PROSIDING Judul Karya Ilmiah : Calculation of Phantom

LEMBAR

HASIL PENILAIAN SEJAWAT SEBIDANG ATAU PEER REVIEW

KARYA ILMIAH : PROSIDING

Judul Karya Ilmiah : Calculation of Phantom Volume for Computed Tomography (CT) Scan Images

Penulis/ Jumlah Penulis : Kusworo Adi, Catur Edi Widodo, Aris Sugiharto, Qidir Maulana B. S., Adi Pamungkas/

5 orang

Status Pengusul : Penulis ke-1

Identitas Prosiding : a. Judul Prosiding : The 3rd International Conference on

Information Technology, Computer and

Electrical Engineering (ICITACEE 2016)

b. ISBN/ISSN : 978-1-5090-0890-2

c. Thn Terbit, Tempat Pelaks. : 2016, Semarang

d. Penerbit/Organiser : Department of Electrical Engineering Universitas

Diponegoro/ IEEE

e. Alamat Repository/Web : https://www.icitacee.undip.ac.id/index.php/icitace

e/2016

Alamat Artikel : https://ieeexplore.ieee.org/document/7892443

f. Terindeks di (jika ada) : Scopus SJR: 0,13 (2018)

https://www.scimagojr.com/journalsearch.php?q=

21100812376&tip=sid&clean=0

Kategori Publikasi Makalah : √ Prosiding Forum Ilmiah Internasional

(beri pada kategori yang tepat) Prosiding Forum Ilmiah Nasional

Hasil Penilaian Peer Review :

Komponen Yang Dinilai Nilai Reviewer

Nilai Rata-rata Reviewer 1 Reviewer 2

a. Kelengkapan unsur isi prosiding (10%)

2,40 2,70 2,55

b. Ruang lingkup dan kedalaman

pembahasan (30%)

7,40 8,80 8,10

c. Kecukupan dan kemutahiran

data/informasi dan metodologi (30%)

7,40 8,90 8,15

d. Kelengkapan unsur dan kualitas

terbitan/jurnal (30%)

7,40 8,90 8,15

Total = (100%)

24,60 29,30 26,95

Semarang, 8 Mei 2020

Reviewer 1

Prof. Dr. Muhammad Nur, DEA

NIP. 195711261990011001

Unit Kerja : Departemen Fisika - FSM UNDIP

Reviewer 2

Prof. Dr. Heri Sutanto, SSi, MSi

NIP. 197502151998021001


https://www.icitacee.undip.ac.id/index.php/icitacee/2016


https://ieeexplore.ieee.org/document/7892443

https://www.scimagojr.com/journalsearch.php?q=21100812376&tip=sid&clean=0


LEMBAR





5 orang





b. ISBN/ISSN : 978-1-5090-0890-2



Diponegoro/ IEEE


e/2016








Komponen

Yang Dinilai

Nilai Maksimal Prosiding Nilai Akhir

Yang

Diperoleh

Internasional

Nasional

a. Kelengkapan unsur isi prosiding (10%) 3,00 2,40

b. Ruang lingkup dan kedalaman pembahasan

(30%)

9,00 7,40

c. Kecukupan dan kemutahiran data/informasi dan

metodologi (30%)

9,00 7,40

d. Kelengkapan unsur dan kualitas terbitan

/prosiding (30%)

9,00 7,40

Total = (100%) 30,00 24,60

Nilai Pengusul =

Catatan Penilaian artikel oleh Reviewer :

1. Kelengkapan unsur isi prosiding:

Artikel ini ditulis sesuai dengan standard IEEE. Kebaruan dikemukan dengan jelas

2. Ruang lingkup dan kedalaman pembahasan:

Ruang lingkup cukup luas dan dibahas dengan baik

3. Kecukupan dan kemutakhiran data/informasi dan metodologi:

Referensi mutakhir, data dan informasi yang masih baru saat penerbitan serta metoda standard yang dapat

direflikasi oleh mereka yang sebidang

4. Kelengkapan unsur dan kualitas terbitan:

Penerbitan sudah standard IEEE, lengkap dengan unsur unsur yang menjadi persyaratan IEEE. Penerbitan di IEEE

