bluuebunny/crossref_metadata_2025 huggingface dataset:
Humanoid Robots
Authors: Zhang Si , Wu Jinglong , Huang Qiang
Published: December 2019

This paper provides a review of humanoid robots and mind control humanoid robots. Information was obtained mainly from journals and conference proceedings on robotics and mind control technology. We primarily focus on providing an overview of commercially available robots and prototype research-stage humanoid robots in addition to mind control humanoid robot systems. First, a history and overview of the humanoid robot is presented. Then, typical mind control humanoid robot systems are described, including the relevant brain-computer interface and the whole control framework. Finally, the remaining research challenges in the field of humanoid robot safety are summarized.
Proficient Clustering algorithm for Wireless Sensor Networks
Authors: Gopal Nivetha , Krishnan Venkatalakshmi
Published: December 2019

Enhancing the energy efficiency and maximizing the networking lifetime are the major challenges in Wireless Sensor Networks (WSN).Swarm Intelligence based algorithms are very efficient in solving nonlinear design problems with real-world applications.In this paper a Swarm based Fruit Fly Optimization Algorithm (FFOA) with the concept of K-Medoid clustering and swapping is implemented to increase the energy efficiency and lifetime of WSN. A comparative analysis is performed in terms of cluster compactness,cluster error and convergence. MATLAB Simulation results show that K-Medoid Swapping and Bunching Fruit Fly optimization (KMSB-FFOA) outperforms FFOA and K-Medoid Fruit Fly Optimization Algorithm (KM-FFOA).
A Novel Multiobjective Optimization for Cement Stabilized Soft Soil based on Artificial Bee Colony
Authors: Khandelwal Rahul , Senthilnath J. , Omkar S. N. , Shivanath Narendra
Published: December 2019

Cement is the most widely used additive in soft soil stabilization due to its high strength and availability. The cement content and curing time have a direct influence on the stabilization cost and hence it is prudent to minimize these variables to achieve optimality. Thus, it is a classical multi-objective optimization problem to find the optimum combination of cement content used and the curing time provided to achieve the target strength. This paper brings out the use of Vector Evaluated Artificial Bee Colony (VEABC) algorithm, a multi-objective variant of Artificial Bee Colony (ABC) technique, for the problem on hand. VEABC is a swarm intelligence algorithm, which employs multiple swarms to handle the multiple objectives and the information migration between these swarms ensures a global optimum solution is reached. Due to the stochastic nature of ABC algorithm, the resulting Pareto Curve will cover a good range of data with smooth transition. The Pareto fronts obtained for target strength could be used as calibration charts for scheduling the soft soil stabilization activities.
Generic System Models
Authors: Hadorn Benjamin
Published: December 2019

Systemic and holistic approaches provide a new way of thinking about, understanding and designing systems. In this chapter we aim to highlight the most significant and influential work in this trend, and in particular the achievements of cybernetics, systemics and coordination modeling. Starting with cybernetics, related topics like cybernetic orders, self-organization, autopoiesis and conversation theory are explained. Systemics, and especially general system theory, provide a general language and terminology to express and model systems independent of any research domain. Together with integral and system thinking, this leads to a paradigm shift in understanding and modeling complex and non-linear systems. Concretely, we introduce the meta model of Schwarz which was the starting point of our own generic system model URANOS. Finally, the coordination theories and models which had a great impact on our research on human-centered design are outlined.
Design and Development of a Modified Artificial Bee Colony Approach
Authors: Alharbi Saad T.
Published: December 2019

The traveling thief problem (TTP) is a benchmark problem that consists of two well-known problems, the traveling salesman problem (TSP) and the knapsack problem (KP). It was defined to imitate complex real-world applications that comprise different interdependent sub-problems. Various approaches were proposed in the literature to solve such a problem. These approaches mostly focus on local search algorithms, heuristics methods and evolutionary approaches. In addition, some of these approaches concentrated on solving the problem by considering each sub-problem independently. Thus far, limited approaches were proposed to solve the problem using swarm intelligence. In this article, the authors introduce a modified artificial bees colony (ABC) algorithm that addresses the TTP in an interdependent manner. The performance of this approach was compared with various recent approaches in the literature using different benchmark instances. The obtained results demonstrated that it is competitive with the state-of-the-art approaches, especially on small and medium instances.
Autonomous Intelligent Robotic Navigation System Architecture With Mobility Service for IoT
Authors: Subbulakshmi T.  , Balaji N.
Published: December 2019

This article presents the platform for autonomous vehicle architecture, navigation optimization and mobility services. The basic approach is to develop an intelligent agent to create a safety journey and redefine the world of transportation. The goal is to eliminate human driving errors and save human life from accidents. AI robots are a concept of future transportation with full automation and self-learning. Velodyne laser sensors are used for obstacle detection and autonomous navigation of ground vehicles and to create 3D images of the surround so that navigation and controls are optimized. In this article, existing system accessibility will be optimized by multiple features. The agent accessibility is improved, and users can access the vehicles through different ways like mobile apps, speech recognition and gestures. This article concentrates on the mobility services of autonomous vehicles.
Cognition of a Robotic Manipulator Using the Q-Learning Based Situation-Operator Model
Authors: Dubey Akash Dutt , Mishra Ravi Bhushan
Published: December 2019

