Reviewerly/exHarmony huggingface dataset:
Solar energy density estimation using ANFIS based on daily maximum and minimum temperature

The data of solar energy density in one area is very important when the area will constructed photovoltaic (PV) system. The data is as preliminary study to decide what the area is suitable or not to be constructed the PV application system. But, sometime the available data is missing because the limitation of weather equipment. An alternative technique for the available data of solar energy density should be done for the continuity of PV application system decision. An estimation technique of solar energy density is one part of good alternative to solve this problem. This paper presents the estimation of solar energy density using Adaptive Neuron Fuzzy Inference System (ANFIS). The ANFIS system has two input data of the measured daily minimum, maximum temperature and difference between maximum and minimum temperature. The measured solar energy density is as target data of ANFIS system. The data is recorded from Medan meteorological station through the web site of world weather online for the year of 2018. The result shows that the average estimated solar energy density is classified in the very high solar energy density and based on the percentage error shows that the estimated solar energy density is acceptable.
CIL and planning obligations

Find out about the Community Infrastructure Levy, Section 106 agreements and developer contributions in Special Protection Areas.
Augmenting MPI Programming Process with Cognitive Computing

Cognitive Computing is a new and quickly advancing technology. In thelast decade Cognitive Computing has been used to assist researchers in theirendeavors in many different scientific fields such a ...
What Do We Mean by Theory in Information Retrieval?

Theory comes in many forms. In some fields, mathematical statements are used to communicate theory, while in others, verbal statements are used. Some fields rely heavily on models, such as physical, mechanical or stochastic, while other fields rely on simulation. As an area of study, information retrieval (IR) addresses topics and problems that can be informed by a wide-variety of theories and models, including those used to describe the actions of machines, as well as those used to explain the behaviors of humans and systems. While theoretical research is often presented as being at odds with empirical research, in reality, they cannot be separated. In this talk, I will review several theories and models that have guided select IR research, and discuss the ways researchers have exercised, explored and tested theories. I will also discuss the role of theories in IR research, and present criteria that can be used to reason about whether an IR theory is useful. I will argue that we should demand more theory from IR research. In particular, while the absence of theory does not prevent us from doing research, it does restrict our findings to a narrow slice of time.
Pertumbuhan Miselium Bibit F0 Jamur Tiram Putih (Pleurotus Ostreatus) Dan Jamur Merang (Volvariella Volvaceae) Pada Media Alternatif Ekstrak Biji Lamtoro

AbstractKluwih seeds are a part of plants that are less used. Though kluwih seeds contain many nutrients including carbohydrates, proteins, fats and minerals. The carbohydrate content in kluwih seeds reaches 58.798%, this carbohydrate content includes fiber in it. This study aims to determine the growth of F0 mycelium seedlings of white oyster mushrooms and straw mushrooms in alternative media of kluwih seed extract. The method used in this study was an experimental research method using a factorial Randomized Complete Design (RAL) design and consisted of 2 factors: 1 type of fungus (white oyster mushroom / J1 and mushroom / J2) and factor 2 difference in concentration (extract kluwih seeds 10%, 15%, and 20%). Observations on day 3 and day 7. Based on the results of the study that, in white oyster mushroom media extract of 15% kluwih seed extract (J1K2) had a diameter of 3.7 cm mycelium with density and growth of mycelium at the latest until 7 in white oyster mushrooms with a concentration of kluwih seed extract 20% in diameter of 0.1 cm mycelium with a density of less dense mycelium in the petri dish. So it can be concluded that kluwih seeds can be used as a growth medium for F0 white oyster mushrooms and straw mushrooms, the best growth in kluwih seed extract media with a concentration of 15% in white oyster mushrooms.Keywords: Kluwih Seeds, F0 SeedlingsWhite Oyster Mushroom, F0 Seedlings Straw Mushroom, Mycelium Growth
The Analysis of the Impact of the Translators’ Background Knowledge on the English-Korean Translation.

The purpose of this paper is to examine how important translator’s background knowledge is in the process of English-Korean translations. This study revealed that background knowledge had a great influence on the degree of understanding a source text and the way of changing the source text into a target text in terms of expressions. According to two-time questionnaire analyses, student translators recognized the importance of background knowledge in translation which allowed them to understand a source text better and make a translation more confidently. The results of the comparative analysis of translation errors and the questionnaire responses indicate the significance of background knowledge in the translation process.
The Techniques and Evaluation Method for Beautification of Handwriting Chinese Characters Based on Cubic Bézier Curve and Convolutional Neural Network

