9. Examine the schedule for sanity. If your schedule shows you finishing well beyond the date you hope to finish or can afford to be working on your thesis, you will have to adjust your thesis plan, the duration of some tasks, or your expectations, or some of all of these If you choose to examine a thesis paper example, or sample thesis paper, by having an identical subject, you may be influenced by that paper, and can’t create a quality paper from the. When writing a paper for your academic studies, ensure to create the primary ideas you are considering first, and just later on measure the dwelling of someone Estimated Reading Time: 6 mins The master's thesis provides the opportunity for students to acquire first-hand experience in research methods under competent direction. Writing a thesis is equivalent to six hours of credit, and must be indicated as such in the program of study
Master's Thesis - Steps to Graduation - Graduate Studies
For spring quarterall Final Examination and Defenses will not be held in person due to public health guidelines. For a link to attend a candidate's online defense, please contact our office at stemgrad uw. Currently, there are quite a few communication platforms that people all over the world use such as WhatsApp, Signal, Zoom and Google Meet which provide End-to-End Encryption E2EE messaging solutions.
Given the variety of communication platforms providing encrypted communication solutions, it is crucial to analyze the details of how E2EE works on these communication platforms especially group messaging. The author conducts a literature review and performs practical investigations of encryption strategies used by these communication platforms.
The practical investigations are carried out by packet dissection and network analysis of encrypted group messaging traffic. This paper also deep dives into one specific aspect of group messaging — group management. Group messaging brings about interesting challenges with group management for large groups. As the number of people in such groups grow, master thesis schedule, it may not be easy for a limited set of administrators to carry out all administrative actions.
To solve this challenge, this paper proposes a solution to perform group management through Role-based access control RBAC for E2EE groups. To demonstrate this protocol, the author has implemented it as an Android application based on top of Signal SDK, master thesis schedule.
This paper also conducts a security and network analysis of the proposed solution. Penetration testing is a type of ethical hacking in which an organization hires a skilled professional to find and exploit vulnerabilities on their network, master thesis schedule.
With the continued rise of cyberattacks, modern best practices indicate that master thesis schedule scanning and penetration testing are essential master thesis schedule an organization to maintain a secure posture. To remain PCI-DSS compliant, master thesis schedule, organizations acting as a payment gateway must regularly execute penetration tests on their infrastructure.
AAA Washington has expressed a need for an external penetration test on their internet-facing resources, master thesis schedule. This project sought to perform and document such a test for the organization while establishing a repeatable master thesis schedule for future work.
The project identified and exploited vulnerabilities and weak configurations within assets owned by AAA Washington. A methodology tailored explicitly for external penetration testing was established during this process.
The test documented here emphasizes interacting with hardened, internet-facing resources and a rigorous inspection of web applications. This project ends with a redacted six-chaptered penetration test report outlining all findings and recommendations for remediation, master thesis schedule. Every organization with data to protect needs to ensure that they have controls in place to mitigate or minimize cyber threats and risks.
Due to the evolving nature of the cybersecurity threat landscape, a yearly risk assessment is crucial for keeping up to date with the latest attacks. As part of a larger risk assessment, the control gap analysis allows an organization to perform a detailed breakdown of how the controls in place measure up to commonplace standards.
AAA Washington plans to migrate into the hybrid-cloud environment and has requested for a control gap analysis to be conducted on their organization. This project used the CIS Top 20 Control Standards as the base master thesis schedule the gap analysis and will also devise a theoretical risk model to assist in standardizing the current risks to the master thesis schedule. The goal of the project is the creation of a risk assessment document that is accepted by AAA Washington and used as its reference for future years, master thesis schedule.
The master thesis schedule implementation of the theoretical risk model may see it adopted for use in yearly risk assessments.
Sign language plays a significant role in bridging master thesis schedule communication gap between the deaf, mute and general public. Though there are sign language learning applications available these days, there is a considerable deficiency in the area of real time testing. This research aims to provide a solution for this challenge by building a real time sign language learning application on mobile devices.
This iOS application is used to learn alphabets and digits of American sign language ASL and it also helps users to evaluate their skills in real time. To facilitate real time evaluation, a machine learning model is trained using ASL image dataset. This dataset is a combination of static sign language gestures captured using an iPhone, dataset developed by Massey University and publicly available ASL alphabet from Kaggle, master thesis schedule.
Preprocessing is performed to bring all the images in the dataset to a common size. Later, segmentation is performed to subtract the background using skin color detection, master thesis schedule. These processed images are used to train the model using Convolutional neural network.
The model consists of multiple convolutional layers and filters which are helpful in extracting the features and training the model effectively. The proposed framework is successfully implemented on smart phone platform and performs with an average testing accuracy of The Multi-Agent Spatial Simulation MASS library is a parallel master thesis schedule library that uses agent-based modeling ABM parallelization approach over a distributed cluster.
The MASS library contains several applications solving computational geometry problems using ABM algorithms. This research aims to build additional four ABM algorithm-based applications: 1 range search, 2 point location, 3 largest empty circle, and 4 Euclidean shortest path. In this paper, we discuss design approaches used in solutions for the four problems. Results showed that MASS library provides an intuitive approach to developing parallel solutions to computational geometry problems.
We observed that ABM MASS solutions produce competitive performance results when performing computations in-memory over distributed structured datasets. In normal database systems, people always ignore the semantic meaning in autonomous databases. It is not easy to extract significant information based on different querying contexts from a database system.
Mathematical Model of Meaning MMM is a meta-database system that extracts features master thesis schedule the database and explains the database by those features.
It provides users with the capabilities to extract significant information under different semantic spaces. The semantic space is created dynamically with user-defined impression words to compute semantic equivalence and similarity between data items. MMM computes semantic correlations between the key data item and other data items to achieve dynamic data querying.
