1,507 research outputs found
Providing Spontaneous WLAN Guest Access as a Mobile Value Added Service
In this paper we describe the design and realization of a system that
allows guests to connect to a company’s internet-access channel via wireless
local area network (WLAN). The core of the corporate infrastructure stays
protected against unauthorized access. Although a growing number of
companies provide WLAN access for their employees, guest access is rarely
granted due to security concerns and substantial maintenance hurdles. Even if
a network administrator might be willing to provide such access, it often
would be done manually with substantial time delay. The solution we propose
to solve this problem and to simplify the whole procedure is based on
establishing a chain of trust. An authorized corporate user assumes the role of
a host who invites and trusts his guests, thus he issues access codes together
with the invitations. The system we propose is composed of two scenarios.
The first scenario is called the „consultant scenario“ and uses a Spontaneous
WLAN Guest Access Server (SpoGA Server). In the second scenario, the so
called „congress scenario“, we describe how to support a great number of
guests. Here we propose an „Extended Invitation Management System” (E–
IMS) for ease of use. This system can help organizers of events not only to
provide participants with wireless network access but also to support other
related tasks in the preparation of larger events. The current results as
described in the paper pave the way for field testing and broad enrollment. In
addition some considerations on further developments are provided
The Politics of Digital Pharmacology: Exploring the Craft of Collective Care
Digitization is transforming our world economically, culturally, and psychologically. The influx of new forms of communication, networking, and business opportunities, as well as new types of distraction, self-observation, and control into our societies represents an epochal challenge. Following Bernard Stiegler's concept of pharmacology, the authors propose to view these new forms as digital pharmaka. Properly dosed, they can enable new self-relationships and forms of sociality; in the case of overdose, however, there is a risk of intoxication. In this essay, the authors, and, in a detailed interview, Bernard Stiegler analyze this complex change in our world and develop new skills to use digital pharmaka
A Mobile Accident Report System
Rarely performed documentation tasks usually require support for the user so that the data is recorded both completely and correctly. The broad market penetration with mobile devices like smart phones provides new possibilities for giving support for these kinds of tasks. This paper focuses on one particular widely-used instance of such a documentation task, namely the European Accident Report (aka Agreed Statement of Facts on Motor Vehicle Accident). Firstly we discuss the advantages of media-break-free processing of all the relevant data. Secondly we present the client part of the application, which allows on-site documentation by any of the parties involved. Both application parts can be used for processing claims in the back office. We highlight the possibilities of service-chain integration, the digital accident file generated by using this solution and the resultant advantages for media-break-free processing of claims
The Politics of Digital Pharmacology
Digitization is transforming our world economically, culturally, and psychologically. The influx of new forms of communication, networking, and business opportunities, as well as new types of distraction, self-observation, and control into our societies represents an epochal challenge. Following Bernard Stiegler's concept of pharmacology, Felix Heidenreich and Florian Weber-Stein propose to view these new forms as digital pharmaka. Properly dosed, they can enable new self-relationships and forms of sociality; in the case of overdose, however, there is a risk of intoxication. In this essay, Felix Heidenreich, Florian Weber-Stein, and, in a detailed interview, Bernard Stiegler analyze this complex change in our world and develop new skills to use digital pharmaka
Convolutional Neural Networks for Survey Response Classification
Artificial Intelligence reveals great potential for enterprises e.g., intelligent services. However, small and medium enterprises struggle with Artificial Intelligence due to limited resources. Especially tasks such as survey response classification are yet not investigated. We address this research gap by means of a data science study. In particular, we analyze several baseline classification pipelines leveraging logistic regression, random forests, and linear support vector machines against wide headed CNN architectures with one-hot encoding or character embedding inputs. We find that the SVM model outperforms all other evaluated models in the setting at hand. In addition, we analyze the different predictions of the models and show typical prediction errors by means of a chord diagram of commonly misclassified brands
Challenges in the Use of Alternative Fuels: Solutions to handle Boil-Off Gas in Agricultural Machines
To meet the climate targets, it is necessary to reduce greenhouse gas emissions from all areas.
Liquefied Natural Gas (LNG), which consists largely of methane, can be produced sustainably
and it is suitable for mobile machines due to its high energy density. When storing LNG at
ambient temperatures, evaporation creates boil-off gas. Methane is a climate-damaging
greenhouse gas that must not be released into the environment. Therefore, in this paper,
concepts are developed and evaluated that enable the use of LNG in mobile machines without
blowing off gas during dormant periods. Using a simulation model, the components of the most
suitable concept for a combine harvester are selected and dimensioned
The Politics of Digital Pharmacology
Digitization is transforming our world economically, culturally, and psychologically. The influx of new forms of communication, networking, and business opportunities, as well as new types of distraction, self-observation, and control into our societies represents an epochal challenge. Following Bernard Stiegler's concept of pharmacology, Felix Heidenreich and Florian Weber-Stein propose to view these new forms as digital pharmaka. Properly dosed, they can enable new self-relationships and forms of sociality; in the case of overdose, however, there is a risk of intoxication. In this essay, Felix Heidenreich, Florian Weber-Stein, and, in a detailed interview, Bernard Stiegler analyze this complex change in our world and develop new skills to use digital pharmaka
Stride-to-Stride Variability of the Center of Mass in Male Trained Runners After an Exhaustive Run: A Three Dimensional Movement Variability Analysis With a Subject-Specific Anthropometric Model
The motion of the human body can be described by the motion of its center of mass (CoM). Since the trajectory of the CoM is a crucial variable during running, one can assume that trained runners would try to keep their CoM trajectory constant from stride to stride. However, when exposed to fatigue, runners might have to adapt certain biomechanical parameters. The Uncontrolled Manifold approach (UCM) and the Tolerance, Noise, and Covariation (TNC) approach are used to analyze changes in movement variability while considering the overall task of keeping a certain task relevant variable constant. The purpose of this study was to investigate if and how runners adjust their CoM trajectory during a run to fatigue at a constant speed on a treadmill and how fatigue affects the variability of the CoM trajectory. Additionally, the results obtained with the TNC approach were compared to the results obtained with the UCM analysis in an earlier study on the same dataset. Therefore, two TNC analyses were conducted to assess effects of fatigue on the CoM trajectory from two viewpoints: one analyzing the CoM with respect to a lab coordinate system (PV) and another one analyzing the CoM with respect to the right foot (PV). Full body kinematics of 13 healthy young athletes were captured in a rested and in a fatigued state and an anthropometric model was used to calculate the CoM based on the joint angles. Variability was quantified by the coefficient of variation of the length of the position vector of the CoM and by the components Tolerance, Noise, and Covariation which were analyzed both in 3D and the projections in the vertical, anterior-posterior and medio-lateral coordinate axes. Concerning PV we found that runners increased their stride-to-stride variability in medio-lateral direction (1%). Concerning PV we found that runners lowered their CoM (4 mm) and increased their stride-to-stride variability in the absorption phase in both 3D and in the vertical direction. Although we identified statistically relevant differences between the two running states, we have to point out that the effects were small (CV ≤ 1%) and must be interpreted cautiously
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