Abstract Bacterial wilt (BW), caused by the soil-borne Ralstonia solanacearum, is a major disease... more Abstract Bacterial wilt (BW), caused by the soil-borne Ralstonia solanacearum, is a major disease in cultivated tomato (Solanum lycopersicum L.). Host resistance provides an environment-friendly and cost-effective strategy to control this disease. To investigate quantitative trait loci (QTL) for BW resistance, we conducted a genome-wide association study (GWAS) in a core collection of 191 tomato varieties. The 51 K Axiom® tomato array was used for genotyping and 38,541 confident SNPs were filtered for GWAS. We evaluated disease severity of the core collection in two independent seedling assays following inoculation with race 1 of R. solanacearum. A total of eight marker-trait associations (MTAs) for BW resistance was detected at P
Understanding the properties of the electromagnetic field in many electric machines is the necess... more Understanding the properties of the electromagnetic field in many electric machines is the necessary requirement in the operation of an electric machine. However, the measurement of the magnetic field is a challenging task, even if the measurement is possible, the engineer need to equip the expensive specialized types of instruments. Therefore, it is essential in the electromagnetic simulation of the electric devices such as three-phase motor or transformer under many operating conditions. In this paper, we propose to use the student version of Quick Field software to demonstrate the electromagnetic field in different electric machines. The results show that we can easily set up and visualize the electromagnetic field inside the machines in many operation conditions such as electrostatic, AC transient, non-load losses, and harmonics.
High-quality translation is time-consuming and an expensive process. Named Entity (NE) Translatio... more High-quality translation is time-consuming and an expensive process. Named Entity (NE) Translation, including proper names, remains a very important task for multilingual natural language processing. Most of the gold standard corpora are available for English but not for under-resourced languages such as Vietnamese. In Asian languages, this task is remained problematic. This paper focuses on a named entity translation approach by cross-linguistic projection for French-Vietnamese, a poor-resourced pair of languages. We incrementally apply a cross-projection method using a small parallel annotated corpora, such as the surface string matching measures according to probabilistic string edit distance similarity and an additional score of syllable consistence feature between the source term and the target term by a syllabification process. Evaluations on French-Vietnamese pair show a good accuracy with BLEU gain more than 4 points when translating bilingual named entities pairs.
IEEE Transactions on Information Forensics and Security, 2021
Making face recognition more reliable under uncontrolled lighting conditions is one of the most i... more Making face recognition more reliable under uncontrolled lighting conditions is one of the most important challenges for practical recognition systems. The reasons come from the need for automatic recognitions and security systems. To overcome this problem, we propose a novel illumination compensation method called adaptive high-order singular value decomposition to enhance face images at the preprocessing step of the face recognition system. First, we present an RGB color face image as a third-order tensor. Then, adaptive high-order singular value decomposition is proposed to adjust the core tensor automatically by multiplying three frontal slices of the core tensor with their corresponding compensation weight coefficients while keeping the third inverse factor fixed. The experiments performed on five of the most famous public color face databases, namely CMU-PIE, Color FERET, FEI, LFW, and IJB-C reveal that adaptive high-order singular value decomposition not only yields compensated images that are clear, natural, and smooth but also considerably improves the accuracy and computing time of face recognition.
Abstract Bacterial wilt (BW), caused by the soil-borne Ralstonia solanacearum, is a major disease... more Abstract Bacterial wilt (BW), caused by the soil-borne Ralstonia solanacearum, is a major disease in cultivated tomato (Solanum lycopersicum L.). Host resistance provides an environment-friendly and cost-effective strategy to control this disease. To investigate quantitative trait loci (QTL) for BW resistance, we conducted a genome-wide association study (GWAS) in a core collection of 191 tomato varieties. The 51 K Axiom® tomato array was used for genotyping and 38,541 confident SNPs were filtered for GWAS. We evaluated disease severity of the core collection in two independent seedling assays following inoculation with race 1 of R. solanacearum. A total of eight marker-trait associations (MTAs) for BW resistance was detected at P
Understanding the properties of the electromagnetic field in many electric machines is the necess... more Understanding the properties of the electromagnetic field in many electric machines is the necessary requirement in the operation of an electric machine. However, the measurement of the magnetic field is a challenging task, even if the measurement is possible, the engineer need to equip the expensive specialized types of instruments. Therefore, it is essential in the electromagnetic simulation of the electric devices such as three-phase motor or transformer under many operating conditions. In this paper, we propose to use the student version of Quick Field software to demonstrate the electromagnetic field in different electric machines. The results show that we can easily set up and visualize the electromagnetic field inside the machines in many operation conditions such as electrostatic, AC transient, non-load losses, and harmonics.
