Operational Readiness Case Study for Accessibility and Mobility of Wells Real Time Centre System and Applications During Movement Control Order

2021 ◽  
Author(s):  
Mohd Ridzuan Hamid ◽  
Meor M. Meor Hashim ◽  
Lokman Norhashimi ◽  
Muhammad Faris Arriffin ◽  
Azlan Mohamad
Keyword(s):  
Real Time ◽  
Movement Control ◽  
Time Data ◽  
Work From Home ◽  
Global Pandemic ◽  
Machine Learning Applications ◽  
Full Capacity ◽  
Set Up ◽  
Control Order ◽  
Remote Operations

Abstract The recent global pandemic is an unprecedented event and took the world by storm. The Movement Control Order (MCO) issued by Malaysia's government to halt the spread of the deadly infection has changed the landscape of work via a flexible working arrangement. The Wells Real Time Centre (WRTC) is not an exception and is also subjected to the change. WRTC is an in-house proactive monitoring hub, built to handle massive real-time drilling data, to support and guide wells delivery effectiveness and excellence. The functionality of the WRTC system and applications are embedded in the wells delivery workflow. The centre houses drilling specialists who are responsible for observing the smooth sailing of well construction and are tasked to intervene when necessary to avoid any unintended incidents. WRTC is equipped with myriads of engineering applications and drilling software that are vital for the operations. Such applications include monitoring software, machine learning applications, engineering modules, real-time data acquisition, and database management. These applications are mostly cloud-based and Internet-facing, hence it is accessible and agile as an infrastructure that is ready to be deployed anytime anywhere when it is required. The strategy for WRTC mobility started as soon as the MCO was announced. This announcement mandated the WRTC to operate outside of the office and required the staff to work from home. The careful coordination and preparation to transform and adapt WRTC to a new norm was greatly assisted by the infrastructure readiness. All of these factors contributed greatly to a successful arrangement with zero to minimal downtime where a workstation was set up in each personnel's home, running at full capacity. This transformation was done within one day of the notice and completed within hours of activation. Despite the successful move, few rooms for improvements such as redundancy of VPN use to access applications and limited access to some proprietary software can be enhanced in the future. WRTC is ready to be mobile and agile to support the drilling operations remotely either in the office or from home. The quick turnaround is a major indicator that WRTC infrastructure and personnel are ready and capable for remote operations without interruption.

On the initial-state assimilation for limited-area air-quality forecasts

2020 ◽  
Author(s):  
Rostislav Kouznetsov ◽  
Mikhail Sofiev
Keyword(s):  
Air Quality ◽  
Real Time ◽  
Air Pollutant ◽  
Optimal Interpolation ◽  
Limited Area ◽  
Time Data ◽  
Initial State ◽  
Skill Scores ◽  
Forecast Lead Time ◽  
Set Up

<p>An ensemble of 9 regional Air Quality models is being run operationally within CAMS-50 project providing the 3D fields of air-pollutant distribution over Europe. The models are initialized from their previous-day's forecasts for 00Z and run for 4 days forward. The same models are used for near-real-time reanalysis of the previous day involving the air-quality observations to adjust the modelled  fields via data assimilation methods, such as 3D-var or optimal-interpolation procedures.  In this set-up the observed near-real-time data do not affect the forecasts.  Development of a method to improve the forecast quality by using the assimilated fields from the previous-day analysis is one of the goals for the CAMS-61 project.</p><p>As a prototype evaluation for this study, we made several tests with SILAM model (http://silam.fmi.fi) initializing the simulations from the assimilated or non-assimilated states and evaluated the evolution of the model skill scores along the forecast lead time. The tests were made for summer and winter seasons and for initialization time of 00Z vs 12Z.  In order to generalize the results, and make them independent on particular implementation of 3D-VAR in SILAM, the tests were made also with initialization from the analyses made with other CAMS-50 models.  That experiment utilized the list of species and vertical available in the CAMS-50 product catalog. </p><p>The results of the simulation corroborated with our earlier studies that showed a quite quick relaxation of the scores for runs initialized from analyses to the free-run state: with certain variability between the species, the runs converged to the free-run trajectory generally within several hours.  We also investigated the issues connected with initialization from the incomplete set of species and sparse vertical, which might make the scores of the forecast initialized from the incomplete assimilated model state being worse than the ones from the free-run model.</p><p> </p>

scholarly journals Consolidating Work From Home As The New Norms: Internal vs External Factors Among UiTM Staff