In this article, we have applied cognition on robot using Q-learning based situation operator model. The situation operator model takes the initial situation of the mobile robot and applies a set of operators in order to move the robot to the destination. The initial situation of the mobile robot is defined by a set of characteristics inferred by the sensor inputs. The Situation-Operator Model (SOM) model comprises of a planning and learning module which uses certain heuristics for learning through the mobile robot and a knowledge base which stored the experiences of the mobile robot. The control and learning of the robot is done using q-learning. A camera sensor and an ultrasonic sensor were used as the sensory inputs for the mobile robot. These sensory inputs are used to define the initial situation, which is then used in the learning module to apply the valid operator. The results obtained by the proposed method were compared to the result obtained by Reinforcement-Based Artificial Neural Network for path planning.
Anti-Swing and Position Control of Single Wheeled Inverted Pendulum Robot (SWIPR)
Authors: Kharola Ashwani , Dhuliya Piyush , Sharma Priyanka
Published: December 2019

This article presents a fuzzy logic based offline control strategy for the stabilisation of a single-wheeled inverted pendulum robot (SWIPR). A SWIPR comprises of robot chassis mounted on a single wheel. A Matlab-Simulink model of the system has been built from mathematical equations derived using Newton's second law of motion. The study considers three different shape membership functions (MFs) i.e. gaussian, gbell and trapezoidal for designing of fuzzy logic controllers (FLCs). The performance parameters considered for comparison of controllers were rising time, settling time, steady state error and maximum overshoot. The simulation results proved the superiority of gbell MFs over other MFs.
A Parallel Levenberg-Marquardt Algorithm for Recursive Neural Network in a Robot Control System
Authors: Wang Wei , Pu Yunming , Li Wang
Published: December 2019

This article has the purpose of overcoming the shortcomings of the recursive neural network learning algorithm and the inherent delay problem on the manipulator master control system. This is by analyzing the shortcomings of LM learning algorithms based on DRNN network, an improved parallel LM algorithm is proposed. The parallel search of the damping coefficient β is found in order to reduce the number of iterations of the loop, and the algorithm is used to decompose the parameter operation and the matrix operation into the processor (core), thereby improve the learning convergence speed, and control the scale of the delay. The simulation results show that the pro-posed algorithm is feasible.
Development of a Surface EMG-Based Control System for Controlling Assistive Devices
Authors: K. Uvanesh , Nayak Suraj Kumar , Champaty Biswajeet , Thakur Goutam , Mohapatra Biswajit , Tibarewala D. N. , Pal Kunal
Published: December 2019

The current study discusses about the development of an EMG based wireless control system for the patients suffering from high-level motor disability. Surface EMG (sEMG) signals were processed in the time domain and using discrete wavelet transforms (DWT). The statistical features of the signals (sEMG, envelope of the squared sEMG and wavelet processed sEMG) were determined and analyzed. The analysis of the features suggested that the features of the envelope of the squared sEMG signals were sufficient to be used for high-efficiency classification and control signal generation. A hall-effect sensor based switching mechanism was introduced for controlling the duration of the activation of the device. The control signals were wirelessly transmitted to the assistive device (robotic vehicle). The training and the subsequent use of the developed control system were easy.
Single SNN Architecture for Classical and Operant Conditioning Using Reinforcement Learning
Authors: Dumesnil Etienne , Beaulieu Philippe-Olivier , Boukadoum Mounir
Published: December 2019

A bio-inspired robotic brain is presented where the same spiking neural network (SNN) can implement five variations of learning by conditioning (LC): classical conditioning (CC), and operant conditioning (OC) with positive/negative reinforcement/punishment. In all cases, the links between input stimuli, output actions, reinforcements and punishments are strengthened depending on the stability of the delays between them. To account for the parallel processing nature of neural networks, the SNN is implemented on a field-programmable gate array (FPGA), and the neural delays are extracted via an adaptation of the synapto-dendritic kernel adapting neuron (SKAN) model, for a low resource demanding FPGA implementation of the SNN. A custom robotic platform successfully tested the ability of the proposed architecture to implement the five LC behaviors. Hence, this work contributes to the engineering field by proposing a scalable low resource demanding architecture for adaptive systems, and the cognitive field by suggesting that both CC and OC can be modeled as a single cognitive architecture.
Finding Automated (Bot, Sensor) or Semi-Automated (Cyborg) Social Media Accounts Using Network Analysis and NodeXL Basic
Authors: Hai-Jew Shalin
Published: December 2019