Multi-Agent Spatial Simulation library MASS is a parallel programming library that utilizes agent-based modeling ABM to parallelize big data analysis. This project presents parallel solutions to improve the performance of MMM using MASS. Multiple parallel solutions were implemented to improve the efficiency of MMM. Compared to the sequential MMM program, the parallel solution using MASS achieved 23 times speedup over the sequential program on matrix multiplication.
MASS also reduced the processing time of distance sorting of multidimensional vectors by Additionally, this work also conducted benchmark analysis between MASS and MPI Java to indicate the advantages master thesis schedule agent-based behavior. It also performed the quantitative and qualitative programmability analysis regarding boilerplate ratio, number of extra classes and functions and developing effort. Fake review is a review written by someone who has not used the product or the service.
Fake reviews are designed to give false impression to the customer during the time of purchasing. Emotion, competition, and intellectual laziness are some of the reasons for writing fake reviews, master thesis schedule. They effect the master thesis schedule decisions and result in the financial losses to the customers. Therefore, an effective solution is necessary to identify the fake reviews.
Existing approaches of fake reviews detection consists of a machine learning models with features related to reviewer, review, and social, master thesis schedule. The problem with the existing approaches is that the model and the features to the model are website dependent, master thesis schedule. Different websites like Yelp, Amazon, Trip Advisor consist of different levels of user meta data information for the reviews.
Some websites might be containing rating, name, verified purchase in the reviews section while others might not. To address this issue, we develop two uber machine learning models, that can be plugged into any website, which takes text of the review.
The textual features obtained from reviews are fed to the machine learning models to predict the classification of review. In the future, any website can extend the current machine learning model, by adding more reviewer features pertaining to that website, for greater accuracy. This thesis provides a late-fusing method, based on the HoNC Histogram of Normalized Colors descriptor, for combining color with shape in spatially-enhanced-BOVW models to improve predictive accuracy for image classification.
The HoNC descriptor is a pure color descriptor that has several useful properties, including the ability to differentiate achromatic colors e. The method is distinguishable from prior late-fusing methods that utilize alternative descriptors, e. The method is shown to boost the predictive accuracy by between about 1.
The method adds between about - mS to the model's total inference time. Network motifs, with their statistical significance, are frequent and unique subgraph patterns in a network. Although various algorithms for network motif detection have been introduced, a traditional approach includes the following three steps. First, it enumerates all the occurrences of subgraph patterns in a given size from the original graph. After that, it generates a large number of random graphs with the same degree sequence as the original graph and repeats the first step.
Lastly, it determines the significance of subgraph patterns through statistical analysis. InGrochow and Kellis proposed a new approach which is a motif-centric method and differentiated it from the traditional approach as a network-centric approach.
While the network-centric approach finds network motifs from a given input, the motif-centric approach finds the occurrence of a specific subgraph pattern from the original network.
To provide both approaches in one platform, we developed a web-based program, Nemo, which includes both network-centric and motif-centric programs. On the other hand, while we were investigating the network-centric approach for a possible improvement of computational efficiency, we realized the second step in the traditional approach can be greatly improved.
The second step is to generate a large number of random graphs so that the network motif can master thesis schedule determined by comparing the frequency in the random pool. Wernicke classified it as EXPLICIT because it generates random graphs explicitly.
He, then, proposed an alternative algorithm named DIRECT, which determines network motifs without explicit graph generation. However, it was never adapted to detecting network motifs in practice due to its ambiguous statistical master thesis schedule method. Here, we investigated DIRECT method, implemented the algorithm with different statistical measurement, and applied to various biological networks to detect network motifs.
Experiment results support that for subgraphs in small sizes, the DIRECT method is a feasible alternative for EXPLICIT, since they have consistent results, but with superior performance. Additionally, we added the motif-centric algorithm and the DIRECT method of network-centric approach as an extension to an open-source library NemoLib, which originally contained a network-centric approach with EXPLICIT random generation method only.
We expect the NemoLib with the additional features can be useful to accelerate the use of network motifs in real-world applications. Community college students come from diverse backgrounds and experience levels.
They begin their education path pursuing a degree in a major of their choice. Most students aim to get transferred to certain universities, an academic path that demands to fulfill specific requirements, which makes students eligible for the transfer.
Being a heavily manual process that demands experience and familiarity with the process, there is a clear need to automate this process. The Virtual Academic Advisor VAA system aims to address the problem of automating academic plan creation for community colleges.
The VAA is a research project paired with the development of an interactive software system that supports creating and displaying academic plans based on the needs and preferences of students. Work previously done by various students, focused on automated recommendation of core courses for targeted majors, master thesis schedule.
Timeline and Gantt Chart for Project Proposal - Thesis Proposal - in MS word
, time: 7:44Creating A Master's PhD Thesis Pre-Writing Schedule
Designing a Workable Plan for Your Thesis or Dissertation. And the answer is, "whatever it takes to help you write yourmagnum opus with a positive attitude and on schedule." This can include time management, financial planning, effective interaction with an advisor and committee, and management of dissertation activities. Page length: Thesis: Method of Adding Color Information to Spatially-Enhanced, Bag-of-Visual-Words Models This thesis provides a late-fusing method, based on the HoNC (Histogram of Normalized Colors) descriptor, for combining color with shape in spatially-enhanced-BOVW models to improve predictive accuracy for image classification If you choose to examine a thesis paper example, or sample thesis paper, by having an identical subject, you may be influenced by that paper, and can’t create a quality paper from the. When writing a paper for your academic studies, ensure to create the primary ideas you are considering first, and just later on measure the dwelling of someone Estimated Reading Time: 6 mins
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