2021 ◽  
Vol 7 (1) ◽  
pp. 65
Author(s):  
Salmiwati Othman ◽  
Mahadir Ladisma Awis ◽  
Suhaimi Abdul Samad ◽  
Ainul Fadzilah Harun
Keyword(s):  
External Factor ◽  
Movement Control ◽  
Mean Value ◽  
External Factors ◽  
Internal Factor ◽  
Work From Home ◽  
Control Order ◽  
Internal And External Factors ◽  
Learning Institutions ◽  
Main Factor

In recent years, the focus on the challenges regarding work from home (WFH) has been escalating throughout the globe. In the context of Malaysia, seeing that this is an emergent issue, there are still limited studies conducted on the framework or model that promote the effectiveness of WFH. However, there are fundamental issues that need to be addressed, namely; (i) the accessibility and coverage; (ii) the acceptance level among the staff and (iii) the quality of productivity. This study outlines two main objectives, which are (i) to examine the internal factors; and (ii) the external factors that influence the staff while WFH during MCO. Thus, there is an increasing need to recognise the benefits and potential challenges towards assisting the human resource practitioners to be more effective in implementing the WFH (Nordin et al., 2016). This study was conducted among the staff of Universiti Teknologi MARA (UiTM) during the Movement Control Order (MCO) from 18 March till 9 June 2020. Based on the survey conducted among 17,541 staff (as per 31 Mac 2020), 1,320 staff volunteered to be involved in this survey. The data was analysed using the SPSS v26. In part, the analysis was carried out to ascertain the main challenges comprising of internal and external factors. From the internal factor, the findings showed that flexible working hour was found as the main factor; mean value of 4.10. Furthermore, for the external factor, the factor on the distraction due to other commitments such as parent/child caretaker and house chores was found as the main factor; mean value of 3.82. The findings of this study significantly contribute towards understanding the internal and external factors of WFH, and serve to measure the productiveness and the effectiveness of WFH from the viewpoint of higher learning institutions.     Keywords: work from home, staff experience, internal factor, external factor, movement control order  

scholarly journals The Role of Zakat Institution in Facing Covid-19

2020 ◽  
pp. 119-126
Author(s):  
Hambari Hambari ◽  
Arif Ali Arif ◽  
Muntaha Artalim Zaim
Keyword(s):  
Movement Control ◽  
Ordinary People ◽  
Global Pandemic ◽  
Islamic Jurisprudence ◽  
Social Fund ◽  
The Government ◽  
Control Order ◽  
In The Beginning ◽  
Analytical Approaches

In the beginning of 2020, the Coronavirus (Covid 19) appeared, which attacks humans and quickly turns into a global pandemic. Covid-19 has resulted in multidimensional crises such as health, economic, social, and lifestyle crises. Many people in different countries face difficulties in life. Therefore, Zakat as an Islamic social fund has a role in overcoming this crisis, by providing assistance to the communities which is directly affected by the crisis. This study aims to examine the role of Zakat in this crisis from the perspective of Islamic jurisprudence and its application in the zakat institution by taking the case of the Federal Territory Islamic Council (MAIWP) that has done various programmers in helping people who are directly affected by the crisis. This study uses two methods including inductive and analytical approaches to achieve its objectives. Among the most important results of the study: Zakat distribution programs conducted by Baitulmal-MAIWP for zakat beneficiaries affected by Covid-19, was to help ease the burden on ordinary people following the implementation of Movement Control Order (MCO) by the government due to the spread of the Covid-19 pandemic. This program is named “Bantuan Zakat Kecemasan Covid-19” (Zakat Emergency Aid Covid-19) or #MusaadahCovid19MAIWP.

scholarly journals HYBRIDJOIN for Near-Real-Time Data Warehousing

2011 ◽  
Vol 7 (4) ◽  
pp. 21-42 ◽  
Author(s):  
M. Asif Naeem ◽  
Gillian Dobbie ◽  
Gerald Weber
Keyword(s):  
Real Time ◽  
Data Stream ◽  
Time Integration ◽  
Synthetic Data ◽  
Performance Measurements ◽  
Time Data ◽  
Join Algorithm ◽  
Real Time Data ◽  
Set Up ◽  
Nested Loop

