MintM: the start-up transforming businesses real-time

2021 ◽  
pp. 1-22
Author(s):  
Mayuree Sengupta
Keyword(s):  
Real Time ◽  
Start Up

scholarly journals The Clubhouse Phenomenon: Do We Need Another Social Network?

2021 ◽  
Author(s):  
Wadim Strielkowski
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Social Networking ◽  
Real Time ◽  
Group Psychotherapy ◽  
Text Messages ◽  
Online Video ◽  
Conference Call ◽  
Start Up ◽  
Further Development

Being a combination of the conference call, talkback radio, audio podcast, and an online video chat, Clubhouse is a new social networking app that gained over 10 million users and over $100 in valuation in just 8 months. Unlike other social networks, it offers a real-time streaming audio chat that does not ask users to share any unnecessary information like exchanging text messages, conducting video calls, or sharing photos. Instead, Clubhouse users can listen to real-time conversations, contribute to these conversations and create their own conversations for the others to listen and to interact with. Often nicknamed a “Silicon Valley’s hottest start-up”, Clubhouse positions itself as an “exclusive” and “alternative” social network that attracts various celebrities and people who just want to talk to each other. Launched in March 2020, amidst the COVID-19 pandemic with its social distancing and lockdowns, Clubhouse offered its users a space for the digital group psychotherapy where people could solve their problems by talking them through with strangers. However, it is unclear what is going to happen to this new social network in the post-pandemic world after all of its hype eventually evaporates. This paper discusses the possible underlying motives for the Clubhouse creation and its real purposes. Moreover, it looks at the three possible scenarios of its further development.

Real-Time Water Injection Monitoring with Distributed Fiber Optics Using Physics-Informed Machine Learning

2021 ◽  
Author(s):  
Teymur Sadigov ◽  
Cagri Cerrahoglu ◽  
James Ramsay ◽  
Laurence Burchell ◽  
Sean Cavalero ◽  
...  
Keyword(s):  
Machine Learning ◽  
High Resolution ◽  
Real Time ◽  
Fiber Optics ◽  
Water Injection ◽  
The Real ◽  
Start Up ◽  
Naturally Fractured ◽  
Monitoring Application ◽  
Time Injection

Abstract This paper introduces a novel technique that allows real-time injection monitoring with distributed fiber optics using physics-informed machine learning methods and presents results from Clair Ridge asset where a cloud-based, real-time application is deployed. Clair Ridge is a structural high comprising of naturally fractured Devonian to Carboniferous continental sandstones, with a significantly naturally fractured ridge area. The fractured nature of the reservoir lends itself to permanent deployment of Distributed Fiber Optic Sensing (DFOS) to enable real-time injection monitoring to maximise recovery from the field. In addition to their default limitations, such as providing a snapshot measurement and disturbing the natural well flow with up and down flowing passes, wireline-conveyed production logs (PL) are also unable to provide a high-resolution profile of the water injection along the reservoir due to the completion type. DFOS offers unique surveillance capability when permanently installed along the reservoir interface and continuously providing injection profiles with full visibility along the reservoir section without the need for an intervention. The real-time injection monitoring application uses both distributed acoustic and temperature sensing (DAS & DTS) and is based on physics-informed machine learning models. It is now running and available to all asset users on the cloud. So far, the application has generated high-resolution injection profiles over a dozen multi-rate injection periods automatically and the results are cross-checked against the profiles from the warmback analyses that were also generated automatically as part of the same application. The real-time monitoring insights have been effectively applied to provide significant business value using the capability for start-up optimization to manage and improve injection conformance, monitor fractured formations and caprock monitoring.

Navigating Organisation in Times of VUCA: Implications for the HR and OD Profession

2019 ◽  
Vol 12 (2) ◽  
pp. 145-150
Author(s):  
Vasudevan Alasingachar
Keyword(s):  
Experiential Learning ◽  
Real Time ◽  
New Age ◽  
The Real ◽  
The Past ◽  
Formative Stage ◽  
Start Up ◽  
The Future ◽  
Specific Learning

This article addresses two vectors of VUCA interwoven in the narratives, a summary of personal theories about VUCA. Such theories are anchored and arise from experiential learning in my practice as HR/L&D and OD consultants over the past four decades. The implication for HR and OD profession is to consider their relevance when organisations navigate VUCA. Next is the culling out of the specific learning about HR and OD interphases that has worked in my experience, supported by examples and metaphors. The premise I put forward as conclusion are: In order to be at the centre stage of partnering with business, HR and OD have to complement and innovate new-age VUCA strategies. VUCA competencies with appropriate metrics are in the formative stage. The competencies are emerging from the real-time stories of consultants, companies and academia (TATA 26/11 and DuPont safety mandate). Only when HR and OD integrate and work together can the future of leadership or start-up entrepreneurs learn from their insights to ‘thrive in VUCA’.

scholarly journals Risk-Limiting Real-Time Economic Dispatch in a Power System with Flexibility Resources

Energies ◽  
2019 ◽  
Vol 12 (16) ◽  
pp. 3133 ◽  
Author(s):  
Hongji Lin ◽  
Chongyu Wang ◽  
Fushuan Wen ◽  
Chung-Li Tseng ◽  
Jiahua Hu ◽  
...  
Keyword(s):  
Power System ◽  
Real Time ◽  
Value At Risk ◽  
Renewable Energy Sources ◽  
Economic Dispatch ◽  
Conditional Value At Risk ◽  
Operational Flexibility ◽  
Practical Applications ◽  
Start Up ◽  
The Impact

