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Sakura, Musim Semi, dan Kamu

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Thank you.

Japan

Di post ini saya bagi beberapa part ya. Semoga bantu kalian yang pingin main ke Jepang via Taiwan.

VISA

Untuk pengurusan visa, kita bisa pakai visa turis. Relatif sangat gampang. 1-3 hari saja prosesnya. Untuk step-step dan berkasnya relatif sangat-sangat mudah. Check these out! 1. Passport (FC and original) 2. Visa application form (bisa download disini) 3. Photos (2 inch) 4. ARC (FC and original) 5. Sertifikat sekolah, bisa sertifikat beasiswa. Plus Student ID (FC and original) 6. Bank-account (min 30 ribu, negotiable) 7. Itinerary (contoh punya saya) 8. Flight ticket 9. Hotel booking

TRICK AND TIPS Hotel Saya prefer untuk makek Agoda karena sangat mudah untuk pemesanan dan relatif murah. Dan kalau pingin dapat harga yang miring, mending kita pilih hotel yang ada di kota kecil. Jangan di kota besar. Soalnya harganya bisa sangat jauh berbeda.

Akomodasi Untuk akomodasi, saya prefer untuk ambil uang di ATM sana. Jangan ditiru sih, ini hanya karena saya terlalu malas untuk cari valas. Untuk pertimbangan, berikut saya kasih total akomodasi saya sebelum dan selama tinggal di Jepang selama 5 hari.

Tickets: China Airlines 10,576 NTD Hotels: Agoda (4 malam 5 hari) 8,813 NTD Visa fee 820 NTD Eat, travel, and souvenirs 12,077 NTD TOTAL 32,286 NTD

Halal Food

Buat yang muslim, tentu pertimbangan pertama adalah makanan. Untuk itu, saya kasih tips khusus untuk mendapatkan makanan halal friendly. Caranya kita bisa nulis “halal booklet” versi japan. Misal kita bisa nulis begini: “Halo, saya seorang muslim. Saya tidak makan semua jenis daging (babi, sapi, ayam, kambing, dll). Saya juga tidak minum alkohol dan sake. Bahan makanan saya tidak mengandung minyak babi atau minyak hewani. Saya bisa makan seafood dan sayur-sayuran. Buah-buahan OK. Thanks.” Nah kita bisa minta tolong orang Jepang untuk translatein kata-kata di atas. Bentuknya jadi kayak begini.

Internet and One/Five Day Pass Nah, paling penting lagi nih, internet. Kalau saya kemarin prefer untuk beli paket internet personal di bandara. Dapat 2 GB kalau gak salah. Lumayan OK. Kalau untuk travel pass, kita bisa milih one day pass untuk explore suatu kota. Dengan travel pass, kita gak perlu pusing bayar bus, JR, atau subways berkali-kali. Jatuhnya lebih murah juga. Kalau kita ke Fukuoka, kita bisa beli di Bandara atau Station Hakata.

Photos

#Journey

Give a Talk about NU Student Association on NTUST Muslim Welcome Party

Introducing Nahdlatul Ulama as the largest Islamict Community in the world in Taiwan

Talk about nahwu and shorof, which related to the grammatical procedure in English

Share the experiences during staying in Taiwan for these 2 years

#phdstudent

EZway Install TensorFlow

Here I wanna provide a tutorial how to install TensorFlow framework for deep learning in EZway.

Please follow the setup on this link below:

http://blog.nitishmutha.com/tensorflow/2017/01/22/TensorFlow-with-gpu-for-windows.html

#tensorflow #deeplearning

Trip to Malaysia

It was my second international conference on IEEE. I was submitted this paper in the beginning of this year and have an opportunity to have a journey to Malaysia. I think Malaysia, especially Kuching Sarawak is worth place to have a relaxation since it not as crowded as Taipei.