Explore terindex Scopus SJR: 0,13 (2018), nilai makismum 25


Reviewer 1

Prof. Dr. Muhammad Nur, DEA

NIP. 195711261990011001


√






LEMBAR





5 orang





b. ISBN/ISSN : 978-1-5090-0890-2



Diponegoro/ IEEE


e/2016








Komponen

Yang Dinilai

Nilai Maksimal Prosiding Nilai Akhir

Yang

Diperoleh

Internasional

Nasional

a. Kelengkapan unsur isi prosiding (10%) 3,00 2,70

b. Ruang lingkup dan kedalaman pembahasan (30%) 9,00 8,80

c. Kecukupan dan kemutahiran data/informasi dan

metodologi (30%)

9,00 8,90

c. Kelengkapan unsur dan kualitas terbitan /prosiding

(30%)

9,00 8,90

Total = (100%) 30,00 29,30

Nilai Pengusul =

Catatan Penilaian artikel oleh Reviewer :

1. Kelengkapan unsur isi jurnal: Artikel telah ditulis secara lengkap mulai dari judul, abstrak, pendahuluan hingga referensi dan sebagian sesuai

template penerbit IEEE secara online. Penulisan author belum mengikuti template online IEEE. Scope prosiding IEEE

relevan dengan topik artikel yang ditulis.

2. Ruang lingkup dan kedalaman pembahasan: Ruang lingkup dan kedalaman pembahasan sudah baik dan mendalam. Perhitungan volume fantom dengan CT scan

sudah dilakukan dengan baik dan jelas. Paper belum mengkaitkan hasil dari peneliti lain.

3. Kecukupan dan kemutakhiran data/informasi dan metodologi: Data penelitian yang diperoleh sangat memadai. Hasil penelitian sudah sesuai dengan metodologi riset yang dilakukan.

Artikel disusun berdasarkan referensi yang masih minim dengan total 6 referensi dan 50% kategori tidak mutakhir.

4. Kelengkapan unsur dan kualitas terbitan: Secara umum kelengkapan unsur artikel lengkap. Kualitas penerbit IEEE baik. Prosiding IEEE terindeks Scopus, SJR

(2018) 0.13.


Reviewer 2

Prof. Dr. Heri Sutanto, SSi, MSi

NIP. 197502151998021001


√






S2-BIOLOGI

Highlight

FOREWORD FROM CHIEF OF ELECTRICAL ENGINEERING DEPARTMENT DIPONEGORO UNIVERSITY, SEMARANG-INDONESIA

In the Name of Allah, the Most Gracious, Most Merciful.

All the praises and thanks to Allah.

Welcome all of the participants and keynote speakers to the International Conference on

Information Technology, Computer, and Electrical Engineering (ICITACEE 2016) in Semarang.

This is the third international conference held together by Electrical Engineering Department and

Computer Engineering Department of Engineering Faculty, Universitas Diponegoro. I would like

to appreciate the measureless work in this conference as a collaborative effort among Electrical

Engineering Department, Computer Engineering Department, IEEE Student Branch of

Universitas Diponegoro, and IEEE Indonesia Section. I would like to express my deep

appreciation to Organizing Committee members, staffs, and students of Electrical Engineering and

Computer Engineering Department for their effort and support. I would like to extend our

appreciation to Rector of Universitas Diponegoro and Dean of Engineering Faculty.

I hope that this conference will be a prestige forum to communicate and sharing the findings, and

precious researches among experts in field of computer engineering, information technology, and

electrical engineering. We are extremely happy that this event will give contribution to global

development of Computer Engineering, Information Technology, and Electrical Engineering.

