scholarly journals RGB-D Data-Based Action Recognition: A Review

Sensors ◽  
2021 ◽  
Vol 21 (12) ◽  
pp. 4246
Author(s):  
Muhammad Bilal Shaikh ◽  
Douglas Chai
Keyword(s):  
Data Fusion ◽  
Action Recognition ◽  
Cost Effective ◽  
Research Direction ◽  
Research Problem ◽  
Future Research ◽  
Ongoing Research ◽  
Emerging Trends ◽  
Computational Support ◽  
Significant Research

Classification of human actions is an ongoing research problem in computer vision. This review is aimed to scope current literature on data fusion and action recognition techniques and to identify gaps and future research direction. Success in producing cost-effective and portable vision-based sensors has dramatically increased the number and size of datasets. The increase in the number of action recognition datasets intersects with advances in deep learning architectures and computational support, both of which offer significant research opportunities. Naturally, each action-data modality—such as RGB, depth, skeleton, and infrared (IR)—has distinct characteristics; therefore, it is important to exploit the value of each modality for better action recognition. In this paper, we focus solely on data fusion and recognition techniques in the context of vision with an RGB-D perspective. We conclude by discussing research challenges, emerging trends, and possible future research directions.

scholarly journals RGB-D Data-based Action Recognition: A Review

2021 ◽  
Author(s):  
Muhammad Bilal Shaikh ◽  
Douglas Chai
Keyword(s):  
Data Fusion ◽  
Action Recognition ◽  
Cost Effective ◽  
Research Direction ◽  
Research Problem ◽  
Future Research ◽  
Ongoing Research ◽  
Emerging Trends ◽  
Computational Support ◽  
Significant Research

Classification of human actions from uni-modal and multi-modal datasets is an ongoing research problem in computer vision. This review is aimed to scope current literature on data-fusion and action-recognition techniques and to identify gaps and future research direction. Success in producing cost-effective and portable vision-based sensors has dramatically increased the number and size of datasets. The rise in number of action recognition datasets intersects with advances in deep-learning architectures and computational support, both of which offer significant research opportunities. Naturally, each action-data modality - such as RGB, depth, skeleton, and infrared - has distinct characteristics; therefore, it is important to exploit the value of each modality for better action recognition. In this article we will focus solely on areas such as data fusion and recognition techniques in the context of vision with a uni-modal and multi-modal perspective. We conclude by discussing research challenges, emerging trends, and possible future research directions.

Future Research Trends in High-Performance Concrete: Cost-Effective Considerations

1997 ◽  
Vol 1574 (1) ◽  
pp. 49-55 ◽  
Author(s):  
Chao-Lung Hwang ◽  
Long-Sherng Lee
Keyword(s):  
Cycle Length ◽  
High Performance ◽  
High Performance Concrete ◽  
Construction Material ◽  
Cost Effective ◽  
Research Trends ◽  
Future Research ◽  
Ongoing Research ◽  
Ordinary Concrete ◽  
High Rise

High-performance concrete (HPC) prepared on the basis of eugenic considerations (cost-effectiveness and life-cycle length) is proposed to resolve actual concrete problems. HPC is safe, durable, workable, economical, and ecologically sound. Concrete in Taiwan is always designed with large amounts of water and paste (even though it is generally accepted that the concrete will tend to crack and deteriorate). Therefore, HPC with fewer problems is the target of ongoing research. Eugenic HPC is produced from ordinary concrete, superplasticized concrete, pozzolanic concrete, and high-flowing concrete. Without the drawbacks of past forms of concrete, eugenic HPC is a better construction material on the basis of individual material characteristics. The characteristics of eugenic HPC are presented and illustrated by two high-rise buildings in Taiwan constructed with high-flowing HPC.

scholarly journals An Insight of Existing Research Methods towards Securing IoT Communication System

2020 ◽  
Vol 9 (4) ◽  
pp. 1362-1371
Keyword(s):  
Cost Effective ◽  
Research Direction ◽  
Security And Privacy ◽  
Current Status ◽  
Effective Control ◽  
Research Trend ◽  
Smart Device ◽  
Future Research ◽  
Individual Privacy ◽  
Iot Devices

IoT is an advanced analytics system that incorporates physical devices, intelligent technologies, and internet services to provide automation services and cost-effective productivity. The IoT oriented framework offers effective control, stabilized execution, and translucent services when it is applied to any enterprise. However, IoT devices are at risk of many security threats because they communicate and operate smart device services over wide distributed networks (i.e., insecure Internet channels). Over the past few years, it has been witnessed that several types of malicious activities have been tried to undermine the security and privacy of sensor networks as well as Internet-based applications. In order to protect IoT devices, many research works have been carried out to address potential security attack and to find an optimal way to overcome and limit the risk factors that affect security requirement and individual privacy. Therefore, this paper carries an assessment of the existing research works in order to understand better the root cause of the new possible threat and the challenges associated with IoT security. The paper also reflects the research trend to demonstrate the current status of security methods being developed till date. The prime motive of the present work is to reveal the current research gap and make an effective contribution to the future research direction.

