scholarly journals Brainware Computing: Concepts, Scopes and Challenges

2021 ◽  
Vol 11 (11) ◽  
pp. 5303
Author(s):  
Eui-Nam Huh ◽  
Md Imtiaz Hossain
Keyword(s):  
Service Oriented Architecture ◽  
Edge Computing ◽  
Future Research ◽  
Research Directions ◽  
High Performing ◽  
Domain Specific ◽  
Challenges And Opportunities ◽  
Service Oriented ◽  
Future Research Directions ◽  
Service Application

Over the decades, robotics technology has acquired sufficient advancement through the progression of 5G Internet, Artificial Intelligence (AI), Internet of Things (IoT), Cloud, and Edge Computing. Though nowadays, Cobot and Service Oriented Architecture (SOA) supported robots with edge computing paradigms have achieved remarkable performances in diverse applications, the existing SOA robotics technology fails to develop a multi-domain expert with high performing robots and demands improvement to Service-Oriented Brain, SOB (including AI model, driving service application and metadata) enabling robot for deploying brain and a new computing model with more scalability and flexibility. In this paper, instead of focusing on SOA and Robot as a Service (RaaS) model, we propose a novel computing architecture, addressed as Brainware Computing, for driving multiple domain-specific brains one-at-a-time in a single hardware robot according to the service, addressed as Brain as a Service (BaaS). In Brainware Computing, each robot can install and remove the virtual machine, which contains SOB and operating applications from the nearest edge cloud. Secondly, we provide an extensive explanation of the scope and possibilities of Brainware Computing. Finally, we demonstrate several challenges and opportunities and then concluded with future research directions in the field of Brainware Computing.

scholarly journals Challenges and Opportunities in Robotic Food Handling: A Review

2022 ◽  
Vol 8 ◽  
Author(s):  
Zhongkui Wang ◽  
Shinichi Hirai ◽  
Sadao Kawamura
Keyword(s):  
Low Cost ◽  
Food Products ◽  
Future Research ◽  
Food Handling ◽  
Research Directions ◽  
Fundamental Information ◽  
Food Recognition ◽  
Challenges And Opportunities ◽  
Future Research Directions ◽  
End Effectors

Despite developments in robotics and automation technologies, several challenges need to be addressed to fulfill the high demand for automating various manufacturing processes in the food industry. In our opinion, these challenges can be classified as: the development of robotic end-effectors to cope with large variations of food products with high practicality and low cost, recognition of food products and materials in 3D scenario, better understanding of fundamental information of food products including food categorization and physical properties from the viewpoint of robotic handling. In this review, we first introduce the challenges in robotic food handling and then highlight the advances in robotic end-effectors, food recognition, and fundamental information of food products related to robotic food handling. Finally, future research directions and opportunities are discussed based on an analysis of the challenges and state-of-the-art developments.

scholarly journals Machine learning for energy-water nexus: challenges and opportunities

2018 ◽  
Vol 2 (3) ◽  
pp. 228-267 ◽  
Author(s):  
Zaidi ◽  
Chandola ◽  
Allen ◽  
Sanyal ◽  
Stewart ◽  
...  
Keyword(s):  
Machine Learning ◽  
Energy Systems ◽  
Machine Learning Techniques ◽  
Future Research ◽  
Technological Advancement ◽  
Research Directions ◽  
Learning Techniques ◽  
Challenges And Opportunities ◽  
Future Research Directions ◽  
System Sustainability

Modeling the interactions of water and energy systems is important to the enforcement of infrastructure security and system sustainability. To this end, recent technological advancement has allowed the production of large volumes of data associated with functioning of these sectors. We are beginning to see that statistical and machine learning techniques can help elucidate characteristic patterns across these systems from water availability, transport, and use to energy generation, fuel supply, and customer demand, and in the interdependencies among these systems that can leave these systems vulnerable to cascading impacts from single disruptions. In this paper, we discuss ways in which data and machine learning can be applied to the challenges facing the energy-water nexus along with the potential issues associated with the machine learning techniques themselves. We then survey machine learning techniques that have found application to date in energy-water nexus problems. We conclude by outlining future research directions and opportunities for collaboration among the energy-water nexus and machine learning communities that can lead to mutual synergistic advantage.

