CHEERBOT

2019 ◽  
pp. 306-322
Author(s):  
Chintan Bimal Maniyar ◽  
Chintan M. Bhatt ◽  
Tejas Nimeshkumar Pandit ◽  
Dewanshi Harishankar Yadav
Keyword(s):  
Emotional Support ◽  
Emotional State ◽  
Home Automation ◽  
Wide Scope ◽  
Automation Systems ◽  
Long Time

The objective of this chapter is to discuss the authors' interaction and involvement with technology and bots, opening a whole new and wide scope of possibilities while letting bots comfort us. The prevalence of bots and automation is increasing by every passing day – Cortana, Siri have been here for a long time and have now been overtaken by Alexa and other home automation systems that provide a two-way dialogue conversations. This chapter explores the possibilities of creating bots that can cheer us up when we are sad. Analyzing the semantics of our sentences and analyzing the pitch of our voice to identify our emotional state, and then providing an n-way dialogue conversation, relevant to the then existing context, instead of the mundane two-way dialogue conversation is the lucid content of this chapter. Summing it up, this chapter examines the possibility of creating bots that can serve as an emotional support to us humans.

scholarly journals A Secure and Scalable Smart Home Gateway to Bridge Technology Fragmentation

Sensors ◽  
2021 ◽  
Vol 21 (11) ◽  
pp. 3587
Author(s):  
Ezequiel Simeoni ◽  
Eugenio Gaeta ◽  
Rebeca I. García-Betances ◽  
Dave Raggett ◽  
Alejandro M. Medrano-Gil ◽  
...  
Keyword(s):  
Smart Home ◽  
Home Automation ◽  
Dynamic Configuration ◽  
Home Gateway ◽  
Security Authentication ◽  
Living Lab ◽  
Automation Systems ◽  
Authentication And Authorization ◽  
Iot Devices ◽  
Bridge Technology

Internet of Things (IoT) technologies are already playing an important role in our daily activities as we use them and rely on them to increase our abilities, connectivity, productivity and quality of life. However, there are still obstacles to achieving a unique interface able to transfer full control to users given the diversity of protocols, properties and specifications in the varied IoT ecosystem. Particularly for the case of home automation systems, there is a high degree of fragmentation that limits interoperability, increasing the complexity and costs of developments and holding back their real potential of positively impacting users. In this article, we propose implementing W3C’s Web of Things Standard supported by home automation ontologies, such as SAREF and UniversAAL, to deploy the Living Lab Gateway that allows users to consume all IoT devices from a smart home, including those physically wired and using KNX® technology. This work, developed under the framework of the EC funded Plan4Act project, includes relevant features such as security, authentication and authorization provision, dynamic configuration and injection of devices, and devices abstraction and mapping into ontologies. Its deployment is explained in two scenarios to show the achieved technology’s degree of integration, the code simplicity for developers and the system’s scalability: one consisted of external hardware interfacing with the smart home, and the other of the injection of a new sensing device. A test was executed providing metrics that indicate that the Living Lab Gateway is competitive in terms of response performance.

Modelling Traffic Analysis in Home Automation Systems

2018 ◽  
pp. 526-536
Author(s):  
Frederik Möllers ◽  
Stephanie Vogelgesang ◽  
Jochen Krüger ◽  
Isao Echizen ◽  
Christoph Sorge
Keyword(s):  
Traffic Analysis ◽  
Home Automation ◽  
Automation Systems

scholarly journals KEGUNAAN SISTEM PENGOTOMATAN (OTOMASI) LABORATORIUM/ LAS (LABORATORY AUTOMATION SYSTEMS)

2018 ◽  
Vol 15 (1) ◽  
pp. 38
Author(s):  
Prihatini .
Keyword(s):  
Automation System ◽  
Laboratory Automation ◽  
Automation Systems ◽  
The Future ◽  
Long Time ◽  
Diagnosis Of Diseases

