indranil32

# ruby is by default installed on IOS
# install bew on hosted mac hardware
ruby -e "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)" < /dev/null 2> /dev/null

# install openconnect via brew
brew install openconnect

# Store the VPN_PASSWORD, VPN_USER, VPN_PROTOCOL and VPN_HOST in secrets
# check http://www.infradead.org/openconnect/ for more details
echo $VPN_PASSWORD | sudo openconnect --user=$VPN_USER --protocol=$VPN_PROTOCOL --passwd-on-stdin --background $VPN_HOST

indranil32

Install and Create Emulators using AVDMANAGER and SDKMANAGER

TL;DR

For generic skin emulator with default apis (without google apis):

1. List All System Images Available for Download: sdkmanager --list | grep system-images

2. Download Image: sdkmanager --install "system-images;android-29;default;x86"

indranil32

# This file contains the fastlane.tools configuration
# You can find the documentation at https://docs.fastlane.tools
#
# For a list of all available actions, check out
#
#     https://docs.fastlane.tools/actions
#
# For a list of all available plugins, check out
#
#     https://docs.fastlane.tools/plugins/available-plugins

indranil32

apply plugin: 'maven-publish'
..
..
def versionMajor = 1
def versionMinor = 0
def versionPatch = 0
..
..
publishing {
    repositories {

indranil32

The UN standard UN/CEFACT "Smart Containers" can be found here - https://www.unece.org/fileadmin/DAM/cefact/brs/BRS-SmartContainer_v1.0.pdf

The related DCSA specifications can be found here - https://dcsa.org/initiatives/iot-gateway-connectivity-interface-standards/

https://www.linkedin.com/posts/digital-container-shipping-association-dcsa_dcsa-press-release-iot-standards-for-container-activity-6673462139732148224-XMzr https://www.linkedin.com/posts/digital-container-shipping-association-dcsa_seven-businesses-now-compliant-with-new-dcsa-activity-6692081107292319744-Lgx3

Few related news links :- https://www.cma-cgm.com/services/smart-containers https://www.apl.com/our-offerings/value-added-services/traxens

indranil32

# name of your application
APPLICATION = lorawan

# Use the ST B-L072Z-LRWAN1 board by default:
BOARD ?= b-l072z-lrwan1

# This has to be the absolute path to the RIOT base directory:
RIOTBASE ?= $(CURDIR)/../..

# Default radio driver is Semtech SX1276 (used by the B-L072Z-LRWAN1 board)

indranil32

#include <string.h>
#include "xtimer.h"
#include "net/loramac.h"
#include "semtech_loramac.h"
#include "hts221.h"
#include "hts221_params.h"
#include "board.h"

/* Declare globally the loramac descriptor */
static semtech_loramac_t loramac;

indranil32

class RunnableThread implements Runnable {
    def obj1Private
    def obj2Private
    public RunnableThread(paramObj1, paramObj2) {
        obj1Private = paramObj1
        obj2Private = paramObj2
    }
    
    @Override
    public void run(){

indranil32

{
  "name": "tensorflowjshandpose",
  "version": "0.0.1",
  "private": true,
  "scripts": {
    "android": "react-native run-android",
    "ios": "react-native run-ios",
    "start": "react-native start",
    "test": "jest",
    "lint": "eslint ."

indranil32

import React, { useState, useEffect, useRef } from 'react';
import { Text, View, StyleSheet, Platform, Image, Button } from 'react-native';
import * as Permissions from 'expo-permissions';
import { Camera, Constants } from 'expo-camera';
import * as tf from '@tensorflow/tfjs';
import * as handpose from '@tensorflow-models/handpose';
import * as fp from 'fingerpose';
import { cameraWithTensors } from '@tensorflow/tfjs-react-native';
//import '@tensorflow/tfjs-backend-cpu';
import '@tensorflow/tfjs-react-native';