bluuebunny/crossref_metadata_2025 huggingface dataset:
An Overview of Swarm Robotics
Authors: Florea Andrei George , Buiu Cătălin
Published: December 2019

Robotic swarms represent the application target of the studies presented in this book and therefore required the reader to be acquainted with the main concepts behind this branch of robotics. The introduction of swarm robotics principles is done only after presenting multi-robot systems, in comparison with single robot systems. Among the concepts that are defined in this chapter we mention: swarm robotic system, stigmergy and neighborhoods. After this theoretical introduction, the chapter continues with a presentation of robotic platforms that can be used to validate swarm algorithms. Among the robots listed are the Kilobot, the e-puck and the Khepera. As swarm robotics generally requires a large number of individuals, the costs of running experiments on real robots can become high. For this reason, robot simulation platforms are also discussed at the end of this chapter.
Establishing A-Priori Performance Guarantees for Robot Missions that Include Localization Software
Authors: Lyons Damian , Arkin Ronald C , Jiang Shu , O'Brien Matthew J , Tang Feng , Tang Peng
Published: December 2019

One approach to determining whether an automated system is performing correctly is to monitor its performance, signaling when the performance is not acceptable; another approach is to automatically analyze the possible behaviors of the system a-priori and determine performance guarantees. Thea authors have applied this second approach to automatically derive performance guarantees for behavior-based, multi-robot critical mission software using an innovative approach to formal verification for robotic software. Localization and mapping algorithms can allow a robot to navigate well in an unknown environment. However, whether such algorithms enhance any specific robot mission is currently a matter for empirical validation. Several approaches to incorporating pre-existing software into the authors' probabilistic verification framework are presented, and one used to include Monte-Carlo based localization software. Verification and experimental validation results are discussed for real localization missions with this software, showing that the proposed approach accurately predicts performance.
New Redundant Manipulator Robot with Six Degrees of Freedom Controlled with Visual Feedback
Authors: Urrea Claudio , Araya Héctor
Published: December 2019

The design and implementation stages of a redundant robotized manipulator with six Degrees Of Freedom (DOF), controlled with visual feedback by means of computational software, is presented. The various disciplines involved in the design and implementation of the manipulator robot are highlighted in their electric as well as mechanical aspects. Then, the kinematics equations that govern the position and orientation of each link of the manipulator robot are determined. The programming of an artificial vision system and of an interface that control the manipulator robot is designed and implemented. Likewise, the type of position control applied to each joint is explained, making a distinction according to the assigned task. Finally, functional mechanical and electric tests to validate the correct operation of each of the systems of the manipulator robot and the whole robotized system are carried out.
Parametric Dimension Synthesis and Optimizations of Planar 5R Parallel Robots
Authors: Huang Ming Z.
Published: December 2019

The dimension synthesis problem for parallel robots in general is much more complex than their serial counterparts, due to the strong dependence of geometric parameters and their performances. In dimension synthesis for robots, typical performance characteristics that may be considered to evaluate the fitness of a design include workspace, manipulability, velocity, stiffness, and payload. A case study on optimal design for both workspace and manipulability had been presented previously for a class of planar parallel robots with 5R joints. This paper extends the design optimization study to include stiffness, velocity, and payload characteristics for the same class of 2-dof robots. A simple and effective parameter-variation-based, constrained optimization method will be demonstrated to obtain various optimal design solutions corresponding to those characteristics respectively. The optimal design solutions, obtained in scalable dimensionless forms, are global in nature and relative to a workspace constraint.
A Model-Based Toolchain to Verify Spatial Behavior of Cyber-Physical Systems
Authors: Herrmann Peter , Blech Jan Olaf , Han Fenglin , Schmidt Heinz
Published: December 2019

A method preserving cyber-physical systems to operate safely in a joint physical space is presented. It comprises the model-based development of the control software and simulators for the continuous physical environment as well as proving the models for spatial and real-time properties. The corresponding toolchain is based on the model-based engineering tool Reactive Blocks and the spatial model checker BeSpaceD. The real-time constraints to be kept by the controller are proven using the model checker UPPAAL.
Cognitive Computation
Authors: Faix Marvin , Mazer Emmanuel , Laurent Raphaël , Abdallah Mohamad Othman , Le Hy Ronan , Lobo Jorge
Published: December 2019

Probabilistic programming allows artificial systems to better operate with uncertainty, and stochastic arithmetic provides a way to carry out approximate computations with few resources. As such, both are plausible models for natural cognition. The authors' work on the automatic design of probabilistic machines computing soft inferences, with an arithmetic based on stochastic bitstreams, allowed to develop the following compilation toolchain: given a high-level description of some general problem, formalized as a Bayesian Program, the toolchain automatically builds a low-level description of an electronic circuit computing the corresponding probabilistic inference. This circuit can then be implemented and tested on reconfigurable logic. This paper describes two circuits as validating examples. The first one implements a Bayesian filter solving the problem of Pseudo Noise sequence acquisition in telecommunications. The second one implements decision making in a sensorimotor system: it allows a simple robot to avoid obstacles using Bayesian sensor fusion.
Localization and Mapping for Indoor Navigation
Authors: Gaber Heba , Marey Mohamed , Amin Safaa , Tolba Mohamed F.
Published: December 2019