An important component of near-real-time data warehouses is the near-real-time integration layer. One important element in near-real-time data integration is the join of a continuous input data stream with a disk-based relation. For high-throughput streams, stream-based algorithms, such as Mesh Join (MESHJOIN), can be used. However, in MESHJOIN the performance of the algorithm is inversely proportional to the size of disk-based relation. The Index Nested Loop Join (INLJ) can be set up so that it processes stream input, and can deal with intermittences in the update stream but it has low throughput. This paper introduces a robust stream-based join algorithm called Hybrid Join (HYBRIDJOIN), which combines the two approaches. A theoretical result shows that HYBRIDJOIN is asymptotically as fast as the fastest of both algorithms. The authors present performance measurements of the implementation. In experiments using synthetic data based on a Zipfian distribution, HYBRIDJOIN performs significantly better for typical parameters of the Zipfian distribution, and in general performs in accordance with the theoretical model while the other two algorithms are unacceptably slow under different settings.

scholarly journals A Methodology for Heterogeneous Sensor Data Organization and Near Real-Time Data Sharing by Adopting OGC SWE Standards

2019 ◽  
Vol 8 (4) ◽  
pp. 167 ◽  
Author(s):  
Bartolomeo Ventura ◽  
Andrea Vianello ◽  
Daniel Frisinghelli ◽  
Mattia Rossi ◽  
Roberto Monsorno ◽  
...  
Keyword(s):  
Real Time ◽  
Sensor Data ◽  
Weather Data ◽  
Time Data ◽  
Heterogeneous Sensors ◽  
Heterogeneous Datasets ◽  
Real Time Data ◽  
Sensor Registration ◽  
Set Up ◽  
Minimum Interaction

Finding a solution to collect, analyze, and share, in near real-time, data acquired by heterogeneous sensors, such as traffic, air pollution, soil moisture, or weather data, represents a great challenge. This paper describes the solution developed at Eurac Research to automatically upload data, in near real-time, by adopting Open Geospatial Consortium (OGC) Sensor Web Enablement (SWE) standards to guarantee interoperability. We set up a methodology capable of ingesting heterogeneous datasets to automatize observation uploading and sensor registration, with minimum interaction required of the user. This solution has been successfully tested and applied in the Long Term (Socio-)Ecological Research (LT(S)ER) Matsch-Mazia initiative, and the code is accessible under the CC BY 4.0 license.

Design and Application of a Communication System Based on Codesys

2014 ◽  
Vol 1044-1045 ◽  
pp. 1113-1117 ◽  
Author(s):  
Jia Liu ◽  
Wei Ping Fu ◽  
Lei Zhou ◽  
Na Qie ◽  
Wen Yun Wang
Keyword(s):  
Real Time ◽  
Communication System ◽  
Data Exchange ◽  
Intelligent Robot ◽  
Real Time Control ◽  
Time Data ◽  
Time Control ◽  
Physical Channel ◽  
Soft Plc ◽  
Set Up

A model of wireless network data interchange was built to solve cross-platform exchange data in intelligent robot. In the framework of embedded Soft-PLC - Codesys real-time operating system, we apply Socket network programming technology based on TCP/IP communication protocol to set up a physical channel between VC++ platform and the Codesys platform. It realizes the real-time data exchange between host-computer and slave-computer uploaded embedded operation system of robot. A special multi-threaded processing class was developed to enhance the multi-tasking allocation ability of the system. Exchanged data was packaged and analyzed to ensure the accuracy of transmitted data. The experiment shows built communication system platform is justifiable, and data transmission speed is less than 10ms. It is able to meet the needs of real-time control in intelligent robot.

scholarly journals Empowerment of The Deprived Young Population for Sustainable Futures in The Post Pandemic Era: An Evidence from Malaysia

2021 ◽  
Vol 2 (1) ◽  
pp. 65-71
Author(s):  
Shereen Khan ◽  
Nasreen Khan ◽  
Olivia Tan
Keyword(s):  
Sustainable Development ◽  
Secondary Data ◽  
Movement Control ◽  
Young Population ◽  
Policy Makers ◽  
United Nations General ◽  
Global Pandemic ◽  
Development Goals ◽  
Control Order ◽  
Sustainable Futures

The 2030 Plan for Sustainable Development Goals (SDGs) was approved by the United Nations General Assembly in 2015 on the principle of “leaving no one behind” in order to achieve sustainable development for everyone. The global pandemic has forced a lot of people to become jobless and in fact the unemployment rate has been increasing since the outbreak of Covid-19 pandemic across the globe. Youths have not been spared from this especially youth from the deprived population. This article looks into how the deprived young population can be empowered especially during the post pandemic era. The objectives of this article are to investigate and examine the post covid-19 recovery plan for young population in Malaysia and other jurisdictions to ensure that they are not left behind in nation building for sustainable futures. The main objective is thus to recommend the best practices and policy to be implemented to empower the deprived young population in the post pandemic era. A comparative study was conducted by analysing the policies in Malaysia and other selected jurisdictions. This article is basically emphasized on the current situation in Malaysia and the research was limited to secondary data becaused of the movement control order implemented in Malaysia to curb the spread of global pandemic. The findings of this article is to contribute to the policy makers in their effort to empower the youths from deprived society. Young people including those from the deprived population are the hope of stable future of the country.