Dr. Wahyudi, S.T., M.T. Chief of Electrical Engineering Department Engineering Faculty Universitas Diponegoro, Semarang – Indonesia.

CONFERENCE COMMITTEE

General Chair : Abdul Syakur (Universitas Diponegoro)

Co-Chair : R. Rizal Isnanto (Universitas Diponegoro)

Secretary : M. Arfan

Organizing Committee:

Trias Andromeda

Eko Didik Widianto

Teguh Prakoso

Achmad Hidayatno

Ajub Ajulian Zahra

Agung Budi P.

Aghus Sofwan

Yuli Christyono

Sukiswo

Dania Eridani

Rinta Kridalukmana

Steering Committee:

Hermawan (Diponegoro University)

Muhammad Nadzir Marsono (Universiti Teknologi Malaysia)

Riri Fitri Sari (Universitas Indonesia)

Yanuarsyah Haroen (Institut Teknologi Bandung)

Taufik (California Polytechnic State, USA)

Satriyo Dharmanto (IEEE Indonesia Section Chair)

Technical Program Committee:

Mochammad Facta (Diponegoro University, Indonesia)

Masayuki Kurosaki (Kyushu University, Japan)

Trio Adiono (Bandung Institute of Technology, Indonesia)

P. Insap Santosa (Gadjah Mada University, Indonesia)

Mauridhi Heri Purnomo (Sepuluh Nopember Institute of Technology, Indonesia)

Khoirul Anwar (Japan Advanced Institute of Science and Technology, Japan)

Wahyudi (Diponegoro University, Indonesia)

Wahyul Amien Syafei (Diponegoro University, Indonesia)

Munawar Agus Riyadi (Diponegoro University, Indonesia)

Sidiq Syamsul Hidayat (Semarang State Polytechnics, Indonesia)

Supari (Semarang University, Indonesia)

Slamet Riyadi (Soegijapranoto Katholic University, Indonesia)

M. Hadin (Sultan Agung Islamic University, Indonesia)

Onil Nazra Persada (CEA, France)

Zolkafle Buntat (Universiti Teknologi Malaysia)

Taufik (California Polytechnic State University, USA)

Hashim Uledi Iddi (University of Dar es Salaam, Tanzania)

Aris Triwiyatno (Diponegoro University, Indonesia)

Pandu Sandi Pratama (Pusan National University, South Korea)

Razali Ismail (Universiti Teknologi Malaysia, Malaysia)

Ismail Saad (University Malaysia Sabah, Malaysia)

Oky Dwi Nurhayati (Diponegoro University, Indonesia)

TABLE OF CONTENTS

Keynote Speakers1 Hydro, Solar, and Wind Energy as Potential Electrical Power Plant in Indonesia - Past Conditions and

Future Prospects

Yanuarsyah Haroen

2 Low Latency Network-on-Chip Router Using Static Straight Allocator

Alireza Monemi, Chia Yee Ooi, Maurizio Palesi, Muhammad Nadzir Marsono

10 Smart Video-Based Surveillance: Opportunities and Challenges from Image Processing Perspectives

Syed Abdurrahman

Electronic Circuit and Control11 Human Tracking Application in a Certain Closed Area Using RFID Sensors and IP Camera

Daniel Patricko Hutabarat, Darma Patria, Santoso Budijono, Robby Saleh

17 Designing and Implementation of Autonomous Quadrotor as Unmanned Aerial Vehicle

Felix Yustian Setiono, Anthony Candrasaputra, Tobias Bimo Prasetyo, Kho Lukas Budi Santoso

