scholarly journals Construction of emotional intelligent service system for the aged based on Internet of things

2019 ◽  
Vol 11 (3) ◽  
pp. 168781401983379
Author(s):  
Xiaoqi Liang ◽  
Yonghui Dai ◽  
Hanjian Chen ◽  
Shengqi Lu
Keyword(s):  
Emotional Intelligence ◽  
Internet Of Things ◽  
Affective Computing ◽  
Emotional State ◽  
Service System ◽  
Traditional Service ◽  
Software And Hardware ◽  
Service Mode ◽  
Intelligence Service ◽  
Global Aging

With the acceleration of global aging, the service of the aged has been widely concerned by the whole society. The traditional service mode has been challenged, and it is difficult to meet the needs of the aged. In order to provide better services for the aged, the construction of emotional intelligent service based on Internet of things is proposed in this article. First, the framework is introduced, and the architecture of the whole system is given. Second, the key technologies of emotional intelligence and Internet of things are described, which mainly include affective computing and data collection of Internet of things. Third, the implementation of the software and hardware is given, and the core functional modules are analyzed. As a whole, there are two main contributions of this article. One is to give the framework of emotional intelligence service system for the aged based on Internet of things, and the other is to analyze the emotional state and the physical data of the aged so that the early-warning and intelligent services can be provided for them.

scholarly journals Developing an On-Demand Cloud-Based Sensing-as-a-Service System for Internet of Things

2016 ◽  
Vol 2016 ◽  
pp. 1-17 ◽  
Author(s):  
Mihui Kim ◽  
Mihir Asthana ◽  
Siddhartha Bhargava ◽  
Kartik Krishnan Iyyer ◽  
Rohan Tangadpalliwar ◽  
...  
Keyword(s):  
Sensor Networks ◽  
Internet Of Things ◽  
Service System ◽  
Value Added ◽  
Computing System ◽  
Sensor Data ◽  
Dynamic Provisioning ◽  
On Demand ◽  
Cloud Computing System ◽  
Iot Devices

The increasing number of Internet of Things (IoT) devices with various sensors has resulted in a focus on Cloud-based sensing-as-a-service (CSaaS) as a new value-added service, for example, providing temperature-sensing data via a cloud computing system. However, the industry encounters various challenges in the dynamic provisioning of on-demand CSaaS on diverse sensor networks. We require a system that will provide users with standardized access to various sensor networks and a level of abstraction that hides the underlying complexity. In this study, we aim to develop a cloud-based solution to address the challenges mentioned earlier. Our solution, SenseCloud, includes asensor virtualizationmechanism that interfaces with diverse sensor networks, amultitenancymechanism that grants multiple users access to virtualized sensor networks while sharing the same underlying infrastructure, and adynamic provisioningmechanism to allow the users to leverage the vast pool of resources on demand and on a pay-per-use basis. We implement a prototype of SenseCloud by using real sensors and verify the feasibility of our system and its performance. SenseCloud bridges the gap between sensor providers and sensor data consumers who wish to utilize sensor data.

scholarly journals Conceptual Framework for Quantum Affective Computing and Its Use in Fusion of Multi-Robot Emotions

2020 ◽  
Author(s):  
Fei Yan ◽  
Abdullah Iliyasu ◽  
Kaoru Hirota
Keyword(s):  
Emotional Intelligence ◽  
Quantum Mechanics ◽  
Conceptual Framework ◽  
Quantum Measurement ◽  
Affective Computing ◽  
Quantum Gates ◽  
Superposition State ◽  
Unitary Operators ◽  
Computing Paradigm ◽  
Simulation Based

This study presents a modest attempt to interpret, formulate, and manipulate emotion of robots within the precepts of quantum mechanics. Our proposed framework encodes the emotion information as a superposition state whilst unitary operators are used to manipulate the transition of the emotion states which are recovered via appropriate quantum measurement operations. The framework described provides essential steps towards exploiting the potency of quantum mechanics in a quantum affective computing paradigm. Further, the emotions of multi-robots in a specified communication scenario are fused using quantum entanglement thereby reducing the number of qubits required to capture the emotion states of all the robots in the environment, and fewer quantum gates are needed to transform the emotion of all or part of the robots from one state to another. In addition to the mathematical rigours expected of the proposed framework, we present a few simulation-based demonstrations to illustrate its feasibility and effectiveness. This exposition is an important step in the transition of formulations of emotional intelligence to the quantum era.

scholarly journals The role of emotional service in the restaurant business

2022 ◽  
pp. 164-167
Author(s):  
N. A. Ofitserova
Keyword(s):  
Emotional Intelligence ◽  
Customer Satisfaction ◽  
Emotional Labor ◽  
Work Performance ◽  
Positive Emotions ◽  
Emotional State ◽  
Communicative Competence ◽  
Point Of View ◽  
Emotional States

