Reviewerly/exHarmony huggingface dataset:
Analisis Faktor Penyebab Kesulitan Belajar MYOB (Mind Your Own Business) Accounting Pada Siswa Kelas Xi Di SMK N 1 Banyudono

The purpose of this study was to find out what factors caused the eleventh grade students of SMK N 1 Banyudono to experience difficulties learning MYOB (Mind Your Own Business) accounting and efforts to overcome learning difficulties MYOB (Mind Your Own Business) accounting. The type of research used in this study is qualitative research with ethnographic research design. The technique of collecting data through interviews, observation and documentation. Data analysis is done by reducing data, presenting data, and drawing conclusions. The results showed that there were factors that caused student learning difficulties including psychological factors in the learning process of students which included intelligence that was still lacking when working on accounting transactions without guidebooks and low self-motivation which was characterized by indifference when still not understanding the subject matter. Student environmental factors, namely the teacher also causes student learning difficulties. The teacher's teaching style is still not optimal in delivering material because it is too fast. The factors of student learning facilities and infrastructure are also the causes of student learning difficulties which include tools / media, teaching materials and learning facilities that are considered to be not optimal. Student learning habits factors with SKS (Overnight Speed System) are also the cause of student learning difficulties. The teacher's efforts in overcoming learning difficulties are by implementing remedial programs, giving assignments and guidance services.
Creating Troubleshooting Guides

How do you go about creating paperwork that can help you manage your workflow, both individually and across teams providing IT support? Throughout this book I’ve detailed the importance of being methodical, defining a clear set of procedures that enable you to achieve your stated aims and goals without fuss, and documenting everything along the way.
Data complexity measures in feature selection

Feature selection (FS) is a pre-processing step often mandatory in data analysis by Machine Learning techniques. Its objective is to reduce data dimensionality by identifying and maintaining only the relevant features from a dataset. In this work we evaluate the use of complexity measures of classification problems in FS. These descriptors allow estimating the intrinsic difficulty of a classification problem by regarding on characteristics of the dataset available for learning. We propose a combined univariate-multivariate FS technique which employs two complexity measures: Fisher’s maximum discriminant ratio and sum of intra-extra class distances. The results reveal that the complexity measures are indeed suitable for estimating feature importance in classification datasets. Large reductions in the numbers of features were obtained, while preserving, in general, the predictive accuracy of two strong classification techniques: Support Vector Machines and Random Forests.
Doc2RDFa: Semantic Annotation for Web Documents

Ever since its conception, the amount of data published on the worldwideweb has been rapidly growing to the point where it has become an importantsource of both general and domain specific information. However, the majorityof documents published online are not machine readable by default. Many researchersbelieve that the answer to this problem is to semantically annotate thesedocuments, and thereby contribute to the linked Web of Data. Yet, the processof annotating web documents remains an open challenge. While some efforts towardssimplifying this process have been made in the recent years, there is still alack of semantic content creation tools that integrate well with information workertoolsets. Towards this end, we introduce Doc2RDFa, an HTML rich text processorwith the ability to automatically and manually annotate domain-specific Content.
A rational model of word skipping in reading: ideal integration of visual and linguistic information.

Readers intentionally do not fixate some words, thought to be those they have already identified. In a rational model of reading, these word skipping decisions should be complex functions of the particular word, linguistic context, and visual information available. In contrast, heuristic models of reading only predict additive effects of word and context features. Here we test these predictions by implementing a rational model with Bayesian inference and predicting human skipping with the entropy of this model's posterior distribution. Results showed a significant effect of the entropy in predicting skipping above a strong baseline model including word and context features. This pattern held for entropy measures from rational models with a frequency prior but not from models with a 5-gram prior. These results suggest complex interactions between visual input and linguistic knowledge as predicted by the rational model of reading, and a dominant role of frequency in making skipping decisions.
Minimizing SLA Violation and Power Consumption in Cloud Data Centers Using Host State 3-Order Markov Chain Model

Virtual Machine (VM) consolidation provides a promising approach to save energy and improve resource utilization in cloud data centers. However, aggressive consolidation of VMs may lead to performance degradation of data centers and even Service Level Agreement (SLA) violation. Therefore, it is very important to solve the tradeoff between reduction of SLA violation level and energy costs. In this paper, we propose a Host State 3-order Markov Chain prediction model for SLA-aware and energy efficient consolidation of VMs in cloud data centers. We propose two adaptive utilization thresholds based on a robust statistical method for host state estimate, and our model uses them to build a 3-order Markov Chain Transition Matrix manually for host state detection. We implement our algorithms on Cloudsim simulator for comparative study. The experimental results show that our model can significantly reduce SLA violation rates while keeping energy cost efficient, it can reduce the metric of SLA Violation by at most 98.69% and the metric of Energy by at most 21.88% for real world workload.
Phase-based Stereo Matching for High-accuracy Three-dimensional Optical Sensing

