Processing Of Data – Infiweb http://infiweb.org/ Wed, 23 Nov 2022 14:34:45 +0000 en-US hourly 1 https://wordpress.org/?v=5.9.3 https://infiweb.org/wp-content/uploads/2021/06/icon-1-150x150.png Processing Of Data – Infiweb http://infiweb.org/ 32 32 NLP (Natural Language Processing) in the healthcare and life sciences markets: statistics, hybrids, IVR, OCR, clinical lead matching, drug discovery https://infiweb.org/nlp-natural-language-processing-in-the-healthcare-and-life-sciences-markets-statistics-hybrids-ivr-ocr-clinical-lead-matching-drug-discovery/ Wed, 23 Nov 2022 11:33:00 +0000 https://infiweb.org/nlp-natural-language-processing-in-the-healthcare-and-life-sciences-markets-statistics-hybrids-ivr-ocr-clinical-lead-matching-drug-discovery/ company logo Global NLP Market in Healthcare and Life Sciences Global NLP Market in Healthcare and Life Sciences Dublin, Nov. 23, 2022 (GLOBE NEWSWIRE) — The “Healthcare and Life Sciences NLP Market by Component (Solutions & Services), NLP Type (Statistical, Hybrid), NLP Technique ( IVR, OCR), Application (Clinical Trial Matching, Drug Discovery), End Users and […]]]>

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Global NLP Market in Healthcare and Life Sciences

Global NLP Market in Healthcare and Life Sciences

Global NLP Market in Healthcare and Life Sciences

Dublin, Nov. 23, 2022 (GLOBE NEWSWIRE) — The “Healthcare and Life Sciences NLP Market by Component (Solutions & Services), NLP Type (Statistical, Hybrid), NLP Technique ( IVR, OCR), Application (Clinical Trial Matching, Drug Discovery), End Users and Region – Global Forecast to 2027″ has been added to from ResearchAndMarkets.com offer.

The global market size for NLP in healthcare and life sciences will grow from USD 1.8 billion in 2021 to USD 4.3 billion by 2026, growing at a CAGR of 19.0%

Various factors such as the growing need to analyze and extract information from narrative text and huge amount of clinical data, and the growing demand for improving the usability of EHR data to improve health care delivery and outcomes are driving the adoption of NLP in health care and life sciences and services. market around the world.

COVID-19 is disrupting the world, businesses and economies, impacting people’s livelihoods, their interactions and the way they run their businesses. Future-proofing has become the new normal for businesses as they turn away from growth opportunities and focus on implementing drastic measures to mitigate the impact of the COVID-19 pandemic.

In the ongoing fight against COVID-19, pharmaceutical and healthcare organizations, governments and the wider scientific communities around the world are working to assess the impact of the virus and quickly develop fast and accurate solutions. . Few vendors in the market testify that NLP technology would enable rapid, systematic and comprehensive generation of information from unstructured text.

Sources may include scientific literature, clinical trial records, preprints, internal sources, medical records, social media, and news reports. Capturing key information from these many sources and synthesizing it into an evidence hub deepens understanding for users, which will accelerate results. NLP has been widely used in different organizations to categorize feelings, make recommendations, summarize information and model topics.

As the novel coronavirus has spread around the world, it has created major disruptions in communities, patients and clinicians, the way they work and their commitment to supporting ecosystem stakeholders. Pharmaceutical and life science companies have found themselves at the forefront, providing critically essential medical products to support patients in times of need while attracting widespread attention as industry races to develop new therapies and new vaccines against COVID-19.

The cloud segment will have the largest market size during the forecast period

By mode of deployment, NLP in healthcare and life sciences market has been segmented into on-premises and cloud-based. The cloud deployment mode market size is estimated to be larger during the forecast period owing to the availability of easy deployment options and minimum capital and time requirements.

The cloud deployment model holds a large market share due to its availability and agility for business owners. Healthcare companies are opting for a cloud-based infrastructure to manage and monitor employees and facilities working remotely.

The SME segment will maintain a higher CAGR during the forecast period

The market for NLP in healthcare and life sciences has been segmented by organization size into large enterprises and SMEs. The SMB market is expected to register a higher CAGR during the forecast period as cloud-based software and services help them improve business performance and increase productivity.

While the large enterprise segment is expected to hold a larger market share in the NLP in healthcare and life sciences market over the forecast period owing to affordability and acceptance emerging new technologies such as AI, Big Data and blockchain by healthcare companies.

Among the regions, APAC will maintain a higher CAGR during the forecast period

APAC is expected to grow at a good pace over the forecast period. Healthcare companies in APAC continue to focus on improving business operations to drive market competitiveness and revenue growth. China, India, and Singapore have displayed numerous growth opportunities in the NLP market in the healthcare and life sciences market.

Additionally, governments in the region are spending heavily on AI and ML technologies to increase digitization and awareness of NLP among healthcare companies.

Report attribute

Details

Number of pages

348

Forecast period

2022 – 2027

Estimated market value (USD) in 2022

$2.2 billion

Expected market value (USD) by 2027

$7.2 billion

Compound annual growth rate

27.1%

Regions covered

Global

Premium Previews

  • Growing demand for improving usability of electronic health data for better healthcare delivery and business outcomes to drive market growth

  • The pattern and image recognition segment is expected to grow at the highest CAGR during the forecast period

  • Solution Segment and Interactive Voice Response Segment Hold Largest Market Share in North America 2021

  • North America will hold the largest market share in 2021

Market dynamics

Drivers

  • The Growing Urgency of Predictive Analytics Technology to Reduce Risk and Address Important Health Issues

  • Growing demand to improve the usability of Ehr data to improve healthcare delivery and outcomes

  • Growing need to analyze and extract insights from narrative text and huge amount of clinical data

Constraints

  • Specific medical sub-languages ​​and poor quality of input data

  • Inadequacy of advances in NLP technology using neural networks limiting its use for cloud-based services

Opportunities

  • Nlp Systems set to enhance phenotyping capabilities

  • Growing demand for NLP systems programmed to understand the context of medical records

  • The emergence of cognitive computing to drive demand for NLP solutions for precision medicine applications

Challenges

  • Growing regulatory compliance and privacy concerns over data security during COVID-19 are slowing researchers’ progress

  • Interoperability and reliability issues when deploying NLP algorithms

  • Cumulative growth analysis

Case study analysis

  • Drexel University Used Linguamatics I2E to Improve Cohort Selection for HIV and Hepatitis C

  • A healthcare company used Axtria to provide a comprehensive view of patient reports and deliver critical information to healthcare providers and the business

  • Create a medical database and knowledge base for an online clinic chatbot to create anamnesis

  • Leading Kidney Care Providers Implement Citiustech Solution to Predict High-Risk Chronic Kidney Disease

  • Healthcare system applies Linguamatics Nlp platform to improve patient care and gain insights from population health data