Entitativity Perceptions of Individuals and Groups across Cultures

2018 ◽  
Author(s):  
Saori Tsukamoto ◽  
Yoshihisa Kashima ◽  
Nick Haslam ◽  
Elise Holland ◽  
Minoru Karasawa
Keyword(s):  
Cross Cultural ◽  
Future Research ◽  
Social Perceptions ◽  
East Asians ◽  
Apparent Contradiction ◽  
Research Directions ◽  
Domain Specific ◽  
Cross Cultural Differences ◽  
Pros And Cons ◽  
Future Research Directions

Cross-cultural differences in social perceptions pose an intriguing puzzle. East Asians, in contrast to Westerners, tend to have the view that individuals lack coherent and thematically consistent characteristics and, therefore, are likely to exhibit cross-situationally inconsistent actions and reactions. This tendency is explained in terms of naïve dialecticism. However, from a different domain of perception, East Asians perceive groups as possessing more coherent and thematically consistent characteristics than ascribed by Westerners. Does this apparent contradiction mean that, unlike individual selves, groups are not dialectically construed by East Asians? One way to reconcile these findings is to say that naïve dialecticism is domain-specific—East Asian dialecticism applies to individuals, but not to groups. Another is to consider individualism–collectivism and argue that East Asians perceive groups as more entitative because they are collectivistic, and Westerners perceive individuals as more entitative because they are individualistic. Pros and cons for these explanations are examined in this chapter and future research directions are suggested.

A Survey of Multimedia Recommender Systems: Challenges and Opportunities

2017 ◽  
Vol 11 (03) ◽  
pp. 411-428 ◽  
Author(s):  
Mouzhi Ge ◽  
Fabio Persia
Keyword(s):  
Multimedia Information ◽  
Recommender Systems ◽  
Recommender System ◽  
Future Research ◽  
Research Directions ◽  
Research Challenges ◽  
Challenges And Opportunities ◽  
Future Research Directions ◽  
Research Challenge

Multimedia information has been extensively growing from a variety of sources such as cameras or video recorders. In order to select the useful multimedia objects, multimedia recommender system has been emerging as a tool to help users choose which multimedia objects might be interesting for them. However, given the complexity of multimedia objects, it is challenging to provide effective multimedia recommendations. In this paper, we therefore conduct a survey in both the multimedia information system and recommender system communities. We further focus on the works that span the two communities, especially the research on multimedia recommender systems. Based on our review, we propose a set of research challenges, which can be used to implicate the future research directions for multimedia recommender systems. For each research challenge, we have also provided the insights of how to perform the follow-up research.

scholarly journals Recent Advances and Future Research Directions in Edge Cloud Framework

2019 ◽  
Vol 9 (2) ◽  
pp. 439-444 ◽  
Keyword(s):  
Cloud Computing ◽  
Service Time ◽  
Response Times ◽  
Edge Computing ◽  
Future Research ◽  
Simulation Environment ◽  
Research Directions ◽  
Great Idea ◽  
Cloud Framework ◽  
Future Research Directions

Recent years have shown the explosive emergence of Cloud computing in the industry and it is now the need of the hour. It is a great idea to go to utilize 5G remote advancement and man-made thinking to engage speedier response times, lower latency, improved upkeep in figuring. The cloud has at no other time been so essential to the undertaking beforehand. This is where Edge Computing came into picture — seen as an expansion to the cloud, yet interesting in a couple of crucial ways. Empowering data to be taken care of, explored and moved at the edge of the framework, edge enlisting will enable undertakings to gather and assessments data closer to where it is taken care of, consistently, without idleness. Thus it can take into consideration snappy substance conveyance and information preparing that ought to be the eventual fate of registering. In this paper we will extensively study the necessity of Edge Cloud simulation environment and simulate it through EdgeCloudSim. We find that the utilization based, fuzzy competitor based and hybrid based methodologies incline toward offloading the assignments to the edge, so they give better outcomes whereas the average service time of the Fuzzy-Based methodology is least in contrast with the others

scholarly journals A Systematic Survey on the Role of Cloud, Fog, and Edge Computing Combination in Smart Agriculture

Sensors ◽  
2021 ◽  
Vol 21 (17) ◽  
pp. 5922
Author(s):  
Yogeswaranathan Kalyani ◽  
Rem Collier
Keyword(s):  
Cloud Computing ◽  
Edge Computing ◽  
Future Research ◽  
Relevant Research ◽  
Research Directions ◽  
Architecture Model ◽  
High Bandwidth ◽  
Future Research Directions ◽  
Smart Agriculture

Cloud Computing is a well-established paradigm for building service-centric systems. However, ultra-low latency, high bandwidth, security, and real-time analytics are limitations in Cloud Computing when analysing and providing results for a large amount of data. Fog and Edge Computing offer solutions to the limitations of Cloud Computing. The number of agricultural domain applications that use the combination of Cloud, Fog, and Edge is increasing in the last few decades. This article aims to provide a systematic literature review of current works that have been done in Cloud, Fog, and Edge Computing applications in the smart agriculture domain between 2015 and up-to-date. The key objective of this review is to identify all relevant research on new computing paradigms with smart agriculture and propose a new architecture model with the combinations of Cloud–Fog–Edge. Furthermore, it also analyses and examines the agricultural application domains, research approaches, and the application of used combinations. Moreover, this survey discusses the components used in the architecture models and briefly explores the communication protocols used to interact from one layer to another. Finally, the challenges of smart agriculture and future research directions are briefly pointed out in this article.

