Ramakrishnan at workshopchairs18 sigcomm. Nominations are limited to one doctoral dissertation per department. An English-language version of the dissertation must be submitted with the nomination.
On the one hand, some people claim it can be accomplished safely; others dispute that. In an attempt to make progress, a National Academies study committee propounded a framework to use when analyzing proposed solutions. Robot Learning in Simulation for Grasping and Manipulation Beatrice Liang Teaching a robot to acquire complex motor skills in complicated environments is one of the most ambitious problems facing roboticists today.
Grasp planning is a subset of this problem which can be solved through complex geometric and physical analysis or computationally expensive data driven analysis.
As grasping problems become more difficult, building analytical models becomes Dissertation proposal networking. Consequently, we aim to learn a grasping policy through a simulation-based data driven approach.
POS uses a novel priority-based scheduling algorithm that naturally considers partial order information dynamically, and guarantees that each partial order will be explored with significant probability.
This probabilistic guarantee of error detection is exponentially better than state-of-the-art sampling approaches. Besides theoretical guarantees, POS is extremely simple and lightweight Dissertation proposal networking implement.
In our design, an elastic lens array is placed on top of a sparse, rigid array of pixels. This lens array is then stretched using a small mechanical motion in order to change the field of view of the system.
We present in this paper the characterization of such a system and simulations which demonstrate the capabilities of stretchcam. We follow this with the presentation of images captured from a prototype device of the proposed design. Our prototype system is able to achieve 1.
To manage an IoT device, the user first needs to join it to an existing network. Then, the IoT device has to be authenticated by the user.
The authentication process often requires a two-way communication between the new device and a trusted entity, which is typically a hand- held device owned by the user. To ease and standardize this process, we present the Device Enrollment Protocol DEP as a solution to the enrollment problem described above.
The application allows the user to authenticate IoT devices and join them to an existing protected network. However, RNNs are still often used as a black box with limited understanding of the hidden representation that they learn.
Existing approaches such as visualization are limited by the manual effort to examine the visualizations and require considerable expertise, while neural attention models change, rather than interpret, the model.
We propose a technique to search for neurons based on existing interpretable models, features, or programs. Reliable Synchronization in Multithreaded Servers Rui Gu State machine replication SMR leverages distributed consensus protocols such as PAXOS to keep multiple replicas of a program consistent in face of replica failures or network partitions.
This fault tolerance is enticing on implementing a principled SMR system that replicates general programs, especially server programs that demand high availability. Unfortunately, SMR assumes deterministic execution, but most server programs are multithreaded and thus non-deterministic. Moreover, existing SMR systems provide narrow state machine interfaces to suit specific programs, and it can be quite strenuous and error-prone to orchestrate a general program into these interfaces This paper presents CRANE, an SMR system that trans- parently replicates general server programs.
It leverages deterministic multithreading specifically, our prior system PARROT to make multithreaded replicas deterministic. It uses a new technique we call time bubbling to efficiently tackle a difficult challenge of non-deterministic network input timing.
Evaluation on five widely used server programs e. Deobfuscating Android Applications through Deep Learning Fang-Hsiang Su, Jonathan Bell, Gail Kaiser, Baishakhi Ray Android applications are nearly always obfuscated before release, making it difficult to analyze them for malware presence or intellectual property violations.
Obfuscators might hide the true intent of code by renaming variables, modifying the control flow of methods, or inserting additional code. Prior approaches toward automated deobfuscation of Android applications have relied on certain structural parts of apps remaining as landmarks, un-touched by obfuscation.
For instance, some prior approaches have assumed that the structural relation- ships between identifiers e.
Both approaches can be easily defeated by a motivated obfuscator. MACNETO makes few assumptions about the kinds of modifications that an obfuscator might perform, and we show that it has high precision when applied to two different state-of-the-art obfuscators: Kim Dynamic reconfiguration systems guided by coarse-grained program phases has found success in improving overall program performance and energy efficiency.
In this study, we detect program phases using interval sizes on the order of tens, hundreds, and thousands of program cycles. This is in stark contrast with prior phase detection studies where the interval size is on the order of several thousands to millions of cycles.
The primary goal of this study is to begin to fill a gap in the literature on phase detection by characterizing super fine-grained program phases and demonstrating an application where detection of these relatively short-lived phases can be instrumental.
Traditional models for phase detection including basic block vectors and working set signatures are used to detect super fine-grained phases as well as a less traditional model based on microprocessor activity. Finally, we show an analytical case study where super fine-grained phases are applied to voltage and frequency scaling optimizations.
Unfortunately, there is little quantitative data on how well existing tools can detect these attacks. This paper presents the first quantitative study on concurrency attacks and their implications on tools.
Our study on 10 widely used programs reveals 26 concurrency attacks with broad threats e. Our study further reveals that, only extremely small portions of inputs and thread interleavings or schedules can trigger these attacks, and existing concurrency bug detectors work poorly because they lack help to identify the vulnerable inputs and schedules.Hardware, Network and Security Dissertation Topics.
Network security refers to all activities that are designed to protect the usability and reliability of organizations’ information and network structure, including software and hardware security measures and technologies. «Latest CSE Seminar Reports on Communication and Invocation in Distributed Systems» An iPhone Application for BCS (British Computer Society) Project Proposal.
Best professional online essay writer company is at your service. We help students write academic essays and papers from scratch in just a few clicks, offering perfect quality and affordable prices for to every customer!
AllStar Realty, Inc is an independent brokerage representing buyers and/or sellers. We are not affiliated with the developer nor with the developer's sales agents. Module directory The Module Directory provides information on all taught modules offered by Queen Mary during the academic year dissertation proposal networking my weakness essay Dissertation Networking how to buy college essays b how to buy college essays sociology dissertationThesis Proposal For Networking.
No plagiarism — exclusive writing in approximately timberdesignmag.come to the on-line version of the UNC dissertation proposal collection.