  • Major healthcare payers have implemented Linguamatics Nlp solutions to gain insights from unstructured data

  • Medtronic Creates Mobile Personal Assistant App for Diabetes Management

  • Primary medical care group engaged Foresee Medical in Esp risk adjustment software to improve profitability

  • Flagler Health improves the clinical documentation experience for radiologists

Technology Analysis: NLP in Healthcare and Life Sciences Market

Companies cited

  • 3M

  • Apixio

  • Averbis

  • AWS

  • Babylon

  • Bioants

  • Legend Health

  • identify

  • Clinithinking

  • Cloudmedx

  • Corti

  • Dolbey

  • Iron

  • provide medical

  • Gnani.Ai

  • Google

  • Loyalty to Health

  • IBM

  • Inovalon

  • Lexalytic

  • Linguamatics

  • Microsoft

  • Notable

  • Oncora Medical

  • Ganey Press

  • Suki

  • Wave health technologies

For more information about this report visit https://www.researchandmarkets.com/r/cp0mip

Attachment

CONTACT: CONTACT: ResearchAndMarkets.com Laura Wood,Senior Press Manager press@researchandmarkets.com For E.S.T Office Hours Call 1-917-300-0470 For U.S./ CAN Toll Free Call 1-800-526-8630 For GMT Office Hours Call +353-1-416-8900
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A first look at the new data protection bill https://infiweb.org/a-first-look-at-the-new-data-protection-bill/ Sun, 20 Nov 2022 17:22:00 +0000 https://infiweb.org/a-first-look-at-the-new-data-protection-bill/ The story so far: The latest data protection bill – the Digital Personal Data Protection Bill, 2022 (DPDP Bill, 2022) – has now been opened for public comment and the government is expected to introduce the bill in Parliament during the 2023 budget session. Is this the first draft? This is the fourth version of […]]]>

The story so far: The latest data protection bill – the Digital Personal Data Protection Bill, 2022 (DPDP Bill, 2022) – has now been opened for public comment and the government is expected to introduce the bill in Parliament during the 2023 budget session.

Is this the first draft?

This is the fourth version of a Data Protection Act in India. The first bill – the Personal Data Protection Bill, 2018 was proposed by the Justice Srikrishna Committee set up by the Ministry of Electronics and Information Technology (MeitY) with the mandate to establish a data protection law for India. The government made revisions to this bill and introduced it as the Personal Data Protection Bill, 2019 (PDP Bill, 2019) in the Lok Sabha in 2019. On the same day, the Lok Sabha passed a motion to refer the PDP Bill, 2019 to a joint committee of both Houses of Parliament. Due to the delays caused by the pandemic, the Joint Committee on the PDP Bill, 2019 (JPC) submitted its report on the bill after two years in December 2021. The report was accompanied by a new bill , namely the Data Protection Bill. , 2021 integrating the recommendations of the CPM. However, in August 2022, citing the JPC report and the “significant changes” the JPC had made to the 2019 bill, the government withdrew the PDP bill.

Why have there been so many revisions and changes?

Constant interactions with digital devices have led to unprecedented amounts of personal data generated around the clock by users (data controllers). Coupled with the computing power available today from corporations (data trustees), this data can be processed in ways that increasingly undermine autonomy, self-determination, freedom of choice and confidentiality of the data principal.

Read also | Explained | Does the draft data protection law include privacy safeguards?

The current legal framework for the protection of privacy enshrined in the Information Technology Rules, 2011 (IT Rules, 2011) is wholly inadequate to combat such breaches of data controllers, especially as the right to confidentiality of information has been confirmed as a fundamental right by the Supreme Court ( KS Puttaswamy v India Union [2017]). It is insufficient on four levels; first, the existing framework is based on the fact that privacy is a statutory rather than a fundamental right and does not apply to government processing of personal data; second, he has a limited understanding of the types of data to be protected; third, it imposes few obligations on data trustees which, moreover, can be contractually overridden; and fourth, there are only minimal consequences for data trustees for breach of these obligations.

While the need for an effective personal data protection regime is undisputed, India, like other jurisdictions, has struggled to find an optimal formulation for several reasons. First, while protecting the rights of the primary data controller, data protection laws must ensure that the compliance obligations of data trustees are not so onerous that they would render even legitimate processing impossible. Second, the challenge is to strike an appropriate balance between the privacy rights of data controllers and reasonable exceptions, particularly with respect to government processing of personal data. Third, given the speed at which technology evolves, an optimal design of data protection law must be future-proof – it must not be unduly detailed and focused on providing solutions to contemporary concerns. while ignoring any issues that may arise in the future. Fourth, the law must be designed for a framework of rights and remedies easily enforceable by data stewards given their unequal bargaining power compared to data fiduciaries.

What is the scope of the current wording of the bill?

The DPDP Bill, 2022 applies to all processing of personal data carried out digitally. This would include both personal data collected online and personal data collected offline, but which is digitized for processing. Indeed, by being completely inapplicable to manually processed data, it offers a somewhat lower degree of protection since previous drafts only excluded manually processed data specifically by “small entities” and not generally.

Read also |The Data Protection Bill uses “she” and “she” to refer to all individuals

Further, with regard to the territorial application of the law, the bill covers the processing of personal data which is collected by data trustees in the territory of India and which is processed to offer goods and services in India. The current wording inadvertently appears to exclude data processing by Indian data trustees who collect and process personal data outside India, data controllers who are not located in India. This would impact the legal protections available to clients of Indian start-ups operating overseas, thus affecting their competitiveness. This position seems to be further underlined by the 2022 DPDP Bill which exempts the application of most of its protections to the processing of personal data of non-residents of India by data trustees in India.

How well does the DPDP Bill, 2022 protect data controllers?

The bulwark of most data protection legislation is to give the principal maximum control over his personal data. This happens by imposing a comprehensive notice to the data controller on the different aspects of the data processing on the basis of which the data controller can give his explicit consent to such processing. Although there are limited circumstances for the processing of personal data without consent, this still gives the data controller the right to access, correct, delete, etc. its data. At the same time, the data trustee is subject to, among other things, the data minimization obligation, which consists of collecting only the personal data necessary to achieve the purpose of the processing (limitation of collection); process them only for the stated purposes and no more (purpose limitation) and keep them on its servers only for the time necessary to achieve the stated purposes (storage limitation).

The current draft removes explicit reference to certain data protection principles such as limitation of collection. This would allow a data fiduciary to collect all personal data to which the data controller has consented. Making collection only conditional on consent fails to take into account that data controllers often do not have the required know-how about what kind of personal data is relevant for a particular purpose. For example, a photo filter application may process data about your location or information about your contacts even though it does not need this information to carry out its main task of applying the filter. It also removes the notion of “sensitive personal data”. Based on the increased potential for harm that may result from the unlawful processing of certain categories of personal data, most data protection laws categorize these categories as “sensitive personal data”. By way of example, this includes biometric data, health data, genetic data, etc. This personal data enjoys a higher degree of protection in terms of requiring explicit consent before processing and mandatory data protection impact assessments. By removing this distinction, the DPDP Bill 2022 removes these additional protections.