This paper introduces a stereo matching algorithm based on phase domain. Two absolute phase maps generated by fringe patterns help to find corresponding pairs for 3D reconstruction fast and accurately.
Multilevel Topic Dependency Models for Assessment Design and Delivery: A Hypergraph Based Approach

The effective design and delivery of assessments in a wide variety of evolving educational environments remains a challenging problem.Proposals have included the use of learning dashboards, peer learning environments, and grading support systems; these embrace visualisations to summarise and communicate results.In an on-going project, the investigation of graph based visualisation models for assessment design and delivery has yielded promising results.Here, an alternative graph foundation, a two-weighted hypergraph, is considered to represent assessment results and their explicit mapping to one or more learning objective topics.The visualisation approach considers the hypergraph as a collection of levels; the content of these levels can be customized (i.e., filtered) and presented according to user preferences.A case study on generating hypergraph models using commonly available assessment data and a flexible visualisation approach using historical data from an introductory programming course is presented.
SISTEM PREDIKSI PRODUKSI PADI DI PROVINSI JAWA TIMUR MENGGUNAKAN EXPONENTIAL SMOOTHING BERBASIS WEB

Most of the population of East Java Province works in the agriculture sector. One of the main agriculturalproducts produced in East Java is rice. Nearly 39.29% of the population of East Java who live in regenciesor cities depend on rice as their main livelihood. Rice is a strategic commodity because it is needed as themain source of calories. So that availability is always met, careful planning is needed. One way to controlrice production is by forecasting. In this article, forecasting of production in East Java Province is carriedout using the Exponential Smoothing method implemented on a website. Exponential Smoothing Method isone of the forecasting methods that utilizes time series data that provides exponential weighting of pastdata. Errors in forecasting are calculated using MAD, MSE, and MAPE. The data used are rice productionfrom 29 regencies and 6 cities in East Java in 2007 - 2017. The system created gives good results. Forexample for Jombang Regency, in 2018 it is predicted to produce 442,618 tons of rice with forecast errorsfor MAD, MSE, and MAPE of 44.39 each; 18.29; and 16.68%.Keywords: Exponential Smoothing, Rice, MAD, MSE, MAPE
Evaluation of Web Application Session Security

Sessions variables are widely used in web applications, almost in every web application. It has been used to keep the state of logged in or authenticated users mainly, and to monitor the number of users currently using the web application. It has other useful usage as a security feature to logout the user automatically from the web application after the session timer expires. Due to the criticality of the information the sessions holds, it is important to evaluate its security. In this paper, some types of attacks on the sessions will be listed, different ways of storing sessions on the client, and the best utilization of the sessions. The outcome of this paper is whether to recommend using session variables or not, when to be used, and for what purpose it should or shouldn't be used.
고등학교 영어 교과서에 나타난 구동사의 불변화사 UP/OUT 의미 분석

The purpose of this study is to examine the meaning of phrasal verbs UP/OUT from high school English textbooks based on Park(2012), which suggested...
Food Image 3D Reconstruction Using Image Processing

In this era of technology there are many systems which majorly depend on multi-view techniques. Many of these system are use in entertainment purpose, gaming system, mechanical designing, civil applications, medical applications, food volume estimation purpose. A novel system has been proposed to recognize food using deep learning as well as volumetric 3D construction from where we can get area covered under actual food image. This proposed system would able to represent possible simple techniques for food images 3D reconstruction. These results can be mainly achieved volumetric estimation purpose. Present system is mainly divided into two parts of 3D modeling as: a] 3D volumetric reconstruction b] measurement calibration.
Expert system to predict the numbers of livestock in Thi-Qar province

