Communication Commons^™

Four Functions Of Statistical Significance Tests, Xinshu Zhao

Professor Xinshu ZHAO

Preliminary Investigation Of Walking Motion Using A Combination Of Image And Signal Processing, Bradley Schneider, Tanvi Banerjee

Kno.e.sis Publications

We present the results of analyzing gait motion in first-person video taken from a commercially available wearable camera embedded in a pair of glasses. The video is analyzed with three different computer vision methods to extract motion vectors from different gait sequences from four individuals for comparison against a manually annotated ground truth dataset. Using a combination of signal processing and computer vision techniques, gait features are extracted to identify the walking pace of the individual wearing the camera as well as validated using the ground truth dataset. Our preliminary results indicate that the extraction of activity from the video …

The Transition Experiences Of International Graduate Students In Clark University School Of Professional Studies, Xuesong Huang, Mingyang Lian, Dang Trung, Jay Sheth, Yuwei Yang, Irina Klimenko

School of Professional Studies

In the last decade, the School of Professional Studies at Clark University has witnessed a sharp increase in international students. More and more international students in the millennial generation have entered the School of Professional Studies pursuing one of the two-year graduate programs: Master of Science in Professional Studies, Master of Science in Public Administration, and Master of Science in Information Technology. In the past, working adult student dominant the program. These students already had a career outside the classrooms before them came to study. The millennial international students have generated new adjustment problems. Some of the transition issues of …

Efficient Online Summarization Of Large-Scale Dynamic Networks, Qiang Qu, Siyuan Liu, Feida Zhu, Christian S. Jensen

Research Collection School Of Computing and Information Systems

Information diffusion in social networks is often characterized by huge participating communities and viral cascades of high dynamicity. To observe, summarize, and understand the evolution of dynamic diffusion processes in an informative and insightful way is a challenge of high practical value. However, few existing studies aim to summarize networks for interesting dynamic patterns. Dynamic networks raise new challenges not found in static settings, including time sensitivity, online interestingness evaluation, and summary traceability, which render existing techniques inadequate. We propose dynamic network summarization to summarize dynamic networks with millions of nodes by only capturing the few most interesting nodes or …

‘Tweetboard’ – A Case Study Of Developing A Micro-Blogging Platform For Higher Education, Shao Cheh Joyce Hsu, Gan, Benjamin, Jin Lee, Shu Hui Sheryl Lim, Xie Yan Jeremy Lim, Thomas Menkhoff, Si Xian Sherman Tan, Charles Jason Woodard, Qiu Cheng Yap

Research Collection School Of Computing and Information Systems

This paper reports experiences made at an Asian university in developing a social media platform based on Twitter in the context of a final year capstone project where information systems management students get an opportunity to solve ‘a real-world problem for a real client’. In this case study, the challenge was provided by a faculty member’s request for an interactive social media application which engages less outspoken students in class via a social medium they are familiar with: Twitter. We reconstruct the project’s evolution; describe the main features of the application called ‘TweetBoard’ and share lessons learned in developing a …

Domain Identification For Intention Posts On Online Social Media, Thai Le Luong, Quoc Tuan Truong, Hai-Trieu Dang, Xuan Hieu Phan

Research Collection School Of Computing and Information Systems

Today, more and more Internet users are willing to share their feeling, activities, and even their intention about what they plan to do on online social media. We can easily see posts like "I plan to buy an apartment this year", or "We are looking for a tour for 3 people to Nha Trang" on online forums or social networks. Recognizing those user intents on online social media is really useful for targeted advertising. However fully understanding user intents is a complicated and challenging process which includes three major stages: user intent filtering, intent domain identification, and intent parsing and …

Hashtag Recommendation With Topical Attention-Based Lstm, Yang Li, Ting Liu, Jing Jiang, Liang Zhang

Research Collection School Of Computing and Information Systems

Microblogging services allow users to create hashtags to categorize their posts. In recent years,the task of recommending hashtags for microblogs has been given increasing attention. However,most of existing methods depend on hand-crafted features. Motivated by the successful use oflong short-term memory (LSTM) for many natural language processing tasks, in this paper, weadopt LSTM to learn the representation of a microblog post. Observing that hashtags indicatethe primary topics of microblog posts, we propose a novel attention-based LSTM model whichincorporates topic modeling into the LSTM architecture through an attention mechanism. Weevaluate our model using a large real-world dataset. Experimental results show that …