Mapping and exploration for the purpose of navigation in unknown or partially unknown environments is a challenging problem, especially in indoor environments where GPS signals can't give the required accuracy. This chapter discusses the main aspects for designing a Simultaneous Localization and Mapping (SLAM) system architecture with the ability to function in situations where map information or current positions are initially unknown or partially unknown and where environment modifications are possible. Achieving this capability makes these systems significantly more autonomous and ideal for a large range of applications, especially indoor navigation for humans and for robotic missions. This chapter surveys the existing algorithms and technologies used for localization and mapping and highlights on using SLAM algorithms for indoor navigation. Also the proposed approach for the current research is presented.
Autonomic Computing in a Biomimetic Algorithm for Robots Dedicated to Rehabilitation of Ankle
Authors: de Souza Euzébio D. , Lima II Eduardo José
Published: December 2019

Human mobility is the key element of everyday life, its reduction or loss deeply affects daily activities. In assisted rehabilitation, robotic devices have focuses on the biomechanics of motor control. However, biomechanics does not study the neurological and physiological processes related to normal gait. Biomimetics combined with biomechanics, can generate a more efficient stimulation of the motor cortex and the locomotor system. The highest efficiency obtained through torque generation models, based on the physiological response of muscles and bones to reaction forces, together with control techniques based on autonomic computation. An autonomic control algorithm has a self-adjusting behaviour, ensuring patient safety and robot operation without the continuous monitoring of the physiotherapist. Thus, this work will identify the elements that characterize the physiological stimuli related to normal human gait, focusing on the ankle joint, aiming the development of biomimetic algorithms for robots for rehabilitation of the lower limbs.
Robot Task Planning in Deterministic and Probabilistic Conditions Using Semantic Knowledge Base
Authors: Al-Moadhen Ahmed Abdulhadi , Packianather Michael S. , Setchi Rossitza , Qiu Renxi
Published: December 2019

A new method is proposed to increase the reliability of generating symbolic plans by extending the Semantic-Knowledge Based (SKB) plan generation to take into account the amount of information and uncertainty related to existing objects, their types and properties, as well as their relationships with each other. This approach constructs plans by depending on probabilistic values which are derived from learning statistical relational models such as Markov Logic Networks (MLN). An MLN module is established for probabilistic learning and inference together with semantic information to provide a basis for plausible learning and reasoning services in support of robot task-planning. The MLN module is constructed by using an algorithm to transform the knowledge stored in SKB to types, predicates and formulas which represent the main building block for this module. Following this, the semantic domain knowledge is used to derive implicit expectations of world states and the effects of the action which is nominated for insertion into the task plan. The expectations are matched with MLN output.
Impact of Swarm Intelligence Techniques in Diabetes Disease Risk Prediction
Authors: Mishra Sushruta , Mishra Brojo Kishore , Sahoo Soumya , Panda Bijayalaxmi
Published: December 2019

Diabetes has affected over 246 million people worldwide and by 2025 it is expected to rise to over 380 million. With the rise of information technology and its continued advent into the medical and healthcare sector, different symptoms of diabetes are being documented. The techniques inspired from the distributed collective behavior of social colonies have shown worth and excellence in dealing with complex optimization problems and are becoming more popular nowadays. It can be used as an effective problem solving tool for identifying diabetes disease risks. This paper aims at finding solutions to diagnose the disease by analyzing the patterns found in data through various swarm optimization techniques by employing Support Vector Machines and Naïve Bayes algorithms. It proposes a quicker and more efficient technique of diagnosing the disease, leading to timely treatment of the patients.
A Survey to Nature Inspired Soft Computing
Authors: Kumar Deepak , Kumar Sushil , Bansal Rohit , Singla Parveen
Published: December 2019

This article describes how swarm intelligence (SI) and bio-inspired techniques shape in-vogue topics in the advancements of the latest algorithms. These algorithms can work on the basis of SI, using physical, chemical and biological frameworks. The authors can name these algorithms as SI-based, inspired by biology, physics and chemistry as per the basic concept behind the particular algorithm. A couple of calculations have ended up being exceptionally effective and consequently have turned out to be the mainstream devices for taking care of real-world issues. In this article, the reason for this survey is to show a moderately complete list of the considerable number of algorithms in order to boost research in these algorithms. This article discusses Ant Colony Optimization (ACO), the Cuckoo Search, the Firefly Algorithm, Particle Swarm Optimization and Genetic Algorithms in detail. For ACO a real-time problem, known as Travelling Salesman Problem, is considered while for other algorithms a min-sphere problem is considered, which is well known for comparison of swarm techniques.
Navigation Path Detection for Cotton Field Operator Robot Based on Horizontal Spline Segmentation
Authors: Li Dongchen , Xu Shengyong , Zheng Yuezhi , Qi Changgui , Yao Pengjiao
Published: December 2019

