Open Access. Powered by Scholars. Published by Universities.®
- Discipline
-
- Artificial Intelligence and Robotics (277)
- Other Computer Sciences (133)
- Information Security (117)
- Databases and Information Systems (89)
- Arts and Humanities (71)
-
- Art and Design (63)
- Game Design (56)
- Social and Behavioral Sciences (56)
- OS and Networks (45)
- Engineering (39)
- Graphics and Human Computer Interfaces (37)
- Software Engineering (36)
- Library and Information Science (33)
- Computer Engineering (29)
- Programming Languages and Compilers (26)
- Theory and Algorithms (23)
- Systems Architecture (22)
- Public Affairs, Public Policy and Public Administration (16)
- Data Science (15)
- Transportation (15)
- Life Sciences (13)
- Education (9)
- Scholarly Communication (9)
- Bioinformatics (8)
- Mathematics (8)
- Collection Development and Management (7)
- Communication (7)
- Data Storage Systems (7)
- Keyword
-
- Machine Learning (29)
- Machine learning (29)
- Deep learning (18)
- Deep Learning (17)
- CNNs (11)
-
- Neural networks (11)
- Natural Language Processing (10)
- SVM (9)
- Video games (9)
- Artificial intelligence (7)
- CNN (7)
- Social networks (7)
- Bioinformatics (6)
- Classification (6)
- Community detection (6)
- Computer vision (6)
- Malware (6)
- Reinforcement Learning (6)
- Twitter (6)
- BERT (5)
- Blockchain (5)
- Computer Vision (5)
- Word2Vec (5)
- Academic Libraries (4)
- Applied Data Science (4)
- Artificial Intelligence (4)
- Artificial Intelligence (AI) (4)
- Convolutional Neural Network (4)
- Convolutional Neural Networks (4)
- Convolutional neural networks (4)
- Publication Year
- Publication
-
- Master's Projects (859)
- ART 108: Introduction to Games Studies (56)
- Faculty Publications (28)
- Faculty Publications, Computer Science (24)
- Library Philosophy and Practice (e-journal) (24)
-
- SWITCH (19)
- Mineta Transportation Institute (18)
- Faculty Research, Scholarly, and Creative Activity (9)
- Inaugural CSU IR Conference, 2015 (5)
- Master's Theses (4)
- Textbook Alternatives Project Posters 2014 (2)
- All Assignment Prompts (1)
- Assignment Prompts (1)
- Faculty Publications, Information Systems & Technology (1)
- Frankenstein @ 200: Student Posters (1)
- Promotional Materials (1)
- Publication Type
- File Type
Articles 901 - 930 of 1053
Full-Text Articles in Computer Sciences
Visualization Of Tree-Structured Data Through A Multi Touch User Interface, David Andrews
Visualization Of Tree-Structured Data Through A Multi Touch User Interface, David Andrews
Master's Projects
This writing project examines different types of visualizations for tree-structured data sets. Visualizations discussed include link-node diagrams and treemap diagrams. Also discussed is recent innovations with regards to distinguishing multi touch from single touch technology. I explore the requirements needed to build a multi touch table top surface, and describe the process of building one. I then describe my proposed method of visualizing tree-structured data and how it can be implemented using Core Animation technology. I also propose a means of interacting with the data through a multi touch interface, and discuss which gestures can be used to navigate the …
Client-Side Page Element Web-Caching, Ramya Karri
Client-Side Page Element Web-Caching, Ramya Karri
Master's Projects
When a user explores different web pages in a given website, the website typically sends the entire requested page even if only a portion of the page was different to the current page. That is, two pages on a given website might share elements on the page like search bar, left bar, navigation controls, advertisements, etc., but this information is retransmitted. Most of the users spent their time on the front-end while downloading all the components in the page. Nowadays, server-side caching of page elements is often done using tools like memcached. The aim of my project is to explore …
Total Recall For Ajax Applications – Firefox Extension, Smita Periyapatna
Total Recall For Ajax Applications – Firefox Extension, Smita Periyapatna
Master's Projects
Ajax, or AJAX (Asynchronous JavaScript and XML), is a group of interrelated web development techniques used to create interactive web applications or rich Internet applications[9]. Web applications can retrieve data from the server asynchronously in the background without interfering with the display and behavior of an existing web page. [9] One of the biggest problems with Ajax applications is saving state and accommodating the succession of the history controls, (Back/forward buttons). Ajax allows documents to become stateful, but when the user intuitively goes for the history controls in the browser window, things go wrong. The user expects to see the …
Distributed Port Scanning Detection, Himanshu Singh
Distributed Port Scanning Detection, Himanshu Singh
Master's Projects
