scholarly journals Current Advances in Hyperspectral Face Recognition

2020 ◽  
Author(s):  
Rizwan Qureshi ◽  
Muhammad Uzair ◽  
Anam Zahra
Keyword(s):  
Computer Vision ◽  
Face Recognition ◽  
Hyperspectral Imaging ◽  
Hyperspectral Image ◽  
Document Image ◽  
Hyperspectral Images ◽  
Future Research ◽  
Research Directions ◽  
Future Research Directions ◽  
The Cost

Hyperspectral imaging systems are well established, for satellite, remote sensing and geosciences applications. Recently, the reduction in the cost of hyperspectral sensors and increase in the imaging speed has attracted computer vision scientists to apply hyperspectral imaging to ground based computer vision problems such as material classification, agriculture, chemistry and document image analysis. Hyperspectral imaging has also been explored for face recognition; to tackle the issues of pose and illumination variations by exploiting the richer spectral information of hyperspectral images. In this article, we present a detailed review on the potential of hyperspectral imaging for face recognition. We present hyperspectral image aquisition process and discuss key preprocessing challenges. We also discuss hyperspectral face recognition databases and techniques for feature extraction from the hyperspectral images. Potential future research directions are also highlighted

scholarly journals Current Advances in Hyperspectral Face Recognition

2020 ◽  
Author(s):  
Rizwan Qureshi ◽  
Muhammad Uzair ◽  
Anam Zahra
Keyword(s):  
Computer Vision ◽  
Face Recognition ◽  
Hyperspectral Imaging ◽  
Hyperspectral Image ◽  
Document Image ◽  
Hyperspectral Images ◽  
Future Research ◽  
Research Directions ◽  
Future Research Directions ◽  
The Cost

Hyperspectral imaging systems are well established, for satellite, remote sensing and geosciences applications. Recently, the reduction in the cost of hyperspectral sensors and increase in the imaging speed has attracted computer vision scientists to apply hyperspectral imaging to ground based computer vision problems such as material classification, agriculture, chemistry and document image analysis. Hyperspectral imaging has also been explored for face recognition; to tackle the issues of pose and illumination variations by exploiting the richer spectral information of hyperspectral images. In this article, we present a detailed review on the potential of hyperspectral imaging for face recognition. We present hyperspectral image aquisition process and discuss key preprocessing challenges. We also discuss hyperspectral face recognition databases and techniques for feature extraction from the hyperspectral images. Potential future research directions are also highlighted

MATHEMATICAL MODELLING FOR FISH FEED FORMULATION OF MYSTUS NEMURUS SP. CATFISH: OPTIMIZING GROWTH AND NUTRIENTS REQUIREMENTS

2018 ◽  
Vol 80 (6) ◽  
Author(s):  
Nur Aidya Hanum Aizam ◽  
Rabiatul Adawiyah Ibrahim ◽  
Raphael Lee Kuok Lung ◽  
Pang Yen Ling ◽  
Aidilla Mubarak
Keyword(s):  
Mathematical Model ◽  
Nutrient Composition ◽  
Future Research ◽  
Fish Feed ◽  
Research Directions ◽  
Feed Formulation ◽  
Future Research Directions ◽  
The Cost ◽  
The Mathematical Model ◽  
Mystus Nemurus

This study integrates mathematical model in the plan of producing a fish feed formulation by reducing the total cost without neglecting the nutrient requirements. This study focuses on producing the perfect combination of fish feed for Mystus nemurus sp. catfish in different stages of life. The mathematical model developed will consider their required nutrients in each stage, the cost of each ingredient and the amount of nutrients to be consumed (nutrient composition of fish feed ingredients). This research employs AIMMS mathematical software to assist with the computation. The results from this study obtain a much better combination of different ingredients compared to available commercial pellets in terms of nutrient composition and production cost. The combinations yield much cheaper costs yet boosts up the nutrient consumptions, which is an eye-opener for independent local fish farmers. Thorough discussion on utilizing the results with future research directions will also be included.

scholarly journals On the Robustness of Face Recognition Algorithms Against Attacks and Bias

