{"title":"Blockchain in Robotic Distributed Multi-Level Systems","authors":"A. Beskopylny, A. Lysenko, Evgenii Garanin","doi":"10.32474/ARME.2018.01.000116","DOIUrl":"https://doi.org/10.32474/ARME.2018.01.000116","url":null,"abstract":"In recent years, blockchain technologies have become widely used not only in financial markets and cryptocurrency systems but also in many others. Many practical Blockchain applications in intelligent transport systems, building information models in civil engineering, internet of things, energy systems and others make it possible to unveil unprecedented abilities to create and transfer valuable information. The survey presenting IoT security solutions published in [1] shows the potential for blockchain technology in facilitating secure sharing of IoT datasets and securing IoT systems. A new concept for a distributed space transportation system was proposed and a similar decentralized cooperative control scheme was investigated in [2]. A systematic control architecture that includes information flow of homogeneous space robots transporting a large object in orbit is developed. Largescale application of the Internet of Things technology requires improvement of security problems and formation of an integrated security system, for example, banking, logistics, insurance, contract law, and others. Some IoT environments where blockchain mechanisms play an essential role were considered in [3]. The useful application of blockchain technology in distributed decentralized energy systems (DES) is given in [4]. Blockchain allows DES to play an important role in energy services, such as meeting the business needs of energy producers and consumers, providing an entirely controlled and secure energy monitoring platform. The use of the Blockchain for secure, intelligent vehicle communication that can be used to track vehicle-generated data was proposed in [5]. A decentralized control algorithm for the robots to accomplish the comprehensive coverage was offered in [6].","PeriodicalId":203129,"journal":{"name":"Advances in Robotics & Mechanical Engineering","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124106147","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Defining “Feeling Leadership” For New Leadership Practice in Modern Management","authors":"Md. Sadique Shaikh, S. Khan","doi":"10.32474/ARME.2018.01.000114","DOIUrl":"https://doi.org/10.32474/ARME.2018.01.000114","url":null,"abstract":"Above model is developed with the intention to understand the role of Mirror Neurons in Feelings Leadership with the help of MNs density in Business leader’s brain which make their leadership patterns more and more personable. After several social psychological reviews and practice I came to conclude this model. If density of MN found low in the people who are leaders, they observed generally emotionless and feelings less and unable to understand others or some time due to high level of ego don’t want to understand others. Hence leadership patterns in such human beings “Autocratic” and most dictate leaders. Where as if MNs density average situation slightly different, people who has average density found they have feelings and emotion for others but not so strong and the leadership pattern of such a leaders democratic but not personable/feelings leadership. This happen only when MNs density very high in people who are leaders, due to high density of MNs leader link his/her brain with the brains of their subordinates/team members and with tracing/scanning their brains completely understand emotions and feelings of others and lead according to it without hurting business organization [2]. Traits Model of Feelings Leadership","PeriodicalId":203129,"journal":{"name":"Advances in Robotics & Mechanical Engineering","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114553103","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Maze Search Using Reinforcement Learning by a Mobile Robot","authors":"M. Katoh, Keiichi Tanaka, Shunsuke Shikichi","doi":"10.32474/ARME.2018.01.000110","DOIUrl":"https://doi.org/10.32474/ARME.2018.01.000110","url":null,"abstract":"In robots which has begun to spread to not only industrial world but also general home, e.g. cleaning robots etc., recently achievement of complex tasks and adaptation of complex environment has been required and can be done by agents which were concept of distributed artificial intelligent and caught abstractly various robots. Conventionally, as behavior of agents has been controlled by rules designed as if then rules, a lot of rules were required for adaptation to complex environment and achievement of complex tasks. Then, in fact, it is impossible that human designers design an individual rule of each environment.","PeriodicalId":203129,"journal":{"name":"Advances in Robotics & Mechanical Engineering","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114690923","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Insight into Bio Inspired Robotics","authors":"Sadique Shaikh, Tanvir Begum","doi":"10.32474/ARME.2018.01.000111","DOIUrl":"https://doi.org/10.32474/ARME.2018.01.000111","url":null,"abstract":"I am trying to understand whole family of Biology and Synthetic Biology inspired robotics through this piece of communication. Broadly with assuming their sub categories in them I would like classify bio inspired robotics in to five major heads are Cyborg, Cylons, Soft robotics, Continuum robotics, Plantoids and Nanobots. Where Soft robots and Plantoids are quite new and interesting domains of new future of AI in many forms with advanced features. This opinion gives in your notice all about them.","PeriodicalId":203129,"journal":{"name":"Advances in Robotics & Mechanical Engineering","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123052940","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Use of Latest Robots for Autism Spectrum Disorder","authors":"Sara Ali, Y. Ayaz, Muhammad Jawad Khan","doi":"10.32474/ARME.2018.01.000108","DOIUrl":"https://doi.org/10.32474/ARME.2018.01.000108","url":null,"abstract":"One of the prominent applications of robots