Additionally, the bill also reduces the information a data trustee is required to provide to the data principal. Whereas previous iterations required considerable information in terms of data controller rights, grievance mechanism, information retention period, source of information collected, etc. to be provided to the data controller, the current draft narrows the scope of this information down to the personal data one wishes to collect and the purpose of the data processing. While this may have been done in an effort to simplify the notice and avoid information overload, there are other means such as infographics, just-in-time notices, etc. which are recommended by data protection authorities to ensure a full but understandable notice.

Additionally, the DPDP Bill, 2022 seems to assume that a notice need only be provided to take consent from the data principal. This is a limited understanding of the subject matter of the notice. Notice is also important so that the data controller can exercise their data protection rights, such as the right to know what personal data is being processed by whom, whether that data needs to be corrected or updated and also to request the deletion of data which may not be relevant for the purpose of the processing. These rights exist even in the case of data processing not based on consent. As such, limiting notification to only processing of personal data based on consent would limit the scope of the exercise of these rights.

The DPDP Bill, 2022 also introduces the concept of “deemed consent”. Indeed, it groups the purposes of the processing which were either exempted from the processing based on the consent, or considered as “reasonable purposes” for which the processing of the personal data could be undertaken under the “presumed consent”. However, there are some concerns about this due to the vaguely worded grounds for processing, such as “public interest” and the removal of additional safeguards for the protection of the interests of data controllers.

An important addition to the data controllers’ right is that it recognizes the post-mortem privacy right that was missing in the 2019 PDP Bill but was recommended by the JPC. The right to post-mortem confidentiality would allow the data controller to designate another person in the event of death or incapacity.

The author is a researcher at the Center for Applied Law and Technology Research, Vidhi Center for legal policy

(This is the first of a two-part series on the Digital Personal Data Protection Bill, 2022)

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Manual processing of AP Discounts on missed payments https://infiweb.org/manual-processing-of-ap-discounts-on-missed-payments/ Tue, 15 Nov 2022 03:48:36 +0000 https://infiweb.org/manual-processing-of-ap-discounts-on-missed-payments/ The cost of maintaining the status quo has just increased. This is because new research shows that companies that use an outdated manual non-payroll expense system are not only less efficient, but also forego prepayment discounts that are typically captured by companies with automated AP technology. By helping businesses quickly pay their suppliers and vendors, […]]]>

The cost of maintaining the status quo has just increased.

This is because new research shows that companies that use an outdated manual non-payroll expense system are not only less efficient, but also forego prepayment discounts that are typically captured by companies with automated AP technology.

By helping businesses quickly pay their suppliers and vendors, these systems enable them to take advantage of the discounts available to them when they pay the invoices they receive promptly, according to “Improve Financial Performance: Take Advantage of Early Payment Discounts», a PYMNTS and Air-base collaboration based on a survey of 225 software-as-a-service (SaaS) business leaders.

In fact, while 27% of companies that use an expense management system say they take advantage of vendor prepayment discounts “all the time”, only 15% of companies that don’t have such a system say same thing.

In addition, 8% of companies without a system say they never take advantage of these discounts, while only 4% of those with a system say the same.

Rely on time-consuming manual processes

What prevents companies from taking advantage of these discounts? Errors and delays resulting from the way companies manage their non-wage expenses, according to the report.

Companies that fail to obtain the discounts typically offered by suppliers and vendors often rely on manual processes that are time-consuming, inefficient, and error-prone.

In fact, 20% of executives said data entry errors were their biggest challenge.

“It all starts with mistakes,” Airbase VP of Business Development Dan DeVal said PYMNTS in an interview published Nov. 8. [creates] a ton of wasted time with reconciliation.

For this and other reasons, DeVall said, getting the accounts payable (AP) the process under control has become a priority mission for many companies.

Pay suppliers in a timely manner

A key benefit of using a non-payroll expense management system is automation, which reduces data errors and allows companies to pay vendors faster, according to the report.

An automated expense management system can streamline processes related to companies’ payments to their suppliers and vendors, reduce data processing errors, and help companies’ PA teams pay suppliers before the invoice is due.

Embracing automation that delivers compliant approval workflows and real-time reporting, DeVall told PYMNTS, “You can rely on integrations to be able to capture, store and ultimately share data across the company. You can also smooth out a compliant process. You can also make substantial savings on cash benefits. »

This, in turn, allows accounting departments to optimize card spending and increase things like cash back for the business, DeVall said.

As those with an automated expense management system have discovered, taking advantage of rebate opportunities helps companies cut costs, improve bottom line, and drive growth.

How consumers pay online with stored credentials
Convenience drives some consumers to store their payment credentials with merchants, while security concerns give other customers pause. For “How We Pay Digitally: Stored Credentials Edition,” a collaboration with Amazon Web Services, PYMNTS surveyed 2,102 US consumers to analyze the consumer dilemma and reveal how merchants can overcome holdouts.

We are always looking for partnership opportunities with innovators and disruptors.

Learn more

https://www.pymnts.com/money-mobility/2022/early-wage-access-could-tip-the-scales-in-worker-recruitment/partial/

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Go further: Improve industrial wastewater assets beyond the expensive items with advanced analytics applications https://infiweb.org/go-further-improve-industrial-wastewater-assets-beyond-the-expensive-items-with-advanced-analytics-applications/ Fri, 11 Nov 2022 22:12:18 +0000 https://infiweb.org/go-further-improve-industrial-wastewater-assets-beyond-the-expensive-items-with-advanced-analytics-applications/ In process manufacturing environments, plant operations such as wastewater treatment and neutralization are often taken for granted, but these systems must always be ready to ensure upstream operational readiness. Since these types of ancillary utilities are essential for cost-effective manufacturing, a conservative attitude is often taken when evaluating new technologies. Changes and upgrades typically introduce […]]]>

In process manufacturing environments, plant operations such as wastewater treatment and neutralization are often taken for granted, but these systems must always be ready to ensure upstream operational readiness. Since these types of ancillary utilities are essential for cost-effective manufacturing, a conservative attitude is often taken when evaluating new technologies.

Changes and upgrades typically introduce impacts to methodologies, chemistry, and setpoints, and anticipating required adjustments is a challenge using outdated analytical tools like spreadsheets.

When subject matter experts (SMEs) attempt to quantify the impacts of these changes or investigate other issues, there is often limited time for analysis, as well as obstacles to gathering all the relevant data. Advanced analytics applications help bridge the gaps between multiple sources, connecting data streams like wastewater treatment with other manufacturing information.