This paper presents a method to beautify Chinese characters and a way to evaluate the beautification result. In order to make handwritten Chinese characters more in line with the aesthetic standards of Chinese characters, 52 Chinese characters were selected as experimental data. These data covered 33 standard strokes and 19 typical structures of Chinese characters. The handwritten Chinese characters were beautified mainly from two aspects-the global adjustment and the elimination of jitter. Firstly, the two-dimensional (2D) data points set is extended into three-dimensional (3D) space. Then the Gaussian Mixture Model (GMM) is established for the data set, and the layout of handwritten Chinese characters is adjusted by point set registration algorithm. Secondly, according to the properties of the cubic Bezier curve function, detect the jitter of each strokes, and eliminate the jitter by interpolation algorithm. The evaluation of the results after beautification has always been limited to subjective evaluation. This paper attempts to combine the evaluation of beautification result with machine learning methods. Handwritten Chinese character recognition (HCCR) is used as the tool. Experiments show that the overall layout and jitter of handwritten Chinese characters have been adjusted and deleted, and the evaluation of handwritten Chinese characters beautification results has its research significance.
Typographical trust issues : The impact of font types on trust in the context of online banking websites

The purpose of this study was to examine if font choices affect how text and sender are perceived in the context of online banking websites. Large amounts of money are invested to produce effective ...
Pengembangan Srategi Bisnis dengan Menggunakan Business Model Canvas dan SWOT (Studi Kasus: UKM Brownies Cinta di Karanganyar)

The purpose of this research is to develop a business using the Business Model Canvas approach and provide a good business strategy proposal for UKM Brownies Cinta. The benefits of this study are 1) To provide an understanding of Business Model Canvas as a solution to make alternative business strategies for business people, 2) Able to communicate knowledge and insights about the sciences obtained during the lecture bench, 3) Provide references to future researchers. This study uses the Business Model Canvas method and SWOT analysis. The object of the research was conducted at the UKM Brownies Cinta on Jl. Muwardi, Badranasri RT /XI, Cangakan, Kab. Karanganyar. The data collection method is obtained by observation, interview, and questionnaire. The results showed that UKM Brownies Cinta was in quadrant II with IFAS value (0,795) and EFAS value (-0,027) indicating a strong organization but will experience a big challenges. The recommendation of the strategy given is Strategy Diversification, which signifies UKM Brownies Cinta in a steady state but will experience a number of severe challenges, it is estimated that the organization will have difficult to continue to run if it only relying on the previous strategy.. Therefore it is recommended to multiply the variety of strategies.
The possibilities of a crisis modeling in the cyberspace of the system security

The paper briefly presents some possibilities of the modern use of cyberspace tools for the theory of artificial intelligence related to the definition of the model and the corresponding possibilities leading to systemic modeling of crises in the modern information and knowledge world and in the area of system security. The modeling process is mainly focused on the specific concept of the virtual model and on the network represented by information and communication systems (ICT) and on the corresponding perspective modeling of the system-based environment used to simulate cyber-attacks and the corresponding levels of cyber-defence. It forms the actual content of the newly conceived modeling with the process of model adaptation in the modern learning environment of artificial intelligence. The paper is based on a scientific task dealing with the possibilities of modeling and adaptation of cybersecurity in a new projected cybersecurity laboratory with the environment of artificial intelligence application in this virtual environment of modern security.
Face skin tone adaptive automatic exposure control

In face-priority automatic exposure control in digital camera systems, exposure adjustment is typically made irrespective of the face skin tone, i.e. how dark or bright the face is. As a result, a face can become over exposed when it is present against a very dark background, or become under exposed when it is present against a very bright background, depending on the face skin tone and scene content. Adapting the exposure control to the face skin tone will result in well-exposed faces in various capture scenarios, and hence better image quality.This paper presents a novel face skin tone adaptive automatic exposure control solution. Using a well-trained neural network based face skin tone predictor, the likelihoods of dark and bright face skin tones are calculated. An algorithm adjusts the bounds of the target brightness of the exposure control based on the face skin tone likelihoods and a set of configuration parameters. The face skin tone adaptive brightness bounds then guide the frame exposure adjustment. Experimental results demonstrate the outperformance of the proposed solution over conventional exposure control that does not take into account the face skin tone information.
Employing immersion to communicate archaeology: A visitor-centered approach

The present thesis examines how the museum visitor’s experience is being transformed by various developments and particularly by the advent of virtual reality technology. The research focused on identifying the problems of communicating the archaeological information to the museum audiences while highlighting best practices and proposing solutions. The immersive function of virtual reality was examined for its potentials to enhance the visitor’s perception, learning process and overall museum experience, while an attempt to restore how immersion is being perceived in the cultural field has been made. At the same time, common misuses and traps were highlighted and followed by instructions for the best employment of virtual reality by the museums. The User Experience (UX) Design approach is proposed by this thesis as a potential standard methodology to be adopted by the museums for interpreting the results of the visitor studies into concrete design solutions. Finally, all the insights gained during this research were accumulated into a framework of principles, aims and guidelines for the optimal museum experience with the incorporation of virtual reality. (Less)
Movie recommender based on visual content analysis using deep learning techniques