Visual navigation is one of the fundamental techniques of intelligent cotton-picking robot. Cotton field composition is complex and the presence of occlusion and illumination makes it hard to accurately identify furrows so as to extract the navigation line. In this paper, a new field navigation path extraction method based on horizontal spline segmentation is presented. Firstly, the color image in RGB color space is pre-processed by the OTSU threshold algorithm to segment the binary image of the furrow. The cotton field image components are divided into four categories: furrow (ingredients include land, wilted leaves, etc.), cotton fiber, other organs of cotton and the outside area or obstructions. By using the significant differences in hue and value of the HSV model, the authors segment the threshold by two steps. Firstly, they segment cotton wool in the S channel, and then segment the furrow in the V channel in the area outside the cotton wool area. In addition, morphological processing is needed to filter out small noise area. Secondly, the horizontal spline is used to segment the binary image. The authors detect the connected domains in the horizontal splines, and merger the isolate small areas caused by the cotton wool or light spots in the nearby big connected domains so as to get connected domain of the furrow. Thirdly, they make the center of the bottom of the image as the starting point, and successively select the candidate point from the midpoint of the connected domain, according to the principle that the distance between adjacent navigation line candidate is smaller. Finally, the authors count the number of the connected domains and calculate the change of parameters of boundary line of the connected domain to make sure whether the robot reaches the outside of the field or encounters obstacles. If there is no anomaly, the navigation path is fitted by the navigation points using the least squares method. Experiments prove that this method is accurate and effective, which is suitable for visual navigation in the complex environment of a cotton field in different phases.
Communication Improvement and Traffic Control Based on V2I in Smart City Framework
Authors: Rath Mamata , Pati Bibudhendu
Published: December 2019

This article describes how soft computing techniques are tolerant of imprecision, intended on approximation, focus on uncertainty and are based on partial truth. Current real-world problems pertaining to congested traffic is pervasively imprecise and therefore design of smart traffic control system is a challenging issue. Due to the increasing rate of vehicles at traffic points in smart cities, it creates unexpected delays during transit, chances of accidents are higher, unnecessary fuel consumption is an issue, and unhygienic environment due to pollution also degrades the health condition of general people in a normal city scenario. To avoid such problems many smart cities are currently implementing improved traffic control systems that work on the principle of traffic automation to prevent these issues. The basic challenge lies in the usage of real-time analytics performed with online traffic information and correctly applying it to some traffic flow. In this research article, an enhanced traffic management system called SCICS (Soft Computing based Intelligent Communication System) has been proposed which uses swarm intelligence as a soft computing technique with intelligent communication between smart vehicles and traffic points using the vehicle to infrastructure (V2I) concept of VANET. It uses an improved route diversion mechanism with implemented logic in nanorobots. Under a vehicular ad-hoc network (VANET) scenario, the communication between intelligent vehicles and infrastructure points takes place through nanorobots in a collaborative way. Simulation carried out using Ns2 simulator shows encouraging results in terms of better performance to control the traffic.
VirtualCareGiver
Authors: Tokunaga Seiki , Tamamizu Kazunari , Saiki Sachio , Nakamura Masahide , Yasuda Kiyoshi
Published: December 2019

Many care robots have received a lot of attention to help elderly people, however existing care robots have difficult to adapt personalization. For instance, some programmers have to customize robot program to meet needs of individual. In this paper, the authors' goal is design and develop care robot which provides personalization for an individual elderly people with an efficient and reasonable way. Their proposed service consists of three essential components; VirtualCareGiver (VCG), VirtualCarePersonalizer (VCP) and CareTemplate. VCG is a robot agent, which provides a personalization and integration for each elderly people. The VCG is offered care tasks based on care template which VCP generates. VCP provides adaptation for individual elderly on the cloud. The authors also conduct an experimental evaluation to demonstrate the feasibility with actual 11 subjects in a day care center. As a result, both font size and voice volume are especially contributed for the subjects.
A Hybrid System to Support the Psychological Intervention for Children With Autism
Authors: Robles-Bykbaev Vladimir , Galán-Mena Jorge Andrés , López-Nores Martín , Robles-Bykbaev Yaroslava , Cornejo-Reyes Javier , Quisi-Peralta Diego , Pazos-Arias José Juan , Lima-Juma Diego , León-Wong Verónica Cevallos
Published: December 2019

