Adina Magda Florea

Polytechnic University of Bucharest | UPB · Department of Computers

Autonomous driving is a complex task that requires high-level hierarchical reasoning. Various solutions based on hand-crafted rules, multi-modal systems, or end-to-end learning have been proposed over time but are not quite ready to deliver the accuracy and safety necessary for real-world urban autonomous driving. Those methods require expensive ha...

1) Objective: We explore the predictive power of a novel stream of patient data, combining wearable devices and patient reported outcomes (PROs), using an AI-first approach to classify the health status of Parkinson's disease (PD), multiple sclerosis (MS) and stroke patients (collectively named PMSS). (2) Background: Recent studies acknowledge the...

Stroke is one of the leading causes of disability and death worldwide, a severe medical condition for which new solutions for prevention, monitoring, and adequate treatment are needed. This paper proposes a SDM framework for the development of innovative and effective solutions based on artificial intelligence in the rehabilitation of stroke patien...

Nowadays, neurological diseases represent a medical emergency for which new prevention, monitoring and adequate treatment solutions are needed. ALAMEDA project proposes a monitoring solution for patients with Parkinson’s disease, Multiple Sclerosis, and Stroke, using multiple sensors and specific applications to collect information on the condition...

In the world of multi-agent system (MAS) frameworks, developers are many times forced into a fixed and reduced array of abstractions, with limited options in expressive modeling of all the components of a MAS. For instance, in JADE, the most popular agent framework, developers are limited to using agents as sole abstraction for all elements of the...

Agent-oriented software engineering has recently seen a sustained effort towards the definition of a new class of Multi-Agent System design, called Hypermedia MAS, which promotes an alignment between MAS engineering and the Web architecture to enable development of large, open, dynamic and long-lived interaction systems. A major challenge in these...

Digital therapy in neurological diseases involves covering many aspects of the patient's health using specific smart devices. The use of digital technologies in combination with evidence-based medicine contributes to treatment efficiency and personalized patient intervention. Among the digital devices used in the medical field, especially in the mo...

As a result of the lack of access to hospitals for medical students during the COVID-19 pandemics, a web-based platform is being developed in partnership between the Carol Davila University of Medicine and Pharmacy in Bucharest and the University Politehnica of Bucharest. The platform allows medical students to simulate their interactions with pati...

The practical training in consulting and diagnosing a patient is essential for medical students. Any disruption of the normal practical training due to different reasons, such as the restrictions that were imposed during the COVID-19 pandemic, will prevent students from gaining those essential skills. To answer this provocation, a web-based platfor...

Human action recognition has a wide range of applications, including Ambient Intelligence systems and user assistance. Starting from the recognized actions performed by the user, a better human–computer interaction can be achieved, and improved assistance can be provided by social robots in real-time scenarios. In this context, the performance of t...

Space Surveillance and Tracking is a task that requires the development of systems that can accurately discriminate between natural and man-made objects that orbit around Earth. To manage the discrimination between these objects, it is required to analyze a large amount of partially annotated astronomical images collected using a network of on-grou...

Currently, the importance of autonomous operating devices is rising with the increasing number of applications that run on robotic platforms or self-driving cars. The context of social robotics assumes that robotic platforms operate autonomously in environments where people perform their daily activities. The ability to re-identify the same people...

Restrictions imposed during the COVID-19 pandemic have prevented medical students from having regular access to hospitals in Romania. This caused a disruption in the normal educational flow that leads medical students to gain essential skills and experience in the practice of consulting and diagnosing a patient. To alleviate the issue a web-based...

Service robots will be a necessity for humans in many areas where robots will provide varied daily services that will become more sophisticated and superior to the capabilities of robots. We show how our robotic system can handle multiple re- quired tasks either sequentially, simultaneously, or concurrently. These tasks can be requested from intern...

With the help of telemedicine, patients can be treated by remote specialists through teleconference. In addition to the communication between health professionals and their patients, telemedicine should coordinate and manage the day-to-day operations and it must have a well-defined service request and incident management process. A support process...

Social and service robots are designed to achieve complex tasks that are increasing daily. Cloud resources enhance service robots with strong computing capabilities and higher data storage centers. One of the major drawbacks of the cloud robotics model is the network latency that edge computing addresses. Considering the capabilities that a service...

Action recognition plays an important role in various applications such as video monitoring, automatic video indexing, crowd analysis, human-machine interaction, smart homes and personal assistive robotics. In this paper, we propose improvements to some methods for human action recognition from videos that work with data represented in the form of...

Recent studies in social robotics show that it can provide economic efficiency and growth in domains such as retail, entertainment, and active and assisted living (AAL). Recent work also highlights that users have the expectation of affordable social robotics platforms, providing focused and specific assistance in a robust manner. In this paper, we...

