Reviewerly/exHarmony huggingface dataset:
Contemporary approach to the understanding of the notion of “beautiful” as an aesthetic category

The author elaborates the idea of modern aesthetics that the notion of beautiful is not a fundamental category of modern art and modern philosophy of art. Under the direct influence of science and arts modern philosophy has added to the categories such notions as probability, absurdity, the mundane, the understanding etc. On the other hand a new understanding of society and man prompted the introduction of such categories as lifeworld, fear, solitariness, care, doubt, language games etc. It has become evident that many categories are not only blurred but rather heterogeneous, thus the system of categories is something to be referred to with considerable reservations.&#x0D; The article proposes a preliminary definition and interpretation of the beautiful and the main principles of the analysis of the beautiful. In the most general and tentative terms the beautiful can be defined as something that complies with the idea of beauty accepted in a given society or civilization. Ideas of beauty can vary from culture to culture and from civilization to civilization. This is no to say that certain, albeit few, objects cannot be considered beautiful throughout many historical epochs. Standards of beauty as well as social standards in general, do not refer to any object but only to certain types of objects. Consequently beautiful is always beautiful of a kind. Beauty in general does not exist, there are only beautiful objects of a definite kind.&#x0D; The article maintains that there are at least three reasons why the beautiful cannot be verbally defined. The first is methodological, the second is social and the third is related to the peculiarities of the beautiful itself, primarily it sensual nature. In the first place the degree of clarity of scientific notions depends on the level of the development of science. The scientific study of arts is a never-ending venture. And while it continues, its categories and in particular the category of the beautiful will require clarification.
Improving Minimal Gated Unit for Sequential Data

In order to obtain a model which can process sequential data related to machine translation and speech recognition faster and more accurately, we propose adopting Chrono Initializer as the initialization method of Minimal Gated Unit. We evaluated the method with two tasks: adding task and copy task. As a result of the experiment, the effectiveness of the proposed method was confirmed.
IMPACT OF EMPLOYEE ENGAGEMENT ON JOB SATISFACTION

In today’s world, the main challenge is not just retaining talented people but also engaging employees’thoughts,attitude and energy as a critical driver of the organization success in this competitive world. Now-a-days, employee engagementhas become a leadership priority as it constantly seeks for different styles to keep their employees engaged. Employee engagement is average willingness to engage theenergy and commitment of all employees in everything they do in order to achieve outstanding results. Employee turnover ratio has taken various sectors in theindustries by a storm, since employees were found to be constantly changing the jobs therefore causing high attrition rates. Therefore,employee engagement and retentionhas become a challenging task in the today’s unstable economic condition.The aim of study is to examine employee engagement practices in NSIC. To determine theimpact of employee engagement on job satisfaction, using organizational citizenship behaviour and employee empowerment as a prominent factors.NSIC has been selected for analyzing the relationship between employee engagement and jobsatisfaction. Samples of 200 employees of NSIC have been taken for conducting the study. Primary data have been obtained from the discussions with the HR executivesand other employees. The study uses descriptive statistics for the analysis of the data. To check the reliability of the questionnaire, Cronbach's Alpha test has beenperformed. Linear regression indicates that variables of employee engagement are statistically significant at 5 % significance level. The study concluded that theemployee engagement has a significant impact on job satisfaction of employees at NSIC.
Power and Performance Based Genetic Ant Colony Algorithm for Virtual Machine Placement

Cloud Computing is the provisioning of computing services over the Internet. A Virtual Machine (VM) creation request has to be processed in any one data center of the physical machines. Virtual Machine Placement refers to choosing appropriate host for the VM. One of the major concerns in datacenter management is reducing the power consumption and performance filth of virtual machines. For solving the problem, GACO algorithm is proposed which uses PpW, IPR and LDR as heuristic information for ACO algorithm and for selection in Genetic algorithm. It also uses a non-linear power consumption model for quantifying power. The performance evaluation shows the efficiency of the algorithm.
RANCANG BANGUN TEXT DAN ANIMASI 3 DIMENSI PADA LED CUBE BERBASIS ARDUINO UNO ATMEGA 328