My trip could be as categorized as long jouerney trip since from Taipei, I need to transit to Kuala Lumpur before arrive to Kuching. Meanwhile, for going back to Taiwan, I went to Kinabalu first then departed to Taiwan.

The bridge which will connects between town side and kampoong side

Down to the Kuching river

Left side is town, while the other side is ‘kampoong’

Riverside view

From him I learned, ‘Kerjaan ini memang letih la, tapi tak punya kerjaan lebih letih la’

China street as in Taipei

One of iconic place in Kuching

Me when presented my paper

English Man monument

For the first time having a free style eat (the food just poured in the table without plate)

Flight to Taipei

Another vacation place

Gala dinner

See, the big river is not quite in health condition. I thought that it has been contaminated.

#Journey #photography

Defense the Master Thesis

Yes, finally. I can successfully defense my master degree in front of four Professors. Presenting this work is very joyful, also use ‘kupyah’ is full of pride as muslim. To get this state, much work need to be done, since my laboratory have a high expectation on all the members. I need to get 1 IEEE paper accepted and submit 1 journal in IEEE Transactions on. Also, I need to revise 1 unfinished senior paper and do submit it into IEEE conference.

Finally as my acknowledgement, I am grateful to Allah for establishing me to finish this master thesis. In addition, I would like to thank to my advisers Professor Wen-Hsien, Fang and Professor Yie-Tarng, Chen for all the guidance. Their guidance has been essential to me as a budding researcher in computer vision and machine learning. Thank you for pushing me beyond my limit. It was both an honour and a great privilege to work with them.

Hmm, studying at NTUST was great for me. I was fortunate to have met brilliant students and wonderful friends, including EE 401-2 lab member, Bapel UT Taiwan, PCI Nahdlatul Ulama Taiwan, and Ngaji Bareng member. Also, my profound gratitude to 1-118 roommates — Adrian Chriswanto, Erick, Alrezza, Hilmil, Nizar, Billy, Farid, and also my partner — Rizard, Kai, Her Long, Kevin, 莊永安, 陳佳豪, 尤盧鴻, 薛惟鴻, 賴朝翔, 方立德 and everyone who has not been mentioned for providing me with unfailing support and continuous encouragement throughout my years of study and through the process of researching and writing this thesis.

This journey would not have been possible without Google and StackOverflow, which always provide some suggestions when I got stuck on my work. Finally, I must express my deep gratitude to my parents, brother, and sister who always support me from Indonesia. This accomplishment would not have been possible without them.

Thank you. Also, see you all in the next fall semester. I’ll join this lab again to pursue my PhD degree. I hope more publications will be accepted next year.

#taiwan #studyintaiwan #studylife

Hari ini saya belajar kepada teman saya, Wahid Dian. Sama dengan saya, dia jebolan Taiwan, bedanya sekarang dia sudah pulang mengabdi ke tanah air. Pada sebuah wawancara, dia ditanya, apa alasan Anda ingin menjadi dosen? Jawabannya sangat menginspirasi. Supaya mendapat barokah.

learning

City Tour Singapore

If you have a long transit time in Singapore, I highly recommend you to try the FREE city tour. When I was there, I took this opportunity to get into many sightseeing place in Singapore, including Marina Sands By The Bay, Garden By The Bay, Port, etc. It was fun, especially when I was there, the city is prepared for the F1 (Formula One) race.

Garden by the Bay

Marina Sand by the Bay

Install Tensorflow and Related Problem

In this post, I would like to post how to install Tensorflow which actually quite easy task in Ubuntu. Please follow these steps: #cpu sudo pip install tensorflow # gpu sudo pip install tensorflow-gpu # or if you want to specific to some versions, please add this syntax: # note that for this instance, its refers to Tensorflow GPU version 0.12.0 sudo pip install tensorflow-gpu==0.12.0

Here, some related problems. If you want to use CUDA 8.0, please do not use the latest tensorflow, which is do not install tensorflow with this syntax : “sudo pip-install tensorflow-gpu”. Why? because the latest tensorflow satisfy to CUDA 9.0. Hence, please use spesific version of GPU such as 0.12.0, 1.14, etc.

