Comparative study on the performance of face recognition algorithms

Facial and object recognition are more and more applied in our life. Therefore, this field has become important to both academicians and practitioners. Face recognition systems are complex systems using features of the face to recognize. Current face recognition systems may be used to increase work efficiency in various methods, including smart homes, online banking, traffic, sports, robots, and others. With various applications like this, the number of facial recognition methods has been increasing in recent years. However, the performance of face recognition systems can be significantly affected by various factors such as lighting conditions, and different types of masks (sunglasses, scarves, hats, etc.). In this paper, a detailed comparison between face recognition techniques is exposed by listing the structure of each model, the advantages and disadvantages as well as performing experiments to demonstrate the robustness, accuracy, and complexity of each algorithm. To be detailed, let’s give a performance comparison of three methods for measuring the efficacy of face recognition systems including a support vector machine (SVM), a visual geometry group with 16 layers (VGG-16), and a residual network with 50 layers (ResNet-50) in real-life settings. The efficiency of algorithms is evaluated in various environments such as normal light indoors, backlit indoors, low light indoors, natural light outdoors, and backlit outdoors. In addition, this paper also evaluates faces with hats and glasses to examine the accuracy of the methods. The experimental results indicate that the ResNet-50 has the highest accuracy to identify faces. The time to recognize is ranging from 1.1s to 1.2s in the normal environmen

Adaptation options for agricultural cultivation systems in the South Central Coast under the context of climate change: Assessment Report.

This report highlights the results of consultation meetings and field visits organized by the Department of Crop Production and the CGIAR Research Program on Climate Change, Agriculture and Food Security in Southeast Asia in association with the three offices of the Department of Agriculture and Rural Development in the South Central Coast provinces of Binh Thuan, Ninh Thuan, and Khanh Hoa, in combination with consultation with the provinces in the conference: “Summing up crops production in the Winter-Spring season in 2018-2019, implementing the Summer-Autumn season, Main rice season in 2019 for the South Central Coast and the Central Highlands” held by the Ministry of Agriculture and Rural Development in Tam Ky City, Quang Nam Province on 12 April 2019. The meetings underlined the progress made by the provinces on climate change adaptation and mitigation, options for risk reductions in agricultural production, and conversion of crop structure as results of implementing the guidelines of the provinces and the Sector, especially, solutions for reservation and efficient and economic use of water under the context of climate change. This assessment report also reviews some issues related to the agricultural transformation of the region in adapting to risks caused by climate change. They are based on comparative advantages in terms of geographical location and market of key agricultural products. This report also points out shortcomings in using land and unreasonable points in managing and using important natural resources, especially water, and provides recommendations for the agricultural transformation and inter-regional connection with the Central Highlands and the Southeast. The team also introduces climate-related risks maps and adaptation plans (CS MAP) which is applied in the five provinces in the Mekong Delta Region, and hopes this solution’s expansion shall be supported by the Ministry of Agriculture and Rural Development and the provinces

GROUNDWATER IN CU LAO CHAM ISLAND

Joint Research on Environmental Science and Technology for the Eart

IN VITRO EVALUATION OF ANTIBACTERIAL ACTIVITY OF GARLIC ALLIUM SATIVUM AGAINST POULTRY PATHOGENS AND EFFECT OF GARLIC SUPPLEMENTATION ON DUCKLING GROWTH PERFORMANCE

ABSTRACT-QMFS2019Poultry production provides source of protein and contributes an important income for Vietnamese farmers. Among the poultry in Vietnam, ducks account for 27.3% of head of poultry and even 55.7% in Mekong Delta region. Along with the development of rearing ducks, bacterial, viral and fungal diseases occurring in the two last decades induced bad effect for poultry producer. Escherichia coli, Salmonella enterica, Streptococcal or Pasteurella act as major pathogenic bacteria in duck. The aims of this study were to investigate the antibacterial activity of garlic Allium sativum against E. coli, Staphylococcus aureus, Salmonella Typhimurium and to evaluate the effect of garlic on growth performance of duck from 1-28 old-days. The results indicated that fresh garlic and dried garlic powder showed inhibitory effect against pathogenic tested strains from 2% and 4% w/v, respectively. The inhibition zones and the minimal inhibitory concentration (MIC) values of garlic extract ranged from 11.3-28.3 mm and 0.02-0.2 g/ml, respectively. After 28 days of diet with garlic supplemented, D3 (2% of fresh garlic in water) showed significantly different in weight gain (WG), feed conversion ratio (FCR), protein efficiency ratio (PER), average daily weight (ADW); whereas, D2 (2% of garlic powder in basal diet) only possessed a difference significant in feed consumption (FC) compared to the D1 (control without garlic supplementation). The obtained results demonstrated the potential of garlic application in poultry production

TRAPPING CAPABILITY OF MICROLENS 2D ARRAY BY ACOUSTIC MODULATION

In this article, the microlens 2D array created in acoustic-optical medium by the ultrasonic wave modulation is proposed. The expression described the refractive index induced by cross-interference of two perpendicular ultrasonic waves is approximately derived. By simulation, the 2D array of the Gradedrefractive index lenses are appeared in the thin layer with certain strain-acoutstic constant and thickness. The  dependence of focal length and the radius of lens, i.e. its numerical aperture (AN) on thickness and strain constant of layer, and ultrasonic wave intensity are simulated and trapping capability of optical tweezer array is discussed

Autologous Transplantation of Adipose-Derived Stem Cells to Treat Acute Spinal Cord Injury: Evaluation of Clinical Signs, Mental Signs, and Quality of Life

BACKGROUD: Spinal cord injury (SCI) is damage that can cause a temporary or permanent change in spinal cord functions AIM: This work evaluates clinical signs, mental signs, and quality of life (QoL) after autologous adipose-derived stem cells (ADSCs) transplantation to treat acute spinal cord injury (SCI). MATERIAL AND METHODS: In this study, 47 SCI patients were recruited and divided into two groups: intervention and control. ADSCs were isolated and cultured under the cell culture quality control procedure. All patients in both groups underwent neurosurgery with or without ADSC transplantation. The recovery regarding neurological muscle, QoL, neurogenic bladder, and mental improvement was assessed after transplantation. RESULTS: All patients had improved in terms of motor function, bladder function, and daily living. No patients reported any side effect. MRI imaging showed significant changes in the lesion length of the spinal canal and the thickening of the spinal cord. Mental improvement was highest at six months after transplantation and lowest at one month after transplantation. The proportion of patients whose quality of life improved after treatment was 100%, while 80% of patients were satisfied with treatment outcomes. CONCLUSIONS: Thus, our data suggested that ADSCs transplantation was safe and effective for the treatment of SCI patients. Neurological muscle and neurogenic bladder were improved significantly after transplantation