From Footprint To Evidence: An Exploratory Study Of Mining Social Data For Credit Scoring, Guangming Guo, Feida Zhu, Enhong Chen, Qi Liu, Le Wu, Chu Guan

Research Collection School Of Computing and Information Systems

With the booming popularity of online social networks like Twitter and Weibo, online user footprints are accumulating rapidly on the social web. Simultaneously, the question of how to leverage the large-scale user-generated social media data for personal credit scoring comes into the sight of both researchers and practitioners. It has also become a topic of great importance and growing interest in the P2P lending industry. However, compared with traditional financial data, heterogeneous social data presents both opportunities and challenges for personal credit scoring. In this article, we seek a deep understanding of how to learn users’ credit labels from social …

Towards A Computational Model Of Frame Of Reference Alignment In Swedish Dialogue, Simon Dobnik, Christine Howes, Kim Demaret, John D. Kelleher

Conference papers

In this paper we examine how people negotiate, interpret and repair the frame of reference (FoR) in online text based dialogues discussing spatial scenes in Swedish. We describe work-in-progress in which participants are given different perspectives of the same scene and asked to locate several objects that are only shown on one of their pictures. This task requires participants to coordinate on FoR in order to identify the missing objects. This study has implications for situated dialogue systems.

On The Promotion Of The Social Web Intelligence, Taraneh Khazaei

Electronic Thesis and Dissertation Repository

Given the ever-growing information generated through various online social outlets, analytical research on social media has intensified in the past few years from all walks of life. In particular, works on social Web intelligence foster and benefit from the wisdom of the crowds and attempt to derive actionable information from such data. In the form of collective intelligence, crowds gather together and contribute to solving problems that may be difficult or impossible to solve by individuals and single computers. In addition, the consumer insight revealed from social footprints can be leveraged to build powerful business intelligence tools, enabling efficient and …

Media Reinvented, Geoff Tan

Asian Management Insights

The brave new world of digital media.

Spiteful, One-Off, And Kind: Predicting Customer Feedback Behavior On Twitter, Agus Sulistya, Abhishek Sharma, David Lo

Research Collection School Of Computing and Information Systems

Social media provides a convenient way for customers to express their feedback to companies. Identifying different types of customers based on their feedback behavior can help companies to maintain their customers. In this paper, we use a machine learning approach to predict a customer’s feedback behavior based on her first feedback tweet. First, we identify a few categories of customers based on their feedback frequency and the sentiment of the feedback. We identify three main categories: spiteful, one-off, and kind. Next, we build a model to predict the category of a customer given her first feedback. We use profile and …

On Profiling Bots In Social Media, Richard J. Oentaryo, Arinto Murdopo, Philips K. Prasetyo, Ee Peng Lim

Research Collection School Of Computing and Information Systems

The popularity of social media platforms such as Twitter has led to the proliferation of automated bots, creating both opportunities and challenges in information dissemination, user engagements, and quality of services. Past works on profiling bots had been focused largely on malicious bots, with the assumption that these bots should be removed. In this work, however, we find many bots that are benign, and propose a new, broader categorization of bots based on their behaviors. This includes broadcast, consumption, and spam bots. To facilitate comprehensive analyses of bots and how they compare to human accounts, we develop a systematic profiling …

Analysis Of The Mobile Market In 2014 In Macedonia, Recommendations For Better Development And Improved Quality Of Mobile Services, Arsov Boris, Trajkovski Vasko

UBT International Conference

In order to regulate the electronic communications market in a systematic way, the Agency for Electronic Communications, as a regulatory body in the field of electronic communications, has strongly set issues and targets to be achieved. The Agency has guidelines how to achieve the issues of a competitive market where conditions for using the electronic communications services with best quality and best prices are going to be created for the end users.