Conventional Network Intrusion Detection System (NIDS) have heavyweight processing and memory requirements as they maintain per flow state using data structures like linked lists or trees. This is required for some specialized jobs such as Stateful Packet Inspection (SPI) where the network communications between entities are recreated in its entirety to inspect application level data. The downside to this approach is that the NIDS must be in a position to view all inbound and outbound traffic of the protected network. The NIDS can be overwhelmed by a DDoS attack since most of these try and exhaust the available state of …
Mrcraig: Mapreduce And Ensemble Classifiers For Parallelizing Data Classification Problems, Glenn Jahnke
Mrcraig: Mapreduce And Ensemble Classifiers For Parallelizing Data Classification Problems, Glenn Jahnke
Master's Projects
In this paper, a novel technique for parallelizing data-classification problems is applied to finding genes in sequences of DNA. The technique involves various ensem- ble classification methods such as Bagging and Select Best. It then distributes the classifier training and prediction using MapReduce. A novel sequence classification voting algorithm is evaluated in the Bagging method, as well as compared against the Select Best method.
Msg: A Gap-Oriented Genetic Algorithm For Multiple Sequence Alignment, Philip Heller
Msg: A Gap-Oriented Genetic Algorithm For Multiple Sequence Alignment, Philip Heller
Master's Projects
Traditional Multiple Sequence Alignment (MSA) Algorithms are deterministic. Genetic algorithms for protein MSA have been documented. However, these are not able to exceed in all cases the scores obtained by ClustalW, the freely available defacto standard. My solution, called “MSG”, places gaps rather than amino acids. The algorithm is multitribal, uses only a few very simple operators with adaptive frequencies, and jumpstarts one population from the ClustalW solution. Results are reported for 14 data sets, on all of which MSG exceeds the ClustalW score.
Hunting For Undetectable Metamorphic Viruses, Da Lin
Hunting For Undetectable Metamorphic Viruses, Da Lin
Master's Projects
Commercial anti-virus scanners are generally signature based, that is, they scan for known patterns to determine whether a file is infected by a virus or not. To evade signature-based detection, virus writers have adopted code obfuscation techniques to create highly metamorphic computer viruses. Since metamorphic viruses change their appearance from generation to generation, signature-based scanners cannot detect all instances of such viruses. To combat metamorphic viruses, detection tools based on statistical analysis have been studied. A tool based on hidden Markov models (HMMs) was previously developed and the results are encouraging—it has been shown that metamorphic viruses created by a …
Common Emotion Modeling In Distinct Medium Analysis And Matching, Amy Cho
Common Emotion Modeling In Distinct Medium Analysis And Matching, Amy Cho
Master's Projects
With the ever growing amount of digital information and multimedia on the World Wide Web and the current trend towards personalizing technology, users find themselves wanting a more intuitive way of finding related information, and not just any information but relevant information that is personal to them. One way to personalize and filter the information is by extracting the mood affectation, allowing the user to search based on current mood. The artificial intelligence field has done extensive research and continues to discover and improve current mood extraction techniques for each distinct medium. This paper will explore how to link and …
Improving Location Determination For Non-Gps Devices, Varun Sud
Improving Location Determination For Non-Gps Devices, Varun Sud
Master's Projects
Location awareness is one of the most important information that an individual looks for, both in an outdoor and indoor environment. One of the primary location determination techniques is the Global Positioning system, though this system provides a good accuracy in an outdoor environment, its accuracy decreases in densely populated areas and in an indoor environment a GPS system ceases to provide location information since the satellite signal cannot permeate through the roof and the walls. Various location estimation techniques have been proposed for location estimation in an indoor environment, some utilizing the signal strength of a wifi transmitter, while …
Analysis Of Machine Learning Based Methods For Identifying Microrna Precursors, Steve Ikeoka
Analysis Of Machine Learning Based Methods For Identifying Microrna Precursors, Steve Ikeoka
Master's Projects
MicroRNAs are a type of non-coding RNA that were discovered less than a decade ago but are now known to be incredibly important in regulating gene expression despite their small size. However, due to their small size, and several other limiting factors, experimental procedures have had limited success in discovering new microRNAs. Computational methods are therefore vital to discovering novel microRNAs. Many different approaches have been used to scan genomic sequences for novel microRNAs with varying degrees of success. This work provides an overview of these computational methods, focusing particularly on those methods based on machine learning techniques. The results …
