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Cyclostationary feature detection for spectrum sensing incognitive radio network has significant prospect in future wirelesscommunicationsystems. This work deals with the very-large scaleintegration(VLSI) architectural transformation of such detection algorithmfor field-programmable gate-array (FPGA) prototyping andapplication-specific integrated-circuit (ASIC) design. System level designof this detection...
Understanding the amount of forces exerted to the brain tissue during the performance of surgical tasks in neurosurgery is critical for educating trainees. Quantifying such forces can help trainees gain important information about the appropriate amount of force required to safely, yet effectively, complete microsurgical tasks. This paper reports the amount of forces exerted during the performance...
The imputation of partially missing multivariate time series data is critical for its correct analysis. The biggest problems in time series data are consecutively missing values that would result in serious information loss if simply dropped from the dataset. To address this problem, we adapt the k-Nearest Neighbors algorithm in a novel way for multivariate time series imputation. The algorithm employs...
The paper is devoted to an analysis of a one-year-long period of operation of a honeynet composed of 6 Dionaea honeypots emulating Windows services. The analysis focused on the frequency of attacks according to the location of individual honeypots (sensors) as well as to the geographical location of attackers. From the statistical processing of the results, it was demonstrated that the most frequently...
In diversity-based multiple antenna cognitive radio system, the performance of the existing cooperative spectrum sensing algorithms based on covariance matrix degrades seriously due to the channel correlation. In this paper, we formulate spectrum sensing as a multinomial distribution test problem, and then apply the Discrete Anderson Darling (DAD) test, one of discrete goodness of fit tests, to examining...
Diabetes is a group of metabolic diseases which is harm to human health seriously. Continuous glucose monitoring (CGM) plays an important role in the treatment of diabetes. However, false information of glucose, caused by the faults of CGM, will reduce the treatment effect, and even lead diabetic patients to severe risks. So far, there are some notable attempts in the research of CGM fault detection...
Multi-sensor image registration can combine information obtained by multimodality sensors and describe the scene more accurately, thus making it a hot research topic in the field of image processing. In this paper, we propose a novel approach for highly accurate multi-sensor image registration based on undirected graph model. In the proposed approach, the source image is divided into five patches...
Cognitive radio is an innovative technology which seeks to provide a new way to extend utilization of available spectrum. The spectrum detection is an essential problem for cognitive radio. Spectrum sensing is an efficient way to detect spectrum holes in cognitive radio network. In this paper, we present cyclostationary Detection Based on Non-cooperative spectrum sensing in cognitive radio network...
Wireless Body Area Networks is a research field expanding quickly due to increased global demand for body worn electronics. In some cases measurements taken by these devices may seem odd, due to the unknown context in which they are taken. Localisation is a step towards greater context awareness about devices being worn, and an alternate solution to localisation using inertial measurements is used...
Human-human interactions are widely existed in many fields. In this paper we describe how to analyze and assess the interactional synchrony between two humans by using body sensor networks (BSNs). Utilizing acceleration data collected from inertial sensors, the synchrony between two people's movements both from time domain and frequency domain is conducted to get a better understanding of the coordination...
Bio-inspired Address Event Representation change detection image sensors, also known as silicon retinae, have matured to the point where they can be purchased commercially, and are easily operated by laymen. Noise is present in the output of these sensors, and improved noise filtering will enhance performance in many applications. A novel approach is proposed for quantifying the quality of data received...
Signal classification plays an important role in spectrum sensing for cognitive radios to identify and avoid interference from other wireless devices. In this paper, we study a network of cognitive radios that jointly perform signal classification via cooperation. We propose a simple but effective linear cooperation scheme to fuse pre-processed measurements collected from spatially distributed cognitive...
Cognitive Radio (CR) is a promising technology to solve the spectrum scarcity. Spectrum sensing becomes more challenging in Cognitive Vehicular Networks (CVNs) due to Secondary Users (SUs) mobility. Current studies on cooperative spectrum sensing usually assume that sensors are static and independent, which is unreasonable in vehicular networks with dense traffic. In this paper, we investigate the...
Industrial buildings are responsible for a large share of the worldwide electricity consumption. Disaggregated information about electricity consumption enables decision- making and feedback tools to reduce and optimize the electricity consumption. In industrial settings, electrical load comes from a variety of equipment and machinery which can be awkward and expensive to monitor individually. We...
To reduce the huge consumption of traditional sensing, a multi-centers estimation based sensing scheme is proposed in this paper. Firstly, all potential channels are clustered into highly related groups with some channels selected as detecting channels (DCs) using an unsupervised algorithm. In each group, the states of other channels (estimated channels, ECs) are estimated according to their correlations...
Compressed sensing, further to its ability of reducing resources spent in signal acquisition, may be seen as an implicit private-key encryption scheme. The level of achievable secrecy has been analyzed in the most classical settings, when the sensing matrix is made of independent and identically distributed entries. Yet, it is known that substantially improved acquisition can be achieved by tuning...
A non-repeating FMCW waveform was recently developed and experimentally demonstrated to provide a feasible instantiation of FM noise radar. This emission scheme was subsequently examined in terms of the impact of both stationary and hopped spectral gaps with the prospect of enabling in-band interference avoidance for cognitive sensing and possibly tandem hopped radar/communications. Here this gap-hopped...
This paper describes a method to estimate road condition using our developed network-connected manual wheelchair. We have been developing the wheelchair on which torque sensors, an accelerometer and a GPS receiver are implemented, for gathering the road condition data onto our server PC. Our final purpose is to develop a system which display traffic disturbances for manual wheelchairs on the digital...
The Internet-of-Things (IoT) is the key enabling technology for transforming current urban environments into so-called Smart Cities. One of the goals behind making cities smarter is to provide a healthy environment that improves the citizens' quality of life and wellbeing. In this work, we introduce a novel data aggregation mechanism tailored to the application of large-scale air pollution monitoring...
Cognitive radio (CR) has received increasing attention and is considered an important solution to the spectral crowding problem. The main idea behind CR technology is to utilize the unused spectral resources which are determined to be available for secondary user by effective spectrum sensing techniques. However, CR technology significantly depends on the spectrum sensing techniques which are applied...
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