Reviewerly/exHarmony huggingface dataset:
Design of remotely operated vehicle as installer tools of tidal turbine and seismograph under water

&lt;em&gt;&lt;span lang="EN-US"&gt;T&lt;/span&gt;&lt;/em&gt;&lt;span lang="EN-US"&gt;idal turbines and seismographs constitute instruments that can be used as an earthquake detector that lead to tsunamis. As an early detection instrument for tsunami disaster, tidal turbine and seismograph are generally placed under the surface of the water. The design objective in this study is designing a Remotely Operated Vehicle (ROV) which can be used as a tool for tidal turbine and seismograph installation. The design method applied in this study is designing a prototype by following the product research and development procedures. Making control systems has three stages, namely: software design, hardware manufacture, and software and hardware integration. The made software includes the ROV motion control program through the control of Arduino Nano R2 ATMega microcontroller with programming that uses C-Basic language. The design findings show that the designed ROV can be used effectively to simulate the installation of tidal turbine and seismograph under the surface of the water in 2 meters at depth with 15 minutes of installation time in undulating water.&lt;/span&gt;
Determination of Solar Energy for the Bioclimatic Design of Housing in the City of Juliaca Peru

Solar energy is an inexhaustible source, clean and does not pollute the environment being a resource that can be used.The objective of this research work is to determine solar energy for the bioclimatic design of houses in the city of Juliaca for two systems: solar photovoltaic for the generation of electric power and solar thermal for water heating.In the development of this project the daily measurement for three months of the solar irradiation was made with a solar measuring instrument MAC-SOLAR Solarimeter SLM018c-2, where the Peak Sun Hours (HSP) were determined with the methodology of negative asymmetric distribution of 6.632 kwh/m 2 /day and an average irradiation value of 1110.04 w/m 2 in the city of Juliaca, with an optimum time interval from 9:00 am to 3:00 pm irradiation during the day, which has allowed modeling the behavior of solar energy for the design of a photovoltaic and thermal solar system; In addition, an experimental radiant floor module has been built in a bioclimatic room, which by recirculation of hot water through the floor reaches an average temperature of 20.93ºC from 6:00 am to 9:00 pm, being within the zone of comfort of the Givoni Psychometric Diagram and the Peruvian Technical Standard (NTP).
Main problems and proposed solutions for improving Template Matching

In this work we discuss the problems of template matching and we propose some solutions.Â Those problems are: 1) Template and image of search differ by a scale, 2) Template or image of search is object of rotation, 3) Template or image of search is object of an affinity. The well known method is NCC (Normalized Cross Correlation); this method can not handle scale, rotation, affinity or occlusion. Also the NCC is not preferred for binary image. So we propose here to use index similarity for example Jaccard index.
Verification of End to End Learning Concept for Mobile Robotics Platform [Kennesaw State University]

End-to-end neural networks (EENN) utilize machine learning to make predictions or decisions without being explicitly programmed to perform tasks by considering the inputs and outputs directly. In contrast, traditional hard coded algorithmic autonomous robotics require every possibility programmed. Existing research with EENN and autonomous driving demonstrates level-two autonomy where the vehicle can assist with acceleration, braking, and environment monitoring with a human observer, such as NVIDIA's DAVE-2 autonomous car system by utilizing case-specific computing hardware, and DeepPiCar by scaling technology down to a low power embedded computer (Raspberry Pi). The goal of this study is to recreate previous findings on a different platform and in different environments through EENN application by scaling up DeepPiCar with a NVIDIA Jetson TX2 computing board and hobbyist grade parts (e.g. 12V DC motor, Arduino) to represent 'off-the-shelf' components when compared to DAVE-2. This advancement validates that the concept is scalable to using more generalized data, therefore easing the training process for an EENN by avoiding dataset overfitting and production of a system with a level of 'common sense'. Training data is collected via camera input and associating velocity and encoder values from a differential drive ground vehicle (DDGV) with quadrature motors at 320x240 resolution with a CSV database. Created datasets are fed into an EENN analogous to the DAVE-2 EENN layered structure: one normalization, five convolutional, three fully connected layers. The EENN is considered a convolutional neural network (assumes inputs are images and learns filters, e.g. edge detection, independently from a human programmer), and accuracy is measured by comparing produced velocity values against actual values from a collected validation dataset. An expected result is the DDGV navigates a human space and obstacles by the EENN only inputting sensor data and outputting velocities for each motor
MOBILE PHONE DAN FLASHCARDS DALAM MEMPERKAYA KOSAKATA BAHASA INGGRIS SISWA ENRICHING ENGLISH VOCABULARY THROUGH MOBILE PHONE AND FLASHCARDS

