The L.S. Starrett Co. will be demonstrating the latest in quality control inspection technology at IMTS Booth #134130 located in the Quality Assurance Pavilion, East Hall in McCormick Place, Chicago IL from Sept 9-14, 2024.

As manufacturing and quality control becomes increasingly digital, auditing is increasingly enmeshed with technology and data analytics.

In today's tech-driven world, companies use software to collect data, but the analysis can be flawed. Charts with only specification limits, arbitrarily chosen warning and action limits, and misused Process Behavior Charts contribute to misinterpretation.

The hype around "big data" has mainly aimed at niche market sales without delivering expected benefits. Similarly, the business world's obsession with Lean Six Sigma has shown minimal returns on investment. In contrast, over the last 25 years, I've leveraged small Excel files to significantly cut costs and increase profits, often by millions of dollars, through a reliable sequence I discovered.

Statistical process control (SPC) charts are crucial for process stability, especially with improved data collection. Introduced by Walter Shewhart in the 1920s, SPC uses random samples to estimate statistics and assess variation. With better data availability, techniques like the Rbar method, which estimates standard deviation using subgroup ranges, need reevaluation.

We are going to be dissecting six data integrity issues that require resolution prior to taking any further steps into the overall quality control process.

Digital connectivity is a driving feature of our lives. While invaluable in our personal lives, it also has the potential to transform manufacturing processes. In many cases, this has already taken root. But in one area – 3D measurement activities – it has so far not been used to the fullest.

Data centers produce enormous amounts of heat and require intricate cooling systems to keep servers from overheating and running in good condition. For data centers located in regions such as South Florida that consistently experience high temperatures, efficient and well-functioning cooling systems are crucial.

The Cooling System Optimizer is an intelligent controls layer that sits between product controls in chillers and CRAHs and below the site building management system (BMS). 

HVAC contractors have an underutilized tool available to help optimize their businesses: customer data.

Location isn’t everything, but it helps. Just ask homeowners selling their property, or restaurant owners. In the HVAC world, it also rings true for some motors and drives and the professionals who work with them. That includes contractors, even if maybe not in the way that one would expect. Some current and next-gen drives will make location matter in a new way: Contractors can spend more time further away from the equipment itself.

The global data center precision air conditioning market is expected to record a compound annual growth rate (CAGR) of more than 10 percent to 2020, according to the latest market research report by Technavio.

The York^® Mission Critical Direct Evaporative Cooling (DEC) Air Handling Units (AHUs) from Johnson Controls Inc. are designed to meet data centers’ specific needs.

Not only are the right data-driven leaders required, HVAC contractors also need to go through the necessary process to build a data culture within their company.

Under these orders, AAON will provide a custom-designed thermal management system supporting a liquid cooling deployment for the customer's data centers.

The rapid expansion of data centers has raised concerns about their massive energy use and carbon footprint. However, adopting sustainable HVAC solutions can reduce a data center’s environmental impact and energy consumption.

Thermostat manufacturers say they have the studies to show that the use of their smart, connected thermostats can help homeowners save on their HVAC-related energy costs.

Posted by Xen . org security team on Nov 12

Posted by Andrew Cooper on Nov 12

Posted by Demi Marie Obenour on Nov 12

The self-contained HOBO MX1101 wireless data logger, which works with Onset’s free HOBOmobile App for logger setup and data management, enables the user to access data over a 100-foot range, at any time, from an iOS mobile device. 

The HOBO MX1102 data logger records and wirelessly transmits CO₂, temperature, and relative humidity data to mobile devices via Bluetooth Smart.

HACCP Manager Enterprise is a portable data-collecting hand-held device paired with Web-based software that allows the sharing of temperature records, checklists, and custom reports across an unlimited number of locations via a single hosted platform. 

These compact datalogging instruments offer users a durable design with flexible programming configurations and the convenience of datalogging readings in Excel format directly onto an SD card.

SD900 and SD910 three-channel DC current and DC voltage dataloggers are optimized for extended monitoring of milliamp (SD900) and millivolt (SD910) signals throughout a commercial, industrial, or residential facility.

The Extech TH30, RHT30, and RHT35 compact dataloggers are designed to provide HVACR professionals with easy access to real-time temperature, humidity, and barometric pressure readings as well as insights compiled from extended readings preformatted in Excel or PDF report formats. Users can set and forget the dataloggers with a customizable recording rate from once every 30 seconds to once every two hours, and it holds a capacity of up to 48,000 combined total readings with date and time stamps.

