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Simulation and evolution of scenarios in a gas station using simul8 software

Author(s): Denis Ramos de Oliveira,Joao Pedro Fonseca de Barcelos,Thiago Henrique Nogueira / Language(s): English Issue: 1/2018

The simulation consists of reproducing the functioning of a system by creating a model, considering its statistical data and its premises, to understand the behavior of the variables of interest. Within the simulation, several software are used. One of the most popular in organizational environments and in universities is the Simul8. This software uses two-dimensional animations, through representation in entities, resources, activities, entry points, output points, and queues. Its purpose is to simulate the operation of complex discrete models, and by manipulating the variables in the model, it is possible to simulate different scenarios and find effective solutions. As a complementary tool to the simulation of scenarios, it is relevant to cite the financial analysis, which through indicators such as EAC, MAR, NPV, PB, can indicate the economic viability of an investment. In this context, the objective of this paper was to develop a scenario analysis, through simulation in the software Simul8, in a gas station, which has an area of 150 m2 and offers the services of filling up gasoline, washing the car, and calibrating the tires, to its customers. In another situation, the purchase of an adjacent land of 80 m2 was analyzed. Therefore, it was possible to determine the number of pumps and employees that generates the highest profit, considering the available space of the two situations, and to develop a financial analysis to demonstrate the viability of the investment. It was demonstrated that the number of pumps and employees that generated the highest monthly profit was 4 and 6, respectively, for the first situation, with 150 m2, and 6 and 5 for the second, with 230 m2. It was verified that investment in the acquisition of the land is feasible because it generated both an NPV and EAC positives. However, this investment is not suggested, since the indicators obtained for the initial situation, with 150 m2, are higher, since no investments will be made in this situation and the profit values for the two scenarios are similar. Values of investment in pumps and other costs, as well as expenses, are not part of the scope of this paper, which may explain the high monetary values found based on the assumptions considered.

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Geographically weighted regression in analysis of information and comunication technology development in Indonesia

Author(s): Dwu Puspita Sari,Jamilatuzzahro Jamilatuzzahro,Vijay Kanabar / Language(s): English Issue: 1/2018

The main purpose of this paper was to analyze the development of Information and Communication Technology (ICT) in Indonesia with Geographically Weighted Regression (GWR) to enable the identification of the variability of regression coefficients in the geographical. The study has been conducted using the statistical data for 33 provinces in Indonesia. There were 3 independent variables defined during this study as factors that influence the development of ICT in Indonesia: location, economic prosperity, and education, and internet users in Indonesia has been defined as dependent variable. The result of this research shown the highly correlation between those three independent variables toward defined dependent variable shown by the value of R square of 0.7310782 which means the dependent variable can be well explained by independent variables.

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Case study: Power bi visualizations applied to digital video publisher's adveryising space

Author(s): Joseph Chomski / Language(s): English Issue: 1/2018

As video viewing migrates from cable TV to increasingly fragmented platforms - web browsers, mobile phones, and over-the-top devices such as Roku and AppleTV – digital video publishers dependent upon advertising revenue face increasing operational challenges. Each platform has its own standards and data formats, creating multiple heterogeneous buckets of perishable advertising space. This case study presents how Microsoft Power BI visualizations were used to provide a holistic performance management view of advertising space, and helped optimize monetization of each platform by raising awareness of KPI’s to operations managers.

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An online platform for project based learning - a proposal

Author(s): Yuting Zhang / Language(s): English Issue: 1/2018

Project Based Learning (PBL) has become a widely used teaching method in K-12 education and spread to higher education. It has been used in many technical fields, particularly in Engineering, also increasingly now in Computer Science. PBL is a student centered pedagogy that integrates knowing and doing. Through real life projects,, students work as teams to form project ideas, design projects and implement projects. Research has shown that PBL can motivate learning, enhance learning quality, and help students learn not only technical skills but also soft skills .While PBL has a number of benefits, it is also quite challenging to implement PBL effectively. In this paper, we propose an online platform to prompt the implementation of authentic PBL at the program level across different courses. The purpose of this online platform is to build a community for students to find, share, implement and discuss projects, as well as facilitate better communication between students and faculty members across different courses.

