Reviewerly/exHarmony huggingface dataset:
Sistem Informasi Geografis Potensi Sumber Daya Alam di Wilayah Kabupaten Banggai Kepulauan Berbasis Android

Geographic Information System (GIS) is an information sistem manages data that has special information that is meant as a computer sistem that has the ability to build, store and manage and display information with geographical significance. As an example is information related to natural resources. Banggai kepulauan is one of the regencies in the province of central Sulawesi and has its capital in salakan. The economy in the regency is proud of the islands related to agricultural activities in accordance with their livelihoods utilizing natural potential. So most of the population is engaged in agriculture, plantations and fisheries. However, because there is no processing industry that is able to absorb natural products, farmer only market these natural products in the form of raw materials. For this reason, the researcher took the initiative to create an android based geographic information sistem so that the large natural potential in the region could be published throughout the Indonesian people. So that through this sistem, anyone who needs information on natural resource potential data of the regency of the archipelago proudly, especially in the agriculture, fisheries and loggin sectors, can easily access it anytime and anywhere through mobile devices in real time.
Exploring the relation between cultural values and R&D investment under the behavioral theory of the firm

This paper explores the role cultural factors play in firms’ decisions to invest in Research and Development (R&D), under the behavioural theory of the firm (Cyert & March, 1963). Based on a sample of non-financial firms from 23 countries for the period of 1990 to 2016 and two of the six Hofstede (1984) cultural dimensions, we observe that countries’ cultural values are statistically significant at explaining differences in firms’ R&D decisions. On one hand, there is a negative relation between firms’ R&D investment decisions and countries’ uncertainty avoidance. On the other hand, a positive relation is found between firms’ R&D investment decision and countries’ long-term orientation. Evidence is also found on the extent to which these cultural characteristics influence how firms’ aspirations in relation to performance discrepancies drive R&D investment.
An Architectural Style for Fog Computing: Formalization and Application

The simultaneous realization of real-time access and synchronization represents a challenge in many software architectures. This dissertation presents Fogxy, an architectural style based on the Fog Meta Model that addresses these challenges. With Seamless Computing we introduced a release-management concept for the provision of Fogxy components. To evaluate the architectural style we introduced a new evaluation method RIAP. The meta model and the architectural style were successfully applied in two industrial applications.
Periodical Development of Digital Watermarking Technique

Digital watermarking technique used to hide the information. Wide uses of internet that has increases the access of digital data like image, audio and video. There is a chance to theft the data without permission of the owner of data. To protect the copyrights of information digital watermarking is required. In this paper, the brief review on digital watermarking techniques is evaluated and described. The watermarking is produced since the image contented and could be preserved as an arithmetical impression of finger print of the image. By way of a change based on procedure is cast-off to encrypt the evidence in the histogram area that projected watermarking is vigorous sufficient in contradiction of any deprivation, equitation and occurrence.
Personalized Review Selection

With the popularity of the online social network, reviews gradually becoming the main data source for users to understand the qualities of the goods to be purchased. However, with the proliferate of online reviews, these large amounts of reviews make it difficult for users to select useful information. Aiming to enable users to quickly obtain valid information from large amounts of reviews, this paper proposes a new method named PG to implicate personalized review selection. The proposed method in our paper is efficient for users by helping them select useful information from massive reviews.
Analisis Kemampuan Memproduksi Teks Anekdot dengan Pendekatan Saintifik Siswa Kelas X MAN 1 Bima: Kajian Teks dalam Pembelajaran Bahasa Indonesia Prof. Mahsun, M.Pd

This study aims to describe the ability of students at x grade students of MAN 1 Bima in writing anecdotal text with a scientific approach. Therefore to know this problem used the theory of qualitative data analysis and quantitative analysis by using the tabulation width of student learning achievement in the book of Prof. Mahsun, MS, and other theories. The research method used in this research is a qualitative research method with the character of analytic description. Interpretation of data is done through literature method and field observation with student assignment technique writing anecdote text using the scientific approach. Based on the results of data analysis, it can be concluded that the students' ability to analyze at x grade students of MAN 1 Bima in writing anecdotal text with the scientific approach is at less-skilled value, This is evidenced from the results from students’ score that is only under minimum score. This is also evidenced by the results of qualitative data analysis and the score of students is only in the range under the minimum score. it is also evidenced from the results of qualitative data analysis and quantitative data analysis used tabulation data sheet that shows the number of the ability to write anecdote text of all students got to score 30 that is in the less skilled value category.
Analisa Kebutuhan Air Bersih Desa Leahari Kecamatan Leitimur Selatan Kota Ambon