The article considers the restaurant business from the point of view of not only the entrepreneurial aspect, but also the service aspect, which is fundamental. The reasons why people visit restaurants have been revealed. In addition to physical need, restaurants are an element of cognition and a way of experiencing positive emotions. The importance of the restaurant business in shaping people’s positive emotional state has been formulated. Two forms of emotional labor of an employee and the influence of emotional states on work performance have been highlighted. The role of emotional intelligence and communicative competence in customer satisfaction with a restaurant visit has been determined. The importance of developing emotional intelligence has been concluded. Recommendations for its development has been formulated. 

scholarly journals Energy-effective artificial internet-of-things application deployment in edge-cloud systems

2021 ◽  
Author(s):  
Zhengzhe Xiang ◽  
Yuhang Zheng ◽  
Mengzhu He ◽  
Longxiang Shi ◽  
Dongjing Wang ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Internet Of Things ◽  
Optimization Problem ◽  
Service System ◽  
Directed Acyclic Graphs ◽  
Long Distance ◽  
Data Set ◽  
Application Performance ◽  
Application Deployment ◽  
Multi Access

AbstractRecently, the Internet-of-Things technique is believed to play an important role as the foundation of the coming Artificial Intelligence age for its capability to sense and collect real-time context information of the world, and the concept Artificial Intelligence of Things (AIoT) is developed to summarize this vision. However, in typical centralized architecture, the increasing of device links and massive data will bring huge congestion to the network, so that the latency brought by unstable and time-consuming long-distance network transmission limits its development. The multi-access edge computing (MEC) technique is now regarded as the key tool to solve this problem. By establishing a MEC-based AIoT service system at the edge of the network, the latency can be reduced with the help of corresponding AIoT services deployed on nearby edge servers. However, as the edge servers are resource-constrained and energy-intensive, we should be more careful in deploying the related AIoT services, especially when they can be composed to make complex applications. In this paper, we modeled complex AIoT applications using directed acyclic graphs (DAGs), and investigated the relationship between the AIoT application performance and the energy cost in the MEC-based service system by translating it into a multi-objective optimization problem, namely the CA$$^3$$ 3 D problem — the optimization problem was efficiently solved with the help of heuristic algorithm. Besides, with the actual simple or complex workflow data set like the Alibaba Cloud and the Montage project, we conducted comprehensive experiments to evaluate the results of our approach. The results showed that the proposed approach can effectively obtain balanced solutions, and the factors that may impact the results were also adequately explored.

DIAGNOSTICS OF THE LEVEL OF EMOTIONAL INTELLIGENCE DEVELOPMENT OF PRESCHOOL CHILDREN

2021 ◽  
Vol 68 (3) ◽  
Author(s):  
M.B. Berlibayeva ◽  
Keyword(s):  
Emotional Intelligence ◽  
Preschool Children ◽  
Communication Skills ◽  
Emotional State ◽  
Negative Impact ◽  
Preschool Age ◽  
Medium Level ◽  
Recognition Of Emotions ◽  
High Level ◽  
Intelligence Development

The purpose of this study is to identify the level of development of emotional intelligence of preschool children. The article notes that in modern conditions, the problem of the development of the emotional intelligence of pre-schoolers is relevant, this is due to the fact that the process of globalization, changes in all spheres of life had a negative impact on the pre-schooler, subjected him to emotional tests that inhibit the development of emotional intelligence of preschool children. The author of the article proves the importance of the development of emotional intelligence in preschool children. In his opinion, the preschool age has great opportunities for the development of the emotional intelligence of preschool children. The main goal of the study was to identify the level of development of emotional intelligence in preschool children. The study involved 40 pre-schoolers of diverse ages: 3-4 years old, 4-5 years old, and 5-6 years old. The indicators for the development of the emotional intelligence of pre-schoolers are: knowledge of various types of emotions, recognition of emotions, description of various emotions, identification of the causes of the appearance of emotions, awareness of their own and others' emotions, the ability to manage their own emotional state and the emotions of other people. The above indicators helped to identify the following levels of development of the emotional intelligence of preschool children: high, medium and low. The results of the study of the level of development of emotional intelligence indicate that: - pre-schoolers have a very poorly formed emotional intelligence, there are no emotional and motivational attitudes towards themselves, people around them, peers, - there are a lot of preschool children with a low and medium level of development of emotional intelligence, there are practically no children with a high level of development of emotional intelligence, - children have deficiently developed communication skills in different life situations with peers, adults, - the level of development of emotional intelligence in pre-schoolers is higher at the age of 6-7 years, very low at the age of three, i.e. the age of children, as well as temperament, influences, sanguine people have a high level of development of emotional intelligence, girls, compared to boys, have a high level of development of emotional intelligence.

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