Various research findings suggest that humans often mistake social robot (‘bot) accounts for human in a microblogging context. The core research question here asks whether the use of social network analysis may help identify whether a social media account is fully automated, semi-automated, or fully human (embodied personhood)—in the contexts of Twitter and Wikipedia. Three hypotheses are considered: that automated social media account networks will have less diversity and less heterophily; that automated social media accounts will tend to have a botnet social structure, and that cyborg accounts will have select features of human- and robot- social media accounts. The findings suggest limited ability to differentiate the levels of automation in a social media account based solely on social network analysis alone in the face of a determined and semi-sophisticated adversary given the ease of network account sock-puppetry but does suggest some effective detection approaches in combination with other information streams.
Artificial Minds with Consciousness and Common sense Aspects
Authors: Shylaja K.R. , Vijayakumar M.V. , Prasad E. Vani , Davis Darryl N.
Published: December 2019

The research work presented in this article investigates and explains the conceptual mechanisms of consciousness and common-sense thinking of animates. These mechanisms are computationally simulated on artificial agents as strategic rules to analyze and compare the performance of agents in critical and dynamic environments. Awareness and attention to specific parameters that affect the performance of agents specify the consciousness level in agents. Common sense is a set of beliefs that are accepted to be true among a group of agents that are engaged in a common purpose, with or without self-experience. The common sense agents are a kind of conscious agents that are given with few common sense assumptions. The so-created environment has attackers with dependency on agents in the survival-food chain. These attackers create a threat mental state in agents that can affect their conscious and common sense behaviors. The agents are built with a multi-layer cognitive architecture COCOCA (Consciousness and Common sense Cognitive Architecture) with five columns and six layers of cognitive processing of each precept of an agent. The conscious agents self-learn strategies for threat management and energy level maintenance. Experimentation conducted in this research work demonstrates animate-level intelligence in their problem-solving capabilities, decision making and reasoning in critical situations.
Perception Effects in Ground Robotic Tele-Operation
Authors: Stone Richard T. , Schnieders Thomas Michael , Zhong Peihan
Published: December 2019

The focus of this article is perception affects and enhancement during ground robotic tele-operation. Three independent factors were studied, namely scale perception, distance perception, and orientation awareness. Enhancements for each factor was proposed, implemented, and evaluated. The results show that under remote perception conditions, where the operator was separated from the environment where the navigation took place, both distance perception and scale perception were significantly impaired as compared with that obtained under direct perception conditions. In addition, for each of the proposed enhancements designed for each critical factor, the corresponding factor was significantly improved. The broader impacts of this work can be applied to various human-robot collaborated applications, such as urban search and rescue. Applying the proposed enhancements will allow the operators to have fewer failures through hallways, doorways, or maneuvering around obstacles, as well as allowing a more accurate understanding of the area's layout when a map is not available.
Fake Empathy and Human-Robot Interaction (HRI)
Authors: Vallverdú Jordi , Nishida Toyoaki , Ohmoto Yoshisama , Moran Stuart , Lázare Sarah
Published: December 2019

Empathy is a basic emotion trigger for human beings, especially while regulating social relationships and behaviour. The main challenge of this paper is study whether people's empathic reactions towards robots change depending on previous information given to human about the robot before the interaction. The use of false data about robot skills creates different levels of what we call ‘fake empathy'. This study performs an experiment in WOZ environment in which different subjects (n=17) interacting with the same robot while they believe that the robot is a different robot, up to three versions. Each robot scenario provides a different ‘humanoid' description, and out hypothesis is that the more human-like looks the robot, the more empathically can be the human responses. Results were obtained from questionnaires and multi- angle video recordings. Positive results reinforce the strength of our hypothesis, although we recommend a new and bigger and then more robust experiment.
Can We Induce a Cognitive Representation of a Prosthetic Arm by Means of Crossmodal Stimuli?
Authors: Franco Mateus , Ortiz Tiago V. , Amorim Henrique A. , Faber Jean
Published: December 2019

The ownership feeling of our body occurs mainly due to feedback responses in real-time from environment stimuli to our own body. These constant feedbacks induce a neuronal arrangement, generating a representative map and, consequently, an ownership and unity feeling, named as a body schema. Although there is a relative well knowing of the sensorial mapping about each part of our body, there are still several gaps about how the integration of all this representation is indeed accomplished. Many researchers have shown high rates of prosthesis non-acceptance due to different reasons. Here, the authors discuss an experimental protocol to induce optimally the ownership feeling associated with upper limb prosthesis, by means of a crossmodal vibro-tactile stimulation over the individual's body. The main hypothesis is that through this procedure the participant will extend their proprioception and achieve an ownership feeling of the prosthesis.
Robotic Assistive System
Authors: Rahim Ku Nurhanim Ku Abdul , Elamvazuthi I. , Vasant P. , Ganesan T.
Published: December 2019