Visualized Architecture Knowledge Management Collaboration Services, Ashish Kaul
Visualized Architecture Knowledge Management Collaboration Services, Ashish Kaul
Master's Projects
Software (system) architecture knowledge is a critical element in making effective design/ implementation decisions for Information Technology departments within companies. This knowledge can be codified and/ or personalized so as to harness the advantages and avoid the missed steps of implementers before us. In research of architecture knowledge enablement, there have been a few ventures, including but not limited to, Processcentric Architecture Knowledge Management Environment (PAKME) [3] and Architecture Design Decision Support System (ADDSS) [4]. In study of these ventures, we find modest attempts at focusing on dissecting types of architecture knowledge and enabling access to details through web tools. …
World Wide Web – Common Communication Language, Mohamed Ali
World Wide Web – Common Communication Language, Mohamed Ali
Master's Projects
The purpose for the World Wide Web – Common Communication Language (W3-CCL) is to allow internet users around the world communicate using a single common language. This common language is based on images / symbols and other known communication tactics such as Sign Language, Ancient Egyptian Language, etc. The W3- CCL is to be used in building sites’ contents, chatting, sending messages / e-mails, and any information sharing related operations on the internet. The scope of this project is limited to W3-CCL proof of concept via building an e-commerce website for a specific domain; moreover, the W3-CCL usage will be …
Hybrid Clustering With Application To Web Pages, Ameya Sabnis
Hybrid Clustering With Application To Web Pages, Ameya Sabnis
Master's Projects
This project explains the process of clustering web pages. With the immense increase in the number of web pages available on the internet, it has become difficult to search for web pages. The clustering of web pages will improve the presentation of web pages to the user and saves the time spent on searching web pages. Various clustering techniques have been proposed by various research scientists to cluster the web pages, but all the techniques suggested have some drawbacks. Since there is lot of scope for further improvement in the field of clustering, the system proposed in this report takes …
Wormulator: Simulator For Rapidly Spreading Malware, Jyotsna Krishnaswamy
Wormulator: Simulator For Rapidly Spreading Malware, Jyotsna Krishnaswamy
Master's Projects
This project addresses the need for an application level simulator to simulate Internet-wide phenomenon such as flash worms, botnets, Distributed Denial-of-Service attacks, etc. There are many network simulators intended for parallel and distributed simulation, but most are designed to simulate low level communication protocols such as TCP/IP. The desire to simulate rapidly spreading malware for research and teaching purposes lead us to explore the Spamulator, which was designed to simulate spam email on an Internet-wide scale. The Spamulator was developed by a team at the University of Calgary. It is a lightweight, application level simulator, which implements limited set of …
Automated Artice Generation Using The Web, Gaurang Patel
Automated Artice Generation Using The Web, Gaurang Patel
Master's Projects
An article generation application is an intelligent mining engine that looks for web content, then combines and organizes this content in a meaningful way to generate an article. This contrasts with a search engine which generates a list of links to pages containing keywords. This writing project is about such an article generation tool. Our tool generates articles on the topic entered by the user using information available on the web. The articles have well defined sections, each talking about different aspect of the topic.
Information Flow Model For Commercial Security, Jene Pan
Information Flow Model For Commercial Security, Jene Pan
Master's Projects
Information flow in Discretionary Access Control (DAC) is a well-known difficult problem. This paper formalizes the fundamental concepts and establishes a theory of information flow security. A DAC system is information flow secure (IFS), if any data never flows into the hands of owner’s enemies (explicitly denial access list.)
An Automata Based Text Analysis System, Yue Lu
An Automata Based Text Analysis System, Yue Lu
Master's Projects
This report describes and implements an automata based text analysis system. We have collected some of the writing samples. Each sample establishes a tree, and uses the ALERGIA algorithm to merge all compatible nodes in order to get a merged stochastic finite automaton. We store these automatons which demonstrate writing style of the sample texts in the hard drive. For a new testing piece, we can test if it has similar writing style compared to those sample texts.
