Reviewerly/exHarmony huggingface dataset:
Analyzing the Efficiency of Horizontal Photovoltaic Cells in Various Climate Regions

This research presents the development of linear regression models to predict horizontal photovoltaic power output.We collected a dataset from 14 global Department of Defense (DoD) installations over a timeframe of one year using an experimental apparatus, resulting in 24,179 usable data points.We developed a linear model to predict power output, which incorporated site-specific weather and geographical characteristics, along with Köppen-Geiger climate classifications in order to determine the effect of adding climate to the model.After performing a Wald test between the full model and a reduced model without Köppen-Geiger climate variables, it was determined that including Köppen-Geiger climate variables improved the model's ability to account for horizontal photovoltaic power variation by 3%.Although adding Köppen-Geiger variables provided added value when modeling the training dataset, these variables were less effective in predicting the validation dataset.From the analysis, the ideal Köppen-Geiger region was determined to be a warm temperate main classification, a fully humid precipitation classification and a warm summer temperature classification.This region possessed a 30% greater average power production than the mean value of the base climate classification.We found that the cost-effectiveness of a photovoltaic array depends on Köppen-Geiger climate regions, in addition to weather characteristics and the orientation of the array.
Optimization of Security and Privacy- Preserving Data Using an IoT CLEFIA Based Security LFSR

Over the recent years, several smart applications like RFID's, sensor networks, including industrial systems, critical infrastructures, private and public spaces as well as portable and wearable applications in which highly constrained devices are interconnected, typically communicating wirelessly with one another, working in concert to accomplish some task. Advanced safety and security mechanisms can be very important in all of these areas. Lightweight cryptography enables secure and efficient communication between networked smart objects. The CLEFIA algorithm is a suitable lightweight cryptographic algorithm used in medium security systems. In order to increase safety and security mechanisms, modify CLEFIA are proposed which uses the Linear Feedback Shift Register (LFSR) to overcome the security weakness of the CLEFIA algorithm against attacks. In this paper an implementation of modify CLEFIA algorithm using C++ programming language. We have also compared the results with the standard CLEFIA.
Data Mining Workspace Sensors

While social sciences and humanities are increasingly including computational methods in their research, anthropology seems to be lagging behind. But it does not have to be so. Anthropology is able to merge quantitative and qualitative methods successfully, especially when traversing between the two. In the following contribution, we propose a new methodological approach and describe how to engage quantitative methods and data analysis to support ethnographic research. We showcase this methodology with the analysis of sensor data from a University of Ljubljana’s faculty building, where we observed human practices and behaviours of employees during working hours and analysed how they interact with the building and their environment. We applied the proposed circular mixed methods approach that combines data analysis (quantitative approach) with ethnography (qualitative approach) on an example of a “smart building” and empirically identified the main benefits of the new anthropological methodology.
Animasi Berbasis Multimedia Untuk Siswa Berupa Pengenalan Moda Transportasi Dengan Metode Waterfall

Learning media support for elementary school students has many variations of delivery techniques, both in the form of audio and video media.One of the delivery media for student learning is multimedia-based which is the application design in this study.The ability to recognize various kinds of mass transportation tools for elementary school level needs to be developed so that students are able to easily know the kinds of mass transportation equipment, this is the goal in this study, namely designing a multimedia application introduction of mass transportation equipment.By using observation and literature study data collection techniques, the object in this study was Cipondoh 9 Public Elementary School in Tangerang, where students were used as the main reference in supporting the design of this application.The design of multimedia application of this research using waterfall model in application development.While for the application testing phase, researchers used black box testing testing techniques.So based on this thought, in this final report was made a multimedia-based mass transportation learning application created with Adobe Flash CS3 software, Database, which is expected with this application can help the teaching and learning process in schools.
DEVELOPING COMIC-BASED STUDENT WORKSHEETS ON POSTER AND SLOGAN WRITING MATERIALS