A Summary Of Classification And Regression Tree With Application, Adem Meta

UBT International Conference

Classification and regression tree (CART) is a non-parametric methodology that was introduced first by Breiman and colleagues in 1984. CART is a technique which divides populations into meaningful subgroups that allows the identification of groups of interest. CART as a classification method constructs decision trees. Depending on information that is available about the dataset, a classification tree or a regression tree can be constructed. The first part of this paper describes the fundamental principles of tree construction, pruning procedure and different splitting algorithms. The second part of the paper answers the questions why or why not the CART method should …

Introduction To Ships Satellite Tracking Systems, Dimov Stojce Ilcev

UBT International Conference

This paper introduces the current and new Satellite solutions for local and global tracking of ships for enhanced Ship Traffic Control (STC) and Ship Traffic Management (STM) at sea, in sea passages, approaching to the anchorages and inside of seaports. All transportation systems and especially for maritime applications require far more sophisticated technology solutions and equipment for modern Satellite ship tracking than current standalone the US GPS or Russian GLONAS positioning systems. The existing and forthcoming Global Ship Tracking (GST), Satellite Data Link (SDL) and Local Ship Tracking (LST) systems with Space and Ground Segment infrastructures for all three systems …

Descriptive Analysis Of Characteristics: A Case Study Of A Phone Call Network Graph, Orgeta Gjermëni, Miftar Ramosaco

UBT International Conference

Nowadays, systematic collection of data has necessitated a detailed statistical analysis as a necessary tool to make a mathematical characterization of them with the purpose of gathering information about the present or the future. Our aim in this paper is to analyze a landline phone call network graph from the perspective of descriptive analysis. We explore the characteristics and structural properties of the network graph constructed using an anonymous collection of data gathered from a Call Data Records of a telecommunication operator center located in south of Albania. The R statistical computing platform is used for network graph analysis.

Development Of Airships Stratospheric Platform Systems (Sps), Dimov Stojce Ilcev

UBT International Conference

In this paper are introduced airships as part of new Stratospheric Platform System (SPS) in function of space communications. Airships are the latest space techniques with advanced technology for fixed and all mobile applications, including military and rural solutions. This SPS employ unmanned or manned, solar or fuel energy airships or aircraft carrying payloads with transponders and antennas. The airship SPS can be considered as a novel solution for providing communication and navigation services. The research and development of airships for putting the system in to practical use is ongoing in some countries. The remote controlled-solar powered airships or aircraft …

Cloud Computing And Enterprise Data Reliability, Luan Gashi

UBT International Conference

Cloud services offer many benefits from information and communication technology that to be credible must first be secured. To use the potential of cloud computing, data is transferred, processed and stored in the infrastructures of these service providers. This indicates that the owners of data, particularly enterprises, have puzzled when storing their data is done outside the scope of their control.

Research conducted on this topic show how this should be addressed unequivocally. The provided information on the organization of cloud computing models, services and standards, with a focus on security aspects in protecting enterprise data where emphasis shows how …

Improving Non-Native English Students’ Communicative Competence And Collaboration Skills Through Virtual Simulations, Alisa Sadiku

UBT International Conference

Knowing how to communicate in the target language is the main goal of most language learners. Furthermore, it is very challenging for teachers to bring real world communication experiences in classroom settings where English is not the native language. Hence, in this paper I explore the role of virtual simulations in promoting communicational and collaboration opportunities to non-native speakers of English. In my research, I describe how virtual worlds improve communicative and collaborative skills of non-native speakers of English. Moreover, I investigate how virtual worlds can create a learner centered environment where students take control of their own language production. …

Generalization Of Strong Convergence Theorem In Cat(0) Spaces, Alba Troci

UBT International Conference

The aim of this paper is to give the generalization condition of T-Ciric quasi contractive mapping. Also to study the generalization of strong convergence theorem of modified S-iteration process for Ciric quasi contractive operator in the framework of CAT(0) spaces based on new generalized condition for T-Ciric quasi contractive mapping. Our results extend and generalize many known results from the previous work given in the existing literature (see [1,6]).