The World Health Organization (WHO) claims that 1 in 160 children present an Autism Spectrum Disorder (ASD). However, the real estimation in low- and middle-income countries can be higher and currently is so far unknown. In many Latin American countries, it is essential to develop intelligent tools that can provide support during the psychological diagnosis and intervention of children with ASD. To this aim, this article presents an approach that models the most relevant elements of rehabilitation/educational activities for children with ASD and discuss how to support them through robotic assistants, mobile applications and Multi-Sensory Stimulation Environments (MSEE). The authors tested the proposed system in four different real scenarios: the perception of 47 children without ASD concerning the robotic assistant, the feasibility of using ontology-based reasoning to select therapeutic activities, the opinion of 9 experts on ASD regarding the MSSE and the perception of 36 children with ASD about the robotic assistant.
A Survey of Computational Intelligence Algorithms and Their Applications
Authors: Bouarara Hadj Ahmed
Published: December 2019

This chapter subscribes in the framework of an analytical study about the computational intelligence algorithms. These algorithms are numerous and can be classified in two great families: evolutionary algorithms (genetic algorithms, genetic programming, evolutionary strategy, differential evolutionary, paddy field algorithm) and swarm optimization algorithms (particle swarm optimisation PSO, ant colony optimization (ACO), bacteria foraging optimisation, wolf colony algorithm, fireworks algorithm, bat algorithm, cockroaches colony algorithm, social spiders algorithm, cuckoo search algorithm, wasp swarm optimisation, mosquito optimisation algorithm). We have detailed each algorithm following a structured organization (the origin of the algorithm, the inspiration source, the summary, and the general process). This paper is the fruit of many years of research in the form of synthesis which groups the contributions proposed by various researchers in this field. It can be the starting point for the designing and modelling new algorithms or improving existing algorithms.
Emotional State Recognition Using Facial Expression, Voice, and Physiological Signal
Authors: Djara Tahirou , Ousmane Abdoul Matine , Vianou Antoine
Published: December 2019

Emotion recognition is an important aspect of affective computing, one of whose aims is the study and development of behavioral and emotional interaction between human and machine. In this context, another important point concerns acquisition devices and signal processing tools which lead to an estimation of the emotional state of the user. This article presents a survey about concepts around emotion, multimodality in recognition, physiological activities and emotional induction, methods and tools for acquisition and signal processing with a focus on processing algorithm and their degree of reliability.
Hadoop Paradigm for Satellite Environmental Big Data Processing
Authors: Semlali Badr-Eddine Boudriki , El Amrani Chaker , Ortiz Guadalupe
Published: December 2019

The important growth of industrial, transport, and agriculture activities, has not led only to the air quality and climate changes issues, but also to the increase of the potential natural disasters. The emission of harmful gases, particularly: the Vertical Column Density (VCD) of CO, SO2 and NOx, is one of the major factors causing the aforementioned environmental problems. Our research aims to contribute finding solution to this hazardous phenomenon, by using remote sensing (RS) techniques to monitor air quality which may help decision makers. However, RS data is not easy to manage, because of their huge amount, high complexity, variety, and velocity, Thus, our manuscript explains the different aspects of the used satellite data. Furthermore, this article has proven that RS data could be regarded as big data. Accordingly, we have adopted the Hadoop big data architecture and explained how to process efficiently RS environmental data.
Prediction of Rice Yield via Stacked LSTM
Authors: Meng Xiangyan , Liu Muyan , Wu Qiufeng
Published: December 2019

In order to guarantee the rice yield more effectively, the prediction of rice yield should be taken into account. Because the rice yield every year can be seen as a sequence of time series, many methods applied in prediction of time series can be considered. Long Short-Term Memory recurrent neural network (LSTM) is one of the most popular methods of time series prediction. In consideration of its own characteristics and the popularity of deep learning, an improved LSTM architecture called Stacked LSTM which has multiple layers is proposed in this article. It is based on the idea of increasing the depth of LSTM. The comparison among the Stacked LSTM architectures which have different numbers of LSTM layers and other methods including ARIMA, GRU, and ANN has been carried out on the data of rice yield in Heilongjiang Province, China, from 1980 to 2017. The results showed the superior performance of Stacked LSTM and the effectiveness of increasing the depth of LSTM.
Measuring Digital Marketing Performance
Authors: Fatin Tasnia , Rahman Nayem
Published: December 2019

Ever since its inception in the early 1990s, digital marketing has received significant attention as marketing strategies in industry and academia. The advent of the Internet and related information technologies has initiated the new marketing framework for business and business-related strategies. Companies have been taking significant actions to switch from traditional marketing to digital marketing strategies. Even then, the marketing performance measurement practices in this field are reported to be less developed. This article is an attempt to examine digital marketing media and its campaigns and provide a framework to measure the performance of digital marketing. To measure the performance of digital marketing campaigns, the article uses the balanced scorecard approach devised by Kaplan and Norton. In this article, descriptive comprehension is provided on the measurement of digital marketing performance. The measurement incorporates four perspectives such as customer, business value, internal processes, and growth and innovation. The outcome of this work may help managers and researchers gain insights into the theoretical and practical strategic characteristics of digital marketing and its performance measurement.
ArghCompetence Recognition and Self-Concept of Employees on Motivation and its Impact
Authors: Usman Irwan , Maupa Haris , Haerani Sitti , Taba Muhammad Idrus
Published: December 2019

