Computer Sciences Commons^™

Wi-Fi A Simple And Efficient Way For Offloading Data Traffic In Mobile Networks, Irena Malolli, Kozeta Sevrani

International Journal of Business and Technology

Mobile data traffic is significantly increased year by year due to a number of factors including new smart devices, new applications such as M2M, the so-called “always-on” applications and services etc. In addition the recent studies tell us that the forecasts for mobile data traffic in near future will be tenfold higher, while the revenue for this market is expected to be increased only twofold. This trend raised a number of challenges for the mobile network operators (MNOs) in the world and in our region. Different technical and commercial solutions are discussed and developed and / or under developing. The …

Estimation And Improvements Of The Fundamental Qos In Networks With Random Topologies, Zhilbert Tafa

International Journal of Business and Technology

The computer communication paradigm is moving towards the ubiquitous computing and Internet of Things (IoT). Small autonomous wirelessly networked devices are becoming more and more present in monitoring and automation of every human interaction with the environment, as well as in collecting various other information from the physical world. Applications, such as remote health monitoring, intelligent homes, early fire, volcano, and earthquake detection, traffic congestion prevention etc., are already present and all share the similar networking philosophy. An additional challenging for the scientific and engineering world is the appropriateness of the alike networks which are to be deployed in the …

A Web-Based Platform For E-Learning And Blended Learning In Modelling And Simulation, Martin Bicher, Irene Hafner, Andreas Bauer, Carina Pöll, Niki Popper, Felix Breitenecker

International Journal of Business and Technology

The Mathematics Modelling and Tools (MMT) e-learning system is a platform used for supporting lectures and tutoring at the Vienna University and Technology. Additionally to traditional e-learning properties like up- and download of lecture notes, videos and slides the MMT system provides the surface for a virtual modelling and simulation laboratory. Very powerful calculation software like MATLAB, Java or Octave, running in behind, allows experimenting with targeted modelling and simulation examples prepared and developed by experts. These are first of all used to support the presentation directly at the lecture and can afterwards be accessed by students given a password …

Cloud Security, Isabella Roth, Jose Salazar, Yi Hu

Posters-at-the-Capitol

Isabella Roth

Jose Salazar

Professor Yi Hu

Computer Information Technology

Cloud Security: AWS Abstract

With enterprises moving their IT infrastructure to the cloud using providers like Amazon Web Services (AWS), security problems have not been reduced. In fact, cloud computing brings new security challenges. Our research investigated better solutions to the security problems that come with using the cloud to store a companies data.

The cloud is a general term for using the internet to receive some sort of data vs connecting directly to a server. This makes it easier to do things such as connecting to an online app …

The Impacts Of Cloud Computing And Big Data Applications On Developing World-Based Smallholder Farmers, Nir Kshetri

International Journal of Business and Technology

Cloud computing and big data applications are likely to have far-reaching and profound impacts on developing world-based smallholder farmers. Especially, the use of mobile devices to access cloudbased applications is a promising approach to deliver value to smallholder farmers in developing countries since according to the International Telecommunication Union, mobile-cellular penetration in developing countries is expected to reach 90% by the end of 2014. This article examines the contexts, mechanisms, processes and consequences associated with cloud computing and big data deployments in farming activities that could affect the lives of developing world-based smallholder farmers. We analyze the roles of big …

Efficient Algorithm For Solving 3sum Problem, Muhamed Retkoceri

International Journal of Business and Technology

In this paper is presented an algorithm for solving 3SUM problem efficiently in general computation model. The algorithm is based on sorting and splits the task into sub-tasks where this approach enables the algorithm to run concurrently at the high-level of computing. The algorithm is O(n2) and running sequentially achieves at least ~1/5 n2 number of basic necessary accesses of data structures. In this paper is also presented a comparison of running performances in practice between the new algorithm and the current most famous algorithm for 3SUM which is in-place and also based on sorting.

