Reviewerly/exHarmony huggingface dataset:
Mathematical formulation of dynamics of tethered UAV in tether coordinates

Application of UAV (Uninhabited Aerial Vehicle) is possible to cover a wide variety of flights including the cases when human habitation is inconvenient, high risk is anticipated, and cost is much expensive. Also, tether technology is one of indispensible advanced technology in space to connect many satellites or to construct such a very large structures as space elevator. Tethered UAV is the UAV connected with tether to any fixed point on ground or such a structure as ship or vehicle. The tethered UAV is thus possible to be employed as a UAV controlled by additional control parameter as tension of tether and constrained within a prescribed space. Fundamental flight performance is studied in this report for a tethered UAV. Mathematical formulation is discussed, and an expression of strict solution is obtained for the relation between the wind speed and flying velocity of the tethered UAV.
Representing attacks in a cyber range

Trained security experts can be a mitigating factor to sophisticated cyberattacks that aim to violate the confidentiality, integrity, and availability of information. Reproducible sessions in a saf ...
Vireo 4 Workshop. Y'all ready for this?

Presented by Texas State University, Texas Digital Library, and Texas Tech University, Pre-conference Workshop, at TCDL 2019.
Study on the position of center of gravity and position of suspension for mobile platform (T type robot base)

This paper is describes study of suspension position and center of gravity position of mobile platform (T type robot base). for the study used the simulation software "Recurdyn". Made a model fitted with a suspension on software. Model is change suspension position and Mass position, assessed for static stability. 216 models the angle static overturning in three directions (front,rear,side) was assessed. The result of simulation suggested that suspention position is 80[mm] in the front and Mass position is 90[mm] that can maintain stability in three directions
Scripting at the speed of compiled code

Scripting languages such as Python, R and Matlab have a rich set of data structures and offer extensive ecosystems of freely available packages and libraries. These languages are therefore ideally suited for solving hard and complex problems - as such they are an excellent point of entry into the world of high performance computing. A drawback, however, is that programs written in a scripting language may run an order of magnitude slower than compiled Fortran or C/C++ code. Here we'll compare various strategies for making your scripts run on par with compiled code.
Opinion Words Co - Extraction in Opinion Mining using Sentiment Identification

With the looks of internet 2.0, people clad to be more and more anxious to precise and impart their insights on internet with reference to everyday activities and worldwide problems conjointly. Over the most recent couple of years, volumes of opinionated content have developed quickly and are accessible publically moreover. Social media assumes an essential job by enabling individuals to impart and organizations their insight on items, occasions, themes, people, and associations as remarks, audits, web journals, tweets, announcements, and so on right away. Opinion mining could be types of language process for following the temperament of the final population a few specific items. It can enable advertisers to assess the accomplishment of a promotion battle or new item launch, figure out which variants of an item or administration are famous and distinguish which socioeconomics like or aversion specific item includes. It is troublesome for individuals to examine all assessments at an opportunity to use sound judgment. In past work, mining the sentiment relations between opinion targets and assessment words was aggregate extraction. The most used ways are the closest neighbor rules and syntactical patterns. To expand the execution of these techniques, we can uniquely structure impeccable, high-accuracy designs. Nevertheless, with a development in corpus measure, this procedure is likely going to miss more things and has cut down audit. To handle this existing disadvantage, this framework projected a unique Complementary Aspect-based Opinion Targets with the Opinion Words Co-Extraction algorithmic rule.
Growth Effects of Foreign Direct Investment (FDI) From China and Other Sources in Africa: The Role of Institutional Quality

This study examines the effects of Foreign Direct Investment (FDI) from China, United States (US), European Union (EU) and the rest of Asia on economic growth conditional on the institutional quality of sub-Sahara Africa for the period (2003-2012). We develop theoretical argument from the existing literature to show that institutional heterogeneity may be one of the description for mixed findings of previous empirical studies on the growth effects of Chinese FDI in Africa. We use rule of law to proxy for institutional quality. Using Panel Threshold Regression (PTR) model, we show that FDI from all these sources have a positive impact on growth only above certain thresholds of rule of law and these thresholds differ from one source to the other. However, for FDI from China and the rest of Asia, the difference is marginal. That is, the growth effect of FDI from Asia is positive in countries with governance rating of at least -0.89 while negative in countries falling within a range of -1.35 and -0.89. In terms of FDI from EU and US, beneficial outcomes on growth are realized in countries with governance rating of at least -0.90 and -0.62, respectively. These results confirm that China and the rest of Asia do invest in both weak and strong governance countries in sub-Sahara Africa although the impact is different. Whereas, US and EU seem to invest only in strong governance African countries. However, the former is more sensitive to institutional quality than the latter.
Building Open Research Infrastructure, One ORCID Integration at a Time

