Harvesting rain-fed chickpeas (Cicer arietinum L.) from fallow fields in developing countries is currently a manual process performed by laborers in a tedious manner at a low level of efficiency. A tractor-pulled harvester was built in which a chain conveyor transfer harvested material. A tractor-mounted harvester was then redesigned, which incorporated a modified stripper header to detach pods...

This paper presents a data mining methodology for driving condition monitoring via CAN-bus data that is based on the general data mining process. The approach is applicable to many driving condition problems and the example of road type classification without the use of location information is investigated. Location information from Global Positioning Satellites and related map data are often n...

Modern cellular networks utilising the long–term evolution (LTE) set of standards face an ever–increasing demand for mobile data from connected devices. Header compression is commonly employed to minimise the overhead for IP–based cellular network traffic. In this paper, we evaluate the three header compression implementations used by these networks with respect to their potential throughput in...

Road detection is a fundamental task in autonomous navigation systems. In this paper, we consider the case of monocular road detection, where images are segmented into road and non-road regions. Our starting point is the well-known machine learning approach, in which a classifier is trained to distinguish road and non-road regions based on hand-labeled images. We proceed by introducing the use ...

Electricity generation from renewable energy sources is emerging as a result of global carbon emission reduction policies. However, most are non-dispatchable and cannot be adjusted to meet the fluctuating electricity demands society. A flexible operation process has been proposed an effective solution compensate for unstable nature sources. Thermal load fluctuations during may cause creep–fatig...

Spatial variability of yield is very important in precision farming. With a yield monitor system installed on combine harvester, the yield data can be collected automatically while harvesting. In this paper, the component and the working theory of the yield monitor system were introduced. Performance of main sensors and the method improving GPS position accuracy were analyzed. Based on the anal...

EMFET is an open source and flexible tool that can be used to extract a large number of features from any email corpus with emails saved in EML format. The extracted features can be categorized into three main groups: header features, payload (body) features, and attachment features. The purpose of the tool is to help practitioners and researchers to build datasets that can be used for training...

Abstract: We study a shape optimization problem for a paper machine headbox which distributes a mixture of water and wood fibers in the paper manufacturing process. The aim is to find a shape which a priori ensures the given velocity profile on the outlet part. The mathematical formulation leads to an optimal control problem in which the control variable is the shape of the domain representing ...

The volume of multimedia traffic transmitted over the Internet has increased significantly over the past few years. As a result, the need to analyze and classify multimedia traffic has become more acute. Conventional packetor header-based analysis has limitations; a deeper understanding of the actual multimedia content may be necessary. This paper presents a machine learning-based multimedia tr...

Monitoring the road pavement is a challenging task. Authorities spend time and finances to monitor the state and quality of the road pavement. This paper investigate road surface monitoring with smartphones equipped with GPS and inertial sensors: accelerometer and gyroscope. In this study we describe the conducted experiments with data from the time domain, frequency domain and wavelet transfor...