# test python import tensorflow as tf tf.__version__

#ee401_2 #deep learning #machine learning #tutorial

Short Trip to Hong Kong

It was very joyful and grateful to have the opportunity to visit Hong Kong (HK). I never imagined before but thats life going on. My vacation was supported by my laboratory so I do not need to spend much money for all the accommodations, including round trip place ticket, local ticket (bus, metro, taxi, etc), foods, and hotel. I was lucky to have this facilities from my laboratory.

First flight with EVA Air.

HK International Airport.

Scene from conference vanue, Hotel Grand Harbour Kownlon.

The conference time.

The scene of the room for my oral presentation.

Exploiting Lantau Island with Ngong Ping 360. It was so fun to see a best view for a 25 minute ride. It only costs $185 HKD to get the best experience to see a breathtaking panorama of the Hong Kong International Airport, verdant, mountainous terrain of Lantau Island, Tian Tan Buddha and the 360-degree view of Ngong Ping Plateau. Thanks to @andy1994723 for the help and recommendation.

It was lucky, the weather supported of my journey. I was there, Disneyland Resort. Unfortunately time is limited, hence it forced me to back soon. Out ot topic, Hong Kong is a good place with a good public transportation. Surprisingly, the MTR is faster than MRT Taipei and the most important one, it's connected the islands. It will be cool if we (Indonesia) can adopt it to connect some of our islands. In here, I learn that public transportation is such a key if we (Indonesia) wanna be a better country.

Thats was my journey in HK. It was fun and full of joyful. I hope I can visit HK again later.

#Journey #photography

Presenting the IEEE ICME

It was my first international presentation during my study and it was very fun. I do feel grateful that I can join this big conference. My paper is about the temporal aggregation on first-person video using Hilbert-Huang transform methodology. So in this paper, I combined the deep learned approach and signal analysis approach to identify the trend and the pattern of first-person video features.

Why this is important? First-person videos are the arduous type feature since it recorded on first-person perspective. To record the videos, usually GoPro or such egocentric camera will be mounted on the head of the subject and let the subject perform some actions or activities. Due to the natural motion of the head’s subject, the features which generated from such algorithm will be so noisy. Some of challenges are background clutter, noise and unstable features, heavy camera motion, etc. Hence, a good approach need to be proposed to work on this kind of features.

For more explanation, you can consider to see my slide on here.

Picture with my second advisor, Professor Yie-Tarng Chen.

#publications

Easy Install Caffe

Here a brief tutorial to setup Caffe.

# download the sources, here I am using caffe faster rcnn, basically all the caffe source are quite te same procedure, so you can used this tutorial to build the other sources. git clone https://github.com/sanghoon/caffe/tree/6068dd04ea93cca9fcee036628fdb3ea95b4ebcd

# configure the setting cd caffe cp Makefile.config.example Makefile.config gedit Makefile.config

# change based on your computer env. Mine, are like these configs: OPENCV_VERSION := 3 CUDA_DIR := /usr/local/cuda-8.0 # if you wanna use python: PYTHON_INCLUDE := /usr/include/python2.7 \ /usr/lib/python2.7/dist-packages/numpy/core/include \ /usr/local/lib/python2.7/dist-packages/numpy/core/include # if you wanna use in MATLAB: MATLAB_DIR := /usr/local/MATLAB/R2016b # I didn't use cudnn for personal issue

# install prerequirements sudo apt-get install libprotobuf-dev libleveldb-dev libsnappy-dev libopencv-dev libhdf5-serial-dev protobuf-compiler sudo apt-get install --no-install-recommends libboost-all-dev

For Ubuntu 16.04, run this code below:

sudo apt-get install libgflags-dev libgoogle-glog-dev liblmdb-dev

For Ubuntu < 16.04, run these codes below:

# glog wget https://github.com/google/glog/archive/v0.3.3.tar.gz tar zxvf v0.3.3.tar.gz cd glog-0.3.3 ./configure make && make install # gflags wget https://github.com/schuhschuh/gflags/archive/master.zip unzip master.zip cd gflags-master mkdir build && cd build export CXXFLAGS="-fPIC" && cmake .. && make VERBOSE=1 make && make install # lmdb git clone https://github.com/LMDB/lmdb cd lmdb/libraries/liblmdb make && make install

Go to the root Caffe directory and continue

# go to the root of caffe folder, j8 used 8 proc, its depend on your computer capability make all -j8

# depend on your setup, if you wanna used caffe in python, u need to do this make pycaffe

# if you wanna use caffe on MATLAB make matcaffe

# to test it make runtest

# enable to our python export PYTHONPATH=our_caffe_path/python:$PYTHONPATH source ~/.bashrc

MakeFile Config example:

## Refer to http://caffe.berkeleyvision.org/installation.html # Contributions simplifying and improving our build system are welcome!

# cuDNN acceleration switch (uncomment to build with cuDNN). # USE_CUDNN := 1

# CPU-only switch (uncomment to build without GPU support). # CPU_ONLY := 1

# uncomment to disable IO dependencies and corresponding data layers # USE_OPENCV := 0 # USE_LEVELDB := 0 # USE_LMDB := 0

# uncomment to allow MDB_NOLOCK when reading LMDB files (only if necessary) # You should not set this flag if you will be reading LMDBs with any # possibility of simultaneous read and write # ALLOW_LMDB_NOLOCK := 1

# Uncomment if you're using OpenCV 3 # OPENCV_VERSION := 3 OPENCV_VERSION := 3

# To customize your choice of compiler, uncomment and set the following. # N.B. the default for Linux is g++ and the default for OSX is clang++ # CUSTOM_CXX := g++

# CUDA directory contains bin/ and lib/ directories that we need. # CUDA_DIR := /usr/local/cuda CUDA_DIR := /usr/local/cuda-9.0 # On Ubuntu 14.04, if cuda tools are installed via # "sudo apt-get install nvidia-cuda-toolkit" then use this instead: # CUDA_DIR := /usr

# CUDA architecture setting: going with all of them. # For CUDA < 6.0, comment the *_50 lines for compatibility. CUDA_ARCH := -gencode arch=compute_50,code=sm_50 \ -gencode arch=compute_52,code=sm_52 \ -gencode arch=compute_60,code=sm_60 \ -gencode arch=compute_62,code=sm_62 \ -gencode arch=compute_61,code=compute_61

# BLAS choice: # atlas for ATLAS (default) # mkl for MKL # open for OpenBlas BLAS := atlas # Custom (MKL/ATLAS/OpenBLAS) include and lib directories. # Leave commented to accept the defaults for your choice of BLAS # (which should work)! # BLAS_INCLUDE := /path/to/your/blas # BLAS_LIB := /path/to/your/blas

# Homebrew puts openblas in a directory that is not on the standard search path # BLAS_INCLUDE := $(shell brew --prefix openblas)/include # BLAS_LIB := $(shell brew --prefix openblas)/lib

# This is required only if you will compile the matlab interface. # MATLAB directory should contain the mex binary in /bin. MATLAB_DIR := /usr/local/MATLAB/R2016b #LD_PRELOAD := /usr/local/MATLAB/R2016b/sys/os/glnxa64/libstdc++.so.6 # MATLAB_DIR := /usr/local/MATLAB/R2016b/bin/

# NOTE: this is required only if you will compile the python interface. # We need to be able to find Python.h and numpy/arrayobject.h. PYTHON_INCLUDE := /usr/include/python2.7 \ /usr/lib/python2.7/dist-packages/numpy/core/include \ /usr/local/lib/python2.7/dist-packages/numpy/core/include

