A couple of days ago I wrote about a Japanese pun I came across while surfing and doing language learning. I wanted to know more about how these kind of language-tricks work in Japan. And this is what I’ve found:
“Japanese puns, or 駄洒落 (dajare), can be not only groan- or laughter-inducing, but they can also help you improve both the depth and breadth of your language ability.”
Ever since I’ve first visited Tokyo in 2012 I fell in love with country, culture and the city. On average I was there 4 times a year to do business.
After leaving Rakuten I went there with my wife in October 2017. The idea was to show her what I was enthusiastically mumbling about all the time when I came back from Japan.
When staying in Tokyo I’ve stayed in different areas across the city. From very center to not-so-much-center. Given the great public transportation and taxi system in Tokyo it always was a great experience.
So after a couple of times I developed a preference for an area that was in walking distance to the Rakuten office, was well connected to the public transport system and offered all sorts of starting-points for daily life on a longer term. It ticked a lot of boxes.
The areas name is Musashi-Kosugi (武蔵小杉). And it actually is in the city of Kawasaki in Kanagawa prefecture. Effectively just across the Tama river from Ota-city in Tokyo prefecture.
Like any great neighborhood everything is conveniently close and the service everywhere is spotless. The hotel of preference is fairly priced and extremely close to the two train stations. So you can get anywhere quick by train.
You can see the hotel location and the train tracks pretty well on this next map. The red portion shows the viewing direction of the night-picture below.
And like any great neighborhood there’s loads of current information available and lots of community activities around the year. In the case of Musashi-Kosugi you can have the more official website and the more up-to-date blog.
If you plan to visit Tokyo I can only recommend you take a look at more off center options of accomodation. I’ve always enjoyed being able to leave the center of buzz like Shibuya, Ropongi and get back into my bubble of quietness without compromising on everything else than party-and-entertainment options. Actual longer-term daily-life is much more enjoyable off-center – as you can imagine.
And for the end of this post: Let us enjoy a sunset with parts of the Musashi-Kosugi skyline:
It had been mentioned before: regarding my own health until 2015 I did not have any structure and understanding when it came to food, sports, weight and all that is connected.
I used to be around 147kg (324lbs) when I made the decision to change that. Less than 8 months later I reached the weight that is considered “normal weight” for my body height.
Maybe more important than losing weight and going from class III obesity to normal is to keep in the range offering the biggest health benefits.
Apart from sport and being more active the key to managing weight in general for me was to understand and keep learning about food from many different perspectives.
Like in good science to learn more and make progress you got to listen and take well notes. Some things only can be understood when there’s enough historical data available. Not only the amount of time logged but also what is being logged is quite important.
In a normal week I am used to one-meal-a-day which I am preparing myself together with my wife. We eat in the evening – this makes things so much easier as there’s one time and space where everything regarding food comes together during routine days.
Also this routine works well in the long run. If we only got 10 minutes to prepare we will be able to hit the nutrition targets with either much or not-so-much quantities of food. In the last 4 years we practiced and played and created recipes for all situations you can think of. In a way we have made our simple-and-healthy-recipes the fall-back position we are using when we otherwise would have eaten something unhealthy.
Where do we track? There are so many options but since 2015 we stick to MyFitnessPal.
We are still happy using this as the base for tracking as the app is bearable even on Android and the food database that it uses is offering a good-enough data detail level.
So after more than 4 years of doing this a lot of data as come together. As I am doing it in sync with my wife a lot of things happened…
We have not become vegans. We eat meat still and we still like it. It’s just that the quality of meat we eat has gotten much better and with this the number of times we eat meat have reduced to maybe once a week at most.
We have started to eat things and experiment cooking with ingredients we did not know a year ago. While we keep adding ingredients all the time we find that you can optimize and gain so much joy from just jumping in head first into new tastes and recipes.
We’ve developed a “body-feel”. Apart from the taste buds changing completely over time I could not have thought of how much food influences how you feel. Different nutritious values lead to very different feels afterwards. I would go as far to say that most of the headaches I very frequently had while being overweight could have been traced back to what I’ve eaten just before.
