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Achieving Optimal Schedule by Network Flow Techniques
(2015-08-11)
Scheduling plays an important role in protocol design and performance optimizations for
wireless or wired networks. This dissertation studies how to achieve optimal performance
for two fundamental scheduling problems ...
An Energy Efficient Addressing Scheme For a Static Wireless Sensor Network
(University of Missouri--Kansas City, 2011-01-20)
extensible. We also present simulation results showing the energy required per packet transmission and overhead analysis in our approach is less as compared to other work. This thesis starts with an introduction to Wireless Sensor Networks and the Directional...
Network partition for switched industrial ethernet using combined search heuristics
(University of Missouri--Kansas City, 2011-06-06)
by the previous one, and both papers used genetic algorithms. This thesis investigated the NPP problem and concluded by extensive tests that it is very difficult to improve further if we purely follow the method of genetic algorithms. Motivated by searching...
Integration Features in the Development of Software Product Line Architecture
(2015-08-12)
Software product line architecture (PLA) is one of the most promising applications of software architecture. This paper presents a pragmatic PLA development approach with tool support. It addresses two existing issues of PLA development...
KB4DL: Building a Knowledge Base for Deep Learning
(University of Missouri -- Kansas City, 2019)
Deep Learning (DL) has received considerable attention from the AI community. However, we
suffer from the lack of ability in interpretation and annotation of the outcomes from
extensive and exhausting learning efforts. ...
Maintaining Conformance Between Product Line Architecture and Source Code in Architecture-Centric Product Line Development
(2016)
Automatically maintaining conformance between product line architecture and source
code is a major challenge involved in architecture-centric product line development. This is
difficult as existing techniques of ...
NCC-EM: A hybrid framework for decision making with missing information
(University of Missouri--Kansas City, 2017)
Accounting for uncertainty is important in any data driven decision making. The
popular treatment of uncertainties is to employ classical probability theory by expressing
variables as random variables or processes in ...
Implementing Product Line Architecture with Code Generation and Separation
(University of Missouri--Kansas City, 2016)
Software product line engineering (SPLE) emphasizes high level of reuse and mass
customization of the core assets shared by a family of software products. Product line
architecture (PLA) is a promising application of ...
SigsSpace-Text: Parallel and Distributed Signature Learning in Text Analytics
(University of Missouri--Kansas City, 2016)
extension, the proposed SigSpace-Text approach brings vital, practical information to signature learning approaches on several text classification tasks. The SigSpace-Text model supports incremental, distributed, and parallel learning using big data...
MDRED: Multi-Modal Multi-Task Distributed Recognition for Event Detection
(University of Missouri -- Kansas City, 2018)
Understanding users’ context is essential in emerging mobile sensing applications, such
as Metal Detector, Glint Finder, Facefirst. Over the last decade, Machine Learning (ML)
techniques have evolved dramatically for ...
Energy Efficient Resource Allocation for Virtual Network Services with Dynamic Workload in Cloud Data Centers
(2015)
With the rapid proliferation of cloud computing, more and more network services and
applications are deployed on cloud data centers. Their energy consumption and green
house gas emissions have significantly increased. ...
Topic network: a semantic model for effective learning
(University of Missouri--Kansas City, 2011-06-08)
There has been tremendous interest in sharing and retrieving information through the Web. A
search engine can be used to retrieve relevant web documents. However, the sheer volume of
results returned often requires ...
Volatility-Aware Query Processing in Peer-to-Peer Systems
(University of Missouri--Kansas City, 2010)
with highly transient populations of peers, and the dynamicity of P2P systems. CDQP assumes peers participating in a query plan are always present during query execution. Furthermore, it uses the compile-then-execute approach whose effectiveness relies heavily...
3D Hand Pose Estimation Via a Lightweight Deep Learning Model
(University of Missouri -- Kansas City, 2018)
Deep Learning with depth cameras has enabled 3D hand pose estimation from RGBD
images. Commercial solutions like Leap Motion and Intel RealSense™ use stereoscopic sensors or
IR illumination-based methods to capture the ...
Distributed Perimeter Firewall Policy Management Framework
(University of Missouri--Kansas City, 2017)
A perimeter firewall is the first line of defense that stops unwanted packets (based on
defined firewall policies) entering the organization that deploys it. In the real world, every
organization maintains a perimeter ...
Context Based Multi-Image Visual Question Answering (VQA) in Deep Learning
(University of Missouri--Kansas City, 2017)
Image question answering has gained huge popularity in recent years due to
advancements in Deep Learning technologies and computer processing hardware which are
able to achieve higher accuracies with faster processing ...
Coupon Redemption System
(2015)
A number of trends in e-commerce have become evident in recent years. Online storefronts have proliferated, and advertisements for these storefronts in the form of click through banners have become popular. Recently, the ...
SigSpace – Class-Based Feature Representation for Scalable and Distributed Machine Learning
(University of Missouri–Kansas City, 2016)
In the era of big data, it is essential to explore the opportunities in discovering knowledge
from big data. However, traditional machine learning approaches are not well fit
to analyze the full value of big data. ...
High Availability and Scalability Schemes for Software- Defined Networks (SDN)
(2015)
A proliferation of network-enabled devices and network-intensive applications require
the underlying networks not only to be agile despite of complex and heterogeneous
environments, but also to be highly available and ...
Smart City Open Data Network System: Openness, Security, and Privacy
(University of Missouri--Kansas City, 2017)
The increasing concentration of population around the cities poses challenges in
their operation and services. On the other hand, the current technological revolution allows scalable and innovative means to better serve ...