Aircraft parameter identification for application within a fault-tolerant flight control system

A parameter identification study was conducted to identify a detailed aircraft mathematical model for application within a fault-tolerant flight control system that aims to detect, identify, and accommodate for sensor and actuator failures. Specifically, a mathematical model was identified under nominal conditions for two aircraft platforms, and a model was developed for one platform under actuator failure conditions. These models are to be used in flight control law design and to account for actuator failures on the primary control surfaces for one of the research platforms. In order to accurately model the aircraft behavior following a control surface failure, the effects of an individual surface on the aircraft dynamics was estimated. Since an individual control surface deflection---for example in the event of a locked actuator---causes a coupling between the longitudinal and lateral-directional dynamics, additional terms were identified in the state space and stability and control derivative mathematical models. These models were derived from measured flight data acquired from pilot and automated computer-injected maneuvers under both nominal and failure conditions. From this analysis, the stability and control derivatives were extracted to determine the aerodynamic forces and moments on each aircraft. These aerodynamics were next introduced into a simulation environment to validate the accuracy of the identified mathematical models. A Data Compendium (DATCOM) -- based analysis was conducted in order to provide a means of comparison of the models obtained through the parameter identification study and to provide constraints on parameter optimization. Finally, a confidence interval analysis was conducted to determine the reliability of the estimated values. Several simulation studies were conducted to validate the accuracy of the models for each research platform, focusing on both nominal and primary control surface failure conditions where applicable. The model outputs were compared to the measured flight data from the two respective research platforms to validate the accuracy of the estimated parameters

PENINGKATAN HASIL BELAJAR SISWA MATERI PENGUKURAN WAKTU KELAS 1 SDN LOWOKWARU 02 KOTA MALANG

This Classroom Action Research (CAR) aims to determine the increase in learning outcomes of first grade students in the mathematics content of time measurement. The research was conducted at SD Negeri Lowokwaru 02 Malang City. The research used Kurt Levin model which has 4 stages : (1) planning, including problem identification activities, problem formulation, and analysis of the causes of the problem; (2) acting, at this stage improvements are made to the problems encountered; (3) Observing, activities at this stage are data collection that is carried out by observing the extent to which the effect of the action has reached the target; (4) reflecting, the last stage in this model contains activities to review critically (reflectively) about changes that occur in (i) students, (ii) classroom atmosphere, (iii) and educators. The research subjects were all first students at SD Negeri Lowokwaru 02 Malang City, there is 28 students and domiciled in Malang City. Data sources in this study are divided into two, namely primary data sources (students) and secondary data sources (educators and documents). The results of the implementation of this research are knowing the learning outcomes of students before using the Problem Based Learning learning model in the first grade time measurement material, applying the Problem Based Learning learning model to first grade time measurement material, and improving student learning outcomes through the application of the Problem Based Learning learning model on time measurement material in first grade students SD Negeri Lowokwaru 02 Malang Cit

PENINGKATAN HASIL BELAJAR SISWA MATERI PENGUKURAN WAKTU KELAS 1 SDN LOWOKWARU 02 KOTA MALANG

This Classroom Action Research (CAR) aims to determine the increase in learning outcomes of first grade students in the mathematics content of time measurement. The research was conducted at SD Negeri Lowokwaru 02 Malang City. The research used Kurt Levin model which has 4 stages : (1) planning, including problem identification activities, problem formulation, and analysis of the causes of the problem; (2) acting, at this stage improvements are made to the problems encountered; (3) Observing, activities at this stage are data collection that is carried out by observing the extent to which the effect of the action has reached the target; (4) reflecting, the last stage in this model contains activities to review critically (reflectively) about changes that occur in (i) students, (ii) classroom atmosphere, (iii) and educators. The research subjects were all first students at SD Negeri Lowokwaru 02 Malang City, there is 28 students and domiciled in Malang City. Data sources in this study are divided into two, namely primary data sources (students) and secondary data sources (educators and documents). The results of the implementation of this research are knowing the learning outcomes of students before using the Problem Based Learning learning model in the first grade time measurement material, applying the Problem Based Learning learning model to first grade time measurement material, and improving student learning outcomes through the application of the Problem Based Learning learning model on time measurement material in first grade students SD Negeri Lowokwaru 02 Malang Cit

Run-time risk management in adaptive ICT systems

We will present results of the SERSCIS project related to risk management and mitigation strategies in adaptive multi-stakeholder ICT systems. The SERSCIS approach involves using semantic threat models to support automated design-time threat identification and mitigation analysis. The focus of this paper is the use of these models at run-time for automated threat detection and diagnosis. This is based on a combination of semantic reasoning and Bayesian inference applied to run-time system monitoring data. The resulting dynamic risk management approach is compared to a conventional ISO 27000 type approach, and validation test results presented from an Airport Collaborative Decision Making (A-CDM) scenario involving data exchange between multiple airport service providers

