Reviewerly/exHarmony huggingface dataset:
Comparison between SDLC and OSSLC Model

Abstract Software development consists of different life cycles. SDLC also known as software development life cycle and Open source software life cycle also known as the OSSLC are some of the software development life cycles. Each life cycle consists of different phases to develop the software. Here in this work, we have compared the different life cycle and their phases. The SDLC discussed in various texts and research papers in detail. But in case of Open Source Software (OSS), the life cycle for the development is not being discussed in much detail as there is no standardized life cycle approach exists for Open Source Software (OSS) development. Keywords: OSSLC, SDLC Cite this Article Md Kafilur Rahman, Pradeep Yadav. Comparison between SDLC and OSSLC Model. Current Trends in Information Technology. 2019; 9(1): 1–3p.
UPAYA MENINGKATKAN HASIL BELAJAR MEMBACA PEMAHAMAN BAHASA INGGRIS TEXT REPORT MELALUI METODE COOPERATIVE LEARNING TIPE TALKING STICK

This research was conducted based on learning outcomes of English of students class IX are always bad. Every time,they always seem boring and unable to answer the question, so the classroom becomes noisy. This study aims to: (1) find theproblem and find a solution so that the learning process fun and not boring for students, (2) improving the learning outcomes ofstudents of class IX 1 in English Learning aspect reading comprehension. This research was conducted at the Junior High School 43 palembang in October 2011 until Januari 2012. This study used action research method in 2 cycles and each cycle consisted of 3meetings. The instrument used in this method was:  a written test to determine the ability of reading comprehension,observation sheets, field notes. The results of this study showed that in the fisrt cycle the average percentage of students who have completed 84,21%, the second cycles of the average percentage of students who have completed 97,38%.This was in accordance with pre-determined indicators of success namely the success percentage of average of at least 75%. The conclution of this research that the ability of reading comprehension using Cooperative Learning Method Talking Stick Type in class IX 1 SMP Negeri 43 Palembang. can improve student’s ability in reading comprehension.
Professional Development of Computer Studies Teachers for Effective Implementation of Computer Education Curriculum in Secondary Schools

The study determined professional development of Computer Studies teachers for effective implementation of Computer Education curriculum in secondary schools in Enugu Education Zone, Enugu State.Three research questions guided the study.Descriptive survey research design was adopted.The population for the study was 182 Computer Studies teachers.There was no sampling as the population size was manageable.The research instrument was a structured questionnaire titled "Strategies for Enhancing Professional Development of Computer Studies Teachers' Questionnaire (SEPDCSTQ)".Three experts validated the instrument and an overall reliability correlation co-efficient of 0.94 was obtained using Cronbach's Alpha.Mean ratings and standard deviation were used to answer the research questions.The study revealed that educational supervision, mentoring services and in-service training enhances the professional development of Computer Studies teachers for effective implementation of Computer Education curriculum in secondary schools in Enugu Education Zone, Enugu State to a high extent.The study concludes that educational supervision, mentoring services and inservice training are strategies for enhancing the professional development of Computer Studies teachers.The study recommended that in-service training via workshops, seminars and so on should be regularly organized for teachers of Computer Studies so as to enhance their professional development for effective implementation of Computer Education curriculum in secondary schools and to help them develop experiences in the teaching field.
Система аспирантуры в Великобритании на примере университета им. Брюнела

The past decade has seen a number of fundamental changes that have affected the Russian higher education and doctoral education in particular. Currently, there is a large number of problems related to the content and structure of doctoral degree programs. The analysis and study of the UK experience in organizing doctoral education programs can be used to solve some of these problems. Brunel University is one of the most prominent UK universities with strong academic traditions aimed at training highly qualified researchers. The article describes the main types and contents of doctoral degree programs, supervision principles, educational and research activities of a PhD student and the procedures for the viva process at Brunel University. Through analyzing the Brunel University experience, the authors summarize the factors that contribute to the leading position of the university in the UK and EHEA and provide close links between industry, doctoral education and research.
Automata Learning and Galois Connections (Invited Talk)

Automata learning is emerging as an effective technique for obtaining state machine models of software and hardware systems. I will present an overview of recent work in which we used active automata learning to find standard violations and security vulnerabilities in implementations of network protocols such as TCP and SSH. Also, I will discuss applications of automata learning to support refactoring of legacy control software and identifying job patterns in manufacturing systems. As a guiding theme in my presentation, I will show how Galois connections (adjunctions) help us to scale the application of learning algorithms to practical problems.
Monitoring Orang Tua Terhadap Pembayaran Uang Kuliah Dan Absensi Mahasiswa Berbasis SMS Gateway