Promotion is one means to increase sales figures at a company. And the product being promoted. Promotions carried out to potential target markets. There are various kinds of promotional media used such as neon boxes. Neon Box requires neon lights with high electric power and high prices. On the other hand the neon box image is static or cannot be changed. So from the problems above, through this study the authors designed a promotional media using LEDs that were shaped like cubes. Because LED prices are not expensive. This promotional tool was built using an Arduino-based microcontroller and connected to the interface on the desktop. Display that can be arranged through the desktop are letters, numbers, and shapes (flat areas). CUBE LEDs were tested 5 times for each flame pattern and the test results were obtained successfully. So the CUBE LED was successfully designed and built and found no errors.
Learning Support Technique of Software Visual Modeling Using Place/Transition Nets

This paper shows a learning support technique of software visual modeling.The ideas of block and animated graphics are introduced into this technique in order that learners can intuitively understand the notation and behavior of models, and can be given guidance about the way to construct proper models.Place/transition net is selected as a modeling language in this paper, but other formal behavioral modeling languages based on directed graphs also can be introduced into this technique.
Evaluation of the Relationships between Saliency Maps and Keypoints

The saliency map is proposed by Itti et al., to represent the conspicuity or saliency in the visual field and to guide the selection of attended locations based on the spatial distribution of saliency, which works as the trigger of bottom-up attention.If a certain location in the visual field is sufficiently different from its surrounding, we naturally pay attention to the characteristic of visual scene.In the research of computer vision, image feature extraction methods such as Scale-Invariant Feature Transform (SIFT), Speed-Up Robust Features (SURF), Binary Robust Invariant Scalable Keypoint (BRISK) etc., have been proposed to extract keypoints robust to size change or rotation of target objects.These feature extraction methods are inevitable techniques for image mosaicking and Visual SLAM (Simultaneous Localization and Mapping), on the other hand, have big influence to photographing condition change of luminance, defocusing and so on.However, the relation between human attention model, Saliency map, and feature extraction methods in computer vision is not well discussed.In this paper, we propose a new saliency map and discuss the stability of keypoints extraction and their locations using BRISK by comparing other saliency maps.
A economia escriturística e o desejo em propagandas a partir de uma perspectiva discursiva de letramento

This article shows how the economy of the dominant written culture captures the desire in propaganda.This research carries out an analysis of two propagandas based on the discursive approach about literacy, reading and writing questions.The paper also discusses the highly literate discourse transmitted by these propagandas and the conclusion intends to argue that the subject of desire, through the written discourse, signalizes the relationship between writing and fetish.
Promoting Collaborative Skills with Github Project Boards

Teamwork skills are much in demand in the workplace, even more so with the growth of Agile methods. This calls for giving Computer Science students more practice in the kinds of team scenarios they will encounter on the job. Key for success are hands-on experience with planning methods, prioritization techniques, time management and organization. This poster shows how the cooperative tracking tool Github Project Boards helps teams strategize development, track progress, distribute work evenly, and facilitate collaboration. It also shows how instructors can use Github Project Boards to visualize and evaluate a team's development process.
The Shaping of Design Methodology in Russia: Alexander Bogdanov and Alexander Rosenberg

The article analyzes the initial stages of the shaping of design. Like the situation when the shaping of science was preceded by the emergence of methodology, a similar process had been taking place in this domain: First, methodological studies aimed at the forming of design thought made their appearance and then—on their basis—design as an independent sphere of activity and practice began to take shape. The article analyzes the methodological principles of design (the principles of correspondence, of economy, of optimum, etc.) formulated by Alexander Vladimirovich Rosenberg, demonstrating that, in his suggestions, he was drawing not only on his vision of the design experience available at the time but also on the ideas of Alexander Bogdanov’s Tectology—primarily the organizational and systemic ones. The author reveals certain particulars of the shaping of design: the role of prerequisites of its emergence, the significance of methodological research, the impact of Bogdanov’s Tectology. Furthermore, the author formulates the hypothesis of the two languages (systemic and systemic-objective) describing design and intellectual practices of similar complexity.
ANALISIS KRIGING UNTUK MENDETEKSI POLA SPASIAL KASUS DBD DI KABUPATEN TANAH LAUT