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Striking the balance: Traching data mining with the right mixture of depth and breadth

Author(s): Gregory Page,Slav Angelov,Penko Ivanov,Vladimir Zlatev / Language(s): English Issue: 1/2018

The purpose of this paper is to describe the methodology that was used to develop and teach AD699: Data Mining for Business Analytics at Boston University’s Metropolitan College in Spring 2018 (on campus) and in Summer I 2018 (online). Data mining for business analytics is a field that sits at the intersection of statistics, computer science, and business-specific domain knowledge. The goal in teaching the course was to prepare students for a “full-spectrum” approach to data mining. That is to say, graduates of AD699 should be able not only to interpret and assess the results of the data mining process, but also to build the models, know the underlying functions, and alter the code in the R programming environment as needed to adjust the models. That said, this was not a Computer Science course, and the students were not coming from a programming background -- chief among the challenges associated with delivering this course was the question of how much emphasis to place on proper syntax. Where the course developers had to choose between breadth and depth, they opted for breadth; however, they remained careful at each step of the way to ensure that the course material remained substantive and challenging. By giving students a broad basis of exposure to topics such as data exploration and initial analysis, performance assessment, and implementation of both supervised and unsupervised learning models, the intention was to prepare them to have a reasonable level of fluency in whatever specific topic an employer wished them to drill down on at a deeper level in the workforce. From a pedagogical perspective, the course developers took a wide-ranging approach. Among the teaching methods employed were traditional lectures, video-based tutorials, technology-enabled tutorials (such as the AD699-specific lessons built using the Swirl platform, and accessible through the BU Virtual Lab environment), assigned readings, individual assignments, online discussion boards, and a culminating exercise that required students to work in teams to use a real-world dataset based on Airbnb rentals to build and apply data mining models.

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A framework for modeling in scale: An introduction

Author(s): Eric Braude / Language(s): English Issue: 1/2018

UML class models, arranged in the plain in the traditional manner, are very useful. However, this usefulness degrades rapidly for large, realistic models. The paper introduces a disciplined layout format that addresses this limitation.

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On sperner's theorem

Author(s): Ivan Landjev / Language(s): English Issue: 1/2018

Let R be a finite chain ring with |R|=q2, R/radR=Fq. Every submodule M of RRn is isomorphic to a direct sum of cyclic modules:M=R/Nλ1 + R/Nλ2 + ... + R/Nλn,where λ1≥ λ2≥…≥ λn≥0 are integers and N=rad R. The n-tuple (λ1,λ2,…,λn) is called the shape of M. We consider the partially ordered set P of all submodules contained in a module of shape (λ1,λ2,…,λn). We prove an anlogue of Sperner's theorem saying that the size of a maximal antichain in P is equal to Σ[λμ]μ≤λwhere the summand is defined as the number of all modules of shape μ contained in a module of shape λ and the the sum runs over all partitions μ=(μ1,μ2,…,μn) with Σμi=[(Σiλi)/2].

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Introdusing agile concepts in project management and software development courses

Author(s): Vijay Kanabar,Kalinka Kaloyanova / Language(s): English Issue: 1/2018

Software project management and software development courses have started introducing Agile Project Management theory and practice into their curriculum. Pedagogically very little has been written about their curriculum design, approaches or tools and techniques when attempting to embed agile topics into such courses. In this paper, we survey agile concepts and describe a curriculum of topics and learning outcomes which can be injected by any instructor seeking to enhance their course with agile theory and practice. We also map the PMBOK® standard with agile practice.

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Generation of virtual annotated corpora

Author(s): Mariyana Raykova,Valentina Ivanova,Hristina Kostadinova / Language(s): English Issue: 1/2018

Course designers and instructors do their best to provide well-structured and motivating e-learning process by choosing the most appropriate e-materials and to create variety of digital activities of different types. One possible approach to reduce their efforts in the process of creating e-courses is presented in this paper. It is based on the idea of applying structured annotation of text corpora, using previously defined annotation elements, divided into four groups. The annotation is done by experts in linguistics and thousands of annotated text corpora is stored and analyzed. The set of annotated text corpora can be used to provide two important features: 1. to generate new text corpora, called virtual corpora, which can be used as learning materials in e-course and 2. to generate new test items of different types, which can be used to enrich question banks and to create online quizzes. The first feature will improve the quality of the e-course content and the second will enhance learners‘ assessment and self-assessment. Web-based annotation software system called MorphAnalyzer with separate modules for virtual corpora and test items generation is created and integrated into Moodle learning management system. The annotation system is tested and approbated in the foreign languages subject area.

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How to impruve teaching in discrete mathematics via programming and vice versa

Author(s): Mariyana Raykova,Stoyan Boev / Language(s): English Issue: 1/2018

Nowadays learning mathematics in the university seams like a big challenge, taking in mind the decreasing level of mathematical skills from secondary education and low study motivation. But there is no doubt that learning Computer Science is going hand by hand with learning mathematics generally and Discrete mathematics in particular. In this article we try to propose a possible solution of that problem. As students that are studying Informatics at New Bulgarian University constantly ask as the question “Why should we learn mathematics?”, we came to the idea of putting Discrete Mathematics and Programming together in order to show them some of the reason. The most interesting point in that the students pretend to learn more programming on account of maths is that, their results in maths are much better, than in programming. So we had one more problem to solve. The first problem was how to increase the interest in learning mathematics, and the second was how to improve their programming skills. In order to solve these two problems (and not only them), we proposed a new course in our programs of Informatics and Information Technologies called “Computer labs in discrete mathematics”. In that course we are teaching some basic discrete structures and one of the most popular algorithms from discrete mathematics through programming with C++.