This study was aimed at producing a valid, practical, and effective comic-based student worksheet for writing slogans and posters on Indonesian language learning. The development research was designed using a 4D model (define, design, develop, disseminate) and limited to the third stage. The subject of the study included experts in content validation, teachers in the practicality test and class VIII students as a trial of product use. The instruments used in data collection in this study were validation questionnaires, observation sheets, and performance tests. The data in the form of questionnaire validation, practicality, activity, and student learning outcomes then were processed quantitatively. The worksheet consists of 8 themes. The results show that the developed comic-based Indonesian worksheet for the material of writing slogans and posters is vaild, practical and effective to facilitate the development of activities and student learning achievement. This worksheet is able to be used as teaching materials to improve the quality of the process and results of learning Indonesian.PENGEMBANGAN LEMBAR KERJA SISWA BERBASIS KOMIK PADA MATERI MENULIS POSTER DAN SLOGAN Tujuan penelitian ini adalah untuk menghasilkan Lembar Kerja Siswa (LKS) berbasis komik yang valid, praktis, dan efektif untuk materi menulis slogan dan poster pada pembelajaran Bahasa Indonesia. Penelitian pengembangan didesain dengan menggunakan model 4D (define, design, develop, disseminate) dan dibatasi sampai pada tahap ketiga. Subjek penelitian mencakup ahli dalam validasi konten, guru dalam uji praktikabilitas dan siswa kelas VIII sebagai uji coba penggunaan produk. Instrumen yang digunakan dalam pengumpulan data dalam penelitian ini adalah angket validasi, lembar observasi, dan tes unjuk kerja. Data penelitian berupa skor angket validasi, praktikalitas, aktivitas, dan hasil belajar siswa dan diolah secara kuantitatif. LKS yang dihasilkan terdiri dari 8 tema Berdasarkan analisis data dapat disimpulkan bahwa LKS bahasa Indonesia berbasis komik untuk materi manulis slogan dan poster yang dikembangkan sangat valid sangat praktis dan sangat efektif untuk memfasilitasi pengembangan aktivtas dan prestasi belajar siswa. LKS yang dihasilkan dapat digunakan sebagai bahan ajar untuk meningkatkan kualitas proses dan hasil pembelajaran bahasa Indonesia.
ELECTRONIC PORTFOLIO AS THE TOOL OF SELF-PRESENTATION OF THE RESULTS OF PEDAGOGICAL ACTIVITY

In the article, the sutnom is assigned to the portfolio method of the profes-sionals prepared by Maybutnichs, the analysis has been analyzed that have been shown by the pedagogical portfolios and the butt of the electronic portfolio of the participant-certifikatsi.In the process of graduation, it is installed, just the middle of factors, which will be determined by the professionalism of may-be teachers, psychological and pedagogical, methodological and technological training, up to the creative development of the professional kind of pedagogical and methodical training, to the creative development of the kind of pedagogical and methodological training, to the creative development of the kind of pedagogical and technological training, to the creative development of the kind of pedagogical and technological training, to the creative development of the pedagogical work, to the creative workforce, to the creative development of the pedagogical work, to the creative workforce to the creative development In 2019, there is a pilot project for certification of teachers of the school, one of them is for the project of transferring the electronic portfolio to the electronic portfolio of students, who have a chance to learn about the high-level training of students and students and students.It's up to the robotics to build such a portfolio and gotowati maybut vychitelv vzhe zraz at the beginning of the process at the beginning of a pedagogical foundation.In the process of completion, the structure of the portfolio has been clarified and the following criteria have been determined: romance of the mission, the formation of the mind of the virishuvati zavdannya; the formation of applied intelligence, the development of communal intelligence, the formation of self-control and self-interest.Usagalno, sozm_st understand the E-portfolio of data sheets as a link to the electronic portfolio with the convenience of web services.From the many characteristics of the characteristics, the main ones: at the beginning of the E-portfolio -the core of the show everything, for the sake of the most important days, you can demonstrate your best side, as much as possible, the creative potential; E-portfolio of permits for the mayor of the rosivati nachichki analizu dіyalnost, self-organization, self-control, samotsіnki, self-criticism, as well as the reflection reflexi ovittnoi dіyalnost; the trunk of the E-portfolio of the Mayor Vtchitel before the self-discovery and the dynamism of his results.It has been established, so that it is possible to certify people, an electronic portfolio of the city in the following warehouse: a fragment of a lesson, a description of the program, self-analysis of the lesson.We have designed the toolkit for the online distribution of the electronic portfolio at the Internet.Know your portfolio butt at https://portfolioelizaveta.pb.online.
Disaster Recovery in Business Continuity Management