Using Congruence In Encoding Musical Partituras, Besim Shala, Besiana Mehmedi, Shkodran Tolaj, Azir Jusufi

International Journal of Business and Technology

Along with theoretical review of partituras and encryption systems, we have tried to conduct encryption of sheets by encoding all of its elements such as: encoding musical notes, encoding values of notes and intermissions, encoding accords, encoding tonalities and encoding rhythm whereby the original musical piece is transformed into an irregular and meaningless sheet. Information technology today has allowed for easier copying of authorial pieces; therefore, it is necessary to know encryption which allows protection of pieces from any misuse. Cryptology including knowledge of congruence deals with resolution of these insecurities. The significance of this paper lies in intertwining knowledge …

Theoretical Analysis Of Dynamic General Equilibrium Model, Mimi Kodheli, Arjeta Vokshi

International Journal of Business and Technology

Central Bank is one of the most important institutions of a country because its responsibility is to draw and implement the monetary policy. The central bank, in order to accomplish this responsibility, has to have a clearly defined main objective, the instruments that will use to achieve the objective, and it should be able to make precise or very good forecasts of macroeconomic variables. In order to make these forecasts, the central bank should first of all understand every monetary transmission mechanism and determine the most effective one. The success or non-success of monetary policy, living apart the other factors, …

Concept Of Online Assisted Platform For Technologies And Management In Communications – Optimek, Galia Marinova, Vassil Guliashki, Ognyan Chikov

International Journal of Business and Technology

The paper describes the concept of a Multimodular Multydisciplinary platform, contacting through unified templates in a Portal with knowledge, with Useful INTERNET resources, in order to provide advanced research and education. Usually the online resources available are mainly in the area of e- and distance education, but still an understanding is missing for the scale and the use of studying and the systematization of the online resource. The new concept has an accent of the useful INTERNET resource and the development of a System of nets to it, in the aim of solving tasks and generating new knowledge in the …

Itu-Prp: Parallel And Distributed Computing Middleware For Java Developers, Enis Spahi, D. Turgay Altilar

International Journal of Business and Technology

ITU-PRP provides a Parallel Programming Framework for Java Developers on which they can adapt their sequential application code to operate on a distributed multi-host parallel environment. Developers would implement parallel models, such as Loop Parallelism, Divide and Conquer, Master-Slave and Fork-Join by the help of an API Library provided under framework. Produced parallel applications would be submitted to a middleware called Parallel Running Platform (PRP), on which parallel resources for parallel processing are being organized and performed. The middleware creates Task Plans (TP) according to application’s parallel model, assigns best available resource Hosts, in order to perform fast parallel processing. …

Performance Indicators Analysis Inside A Call Center Using A Simulation Program, Ditila Ekmekçiu, Markela Muça, Adrian Naço

International Journal of Business and Technology

This paper deals with and shows the results of different performance indicators analyses made utilizing the help of Simulation and concentrated on dimensioning problems of handling calls capacity in a call center. The goal is to measure the reactivity of the call center’s performance to potential changes of critical variables. The literature related to the employment of this kind of instrument in call centers is reviewed, and the method that this problem is treated momentarily is precisely described. The technique used to obtain this paper’s goal implicated a simulation model using Arena Contact Center software that worked as a key …

Exploring The Role Of Sentiments In Identification Of Active And Influential Bloggers, Mohammad Alghobiri, Umer Ishfaq, Hikmat Ullah Khan, Tahir Afzal Malik

International Journal of Business and Technology

The social Web provides opportunities for the public to have social interactions and online discussions. A large number of online users using the social web sites create a high volume of data. This leads to the emergence of Big Data, which focuses on computational analysis of data to reveal patterns, and associations relating to human interactions. Such analyses have vast applications in various fields such as understanding human behaviors, studying culture influence, and promoting online marketing. The blogs are one of the social web channels that offer a way to discuss various topics. Finding the top bloggers has been a …