Water has an important role in the lives of humans and other creatures in this world. There is no life in this world that does not need water. Water is a staple for human consumption and has become one of the availability of healthy and sufficient clean water. The water can come from above the ground, below or from groundwater (eg river water, lake water and so on) which must be processed before being used firstThe purpose of this thesis is to find out the results of observations in Leahari Village, South Leitimur sub-district, Ambon City based on the results of the survey, the following data are obtained with 134 families with 694 people, from the analysis used by the author to analyze using several methods, namely analysis of Time Series with the Least Squere Method, Geometric Methods, and Arithmetic Methods. And reviewing the problems of the distribution system in the village of Leahari by calculating the distribution time and even water filling. The results of the analysis of clean water in Desa Leahari for the years 2018-2028 in the future the total clean water demand is 0.0011 m³ / sec with a swell discharge of 0.000013 m³ / sec, and calculating the planning in the distribution system in the reservoir is 4.66 hours, namely from 1 to 4 o'clock and the distribution of water from 5 to 8 o'clock. With the peak hours available are 6 am and 6 pm which are determined
Photo-polymerization based endoscopic multi-layer printing system

This article presents an endoscopic 3D printer using the photo-polymerization additive method. The proposed endoscopic principle allows printing 3D objects through a flexible optical image guide. The concept is first to transmit a pattern using ultraviolet light projected through the endoscopic optical system on the printing surface. A layer by layer printing is performed by moving the focusing plane along the z-axis. The endoscopic optical design is based on a Digital Micro-Mirror (DMD) projector, an image guide (a fiber bundle of 70 000 fibers) and optical lenses. It is modeled and simulated using the Zemax optical software. The projected pattern from the DMD is injected into the image guide. Then, the pattern is refocused on the printing surface, which is the transparent bottom of a vat full of resin. First, optical losses and homogeneity of the endoscopic optical system are measured. Then, photopolymer parameters of used resin (Formlab RS-F2-GPWHH-04) are experimentally evaluated. Finally, different multi-layer objects (typically 30 layers) are printed to validate the concept of 3D endoscopic fabrication. Using a 405 nm LED, an optical irradiance of 1.7 mW/cm² on the printing surface is reached. 3D parts are printed with a lateral resolution of 150 μm and a layer thickness of 100 μm on a circular printing surface of 9.54 mm diameter.
Real Time Gym Activity Detection using Monocular RGB Camera

Action detection is an attractive area for researchers in computer vision, healthcare, physiotherapy, psychology, and others. Intensive work has been done in this area due to its wide range of appl ...
LibGuides: ENC 1101 (Brunk) - Comparison Essay: Finding Books & E-Books

This guide is designed to help students with library research as they complete assignments for Professor Brunk at the Osceola Campus.
An Efficient Framework for Secure Query Search to Verify Consequences by Using Verification Object

protect search for strategies more encrypted cloud information permit an authorized character to query facts documents of hobby with the aid of submitting encrypted query key phrases to the cloud server in a privacy-preserving manner. However, in workout, the lower back query outcomes may also be wrong or incomplete inside the dishonest cloud environment. For instance, the cloud server may additionally intentionally omit some certified outcomes to save computational sources and verbal exchange overhead. Thus, a well-functioning at ease question device need to offer a question outcomes verification mechanism that allows the records person to verify consequences. In this paper, we layout a safe, without issues blanketed, and first-rate-grained question effects verification mechanism, with the useful resource of which, given an encrypted question outcomes set, the query client now not simplest can verify the correctness of every data record within the set however also can further check what number of or which licensed statistics files aren't again if the set is incomplete in advance than decryption. The verification method is loose-coupling to concrete secure searching for strategies and may be very without troubles included into any secure question method. We accumulate the reason through building comfortable verification object for encrypted cloud information. Furthermore, a brief signature technique with noticeably low storage charge is proposed to assure the authenticity of verification item and a verification object request method is provided to permit the question purchaser to soundly gain the favored verification item. Performance evaluation indicates that the proposed methods are sensible and inexperienced.
Processing Russian inflectional morphology: A PET study of verb generation