scholarly journals Pre-service Teachers with Disabilities: Challenges and Opportunities for Directors of Student Teaching in Western Canada

2017 ◽  
Vol 8 (3) ◽  
Author(s):  
Laura Sokal ◽  
Debra Woloshyn ◽  
Alina Wilson
Keyword(s):  
Teacher Education ◽  
Student Teaching ◽  
Future Research ◽  
Western Canada ◽  
Research Directions ◽  
Canadian Universities ◽  
Challenges And Opportunities ◽  
Future Research Directions ◽  
Practicum Experiences ◽  
Canadian Research

In response to the lack of Canadian research about the practicum experiences of pre-service teachers with disabilities, a survey of ten Directors of Student Teaching in Western Canadian universities was conducted and revealed both strengths and challenges in current practices. Recommendations for teacher education are explored, and several future research directions are highlighted. En réponse à l’absence de recherche sur les expériences de stage des enseignants en formation souffrant d’invalidité, un sondage a été effectué auprès de dix directeurs de stagiaires dans des universités de l’Ouest du Canada. Le sondage a révélé à la fois les points forts et les défis présentés par les pratiques actuelles. Des recommandations pour la formation des enseignants sont explorées et plusieurs futurs axes de recherche sont présentés.

scholarly journals People-Centric Operations: Achievements and Future Research Directions

2021 ◽  
Author(s):  
Guillaume Roels ◽  
Bradley R. Staats
Keyword(s):  
Operational Performance ◽  
Future Research ◽  
Research Directions ◽  
The Future ◽  
Service Oriented ◽  
Future Research Directions ◽  
Knowledge Intensive ◽  
Categorization Scheme ◽  
Operational Processes ◽  
Study Offer

As the nature of work has become more service oriented, knowledge intensive, and rapidly changing, people—be they workers or customers—have become more central to operational processes and have impacted operational outcomes in novel and perhaps more fundamental ways. Research in people-centric operations (PCO) studies how people affect the performance of operational processes. In this OM Forum, we define PCO as an area of study, offer a categorization scheme to take stock of where the field has allocated its attention to date, and offer our thoughts on promising directions for future research. The future of PCO is bright: Thanks to today’s availability of granular data, PCO researchers have numerous and growing opportunities to study, from both descriptive and prescriptive angles, the link between people’s behavior and operational performance.

scholarly journals Drones as internet of video things front-end sensors: challenges and opportunities

2021 ◽  
Vol 1 (1) ◽  
Author(s):  
Chang Wen Chen
Keyword(s):  
Sensor Data ◽  
Future Research ◽  
Operational Mode ◽  
Research Directions ◽  
Visual Sensors ◽  
Front End ◽  
Challenges And Opportunities ◽  
Acquisition Information ◽  
Future Research Directions ◽  
Technical Challenges

AbstractInternet of Video Things (IoVT) has become an emerging class of IoT systems that are equipped with visual sensors at the front end. Most of such visual sensors are fixed one whereas the drones are considered flying IoT nodes capable of capturing visual data continuously while flying over the targets of interest. With such a dynamic operational mode, we can imagine significant technical challenges in sensor data acquisition, information transmission, and knowledge extraction. This paper will begin with an analysis on some unique characteristics of IoVT systems with drones as its front end sensors. We shall then discuss several inherent technical challenges for designing drone-based IoVT systems. Furthermore, we will present major opportunities to adopt drone-based IoVT in several contemporary applications. Finally, we conclude this paper with a summary and an outlook for future research directions.

Reexamining Social Media and Socioemotional Well-Being Among Adolescents Through the Lens of the COVID-19 Pandemic: A Theoretical Review and Directions for Future Research

2021 ◽  
pp. 174569162110141
Author(s):  
Jessica L. Hamilton ◽  
Jacqueline Nesi ◽  
Sophia Choukas-Bradley
Keyword(s):  
Social Media ◽  
Media Use ◽  
Well Being ◽  
Future Research ◽  
Social Media Use ◽  
Research Directions ◽  
Psychological Science ◽  
Challenges And Opportunities ◽  
Future Research Directions ◽  
Key Aspects

Social media has rapidly transformed the ways in which adolescents socialize and interact with the world, which has contributed to ongoing public debate about whether social media is helping or harming adolescents. The COVID-19 pandemic has magnified both the challenges and opportunities of adolescents’ social-media use, which necessitates revisiting the conversation around teens and social media. In this article, we discuss key aspects of adolescent social-media use and socioemotional well-being and outline how these issues may be amplified in the context of the COVID-19 pandemic. We use this as a springboard to outline key future research directions for the field, with the goal of moving away from reductionist approaches and toward a more nuanced perspective to understand the who, what, and when of social-media use and its impact on adolescent well-being. We conclude with a commentary on how psychological science can inform the translation of research to provide evidence-based recommendations for adolescent social-media use.

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