In most laboratory LAS (Laboratory Automation System) system recently have been used. though, not all of them used theautomation system and LIS.the LAS is used for the diagnosis of diseases, because it can decrease the error factors as weel as thelaboratoric examination. Regarding to decreasing problems, the expenses of patients who staying in the hospitals could be reduced aswell as their time to stay. the purpose of this article is to know comprehensively LAS and its services in the future in the hospitals' clinicallaboratory. Because before LAS was used the diagnosis time of diseases take a long time as compared to LAS.

scholarly journals Real Time Face Recognition based Smart Lab for Energy Conservation

Webology ◽  
2021 ◽  
Vol 18 (SI02) ◽  
pp. 32-41
Author(s):  
M. Karthikeyan ◽  
T.S. Subashini ◽  
M.S. Prashanth
Keyword(s):  
Face Recognition ◽  
Object Identification ◽  
Home Automation ◽  
Human Beings ◽  
Environmentally Conscious ◽  
Repetitive Tasks ◽  
Automation Systems ◽  
The Face ◽  
Identification Technique ◽  
Haar Cascade

Home automation offers a good solution to help conserve our natural resources in a time when we are all becoming more environmentally conscious. Home automation systems can reduce power consumption and when they are not in use automatically turn off lights and appliances. With home automation, many repetitive tasks can be performed automatically or with fewer steps. For example, each time the person gets out of his computer desk, for instance, the fan and the lights need to be turned off and switched on when he comes back to the computer desk. This is a repetitive task, and failure to do so leads to a waste of energy. This paper proposes a security/energy saving system based on face recognition to monitor the fan and lights depending on the presence or absence of the authenticated user. Initially, the authenticated faces/users LBPH (Local Binary Pattern Histogram) features were extracted and modelled using SVM to construct the face profile of all authenticated users. The webcam catches the user's picture before the PC and the Haar-cascade classifier, a profound learning object identification technique is used to identify face objects from the background. The facial recognition techniques were implemented with python and linked to the cloud environment of Ada-Fruit in order to enable or disable the light and fan on the desk. The relay status is transmitted from Ada Fruit Cloud to Arduino Esp8266 using the MQTT Protocol. If the unidentified user in the webcam is detected by this device, the information in the cloud will be set to ' off ' status, allowing light and fan to be switched off. Although Passive Infrared Sensor (PIR) is widely used in home automation systems, PIR sensors detect heat traces in a room, so they are not very sensitive when the room itself is hot. Therefore, in some countries such as INDIA, PIR sensors are unable to detect human beings in the summer. This system is an alternative to commonly used PIR sensors in the home automation process.

METHOD OF REMOTE MONITORING OF PARAMETERS OF ELECTRICAL SWITCHBOARD EQUIPMENT OF HOME AUTOMATION SYSTEM

2020 ◽  
pp. 28-37
Author(s):  
Parkhomenko Anzhelika ◽  
◽  
Tulenkov Artem ◽  
Zalyubovskiy Yaroslav
Keyword(s):  
Remote Monitoring ◽  
Modular Design ◽  
Practical Significance ◽  
Critical Parameters ◽  
Automation System ◽  
Home Automation ◽  
Automation Systems ◽  
Temperature Mode ◽  
Functional Features ◽  
Home Automation System

