Each wireless device has its unique fingerprint, which can be utilized for identification and intrusion detection. Most existing literature employs supervised learning techniques assumes the number of devices is known. In this paper, based on device-dependent channel-invariant radio-metrics, we propose a non-parametric Bayesian method to detect as well classify multiple in unsupervised passive manner. Specifically, infinite Gaussian mixture model used modified collapsed Gibbs sampling...

To meet the development of Internet Things (IoT), IETF has proposed IPv6 standards working under low-power and low-cost constraints. In this paper, we provide insights on RPL (routing protocol for low power lossy networks) condition multiple instances. For study, use Contiki operating system, together with COOJA simulator. Our work investigates two distinctive objective functions instances differentiating QoS at network layer in WSNs. The metrics evaluated include routing tree convergence,...

RPL (IPv6 Routing Protocol for Low-Power and Lossy Networks) is a standard routing protocol low-power low-cost resource constrained networks. To deal with the diversity in link qualities these networks, Minimum Rank Hysteresis Objective Function (MRHOF, RFC 6719) standardized as de facto (OF) RPL. MRHOF helps mote to select path forward traffic minimum cost among available paths. The Expected Transmission Count (ETX) defined 6551 most widely used metric. ETX achieve good Packet Delivery...

Abstract Background and Aim Chronic hepatitis C virus infection is characterized by infiltration of a mixed population leukocytes into portal tracts almost exclusively CD 8+ T cells lobules the liver. This pattern leukocyte recruitment likely to be orchestrated in cell‐specific fashion local chemokine expression. Methods Portal or lobular tissues were isolated laser capture microdissection from 17 liver biopsy specimens examine regional gene expression panel ligands receptors. The biopsies...

In this paper, we build an emotion prediction system by only using heart rate signals. This can easily support any heart-rate 'sensor and smartphone to enhance users' experience. We collect data from registered users a sensor building Android application, namely Emotion Heart Rate Collection. analyze different kinds of feature vectors compare various supervised learning models, including k-Nearest Neighbor (kNN), Support Vector Machine (SVM), decision tree. The experiments show that SVM...

Constructing multipath routes in MANETs is important for providing reliable delivery, load balancing, and bandwidth aggregation. However, popular routing approaches fail to produce spatially disjoint a simple cost-effective manner, existing single-path cannot be easily modified multiple routes. In this paper we propose Electric-Field-Based Routing (EFR) as framework by applying the concept of electric field lines. Our location-based protocol naturally provides based on shapes these The...

When GPS devices are widely integrated into smart phones, researchers stand a big chance of collecting massive location information, that is necessary in studying users' moving behavior and predicting the next users. Once user can be determined, it serve as input for many applications, such based service, scheduling users access mobile network or even home automation. One important task to identify typical patterns. In this paper, we propose novel method extract patterns using deep learning....

In hepatitis C virus (HCV) infection, virus-specific CD8+ T cells are recruited to the liver for antiviral activity. Multiple chemokine ligands induced by notably interferon-inducible chemokine, CXCL10. HCV, intrahepatic express receptors (CCRs), including CXCR3, CXCR6, CCR1, and CCR5, but CCR expression on antigen-specific effector memory has not been investigated. Paired blood samples were collected from subjects with chronic HCV flow cytometric analysis of cells. Expression these CCRs was...

The Smart Party is a new ubiquitous computing application for the home environment. This gathers musical preferences guests located in different rooms of user's house. Based on their and available media, chooses music play list each room, adjusting to changing membership as move through party. We describe application, its architecture, our implementation, including key performance characteristics.

In this paper, we investigate the problem of user movement prediction from historical location data. We create an Android application, namely Movement Predictor, that can help to collect data registered users by Global Positioning System (GPS) signals. analyze different kinds feature vectors and compare three supervised learning models: Markov model, Support Vector Machine (SVM), decision tree. The experiments show SVM model achieve highest performance (with accuracy 92%) in comparison with...

In this work, we propose a new density estimation method for hyperspectral image data based on Dirichlet Process Gaussian mixture models (also known as infinite - IGMMs), which successfully captures the complex multi-modal (potentially non-Gaussian) statistical structure of data. The model get from will then be applied to classification problem. This IGMM approach is non-parametric Bayesian helping circumvent problem selection, unavoidable and often difficult when employing traditional...

Data-driven approaches are increasingly popular for identifying dynamical systems due to improved accuracy and availability of sensor data. However, relying solely on data identification does not guarantee that the identified will maintain their physical properties or predicted models generalize well. In this paper, we propose a novel method system by integrating neural network as first-order derivative Taylor series expansion instead learning function directly. This approach, called...

Spectrum monitoring is important to ensure the safe operation of mission critical systems as well satisfactory performance non-critical applications over wireless. In this paper, we present a novel blind technology identification (BTI) approach that utilizes only binary representation spectrum activities identify transmission technologies are in radio spectrum. observations modeled Boolean OR mixtures on underlying signal sources, and independent component analysis technique applied. Not can...

In this paper, we revisit multi-party Diffie-Hellman key exchange (DHKE) protocols by using multi-linear mappings and Weil pairings over elliptic curves. We show how to construct a 4-linear pairing illustrate the approach examples. Finally, present several necessary conditions find distortion map for 5-party DHKE protocol.

Abstract Background and Aim Patients coinfected with both hepatitis C virus ( HCV ) human immunodeficiency HIV have accelerated liver disease compared mono‐infected patients. In chronic infection, it is known that chemokines play a key role in T cell recruitment determining the extent of hepatic injury. Methods this study, we determined by quantitative real‐time reverse transcriptase polymerase chain reaction immunohistochemistry intrahepatic phenotype cellular infiltrate its associated...