Nowadays there is a growing interest in the artificial intelligence sector and its varied applications allowing solve problems that for humans are very intuitive and nearly automatic, but for machines are very complicated. One of these problems is the automatic recommendation of multimedia content. In this context, the work proposed try to exploit Computer Vision and Deep Learning techniques for content analysis in video. Based on intermediate extracted information a recommendation engine will be developed allowing the inclusion of learning algorithms using as base data trailers of the films. This project is divided into two main parts. After getting the dataset of movie trailers, the first part of the project consists of the extraction of characteristics from different trailers. For this purpose, computer vision techniques and deep learning architectures will be used. The set of algorithms goes from computer vision tasks as the analysis of color histograms and optical ow to complex analysis of actions or object detectors based on Deep Learning algorithms. The second part of the project is the recommender engine. For the recommender, different machine learning and Deep learning methods will be put into practice in order to learn efficiently about correlations between data. This recommender will be trained using neural networks over the proposed selected dataset. Three different options will be made with three different architectures for the recommender engine. The first will be a simple sequential neural network, the second an autoencoder and the third a double autoencoder. To compare the results of the three options, objective metrics (MSE, MAE, precision) and subjective metrics (polls) will be used. The final output of the project is provide from one input trailer, the ten best matches only based on the content analysis and the trained recommender.
Wavelet based Multi-carrier Communications with Bit Loading under Time-domain Equalization

Thesis(Doc. of Eng.)--Electrical and Computer Engineering, Graduate School, Bangkok University, 2019
The Exhibit of Industrial Robots Based on Concepts of Technology Education: Take “Smart Manufacturing Experience Zone” at National Science and Technology Museum as an Example

One of the museum’s missions is education. Based on the orientation of the National Science and Technology Museum, science and technology knowledge is essential. The exhibition of science and technology is the basis of the museum to promote the activity of science and technology education. In 2018, the National Science and Technology Museum built the exhibit of industrial robots at the smart manufacturing experience zone of power and machines gallery per the 4-year project of the Ministry of Education for achieving a smart museum. The purpose of the exhibit is to deliver the concepts of smart manufacturing and industry 4.0 and to promote innovative technology education. The design concept of the exhibition is an in-depth experience for the knowledge of industrial robots. Through techniques of digital media and interactive applications, the professional subject can be much enjoyable, attractive, and understandable for the public. The exhibit of industrial robots consists of five sections: the definition of robots, the historical development of industrial robots, the mechanical structure, and applications of industrial robots. In this exhibit, thirteen industrial robots, including the types of 6-DOF series robots, SCARA and wafer robot, are applied for the display of products and miniatures, demonstration for various processes as well as experience of interactive devices. In a word, the exhibit is not only the material of technology education but also a successful example for the cooperation between the museum and industrial companies.
Weights which respect support and NN-decoding

In this work we explore a family of metrics over a finite field ${\mathbb{F}_q}$ which respect the support of vectors. We show how these metrics can be obtained from the edge-weighted Hamming cube and, based on this representation we give a description of the group of linear isometries (for q > 2). Next we introduce the concept of conditional sum of metrics and determine what are the conditions that, out of two metrics respecting the support, gives rise to a new such metric. Finally we introduce the labeled-poset block metrics, a new family of metrics which respects support of vectors, filling a gap existing in the known universe of such metrics. For this family we give a full description of the group of linear isometries and determine sufficient conditions for the existence of a MacWilliams’ identity.
An Overview of the 2019 Language and Intelligence Challenge

This paper provides an overview of the 2019 Language and Intelligence Challenge (LIC 2019), which assesses the ability of machines to understand language and use language to interact with humans. The challenge comprised three tasks: information extraction (IE), knowledge-driven dialogue, and machine reading comprehension (MRC), all providing large-scale Chinese datasets and open-source baseline systems. There were 2,376 teams that took part in the challenge, with a total of 6,212 system runs submitted. The participating systems performed quite well, offering a 21.65% increase over the baseline in IE, a 37.40% increase in the dialogue task, and a 34.09% increase in MRC.
VideoSwarm: Analyzing Video Ensembles

