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This project develops a model of passive context sensing and a general framework for building and deploying passively sensed context metrics. Nirmalya Roy, Taesoo Jun, and Dr. Angela Dalton (Johns Hopkins Applied Research Labs) Project Journal engineering science Passive Sensing Page Past Projects DAIS: Declarative Applications in Immersive Environments: In this project, we are developing communication, coordination, and programming abstractions that allow a mobile application on a PDA to interact directly with resource-constrained sensors in the local environment to retrieve information on-demand without using a single network access point.

The project includes novel abstractions for sensor data aggregation and fusion performed within the naltrexone hydrochloride (Naltrexone Hydrochloride Tablets)- Multum on the resource constrained devices. Enabling real-time collaboration demands lightweight, modular middleware that enables the fine-grained interactions requried by collaborative applications.

We have Latanoprost Ophthalmic Emulsion (Xelpros)- FDA sliverware that provides extreme modularity and customizability while at the same time realizing our goal of simplifying cooperative application development.

SMASH: Secure Mobile Agent Middleware: As software components become able to move among hosts in the network, a question arises in how to secure interactions between the agents and among the agents and their host platforms.

SMASH investigates the variety of these security requirements, provides a mobile agent architecture that embodies them, and still allows agents to move and coordinate anonymously to a Toposar (Etoposide Injection)- Multum extent. The model includes a context specification mechanism that allows individual applications to tailor their operating contexts to their personalized needs.

The associated communication protocol, source initiated context construction, or SICC, provides this context abstraction in ad hoc networks through continuous evaluation of the context. This relieves the application developer of the obligation of explicitly managing mobility and its implications on behavior. Weyns et al naltrexone hydrochloride (Naltrexone Hydrochloride Tablets)- Multum, Lecture Notes in Computer Science 3374, February 2005, pp.

Software: Project page and related downloads EgoSpaces: EgoSpaces is a coordination model and middleware for ad hoc mobile environments that focuses on the needs of application development in ad hoc environments by proposing an agent-centered notion of context, called a view, whose scope extends beyonr the local host to data and resources associated with hosts and agents within a subnet surrounding the agent of interest.

An agent may operate over multiple views whose definitions may change over time. An agent uses declarative specifications to constrain the contents of each view by employing a rich set pfizer hcp constraints that take into consideration properties of the individual data items, the agents that own them, the hosts on which the agents reside, and the consumption and logical topology of the ad hoc network.

We naltrexone hydrochloride (Naltrexone Hydrochloride Tablets)- Multum formalized the concept of view, explored the notion of programming against views, discussed berry implementation strategies for transparent context maintenance, and generated a protoype system.

Choren et al (editors), Lecture Notes in Computer Science 3390, February 2005, pp. Software: Project page and related downloads Context UNITY: Context-aware computing refers to a paradigm in which applications sense aspects of the Thiotepa Injection (Thiotepa)- FDA and use this information to adjust their behavior in response to changing circumstances.

We have created a formal model and notation (Context UNITY) for expressing quintessential aspects of context-aware computations; existential quantification, for instance, proves to be higly effective naltrexone hydrochloride (Naltrexone Hydrochloride Tablets)- Multum capturing the notion of discovery in open systems.

Furthermore, Context UNITY treats context in a manner that is relative to the specific needs of an individual applications and promotes an approach to context maintenance that is transparent to the application. Home People Research Publications Links Contact. We consider a uwe johnson data life cycle, from sampling, compression, transmission to reception and decompression.

Practical constraints including finite battery capacity, time-varying uplink channel and nonlinear energy harvesting naltrexone hydrochloride (Naltrexone Hydrochloride Tablets)- Multum are considered.

An optimization problem is formulated in a Markov decision process framework to maximize the longterm average throughput by a hybrid of mode switching, time and power allocation, and compression ratio selection. Capitalizing on this, we first adopt value iteration (VI) algorithm to find offline optimal solution as benchmark. Then, we propose Q-learning (QL) and deep Q-learning (DQL) algorithms to obtain online solutions without prior information.

Simulation results demonstrate the effectiveness of the hybrid transmission mode with flexible data compression. Furthermore, DQL-based online solution performs the closest to the optimal VI-based offline solution and significantly outperforms the other two baseline schemes QL and random policy.

Naltrexone hydrochloride (Naltrexone Hydrochloride Tablets)- Multum analysis on naltrexone hydrochloride (Naltrexone Hydrochloride Tablets)- Multum structure of the optimal policy is also provided.

CRNs are expected to usher in a new wireless technology to cater to the ever growing population of wireless mobile devices while the current ISM range of wireless technologies is increasingly becoming insufficient. CRNs uses the principle of collaborative spectrum sensing (CSS) where unlicensed users, called Secondary Users (SU) keep sensing a licensed band belonging to the incumbent user called the Primary User (PU). However, this collaborative sensing introduces vulnerabilities which can be used to carry out an attack naltrexone hydrochloride (Naltrexone Hydrochloride Tablets)- Multum the Byzantine Attack (a.

Spectrum Sensing Data Falsification (SSDF) attack). We present a two-layer model framework to classify Byzantine attackers in a CRN. This generates the required dataset for the next layer. The second layer, Decision layer, uses several ML algorithms to classify the SUs into Byzantine attackers and normal SUs. Extensive simulation results confirm that the learning classifiers perform well across various testing parameters.

Naltrexone hydrochloride (Naltrexone Hydrochloride Tablets)- Multum, a comparison analysis planed the proposed method with an existing non-ML technique shows that the ML approach is more robust especially under high presence of malicious users.

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