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[SPA] A pesar de las ventajas que presentan los cultivos de células vegetales para expresión y producción de proteínas y otros metabolitos de interés en biorreactores frente a los cultivos microbianos, tienen algunas limitaciones. Dos de las más importantes son el alto porcentaje de inóculo que se necesita para que los cultivos sean viables y el estrés por cizalla que sufren por la agitación mecánica. El estrés por dilución, o bajo porcentaje de inóculo, y el estrés por cizalla dan lugar al proceso de muerte celular programada (MCP). En estudios previos se ha visto que un medio de cultivo condicionado puede proteger a las células de la MCP. En este trabajo se ha estudiado este efecto frente al estrés por cizalla y por dilución que sufren los cultivos celulares vegetales a escala de matraz, para poder aplicarlo a cultivos en biorreactores. [ENG] Although there are advantages about using plant cell cultures as expression system to produce proteins and metabolites of interest in bioreactors comparing to microbial cultures, they also have some limitations. Two of the most important ones are the high inoculum percentage is needed to have viable cultures and the shear stress they suffer from mechanic agitation. Both stresses lead to programming cell death (PCD). In previous studies, it has been demonstrated that a cell-conditioned growth medium has a protective effect against PCD. In this work, we have studied this effect against both stresses in flasks cultures, to apply it in the future to bioreactor cultures.

The Tangle, the distributed ledger of IOTA, is built on a directed acyclic graph (DAG) where the nodes represent messages, and the edges correspond to reference relations. This feature of the Tangle makes it suitable for analysis using network science methods. While previous research on the Tangle has mainly focused on stability, security, scalability, and the forthcoming IOTA Coordicide update, there is limited empirical research on the evolution of the Tangle, particularly during the Chrysalis stage (IOTA 1.5). To address this gap in the literature, our study aims to develop workflows for collecting IOTA Tangle data and transaction data in the Chrysalis stage, conduct a comprehensive analysis to examine the features of messages and reconstruct the Tangle graph to study its characteristics from a network science viewpoint. Our study is the first to illuminate activities and information transferred on the Tangle, as well as its graph characteristics during the Chrysalis stage, which can enhance our comprehension of its functionality and contribute to the improvement of the Tangle’s performance in the upcoming upgrades.

We propose a further extension of a multistage fuzzy control model of stable sustainable regional agriculture development that involves an additional capacity to reflect a stability requirement which addresses a clear preference of the stakeholders for a limited variability of crucial development indicators and parameters. We presented the use of fuzzy dynamic programming for solving the problem in which many crucial aspects, in particular life quality indicators, are subject to objective, by the authorities, and subjective, by the inhabitants, evaluations which are closely related to human perception and cognitive abilities. This model is then augmented with a requirement of a limited variability of crucial development indicators, parameters, etc. For illustration, we have shown a simple example in which the problem is to determine the best (optimal) investment policy under different development scenarios, and subject to objective and subjective evaluations.

Multiple linear regression (MLR) is one of the most widely used statistical procedures for scholarly and research. The main limitation of MLR is that when being estimated with linear methodologies as ordinary least squares (OLS) becomes not functional with complex data. The ordered weighted average (OWA) is an aggregation operator that provides means that collect complex information. This work presents a new application that uses MLR and OWA operators in the same formulation. We developed two applications called MLR-OWA operator and MLR-GOWA operator. The main advantage of the MLR with OWA operators is that we can consider the degree of optimism and pessimism of the environment. We study some of its main properties and particular cases. Finally, an application is tested for a volatility exchange rate estimation problem.

© 2018 IEEE. Lotfi A. Zadeh is the founder of fuzzy logic. He is one of the most prominent computer scientists of all-time. On the 6th of September of 2017 he passed away. In order to commemorate and provide a complete overview of his research impact in the scientific community, this study presents a bibliometric overview of his publications according to the results available in the Web of Science Core Collection. The article also uses the VOS viewer in order to map graphically the leading trends connected to Zadeh in terms of journals, papers, authors and countries. Obviously, the bibliometric sources used concern more recent works of Zadeh and one should bear in mind that his brilliant and prominent works on signal analysis, Z-transform, state space approach, optimal control, etc., are not included in our analyses.

© 2019, Springer Nature Switzerland AG. We proposed a novel fuzzy multistage control model of sustainable regional agricultural development which better reflects specific features of human stakeholders. First, we use fuzzy logic for the modeling of imprecision in human judgments, intentions, preferences, evaluations, etc. Second, we propose to reflect in the model the so called status quo bias of the humans which basically stands for a common propensity of the humans to stay with known and already employed procedures and courses of action, avoiding larger changes. We develop therefore a human centric model. We also indicate that the inclusion of the status quo bias can be viewed as a way to mitigate risk which is crucial, notably in the case of agriculture. We present some simple example of how a best (optimal) investment policy can be obtained under different development scenarios, and indicate what change the inclusion of the status quo bias brings.