Stroke is the leading cause of disability that influences the quality of people's daily life. As such, an effective method is required for post-stroke rehabilitation. Research has shown that a robot is a good rehabilitation alternative where conventional robotic assistive system is encoded program by the robot expertise. The major drawback of this approach is that the lack of voluntary movement of the patient may affect the proficiency of the recovery process. Ideally, the robotic assistive system should recognize the intended movement and assist the patient to perform and make the training exercises more effective for recovery process. The electromyography based robotics assistive technology would enable the stroke patients to control the robot movement, according to the user's own strength of natural movement. This chapter briefly discusses the establishment of mathematical models based on artificial intelligent techniques that maps the surface electromyography (sEMG) signals to estimated joint torque of elbow for robotic assistive system.
The RoboESL Project
Authors: Moro Michele , Agatolio Francesca , Menegatti Emanuele
Published: December 2019

In this article, the authors summarize the development of the first half of curricula designed for the RoboESL project. They then give some more details about the second half of curricula. Through development, the authors adopted LEGO Mindstorms EV3 as an educational robotic platform, the curricula can be adapted to other platforms after some possible simplifications. Having a clear overall perspective of the project, one section of the paper is devoted to providing a comprehensive analysis and some remarks on the expected outcomes.
Animal Rights and Robot Ethics
Authors: Hagendorff Thilo
Published: December 2019

This paper investigates challenges which anthropocentric and pathocentric ethics have to face when confronted with moral considerations about non-human animals, especially so-called disenhanced animals, and a new class of technological artifacts, namely social robots. Referring to the case of animal welfare, robot ethics emerges as a new discipline that has not yet reflected on the ideological biases that commonly underlie moral judgments toward animals and find expression in robot ethics, too. As a consequence, robot ethics perpetuates the “work of purification,” that is, the isolation and definition of a particular entity possessing a moral status. Whenever such an entity is defined, the definition excludes all those entities which could likewise possess a moral status but do not fit exactly to the pre-specified definition. The crucial question, then, is whether to seek an ethic of unconditional compassion that doesn't allow itself to be restricted by ideology and is therefore convenient for animal rights and robot ethics as well.
Techniques in Multi-Robot Area Coverage
Authors: Das Deepanwita , Mukhopadhyaya Srabani , Nandi Debashis
Published: December 2019

Swarm of mobile robots is actually a large number of small robots imitating the behavior of social insects that perform certain tasks in a group. This chapter considers the problem of area coverage by a swarm of mobile robots. Initially, the robots occupy random positions in a target area. The objective is to physically cover/scan each accessible location of that area by at least one robot of the swarm. After discussing, in brief, different models and their challenges this chapter summarizes the research works carried out to solve this problem. The existing literature is classified into two categories, namely, team based approach and individual approach. The pros and cons of both the approaches are indicated and finally a comparative study of the addressed works in terms of computational model, synchrony, characteristics of robots, etc. is presented.
A Comprehensive Literature Review on Nature-Inspired Soft Computing and Algorithms
Authors: Ervural Bilal , Ervural Beyzanur Cayir , Kahraman Cengiz
Published: December 2019

Soft Computing techniques are capable of identifying uncertainty in data, determining imprecision of knowledge, and analyzing ill-defined complex problems. The nature of real world problems is generally complex and their common characteristic is uncertainty owing to the multidimensional structure. Analytical models are insufficient in managing all complexity to satisfy the decision makers' expectations. Under this viewpoint, soft computing provides significant flexibility and solution advantages. In this chapter, firstly, the major soft computing methods are classified and summarized. Then a comprehensive review of eight nature inspired – soft computing algorithms which are genetic algorithm, particle swarm algorithm, ant colony algorithms, artificial bee colony, firefly optimization, bat algorithm, cuckoo algorithm, and grey wolf optimizer algorithm are presented and analyzed under some determined subject headings (classification topics) in a detailed way. The survey findings are supported with charts, bar graphs and tables to be more understandable.
A Computational, Cognitive, and Situated Framework for Emotional Social Simulations
Authors: Vallverdú Jordi , Casacuberta David
Published: December 2019

Human emotions and social processes are evolutionary intertwined, as the result of neuromodulatory mechanisms that define the nature of how bodies interact with the world and create strategies with other bodies and agents. This article presents the previous simulations of TPR, TPR 2.0 and The Game of Emotions. Ideas are also justified in order to achieve the next research level into social emotional simulations. This article describes a defense of the epistemological value of computer simulations for the analysis of emotions and social interactions. Finally, the elements of the model are described as well as is defined a basic sketch of the basic control algorithm.
Our Cyber-Systemic Future
Authors: Espejo Raul
Published: December 2019