Predict the numbers of livestock is one of interesting research area cause the important of livestock in each countries economics, in this paper we design an expert system for predict the numbers of livestock (Sheep, Goat, Cow, Buffalo and Camel) in Thi-Qar province, and we collect the knowledge from (Directorate of meteorological in Nasiriyah, the Veterinary Hospital in Nasiriyah and Directorate of Agriculture in the province of Thi-Qar) and collect the last 5 years to compare the result from our system with actual results by compare year by year in actual world by the same years in our system , There are 10 knowledge which build rules , There are differences numbers of rule for each livestock kinds, there are 813 fuzzy rules for sheep, 558 fuzzy rules for goat, 435 fuzzy rules for cow, 425 fuzzy rules for buffalo and 537 fuzzy rules for camel.There is commands knowledge and there is specified knowledge for each livestock (Sheep, Goat, Cow, Buffalo and Camel), there rules build by using Mamdani fuzzy logic and we use SQL server 2008 to insert these fuzzy rules.The results which we obtained from our fuzzy expert system was gave high accuracy and perfect result.
Bahasa Jepang Sebagai Bahasa Asing -Pemahaman Pembelajar Terhadap Kala-

In Indonesian to express time in the past, present, and future only indicated by time adverbs, and no conjugation in the verb. The first-year Japanese language education learners in the Ganesha University of Education, when they began to understand tenses in Japanese, it was seen that the concept of tenses in Indonesian was interference. The not only verb conjugation in Japanese is an obstacle, but the understanding of concepts Japanese tenses has also become a problem for learners. This paper will explain to the understanding of first-year Japanese language learners when applied Japanese tenses. This research is experimental research, where learners will be given two sentences, and asked to explain the differences. If the learner understands the concept of the Japanese tenses, the learner will find the difference from the time of the event in the sentence. There were 22 learners first-year Japanese language learners who were the subjects of the research. The results obtained are the first-year Japanese language learners of the Ganesha University of Education, most of whom have not shown a good understanding of the use of Japanese tenses, this is indicated by the number of learners who are right in explaining that there are four people from 22 learners.
A user interface for walking on VR space by swinging arms and its evaluation

In the VR content, one of the main reasons for damaging immersive experience is VR sickness. It is well known that exercising user’s arms or legs is effective to control symptoms of VR sickness. In this paper, we propose a new method that wraps the sensor around the wrists and allows natural arm swinging. We also evaluate how to swing users’ arms and walk around virtual space from its walking speed, routes and different types of sensors.
Visualisierung mit FHEM

No AccessSmart Home mit FHEMOct 2019Visualisierung mit FHEMPeter A. HenningPeter A. HenningSearch for more papers by this authorhttps://doi.org/10.3139/9783446460980.008SectionsAboutPDF ToolsAdd to FavoritesDownload CitationTrack CitationsCopy LTI LinkPDF key 'share (en)' returned an object instead of string.FacebookTwitterEmailLinkedIn previous chapternext chapter FiguresReferencesRelatedDetails 2019Pages: 191-218Print ISBN: 978-3-446-45873-4eISBN: 978-3-446-46098-0 Copyright & Permissions© 2019 Carl Hanser Verlag GmbH & Co. KGPDF downloadLoading ...
INVESTIGATING THE IMPACT OF HR STRATEGIES ON EMPLOYEES’ PERFORMANCE: A STUDY OF SELECTED INSURANCE COMPANIES OF JORDAN

Abstract: HR strategies develop new skills, knowledge and attitudes of the people in the organization and are extremely significant in achieving organizational excellence. The present empirical research has been conducted to examine the impact of HR strategies on the performance of employees in selected insurance companies of Jordan. Primary data has been collected with the help of questionnaires. The data collection period has been three months from August, 2018 to October, 2018. The sample size of the study has been 362 employees. Eight proxy variables of HR strategies have been used as independent variables whereas employee’s performance has been used as dependent variable. Multiple regression has been used as the statistical tool for analysis. The findings highlighted that there is a significant impact of HR strategies on the performance of employees in the companies under study.
THE NEED TO KEEP BOOKS, ARCHIVES AND RARE DOCUMENTS "ALIVE"

Archives and libraries around the world are threatened by the huge problem of downgrading and destroying their collections. The causes of the problem are many and interconnected: endogenous chemical instability of the materials in the collections, inappropriate environmental conditions, incorrect storage and handling practices, natural disasters, theft, vandalism, but also ignorance and / or indifference of people in charge, low level of people involved. The great importance of preserving the information contained in these collections is obvious, as this is the raw material from which historians and other researchers will derive the primary material needed for their research. The main way in which this information is retained is to preserve as much of its substrate as possible, namely the paper, the parchment and the other media on which it is imprinted. The country's libraries have a large number of books and various other materials. The part of their material that is unique and of historical value must be preserved for the same reason as for the archival material. As for the rest of their material, although each individual book may not have significant artistic, financial, symbolic, historical, or emotional value, all of the material is an investment of very high-value for the libraries that must be protected, mainly through good storage.
Pengembangan Instrumen Evaluasi Pembelajaran Menggunakan Aplikasi Kahoot Pada Mata Pelajaran Akuntansi Di SMA PGRI Wirosari