Using data to support decisions in manufacturing environments is becoming more standard, and as industrial wastewater operations seek to modernize, it is imperative to embrace this trend.

The Challenges of Distributed Data Analytics

When analyzing data in industrial environments, it is normal to focus on the most expensive items as a source of possible improvement. In wastewater treatment, this includes assets such as neutralization tanks, settling ponds, digesters and sanitizers. These assets are generally considered “valuable” enough to justify the time and effort required to combine the required data into a spreadsheet, check validity, align, clean and finally perform the analysis of interest to make a decision based on on the data.

Meanwhile, many other assets and processes don’t receive the same scrutiny and are frequently left in “set-it-and-forget-it” mode, as long as they don’t introduce known issues.

Between the sometimes conflicting challenges of meeting industrial process regulatory requirements and adapting to upstream changes in chemistry or process conditions, performing the analyzes necessary for continuous improvement in smaller operations can get lost behind- plan. At best, occasional improvements can be made, but they are usually only based on tribal knowledge or hunches not backed up by analysis.

As industrial wastewater treatment teams seek to modernize their operations, the ability to develop and implement large-scale analytics in a facility, and not just on the largest or most valuable assets, becomes the key. standard. Additionally, collaboration across teams is more important than ever, with the advent of enhanced information sharing and reporting tools, which make it easier to ensure optimal operations and transparency across multiple operating groups and teams. ‘engineering. Greater collaboration capabilities can mean the difference between meeting or failing aggressive enterprise-wide initiatives, such as reducing energy consumption or improving sustainability.

Break down barriers to go further with advanced analytics

Cloud-hosted advanced analytics applications provide solutions to these and other decision problems often present today. These software tools achieve this by first establishing a live connection to all existing data sources in a facility, not just limited to manufacturing operations. This effectively breaks down silos containing the data needed to perform analytics across the entire industrial process, including upstream and inbound process changes.

Using these applications, SMBs can quickly create calculations with simple point-and-click tools to clean, contextualize, and model processes to perform diagnostic, predictive, and descriptive analytics on operational and equipment data. With these tools, the engineering hours required for analysis can be drastically reduced, eliminating large amounts of time wasted with manual data manipulation and sorting in spreadsheets. This frees qualified personnel for other tasks, such as process optimization and improvement. And it can expand the scope of scans beyond a site’s largest and most important assets, bringing the rewards of multiple distributed plant-wide improvements.

Additionally, with the ability to ingest or create a hierarchy of assets in the data that reflects plant equipment, analyzes that have been performed on a single asset can be easily replicated at scale across the entire fleet, allowing easy monitoring of many assets that might have been overlooked in the past due to the perceived return on time investment. These results can then be captured and communicated across the organization. This mitigates the siled, time-consuming, and error-prone analyzes that occur when organizations rely on spreadsheet applications for data analysis.

Optimize a chemical dosing application

The process of neutralizing, flocculating, softening, or restoring process waste to the quality required for disposal or reuse in the facility typically requires large amounts of chemicals for treatment. Quantifying the exact volume of chemicals required for treatment – ​​whether pH neutralization, bioburden disinfection, or some other process – has historically been difficult to determine on an ongoing basis. As a result, many industrial facilities end up over-treating their wastewater, using more chemicals and energy than necessary.

By implementing Seeq, an advanced analytics application, a dairy-based food and beverage manufacturer was empowered to perform analytics to compose accurate chemical dosage calculations, with newly found time thanks to the reduction of manual data manipulation. Leveraging a live connection to process data, the plant’s process engineer analyzed historical data, comparing the bioload in the water waste-activated sludge with the amount of products chemicals used for treatment.

These chemical quantities tended to be based on a single worst-case scenario, rather than actual contamination conditions. By creating a conversion table of the chemicals needed to treat each given bioburden, the engineer analytically quantified the amount of chemicals that could have been saved using a dynamic control strategy rather than the worst-case dosage. Coincidentally, the old setpoint did not always treat wastewater adequately (Figure 1).

During this investigation, the engineer determined a dramatic average overtreatment of the wastewater. By adjusting the control strategy for variable dose based on process levels, the facility has reduced chemical costs, saving hundreds of thousands of dollars each year.

Explore and quantify automatic control improvements

In addition to developing control strategies, making improvements to process logic and the control loops themselves can unlock hidden goldmines of savings. Control systems in wastewater treatment processes are typically designed and implemented during facility construction, and they are rarely revisited during upgrades due to the data intensive nature of analyzes to characterize each control loop.

In the wastewater treatment plant of a large pharmaceutical manufacturer, engineers sought to study the effectiveness of multiple control loops throughout the facility. Stuck with existing disparate databases and spreadsheet methods, this effort would have been time-consuming, even with limited scope. Using Seeq, the engineering team quickly connected, cleaned, and contextualized data from their various control loops. Next, they quantified the metrics of these loops, such as time spent in a percentage of setpoint, travel from setpoint, time to reach setpoint and more (Figure 2).

Leveraging Seeq’s ability to create ad hoc asset structures, the group combined lab and manufacturing data into a single asset structure focused only on the control loops of interest. Then they extended the analysis from one loop to several others within the installation. As a result, the engineering group identified opportunities for improvement by labeling the least efficient loops, along with ways to adjust the loop or replace equipment accordingly. This has resulted in an average 50% reduction in the time it takes to reach setpoints across multiple plant-wide process processes.

Conclusion

Staying competitive in today’s fast-paced manufacturing environment requires operational agility and plant optimization at every stage of a process. Left to the tools of yesterday, it is difficult for process manufacturers to properly analyze, operate and manage industrial assets and processes, but today’s modern software tools make these tasks much more bearable.

Advanced analytics applications connect data between previously disparate sources, quickly generate insights, and promote information sharing among multiple teams within an industrial organization, helping to optimize processes and smooth collaboration between facility personnel. By leveraging these tools, SMBs can spend less time worrying about managing and contextualizing data, and more time reviewing insights with team members to improve performance, sustainability and plant-wide profitability.

Sean Tropsa began his career as an engineer in the specialty manufacturing and semiconductor manufacturing industries. Here he learned how to analyze large datasets, with a focus on root cause analysis and continuous process improvement to solve a variety of problems. Leveraging this experience in his role as Senior Analytics Engineer at Seeq, Sean helps companies improve their analytics, enabling engineers to gain actionable insights from their data. He holds bachelor’s and master’s degrees in chemical engineering from Arizona State University.

