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This concise book provides a survival toolkit for efficient, large-scale software development. Discussing a multi-contextual research framework that aims to harness human-related factors in order to improve flexibility, it includes a carefully selected blend of models, methods, practices, and case studies. To investigate mission-critical communication aspects in system engineering, it also examines diverse, i.e. cross-cultural and multinational, environments.
This book helps students better organize their knowledge bases, and presents conceptual frameworks, handy practices and case-based examples of agile development in diverse environments. Together with the authors’ previous books, "Crisis Management for Software Development and Knowledge Transfer" (2016) and "Managing Software Crisis: A Smart Way to Enterprise Agility" (2018), it constitutes a comprehensive reference resource that adds value to this book.
This article describes the issues of analysis and assessment of the human factor for predicting the violation committed by the locomotive driver when driving the electric rolling stock. An intelligent system overview for assessing the likelihood of a violation by a locomotive driver is given. Such a system can generate recommendations depending on previously committed violations. One of the tasks is to reduce the risk of locomotive safety devices malfunctions, which are part of the locomotive electrical equipment. The solution to the problem of predicting the occurrence of possible violations is solved using tools and machine learning algorithms. A model has been built that generates recommendations for the driver based on information about previously committed violations and several static characteristics of the locomotive driver.
We considered basic mechanisms of atmospheric particle acceleration and estimated the escape rates of ionospheric ions (H+ and O+) during the geomagnetic field reversal. It is assumed that during the reversal the Earth's magnetic field deviates from the current dipole configuration, and the quadrupole component dominates. The standoff distance of the quadrupole magnetosphere is about of 3 Earth's radii and therefore a magnetic shielding protects the atmosphere from sputtering and ion pickup but not from the polar and auroral winds.
Currently, there is an extensive set of bankruptcy prediction models, but almost all of them are classification based, i.e., they allow to estimate the posterior probability that a particular firm will fail, given its financial characteristics. The expected time to failure is not considered explicitly. On the other hand, there is a survival analysis that deals with the time of the occurrence of the event of interest (while this event may not occur during observation). However, despite its popularity in the medical and technical sciences, survival analysis is relatively rarely used in predicting financial failure. Even when it is applied, most authors use the simplest form of a model. The goal of our work is to evaluate the applicability of survival analysis to bankruptcy prediction. We compare a few state-of-art statistical and machine learning models using a real dataset. Our findings confirm that survival analysis allows (1) to extract from given data valuable information regarding the dynamics of risks and (2) to estimate the impact of features.
The present increase of attention toward blockchain-based systems is currently reaching a tipping point with the corporate focus shifting from exploring the technology potential to creating Distributed Ledger Technology (DLT)-based systems. In light of a significant number of already existing blockchain applications driven by the Internet of Things (IoT) evolution, the developers are still facing a lack of tools and instruments for appropriate and efficient performance evaluation and behavior observation of different blockchain architectures. This paper aims at providing a systematic review of current blockchain evaluation approaches and at identifying the corresponding utilization challenges and limitations. First, we outline the main metrics related to the blockchain evaluation. Second, we propose the blockchain modeling and analysis classification based on the critical literature review. Third, we extend the review with publicly accessible industrial tools. Next, we analyze the selected results for each of the proposed classes and outline the corresponding limitations. Finally, we identify current challenges of the blockchain analysis from the system evaluation perspective, as well as provide future perspectives.
This paper summarizes practices of customer- driven services applied in the leading Russian bank to avoid the impact of financial sanctions (2014–2019). We show how economic sanctions and strict national policies triggered this bank to increase flexibility in customer care to attract more capital from their existing clients. The project comprised three stages: (1) to analyse requirements and to develop ‘‘as-is’’ state of processes; (2) to analyse best practices and to improve processes under the scope of flexibility and customer orientation; (3) to implement the new vision in ‘‘to-be’’ state and final verification. At the third research stage to assess the results of processes improvement in the bank within a year we have applied a set of methods based on data envelopment analysis which provides a multidimensional understanding of processes and new scopes of customer’s value profiles. We have found that process reengineering result could give the contribution already at the first month of implementation and argue the findings could be used to introduce flexible data-driven customer care and improve customer-related processes in organisations worldwide.
