coldnew

SSL is an important security and privacy feature for all websites. Its details are outlined in this wikipedia [article] ("http://en.wikipedia.org/wiki/Secure_Sockets_Layer"). At Scibler, we use SSL certificates, encrypting all traffic to and fro from our servers. SSL is a public-key based asymmetric encryption scheme for symmetric key exchange. Symmetric keys are used for payload encryption. On our servers, we use embedded jetty (ring jetty adapter), with the clojure [ring] (https://github.com/ring-clojure) library to handle the http specific functionality.

This is a tutorial about installing SSL certificates on jetty webservers. SSL certificates are X.509 certificates that can be self-signed (authorized by Scibler) or can be signed by trusted third-parties. Trusted third-party certificates are the ones that a Internet user and browsers trust the most. Trusted third-party certification authorities issue certificates per domain and charge a nominal yearly fee.

####Pre-Requisites

• The Java JDK has to be

coldnew

#!/usr/bin/env bash

# A basic Self Signed SSL Certificate utility
# by Andrea Giammarchi @WebReflection

# https://www.webreflection.co.uk/blog/2015/08/08/bringing-ssl-to-your-private-network

# # to make it executable and use it
# $ chmod +x certificate
# $ ./certificate # to read the how-to

coldnew

How to install cockpit on Debian/Ubuntu

$ git clone https://github.com/cockpit-project/cockpit.git
$ cd cockpit

Install latest nodejs

$ curl -sL https://deb.nodesource.com/setup_6.x | sudo -E bash -
$ sudo apt-get install -y nodejs

coldnew

#ThinkDSP 文件版本 0.10.0 ##目錄

• 前言
• 第一章 聲音與訊號 Sounds and signals
• 第二章 諧波 Harmonics
• 第三章 非週期訊號 Non-periodic signals
• 第四章 噪音 Noise
• 第五章 自相關 Autocorrelation

coldnew

#include <stdio.h>

int main()
{
    int a = 42;
    printf("%d\n", a);
    return 0;
}

coldnew

int main()
{
    int a = 42;
    printf("%d\n", a);
}

coldnew

    ...
    BL calc    ; Jump to calc
    ...        ; Execute here after return
    ...

calc:                 ; function body
    ADD r0, r1, r2    ; do some calculate here
    MOV pc, r14       ; PC = R14 to return
    

coldnew

Implementing the k-means jump method: Part Three

After implementing Sugar & James jump method and applying it straightforwardly to a few data sets, we're ready to throw it a few curveballs. This will demonstrate both its robustness and some necessary aspects of setting it up for success.

Again we need some functions we built in part one and part two. Feel free to skip this part if you don't need the review and you're not following along with a REPL. If you are following along in the REPL, here's the full Clojure source.

(def iris (i/to-matrix (incd/get-dataset :iris)))

coldnew

/*
      ____      _____
    /\__  \   /\  ___\
    \/__/\ \  \ \ \__/_
        \ \ \  \ \____ \
        _\_\ \  \/__/_\ \
      /\ _____\  /\ _____\
      \/______/  \/______/

   Copyright (C) 2011 Joerg Seebohn

coldnew

Implementing the k-means jump method: Part Two

After implementing Sugar & James' jump method and exploring its application to Fisher's iris data in Part One of this series, we're now ready to apply the jumps-in-distortions test to some other sample data sets. Pure Clojure source here.

Remember these functions from earlier? We'll be using them again.

(defn assoc-distortions
  "Given a number `transformation-power-y` and a seq of maps