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Early detection of forest fires - standart interfaces and protocols and sensor network and cloud level definition

Author(s): Jugoslav Achkoski,Nikola Kletnikov,Nevena Serafimova,Igorche Karafilovski,Rossitza Goleva / Language(s): English Issue: 1/2018

In this paper we presented full design of the system for monitoring forest which consists of cloud platform, sensor networks and mobile (drone) technologies for data collection and cameras. We first present the advanced design and structural model of an advanced system for monitoring of forest area. This model integrate sensor networks and mobile (drone) technologies for data collection and acquisition of those data at existing Crisis Management Information Systems (CMIS). Then we demonstrate the possibility to map different technological solutions and the main result was the definition of the set of standard interfaces and protocols for network interoperability.

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Teaching data mining techniques to applied business analytics students with the help of interactive hands-on tutorials

Author(s): Penko Ivanov / Language(s): English Issue: 1/2018

This paper discusses a contemporary educational approach for teaching data mining techniques to applied business analytics students with the help of interactive hands-on tutorials. This approach provides for different levels of guidance, depending on the complexity of the task. The most complex technical steps of the data mining process can be automated, allowing students with non-technical backgrounds to understand and appreciate the conceptual purposes without needing to dive into the minutiae of detailed optimization algorithms. The proposed method leverages advanced technologies to enable the delivery of a complete educational product that resonates with students of different backgrounds, and with various preferred learning styles. The author presents his work on the development of interactive hands-on tutorials for teaching data mining techniques directly in the R console for the purposes of the “AD699 Data Mining for Business Analytics” – a graduate course being delivered both online and on-campus by Boston University / Metropolitan College, Department of Administrative Sciences.

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Data analytics for devops effectiveness

Author(s): Alexandrina Ivanova,Penko Ivanov / Language(s): English Issue: 1/2018

This paper discusses the opportunities and challenges associated with the data-driven approach to DevOps. The authors present analytical methods and techniques that can be applied to data collected from the DevOps process, as well as several ways in which that data can be used to improve the enterprises’ development capabilities. The authors include specific recommendations regarding the data that should be collected over time, as well as common data storage best practices for enabling analysis and reporting. Metrics and DevOps effectiveness KPIs are described in the paper as well. As an example of KPI analytics the authors show particular application of machine learning algorithms for classification of new code change requests into cost categories, which facilitates deployment activities optimization and cost reduction. The authors’ proposed approach is explained in the context of use cases at existing internationally recognized leading companies, which run multiple large-scale software development projects simultaneously. In addition, the paper explores the changing role of the DevOps engineer regarding data analytics, and highlights the requisite skills and knowledge for him to be successful in the big data era.

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End-user application for early forest fire detection and prevention

Author(s): Peter Peinl,Micha Heidreich,Ivan Chistov,Jugoslav Achkoski,Nikola Kletnikov,Igorche Karafilovski,Nikola Manev,Rossitza Goleva,Alexandar Savov,Ivelin Andreev / Language(s): English Issue: 1/2018

In this paper, we describe a Web application that has been designed and implemented by Fulda University of Applied Sciences in the context of the ASPires project. The application extends the functionality available to Crisis Management Centers (CMC). Actual readings from sensors installed in the test areas, for example national parks, are made available to CMC personnel, as well as pictures from cameras that are either mounted on stationary observation towers or taken by Unmanned Aerial Vehicles (UAVs) in the area of an actual of supposed forest fire. Data are transmitted to the ASPires cloud and delivered swiftly to the Web application via an open interface. Furthermore, fire alarms raised by novel detection algorithms are forwarded automatically to the application. This clearly improves the potential for the early detection of forest fires in rural areas.

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Blockchain solution for annual evaluation in Bulgarian schools

Author(s): Delyan Keremedchiev,Juliana Peneva / Language(s): English Issue: 1/2018

The educational system in Bulgaria covers twelve grades. The quality of the education is measured at the end of the academic year. Students take written exams in the fourth, seventh and twelfth grade. The evaluation of these exams is concerned with a lot of paper work and documents exchange. The results of the evaluation should be provided to the authorities in a secure and reliable way. With the modern blockchain a school-based distributed computing environment can be created and many of the current difficulties can be overcome. By design, a blockchain is resistant to data modification and provides security and data integrity. In order to create such a blockchain each school has to support a blockchain based peer in its IT infrastructure. The Ministry of Education will be able to access all relevant data in a convenient and secure way. The blockchain technology will prevent manipulation of test results. Reliable information can be provided for interested institutions such as universities and potential employers. In this paper possibilities for blockchain implementation in schools which leads to improvement of Bulgarian school educational system are discussed..