The problem that always occurs in STMIK Royal in each semester is first, the delay in students preparing the Study Plan Card (SPC) due to the late students themselves paying tuition so that the difficulties for study programs in recording student activity data, then harming the students themselves because they are considered absent during not enrolled in lectures. Second, 90% of the students who get the final grade below are enough due to the lack of lecture meetings from the minimum number of meetings that have been determined by the academic, so students must repeat their studies in the next semester. This situation forces the study program section to be able to condition schedules, classes, and lecturers for students who repeat. For this reason, a monitoring system for tuition payments and student attendance is required based on the SMS Gateway. Through this system, academic parties can disseminate information on tuition payments and student attendance to parents or parents to monitor tuition payments and student attendance through services provided by the system.
Treatment Side Effect Prediction from Online User-generated Content

With Health 2.0, patients and caregivers increasingly seek information regarding possible drug side effects during their medical treatments in online health communities. These are helpful platforms for non-professional medical opinions, yet pose risk of being unreliable in quality and insufficient in quantity to cover the wide range of potential drug reactions. Existing approaches which analyze such user-generated content in online forums heavily rely on feature engineering of both documents and users, and often overlook the relationships between posts within a common discussion thread. Inspired by recent advancements, we propose a neural architecture that models the textual content of user-generated documents and user experiences in online communities to predict side effects during treatment. Experimental results show that our proposed architecture outperforms baseline models.
염화철(III) 개질 활성탄을 이용한 오염된 지하수 중 질산성 질소의 제거 특성

In this study, the removal rate of nitrate nitrogen, which is the main contaminant of groundwater, was observed in various parameters using iron chloride(III)- modified activated carbon. The adsorption characteristics were investigated by Langmuir and Freundlich adsorption isotherms. The contamination of nitrate nitrogen in some groundwaters is very serious due to livestock waste and nitrogen-based synthetic fertilizer. When underground water contaminated with nitrate is ingested, it is reduced to nitrite in the body. It lowers the ability of oxygen to transport and produces N-nitroso compounds, which are carcinogenic agents. Therefore, it is strictly regulated to below 10 mg/L in domestic water quality standards. The removal rates of nitrate nitrogen were determined by varying the concentration of iron chloride, the amount of iron chloride - modified activated carbon, and the pH of the initial nitric acid solution, which may affect the adsorption reaction of iron chloride - modified activated carbon and nitrate nitrogen. When nitrate nitrogen was removed using iron chloride-modified activated carbon, equilibrium was reached after about 2 hours. The removal rate of nitrate nitrogen using activated carbon modified with 50 mM iron chloride solution was increased about 2.73 times compared with control activated carbon. In the case of 30 mM iron chloride - modified activated carbon, when the amount of iron chloride - modified activated carbon was 1 g, 2.5 g, 5 g, 10 g, 20 g, the removal rate of nitrate nitrogen was 30.39%, 67.07%, 91.68%, 97.18% and 99.58%. As the pH of the initial nitric acid solution increased, the removal rate of nitrate nitrogen decreased, suggesting that pH adjustment of the sample was necessary. This study is expected to providea basis for the study on the modification of activated carbon to remove contaminants in the future.
Counting the learnable functions of structured data

Cover’s function counting theorem is a milestone in the theory of artificial neural networks. It provides an answer to the fundamental question of determining how many binary assignments (dichotomies) of p points in n dimensions can be linearly separated. However, it has proved hard to extend the same approach to more advanced problems than the classification of points. In particular, an emerging necessity in this area is to find methods to deal with structured data, and specifically with non-pointlike patterns, such as the so-called “perceptual manifolds” in image recognition, where an image is not associated to a point in n dimensions, but to a manifold defined by its rotations, dilations, translations, etc. Here, we develop a function counting theory for structured data of this kind, by extending Cover’s technique, and we derive analytical expressions for the number of dichotomies of generically correlated sets of patterns. As an application, we obtain a general formula for the capacity of a binary classifier trained to distinguish polytopes of any dimension. These results may help extend our theoretical understanding of generalization, feature extraction, and invariant object recognition by neural networks.
OPTIMISED METHOD FOR DETERMINATION OF MINOR ELEMENTS FROM ROMANIAN BIOMASS ASH

International Multidisciplinary Scientific GeoConference-SGEM, Geoconference on Science and Technologies in Geology, Recycling, SGEM 2019, vol. 19, 2019, pp.741-748
Contextual Typeahead Sticker Suggestions on Hike Messenger