Cloud computing is internet based computing technique where in systems are interconnected with sharing resources through every different.At present, every organization generates in huge volume of data in digital format that required the secure storage services.Data backup and Disaster Recovery / Business Continuity issues are becoming fundamental in networks since the importance and social value of digital data is continuously increasing.Organization requires a Business Continuity Plan (BCP) or Disaster Recovery Plan (DRP) and data backup which falls within the cost constraints while achieving the target recovery requirements in terms of recovery time objective (RTO) and recovery point objective (RPO).Site recovery contributes to your business continuity and disaster recovery (BCDR) strategy, by orchestrating and automating replication of azure VMs between regions, on-premises Virtual Machines and physical servers to azure, and on-premises machines to a secondary datacenter.The proposed system provides an extensive disaster recovery management using Microsoft Azure Recovery Vault Service.A back up is process on daily basis.Which helps to Small And Medium-Sized Enterprises (SMEs) to cut down their costs on expensive IT infrastructure and reduce the burden on IT environment.
The Diffusion of News Applying Sentiment Analysis and Impact on Human Behavior Through Social Media

The Web is the largest source of information today, a group of these data is the news that is disseminated using Social Networks which are information that needs to be processed in order to know what is its main use in a way that contributes to understanding the impact of these media in the dissemination of news. To solve this problem, we propose the use of data mining techniques such as the Sentiment Analysis to validate the information that comes from social media. The objective of this research is to make a proposal of a method of Systematic Mapping that allows determining the state of the art related to the investigations of the diffusion of news applying Sentiment Analysis and impact on human behavior through Social Media. This initial research presented as a case study a time range until 2017 in research related to the news that uses Data mining techniques like to sentiment analysis for social media in major search engines.
ANALYSIS PRAGMATIC STUDY ON DEIXIS IN THE ARTICLES JAKARTA SPORT

The purpose of this research is to identify deixis forms and meanings used in Jakarta post articles. This study was applied qualitative descriptive. Then, it was analyzed by using the Dylgjeri and Kazazi concept the data was table from in article Jakarta Post. The findings indicate that the types of deixis found in articles selected from the Jakarta Post are the first person there are I, Me, My, We, and Our (In third person there are She, Her, His, Him, and They), deixis spatial (there are school, class, hospital, on the stairs, world, here and there.), and temporal deixis. (there are now, then, five month ago, today, and yesterday). The results of this study show that person deixis is used 157 times and have percentage 66.5% spatial deixis is used 54times and have percentage 22.8% and temporal deixis is used 25times and have percentage 10,5% Keywords: Pragmatic, Deixis
An Infection Graph Model for Reasoning of Multiple Faults in Software

Most of existing studies on software fault diagnosis, no matter spectrum-based or model-based, are applied and evaluated in a single-fault and multi-fault context. Their diagnosis accuracy is mainly affected by similar coverage information, fault masking, and fault propagation. To accommodate these disadvantages, we incorporate probabilistic reasoning into model-based diagnosis to figure out the root cause of failures by computing and ranking diagnosis candidates. In doing so, the program is first modeled as an Infection Graph (IG) obtained by analyzing both dynamic control flow dependences between basic blocks and the relevant data dependences among these basic blocks. On the IG model, a logical reasoning algorithm is introduced to deduce the diagnosis candidates, and the probabilistic reasoning is finally used to distinguish the most suspicious diagnosis candidates. When comparing accuracy and time efficacy, the experimental results indicate that our approach is better than Tarantula, Ochiai and BARINEL in both single-fault and multiple-fault context, even the program size changes.
Do We Need Many-valued Logics for Incomplete Information?