Perfect Metamaterial Absorber Based Energy Harvesting Application In Ism Band, Furkan Dincer, Mehmet Bakir, Muharrem Karaaslan, Kemal Delihacioglu, Cumali Sabah

International Journal of Business and Technology

An electromagnetic (EM) energy harvesting application based on metamaterial absorber (MA) is introduced and discussed in this paper. This application is operating at ISM band (2.40 GHz) which is especially chosen due to its wide usage area. Square ring resonator (SRR) which has two gaps and resistors across the gaps on it is used. Chips resistors are used to deliver power to any active component. Transmission and reflection characteristics of metamaterial absorber (MA) for energy harvesting application are investigated. 83.6% efficient for energy harvesting application is realized in this study.

The Analytic Hierarchic Process: A Model To Evaluate The Risk Of Getting Cancer, Daniela (Halidini) Qendraj, Markela Muça

International Journal of Business and Technology

The aim of this study is to classify the risk factors of being with a type of cancer by applying the AHP (analytic hierarchy process) scale. The Saaty’s analytic hierarchy process is applied for computing weights for the factors, is a modeling for classification. A case study of QSUT Tirana hospital data base is presented to rank four cancer types. By the data collect from the hospital during the years 2011-2015, the results show that lung cancer is mostly spread in humans, and the prostate cancer is lower spread in humans.

Internet Of Things: From Applications, Challenges And Standardization To Industry Implementations, Xhafer Krasniqi

International Journal of Business and Technology

The Internet of Things that is defined as anything that can be accessible anytime and anywhere provides connectivity to different objects and sensors around us and which will enable the transfer of different data between these objects and devices. A thing in the Internet of Things can be any natural or man-made object that can be assigned an IP address with a capability to exchange date over a network. There is a huge number of applications of IoT to benefit users, such as health monitors, smart homes, connected cars etc.

If everything around us is connected and information about these …

Modelling Business And Management Systems Using Fuzzy Cognitive Maps: A Critical Overview, Peter P. Groumpos

International Journal of Business and Technology

A critical overview of modelling Business and Management (B&M) Systems using Fuzzy Cognitive Maps is presented. A limited but illustrative number of specific applications of Fuzzy Cognitive Maps in diverse B&M systems, such as e business, performance assessment, decision making, human resources management, planning and investment decision making processes is provided and briefly analyzed. The limited survey is given in a table with statics of using FCMs in B&M systems during the last 15 years. The limited survey shows that the applications of Fuzzy Cognitive Maps to today’s Business and Management studies has been steadily increased especially during the last …

Hybrid Modelling In System Simulation, Andreas Körner

International Journal of Business and Technology

In times of increasing power and capacity in computer, simulation mathematical models are getting more and more important. For different technical applications and in natural science but also in economic systems and management processes appropriate mathematical model descriptions are necessary. Hybrid modelling is a special technique for more complex model descriptions in order to reduce the degree of complexity. In different fields of interest, the behavior of a model is dependent on the active state. When the model description is changing from one state to another, a so-called state event takes place. State event modelling is the overall term to …

E-Learning Systems In Higher Education Institutions: An Outlook Of Their Use In The Western Balkan Region, Blerta Abazi Chaushi, Agron Chaushi, Florije Ismaili

International Journal of Business and Technology

This study provides a review of the literature on e-learning systems evolution and environments. The argument is that e-learning systems should be embedded in the core strategy of the institution. To support this premise, studies for e-learning are analyzed and six recommendations are drawn for universities to follow in order to have successful e-learning environments. The main contribution of this study, however, is the identification of the trends and statistics regarding the e-learning usage in the Balkan region. These stats are identified through a survey conducted in 40 universities in 10 countries from this region. The results show that more …

Definition, Validation And Comparison Of Two Population Models For Austria, Martin Bicher, Barbara Glock, Florian Miksch, Niki Popper, Günter Schneckenreither

International Journal of Business and Technology

In this work we present two structurally different mathematical models for the prognostic simulation of Austria’s population: A time-continuous, macroscopic system dynamics approach and a time-discrete, microscopic agent-based approach. Both models were developed as case studies of a series of population concepts in order to support models for decision-support in Austria’s health care system. In the present work we want to focus on the definition, the parametrisation as well as especially the validation process of both population-models. The latter was of special interest as it included a cross-model validation with Statistics Austria’s own prognostic model SIKURS.