Copyright © 2019 The Author(s). Published by VGTU Pr. The volatility is a dispersion technique widely used in statistics and economics. This paper presents a new way to calculate volatility by using different extensions of the ordered weighted average (OWA) operator. This approach is called the induced heavy ordered weighted moving average (IHOWMA) volatility. The main advantage of this operator is that the classical volatility formula only takes into account the standard deviation and the average, while with this formulation it is possible to aggregate information according to the decision maker knowledge, expectations and attitude about the future. Some particular cases are also presented when the aggregation information process is applied only on the standard deviation or on the average. An example in three different exchange rates for 2016 are presented, these are for: USD/MXN, EUR/MXN and EUR/USD.

© 2005-2012 IEEE. This work presents a new perspective on how Zadeh's ideas related to fuzzy logic and computing with words have influenced the crucial issue of information aggregation and have led to what may be called a human-centric aggregation. We indicate a need to develop tools and techniques to reflect some fine shades of meaning regarding what can be considered the very purpose of human-centric aggregation, notably stated by various modalities in natural language specifications, in particular the usuality. We advocate the use of the ordered weighted average (OWA) operator, which is a formidable tool that can easily be tailored to a user?s intention as to the purpose and method of aggregation, generalizing many simple and natural aggregation types, such as the arithmetic mean, maximum and minimum, and probability. We show some of the most representative extensions and generalizations, including the induced OWA, the generalized OWA, the probabilistic OWA, and the OWA distance. We show their use in the basic case of the aggregation of numerical values and in social choice (voting) results. Then, we claim that linguistic data summaries in Yager?s sense can be considered an »ultimately human consistent» form of human-centric aggregation and show how the OWA operators can be used therein.

Item does not contain fulltext, Robots' ability to learn and show autonomous/intelligent behavior is expected to bring a breakthrough in usage of robots in education and assistive technologies. We compared a fully remotely operated robot (e. g. a robot with low autonomy) with one that could recognize cards and develop a playing strategy (i.e. highly autonomous) in a quartet game. We tested whether children perceive the robot in both conditions differently. Using a within-subject design, fourteen typically developed children played with a robot with high or low autonomy. The results show that both robots were evaluated equally engaging for the children. However, the introduction of more autonomy in robot’s behavior and interaction increased the time that the educator or therapist can pay attention to the child. Consequentially, the perceived usefulness of the robot and the triadic interaction between the robot, child and educator or therapist were considerably improved from the perspective of the educator.

This paper is an extension of [1] and abstracted from [43]. Battery consumption in mobile applications development is a very important aspect and has to be considered by all the developers in their applications. This study will present an analysis of different relevant concepts and parameters that may have impact on energy consumption of Windows Phone applications. This operating system was chosen because there is limited research even though there are related studies for Android and iOS operating systems. Furthermore, another reason is the increasing number of Windows Phone users. The objective of this research is to categorise the energy consumption parameters (e.g. use of one thread or several thread for the same output). The result for each group of experiments will be analyzed and a rule will be derived. The set of derived rules will serve as a guide for developers who intend to develop energy efficient Windows Phone applications. For each experiment, one application is created for each concept and the results are presented in two ways: a table and a chart. The table presents the duration of the experiment, the battery consumed in the experiment, the expected battery lifetime and the energy consumption, while the charts display the energy distribution based on the main threads: UI thread, application thread and network thread.

This book chapter is adapted from [1] and it is closely linked to work published in [2] and [3]. Reducing power consumption of network equipment has been both driven by a need to reduce the ecological footprint of the cloud as well as the im-mense power costs of data centers. As data centers, core networks and conse-quently, the cloud, constantly increase in size, their power consumption should be mitigated. Ethernet, the most widely used access network still remains the biggest communication technology used in core networks and cloud infrastructures. The Energy-Efficient Ethernet or EEE standard introduced by IEEE in 2010, aims to reduce the power consumption of EEE ports by transitioning Ethernet ports into a low power mode when traffic is not present. As statistics show that the average utilization rate of ethernet links is 5 percent on desktops and 30 percent in data centers, the power saving potential of EEE could be immense. This research aims to assess the benefits of deploying EEE and create a power consumption model for network switches with and without EEE. Our measurements show that an EEE port runs at 12-15% of its total power when in low power mode. Therefore, the power savings can exceed 80% when there is no traffic. However, our measure-ments equally show that the power consumption of a single port represents less than 1% of the total power consumption of the switch. The base power consumed by the switch without any port is still significantly high and is not affected by EEE. Experiment results also show that the base power consumption of switches does not significantly increase with the size of the switches. Doubling the size of the switch between 24 and 48 ports increases power consumption by 35.39%. EEE has a greater effect on bigger switches, with a power (or energy) gain on the EEE-enabled 48-port switch compared to 2 x EEE-enabled 24-port switch. On the other hand, it seems to be more energy efficient to use 2 separate 24-port switches (NO EEE)

