From issues-return-7682-archive-asf-public=cust-asf.ponee.io@systemml.apache.org Fri Jan 26 15:27:28 2018 Return-Path: X-Original-To: archive-asf-public@eu.ponee.io Delivered-To: archive-asf-public@eu.ponee.io Received: from cust-asf.ponee.io (cust-asf.ponee.io [163.172.22.183]) by mx-eu-01.ponee.io (Postfix) with ESMTP id CBEBA180657 for ; Fri, 26 Jan 2018 15:27:28 +0100 (CET) Received: by cust-asf.ponee.io (Postfix) id BC0BE160C3E; Fri, 26 Jan 2018 14:27:28 +0000 (UTC) Delivered-To: archive-asf-public@cust-asf.ponee.io Received: from mail.apache.org (hermes.apache.org [140.211.11.3]) by cust-asf.ponee.io (Postfix) with SMTP id 0E387160C20 for ; Fri, 26 Jan 2018 15:27:27 +0100 (CET) Received: (qmail 27215 invoked by uid 500); 26 Jan 2018 14:27:27 -0000 Mailing-List: contact issues-help@systemml.apache.org; run by ezmlm Precedence: bulk List-Help: List-Unsubscribe: List-Post: List-Id: Reply-To: dev@systemml.apache.org Delivered-To: mailing list issues@systemml.apache.org Received: (qmail 27206 invoked by uid 99); 26 Jan 2018 14:27:27 -0000 Received: from pnap-us-west-generic-nat.apache.org (HELO spamd1-us-west.apache.org) (209.188.14.142) by apache.org (qpsmtpd/0.29) with ESMTP; Fri, 26 Jan 2018 14:27:27 +0000 Received: from localhost (localhost [127.0.0.1]) by spamd1-us-west.apache.org (ASF Mail Server at spamd1-us-west.apache.org) with ESMTP id 6B8EFC0CD0 for ; Fri, 26 Jan 2018 14:27:26 +0000 (UTC) X-Virus-Scanned: Debian amavisd-new at spamd1-us-west.apache.org X-Spam-Flag: NO X-Spam-Score: -110.311 X-Spam-Level: X-Spam-Status: No, score=-110.311 tagged_above=-999 required=6.31 tests=[ENV_AND_HDR_SPF_MATCH=-0.5, RCVD_IN_DNSWL_MED=-2.3, SPF_PASS=-0.001, T_RP_MATCHES_RCVD=-0.01, USER_IN_DEF_SPF_WL=-7.5, USER_IN_WHITELIST=-100] autolearn=disabled Received: from mx1-lw-us.apache.org ([10.40.0.8]) by localhost (spamd1-us-west.apache.org [10.40.0.7]) (amavisd-new, port 10024) with ESMTP id zZNngWaurbpK for ; Fri, 26 Jan 2018 14:27:01 +0000 (UTC) Received: from mailrelay1-us-west.apache.org (mailrelay1-us-west.apache.org [209.188.14.139]) by mx1-lw-us.apache.org (ASF Mail Server at mx1-lw-us.apache.org) with ESMTP id C93005F177 for ; Fri, 26 Jan 2018 14:27:00 +0000 (UTC) Received: from jira-lw-us.apache.org (unknown [207.244.88.139]) by mailrelay1-us-west.apache.org (ASF Mail Server at mailrelay1-us-west.apache.org) with ESMTP id 538FAE0161 for ; Fri, 26 Jan 2018 14:27:00 +0000 (UTC) Received: from jira-lw-us.apache.org (localhost [127.0.0.1]) by jira-lw-us.apache.org (ASF Mail Server at jira-lw-us.apache.org) with ESMTP id 184F821301 for ; Fri, 26 Jan 2018 14:27:00 +0000 (UTC) Date: Fri, 26 Jan 2018 14:27:00 +0000 (UTC) From: "Janardhan (JIRA)" To: issues@systemml.apache.org Message-ID: In-Reply-To: References: Subject: [jira] [Commented] (SYSTEMML-1784) Predict Earthquakes and their magnitudes. MIME-Version: 1.0 Content-Type: text/plain; charset=utf-8 Content-Transfer-Encoding: quoted-printable X-JIRA-FingerPrint: 30527f35849b9dde25b450d4833f0394 [ https://issues.apache.org/jira/browse/SYSTEMML-1784?page=3Dcom.atlass= ian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=3D1= 6341107#comment-16341107 ]=20 Janardhan commented on SYSTEMML-1784: ------------------------------------- This is for keep tracking my issues for running the scripts in distributed = fashion. It will take 3 more months to work on. This project is not open source, so only the improvements & scaling of the = scripts will be addressed here, but not the script itself. Thanks. =C2=A0 > Predict Earthquakes and their magnitudes. > ----------------------------------------- > > Key: SYSTEMML-1784 > URL: https://issues.apache.org/jira/browse/SYSTEMML-1784 > Project: SystemML > Issue Type: Epic > Components: Algorithms > Reporter: Janardhan > Assignee: Janardhan > Priority: Major > Attachments: Earthquakes magnitude predication using artificial n= eural network in northern Red Sea area..pdf > > > h3. Predicting Earthquakes with Apache SystemML. > _{color:#707070}Earthquakes take a dreadful human toll. Some 10,000 peopl= e die each year in earthquakes and their aftermath, but the toll can be muc= h higher. Over 230,000 people died in the tsunami that followed the magnitu= de 9 quake off the coast of Sumatra in 2004; more than 200,000 died in Hait= i in 2010 after the country was hit by a magnitude 7 quake; and more than 8= 00,000 are thought to have died in a quake in China in 1556.^1^{color}_ > So a better way=E2=80=94any way=E2=80=94to forecast quakes would be hugel= y valuable. > With the recent advancements in research in the fields and after some suc= cessful predictions, we strongly believe that it is possible to predict an = earthquake. > References: > 1. https://www.technologyreview.com/s/603785/machine-learning-algorithm-p= redicts-laboratory-earthquakes/ > Goal & Approach: > 1. dx.doi.org/10.1016/j.jksus.2011.05.002 > 2. https://arxiv.org/ftp/arxiv/papers/1702/1702.05774.pdf -- This message was sent by Atlassian JIRA (v7.6.3#76005)