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Articles 211 - 231 of 231
Full-Text Articles in Physical Sciences and Mathematics
A Genetic Optimization Approach For Isolating Translational Efficiency Bias, Douglas W. Raiford, Dan E. Krane, Travis E. Doom, Michael L. Raymer
A Genetic Optimization Approach For Isolating Translational Efficiency Bias, Douglas W. Raiford, Dan E. Krane, Travis E. Doom, Michael L. Raymer
Kno.e.sis Publications
The study of codon usage bias is an important research area that contributes to our understanding of molecular evolution, phylogenetic relationships, respiratory lifestyle, and other characteristics. Translational efficiency bias is perhaps the most well studied codon usage bias, as it is frequently utilized to predict relative protein expression levels. We present a novel approach to isolating translational efficiency bias in microbial genomes. There are several existent methods for isolating translational efficiency bias. Previous approaches are susceptible to the confounding influences of other potentially dominant biases. Additionally, existing approaches to identifying translational efficiency bias generally require both genomic sequence information and …
A Systematic Property Mapping Using Category Hierarchy And Data, Kalpa Gunaratna, Sarasi Lalithsena, Prateek Jain, Cory Andrew Henson, Amit P. Sheth
A Systematic Property Mapping Using Category Hierarchy And Data, Kalpa Gunaratna, Sarasi Lalithsena, Prateek Jain, Cory Andrew Henson, Amit P. Sheth
Kno.e.sis Publications
Relationships play a key role in Semantic Web to connect the dots between entities (concepts or instances in a way that enables to absorb the real sense of the entities. Even though relationships are important, it is difficult to categorize or identify them because they consist of complex knowledge in the schema. Therefore systematically identifying relationships yield many advantages and open doors for new research avenues. In this work, we try to identify a specific type of relationship (part of) in a multi-domain dataset and devised an algorithm using Wikipedia to identify patterns of part of relationships in the dataset. …
Reconciling Owl And Rules, David Carral Martinez, Adila A. Krisnadhi, Frederick Maier, Kunal Sengupta, Pascal Hitzler
Reconciling Owl And Rules, David Carral Martinez, Adila A. Krisnadhi, Frederick Maier, Kunal Sengupta, Pascal Hitzler
Computer Science and Engineering Faculty Publications
We report on a recent advance in integrating Rules and OWL. We discuss a recent proposal, known as nominal schemas, which realizes a seamless integration of Datalog rules into the description logic SROIQ which underlies OWL 2 DL. We present extensions of the standardized OWL syntaxes to incorporate nominal schemas, reasoning algorithms, and a first naive implementation. And we argue why this approach goes a long way towards overcoming the present paradigm split.
Cs 206-01: Computer Software Productivity Tools, John P. Herzog
Cs 206-01: Computer Software Productivity Tools, John P. Herzog
Computer Science & Engineering Syllabi
Focus on learning MS Office software applications including advanced topics in spreadsheets, database and presentation graphics, using a case study approach where critical thinking and problem solving skills are required. Computer concepts are integrated throughout the course to provide an understanding of advanced computing, the latest technological advances and how they are used in industry. Ethics and issues encountered in business are discussed to challenge students on societal impact of technology.
Cs 142-01: Computer Programming Ii, Vanessa Starkey
Cs 142-01: Computer Programming Ii, Vanessa Starkey
Computer Science & Engineering Syllabi
Concepts introduced in CS 141 are developed in greater detail and depth.
Emphasis on verification and testing of programs. Three hours of lecture, two hours lab.
Cs 707-01: Information Retrieval, Krishnaprasad Thirunarayan
Cs 707-01: Information Retrieval, Krishnaprasad Thirunarayan
Computer Science & Engineering Syllabi
This course will cover models for information retrieval, techniques for indexing and searching, and algorithms for classification and clustering. It will also cover SVM, latent semantic indexing, link analysis and ranking, Map-Reduce architecture and Hadoop, to different degrees of detail, time permitting.