Geostatistics is a data processing in geological field that contains spatial information in it. Spatial information is information that identifies geographical location, characteristics of natural conditions and boundaries of the earth. Geostatistics is used to handle regionalized variables. One of the method that used to handle regionalized variables is the kriging method. The kriging method has a lot of expansion in its development, including the Simple Kriging method and the Cokriging method. Both of these methods will be applied in case studies of spatial patterns of dengue in Tanah Laut District. The purpose of this study was to estimate the distribution pattern of DHF in Tanah Laut District and compare the results of the RMSE method of Simple Kriging and Cokriging. The smallest RMSE value was compared and selected, followed by estimation using the Cokriging and Simple Kriging methods. From the two methods used the smallest RMSE value is in the Simple Kriging method. But when you looked from the thematic map of the distribution of dengue patients with the Cokriging and Simple Kriging method, it can be seen that the Cokriging method has a more diverse pattern. Keywords: geostatisticts , Cokriging , Simple Kriging , DHF
A SYSTEMIC FUNCTIONAL LINGUISTIC ANALYSIS OF THE TRANSITIVITY IN JOKOWI'S NEW VISION SPEECH

This study deals with the investigation of the New Vision speech of President Joko Widodo (in Short, Jokowi). This study is aimed to identify what kinds of Jokowi tends to use one utterance comparared others. This study employed systemic functional linguistics theory of Halliday, particularly transitivity system as a tool of analysis, more specific this study process of transitivity. The data obtained from the victory speech of the presidential election, this speech was conducted during his inaugural speech occasion. The data was downloaded, then analyzed qualitatively. The study found that material process 31(36%), mental process 23(26%), relational process 27 (31%0, verbal there is no occurrence, behavioral there is no occurrence, and existential process 6(7%). This study concluded that Jokowi tended to uses material process, in contrast with verbal and behavioral processes which have no occurrences in his speech, it shows that he prefers to action to  show his action
CinemAfrique@BU: "Sides of a Horn" poster

These posters were created to make the BU Libraries Community aware of an event by CinemAfrique at BU. This event is a screening of the film
What Can Genre Tell Us? Metal Gear Solid V: The Phantom Pain

Genre is known to be one of media to communicate between the game designer and game players. Genre could give powerful impact to the game players because it makes the game players familiar with the game with the similar genre to play. Through genre, the game designer and maker could use it to gain the players’ heart so that they can spread their ideas imbued in their games. Metal Gear Solid Game series which was firstly played in 1987 has been promoting the anti-nuclear possession since its release. This paper has a purpose to reveal what makes this last series of Metal Gear Solid game, MGSV: The Phantom Pain, can be accepted widely by game players by observing its genre and this paper also aims to discover how the game designers, through the game, promoted the anti-nuclear war, which becomes a hot issue again nowadays, by using multimodal genre analysis.&#x0D; &#x0D; Keywords: discourse analysis, genre analysis, MGA, Metal Gear Solid V: The Phantom Pain, Anti-nuclear war ideology
24: Softwaretechnik II, Vorlesung, WS 2019/20, 29.01.2020

