DISTRACTIONS

October 18, 2017


Is there anyone in the United States who does NOT use our road systems on a daily basis?  Only senior citizens in medical facilities and those unfortunate enough to have health problems stay off the roads.  I have a daily commute of approximately thirty-seven (37) miles, one way, and you would not believe what I see.  Then again, maybe you would.  You’ve been there, done that, got the “T” shirt.

It’s no surprise to learn that information systems cause driver distraction, but recent news from the AAA Foundation for Traffic Safety indicated the problem may be worse than we thought. A study released by the organization showed that the majority of today’s information technologies are complex, frustrating, and maybe even dangerous to use. Working with researchers from the University of Utah, AAA analyzed the systems in thirty (30) vehicles, rating them on how much visual and cognitive demand they placed on drivers. The conclusion: None of the thirty-produced low demand. Twenty-three (23) of the systems generated “high” or “very high” demand.

“Removing eyes from the road for just two seconds doubles the risk for a crash,” AAA wrote in a press release. “With one in three adults using the systems available while driving, AAA cautions that using these technologies while behind the wheel can have dangerous consequences.”

In the study, University of Utah researchers examined visual (eyes-on-the-road) and cognitive (mental) demands of each system, and looked at the time required to complete tasks. Tasks included the use of voice commands and touch screens to make calls, send texts, tune the radio and program navigation. And the results were uniformly disappointing—really disappointing.

We are going to look at the twelve (12) vehicles categorized by researchers as having “very high demand” information systems. The vehicles vary from entry-level to luxury and sedan to SUV, but they all share one common trait: AAA says the systems distract drivers.  This is to me very discouraging.  Here we go.

CONCLUSIONS:

I’m definitely NOT saying don’t buy these cars but it is worth knowing and compensating for when driving.

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Portions of the following post were taken from the September 2017 Machine Design Magazine.

We all like to keep up with salary levels within our chosen profession.  It’s a great indicator of where we stand relative to our peers and the industry we participate in.  The state of the engineering profession has always been relatively stable. Engineers are as essential to the job market as doctors are to medicine. Even in the face of automation and the fear many have of losing their jobs to robots, engineers are still in high demand.  I personally do not think most engineers will be out-placed by robotic systems.  That fear definitely resides with on-line manufacturing positions with duties that are repetitive in nature.  As long as engineers can think, they will have employment.

The Machine Design Annual Salary & Career Report collected information and opinions from more than two thousand (2,000) Machine Design readers. The employee outlook is very good with thirty-three percent (33%) indicating they are staying with their current employer and thirty-six percent (36%) of employers focusing on job retention. This is up fifteen percent (15%) from 2016.  From those who responded to the survey, the average reported salary for engineers across the country was $99,922, and almost sixty percent (57.9%) reported a salary increase while only ten percent (9.7%) reported a salary decrease. The top three earning industries with the largest work forces were 1.) industrial controls systems and equipment, 2.) research & development, and 3.) medical products. Among these industries, the average salary was $104,193. The West Coast looks like the best place for engineers to earn a living with the average salary in the states of California, Washington, and Oregon was $116,684. Of course, the cost of living in these three states is definitely higher than other regions of the country.

PROFILE OF THE ENGINEER IN THE USA TODAY:

As is the ongoing trend in engineering, the profession is dominated by male engineers, with seventy-one percent (71%) being over fifty (50) years of age. However, the MD report shows an up-swing of young engineers entering the profession.  One effort that has been underway for some years now is encouraging more women to enter the profession.  With seventy-one percent (71%) of the engineering workforce being over fifty, there is a definite need to attract participants.    There was an increase in engineers within between twenty-five (25) and thirty-five (35).  This was up from 5.6% to 9.2%.  The percentage of individuals entering the profession increased as well, with engineers with less than fourteen (14) years of experience increasing five percent (5%) from last year.  Even with all the challenges of engineering, ninety-two percent (92%) would still recommend the engineering profession to their children, grandchildren and others. One engineer responds, “In fact, wherever I’ll go, I always will have an engineer’s point of view. Trying to understand how things work, and how to improve them.”

