Reviewerly/exHarmony huggingface dataset:
SOME OBSERVATION OF ALGORITHMS DEVELOPED FOR ANOMALY DETECTION

With the growth of social networks tremendous amount of data are generated in a regular interval of time that can be our search histories, likes, shares, posts, comments, etc.The generated data are publicly available which may become the prime target for the malicious users, who try to attack and harm the innocent users.Using anomaly detection techniques, we can identify the unusual behavior of such users.In social networks, anomalies can be detected by exploring the pattern hidden in the network.This paper mainly focuses on the graph mining techniques used for anomaly detection in social networks.The algorithm for anomaly detection using graph mining techniques has been categorized on the basis of different characteristics of anomalies, and the types of anomalies generated.In addition to this, the paper also emphasizes on the issues and challenges associated with each developed algorithm that will help the researchers and the scientists working in this area to find the solutions for problems associated with various algorithms.
Augmenting Scalable Communication-Based Role Allocation for a Three-Role Task

In evolutionary robotics role allocation studies, it is common that the role assumed by each robot is strongly associated with specific local conditions, which may compromise scalability and robustness because of the dependency on those conditions. To increase scalability, communication has been proposed as a means for robots to exchange signals that represent roles. This idea was successfully applied to evolve communication-based role allocation for a two-role task. However, it was necessary to reward signal differentiation in the fitness function, which is a serious limitation as it does not generalize to tasks where the number of roles is unknown a priori. In this paper, we show that rewarding signal differentiation is not necessary to evolve communication-based role allocation strategies for the given task, and we improve reported scalability, while requiring less a priori knowledge. Our approach for the two-role task puts fewer constrains on the evolutionary process and enhances the potential of evolving communication-based role allocation for more complex tasks. Furthermore, we conduct experiments for a three-role task where we compare two different cognitive architectures and several fitness functions and we show how scalable controllers might be evolved.
Learning R Programming Language With Psi Chi

ABOUT PSI CHIPsi Chi is the International Honor So ci ety in Psychology, found ed in 1929.Its mission: "recognizing and promoting excellence in the science and application of psy chol ogy."Mem ber ship is open to undergraduates, graduate students, faculty, and alumni mak ing the study of psy chol ogy one of their major interests and who meet Psi Chi's min i mum qual i fi ca tions.Psi Chi is a member of the As so cia tion of Col lege Honor So ci et ies (ACHS), and is an affiliate of the Ameri can Psy cho logi cal As so cia tion (APA) and the Association for Psy cho log i cal Science (APS).Psi Chi's sister honor society is Psi Beta, the na tion al honor society in psychology for com mu nity and junior colleges.Psi Chi functions as a federation of chap ters located at over 1,180 senior col leg es and universities around the world.The Psi Chi Central Office is lo cat ed in Chatta nooga, Ten nessee.A Board of Directors, com posed of psy chol o gy faculty who are Psi Chi members and who are elect ed by the chapters, guides the affairs of the Or ga ni za tion and sets pol i cy with the ap prov al of the chap ters.Psi Chi membership provides two major opportunities.The first of these is ac a dem ic rec og ni tion to all in duc tees by the mere fact of mem ber ship.The sec ond is the opportunity of each of the Society's local chapters to nourish and stim u late the pro fes sion al growth of all members through fellowship and activities de signed to augment and en hance the reg u lar cur ric u lum.In addition, the Or ga ni za tion provides programs to help achieve these goals including con ven tions, research awards and grants competitions, and publication opportunities.
Statistical learning methods for functional data with applications to prediction, classification and outlier detection

In the era of big data, Functional Data Analysis has become increasingly important in- sofar as it constitutes a powerful tool to tackle inference problems in statistics. In par- ticular in this thesis we have proposed several methods aimed to solve problems of prediction of time series, classification and outlier detection from a functional approach. The thesis is organized as follows: In Chapter 1 we introduce the concept of func- tional data and state the overview of the thesis. In Chapter 2 of this work we present the theoretical framework used to we develop the proposed methodologies. In Chapters 3 and 4 two new ordering mappings for functional data are proposed. The first is a Kernel depth measure, which satisfies the corresponding theoretical prop- erties, while the second is an entropy measure. In both cases we propose a parametric and non-parametric estimation method that allow us to define an order in the data set at hand. A natural application of these measures is the identification of atypical obser- vations (functions). In Chapter 5 we study the Functional Autoregressive Hilbertian model. We also propose a new family of basis functions for the estimation and prediction of the afore- mentioned model, which belong to a reproducing kernel Hilbert space. The properties of continuity obtained in this space allow us to construct confidence bands for the cor- responding predictions in a detracted time horizon. In order to boost different classification methods, in Chapter 6 we propose a diver- gence measure for functional data. This metric allows us to determine in which part of the domain two classes of functional present divergent behavior. This methodology is framed in the field of domain selection, and it is aimed to solve classification problems by means of the elimination of redundant information. Finally in Chapter 7 the general conclusions of this work and the future research lines are presented.
05: Automotive Vision / Fahrzeugsehen, Vorlesung, SS 2019, 27.05.2019