scholarly journals Towards a Low-Cost Mobile Subcutaneous Vein Detection Solution Using Near-Infrared Spectroscopy

2014 ◽  
Vol 2014 ◽  
pp. 1-15 ◽  
Author(s):  
Simon Juric ◽  
Vojko Flis ◽  
Matjaz Debevc ◽  
Andreas Holzinger ◽  
Borut Zalik
Keyword(s):  
Infrared Spectroscopy ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Infrared Imaging ◽  
Low Cost ◽  
Grey Literature ◽  
Cost Effective ◽  
Research Direction ◽  
Future Research ◽  
Pubmed Database

Excessive venipunctures are both time- and resource-consuming events, which cause anxiety, pain, and distress in patients, or can lead to severe harmful injuries. We propose a low-cost mobile health solution for subcutaneous vein detection using near-infrared spectroscopy, along with an assessment of the current state of the art in this field. The first objective of this study was to get a deeper overview of the research topic, through the initial team discussions and a detailed literature review (using both academic and grey literature). The second objective, that is, identifying the commercial systems employing near-infrared spectroscopy, was conducted using the PubMed database. The goal of the third objective was to identify and evaluate (using the IEEE Xplore database) the research efforts in the field of low-cost near-infrared imaging in general, as a basis for the conceptual model of the upcoming prototype. Although the reviewed commercial devices have demonstrated usefulness and value for peripheral veins visualization, other evaluated clinical outcomes are less conclusive. Previous studies regarding low-cost near-infrared systems demonstrated the general feasibility of developing cost-effective vein detection systems; however, their limitations are restricting their applicability to clinical practice. Finally, based on the current findings, we outline the future research direction.

scholarly journals Applying Big Data Analytics in Higher Education

2021 ◽  
Vol 17 (3) ◽  
pp. 29-51
Author(s):  
Adel Alkhalil ◽  
Magdy Abd Elrahman Abdallah ◽  
Azizah Alogali ◽  
Abdulaziz Aljaloud
Keyword(s):  
Higher Education ◽  
Big Data ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Research Direction ◽  
Future Research ◽  
Systematic Mapping Study ◽  
Mapping Study ◽  
Ongoing Research ◽  
Motivation Factors

Higher education systems (HES) have become increasingly absorbed in applying big data analytics due to competition as well as economic pressures. Many studies have been conducted that applied big data analytics in HES; however, a systematic review (SR) of the research is scarce. In this paper, the authors conducted a systematic mapping study to address this deficiency. The qualitative and quantitative analysis of the mapping study resulted in highlighting the research progression over the last decade, and identification of three major themes, 12 subthemes, 10 motivation factors, 10 major challenges, three categories of tools and support techniques, and 16 models for applying big data analytics in higher education. This result contributes to the ongoing research on applying big data analytics in HES. It provides a better understanding of the level of contribution to research as well as identifies gaps for future research direction.

Physical and Psychological Benefits of Written Emotional Expression

2015 ◽  
Vol 20 (4) ◽  
pp. 242-251 ◽  
Author(s):  
Éva Kállay
Keyword(s):  
Mental Health ◽  
Expressive Writing ◽  
Mental Health Problems ◽  
Cost Effective ◽  
Health Problems ◽  
Future Research ◽  
Psychological Benefits ◽  
Cost Effective Treatment ◽  
Meta Analyses

Abstract. The last several decades have witnessed a substantial increase in the number of individuals suffering from both diagnosable and subsyndromal mental health problems. Consequently, the development of cost-effective treatment methods, accessible to large populations suffering from different forms of mental health problems, became imperative. A very promising intervention is the method of expressive writing (EW), which may be used in both clinically diagnosable cases and subthreshold symptomatology. This method, in which people express their feelings and thoughts related to stressful situations in writing, has been found to improve participants’ long-term psychological, physiological, behavioral, and social functioning. Based on a thorough analysis and synthesis of the published literature (also including most recent meta-analyses), the present paper presents the expressive writing method, its short- and long-term, intra-and interpersonal effects, different situations and conditions in which it has been proven to be effective, the most important mechanisms implied in the process of recovery, advantages, disadvantages, and possible pitfalls of the method, as well as variants of the original technique and future research directions.