We present VideoSwarm, a system for visualizing video ensembles generated by numerical simulations. VideoSwarm is a web application, where linked views of the ensemble each represent the data using a different level of abstraction. VideoSwarm uses multidimensional scaling to reveal relationships between a set of simulations relative to a single moment in time, and to show the evolution of video similarities over a span of time. VideoSwarm is a plug-in for Slycat, a web-based visualization framework which provides a web-server, database, and Python infrastructure. The Slycat framework provides support for managing multiple users, maintains access control, and requires only a Slycat supported commodity browser (such as Firefox, Chrome, or Safari).
Deep Universal Dependencies 2.4

Deep Universal Dependencies is a collection of treebanks derived semi-automatically from Universal Dependencies (http://hdl.handle.net/11234/1-2988). It contains additional deep-syntactic and semantic annotations. Version of Deep UD corresponds to the version of UD it is based on. Note however that some UD treebanks have been omitted from Deep UD.
The Effect of Youth Happiness Physical Education Program on Vitality, Self-esteem, and Adaptation to School Life

Purpose: The purpose of this study is to examine the effects of the happiness physical education program on vitality, self-esteem, and adaptation of school life for elementary school students.BR Method: This study investigated the effects of the happiness physical education program on the vitality, self-esteem and school life adaptation using the SPSS 21.0 statistical program. In order to minimize the error between groups, covariance analysis (ANCOVA) was performed by setting the pre-test as a covariate.BR Results: The results of this study are follows. 1) As a result of examining the effects of the vitality of happiness physical education program for elementary school students, vitality was improved effectively after participating in happiness physical education program than before. 2) As a result of examining the effects of self-esteem of happiness physical education program for elementary school students, self-esteem was improved effectively after participating in happiness physical education program than before. 3) The effect of happiness physical education program on elementary school students’ adaptation to school life was higher than that of happiness physical education program, but it was not statistically significant.BR Conclusion: In summary, participation in elementary school students’ happiness physical education program can be evaluated as enhancing vitality in daily life and enhancing self-esteem.
Pengembangan Media Pembelajaran Bahasa Indonesia (Bandos) Dengan Model Problem Based Introduction (PBI) Berbasis Multimedia Untuk Kelas VII SMP

This study aims to study the results of the development of multimedia-basedlearning media in Sambi 1 Public Middle School, which was then to find out thefeasibility of the media being developed and to help improve the effective results ofthe learning media developed. The population in this study were students of class VIIA State Junior High School 1 Sambi Boyolali 2018/2019 total registrants 28 students.Data is obtained through questionnaires, observation and registration. Research andDevelopment (R & D) is a method used by researchers, with the proposed analysis,Analysis, Design, Implementation, Testing and Maintenance (Waterfall) expected todevelop media that are easy to use and increase interest in learning. The averageresults of the product feasibility percentage developed from media experts amountingto 78.12% are categorized as feasible and from material experts 84% arecategorized as very feasible. Based on the results of experts related to media andmaterials in the media, it can be concluded that multimedia-based Indonesianlanguage learning media with problem-based model recognition for class VII SMPcan be categorized as feasible for use in learning. Effectiveness test results are theaverage results of students showing the number 0.71 so that the increase can becategorized high so that the learning media developed prove effective for use inlearning. Discussing the use of media problem-based learning (PBI) learningmethods, the experimental class in this study managed to make students moreinterested, more active, and make the comfort class more conducive.
OPTAR: Automatic Coordinate Frame Registration between OpenPTrack and Google ARCore using Ambient Visual Features

This thesis presents a system for the estimation of the coordinate frame registration between OpenPTrack and Google ARCore. OpenPTrack is a multi-camera solution that integrates people tracking, skeleton tracking, and pose recognition. ARCore is a framework for the development of Augmented Reality applications on smartphones. The transformation between the two coordinate frames is obtained by exploiting visual features observed by both the phone and OpenPTrack cameras.
Truth-Conditional Semantics and Characterization Theorems for Urn Logics

The traditional theory of semantic information, originally proposed by Bar-Hillel and Carnap (1953), provides a versatile and pretty plausible conception of what kind of thing semantic information is. It embodies, however, the so-called “scandal of deduction”, a thesis according to which logical truths are informationally empty. The scandal of deduction is problematic because it contradicts the fact that ordinary reasoners often do not know whether or not a given sentence is a logical truth. Hence, it is plausible to say, at least from the epistemological standpoint of those reasoners, that such logical sentences are really informative. In order to improve over traditional theory, we can replace its classical metatheory by the so-called urn logics, non-standard systems of logic (described in detail below) that better describe the epistemological standpoint of ordinary reasoners. Notwithstanding, the application of such systems to the problem of semantic information faces some challenges: first, we must define truth-conditional semantics for these systems. Secondly, we need to precisely distinguish two systems of urn logic, namely, perfect and imperfect urn logics. Finally, we need to prove characterization theorems for both systems of urn logic. In this paper we offer original(and hopefully, elegant) solutions for all such problems.