Suffering from complex sideslip angles, path following control of an underactuated marine vehicle (UMV) becomes significantly challenging and remains unresolved. In this paper, a finite-time observer based guidance and control (FOGC) scheme for path following of an UMV with time-varying and large sideslip angles and unknown external disturbances is proposed. The salient features of the proposed...

This paper proposes a generalized high-order observer for estimating total disturbance of permanent magnet synchronous motors (PMSMs). is dominated by load torque but also includes many other terms such as frictions, viscous force, Eddy and flux pulling forces, noises. Comprehensive experimental results analyses under various scenarios will be presented to find the appropriate order observer. W...

In the first decades of 21 st century, there has been a global trend towards digitisation and mobilisation data from natural history museums research institutions. The development national international aggregator systems, which focused on standards, made it possible to access millions museum specimen records. These records serve as an empirical foundation for across various fields. addition, c...

One of the most important duties of government in public health sector is to provide secured sources for medicines supply. There are some regulations for domestic pharmaceutical industry. In addition, there is a discipline for importing medicine to be ensured about their claimed characteristics. In medicines registration process, MOH (FDO in Iran) assess ‘safety’, ‘quality’ and ‘efficacy’ of me...

The detection and characterization of electrode performance is a key problem lithium-ion batteries. physical properties the electrodes affect charge density during life battery. difficult to monitor because complexity distribution. In this paper, visualized fractional derivative order (FDO) used characterize distribution reveal variations in associated with electrode. Instantaneous discharge da...

Traditional feedback-directed optimization (FDO) uses static instrumentation to collect profiles. This method has shown good application performance gains, but is not commonly used in practice due to the high runtime overhead of profile collection, the tedious dual-compile usage model, and difficulties in generating representative training data sets. In this paper, we show that edge frequency e...

We introduce the flexible approach for determining agents’ orientation on ontology mappings (FDO), which provides a flexible mechanism for agents to decide whether or not they support an argument about a mapping. Whilst this results in agents relaxing some preferences over suitable mappings, it produces a larger consensus of possible mappings due to the generation of a greater number of argumen...

In addition to the previous intensive discussion on “Data Deluge” with respect enormous increase of available research data, 2022 Internet-of-Things conference confirmed that in near future there will be billions if not trillions smart IoT devices a very wide range applications and locations, many them computational capacities. This large number distributed create continuous streams data requir...

FAIR Digital Objects (FDOs) are typed by a well described set of attributes, where attributes key value pairs with key, which refers to syntactic description the value. Often is called also profile. The exact attribute keys obviously crucial for machine actionability on one hand. On other hand an can be way allow human readability used keys. Furthermore it often integrate legacy sets that provi...

Arguments for the FAIR (Findable, Accesible, Inter-operable and Reusable) principles of science have mostly been based on appeals to values. However, work onboarding diverse researchers make efficient effective implementations requires different appeals. In our recent effort transform institution into a University by 2025, here we report experiences Community Data Driven Insights (CDDI) , inter...