Web Based Recommender Systems And Rating Prediction, Tho Nguyen
Web Based Recommender Systems And Rating Prediction, Tho Nguyen
Master's Projects
This project implements a recommender system on large dataset of Netflix’s movies. This project also tries to improve recommender systems by incorporating confidence interval and genres of movies. This new approach enhances the performance and quality of service of recommender systems and gives better result than Netflix commercial recommender system, Cinematch.
Priority Based Routing For Mobile Peer-To-Peer Communications, Swathi Venugopal
Priority Based Routing For Mobile Peer-To-Peer Communications, Swathi Venugopal
Master's Projects
In a Mobile Peer-to-Peer (MP2P) network, mobile nodes share their resources among one another in a mobile wireless environment. Communication among nodes in MP2P network has become an important area for research due to the significance of its applications. The success of these MP2P applications depends on the number of users in the network, popularity of services offered, quick response and faster access to services. Some services offered could be more popular than others and some peers may contribute more to the network by catering to more requests compared to other peers. In priority based routing mechanism, there is an …
Performance Study Of Fmipv6-Based Cross-Layer Wimax Handover Scheme For Supporting Voip Service, Heejung Kim
Performance Study Of Fmipv6-Based Cross-Layer Wimax Handover Scheme For Supporting Voip Service, Heejung Kim
Master's Projects
This report presents performance study of the FMIPv6-based cross-layer handover scheme for VoIP supports over mobile WiMAX network. For this performance validation and evaluation, the handover delays for four different handover mechanisms are formulated and ns2 based simulation module has been developed. The handover delay, the total delay, and the R factor representing VoIP quality are measured to evaluate the VoIP support characteristics of the FMIPv6-based cross-layer scheme. Simulation results verified that the proposed FMIPv6-based cross-layer handover scheme, compared to the non-cross-layer scheme, successfully reduces total handover delay by almost 50% for the case of layer-3 handover. Further, simulation was …
Improving Web Recommendations Using Web Usage Mining And Web Semantics, Neha Saxena
Improving Web Recommendations Using Web Usage Mining And Web Semantics, Neha Saxena
Master's Projects
This project addresses the topic of improving web recommendations. With the immense increase in the number of websites and web pages on the internet, the issue of suggesting users with the web pages in the area of their interest needs to be addressed as best as possible. Various approaches have been proposed over the years by many researchers and each of them has taken the solution of creating personalized web recommendations a step ahead. Yet, owing to the large possibilities of further improvement, the system proposed in this report takes generating web recommendations one more step ahead. The proposed system …
Active Lecture: An Interactive Lecturing System, Himavanthara Sajja
Active Lecture: An Interactive Lecturing System, Himavanthara Sajja
Master's Projects
Classroom lecturing has been improving with the advances in information technology. The Active Lecture, an advanced lecturing system, is developed as part of this project. The Active Lecture system allows the students to be more interactive during a lecture process. The Active Lecture system has features that are helpful to both the instructors and the students before, during, and after the lectures. The Active Lecture system is deployed and is made available for use in a classroom. The usage of the Active Lecture system is compared with the usage of Ubiquitous Presenter in a classroom setting.
