Implementing aliasing-free (zero-aliasing) space compressors for built-in self-testing of very large scale integration circuits and systems is of great significance, especially in view of the technological paradigm sh...
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ISBN:
(纸本)9781479961153
Implementing aliasing-free (zero-aliasing) space compressors for built-in self-testing of very large scale integration circuits and systems is of great significance, especially in view of the technological paradigm shift in recent years from system-on-board to system-on-chip design. This paper investigates and provides new approach to realizing aliasing-free elementary-tree space compaction hardware targeting specifically embedded cores-based system-on-chips for single stuck-line faults, extending well-known concept from conventional switching theory, viz. that of compatibility relation as used in the minimization of incompletely specified sequential machines. For a pair of response data outputs of the circuit under test, the paper introduces the notion of fault detection compatibility and conditional fault detection compatibility (conditional upon some other response output pair being simultaneously fault detection compatible) with respect to two-input AND/NAND and XOR/XNOR logic. The process is illustrated in the paper with details of synthesis of space compressors for the International Symposium on Circuits and Systems (ISCAS) 85 combinational and ISCAS 89 full-scan sequential benchmark circuits using fault simulation programs ATALANTA, FSIM and HOPE, exemplifying the relevance of the technique from the standpoint of simplicity, resultant low area overhead and full fault coverage for single stuck-line faults, making it thus a logical choice in commercial design environments.
This paper reviews different methods of thermal analysis, highlighting advantages, drawbacks, and limits. It represents the basics for both analytical methods and numerical ones; which the analytical method is discuss...
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This paper reviews different methods of thermal analysis, highlighting advantages, drawbacks, and limits. It represents the basics for both analytical methods and numerical ones; which the analytical method is discussed more in detail, including thermal coefficients relevant issues. Also, different applications are investigated, and related analytical and numerical techniques are represented. The aim is to give an exhaustive treatise of the various aspects concerning the thermal analysis. The key issues in thermal problem are represented. This paper is aimed as a tutor for designers who may be unfamiliar with this particular type of concepts; also they are leaded to some useful references for more details and investigation.
The logistics vehicle scheduling optimization is a hot issue in the field,and its research can greatly reduce transportation costs,and meet the different needs of the logistics supply chain to the maximum extent,and t...
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The logistics vehicle scheduling optimization is a hot issue in the field,and its research can greatly reduce transportation costs,and meet the different needs of the logistics supply chain to the maximum extent,and to promote the improvement and development of logistics management has a very important significance and broad application *** recent years,scholars of domestic distribution vehicle scheduling optimization study outcomes were systematically organize,and commentary from many aspects of the models,algorithms,research methods,and discusses some of the problems and prospects for future research direction.
Today, human detection and tracking is important challenge for many aims. In this study, we are used Ultra Wide Band (UWB) radar for human respiratory detection behind a wall. The modulated system to get the breathing...
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This is a milestone paper of the Coordinating Committee on Manufacturing and Logistics Systems (CC5) of the International Federation of Automatic Control (IFAC). Classical applications of control engineering and infor...
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In this paper, a multi-band planar printed monopole antenna for wireless communication system is presented. The antenna has been designed based on meander lines monopole printed elements and the rectangular ground str...
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In this paper, a multi-band planar printed monopole antenna for wireless communication system is presented. The antenna has been designed based on meander lines monopole printed elements and the rectangular ground structure. The each element of meander lines is designed with a half wavelength to radiate at a frequency of 3.6 and 5.8 GHz for Wireless Local Area Network (WLAN) application. The 50 ohm probe feed SMA type is used to feed the signal into the antenna structure. The proposed antenna is designed and simulated by using computer Simulation technology (CST) software. The antenna performance is analyzed in term of the return loss, bandwidth, gain, directivity, surface current and radiation pattern at the design frequency. The bandwidth of reflection coefficient which are less than - 10 dB can be seen at (f1-f2) 125 MHz, (f1-f2) 359 MHz and (f1-f2) 197 MHz.