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Powerball ticket sold in California wins record $2.04 billion – Daily Local https://infiweb.org/powerball-ticket-sold-in-california-wins-record-2-04-billion-daily-local/ Tue, 08 Nov 2022 22:07:30 +0000 https://infiweb.org/powerball-ticket-sold-in-california-wins-record-2-04-billion-daily-local/ By STEFANIE DAZIO and SCOTT McFETRIDGE (Associated Press) LOS ANGELES (AP) — Someone who bought a Powerball ticket in Southern California has won a record $2.04 billion Powerball jackpot after more than three months without anyone hitting the top prize. The winning numbers were selected on Tuesday morning, nearly 10 hours after the draw scheduled […]]]>

By STEFANIE DAZIO and SCOTT McFETRIDGE (Associated Press)

LOS ANGELES (AP) — Someone who bought a Powerball ticket in Southern California has won a record $2.04 billion Powerball jackpot after more than three months without anyone hitting the top prize.

The winning numbers were selected on Tuesday morning, nearly 10 hours after the draw scheduled for Monday evening due to sales data processing issues at one of the game’s member lotteries. Lottery officials acknowledged the unprecedented delay for such a high-profile draw, but said the game’s security process takes precedence.

“Protecting the integrity of the draw is of the utmost importance, and we were able to do so in this historic draw with the cooperation of all participating lotteries,” said Drew Svitko, president of Powerball Product Group and executive director of the Pennsylvania Lottery. .

On Tuesday afternoon, the Minnesota Lottery acknowledged that its sales verification system was the cause of the long delay.

The winning numbers drawn Tuesday morning at the Florida Lottery Drawing Studio in Tallahassee were: the white balls 10, 33, 41, 47 and 56, and the red Powerball was 10.

The jackpot ticket was sold at Joe’s Service Center in Altadena, an unincorporated community in the foothills northeast of Los Angeles. For selling the winning ticket, business owner Joe Chahayed will receive a maximum Powerball bonus of $1 million.

” I am very surprised. Very excited. Very happy,” said Chahayed, who wore a bright yellow California Lottery shirt and cap.

Chahayed said he doesn’t know who won the giant prize, but hopes it’s someone local.

“I wish I had known the person, but most of the people who buy tickets from me are from the neighborhood. I hope one of them will be the winner,” he said.

Chahayed said he would spend his million dollars on his five children and donate part of it to the community.

According to California rules, the name of the winner must be disclosed, but no other information, including the winner’s address, must be made public.

Thomas Murrell said he stopped at Joe’s on Tuesday morning with the intention of buying gas and $200 Powerball tickets, in case no one won the giant jackpot.

“I know Joe. I’ve known him for years and talk to him all the time,” Murrell said. “Joe has always been a lucky guy. He’s a good guy. I’m not surprised it happened here.

The $2.04 billion jackpot was by far the biggest lottery prize ever won, surpassing the previous record prize of $1.586 billion won by three Powerball ticket holders in 2016. Only four previous jackpots have surpassed $1 billion. dollars, but none of them come close to the current price, which started at $20 million on August 6 and has been rising for three months without a win. No one has won the jackpot since August 3.

The jackpot was originally estimated at $1.9 billion on Monday, but the prize was increased to $2.04 billion on Tuesday morning after updated calculations.

The Multi-State Lottery Association said the scheduled draw was delayed from 10:59 p.m. EST Monday to 8:57 a.m. EST Tuesday because a participating lottery was unable to process its sales data. Once Minnesota completed its pre-draw procedures, the draw could proceed.

Marie Hinton, a Minnesota Lottery spokeswoman, said the lottery is reviewing what happened and hopes to report its findings by Wednesday.

Terry Rich, a former Iowa lottery manager who also served on Powerball’s board, said the delay was likely due to a two-part ticket sales verification system that uses an outside supplier to make sure everything is in order before the game. the numbers are drawn.

“Each state must double-check that all sales and dollars match before the Multi-State Lottery Association can make the draw,” said Rich, who ran the Iowa Lottery for 10 years and has served as president of the North American Lottery Association. . “It is a state-by-state procedure, which separates the whole process and has been very efficient.”

Rich said state lotteries face similar issues several times a year, but the delays don’t usually get much attention because the potential jackpots are far lower than what was up for grabs that week.

The winning numbers and recorded video of the draw were posted on the Powerball YouTube channel.

The $2.04 billion prize is for a winner who chooses an annuity, paid annually over 29 years. Almost all of the winners opt for cash instead, which has been valued at $997.6 million.

The odds of winning the jackpot are 1 in 292.2 million.

The game is played in 45 states, as well as Washington, DC, Puerto Rico, and the US Virgin Islands.

___

McFetridge reported from Des Moines, Iowa.

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Stream Data Pipeline Processing Tool Market 2022 Analysis Size, https://infiweb.org/stream-data-pipeline-processing-tool-market-2022-analysis-size/ Mon, 31 Oct 2022 10:50:00 +0000 https://infiweb.org/stream-data-pipeline-processing-tool-market-2022-analysis-size/ Stream data pipeline processing tool The Stream Data Pipeline Processing Tool market research report is a competent and top-down research by specialists on the current state of the industry. This statistical survey report provides the latest industry insights and future industry patterns, allowing you to single out items and end customers driving development and revenue […]]]>

Stream data pipeline processing tool

The Stream Data Pipeline Processing Tool market research report is a competent and top-down research by specialists on the current state of the industry. This statistical survey report provides the latest industry insights and future industry patterns, allowing you to single out items and end customers driving development and revenue benefits. It focuses on the real drivers and restraints for key players and presents the state of the challenge with development prospects. Furthermore, the report displays the potential opportunities in the Flow Data Pipeline Processing Tool market and also presents the effect of different elements hindering or stimulating the analysis of the market.

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The research report analyzes the historical and current performance of the global Stream Data Pipeline Processing Tool industry and makes predictions about the future status of the Stream Data Pipeline Processing Tool market based on the analysis. The Flow Data Pipeline Processing Tools market is also analyzed on the basis of product prices, Benzaldehyde production volume, demand and supply data, and revenue generated by the product. Additionally, the Flow Data Pipeline Processing Tool research report explores the product scope, market opportunities, market overview, market risk, market driving force and much more. .

The Stream Data Pipeline Processing Tool research report analyzes the major manufacturers, profiles, with revenue, price and sales of Product XY in historical years. It also displays the competitive situation among major manufacturers with market share and advertising revenue. Additionally, it presents the global Flow Data Pipeline Processing Tools market by regions with the market share, sales and revenue in the estimated years.

Market overview:
The report presents an overview of the market with the production of cost, shipping, application, volume of use and arrangement. The Stream Data Pipeline Processing Tool research report offers significant business direction insights right from the start, including some stable techniques crafted by perceptible market pioneers to develop strong foothold and development in the company. Moreover, significant areas of the Stream Data Pipeline Processing Tool Market are also assessed on the basis of their performance.

Market segmentation analysis
The market is segmented on the basis of product, type, end users, and application. Segmentation is considered to be the most vital part of the report which helps the reader to understand the market accurately.