# Anaconda Python distribution is quite popular. Include path: # Verify anaconda location, sometimes it's in root. # ANACONDA_HOME := $(HOME)/anaconda # PYTHON_INCLUDE := $(ANACONDA_HOME)/include \ # $(ANACONDA_HOME)/include/python2.7 \ # $(ANACONDA_HOME)/lib/python2.7/site-packages/numpy/core/include \

# Uncomment to use Python 3 (default is Python 2) # PYTHON_LIBRARIES := boost_python3 python3.5m # PYTHON_INCLUDE := /usr/include/python3.5m \ # /usr/lib/python3.5/dist-packages/numpy/core/include

# We need to be able to find libpythonX.X.so or .dylib. PYTHON_LIB := /usr/lib # PYTHON_LIB := $(ANACONDA_HOME)/lib

# Homebrew installs numpy in a non standard path (keg only) # PYTHON_INCLUDE += $(dir $(shell python -c 'import numpy.core; print(numpy.core.__file__)'))/include # PYTHON_LIB += $(shell brew --prefix numpy)/lib

# Uncomment to support layers written in Python (will link against Python libs) WITH_PYTHON_LAYER := 1

# Whatever else you find you need goes here. #INCLUDE_DIRS := $(PYTHON_INCLUDE) /usr/local/include INCLUDE_DIRS := $(PYTHON_INCLUDE) /usr/local/include /usr/include/hdf5/serial/ LIBRARY_DIRS := $(PYTHON_LIB) /usr/local/lib /usr/lib /usr/lib/x86_64-linux-gnu /usr/lib/x86_64-linux-gnu/hdf5/serial

# If Homebrew is installed at a non standard location (for example your home directory) and you use it for general dependencies # INCLUDE_DIRS += $(shell brew --prefix)/include # LIBRARY_DIRS += $(shell brew --prefix)/lib LIBRARY_DIRS += glog gflags protobuf boost_system boost_filesystem m hdf5_serial_h

# Uncomment to use `pkg-config` to specify OpenCV library paths. # (Usually not necessary -- OpenCV libraries are normally installed in one of the above $LIBRARY_DIRS.) # USE_PKG_CONFIG := 1

# N.B. both build and distribute dirs are cleared on `make clean` BUILD_DIR := build DISTRIBUTE_DIR := distribute

# Uncomment for debugging. Does not work on OSX due to https://github.com/BVLC/caffe/issues/171 # DEBUG := 1

# The ID of the GPU that 'make runtest' will use to run unit tests. TEST_GPUID := 0

# enable pretty build (comment to see full commands) Q ?= @

#tutorial #deeplearning

Install OpenCV3.3 in Ubuntu 16.04 with CUDA8.0 Inside

Here, I give a brief tutorial on how to install openCV3.2 on Ubuntu, please follow this instruction step by step.

Useful links: pyimagesearch debugvn

# install prerequirements sudo apt-get install build-essential sudo apt-get install cmake git libgtk2.0-dev pkg-config libavcodec-dev libavformat-dev libswscale-dev sudo apt-get install python-dev python-numpy libtbb2 libtbb-dev libjpeg-dev libpng-dev libtiff-dev libjasper-dev libdc1394-22-dev sudo apt-get install libavcodec-dev libavformat-dev libswscale-dev libv4l-dev sudo apt-get install libxvidcore-dev libx264-dev sudo apt-get install libgtk-3-dev sudo apt-get install libatlas-base-dev gfortran sudo apt-get install python2.7-dev python3.5-dev

# to be able to use with python3, you should install pip3 first sudo apt-get update sudo apt-get -y install python3-pip sudo apt-get update

# make a build folder and generate with cmake cd Documents # download the data from my drive with this link: <request to my email> GDRIVE