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Introduction of Bell-Lankaster method and learning by doing into the practical curriculum at under-graduate and graduate levels

Author(s): Valentina Ivanova,Mariyana Raykova / Language(s): English Issue: 1/2018

Micro IT projects are considered an educational innovation in the context of undergraduate education at department Computer Science at New Bulgarian University. The management of micro IT project in the educational context is challenging from organizational and academic point of view. This paper presents the introduction of Bell-Lancaster method into the practical curriculum at under-graduate and graduate levels from educational and from management perspective. The discussion covers the micro IT projects practicum set-up, the learning outcomes, the success rate of the projects and the students’ feedback. The pilot started in 2013/2014 with two teams, now it is scaled up to than 23 teams with more than 80 participants.

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Representative sample as a LP problem

Author(s): Dimitar Atanasov / Language(s): English Issue: 1/2018

Empirical analyses usually estimate the effect of some variables, considered as independent, on one (or more), considered as dependend. It is rare situation to have the whole population available for the analysis. Then, usually a subsample is chosen and the conclusions are generalized to the whole population. This approach is based on the concept that the sample represents, in some meaning the population. If a sample is large enough and the selection process is random, usually the sample is considered to be representative one. However in some cases the sample should satisfy some restrictions on selected characteristics, which are previously known for the population. Here we propose an approach to this problem as a solution of a task of integer linear programming.

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An online platform for study of effects of violence and traumatic events

Author(s): Yiki Lu,Junjie Ding,Li-Ke Ko,Meng-Tse Li,Caleb Ruth,Yash Nanavati,Yi Zou,Bindu Kalesan,Lou Chitkushev,Guanglan Zhang / Language(s): English Issue: 1/2018

Prevalence of exposure to traumatic events in adults living in the United States is very high at 89% with the majority reporting multiple events of traumatic exposures [1]. The research regarding the long-term effects of exposure to childhood and adulthood traumatic experiences is still nascent and has not been studied as a life-course exposure. We, a multidisciplinary research team at BU, proposed a longitudinal study to assess injury/disease progression from trauma to cardiovascular outcomes by recruiting a contemporary national E-cohort of US adults (>18 years old) and collecting self-reported, longitudinal data over 10 years using a unique in-house multiplatform software application.

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Seeing the staircase: Reflections on a first semester teaching data mining to business students

Author(s): Gregory Page / Language(s): English Issue: 1/2018

In this paper, the author presents several challenges associated with teaching a technical subject that blends statistics, computer science, and specific subject-matter knowledge to an academically-accomplished but mostly non-technical audience. He also talks about some of the difficulties that he faced as an instructor dealing with three levels of newness: the course was brand new, so there was no prior blueprint upon which to fall back; the concepts presented in the course were completely new to the students; and some of the material was relatively new to him as well. After describing these challenges, he shares several lessons learned regarding instructional material and approaches that succeeded with the audience, as well as some candid reflections about areas in which he can improve future iterations of the course.

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Don't be afraid to commit experiences using github classroom for teaching CS

Author(s): Andrew Wolfe / Language(s): English Issue: 1/2018

Many of us teaching Computer Science are familiar with version control systems, whether from academic experience or from industry. In professional environments, such systems are often viewed as vehicles for delivering a product. However, in a very real sense these systems are also an individual vehicle for delivering their individual work for integration into a product. In this way, the conveyance of the CIS student’s work for grading bears a lot of resemblance to version control. And, of course, students going into a professional environment are likely to be required to use such tools on a daily basis. At the same time there are many drawbacks to teaching computer science or CIS using Blackboard or other learning management systems ("LMS"). The most serious problem is that realistic assignments involve files that depend on other files and on runtime context, like particular folder or initialization files. Such context is lost is the flattened submission format of the LMS. In addition, LMS assignment structures also obstruct the provision of 'sample' or 'starter' files, and of the directory/folder structures often needed to make toolsets work effectively. In order to meet these needs, I decided to use a service called GitHub Classroom in three courses from Fall 2017 to the present. GitHub is well known as a colossal version-control repository server using the git distributed version-control system. (In 2017 GitHub had 24 million users with 67 million version-control repositories.) GitHub Classroom is a service that adapts the usual professional Git workflow to distribute individually to students; it is free to those with certifiable faculty positions. The first course on which I used GitHub Classroom was CS 689, the newly-reworked course "Designing and Implementing a Data Warehouse." However, in the middle of the Spring semester, I also deployed GitHub Classroom on the Term Project for CS 669, "Database Design and Implementation for Business." I found GitHub Classroom to be extremely useful and, with adaptations, intend to use it for future courses. This paper will present my experience as a case study on the mechanics, advantages, and drawbacks of using this service for teaching courses relating to computer science and information systems.

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