Building Open Research Infrastructure, One ORCID Integration at a Time was presented by Gabriela Mejias at the ORCID Austrian Consortium Workshop on 13June, 2019.
CASE BASED REASONINGUNTUK MENDIAGNOSIS GIZI BURUK PADA ANAKUSIA 0-5 TAHUN MENGGUNAKAN METODE COSINE SIMILARITY

Case Based Reasoning (CBR) method is one method to build a system with new case decision based on solution from previous cases by calculating similarity level. The calculation of similarity values ​​using the Cosinr Similarity with threshold 80%. This system can diagnose 3 diseases based on 23 existing symptoms.Based on the results of the test case obtained the results: the system can take back the old case is appropriate and has used the formulation of Naive Bayes method to distribution of disease class and used the formulation of Cosine Similarity method to calculation correctly indicated with 100% accuracy, and use 122 cases. . Based on the test of 40 new cases obtained system accuracy of 80%.
Estimation of Wind Disturbance for Mini Quadcopter in Square Tube

This paper presents some estimation results of wind disturbances for a mini quadcopter in a square tube. In the previous survey, we developed an experimental method to measure the position of the quadcopter with a motion capture system using a transparent acrylic duct. we estimated the wind disturbance when the mini quadcopter fly in the translation direction. In this paper, we estimate the wind disturbance when the mini quadcopter fly in the vertical direction. In the proposed method, we have estimated the wind disturbances based on experimental results and simulation models. Firstly, we have conducted flight experiments using the mini quadcopter in the square tube (closed space). Then, we have built simulation models that show similar characteristics of experimental results. Finally, we can find characteristics of the wind disturbances from comparison between results in the closed space and the opened space. Estimation results of wind disturbances show the characteristics of the wind forces for the mini quadcopter in the Xe, Ye and Ze -axis direction.
The New Zealand Data Science Accelerator

I’ll explain what data science accelerators are and why I see them as a really great way to develop a rich and collaborative data science community within NZ.Richard’s pilot accelerator within ESR is due to wrap up in September so it’ll be a really exciting time to hear how things are going right at the coalface.
Optimizing a Long-Lived Transaction with Verification Function

We have considered a method called Enhanced Rollback Migration Protocol, which potentially has the effects of compressing the period of compensations in a long-lived transaction, since before.In general, a compensation transaction can recover an irregular status of a long-lived transaction into the original status without holding unnecessary resources by making its consistency tentatively loose.However, it has also been pointed out that there is a difficulty of maintaining the isolation between a pair of transactions when executed in parallel.In particular, this could be more prominent under modernized scalable cloud environments.Thus, there is a proposal for concurrency control for the service level.However, there is still another risk that more computer resources will be consumed than actually necessary and an unnecessary stagnation of the processing will be caused if concurrency control is naively applied without careful consideration.Therefore, we need to implement a functionality which can optimize the processing of a long-lived transaction by selecting a suitable method between concurrency control and compensation transactions.In this paper, we propose a method in which optimistic concurrency control is applied for long-lived transactions.Furthermore, a pair of verification phases is carried out.At the beginning from a safe point, an attempt of verification is done.Then if the difficulty of isolation on a long-lived transaction executed under a competitive situation is estimated, concurrency control for the service level is applied.Alternatively, a long-lived transaction without any concurrency control is executed.At the next reachable safe point, another attempt of verification is performed.Then if a failure of serialization is detected, a set of compensation transactions is invoked to recover the original long-lived transaction by returning to the first safe point.We evaluated this approach by using numerical simulations and confirmed the basic features.This approach can realize optimizing and enhancing the performance of a long-lived transaction.We regard this approach applicable even to the modernized scalable cloud environments.
STUDY EVALUASI JARINGAN DRAINASE KELURAHAN LOA IPUH KECAMATAN TENGGARONG

The purpose of this study is to analyze the capacity of the existing drainage channel on Jalan Pasundan Samarinda adequately or not by comparing the discharge available in the field with maximum rain discharge. The current condition of the drainage network on the Loa Ipuh Urban Road Section is one of the roads in Tenggarong City. The drainage channel needs to be re-evaluated. Based on these problems, this study needs to be identified as to the cause of the Loa Ipuh Village Road channel in Tenggarong Sub-District which is not functioning optimally so that the solution to the problem can be determined. In its implementation, field studies are needed regarding the existing channel dimensions, the furthest path length, concentration time, and current land use utilization. In analyzing secondary data, it is necessary to calculate the extent of watershed, test hypotheses, statistical parametric analysis, frequency analysis, test the goodness of fit, determine the rain plan, and analyze the intensity of the rain plan. Rain intensity analysis plans for return periods 2, 5, 10 and 25 years respectively. After checking, it was found that the available capacity was not sufficient to accommodate the maximum rainfall that occurred so that a drainage system was needed to be repaired. One solution that can be applied is to make new drainage.
Verification of Finger Motion Discrimination using k-NN method for Myoelectric Hands

