S. Hamed Javadi

imec

Inverse synthetic aperture radar (ISAR) provides a solution to increase the radar angular resolution by observing a moving target over time. The high-resolution ISAR image should undergo a segmentation step to get the target’s point cloud data, which is then used for classification purposes. Existing segmentation algorithms seek an optimal threshol...

The quality of online visible and near infrared (vis-NIR) soil spectra can be deteriorated by interferences of ambient light, and debris e.g., stones, roots or plant residues among others, which considerably reduces the accuracy of the predictions. Filtering of very noisy and non-soil spectra from good-quality soil spectra needs to be performed pri...

In precision agriculture (PA) practices, the accurate delineation of management zones (MZs), with each zone having similar characteristics, is essential for map-based variable rate application of farming inputs. However, there is no consensus on an optimal clustering algorithm and the input data format. In this paper, we evaluated the performances...

Visible-near-infrared (vis-NIR) and X-ray fluorescence (XRF) are key technologies becoming pervasive in proximal soil sensing (PSS), whose fusion holds promising potential to improve the estimation accuracy of soil attributes. In this paper, we examine different data fusion methods for the prediction of key soil fertility attributes including pH, o...

Source localization with a network of low-cost motes with limited processing, memory, and energy resources is considered in this paper. The state-of-the-art methods are mostly based on complicated signal processing approaches in which motes send their (processed) data to a fusion center (FC) wherein the source is localized. These methods are resour...

Precision agriculture (PA) is an integrated solution to optimize the application of farming inputs site-specifically to increase crops efficiency, reduce resources consumption, and protect the environment. Recently, visible-near-infrared (Vis-NIR) and X-ray-fluorescence (XRF) have emerged as efficient and inexpensive proximal soil sensing (PSS) met...

Detection is a basic task of a wireless sensor network (WSN). To meet severe bandwidth and energy limitations of WSNs, network nodes are usually programmed to decide locally about a desired event occurrence and send just one bit to a fusion center (FC) wherein an optimum decision must be taken. In this paper, we employ the Rao test for fusing local...

Visible and near infrared (vis-NIR) diffuse reflectance and X-ray fluorescence (XRF) sensors are promising proximal soil sensing (PSS) tools for predicting soil key fertility attributes. This work aimed at assessing the performance of the individual and combined use of vis-NIR and XRF sensors to predict clay, organic matter (OM), cation exchange ca...

Decentralized detection is one of the key tasks that a wireless sensor network (WSN) is faced to accomplish. Among several decision criteria, the Rao test is able to cope with an unknown (but parametrically-specified) sensing model, while keeping computational simplicity. To this end, the Rao test is employed in this paper to fuse multivariate data...

Networks of multiple radars are typically used for improving the coverage and tracking accuracy. Recently, such networks have facilitated deployment of commercial radars for civilian applications such as healthcare, gesture recognition, home security, and autonomous automobiles. They exploit advanced signal processing techniques together with effic...

Networks of multiple radars are typically used for improving the coverage and tracking accuracy. Recently, such networks have facilitated deployment of commercial radars for civilian applications such as healthcare, gesture recognition, home security, and autonomous automobiles. They exploit advanced signal processing techniques together with effic...

Detection is one of the main tasks of wireless sensor networks (WSN) in many applications. The data of network nodes are usually assumed to be statistically independent since considering dependence results in intractable decision rules. However, detection performance degrades when the correlation rises. In this paper, a practically popular configur...

In serial wireless sensor networks, nodes send their compact information (decisions) to a fusion center via multi-hop. Each node performs data fusion and transmits the result. We propose using the Plackett copula for resolving the correlation in heterogeneous serial networks. The proposed scheme improves detection performance with low computation b...

Distributed detection is an essential task of wireless sensor networks (WSNs) with stringent limitations of energy and processing resources. In most of detection scenarios, the optimal threshold depends on the noise power which itself consists of some uncertainty in practice. In this paper, we use fuzzy hypothesis test (FHT) for modeling the noise...

Wireless sensor networks (WSNs) consist of smart nodes that observe a phenomenon of interest (POI) via several sensors. They are extensively used in environ-ment surveillance and can be fit very well in fire detection where detecting fire correctly in real time while avoiding false alarms is crucial. Detection in each node is carried out by fusing the...

Source localization and target tracking are among the most challenging problems in wireless sensor networks (WSN). Most of the state-of-the-art solutions are complicated and do not meet the processing and memory limitations of the existing low-cost sensor nodes. In this paper, we propose computationally-cheap solutions based on the support vector m...

Reliable event detection is an essential task of wireless sensor networks (WSNs) in which there are different types of uncertainty. In this paper, we consider a decentralized detection problem for a WSN and use fuzzy hypothesis test (FHT) in the Bayesian perspective to model the noise power uncertainty. FHT employs membership functions as hypothese...

Full paper available till 02/10/2019 in: https://authors.elsevier.com/a/1YFy8_Wdz-X4E- In a wireless sensor network (WSN), nodes usually send their processed data (their decisions, in the extreme case) to a fusion center (FC) which takes the final decision by applying an appropriate fusion rule on received decisions. The decisions of nodes are gene...

Wireless sensor networks have found many applications because of their facility for remote information monitoring and processing. One of the main applications of sensor networks is detection of an event occurrence. In these applications, a fusion center decides about an event occurrence based on the data of sensors. Here, the goal is to detect even...

The applications of sensor networks (SNs) are increasing since they facilitate real-time remote information monitoring and processing. Detection of an event is one of the main tasks of SNs in many applications. ensors may transmit either raw or processed data to a fusion center (FC), where a final decision is taken. The problems and challenges that...

The applications of sensor networks (SNs) are increasing since they facilitate real-time remote information monitoring and processing. Detection of an event is one of the main tasks of SNs in many applications. Sensors may transmit either raw or processed data to a fusion center (FC), where a final decision is taken. The problems and challenges tha...

Detection of an event occurrence is one of the main tasks of a wireless sensor network (WSN) in many applications. Sensors observe the environment and send either their raw measurements or their decisions about the event occurrence to a fusion centre (FC) where the final decision is made. It is desired to obtain a decision fusion scheme in which de...

Distributed detection (DD) is one of the most important applications of wireless sensor networks (WSN). In DD, each sensor decides about an event occurrence and sends its decision to a fusion center (FC) where the final decision is made using a fusion rule. An intuitive fusion rule is counting rule fusion (CRF) in which the number of sensors which...

In this study, an optimal method of clustering homogeneous wireless sensor networks using a multi-objective two-nested genetic algorithm is presented. The top level algorithm is a multi-objective genetic algorithm (GA) whose goal is to obtain clustering schemes in which the network lifetime is optimized for different delay values. The low level GA...

The authors define the probability of receiving correct decisions from all the clusters by the data fusion centre as the reliability of distributed detection in clustered wireless sensor networks and formulate it in two cases of parallel and serial distributed detection. An energy-efficient distributed detection method – called hybrid distributed d...

To transmit and receive data over any network successfully, a protocol is required to manage the flow. High-level Data Link Control (HDLC) protocol is defined in Layer 2 of OSI model and is one of the most commonly used layer 2 protocols. HDLC supports both full-duplex and half-duplex data transfer. In addition, it offers error control and flow con...