Refine
H-BRS Bibliography
- yes (69)
Departments, institutes and facilities
- Fachbereich Informatik (69) (remove)
Document Type
- Conference Object (42)
- Article (17)
- Part of a Book (4)
- Conference Proceedings (2)
- Book (monograph, edited volume) (1)
- Research Data (1)
- Master's Thesis (1)
- Report (1)
Year of publication
- 2016 (69) (remove)
Keywords
- Fas (2)
- IEEE802.11 (2)
- Intelligent Transport System (2)
- Large, high-resolution displays (2)
- Long-Distance WiFi (2)
- Single Instruction Multiple Data (SIMD) (2)
- SpMV (2)
- Sparse Matrix Vector multiply (SpMV) (2)
- Vehicular Ad hoc Networks (2)
- WiLD (2)
- intrinsics (2)
- 0-1-Integer-Problem (1)
- 3D user interface (1)
- ARM Cortex M3 Processor (1)
- Actuators (1)
- Advanced Driver Assistance Systems (1)
- Autoimmune disease (1)
- Autonomy (1)
- B-cell lymphoma (1)
- BCL2 (1)
- Benchmarking (1)
- Blocking (1)
- CUDA (1)
- Code Generation (1)
- Cooperative Awareness Message (1)
- Cutting sticks-Problem (1)
- Directed Acyclic Graph (1)
- Directional Antenna (1)
- Distributed rendering (1)
- Domain-Specific Modeling Languages, (1)
- Drug resistance (1)
- Elliptic Curve Cryptography (1)
- Embedded software (1)
- Empirical study (1)
- FGR (1)
- Factory instrumentation (1)
- Fault analysis (1)
- Fault-channel watermarks (1)
- Field Study (1)
- Flussnetz (1)
- Force (1)
- Force field (1)
- Friction (1)
- GPU (1)
- Gnu Linear Programming Kit (1)
- Gradient-boosting (1)
- Graphentheorie (1)
- Grasping (1)
- HDAC inhibitor (1)
- HPC (1)
- Hand Tracking (1)
- Heart Rate Prediction (1)
- High-performance computing (1)
- Histograms (1)
- IP protection (1)
- Industry 4.0 (1)
- Instance-based learning (1)
- Integral backstepping technique (1)
- Intel Xeon Phi (1)
- Interaction (1)
- Issue tracking systems (1)
- KNN (1)
- Kombinatorische Optimierung (1)
- LP-Heuristik (1)
- Lagerlogistik (1)
- Language Engineering (1)
- Lehrbuch (1)
- Lighting simulation (1)
- Linear quadratic regulator (1)
- Linear regression (1)
- Lineare Programmierung (1)
- Longley-Rice (1)
- Lymphoproliferative disorder (1)
- MAC (1)
- Machine Learning (1)
- Manipulation tasks (1)
- Maximalflussproblem (1)
- Mengenpartitionierungsproblem (1)
- Minimaler Schnitt (1)
- Mining Software Repositories (1)
- Mobile robotics (1)
- Model Fitting (1)
- Model-Driven Engineering (1)
- Model-free control (1)
- Modular software packages (1)
- Molecular modeling (1)
- Motion Capture (1)
- Musical Performance (1)
- NFKB (1)
- NP-Vollständigkeit (1)
- Natural Language Processing (1)
- Navigation interface (1)
- Nonlinear control quadrotor uav (1)
- Numerical optimization (1)
- Nvidia graphic processors (1)
- Object detection (1)
- Object recognition (1)
- Open-source (1)
- OpenACC (1)
- OpenFlow (1)
- OpenMP (1)
- OpenMP, unrolling (1)
- Operation Research (1)
- Optimierungsproblem (1)
- Path-Packing (1)
- Performance (1)
- Performance Simulation (1)
- Performance prediction (1)
- Predictive Models (1)
- Privacy (1)
- Propagation (1)
- Pseudonym Concept (1)
- Public Key Infrastructure (1)
- Q measurement (1)
- RoboCup industrial (1)
- Robotics (1)
- Robustness (1)
- Rucksackproblem (1)
- Rule-based production systems (1)
- SAHA (1)
- SDN (1)
- SDWN (1)
- ScalarMultiplication (1)
- Side Channel Countermeasures (1)
- Smart factory (1)
- Software Feature Request Detection (1)
- Sparse Matrix Vector Multiplication (1)
- Symmetry detector (1)
- Teilsummenaufteilung (1)
- Text detection (1)
- Text recognition (1)
- Theoretische Informatik (1)
- Token (1)
- Traceability (1)
- Traffic sign detection (1)
- Traffic sign recognition (1)
- Training Model (1)
- Training Optimization (1)
- Two-Ray (1)
- Unity (1)
- VR (1)
- Vector Intrinsics (1)
- Vehicle-to-Infrastructure Communication (1)
- Vehicle-to-Vehicle Com- munication (1)
- Vehicle-to-Vehicle Communication (1)
- WDS (1)
- Watermarking (1)
- WiFi (1)
- antibody deficiency (1)
- autoimmune lymphoproliferative syndrome (1)
- autoinflammatory disease (1)
- bass-shaker (1)
- collaboration (1)
- computer-supported collaborative work (1)
- cuSPARSE (1)
- force sensing (1)
- gaming (1)
- human-centric lighting (1)
- immunodeficiency (1)
- leaning (1)
- micro-benchmarks (1)
- mood (1)
- neuro-cognitive performance (1)
- peripheral vision (1)
- physical activity (1)
- prefrontal cortex (1)
- robots (1)
- run-time adaptation (1)
- rural areas (1)
- sensor fusion (1)
- server processors (1)
- short-term memory (1)
- slip detection (1)
- spectral rendering (1)
- surface textures (1)
- tactile sensing (1)
- territoriality (1)
- thread mapping (1)
- unrolling (1)