By the manufacturers
Google

IBM

Oracle

AWS

Microsoft

SAP SE

Actian

Software SA

Denodo Technologies

Tibco

Snowflake

SnapLogic

K2View

TapClicks

Alibaba Cloud

Tencent cloud

Data for the next second

Smart cloud technology

Hengshi Technology

Qinhuai Data Group

By type
Real-time data pipeline tool

Proprietary Data Pipeline Tool

Cloud-native data pipeline tool

By end users
Finance

Security

Learn about this research at https://www.deepresearchreports.com/contacts/inquire-before-buy.php?name=2599077

Geographic segmentation
• North America
• South America
• Asia and the Pacific
• Middle East and Africa
• Europe

Reasons to Buy Report
• The report offers an in-depth analysis of the market by providing definition, application and classifications.
• SWOT analysis and strategies of each vendor in the market are provided in the report.
• The provides a comprehensive overview of current industry trends, trend forecasts and growth drivers.
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Deep Research Reports is a digital database of syndicated market reports for global and Chinese industries. These reports offer competitive intelligence data for companies in various market segments and for multi-level decision makers in these organizations.

This press release was published on openPR.

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Benson is the secretary of state’s favorite when it comes to campaign and poll money https://infiweb.org/benson-is-the-secretary-of-states-favorite-when-it-comes-to-campaign-and-poll-money/ Fri, 28 Oct 2022 21:51:00 +0000 https://infiweb.org/benson-is-the-secretary-of-states-favorite-when-it-comes-to-campaign-and-poll-money/ Secretary of State Jocelyn Benson has a comfortable advantage in remaining Michigan’s top campaign official, according to campaign finance reports released Friday and the latest polls. Benson raised just over $879,000 from mid-September to Oct. 23, according to his pre-election report, including an in-kind contribution of about $5,000. In total this election cycle, Benson has […]]]>

Secretary of State Jocelyn Benson has a comfortable advantage in remaining Michigan’s top campaign official, according to campaign finance reports released Friday and the latest polls.

Benson raised just over $879,000 from mid-September to Oct. 23, according to his pre-election report, including an in-kind contribution of about $5,000.

In total this election cycle, Benson has raised more than $5.1 million. His campaign has spent about $2.7 million this cycle and still has nearly $1.5 million left.

Republican challenger Kristina Karamo, by comparison, has raised just over $241,000 since mid-September, according to her pre-election filing. She said she had $158,492 left to spend as of October 23.

In total this cycle, Karamo’s campaign has raised more than $1.1 million and spent nearly $1 million.

Benson’s major donations over the past six weeks include tens of thousands of dollars from unions like the American Federation of State, County and Municipal Employees (AFSCME) and the International Brotherhood of Electrical Workers (IBEW), as well than Blue Cross Blue Shield. Hollywood filmmaker JJ Abrams even contributed the individual maximum, $7,150.

Karamo’s largest donation was $7,150 from West Michigan businessman and prolific Republican donor JC Huizenga.

Deep-pocketed liberal groups also spent more than $4 million in digital, print and TV ads against Karamo in the past month, state data shows. That includes a nearly $2 million television ad buy from Women Vote Michigan last month.

The poll in the SOS election saw the widest margins of Michigan’s three major offices. The latest poll, conducted this week by GOP pollster Cygnal, has Benson leading 49% to 41%, with a margin of error of 2.3 points.

The latest independent poll, conducted last week by Mitchell Research, gave Benson a 9-point lead with a margin of error of 4.2 points.

Related: What Michigan’s midterm poll shrinkage really means for voters

Karamo was a 2020 Detroit ballot candidate who claimed to have witnessed irregularities in the processing of mail-in ballots in Detroit. She turned false accusations of a stolen election into a statewide candidacy after being endorsed by former President Donald Trump.

His main criticisms of the Michigan election include that there are too many dead on the voter rolls and not enough Republican voters in major Democratic areas.

She also celebrated a court victory last week in which Benson’s rules for ballot candidates were struck down for not following the correct process.

Benson used her term to “stand guard” over democracy, she previously told MLive. Audits and investigations found Michigan’s election to be free of the widespread fraud claimed by Karamo and other Trump allies.

Learn more about MLive:

Kristina Karamo, a 2020 election denier, wants to oversee Michigan election laws

For Michigan SOS Jocelyn Benson, watching over democracy and the right to vote are her priorities

Michigan election challenger declares invalid, incorrectly enacted, court hears

Michigan Republican SOS candidate Kristina Karamo tried to crash a car with her family, court filing says

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Race to the bottom? Michigan’s plummeting marijuana prices are good for buyers, bad for business https://infiweb.org/race-to-the-bottom-michigans-plummeting-marijuana-prices-are-good-for-buyers-bad-for-business/ Sat, 22 Oct 2022 12:00:00 +0000 https://infiweb.org/race-to-the-bottom-michigans-plummeting-marijuana-prices-are-good-for-buyers-bad-for-business/ The continued free fall in retail marijuana prices in Michigan is great for customers, but difficult for businesses. Profit margins appear to be tightening even further, at least in the short term, as a surplus of newly harvested marijuana enters both legal and illicit markets during what is known in the marijuana industry as “croptober.” […]]]>

The continued free fall in retail marijuana prices in Michigan is great for customers, but difficult for businesses.

Profit margins appear to be tightening even further, at least in the short term, as a surplus of newly harvested marijuana enters both legal and illicit markets during what is known in the marijuana industry as “croptober.” , harvest time for outdoor farms. Croptober triggered a $30 month-over-month drop in the price per ounce in 2020 and $13 in 2021.

In an economy that is experiencing significant inflation—grocery prices have risen 13% over the past year—marijuana is an anomaly.

Marijuana insiders point to the growing glut of marijuana produced by licensed businesses at nearly 1.5 million plants at one point in a state where only about 200 of 1,773 communities have chosen to allow recreational sales.

“That’s what’s causing the race to the bottom,” said Harry Barash, who runs the 8,000-member Michigan Cannabiz Professionals Facebook page and works as a cannabis industry specialist for the NAI Farbman-based real estate firm. at Southfield. “If you can’t get your price per pound down to an economically feasible number, you better have a much better quality product so you can compete.”

He believes Michigan’s marijuana industry is moving toward beer and spirits, where customers are offered low-cost products made by huge, deep-pocketed manufacturers, as well as “high-end” specialty liquors. » bottled in lower quantities at higher prices.

In some ways, he said, it’s already there. “I’m guessing maybe 60% to 70% is the bottom shelf, maybe 10% the middle shelf, and 20% the top shelf.”

According to the latest data provided by the Michigan Cannabis Regulatory Agency (CRA) in September, the average retail price for an ounce of marijuana — enough to pack a pipe 56 times — was around $110.

That’s a 73% price drop from the cost of cannabis flower of $393 an ounce in September 2020 and a 46% drop since marijuana was selling for $394 an ounce a year ago. .