2020 ◽  
Vol 34 (09) ◽  
pp. 13583-13589
Author(s):  
Richa Singh ◽  
Akshay Agarwal ◽  
Maneet Singh ◽  
Shruti Nagpal ◽  
Mayank Vatsa
Keyword(s):  
Face Recognition ◽  
Recognition Performance ◽  
Recognition Algorithm ◽  
Future Research ◽  
Research Directions ◽  
Recognition Algorithms ◽  
Future Research Directions ◽  
And Gender ◽  
Gender Variations ◽  
Very High

Face recognition algorithms have demonstrated very high recognition performance, suggesting suitability for real world applications. Despite the enhanced accuracies, robustness of these algorithms against attacks and bias has been challenged. This paper summarizes different ways in which the robustness of a face recognition algorithm is challenged, which can severely affect its intended working. Different types of attacks such as physical presentation attacks, disguise/makeup, digital adversarial attacks, and morphing/tampering using GANs have been discussed. We also present a discussion on the effect of bias on face recognition models and showcase that factors such as age and gender variations affect the performance of modern algorithms. The paper also presents the potential reasons for these challenges and some of the future research directions for increasing the robustness of face recognition models.

scholarly journals The Cost of Excessive Smartphone Use: Guilt Cross the Work-Family Domains

2021 ◽  
Vol 12 ◽  
Author(s):  
Yujing Liu ◽  
Jing Du ◽  
Yuan Li
Keyword(s):  
Future Research ◽  
Family Role ◽  
Role Performance ◽  
Research Directions ◽  
Work Related ◽  
The Family ◽  
Future Research Directions ◽  
Smartphone Use ◽  
Work Family ◽  
The Cost

Empirical evidence has accumulated showing that smartphone use at work has the double-edged sword impacts on work-related attitudes and behaviors, but little is known about how its effects transmit and spill over from the workplace to the family domain. Drawing upon compensatory ethics theory, we hypothesize positive associations of employees’ daily private smartphone use at work with their family role performance after work through feeling of guilt. Using an experience sampling methodology, we test our hypotheses in a sample of 101 employees who completed surveys across 10 consecutive workdays. Multilevel path analysis results showed that excessive smartphone use at work triggered experienced guilt, and had a positive indirect effect on family role performance via feeling of guilt. Furthermore, employees with high ability of emotion regulation can be better resolve own painful emotion by engaging in family role performance. Theoretical and practical implications, limitations, and propose future research directions are discussed.

scholarly journals COMPUTER VISION FOR COVID-19 CONTROL: A SURVEY

2020 ◽  
Author(s):  
Anwaar Ulhaq ◽  
Asim Khan ◽  
Douglas Pinto Sampaio Gomes ◽  
Manoranjan Paul
Keyword(s):  
Artificial Intelligence ◽  
Computer Vision ◽  
Human Population ◽  
Preliminary Review ◽  
Future Research ◽  
Research Directions ◽  
Survey Paper ◽  
Recent Success ◽  
Future Research Directions ◽  
Research Resources

The COVID-19 pandemic has triggered an urgent need to contribute to the fight against an immense threat to the human population. Computer Vision, as a subfield of Artificial Intelligence, has enjoyed recent success in solvingvarious complex problems in health care and has the potential to contribute to the fight of controlling COVID-19. In response to this call, computer vision researchers are putting their knowledge base at work to devise effective ways to counter COVID-19 challenge and serve the global community. New contributions are being shared with everypassing day. It motivated us to review the recent work, collect information about available research resources and an indication of future research directions. We want to make it available to computer vision researchers to save precious time. This survey paper is intended to provide a preliminary review of the available literature on the computer vision efforts against COVID-19 pandemic.

scholarly journals A Comprehensive Survey of COVID-19 Detection Using Medical Images

2020 ◽  
Author(s):  
Faisal Muhammad shah ◽  
Sajib Kumar Saha Joy ◽  
Farzad Ahmed ◽  
Mayeesha Humaira ◽  
Amit Saha Ami ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Medical Images ◽  
Future Research ◽  
Research Directions ◽  
X Ray ◽  
Time Period ◽  
Comprehensive Survey ◽  
Future Research Directions ◽  
The Cost ◽  
Day By Day

