Mohsen Amiribesheli

While solutions for cloud bursting already exist and are commercially available, they often rely on a limited set of metrics that are monitored and acted upon when user-defined thresholds are exceeded. In this paper, we present an ETSI MANO compliant approach that performs proactive bursting of applications based on infrastructure and application metrics. The proposed solution implements Machine Learning (ML) techniques to realise a proactive offloading of tasks in anticipation of peak… Show more

While solutions for cloud bursting already exist and are commercially available, they often rely on a limited set of metrics that are monitored and acted upon when user-defined thresholds are exceeded. In this paper, we present an ETSI MANO compliant approach that performs proactive bursting of applications based on infrastructure and application metrics. The proposed solution implements Machine Learning (ML) techniques to realise a proactive offloading of tasks in anticipation of peak utilisation that is based on pattern recognition from historical data. Experimental results comparing several forecasting algorithms show that the proposed approach can improve upon reactive cloud bursting solutions by responding quicker to system load changes. This approach is applicable to both traditional datacentres and applications as well as 5G telco infrastructures that run Virtual Network Functions (VNF) at the edge. Show less

Dementia refers to a group of chronic conditions that cause the permanent and gradual cognitive decline. Therefore, a Person with Dementia (PwD) requires constant care from various classes of caregivers. The care costs of PwDs bear a tremendous burden on healthcare systems around the world. It is commonly accepted that utilising smart homes (SH), as an instance of ambient assisted living (AAL) technologies, can facilitate the care, and consequently improve the quality of PwDs well-being… Show more

Dementia refers to a group of chronic conditions that cause the permanent and gradual cognitive decline. Therefore, a Person with Dementia (PwD) requires constant care from various classes of caregivers. The care costs of PwDs bear a tremendous burden on healthcare systems around the world. It is commonly accepted that utilising smart homes (SH), as an instance of ambient assisted living (AAL) technologies, can facilitate the care, and consequently improve the quality of PwDs well-being. Nevertheless, most of the existing platforms assume dementia care is a straight application of standard SH technology without accommodating the specific requirements of dementia care. A consequence of this approach is the inadequacy and unacceptability of generic SH systems in the context of dementia care. Contrary to most of the existing SH systems proposed for dementia care, this study considers the specific requirements of PwDs and their care circle in all development steps of an SH. In addition, it investigates how utilising novel design and computing approaches can enhance the quality of SHs for dementia care. To do so, the requirements of dementia care stakeholders are collected, analysed and reflected on in an SH system design. Extensions and adaptation of existing frameworks and technologies are proposed to implement a prototype based on the resulting design. Finally, thorough evaluations and validation of the prototype are carried out. The evaluations by a group of stakeholders show the suitability of the proposed methodology and consequently the resulting prototypes for reducing dementia care difficulties as well as its potential for deployment in the real-world environment. Show less

Care costs of People with Dementia (PwDs) bear a tremendous burden on healthcare systems around the world. Smart Homes (SHs), as an instance of the ambient assisted living technology, can help reduce these expenses. However, only few of the existing studies in the literature discuss how SHs should be designed by considering the unique requirements of PwDs. Most of the studies view dementia care as a straight application of standard SH technology without accommodating the specific needs of PwDs.… Show more

Care costs of People with Dementia (PwDs) bear a tremendous burden on healthcare systems around the world. Smart Homes (SHs), as an instance of the ambient assisted living technology, can help reduce these expenses. However, only few of the existing studies in the literature discuss how SHs should be designed by considering the unique requirements of PwDs. Most of the studies view dementia care as a straight application of standard SH technology without accommodating the specific needs of PwDs. A consequence of this approach is the inadequacy and unacceptability of generic SH systems to PwDs as well as other stakeholders in the sector of dementia care. The present research reports on the requirements elicitation, design and evaluation of a dedicated SH prototype for PwDs. In contrast to most of the existing SH systems proposed for PwDs, this work presents a tailored prototype that is based on a user-centred design methodology. The preliminary evaluation by a sample of stakeholders shows the suitability of the proposed methodology and consequently the resulting prototype for reducing care difficulties as well as its potential of deployment in the real-world environment.
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In this paper, we present a user-centred approach
for designing and developing smart homes for people with
dementia. In contrast to most of the existing literature related to
dementia, the present approach aims at tailoring the system to the
specific needs of dementia using a scenario-based methodology.
Scenarios are based on typical dementia symptoms which are
collected from research literatures and validated by dementia
caregivers. They portray the common behaviour of… Show more

In this paper, we present a user-centred approach
for designing and developing smart homes for people with
dementia. In contrast to most of the existing literature related to
dementia, the present approach aims at tailoring the system to the
specific needs of dementia using a scenario-based methodology.
Scenarios are based on typical dementia symptoms which are
collected from research literatures and validated by dementia
caregivers. They portray the common behaviour of people with
dementia. Because they explain real-world situations, scenarios
are meant to generalise the requirements of smart homes for
people with dementia. Hence, a top-down approach is followed
to summarise the content of the scenarios into the essential requirements
for smart home frameworks dedicated to monitoring
people with dementia. Show less