Frank Bacchetta of Total Comfort Group talks about how his company uses data to improve the customer experience.

With how cutthroat and competitive the HVAC market is, contractors must leverage data-driven insights and technological advancements to drive growth, attract ideal customers, and optimize customer satisfaction.

Industry figures are estimates that are derived from the best available figures supplied by a sample of AHRI member companies.

Industry figures are estimates that are derived from the best available figures supplied by a sample of AHRI member companies.

In this espisode we take a closer look at relational database systems and the concepts behind them. We start by discussing the relational paradigm, its concepts and ramifications, and go on to architectural aspects.

Recording Venue: Skype Guest: Martin Fowler and Pramod Sadalage In this episode, we talk with Pramod Sadalage and Martin Fowler about database evolution and agile database development. We discuss the basic challenges for working with a database in an agile development culture and how to include database design and most of all, database evolution, in […]

Recording Venue: Skype Guest: Michael Hunger Michael Hunger of Neo Technology, and a developer on the Neo4J database, joins Robert to discuss graph databases. Graph databases fall within the larger category of NoSQL databases but they are not primarily a solution to problems of scale. They differentiate themselves from RDBMS in offering a data model built […]

Recording Venue: Skype Guest: Michael Stonebraker Dr. Michael Stonebraker, one of the leading researchers and technology entrepreneurs in the database space, joins Robert for a discussion of database architecture and the emerging NewSQL family of databases. Dr. Stonebraker opens with his take on how the database market is segmented around a small number of use […]

Felienne interviews Jeroen Janssens about data science, examining the basic concepts, as well as the skills and tools needed to be(come) a data scientist.

Max Neunhoffer of ArangoDB discusses about multi-model databases in general, and open source ArangoDB, in specific, with show host Nishant Suneja. The show discussion covers motivation behind deploying a multi-model database in an enterprise setting, and deep dives into ArangoDB internals.

Dr. Andrii Gakhov, author of the book Probabilistic Data Structures and Algorithms for Big Data Applications talks about probabilistic data structures and their application to the big data domain with host Robert Blumen.

Peter Zaitsev explains: avoiding vendor lock-in, judging what databases are bad at, why not to copy the big players, when to "go with the crowd", when to use cloud services vs. running your own infrastructure, and the role of containerization.

Howard Chu, CTO of Symas Corp and chief architect of the OpenLDAP Project, discusses the key technical features of the Lightning Memory-mapped Database (LMDB) that make it one of the fastest, most efficient and safest embedded data stores in the world.

Pat Helland talks to host Akshay Manchale about Data Management at scale in a Microservices world. Pat talks about trends in managaging data in a distributed microservices world, immutability, idempotence, inside and outside data, descriptive...

Alex Petrov, author of Database Internals explains the ins and outs of database storage engines. What are they? How do they differ? What problems do they solve? Host Adam Gordon Bell spoke with Alex about these questions as well as how information...

Sean Knapp of Ascend.io talks to Robert Blume about data pipeline automation with an orchestration layer.

Steven Skiena speaks with SE Radio’s Adam Conrad about practical applications for data structures and algorithms, as well as take-aways on how to best study Skiena’s book when prepping for the technical interview process.

Thomas Richter is the founder of Swarm64, a Postgres extension company designed to boost performance of your Postgres instance. This episode examines the internals of Postgres, performance considerations, and relational database types.

Tomer Shiran, co-founder of Dremio, talks about managing data inside a data lake, historical changes and motivations for managing data as a data lake, and the common tools and methods for ingestion, storage, and analytics on top of the underlying data.

Audrey Lawrence of Amazon discusses Timeseries Databases and their new database offering Amazon Timestream. Philip Winston spoke with Lawrence about data modeling, ingestion, queries, performance, life-cycle management, hot data vs. cold data...

Howard Chu, CTO of Symas Corp and chief architect of the OpenLDAP project, discusses the key features of B+Tree Data Structures which make it the default selection for efficient and predictable storage of sorted data.

Kevin Hu, co-founder and CEO at Metaplane discusses "Data Observability" with host Priyanka Raghavan. The discussion touches upon Data observability roots, components, differences with software observability and tooling.

Jessi Ashdown and Uri Gilad, authors of the book "Data Governance: The Definitive Guide," discuss what data governance entails, why it's important, and how it can be implemented. Host Akshay Manchale speaks with them about why data governance...