Using a Single Group Experimental Study to Underpin the Importance of Human-in-the-Loop in a Smart Manufacturing Environment

2022 ◽  
pp. 375-384
Author(s):  
J. Coetzer ◽  
R. B. Kuriakose ◽  
H. J. Vermaak ◽  
G. Nel
Keyword(s):  
Experimental Study ◽  
Smart Manufacturing ◽  
Single Group ◽  
Manufacturing Environment ◽  
Human In The Loop

scholarly journals Middleware Application, Suitable to Build an Automated and Connected Smart Manufacturing Environment

2021 ◽  
Author(s):  
Muzaffar Rao ◽  
Thomas Newe
Keyword(s):  
Mobile Robots ◽  
Industry 4.0 ◽  
Manufacturing Systems ◽  
Smart Manufacturing ◽  
Manufacturing Execution System ◽  
Manufacturing Environment ◽  
Industrial Internet ◽  
A Cell ◽  
Smart Industry ◽  
Manufacturing Execution

The current manufacturing transformation is represented by using different terms like; Industry 4.0, smart manufacturing, Industrial Internet of Things (IIoTs), and the Model-Based enterprise. This transformation involves integrated and collaborative manufacturing systems. These manufacturing systems should meet the demands changing in real-time in the smart factory environment. Here, this manufacturing transformation is represented by the term ‘Smart Manufacturing’. Smart manufacturing can optimize the manufacturing process using different technologies like IoT, Analytics, Manufacturing Intelligence, Cloud, Supplier Platforms, and Manufacturing Execution System (MES). In the cell-based manufacturing environment of the smart industry, the best way to transfer the goods between cells is through automation (mobile robots). That is why automation is the core of the smart industry i.e. industry 4.0. In a smart industrial environment, mobile-robots can safely operate with repeatability; also can take decisions based on detailed production sequences defined by Manufacturing Execution System (MES). This work focuses on the development of a middleware application using LabVIEW for mobile-robots, in a cell-based manufacturing environment. This application works as middleware to connect mobile robots with the MES system.

An Examination of Flow Regimes Associated With Inkjet-Printed Colloidal Drops

2008 ◽  
Author(s):  
Vadim Bromberg ◽  
Sailee Gawande ◽  
Ying Sun ◽  
Timothy Singler
Keyword(s):  
Experimental Study ◽  
Radial Flow ◽  
Internal Flow ◽  
Flow Regimes ◽  
Solid Substrate ◽  
Marangoni Flow ◽  
Single Group ◽  
Evaporation Dynamics

An experimental study of the evaporation dynamics for an inkjet-printed drop on a solid substrate has been attempted. Using fluorescent spherical colloids, the internal flow of an evaporating drop has been observed directly. During the initial stages of the process, a novel inward radial flow carries the particles as a single group towards the center of the drop. Once the particles have converged near the center, a significantly slower outward radial flow proceeds. These flow regimes are qualitatively analyzed and their relationship to a possible thermal Marangoni flow is discussed.

scholarly journals Sensor-Based Real-Time Detection in Vulcanization Control Using Machine Learning and Pattern Clustering

Sensors ◽  
2018 ◽  
Vol 18 (9) ◽  
pp. 3123 ◽  
Author(s):  
Jonghyuk Kim ◽  
Hyunwoo Hwangbo
Keyword(s):  
Real Time ◽  
Chemical Properties ◽  
Innovation Process ◽  
Smart Manufacturing ◽  
Paradigm Shifts ◽  
Manufacturing Environment ◽  
Pattern Clustering ◽  
Sensing Technology ◽  
Input Variables ◽  
Manual Testing

Recent paradigm shifts in manufacturing have resulted from the need for a smart manufacturing environment. In this study, we developed a model to detect anomalous signs in advance and embedded it in an existing programmable logic controller system. For this, we investigated the innovation process for smart manufacturing in the domain of synthetic rubber and its vulcanization process, as well as a real-time sensing technology. The results indicate that only analysis of the pattern of input variables can lead to significant results without the generation of target variables through manual testing of chemical properties. We have also made a practical contribution to the realization of a smart manufacturing environment by building cloud-based infrastructure and models for the pre-detection of defects.

Immediate Effect of Acupuncture on Performance in the Drop Jump Task: A Single-Group Pretest–Posttest Experimental Study

2020 ◽  
Vol 36 ◽  
pp. 101120
Author(s):  
I-Lin Wang ◽  
Yi-Ming Chen ◽  
Yu-Hong Jiang ◽  
Jun Wang ◽  
Wan-Chun Chiu ◽  
...  
Keyword(s):  
Experimental Study ◽  
Drop Jump ◽  
Single Group

scholarly journals EFFECTIVENESS OF INTEGRATED TEACHING MODULE ON COGNITIVE DOMAIN AMONG NURSING STUDENTS- A PRE EXPERIMENTAL STUDY

2021 ◽  
pp. 1-3
Author(s):  
Chaithanya Valsalan ◽  
Pooja Jayan Nair
Keyword(s):  
Experimental Study ◽  
Nursing Students ◽  
Quantitative Research ◽  
Cognitive Domain ◽  
P Value ◽  
Research Approach ◽  
Single Group ◽  
Inferential Statistics ◽  
Teaching Module ◽  
Medical Surgical Nursing

The meaning of the term integration is coordination of different activities. Over the years, the subjects under the curriculum for the under graduate's students was taught separately. The study was planned to integrate three subjects namely Medical Surgical Nursing, Pathology and Pharmacology together for better understanding and relevant learning. The research approach for this study was quantitative research approach. A Pre experimental Single group pretest posttest design was used. Total 30 students were enrolled in the study. Pretest was conducted followed by introducing integrated teaching module and Posttest after the completion of the Module. Opinionnaire was obtained from the participants. Result was analyzed using inferential statistics. The calculated t value 6.07 is greater than the table t value of 2.756 which is statistically signicant at p value <0.001. This indicates that the integrated teaching can be used to improve the cognitive domain of the students.

scholarly journals AMRTA-X: Grasp Kinematic Analysis during Myoelectric Prehension Orthosis and Body Powered Prehension Orthosis's Usage on Brachial Plexus Injury Patients

2021 ◽  
Vol 57 (1) ◽  
pp. 27
Author(s):  
Khrisna Adi Pinardi Fundhi
Keyword(s):  
Experimental Study ◽  
Angular Velocity ◽  
Brachial Plexus ◽  
Brachial Plexus Injury ◽  
Index Finger ◽  
Kinematic Parameter ◽  
Joint Motion ◽  
Single Group ◽  
Post Test ◽  
Pip Joint

Brachial Plexus Injury (BPI) results in decreased motor function in upper extremity and leads to reduced hand grasping movement. Orthotic prehension is designed to create artificial grasp movements in paralyzed hand. This study was to compare grasp kinematic improvement between body powered and myoelectric prehension orthosis usage in patients with BPI. This study was a single group without control and post test with experimental study. The subjects of the study (n = 11) were brachial plexus injury patients with non-functional hand strength. Joint motion and angular velocity of metacarpophalangeal (MCP) and proximal interphalangeal (PIP) joint of index finger were evaluated. There was an improvement in joint motion and angular velocity after both orthosis usage. Joint motion in MCP and PIP, Angular velocity in MCP were not significantly different between myoelectric and body powered and myoelectric prehension orthosis usage. PIP angular velocity improvement were better after body powered prehension orthosis usage (p= 0.03).In conclusion, body powered and myolectric prehension orthosis usage improved kinematic parameter of index finger’s MCP and PIP joint. PIP angular velocity was better after body powered prehension orthosis usage.

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