Social robot in service is radically changing the ways of performing tasks and it becomes a distinct and valuable nascent. To achieve persist autonomy, robotic systems implement a closed-loop consisting of at least planning, reasoning and acting phases. From the continual loop perspective, this paper presents the ROSPlan framework, as a task planni...

Deploying a large number of mobile agents in scenarios where agents migrate frequently and/or exchange messages frequently requires methods for message delivery that are adequate to these specific situations. Deciding on which message delivery model to use, and whether a newly developed model is better than existing ones, may be difficult without a...

The number of elderly people (aged 60 years or over) is increasing significantly. Moreover, this happens in the context of increasing well-being costs and decreasing caregiver availability. Therefore, technology must create assisted living solutions that support elderly in their daily activities and ensure their continuous health-monitoring, safety...

This book illustrates the rapid pace of development in intelligent assistive technology in recent years, and highlights some salient examples of using modern IT&C technologies to provide devices, systems and application software for persons with certain motor or cognitive disabilities. The book proposes both theoretical and practical approaches to...

Deploying context management systems at a global scale comes with a number of challenges and requirements. We argue that the hypermedia model and the agent-oriented paradigm help achieve the vision of Context-as-a-Service. We categorize challenges according to context processing concerns and use a scenario to exemplify how the proposed architectura...

Robust action recognition methods lie at the cornerstone of Ambient Assisted Living (AAL) systems employing optical devices. Using 3D skeleton joints extracted from depth images taken with time-of-flight (ToF) cameras has been a popular solution for accomplishing these tasks. Though seemingly scarce in terms of information availability compared to...

Context-awareness is central to many applications in Ambient Intelligence. The paper presents the functionality of a context reasoning engine, called CONSERT, for developing ambient intelligence applications, which builds on semantic complex event processing. The implementation of core rule processing using the DROOLS Fusion framework and the advan...

The field of assistive robotics is gaining traction in both research as well as industry communities. However, capabilities of existing robotic platforms still require improvements in order to implement meaningful human-robot interactions. We report on the design and implementation of an external system that significantly augments the person detect...

To keep up with current technological developments, the engineering of multi-agent systems (MAS) has to provide solutions to: (i) support large scale systems, (ii) cope with open systems, and (iii) support humans in the loop. In this paper, we claim that the World Wide Web provides a suitable middleware for engineering MAS that address these challe...

Nowadays, eLearning becomes an important way to transfer knowledge to learners. Thus, the number of eLearning content (eLearning websites, digital books, tutorials) has increased significantly during the last decade. However, the majority of the available eLearning solutions interact with the user through the traditional Human Computer Interface, u...

In this paper, we present the outcomes and conclusions obtained by involving seniors from three countries (Denmark, Poland and Romania) in an innovative project funded under the European Ambient Assisted Living (ALL) program. CAMI stands for “Companion with Autonomously Mobile Interface” in “Artificially intelligent ecosystem for self-management an...

The paper presents a visual language that can help users of a context-aware application represent the current situation, or situations they wish detected, in a language that is both formally defined, and readable and understandable by humans and machines alike. Inspired from Regular Expressions, the concept of Extended Concept Pattern provides both...

Physical activity represents a key element for elderly people to maintain a healthy life. This paper presents a game for supporting and stimulating elderly people in performing physical activity. The game is composed of different type of exercises that are selected based on the user’s profile and health status. The results are presented to the user...

In this paper we present a deep reinforcement learning approach for learning to play a time extended social dilemma game in a simulated environment. Agents face differ- ent types of adversaries with different levels of commitment to a collaborative strategy. Our method builds on recent advances in policy gradient training using deep neural networks...

The increase in life expectancy and the slumping birth rates across the world result in lengthening the average age of the society. This change in demography has many consequences, the major being the insufficient number of caregivers. Therefore, we are in need of techniques that will assist the elderly in their daily life, while preventing their s...

Ambient Assistive Living (AAL) applications allow elderly people to maintain a healthy life style and live longer in their homes. In this paper we describe a platform that combine physical exercises, health monitoring with a reminder component implemented as a multimodal interface adapted to elderly needs for maintaining a healthy lifestyle for eld...

With the continuous ageing of the population, the demand for different healthcare services is increasing at a fast pace. At the same time, the number of caregivers is limited and the cost of well-being is increasing. Therefore, there is a recognized need for technologies that assist elderly people in their daily activities and ensure their safety a...

Over the last two decades, technology has evolved fast causing mass evolution in every aspect of life, among which health care domain and human-machine interaction. However, the benefits of the technology progress were limited for its elderly users, since the traditional human-machine interfaces were always a barrier between them and any new device...