For many years, acquisition of verbal morphology has been an issue of much debate within linguistic theory, research on first and second language acquisition, mental grammar representation, and cognitive processing.The proponents of the Dual Mechanism account claim that regularly inflected forms are computed by a ruleprocessing system, while morphologically irregular forms are processed in associative memory.The opposite Single Mechanism account claims that both regular and irregular forms are processed in associative memory.In the present PET study significant rCBF increase in the anterior cingulate gyrus of the left hemisphere (24 BA) was shown for regular verb generation.This may support the rule-based (de)compositional account.
The LegendreSobolev Package and Its Applications in Handwriting Recognition

The present work is motivated by the problem of mathematical handwriting recognition where symbols are represented as parametric plane curves in a Legendre-Sobolev basis. An early work showed that approximating the coordinate functions as truncated series in a Legendre-Sobolev basis yields fast and effective recognition rates. Furthermore, this representation allows one to study the geometrical features of handwritten characters as a whole. These geometrical features are equivalent to baselines, bounding boxes, loops, and cusps appearing in handwritten characters. The study of these features becomes a crucial task when dealing with two-dimensional math formulas and the large set of math characters with different variations in style and size. In an early paper, we proposed methods for computing the derivatives, roots, and gcds of polynomials in Legendre-Sobolev bases to find such features without needing to convert the approximations to the monomial basis. Furthermore, in this paper, we propose a new formulation for the conversion matrix for constructing Legendre-Sobolev representation of the coordinate functions from their moment integrals. Our findings in employing parametrized Legendre-Sobolev approximations for representing handwritten characters and studying the geometrical features of such representation has led us to develop two Maple packages called LegendreSobolev and HandwritingRecognitionTesting. The methods in these packages rely on Maple’s linear algebra routines.
Dynamic Data Visualization for CSEdResearch.org using Tableau and MySQL

With the increase in research in the field of computer science education over the last decade, there are datasets with valuable information for researchers, educators and policy makers. Oftentimes in large datasets, it can be difficult to tell what the data represents and this can get more difficult as the datasets grow every year. To help people understand and interpret what is happening in the landscape of computing education research, data visualization can be an important tool. For this study, we used Tableau with CSEdResearch.org's database to show how effective data visualization can be to understand the data. We first used data curated from over 500 articles across 10 publication venues (2012-2018) to analyze the research trends in K-12 computing education in the United states as a sample case. We then expanded the dataset to include 2019 data and created a separate page on the site that presents a portion of this data visually. We then used JavaScript and Tableau "short codes" to provide the capability for users to customize the data represented in the visuals. Data now presented on the site includes a heatmap of the locations of students involved as participants in research studies, the types of research reports provided, and the grade levels, gender, race/ethnicity, and other demographic data. This research provides a glimpse of our techniques and outcomes in working toward the ultimate goal of generating a visual representation of data on the website.
An Efficient Image Denoising Technique for Unprocessed Raw Images using Combine Linear and Non-Linear Filtering

Image denoising is used to improve the accuracy and quality of an image.Removing noise from the original image is still challenging for researchers.In this research, an efficient algorithm capable of removing noise from "unprocessed" or raw images is proposed.The algorithm supplants the noise by the median of averages found from a special combination of the pixels.After that, to evaluate the performance of image authors has calculated the Signal to Noise Ratio (SNR), the Mean Square Error(MSE), Root Mean Square Error (RMSE), the Root Mean Square Signal to Noise Ratio (RMS SNR), Image Fidelity (IFY).Finally, the proposed filtering technique gives a better result with comparison to other existing filtering techniques (Median, Average, Mean, etc).
3D Multi-frequency Fully Correlated Causal Random Field Texture Model

We propose a fast novel multispectral texture model with an analytical solution for both parameter estimation as well as unlimited synthesis. This Gaussian random field type of model combines a principal random field containing measured multispectral pixels with an auxiliary random field resulting from a given function whose argument is the principal field data. The model can serve as a stand-alone texture model or a local model for more complex compound random field or bidirectional texture function models. The model can be beneficial not only for texture synthesis, enlargement, editing, or compression but also for high accuracy texture recognition.
Accountability for parents towards learners’ violence in high schools of the Malamulele Central circuit of South Africa