24 | 0:00:00 Start0:00:07 Principles for Building Secure Software0:04:24 Helpful Security Patterns/Idioms0:09:56 Implementation0:13:19 Potential Security Issues0:14:10 Testing Guidelines0:17:28 Security Evaluation0:20:00 Race Conditions0:22:55 Buffer Overflows0:29:08 SQL Injection0:33:12 Cryptography0:35:28 Pseudo Randomness0:36:59 Conclusion0:39:37 Start: Cloud Computing Vorlesung0:41:04 Scalability and Elasticity0:47:35 Key Points0:52:09 What a Resources0:58:11 Multi-Tenancy and Partitioning1:00:58 Virtualization1:12:20 Service Delivery Models1:19:43 Total Cost of Ownership1:20:55 Sotware License-based Delivery vs. SaaS1:23:21 Key Characteristics of SaaS1:26:05 Service Deployment Models
8. Observatório CONTECSI e observatório do mercado de trabalho do profissional da informação: colaboração acadêmica e científica FEA USP e ECA USP

compartilhamento de informação, e sobre as práticas mais inovadoras para a área. environments, strengthening the interest in research,and sharing knowledge about the most innovative practices in this area.
05: Robotik II: Humanoide Robotik, Vorlesung, SS 2019, 27.05.2019

05 | 0:00:00 Start0:00:17 Bullock Taxonomy0:04:28 Duality of grasping and balancing0:11:31 Type of contacts0:14:11 Taxonomy of whole-body poses0:15:23 Classification of whole-body actions0:17:51 Validation of the Taxonomy0:19:12 Analysis of pose transitions0:29:23 Language model to generate multi-contact motions0:33:02 Motion as sequence of poses0:36:24 Postural Synergies and Eigengrasps0:36:32 Postural Synergies0:59:50 Problems with the synergistic model so far1:01:16 The Soft Synergy Model (1)1:03:08 The Soft Synergy Model (2)1:09:30 Eigengrasps
LibGuides: Computational Physics: Home

Welcome to the Subject Guide of Physics. This guide will help you research topics related to Physics. Start with the tabs above to find books, articles, websites, and other relevant resources. If you have any questions or need help researching a topic, dr
An Efficient Steganalysis Model Based on Multi-scale LTP and Derivative Filters

Local binary pattern (LBP) is one of the most advanced image classification recognition operators and is commonly used in texture detection area. Research indicates that LBP also has a good application prospect in steganalysis. However, the existing LBP-based steganalysis algorithms are only capable to detect the least significant bit (LSB) and the least significant bit matching (LSBM) algorithms. To solve this problem, this paper proposes a steganalysis model called msdeLTP, which is based on multi-scale local ternary patterns (LTP) and derivative filters. The main characteristics of the msdeLTP are as follows: First, to reduce the interference of image content on features, the msdeLTP uses derivative filters to acquire residual images on which subsequent operations are based. Second, instead of LBP features, LTP features are extracted considering that the LTP feature can exhibit multiple variations in the relationship of adjacent pixels. Third, LTP features with multiple scales and modes are combined to show the relationship of neighbor pixels within different radius and along different directions. Analysis and simulation show that the msdeLTP uses only 2592-dimensional features and has similar detection accuracy as the spatial rich model (SRM) at the same time, showing the high steganalysis efficiency of the method.
A Lossless Data Hiding Scheme in Public Key Encrypted Domain Based on Homomorphic Key-Switching

This paper proposes a lossless data hiding in encrypted domain (RDH-ED) scheme. To realize the data extraction directly from the encrypted domain without the private key, a key-switching based least-significant-bit (KS-LSB) data hiding method has been designed. In application, the user first encrypts the plaintext and uploads ciphertext to the server. Then the server performs KS-LSB to obtain the marked ciphertext. Additional data can be extracted directly from the marked ciphertext by the server without the private key, which enables the (trusted or untrusted) third party to manage ciphertext flexibly under the premise of keeping the plaintext secret. The Experimental results demonstrate that the embedding capacity is 1bit per bit of plaintext. Data hiding would not affect the accuracy and the security of encryption.
Choosing parameters for trellis-based encryption systems

This study focuses on estimating good parameters for lattice-based cryptosystems. Through complexity analyses of known attacks to such systems, our objective was to understand current estimates in the literature and develop a calculator that determines the security of cryptosystems using the parameters given as input.
Lo stato dell'arte dell'innovazione tecnologica per le architetture web: presente e futuro per Archeologia e Calcolatori