The outbreak of the COVID-19 pandemic caused the death of a large number of people. Millions ofpeople are infected by this virus and are still getting infected day by day. As the cost and required time ofconventional RT-PCR tests to detect COVID-19, researchers are trying to use medical images like X-Ray andComputed Tomography (CT) images to detect it with the help of Artificial Intelligence (AI) based systems. Inthis paper, we reviewed some of these newly emerging AI-based models that can detect COVID-19 frommedical images using X-Ray or CT of lung images. We collected information about available research resourcesand inspected a total of 80 papers from the time period of February 21, 2020 to June 20, 2020. We explored andanalyzed datasets, preprocessing techniques, segmentation, feature extraction, classification and experimentalresults which can be helpful for finding future research directions in the domain of automatic diagnosis ofCovid-19 disease using Artificial Intelligence (AI) based frameworks.

Research of Condition Monitoring and Fault Diagnosis Techniques for Wind Turbine Gearbox

2012 ◽  
Vol 197 ◽  
pp. 206-210 ◽  
Author(s):  
Xian You Zhong ◽  
Liang Cai Zeng ◽  
Chun Hua Zhao ◽  
Jin Zhang ◽  
Shi Qing Wan
Keyword(s):  
Fault Diagnosis ◽  
Wind Turbine ◽  
Condition Monitoring ◽  
Future Research ◽  
Wind Turbine Gearbox ◽  
Research Directions ◽  
Long Time ◽  
Future Research Directions ◽  
Wind Power Industry ◽  
The Cost

Wind power industry enormously expanded during the last several years. However, wind turbines are subjected to different sorts of failures, which lead to the increasement of the cost. The wind turbine gearbox is the most critical component in terms of high failure rates and long time to repair. This paper described common failures and root causes of wind turbine gearboxes. Then it focused on fault diagnosis and monitoring techniques for the wind turbine gearbox. The challenges and future research directions were presented, and the simulator rig of wind turbine gearbox was designed to develop condition monitoring and fault diagnosis techniques for wind turbine gearbox.

scholarly journals Augmented and Mixed Reality in Language Learning

2021 ◽  
Vol 4 (2) ◽  
pp. 28
Author(s):  
Panagiotis Panagiotidis
Keyword(s):  
Language Learning ◽  
Technological Progress ◽  
Mixed Reality ◽  
Language Education ◽  
Future Research ◽  
Research Directions ◽  
Technological Developments ◽  
Future Research Directions ◽  
The Cost ◽  
Network Technologies

The use of Extended Reality technologies in education, and especially in language learning, has attracted the interest of language experts for the last 15 years. However, the recent technological progress as well as the simultaneous dramatic reduction of the cost of the necessary hardware has led to an impressive growth of the XR market, creating, thus, new perspectives concerning the adoption of XR technologies in education. The educational XR market is also growing very fast, not only thanks to the offer of innovative applications, but also due to technological developments in network technologies. Advances in wireless and cellular networks can make XR experiences more immersive and more accessible to local and remote users. This paper aims to present the current developments in the field of utilization of Augmented (AR) and Mixed Reality (MR) technologies in language education and to explore their future perspectives. Towards this end, AR/MR technologies, the theoretical bases of their use in language education, as well as the available for each technology hardware and software solutions are presented in more detail. Examples of AR/MR technologies in language learning applications, as well as the conclusions drawn from the literature review concerning the benefits and limitations AR/MR applications in language learning will also be presented. Finally, market data and future research directions will be discussed, in order to identify the perspectives of these technologies in language learning.

Computer vision technologies for safety science and management in construction: A critical review and future research directions

2021 ◽  
Vol 135 ◽  
pp. 105130
Author(s):  
Brian H.W. Guo ◽  
Yang Zou ◽  
Yihai Fang ◽  
Yang Miang Goh ◽  
Patrick X.W. Zou
Keyword(s):  
Computer Vision ◽  
Critical Review ◽  
Future Research ◽  
Research Directions ◽  
Safety Science ◽  
Future Research Directions
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