Discipline and punish

In August 2019, the Federal Ministry of Justice submitted a draft for a corporate crime act. This draft will end a decade-long debate on the criminal liability of legal persons and profoundly change the criminal prosecution in the area of economic criminal law. The article classifies the legislative project in the current discourse on criminal policy, reports on the content of the draft and gives a critical commentary on individual points

A State Observation Technique for Highly Compressed Source Coding of Autonomous Underwater Vehicle Position

In this paper, a novel technique is presented for using state observers in conjunction with an entropy source encoder to enable highly compressed telemetry of autonomous underwater vehicle (AUV) position vectors. In this work, both the sending vehicle and receiving vehicle or human operator are equipped with a shared real-time simulation of the sender's state based on the prior transmitted positions. Thus, only the innovation between the sender's actual state and the shared state need be sent over the link, such as a very low throughput acoustic modem. The distribution of this innovation can be modeled a priori or assembled adaptively. This distribution is then paired with an arithmetic entropy encoder, producing a very low cost representation of the vehicle's position vector. This system was analyzed on experimental data from the GLINT10 and AGAVE07 expeditions involving two different classes of AUVs performing a diverse number of maneuvers, and implemented on a fielded vehicle in the MBAT12 experiment. Using an adaptive probability distribution in combination with either of two state observer models, greater than 90% compression, relative to a 32-b integer baseline, was achieved.United States. Office of Naval Research (Grant N00014-08-1-0011)United States. Office of Naval Research (Grant N00014-11-1-0097

Model-Based Adaptive Behavior Framework for Optimal Acoustic Communication and Sensing by Marine Robots

In this paper, a hybrid data- and model-based autonomous environmental adaptation framework is presented which allows autonomous underwater vehicles (AUVs) with acoustic sensors to follow a path which optimizes their ability to maintain connectivity with an acoustic contact for optimal sensing or communication. The adaptation framework is implemented within the behavior-based mission-oriented operating suite-interval programming (MOOS-IvP) marine autonomy architecture and uses a new embedded high-fidelity acoustic modeling infrastructure, the generic robotic acoustic model (GRAM), to provide real-time estimates of the acoustic environment under changing environmental and situational scenarios. A set of behaviors that combine adaptation to the current acoustic environment with strategies that extend the decision horizon beyond that of typical behavior-based systems have been developed, implemented, and demonstrated in a series of field experiments and virtual experiments in a MOOS-IvP simulation.United States. Office of Naval Research (Grant N00014-08-1-0011)United States. Office of Naval Research (Grant N00014-08-1-0013)NATO Undersea Research Centre (NURC

Superconvergence of discontinuous Petrov-Galerkin approximations in linear elasticity

Existing a priori convergence results of the discontinuous Petrov-Galerkin method to solve the problem of linear elasticity are improved. Using duality arguments, we show that higher convergence rates for the displacement can be obtained. Post-processing techniques are introduced in order to prove superconvergence and numerical experiments {\color{black} confirm} our theory

Goby-Acomms version 2: extensible marshalling, queuing, and link layer interfacing for acoustic telemetry

We present the Goby-Acomms project version 2 (Goby2) which provides software for communication amongst autonomous marine vehicles over extremely bandwidth-constrained links. Goby2's modular design provides four discrete yet interoperable components: 1) physics- oriented marshalling via the Dynamic Compact Control Language (DCCL); 2) dynamic priority queuing; 3) time division multiple access (TDMA) medium access control (MAC); 4) and an extensible link-layer interface (ModemDriver). Keywords: Communication protocols; autonomous vehicles; marine systems; telemetry; source codin

Unified command and control for heterogeneous marine sensing networks

Successful command and control (C2) of autonomous vehicles poses challenges that are unique to the marine environment, primarily highly restrictive acoustic communications throughput. To address this, the Unified C2 architecture presented here uses a highly compressed short message encoding scheme (Dynamic Compact Control Language or DCCL) to transfer commands and receive vehicle status. DCCL is readily reconfigurable to provide the flexibility needed to change commands on short notice. Furthermore, operation of multiple types of vehicles requires a C2 architecture that is both scalable and flexible to differences among platform hardware and abilities. The Unified C2 architecture uses the MOOS-IvP autonomy system to act as a “backseat driver” of the vehicle. This provides a uniform interface to the control system on all the vehicles. Also, a hierarchical configuration system is used to allow single changes in configuration to propagate to all vehicles in operation. Status data from all vehicles are displayed visually using Google Earth, which also allows a rapid meshing of data from other sources (sensors, automatic identification system, radar, satellites) from within, as well as outside of, the MOOS-IvP architecture. Results are presented throughout from the CCLNET08, SQUINT08, GLINT08, GLINT09, SWAMSI09, and DURIP09 experiments involving robotic marine autonomous surface craft (ASCs) and Bluefin, OceanServer, and NATO Undersea Research Centre (NURC) autonomous underwater vehicles (AUVs).United States. Office of Naval Research (Grant N00014-1-08-1-0013)United States. Office of Naval Research (Grant N00014-1-08-1-0011

Tudásmenedzsment a mobiltávközlésben

A szerző 2004-ben végezte el mindhárom magyar mobiltávközlési szolgáltatónál a tudásmenedzsment helyzetének felmérését. Az eredmények szerint a magyar mobilszolgáltatóknál a tudásmenedzsment fontos szerepet kap az üzleti folyamatok támogatásában, viszont a kezdeményezések nem egységes programként, hanem jórészt önálló projektekként valósulnak meg. A tudásmenedzsment kezdeményezések legfontosabb motiválója egyértelműen a versenyelőny szerzése, a vállalati tudásmegosztás elterjesztése, az elkülönülten dolgozó egységek (akár vállalatcsoport) közti együttműködés támogatása a vállalati tudás védelme által