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Sinr Constrained Beamforming For A Mimo Multi-User Downlink System: Algorithms And Convergence Analysis, Oingjang Shi, Meisam Razaviyayn, Mingyi Hong, Zhi-Quan Luo 2017 Zhejiang University

Sinr Constrained Beamforming For A Mimo Multi-User Downlink System: Algorithms And Convergence Analysis, Oingjang Shi, Meisam Razaviyayn, Mingyi Hong, Zhi-Quan Luo

Mingyi Hong

Consider a multiple-input multiple-output (MIMO) downlink multi-user channel. A well-studied problem in such a system is the design of linear beamformers for power minimization with the quality of service (QoS) constraints. The most representative algorithms for solving this class of problems are the so-called minimum mean square error (MMSE)-second-order cone programming (SOCP) algorithm [Visotksy and Madhow, “Optimum Beamforming Using Transmit Antenna Arrays,” Proc. IEEE Veh. Technol. Conf., May 1999, vol. 1, pp. 851-856] , [Wong, Zheng, and Ng, “Convergence Analysis of Downlink MIMO Antenna System Using Second-Order Cone Programming,” Proc. 62nd IEEE Veh. Technol. Conf., Sep. 2005, pp. 492-496] and ...


A Unified Algorithmic Framework For Block-Structured Optimization Involving Big Data: With Applications In Machine Learning And Signal Processing, Mingyi Hong, Meisam Razaviyayn, Zhi-Quan Luo 2017 Iowa State University

A Unified Algorithmic Framework For Block-Structured Optimization Involving Big Data: With Applications In Machine Learning And Signal Processing, Mingyi Hong, Meisam Razaviyayn, Zhi-Quan Luo

Mingyi Hong

This article presents a powerful algorithmic framework for big data optimization, called the block successive upper-bound minimization (BSUM). The BSUM includes as special cases many well-known methods for analyzing massive data sets, such as the block coordinate descent (BCD) method, the convex-concave procedure (CCCP) method, the block coordinate proximal gradient (BCPG) method, the nonnegative matrix factorization (NMF) method, the expectation maximization (EM) method, etc. In this article, various features and properties of the BSUM are discussed from the viewpoint of design flexibility, computational efficiency, parallel/distributed implementation, and the required communication overhead. Illustrative examples from networking, signal processing, and machine ...


Intelligent Web Crawler For Semantic Search Engine, Shujia Zhang 2017 San Jose State University

Intelligent Web Crawler For Semantic Search Engine, Shujia Zhang

Master's Projects

A Semantic Search Engine (SSE) is a program that produces semantic-oriented concepts from the Internet. A web crawler is the front end of our SSE; its primary goal is to supply important and necessary information to the data analysis component of SSE. The main function of the analysis component is to produce the concepts (moderately frequent finite sequences of keywords) from the input; it uses some variants of TF-IDF as a primary tool to remove stop words. However, it is a very expensive way to filter out stop words using the idea of TF-IDF. The goal of this project is ...


Using An Online Tutorial To Teach Rea Data Modeling In Accounting Information Systems Courses, Poh Sun SEOW, PAN, Gary 2017 Singapore Management University

Using An Online Tutorial To Teach Rea Data Modeling In Accounting Information Systems Courses, Poh Sun Seow, Pan, Gary

Research Collection School Of Accountancy

Online learning has been gaining widespread adoption due to its successin enhancing student-learning outcomes and improving student t academicperformance. This paper describes an online tutorial to teach resource-event-agent(REA) data modeling in an undergraduate accounting information systems course.The REA online tutorial reflects a self-study application designed to helpstudents improve their understanding of the REA data model. As such, thetutorial acts as a supplement to lectures by reinforcing the concepts andincorporating practices to assess student understanding. Instructors can accessthe REA online tutorial at http://smu.asg/rea. An independent survey by the University’sCentre for Teaching Excellence found a significant ...


