Refine
Year of publication
Document Type
- Conference Proceeding (28) (remove)
Language
- English (28) (remove)
Has Fulltext
- yes (28)
Keywords
- Cache (3)
- DRAM (3)
- SRAM (3)
- PIM (2)
- 5G networks (1)
- Ashur Ada (1)
- Ashuradeh (1)
- CAM (1)
- Caspian Sea (1)
- Data retention voltage (DRV) (1)
Faculty / Organisational entity
Users privacy is more and more relevant in today digital world. In this paper, we study how mobile network operators (MNOs) practices can lead to loss of privacy for mobile phone subscribers. This article focuses on the mobile phone service providers' implication in privacy violation. Network attacks from other agents, such as cyber-criminals, are not covered in this work.
We review the impact of the location tracking improvement from 2G to 5G networks on police investigations and users' privacy rights.
We also study the role of MNOs in users' sensitive data monetization and the legality behind this practice.
There are few existing publications aiming to enhance mobile phone users' privacy protection against mobile broadband internet providers. We have tried to list all of them in this article.
The objective of current research on internal combustion engines
is to further reduce exhaust emissions while simultaneously
reducing fuel consumption. The resulting measures often mean
an increase in complexity of internal combustion engines, which
on one hand increases production cost and on the other hand
increases the susceptibility of the overall system to defects. It is
therefore necessary to develop technologies which can generate
an advantage for the consumer despite increasing complexity.
Within the scope of the project “High Efficiency Diesel Engine
Concept” (“Hocheffizientes Diesel-Motoren-Konzept” HDMK),
funded by the Federal Ministry of Economic Affairs and Energy
with TÜV Rheinland as project management organization
(funding code: 19U15003A), two engine concepts were
investigated and combined on a John Deere four-cylinder inline
engine.
On the one hand, a new cylinder activation concept ("3/4-
cylinder concept") was implemented with the aim of reducing
fuel consumption. On the other hand, a fully variable valve train
was developed for this engine, which both improves the
functionality of the 3/4-cylinder concept and can have a positive
influence on exhaust emissions through internal exhaust gas
recirculation.
A comparison of this engine concept with its series reference
based on measurement data showed a fuel economy advantage
of up to 5.2% in the low load field cycles of the DLG PowerMix.
The maximum fuel consumption benefit in the low load engine
regime exceeded 15% in some of the operating points.
As a final step, the engine was modified for the integration into
an existing and working tractor, maintaining the available
installation space of the powertrain.
Education is the Achilles heel of successful resuscitation in cardiac arrest. Therefore, we aim to contribute to the educational efficiency by providing a novel augmented-reality (AR) guided interactive cardiopulmonary resuscitation (CPR) "trainer". For this trainer, a mixed reality smart glass, Microsoft HoloLens, and a CPR manikin covered with pressure sensors were used. To introduce the CPR procedure to a learner, an application with an intractable virtual teacher model was designed. The teaching scenario consists of the two main parts, theory and practice. In the theoretical part, the virtual teacher provides all information about the CPR procedure. Afterward, the user will be asked to perform the CPR cycles in three different stages. In the first two stages, it is aimed to gain the muscle memory with audio and optical feedback system. In the end, the performance of the participant is evaluated by the virtual teacher.
We present a study comparing the effect of real-time wearable feedback with traditional training methods for cardiopulmonary resuscitation (CPR). The aim is to ensure that the students can deliver CPR with the right compression speed and depth. On the wearable side, we test two systems: one based on a combination of visual feedback and tactile information on a smart-watch and one based on visual feedback and audio information on a Google Glass. In a trial with 50 subjects (23 trainee nurses and 27 novices,) we compare those modalities to standard human teaching that is used in nurse training. While a single traditional teaching session tends to improve only the percentage of correct depth, it has less effect on the percentage of effective CPR (depth and speed correct at the same time). By contrast, in a training session with the wearable feedback device, the average percentage of time when CPR is effective improves by up to almost 25%.
The Power and Energy Student Summit (PESS) is designed for students, young professionals and PhD-students in the field of power engineering. PESS offers the possibility to gain first experience in presentation, publication and discussion with a renowned audience of specialists. Therefore, the conference is accompanied and supervised by established scientists and experts. The venue changes every year. In 2018, the University of Kaiserslautern held the eighth PESS conference. This document presents the submissions of this conference.
Autonomous driving is disrupting the conventional automotive development. In fact, autonomous driving kicks off the consolidation of control units, i.e. the transition from distributed Electronic Control Units (ECUs) to centralized domain controllers. Platforms like Audi’s zFAS demonstrate this very clearly, where GPUs, Custom SoCs, Microcontrollers, and FPGAs are integrated on a single domain controller in order to perform sensor fusion, processing and decision making on a single Printed Circuit Board (PCB). The communication between these heterogeneous components and the algorithms for Advanced Driving Assistant Systems (ADAS) itself requires a huge amount of memory bandwidth, which will bring the Memory Wall from High Performance Computing (HPC) and data-centers directly in our cars. In this paper we highlight the roles and issues of Dynamic Random Access Memories (DRAMs) for future autonomous driving architectures.
The authors explore the intrinsic trade-off in a DRAM between the power consumption (due to refresh) and the reliability. Their unique measurement platform allows tailoring to the design constraints depending on whether power consumption, performance or reliability has the highest design priority. Furthermore, the authors show how this measurement platform can be used for reverse engineering the internal structure of DRAMs and how this knowledge can be used to improve DRAM’s reliability.
An Adaptive and Dynamic Simulation Framework for Incremental, Collaborative Classifier Fusion
(2016)
Abstract. To investigate incremental collaborative classifier fusion techniques, we have developed a comprehensive simulation framework. It is highly flexible and customizable, and can be adapted to various settings and scenarios. The toolbox is realized as an extension to the NetLogo multi-agent based simulation environment using its comprehensive Java- API. The toolbox has been integrated in two di↵erent environments, one for demonstration purposes and another, modeled on persons using re- alistic motion data from Zurich, who are communicating in an ad hoc fashion using mobile devices.
Component fault trees that contain safety basic events as well as security basic events cannot be analyzed like normal CFTs. Safety basic events are rated with probabilities in an interval [0,1], for security basic events simpler scales such as \{low, medium, high\} make more sense. In this paper an approach is described how to handle a quantitative safety analysis with different rating schemes for safety and security basic events. By doing so, it is possible to take security causes for safety failures into account and to rate their effect on system safety.
In most cases in a safety analysis the influences of security problems are omitted or even forgotten. Because more and more systems are accessible from outside the system via maintenance interfaces, this missing security analysis is becoming a problem. This is why we propose an approach on how to extend the safety analysis by security aspects. Such a more comprehensive analysis should lead to systems that react in less catastrophic ways to attacks.