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Intelligent sensing and actuation in building applications has been considered by many Heating, ventilation and air conditioning (HVAC) experts. Wireless Sensor Network (WSN) performs as an efficient communication tool for human comfort (e.g. indoor thermal control). In this paper, an analysis of Packet Error Rate (PER) in WSN for HVAC system was implemented. Based on the collected PER information,...
Water management is an important issue in economics and environment. Recently, amount of water control system has been proposed and developed. For the type of intelligent water control, the related parameters will be the input of the control system. Hence, there is a need of developing a scalable, flexible and reliable sensor network for related parameters monitoring. To install and replace water...
Spatial Modulation is a recently developed low-complexity MIMO scheme that jointly uses antenna indices and a conventional constellation set to convey information. Different types of developed SM systems have been proposed to mitigate the limitations of basic SM systems. We compared the performance of different types of spatial modulation system in different channel environment and give the key factors...
A new network applies on high traffic ZigBee based wireless network. The new network incorporates multi-radio multi-channel technology and improves the efficiency of data transmission. The latency performance of the proposed network is analyzed by OPNET.
Healthcare problems is a popular topic nowadays in both the market and the research area. The transmission of the healthcare data is one of the most urgent topics that requires to be solved. Hence, in this paper, a new ZigBee based wireless sensor network is designed under the hospital environment. The network is under beacon mode in the MAC layer to ensure the security issue. The network delay and...
Many traffic injuries and deaths are caused by the drowsiness of drivers during driving. Existing drowsiness detection schemes are not accurate due to various reasons. To resolve this problem, an accurate driver drowsiness classifier (DDC) has been developed using an electrocardiogram genetic algorithm-based support vector machine (ECG GA-SVM). In existing studies, a cross correlation kernel and a...
Indoor Air quality (IAQ) is an urgent topic that worsens because of several of pollutants in the product indoor. World Health Organization (WHO) has standardized the harmful level indicating the potential health risk caused by hazardous substance. The conventional schemes consider single substance only which have no significant contribution to IAQ practically as IAQ depends on lots of parameters....
The application of localization in healthcare system is a crucial topic which helps to locate the position of patent or the elderly in case urgency happens. From this aspect, a wireless technology is adopted to provide an efficient localization monitoring system for patients or the elderly in indoor area. The location of patients can be obtained through the developed algorithm. Fuzzy C-Means clustering...
World Health Organization informed that traffic accidents potentially become the 5th leading cause of death if there is no effective way to restrict drunk driving. It is reported that 51 million people are injured or dead because of the traffic accidents every year. These traffic accidents lead to the expenditures of $500 billion dollars. Among these traffic accidents, drunk driving is one of the...
Worldwide, more than 50 million people are injured in each year because of traffic accidents and their expenditure costs 1% to 3% of the world's GDP. Drowsy driver is one of the leading causes of the traffic accidents. To reduce the accidents, drowsy driver detection (DDD) using penalized cross-correlation kernel (KPC) has been developed. The cross-correlation is to measure the similarity of ECG signals...
To meet the requirements on data collection from wireless sensor network for healthcare application especially in hospital, the performance of wireless communication is an important issue. In particular, simultaneous transmissions from numerous sensors will cause serious collision which leads to transmission packets loss and delay. In this paper, a management scheme, multi-criteria decision making...
This paper proposes a novel method for detecting the Parkinson's diseases via applying the empirical mode decomposition to filtered electromyograms. First, the electromyograms are processed by different linear phase finite impulse response bandpass filters with different pairs of cutoff frequencies. Second, each filtered electromyogram is decomposed into several intrinsic mode functions. Third, both...
This paper proposes a novel method of killing birds and applying vaccines for suppressing the spread of avian influenza via a nonlinear switching control approach. The switching strategy is based on the population of the susceptible birds and the population of the susceptible humans. There are four switching cases. For the first three switching cases, the elimination control force and the quarantine...
Driver drowsiness may cause traffic injuries and death. In literature, various methods, for instance, image-based, vehicle-based, and biometric-signals-based, have been proposed for driver drowsiness detection. In this paper, a new approach using Electrocardiogram is discussed. Performance evaluation is carried out for the driver drowsiness classifier. The developed classifier yields overall accuracy,...
Smart transportation is an application of intelligent system on transportation domain, expected to bring the society environmental and economic advantages. By combining with IoT techniques, the concept is being enhanced and raised to a system level. Numerous data are able to collect and effective analysis technique is needed. Here in this paper, we proposed a framework of employing IoT technique to...
Wrist pulse signal is believed to contain critical information of the patients' health condition. This project aims to analyze the time series wrist pulse signals in order to distinguish patients suffering from various symptoms with healthy people. In this paper, the four inflammation symptoms tackled in this project are Appendicitis (A), Acute Appendicitis (AA), Pancreatitis (P) and Duodenal Bulb...
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