Belajar kosakata adalah langkah awal untuk belajar bahasa asing Namun, hasil belajar bahasa Inggris siswa di Indonesia masih dibawah rata-rata. Hal ini mungkin disebabkan oleh keterbatasan kosakata siswa yang mempengaruhi kemampuan mendengar, berbicara, menulis dan membaca. Studi ini bertujuan untuk melihat apakah penggunaan handphone dan flashcards dapat meningkatkan pemerolehan kosakata siswa dan juga untuk melihat persepsi siswa kelas X terhadap penggunaan handphone dalam belajar kosakata. Penelitian ini menggunakan nonrandomized kontrol group pretest dan posttest. Sampel penelitian ini adalah siswa kelas X SMA Negeri 4 Lahat. Data dalam penelitian ini diperoleh dengan menggunakan test dan angket. Data yang diperoleh dianalisa dengan menggunakan one-way ANOVA. Hasil penelitian ini menunjukkan bahwa ada peningkatan yang signifikan dalam pemerolehan kosakata siswa dengan menggunakan handphone dan flashcards setelah diberikan perlakuan. Pemerolehan kosakata siswa dengan menggunakan handphone lebih tinggi dibandingkan dengan siswa yang menggunakan flashcards. Dari studi ini diketahui juga bahwa siswa kelas X SMA Negeri 4 Lahat memiliki persepsi positif terhadap pembelajaran kosakata dengan menggunakan handphone.Learning vocabulary is the fundamental step to learn a foreign language. Vocabulary gives contribution to the learners to perform or practice their skills better. However, Indonesian studentsâ€™ English score is still below average. It may be caused by their limited vocabulary which influence their listening comprehension, speaking, writing and reading abilities. Therefore, the objectives of this study were to see whether the use of mobile phone and flashcard could improve students vocabulary achievement and also to see the perceptions of the tenth grade students of learning vocabulary via mobile phone. The nonrandomized control group pretest-posttest design was applied in this study. The sample of the study was 90 first year students of Sekolah Menengah Atas Negeri 4 Lahat. The primary data were obtained by means of the tests and questionnaire. The obtained data were analyzed using one-way ANOVA. The results of the study showed that there was significant progress in the vocabulary achievement of the students using vocabulary learning program in mobile phones and flashcards after the treatment. The vocabulary achievement of the students using vocabulary learning program in mobile phone was higher than using flashcards. From this study it was also found that the tenth grade students had positive perception of learning vocabulary via mobile phones.
THE USE OF RUBRICS FOR THE EVALUATION OF STUDENT PRACTICE IN ENGINEERING SUBJECTS IMPROVES THE TEACHING–LEARNING PROCESS AND THE STUDENTS’ UNDERSTANDING OF THE EVALUATION PROCESS

THE USE OF RUBRICS FOR THE EVALUATION OF STUDENT PRACTICE IN ENGINEERING SUBJECTS IMPROVES THE TEACHING–LEARNING PROCESS AND THE STUDENTS’ UNDERSTANDING OF THE EVALUATION PROCESS
Commentary on: The Power of Sound Design in a Moving Picture by Kock and Louven

This commentary addresses the paper by Kock and Louven about the power of sound design in a moving picture. Some further ideas regarding the theoretical context with suggestions on future methodological considerations are given. Special emphasis on the relevance of the research approach concludes the commentary.
By two: A two-dimensional mobile game model for novice developers

The objective of this research was to discuss the processes and challenges encountered in the creation of mobile games for both Android and iOS platforms, which would help the novice game developers to enter the big world of mobile game industry. We highlighted each phase of the mobile game development. These involved suggestions on efficient brainstorming of ideas, proper selection of game engine, game design, number and type of pages, creation of levels, and distribution of complexity across the game level. In addition, other factors were considered such as the creation of User Interface and User Experience (UI/UX) as well as definition of the screen object’s sizes and positions that would be suitable in all mobile devices. The importance of agile cycles of alpha and beta testing was also discussed, particularly its influence on the enhancement of game features. However, a successful game is recognized based on its earnings. Hence, a guide on how to properly market the game was also included. A model game called “By Two” was used in this study to illustrate and explain the steps in detail.
Automated Categorization of Bugs

About 40 percent of cost spends by software companies in dealing with software bugs. A bug triage is step of fixing bugs that assigns a new bug to developer. An automatic bug triage is conducted to decrease the cost in manual work and the text classification techniques are applied. In this paper, address the problem of data reduction for bug data which are collected from various products like, Mozilla, open office and eclipse, to improve the quality of bug and to reduce the scale of bug data. To reduce the word dimension and the bug dimension we combine feature selection with instance selection which done simultaneously. To determine the feature selection and instance selection, we can a build a predictive model for a bug data set by extracting attribute from previous bug data set.
اثــــــــــر ظاهرة عسر القراءة على اداء طلبة الجامعة العراقيين دارسي اللغة الانجليزية لغة اجنبية بأدائهم في استيعاب القراءة

