We propose and analyze an extension of the concept of RSVP to guarantee the service quality of mobile Internet-based applications. Our Mobile RSVP protocol provides an advanced resource reservation mechanism in a wire...
详细信息
ISBN:
(纸本)0780365968
We propose and analyze an extension of the concept of RSVP to guarantee the service quality of mobile Internet-based applications. Our Mobile RSVP protocol provides an advanced resource reservation mechanism in a wireless cellular environment. Furthermore, we propose the dynamic resource sharing algorithm to make better use of network resources in those cells, where advance reservation takes place. We analyze our proposed protocol and the corresponding dynamic resource sharing algorithm by simulating the behavior of distinct call types in a single cell. We also investigate the effect of user mobility behavior on the performance of future resource reservation protocols with mobility support. By analyzing the pattern of user mobility as well as possible application priorities, we hope to be able to put constraints to the scope of service provision.
We discuss the development of virtual communities and especially e-learning communities. In particular, we are inspired by VirRAD European project, and we present the intermediate results that have raised from the def...
详细信息
We discuss the development of virtual communities and especially e-learning communities. In particular, we are inspired by VirRAD European project, and we present the intermediate results that have raised from the definition of this virtual radiopharmacy community.
The Method of Auxiliary Sources (MAS) is a broadly used numerical technique, purposely designed for the solution of elliptic boundary value problems in Physics and engineering, including Electromagnetics (EM). Superfi...
详细信息
Sequential recommendation aims to identify and recommend the next few items of users’ interest. It becomes an effective tool to help users select their favorite items from a variety of options. A key challenge in seq...
Sequential recommendation aims to identify and recommend the next few items of users’ interest. It becomes an effective tool to help users select their favorite items from a variety of options. A key challenge in sequential recommendation is to learn the patterns and dynamics, which are most pertinent to inform future interactions of users. With the prosperity of deep learning, many deep models, particularly based on recurrent neural networks [1] and with attention mechanisms [2] , [3] , have been developed for sequential recommendation purposes. However, our analysis demonstrates that, these deep models, particularly those with attention mechanisms, may not always learn meaningful attention weights from the extremely sparse recommendation data, and thus, could degrade the recommendation performance. Therefore, in this study, instead of deep models, we develop novel, effective and efficient hybrid associations models (HAM) to better learn from the sparse and limited recommendation data. This study has been published in IEEE Transactions on Knowledge and Data engineering. Please refer to the full manuscript [4] for more details.
Crowdsourcing systems offer numerous advantages for acquiring data, which can contribute to the development of modern concepts such as Smart Cities. Air quality in urban areas has been identified as a crucial theme an...
Crowdsourcing systems offer numerous advantages for acquiring data, which can contribute to the development of modern concepts such as Smart Cities. Air quality in urban areas has been identified as a crucial theme and requirement, towards ideal city of the future that can be adapted upon its citizens' needs and comfort. Thus, besides the sensing infrastructure, a complementary system must be implemented in order to enable the public authority and municipality awareness over citizens' personalised and subjective input, in a cost efficient way that can be easily upscaled. In this work, we present HealthAir, an mHealth application alongside its subsystems (namely a web application and a smartwatch version), that aims to increase and complement the sensing capacity of a Smart City, with respect to the air quality-wise health of the citizens. This is achieved based on questionnaires and surveys approved by the health community, and services and features that implement a bidirectional interaction between the system and the users. Finally, users' data and air quality measurements from a third party platform are combined and presented for the case study realization and demonstration.
Most of the typical reinforcement learning algorithms help wireless devices choose the security policy such as the moving strategy and communication policy by exploring all the possible state-action pairs including th...
详细信息
This paper presents an adaptation of the tensor voting framework for color image denoising, while preserving edges. Tensors are used in order to encode the CIELAB color channels, the uniformity and the edginess of ima...
详细信息
Hybrid systems are dynamical systems with continuous evolution of states and discrete evolution of states and governing equations. We have worked on the design and implementation of HydLa, a constraint-based modeling ...
详细信息
Hybrid systems are dynamical systems with continuous evolution of states and discrete evolution of states and governing equations. We have worked on the design and implementation of HydLa, a constraint-based modeling language for hybrid systems, with a view to the proper handling of uncertanties and the integration of simulation and verification. HydLa's constraint hierarchies facilitate the description of constraints with adequate strength, but its semantical foundations are not obvious due to the interaction of various language constructs. This paper gives the declarative semantics of HydLa and discusses its properties and consequences by means of examples.
Forward error correction (FEC) is a method for error control of data transmission adopted in several mobile multicast standards. FEC is a feedback free error recovery method where the sender introduces redundant data ...
详细信息
Forward error correction (FEC) is a method for error control of data transmission adopted in several mobile multicast standards. FEC is a feedback free error recovery method where the sender introduces redundant data in advance with the source data enabling the recipient to recover from different arbitrary packet losses. Recently, the adoption of FEC error control method has been boosted by the introduction of powerful Application Layer FEC (AL-FEC) codes i.e., RaptorQ codes. Furthermore, several works have emerged aiming to address the efficient application of AL-FEC protection introducing deterministic or randomized online algorithms. The investigation of AL-FEC application as primary or auxiliary error protection method over mobile multicast environments is a well investigated field. However, the opportunity of utilizing the AL-FEC over mobile unicast services as the only method for error control, replacing common feedback based methods that are now considered to be obsolete, is not yet examined. In this work we provide an analysis on the feasibility of AL-FEC protection over unicast delivery utilizing online algorithms on the application of AL-FEC codes with exceptional recovery performance.
The IT industry has been focusing for several years on providing to users and designers the possibility of creating software applications disregarding hardware resources. Multi-processor architectures seem to be more ...
详细信息
The IT industry has been focusing for several years on providing to users and designers the possibility of creating software applications disregarding hardware resources. Multi-processor architectures seem to be more of interest in recent developments because of their capacity to exploit programmable parallelism at acceptable costs without posing severe software designing problems. But in any thinkable scenario, software will always be dependent on the hardware it is executing on. In another matter of speaking, hardware performances will always affect software's ability in providing results. There is also the question if the gathered results are correct or not, if the system that provides them is fast, safe and if it is a reliable and a maintainable one. This paper proposes a scalable architecture surrounding a single core microprocessor with the purpose of increasing computational speed and reliability. For achieving this, a flexible hardware platform would be appropriate, e.g. field programmable gate arrays (FPGAs). The single core system will revolve around a Picoblaze soft-core microprocessor. By generating a series of modules with the same functionality as the executing software, an N-module redundancy system will increase systems security and reliability.
暂无评论