How can systems and cybernetics address the issues arising from an increasingly complex world, that often is beyond our traditional response capabilities? The author argues that to address such complexity we require imaginative propositions and innovative behaviours to see and address the inherently systemic nature of our world, which too often is fragmented by policies driven by non-systemic models. Socially, we live in a world experiencing systemic deficit; our policy responses are often fragmented, but even if they are not, socially designed responses fail to recognise environmental constraints and produce innovative allocations of requisite resources to make them happen. The author argues that conversational spaces, such as those offered by the World Organisation of Systems and Cybernetics [WOSC], and other cybersystemic associations, should help dealing with fragmentation and resources allocation; he sees these conversations as necessary contributions to redress our systemic deficit. Systemic thinking should help in visualising social situations as wholes, thus reducing the chances of dysfunctional fragmentation and cybernetics should help us understanding processes of dynamic stability in the interactions among and between people, institutions, and organizations. Systemic thinking should give us methodological tools; cybernetics should give us communication tools to manage the complexity of situations from the local to the global. The paper discusses complexity management strategies, emphasising the need to deal operationally with this complexity rather than cognitively; operational complexity is orders of magnitude larger than cognitive complexity. The paper ends up with an illustration of these complexity management strategies in higher education.
How Spiritual Leadership Affects Job Satisfaction and Workplace Deviant Behavior (Study at the Regional Secretariat of the City of Palangkaraya)
Authors: Hutahayan Benny
Published: December 2019

Examining the relationship of spiritual leadership to job satisfaction and workplace deviant behavior. This research was survey research. The population was the employee of the government of the city of Palangkaraya, Indonesia with its characteristics as civil servants (PNS) in all regional work units (SKPD) within the secretariat of the regional government of the city of Palangkaraya. The sampling technique used in this study was the stratified random sampling technique. The method and data analysis used SEM. This research contributed to the development of science, especially spiritual leadership. The application of spiritual leadership at the regional government secretariat of the city of Palangkaraya has the effect of creating a spiritual work climate where a leader constantly develops and practices spiritual values in his organization, especially altruistic attitudes.
Data Collection and Analyses Applying Unmanned Helicopter (UAV) Remote Sensing to Survey Water Chestnut Invasive Species
Authors: Tang Tao , Jiang Chenliuli , Perrelli Mary
Published: December 2019

Unmanned aerial vehicles (UAVs) can be utilized for large quantity data acquisitions. The major objective of this research is to apply UAV technology to perform rapid data collections and to predict coverages of water chestnut (Trapa natans) invasive species along the lower Erie Canal. The second objective of this research is to assess the effectiveness of the physical removal by US Fishery and Wildlife Services (US-FWS) since 2010 using the collected data. Third, both micro-climatic conditions of temperature and relative humidity (RH), land use and land cover types were analyzed to assess habitat conditions of water chestnut. The results indicate that the physical removal of water chestnut by US-FWS was very effective. Four plant patches were detected applying drone (UAV) sensor in the summer of 2016. Temperature and RH survey show that temperature decreases in general as altitude increases. RH values both at the canal surface and at 12 meters above the surface are higher than those at the surrounding land areas. However, a few exceptions exist at the ground level, which might be influenced by grassland moisture evapotranspiration. In summary, 1) no sufficient evidence in this study to illustrate the effects of temperature and RH on the growth of water chestnut; 2) the highest concentration and re-appearance of water chestnut are either at the public parks or at the boat docking sites in the urban areas. 3) This research demonstrates UAV is an emerging technology of large data collection and analysis.
An Architecture for Restful Web Service Discovery Using Semantic Interfaces
Authors: Dantas José Renato Villela , Farias Pedro Porfirio Muniz
Published: December 2019

In the internet environment, web services based on representational state transfer (REST) have become the de facto standard. The addition of semantics is intended to enhance the description of web services with information that enables automatic agents to understand their data. However, the existence of different languages to semantically describe services makes it difficult to discover and select the service that best meets a requirement. Furthermore, relatively few proposals have a RESTful service semantic description, making the discovery process for RESTful services more difficult. This work proposes a RESTful semantic web service discovery architecture based on semantic interfaces (SERIN). SERIN is an ontology with annotations that semantically describe RESTful web services. This architecture enables software agents to automatically discover and make service calls in order to execute a determined task.
A Status Property Classifier of Social Media User's Personality for Customer-Oriented Intelligent Marketing Systems
Authors: Chen Tsung-Yi , Chen Yuh-Min , Tsai Meng-Che
Published: December 2019

Enterprises need to obtain information about not only specific customer preferences, but also, more importantly, customers' psychological characteristics that significantly influence their consumption behaviors and response to intelligent-based marketing activities. If enterprises want to implement more precise intelligent selling activities for customers, customers' personality information will serve as a highly valued reference. The automatic detection method proposed in this study is based on techniques such as text semantic mining and machine learning to conduct personality type prediction on the target by collecting and analyzing the target's social media data. In the test, 5,858 statuses were obtained, 815 of which were labeled, with 122 effective tags. In general, when n = 5, the labeling rate can reach 60-80%. The status property classifier (SPC) proposed in this study can predict the personality type (PT) of the user publishing the status set with a high degree of accuracy by conducting text semantic mining on the status set.
The Impact of Language Use and Academic Integration for International Students
Authors: Amos Michelle L. , Plews Rachel C.
Published: December 2019