The paper presents the results of the analysis of electrical switchboards computer-aided design process features. The problems of modeling and ensuring the normal temperature mode of switchboard equipment functioning for safe operation of home automation systems are investigated. The work shows that the shortcomings of existing methods and systems of monitoring make it impossible to use them for remote monitoring of the parameters of switchboard equipment due to a whole set of structural and functional features of developed objects. The main requirements for remote monitoring subsystem are compact modular design of hardware that will save space while providing the necessary functionality, low cost, and low power consumption of the components; reliable transmission of monitoring data over long distances, and data storage for further mining. The results of the development and implementation of the method of remote monitoring of electrical switchboard equipment critical parameters are presented. The possibilities of Orange opensource software using for data visualization and intellectual analysis are shown. The identified associative rules can be used for further improvement of control scenarios of the home automation system and ensure the reliable operation of switchboard equipment. The scientific significance of the work lies in the fact that the method of remote monitoring of operational parameters of electrical switchboard has been further developed based on the developed methodology for determining conditions and types of user notifications as well as the integrated usage of wireless data transmission technologies, cloud storage technologies and data mining tools. The practical significance of the obtained results is that the introduction of the remote monitoring subsystem will increase the reliability and security of the home automation system and its attractiveness to users. Further work will focus on the intellectual analysis of the data obtained based on Bayesian networks to develop and study patterns of human activity during home automation system operation to formulate recommendations for the user and specialists to improve the control scenarios of the home automation system. Key words: home automation system, switchboard equipment, remote monitoring, temperature mode, wireless technologies, cloud service, associative rules.

Continuous measurement of pollution due to urban effluents under wet conditions using optical systems

1995 ◽  
Vol 32 (1) ◽  
pp. 241-247
Author(s):  
Gwenael Ruban
Keyword(s):  
Optical Sensors ◽  
Optical Systems ◽  
Sample Collection ◽  
Rainfall Events ◽  
Automation Systems ◽  
Calibration Sample ◽  
Long Time ◽  
Pollution Measurement ◽  
Measurement Validation ◽  
Better Than

Optical sensors appear well adapted to the pollution measurement of urban discharges during wet weather: they allow a continuous and long time investigation of sudden and highly variable phenomena such as rainfall events. They may also be connected to remote monitoring and sanitary equipment automation systems. This paper deals with the measurement principles and use of this type of equipment: adjustment and calibration, sample collection, equipment maintenance and measurement validation. Taking into account the hydraulicity (flow rate or velocity) allows one to improve appreciably the calibration for runoff waters. Calibration at the laboratory seems better than calibration using registered data on the field, as it makes it possible to eliminate the Suspended Matter under-estimation resulting from sampling/analysis.

scholarly journals Impact of Physiological Signals Acquisition in the Emotional Support Provided in Learning Scenarios

Sensors ◽  
2019 ◽  
Vol 19 (20) ◽  
pp. 4520 ◽  
Author(s):  
Uria-Rivas ◽  
Rodriguez-Sanchez ◽  
Santos ◽  
Vaquero ◽  
Boticario
Keyword(s):  
Emotional Support ◽  
Ambient Intelligence ◽  
Affective Computing ◽  
Emotional State ◽  
Signal To Noise Ratio ◽  
Physiological Signals ◽  
Emotional States ◽  
Skin Response ◽  
Physiological Sensors ◽  
Rule Based Approach

Physiological sensors can be used to detect changes in the emotional state of users with affective computing. This has lately been applied in the educational domain, aimed to better support learners during the learning process. For this purpose, we have developed the AICARP (Ambient Intelligence Context-aware Affective Recommender Platform) infrastructure, which detects changes in the emotional state of the user and provides personalized multisensorial support to help manage the emotional state by taking advantage of ambient intelligence features. We have developed a third version of this infrastructure, AICARP.V3, which addresses several problems detected in the data acquisition stage of the second version, (i.e., intrusion of the pulse sensor, poor resolution and low signal to noise ratio in the galvanic skin response sensor and slow response time of the temperature sensor) and extends the capabilities to integrate new actuators. This improved incorporates a new acquisition platform (shield) called PhyAS (Physiological Acquisition Shield), which reduces the number of control units to only one, and supports both gathering physiological signals with better precision and delivering multisensory feedback with more flexibility, by means of new actuators that can be added/discarded on top of just that single shield. The improvements in the quality of the acquired signals allow better recognition of the emotional states. Thereof, AICARP.V3 gives a more accurate personalized emotional support to the user, based on a rule-based approach that triggers multisensorial feedback, if necessary. This represents progress in solving an open problem: develop systems that perform as effectively as a human expert in a complex task such as the recognition of emotional states.

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