 

When asked about foreign labor forces, fifty-four percent (54%) believe H1-B visas hurt engineering employment opportunities and sixty-one percent (61%) support measures to reform the system. In terms of outsourcing, fifty-two percent (52%) reported their companies outsource work—the main reason being lack of in-house talent. However, seventy-three percent (73%) of the outsourced work is toward other U.S. locations. When discussing the future, the job force, fifty-five percent (55%) of engineers believe there is a job shortage, specifically in the skilled labor area. An overwhelming eighty-seven percent (87%) believe that we lack a skilled labor force. According to the MD readers, the strongest place for job growth is in automation at forty-five percent (45%) and the strongest place to look for skilled laborers is in vocational schools at thirty-two percent (32%). The future of engineering is dependent on the new engineers not only in school today, but also in younger people just starting their young science, technology, engineering, and mathematic (STEM) interests. With the average engineer being fifty (50) years or old, the future of engineering will rely heavily on new engineers willing to carry the torch—eighty-seven percent (87%) of our engineers believe there needs to be more focus on STEM at an earlier age to make sure the future of engineering is secure.

With being the case, let us now look at the numbers.

The engineering profession is a “graying” profession as mentioned earlier.  The next digital picture will indicate that, for the most part, those in engineering have been in for the “long haul”.  They are “lifers”.  This fact speaks volumes when trying to influence young men and women to consider the field of engineering.  If you look at “years in the profession”, “work location” and years at present employer” we see the following:

The slide below is a surprise to me and I think the first time the question has been asked by Machine Design.  How much of your engineering training is theory vs. practice? You can see the greatest response is almost fourteen percent (13.6%) with a fifty/fifty balance between theory and practice.  In my opinion, this is as it should be.

“The theory can be learned in a school, but the practical applications need to be learned on the job. The academic world is out of touch with the current reality of practical applications since they do not work in

that area.” “My university required three internships prior to graduating. This allowed them to focus significantly on theoretical, fundamental knowledge and have the internships bolster the practical.”

ENGINEERING CERTIFICATIONS:

The demands made on engineers by their respective companies can sometimes be time-consuming.  The respondents indicated the following certifications their companies felt necessary.

 

 

SALARIES:

The lowest salary is found with contract design and manufacturing.  Even this salary, would be much desired by just about any individual.

As we mentioned earlier, the West Coast provides the highest salary with several states in the New England area coming is a fairly close second.

 

SALARY LEVELS VS. EXPERIENCE:

This one should be no surprise.  The greater number of years in the profession—the greater the salary level.  Forty (40) plus years provides an average salary of approximately $100,000.  Management, as you might expect, makes the highest salary with an average being $126,052.88.

OUTSOURCING:

 

As mentioned earlier, outsourcing is a huge concern to the engineering community. The chart below indicates where the jobs go.

JOB SATISFACTION:

 

Most engineers will tell you they stay in the profession because they love the work. The euphoria created by a “really neat” design stays with an engineer much longer than an elevated pay check.  Engineers love solving problems.  Only two percent (2%) told MD they are not satisfied at all with their profession or current employer.  This is significant.

Any reason or reasons for leaving the engineering profession are shown by the following graphic.

ENGINEERING AND SOCIETY: 

As mentioned earlier, engineers are very worried about the H1-B visa program and trade policies issued by President Trump and the Legislative Branch of our country.  The Trans-Pacific Partnership has been “nixed” by President Trump but trade policies such as NAFTA and trade between the EU are still of great concern to engineers.  Trade with China, patent infringement, and cyber security remain big issues with the STEM profession and certainly engineers.

 

CONCLUSIONS:

I think it’s very safe to say that, for the most part, engineers are very satisfied with the profession and the salary levels offered by the profession.  Job satisfaction is great making the dawn of a new day something NOT to be dreaded.

AUGMENTED REALITY (AR)

October 13, 2017


Depending on the location, you can ask just about anybody to give a definition of Virtual Reality (VR) and they will take a stab at it. This is because gaming and the entertainment segments of our population have used VR as a new tool to promote games such as SuperHot VR, Rock Band VR, House of the Dying Sun, Minecraft VR, Robo Recall, and others.  If you ask them about Augmented Reality or AR they probably will give you the definition of VR or nothing at all.

Augmented reality, sometimes called Mixed Reality, is a technology that merges real-world objects or the environment with virtual elements generated by sensory input devices for sound, video, graphics, or GPS data.  Unlike VR, which completely replaces the real world with a virtual world, AR operates in real time and is interactive with objects found in the environment, providing an overlaid virtual display over the real one.

While popularized by gaming, AR technology has shown a prowess for bringing an interactive digital world into a person’s perceived real world, where the digital aspect can reveal more information about a real-world object that is seen in reality.  This is basically what AR strives to do.  We are going to take a look at several very real applications of AR to indicate the possibilities of this technology.