05 | 0:00:00 Start0:00:10 Correction0:02:07 Chapter 4: Optical Flow0:11:15 Lucas-Kanade Method0:20:44 Limits of linear approximation0:27:46 Iterated Lucas-Kanade Method0:29:05 Aperture Problem0:37:31 Variational Approach0:46:51 Optical Flow and Stereo Vision0:51:20 Sparse Flow0:53:02 Image Based Tracking1:02:39 Example: Kernelized Correlation Filter (KCF)1:09:37 Example: Tracking with Occlusions1:14:31 Tracking in Fog1:16:12 Summary of Chapter 41:18:00 Chapter 5: Tracking Moving Objects1:18:46 Motion Estimation by Regression1:19:05 Estimation Problem1:21:20 Regression
Performance Improvement of Hierarchical Fitness Calculation for Optimal Flight Trajectory Generation Using Dynamically Distributed Genetic Algorithm

In recent years, for further promotion of space development, reusable space transportation system with low launch cost per one has been researched and developed. However, there are some technical problems that must be solved in order to realize such system. One of these problems is the autonomous guidance system that can work under various flight environments. Therefore, onboard real-time optimal flight trajectory generation methodology using dynamically distributed genetic algorithm (DynDGA) has been studied. Its advantage is that it can cope with sudden changes in flight environment and mission by obtaining multiple optimized trajectories with diversity. While the general framework of this guidance system has almost been constructed, there is a problem that there are some performance indices of different importance and units, but the past algorithm sums up the raw values of performance indices with weight factor. Therefore, it was difficult to set appropriate weight factor such that fascinates the growth of the individual. In this paper, we propose a hierarchical fitness calculation method by fuzzy membership function so that performance indices grow according to priority order, and the performance of this guidance system is evaluated by numerical simulation.
Delivering Positive Message Through #BaliAman Vlog: President Joko Widodo’s Communication Strategy

Since the seventh and current president of Indonesia, Joko Widodo (Jokowi), launched his personal video blog (vlog) channel, there has been a relatively sharp increase of studies on the President’s use of communication strategies on his vlogs. One video in particular, hashtagged with #BaliAman, was quite unique in the fact that it was meant to reduce Indonesian citizens’ fear of the state of the island after the Mount Agung’s eruption on November 2017. This present study covered the gap of the #BaliAman vlog being never studied in terms of how President Jokowi communicated the idea that Bali was safe in the face of the public’s vehement belief of the opposite. Using Penelope Brown &amp; Stephen Levinson’s politeness theory, this present study reviewed the #BaliAman vlog to see the president’s use of the communication strategy. The results indicated that President Jokowi employed three strategies: positive face, negative face, and face threatening acts. Aside from how politeness theory applies to all situations that occur in our daily lives, this present study is significant for leaders who need to communicate safety ideas during a crisis.
ANALISIS KEMAMPUAN BACA TULIS AL-QUR’AN SISWA MTS DALAM PERSPEKTIF TAKSONOMI BLOOM

Along with the development of the times, more and more alquran literacy needs. The demands of alquran’s literacy skills have become one of the spreading phenomena still limited at first to know, to understand, and to plan actionabout management expecially, Read and Write Al-Quran (RWQ) education in the Islamic Junior High School Nurul Islam Bence. The study is intended to describe and analyze the learning method in reading and writing the Qur’an in the perspective of multiple intelligences theory. The study uses qualitative approach and is conducted through library research. Analysis process of the study follows the main steps such as: 1) collecting the references related to the learning method of reading and writing the Qur’an and multiple intelligences theory 2) reviewing the variety of the learning method in reading and writing the Qur’an 3) analyzing the learning method of reading and writing the Qur’an in the taxonomi Bloom 4) inferring the conclusion. Taxonomy bloom is one measurement of learning objectives. Taxonomy bloom makes it easier for teachers to measure students’ abilities. Keywords : Read and Write Al-Qur’an, Taxonomi Bloom’s concept, Taxonomi Bloom table
LibGuides: ACL 2020: Beyond All Limits!: Wichita Travel Info

A guide to all things ACL 2020 Annual Conference at Newman University in Wichita, Kansas. We look forward to hosting the conference at our school and we are ready to welcome you to our school and our community. Information for flights, cabs and more
Regularization Methods in Neural Networks

Overfitting is a common problem in neural networks. This report uses a simple neural network to do simulations relevant for the field of image recognition. In this report, four common regularizatio ...
Polymer Material Comparison System Based on the Computer Image Processing

