Reviewerly/exHarmony huggingface dataset:
Toward the Personalization of Copyright Law

In this Article, we provide a blueprint for personalizing copyright law in order to reduce the deadweight loss that stems from its universal application to all users, including those who would not have paid for it. We demonstrate how big data can help identify inframarginal users, who would not pay for copyrighted content, and we explain how copyright liability and remedies should be modified in such cases.
PENGEMBANGAN DESAIN IKLAN POSTER DIGITAL SEBAGAI MEDIA PROMOSI DENGAN MENGGUNAKAN APLIKASI ADOBE PHOTOSHOP PADA CV PRIMAVISTA MALANG

The purpose of this study is to develop promotional media using company digital poster as online media of promotion with Adobe Photoshop software. The method of this research was action research, The company digital poster was evaluated by distributing questionnaires to 10 respondents consiting of 2 computer expert, 2 marketing expert, 2 permanent user, 3 prospective users, 1 Company Officer. To measure the quality of digital poster effectiveness used EPIC theory. The final result of dimension totally is 3.74 then digital poster could be said to be effective as promotional media.
A Novel Cross-Dimensional Image Processing Technique: Toward a 3D View of a 2D Image

The domain of image processing has been very popular among researchers since a very long time. It is a well-known fact that there are myriad objectives that can be met with this subject. Through this paper, we are proposing a novel technique whereby we will train our system by processing images on a two-dimensional plane and subsequently produce a resultant three-dimensional view of an image. We have attained this transformation through cross-dimensional image processing by studying, understanding and analyzing the various attributes and properties of an image. This cross-dimensional image processing technique explores the existing digital image processing domain where the inputted 2D image is mapped to produce a 3D view of the image in 3D space.
Collaborative Editing of Graphical Network using Eventual Consistency

This thesis compares different approaches of creating a collaborative editing application using different methods such as OT, CRDT and Locking. After a comparison between these methods an implement ...
Plug and Play Deep Convolutional Neural Networks

Major gains have been made in recent years in object recognition due to advances in deep convolutional neural networks. One struggle with deep learning is identifying an optimal network architecture for a given problem. Often different configurations are tried until one is identified that gives acceptable results. This paper proposes an asynchronous learning algorithm that finds an optimal network configuration by automatically adjusting network hyperparameters.
Integrating Local and Global Data View for Bilingual Sense Correspondences

This paper presents a method of linking and creating bilingual sense correspondences between English and Japanese noun word dictionaries. We used local and global data views to identify bilingual sense correspondences. Locally, we extracted bilingual noun words by using simple sentence-based similarity. Globally, for each monolingual dictionary, we estimated domain-specific senses by using a textual corpus having category information. The extraction method is based on the sense similarities which are obtained by word embedding learning. We incorporated these data views. More precisely, we assigned a sense to each noun word of the extracted bilingual words keeping domain (category) consistency. We used the WordNet 3.0 and EDR Japanese dictionaries using Reuters and Mainichi Japanese newspaper corpora to evaluate our method. The results showed that the integration of local and global data views improved overall performance and we obtained 318 within the topmost 1,000 bilingual noun senses. Moreover, we found that the extracted bilingual noun senses can be used as a lexical resource for the machine translation as the translation results obtained by using our method was better than those obtained by a bilingual dictionary and slightly better than the results obtained by SYSTRANet.
Feature subset selection for the multinomial logit model via mixed-integer optimization

This paper is concerned with a feature subset selection problem for the multinomial logit (MNL) model. There are several convex approximation algorithms for this problem, but to date the only exact algorithms are those for the binomial logit model. In this paper, we propose an exact algorithm to solve the problem for the MNL model. Our algorithm is based on a mixed-integer optimization approach with an outer approximation method. We prove the convergence properties of the algorithm for more general models including generalized linear models for multiclass classification. We also propose approximation of loss functions to accelerate the algorithm computationally. Numerical experiments demonstrate that our exact and approximation algorithms achieve better generalization performance than does an L1-regularization method.
China’s Huangshan 168: “Internet Plus” Outdoor Adventure

Beijing Tourye Outdoors Culture Communication Co., Ltd. is a company dedicated to outdoor team building training, experiential training in real settings, outdoor training for youth, light adventure sports for entrepreneurs and products that help culture development through outdoor sports. “Huangshan 168” International Trekking Expedition Line is a major outdoor-adventure-themed program planned and designed by Tourye in 2015. With the rapid advancement of Internet technologies nowadays, Tourye utilized the strategy of “Internet Plus,” integrating digital technology with outdoor adventure programs and digitalizing line exploration, trek security, and camp site management. Effective use of mobile Internet technology made Tourye a pioneer among the ranks of leading Chinese outdoor adventure companies and created a new trend in outdoor digital management.
KESANTUNAN IMPERATIF DALAM INTERAKSI ANTARMAHASISWA FAKULTAS TARBIYAH DAN ILMU KEGURUAN IAIN PONTIANAK: Kajian Pragmatik dan Etis Pendidikan Islam