  • Augmented Reality has found a home in healthcare aiding preventative measures for professionals to receive information relative to the status of patients. Healthcare giant Cigna recently launched a program called BioBall that uses Microsoft HoloLense technology in an interactive game to test for blood pressure and body mass index or BMI. Patients hold a light, medium-sized ball in their hands in a one-minute race to capture all the images that flash on the screen in front of them. The Bio Ball senses a player’s heartbeat. At the University of Maryland’s Augmentarium virtual and augmented reality laboratory, the school is using AR I healthcare to improve how ultrasound is administered to a patient.  Physicians wearing an AR device can look at both a patient and the ultrasound device while images flash on the “hood” of the AR device itself.
  • AR is opening up new methods to teach young children a variety of subjects they might not be interested in learning or, in some cases, help those who have trouble in class catching up with their peers. The University of Helsinki’s AR program helps struggling kids learn science by enabling them to virtually interact with the molecule movement in gases, gravity, sound waves, and airplane wind physics.   AR creates new types of learning possibilities by transporting “old knowledge” into a new format.
  • Projection-based AR is emerging as a new way to case virtual elements in the real world without the use of bulky headgear or glasses. That is why AR is becoming a very popular alternative for use in the office or during meetings. Startups such as Lampix and Lightform are working on projection-based augmented reality for use in the boardroom, retail displays, hospitality rooms, digital signage, and other applications.
  • In Germany, a company called FleetBoard is in the development phase for application software that tracks logistics for truck drivers to help with the long series of pre-departure checks before setting off cross-country or for local deliveries. The Fleet Board Vehicle Lense app uses a smartphone and software to provide live image recognition to identify the truck’s number plate.  The relevant information is super-imposed in AR, thus speeding up the pre-departure process.
  • Last winter, Delft University of Technology in the Netherlands started working with first responders in using AR as a tool in crime scene investigation. The handheld AR system allows on-scene investigators and remote forensic teams to minimize the potential for site contamination.  This could be extremely helpful in finding traces of DNA, preserving evidence, and getting medical help from an outside source.
  • Sandia National Laboratories is working with AR as a tool to improve security training for users who are protecting vulnerable areas such as nuclear weapons or nuclear materials. The physical security training helps guide users through real-world examples such as theft or sabotage in order to be better prepared when an event takes place.  The training can be accomplished remotely and cheaply using standalone AR headsets.
  • In Finland, the VTT Technical Research Center recently developed an AR tool for the European Space Agency (ESA) for astronauts to perform real-time equipment monitoring in space. AR prepares astronauts with in-depth practice by coordinating the activities with experts in a mixed-reality situation.
  • The U.S. Daqri International uses computer vision for industrial AR to enable data visualization while working on machinery or in a warehouse. These glasses and headsets from Daqri display project data, tasks that need to be completed and potential problems with machinery or even where an object needs to be placed or repaired.

CONCLUSIONS:

Augmented Reality merges real-world objects with virtual elements generated by sensory input devices to provide great advantages to the user.  No longer is gaming and entertainment the sole objective of its use.  This brings to life a “new normal” for professionals seeking more and better technology to provide solutions to real-world problems.

AMAZING GRACE

October 3, 2017


There are many people responsible for the revolutionary development and commercialization of the modern-day computer.  Just a few of those names are given below.  Many of whom you probably have never heard of.  Let’s take a look.

COMPUTER REVOLUNTARIES:

  • Howard Aiken–Aiken was the original conceptual designer behind the Harvard Mark I computer in 1944.
  • Grace Murray Hopper–Hopper coined the term “debugging” in 1947 after removing an actual moth from a computer. Her ideas about machine-independent programming led to the development of COBOL, one of the first modern programming languages. On top of it all, the Navy destroyer USS Hopper is named after her.
  • Ken Thompson and David Ritchie–These guys invented Unix in 1969, the importance of which CANNOT be overstated. Consider this: your fancy Apple computer relies almost entirely on their work.
  • Doug and Gary Carlson–This team of brothers co-founded Brøderbund Software, a successful gaming company that operated from 1980-1999. In that time, they were responsible for churning out or marketing revolutionary computer games like Myst and Prince of Persia, helping bring computing into the mainstream.
  • Ken and Roberta Williams–This husband and wife team founded On-Line Systems in 1979, which later became Sierra Online. The company was a leader in producing graphical adventure games throughout the advent of personal computing.
  • Seymour Cray–Cray was a supercomputer architect whose computers were the fastest in the world for many decades. He set the standard for modern supercomputing.
  • Marvin Minsky–Minsky was a professor at MIT and oversaw the AI Lab, a hotspot of hacker activity, where he let prominent programmers like Richard Stallman run free. Were it not for his open-mindedness, programming skill, and ability to recognize that important things were taking place, the AI Lab wouldn’t be remembered as the talent incubator that it is.
  • Bob Albrecht–He founded the People’s Computer Company and developed a sincere passion for encouraging children to get involved with computing. He’s responsible for ushering in innumerable new young programmers and is one of the first modern technology evangelists.
  • Steve Dompier–At a time when computer speech was just barely being realized, Dompier made his computer sing. It was a trick he unveiled at the first meeting of the Homebrew Computer Club in 1975.
  • John McCarthy–McCarthy invented Lisp, the second-oldest high-level programming language that’s still in use to this day. He’s also responsible for bringing mathematical logic into the world of artificial intelligence — letting computers “think” by way of math.
  • Doug Engelbart–Engelbart is most noted for inventing the computer mouse in the mid-1960s, but he’s made numerous other contributions to the computing world. He created early GUIs and was even a member of the team that developed the now-ubiquitous hypertext.
  • Ivan Sutherland–Sutherland received the prestigious Turing Award in 1988 for inventing Sketchpad, the predecessor to the type of graphical user interfaces we use every day on our own computers.
  • Tim Paterson–He wrote QDOS, an operating system that he sold to Bill Gates in 1980. Gates rebranded it as MS-DOS, selling it to the point that it became the most widely-used operating system of the day. (How ‘bout them apples.?)
  • Dan Bricklin–He’s “The Father of the Spreadsheet. “Working in 1979 with Bob Frankston, he created VisiCalc, a predecessor to Microsoft Excel. It was the killer app of the time — people were buying computers just to run VisiCalc.
  • Bob Kahn and Vint Cerf–Prolific internet pioneers, these two teamed up to build the Transmission Control Protocol and the Internet Protocol, better known as TCP/IP. These are the fundamental communication technologies at the heart of the Internet.
  • Nicklus Wirth–Wirth designed several programming languages, but is best known for creating Pascal. He won a Turing Award in 1984 for “developing a sequence of innovative computer languages.”

ADMIREL GRACE MURRAY HOPPER:

At this point, I want to highlight Admiral Grace Murray Hopper or “amazing Grace” as she is called in the computer world and the United States Navy.  Admiral Hopper’s picture is shown below.

Born in New York City in 1906, Grace Hopper joined the U.S. Navy during World War II and was assigned to program the Mark I computer. She continued to work in computing after the war, leading the team that created the first computer language compiler, which led to the popular COBOL language. She resumed active naval service at the age of 60, becoming a rear admiral before retiring in 1986. Hopper died in Virginia in 1992.

Born Grace Brewster Murray in New York City on December 9, 1906, Grace Hopper studied math and physics at Vassar College. After graduating from Vassar in 1928, she proceeded to Yale University, where, in 1930, she received a master’s degree in mathematics. That same year, she married Vincent Foster Hopper, becoming Grace Hopper (a name that she kept even after the couple’s 1945 divorce). Starting in 1931, Hopper began teaching at Vassar while also continuing to study at Yale, where she earned a Ph.D. in mathematics in 1934—becoming one of the first few women to earn such a degree.

After the war, Hopper remained with the Navy as a reserve officer. As a research fellow at Harvard, she worked with the Mark II and Mark III computers. She was at Harvard when a moth was found to have shorted out the Mark II, and is sometimes given credit for the invention of the term “computer bug”—though she didn’t actually author the term, she did help popularize it.

Hopper retired from the Naval Reserve in 1966, but her pioneering computer work meant that she was recalled to active duty—at the age of 60—to tackle standardizing communication between different computer languages. She would remain with the Navy for 19 years. When she retired in 1986, at age 79, she was a rear admiral as well as the oldest serving officer in the service.

Saying that she would be “bored stiff” if she stopped working entirely, Hopper took another job post-retirement and stayed in the computer industry for several more years. She was awarded the National Medal of Technology in 1991—becoming the first female individual recipient of the honor. At the age of 85, she died in Arlington, Virginia, on January 1, 1992. She was laid to rest in the Arlington National Cemetery.

CONCLUSIONS:

In 1997, the guided missile destroyer, USS Hopper, was commissioned by the Navy in San Francisco. In 2004, the University of Missouri has honored Hopper with a computer museum on their campus, dubbed “Grace’s Place.” On display are early computers and computer components to educator visitors on the evolution of the technology. In addition to her programming accomplishments, Hopper’s legacy includes encouraging young people to learn how to program. The Grace Hopper Celebration of Women in Computing Conference is a technical conference that encourages women to become part of the world of computing, while the Association for Computing Machinery offers a Grace Murray Hopper Award. Additionally, on her birthday in 2013, Hopper was remembered with a “Google Doodle.”