This article investigates the prevalence of online activity and preferred language use in these tasks. A survey was administered to students enrolled at three institutions to determine the frequency of their engagement in different online tasks in addition to the language(s) that they used. This work uses Transformative Learning Theory as a lens to examine how these students use language to navigate their transition into their new roles as college students and members of new communities. Several differences were noted among the study sites, reflecting the culture of the region and the varied student populations. The authors suggest minor revisions of the measure and continued investigation with additional international study sites to broaden data and allow for specific, culturally-based suggestions for improved student support. Increases in both international student enrollment and technology use require exploration of how these students use the Internet. This work is unique addressing the need to balance student emotional support needs and their need for language acquisition.
The Humanification of the Urban Community
Authors: Cappellaro Francesca , Chiarini Roberta , Meloni Claudia
Published: December 2019

This article explores a cognitive, heuristic and perceptive approach to human behaviour that is to call humanification to inspire urban planners and sustainable transition managers to focus on communities in anticipation of a new culture. This perspective offers the opportunity to understand urban sustainable communities as a full sustainable experience. The case of Centocelle (Rome) Italian district is reported here as an example concerned the transformation of the local community into a self-community organization in which the work of facilitation and mediation was focused to raise a direct representation of local capacities. Humanification as an approach contributed to sustainable cognitive behaviors of a new cultural process that establishes new relationships between citizens and their home. Keywords Sustainability Culture, Human Becoming, Biosemiotic, Epistemology, Pre-Adaptation
Smart Creative Tourism
Authors: Zhou Chunfang
Published: December 2019

This article will focus on how smart museums provide conditions for creative and playful learning experience that facilitates creative tourism development, overcomes cultural barriers of public participation, and therefore benefits to smart city planning. Theoretically, a social-cultural perspective to the concept of creativity will be outlined that further brings a framework that intertwines with concepts of creativity, learning, playfulness, fun, and participation. This framework addresses why and how visitors in smart museums may learn creative and playful experience through participation with new technologies. Furthermore, by taking emerging smart museums in China as a case, this article also brings implications for other cultures on how to develop diverse methods and varies strategies for encouraging public participation in smart city planning in the future.
A Identidade Negra como instrumento de luta entre os trabalhadores rurais, 1954-64.
Authors: Porphirio Max Fellipe Cezario
Published: December 2019

Influenciados pelas discussões desenvolvidas por Álvaro Nascimento no artigo Trabalhadores Negros e o “Paradigma da Ausência”: contribuições à história social do trabalho no Brasil, pensamos este trabalho, cujo objetivo é analisar a instrumentalização da identidade negra nas estratégias argumentativas do Partido Comunista Brasileiro (PCB), das Ligas Camponesas e da Igreja Católica, forças que atuaram no campo brasileiro entre 1945 e 1964. Para tanto, consultamos um conjunto diversificado de periódicos e dialogamos com produções de diferentes centros de pesquisa.
O documentário brasileiro na mira da censura (1964-1988): notas introdutórias
Authors: Tomaim Cássio dos Santos
Published: December 2019

Estudo sobre como a Divisão de Censura e Diversões Públicas (DCDP) tratou o documentário brasileiro produzido nos anos de 1960/70 e 1980. Ao analisar os pareceres de censura de 23 filmes – documentos disponíveis no site do projeto Memória da censura no cinema brasileiro 1964-1988 – optou-se por estudar os casos de O país de São Saruê e Iracema, uma transa amazônica. Nas décadas de 1960/70 presenciamos o surgimento de um novo documentarismo que buscava retratar o “Brasil profundo”, o país das desigualdades que tanto se conflitava com a imagem desenvolvimentista que a propaganda da ditadura difundia. Ao analisar a censura a estes filmes constatou-se que as dinâmicas censórias se valeram tanto de questões morais quanto de posicionamentos políticos-ideológicos.
Regulaciones sobre filiación y familia en la definición de los derechos ciudadanos entre fines de siglo XIX y principios de siglo XX (Argentina, Chile, Uruguay)
Authors: Florencia Paz Landeira , Valeria LLobet
Published: December 2019

El trabajo presenta una revisión analítica de la literatura alrededor de los debates regionales en Argentina, Chile y Uruguay sobre familia, matrimonio y filiación suscitados en torno a la redacción de los códigos civiles en las últimas décadas del siglo XIX y sus primeras reformas, acontecidas en la primera mitad del siglo XX. Se interrogan los distintos mecanismos jurídicos – y los argumentos en que se sustentaron – a través de los cuales se establecieron y se regularon las demarcaciones entre lo público y lo privado, lo político y lo íntimo, lo natural y lo social.
A “constitucionalização da violência” em tempos de autoritarismo: violência de Estado e direitos humanos no Brasil
Authors: Netto David Castro , Pereira Márcio José
Published: December 2019

O objetivo deste artigo é discutir o tratamento dos direitos humanos nos dois momentos de autoritarismo vividos no Brasil, na ditadura do Estado Novo e durante a ditadura militar. A partir de uma breve historicização do tratamento de questões relativas aos direitos fundamentais nas constituições de 1824 e 1891, demonstraremos como os regimes de exceção arquitetaram um conjunto jurídico que visava garantir a ação repressiva do Estado (as Constituições de 1934, 1937, 1967 e os Atos Institucionais) mantendo um conjunto significativo da população sob vigilância.
Clases sociales y movilizacion pro derechos humanos en la historia argentina reciente
Authors: Alonso Luciano
Published: December 2019

