gangliao

#define POLYNOMIAL 0xD8  /* 11011 followed by 0's */

uint8_t crc_naive(uint8_t const message)
{
    uint8_t  remainder;	
    remainder = message;

    for (uint8_t bit = 8; bit > 0; --bit)
    {
        /* If the uppermost bit is a 1... */

gangliao

#!/bin/sh

set -xe

#0. clean
sudo rm -rf /etc/kubernetes/
sudo rm -rf ~/node_bin

export   http_proxy=http://10.130.14.129:8080
export   https_proxy=http://10.130.14.129:8080

gangliao

FROM ubuntu:16.04
MAINTAINER Gang Liao <gangliao@cs.umd.edu>

ARG UBUNTU_MIRROR
RUN /bin/bash -c 'if [[ -n ${UBUNTU_MIRROR} ]]; then sed -i 's#http://archive.ubuntu.com/ubuntu#${UBUNTU_MIRROR}#g' /etc/apt/sources.list; fi'

RUN apt-get update && apt-get install -y --no-install-recommends \
    git python3-pip python3-dev openssh-server g++ pkg-config \
    wget unzip unrar tar xz-utils bzip2 gzip coreutils \
    curl sed grep vim librdmacm-dev libibverbs-dev libboost-all-dev \

gangliao

---
apiVersion: v1
kind: Service
metadata:
  name: teamcity-server-instance
spec:
  ports:
  - nodePort: 8111
    port: 80
    targetPort: 8111

gangliao

cat output2 | grep cnc | awk '(print $9$10$11}' | uniq | wc -l

gangliao

// Copyright (c) 2018 Gang Liao <gangliao@cs.umd.edu>. All Rights Reserved.

// 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
// distributed under the License is distributed on an "AS IS" BASIS,

gangliao

#!/bin/sh

set -x

sudo systemctl stop docker
sudo ip link delete docker0

sudo /usr/bin/cat > /usr/lib/systemd/system/docker.service << EOF
    [Unit]
    Description=Docker Application Container Engine

gangliao

#Given the list motions=[1,1] which means the robot 
#moves right and then right again, compute the posterior 
#distribution if the robot first senses red, then moves 
#right one, then senses green, then moves right again, 
#starting with a uniform prior distribution.

p=[0.2, 0.2, 0.2, 0.2, 0.2]
world=['green', 'red', 'red', 'green', 'green']
measurements = ['red', 'green']
motions = [1,1]

gangliao

- protocol directory contains protocol files in ASCII format for training and development.

   protocol/ASVspoof2017_train.trn.txt: contains a file list to be used to train human and spoofed speech detectors.
   protocol/ASVspoof2017_dev.trl.txt : contains a development trial list to validate the spoofing detector.

    The two file have the same format and the meaning of each column is listed as follows:
        1st column: unique file ID
        2nd column: speech type identifier: genuine means the trial is original speech; spoof means the file is created with replay attack.
        3rd column: speaker ID
        4th column: RedDots common phrase ID

gangliao

Parameters:  {'no_cuda': True, 'train': True, 'test_batch_size': 10, 'batch_size': 10, 'epochs': 41, 'seed': 1, 'lr': 0.0001, 'log_interval': 10, 'eval': True, 'cuda': False, 'momentum': 0.5, 'output_dir': 'model-output/5cnn-2fc-mfm-768x400'}
Conv1: (32, 1, 3, 3)
Conv2: (48, 16, 3, 3)
Conv3: (64, 24, 3, 3)
Fc1: (128, 1512)
Fc2: (2, 128)

Train Epoch: 1 [0/3016 (0%)]    Loss: 0.679156
Train Epoch: 1 [100/3016 (3%)]  Loss: 0.690277
Train Epoch: 1 [200/3016 (7%)]  Loss: 0.671204