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In the Industry 4.0 era, time-sensitive and missioncritical control applications still have a long way to go, from being tied down and co-located with the systems they control, to taking full advantage of the cloud. Conservatively keeping applications local will deprive these complex applications of abundantcompute capacity, wider system integration, and the potential for collaborative control eff
The Mobile Service Support system (MSS), which Ericsson AB develops, handles the setup of new subscribers and services into a mobile network. Experience from deployed systems show that traffic monitoring and control of the system will be crucial for handling overload situations that may occur at sudden traffic surges. In this paper we identify and explore some important control challenges for this
Nocturnal hypoglycemia is a common and potentially very dangerous condition facing persons with insulin-treated diabetes. To reduce the risk of going low while sleeping, many patient wilfully elevate their glucose level before bedtime, thereby also eroding the conditions for a sound glucose control for the next day. Recent advances in sensor technology allow for real-time frequent monitoring of th
Advanced telecommunication applications are often based on a multi-tier architecture, with application servers and database servers. With a rapidly increasing development of cloud computing and data centers, characterizations of the dynamics for database servers during changing workloads will be a key factor for analysis and performance improvements in these applications. We propose a multi-step a
Competition is an integrated part of most civilizations, from sports to education. Often competition arise whether or not it was intended and higher education is no exception from this. Should teachers acknowledge this and try to introduce competition as a part of the course or should they try to prevent competition, even spontaneously arisen competition? In this paper an overview of effects of co
In this chapter a technology for the enhancement of video data obtained at low light levels is presented. The method was inspired by the way in which nocturnal animals adaptively sum intensities, spatially and temporally, to improve vision at night. Due to the low photon count under these conditions the visual input is dark and unreliable, which leads to noisy low contrast images. The noise become
This article describes results of the work on knowledge representation techniques chosen for use in the European project SIARAS (Skill-Based Inspection and Assembly for Reconfigurable Automation Systems). Its goal was to create intelligent support system for reconfiguration and adaptation of robot-based manufacturing cells. Declarative knowledge is represented first of all in an ontology expressed
We present a comparative exploratory analysis of two proximity networks of mobile phone users, the Proximates network and the Reality Mining network. Data for both networks were collected from mobile phones carried by two groups of users. Periodic Bluetooth scans were performed to detect the proximity of other mobile phones. The Reality Mining project took place in 2004-2005 at MIT, while Proximat
Resource optimization mechanisms, as admission control and traffic management, require accurate performance models that capture the dynamics of the system during high loads. The main objective of this paper is to develop an accurate performance model for database servers in a telecommunication service management system. We investigate the use of a server model with load dependency. Concurrent requ
This paper presents a 3rd-order, 3-bit continuous time (CT) Delta-Sigma modulator for an LTE radio receiver. By adopting a return-to-zero (RZ) pulse in the innermost DAC, the modulator shows a reduced sensitivity to loop-delay variations, and the additional loop delay compensation usually needed in CT modulators can be omitted. The modulator has been implemented in a 65nm CMOS process, where it oc
This paper describes an attempt to provide more intelligence to industrial robotics and automation systems. We develop an architecture to integrate disparate knowledge representations used in different places in robotics and automation. This knowledge integration framework, a possibly distributed entity, abstracts the components used in design or production as data sources, and provides a uniform
Popular Abstract in Swedish Utgångspunkten i den här avhandlingen är det faktum att många av Sveriges kommuner har problem med minskande invånarantal och en skev befolkningsstruktur. Den här typen av utvecklingsmönster medför ofta svårigheter för en kommun att attrahera människor att flytta till kommunen, och att upprätthålla en tillfredsställande kommunal service. I sin förlängning kan detta få nMany of Sweden’s municipal districts show a population decline as well as an uneven population distribution. This pattern is neither desirable nor socially sustainable. Sustainable development is a well-known term often discussed from an ecological perspective. At the same time it is established that social and ecological sustainability are closely linked in several ways. In this dissertation soci
This article contains a study of how spatial errors and receiver imperfections affect the angle of arrival estimation accuracy for virtual antenna arrays. A virtual antenna array consists of one receiver element whose location is tracked as the element is moved and in this work, linear arrays are studied. If the location of the receiver is tracked using an inertial measurement unit, an interesting
We consider the problem of approximating a given function in two dimensions by a sum of exponential functions, with complex-valued exponents and coefficients. In contrast to Fourier representations where the exponentials are fixed, we consider the nonlinear problem of choosing both the exponents and coefficients. In this way we obtain accurate approximations with only few terms. Our approach is bu
In this paper, we describe a concise method for the feature-based representation of regions in an indoor environment and show how it can also be applied for door-passage-independent detection of transitions between regions to improve communication with a human user.
Previous depth buffer compression schemes are tuned for compressing depths values generated when rasterizing static triangles. They provide generous bandwidth usage savings, and are of great importance to graphics processors. However, stochastic rasterization for motion blur and depth of field is becoming a reality even for real-time graphics, and previous depth buffer compression algorithms fail
Multi-step ahead response time prediction of CPU constrained computing systems is vital for admission control, overload protection and optimization of resource allocation in these systems. CPU constrained computing systems such as web servers can be modeled as single server queuing systems. These systems are stochastic and nonlinear. Thus, a well-designed nonlinear prediction scheme would be able
This manuscript presents an reconfigurable architecture, suitable to process time synchronization for multiple OFDM standards. The proposed architecture is based on a coarse-grained reconfigurable cell array, and the different radio standards under analysis are IEEE 802.11n, 3GPP Long Term Evolution and Digital Video Broadcast for cellular devices. With the use of a 2-by-2 cell array, composed of
