mishazawa

Ideas

I have collected and moderated these ideas from various public sources and put into one place so that problem solvers and solution developers may find inspirations. Because I wish to update it regularly, I have setup as a single page wiki. You may try these ideas on hackathons/competitions/research; some are quite intense problems and some are not. Many of the problems were prepared keeping Dhaka/Bangladesh in mind, but of course can be applied to just about any underdeveloped/developing and sometimes developed countries.

Categories:

Eradicate Extreme Poverty and Hunger
Education
Healthcare
Governance

##Target

Protecting the privacy of the bittorrent users and protecting them from the monitoring spies making their activity much less visible by changing the way they connect to a torrent and setting a method to establish dynamic blocklists and maintain them.

##Abstract

Previous research has focused mainly on discovering monitors using trackers, this study focuses on tracking and blocking the monitors using the bittorrent peers and content discovery system only (called the DHT).

The global result is that the spies are organized to monitor automatically whatever exists in the bittorrent network, they are easy to find but difficult to follow since they might change their IP addresses and are polluting the DHT.

Clojure Destructuring Tutorial and Cheat Sheet

(Related blog post)

Simply put, destructuring in Clojure is a way extract values from a datastructure and bind them to symbols, without having to explicitly traverse the datstructure. It allows for elegant and concise Clojure code.

	//---------------------------------------------------------------------------------
	// Framebuffer demo for Nintendo DS, using the libnds library
	//---------------------------------------------------------------------------------

	#include <nds.h>

	void framebufferDemoDrawPattern() {
	int color = 0;
	for (int pixelPosition = 0; pixelPosition < SCREEN_HEIGHT*SCREEN_WIDTH; pixelPosition++) {
	VRAM_A[pixelPosition] = RGB15(color, color, color);

	#!/bin/bash

	################################################################################
	### OpenCV2 Installation Script ###
	################################################################################
	# Source code at https://github.com/arthurbeggs/scripts #
	################################################################################
	# #
	# Feel free to copy and modify this file. Giving me credit for it is your #
	# choice, but please keep references to other people's work, which I don't #

	'''This script goes along the blog post
	"Building powerful image classification models using very little data"
	from blog.keras.io.
	It uses data that can be downloaded at:
	https://www.kaggle.com/c/dogs-vs-cats/data
	In our setup, we:
	- created a data/ folder
	- created train/ and validation/ subfolders inside data/
	- created cats/ and dogs/ subfolders inside train/ and validation/
	- put the cat pictures index 0-999 in data/train/cats

	/*
	* Copyright 2016 Kevin Mark
	*
	* Licensed under the Apache License, Version 2.0 (the "License");
	* you may not use this file except in compliance with the License.
	* You may obtain a copy of the License at
	*
	* http://www.apache.org/licenses/LICENSE-2.0
	*
	* Unless required by applicable law or agreed to in writing, software

	/*
	* WARNING: Mutates the fetchContext argument (by default the window or global context).
	*
	* A crude way to intercept fetch responses, and dispatch actions as needed. Using this
	* for more global app concerns, where I may want to dispatch actions depending on the response
	* status or body. e.g. When seeing a 401, dispatch a logout action.
	*
	* In most cases, I'd recommend using a middlware as shown in redux's real-world example.
	* (https://github.com/reactjs/redux/blob/master/examples/real-world/middleware/api.js)
	*

	import numpy as np

	def func(t):
	if (t > 0.008856):
	return np.power(t, 1/3.0);
	else:
	return 7.787 * t + 16 / 116.0;

	#Conversion Matrix
	matrix = [[0.412453, 0.357580, 0.180423],

	/**
	* K.jpg's OpenSimplex 2, smooth variant ("SuperSimplex")
	*
	* More language ports, as well as legacy 2014 OpenSimplex, can be found here:
	* https://github.com/KdotJPG/OpenSimplex2
	*/

	public class OpenSimplex2S {

	private static final long PRIME_X = 0x5205402B9270C86FL;

mishazawa

Ideas

Categories:

Clojure Destructuring Tutorial and Cheat Sheet

Vectors and Sequences