Andrei Olaru

Andrei Olaru
Polytechnic University of Bucharest | UPB · Department of Computers

PhD

About

34
Publications
1,997
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169
Citations
Introduction
Andrei Olaru currently works at the Department of Computers, Polytechnic University of Bucharest. Their most recent publication is 'Extended Context Patterns - A Visual Language for Context-Aware Applications?'.
Additional affiliations
October 2009 - October 2011
Sorbonne Université
Position
  • PhD Student

Publications

Publications (34)
Chapter
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...
Conference Paper
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...
Conference Paper
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...
Chapter
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...
Article
Full-text available
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...
Article
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...
Chapter
There is a large body of research that lies at the intersection of the domains of context-awareness, multi-agent systems (MAS) and Ambient Intelligence (AmI)/Ubiquitous Computing (UbiComp). This is because, while multi-agent systems are an appropriate architecture for AmI implementations, one essential requirement for AmI is to be aware of the user...
Article
Full-text available
In the field of ambient assisted living, the best results are achieved with systems that are less intrusive and more intelligent, that can easily integrate both formal and informal caregivers and that can easily adapt to the changes in the situation of the elderly or disabled person. This paper presents a graph-based representation for context info...
Conference Paper
Reliable and scalable Ambient Intelligence means a distributed system of agents that are capable of working together or autonomously, depending on the requirements of the situation. In previous research we have argued in favor of the use of a representation for context information that can be distributed among agents, so that each agent knows only...
Article
Full-text available
There is currently a lot of work in Ambient Intelligence—or AmI—reporting on specific scenarios, or on implementations of particular cases. In the same time, there is a common agreement of the fact that AmI applications should be pervasive, covering a large number of devices, assisting a large number of people, and serving a large number of purpose...
Conference Paper
In the software implementation of a general Ambient Intelligence (AmI) system, there are two major issues, on which depend the flexibility and the performance of the project. One is the implementation paradigm - how the various entities are organized and how they interact; the other is the management of context information, and how context-awarenes...
Conference Paper
Full-text available
This paper introduces a declarative agent-oriented language for Ambient Intelligence – S-CLAIM – that allows programming reactive or cognitive mobile agents in a simple, easy-to-use manner while meeting AmI requirements. Based on a hierarchical representation of the agents, the language offers a natural solution to achieve context-sensitivity. S-CL...
Article
Most implementations of Ambient Intelligence - or AmI - systems realized over the last decade have focused on implementing complete systems that serve specific purposes. In our work we focus on that layer of an AmI system that handles the semantic-aware exchange of information in order to deliver the relevant information to the interested user. Our...
Article
In a future vision of Ambient Intelligence - or AmI - our surrounding environment will integrate a pervasive, interconnected network of sensors, intelligent appliances and computer-like devices. This implies, on the one hand, hardware and interface related issues, and, on the other hand, a layer of context-aware services that manages the large quan...
Article
Full-text available
In a layered vision of Ambient Intelligence, the intelligent services layer presents to researchers a great number of challenges, and it is especially interesting from the perspective of Artificial Intelligence and Multi-Agent Systems. While software agents have been used before for building AmI middleware, this paper proposes an agent-based archit...
Chapter
Full-text available
A central issue in the domain of Ambient Intelligence is context - awareness. While previous research in the field presents complex context-aware infrastructures, but with little flexibility and fixed context representations, this paper presents a simple, flexible and decentralized representation of context, for the detection of appropriate context...
Conference Paper
Full-text available
In this paper we present mobile Multi-Agent Systems (MAS) as a specific paradigm to design intelligent and distributed applications in the context of Ambient Intelligence (AmI). We discuss how mobility, coupled with MAS, can be useful to meet the requirements of AmI. Indeed, the main features of mobile MAS, such as natural distribution of the syste...
Conference Paper
Full-text available
In the domain of Ambient Intelligence, research goals are many times driven by scenarios that help envisage a world enriched by ambient, pervasive, intelligent services. So far, scenarios have most times presented the perception that one person has upon the system, with few details on how the system should work in the background in order to deal wi...
Conference Paper
Full-text available
In this paper we present a Multi-Agent System (MAS) paradigm and discuss how it can be used to design intelligent and distributed systems. The main features of this MAS, such as natural distribution of the system, inherent intelligence of its agents, and their mobility help address a large scope of distributed applications including the domain of a...
Article
Full-text available
Emergence is a key element in the research of multi-agent systems. Emergent properties provide higher level features to a system formed of simpler individuals. So far, emergence has been studied mostly through systems formed of reactive agents - that are easier to design and implement. As computational power increases and even small devices become...
Article
Full-text available
The plethora of interconnected devices that surrounds modern people has yet to work together as a whole. An intelligent environment must sense and react to the actions of people, but to that end a large quantity of information must be exchanged throughout the system. Under realistic conditions, it is impossible to control and coordinate the exchang...
Conference Paper
One of the main issues in the process of Knowledge Discovery in Databases is the Mining of Association Rules. Although a great variety of pattern mining algorithms have been designed to this purpose, their main problems rely on in the large number of extracted rules, that need to be filtered in a post-processing step resulting in fewer but more int...
Conference Paper
Full-text available
One of the central problems in knowledge discovery in databases, more precisely in the field of association rule mining, relies on the very large number of rules that classic rule mining systems extract. This problem is usually solved by means of a post-processing step, that filters the entire volume of extracted rules, in order to output only a fe...
Chapter
Full-text available
In a future vision of Ambient Intelligence - or AmI - our surrounding environment will integrate a pervasive, interconnected network of devices. One important concern in AmI is the exact manner in which the large quantities of generated information are managed by a system formed mostly of devices with limited capabilities. This paper presents the f...

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