One of the most common scenarios of handling incomplete information occurs in relational databases. They describe incomplete knowledge with three truth values, using Kleene's logic for propositional formulae and a rather peculiar extension to predicate calculus. This design by a committee from several decades ago is now part of the standard adopted by vendors of database management systems. But is it really the right way to handle incompleteness in propositional and predicate logics? Our goal is to answer this question. Using an epistemic approach, we first characterize possible levels of partial knowledge about propositions, which leads to six truth values. We impose rationality conditions on the semantics of the connectives of the propositional logic, and prove that Kleene's logic is the maximal sublogic to which the standard optimization rules apply, thereby justifying this design choice. For extensions to predicate logic, however, we show that the additional truth values are not necessary: every many-valued extension of first-order logic over databases with incomplete information represented by null values is no more powerful than the usual two-valued logic with the standard Boolean interpretation of the connectives. We use this observation to analyze the logic underlying SQL query evaluation, and conclude that the many-valued extension for handling incompleteness does not add any expressiveness to it.
A modified genetic algorithm with a new crossover mating scheme

This study introduced the Inversed Bi-segmented Average Crossover (IBAX), a novel crossover operator that enhanced the offspring generation of the genetic algorithm (GA) for variable minimization and numerical optimization problems. An attempt to come up with a new mating scheme in generating new offspring under the crossover function through the novel IBAX operator has paved the way to a more efficient and optimized solution for variable minimization particularly on premature convergence problem using GA. A total of 597 records of student-respondents in the evaluation of the faculty instructional performance, represented by 30 variables, from the four State Universities and Colleges (SUC) in Caraga Region, Philippines were used as the dataset. The simulation results showed that the proposed modification on the Average Crossover (AX) of the genetic algorithm outperformed the genetic algorithm with the original AX operator. The GA with IBAX operator combined with rank-based selection function has removed 20 or 66.66% of the variables while 13 or 43.33% of the variables were removed when GA with AX operator and roulette wheel selection function was used.
THE STUDENTS AND TEACHER’S VIEWS ON THE USE OF E-TEXTBOOKS IN READING CLASSROOM

Since the development of information technology grows rapidly, the educational institutions are offered various media or tools of instruction supporting and enhancing teaching and learning process. E-textbooks are a variety of technology which changes the experience of classroom language from traditional into paperless in reading classroom. This technology facilitates the teacher and the students to utilize computer and paper-based reading tasks in realizing the functions of the e-learning environment. It creates an atmosphere of independent acquisition and quality pedagogical strategies which can improve the efficiency of teaching and learning. The use of electronic textbook completed by hypertext and multimedia tools clearly demonstrated the advantage of this technology compared with traditional textbooks. This research is about the teacher and students’ views on using e-textbooks for reading in EFL classroom. This research aims to identify, describe, and analyze teacher and students’ perceptions on using e-textbooks technology as the paper textbooks in teaching and learning reading for Indonesian lower secondary school. Mix method of qualitative and quantitative was applied in the research. The research was conducted on an English teacher and the twenty-five eighth-grade students who used e-textbooks in reading classroom of Islamic junior high school in Lampung, Indonesian. The techniques of data collection used were interviews, questionnaires, observation, and documentation. The results showed that the teacher and majority of the students had a good perception of using e-textbooks. Considering insufficiently available textbooks provided by the government which do not meet students’ need and interest, the teacher should find out and develop many other resources for teaching and learning in the classroom. However, e-textbook technology will not displace traditional paper textbooks in the future, but they will become the perfect complement to paper textbooks.
Concentration of Heavy Metals in Soil around Dumpsites in Jimeta and Ngurore, Adamawa State, Nigeria