Browse the shelves or online menus of most dispensaries and it’s not uncommon to find even lower prices. Ounces of marijuana with names like Vanilla Gorilla, Cheesequake, and many other very potent strains approaching 20% ​​THC can be had for $100, sometimes less.

As prices fall, total sales continue to rise. The state announced a record $195 million in recreational sales in September, a pace that, if sustained, will approach $2.5 billion over the next year, including marijuana sales at medical purposes.

How low will the prices go?

Barash doesn’t think the price of marijuana has bottomed out and said there is still room for prices to come down. Retailers MLive spoke to said the wholesale price per pound of marijuana flower, which was nearly $3,500 two years ago, is now between $1,000 and $1,500. At $1,000, the wholesale price of an ounce of marijuana is around $36.

“The benchmark for many indoor grows is to produce flowers for around $500 a pound,” Barash said. “So there’s really a lot of room for a producer to make money.”

At $500 per pound, the cost to produce an ounce of marijuana is around $18.

Barash said lower prices make growing marijuana less attractive, which ultimately results in less production and price stabilization, as seen in other states, like Washington and Oregon, with older markets.

“Based on today’s cost of entry, it takes a lot longer to recover your investment, which really makes it a less successful business model,” Barash said. “Washington and Oregon have kind of bottomed out already and they’re on the rise.

“These markets are much more stable now. We are a little behind them. It will get worse, then it will probably improve a bit and stabilize.

Despite the decline in business revenue, there has been no increase in the number of businesses exiting the market.

One of the casualties is Grand Rapids-based Terrapin, a growing and processing operation that opened a 35,000 square foot facility in 2020 and was eventually licensed to grow up to 10,000 plants. In July this year, the Detroit Free Press reported that the company was operating with a reduced team after laying off nearly 42% of its staff. The company is now closed and the licenses cancelled.

Lume, which operates a growing and one of the state’s largest retail chains, closed four stores in July but said plans to open outlets in three new cities were still on the table. the right path.

“There’s been a lot of layoffs in the industry,” Barash said, “and there’s been a lot of consolidations. People are trying to figure out how they can cut costs.

Optimism

Barry Goodman, the owner of Freddie’s, a company with a retail location, seven-acre growing and processing facility in Clio, thinks the market is bottoming out.

Right now, he said, growers are constantly lowering their prices to be competitive. There are too many producers and not enough retailers to sell it, he said. But that could soon change.

“Detroit, for example, is going to go for 60 recreational licenses,” said Goodman, who also owns Southfield-based law firm Goodman Acker. “It will take some of the surplus that reduces the price.

“And then other cities in the state will enter the market. They see it’s actually a boon because there’s more money for public safety, there’s very little crime, and the curb appeal is high end. They look like Starbucks, jewelry stores, that sort of thing.

Detroit’s plan to allow recreational sales has been upheld in court since 2020 after multiple lawsuits accused the program of unfairly giving preferential treatment to longtime Detroit residents. The city now plans to begin issuing retail marijuana licenses in 2023.

Goodman said other marijuana business owners he speaks with agree “we’ve hit rock bottom.”

“I think in the spring when there are more dispensaries, I think the price will go up 30%,” he said. “So instead of $1,000, $1,200 (per pound), I’m thinking between $1,200 and $1,800, depending on the quality.”

Enforcement

Beyond visible market forces, there is an unlicensed marijuana market that puts pressure on prices through competition that is almost impossible to quantify. A study published by the Anderson Economic Group in 2021 estimated that only a third of all marijuana purchases are made through licensed commercial sales.

“There are so many outdoor grows done illegally by a million different people,” Goodman said. “I think law enforcement would help with this problem, but they don’t seem to be involved in the illegal growth.”

There are, however, indications that law enforcement and regulators are stepping up their efforts to eradicate black market marijuana from illicit and licensed markets.

This month, the CRA fined and suspended a Detroit medical marijuana retailer after an inspector in May 2021 observed backpacks and duffel bags filled with unlabeled marijuana in the store; and state police raided a cannabis farm and CBD store in Grand Traverse County, suspected they were operating as an unlicensed marijuana business.

Many industry insiders called for greater enforcement at the ARC’s quarterly meeting in September.

At this meeting, Allison Arnold of Cannabis Attorneys of Michigan stated that there were not enough licensed growers in the market to supply the amount of marijuana distillate available on the shelves, indicating that some comes from black market sources.

“Illicit sales continue to be the primary means for Michigan residents to obtain their cannabis” and “there are also a growing number of licensed cannabis operators supplying illicit or untested products,” Shelly Edgerton said in a released statement. by the MCMA following the quarterly meeting. “We can help address these two pressing issues by cracking down on the illicit market and strengthening law enforcement across the state.”

Despite the problems, Barash said the industry is “not going anywhere”.

“The Michigan market is likely to mature to a $3 billion industry, ARC tells us, but it’s definitely going to go through a lot of corrections and adjustments,” he said. “People are going to have to keep scaling, pivoting and being creative to be effective, because we all know profit margins aren’t what they used to be.”

Learn more about MLive:

State Police Raid CBD Business Suspected of Being an Illegal Marijuana Dispensary

Marijuana reformers praise Biden

Michigan Set to Strengthen Marijuana Law Enforcement

Business suspended after bags of marijuana found

Marijuana is legal in Michigan, but mothers may face CPS investigation if they use it

Michigan marijuana ‘shocked’ by director’s departure

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Researcher’s new sensor system for Internet of Things devices integrates processing and computing to save power and protect data https://infiweb.org/researchers-new-sensor-system-for-internet-of-things-devices-integrates-processing-and-computing-to-save-power-and-protect-data/ Mon, 17 Oct 2022 19:03:07 +0000 https://infiweb.org/researchers-new-sensor-system-for-internet-of-things-devices-integrates-processing-and-computing-to-save-power-and-protect-data/ It’s been more than a decade since Gartner Research identified the Internet of Things – physical objects with sensors, processing capability, and software that connect and exchange data through the Internet and communications networks – as a technology emerging. Nowadays, connected devices are indispensable to commercial industries, healthcare and consumer products. Data analytics firm Statista […]]]>

It’s been more than a decade since Gartner Research identified the Internet of Things – physical objects with sensors, processing capability, and software that connect and exchange data through the Internet and communications networks – as a technology emerging.

Nowadays, connected devices are indispensable to commercial industries, healthcare and consumer products. Data analytics firm Statista predicts a near tripling of the number of connected devices worldwide, from 9.7 billion in 2020 to more than 29 billion in 2030.

The sensors built into the devices are largely passive, transmitting signals to networked computers which process and send meaningful data back to the device. Kyusang Lee, an assistant professor of materials science and engineering and of electrical and computer engineering at the University of Virginia’s School of Engineering and Applied Science, is working on a way to make sensors smart.

