Preface

Overview of the 18th International Scientific and Technical Conference Rapid Solidification Materials and Coatings A A Lozovan1 and D K Kostrin2 1Department of Materials and Materials Technology, Moscow Aviation Institute (National Research University) “MAI”, 121552, Orshanskaya, 3, Moscow, Russia 2Department of Electronic Instruments and Devices, Saint Petersburg Electrotechnical University “LETI”, 197376, Professora Popova, 5, Saint Petersburg, Russia E-mail: [email protected] Abstract. In this preface the main results of the 18th International Scientific and Technical Conference Rapid Solidification Materials and Coatings that was held on 19–20 October 2021 in Moscow, Russia are discussed. From 19 to 20 October 2021, the 18th International Scientific and Technical Conference Rapid Solidification Materials and Coatings (RSMC–2021) was held at the Moscow Aviation Institute (National Research University). Despite the difficulties associated with the coronavirus pandemic, more than 100 specialists from leading universities, the Russian Academy of Sciences and Russian enterprises, as well as scientists from Ukraine and Belarus, took part in the Conference. For the successful holding of the Conference in a pandemic, all the necessary measures were taken to ensure the implementation of sanitary rules and standards for the protection of Conference participants. At the Conference the results, which were obtained in the last year after the previous Conference, of the theoretical and experimental studies on the physics of condensed matter, low-temperature plasma physics, electronic and ion-plasma surface modification, physical methods of film deposition and other studies obtained over the last year after the previous Conference. The main objects of these studies were superficiality and superficial phenomena. Therefore, to the development and improvement of methods of surface modification and coatings deposition, as well as methods of their research and development of modern surface treatment equipment was paid the greatest attention at the Conference. During the Conference more than 70 reports were presented, which were heard in the following, traditional Conference sections (figure 1): • section 1 – Rapid solidification materials; • section 2 – Methods of coating application and research; • section 3 – Laser, electron-beam and ion-plasma methods of surface modification; • section 4 – Composite materials and permanent joints; • section 5 – Works of young scientists. The Conference was opened by Alexander Vladimirovich Bespalov, Co-Chairman of the Director of the Department of Materials Science and Materials Technology of the Moscow Aviation Institute (National Research University), who emphasized the importance of developing research in the field of physical and physicochemical methods of obtaining and processing new materials and coatings for the aerospace industry. He also noted the achievements of the Institute’s scientists in the field of laser coating and fast solidification materials. List of Organizing Committee, Program Committee, Photos are available in this pdf.

Characterizing slope regions

This paper provides a theoretical characterization of monotonically connected image surface regions, called slope regions. The characterization is given by several topological properties described in terms of critical points relative to the region. We formally prove the necessary and sufficient conditions that a region needs to satisfy to be a slope region. We also provide a prototype of slope regions which is general and contains, as particular cases, the prototypes studied and published in previous conference papers.

From parametric trace slicing to rule systems

Parametric runtime verification is the process of verifying properties of execution traces of (data carrying) events produced by a running system. This paper continues our work exploring the relationship between specification techniques for parametric runtime verification. Here we consider the correspondence between trace-slicing automata-based approaches and rule systems. The main contribution is a translation from quantified automata to rule systems, which has been implemented in Scala. This then allows us to highlight the key differences in how the two formalisms handle data, an important step in our wider effort to understand the correspondence between different specification languages for parametric runtime verification. This paper extends a previous conference version of this paper with further examples, a proof of correctness, and an optimisation based on a notion of redundancy observed during the development of the translation.

Beyond the conference: Singing our SSONG

The International Society for the Scholarship of Teaching and Learning (ISSOTL) annual conference presents an exciting opportunity to meet with international colleagues from diverse backgrounds and situations to commune on our common interest in the Scholarship of Teaching and Learning (SoTL). As with every ISSOTL conference, the enthusiasm for SoTL was palpable in Los Angeles in 2016. Rich discussions took place, networks were formed, and promises to keep in touch were made. Unfortunately, previous conference experiences have taught us that these good intentions often fall short once the conference bubble has burst and the reality of daily life sets in once more. In an attempt to circumvent this phenomenon, we—seven colleagues from three different countries—embarked on a research project that enabled us to maintain the relationships and fruitful discussions we had initiated at ISSOTL16. We established Small, Significant Online Network Group, or SSONG, inspired by a conference workshop on small significant networks. As a group, we met regularly online using Adobe Connect© and engaged in significant conversations around SoTL that were private, trustful, and intellectually intriguing. This article reflects our experiences in establishing and maintaining the group. We discuss how the group was formed; its alignment with the concept of small, significant networks; and the benefits and challenges we encountered. Four key principles of the group that have emerged will also be discussed in detail, enabling readers to consider how they could adapt the concept for their own purposes.

Retraction Note: Land subsidence in Beijing from 2017-2018 revealed by Sentinel-1A TOPS time series interferometry

The Guest Editors and the Publisher have retracted this article. This paper has been formally retracted from publication by the authors on ethical grounds. Actually, one of the authors (Mr. Peilian Ran) neglected that a similar paper was already presented and published in a previous conference proceedings. The authors are responsible for this mistake and apologise for it. Request approved by the proceedings Editor and the Publisher on February 2, 2021.