Abstract Bacterial wilt (BW), caused by the soil-borne Ralstonia solanacearum, is a major disease... more Abstract Bacterial wilt (BW), caused by the soil-borne Ralstonia solanacearum, is a major disease in cultivated tomato (Solanum lycopersicum L.). Host resistance provides an environment-friendly and cost-effective strategy to control this disease. To investigate quantitative trait loci (QTL) for BW resistance, we conducted a genome-wide association study (GWAS) in a core collection of 191 tomato varieties. The 51 K Axiom® tomato array was used for genotyping and 38,541 confident SNPs were filtered for GWAS. We evaluated disease severity of the core collection in two independent seedling assays following inoculation with race 1 of R. solanacearum. A total of eight marker-trait associations (MTAs) for BW resistance was detected at P
Understanding the properties of the electromagnetic field in many electric machines is the necess... more Understanding the properties of the electromagnetic field in many electric machines is the necessary requirement in the operation of an electric machine. However, the measurement of the magnetic field is a challenging task, even if the measurement is possible, the engineer need to equip the expensive specialized types of instruments. Therefore, it is essential in the electromagnetic simulation of the electric devices such as three-phase motor or transformer under many operating conditions. In this paper, we propose to use the student version of Quick Field software to demonstrate the electromagnetic field in different electric machines. The results show that we can easily set up and visualize the electromagnetic field inside the machines in many operation conditions such as electrostatic, AC transient, non-load losses, and harmonics.
High-quality translation is time-consuming and an expensive process. Named Entity (NE) Translatio... more High-quality translation is time-consuming and an expensive process. Named Entity (NE) Translation, including proper names, remains a very important task for multilingual natural language processing. Most of the gold standard corpora are available for English but not for under-resourced languages such as Vietnamese. In Asian languages, this task is remained problematic. This paper focuses on a named entity translation approach by cross-linguistic projection for French-Vietnamese, a poor-resourced pair of languages. We incrementally apply a cross-projection method using a small parallel annotated corpora, such as the surface string matching measures according to probabilistic string edit distance similarity and an additional score of syllable consistence feature between the source term and the target term by a syllabification process. Evaluations on French-Vietnamese pair show a good accuracy with BLEU gain more than 4 points when translating bilingual named entities pairs.
IEEE Transactions on Information Forensics and Security, 2021
Making face recognition more reliable under uncontrolled lighting conditions is one of the most i... more Making face recognition more reliable under uncontrolled lighting conditions is one of the most important challenges for practical recognition systems. The reasons come from the need for automatic recognitions and security systems. To overcome this problem, we propose a novel illumination compensation method called adaptive high-order singular value decomposition to enhance face images at the preprocessing step of the face recognition system. First, we present an RGB color face image as a third-order tensor. Then, adaptive high-order singular value decomposition is proposed to adjust the core tensor automatically by multiplying three frontal slices of the core tensor with their corresponding compensation weight coefficients while keeping the third inverse factor fixed. The experiments performed on five of the most famous public color face databases, namely CMU-PIE, Color FERET, FEI, LFW, and IJB-C reveal that adaptive high-order singular value decomposition not only yields compensated images that are clear, natural, and smooth but also considerably improves the accuracy and computing time of face recognition.
Abstract Bacterial wilt (BW), caused by the soil-borne Ralstonia solanacearum, is a major disease... more Abstract Bacterial wilt (BW), caused by the soil-borne Ralstonia solanacearum, is a major disease in cultivated tomato (Solanum lycopersicum L.). Host resistance provides an environment-friendly and cost-effective strategy to control this disease. To investigate quantitative trait loci (QTL) for BW resistance, we conducted a genome-wide association study (GWAS) in a core collection of 191 tomato varieties. The 51 K Axiom® tomato array was used for genotyping and 38,541 confident SNPs were filtered for GWAS. We evaluated disease severity of the core collection in two independent seedling assays following inoculation with race 1 of R. solanacearum. A total of eight marker-trait associations (MTAs) for BW resistance was detected at P
Understanding the properties of the electromagnetic field in many electric machines is the necess... more Understanding the properties of the electromagnetic field in many electric machines is the necessary requirement in the operation of an electric machine. However, the measurement of the magnetic field is a challenging task, even if the measurement is possible, the engineer need to equip the expensive specialized types of instruments. Therefore, it is essential in the electromagnetic simulation of the electric devices such as three-phase motor or transformer under many operating conditions. In this paper, we propose to use the student version of Quick Field software to demonstrate the electromagnetic field in different electric machines. The results show that we can easily set up and visualize the electromagnetic field inside the machines in many operation conditions such as electrostatic, AC transient, non-load losses, and harmonics.
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