Action Based Integrated Tracking Approach to Foster the Collaboration and Achieve Operational Excellence

2021 ◽  
Author(s):  
Ayesha Ahmed Abdulla Salem Alsaeedi ◽  
Manar Maher Mohamed Elabrashy ◽  
Mohamed Ali Alzeyoudi ◽  
Mohamed Mubarak Albadi ◽  
Sandeep Soni ◽  
...  

Abstract In rapidly growing data-intensive workflow processes, one of the major challenges for engineers is to carry out the high-priority tasks aligned with the engineering and business needs of the organization. This paper presents an implementation methodology adopted to solve this problem and create a holistic action tracking system that is firmly integrated into the engineering practice and fosters improved communication within various engineering disciplines. The first step in creating the comprehensive action tracking workflow was to identify the engineering workflows that end with an actionable item. Afterward, a framework was created that integrates these action items with the corresponding workflow as per the organization structure active directory. Once these action items are created, the inbuilt reminder system notifies the user of the upcoming tasks based on the priority assigned to these items. The escalation mechanism also ensures that the manager gets a notification when actions passed the due date. Once the action items are closed, the action assignee and assigner both get a notification to close the action loop. One of the most significant benefits of such a process is that all the outcomes of the engineering workflows, such as the requirement to retest the well for production tests, allowable approval requirements, injection improvement recommendations, etc., are directly fed into the integrated action tracking mechanism. This way, the engineers do not need to use a separate system for assigning and tracking the actions. Once these actions are fed into an integrated action tracking system, the system maintains, expedites, and escalates the actions by itself. Another benefit realized by this action tracking system was that the organization structure was internally utilized within the online platform. Therefore, it helps in dynamically assigning the organization structure and creating an escalation item to the right person at the right time so that the integrity of the overall operation remains uncompromised. The business intelligence tool is integrated with the action tracking system to support monitoring and decision-making surveillance exercises of reservoir monitoring plans and allowable monitoring, for example, utilizing the inbuilt planning and performance dashboards. Another major objective achieved in this closed-loop action tracker was the improved system-based communication among various engineering disciplines as the actions are decided based on common business objectives and agreement within the digital platform One of the well-known gaps in modern production optimization solutions is integrating the engineering solutions with the actionable item. This system bridges this gap and provides a way forward for improved collaboration and fostering communication among various disciplines.

2020 ◽  
Vol 10 (1) ◽  
pp. 63-71
Author(s):  
Nurhaeda Abbas ◽  
Anggraini Sukmawati ◽  
Muhammad Syamsun

Today the performance measurement of Muhammadiyah Luwuk uUniversity’s performance has not formulated yet based on University’s vision and mission. It will affect the strategic steps needed and performance improvement efforts in the future.  Human resource scorecard is the right system to be applied in Muhammadiyah Luwuk University. The purpose of this study is to designed a performance measurement system at Muhammadiyah Luwuk University using the Human Resource Scorecard with four perspectives: stakeholder, academic management and kemuhammadiyaan, operational and innovation, as well as and learning. Data was analyzed by analytical hierarchy process method. This research was conducted by distributing questionnaires, focus group discussions and in-depth interview with stakeholders at Muhammadiyah Luwuk University. The results showed that there were 14 strategic objectives and 33 key performance indicators to be achieved by the priority objectives, which are: empowerment and development of faculty, increased administrative process quality, improved sound budget performance and, improvement of the relationship with stakeholders.