In society more and more delicate work is required, to make an artificial hand more convenient, it must support more works. To accomplish this, increase in the number of motion that the users can control is necessary. By using current motion discrimination method, the users can’t manipulate the fingers freely because the method can’t discriminate finger motions. Therefore, this study is set to development of a motion discrimination method that supports wrist-motion, finger-motion and hand-motion. The method is verified with cross validation in those nine and eleven motions.
Multi-functionality of Chopsticks Movement using 6 DOF Robot in Chopsticks-type Meal Support Robot

In the past chopsticks-type meal support robot, the movement of chopsticks were only catch, so there was little food which can be grasped. Therefore, 6 DOF robot which can be achieved all of postures of the chopsticks is replaced and the exclusive unit of chopsticks which is possible to press food has been developed. A miniature camera is installed at the tip of robot arm, and take a picture of food. By carrying out processing of images, the preprocessing program of grouping such as division of large size food into parts is executed. A demonstration experiment using food on the market was performed, and it was confirmed that it became easy to grasp with chopsticks.
Pengembangan Media Pembelajaran Pengenalan Ralali (Rambu-Rabu Lalu Lintas) Berbasis Adobe Flash Untuk Taman Kanak-Kanak

The introduction of traffic signs is one of the materials for kindergarten, especially class B4 at Bhayangkari Pacitan Kindergarten. The media used still uses textbooks in the form of text and still images, using teaching aids in the form of real tools and traffic parks, and still using conventional methods (lectures, and question and answer). In addition, students tend to play more quickly and get bored than learning. So the need for learning media that displays 2D objects in real-time, one of which uses adobe flash .. using this media is expected to be able to provide motivation and enthusiasm for student learning, so that the learning process becomes fun and student results increase. This study uses the Research and Development method. The procedure in this study is problem identification and data collection, product revision, and final product. Data collection techniques used were observation, wawn interview, literatul study, and questionnaire. While to find out the feasibility of learning media using the descriptive formula percentage. To measure the effectiveness of learning media using pre-test and post-test, and calculated using the normality test. The results of the media expert's assessment amounted to 80.95% which included feasible categories and material experts 89.36%, as well as the pre-test results of 82.15 and post-test 91. It can be concluded that the learning media is suitable for learning sign recognition material traffic signs, as well as effective in improving understanding of material and student learning principles.
Analysis and Synthesis of Codes of Generators in Quartus II

This work is devoted to the design and modeling of code sequence generators as the basic elements of noise immunity and cryptographic systems. The paper considers the construction of reversible generators of code sequences, which, although having a lower rate of operation, have a much higher noise immunity. Designing and developing such generators facilitates special software such as Quartus 2. This program allows you to obtain a code sequence generator, time charts and performance analysis.
Una “nuova patria”. Confini e migrazioni nei "Promessi Sposi" di Alessandro Manzoni

The paper examines the most important Italian historical novel and focuses on its principal migration routes, especially concerning main characters.It also examines a variety of representations of border and frontier (also in a metaphorical sense) in the novel.
Pembobotan Atribut Pso Untuk Optimasi Svm Dalam Kasus Kelayakan Kredit Bank

Credit success in a bank plays a role in maintaining the survival of a bank. Therefore it is very necessary to measure creditworthiness accurately to classify customers with good credit and bad credit. Based on these conditions the right data mining technique to use is classification. One of the data mining classification techniques is Naive Bayes Classifier (NBC), but the accuracy is still less than the C4.5 and SVM algorithms. This final report describes the steps of research using the Particle Swarm Optimizatin (PSO) algorithm to weight attributes to increase the accuracy of SVM. This study uses data set public German Credit Data. The validation process uses tenfold-cross validation, while testing the model using confusion matrix and ROC curve. The results show SVM accuracy increased from 74.6% to 76.50% after combined with PSO.
Identifikasi Kekeliruan Penggunaan Metode Statistika pada Artikel yang Dimuat di Jurnal OJS Unud