Imperative politeness is one of focus in character building education. This is because language politeness or in spoken language is part of main pilars in character education. Based on the research, students of teacher training and education faculty in State Islamic Institute Pontianak showed the students tend less polite in spoken. This reveals from their imperative spoken in interaction among them. Meanwhile their spoken language that they used represents their characteristics and become problematic because they are studying at teacher training and education faculty in State Islamic Institute Pontianak in which is place for graduating candidate of teachers. In methodology, this research is qualitative with pragmatic approach. In the research, method of collecting data used method of listening and capability. Object of the research is students who study at teacher training and education faculty in State Islamic Institute Pontianak.
An Outreach Program Focusing on Design Process and 3-D-printing

Abstract Over two summers, we conducted a summer teaching class about advanced manufacturing and 3D printing (project with Department of Energy DOE). 3D printing is going to be one of the most innovative technologies of the current century, with diverse applications in education, engineering, art, and design. With our summer program, our objective is to serve advance manufacturing, as an evolving technology and to improve STEM education and prepare the new generation of high-school students (future engineers) by the use of the existing tools. Through the use of programs, such as CREO and Autodesk Inventor, as well as 3D printing concepts, we include both technology and basic traditional STEM knowledge, such as math and science. These tools allow the students to reach their objectives without going through complex mathematics and engineering concepts and methods. This way, these projects will mostly focus on critical thinking and the development of creative solutions to problems. Without deep mathematics knowledge, students were able to conceptualize, customize and prototype their design. The visual nature of these tools (CREO and Inventor), and the 3D printing technology enabled high-school students to grasp the technology and concepts very quickly. The purpose of this paper is to demonstrate the design and implementation of an experiment, from basic parts. In particular, we will discuss the lesson learned, such as: - Instead of going through the program chapter by chapter, we are encouraging collaboration and integrated work, through a set of projects that students need to select only five of them that fit their need and curiosity. - Going through the design process, step-by-step: define the problem, background research, specify the requirements, brainstorm solutions, development work, prepare the prototype and finally assessment and analysis. Students have the ability to create their own designs using tools to reach a creative design and concrete outcomes. Most importantly, project methodology will be discussed. We discuss the project design program from students’ point of view, and the experience earned in design, integration, and also in written and oral communication skills. Methodology used to evaluate the effectiveness of this design program in term of learning outcomes is also described.
Deviation from Established Standards in LSP: Simplification or Complication?

In today's highly globalised economy speakers of different languages and respective cultures meet and communicate on a daily basis.Hence, it is of paramount importance that formal education at all levels fosters foreign language skills informed by intercultural competence that today's students will need when joining the job market and pursuing their professions.To best cater for the needs of students of different professions, language teaching and learning needs to be adapted to the specific needs of individual professions as well as current and emerging trends in language pedagogy.The exploration and dissemination of relevant expertise and good practice in the field of foreign language pedagogy is the main aim of these proceedings, which include the papers of the 10 th International Language Conference on "The Importance of Learning Professional Foreign Languages for Communication between Cultures" held on 20 and 21 September 2018 at the University of Maribor, Faculty of Logistics.
A Survey on Solar Energy Prediction using AI based Techniques

Artificial Intelligence termed as the coined term AI is being used in several applications; wherein the data complexity is high of the size is non-trivially high. This paper presents a survey on AI allied techniques for solar irradiation prediction problems where the challenges mentioned for the basic AI problems to encounter have to pertain keeping in mind the size and the complexity of the data. The various ANN based structures with the relevant challenges gave been cited. The mathematical computation of the error descent for neural architectures has also been provided. It is expected that this survey would pave a path for future researchers in designing their research around the framework of ANN design.
Review of Codes, Cryptology and Curves with Computer Algebra

Codes, cryptology and curves are widely used today for secure as well as reliable communication. This book aims to introduce these topics to students of computer science, mathematics and physics at the masters level. It also looks at the application of computer algebra for solving related problems. It consists of twelve chapters contributed by four authors and published by Cambridge University Press. The book is also available in hardback and e-book formats, the price/ISBN being US$160/9780521817110, and US$52/9781108547826, respectively.
RAGAM DAN ARAH PERTANYAAN PENYIDIK DALAM BERITA ACARA PEMERIKSAAN PERKARA PIDANA ANAK