Highlight generation and subsequent video production processes are
expensive when it is done by humans. The paper shows how the process can be
automated. It defines the highlight generation problem, suggests and discusses five
different approaches for solving this problem. Statistics-based approach is discussed
separately in deep detail along with algorithm implementation elements.Web-based
highlight generation and video production service requirements and architecture are
identified and discussed, respectively.
This work presents a novel approach to the design of a decision-making system for the cluster-based optimization of an evacuation process using a Parallel bi-objective Real-Coded Genetic Algorithm (P-RCGA). The algorithm is based on the dynamic interaction of distributed processes with individual characteristics that exchange the best potential decisions among themselves through a global population. Such an approach allows the HyperVolume performance metric (HV metric) as reflected in the quality of the subset of the Pareto optimal solutions to be improved. The results of P-RCGA were compared with other well-known multi-objective genetic algorithms (e.g., MOEA, NSGA-II, SPEA2). Moreover, P-RCGA was aggregated with the developed simulation of the behavior of human agent-rescuers in emergency through the objective functions to optimize the main parameters of the evacuation process.
We propose an efficient algorithm based on boundary operator equations
for the numerical simulation of time-dependent waves in 3D. The algorithm employs
the method of difference potentials combined with the (strong) Huygens’ principle
(lacunae of the solution). It can handle nonconforming boundaries on regular structured
grids with no loss of accuracy and offers sublinear computational complexity.
In this paper we propose an approach for compact storage of big graphs. We
propose the preprocessing algorithms of a certain type of graphs which can
signi cantly increase the data density on the disc and increase performance
of fundamental operations with graphs.
This paper presents a correlation method for processing data on end devices and reducing
the amount of data transmitted over the network. Instead of expensive and complex network
devices, developers can use cheap and proven low-speed Internet of Things (ZigBee, NB IoT,
BLE) solutions for data transfer. The novelty lies in one of the features of this approach: the use
of components for analysis, rather than a complete copy of the signals, as well as processing
directly on the sensor. The advantage of this approach allows you to reduce the number of
operations and complexity of implementation, in contrast to other methods focused on the
cloud computing paradigm. We provide results for correlation values and the number of logical
elements (LE) when implemented on the FPGA, depending on the number of elements in the
correlator. This allows to maintain a balance between the required calculation accuracy and
spent hardware resources, as well as to simplify the end device.
The rapid development of information technologies and their widespread use in various sectors of the economy, including transportation, have led to a massive growth in data flows. However, the paradox of our time is that this data is not used to its full potential to provide companies with powerful impetus for their development. This is especially true at the strategic level, where company executives still mostly make decisions without relying on the recommendations of business intelligence systems. In the management of road transport, this phenomenon can be attributed to the fragmentation of data sources and the vague understanding of the relationships between them. This is also partially due to the diversity in opinions in the expert community on the efficiency of the transport processes. Thus, it is obvious that, without deciding on how to measure efficiency, it is hard to say where the data for calculations should be acquired from and what should be the architecture of a decision support system. Note that the diversity of data sources in the digital age creates prerequisites for various metrics that highlight different aspects of the transportation process.
Pharmaceutical market integration is highly dependent on digital technologies
in general and the Internet in particular. The work aims are to study the
available software for creating Electronic common technical documents and the
possibility of its application on the Eurasian Economic Unionmarket.To obtain information,
the surveywas performed based on employees of pharmaceutical companies,
which were interviewed to identify the software they are using or plan to use. Based
on the obtained results, a list of preferred software was compiled. It contains 9 software
products. As part of the second phase of the study, a survey of developers
of designated software solutions was conducted. Results showed that for pharmaceutical
companies operating in the Eurasian Economic Union region, the issue of
software readiness for working with the requirements of domestic regulators is of
particular importance. Most foreign software products can be localized only after
significant modifications. Domestic software solutions are just beginning to appear
and in some cases are highly specialized. For example, programs for planning and
meeting regulatory deadlines in the market are represented by single products.
This book gathers the best papers presented at the first conference held by the Russian chapter of the Association for Information Systems (AIS). It shares the latest insights into various aspects of the digitalization of the economy and the consequences of transformation in public administration, business and public life. Integrating a broad range of analytical perspectives, including economic, social and, technological, this interdisciplinary book is particularly relevant for scientists, digital technology users, companies and public institutions.