# remove my built files and then build yours cd ~/Documents/opencv-3.3.0/ rm -rf build mkdir build cd build

# configuration of the cmake cmake -D CMAKE_BUILD_TYPE=RELEASE \ -D CMAKE_INSTALL_PREFIX=/usr/local \ -D INSTALL_PYTHON_EXAMPLES=ON \ -D INSTALL_C_EXAMPLES=OFF \ -D WITH_CUDA=ON \ -D ENABLE_FAST_MATH=1 \ -D CUDA_FAST_MATH=1 \ -D WITH_CUBLAS=1 \ -D OPENCV_EXTRA_MODULES_PATH=~/Documents/opencv_contrib-3.3.0/modules \ -D BUILD_EXAMPLES=ON \ -D BUILD_opencv_xfeatures2d=OFF ..

# depend on your number of core nproc, mine 20 make -j20

# install sudo make install sudo ldconfig

# depend on your path ls -l /usr/local/lib/python2.7/site-packages # or ls -l /usr/local/lib/python2.7/dist-packages total 2092 -rw-r--r-- 1 root staff 2138812 Jun 2 14:11 cv2.so

# check python import cv2 cv2.__version__ exit()

python3 import cv2 cv2.__version__ exit()

#tutorial #deepleaning

Sun Moon Lake, Spring Break Vacation

Here I wanna share my spring vacation day in Sun Moon Lake Taichung. In my opinion, it was great deal to having break time there after working for couple of months. To get there, I am using TRA (train) from Taipei Main Station to Taichung Station. It just take about 2-3 hours and the ticket price is 375 NTD.

Actually there are three ways to get there, such as HSR (High Speed Railway) or Bus. After that, as muslim, we feel hungry, dong. So, we looking for halal food over there. Lucky us, we found Indonesian Warung that provide many Indonesian food. There is a new record for me when I eat there. That the first time for me to drink ‘es teh’. The legendary beverage of Indonesia. Finally, it just spend 140 NTD to eat ‘pecel dara’ and ‘es teh’.

By arrived in Taichung, so we already in the middle of the journey. It still take a half again to get into the destination. We take bus 6670 (as I remember, the bus is specially for Sun Moon Lake destination). I bought two way trip, which mean for go and back. It just spend about 350 NTD. After about 2 hours, finally we get there safely.

In there, you can go to visitor center information to get more better knowledge. There are many packages for vacation. I choose package for boat service which take 150 NTD. It will bring us to discover the lake with the boat.

Around the lake, you can find many destinations such as High Trail Way, Pagoda, many temples, and gondola. Unlucky me, I cannot get into pagoda and gondola.

I need to mention that I hike this way.

Finally, in the top we can see the lake with top view.

Finally in the sunset, we back to the first destination using the same boat again.

Then, we can spend the afternoon time by listen street music.

Seriously, she did well on singing. The sound very pure.

Finally, to get back to Taipei, I am using HSR which cost 675 NTD. It really fast, about 1 hour to get there.

For summary, it costed about: 1. 350 NTD Ticket Taipei to Taichung 2. 350 NTD Ticket Taichung to Sun Moon Lake for two trips 3. 140 NTD Breakfast in Indonesian Warung 4. 150 NTD Boat’s package in Sun Moon Lake 5. 675 NTD HSR Ticket to back to Taipei 6. 500 NTD Eating and the other in Sun Moon Lake place -------------------------------------- Total 2165 NTD Last word, happy spring vacation!

#studylife #studyintaiwan

Sebuah Senja

Sebuah karya indah dari Seno Gumira Ajidarma

Sequel 1 : https://www.youtube.com/watch?v=LAr7qfTloUo

Sequel 2 : https://www.youtube.com/watch?v=vS3KCrpYfrU

Sequel 3 : https://www.youtube.com/watch?v=aCe5AGBDvGk

Sequel 4 : https://www.youtube.com/watch?v=LAr7qfTloUo

#cerita

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