Bellovin, Jason Nieh Email privacy is of crucial importance. Existing email encryption approaches are comprehensive but seldom used due to their complexity and inconvenience. We take a new approach to simplify email encryption and improve its usability by implementing receiver-controlled encryption:
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 challenging. 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 to 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.Asian Journal of Science and Technology (AJST) is a monthly, open access, peer-reviewed and fully refereed international journal.
Being an international journal focused on Engineering, Management, Science and Mathematics, we broadly cover research work on next generation cutting edge technologies and effective marketing strategies.
Published: Mon, 5 Dec Leadership is the ability to help and guide others to achieve their personal best. A good leader achieves this by managing the present station and planning for the future.
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Philippine Professional Standards for Teachers (PPST) is a public document that defines teacher quality through well-defined domains, strands, and indicators that provide measures of professional learning, competent practice, and effective engagement.
The PPST defines teacher quality in the Philippines. Published: Tue, 09 May Theory Analysis Scope.
The Theory of Comfort by Katherine Kolcaba is middle range theory. Middle range theories contain a limited .