We investigate the evolutionary model with recombination and random switches in the fitness function due to change in a special gene. The dynamical behaviour of the fitness landscape induced by the specific mutations is closely related to the mutator phenomenon, which, together with recombination, plays an important role in modern evolutionary studies. It is of great interest to develop classical quasispecies models towards better compliance with the observation. However, these properties significantly increase the complexity of the mathematical models. In this paper, we consider symmetric fitness landscapes for several different environments, using the Hamilton-Jacobi equation (HJE) method to solve the system of equations at a large genome length limit. The mean fitness and surplus are calculated explicitly for the steady-state, and the relevance of the analytical results is supported by numerical simulation. We consider the most general case of two landscapes with any values of mutation and recombination rates (three independent parameters). The exact solution of evolutionary dynamics is done via a solution of a fourth-order algebraic equation. For the more straightforward case with two independent parameters, we derive the solution using a quadratic algebraic equation. For the simplest case, when there are two landscapes with the same mutation and recombination rates, we derive some effective fitness landscape, mapping the model with recombination to the Crow-Kimura model.
The effectiveness of the research results implementation is one of the
main indicators that must be taken into account in the allocation of budget funds
for research. The requirement of efficiency of spending budget funds allocated for
research works leads to the necessity for continuous improvement of the methodological
apparatus of decision support on the allocation of funds, including considering
the efficiency of the implementation of previously obtained research results of each
certain Research Institution. With the development of information technology, it is
important to improve the quality of information support for decision-making on the
organization of scientific research in theMinistry of Health, including by improving
the system of indicators and criteria for assessing the potential of scientific research
institutions, reflecting their ability to achieve the desired results in the implementation
of government contracts.
Abstract: This article is devoted to econometric analysis of the results of experiments conducted with two
agent-based models, which describe the movement of ground vehicles. There are two types of road users in
these models: manned ground vehicles (MGV) and unmanned ground vehicles (UGV). In the first model, the
main difference between UGV and MGV is an ability to exchange massages between UGV for transmitting
information about extreme situations, which allows them to adjust speed and direction of movement. In the
second model, in addition to the above differences, UGV have an additional advantage, namely, the ability to
intelligently assess density of traffic flow for efficient maneuvering. In these models, at a given roundabout,
traffic characteristics such as output stream traffic and the number of traffic accidents are analyzed. The main
task of the econometric analysis is to study dependence of these traffic characteristics on the model parameters
such as average vehicle speed, input flow rate, message exchange rate between UGV, and the impact of the
effect obtained from the implementation into UGV ability of intelligent estimation of traffic flow density.
The effectiveness of the research results’ implementation is one of the main indicators that must be taken into account in the allocation of budget funds for research. The requirement of efficiency of spending budget funds allocated for research works leads to the necessity for continuous improvement of the methodological apparatus of decision support on the allocation of funds, including considering the efficiency of implementation of previously obtained research results of each certain research institution. With the development of information technology, it is important to improve the quality of the use of budgetary funds through information support for decision making on the organization of research in the Health Ministry of Russia, based on the assessment of the potential of the research institution, reflecting their ability to achieve the stated results in the execution of state contracts. The technique of integrated assessment of the effectiveness of research results in scientific institutions of the Health Ministry of Russia is obtained in the framework of state assignments or state contracts on the basis of a set of scientometric and statistical indicators, as well as expert evaluation. The requirements to the methodology and indicators, and the requirements to the approaches and methods of expert evaluation are consistently given.
The purpose of research is to determine the areas and justify why the use of the lean concept in these areas can provide improved performance of road transport at industrial enterprises. The research methods included: observation, collection, and analysis of statistical data, expert survey, modeling a transportation system, developing indicators for evaluating the efficiency of transportation losses elimination. An analytical review showed that in lean transportation, the first steps in scientific research aimed at adapting the principles of lean production to road transport operation are being taken. The research revealed the existence of at least sixteen types of transportation losses. This fact differs significantly from the results of the losses research in the industry. An expert survey to analyze the losses is used. The Delphi method is used to identify the causal chains of factors leading to the loss generation. To evaluate the mutual impact of causes, a quantitative assessment is performed. This leads to a significant acceleration in the work aimed at improving the operations of road transport that provides services to industrial enterprises. The “black box” model of the transportation system allowed identifying the resources of the transportation process participants as inputs. There are two other groups of input factors: cargo characteristics and external environment impact. The output characteristics of the model include transportation volume and its quality indicators. A differentiation of the spent resources into useful costs, which are used for cargo transportation, and losses, which are proposed to estimate using cost indicators, was provided.