El presente trabajo propone un acercamiento a la identificación de las adscripciones de clase de los integrantes del movimiento por los derechos humanos en Argentina. Luego de constatar una integración policlasista del movimiento social, se centra en el predominio en su dirigencia y composición de integrantes de las clases medias y en ocasiones más específicamente de las clases de servicio. Primero se desarrollan algunas dimensiones subyacentes al concepto de “clase social”, para luego esbozar mediante diversos relevamientos la composición de distintos organismos de derechos humanos. Finalmente, se concluye que si bien la adscripción de clase no fue determinante para la composición del movimiento, sí sentó las bases para una cultura política compartida y para la adopción de repertorios discursivos y de acción.
Ernesto Kroch e a memória do exílio: entre Uruguai e Alemanha (1934-1984)
Authors: Brepohl Marion
Published: December 2019

Ernesto Kroch (1917-2012) foi um ativista político judeu-alemão que se exilou no Uruguai a partir de 1938, logo após ter sido preso no campo de concentração de Lichtenburg pelos nazistas. Desde sua chegada, trabalhou como metalúrgico e atuou no Partido Comunista. Em virtude do golpe civil-militar de 1973, Kroch retoma atividades de resistente até 1982, quando se vê obrigado a deixar sua segunda pátria e retornar, ainda que por apenas 4 anos, à Alemanha, onde buscou refúgio político. Em 1985, regressa ao Uruguai e volta a trabalhar como metalúrgico e como tradutor. Em 2004, redige suas memórias, livro publicado primeiramente em Frankfurt (Exil in der Heimat – heim ins Exil) e depois, no Uruguai (Patria em el exilio, exilio em la pátria; recuerdos de Europa y Latinoamérica), tema que inspira o presente artigo. Nosso objetivo é analisar como as duas experiências de exílio conformaram sua identidade a partir de sua autobiografia, que é uma leitura de si, mas também a construção de uma memória e a busca por reconhecimento.
Role of Solutions when Metasomatic Transformations in Construction Composites
Authors: Fomina Ekaterina Victorovna , Lesovik Valery S. , Kozhukhova Natalia Ivanovna , Chulenyov Anatolii S.
Published: December 2019

In the framework of development of the transdisciplinary research area «geonics» or «geomimmetics» the term «technogenic matasomatosis in construction material science» was proposed. This work is devoted to study of processes that take place in construction material when buildings management from the point of view of the technogenic metasomatosis theory: adaptation of rocks to varied technogenic conditions. The determination and calculation of coefficient of permeability for fine-aggregate concrete with different density and chemical composition of the filtrate under high-hydrostatic load was accomplished. The method of determination of a mineral basicity using thermodynamic calculation of mineral ionization was applied. It was determined, under these conditions the minerals of calcium and magnium silicates have a higher more basicity and, so, have a higher solubility vs. calcium and magnium carbonates.
Impact of Superplasticizing Agents on Physical and Mechanical Properties of Cellular Concrete
Authors: Perfilov V.A. , Gabova V.V. , Tomareva Inessa A.
Published: December 2019

The effect of superplasticizing, foam agents, various fiber aggregates on the physical and mechanical properties of cellular concrete has been studied. The article covers the results of experimental studies conducted to determine the effect of foam agents PO-6 and PB-2000, as well as polymeric and basalt fiber on the pore structure of foam concrete. The dependence between the change in density and strength of cellular concrete and the structure of its pore space has been determined.
On the Issue of Reducing the Energy Intensity of the Silicate Composites Production with the Unconventional Aluminosilicate Raw Materials Use
Authors: Volodchenko A.A. , Lesovik Valery S. , Zagorodnjuk L.K. , Glagolev E.S.
Published: December 2019

The energy intensity of production of the most common wall materials in Russia is significantly higher than their foreign counterparts. The urgent task is to reduce the energy intensity of the production of building materials, to develop and introduce energy-saving nature-like technologies for the production of building materials, which corresponds to modern trends in the development of "green" technologies. It is possible to reduce the energy intensity of the production of silicate materials due to the transition from traditional raw materials to the use of unconventional aluminosilicate raw materials of various genesis, in particular, clay rocks of the unfinished stage of mineral formation. In the course of the research, the possibility of the synthesis of the new growth in the system “aluminosilicate raw material – calcium hydroxide – water” under the conditions of hydrothermal treatment was shown. Due to the high reactivity of the raw materials used, under the conditions of hydrothermal processing, the synthesis of tumors occurs not only at high pressures and temperatures, but also at temperatures up to 100 °C. This will allow to obtain efficient hollow-walled wall building materials using energy-saving technology.
Method for Manufacturing of Fiber-Concrete Mixture for Fencing Structure Blocks
Authors: Perfilov V.A. , Lepilov Vladimir I.
Published: December 2019