Cs 499/699-01: Logic For Computer Scientists, Pascal Hitzler
Cs 499/699-01: Logic For Computer Scientists, Pascal Hitzler
Computer Science & Engineering Syllabi
Logic is often called the Calculus of Computer Science. Indeed, logic permeates most areas of Computer Science in one way or the other, sometimes more prominently, and sometimes as motivational or formal underpinning. Examples are database schema, program verification, semantics of programming languages, computer security, artificial intelligence, cognitive robotics, Web information systems, computer hardware circuitry, or modeling in software engineering.
Cs 499/699-01: Computer Programming For Scientific, Michael L. Raymer
Cs 499/699-01: Computer Programming For Scientific, Michael L. Raymer
Computer Science & Engineering Syllabi
No abstract provided.
Cs 340-01: Programming Language Workshop In C#, Krishnaprasad Thirunarayan
Cs 340-01: Programming Language Workshop In C#, Krishnaprasad Thirunarayan
Computer Science & Engineering Syllabi
This course is designed as a self-study in C#. You are expected to learn the language and solve a set of programming problems assigned to you using MS Visual Studio .NET. There are no exams. We officially meet only once in the quarter.
Cs 209-01: Computer Programming For Business Ii, Dennis Kellermeier
Cs 209-01: Computer Programming For Business Ii, Dennis Kellermeier
Computer Science & Engineering Syllabi
CS 209 Is the second of a two quarter sequence in programming for business students. It is required for Management Information Science majors. The courses are designed to help students achieve a high degree of facility in intermediate level programming.
Ceg 498: Design Experience, Thomas C. Hartrum
Ceg 498: Design Experience, Thomas C. Hartrum
Computer Science & Engineering Syllabi
CEG 498 (Design Experience) is a summative computer engineering design project course that builds upon previous engineering, science, mathematics and communications course work. CEG 498 projects are a minimum of two quarters in length and must be completed in groups of at least three students. Projects are selected under the guidance of the course instructor and are tailored to both student interest and formal classroom preparation. Students are evaluated both on their individual contributions as recorded in a graded engineering journal and on the quality of their collective efforts as reflected in g10up generated products.
Ceg 433/633: Operating Systems, Thomas Wischgoll
Ceg 433/633: Operating Systems, Thomas Wischgoll
Computer Science & Engineering Syllabi
The purpose of the class is for everyone to understand the issues involved with the management of resources in multi-user computer systems. Emphasis is on problems of file-system design, process scheduling, memory allocation, protection, and tools needed for solutions. Course projects use the C/C++ language and include the design of portions of an operating system.
Ceg 411/611: Microprocessor-Based System Design, Jack Jean
Ceg 411/611: Microprocessor-Based System Design, Jack Jean
Computer Science & Engineering Syllabi
No abstract provided.
Ceg 404/604: Wireless Sensor Networks, Bin Wang
Ceg 404/604: Wireless Sensor Networks, Bin Wang
Computer Science & Engineering Syllabi
In this course we will provide an introduction to Wireless Sensor Networks (WSN) and cover latest topics in WSNs. The goal of this course is to give an overview of fundamental problems in the area of WSNs. We will discuss existing solutions for some of these problems.
Ceg 402/602: Introduction To Computer Communication, Bin Wang
Ceg 402/602: Introduction To Computer Communication, Bin Wang
Computer Science & Engineering Syllabi
This course provides an introduction to basic concepts of communication networks, different types of networks, protocols over different layers, and network applications through lectures, labs, homework, and reading on relevant materials.