In this paper we present the Ant Intelligent Robot (AIR), a miniature mobile platform designed for swarm robotic research and education. The proposed system has a modular and distributed architecture that provides the necessary versatility, robustness and user accessibility to enable the study of a broad range of applications, while achieving a low...

Applications envisioned for the Internet of Things (IoT) would generally have to fulfill their design goals by mashing up devices and digital services in a manner that is both flexible, such that they can adapt to dynamic environments, and responsive, such that they can react to sensor and user input in a timely fashion. Most existing approaches fo...

To cope with dynamic environments, Internet of Things (IoT) applications are expected to autonomously discover and interact with services at runtime in pursuit of design or user-specified goals. On the one hand, various paradigms and technologies are available to program goal-driven autonomous software agents, and on the other hand hypermedia-drive...

The increasing ageing population worldwide imposes some new challenges to the society like the provision of dependable support while facing a shortage in the numbers of caregivers, increased health costs and the emergence of new diseases. As such there is a great demand for technologies that support the independent and safe living of the elderly an...

This chapter focuses on experience of how one can achieve the goal of providing smart city users with fresh, relevant information, promptly, without the users needing to offer personal information in exchange, except when the information is absolutely necessary and the user is fully aware of the transfer. The author has grouped the requirements int...

The main issue addressed in our case study is the evaluation of the drinking water resource from the Tigris River within the Baghdad City area. Water quality has an important impact on human health since different diseases can be the result of poor quality. This paper presents several strategies to manage water quality and water pollution in order...

In the vision of a future pervaded by Ambient Intelligence (AmI), innovative solutions are required in order to facilitate the development of applications able to fulfill the real needs of the users. In using agents for building AmI applications, there is a lack of platforms and languages that strike a good balance between flexibility and power of...

Algorithms represent one of the fundamental issues in computer science, while asymptotic notations are widely accepted as the main tool for estimating the complexity of algorithms. Over the years a certain number of asymptotic notations have been proposed. Each of these notations is based on the comparison of various complexity functions with a giv...

In the last decades, social choice theory has gained a significant popularity. Its main application areas are social sciences, political sciences, economic sciences and computer science. Computational social choice is a new research area situated at the intersection of social choice theory and computer science. Another popular and relatively new re...

Context-awareness is a key feature of Ambient Intelligence and future intelligent systems. In order to achieve context-aware behavior, applications must be able to detect context information, recognize situations and correctly decide on context-aware action. The representation of context information and the manner in which context is detected are c...

With the increasing openness and complexity introduced by recent Ambient Intelligence application domains (e.g. Web-of-Things, Sensing-as-a-Service), adaptation of Context Provisioning becomes a key issue. However, methods to easily specify and engineer such mechanisms remain insufficiently explored. In this work we present and evaluate our approac...

Industry involvement in the Ambient Intelligence (AmI) domain together with openness and complexity expected from context-aware applications drive research into generic context management middleware (CMM) solutions. However, the variety of AmI scenarios requires flexibility in design-time and run-time deployment options, while existing CMM approach...

Industry involvement in the Ambient Intelligence (AmI) domain together with openness and complexity expected from contextaware applications drive research into generic context management middleware (CMM) solutions. However, the variety of AmI scenarios requires flexibility in design-time and run-time deployment options, while existing CMM approache...

This paper presents CAmI, an agent oriented programming language for the development of ambient intelligence applications and for the further integration of the developed applications into complex, large-scale, AmI environments. The presented language is easy to learn and understand, modular and it offers many advantages that make it suited for the...

Ambient Intelligence (AmI) is experiencing an increasing development of applications. Flexibility and genericity in the deployment and provisioning of context management solutions are key issues to be able to tackle with the large variety of domains of these context-aware applications. Existing proposals of Context Management Middleware (CMM) are s...

Representation and reasoning about context information is a main research area in Ambient Intelligence (AmI). Context modeling in such applications is facing openness and heterogeneity. To tackle such problems, we argue that usage of semantic web technologies is a promising direction. We introduce CONSERT, an approach for context meta-modeling offe...

The main components of a supervising system is detecting and tracking of the supervised person in an intelligent room. This paper presents architecture for a non-intrusive multi-agent system for person detection and tracking. The main objective of this system is to offer continuity over the user’s movement, as it can be controlled in such a way so...

Semantic web services represent an important and very active research area in computer science. The semantic description of a web service has a crucial role when working with semantic web services. In this paper we propose a method for representing the semantic description of a web service using complexity functions. The main result of our paper is...

This paper presents a comparative study between a number of data mining, knowledge discovery tools and software packages to be used in a Decision Support System (DSS) for water resources management. The case study deals with the evaluation of water quality of Tigris River within Baghdad city area. In the case of Tigris River alternative actions for...