Introduction of New Anti-dumping Algorithm in EU under WTO Law System Based on Particle Swarm Optimization

Objectives: Anti dumping new algorithm is an innovative ability based on the WTO legal system, which has made an important contribution to the economic development of the EU system. Methods: At present, the operation mode of new antidumping algorithm has some defects, such as structure confusion and incomplete system implementation, which affects the development progress of EU economic growth. Results: Based on the above problems, in this paper, particle swarm algorithm is introduced, based on the optimization analysis of the website structure of the new antidumping algorithm, through the independent screening analysis of particle swarm optimization, combining the WTO economy with the EU status theory, Conclusion: the paper obtains the optimized anti-dumping innovation scheme on the basis of particle swarm algorithm analysis, and finally passes the input test. The feasibility of the scheme is established.

“Bodiliness” of thought in N.F. Fedorov’s system of views on language

The article discusses the system of N.F. Fedorov's views on language, as it was immanently formulated in his various articles and notes, laconic, aphoristic and fragmentary. Architecture and scale of Fedorov's ideas along with fundamental incompleteness as a huge project open to the future are considered in the article. An important dominant of Fedorov's thought is ‘bodiliness’, on the one hand, opposed to abstraction that destroys a phenomenon, including reality of human speech, and, on the other, hypostatizing thought and language as organic being. The dominant is essential for understanding culture at the turn of the XIX–XX centuries and the first half of the XX century (for instance, to understand Vladimir Solovyov’s views on the nature of art, the work of Andrei Platonov). ‘Bodiliness’, corporality, materiality of language and thought, according to Fedorov, is the guarantee of immortality of material life. This is the explanation of Fedorov's special attraction to ideographic writing, what embodies thought in matter as “much in little”. Fedorov’s thinking is in a special way consonant with the search for a new style of thinking in Western philosophy at the turn of the 20th century. Fedorov returns to humanitarian knowledge bodily, material; humanitarian knowledge lacks this in order to break away from the surface and move on to the things themselves, which have preserved in their original being the seeds of immortality. The article emphasizes that thought and its linguistic expression are a symbolic designation of the common cause of resurrection in Fedorov’s system, and in this it is material and has concrete outlines. The organic being of thought, belonging to life itself, has no authorship, has no place in a specific work that legitimizes it. The main conclusion of the article is about the central position of the concepts of corporality, ‘bodiliness’ in Fedorov’s project, that at the same time represent, although an integral, but, like conceptual relations in language, incomplete system, where each thought appears as a fragment, a fragment of the world that needs to be recreated.

Synthesis Of Robust Control Systems With Dynamic Actuators And Sensors Using A Static Output Feedback Method

In this paper, we propose a strategy for the robust stabilization of uncertain linear time-invariant(LTI) systems considering sensors and actuators whose dynamics cannot be neglected. The control problem isaddressed by defining an augmented system encompassing the plant, sensor and actuator dynamics. The centralidea of the proposed method lies in the fact that the actual plant states, measured by sensors, are not available forfeedback, and thus, the problem can be regarded as a static output feedback (SOF) control design. Then, SOFgain matrices are computed through a two-stage method, based on linear matrix inequalities (LMIs). Intendingto illustrate the efficacy and explore the main features of the proposed technique, some computational examplesare presented in an application of the method for the design of a robust controller for the classic benchmarkproblem of the two-mass-spring problem. The examples cover the case of asymptotic stabilization of known anduncertain system model, in addition to decay rate inclusion and incomplete system state information.

The Whistleblower Protection Directive (2019/1937): A Satisfactory but Incomplete System

On 23 October 2019 the European Union enacted the Whistleblower Protection Directive. The directive introduces important common standards of protection for whistleblowers reporting on breaches of EU law and significantly increases the level of protection afforded to whistleblowers in many EU Member States. Many of the features of the directive go further than pre-existing national whistleblower protection regimes, particularly in relation to the categories of persons who may benefit from the protections under the directive and in terms of the flexibility of the prescribed reporting procedures. Nevertheless, the directive's effectiveness may be limited by certain grey-areas and missed opportunities in the final text of the instrument.