Commuting Double Sugeno Integrals

In decision problems involving two dimensions (like several agents in uncertainty) the properties of expected utility ensure that the result of a two-stepped procedure evaluation does not depend on the order with which the aggregations of local evaluations are performed (e.g., agents first, uncertainty next, or the converse). We say that the aggregations on each dimension commute. In a previous conference paper, Ben Amor, Essghaier and Fargier have shown that this property holds when using pessimistic possibilistic integrals on each dimension, or optimistic ones, while it fails when using a pessimistic possibilistic integral on one dimension and an optimistic one on the other. This paper studies and completely solves this problem when more general Sugeno integrals are used in place of possibilistic integrals, leading to double Sugeno integrals. The results show that there are capacities other than possibility and necessity measures that ensure commutation of Sugeno integrals. Moreover, the relationship between two-dimensional capacities and the commutation property for their projections is investigated.

"Having a Blast" - Assessment of Compartment Overpressure following an Arc Fault

The assessment of arc flash incident energy and the mitigation of the associated hazards in naval platform applications is now well defined and understood, with many previous conference papers having been presented, supported by published guidance notes and standards, such as IEEE1584, NFPA 70E, BR2000(52)-1 and Lloyd’s Register Arc Flash guidance document. However, the assessment of the resultant effects of any arc blast on compartment overpressure and the mitigation of the associated hazards to ships structure and ship’s staff are not yet well defined or understood. Literature indicated that considerable damage could be caused to brick built substations and concern was raised about the possible impact on ship structure and personnel safety. With the above in mind, BAE Systems Naval Ships has developed a modelling tool for assessing the effects of an arc blast on a switchboard room compartment and any personnel that may be within the blast boundary. The toolset uses a spatial representation of the switchboard room being assessed, along with the electrical system fault level data, calculated through the normal power system modelling activities, to calculate the pressure rise resulting from an arcing fault. The developed modelling tool allows engineers the ability to perform calculations of arc blast pressure rise for the purpose of identifying the degree of hazard due to pressure and identifying applicable mitigation activities.

Perception of Key Barriers in Using and Publishing Open Data

TThere is a growing body of literature recognizing the benefits of Open Data. However, many potential data providers are unwilling to publish their data and at the same time, data users are often faced with difficulties when attempting to use Open Data in practice. Despite various barriers in using and publishing Open Data still being present, studies which systematically collect and assess these barriers are rare. Based on this observation we present a review on prior literature on barriers and the results of an empirical study aimed at assessing both the users’ and publishers’ views on obstacles regarding Open Data adoption. We collected data with an online survey in Austria and internationally. Using a sample of 183 participants, we draw conclusions about the relative importance of the barriers reported in the literature. In comparison to a previous conference paper presented at the conference for E-Democracy and Open Government, this article includes new additional data from participants outside Austria, reports new analyses, and substantially extends the discussion of results and of possible strategies for the mitigation of Open Data barriers.

Modeling event attendees’ experiences during customer-customer encounters (CCEs)

Purpose The purpose of this study is to explore how event attendees experience interactive encounters in the most competitive segment of the business sector of events – conferences. Design/methodology/approach A total of 26 in-depth personal interviews was conducted with previous conference attendees. Line-by-line open coding, axial coding and selective coding are performed. Findings This study develops a framework for experiences during customer–customer encounters (CCEs), which presents a dual motivational structure that explains one’s participation in CCEs, a classification of typical CCEs, four processes that one experiences during CCEs and three levels of situational factors that influence experiences during CCEs. Originality/value This study makes one of the first attempts to propose a multidimensional conceptualization of CCE experiences using an attendee perspective. Beyond the utilitarian and social benefits, this study suggests that it is important for event studies to explore the psychological and emotional meanings of CCE experiences through an experiential lens and that the competitive battleground in event industry should lie in staging memorable experiences during CCEs.

2 Indicator-Based Multiobjective Search

In multiobjective optimization, set-based performance indicators are commonly used to assess the quality of a Pareto front approximation. Based on the scalarization obtained by these indicators, a performance comparison of multiobjective optimization algorithms becomes possible. The [Formula: see text] and the hypervolume (HV) indicator represent two recommended approaches which have shown a correlated behavior in recent empirical studies. Whereas the HV indicator has been comprehensively analyzed in the last years, almost no studies on the [Formula: see text] indicator exist. In this extended version of our previous conference paper, we thus perform a comprehensive investigation of the properties of the [Formula: see text] indicator in a theoretical and empirical way. The influence of the number and distribution of the weight vectors on the optimal distribution of [Formula: see text] solutions is analyzed. Based on a comparative analysis, specific characteristics and differences of the [Formula: see text] and HV indicator are presented. Furthermore, the [Formula: see text] indicator is integrated into an indicator-based steady-state evolutionary multiobjective optimization algorithm (EMOA). It is shown that the so-called [Formula: see text]-EMOA can accurately approximate the optimal distribution of [Formula: see text] solutions regarding [Formula: see text].