In 2016, Hopper was posthumously honored with the Presidential Medal of Freedom by Barack Obama.

Who said women could not “do” STEM (Science, Technology, Engineering and Mathematics)?


In preparation for this post, I asked my fifteen-year old grandson to define product logistics and product supply chain.  He looked at me as though I had just fallen off a turnip truck.  I said you know, how does a manufacturer or producer of products get those products to the customer—the eventual user of the device or commodity.  How does that happen? I really need to go do my homework.  Can I think about this and give you an answer tomorrow?

SUPPLY CHAIN LOGISTICS:

Let’s take a look at Logistics and Supply Chain Management:

“Logistics typically refers to activities that occur within the boundaries of a single organization and Supply Chain refers to networks of companies that work together and coordinate their actions to deliver a product to market. Also, traditional logistics focuses its attention on activities such as procurement, distribution, maintenance, and inventory management. Supply Chain Management (SCM) acknowledges all of traditional logistics and also includes activities such as marketing, new product development, finance, and customer service” – from Essential of Supply Chain Management by Michael Hugos.

“Logistics is about getting the right product, to the right customer, in the right quantity, in the right condition, at the right place, at the right time, and at the right cost (the seven Rs of Logistics)” – from Supply Chain Management: A Logistics Perspective By John J. Coyle et al

Now, that wasn’t so difficult, was it?  A good way to look at is as follows:

MOBILITY AND THE SUPPLY CHAIN:

There have been remarkable advancements in supply chain logistics over the past decade.  Most of those advancements have resulted from companies bringing digital technologies into the front office, the warehouse, and transportation to the eventual customer.   Mobile technologies are certainly changing how products are tracked outside the four walls of the warehouse and the distribution center.  Realtime logistics management is within the grasp of many very savvy shippers.  To be clear:

Mobile networking refers to technology that can support voice and/or data network connectivity using wireless, via a radio transmission solution. The most familiar application of mobile networking is the mobile phone or tablet or i-pad.  From real-time goods tracking to routing assistance to the Internet of Things (IoT) “cutting wires” in the area that lies between the warehouse and the customer’s front door is gaining ground as shippers grapple with fast order fulfillment, smaller order sizes, and ever-evolving customer expectations.

In return for their tech investments, shippers and logistics managers are gaining benefits such as short-ended lead times, improved supply chain visibility, error reductions, optimized transportation networks and better inventory management.  If we combine these advantages we see that “wireless” communications are helping companies work smarter and more efficiently in today’s very fast-paced business world.

MOBILITY TRENDS:

Let’s look now at six (6) mobility trends.

  1. Increasingly Sophisticated Vehicle Communications—There was a time when the only contact a driver had with home base was after an action, such as load drop-off, took place or when there was an in-route problem. Today, as you might expect, truck drivers, pilots and others responsible for getting product to the customer can communicate real-time.  Cell phones have revolutionized and made possible real-time communication.
  2. Trucking Apps—By 2015, Frost & Sullivan indicated the size of the mobile trucking app market hit $35.4 billion dollars. Mobile apps are being launched, targeting logistics almost constantly. With the launch of UBER Freight, the competition in the trucking app space has heated up considerably, pressing incumbents to innovate and move much faster than ever before.
  3. Its’ Not Just for the Big Guys Anymore: At one time, fleet mobility solutions were reserved for larger companies that could afford them.  As technology has advanced and become more mainstream and affordable, so have fleet mobility solution.
  4. Mobility Helps Pinpoint Performance and Productivity Gaps: Knowing where everything is at any one given time is “golden”. It is the Holy Grail for every logistics manager.  Mobility is putting that goal within their reach.
  5. More Data Means More Mobile Technology to Generate and Support Logistics: One great problem that is now being solved, is how to handle perishable goods and refrigerated consumer items.  Shippers who handle these commodities are now using sensors to detect trailer temperatures, dead batteries, and other problems that would impact their cargos.  Using sensors, and the data they generate, shippers can hopefully make much better business decisions and head off problems before they occur.  Sensors, if monitored properly, can indicate trends and predict eventual problems.
  6. Customers Want More Information and Data—They Want It Now: Customer’s expectations for real-time shipment data is now available at their fingertips without having to pick up a telephone or send an e-mail.  Right now, that information is available quickly online or with a smartphone.

CONCLUSIONS: 

The world is changing at light speed, and mobility communications is one technology making this possible.  I have no idea as to where we will be in ten years, but it just might be exciting.