Abstract: The statistical method plays a role in scientific research. Use of appropriate statistical methods in analyzing data influences research conclusions. Misuse statistical methods will lead to incorrect conclusions. This study aims to identify the misuse of statistical methods in articles published in the OJS UNUD Journals. We reviewed 97 articles from OJS UNUD Journals published in 2017. This study found several misuse statistical methods these included: misuse multiple linear regression analysis, generalize conclusions based on descriptive statistics, inappropriate use of ANOVA, misinterpretation of negative correlation values, use of Chi square test for small samples, use of t-test two samples for observations with ordinal scale&#x0D; Keywords: statistical methods, misuse statistical, OJS UNUD Journal
대학 내 외국인 유학생 대상 상호동료튜터링 프로그램 연구 - 실제 운영 사례를 중심으로 -

The purpose of this study is to propose a reciprocal peer tutoring program as a extracurricular program for solving the problem of international students, and to examine the actual operation cases. The ‘reciprocal peer tutoring program’ for international students is largely aimed at ‘academic adaptation’ and ‘life adaptation’. ‘Academic adaptation’ helps students self-directed learning such as acquire academic skills and time management. It can lead to success of majors and liberal arts learning by showing synergy effect of learning through collaborative learning. ‘Life adaptation’ is to help understand university life, Korean lifestyle, and psychological stability and adaptation, leading to interpersonal and cultural exchanges. In other words, this program is a program that can enhance academic ability through the autonomous exchange of mutual learning among multinational undergraduates, and at the same time, to enhance the understanding of various cultures. Actually, the official name of the program run by P University is ‘academic purpose reciprocal tutoring program ’. The students who participated in the program understood the purpose of the program with voluntary participation and actively participated in the program. As can be seen from the results of the satisfaction questionnaire survey, the students ‘satisfaction survey was high, and the students’ subjective responses confirmed the positive effect of the program on the students. The results of this study can be used as basic data for the operation of customized programs for international students of the university and it will be helpful for the operation of extracurricular curriculum for international students.(PaiChai University)
A methodology in setting auto-flash light activation level of mobile cameras

The mobile and Smartphone camera market is driven by consumers' desire for better picture quality. Auto-flash is the most common flash mode setting used by consumers on their smartphones. Auto-flash technique is used in modern cameras to turn on the flash light automatically when the light level is lower than a pre-defined level. The auto-flash activation light level varies among different cameras but should be set to a value that provides a balance between good picture quality and less battery consumption. There is no published methodology on how to determine the correct light level for auto-flash activation, so I developed one based on Signal to Noise Ratio analysis, SNR10, and image sharpness analysis that determines the light settings for autoflash mode. Then the aforementioned method was tested using the Apple iPhone and Samsung Galaxy. Finally, I determined the auto-flash light activation level for these phones using this methodology.
Study on use of NFC tag in the early stage of individual instruction

Recently, at the Faculty of Engineering, not only lectures but also classes such as PBL and experimental and practical subjects are being promoted. Practice of teaching methods and educational methods is necessary for experimental and practical subjects that take into consideration differences in individual academic abilities, such as lesson formation by academic ability or small group education. In the mechanical design class, the author has prepared a support program and used it for individual guidance in order to carry out individual lesson-oriented tutoring. Therefore, individual guidance can be realized even in lectures of many people. However, the problem that the burden of teacher operation until acquisition of student information at the time of initial guidance was large was clarified. Therefore, we developed a system that utilizes NFC technology for individual guidance initial so that students can be easily identified in individual guidance initial movements, and individual information such as guidance progress situation can be notified to teachers. This paper describes a practical case on the use of NFC tags at the initial time of individual guidance.
Image Synthesis using Textual Descriptions

The synthesis of images using just detailed textual descriptions would be immensely useful.We propose a model wherein the entire synthesis would be achievable through a series of Neural Networks.To achieve this we would use a novel new method ,the Generative Adversarial Net[1], In this work, we develop a novel deep architecture and GAN formulation to effectively bridge these advances in text and image modeling, translating visual concepts from characters to pixels.[2] We demonstrate the capability of our model to generate lifelike images of natural phenomena such as sunsets,mountains using their detailed textual descriptions.A Generative Adversarial Net consists of two neural networks, a generator and a discriminator, where the generator tries to produce realistic samples that fool the discriminator, while the discriminator tries to distinguish real samples from generated ones.We further use the concept of STACK-GANs[2], to further enhance the resolution of the images.The STACK-GAN uses a two stage GAN to generate image . StackGAN-v1, to generate images from text descriptions through a sketch-refinement process. Low-resolution images are first generated by our Stage-I GAN . On top of the Stage-I GAN, we stack Stage-II GAN to generate high resolution (e.g., 256256) images. We use the same concept, to further enhance our generated images.[3] The main goal of the paper is to integrate the latest advancements, within this specific field and to generate undistinguishable images through the computer, given an appropriate input.