Millets, often referred to as "Nutri Cereals," hold significant potential for enhancing future food availability. Over the past 50 years, advancements such as the use of fertilizers, insecticides, and c...
详细信息
The biotelemetry is more common application of biomedical engineering and telemetry in our professional life. By this reason the biotelemetry is taught in our bachelor study program Biomedical technology from its begi...
详细信息
This paper deals with eccentricity fault detection in a induction motor via artificial neural networks. Discriminative features are extracted from magnitude-frequency plot of line current spectra at characteristic fre...
详细信息
The integration of software in the automotive industry has become increasingly complex and time-sensitive, necessitating the implementation of efficient tools. One such tool is the utilization of a generator. Over the...
The integration of software in the automotive industry has become increasingly complex and time-sensitive, necessitating the implementation of efficient tools. One such tool is the utilization of a generator. Over the past decade, the implementation of In-Vehicle-Infotainment systems has become ubiquitous, occupying a central position within vehicles. Another system present in vehicles is the Advanced Driver Assistance System. Despite their prevalence, these systems operate in isolation. However, the utilization of Android services and a service-client architecture can facilitate communication between disparate systems through the implementation of various service-client-based protocols. This study proposes the development of a generator for Android services that enable communication between Advanced Driver Assistance System systems through the use of CommonAPI proxy. The implementation of this generator will expedite the production process of code that integrates these independent systems.
Secure and reliable data transmissions are of vial importance in today's biotelemetric systems. Particularity of biotelemetric data puts special requirements on real biotelemetric system regarding data confidentia...
详细信息
This paper presents a new non-invasive method to estimate the danger to which are exposed the patients suffering from Wolff-Parkinson-White (WPW) syndrome. Our aim is to provide reliable risk estimation, and to formul...
详细信息
This paper presents a new way to solve the inverse problem of electrocardiography in terms of heart model parameters. The developed event estimation and recognition method is based on an optimization system of heart m...
详细信息
The paper gives an insight of the work done so far in modelling and implementation of user adapted software systems or adaptive web sites. We introduce a five layer framework which gives to our adaptive web based syst...
详细信息
Electrical stimulation and vibration stimulation are two most investigated interfaces for sending the information to humans. It is well known that change in electrical stimulation is not linearly related to the percep...
详细信息
ISBN:
(纸本)9781467379847
Electrical stimulation and vibration stimulation are two most investigated interfaces for sending the information to humans. It is well known that change in electrical stimulation is not linearly related to the perception of sensation that humans feel. This paper presents the experiment along with results that investigate the relationship between change in electrical stimulation parameters (e.g. pulse frequency and pulse width) and perception of sensation on humans' skin. Our assumption is that human perception of the electrical stimulation improves as frequency rises (from 10 to 100Hz), (e.g. the resolution of perception rises). Psychophysics algorithms were used for both, finding minimal difference of sensation intensity (for different parameters) that humans can sense (Just noticeable difference), as well as data analysis. This research proved the assumption but also opened some new questions and gave us new ideas for future work.
The performance of a classification model depends not only on the algorithm by which the model is learned, but also on the training set. Manual annotation of the training data is a tedious and time consuming job. In o...
详细信息
The performance of a classification model depends not only on the algorithm by which the model is learned, but also on the training set. Manual annotation of the training data is a tedious and time consuming job. In order to overcome the problem of laborious hand-labeling of a large training set, a set of techniques called semi-supervised learning was designed. Co-training is one of the major semi-supervised learning methods. Its setting applies to datasets that have a natural separation of their features into two disjoint sets. However, in the great majority of practical situations, the natural split of features does not exist. In this paper we propose the new co-training based algorithm which can be applied to such datasets.
暂无评论