Identification of heat exchange process in the evaporators of absorption refrigerating units under conditions of uncertainty

Проведено аналіз функціонування випарників абсорбційно-холодильних установок блоку вторинної конденсації типового для України агрегату синтезу аміаку. Обґрунтована необхідність мінімізації температури вторинної конденсації за рахунок створення автоматизованої адаптивної системи оптимального програмного управління. Встановлені рівняння для чисельної оцінки невизначеності теплового навантаження випарника та коефіцієнту теплопередачі. Розроблено алгоритмічне забезпечення щодо розв’язання задач ідентифікації та створення математичної моделі. Визначена технічна структура автоматизованої системи для їх реалізації

Integrating model checking with HiP-HOPS in model-based safety analysis

The ability to perform an effective and robust safety analysis on the design of modern safety–critical systems is crucial. Model-based safety analysis (MBSA) has been introduced in recent years to support the assessment of complex system design by focusing on the system model as the central artefact, and by automating the synthesis and analysis of failure-extended models. Model checking and failure logic synthesis and analysis (FLSA) are two prominent MBSA paradigms. Extensive research has placed emphasis on the development of these techniques, but discussion on their integration remains limited. In this paper, we propose a technique in which model checking and Hierarchically Performed Hazard Origin and Propagation Studies (HiP-HOPS) – an advanced FLSA technique – can be applied synergistically with benefit for the MBSA process. The application of the technique is illustrated through an example of a brake-by-wire system

Screening for familial hypercholesterolaemia in primary care: Time for general practice to play its part

Fifty per cent of first-degree relatives of index cases with familial hypercholesterolemia (FH) inherit the disorder. Despite cascade screening being the most cost-effective method for detecting new cases, only a minority of individuals with FH are currently identified. Primary care is a key target area to increase identification of new index cases and initiate cascade screening, thereby finding close relatives of all probands. Increasing public and health professional awareness about FH is essential. In the United Kingdom and in Australia, most of the population are reviewed by a General Practitioner (GP) at least once over a three-year period, offering opportunities to check for FH as part of routine clinical consultations. Such opportunistic approaches can be supplemented by systematically searching electronic health records with information technology tools that identify high risk patients. GPs can help investigate and implement results of this data retrieval. Current evidence suggests that early detection of FH and cascade testing meet most of the criteria for a worthwhile screening program. Among heterozygous patients the long latent period before the expected onset of coronary artery disease provides an opportunity for initiating effective drug and lifestyle changes. The greatest challenge for primary care is to implement an efficacious model of care that incorporates sustainable identification and management pathways

Blockwise Subspace Identification for Active Noise Control

In this paper, a subspace identification solution is provided for active noise control (ANC) problems. The solution is related to so-called block updating methods, where instead of updating the (feedforward) controller on a sample by sample base, it is updated each time based on a block of N samples. The use of the subspace identification based ANC methods enables non-iterative derivation and updating of MIMO compact state space models for the controller. The robustness property of subspace identification methods forms the basis of an accurate model updating mechanism, using small size data batches. The design of a feedforward controller via the proposed approach is illustrated for an acoustic duct benchmark problem, supplied by TNO Institute of Applied Physics (TNO-TPD), the Netherlands. We also show how to cope with intrinsic feedback. A comparison study with various ANC schemes, such as block filtered-U, demonstrates the increased robustness of a subspace derived controlle

Population Health Solutions for Assessing Cognitive Impairment in Geriatric Patients.

In December 2017, the National Academy of Neuropsychology convened an interorganizational Summit on Population Health Solutions for Assessing Cognitive Impairment in Geriatric Patients in Denver, Colorado. The Summit brought together representatives of a broad range of stakeholders invested in the care of older adults to focus on the topic of cognitive health and aging. Summit participants specifically examined questions of who should be screened for cognitive impairment and how they should be screened in medical settings. This is important in the context of an acute illness given that the presence of cognitive impairment can have significant implications for care and for the management of concomitant diseases as well as pose a major risk factor for dementia. Participants arrived at general principles to guide future screening approaches in medical populations and identified knowledge gaps to direct future research. Key learning points of the summit included: recognizing the importance of educating patients and healthcare providers about the value of assessing current and baseline cognition;emphasizing that any screening tool must be appropriately normalized and validated in the population in which it is used to obtain accurate information, including considerations of language, cultural factors, and education; andrecognizing the great potential, with appropriate caveats, of electronic health records to augment cognitive screening and tracking of changes in cognitive health over time