The purpose of this study is to investigate and determine the recognition of employee competence in companies in Eastern Indonesia. This study used a causal-quantitative design with positivism paradigm. This study was conducted at PT Vale Indonesia, PT Freeport Indonesia and PT Newmont (PT Amman Mineral) which apply BNSP certificate of competence. This study was conducted for three months. The population in this study were the employees of PT Vale Indonesia, PT Freeport Indonesia and PT Newmont (PT Amman Mineral) with a total of 3.424 employees. The sample of this research was 400 employees. The sampling technique used was the systematic random sampling. There is a positive and significant effect between competence acknowledgment and the self-concept on the intrinsic motivation. The intrinsic motivation variable is the variable that mediates the effect of competence acknowledgment and self-concept on job satisfaction. Job satisfaction has a positive and significant effect on employee performance.
SBASH Stack Based Allocation of Sheer Window Architecture for Real Time Stream Data Processing
Authors: Lal Devesh Kumar , Suman Ugrasen
Published: December 2019

The processing of real-time data streams is complex with large number of volume and variety. The volume and variety of data streams enhances a number of processing units to run in real time. The required number of processing units used for processing data streams are lowered by using a windowing mechanism. Therefore, the appropriate size of window selection is vital for stream data processing. The coarse size window will directly affect the overall processing time. On the other hand, a finely sized window has to deal with an increased number of management costs. In order to manage such streams of data, we have proposed a SBASH architecture, which can be helpful for determining a unipartite size of a sheer window. The sheer window reduces the overall latency of data stream processing by a certain extent. The time complexity to process such sheer window is equivalent to w log n w. These windows are allocated and retrieved in a stack-based manner, where stacks ≥ n, which is helpful in reducing the number of comparisons made during retrieval.
Commercial Banks' Digital Paradigm and Customers Responses in the UAE
Authors: Jumaa Muhammad
Published: December 2019

One of the central factors influencing the banks in the UAE is the changing needs and perceptions of the customers towards digital banking services. With this significance, the researcher made an attempt to study commercial banks' digital paradigm and customer's responses. Based on this, the volume of business and the customer's top 11 banks were identified for the study. For collecting data from the respondents pretested scheduled questionnaire was used. In order to finalize the number of samples the researcher calculated standard deviation and found the sample size was 350. Collected data was analyzed by the researcher to know the impact of digital banking services and the customer responses. The researcher has done an inferential analysis followed by descriptive analysis. This analyst recognized factors, which were embraced amid the examination included; privacy, reliability, technology, convenience, security, and satisfaction. Among every one of the elements, innovation and accommodation reflected negative connection thinking about negative effect by and large consumer loyalty.
Towards an Agent-Oriented Business Collaboration Model
Authors: Musumba George Wamamu , Wario Ruth Diko , Wamuyu Patrick Kanyi
Published: December 2019

Business collaborations have gained prominence in many domains mediated by information technology platforms. These collaborations, normally referred to as virtual enterprises (VEs) consider varying core competencies of participants. The VEs' dynamic nature requires participants to be dynamically selected and engaged. This requires a flexible systematic approach, lacking in existing literature, to handle varying forms of VEs. This study aims to consider a VE from an enterprise integration viewpoint and to develop an agent-based model that supports the VE's formation and operation phases. This model will provide support to business managers in making decisions efficiently by delegating part of the processes to software agents. An agent-based VE (ABVE) model prototype is developed. Case studies from various domains are used in the demonstration of the model's applicability and possible generalization. After evaluation it is shown that users are motivated to use the model as an effective tool for VE formation and collaborations in diverse domains with an 88.86% acceptance rate.
Review Aware Recommender System
Authors: Lahlou Fatima Zahra , Benbrahim Houda , Kassou Ismail
Published: December 2019

Context aware recommender systems (CARS) are recommender systems (RS) that provide recommendations according to user contexts. The first challenge for building such a system is to get the contextual information. Some works tried to get this information from reviews provided by users in addition to their ratings. However, all of these works perform important feature engineering in order to infer the context. In this article, the authors present a new CARS architecture that allows to automatically use contextual information from reviews without requiring any feature engineering. Moreover, they develop a new CARS algorithm that is tailored to textual contexts, that they call Textual Context Aware Factorization Machines (TCAFM). An empirical evaluation shows that the proposed architecture allows to significantly improve recommendation accuracy using state of the art RS and CARS algorithms, whereas TCAFM leads to additional improvements.
Current Development of Ontology-Based Context Modeling
Authors: Zemmouchi-Ghomari Leila
Published: December 2019