Research aims to understand evaluation use application development instrument learning kahoot! and how response students evaluation instruments to developed. Model of used is research methodology and development ( research and development / r & amp d ). Subject trial learning instrument products evaluation use application kahoot!Students XI class this SMA PGRI Wirosari on the subjects of accounting. Data analysis technique in research using a technique descriptive this quantitative evaluation and analysis development instrument use kahoot!. obtained the accounting captured learning using the validity, the reabilitas, the and the hardship of different level. From the results of the analysis paper work showing that matter of validating among the people of the the media get the percentage 89,9 % on a basis of the very reasonable. The results of the matter of validating the people of the matter get the percentage 94 % on a basis of the very reasonable. Validity of the results of the tryouts all questions be run as soon as valid, reabilitas that it is obtainable 0,921 and response school tuition against the assessment of an instrument evalausi use application kahoot! documents have been obtained the rata-rata the percentage 86 % on a basis of the people submitting really interesting content. Concluded that absence of evaluation carried out by the both this application is reasonable enough shaped according to the online test in terms of trends that have been developed very reasonable as absence of evaluation better used out of school in droves of accounting.
Correction to: Volcanic Plumes Detection from GNSS SNR

In the original version of the book, the following belated corrections are to be incorporated.
Intelligent Forecasting Model for Hydrological and Water Resources System

Based on the traditional Bayesian probability theory, the BP neural network with strong non-linear effect is introduced to improve the river flood forecasting in this paper. Considering the uncertainty of hydrological forecasting, this paper combines Bayesian method with BP neural network to study the BP neural network model of the prior distribution and likelihood function of river flood forecasting discharge, to forecast river flood more scientifically. Then, Markov chain Monte simulation method based on adaptive sampling algorithm is used to solve the posterior density of river flood forecasting discharge. Finally, the purpose of probability prediction is achieved by experimental analysis, which also provides a strong basis for hydrological forecast and management decision-making.
Optimization Of Waste Collection Levy To Improve District PAD Lumajang

The purpose of this study is the purpose of this study was to Determine the receipt of waste levies in Lumajang against local revenue in 2014-2018. Waste Retribution is one of the receipts of the Regional Original Income (PAD) is a Considerable potential roomates in Lumajang Regency. So that Waste Retribution is optimal with the realization to help Regional Original Revenue for regional development. The amount of realization is based on the number of realization of Waste Retribution, Regional Retribution and Regional Original Revenue in Lumajang Regency, so it is expected that the receipt of Waste Retribution increases every year in Lumajang Regency. Optimization of Collection of Waste Levies on Regional Retribution in Lumajang Regency in 2014-2018 Also tends to fluctuate every year where the average Realization of Waste to Regional Retribution Retribution in Lumajang Kabuoaten is 10%. Furthermore in research Optimization of Collection of Waste Retribution to Regional Original Revenue in Lumajang Regency for 5 years has experienced a fairly good year. So that the average realization tends to rise the which is equal to (0.0123%.)
Penerapan Data Mining Untuk Pengelompokan Bibit Sawit Yang Baik Menggunakan Metode Clustering Dengan Technic Single Linkage

Seeds are products that are produced from the procurement of plant materials that can affect the achievement of production. Through this nursery stage it is expected to produce good and quality seeds. In order to achieve crop production potential, palm oil seedling management is recommended to implement a planting grouping system in the field. This grouping is intended to guarantee uniformity of plant growth. It is difficult to select the palm seed grouping strategy in helping related people to take accurate steps for the next period. facilitate the implementation of culture. Data mining is mining or discovering new information by looking for certain patterns or rules from a number of raw data, which are expected to overcome these conditions. The data mining Clustering technique used in this study is a single linkage technique. Where data in clusters is formed based on the rules of this method. Based on the trials of the system that has been made it can be concluded that the use of clustering models for palm oil seedlings can produce clustering cluster values in 2.3 and 4 quantification of the set of criteria. From the results of the study it can be concluded that the application of single linkage techniques can be used to increase crop yields. Because the data on palm oil seedlings have been separated according to the type of each seed.