Rapid urbanization and industrialization in developing countries have been associated with production and deposition of hazardous wastes in the soil environments. Heavy metals are major components of these wastes and have been implicated in several metal-related diseases and food poisoning in man. This study examined the concentration of Iron (Fe), Lead (Pb), Copper (Cu), Chromium (Cr), and Cadmium (Cd) heavy metals in soil near dumpsites of Jimeta and Ngurore, Yola North Local Government Areas (LGAs), Adamawa State. Soil samples from 0-20cm layer depth were collected in triplicates and analyzed using atomic absorption spectrophotometer (AAS). Results reveal that Fe, Pb, Cu and Chromium were detected, while Cadmium was found to be below the limit of detection. The mean concentration of the exchangeable cation in mg/kg in soil at Jimeta sites were: Fe (31.4 mg/kg) &gt;Pb (0.92 mg/kg) &gt; Cu (0.34 mg/kg) &gt; Cr (0.11 mg/kg) &gt;Cd (below limit of detection), while the mean concentration of the heavy metals in soil at Ngurore sites were: Fe (32 mg/kg) &gt;Pb (0.83 mg/kg) &gt; Cu (0.28 mg/kg) &gt; Cr (0.07 mg/kg) &gt;Cd (below limit of detection), respectively. Iron (Fe) was the most abundant element in both sites, followed by Pb. Heavy metal concentrations in soil followed the order of Fe&gt;Pb&gt;Cu&gt;Cr&gt;Cd, respectively. The paired T-test analyses for concentration of Cr, Fe, and Pb in soil nearthe two dumpsites show that there were statistically significant differences in the concentration levels of Cr, Fe, and Pb, while Cu showed no statistically significant difference between the two dumpsites. However, all the metals detected were below the permissible limit of WHO international standard with the exception of Pb whose concentration was above maximum permissible concentration (MPC). Persistent heavy metals accumulation in soils near these dumpsites may lead to increase uptake by vegetables grown near the dumpsites and this may pose a threat to its quality and safety and ultimately human health. The need to replace open dumpsites with well-designed landfills is advised.
An Efficient Virtual Memory using Graceful Code

Memory is hardware that is used by computer to load the operating system and run programs.It is buildup of RAM chip that has different memory modules.The amount of main memory in a computer is limited to the amount of RAM that has installed.Generally memory sizes are 256 MB, 512 MB, & 1 GB, because of computer has limited amount of RAM.When too many programs are simultaneously it is possible to run a program out of memory.This is the concept where virtual memory comes.Virtual memory enhance the available memory of a computer has by enlarging the address space or place in memory where data can be stored.Hard disk is used for additional memory allocation .However, since secondary storage is much slower than the RAM, program which is in Virtual Memory must be mapped back to virtual memory in order to be used.The process of mapping data and forth between the hard disc and RAM takes longer than accessing it directly from the memory.It means virtual memory is increased, the more it will slow your computer down.While virtual memory enables your computer to run more than one program it could, otherwise it is the best way to having as main memory as possible.
IMPROVING GRAMMAR SKILL USING EGRA TECHNIQUE FOR THE STUDENTS’ EIGHTH GRADE AT SMPN 5 CIMAHI

Grammar is one part to improve four skills that we also known. To enhance grammar skill we have to prefer the accurately method as a way in studying grammar. The researcher was chosen Exposure, Generalization, Reinforcement, and Application (EGRA) technique as a method to teaching English grammar to students’ eigtht grade at SMPN 5 Cimahi. It was arranged with using pre-experimental method, peculiarly one-group pre-test post-test design. The technique showed that can develop grammar skill students’. The average score of the test result is 40,83 for the pre-test and 71,70 for the post-test. From the result, it can determine that EGRA technique can improve grammar skill students’. Besides that, EGRA technique can build a good team work in the classroom.