Any information used to characterize the situation of an entity: a person, a place, or an object, can be considered as context. Indeed, context is crucial to avoid semantic ambiguity in data interpretation. However, linking data to its context is a recognized research issue. Adopting an ontology-based approach to model formally the context enables automatic interpretation and reasoning capabilities. This article discusses the main context modeling approaches based ontology by highlighting their principles, scenarios, use cases, benefits, and challenges to explore the use of ontologies to represent contexts.
A New Algorithm on Application of Blockchain Technology in Live Stream Video Transmissions and Telecommunications
Authors: Khalaf Osamah Ibrahim , Abdulsahib Ghaida Muttashar , Kasmaei Hamed Daei , Ogudo Kingsley A.
Published: December 2019

This article develops and defines Blockchain technology in its classic format. New suggested proposed algorithms are then analyzed in order to introduce new and modified versions of Blockchain technology. After that, fundamental infrastructure is presented in order to represent its application in new generation of telecommunications. In addition, this article interrogates these algorithms and their efficiency to make secure connections that transfer data packets in any format (boxes or packets of information) in a secure and encrypted method at which sender and receiver of information remain anonymous. Then, this research describes applications of the novel approach in new format of making live stream technology in real world communications. Moreover, according to this new approach, new concepts can be predicted in the new generation of social media based on live communications. Meanwhile, the compatibility is justified for consistency, reliability and flexibility of this new proposed technology with other existing and defined format of technology in today's world. At last, conclusions of this new emerging technology and its superiority compared to other designed technologies in the field of live streaming and telecommunications are discussed.
Information Systems Workforce and Innovative Work Behavior
Authors: Jamil Saqib , Yukongdi Vimolwan
Published: December 2019

This research examined the mediating role of affective trust along with the moderating role of supervisor–subordinate guanxi on the relationship between innovative work behavior and participatory management. Utilizing data gathered from information workforce consisting of 333 employees in addition to 38 leaders of six firms operating in China, the research affirms that trust mediated the relationship between innovative work behavior and participatory management. This study concludes that a strong relation between participatory management and innovative work behavior exists provided high-quality supervisor–subordinate guanxi is present among employees. The findings and implications for this research are discussed at the end.
Professional Skill Enrichment in Higher Education Institutions
Authors: Mukerji Siran , Tripathi Purnendu , Anjana Anjana
Published: December 2019

The present study concentrates on assessing the ongoing method of capacity building of teachers in higher education institutions of India. It has been conceptualized with the objective of making a comprehensive study of the prevailing techniques of capacity building and skill enrichment for the teachers in higher education institutions of the country; determining the adequacy and effectiveness of these techniques in capacity building and enhancing the skill and competency of the human resources; and finally, suggesting ways of making the techniques more objective and purposeful besides what other measures can be implemented for improving the present system. The study reveals that there is a need for making an assessment of specific teachers' needs while designing subject specific training programmes that should be offered using modular approach and by incorporating latest developments in the concerned disciplines. Capacity building programmes must include IT-based competency enhancement modules offered through massive open online courses (MOOCs) and specialized certification courses.
Paisagens de arrozais: discursos de (i)migrantes sobre o cultivo do arroz em Joinville (SC)
Authors: Duarte Alanna Fernandes , Carelli Mariluci Neis , Meira Roberta Barros
Published: December 2019

Este artigo objetiva analisar discursos produzidos sobre práticas do cultivo do arroz na paisagem de Joinville (SC). Paisagens do arroz podem ser consideradas como expressão do trabalho dos homens sobre a terra; elas modificam a natureza e representam identidades culturais de diferentes grupos ao longo do tempo. Em Joinville, discursos sobre os arrozais têm sido relacionados à memória italiana e repercutido pelos processos migratórios de rizicultores no século XX, no bairro Vila Nova. Contudo, em diálogo com fontes históricas, podem ser reconhecidas práticas e paisagens de cultivo do arroz em Joinville desde o século XIX.
Fotografia e cultura visual nas ditaduras latino-americanas (1960-1980)
Authors: Monteiro Charles , Etcheverry Carolina Martins
Published: December 2019

Este artigo tem por objetivo analisar o campo fotográfico que se formou entre os anos 1960 e 1980 na América Latina, em específico no Brasil, na Argentina e no Chile, no período em que esses países estavam mergulhados em seus respectivos governos militares, bem como realizar uma revisão crítica da literatura sobre o assunto. Procuramos, em um primeiro momento, tratar do que ficou conhecido como “plano condor da comunicação”, ou seja, procuramos entender como os governos se utilizaram das fotografias para ratificar suas ações e fortalecer sua imagem. Em seguida, abordaremos a oposição a essas políticas oficiais a partir de diversas estratégias elaboradas pelos fotógrafos, em especial a criação de agências de fotografia. Por fim, procuraremos analisar a questão do trauma representado pelos regimes de exceção em sua relação com a fotografia e a memória através da obra do artista chileno Elías Adasme.
Mecanismos jurídicos e repressão política do Estado, durante a ditadura militar brasileira: o caso do IPM 745 no Paraná e o desrespeito aos direitos individuais
Authors: Brunelo Leandro , Priori Angelo
Published: December 2019