© 2018 Wiley Periodicals, Inc. The Hamming distance is a well-known measure that is designed to provide insights into the similarity between two strings of information. In this study, we use the Hamming distance, the optimal deviation model, and the generalized ordered weighted logarithmic averaging (GOWLA) operator to develop the ordered weighted logarithmic averaging distance (OWLAD) operator and the generalized ordered weighted logarithmic averaging distance (GOWLAD) operator. The main advantage of these operators is the possibility of modeling a wider range of complex representations of problems under the assumption of an ideal possibility. We study the main properties, alternative formulations, and families of the proposed operators. We analyze multiple classical measures to characterize the weighting vector and propose alternatives to deal with the logarithmic properties of the operators. Furthermore, we present generalizations of the operators, which are obtained by studying their weighting vectors and the lambda parameter. Finally, an illustrative example regarding innovation project management measurement is proposed, in which a multi-expert analysis and several of the newly introduced operators are utilized.

© Springer International Publishing Switzerland 2017. This study presents a bibliometric analysis of the publications of Ronald R. Yager available in Web of Science. Currently Professor Yager has more than 500 publications in this database. He is recognized as one of the most influential authors in the World in Computer Science. The bibliometric review considers a wide range of issues including a specific analysis of his publications, collaborators and citations. The VOS viewer software is used to visualize his publication and citation network though bibliographic coupling and co-citation analysis. The results clearly show his strong influence in Computer Science although it also shows a strong influence in Engineering and Applied Mathematics.

We consider a discrete-time non-stationary stochastic process being a sum of two other processes. Given a data matrix of its realizations, we aim to estimate and then analyze the mean values of the component processes as functions of time. Both existence and uniqueness of a solution to this problem are investigated. An algorithm for estimating the mean values is proposed. The method is applied to analyze the uncertainty in National Inventory Reports (NIR) on greenhouse gases (GHG) emission, provided annually by cosignatories to the UNFCCC and its Kyoto Protocol. Each report contains data on GHG emission from a given year and revisions of past data, recalculated due to improved knowledge and methodology. However, it has to also deal with uncertainty, present whether GHG emissions are quantified. The method proposed can be used as an attempt to improve inaccuracy and imprecision in processing the rough data in time. The results are presented for Poland, and a few selected EU-15 countries.

© 2016 The aim of the paper is to develop new aggregation operators using Bonferroni means, OWA operators and some distance measure. We introduce the BON-OWAAC and BON-OWAIMAM operators. We are able to include coefficient adequacy and the maximum and minimum levels in the same formulation with Bonferroni means and an OWA operator. The main advantages of using these operators are that they allow consideration of continuous aggregations, multiple comparisons between each argument and distance measures in the same formulation. An application is developed using these new algorithms in combination with Moore's families and Galois lattices to solve group decision-making problems. The professional and personal interests of the entrepreneurs who share co-working spaces are taken as an example for establishing relationships and groups. According to the professional and personal profile affinities for each entrepreneur, the results show dissimilarity and fuzzy relationships and the maximum similarity sub-relations to establish relationships and groups using Moore's families and Galois lattice. Finally, this new type of distance family can be used for applications in areas such as sports teams, strategy marketing and teamwork.

This two volume set of books constitutes the proceedings of the 2014 7th IEEE International Conference Intelligent Systems (IS), or IEEE IS'2014 for short, held on September 24–26, 2014 in Warsaw, Poland. Moreover, it contains some selected papers from the collocated IWIFSGN'2014‐Thirteenth International Workshop on Intuitionistic Fuzzy Sets and Generalized Nets. The conference was organized by the Systems Research Institute, Polish Academy of Sciences.

This paper describes the proposed ATDT approach for autonomous template-based detection and tracking from a moving airborne camera or an electro-optical (EO) device. The advantages of the proposed method ATDT is that it is fully autonomous (no human involvement is needed; in the experiment the human was only involved to navigate the UAV not for any of the steps of the video analysis) replacing the need of human operators for video analytics tasks, it can be used on board UAV, is computationally lean and can operate in real time.

This chapter reviews three formulations of rough set theory, i. e., element-based definition, granule-based definition, and subsystem-based definition. These formulations are adopted to generalize rough sets from three directions. The first direction is to use an arbitrary binary relation to generalize the equivalence relation in the element-based definition. The second is to use a covering to generalize the partition in the granule-based definition, and the third to use a subsystem to generalize the Boolean algebra in the subsystem-based definition. In addition, we provide some insights into the theoretical aspects of these generalizations, mainly with respect to relations with non-classical logic and topology theory.

For robots to be productive co-workers in the manufacturing industry, it is necessary that their human colleagues can interact with them and instruct them in a simple manner. The goal of our research is to lower the threshold for humans to instruct manipulation tasks, especially sensorcontrolled assembly. In our previous work we have presented tools for high-level task instruction, while in this paper we present how these symbolic descriptions of object manipulation are translated into executable code for our hybrid industrial robot controllers.