V2V TECHNOLOGY

September 9, 2017


You probably know this by now if you read my postings—my wife and I love to go to the movies.  I said GO TO THE MOVIES, not download movies but GO.  If you go to a matinée, and if you are senior, you get a reduced rate.  We do that. Normally a movie beginning at 4:00 P.M. will get you out by 6:00 or 6:30 P.M. Just in time for dinner. Coming from the Carmike Cinema on South Terrace, I looked left and slowly moved over to the inside lane—just in time to hit car in my “blind side”.  Low impact “touching” but never the less an accident anyway.  All cars, I’m told, have blind sides and ours certainly does.  Side mirrors do NOT cover all areas to the left and right of any vehicle.   Maybe there is a looming solution to that dilemma.

V2V:

The global automotive industry seems poised and on the brink of a “Brave New World” in which connectivity and sensor technologies come together to create systems that can eliminate life-threatening collisions and enable automobiles that drive themselves.  Knows as Cooperative Intelligent Transportation Systems, vehicle-to-vehicle or V2V technologies open the door for automobiles to share information and interact with each other, as well as emerging smart infrastructure. These systems, obviously, make transportation safer but offer the promise of reducing traffic congestion.

Smart features of V2V promise to enhance drive awareness via traffic alerts, providing notifications on congestion, obstacles, lane changing, traffic merging and railway crossing alerts.  Additional applications include:

  • Blind spot warnings
  • Forward collision warnings
  • Sudden brake-ahead warnings
  • Approaching emergency vehicle warnings
  • Rollover warnings
  • Travel condition data to improve maintenance services.

Already The Department of Transportation “Vehicle-to-Vehicle Communications: Readiness of V2V Technology for Application”, DOT HS 812 014, details the technology as follows:

“The purpose of this research report is to assess the readiness for application of vehicle-to-vehicle (V2V) communications, a system designed to transmit basic safety information between vehicles to facilitate warnings to drivers concerning impending crashes. The United States Department of Transportation and NHTSA have been conducting research on this technology for more than a decade. This report explores technical, legal, and policy issues relevant to V2V, analyzing the research conducted thus far, the technological solutions available for addressing the safety problems identified by the agency, the policy implications of those technological solutions, legal authority and legal issues such as liability and privacy. Using this report and other available information, decision-makers will determine how to proceed with additional activities involving vehicle-to-vehicle (V2V), vehicle-to-infrastructure (V2I), and vehicle-to-pedestrian (V2P) technologies.”

The agency estimates there are approximately five (5) million annual vehicle crashes, with attendant property damage, injuries, and fatalities. While it may seem obvious, if technology can help drivers avoid crashes, the damage due to crashes simply never occurs.  This is the intent of an operative V2V automotive system. While these “vehicle-resident” crash avoidance technologies can be highly beneficial, V2V communications represent an additional step in helping to warn drivers about impending danger. V2V communications use on-board dedicated short-range radio communication devices to transmit messages about a vehicle’s speed, heading, brake status, and other information to other vehicles and receive the same information from the messages, with range and “line-of-sight” capabilities that exceed current and near-term “vehicle-resident” systems — in some cases, nearly twice the range. This longer detection distance and ability to “see” around corners or “through” other vehicles and helps V2V-equipped vehicles perceive some threats sooner than sensors, cameras, or radar.  This can warn drivers accordingly. V2V technology can also be fused with those vehicle-resident technologies to provide even greater benefits than either approach alone. V2V can augment vehicle-resident systems by acting as a complete system, extending the ability of the overall safety system to address other crash scenarios not covered by V2V communications, such as lane and road departure. A fused system could also augment system accuracy, potentially leading to improved warning timing and reducing the number of false warnings.

Communications represent the keystone of V2V systems.  The current technology builds upon a wireless standard called Dedicated Shor- Range Communication or DSRC.  DSRC is based upon the IEEE 802.11p protocol.  Transmissions of these systems consists of highly secure, short-to-medium-range, high-speed wireless communication channels, which enable vehicles to connect with each other for short periods of time.  Using DSRC, two or more vehicles can exchange basic safety messages, which describe each vehicle’s speed, position, heading, acceleration rate, size and braking status.  The system sends these messages to the onboard units of surrounding vehicles ten (10) times per second, where they are interpreted and provide warnings to the driver.  To achieve this, V2V systems leverage telematics to track vehicles via GPS monitoring the location, movements, behavior and status of each vehicle.