The computer image processing technology is a comprehensive technology emerged with the development of the computer technologies in the late 1980s. Image processing is a technology that uses computers, cameras and other related digital technologies to exert certain operations and processing on the images to make the images clearer so as to extract certain specific information and achieve specific purposes. In this paper, the basic operation and common algorithms of the image processing are studied, and the application of the mathematical morphology in the tissue morphology analysis is discussed in details. A digital image processing module is designed to complete the image segmentation. At the same time, based on the measuring principle of the quantitative metallography, the characterization methods of several common characteristic parameters are discussed, and the measurement scheme of the relevant parameters is designed to the segment images. The image analysis system is calibrated and the system error is analyzed and discussed.
Intuitive Virtual Objects Manipulation in Augmented Reality: Interaction between User’s Hand and Virtual Objects

Augmented Reality (AR) is a technique of superimposing information generated by a computer on perceptual information that we receive from real space.The combination of AR technology with many contents creates new type of applications and AR is used in many fields, including education, medicine and entertainment [1-3].More recently, techniques for realizing interaction between a user and virtual objects in AR have garnered much attention.Therefore, it is expected that these technologies will be used in various applications in the future.On the other hand, most of the existing studies focused on interactions using rigid virtual objects.However, in this investigation, we aim to realize a flexible virtual object that can be deformedmuch like clay-and use it in a wider range of applications.This paper introduces examples of flexible virtual objects.Kato et al. [4] introduced flexible body virtual objects by using Bullet Physics (or physics engine), reflecting the action of crushing on the virtual object with the user's bare hand in the virtual space, and realized the deformation manipulation of virtual objects by interaction with the user.Suzuki et al. [5] depicted the moving manipulation of rigid body virtual objects through an interaction between the user and virtual objects.However, after deforming the virtual object, moving or rejoining the virtual object while maintaining the original shape was not possible.To the best of our knowledge, a series of movements that deformed, moved, or joined virtual objects were not realized.This system consists of a Web camera for real image acquisition and marker recognition, the Leap Motion Controller for obtaining 3D coordinates of fingers, and PC for performing arithmetic processing and video output.In this system, we use network programming to prevent interference between the Leap Motion Controller and the Web camera.This system acquires the 3D coordinates of fingers with the Leap Motion Controller on the server side.In addition, this system acquires images with the Web camera, and performs physical calculation, and video output on the client side.
Early Warning Detection System for Fire Disaster Using Virtual Instrumentation With Labview and Arduino

Fire Disaster is one of many disasters that can be happened in big cities and towns all over the world .It can take not just much money and  material loss ,but also take somebody  life. For this reason we need the system that can give early  warning to the people around the area that is happened fire disaster so that the risk would be minimized as small as possible and  woulbe handled as soon as possible. Our system in this Article using virtual instrumentation with lab view and arduino. We can monitor on the temperature and humidity environment continuously 24 hour and on big display screen. Our system consist of computer with software lab view, arduino and sensor DHT11 as temperature and humidity sensor. Early Warning Detection System is achieved by Changing in The Temperature and Humidity as fast as possible as an indicator of a fire disaster.
17: Softwaretechnik II, Vorlesung, WS 2019/20, 07.01.2020

17 | 0:00:00 Start0:00:46 Overview0:01:18 Code and Fix Approach0:03:54 Software Development Processes0:07:22 Process Models0:11:57 Recap: Waterfall Model (from SWT1)0:16:30 Frederick Brooks0:19:15 Remember: The Actual Challenge0:20:38 Waterfall Development Life Cycle0:23:06 V-Model0:25:04 Self-Assessment0:25:43 Alternative Life Cycle?0:27:45 Recap: Iterative Process (from SWT1)0:31:30 Evolutionary and Incremental Development0:32:43 Spiral Model0:35:10 Elementary Models as Building Blocks0:45:43 UP Overview0:47:04 UP Phases0:49:38 UP Disciplines0:51:57 The Rational Unified Process0:55:33 Phases at a Glance0:57:57 Roles in a Project1:00:14 General Reflection on Processes1:06:13 Agile Development1:06:40 Motivation1:08:30 Agile Manifesto1:14:27 Exercise: Agile vs. Before Agile
The Impact of the Google Cloud to Increase the Performance for a Use Case in E-Commerce Platform

A massive amount of complex and huge digital data storing is caused due to the development of intelligent environments and cloud computing.Today the organizations are using Google Cloud platform to store and retrieve of all amount of their data at any time.Google offers database storage like:Cloud Datastore for NoSQL non-relational database and Cloud SQL for MySQL fully relational database.During years, enterprise organizations have accumulated growing stores of data, running analytics on that data to gain value from large information sets, and developing applications to manage data exclusively.Traditional SQL databases are used for storing and managing content of structured data, but with unstructured and complex data they have found it difficult.Based on this need, the purpose of this paper is to present a Cloud storage solution able to store huge amount of data, focused on the impact of performance and scalability for a use case on e-commerce.For this reason, we have compared MongoDB with MySQL on Google Cloud to find the best solution for our e-commerce use case.
Human-computer interaction systems and elderly users: Linguistic specifications for prosodic modelling