Contextual Ontology Alignment Of Lod With An Upper Ontology: A Case Study With Proton, Prateek Jain, Peter Z. Yeh, Kunal Verma, Reymonrod G. Vasquez, Mariana Darnorva, Pascal Hitzler, Amit P. Sheth
Contextual Ontology Alignment Of Lod With An Upper Ontology: A Case Study With Proton, Prateek Jain, Peter Z. Yeh, Kunal Verma, Reymonrod G. Vasquez, Mariana Darnorva, Pascal Hitzler, Amit P. Sheth
Kno.e.sis Publications
The Linked Open Data (LOD) is a major milestone towards realizing the Semantic Web vision, and can enable applications such as robust Question Answering (QA) systems that can answer queries requiring multiple, disparate information sources. However, realizing these applications requires relationships at both the schema and instance level, but currently the LOD only provides relationships for the latter. To address this limitation, we present a solution for automatically finding schema-level links between two LOD ontologies – in the sense of ontology alignment. Our solution, called BLOOMS+, extends our previous solution (i.e. BLOOMS) in two significant ways. BLOOMS+ 1) uses a …
Cloudvista: Visual Cluster Exploration For Extreme Scale Data In The Could, Keke Chen, Huiqi Xi, Fengguang Tian, Shumin Guo
Cloudvista: Visual Cluster Exploration For Extreme Scale Data In The Could, Keke Chen, Huiqi Xi, Fengguang Tian, Shumin Guo
Kno.e.sis Publications
The problem of efficient and high-quality clustering of extreme scale datasets with complex clustering structures continues to be one of the most challenging data analysis problems. An innovate use of data cloud would provide unique opportunity to address this challenge. In this paper, we propose the CloudVista framework to address (1) the problems caused by using sampling in the existing approaches and (2) the problems with the latency caused by cloud-side processing on interactive cluster visualization. The CloudVista framework aims to explore the entire large data stored in the cloud with the help of the data structure visual frame and …
Citizen Sensor Data Mining, Social Media Analytics And Development Centric Web Applications, Meenakshi Nagarajan, Amit P. Sheth, Selvam Velmuru
Citizen Sensor Data Mining, Social Media Analytics And Development Centric Web Applications, Meenakshi Nagarajan, Amit P. Sheth, Selvam Velmuru
Kno.e.sis Publications
With the rapid rise in the popularity of social media (500M+ Facebook users, 100M+ twitter users), and near ubiquitous mobile access (4.1 billion actively-used mobile phones), the sharing of observations and opinions has become common-place (nearly 100M tweets a day, 1.8 trillion SMSs in US last year). This has given us an unprecedented access to the pulse of a populace and the ability to perform analytics on social data to support a variety of socially intelligent applications -- be it towards targeted online content delivery, crisis management, organizing revolutions or promoting social development in underdeveloped and developing countries. This tutorial …
Semantic Social Mashup Approach For Designing Citizen Diplomacy, Amit P. Sheth
Semantic Social Mashup Approach For Designing Citizen Diplomacy, Amit P. Sheth
Kno.e.sis Publications
Advancement in technology has brought exceptional connectivity, easy and open access to communication mediums via Internet. Everyday millions of people are interactively communicating to each other and sharing multimedia content through Social Media/Networks, Web-based and mobile-based technologies. Social media provides variety of interesting, engaging applications such as Twitter, Facebook, YouTube, Flicker, Blogs. People interested in contributing to global welfare and improving humanity are connected to various NGO's like Red Cross, Ushahidi (www.ushahidi.com), eMoksha (emoksha.org), etc. Social media and NGOs are acting as an excellent medium of communication and sharing, connected diverse people irrespective of their nationality, religion, culture, etc. Social …
Demonstration: Real-Time Semantic Analysis Of Sensor Streams, Harshal Kamlesh Patni, Cory Andrew Henson, Michael Cooney, Amit P. Sheth, Krishnaprasad Thirunarayan
Demonstration: Real-Time Semantic Analysis Of Sensor Streams, Harshal Kamlesh Patni, Cory Andrew Henson, Michael Cooney, Amit P. Sheth, Krishnaprasad Thirunarayan
Kno.e.sis Publications
The emergence of dynamic information sources - including sensor networks - has led to large streams of real-time data on the Web. Research studies suggest, these dynamic networks have created more data in the last three years than in the entire history of civilization, and this trend will only increase in the coming years. With this coming data explosion, real-time analytics software must either adapt or die. This paper focuses on the task of integrating and analyzing multiple heterogeneous streams of sensor data with the goal of creating meaningful abstractions, or features. These features are then temporally aggregated into feature …
The Cloud Agnostic E-Science Analysis Platform, Ajith Harshana Ranabahu, Paul E. Anderson, Amit P. Sheth
The Cloud Agnostic E-Science Analysis Platform, Ajith Harshana Ranabahu, Paul E. Anderson, Amit P. Sheth
Kno.e.sis Publications
The amount of data being generated for e-Science domains has grown exponentially in the past decade, yet the adoption of new computational techniques in these fields hasn't seen similar improvements. The presented platform can exploit the power of cloud computing while providing abstractions for scientists to create highly scalable data processing workflows.