Based on preliminary information, NHTSA currently estimates that the V2V equipment and supporting communications functions (including a security management system) would cost approximately $341 to $350 per vehicle in 2020 dollars. It is possible that the cost could decrease to approximately $209 to $227 by 2058, as manufacturers gain experience producing this equipment (the learning curve). These costs would also include an additional $9 to $18 per year in fuel costs due to added vehicle weight from the V2V system. Estimated costs for the security management system range from $1 to $6 per vehicle, and they will increase over time due to the need to support an increasing number of vehicles with the V2V technologies. The communications costs range from $3 to $13 per vehicle. Cost estimates are not expected to change significantly by the inclusion of V2V-based safety applications, since the applications themselves are software and their costs are negligible.  Based on preliminary estimates, the total projected preliminary annual costs of the V2V system fluctuate year after year but generally show a declining trend. The estimated total annual costs range from $0.3 to $2.1 billion in 2020 with the specific costs being dependent upon the technology implementation scenarios and discount rates. The costs peak to $1.1 to $6.4 billion between 2022 and 2024, and then they gradually decrease to $1.1 to $4.6 billion.

In terms of safety impacts, the agency estimates annually that just two of many possible V2V safety applications, IMA (Integrated Motor Assists) and LTA (Land Transport Authority), would on an annual basis potentially prevent 25,000 to 592,000 crashes, save 49 to 1,083 lives, avoid 11,000 to 270,000 MAIS 1-5 injuries, and reduce 31,000 to 728,000 property-damage-only crashes by the time V2V technology had spread through the entire fleet. We chose those two applications for analysis at this stage because they are good illustrations of benefits that V2V can provide above and beyond the safety benefits of vehicle-resident cameras and sensors. Of course, the number of lives potentially saved would likely increase significantly with the implementation of additional V2V and V2I safety applications that would be enabled if vehicles were equipped with DSRC capability.

CONCLUSIONS: 

It is apparent to me that we are driving (pardon the pun) towards self-driving automobiles. I have no idea as to when this technology will become fully adopted, if ever.  If that happens in part or across the vehicle spectrum, there will need to be some form of V2V. One car definitely needs to know where other cars are relative to position, speed, acceleration, and overall movement. My wife NEVER goes to sleep or naps while I’m driving—OK maybe one time as mentioned previously.  She is always remarkably attentive and aware when I’m behind the wheel.  This comes from experience gained over fifty-two years of marriage.  “The times they are a-changing”.   The great concern I have is how we are to maintain the systems and how “hackable” they may become.  As I awoke this morning, I read the following:

The credit reporting agency Equifax said Thursday that hackers gained access to sensitive personal data — Social Security numbers, birth dates and home addresses — for up to 143 million Americans, a major cybersecurity breach at a firm that serves as one of the three major clearinghouses for Americans’ credit histories.

I am sure, like me, that gives you pause.  If hackers can do that, just think about the chaos that can occur if V2V systems can be accessed and controlled.  Talk about keeping one up at night.

As always, I welcome your comments.


WHERE WE ARE:

The manufacturing industry remains an essential component of the U.S. economy.  In 2016, manufacturing accounted for almost twelve percent (11.7%) of the U.S. gross domestic product (GDP) and contributed slightly over two trillion dollars ($2.18 trillion) to our economy. Every dollar spent in manufacturing adds close to two dollars ($1.81) to the economy because it contributes to development in auxiliary sectors such as logistics, retail, and business services.  I personally think this is a striking number when you compare that contribution to other sectors of our economy.  Interestingly enough, according to recent research, manufacturing could constitute as much as thirty-three percent (33%) of the U.S. GDP if both its entire value chain and production for other sectors are included.  Research from the Bureau of Labor Statistics shows that employment in manufacturing has been trending up since January of 2017. After double-digit gains in the first quarter of 2017, six thousand (6,000) new jobs were added in April.  Currently, the manufacturing industry employs 12,396,000 people, which equals more than nine percent (9%) of the U.S. workforce.   Nonetheless, many experts are concerned that these employment gains are soon to be halted by the ever-rising adoption of automation. Yet automation is inevitable—and like in the previous industrial revolutions, automation is likely to result in job creation in the long term.  If we look back at the Industrial Revolution.

INDUSTRIAL REVOLUTION:

The Industrial Revolution began in the late 18th century when a series of new inventions such as the spinning jenny and steam engine transformed manufacturing in Britain. The changes in British manufacturing spread across Europe and America, replacing traditional rural lifestyles as people migrated to cities in search of work. Men, women and children worked in the new factories operating machines that spun and wove cloth, or made pottery, paper and glass.