The present linguistic specifications and language-independent parameters for prosodic modelling aim to provide a general framework for facilitating both the construction and the evaluation processes of the Dialog Interface of Human-Computer Interaction Systems in Service for the Elderly and the related prosodic modelling.The proposed specifications target to the features of Comprehensibility and User-friendliness in the spoken output and the overall safety, efficiency and reliability of the System's performance.
CONFERENCE CIRCUIT: Detroit: A desktop travelogue for the 9th National Conference

CONFERENCE CIRCUIT: Detroit: A desktop travelogue for the 9th National Conference
Trends and Issues of International Baccalaureate in the Republic of Korea

In the last several years, as a way to innovate the Korean education, International Baccalaureate (IB) programmes have been promoted by two provinces, in the Republic of Korea: Jeju and Daegu. However, there are still pros and cons about introducing IB into public education. For a stable settlement of these programmes, several concerns should be addressed. Therefore, the present study analyzes trends and issues associated with IB programmes in Jeju and Daegu. The two provinces, Jeju and Daegu, reached a consensus with IBO to introduce IB programmes in the Korean language and to operate them from elementary education to secondary education. Accordingly, since 2017, these programmes have been promoted, starting in Jeju. In early 2020, nine schools in Daegu have become official candidate schools, while other schools in both Jeju and Daegu will become candidates in the nearest future. For a stable operation, five issues should be addressed. First, there is the issue of cost. IB programmes are not free, so regional government should continuously secure a budget, as the number of IB schools will increase. Second, since IB programmes are originally derived from the West, we should consider other programmes that could substitute IB programmes if problems with their implementation in Korea emerge. Third, considering that IB programmes are currently introduced only in several schools, public education should secure equal educational opportunities. Fourth, as IB programmes’ content knowledge focuses on universal and Western-based disciplines, in order to secure the Korean national identity, additional knowledge education about Korea should be implemented. Finally, as IB programmes are basically academic ones, the way to support students with low academic performance should also be explored.
Elements of Governance of the Management of Private Stadiums (Artificial Turf) to Control the Dangers of Their Spread in the Arab Republic of Egypt

The research aims to identify the elements of governance of the management of private stadiums (artificial turf) to control the risks of it’s spread in the Arab Republic of Egypt by identifying, The current status of governance of the risks of the spread of private stadiums (artificial turf) in the Arab Republic of Egypt, The reasons for the spread of private stadiums (artificial turf) in the Arab Republic of Egypt, Risks resulting from the spread of private stadiums (artificial turf) in the Arab Republic of Egypt, the researcher applied the descriptive survey method, relied on a simple random sampling method and thus became the main research sample (298) individual and the researcher used questionnaire study The researcher used statistical processes appropriate to the nature of the research, In light of the research results, it is recommended - Develop a code of ethics that includes the most important values and principles that all employees of the private stadiums should follow (artificial turf).
INFORMATION AND COMMUNICATION TECHNOLOGIES IN MODERN SCIENCE (PHILOSOPHICAL ASPECTS)

Introduction. The article deals with the problems of using information and communication technologies in science at the beginning of the XXI century. The image of science in the information society is changing. Being a product of scientific activity, information technologies begin to significantly influence both the process of its implementation and the main goal - the production of new knowledge. Scientists are interested in the phenomenon of big data in an epistemological and heuristic aspect. The aim and tasks is the comprehension of the capabilities of the big data technology (BD) in the effective search for reliable knowledge. The problem is the quality of digital data, their coherence, utility and methods of storage. There was even a science about data, which is a set of knowledge and skills necessary to extract knowledge. Research methods. The methodological basis for this study is philosophical and general scientific methods, as well as systemic and synergistic approaches. Research results. Philosophy and sociology of science consider the database as a new approach, as an attempt to replace the traditional scientific paradigm, which involves the nomination and verification of a hypothesis. As the analysis of the literature shows, researchers reject the idea of the "end of theory". Discussion. At the same time, the BD technology is not a general scientific methodology, but has a specific application in the social and humanities sciences, as well as in biomedical research, atomic and nuclear physics. Conclusion. The novelty of the big data for science lies in the methods, infrastructure, technologies and methods of data processing. Philosophers, together with specialists in the IT field, are trying to comprehend new problems that arise in the scientific and technical sphere. Thus, there is a transformation of the methodological consciousness of scientists