This work is to perceive the open space in the halting reach using PLC and SCADA. The rule target is to recognize the unfilled space and demonstrating the driver to a particular opening. This paper tries to layout and execute an electronic stopping region organization structure. Robotized Parking Lot Management System is a totally utilitarian and painstakingly controlled parking structure organization system that is executed with the usage and compromise of different electronic equipment and littler scale figuring. The layout incorporates assorted stages, from the rule unit; process is passed on to different subunits to achieve the target of full motorization. A moving toward auto will pass on (through the driver) remotely with the essential unit associated with the Parking Office Gate. The essential unit will check the transmitted access information and will pass control after affirmation to the gateway framework drivers, this in this way drives the right entryway control (either exit or segment unit). The system currently screens the development of the driver some time later, and for entry, as the driver moves a destined eparation into the workplace ,the system turns back the entryway segment (for finish of entryway) and passes control to the space part and organization unit. The objective of this later unit is to manage the parking spaces available in the package by watching the development of the automobiles inside, allocating the spaces in a precise manner, watching consistence what's more, prompt the general control center (watched out for) of the space(s) open. It has a show interface for talking with the customers of the workplace. There is in like manner a control center that is watched out for by work power and screens the activities inside the parking structure. It is educated regarding any development, space(s) open and moreover the general system can be shut down or changed on from the control center. The basic goal of this errand is to achieve full motorization and it will find snappy use in tremendous workplaces with different access restrictions, government properties, and school grounds to sectionalize educator's auto stop and understudy's auto stop, etc.


Author(s):  
Emanuela Gualdi-Russo ◽  
Natascia Rinaldo ◽  
Alba Pasini ◽  
Luciana Zaccagni

The aims of this study were to develop and validate an instrument to quantitatively assess the handedness of basketballers in basketball tasks (Basketball Handedness Inventory, BaHI) and to compare it with their handedness in daily activities by the Edinburgh Handedness Inventory (EHI). The participants were 111 basketballers and 40 controls. All subjects completed the EHI and only basketballers filled in the BaHI. To validate the BaHI, a voluntary subsample of basketballers repeated the BaHI. Exploratory and confirmatory factor analyses supported a two-factor model. Our results show that: (i) Handedness score (R) in daily actions did not differ between basketball players (R by EHI = 69.3 ± 44.6) and the control group (R by EHI = 64.5 ± 58.6); (ii) basketballers more frequently favored performing certain sport tasks with the left hand or mixed hands (as highlighted by R by BaHI = 50.1 ± 47.1), although their choice was primarily the right hand in everyday gestures; and (iii) this preference was especially true for athletes at the highest levels of performance (R by BaHI of A1 league = 38.6 ± 58.3) and for those playing in selected roles (point guard’s R = 29.4 ± 67.4). Our findings suggest that professional training induces handedness changes in basketball tasks. The BaHI provides a valid and reliable measure of the skilled hand in basketball. This will allow coaches to assess mastery of the ball according to the hand used by the athlete in the different tasks and roles.


2021 ◽  
Vol 11 (3) ◽  
pp. 376
Author(s):  
Carmelo Mario Vicario ◽  
Gabriella Martino ◽  
Alex Marcuzzo ◽  
Giuseppe Craparo

Neuroscience research links alexithymia, the difficulty in identifying and describing feelings and emotions, with left hemisphere dominance and/or right hemisphere deficit. To provide behavioral evidence for this neuroscientific hypothesis, we explored the relationship between alexithymia and performance in a line bisection task, a standard method for evaluating visuospatial processing in relation to right hemisphere functioning. We enrolled 222 healthy participants who completed a version of the 20-item Toronto Alexithymia Scale (TAS-20), which measures alexithymia, and were asked to mark (bisect) the center of a 10-cm horizontal segment. The results document a significant rightward shift in the center of the line in participants with borderline and manifest alexithymia compared with non-alexithymic individuals. The higher the TAS-20 score, the greater the rightward shift in the line bisection task. This finding supports the right hemisphere deficit hypothesis in alexithymia and suggests that visuospatial abnormalities may be an important component of this mental condition.


Electronics ◽  
2021 ◽  
Vol 10 (12) ◽  
pp. 1471
Author(s):  
Jun-Yeong Lee ◽  
Moon-Hyun Kim ◽  
Syed Asif Raza Raza Shah ◽  
Sang-Un Ahn ◽  
Heejun Yoon ◽  
...  