Review of Methodological Choices in LCA-Based Textile and Apparel Rating Tools: Key Issues and Recommendations Relating to Assessment of Fabrics Made From Natural Fibre Types

Life cycle assessment (LCA) is a key tool for determining environmental impacts for textiles and apparel and is the basis for the publicly available Higg Material Sustainability Index (MSI) developed by the Sustainable Apparel Coalition (SAC). This paper reviews and evaluates the Higg MSI with respect to rating of fabrics made from natural fibre types, with the aim of providing a constructive analysis of methodological issues identified by comparison with the International Standards and LCA guidelines. The major issues identified by the review were: (1) lack of sufficient guidance for comparative analysis and public disclosure; (2) incomplete system boundaries and the choice of functional unit; (3) the choice of attributional LCA methods and variable methods applied for handling multi-functionality; (4) use of generalised data and small datasets, without reported sensitivity or uncertainty; (5) exclusion of important impact categories, choice of LCIA methods and lack of coverage of non-LCA assessed issues; and (6) the choice of the weighting and normalisation approach. This review found that the provision of, and adherence to the appropriate standards and best practice in LCA would rectify most of these issues. To achieve the laudable aims of the Higg MSI, further development and refinement is needed to ensure robust information is provided to improve the sustainability of textiles.

The Closest Incomplete Distributed Information System for Medical Query Answering System

The common issue for medical information systems are missing values. Generally, gaps are filled by statistically suggested values or rule-based methods. Another approach is to use the knowledge of information systems working under the same ontology. The medical incomplete system receives a query unable to answer, because of some unknown patient attributes. So, it has to communicate with other medical systems. The result of the collaboration is collective knowledgebase. In this paper, we propose a measure supporting choice of closest pair of systems. It determines the distance between the two systems. We use ERID algorithm to extract rules from incomplete, distributed information systems. Each constructed rule has confidence and support. They allowed to determine the distance between a pair of medical information systems. The proposed solution was verified on the basis of several “manipulated” medical information systems. Next, the solution was verified in systems with randomly selected data. The satisfying results were obtained and based on them, the proposed measure can be successfully used in medical systems to support the work of doctors and the treatment of patients.

Intelligent Control of Vehicles' Number Plates on Toll Gates in Developing Nations

Developing nations have implemented toll gates in their countries major trunk highways as a move towards the improvement in fiscal levels. However, several problems have arisen in the toll collection system that has been implemented. The system exists as an incomplete system in comparison to internationally acclaimed systems and methods. This chapter therefore seeks to introduce an automated toll collection system which has enhanced security features and intelligent vehicle classification methods. Utilising machine intelligence and computer vision methods in the system, the researchers intend to develop the automated and intelligent toll collection system for developing nation's tollgates. The mechatronic system will combat security loopholes and enhance the efficiency of the toll collection process.

Intelligent Control of Vehicles' Number Plates on Toll Gates in Developing Nations

Developing nations have implemented toll gates in their countries major trunk highways as a move towards the improvement in fiscal levels. However, several problems have arisen in the toll collection system that has been implemented. The system exists as an incomplete system in comparison to internationally acclaimed systems and methods. This chapter therefore seeks to introduce an automated toll collection system which has enhanced security features and intelligent vehicle classification methods. Utilising machine intelligence and computer vision methods in the system, the researchers intend to develop the automated and intelligent toll collection system for developing nation's tollgates. The mechatronic system will combat security loopholes and enhance the efficiency of the toll collection process.

Intelligent Control of Vehicles' Number Plates on Toll Gates in Developing Nations

Developing nations have implemented toll gates in their countries major trunk highways as a move towards the improvement in fiscal levels. However, several problems have arisen in the toll collection system that has been implemented. The system exists as an incomplete system in comparison to internationally acclaimed systems and methods. This chapter therefore seeks to introduce an automated toll collection system which has enhanced security features and intelligent vehicle classification methods. Utilising machine intelligence and computer vision methods in the system, the researchers intend to develop the automated and intelligent toll collection system for developing nation's tollgates. The mechatronic system will combat security loopholes and enhance the efficiency of the toll collection process.