Each recommendation should be explained and justified with the support of your research findings. Focus in particular on the following questions: How will the measure contribute to solving the problem or issue? Why do you believe this is the case?
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: To avoid the problem of users having to move a single private key between devices, we implement per-device key pairs: Compromising an email account or email server only provides access to encrypted emails.
Mail, has acceptable overhead, and that users consider it intuitive and easy to use. 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.A Journey from JNDI/LDAP Manipulation to Remote Code Execution Dream Land.
JNDI (Java Naming and Directory Interface) is a Java API that allows clients . Collaborative filtering (CF) is a technique used by recommender systems. Collaborative filtering has two senses, a narrow one and a more general one. In the newer, narrower sense, collaborative filtering is a method of making automatic predictions (filtering) about the interests of a user by collecting preferences or taste information from many users (collaborating).
Find out how digital tools can help you: ———————————– Explore the literature (back to top) Here is a collection of digital tools that are designed to help researchers explore the millions of research articles available to this date. Definition. Deep learning is a class of machine learning algorithms that: (pp–).
use a cascade of multiple layers of nonlinear processing units for feature extraction and transformation. Each successive layer uses the output from the previous layer as input.
1 PhD Program in Business Administration PhD THESIS WORK SUMMARY Entrepreneurial Management in Hungarian SMEs by Lilla Hortoványi Supervisor.
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