it was determined that students' attitude points towards earthquake after application were higher than before application, and the difference between them was statistically significant. This result shows that the earthquake education center trip is effective in improving the attitudes towards earthquake of students. It was observed that the students frequently mentioned the things to be done before, during and after the earthquake after this trip. Students stated that the earthquake education center trip contributed to them, and they stated that had to do about the earthquake learned, had the opportunity to practice on the earthquake and acquired new knowledge.
Validating General Approach and General Framework for HCI Research

The chapter introduces the concept of the validation of knowledge. The latter comprises concepts of conceptualisation, operationalisation, test and generalisation. In addition, validation of knowledge also comprises superordinate criteria for each of the superordinate concepts – as completeness, coherence and fitness for purpose. These concepts and criteria are then applied to HCI knowledge acquired by HCI research. The concept of validation is applied to approaches to HCI research as topic or problem addressed, actions performed, evaluation conducted and successes cumulated. The concept of validation is also applied to frameworks for HCI research as discipline, general as common, general problem, particular scope, general research, general knowledge and general practices. The state of the validation of HCI frameworks assessed and failings identified. Case studies of HCI research are needed to make good these shortcomings of framework validation.
Robotar som uppfinner? – en patenträttslig studie av uppfinnarskap i ljuset av AI:s ökande medverkan i uppfinningsprocessen

Artificial intelligence (AI) is predicted to unleash a new industrial revolution, which is likely to leave no part of society untouched. Following the development of increasingly advanced AI-systems, patent offices around the world have begun to question the implications of this technology for the patent system. One of these queries is whether the AI-system itself, due to the increased participation of AI in the inventive process, can meet the requirements for inventorship and be recognized by the legal system as an inventor. Another enquiry is which natural persons meet the requirements for inventorship in an invention process that utilize an AI-system. A third question is whether it is possible that an invention can be produced without there being any natural person who meets the requirements for invention. This thesis attempts to answer these three questions by using a model for the participation of two different AI systems, artificial neural networks and evolutionary algorithms, in the invention process and thereafter analyzing such a process based on the Swedish rules of inventorship.The thesis finds that an AI-system cannot be recognized as an inventor for three different reasons. First, the AI system is unable to meet the requirements for inventorship. Second, the AI-system lacks legal subjectivity, which makes it impossible for the AI-system to be recognized as an inventor by the legal system. And third, the Swedish patent law only allows natural persons to be identified as inventors in the patent application. Furthermore, neither the purpose of the patent system as a whole or the purpose of identifying an inventor in the patent application requires that AI-systems are identified as inventors. The technological advance of AI must therefore be dealt with within the framework of the traditional rules of inventorship for natural persons.An inventive process that involves AI-systems contains several possible contributions that are sufficient for inventorship. It is theoretically possible for an AI-system to create a new solution to a technical problem without there being any natural person involved enough to be classified as an inventor. However, it is not possible for the technical solution in question to fulfill the requirement of an inventive step. It will therefore be possible, for all materially patentable inventions developed with the aid of an AI system, to identify one or more natural persons who meet the requirements for invention.In summary, the patent system’s rules of inventorship are currently well-suited to handle an invention process with increasing participation of AI-systems
LibGuides: TAS - Technology Mandatory - Year 7 - Digital Technologies - The Amazing Game 2021: Home

A selection of resources to support Year 7 Technology Mandatory students to complete their assessment task
LibGuides: Nursing: Websites

This guide is for the NCU specialization in Nursing. It contains resources available in the NCU Library.
Privacy Respecting Data Sharing and Communication in mHealth: A Case Study

The increasing usage of mobile devices within the healthcare domain and the social sector requires a closer look on privacy and security aspects of those systems. Major data breaches have been made public in recent years, which resulted in privacy issues for unaware users, ranging from loss of control over their data, to identity theft cases, up to discrimination because of political, religious or sexual orientation. To this aim, privacy enhancing technologies enabling privacy-preserving communication and data sharing are investigated in the context of an mHealth solution.
Transitivity Analysis of Hortatory Exposition Written by Third Years Student of English Education Program at Universitas Negeri Padang.

The purpose of this research is to find out types of process and the most dominant process types of transitivity system, and to find out types of circumstances and the most dominant types of circumstances in Hortatory Exposition Text written by the third year student of English Education Program at Universitas Negeri Padang. The data of this research were collected through a writing test on hortatory exposition. It found 866 clauses that were obtained from 23 texts of hortatory exposition texts. The result of this research was that six types of processes occurred in the text. There were material process (59%), mental process (12%), relational process (23%), behavioral process (2%), verbal process (2%), and existential process (3%). It was found that types of material processes were the dominant process found in students' writing. Also, the result of this research found eight types of circumstances, there were Extent (6%), Location (36%), Manner (24%), Cause (26%), Accompaniment (4%), role (2%), matter (1%) and Angel (1%). The dominant types of circumstances were Location. It indicates that the characteristics of hortatory exposition text are using the material process and circumstances of Location.
LibGuides: Remote Teaching in K-12 Education: Websites

This guide is for the NCU certificate Remote Teaching in K-12 Education. It contains resources available in the NCU Library.
Distances and Nearest Neighbors

At the core of most data analysis tasks and their formulations is a distance. This choice anchors the meaning and the modeling inherent in the patterns found and the algorithms used. However, there are an enormous number of distances to choose from. We attempt to survey those most common within data analysis. This chapter also provides an overview of the most important properties of distances (e.g., is it a metric?) and how they are related to the dual notion of a similarity. We provide some common modeling dynamics which motivate some of the distances, and overview their direct uses in nearest neighbor approaches and how to algorithmically deal with the challenges that arise.
A Study on the Quality of Online Education Services in the Department of Aviation Services using Traditional IPA and Revised IPA

This study seeks to examine online education that has replaced face-to-face classes and has become the center of university education, not the role of assisting face-to-face classes since Corona 19. To this end, the importance of online education service quality and the resulting satisfaction were examined through IPA analysis using the 253 part survey of aviation service students in Gwangju, Jeollanam-do, Jeonbuk, and Chungnam. The verification results of this study are as follows: First, a quadrant of high importance and high satisfaction was both important and satisfactory for professors' posture and expertise in traditional IPA analysis, and the revised IPA resulted in high importance and satisfaction of technical support and evaluation processes. Second, the two quadrants, which are of high importance but low satisfaction, are located only in the case of traditional IPA analysis, and were items of access to the education system, communication and information on employment. For the revised IPA, the same item is located in four quadrants, with two IPAs producing completely different results with the same item. Third, two IPA analyses were located in the three quadrants with low importance and satisfaction, and the items were found to be convenient to take, diversity in lecture content, and appropriateness of content. After conducting the traditional IPA, the revised IPA was to identify the difference between the two IPA analyses and to increase students' satisfaction with the quality of online education services based on the results, suggesting effective educational services in aviation services.
SOME ASPECTS OF DISTANCE LEARNING BASED ON INNOVATIVE TECHNOLOGIES

The need for digital transformation of education and the creation of a digital educational environment involves the creation and development of new teaching methods, including online, information and digital interactive technologies and means of communication; distance learning is a kind of testing ground for their effectiveness. The article provides detailed system information about the organization of distance learning in the discipline "Physics" at the don state technical University (DSTU).