O objetivo deste artigo foi compreender como o Estado se apropriou de dispositivos legais para legitimar as suas ações punitivas e jurídicas contra a oposição política, em especial, os militantes do Partido Comunista Brasileiro (PCB) no Paraná em 1975, quando foram presos e indiciados pelo Inquérito Policial-Militar 745 (IPM 745), que apurou o envolvimento dos comunistas na suposta reorganização do partido no Estado. Além do IPM, também utilizamos como fonte de pesquisa o Relatório Especial de Informações 1/75 que destacou a importância dos trabalhos da polícia política efetuados no Estado, a fim de conter o avanço do comunismo.
A trajetória dos primeiros embates do Movimento Pró-Participação Popular na Constituinte — MPPC (1985-1988): afetos e temores na “transição política”
Authors: Paese Neves Ozias
Published: December 2019

Este artigo investiga algumas tensões que atravessam o período inserido nos anos 1980 no Brasil conhecido como o Momento Constituinte (1985-1988). Analisa a trajetória e atuação do Movimento pró-Participação Popular na Constituinte (MPPC), a partir de fontes como as cartilhas de diferentes atores do período, sem esgotar o assunto. Exercita como ferramental teórico-metodológico um olhar sobre afetos, expectativas e temores externados nas fontes (Ansart), assinala o conflito discursivo e as disputas políticas numa época conhecida no país como “de transição” e que representou a passagem entre a Ditadura Militar para um regime em democratização.
A Ação Popular (AP) nos processos judiciais reunidos pelo Projeto “Brasil: Nunca Mais”
Authors: Dias Reginaldo Benedito
Published: December 2019

O objetivo deste artigo é debater temas do universo dos processos judiciais patrocinados pelo Estado brasileiro após a instauração da ditadura civil-militar de 1964, conduzidos sob a tutela da Justiça Militar, que atingiram a organização revolucionária Ação Popular (AP), uma das mais representativas do campo político da esquerda brasileira nas décadas de 1960 e 1970. A análise utiliza a documentação sistematizada pelo projeto “Brasil: nunca mais”. Para alcançar tal objetivo, porém, a investigação vai além do exame do que está sistematizado nos processos jurídicos, pois os fatos ali narrados eram submetidos ao filtro do que poderia estar contido nos processos. Além disso, há um leque de personagens atingidos com detenção, tortura, morte e desaparecimento que sequer foram submetidos ao universo judicial. Entende-se que os fatos extrajudiciais informam, mais completamente, o sentido da “Justiça” praticada pelo Estado brasileiro naqueles anos.
Joint Work of Cement Concrete and Composite Reinforcement with Periodic Profile Winding
Authors: Fedosov S.V. , Roumyantseva Varvara E. , Konovalova Victoria S. , Narmaniya B.E.
Published: December 2019

A study of the joint work of cement concrete and material winding fiberglass composite reinforcement with different types of coatings and types of windings was conducted. The type of periodic profile winding is presented, which increases the adhesion of the material of glass fiber reinforcement winding with cement concrete. It has been established that the winding of the periodic profile improves the strength properties of the composite reinforcement material. The influence of aggressive media on the adhesion of fiberglass rods with different types of surface preparation from cement concrete is estimated.
To the Question of the Cement-Polymer Composite Materials’ Rheological Properties
Authors: Onoprienko N.N.
Published: December 2019

The domestic and foreign production polymers effects studies’ results on the cement-polymer test rheological indicators are analyzed, taking into account the composition of the functional groups of water-soluble polymers and the viscosity of their one-percent aqueous solution. The rheological studies’ results of the Yunis Granit bonding material for fixing the large-format slabs of natural stone and porcelain are presented. The Ostwald, Bingham and Barkley-Herschel equations are considered to describe the flow of pseudoplastic, viscoelastic and rheological complex bodies and their disadvantages. The formula for calculating the rheological parameters: the flowability and the dilution coefficient of nonlinear visco-plastic bodies is proposed and verified. It is shown that the proposed formula describes the structural-mechanical properties of nonlinear visco-plastic systems with a high correlation coefficient.
The Clinker Minerals Effect on the Cement Hardening Kinetic Constants
Authors: Rakhimbaev Shark M. , Anikanova Tatiana V. , Rakhimbaev Igor S. , Pogromsky Alexey S.
Published: December 2019

The work is devoted to the study of the relationship between the individual clinker minerals content, the stone compressive strength in different periods of hardening and the binders kinetic hardening constants. It is shown that C3S and C2S affect the cements’ kinetic hardening constants in the early and long-term periods in different ways. There is a positive effect of C2S on the ultimate compressive strength and a sharp decrease in the dependence of the stone ultimate strength on C3S in the later periods. The initial hardening rate in high-cement cement is established to increase sharply with an increase in the C3A content from 5 to 12%. The increase in the C3A content up to 12% in low-cement cement has little effect on the initial hardening rate value.
Fire Resistance Evaluation of Pressed Straw Building Envelopes
Authors: Ovsyannikov Sergey I. , Dyachenko Vladislav Yurevich
Published: December 2019