The study has positioned dyslexia within the discipline of incapacity research in try to comprehend how this disease can be interpret through the concept of disable barrier, and has developed an essential realist point of view to expand this conception. Many students come to college except any prognosis of dyslexia by way of specialists, though academic instructors can observe signs and symptoms of dyslexia in some students via direct observation of their activities inside the classroom. This generally capacity that there is an indication of dyslexia in the student‘s ranges of attainment in literacy skills. The participants of this study were undergraduate students second year English department / College of Education/ Wasit University. They are sample of this study (40male and female). Final results of this study show that there is dyslexia between Iraqi EFL learners that have not been diagnosed previously by administrators, instructors, and families in four skills especially in reading.
Dynamic Latency Guarantee

Aiming at the deterministic demand for network latency in futurevertical industry applications, this document analyzes the existinglatency control methods for data transmission, points out the possibleshortcomings, and proposes some directions for optimizing the latencycontrol method. .
Two-stage population based training method for deep reinforcement learning

Deep reinforcement learning (DRL) methods has been widely applied on more and more challenging learning tasks, and achieved excellent performance. However, the efficiency of deep reinforcement learning is notoriously sensitive to their own hyperparameter configuration. The optimization process of deep reinforcement learning is highly dynamic and non-stationary, rather than a simple fitting process. So, its optimal hyperparameter should be adaptively adjusted according to the current learning process, rather than using a fixed set of hyperparameter configurations from beginning to end. DeepMind innovatively proposed a population based training (PBT) method for deep reinforcement learning, which achieved hyperparameter adaptation and made the model better trained. However, we assume that at the early stage when the learning model has little knowledge of the environment, frequent hyperparameter change will not be helpful for the model to learn efficiently, while learning with a reasonable fixed hyperparameter configuration will help the model obtain necessary knowledge as quick as possible, which we consider is more important for reinforcement learning at early stage. In this paper, we verified our hypothesis through experiments, and a Two-Stage Population Based Training (TS-PBT) method is proposed, which is a more efficient population based training method for deep reinforcement learning. Experiments show that at the same computational budget, our TS-PBT method makes the final performance of the model significantly better than the PBT method. TS-PBT achieved 40%, 310%, 2%, 53%, 30% and 38% performance improvement over PBT separately in six test environments.
Free speech versus marginalized groups: Public and newspaper responses to the Charlie Hebdo attack

This study explores how British and American newspapers covered the 2015 terrorist attack on Charlie Hebdo. British newspapers prioritize free speech and the protection of marginalized groups compared with American ones, but both countries differentiate Muslims from radical terrorists. Attention to news media coverage of the attack is positively related to public approval of publishing the cartoons, supporting press freedom. Implications for free speech debate over Charlie Hebdo are discussed.
Securing Internet Voting Protocol using Implicit Security Model and One Time Password

This paper gives a cramped view about a web enabled application which has being originated and called Internet Voting System using Implicit Data Security which enhances security involving Login System & One Time Password.To brief more about Internet Voting System, this was being created in a more conventional way which was displayed as a dynamic website limited to users only on the computer or laptops but this is now being restructured to expand its usage to mobile users as well so that people can install it on their phones which will expand the volume of remote cast & increase the count of voters.These probable voters could be physically challenged, elder citizens, armed forces, youth and NRI's who are eligible to cast their votes.
N-FOLD GENERALIZED HESITANT IMPLICATIVE FILTERS OF HOOPS

To investigate implicative filters of hoops furthermore, we apply n-fold theory to (α, β)-hesitant fuzzy implicative filters and introduce the notion of n-fold (α,β)-hesitant fuzzy implicative filters, and obtain some conditions for a (α,β)-hesitant fuzzy filter to be a n-fold (α,β)-hesitant fuzzy implicative filter. We also study the preimage and image of n-fold (α, β)-hesitant fuzzy implicative filters.
An english-language teaching plan for children in the internet of things environment

&lt;p&gt;An important topic that need to investigate is teaching of English language. In most educational methods, a series of pre-defined and fixed subjects are used for all individuals. There is also less attention paid to modern methods in education of English language. In this paper we present an application as a modern method in education of English language. In the proposed algorithm that is in the internet of things environment, has paid attention to teaching of English language, includes the use of objects, images, pronunciation, the use of vocabulary in sentences and texts, the relevance of content with the age and culture of the child, and the relevance of the content of the courses and exercises with the amount of learning each child.&lt;/p&gt;
IMPLEMENTASI E-GOVERNMENT BERBASIS SERVICE ORIENTED ARCHITECTURE (SOA) PADA KANTOR KECAMATAN NATAR LAMPUNG SELATAN