ECONOMIC GROWTH ANALYSIS: A STUDY ON MALAYSIAN MARKET

2019 ◽  
Vol 8 (2) ◽  
Author(s):  
Suhaily Maizan Abdul Manaf ◽  
Shuhada Mohamed Hamidi ◽  
Nur Shafini Mohd Said ◽  
Siti Rapidah Omar Ali ◽  
Nur Dalila Adenan
Keyword(s):  
Economic Growth ◽  
Foreign Direct Investment ◽  
Direct Investment ◽  
Inflation Rate ◽  
Government Expenditure ◽  
Correlation Method ◽  
Research Direction ◽  
Least Square ◽  
Future Research ◽  
Internal And External Factors

Economic performance of a country is mostly determined by the growth and any other internal and external factors. In this study, researchers purposely focused on Malaysian market by examining the relationship between export, inflation rate, government expenditure and foreign direct investment towards economic growth in Malaysia by applying the yearly data of 47 years from 1970 to 2016 using descriptive statistics, regression model and correlation method analysis. By applying Ordinary Least Square (OLS) method, the result suggests that export, government expenditure and foreign direct investment are positively and significantly correlated with the economic growth. However, inflation rate has negative and insignificant relationship with the economic growth. The outcome of the study is suggested to be useful in providing the future research direction towards the economic growth in Malaysia. Keywords: economic growth; export; inflation rate; government expenditure

A Case Study: Analysis of Patents of Coronaviruses and Covid-19 for Technology Assesment and Future Research

2020 ◽  
Vol 26 ◽  
Author(s):  
Pankaj Musyuni ◽  
Geeta Aggarwal ◽  
Manju Nagpal ◽  
Ramesh K. Goyal
Keyword(s):  
Disease Management ◽  
Research And Development ◽  
Technological Development ◽  
Research Work ◽  
Large Family ◽  
Future Research ◽  
Biological Drugs ◽  
Ongoing Research ◽  
Patent Literature ◽  
Patent Documents

Background: Protecting intellectual property rights are important and particularly pertinent for inventions which are an outcome of rigorous research and development. While the grant of patents is subject to establishing novelty and inventive step, it further indicates the technological development and helpful for researchers working in the same technical domain. The aim of the present research work is to map the existing work through analysis of patent literature, in the field of Coronaviruses (CoV), particularly COVID-19 (2019-nCoV). CoV is a large family of viruses known to cause illness in human and animals, particularly known for causing respiratory infections as evidenced in earlier times such as in MERS i.e. Middle East Respiratory Syndrome; SRS i.e. Severe Acute Respiratory Syndrome. A recently identified novel-coronavirus has known as COVID-19 which has currently caused pandemic situation across the globe. Objective: To expand analysis of patents related to CoV and 2019-nCoV. Evaluation has been conducted by patenting trends of particular strains of identified CoV diseases by present legal status, main concerned countries via earliest priority years and its assignee types and inventors of identified relevant patents. We analyzed the global patent documents to check the scope of claims along with focuses and trends of the published patent documents for the entire CoV family including 2019- nCoV through the present landscape. Methods: To extract the results, Derwent Innovation database is used by a combination of different key-strings. Approximately 3800 patents were obtained and further scrutinized and analyzed. The present write-up also discusses the recent progress of patent applications in a period of the year 2010 to 2020 (present) along with the recent developments in India for the treatment options for CoV and 2019-nCoV. Results: Present analysis showed that key areas of the inventions have been focused on vaccines and diagnostic kits apart from the composition for treatment of CoV. We also observed that no specific vaccine treatments is available for treatment of 2019-nCov, however, developing novel chemical or biological drugs and kits for early diagnosis, prevention and disease management is the primarily governing topic among the patented inventions. The present study also indicates potential research opportunities for the future, particularly to combat 2019-nCoV. Conclusion: The present paper analyzes the existing patents in the field of Coronaviruses and 2019-nCoV and suggests a way forward for the effective contribution in this upcoming research area. From the trend analysis, it was observed an increase in filing of the overall trend of patent families for a period of 2010 to the current year. This multifaceted analysis of identified patent literature provides an understanding of the focuses on present ongoing research and grey area in terms of the trends of technological innovations in disease management in patients with CoV and 2019-nCoV. Further, the findings and outcome of the present study offer insights for the proposed research and innovation opportunities and provide actionable information in order to facilitate policymakers, academia, research driven institutes and also investors to make better decisions regarding programmed steps for research and development for the diagnosis, treatment and taking preventive measures for CoV and 2019-nCoV. The present article also emphasizes on the need for future development and the role of academia and collaboration with industry for speedy research with a rationale.

Co-Enzyme Q10 to Treat Neurological Disorders: Basic Mechanisms, Clinical Outcomes, and Future Research Direction

2013 ◽  
Vol 12 (5) ◽  
pp. 641-664 ◽  
Author(s):  
Mohamed Salama ◽  
Ti-Fei Yuan ◽  
Sergio Machado ◽  
Eric Murillo-Rodriguez ◽  
Jose Vega ◽  
...  
Keyword(s):  
Clinical Outcomes ◽  
Neurological Disorders ◽  
Research Direction ◽  
Future Research ◽  
Future Research Direction
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