Showing posts with label mechanical engineering journals impact factor. Show all posts
Showing posts with label mechanical engineering journals impact factor. Show all posts

Monday, 1 July 2019

Insight Virtual Humanoid Robotics Modeling: the Ultimate Level 0f Artificial Intelligence (ARME) - Lupinepublishers

Insight Virtual Humanoid Robotics Modeling: the Ultimate Level 0f Artificial Intelligence by Sadique Shaikh in ARME in Lupine Publishers
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.


Monday, 17 June 2019

Introducing Deep Mind Learning Modeling (ARME) - Lupine Publishers

Introducing DeepMind Learning Modeling by Sadique Shaikh in ARME in Lupine Publishers
Since 2010 Google & Uber researchers and engineers are engaged in DeepMind project with registered company in UK and USA. DeepMind. Google used to “Deep reinforcement learning” to implement DeepMind technology. We can see the results of DeepMind learning with live examples of Google Assistance, Google Echo- Smart Speaker and Google home assistance, Google AI-God and AI Church, Amazon Alexa, Amazon echo, Apple Siri. Google is one the strong player in DeepMind learning technology but two major players also Amazon and Apple after Google. This technology brings next wave in future about to 2029 but also spoiling human ethics when AI became more then of human intelligence. This short communication discussed fundamental aspect related to DeepMind
designing and engineering with the help of model. 


https://lupinepublishers.com/robotics-mechanical-engineering-journal/fulltext/introducing-deepmind-learning-modeling.ID.000101.php


For more Lupine Publishers Open Access Journals Please visit our website: https://www.lupinepublishers.com/
 

Monday, 11 March 2019

Robotics Journal Ranking -#ARME -#Lupinepublishers


 
I was started my research only with one thinking “How we feel and understand sadness or happiness of others, why our eyes sometime filled with tears, when we see others crying or sad, why we cheer up when we see others happy, why we bless others, why we care for others, why we become sad when we watch sad seen in movies, why we motivate when we watch something exciting and meaningful in movies, why, why and why?” these are the big questions front of us. My common answer which support to all these questions is “when situation is common between two or more than two people they completely understand each other, because their brains neurons handling same situation. Some time may be feelings for other because of past common situation of us is the present situation of someone or may be some time we think if that situation on me what I would do. Hence common situation either good or bad doesn’t matter but common situation people show strong feelings about each other with respecting emotions and feelings of each other’s and this is because “common situation setup brain-to-brain link between people through which they understand feelings and emotions of each other [1].
For more Lupine Publishers Open Access Journals Please visit our website
For more automation engineering books articles Please Click 

Automation Engineering Articles- #ARME -#LupinePublishers






Experimental Identification of the Liquor Preheating Process in a Plant Complex by Deynier Montero Góngora in Advances in Robotics & Mechanical Engineering in Lupine Publishers

The experimental identification of the liquor preheating process that links the plant complex: Neutral-Leaching-Sulfides, with the scoop of knowing the dynamics of the process for its better study and understanding. It explains the fundamental techniques and methods of identification as well as the input signal to excite the system. The experiments that were carried out are described, the mathematical model obtained is validated and the controller parameters are simulated to optimize the control of the liquor level in the preheating tank.

https://lupinepublishers.com/robotics-mechanical-engineering-journal/abstracts/experimental-identification-of-the-liquor-preheating-process-in-a-plant-complex.ID.000112.php
https://lupinepublishers.com/robotics-mechanical-engineering-journal/pdf/ARME.MS.ID.000112.pdf
https://lupinepublishers.com/robotics-mechanical-engineering-journal/fulltext/experimental-identification-of-the-liquor-preheating-process-in-a-plant-complex.ID.000112.php

For more Lupine Publishers Open Access Journals Please visit our website
For more automation engineering articles Please Click 

Friday, 8 March 2019

Mechanical Engineering Journals Impact Factor-#ARME-#Lupinepublishers








There  is  presented  the  author’s  mini  Review  of  the  realized  theoretical   investigation   of   the   Multi   (n=6)-component   Mass  Transfer (MMT) kinetics of the process inside the modern combined sorption “Nano-Composite” (NC) materials. The visual NC examples considered  in  the  author’s  manuscripts  may  be  represented  by  the   selective   bi-functional   NC   as   the   “Metal 0-Ion   Exchangers (IEx)”  planar  NC  L-membrane  matrix  where  the  inner  active  zero charged  “NP 0-nano-sites”  (i.e.  Nano  Particles,  Me 0-agglomerates) are imbedded into the final combined NC-IEx sorption matrix resulting after the preliminary synthesis of the final NC L-matrix considered. The computer simulation for the modelling of the MMT NC  kinetics  is  based  here  on  the  foundations  of  the  irreversible  thermodynamics   such   as   multi(n)-component   mass   balance n (6)-Eqns.  in  partial  differentials  characterized  fundamentally  by  the new k (2) (6)-“thermodynamic  variance”  (k-parameter).  

For more Lupine Publishers Open Access Journals Please visit our website
For more automation engineering books articles Please Click 
 

Tuesday, 5 March 2019






Productivity is a key factor for companies manufacturing parts and sets to the automotive industry. Automation plays an important role in this matter, allowing development of entire manufacturing cells without the direct need of workers. Even in countries where the labour cost is relatively low, it becomes necessary to improve the level of automation applied to manufacture cells and reduce the dependence of the human labour unpredictability, also increasing the quality and reducing the costs. This case study was developed based on an industrial request in order to improve a semi-automatic cell devoted to seat suspension mat manufacturing. The original cell allows several automatic operations but it needs two workers for two specific operations not considered in the initial design. Thus, new concepts of wire feeding and manipulation were developed in order to allow a better material flow throughout the cell. The new cell was designed and built with success, allowing obtain a fully-automated system, which leads to a better productivity and reliability of the manufacturing process.



For more Lupine Publishers Open Access Journals Please visit our website
For more Robotics & Automation Engineering Journal articles Please Click