This study aims to report a study on the patterns of Indonesian police strategies in examining criminal cases involving children. The ability to ask questions is instrumental for the investigators. The variety, content, and direction of the investigators’ questions determine the value of information obtained from investigations(see Clarke &amp; Milne, 2001). By using Strauss and Corbin’s qualitative paradigm, Glacer’s ground theory as well as Milne’s analytical frameworks, the present study has revealed that despite the fact that police investigation reports contained a lot of unproductive questions that might lead to unproductive answers, they compensated these with other investigative questioning strategies to reveal more information. Therefore effectiveness of questioning is more determined by these follow-up strategies than by the initial questions addressed to the suspects.
An Optimal Bio Inspired Genetic Algorithm for Load Balancing for Cloud Data Centre

Demand for the high performance computing for industry, education and research is continuously motivating the application development industry to manoeuvre the existing and the upcoming applications towards the cloud.The deployment or the migration of the new or existing application on cloud data centres demands greater skills for development and maintenance of the applications.The biggest challenges for the data centre service providers are to balance the bottleneck of performance and cost.Many application or service owners have demanded for higher performance at a higher cost.Nevertheless, the traditional customers base have attracted towards cloud computing due to the low cost and higher performances.Thus for the data centre service providers it is the challenge to make the highest performance available towards the customers in the least cost.In order to make this challenge possible, the data centre service providers deploy various load balancing strategies for the most effective use.A number of research attempts are made towards achieving the best possible load balancing strategy by number of parallel research attempts.Many parallel research attempts have demonstrated the adaptive, strategic and just in time scheduling and load balancing algorithms with notable reduction in time for scheduling.Nonetheless, the previous works are always outperformed by the new algorithms proposed by other research works.In the recent time, the use of genetic algorithms and genetic optimization algorithms has demonstrated higher performances.However, the uses of biogenetic algorithms have the chance to improve the performance further as always.Thus, this work proposes an additional optimization using proposed bio genetic optimization for effective balancing the data centre tasks.The proposed method demonstrates the 4% higher performance compared to the existing methods for a less loaded data centre and 16% improvements for a highly loaded data centre.
Designing an Extensible Domain-Specific Web Corpus for “Layfication”

In the era of data-driven science, corpus-based language technology is an essential part of cyber physical systems. In this chapter, the authors describe the design and the development of an extensible domain-specific web corpus to be used in a distributed social application for the care of the elderly at home. The domain of interest is the medical field of chronic diseases. The corpus is conceived as a flexible and extensible textual resource, where additional documents and additional languages will be appended over time. The main purpose of the corpus is to be used for building and training language technology applications for the “layfication” of the specialized medical jargon. “Layfication” refers to the automatic identification of more intuitive linguistic expressions that can help laypeople (e.g., patients, family caregivers, and home care aides) understand medical terms, which often appear opaque. Exploratory experiments are presented and discussed.
Coherent control of light in metastructures (Conference Presentation)

We discuss the possibility of controlling energy storage, wireless power transfer, reflection and transmission using coherent excitation of complex eigenstates in metastructures, opening new venues in the quest to control and manipulate light in integrated structures. In particular, we show that it is possible to engage complex zeros of a lossless cavity to mimic absorption and induce storage and release of energy, and efficient power transfer. We also connect these concepts with embedded eigenstates and few-photon optoelectronic devices. Our results open new opportunities for optoelectronic memories and switches operating at very low energy.
Steganographic Algorithm Based on Adapting Secret Message to the Cover Image

Steganography is the art of dissimulating secret data into digital files in an imperceptible way that does not arise the suspicion; it is one of the techniques of information security field. In this paper, a steganographic method based on the Faber-Schauder discrete wavelet transform is proposed, the embedding of the secret data is performed in the Least Significant Bits of the integer part of the high frequency coefficients. The secret message is decomposed into packets of K bits, and then each packet is transformed into another packet based on a permutation that allows obtaining the most matches possible between the message and the K-LSBs of the coefficients. To assess the performance of the proposed method, experiments were carried out on a large set of images, and a comparison to prior works is accomplished. Results show a good level of imperceptibility and a good trade-off imperceptibility-capacity compared to literature.
A aplicação do DOI para publicações no Portal de Periódicos da UFGD e a busca por novos indexadores