Soal: Second-Order Online Active Learning, Shuji HAO, Peilin ZHAO, LU JING, HOI, Steven C. H., Chunyan MIAO, Chi ZHANG 2017 Singapore Management University

Soal: Second-Order Online Active Learning, Shuji Hao, Peilin Zhao, Lu Jing, Hoi, Steven C. H., Chunyan Miao, Chi Zhang

Research Collection School Of Information Systems

This paper investigates the problem of online activelearning for training classification models from sequentiallyarriving data. This is more challenging than conventional onlinelearning tasks since the learner not only needs to figure outhow to effectively update the classifier but also needs to decidewhen is the best time to query the label of an incoming instancegiven limited label budget. The existing online active learningapproaches are often based on first-order online learning methodswhich generally fall short in slow convergence rate and suboptimalexploitation of available information when queryingthe labeled data. To overcome the limitations, in this paper,we present a new framework of Second-order ...


The University Of South Florida Tampa Library Supports The Collaborative Multi-Modal Data Research Project, Richard R. Bernardy Jr. 2017 University of South Florida

The University Of South Florida Tampa Library Supports The Collaborative Multi-Modal Data Research Project, Richard R. Bernardy Jr.

Richard R. Bernardy, Jr.

An informal project report from my perspective. The project team created a new digital collection including sub-collections from the research data/output. I created a custom interface to run within the repository software interface.


Assessing Differences Between Physician's Realized And Anticipated Gains From Electronic Health Record Adoption, Lori T. Peterson, Eric W. Ford, John Eberhardt, T. R. Huerta 2017 Cleveland State University

Assessing Differences Between Physician's Realized And Anticipated Gains From Electronic Health Record Adoption, Lori T. Peterson, Eric W. Ford, John Eberhardt, T. R. Huerta

Lori Peterson

Return on investment (ROI) concerns related to Electronic Health Records (EHRs) are a major barrier to the technology’s adoption. Physicians generally rely upon early adopters to vet new technologies prior to putting them into widespread use. Therefore, early adopters’ experiences with EHRs play a major role in determining future adoption patterns. The paper’s purposes are: (1) to map the EHR value streams that define the ROI calculation; and (2) to compare Current Users’ and Intended Adopters’ perceived value streams to identify similarities, differences and governing constructs. Primary data was collected by the Texas Medical Association, which surveyed 1 ...


Let’S Try Something New: Service Learning In Boise State's Computer Science Department, Daniel Kondratyuk 2017 Boise State University

Let’S Try Something New: Service Learning In Boise State's Computer Science Department, Daniel Kondratyuk

International Journal of Undergraduate Community Engagement

In this article I explain how a group of Computer Science students at Boise State University participated in a new service learning project. I provide a few testimonials on the students’ experiences and describe the rewarding aspects of service learning in the greater Computer Science community.


Strategies Hospital Leaders Use In Implementing Electronic Medical Record Systems, Shaunette Miller 2017 Walden University

Strategies Hospital Leaders Use In Implementing Electronic Medical Record Systems, Shaunette Miller

Walden Dissertations and Doctoral Studies

Some hospital leaders lacked strategies for implementing electronic medical record (EMR) systems. The purpose of this case study was to explore successful strategies that hospital leaders used in implementing EMR systems. The target population consisted of hospital leaders who succeeded in implementing EMR systems in a single healthcare organization located in the Los Angeles, California region. The conceptual framework used was Kotter's (1996) eight-step process for leading change, and data were collected from face-to-face recorded interviews with 5 participants and from company documents related to EMR design and development. Data were analyzed through methodological triangulation of data types, and ...


Health Portal Functionality And The Use Of Patient-Centered Technology, Anita Joyce Simmons 2017 Walden University

Health Portal Functionality And The Use Of Patient-Centered Technology, Anita Joyce Simmons

Walden Dissertations and Doctoral Studies

Health portals are dedicated web pages for medical practices to provide patients access to their electronic health records. The problem identified in this quality improvement project was that the health portal in the urgent care setting had not been available to staff nor patients. To provide leadership with information related to opening the portal, the first purpose of the project was to assess staff and patients' perceived use, ease of use, attitude toward using, and intention to use the portal. The second purpose was to evaluate the portal education materials for the top 5 urgent care diagnoses: diabetes, hypertension, asthma ...