The authors offered a method for manufacturing concrete mixture with preliminary mixing of bonding material, modifying agent and basalt fibers in AC electromagnetic field using steel fiber as ferromagnetic component. The obtained fiber concrete was used for fencing with improved thermal characteristics.
Heat Curing Efficiency Estimation of Concrete with Superplastificators on Polycarboxylates Basis
Authors: Kastornykh Lubov I. , Trischenko I.V. , Kakljugin A.V. , Shershen D.R.
Published: December 2019

The influence of superplastificators on polycarboxylates basis upon forming concrete mechanical and physical properties was estimated under heat curing. Heat curing is most effective for rapid concrete hardening. But simultaneously with concrete strength development heat curing may cause destruction, decreasing the most important concrete properties. It was established that steam cured self-compacting concrete with superplastificators on polycarboxylates basis is most effective at low temperature heat curing conditions. The rational concrete heat curing temperature mode should be chosen according to quality parameters estimated during experiments.
Ecological Building Elements as the Basis of Comfortable, Bio Positive Housing
Authors: Bychkov Alexandr V. , Rudchenko Ivan I. , Levchenko Daria K.
Published: December 2019

Nowadays, the decision on the creation of ecological, bio positive, energy-saving, comfortable homes and living conditions is becoming more relevant. To achieve this goal, a new technological line, allowing the production of the necessary construction elements made of straw with the stated requirements has been developed.
Foam Containers Based on Volcanic Tuff with Disperse Polyarmiation
Authors: Khezhev T.A. , Zhurtov A.V. , Kokoev M.N. , Khadzhishalapov G.N. , Yazyev B.M.
Published: December 2019

The results of studies of fibropenot phobet with the use of sawing volcanic tuff are shown. The compositions of fibropenot phobetons with the use of nylon and basalt fibers have been developed, which allow to significantly reduce shrinkage deformations and increase the strength characteristics of foam phobeton. The maximum increase in compressive strength by 38% and during bending by 110% is observed in samples of fibro-phenotope concrete with reinforcement of 0.6% by volume of basalt fiber. The combination of fibers, with the same volumetric concentration, is more effective for reducing the shrinkage of the foam-photon concrete as compared to mono-reinforced samples.
Study of the Hydration Processes of Modified Binders by Infrared Spectroscopy
Authors: Zagorodnjuk L.K. , Sumskoy D.A.
Published: December 2019

Many Russian and foreign scientists have been studying the processes of hydration of cement binders, but the processes of binders hydration with the use of mineral and organic additives have not been studied enough. The question of the superplasticizers influence on binder compositions consisting of cement and various mineral fillers requires a deep and detailed study in each case. In this regard, the aim of this work is to study the processes of portland cement hydration, modified by organomineral additive. Research was carried out on the study of changes occurring during the structure formation of modified binders by infrared spectroscopy (IR).
Evaluation of the Structures’ Reinforcement Effectiveness Based on Non-Linear Concrete State Diagrams
Authors: Toshin D.S.
Published: December 2019

The article describes a diagrammatic method for evaluating the effectiveness of strengthening structures under load. As an indicator of efficiency, a parameter is introduced that is set as the level of reinforcement loading of concrete by the beginning of the reinforced structure’s concrete destruction. The nonlinear deformation diagrams show the sequence of development and redistribution of stresses in the sections of the conditional inflexible concrete element, amplified without removing the load. The results of the practical calculation of the gain under load for some variations of the strength and the deformative characteristics of concrete are given. The data obtained indicate the possibility of applying the proposed methodology to the evaluation of the strengthening structures effectiveness without removing the load.
Experimental Studies of the Parameters of the Contact Problem in the Design of Plastic Tube Concrete Structures
Authors: Dolzhenko Alexander V. , Naumov Andrey E. , Shevchenko Andrey V. , Stoykovich N.
Published: December 2019

The article presents numerical studies of the stress-strain state of the centrally compressed short plastic-concrete-tubal vertical constructions (PCT). The authors experimentally obtained and analyzed the effect of friction on the boundary between the layers of the concrete core and the plastic tube on the stress-strain state of the PCT vertical constructions. The need to carry out these studies is associated with a deficiency of theoretical and numerical studies of this phenomenon, including for the traditional pipe concrete in a steel tube. In this regard, mathematical modeling and the creation of engineering methods for calculating the PCT based on the study of the factual joint operation of the concrete core and the cylindrical plastic shell has significant scientific potential. The calculations and experimental analysis demonstrated the validity with engineering accuracy of using the mathematical model of a short PCT column for engineering calculations and structural analysis. It has been established that the use of an analytical model makes it possible to investigate the influence of the variation of the physical and mechanical characteristics properties of the materials of the core and tube of the PCT on the parameters of the stress-strain state design and to carry out a rational design of the PCT elements in the structures of civil and industrial buildings with reference to the materials actually used widely represented in the market.