This paper presents an automatic system for recognition of bird species from field audio recordings. The proposed system employs a novel method for detection of sinusoidal components in the acoustic scene. This provid...
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ISBN:
(纸本)9781479928941
This paper presents an automatic system for recognition of bird species from field audio recordings. The proposed system employs a novel method for detection of sinusoidal components in the acoustic scene. This provides a segmentation of the signal and also feature representation of each segment in terms of frequencies over time, referred to as frequency track. We employ hidden Markov models (HMMs) to model the temporal evolution of frequency tracks. We demonstrate the effect of including local temporal dynamics of frequency tracks and HMM modelling parameters. Experiments are performed on over 33 hours of field recordings, containing 30 bird species. Evaluations demonstrate that the HMM-based temporal modelling provides considerable performance improvement over a system based on Gaussian mixture modelling. The proposed HMM-based system is capable of recognising bird species with accuracy over 85% from only 3 seconds of detected signal.
Ionization satellite scintillation is the most effective variable on global navigation satellite systems (GNSSs) such as the global positioning system (GPS). In the GPS communication system, the channel is impacted by...
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Ionization satellite scintillation is the most effective variable on global navigation satellite systems (GNSSs) such as the global positioning system (GPS). In the GPS communication system, the channel is impacted by the scintillation problem which produces rapid fluctuations on the propagated signals and causes positioning error. Since Malaysia is located on the equatorial region, scintillation satellite effects should be analyzed especially in this region where scintillation activity is maximum. In this paper, the latest specifications of the GNSS receiver is used to measure the scintillation intensity and the total electrons content (TEC). The GNSS receiver is a dual frequency (L1 = 1.57542 GHz and L2 = 1.2276 GHz) monitor which is located at Universiti Teknikal Malaysia Melaka (UTeM), Malaysia (2.3139° N, 102.3183° E). The GPS data samples is collected and analyzed for the period of 3 months with sample of every 60 seconds for 24 hours daily. The scintillation amplitude, the elevation angle, the carrier-to-noise ratio, and availability of GPS satellites are reported in the proposed experimental GPS model.
Object Tracking based on Active Contour Modeling is an image processing based technology that uses snapshots of the object under consideration to track it via robot in the real world. The objective has been to impleme...
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Object Tracking based on Active Contour Modeling is an image processing based technology that uses snapshots of the object under consideration to track it via robot in the real world. The objective has been to implement a unique methodology that employs the pursuing and adapting of contour to the current state of image, and hence track the object. The system can be implemented in drone planes wherein this algorithm can be used to guide the movement of the gun based on the movements of the object, or, in robot games with a slightly more advanced robot. Initially Image Processing is performed to reduce operation complexity and achieve swift real-time performance. A set of contour-based modeling algorithms is then implemented to `actively' track the subject. Also, relative transformation calculations are made to lock the target via robot, continuously. MATLAB is used to simulate and implement the system and it is tested on field with a ball placed on it and a robot tracking the ball. The experiments prove that the system successfully detects and tracks the object efficiently in the real world for all horizontal and vertical transitions.
This paper presents a fuzzy logic-based traffic incident detection system to detect a lane-blocking traffic incident that usually causes of traffic congestion. The proposed system uses fuzzy logic to identify traffic ...
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ISBN:
(纸本)9781479929948
This paper presents a fuzzy logic-based traffic incident detection system to detect a lane-blocking traffic incident that usually causes of traffic congestion. The proposed system uses fuzzy logic to identify traffic status as normal and abnormal. Macroscopic and microscopic traffic variables, namely, mean speed and standard deviation of inter-arrival time are used as inputs to the fuzzy inference system (FIS). As traffic variables have many fluctuations which are considered as noisy signals, discrete wavelet transform (DWT) as used for de-noising and also extracting features from noisy signals. It is found that the proposed system that uses DWT can give higher detection rate when compared with the system without DWT. Furthermore, the majority voting is also applied to the outputs of FIS in order to increase detection rate. Finally, based on simulation results, the performance of the proposed detection system for lane-blocking traffic incidents will be shown.
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