Educating Nurses On Workflow Changes From Electronic Health Record Adoption, Rhoda Lynn Atienza San Jose 2017 Walden University

Educating Nurses On Workflow Changes From Electronic Health Record Adoption, Rhoda Lynn Atienza San Jose

Walden Dissertations and Doctoral Studies

Workflow issues related to adoption of the electronic health record (EHR) has led to unsafe workarounds, decreased productivity, inefficient clinical documentation and slow rates of EHR adoption. The problem addressed in this quality improvement project was nurses' lack of knowledge about workflow changes due to EHR adoption. The purpose of this project was to identify changes in workflow and to develop an educational module to communicate the changes. This project was guided by both the ADDIE model (analysis, design, development, implementation, and evaluation) and the diffusion of innovations theory. Five stages were involved: process mapping, cognitive walkthrough, eLearning module development ...


Overcoming The Adverse Impact Of Internal Subculture Communications Within Organizations, Terrence Lee Farrier 2017 Walden University

Overcoming The Adverse Impact Of Internal Subculture Communications Within Organizations, Terrence Lee Farrier

Walden Dissertations and Doctoral Studies

The need for clear and organizationally effective communications is necessary to maintain sustainability as competition increases. Current research has not addressed problems associated with senior managers' clarity and intent and the misinterpretation by midlevel managers of that intent, causing division managers to misinterpret the company plans. Unresolved miscommunications may lead to destructive subculture development. This mixed methods design focused on how to minimize the confusion that manifests between senior and midlevel management within diverse and decentralized decision support structures. The secondary purpose was to advocate for the identification of divisional misalignment and provide information for a tool to help senior ...


Strategies For U.S. City Government Enterprise Resource Planning System Implementation Success, Jennifer Miller 2017 Walden University

Strategies For U.S. City Government Enterprise Resource Planning System Implementation Success, Jennifer Miller

Walden Dissertations and Doctoral Studies

Strategies for enterprise resource planning (ERP) system implementation success have been a focus of scholars since the 1990s. Researchers have demonstrated that ERP system implementation could cause both system failures and organization failures, affecting both operations and stakeholders. The theory of constraints was the conceptual framework for this single qualitative case study that explored ERP system critical success factors (CSFs) and strategies U.S. city governments use to successfully implement ERP systems. One city government in New Mexico with a successful ERP system served as the case study's population. Data were collected from semistructured interviews and relevant documents and ...


Easing Cross-Border Communication: Mobile-Mediated Communication And Its Framework, Kyungsub CHOI, Young Soo KIM 2017 Singapore Management University

Easing Cross-Border Communication: Mobile-Mediated Communication And Its Framework, Kyungsub Choi, Young Soo Kim

Research Collection School Of Information Systems

Communication is probably the most critical component of anorganization engaged in a crossborder collaboration. Today’s smart devicessubstantially contribute to such communication. Combined with social media,mobile communication technologies are becoming the main platform for many corefunctions within organizations. In this paper, we identified seven mediaidentifiable attributes: synchronicity (SYN), de-individuation and co-presence(DCP), accessibility readiness (ARD), cognizance of environment change (CEC),wearability-portability (WRB) modality-select (MDS) and visibility (VSB). Theseseven attributes significantly impact the course of mobile-mediatedcommunication. We believe that development of a theoretical perspective thatembraces the complexity of mobile-mediated communication is due in order tofully comprehend the mobile ecosystem that ...