This paper aims at presenting a case study about the work developed by the Publisher of Federal University of Grande Dourados (UFGD) regarding the UFGD Portal of Scientific Journals. The UFGD Publisher’s main goal was to improve the journals’ quality and disseminate the university scientific production. It tells the UFGD Publisher experience with DOI (Digital Object Identifier) acquisition through CrossRef/PILA (Publisher International Linking Association) and discusses the administrative and technological procedures involved in this process. This paper also brings information on how the journals available on UFGD Portal were adapted to the requirements of several national and international databases and directories (indexers), such as the Directory of Open Access Journals (DOAJ).
DIDACTIC OPPORTUNITIES AND CONDITIONS OF APPLICATION OF TECHNOLOGY WEBQUEST AS A DIDACTIC FORM IN PROFESSIONAL TRAINING OF STUDENTS

The article is devoted to the methodological problem of the use of information and communication technologies in the system of higher education. The formation of new models of educational activities with the wide use of information and communication technologies is the main component of the modernization of education. In addition, modern higher education is faced with the task of training students in accordance with federal state educational standards. The task requires the search for new technologies for the organization of educational activities. One of these technologies is the Webquest technology, which can be aimed at solving the problem of effective professional training of students. As a solution to this problem, didactic possibilities and conditions for using the WebQuest technology have been identified and described.
Modeling and Model-Based Testing of Software Product Lines

Software product line (SPL) engineering has become common practice for mass production and customization of variability intensive systems. A software product line comprises a family of software sys ...
Efficient Algorithms for Large-Scale Correspondence Problems in Computer Vision

In this thesis, we investigate the problems of dense optical flow and disparity estimation, camera trajectory estimation from a sequence of brightness and depth images, and geometry and texture estimation from a sequence of RGB-D images.Our focus lies on dense methods, taking into account all the information contained in the images. Unlike previous methods and by using efficient algorithms and data structures, we are able to recover fine details, while still correlating all the given data.
Novel Method to Improve the Imaging Accuracy of Defect Based on Zero-Signal Filling for the Plate

Many effective image-based imaging algorithms are available for detecting and locating the defects for plate-like structures. The discrete ellipse imaging algorithm is widely applied in plate-like structures. However, the scattering-wave extracted by the baseline subtraction may easily be impacted by noise and the reflect wave from boundary, which significantly reduces the signal-to-noise (STN) of the scattering wave, and then leads to the degrading of imaging accuracy. To enhance the STN and improve imaging accuracy, a novel method of zero-signal filling is used in the discrete ellipse imaging in this paper. To verify its effectiveness, the imaging experiment with a circular sparse array has been conducted. The experimental results show that the method can effectively resolve the signal delay and enhance the STN of the scattering wave. The imaging accuracy can be improved obviously by this method and the defect can be located accurately.
Examining Factors Influencing the Adoption mobile application in collaborative learning

Nations are making huge investments to ensure that their citizens receive the education so that they can contribute to different aspects of development of a country. Despite the investments in education in many countries, researches show that there is need to improve the quality of education offered in tertiary institutions. To improve the quality of education offered institution of higher learning need to consider approaches that place students at the center of the learning process. One such approach is to use mobile application-aided collaborative learning. Mobile application-aided Collaborative learning promises great benefits to students and institutions. However, to successfully implement mobile application aided collaborative learning, it is important to determine if students are ready to use it. In this paper, we use the Unified Theory of Acceptance and Use of Technology (UTAUT) to determine the key factors that should be put in place for collaborative learning to be used successfully. The main contribution that this paper makes is that, it identifies the factors that Copperbelt University needs to work on so that collaborative learning can be used more effectively.
Enhanced Waters 2D Muscle Model for Facial Expression Generation

In this paper we present an improved Waters facial model used as an avatar for work published in (Kumar and Vanualailai, 2016), which described a Facial Animation System driven by the Facial Action Coding System (FACS) in a low-bandwidth video streaming setting.FACS defines 32 single Action Units (AUs) which are generated by an underlying muscle action that interact in different ways to create facial expressions.Because FACS AU describes atomic facial distortions using facial muscles, a face model that can allow AU mappings to be applied directly on the respective muscles is desirable.Hence for this task we choose the Waters anatomy-based face model due to its simplicity and implementation of pseudo muscles.However Waters face model is limited in its ability to create realistic expressions mainly the lack of a function to represent sheet muscles, unrealistic jaw rotation function and improper implementation of sphincter muscles.Therefore in this work we provide enhancements to the Waters facial model by improving its UI, adding sheet muscles, providing an alternative implementation to the jaw rotation function, presenting a new sphincter muscle model that can be used around the eyes and changes to operation of the sphincter muscle used around the mouth.