So what now? We will keep tracking. Maybe not on a cloud service but on our self-hosted service. Maybe you got a good hint towards such self-hosted solutions to enter and track nutrition over time.
In the interesting field of IoT a lot of buzz is made around the predictive maintenance use cases. What is predictive maintenance?
The main promise of predictive maintenance is to allow convenient scheduling of corrective maintenance, and to prevent unexpected equipment failures.
The key is “the right information in the right time”. By knowing which equipment needs maintenance, maintenance work can be better planned (spare parts, people, etc.) and what would have been “unplanned stops” are transformed to shorter and fewer “planned stops”, thus increasing plant availability. Other potential advantages include increased equipment lifetime, increased plant safety, fewer accidents with negative impact on environment, and optimized spare parts handling.
So in simpler terms: If you can predict that something will break you can repair it before it breaks. This improvse reliability and save costs, even though you repaired something that did not yet need repairs. At least you would be able to reduce inconveniences by repairing/maintaining when it still is easy to be done rather than under stress.
You would probably agree with me that these are a very industry-specific use cases. It’s easy to understand when it is tied to an actual case that happened.
Let me tell you a case that happened here last week. It happened to Leela – a 10 year old white British short hair lady cat with gorgeous blue eyes:
Ever since her sister had developed a severe kidney issue we started to unobtrusively monitor their behavior and vital signs. Simple things like weight, food intake, water intake, movement, regularities (how often x/y/z).
When Leela now visits her litter box she is automatically weighed and it’s taken note that she actually used it.
A lot of data is aggregated on this and a lot of things are being done to that data to generate indications of issues and alerts.
This alerted us last weekend that there could be an issue with Leelas health as she was suddenly visiting the litter box a lot more often across the day.
We did not notice anything with Leela. She behaved as she would everyday, but the monitoring did detect something was not right.
What had happened?
On the morning of March 9th Leela already had been to the litter box above average. So much above average that it tripped the alerting system. You can see the faded read area in the top of the graph above showing the alert threshold. The red vertical line was drawn in by me because this was when we got alerted.
Now what? She behaved totally normal just that she went a lot more to the litter box. We where concerned as it matched her sisters behavior so we went through all the checklists with her on what the issue could be.
We monitored her closely and increased the water supplied as well as changed her food so she could fight a potential bladder infection (or worse).
By Monday she did still not behave different to a degree that anyone would have been suspicious. Nevertheless my wife took her to the vet. And of course a bladder infection was diagnosed after all tests run.
She got antibiotics and around Wednesday (13th March) she actually started to behave much like a sick cat would. By then she already was on day 3 of antibiotics and after just one day of presumable pain she was back to fully normal.
Interestingly all of this can be followed up with the monitoring. Even that she must have felt worse on the 13th.
With everything back to normal now it seems that this monitoring has really lead us to a case of “predictive cat maintenance”. We hopefully could prevent a lot of pain with acting quick. Which only was possible through the monitoring in place.
Health is a huge topic for the future of devices and gadgets. Everyone will casually start to have more and more devices in their daily lifes. Unfortunately most of those won’t be under your own control if you do not insist on being in control.
You do not have to build stuff yourself like I did. You only need to make the right purchase decisions according to things important to you. And one of these things on that checklist should be: “am I in full control of the data flow and data storage”.
If you are not. Do not buy!
By coincidence the idea of having the owner of the data in full control of the data itself is central to my current job at MindSphere. With all the buzz and whistles around the Industry IoT platform it all breaks down to keep the actual owner of the data in control and in charge. A story for another post!
Since 2011 we’ve got this Boogie Board in the household. It’s simply a passive LCD panel on which you can write with a plastic pen. When you do you’re interacting with the liquid crytals and you switch their state. So what was black becomes white.
So we got this tablet and it’s magnetically pinned to our fridge. And whenever we’ve booked the next trip we’re crossing off days by coloring them in a grid.
My usual twitter use looks like this: I am scrolling through the timeline reading up things and I see an ad. I click block and never again will I see anything from this advertiser. As I’ve written here earlier.
