The area of security of biometric access control systems is a rapidly growing field of scientific studies, diversely applicable in banking, electronic payment, etc. The paper presents the implementation of an intellig...
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A Microgrid (MG) is an independent grid with both load and its own generation that has the option to be connected to the grid or can be islanded. Intelligent monitoring and control of MG make it as a building block fo...
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This paper deals with a methodology for test synthesis and verification of VLSI and ASIC systems using an automatic functional test generator (AFTG). The proposed approach-the functional test generation methodology is...
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ISBN:
(纸本)9539676916
This paper deals with a methodology for test synthesis and verification of VLSI and ASIC systems using an automatic functional test generator (AFTG). The proposed approach-the functional test generation methodology is based on specification and functional description of VLSI/ASIC systems. The determination of the test efficiency of instructions mixes is discussed.
There are existing standard solvers for tackling discrete op timization p roblems. However, in p ractice, it is uncommon to apply them directly to the large inp ut space typical of this class of p roblems. Rather, the...
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How to speed up the scanning process is the bottleneck problem of magnetic resonance imaging (MRI). As a newly developed mathematical framework of signal sampling and recovery, compressed sensing (CS) provides a solut...
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Micro-expression (ME) recognition reveals nonverbal emotions through subtle, involuntary facial muscle movements. However, the development and commercialization of ME recognition systems have been hindered by the lack...
Micro-expression (ME) recognition reveals nonverbal emotions through subtle, involuntary facial muscle movements. However, the development and commercialization of ME recognition systems have been hindered by the lack of databases that accurately reflect real-world conditions. This study addresses this challenge by proposing a robust end-to-end system designed to operate effectively in unconstrained environments. Existing methods typically rely on a single apex frame, which may be unreliable due to noise, occlusions, or lighting variations. To address these issues, a 3D facial reconstruction technique is applied as a pre-processing step to normalize pose and lighting. A novel dual-peak frame detection strategy is then introduced to extract two expressive optical flow frames, reducing the impact of noise from any single frame. Finally, a Shallow and Small-size Dual-input (SSD) CNN architecture is designed to jointly process the two frames for improved emotion classification. The proposed system achieves strong performance on the challenging in-the-wild MEVIEW dataset, with accuracy and F1-score of 75 % and 77.68 %, respectively. Comprehensive evaluations further validate the effectiveness of the pipeline, highlighting its potential for real-world ME recognition applications.
Nowadays, smart mobile devices (SMDs) support various computation-intensive and delay-sensitive applications, e.g., online games, and figure compression. However, SMDs have limited computing resources and battery ener...
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Philippines experience frequent flash flooding, usually with insufficient lead time which causes panic and fear to the people. In spite of decades of effort by the government and the private sectors to improve observa...
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ISBN:
(纸本)9789881925244
Philippines experience frequent flash flooding, usually with insufficient lead time which causes panic and fear to the people. In spite of decades of effort by the government and the private sectors to improve observations and warning, flash floods continue to be one of nature's worst killers. On the average, there is at least one disastrous flood every four (4) years in the Philippines [1|. This paper proposed to develop a technology on Flash Flood Warning System Using SMS with advanced warning information based on prediction algorithm devised by the researcher regarding increasing water level and water speed. These two factors were considered as triggers to the flashflood, thus become components of the regression algorithm devised by the researchers. Based on the training data captured for seven days, the regression equation was developed while the actual/real time data were input to the regression model. Prediction of the current and forthcoming risk on flood is computed by the system based on the model and is sent through SMS to registered users for early warning purposes.
Due to advancements in brain signal application technology, there has been a growing focus on the human speech Brain-computer Interface (BCI) in recent years. An essential initial phase in crafting speech recognition ...
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