Ecological construction has a tendency to increase. One of its directions is the straw bale-house. The safety of such buildings is based on increasing the fire resistance of pressed straw panels. In order to increase the fire resistance of such panels, they are plastered with a clay-lime mixture, treated with flame retardants and antipyrenes. The protective equipment effect on the fire resistance is not fully understood. Therefore, the work considers evaluation issues of the fire resistance in pressed straw building envelopes, depending on the plaster layer thickness, the straw pressing density and the flame retardants treatment. The study found that with a panel thickness of 450 mm, the straw density in the range of 110-140 kg/m3, clay plaster thickness of 30 mm ensure integrity, insulating and load-carrying capacity. The temperature on the panel rear side did not exceed 67 °C. The pressed straw density has almost no effect on the panel fire resistance. Antipyrenes treatment improves flammability from 18% to 37-42% that makes it possible to classify the samples as hardly combustible materials.
Improving the Efficiency and Safety in the Technology of Lime and Silicate Materials
Authors: Khomchenko Yurii V. , Semeykin Alexandr Yu.
Published: December 2019

This article is devoted to the description of methods for improving the efficiency and production of autoclaved materials and lime, as well as an increase in safety in their production. The basis of the proposed technical and technological methods is a new method for the production of autoclaved materials. As part of the scientific work on improving the quality of autoclaved products, an additive (copper sulphate) was found, which makes it possible to slow down the lime hydration time in the binder for several hours, which makes it possible to apply the mechanical activation of lime-silica binder with wet grinding and improve working conditions in the workplace.
Structure Formation Features of Non-Autoclaved Gas Concrete Matrix on the Basis of Composite Binders with Various Mineral Additives
Authors: Absimetov Michail V. , Elistratkin Mikhail Yurievich , Ageeva Marina S.
Published: December 2019

One of the effective ways to reduce the material consumption of structures, to save all types of resources due to this, is the transition to porous constructional materials instead of traditional dense materials. In this regard, non-autoclaved gas concrete is of great interest. This material has a high manufacturability and has a good potential for improving the strength properties due to the replacement of traditional portland cement by special composite binders. Available publications confirm the effectiveness and prospects of this direction. An important disadvantage of such works is the fact that the binder indicators and the final cellular concrete characteristics are considered mainly independently. In our opinion, it is more correct to consider at least two structure-forming processes proceeding in parallel and sequentially at different scale levels. Micro level is a stone structure formation based on the composite binder; macro-level is a gas porization of cellular mass concrete. These processes have a great mutual influence on each other, and therefore this article attempts to observe the gassing products effect on the stone hardening based on composite binders, as well as the composite binder makeup on the viscosity change of the molding compound, as an important condition for the formation of high-quality less defective pore structure of cellular concrete.
Study of the Carbonate Component Raw Material Mixture Effect on the Clinker Grindability
Authors: Novoselov Alexey G. , Ershova Yulia I. , Novoselova Inna N. , Klassen V.K.
Published: December 2019

The carbonate components effect of raw materials - chalk and limestone on the clinker properties has been determined. Studies have been carried out on the raw mix these components partial replacement with the Oskol electrometallurgical plant slag in the amount of 10 and 20%. The maximum decrease in the carbonate component amount was 10%. The grinding clinker individual stages, characterized by the material destruction certain processes have been analyzed. It has been established that by reducing the chalk content in the raw mix and replacing it with the Oskol electrometallurgical plant slag, the clinker grindability is improved. The duration of grinding of such clinker is reduced by 22%. A decrease in the limestone amount in the raw mix and an increase in the Oskol electrometallurgical plant slag content does not affect the synthesized clinkers grindability.
Thermodynamic Approach to Assessing the Curing of Protective and Decorative Coatings of Exterior Walls of Buildings
Authors: Loganina Valentina , Fediuk Roman
Published: December 2019

The values of the system energy change caused by the structure formation of coatings based on paints using mineral binders are given. It is established that the process of curing coatings can be described using the first law of thermodynamics and thermodynamic potential - enthalpy. The main regularities of changes in thermodynamic parameters in the process of curing coatings on cement concretes depending on the curing time, the porosity of the substrate is revealed. It has been established that, depending on the type of coatings, there is an unequal change in the energy of structure formation, which allows predetermining the different operational durability of coatings. It is shown that the smallest change in entropy during the curing process is characteristic of coatings on substrates characterized by lower surface porosity. The increase in entropy in the process of curing coatings on substrates with high porosity suggests that the coatings are characterized by a greater defectiveness and, consequently, a greater probability of their destruction during operation. The increase in the surface porosity of the cement substrate reduces the adhesion strength of the coatings and reduces its durability during exposure to the environment.