E-government is short for from plan to implement the electronic the government .E-government is one of form or model of a system of government based on the power of digital technology, in which all in administrative work, the service for people, supervision and control section of the source of its power belonging to an organization concerned, financial, of taxes had not yet, levies which may be collected, white collar workers and rontje participated in this festival was brought under control in one system. E-government an outgrowth new as in order an increase of services the public allowing them to the main effort to lower the utilization of technology information and communication so that public services to village heads to be more transparent, accountable, effective and efficient. Offices of head of subdistricts natar is one of government institutions that is in south sample is taken at Lampung the Lampung provincial .As an institution of governance which had been has a duty and the obligation of serving the needs of the people is required to be able to always improve the quality of these services .&#x0D; One of the efforts to do is build e-government. through community service hence the need to do research in order to produce a e-government based Service Oriented Architecture (SOA) to the district office Natar Lampung South. Method of development systems used is Extreme Programming with the design of the Unified Modeling Gig Language (UML) and using the alchemy of PHP programming language, CSS and java. programing&#x0D; The end result of this research is e-government program having many access facilities for the office Natar Lampung South, so the society should not do went directly to the office in the search information and some services that needed.
An Antipodally Symmetric Optimal Dimensionality Sampling on the Sphere

We propose an antipodally symmetric sampling scheme of optimal dimensionality for the sampling of band-limited signals. The proposed scheme takes ~L2 number of samples for the sampling of spherical signal of band-limit L and the accurate computation of its spherical harmonic transform (SHT). Since the number of samples are asymptotically equal to the degrees of freedom of the signal in harmonic space, the proposed scheme attains optimal spatial dimensionality. We also formulate the SHT associated with proposed sampling scheme. We employ the antipodal symmetry of the sampling points that is exploited to separate the signal into antipodally symmetric and asymmetric signals due to which the signal splits in harmonic space into the signals of even and odd spherical harmonic degrees. The exploitation of this splitting in the formulation of the SHT makes our method computationally efficient by a factor of four in comparison with the existing methods developed for sampling schemes that attain optimal spatial dimensionality. We also analyse the numerical accuracy of the proposed SHT by conducting numerical experiments and show that the proposed sampling and its associated SHT enable accurate signal reconstruction for band-limits in the range 15 ≤ L ≤ 127.
Concept Mining in Text Documents using Clustering

Due to daily quick growth of the information, there are considerable needs to extract and discover valuable knowledge from data sources such as World Wide Web.The common methods in text mining are mainly based on statistical analysis of term either phrase or word.These methods consider documents as bags of words and they will not give any importance to meanings of document content.In addition, statistical analysis of term frequency extracts the significance of term within a document only.Whenever any 2 terms might have same frequency in their documents, but only 1 term pays more to meaning of its sentences than other term.The concept-based model that analyses terms on corpus, document and sentence levels instead of ancient analysis of document is introduced.The planned model consists of, concept-based analysis, clustering by using k-means, conceptbased similarity measure Term that contributes to sentence meaning is assigned with 2 dissimilar weights by concept-based statistical analyzer.These 2 weights are united into new weight.Concept-based similarity is used for computing similarity among documents.The concept based similarity method takes full benefit of using concept analysis measures on the corpus, document, and sentence levels in computing the similarity among documents.By using k-means algorithm experiments are done on concept based model on different datasets in text clustering .The experiments are done by comparing the concept-based weight obtained by concept-based model and statistical weight.The results in text clustering show the significant progress of clustering feature using: concept-based term frequency (tf), conceptual term frequency (ctf), concept-based statistical analyzer, and concept-based combined model.In text clustering the results are evaluated using f-measure and entropy.
FIND A SHARED VALUE IN THE SOCIAL RESPONSIBILITY OF ALGERIAN BUSINESS ORGANIZATIONS

This study aims to provide a shared value as new business model for Algerian enterprises to create economic values that improve competitiveness of enterprises while creating value for societies. This idea which we see as balancing burdens of social responsibility, placed on those companies on one hand, and guarantees them to maximize the competitive value on the other hand, and this leads us to ask about: the aims of testing the effect of adopting social responsibility in creating shared value. We used simple and multiple regression analysis method to detect the relationship between variables of this study with the optimal model proposal. Data was collected through questionnaire and distributed to a sample of managers and chief executives of economic enterprises who are active in public hygiene. In this study, we find that there is a tendency to adopt social responsibility and statistically significant relationship between social responsibility and shared valueKeywords: Social responsibility, shared value, Algeria.JEL Classifications: D21 ; M12; M14DOI: https://doi.org/10.32479/ijefi.7726
Correction to: Two-dimensional indexing to provide one-integrated-memory view of distributed memory for a massively-parallel search engine

After our paper was published on-line, the authors have learned existence of the paper by Feuerstein et al. [Feuerstein 2009].