The integration of numerous intermittent renewable energy sources (IRESs) poses challenges to the power supply-demand balance due to the inherent intermittent and uncertain power outputs of IRESs, which requires higher operational flexibility of the power system. The deployment of flexible ramping products (FRPs) provides a new alternative to accommodate the high penetration of IRESs. Given this background, a bi-level risk-limiting real-time unit commitment/real-time economic dispatch model considering FRPs provided by different flexibility resources is proposed. In the proposed model, the objective is to maximize the social surplus while minimizing the operational risk, quantified using the concept of conditional value-at-risk (CVaR). Energy and ramping capabilities of conventional generating units during the start-up or shut-down processes are considered, while meeting the constraints including unit start-up/shut-down trajectories and ramping up/down rates in consecutive time periods. The Karush–Kuhn–Tucker (KKT) optimality conditions are then used to convert the bi-level programming problem into a single-level one, which can be directly solved after linearization. The modified IEEE 14-bus power system is employed to demonstrate the proposed method, and the role of FRPs in enhancing the system flexibility and improving the accommodation capability for IRESs is illustrated in some operation scenarios of the sample system. The impact of the confidence level in CVaR on the system operational flexibility is also investigated through case studies. Finally, a case study is conducted on a regional power system in Guangdong Province, China to demonstrate the potential of the proposed method for practical applications.

Real-time process dynamics monitoring in Anammox reactors

2014 ◽  
Vol 70 (2) ◽  
pp. 183-191 ◽  
Author(s):  
B. Alpaslan Kocamemi ◽  
D. Dityapak
Keyword(s):  
Real Time ◽  
Batch Reactors ◽  
Sequencing Batch Reactors ◽  
Process Dynamics ◽  
Oxidation Reduction ◽  
Oxidation Reduction Potential ◽  
Start Up ◽  
Reliable Monitoring ◽  
Phase Conductivity ◽  
Break Points

Process dynamics in Anammox systems were evaluated through continuous monitoring of pH, oxidation reduction potential (ORP) and conductivity in two separate newly started-up sequencing batch reactors, one seeded with an enriched Anammox sludge and the other seeded with mixed activated sludge. The pH and ORP profiles exhibited characteristic patterns depending on the process dynamics during early start-up, start-up and enrichment phases of the operational period of 410 days. The simultaneously continuing processes of the start-up period showed apparent indicative trend lines in pH and ORP profiles. Conductivity profiles were consistent with the process dynamics in all phases. During the enrichment phase, conductivity decreases could quantitatively be related to process removal efficiencies and all real-time profiles exhibited specific break-points which coincided with the end of Anammox in each cycle. The end of Anammox was observed as an ‘apex’ on pH profiles and a ‘valley’ on ORP profiles. The ‘apex’ and ‘valley’ points exactly coincided with the end point of the linear decrease in the conductivity profiles. The overall findings suggested a great potential in using real-time pH, ORP and conductivity measurements for quick and reliable monitoring of Anammox systems during start-up and enrichment periods.

scholarly journals Development of a real-time simulation tool towards self-consistent scenario of plasma start-up and sustainment on helical fusion reactor FFHR-d1

2017 ◽  
Vol 57 (6) ◽  
pp. 066011 ◽  
Author(s):  
T. Goto ◽  
J. Miyazawa ◽  
R. Sakamoto ◽  
Y. Suzuki ◽  
C. Suzuki ◽  
...  
Keyword(s):  
Real Time ◽  
Fusion Reactor ◽  
Simulation Tool ◽  
Real Time Simulation ◽  
Time Simulation ◽  
Start Up ◽  
Self Consistent

Commissioning a Real-Time Leak Detection System on a Large Scale Crude Oil Pipeline During Start Up

2006 ◽  
Author(s):  
Joanna Mabe ◽  
Keefe Murphy ◽  
Gareth Williams ◽  
Andrew Welsh
Keyword(s):  
Crude Oil ◽  
Real Time ◽  
Large Scale ◽  
Detection System ◽  
Leak Detection ◽  
Oil Pipeline ◽  
Start Up ◽  
Environmental Requirements ◽  
The Moment ◽  
Operational Data

This paper describes the process of incremental pipeline filling and the phased commissioning of a real-time leak detection system for the 1768 km long BTC crude oil pipeline. Due to stringent environmental requirements, it is essential for the leak detection system to work from the moment that crude oil is introduced into the pipeline. Without any prior operational data and with the pipeline partially filled, it is challenging for the leak detection system to monitor the integrity of the pipeline throughout the whole filling process. The application of the pig tracking software to track the oil front as the crude displaces nitrogen is also discussed.

Design and Implementation of Simple Digital Oscilloscope Based on STM32

2014 ◽  
Vol 1079-1080 ◽  
pp. 1038-1041
Author(s):  
Yan Zhao ◽  
Jiang Hua Wang ◽  
Kun Li
Keyword(s):  
Real Time ◽  
Printed Circuit Board ◽  
Low Frequency ◽  
Circuit Board ◽  
Digital Oscilloscope ◽  
Digital Storage ◽  
Start Up ◽  
Ad Converter ◽  
Function Modules ◽  
And Storage

The digital oscilloscope adopts STM32 MCU as the control core, uses the IDT7201 for memory, through the AD converter ADS830 real-time sampling achieve the extraction of the input signal and digital storage, display; Crossover functions are realized by CPLD to provide accurate clock for MCU, FIFO, ADS830, and communicate with MCU through SPI agreement. Software design to achieve control A/D converter start-up and storage of the sample data, calculate the frequency and amplitude, buttons and LCD screen.Using Altium Designer software to design and produce a digital oscilloscope printed circuit board PCB, and complete the whole production and commissioning. The digital oscilloscope can be real-time accurate sampling and show the general low frequency signal, can be used when using battery power, small volume, convenient to carry, it can be easily integrated into the experiment box, to become a part of it, and other function modules to form a whole.

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