The paper illustrates the recent evolution of web architectures and the choices made for the web portal of ‘Archeologia e Calcolatori’. The website needed an urgent restyling to update its ASP platform, even though for 15 years it had performed its interactive work very well. Today, the ASP language is no longer supported by Microsoft and the infrastructural choices of the CNR are and will be increasingly oriented towards the world of open source and LAMP architectures (Linux, Apache, MySQL, PHP/Phyton). For this reason, a transformation was not only suggested, but vital. It was therefore decided to completely renew the website, a task consisting of about 70 physical pages to be rewritten in PHP. This work transformation has helped to pave the way for new technologies that today are modifying the web architecture of the entire WWW and that will soon allow us to implement new services and functions. Particular attention was paid to the most significant phenomena in the innovative technological panorama of Web Information Systems, with particular emphasis on the Semantic Databases and the new RIA (Rich Internet Application) technologies, the latter a splendid evolution of client-side web architectures.
Synthesising Light Field Volume Visualisations Using Image Warping in Real-Time

We extend our prior research on light field view synthesis for volume data presented in the conference proceedings of VISIGRAPP 2019 [13]. In that prior research, we identified the best Convolutional Neural Network, depth heuristic, and image warping technique to employ in our light field synthesis method. Our research demonstrated that applying backward image warping using a depth map estimated during volume rendering followed by a Convolutional Neural Network produced high quality results. In this body of work, we further address the generalisation of Convolutional Neural Network applied to different volumes and transfer functions from those trained upon. We show that the Convolutional Neural Network (CNN) fails to generalise on a large dataset of head magnetic resonance images. Additionally, we speed up our implementation to enable better timing comparisons while remaining functionally equivalent to our previous method. This produces a real-time application of light field synthesis for volume data and the results are of high quality for low-baseline light fields.
Recompression: Technique for Word Equations and Compressed Data

In this talk I will present the recompression technique on the running example of word equations. In word equation problem we are given an equation $$u = v$$ , where both u and v are words of letters and variables, and ask for a substitution of variables by words that equalizes the sides of the equation. The recompression technique is based on employing simple compression rules (replacement of two letters ab by a new letter c, replacement of maximal repetitions of a by a new letter), and modifying the equations (replacing a variable X by bX or Xa) so that those operations are sound and complete. The simple analysis focuses on the size of the instance and not on the combinatorial properties of words that are used. The recompression-based algorithm for word equations runs in nondeterministic linear space. The approach turned out to be quite robust and can be applied to various generalized, simplified and related problems, in particular, to problems in the area of grammar compressed words. I will comment on some of those applications.
Fitness Portal Needs and Feasibility Assessment for M-NCPPC Prince George’s County Department of Parks and Recreation

Final project for INST490: Integrated Capstone for Information Science (Fall 2019).University of Maryland, College Park.
The Marked-line Recognition Based on Network Topology Diagram Points Clustering

Marked-line recognition is one of the important methods to realize the patrol Automatic Guided Vehicle (AGV) autonomous navigation. This paper will focus on a new method in marked-line recognition and it has good robustness in outdoor environment which the illumination is variation, the marked-line is partially-occluded, and the objects on the load are similar to the marked-line. Firstly, the feature points of the marked-line are extracted by using the color and contour features, and the feature points are used as vertexes to construct the network topological diagram G = (V, E). Secondly, the vertexes are clustered by using the slope and the slope change rate of the network edges, and the vertexes of each clustering are connected by polylines. Lastly, the subclasses are clustered again if the average slope and the average slope change rate of each subclass are similar. The class with the most vertexes is used to recognize marked-line. The experimental result demonstrates that the recognition accuracy is almost 100% under the variant illumination intensity and even if the marked-line with partial occlusion the recognition accuracy is about 98.5%, the experimental results show that the method has good robustness in complex outdoor environment. In addition, the method takes about 45ms and it has good real time performance.