Security Analysis Of Wireless Ban In E-Health, Romina Muka, Sule Yildrim-Yayilgan, Kozeta Sevrani

UBT International Conference

The Wireless Body Area Network (WBAN) has gained popularity as a new technology for e-Health, and is considered as one of the key research areas in computer science and healthcare applications. WBAN collects patients’ data, monitors constantly their physiological parameters, using small implantable or wearable sensors, and communicates these data using wireless communication techniques in short range. WBAN is playing a huge role in improving the quality of healthcare. Still, due to sensitive and concurrent nature of e-Heath systems, current research has showed that designers must take into considerations the security and privacy protection of the data collected by a …

Circuit Design For Green Communications – Methods, Tools And Examples, Galia Marinova, Zdravka Tchobanova

UBT International Conference

The paper makes an overview of the existing methods applied for circuit design with low power consumption objective. It considers Computer-Aided Design (CAD) tools and modules for power consumption estimation at the design stage. For analog and mixed analog-digital circuit design, the power estimation options in ORCAD Design Suit with PSpice and Analog Filter Wizard are studied. For digital communication systems the study covers the power estimation, analysis and optimization in ISE and Vivado systems, Xilinx Power Estimator (XPE) tool and spreadsheet, the XPower Analyzer, as well as similar tools proposed by ALTERA - PowerPlay Early Power Estimator and QUARTUS …

An Overview For Chaos Fractals And Applications, Adem Meta

UBT International Conference

The goal of this paper is to present, a summary of concepts from the Chaos and Fractals theory and some basic theory to understand how the Chaos and Fractal theory fundamentals work, for more to explain how is related the chaos theory with mathematics application. This paper will provide examples of how this new approach could be applied and how is chaos related to the Statistics. In this paper, I am going to introduce the concept of “fractal” dimension and some examples to calculate the dimensions. At the center of fractals is Mandelbrot set, otherwise is called the hard of …

Web Application Penetration Testing, Besnik Qehaja, Gazmend Krasniqi, Ardian Bajraliu, Amet Shabani

UBT International Conference

Safety of information is needed either in private sector or business for protection from market with competitive secrets or only for privacy. Advantages of internet and web applications is that they are accessible from everyone, but in business word data should be safe, reliable accessible. Although these are not new problems and always had different solutions to these problems, we always need to be on the cutting edge with new attacks that appear every day and to try to achieve a greater security. In this paper we present some of the most dangerous forms of risk which are risking web …

The Planet, 2016, Fall, Jesse Nichols, Huxley College Of The Environment, Western Washington University

The Planet

No abstract provided.

Tracking Virality And Susceptibility In Social Media, Tuan Anh Hoang, Ee-Peng Lim

Research Collection School Of Computing and Information Systems

In social media, the magnitude of information propagation hinges on the virality and susceptibility of users spreading and receiving the information respectively, as well as the virality of information items. These users' and items' behavioral factors evolve dynamically at the same time interacting with one another. Previous works however measure the factors statically and independently in a restricted case: each user has only a single adoption on each item, and/or users' exposure to items are observable. In this work, we investigate the inter-relationship among the factors and users' multiple adoptions on items to propose both new static and temporal models …

Solid Waste Management Of Disposable Diaper Sanitation And The Connection To Environmental Awareness For Women In Zanzibar, Micalea Leaska

Independent Study Project (ISP) Collection

This project examined the solid waste management of disposable diapers in three locations, Stone Town, Mangapwani and Vikokotoni, within Zanzibar, Tanzania. Its methods included field observations of the solid waste disposal system in Zanzibar and interviews with women about their rationales for buying and using disposable diapers. For one of the first times, the data collected during this project will further assist to educate women about the benefits of cloth diapers and the negative effects disposable diapers create for Zanzibari families and the environment. This study has observed one of the most growing concerns regarding excess solid waste contributing to …

Realizing Urban Water Pollution Impact In Melbourne, Australia Through Painting, Gregory Suplinskas

Independent Study Project (ISP) Collection

Throughout the month of November 2016, I undertook a creative environmental art project in Melbourne, Australia. I chose to create a water-soluble oil painting (dimensions 3 ft. x 4 ft.) that represents water pollution problems in the city of Melbourne, particularly in Port Phillip Bay. These problems include toxic stormwater runoff, plastics pollution and plastic nurdles, as well as nutrient buildup and algal overgrowth. The painting includes messages regarding sustainability; sustainable action limits the use of our natural resources so that humans can preserve the environment for future generations rather than degrade it. In the painting, I combine conceptual and …

Data Visualizations And Infographics, Darren Sweeper

Sprague Library Scholarship and Creative Works

No abstract provided.