Data are important and ever growing in data-intensive scientific environments. Such research data growth requires data storage systems that play pivotal roles in data management and analysis for scientific discoveries. Redundant Array of Independent Disks (RAID), a well-known storage technology combining multiple disks into a single large logical volume, has been widely used for the purpose of data redundancy and performance improvement. However, this requires RAID-capable hardware or software to build up a RAID-enabled disk array. In addition, it is difficult to scale up the RAID-based storage. In order to mitigate such a problem, many distributed file systems have been developed and are being actively used in various environments, especially in data-intensive computing facilities, where a tremendous amount of data have to be handled. In this study, we investigated and benchmarked various distributed file systems, such as Ceph, GlusterFS, Lustre and EOS for data-intensive environments. In our experiment, we configured the distributed file systems under a Reliable Array of Independent Nodes (RAIN) structure and a Filesystem in Userspace (FUSE) environment. Our results identify the characteristics of each file system that affect the read and write performance depending on the features of data, which have to be considered in data-intensive computing environments.


2021 ◽  
Author(s):  
Tianyun Yuan ◽  
Yu (Wolf) Song ◽  
Gerald A. Kraan ◽  
Richard H. M. Goossens

Abstract Measuring the motion of human hand joints is a challenging task due to the high number of DOFs. In this study, we proposed a low-cost hand tracking system built on action cameras and ArUco markers to measure finger joint rotation angles. The lens distortion of each camera was corrected first via intra-calibration and the videos of different cameras were aligned to the reference camera using a dynamic time warping based method. Two methods were proposed and implemented for extracting the rotation angles of finger joints: one is based on the 3D positions of the markers via inter-calibration between cameras, named pos-based method; the other one is based on the relative marker orientation information from individual cameras, named rot-based method. An experiment was conducted to evaluate the effectiveness of the proposed system. The right hand of a volunteer was included in this practical study, where the movement of the fingers was recorded and the finger rotation angles were calculated with the two proposed methods, respectively. The results indicated that although using the rot-based method may collect less data than using the pos-based method, it was more stable and reliable. Therefore, the rot-based method is recommended for measuring finger joint rotation in practical setups.


2020 ◽  
Author(s):  
◽  
Ronny Bazan Antequera

[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI-COLUMBIA AT REQUEST OF AUTHOR.] The increase of data-intensive applications in science and engineering fields (i.e., bioinformatics, cybermanufacturing) demand the use of high-performance computing resources. However, data-intensive applications' local resources usually present limited capacity and availability due to sizable upfront costs. Moreover, using remote public resources presents constraints at the private edge network domain. Specifically, mis-configured network policies cause bottlenecks due to the other application cross-traffic attempting to use shared networking resources. Additionally, selecting the right remote resources can be cumbersome especially for those users who are interested in the application execution considering nonfunctional requirements such as performance, security and cost. The data-intensive applications have recurrent deployments and similar infrastructure requirements that can be addressed by creating templates. In this thesis, we handle applications requirements through intelligent resource 'abstractions' coupled with 'reusable' approaches that save time and effort in deploying new cloud architectures. Specifically, we design a novel custom template middleware that can retrieve blue prints of resource configuration, technical/policy information, and benchmarks of workflow performance to facilitate repeatable/reusable resource composition. The middleware considers hybrid-recommendation methodology (Online and offline recommendation) to leverage a catalog to rapidly check custom template solution correctness before/during resource consumption. Further, it prescribes application adaptations by fostering effective social interactions during the application's scaling stages. Based on the above approach, we organize the thesis contributions under two main thrusts: (i) Custom Templates for Cloud Networking for Data-intensive Applications: This involves scheduling transit selection, engineering at the campus-edge based upon real-time policy control. Our solution ensures prioritized application performance delivery for multi-tenant traffic profiles from a diverse set of actual data intensive applications in bioinformatics. (ii) Custom Templates for Cloud Computing for Data-intensive Applications: This involves recommending cloud resources for data-intensive applications based on a custom template catalog. We develop a novel expert system approach that is implemented as a middleware to abstracts data-intensive application requirements for custom templates composition. We uniquely consider heterogeneous cloud resources selection for the deployment of cloud architectures for real data-intensive applications in cybermanufacturing.


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