In this demonstration, we present Hike's sticker recommendation system, which helps users choose the right sticker to substitute the next message that they intend to send in a chat. We describe how the system addresses the issue of numerous orthographic variations for chat messages and operates under 20 milliseconds with low CPU and memory footprint on device.
Lean, Kanban and Agile, A Story of Continuous Improvement in a University Software Team

Agile in software development is a blanket term that covers many different tools, techniques and ways of working. Like Lean, it has at its core a focus on customer value, the promotion of continuous improvement and the reduction of waste from the software development process. The Kanban board has significantly improved our daily stand-up providing team members a visual cue for discussions and making it clearer across the team exactly what they have been working on. Prior to use of the board, the online system’s ticket numbers were frequently referenced at our stand-up meetings. In a university for example, users tend to be students with their own learning commitments, or front-facing staff where budgets or business requirements do not allow them to be seconded. The chapter discusses the bottlenecks at the next retrospective to identify the cause and find solutions to prevent this happening in future.
FAKTOR-FAKTOR YANG MEMPENGARUHI PERILAKU BELAJAR AKUNTANSI DI DAERAH 3T

Based on the preliminary survey, the Bengkayang State Vocational High School 1 Bengkayang currently only has four teachers in the field of Accounting. Whereas the library only has 100 book examplers. In addition there are also computer lab facilities but no one can teach accounting computers. The purpose of this study is to find factors that influence accounting learning behavior. The population in this study were all students. The research sample is as many as 30 students who are in Bengkel 1 Vocational School majoring in accounting. The research method is descriptive and the research design is a qualitative case study. The results of this study are that those who study accounting in this case the students produce an impact that affects behavior both from within and outside themselves when studying accounting, the impact can be negative or positive for their accounting knowledge. The impact is in the form of good behavior that arises from within themselves or behavior that comes from people around them.
Pendidikan Berbasis Multiple Intelligences di SDIT Insan Mandiri Jakarta

The big conclusion of this research is that more respect for various kinds of intelligence of students, can improve the quality of education, because it emphasizes the process not only on input or output.This study supports the opinion of Howard Gardner (1983) in the theory of Multiple Intelligence, Linda Campbell & Bruce Campbell (1999), Thomas R. Hoerr (2000), Thomas Armstong (2009), MunifChatib (2009), concerning the theory of Multiple Intelligences and application of theory in the world of education. And supports the theory of Edward Sallis (2002), in his book on the quality of education.This study disagrees with Stanfrod Binet, which only measures a person's intelligence in a certain scale that focuses on the ability of the realm of language and the realm of logic. If someone is clever in both domains, it can be stated that the IQ level is high.This study shows that quality education is education that emphasizes the process, not only emphasizes the input and output. Emphasis on the process, can support students in developing the Multiple Intelligences they have. With multiple intelligence education the learning atmosphere is more fun and the output produced will be of quality so that it can develop the quality of education.The main source of this research is SDIT InsanMandiri Jakarta, which has implemented Multiple Intelligences in its schools. Data collection is done through observations, as well as documentation and interviews with school principals and teachers and staff in the school. Secondary sources are taken from books, scientific journals and the literature of experts in their fields that support this research.
Distributed Path Planning of Swarm Mobile Robots

This paper is mainly to solve the path planning problem of swarm robots. If swarm robots work in the same environment at the same time, it is necessary to have appropriate planning methods to enable individuals in the group to complete their tasks. The solution is to use the artificial bee colony algorithm for the problem of robot path planning. Because the artificial bee colony algorithm has a high efficiency to solve the optimization problem, it tries to solve the problem of robot path planning in a distributed manner. The concept of organizing robots achieves efficient task of information processing and group working in the environment.
Real-Time Heuristic Search in Dynamic Environments

In dynamic environments, agents often do not have time to find a complete plan to reach a goal state, but rather must act quickly under changing circumstances. Real-time heuristic search models this setting by requiring that the agent's next action must be selected within a prespecified time bound. In this paper, we study real-time search algorithms that can tolerate a dynamic environment, in which action costs are not fully predictable. We propose a combination of two previously-proposed methods and study its behavior both theoretically and empirically on several different benchmark domains.
Determining the Relationship between Anime Species Using Apriori Algorithm

Some of the Anime viewers focus on a particular genre, while some watch more than one type of Anime.In this study, data mining algorithm was used to investigate the extent to which Anime viewers are influenced by individual selection and selection factors based on genre.For this purpose, the collected data were analyzed by using Apriori algorithm, one of the association rule algorithms, which is one of the data mining methods.As a result of the studies, it was found that the relationship between the species followed by genre is close to 100% and that the results fluctuate between 15-80% in personal elections.
Case Study : Development of POSYANDU (Pos Pelayanan Terpadu) Information System