The technology of Smart Homes (SH), as an instance of ambient assisted living technologies, is designed to assist the homes’ residents accomplishing their daily-living activities and thus having a better quality of life while preserving their privacy. A SH system is usually equipped with a collection of inter-related software and hardware components to monitor the living space by capturing the behaviour of the resident and understanding his activities. By doing so the system can inform about… Show more

The technology of Smart Homes (SH), as an instance of ambient assisted living technologies, is designed to assist the homes’ residents accomplishing their daily-living activities and thus having a better quality of life while preserving their privacy. A SH system is usually equipped with a collection of inter-related software and hardware components to monitor the living space by capturing the behaviour of the resident and understanding his activities. By doing so the system can inform about risky situations and take actions on behalf of the resident to his satisfaction. The present survey will address technologies and analysis methods and bring examples of the state of the art research studies in order to provide background for the research community. In particular, the survey will expose infrastructure technologies such as sensors and communication platforms along with artificial intelligence techniques used for modeling and recognizing activities. A brief overview of approaches used to develop Human–Computer interfaces for SH systems is given. The survey also highlights the challenges and research trends in this area. Show less

Background: There is a high risk of tuberculosis (TB) disease diagnosis among conventional
methods.
Objectives: This study is aimed at diagnosing TB using hybrid machine learning approaches.
Materials and Methods: Patient epicrisis reports obtained from the Pasteur Laboratory in the
north of Iran were used. All 175 samples have twenty features. The features are classified based on
incorporating a fuzzy logic controller and artificial immune recognition system. The features… Show more

Background: There is a high risk of tuberculosis (TB) disease diagnosis among conventional
methods.
Objectives: This study is aimed at diagnosing TB using hybrid machine learning approaches.
Materials and Methods: Patient epicrisis reports obtained from the Pasteur Laboratory in the
north of Iran were used. All 175 samples have twenty features. The features are classified based on
incorporating a fuzzy logic controller and artificial immune recognition system. The features are
normalized through a fuzzy rule based on a labeling system. The labeled features are categorized
into normal and tuberculosis classes using the Artificial Immune Recognition Algorithm.
Results: Overall, the highest classification accuracy reached was for the 0.8 learning rate (α)
values. The artificial immune recognition system (AIRS) classification approaches using fuzzy logic
also yielded better diagnosis results in terms of detection accuracy compared to other empirical
methods. Classification accuracy was 99.14%, sensitivity 87.00%, and specificity 86.12%.
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In this article, a method that optimizes the information of an analyzed signal is described. This method is practicable for various analyses and in fact is an additional process that is used after the analysis.
We tendered our idea in our previous article. In this method, we first analyzed the signal, after which the first frame and some other frames were put in a matrix, where each row was a frame. Then the likeness of this matrix was computed with itself. Subsequently, this process was… Show more

In this article, a method that optimizes the information of an analyzed signal is described. This method is practicable for various analyses and in fact is an additional process that is used after the analysis.
We tendered our idea in our previous article. In this method, we first analyzed the signal, after which the first frame and some other frames were put in a matrix, where each row was a frame. Then the likeness of this matrix was computed with itself. Subsequently, this process was done for the second frame and
the other frames following it, after which it was done for all frames. Show less

Wireless sensor networks have been widely used in various areas, and their use in railway to reduce human and material losses has been a remarkable development. In this article, sensors placed in different places in railway are described and the way they recognize flaws in the railway is explained. The data read by the sensors are sent to the sink node to be processed. Fuzzy logic has been used to process these data.

Wireless sensor networks consist of a large number of sensor nodes having limited power. The mostimportant feature of these networks is the presence of dynamic topology which will lead to the mobility of the nodes. This mobility requires a routing capable of adapting to these changes. Despite the power restriction in these networks, the purpose in routing algorithm is not to find the shortest route; rather itis the power of each node which constitutes one of the most important issues. In this… Show more

Wireless sensor networks consist of a large number of sensor nodes having limited power. The mostimportant feature of these networks is the presence of dynamic topology which will lead to the mobility of the nodes. This mobility requires a routing capable of adapting to these changes. Despite the power restriction in these networks, the purpose in routing algorithm is not to find the shortest route; rather itis the power of each node which constitutes one of the most important issues. In this article, we have used soft computing techniques for routing in the network. The results obtained show that the combined method based on soft computing as compared to previous methods some what improves the minimalization of used power. Show less

In this article a new security model is introduced in which capabilities (such as loose connections, interactions independent of the technology and platform used among components, gradual development) and the service-oriented architecture, which is a new concept in architecture composed of (SOAP, WSDL, UDDI, …) standards, and the security measures of this architecture are used to address shortcomings in the security sections of wireless sensor networks (such as the fact that these sections are… Show more

In this article a new security model is introduced in which capabilities (such as loose connections, interactions independent of the technology and platform used among components, gradual development) and the service-oriented architecture, which is a new concept in architecture composed of (SOAP, WSDL, UDDI, …) standards, and the security measures of this architecture are used to address shortcomings in the security sections of wireless sensor networks (such as the fact that these sections are not concentrated, they are wireless, their cost cannot be reduced very much, they are dependent on nodes, their nodes perform several functions, etc.) So that a concentrated security system is established in the network and security shortcomings of WSN are reduced. Show less