FlashShare is a shareable flashcard app.
You can store, memorize and share every vocabulary you want.
This app is so simple, available in all languages, and also registration is not required.
■□ For whom? □■
FlashShare is for all vocabulary learners.
■□ Use cases □■
- If you get new vocabularies from dramas or textbooks, this app will
automatically search their definition and save them.
- If you want to check your memory, it will offer flash card style tests.
- If you want to learn quickly, it enables you to share your vocabulary list
with your friends only by a few steps.
■□ Features □■
- Vocabulary storage / share
- Multi language dictionary
- Pronunciation check
- Flash card style test
■□ Privacy policy □■
This app does not receive any information to identify users.
We only collect your operation history in order to improve experiences.
The data is never passed to other institutions.
■□ Recommended usage environment □■
Android4+
# This app is also available in Tablet devices.
■□ Notes □■
Even if your device meets the "Recommended usage environment",
there is a possibility that you may not be able to use this satisfactorily
due to some devices, network status, etc.
Please transfer your data by yourself when you change your device,
because this app doesn't save your vocabulary list on its server, but on your device.
■□ Message from developer □■
I hope FlashShare will support your language study.
If you like it, please enjoy it with your friends:)
Please let me know if you find any bugs or feel uncomfortable with this application.
Any information is so helpful, but also please note that this is a personal project,
so the fix will be done with best efforts.
■□ Related technologies □■
- AngularJS
- WebRTC
- IndexedDB
- Web Speech
- PhoneGap
Date: January 2017
Category: Education
WTCL is a social service for global awareness. You can figure out the outline of a city by comparing the similarities.
Date: July 2018
Category: Social Service
Social molester map in Japan
(This description is a copy of Google Translation's result. This is temporary, and will be replaced later.)
Molester Beacon is based on crime reports in trains.
It is a service aiming at promoting measures against molesting and strengthening criminal deterrence.
■ □ Molester Beacon □ ■
"It is too late after being a victim."
"No more encounter with a molester."
"Stop and catch the criminals."
The Molester Beacon responds to these requests.
In order to reduce the victims of the future, do not sleepy and let me know.
Based on report information, we will form a network of crime deterrence.
I will support your courageous behavior.
Things to do through "Molester Beacon"
· Seek help from nearby people
· Collect surrounding eyes with security buzzer / Repel the criminal
· Report the damage of molester received by himself / herself
· Report witnessed molester harm
· To grasp the trend of mortal damage in commuting and school vehicles
· To grasp the trend of mortal damage in the surrounding area
· Understand routes with heavy damage
· Teach friends about the trend of molesting damage
■ Service Outline
Through collecting information on malaise in railroad cars and releasing statistical information thereof,
It is a private non-profit service aiming at promoting countermeasures against molesting and fostering crime deterrence by strengthening society's eyes.
■ Service target area
The service target area is theoretically all routes registered with the Ministry of Land, Infrastructure and Transport.
You can use either on the ground or the underground line.
Please understand that in the case of using underground, the accuracy of the position information deteriorates.
Recommended usage environment
· OS: iOS 6 or higher, Android 4.0 or higher
· Browser: Chrome, Safari
Disclaimer
· Even if it meets the "Recommended usage environment", depending on some terminals and the communication situation at the time of use, it may not be able to acquire location information or play back audio.
· Since the availability in all domestic areas is unverified, in some areas, there is a possibility that it can not be used normally.
· This service is unrelated to the public agencies such as the National Police Agency.
Please separately contact the police, railway officials etc. for the damage report to the police.
■ Privacy policy
· Report information will not be posted in a format that can identify individuals from other users.
· Report information is released to other users as statistical information while maintaining anonymity.
· For reporting information, to investigate the arrest of the criminal and analyze the tendency of crime, it may offer according to requests by public authorities.
■ Development
This service is a service of personal management launched with sense of justice and self-satisfaction.
Because it is a public service, we are also considering the transfer of management rights for continuous service provision.
If you have public institutions or companies who raise their name on the management of this service, please contact us from "Help> Contact" within the application.
■ Contact
For those who wish to contact, please contact "Help> Contact" in the application.
We are free to carry out the article creation etc on this service subject matter. Welcome.
■ Finally
Have interest in this service, and thank you from the bottom of my heart for reading the text.
I would be pleased if you could share this service and the idea with friends and family, teachers of acquaintances, students, their parents etc.
I want to make continued efforts that do not end with self-satisfaction,
Nonetheless, with the goal of eradicating molested soon and completing its efforts
We are waiting for your cooperation from the bottom of my heart.
A javascript library to convert video input into its excitement score.
This tool tracks a video source on a web browser and evaluates its excitement score from the changing ratio of each video's frame. It enables activity scenes to be more interactive and expands the potentials of entertainment.
A sample code for homography image transformation.
This is a sample code for homography transformation with python(Numpy + PIL). It can be used even on Google App Engine because it doesn't rely on OpenCV. Both PIL and Numpy are based on C, that's why this snipet works fast. This code doesn't depend on OpenCV but only Numpy and PIL, so it can be used on Google App Engine :)