Prestructuring Neural Networks Via Extended Dependency Analysis With Application To Pattern Classification, George G. Lendaris, Thaddeus T. Shannon, Martin Zwick 2016 Portland State University

Prestructuring Neural Networks Via Extended Dependency Analysis With Application To Pattern Classification, George G. Lendaris, Thaddeus T. Shannon, Martin Zwick

Martin Zwick

We consider the problem of matching domain-specific statistical structure to neural-network (NN) architecture. In past work we have considered this problem in the function approximation context; here we consider the pattern classification context. General Systems Methodology tools for finding problem-domain structure suffer exponential scaling of computation with respect to the number of variables considered. Therefore we introduce the use of Extended Dependency Analysis (EDA), which scales only polynomially in the number of variables, for the desired analysis. Based on EDA, we demonstrate a number of NN pre-structuring techniques applicable for building neural classifiers. An example is provided in which EDA ...


Deep Data Analysis On The Web, Xuanyu Liu 2016 San Jose State University

Deep Data Analysis On The Web, Xuanyu Liu

Master's Projects

Search engines are well known to people all over the world. People prefer to use keywords searching to open websites or retrieve information rather than type typical URLs. Therefore, collecting finite sequences of keywords that represent important concepts within a set of authors is important, in other words, we need knowledge mining. We use a simplicial concept method to speed up concept mining. Previous CS 298 project has studied this approach under Dr. Lin. This method is very fast, for example, to mine the concept, FP-growth takes 876 seconds from a database with 1257 columns 65k rows, simplicial complex only ...


Handling Relationships In A Wiki System, Yashi Kamboj 2016 San Jose State University

Handling Relationships In A Wiki System, Yashi Kamboj

Master's Projects

Wiki software enables users to manage content on the web, and create or edit web pages freely. Most wiki systems support the creation of hyperlinks on pages and have a simple text syntax for page formatting. A common, more advanced feature is to allow pages to be grouped together as categories. Currently, wiki systems support categorization of pages in a very traditional way by specifying whether a wiki page belongs to a category or not. Categorization represents unary relationship and is not sufficient to represent n-ary relationships, those involving links between multiple wiki pages.

In this project, we extend Yioop ...


Predicting User's Future Requests Using Frequent Patterns, Marc Nipuna Dominic Savio 2016 San Jose State University

Predicting User's Future Requests Using Frequent Patterns, Marc Nipuna Dominic Savio

Master's Projects

In this research, we predict User's Future Request using Data Mining Algorithm. Usage of the World Wide Web has resulted in a huge amount of data and handling of this data is getting hard day by day. All this data is stored as Web Logs and each web log is stored in a different format with different Field names like search string, URL with its corresponding timestamp, User ID’s that helps for session identification, Status code, etc. Whenever a user requests for a URL there is a delay in getting the page requested and sometimes the request is ...


Web-Based Integrated Development Environment, Hien T. Vu 2016 San Jose State University

Web-Based Integrated Development Environment, Hien T. Vu

Master's Projects

As tablets become more powerful and more economical, students are attracted to them and are moving away from desktops and laptops. Their compact size and easy to use Graphical User Interface (GUI) reduce the learning and adoption barriers for new users. This also changes the environment in which undergraduate Computer Science students learn how to program. Popular Integrated Development Environments (IDE) such as Eclipse and NetBeans require disk space for local installations as well as an external compiler. These requirements cannot be met by current tablets and thus drive the need for a web-based IDE. There are also many other ...


Faculty Speakers: Strategic Search….To Google And Beyond!, Virginia Tucker 2016 San Jose State University

Faculty Speakers: Strategic Search….To Google And Beyond!, Virginia Tucker

Virginia Tucker

On March 2nd, 2016, SJSU ASIS&T Student Chapter welcomed Dr. Virginia Tucker. Dr. Tucker discussed advanced search strategies, and how even highly accomplished students who are proficient searchers can find themselves frustrated or disappointed when needing to locate relevant scholarly articles for a research paper. Dr. Tucker addressed field restrictions, cited reference connections, and other search tips for using Google for academic research, as well as strategic methods to get the most out of resources available through most university library subscription databases.


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