As Twitter is also a place of very disturbing content there are numerous services built around the official block list functionality. One of those services is “Block Together“.
Block Together is designed to reduce the burden of blocking when many accounts are attacking you, or when a few accounts are attacking many people in your community. It uses the Twitter API. If you choose to share your list of blocks, your friends can subscribe to your list so that when you block an account, they block that account automatically. You can also use Block Together without sharing your blocks with anyone.
Working in the IT industry requires us to spend copious amounts of time focused on our screens mostly sitting at our desks. But this does not have to be that way.
For me sitting down for long times creates a lot of unwanted effects and essentially leads to me not being able to focus anymore properly.
In 2015 my wife and I attacked that “health problem” as a team. And in the 12 months until 2016 we both lost 120 kg / 260lbs added up together in body weight and completely changed the way we deal with food and sport.
With that I also changed the way I work. Sitting down was from now on the exception.
Coincident with this lifestyle change my then-employer Rakuten rolled out it’s then new workplace concept and everyone got great electric stand-up desks that allowed you to change the height up and down effortlessly.
When I started with SIEMENS of course their workplace concept included standing desks as well!
For those times I am working from home one of the desks is equipped with a standing desk with an additional twist.
So this desk let’s you work while standing. But it also allows you to walk while you work. You can set the speed from 0 to 6.4 km/h.
Given a good headset I personally can attend conference calls without anyone noticing I am walking with about 4 km/h paces.
When I am spending a whole day working from this desk it is not uncommon to accumulate 25-40 km of total distance without really noticing it while doing so. Of course: later the day you’ll feel 40km in one way or the other
It took a bit of getting used to as your feet are doing something entirely different from what the rest of the body is doing. But at least for me it started to feel natural very quickly.
I’ve put two curved 24″ monitors onto it and aside from the docking ports for a company notebook I am using thinclients to get my usual work machines screens teleported there. There’s a bit of a media set-up as well as sometimes I am using one of the screens for watching videos.
For those now interested in the purchase of such a great walking desk: I can only recommend doing so! But be aware of some thoughts:
There are not a lot of vendors of such appliances. And those vendors are not selling a lot of them. This means: be ready for a € 1000+ purchase and be ready to shell out some good money on extended warranties.
My first desk + treadmill was replaced 3 times before. It was LifeSpans first generation of treadmill desks and it just kept exploding. I actually had glowing sparks of fire spitting out of the first generation treadmill.
I’ve returned it for no money loss and waited for the second generation. This current, second generation of LifeSpan treadmill desks is really doing it for me for longer than the first generation ever had without breaking. Looking at the use of the device I would see it as a purchase over 5 years. After 5 years of actual and consistent use I wouldn’t be overly annoyed if the mechanical parts of the appliance would stop working. I am not expecting such a device to live much longer anyhow.
Energy consumption wise it’s quite impressive how much energy this thing consumes. I wasn’t quite expecting those levels. So here’s for you to know:
So just around 500 Watts when in use. The 65W base load is the monitors and computers on top.
I can only recommend to try something like this out. Unfortunately it’s quite hard to find a place to try it out. At least I was not able to try before buy.
But then again I could answer your questions if you had any.
When you take a picture with an iPhone these days it does generate haptic feedback – a “kachung” you can feel. And a shutter sound.
Thankfully the shutter sound can be disabled in many countries. I know it can’t be disabled on iPhones sold in Japan. Which kept me from buying mine in Tokyo. Even when you switch the regions to Europe / Germany it’ll still produce the shutter sound.
Anyway: With my iPhone, which was purchased in Germany, I can disable the shutter sound. But it won’t disable the haptic “kachung”.
It’s interesting that Apple added this vibration to the activity of taking a picture. Other camera manufactures go out of their way to decouple as much vibration as possible even to the extend that they will open the shutter and mirror in their DSLRs before actually making the picture – just so that the vibration of the mirror movement and shutter isn’t inducing vibrations to the act of taking the picture.
With mirror less cameras that vibration is gone. But now introduced back again?