- vector units (1)
- vibration (1)
- whole-body interface (1)
- wmSDN (1)
- workday breaks (1)
- workspace awareness (1)
Autonomous mobile robots comprise of several hardware and software components. These components interact with each other continuously in order to achieve autonomity. Due to the complexity of such a task, a monumental responsibility is bestowed upon the developer to make sure that the robot is always operable. Hence, some means of detecting faults should be readily available. In this work, the aforementioned fault-detection system is a robotic black box (RBB) attached to the robot which acquires all the relevant measurements of the system that are needed to achieve a fault-free robot. Due to limited computational and memory resources on-board the RBB, a distributed diagnosis is proposed. That is, the fault diagnosis task (detection and isolation) is shared among an on-board component (the black box) and an off-board component (an external computer). The distribution of the diagnosis task allows for a non-intrusive method of detecting and diagnosing faults, in addition to the ability of remotely diagnosing a robot and potentially issuing a repair command. In addition to decomposing the diagnosis task and allowing remote diagnosability of the robot, another key feature of this work is the addition of expert human knowledge to aid in the fault detection process.
Domestic Robotics
(2016)
SpMV Runtime Improvements with Program Optimization Techniques on Different Abstraction Levels
(2016)
The multiplication of a sparse matrix with a dense vector is a performance critical computational kernel in many applications, especially in natural and engineering sciences. To speed up this operation, many optimization techniques have been developed in the past, mainly focusing on the data layout for the sparse matrix. Strongly related to the data layout is the program code for the multiplication. But even for a fixed data layout with an accommodated kernel, there are several alternatives for program optimizations. This paper discusses a spectrum of program optimization techniques on different abstraction layers for six different sparse matrix data format and kernels. At the one end of the spectrum, compiler options can be used that hide from the programmer all optimizations done by the compiler internally. On the other end of the spectrum, a multiplication kernel can be programmed that use highly sophisticated intrinsics on an assembler level that ask for a programmer with a deep understanding of processor architectures. These special instructions can be used to efficiently utilize hardware features in processors like vector units that have the potential to speed up sparse matrix computations. The paper compares the programming effort and required knowledge level for certain program optimizations in relation to the gained runtime improvements.
With the rising interest in vehicular communication systems many proposals for secure vehicle-to-vehicle commu- nication were made in recent years. Also, several standard- ization activities concerning the security and privacy measures in these communication systems were initiated in Europe and in US. Here, we discuss some limitations for secure vehicle- to-infrastructure communication in the existing standards of the European Telecommunications Standards Institute. Next, a vulnerability analysis for roadside stations on one side and security and privacy requirements for roadside stations on the other side are given. Afterwards, a proposal for a multi-domain public key architecture for intelligent transport systems, which considers the necessities of road infrastructure authorities and vehicle manufacturers, is introduced. The domains of the public key infrastructure are cryptographically linked based on local trust lists. In addition, a crypto agility concept is suggested, which takes adaptation of key length and cryptographic algorithms during PKI operation into account.
A deployment of the Vehicle-to-Vehicle communication technology according to ETSI is in preparation in Europe. Currently, a Public Key Infrastructure policy for Intelligent Transport Systems in Europe is in discussion to enable V2V communication. This policy set aside two classes of keys and certificates for ITS vehicle stations: long term authentication keys and pseudonymous keys and certificates. We show that from our point of view the periodic sent Cooperative Awareness Messages with extensive data have technical limitations and together with the pseudonym concept cause privacy problems.