Case Studies For A Markov Chain Approach To Analyze Agent-Based Models, Florian Kitzler, Martin Bicher

International Journal of Business and Technology

Agent-Based Models have become a widely used tool in social sciences, health care management and other disciplines to describe complex systems from a bottom-up perspective. Some reasons for that are the easy understanding of Agent-Based Models, the high flexibility and the possibility to describe heterogeneous structures. Nevertheless problems occur when it comes to analyzing Agent-Based Models. This paper shows how to describe Agent-Based Models in a macroscopic way as Markov Chains, using the random map representation. The focus is on the implementation of this method for chosen examples of a Random Walk and Opinion Dynamic Models. It is also shown …

Microsimulation Models For Simulating Pathways Of Patients With Mental Diseases, Andreas Bauer, Felix Breitenecker, Christoph Urach

International Journal of Business and Technology

Predicting demand for care is necessary to provide sufficient capacities in hospitals and enable better planning to cope with challenges like changes in the structure of the population. Emphasis in this work is put on the analysis of the data and on the parametrization of a simulation model for the paths of patients with mental diseases through the health care system. Survival analysis and model selection methods are used for this purpose. Data on patients and their treatments is analyzed with methods of survival analysis. Different methods for modelling the survival and hazard function are presented and compared. Hereby, the …

Implementation Of The Aodv Routing In An Energy-Constrained Mesh Network, Altin Zejnullahu, Zhilbert Tafa

International Journal of Business and Technology

Wireless sensor networks (WSNs) compose the fundamental platform for a number of Internet of Things (IoT) applications, especially those related to the environmental, health, and military surveillance. While being autonomous in power supply, the main challenge in node’s processing and communication architecture design remains the energy efficiency. However, this goal should not limit the main functionality of the system which is often related to the network coverage and connectivity.

This paper shows the implementation of the Ad-hoc On-demand Distance Vector (AODV) routing algorithm in an XBee based platform. As shown, the network can achieve low power consumption per node primarily …

Security Concerns Of New Alternative Telecommunication Services, Arbnora Hyseni, Krenare Pireva, Miranda Kajtazi

International Journal of Business and Technology

With the advancing new era of communication, the so-called era of ‘being always online’ many providers offer their services for free. In that sense a small company or a virtual company becomes a huge competitor for different traditional telecommunication providers. Using the same services such as: voice calls, video calls, chat and similar services, the internet technology has made huge changes how users make use of such services . Instead of using these services, users shall install applications that are specialized for offering these services via applications, such as: Viber, WhatsApp, Facebook, Google Talk etc.. During the installation and update …

Labeled-Image Captcha: Concept Of A Secured And Universally Useful Captcha, Mokter Hossain, Ken Nguyen, Muhammad Asadur Rahman

International Journal of Business and Technology

Captcha (Completely Automated Public Turing test to tell Computers and Humans Apart) is a widely used online security tool that ensures that a computer program is not posing as a human user. While smart programs with advanced image processing capability have already cracked picture based captcha systems there is a need for making the test harder. This paper presents a design prototype of a simplified type of labeled-image captcha where a picture of a common animal or household item is marked with a number of different labels and the users will be asked to provide the correct label for specific …

A Policeless Traffic Ticketing System With Autonomous Vehicles, Mükremin Özkul, Ilir Çapuni

International Journal of Business and Technology

Besides being expensive, traffic violation monitoring systems rely heavily on a huge infrastructure that incurs installation, operational, and maintenance costs.