Its smart sensor will sit at the edge of a device, which itself sits at the edge of a wireless network. The smart sensor system also stores and processes data — an emerging area of ​​research he calls artificial intelligence of objects, a research force in Charles L. Brown’s Department of Electrical and Computer Engineering.

“Given the exponential growth of the Internet of Things, we anticipate bottlenecks and delays in data processing and feedback signaling. Sensor output will be less reliable,” Lee said.

The constant pulse of data through wireless and computer networks also consumes power and increases the risk of exposing sensitive data to accidental or unauthorized disclosure and misuse.

Lee’s sensor system addresses both of these challenges. An added benefit is that the sensor can detect and process a wide variety of signals that mimic human biology: image sensing for vision; ultrasonic detection for hearing; pressure sensing and motion and touch stress sensing; and chemical detection to detect viruses.

Lee and members of his Thin Film Devices Lab co-authored a paper in Nature Communications that points to this holistic sensing system. In-sensor Image Memorization and Encoding via Optical Neurons for Bio-stimulus Domain Reduction Toward Visual Cognitive Processing is featured on the publisher’s main page, earning recognition as one of the top 50 recently published papers in a field.

Lee’s sensor system is the culmination of five years of research in electrical and optical materials development and device fabrication, a research strength of the Department of Materials Science and Engineering. His fundamental research in epitaxy – the growth of crystalline material on a coated substrate in 2D – offers a new way to grow thin films.

Lee began this research as a postdoctoral associate in the Department of Mechanical Engineering at the Massachusetts Institute of Technology. Working with mechanical and electrical engineers and materials scientists at MIT, Lee developed a process for growing crystalline compound semiconductors that overcame the limitations imposed by lattice pairing between two material systems.

Lee commercialized his process, serving as chief executive and chief technology officer of a Charlottesville, Va. startup, FSB. The company offers high-quality, large-scale, low-cost gallium nitride substrates for semiconductors commonly used in light-emitting diodes and enables customers to develop high-quality single-crystal semiconductors on graphene.

Lee’s innovation in material synthesis, called remote epitaxy, enables the fabrication of a high-quality, self-contained semiconductor film, meaning that any given layer of material can be engineered with unique properties, independent of layers of material in which it is sandwiched. This flexibility in layer stacking was a prerequisite to building a multifunctional sensor capable of simultaneously collecting and processing different types of signal inputs.

The optoelectronic component of the system integrates image sensing and computing. Lee won a prestigious National Science Foundation CAREER award for developing this intelligent image sensor system, which mimics the human eye. An artificial cornea and artificial iris achieve basic optics, aided by artificial muscles that allow movement and focus. An artificial retina records the image signal, pre-processing the image data.

A co-designed software and hardware artificial neural network completes the sensor system. An artificial synapse, called a memristor, moves preprocessed sensory inputs to the system’s brain, a neuromorphic chip that can perform high-level signal processing.

“It’s very satisfying to post about systems integration,” Lee said. “We are now able to tell a complete story, from materials to integration to application, and present a vision of biomimetic sensor systems. I think our sensor will be particularly useful in robotics that relies on combined sensory inputs and real-time embedded processing. »

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Nigeria to complete digitization of passport processing by December – Official https://infiweb.org/nigeria-to-complete-digitization-of-passport-processing-by-december-official/ Sun, 09 Oct 2022 07:59:37 +0000 https://infiweb.org/nigeria-to-complete-digitization-of-passport-processing-by-december-official/ The minister of the Interior, Rauf Aregbesolasaid the full digitization of Nigerian passport processes would be completed by December.Mr. Aregbesola revealed this when he was featured at the News Agency of Nigeria (NAN) forum in Abuja. He said full digitization would completely eliminate any form of contact between passport applicants and immigration officers. According to […]]]>

The minister of the Interior, Rauf Aregbesolasaid the full digitization of Nigerian passport processes would be completed by December.
Mr. Aregbesola revealed this when he was featured at the News Agency of Nigeria (NAN) forum in Abuja.

He said full digitization would completely eliminate any form of contact between passport applicants and immigration officers.

According to him, this will eliminate the corruption inherent in the system.

The minister said the project was one of the priorities of President Muhammadu Buhari’s administration.

“We are there and by December we will eliminate all manual processing of passports.

“Now we still have manual parts, because the files are still opened manually.

“By December, especially in the busiest passport processing centers, there will be no manual segment of passport processing, every part will be digitized,” he added.

According to him, there is no shortage of passport books in the country and he advised applicants to start processing their passports at least six months before the intended time of travel.

“If you need a passport now, start the process early, don’t start processing efforts two weeks before your trip.


“If you don’t, you have already created problems for yourself, because the system, after the capture, which is the registration of your data, we harmonize it with the database of the National Commission for the Management of the identity (NIMC),” he said.

Aregbesola also urged passport applicants to ensure that their names and other details match their details in the national identity database.

“Each identity document should be the same to facilitate capture,” he said, adding that even mismatches in names could create delays in passport processing.

“You have to understand what it is. It is a presidential order that the new passport system should be such that all data, everything relating to you as an individual must be identical and harmonized.

“What you have in the passport, which is the most secure identity document, should be the same for every other aspect of you, whether it’s in the bank or in the national identity database.

“When you come to us to register, after filling out your online form, you come for data entry, and what you are doing there is harmonizing what you have filed in your form and your bio-data as we move forward.

“So when your name doesn’t match what we have, your data information is not the same on the relevant platforms, we will have problems with passport processing,” he said.

Don’t associate with touts, corrupt NIS officials

Mr Aregbesola also urged Nigerians to stop patronizing touts, scammers and unscrupulous immigration officials when applying for Nigerian passports.

He said this was necessary to stop corruption in the system.

He said Nigerians must resolve to send touts, scam artists and unscrupulous immigration agents out of business.

“An illegitimate commercial company had been created around the passport.


ALSO READ: Why Nigerians are experiencing delays in issuing international passports – Official


“It requires the commitment, dedication and participation of Nigerians to weed out and get rid of these illegitimate businesses,” he said.

The Minister said that as long as Nigerians want a shortcut to passport processing, problems will continue to arise in the issuance process.

According to him, those who frequent touts and unscrupulous passport officials face the most challenges in the process.

He therefore said that passport applicants should follow due process and help root out corruption and instill integrity in passport administration.

“Please avoid any recourse to get the passport through third party, canvasser or scammers, by starting the process early.

“If I’m going to recommend, I’ll say start, unless it’s an emergency, start treatment six months before expiration or renewal or get a new one.

“If you start six months in advance, there will be no problem. And why is six months recommended by me? Because that’s the minimum period you can even process any visa,” he said.

Mr Aregbesola said that within six months, no matter how reckless the human factor involved, there would be no concerns.

The minister called on the media and the public to help reduce the threat and encourage passport applicants to do the right thing at all times.

(NOPE)


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