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Mass spectrometry (MS) is a technique that is applied in chemical and biomedical applications for molecular analysis. MS data has extremely high dimensionality that can be represented as a three dimension(3D) dataset. In this paper, we exploit 3D data structure and propose an effective model of compressive sensing (CS) for dimensionality reduction of MS data. A large set of MS data can be reduced...
An empirical study investigating the pervasiveness and distribution of indirect function calls via function pointers and virtual methods in middleware software systems is presented. The study encompasses a broad gamut of software systems that range from high-performance, distributed real-time embedded systems, to fully-featured professional 3D game engines; comprising in aggregate nearly five million...
As embedded systems become increasingly complex, there is a great need to equip engineering students with the knowledge of advanced embedded software development techniques so as to improve their efficiency in software development and programming. This paper presents our experiences of introducing the model-based design (MBD) methodology to two computer engineering related undergraduate courses: Programming...
Navigation systems for drivers tend to vocalize what they want, when they want. Drivers who need to clarify instructions are often required to read directions in text form, which is a safety risk during real-time control. Instead, we investigate how a two-way-audio command interface might work. Data is easily extracted from text directions so that questions can be answered without knowledge of the...
This paper proposes an Internet of Things (IoT)-enabled multiagent system (MAS) for residential DC microgrids (RDCMG). The proposed MAS consisting of smart home agents (SHAs) aims to cooperate each other to alleviate the peak load of the RDCMG and to minimize the electricity costs for smart homes. These are achieved by agent utility functions and the best operating time algorithm (BOT) in the MAS...
Spectrum sensing is one of the key technologies of cognitive radio. Based on noise characteristics estimation and support vector machine (SVM) technology, this paper proposed a frequency domain two-stage spectrum sensing method to improve sensing accuracy under low signal-to-noise ratio scenarios with low system complexity and high generalization ability. In the slow sensing stage, the frequency-domain...
This paper introduce into the International Simulation Science Semester concept from learning research to actually doing research at Clausthal University of Technology (TUC). It gives an overview on the topics and the pedagogical method behind this transformative approach. Moreover, it introduce in the international student team research project work and their results.
The oil and gas industry has an increased interest reducing their handling costs through process optimization. The low crude oil price and the sobering forecast for future price development are pushing companies working in this area to reduce costs. Hence, agile software methods are increasingly of interest in this business area. They have evolved from a trend towards a preferred approach which is...
This paper proposes a novel estimator for active and reactive power control of single-phase power electronic applications. The proposed estimator includes: 1) an instantaneous grid power regression model; 2) a fast upper-triangular and diagonal recursive least square (FUDRLS) algorithm for parameter identification of the regression model; and 3) a new self-tuning variable forgetting factor included...
The microbial diversity and taxonomic profiles of human microbiome carries indicative signals associated with several complex human diseases. Methods quantifying and differentiating profiles belonging to healthy/disease microbiomes have a potential to be used as non-invasive diagnostic tools. 16S rRNA sequencing is a currently popular and feasible technology to generate the required data for such...
Outpatient practice forms an integral part of medical care for patients needing care who are not admitted into the hospital, but receive the needed care and are discharged the same day which also largely includes primary care service. The growing demand for primary care physicians added by the complexity in managing outpatient practice effectively demands an optimized practice management system to...
A case study is presented that empirically analyzes the use of known unsafe functions in gcc, a well-known general purpose software system, along with their distribution over a 5-year period from, 2012 through 2016. The 5-year history of gcc studied is comprised of a total of over 26 million lines of code. gcc was statically analyzed with the use of srcML and a tool created by one of the authors....
With the increasing exposure of critical infrastructures to external factors, critical infrastructure protection gained attention within security research. To develop protection methods the effect of external factors on critical infrastructures has to be known. In this paper we present an event-based, dynamic modeling approach using power flow analysis and network flow analysis to simulate this effect...
The solid-state lighting is modernizing the indoor illumination. As LEDs replaced current incandescent and fluorescent lamps rapidly. Moreover, the LEDs have numerous advantages such as extremely high energy efficient, longer lifespan, lower heat generation, and enhance color rendering without using noxious chemicals. Since LEDs are able to switch to different light intensity at a very fast rate,...
In many refrigeration and air-conditioning systems, the automatic controller in electronic expansion valves have been employed as a component responsible for controlling the valve opening so that the superheat at the outlet of the evaporator remains within the desired limits. In most of these controllers, the control parameters are tuned once for a certain operating point and remain unaltered even...
In this paper, the single-channel EEG based classification systems using simple extracted features are investigated. Each classification system contains the following stages: data acquisition, signal decomposition, feature extraction, and classification. In addition to using the filter bank and empirical mode decomposition (EMD) methods for signal decomposition, a sparse discrete wavelet packet transform...
In this paper, a closed-form physics-based surface potential approach is proposed to derive a compact model for current in high-frequency and high-power LDMOS transistors. For this purpose, we have modeled the drift region with three variable resistors. Effects of velocity saturation in the channel as well as the quasi-saturation due to the existence of the N-Drift region have been taken into account...
In this paper, we introduce the possible texturing methods and their effects on the performance of multicrystalline silicon solar cells. A 2-D process and device simulator is used for this purpose and the resultant efficiency increase is studied. The optimized texturing angel is deducted by theoretical calculations of ray tracing. Theoretical calculations show that the best texturing angle to have...
In this paper, we study a Day-ahead Market(DAM) double energy auction in a distribution system involving dispatchable generation units, renewable generation units supported by battery storage systems(BSSs), fixed loads, price responsive loads, and supply from the Wholesale Market(WSM) at Locational Marginal Price (LMP). The auction is implemented within a Distribution System Operator (DSO) premises...
The application of energy storage technology in high penetration renewable energy systems are reviewed in this paper. Firstly, the characteristics of power system with high penetration renewable energy are analyzed. Secondly, the research direction and research status of domestic and international energy storage technology in high penetration renewable energy system are introduced. Then the application...
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