Design of the software development and verification system (SWDVS) for shuttle NASA study task 35

An overview of the Software Development and Verification System (SWDVS) for the space shuttle is presented. The design considerations, goals, assumptions, and major features of the design are examined. A scenario that shows three persons involved in flight software development using the SWDVS in response to a program change request is developed. The SWDVS is described from the standpoint of different groups of people with different responsibilities in the shuttle program to show the functional requirements that influenced the SWDVS design. The software elements of the SWDVS that satisfy the requirements of the different groups are identified

Evaluating a Model of Team Collaboration via Analysis of Team Communications

Human Factors and Ergonomics Society 51st Annual Meeting—2007The article of record may be found at https://doi.org/10.1177/154193120705100456A model of team collaboration was developed that emphasizes the macro-cognitive processes entailed in collaboration and includes major processes that underlie this type of communication: (1) individual knowledge building, (2) developing knowledge inter-operability, (3) team shared understanding, and (4) developing team consensus. This paper describes research conducted to empirically validate this model. Team communications that transpired during two complex problem solving situations were coded using cognitive process definitions included in the model. Data was analyzed for three teams that conducted a Maritime Interdiction Operation (MIO) and four teams that engaged in air-warfare scenarios. MIO scenarios involve a boarding team that boards a suspect ship to search for contraband cargo (e.g. explosives, machinery) and possible terrorist suspects. Air-warfare scenarios involve identifying air contacts in the combat information center of an Aegis ship. The way the teamsí behavior on the two scenarios maps to the model of team collaboration is discussed.Approved for public release; distribution is unlimited

Targeting the ontology of war:from Clausewitz to Baudrillard

Against a surprising level of agreement between Clausewitz, contemporary military doctrines and critical war studies on an ontology of war as fighting, we suggest that the study of contemporary warfare needs to focus more on war as processing. Through Jean Baudrillard we argue that at least some of what is referred to as ‘war’ is no longer characterised by encounters through fighting. We exemplify our argument by how the repetitive battle-rhythm of military targeting strives for perfect war. What remains is not war as an object in itself, but a reified ‘war’ that obscures the disappearance of that very object. The debate on war contributes to the reification of such a war, as an imperative telling us: ‘we have a concept, you must learn to think through it’

Privacy attacks for automatic speech recognition acoustic models in a federated learning framework

This paper investigates methods to effectively retrieve speaker information from the personalized speaker adapted neural network acoustic models (AMs) in automatic speech recognition (ASR). This problem is especially important in the context of federated learning of ASR acoustic models where a global model is learnt on the server based on the updates received from multiple clients. We propose an approach to analyze information in neural network AMs based on a neural network footprint on the so-called Indicator dataset. Using this method, we develop two attack models that aim to infer speaker identity from the updated personalized models without access to the actual users' speech data. Experiments on the TED-LIUM 3 corpus demonstrate that the proposed approaches are very effective and can provide equal error rate (EER) of 1-2%.Comment: Submitted to ICASSP 202