Developing countries — where people do exhibit less traffic safety aware- ness — deployment of such systems becomes a daunting task. A police- men cannot be everywhere, and a policeman can also be bribed.

With the above goals in mind, in this paper we present an infrastructure- less and police-less traffic violation detection system that relies solely on the broadcast messages between the vehicles and secure communication of the vehicles with the transportation authority. Each vehicle should be equipped with …

Annotation-Enabled Interpretation And Analysis Of Time-Series Data, Niveditha Venugopal

Dissertations and Theses

As we continue to produce large amounts of time-series data, the need for data analysis is growing rapidly to help gain insights from this data. These insights form the foundation of data-driven decisions in various aspects of life. Data annotations are information about the data such as comments, errors and provenance, which provide context to the underlying data and aid in meaningful data analysis in domains such as scientific research, genomics and ECG analysis. Storing such annotations in the database along with the data makes them available to help with analysis of the data. In this thesis, I propose a …

Delta Debugging Microservice Systems, Xiang Zhou, Xin Peng, Tao Xie, Jun Sun, Wenhai Li, Chao Ji, Dan Ding

Research Collection School Of Computing and Information Systems

Debugging microservice systems involves the deployment and manipulation of microservice systems on a containerized environment and faces unique challenges due to the high complexity and dynamism of microservices. To address these challenges, in this paper, we propose a debugging approach for microservice systems based on the delta debugging algorithm, which is to minimize failureinducing deltas of circumstances (e.g., deployment, environmental configurations) for effective debugging. Our approach includes novel techniques for defining, deploying/manipulating, and executing deltas following the idea of delta debugging. In particular, to construct a (failing) circumstance space for delta debugging to minimize, our approach defines a set of …

On The Feasibility Of Profiling, Forecasting And Authenticating Internet Usage Based On Privacy Preserving Netflow Logs, Soheil Sarmadi

USF Tampa Graduate Theses and Dissertations

Understanding Internet user behavior and Internet usage patterns is fundamental in developing future access networks and services that meet technical as well as Internet user needs. User behavior is routinely studied and measured, but with different methods depending on the research discipline of the investigator, and these disciplines rarely cross. We tackle this challenge by developing frameworks that the Internet usage statistics used as the main features in understanding Internet user behaviors, with the purpose of finding a complete picture of the user behavior and working towards a unified analysis methodology. In this dissertation we collected Internet usage statistics via …

Personalized Microblog Sentiment Classification Via Adversarial Cross-Lingual Learning, Weichao Wang, Shi Feng, Wei Gao, Daling Wang, Yifei Zhang

Research Collection School Of Computing and Information Systems

Sentiment expression in microblog posts can be affected by user’s personal character, opinion bias, political stance and so on. Most of existing personalized microblog sentiment classification methods suffer from the insufficiency of discriminative tweets for personalization learning. We observed that microblog users have consistent individuality and opinion bias in different languages. Based on this observation, in this paper we propose a novel user-attention-based Convolutional Neural Network (CNN) model with adversarial cross-lingual learning framework. The user attention mechanism is leveraged in CNN model to capture user’s language-specific individuality from the posts. Then the attention-based CNN model is incorporated into a novel …

Visualization, Feature Selection, Machine Learning: Identifying The Responsible Group For Extreme Acts Of Violence, Mahdi Hashemi, Margeret A. Hall

Interdisciplinary Informatics Faculty Publications

The toll of human casualties and psychological impacts on societies make any study on violent extremism worthwhile, let alone attempting to detect patterns among them. This paper is an effort to predict which violent extremist organization (VEO), among 14 currently active ones throughout the world, is responsible for a violent act based on 14 features, including its human and structural tolls, its target type and value, intelligence, and weapons utilized in the attack. Three main steps in our paper include: 1) the visualization of the violent acts through linear and non-linear dimensionality reduction techniques; 2) sequential forward feature selection based …