Women under 20 made comprised the majority of all factory workers, according to an article on the Industrial Revolution by the Economic History Association. Many power loom workers, and most water frame and spinning jenny workers, were women. However, few women were mule spinners, and male workers sometimes violently resisted attempts to hire women for this position, although some women did work as assistant mule spinners. Many children also worked in the factories and mines, operating the same dangerous equipment as adult workers.  As you might suspect, this was a great departure from times prior to the revolution.

WHERE WE ARE GOING:

In an attempt to create more jobs, the new administration is reassessing free trade agreements, leveraging tariffs on imports, and promising tax incentives to manufacturers to keep their production plants in the U.S. Yet while these measures are certainly making the U.S. more attractive for manufacturers, they’re unlikely to directly increase the number of jobs in the sector. What it will do, however, is free up more capital for manufacturers to invest in automation. This will have the following benefits:

  • Automation will reduce production costs and make U.S. companies more competitive in the global market. High domestic operating costs—in large part due to comparatively high wages—compromise the U.S. manufacturing industry’s position as the world leader. Our main competitor is China, where low-cost production plants currently produce almost eighteen percent (17.6%) of the world’s goods—just zero-point percent (0.6%) less than the U.S. Automation allows manufacturers to reduce labor costs and streamline processes. Lower manufacturing costs results in lower product prices, which in turn will increase demand.

Low-cost production plants in China currently produce 17.6% of the world’s goods—just 0.6% less

than the U.S.

  • Automation increases productivity and improves quality. Smart manufacturing processes that make use of technologies such as robotics, big data, analytics, sensors, and the IoT are faster, safer, more accurate, and more consistent than traditional assembly lines. Robotics provide 24/7 labor, while automated systems perform real-time monitoring of the production process. Irregularities, such as equipment failures or quality glitches, can be immediately addressed. Connected plants use sensors to keep track of inventory and equipment performance, and automatically send orders to suppliers when necessary. All of this combined minimizes downtime, while maximizing output and product quality.
  • Manufacturers will re-invest in innovation and R&D. Cutting-edge technologies. such as robotics, additive manufacturing, and augmented reality (AR) are likely to be widely adopted within a few years. For example, Apple® CEO Tim Cook recently announced the tech giant’s $1 billion investment fund aimed at assisting U.S. companies practicing advanced manufacturing. To remain competitive, manufacturers will have to re-invest a portion of their profits in R&D. An important aspect of innovation will involve determining how to integrate increasingly sophisticated technologies with human functions to create highly effective solutions that support manufacturers’ outcomes.

Technologies such as robotics, additive manufacturing, and augmented reality are likely to be widely adopted soon. To remain competitive, manufacturers will have to re-invest a portion of their profits in R&D.

HOW AUTOMATION WILL AFFECT THE WORKFORCE:

Now, let’s look at the five ways in which automation will affect the workforce.

  • Certain jobs will be eliminated.  By 2025, 3.5 million jobs will be created in manufacturing—yet due to the skills gap, two (2) million will remain unfilled. Certain repetitive jobs, primarily on the assembly line will be eliminated.  This trend is with us right now.  Retraining of employees is imperative.
  • Current jobs will be modified.  In sixty percent (60%) of all occupations, thirty percent (30%) of the tasks can be automated.  For the first time, we hear the word “co-bot”.  Co-bot is robotic assisted manufacturing where an employee works side-by-side with a robotic system.  It’s happening right now.
  • New jobs will be created. There are several ways automation will create new jobs. First, lower operating costs will make U.S. products more affordable, which will result in rising demand. This in turn will increase production volume and create more jobs. Second, while automation can streamline and optimize processes, there are still tasks that haven’t been or can’t be fully automated. Supervision, maintenance, and troubleshooting will all require a human component for the foreseeable future. Third, as more manufacturers adopt new technologies, there’s a growing need to fill new roles such as data scientists and IoT engineers. Fourth, as technology evolves due to practical application, new roles that integrate human skills with technology will be created and quickly become commonplace.
  • There will be a skills gap between eliminated jobs and modified or new roles. Manufacturers should partner with educational institutions that offer vocational training in STEM fields. By offering students on-the-job training, they can foster a skilled and loyal workforce.  Manufacturers need to step up and offer additional job training.  Employees need to step up and accept the training that is being offered.  Survival is dependent upon both.
  • The manufacturing workforce will keep evolving. Manufacturers must invest in talent acquisition and development—both to build expertise in-house and to facilitate continuous innovation.  Ten years ago, would you have heard the words, RFID, Biometrics, Stereolithography, Additive manufacturing?  I don’t think so.  The workforce MUST keep evolving because technology will only improve and become a more-present force on the manufacturing floor.

As always, I welcome your comments.

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