Hunting For Undetectable Metamorphic Viruses, Da Lin
Hunting For Undetectable Metamorphic Viruses, Da Lin
Master's Projects
Commercial anti-virus scanners are generally signature based, that is, they scan for known patterns to determine whether a file is infected by a virus or not. To evade signature-based detection, virus writers have adopted code obfuscation techniques to create highly metamorphic computer viruses. Since metamorphic viruses change their appearance from generation to generation, signature-based scanners cannot detect all instances of such viruses. To combat metamorphic viruses, detection tools based on statistical analysis have been studied. A tool based on hidden Markov models (HMMs) was previously developed and the results are encouraging—it has been shown that metamorphic viruses created by a …
Dna Sequence Representation By Use Of Statistical Finite Automata, Asmi Shah
Dna Sequence Representation By Use Of Statistical Finite Automata, Asmi Shah
Master's Projects
This project defines and intends to solve the problem of representing information carried by DNA sequences in terms of amino acids, through application of the theory of finite automata. Sequences can be compared against each other to find existing patterns, if any, which may include important genetic information. Comparison can state whether the DNA sequences belong to the same, related or entirely different species in the ‘Tree of Life’ (phylogeny). This is achieved by using extended and statistical finite automata. In order to solve this problem, the concepts of automata and their extension, i.e. Alergia algorithm have been used. In …
Randomized Greedy Hot-Potato Routing On The Multi-Dimensional Torus, Raymond Y. Chi
Randomized Greedy Hot-Potato Routing On The Multi-Dimensional Torus, Raymond Y. Chi
Master's Projects
We present extensive simulation and analysis on a traditional, simple, efficient dynamic hot potato routing algorithm on a multi-dimensional torus network. These simulations are performed under a more recent network model than previous, more limited studies, with dynamic (rather than batch) models, no flow-control, and extended high dimensional scenarios. We collect more comprehensive statistics on system performance, and empirically show that the system can recover from worst-case scenarios to quickly re-achieve its standard steady-state delivery rates, with expected delivery time for a packet of O(n), where n is the initial packet distance from its destination. Experiments also show that for …
A Running Time Improvement For Two Thresholds Two Divisors Algorithm, Bingchun Chang
A Running Time Improvement For Two Thresholds Two Divisors Algorithm, Bingchun Chang
Master's Projects
Chunking algorithms play an important role in data de-duplication systems. The Basic Sliding Window (BSW) algorithm is the first prototype of the content-based chunking algorithm which can handle most types of data. The Two Thresholds Two Divisors (TTTD) algorithm was proposed to improve the BSW algorithm in terms of controlling the variations of the chunk-size. In this project, we investigate and compare the BSW algorithm and TTTD algorithm from different factors by a series of systematic experiments. Up to now, no paper conducts these experimental evaluations for these two algorithms. This is the first value of this paper. According to …
Intrusion Alerts Analysis Using Attack Graphs And Clustering, Hardik Patel
Intrusion Alerts Analysis Using Attack Graphs And Clustering, Hardik Patel
Master's Projects
Network and information security is very crucial in keeping large information infrastructures safe and secure. Many researchers have been working on different issues to strengthen and measure security of a network. An important problem is to model security in order to apply analysis schemes efficiently to that model. An attack graph is a tool to model security of a network which considers individual vulnerabilities in a global view where individual hosts are interconnected. The analysis of intrusion alert information is very important for security evaluation of the system. Because of the huge number of alerts raised by intrusion detection systems, …
Objective Measurement Of Speech Quality In Voip Over Wireless Lan During Handoff, Nidhi Marwaha Gambhir
Objective Measurement Of Speech Quality In Voip Over Wireless Lan During Handoff, Nidhi Marwaha Gambhir
Master's Projects
Quality of Service is a very important factor to determine the quality of a VoIP call. Different subjective and objective models exist for evaluating the speech quality in VoIP. E-model is one of the objective methods of measuring the speech quality; it considers various factors like packet loss, delay and codec impairments. The calculations of Emodel are not very accurate in case of handovers – when a VoIP call moves from one wireless LAN to another. This project conducted experimental evaluation of performance of E-model during handovers and proposes a new approach to accurately calculate the speech quality of VoIP …
Analysis Of An Openmp Program For Race Detection, Dhaval Shah
Analysis Of An Openmp Program For Race Detection, Dhaval Shah
Master's Projects
The race condition in a shared memory parallel program is subtle and harder to find than in a sequential program. The race conditions cause non-deterministic and unexpected results from the program. It should be avoided in the parallel region of OpenMP programs. The proposed OpenMP Race Avoidance Tool statically analyzes the parallel region. It gives alerts regarding possible data races in that parallel region. The proposed tool has the capability to analyze the basic frequently occurring non-nested ‘for loop(s)’. We are comparing the results of the proposed tool with the commercially available static analysis tool named Intel Parallel Lint and …
Expert Finding Using Social Networking, Parin Shah
Expert Finding Using Social Networking, Parin Shah
Master's Projects
In today’s world, knowledge transfer is considered an important and essential activity for the success of an enterprise. Large corporations have realized the need to reuse existing knowledge rather than spend time and effort on solving the same problems again. For these reasons, most corporations now have knowledge repositories. These repositories are visited for possible solutions whenever there is a problem that cannot be easily resolved by using the expertise of the existing team. Apart from this, the problems faced by the people in the company can also be resolved by asking for help from expert in that problem domain. …