Data management and information dissemination of Posyandu in Wanasari village, Brebes Regency is done manually. Data management is done by recording data into books, and the information is disseminated through oral. This method is not efficient because it causes difficulties in processing data and information of Posyandu. To overcome this problem, a website information system was created with exploiting the SMS (short message service). The website is used to display posyandu participant data or information, while the SMS gateway is used to send messages automatically to participants. The test results using the black-box method have not found a problem. Thus the Posyandu Information System is made ready to be tested on the community of Wanasari village, Brebes Regency.
A high performance computing method for accelerating temporal action proposal generation

Temporal action recognition always depends on temporal action proposal generation to hypothesize actions and algorithms usually need to process very long video sequences and output the starting and ending times of each potential action in each video suffering from high computation cost. To address this, based on boundary sensitive network we propose a new temporal convolution network called Multipath Temporal ConvNet (MTN), which consists of two parts i.e. Multipath DenseNet and SE-ConvNet. In this work, one novel high performance ring parallel architecture based on Message Passing Interface (MPI) is further introduced into temporal action proposal generation, which is a reliable communication protocol, in order to respond to the requirements of large memory occupation and a large number of videos. Remarkably, the total data transmission is reduced by adding a connection between multiple computing load in the newly developed architecture. It is found that, compared to the traditional Parameter Server architecture, our parallel architecture has higher efficiency on temporal action detection task with multiple GPUs, which is suitable for dealing with the tasks of temporal action proposal generation, especially for large datasets of millions of videos. We conduct experiments on ActivityNet-1.3 and THUMOS14, where our method outperforms other state-of-art temporal action detection methods with high recall and high temporal precision. In addition, a time metric is further proposed here to evaluate the speed performance in the distributed training process.
Spectral and spatial assessment of the Ikonos images fusion, using the Principal Components, Brovey Transform and Multiplicative

This article presents the assessment of the fusion of Ikonos satellite images using three methods, the first corresponds, Principal Component second Brovey Transform and the Multiplication method implemented in the Matlab Software, with the objective of identifying which of the three methods improves the special resolution without significant loss of spectral richness. Assessment of two implemented methods were performed using the following indices: ERGAS (spectral and spatial), RASE, Universal Quality Index Qu, and Correlation Index, where the best results on spatially and spectrally richness were obtained with first method called transform Brovey.
Hybrid Procedure for Measuring Usability of Management Systems in Higher Education

Quantifying the usability of software is vital to the success of the organizations using information systems. Management systems deployed in the universities have the characteristic of having well defined user roles for which the management systems should be customized. In this field, this paper identifies a set of instruments being used for usability assessment and proposes its integration in a hybrid procedure for measuring the usability of higher education management systems. The evaluation takes place in the empiric, quantitative and qualitative dimesion. As validated instruments are used, this paper focuses on characterizing the results of the use of the proposed procedure in evaluating the usability of the integrated management system of the Universidad Técnica de Ambato In order to verify the proposal, it was used for measuring the usability of the integrated management system of Universidad Técnica de Ambato, a system with more than 25000 users. The resulting improvement plan was validated by the university's community of users, proving the acceptance of the proposal.
NCHLT Sesotho Auxiliary Speech Corpus

The corpus contains orthographically transcribed broadband speech in each of South Africa's eleven official languages. Transcriptions are provided in XML format.
Intuitive, Reliable Plans with Contingencies: Planning with Safety Nets for Landmark-Based Routing

We are interested in the problem of providing intuitive instructions for human agents to enable reliable navigation in unknown environments. Since the advent of GPS and digital maps, a common approach is to visually provide a planned path on a digital map defined in terms of actions to take at specific junctions. However, this approach relies on the agent to constantly and accurately localize itself. Furthermore, it comes in stark contrast to the way humans provide instructions—by leveraging known landmarks in the environment to both augment the description of the planned path as well as to allow to detect when the agent deviated from the planned path. Hence, there is need for assurable means of localization, an intuitive way of compactly conveying directions to agents and a systematic approach to account for human errors. To this end, our key insight is to employ known landmarks in the environment to overcome these challenges. We formally model this intuitive way to use landmarks for conveying instructions and for creating contingency plans. We present experiments demonstrating the efficacy of our approach both on synthetic environments as well as on realworld maps, computed using a smart-phone iOS application that we developed.
Absolute and Relative Classification of Cloud Regions by Satellite Image Clustering

In this paper a multilevel algorithm for cloudiness extraction from satellite map images is considered. The extracted clouds are being used for classification of regions by cloudiness with developed clustering algorithm.