scholarly journals THE REDUCTION OF GREEN HOUSE GASES EGRESSIONS DUE TO COVID-19 AND THE ASCENT OF RENEWABLE ENERGY GENERATION IN MALAYSIA

2021 ◽  
Keyword(s):  
Greenhouse Gas ◽  
Movement Control ◽  
Infectious Agent ◽  
World Health ◽  
Global Pandemic ◽  
To Come ◽  
Control Order ◽  
Health Organization ◽  
Legal Guidelines ◽  
Renewable Energy Generation

The current global pandemic COVID-19 definitely left a relatively large forceful consequence on humanity's mortality rate and economical records present-day. As reported or stated by the World Health Organization (WHO), the infectious agent gives rise to extreme danger to the wellbeing of a certain prone to death group (elderly people specifically). Nonetheless, there are several dissensions deem to be the cause of the pathogen and its host. The virus has forced most countries to take action by using strict curfew legal guidelines and terminated most operations in industrial and entertainment centres. The objective of this detailed critical inspection is to exhibit the inherent capacity for coming into being effective consequences of the virus towards ecology together with extending inexhaustible free power source technology. Malaysia took measures against COVID-19 by carrying out Movement Control Order (MCO) earlier in March 2020. The enforcement having to do with the MCO implicates a decrease in the contamination percentage, specifically pollution of the atmosphere. The greenhouse gas (GHG) egression, which was once 8 Mt CO2 eq. dated 2020 beginning out of January until March, made less in amount or degree to less than 1 Mt CO2 eq. in April at the same time as May. This decrease in greenhouse gas emissions along with toxic gas permitted an increase of rays of the sun to come through photovoltaic panels, thus improving the infinite free energy technology in Malaysia.

A Critical Review on the Features of Management Information Systems: A Focus on Working from Home

2021 ◽  
Vol 12 (3) ◽  
pp. 1097-1101
Author(s):  
Muhammad Modi Lakulu Et.al
Keyword(s):  
Information System ◽  
Information Systems ◽  
Management Information System ◽  
Critical Review ◽  
Management Information Systems ◽  
Movement Control ◽  
Management Information ◽  
Work From Home ◽  
Essential Services ◽  
Control Order

This paper discusses the findings of a review on the current literature of the features of the Management Information System (MIS)that can help workers of organizationsto provide essential services from home during the Movement Control Order (MCO) in Malaysia. The findings of the review suggest that a sound IMS must have the necessary features to support reliable services from the standpoints of flexibility, efficiency, robustness, and security to ensure users can beserved promptly and uninterruptedly. To help realize such services, organizations must repurpose the functionalities of such systems to support work from home that provide users with accurate, up-to-date information at all time and any place.

scholarly journals HYBRIDJOIN for Near-Real-Time Data Warehousing

2013 ◽  
pp. 280-302
Author(s):  
M. Asif Naeem ◽  
Gillian Dobbie ◽  
Gerald Weber
Keyword(s):  
Real Time ◽  
Input Data ◽  
Time Integration ◽  
Synthetic Data ◽  
Performance Measurements ◽  
Time Data ◽  
Join Algorithm ◽  
Real Time Data ◽  
Set Up ◽  
Nested Loop

An important component of near-real-time data warehouses is the near-real-time integration layer. One important element in near-real-time data integration is the join of a continuous input data stream with a disk-based relation. For high-throughput streams, stream-based algorithms, such as Mesh Join (MESHJOIN), can be used. However, in MESHJOIN the performance of the algorithm is inversely proportional to the size of disk-based relation. The Index Nested Loop Join (INLJ) can be set up so that it processes stream input, and can deal with intermittences in the update stream but it has low throughput. This paper introduces a robust stream-based join algorithm called Hybrid Join (HYBRIDJOIN), which combines the two approaches. A theoretical result shows that HYBRIDJOIN is asymptotically as fast as the fastest of both algorithms. The authors present performance measurements of the implementation. In experiments using synthetic data based on a Zipfian distribution, HYBRIDJOIN performs significantly better for typical parameters of the Zipfian distribution, and in general performs in accordance with the theoretical model while the other two algorithms are unacceptably slow under different settings.

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