is in assistive therapy using humanoids. Robots are now playing a vital role in our lives as assistants, therapist, companions and much more. Autism Spectrum Disorder (ASD) affects the communication skills and social cues of a person considerably. Recently efforts have been made in the development of communicational, behavioral, motor movements, joint attention and physical behavior of the children suffering from ASD using the humanoid robots. The therapies based on interactive interventions using robots for ASD have proved to be a favorable tool for improving the behavior of children with ASD. There are different ways to identify and improve the behavior in ASD child e.g. psychologists’ sessions, computer vision based bio markers like joint attention measurement and gait analysis, and robot assisted therapies using Autism Observation Scale for Infants (AOSI). In particular the area of robotics is helping a lot in the treatment of ASD as the robot acts as a mediator as well as measures the response of an autistic child.","PeriodicalId":203129,"journal":{"name":"Advances in Robotics & Mechanical Engineering","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122239578","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Thermodynamics of Irreversible Process, Computerized Animated Visualization for Multi Component Mass Transport Sorption Problems in Nanocomposites","authors":"A. Kalinitchev","doi":"10.32474/ARME.2018.01.000109","DOIUrl":"https://doi.org/10.32474/ARME.2018.01.000109","url":null,"abstract":"","PeriodicalId":203129,"journal":{"name":"Advances in Robotics & Mechanical Engineering","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127872692","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Insight Looks to Soft (Continuum) Robotics","authors":"Sadique Shaikh, Tanvir Begum","doi":"10.32474/ARME.2018.01.000106","DOIUrl":"https://doi.org/10.32474/ARME.2018.01.000106","url":null,"abstract":"Soft Robotics is emerging fresh sub field in Robotics which is very useful in medical, industry, space exploration, deep sea exploration, Nano-robotics and many more likewise applications. The major benefit of Soft Robots as compare to Rigid Robots their excellent flexibility and adaptability to accomplish task. Before to move further I would like to state Soft or Continuum Robots first “Soft Robots are small, medium and big shapes various biological or non-biological body forms robots which are made up using ultra soft and flexible materials, where materials are engineered using Continuum Mechanics and Kinematics†. The big difference between conventional rigid robots and soft robots, in rigid robotics intelligence engineered using AI only to control robotics body, but in soft robotics the materials using which robots has made themselves smart and has intelligence, sensations and actuations. Therefore, Soft Robots can also learn from surrounding environment in self mode as well as has greater flexibility in clutching, climbing, moving, defending etc.","PeriodicalId":203129,"journal":{"name":"Advances in Robotics & Mechanical Engineering","volume":"125 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121534713","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Insight Virtual Humanoid Robotics Modeling: the Ultimate Level 0f Artificial Intelligence","authors":"Sadique Shaikh, Shabeena Khan","doi":"10.32474/ARME.2018.01.000105","DOIUrl":"https://doi.org/10.32474/ARME.2018.01.000105","url":null,"abstract":"bstract I have no doubt to state Virtual Humanoid Robots (VHRs) are the ultimate level of Artificial Intelligence which change the scenario of world and human technologies, it would be applicable in all domains of technology with common factor Ultra Artificial Intelligence (UAI) with disappear and appear ability by any means which boost to our civilization from Type-0 to type-1 civilization at least and would be first step to compete with Aliens technology, if exist (hypothesis only). I would like to define term Virtual Humanoid Robotics (VHR) as “it’s Humanoid Robotics with UAI and has ability to transform from Physical to Virtual by any Internal (Humanoid Self-Control) or External (Human-Control) mode activation mechanism†. VHR is future technology which will use energy from Sun (or Space), Internet of Things (IoT) with RFID USN, Bigdata and Self-learning and healing mechanism. Now I would like to generate future utopia front of your eyes with initial modeling to coined term VHR in this short communication.","PeriodicalId":203129,"journal":{"name":"Advances in Robotics & Mechanical Engineering","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124579751","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Shristi Bharti, S. Priyanka, Chinmay Bhushan, Shahrukh Javed
{"title":"Processing and Analysis of Large-Scale Seismic Signal in Hadoop Platform","authors":"Shristi Bharti, S. Priyanka, Chinmay Bhushan, Shahrukh Javed","doi":"10.32474/ARME.2018.01.000103","DOIUrl":"https://doi.org/10.32474/ARME.2018.01.000103","url":null,"abstract":"Seismic data are the data extracted from the digital readings of seismic waves. Seismic waves are similar to the recorded echoes what we make on the top of rigged cliff. The only difference is that these seismic waves propagate downwards. In our modern society, information increases in high speed and a large amount of data resides on cloud platform. Over 1/3rd of total digital data are produced yearly which needs to be processed and analyzed. Hugelive digital data like seismic data, where even a small amount of information impacts greatly to human life has to be analyzed and processed to obtain more valuable information [1]. Thus, Hadoop ecological system comes into picture, which is easy to develop & process applications of mass data, has high fault tolerance nature, being developed on java platform and an open source, and ensures deployment of system [2].","PeriodicalId":203129,"journal":{"name":"Advances in Robotics & Mechanical Engineering","volume":"94 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129041291","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}