School violence has globally been identified as a security problem. Violence in schools and its threats are among the significant contributing risk factors in the South African Public education. The study sought to explore and describe accountability for parents on their learners’ violence in schools of the Malamulele Central circuit of South Africa. This paper used qualitative methodology. Nonprobability sampling through purposive sampling were used. The study revealed that there are so many occurrences of school violence reported from different schools where leaners fight with teachers and conflicts arise amongst learners themselves. The likelihood, escalating and alarming frequencies of violence in schools threaten to have adverse effects in the delivery of service by teachers for enhancing teaching and learning. The factors associated with accountability of parents towards learners’ violence such as low parental involvement in learners’ education, parents not visiting schools for monitoring learners’ performance, and parental contribution by fighting and blaming teachers when learners did wrong. The following has been recommended to maximize parental accountability to school violence: involvement of various professionals working directly with communities as an integrated approach towards reducing violence in schools, Social workers can serve as educators on the other hand to inform parents about school violence. The social workers’ functions in schools are to build relationships, conduct assessment, to work with multidisciplinary teams, and helping learners to address the difficulties that lead them to school violence.Keywords: Parental accountability, School violence, High school, Multidisciplinary teams.
A New Approach to Generate Solutions Combining Crossover and Estimation of Distribution Operators for EMO Algorithm

Most of EMO algorithms use crossover operator for generating new solutions. There have been proposed various kinds of crossover in this field and most crossover approaches are good at global optimization but not effective for the problem with strong nonlinearity and dependency.On the other hand, Estimation of Distribution Algorithm (E-DA) is known as an effective approach without using crossover for generating new solutions. EDA use an estimation of distribution operator for generating new solutions and this operator is known as to be effective for the problem with strong nonlinearity and dependency.In this paper, a new approach to generate new solutions combing crossover and estimation of distribution is proposed. The main purpose of this approach is to generate high-quality solutions more effectively by combing each other’s strength. This approach is named as Combined with Estimation of Distribution (MOEA/D-CED) because this approach is incorporated with MOEA/D. Through applying to some benchmark problems in this field, the characteristics and effectiveness of MOEA/D-CED were confirmed by the comparison with original MOEA/D and MO-CMA-ES.
Associative learning method for teaching operation research

Operation Research 2 is a course that teaches quantitative methods such as game theory, dynamic programming, and the Markov Chain. This method is needed in the complex managerial decision-making process. For most university students, this topic is a very new concept. This paper tries to propose associative learning methods in teaching operation research. We use associative tools such as films, games, and other creative media.
IMPLEMENTATION OF AN IMAGE-BASED VISUAL SERVOING SYSTEM ON A PARROT BEBOP 2 UAV

IMPLEMENTATION OF AN IMAGE-BASED VISUAL SERVOING SYSTEM ON A PARROT BEBOP 2 UAV The main objective of this proposed thesis is to design and implement two different systems on a Parrot Bebop 2 UAV. The first system is a Human-UAV interaction (HUI) system to take off, fly and land the UAV by using the camera of the ground station machine to detect and identify the operator’s gesture and send different commands to the drone based on the operator’s gesture. A dataset containing different hands postures have been used to train the detection framework to detect the face and hands of the operator. Then, an algorithm is used to interpret the gestures obtained from the detection results, in which each interpreted gesture is equivalent to a flying command. The second system is an Image-Based Visual Servoing IBVS controlling system for sending commands to the UAV in order to track and follow a detected object, in this case a person, by using the monocular camera of the drone. This requires an algorithm that is able to use the detected object geometry and location in the image plane to send commands to the UAV in order to keep the target within a fixed distance and almost in the centre of its Field of View FoV. To do so, a PID controller have been used to calculate the velocity (horizontal, lateral, vertical and angular) to send to the drone. A dataset containing different pedestrians have been used to train the detection framework. To support the detection framework, a tracking framework have been implemented to identify and assign a unique ID to each detected person. In this way, the drone is able to continuously follow the same person even when in the image plane there are more people detected. The system components used (deep neural network detector, tracker framework, HUI and IBVS) are built as nodes under ROS environment. Both systems are verified to work off-board with a ground station machine with the Parrot Bebop 2 drone. In the chapter 1, a description of the Robot Operating System and of the packages used for this project is given. In chapter 2, an introduction to Object Detection and Deep Learning is given with details about Convolutional Neural Network and YOLO object detection system. In chapter 3, a description of the steps taken to implement the Human-UAV interaction system is given. Furthermore, the reasoning behind the interpretation of the gestures by the developed algorithm to send commands is explained. In chapter 4, an introduction to object tracking and a description of the SORT and deep SORT trackers is given. In chapter 5, a description of the steps taken to implement the IBVS system is given. Furthermore, the reasoning behind the design of the PID controller and of the object follower is explained. In chapter 6, a discussion and analysis about the results obtained from both HUI and IBVS systems is given.