21 Multi Channel Electromyography (EMG) Signal Acquisition using Microcontroller with Rectifier

Florentinus Budi Setiawan, S. Siswanto

25 ECG Signal Processing using Offline-Wavelet Transform Method based on ECG-IoT Device

M. Faizal Amri, Muhammad Ilham R, Arjon Turnip

31 Trans-impedance Amplifier (TIA) Design for Visible Light Communication (VLC) using Commercially

Available OP-AMP

Syifaul Fuada, Angga Pratama Putra, Yulian Aska, Trio Adiono

37 Robot ARM Controlled by Muscle Tension Based on Electromyography and PIC18F4550

Ricky Fajar Adiputra, Florentinus Budi Setiawan

42 A Low Cost Anthropomorphic Prosthetic hand Using DC Micro Metal Gear motor

Mochammad Ariyanto, M. Munadi, Gunawan D. Haryadi, Rifky Ismail, Jonny A. Pakpahan, Khusnul A.Mustaqim

47 New Watershed Segmentation Algorithm based on Hybrid Gradient and Self-Adaptive Marker Extraction

Yuan Li, Yu Qingsong, Shen Chaomin, Hu Wenxin

52 Variations on Load and Distance Controller for Modern Elevator with Fuzzy

Ainil Syafitri, Iwa Garniwa MK, Ridwan Gunawan, I Made Ardita

56 Fuzzy-PID Simulations on Ropeless Elevator Performance

Ainil Syafitri, Iwa Garniwa MK, Ridwan Gunawan, I Made Ardita

60 A Simple Proportional plus PD Sign for Asymptotically Stable Robot Manipulators

Adha Imam Cahyadi, Samiadji Herdjunanto, H. Herianto

64 Arrival Time Field Based Path Planning Algorithm for Mobile Robot

Imaduddin A. Majid, Adha Imam Cahyadi, Igi Ardiyanto, Muhammad Saifussalam

68 Design of Soft Contact Lens Indexer Inspection Semi-Automatic

Didi Istardi, Kemas Syaiful

74 Yuarm: A Low Cost Android Platform for Vision Based Manipulators Control

Sisdarmanto Adinandra, Dany Erfawan

79 Development of Unmanned Aerial Vehicle (UAV) Ornithopter with Wireless Radio Control

Farika T. Putri, Mochammad Ariyanto, Ismoyo Haryanto, Moh. Arozi, Wahyu Caesarendra, M. RizkiIbrahim Hanan

85 Comparison Methods of Edge Detection for USG Images

M. Khairudin, Dessy Irmawati

S2-BIOLOGI

Highlight

89 Ultrasonic Signal Denoising Based on Wavelet Haar Decomposition Level

H. Herlinawati, Umi Murdika, Grienda Elan, Titin Yulianti

95 Sliding Mode Control for Therapeutic Pool Model Control System

M. Munadi, Henry Kristianto, Mochammad Ariyanto, Ismoyo Haryanto, Hari Peni Julianti

100 Experiment of Networked Control System (NCS) Using Network Emulator

Indra Sakti, Dicky Rianto Prajitno

106 Brainwave-Controlled Applications with the Emotiv EPOC Using Support Vector Machine

Ha Hoang Kha, Vo Anh Kha, Dinh Quoc Hung

112 Development of Hovercraft Prototype with Stability Control System using PID Controller

Munawar A. Riyadi, Lazyo Rahmando, Aris Triwiyatno

117 Design of Color Based Object Sorting Through Arm Manipulator with Inverse Kinematics Method

S. Sumardi, Lanang Febriramadhan, Aris Triwiyatno

123 Designing Internal-External Control Method for Delta Robot Prototype to Manipulate Non-Linear Move-

ment Object

Aris Triwiyatno, Muhammad Fikko Fadjrimiratno, S. Sumardi

129 Real Time Classification of SSVEP Brain Activity with Adaptive Feedforward Neural Networks

Arjon Turnip, M. Ilham Rizgyawan, Dwi Esti K., Jasman Pardede, Sandi Yanyoan, Edi Mulyana

134 Fuzzy-Mamdani Inference System in Predicting the Correlation Between Learning Method, Discipline

and Motivation with Student’s Achievement

J. Juningtyastuti, Fransiskus Allan Gunawan

Electric and Power System140 Investigation of Temperature Rise Considering the Stator Parameters in a High-Speed Spindle Motor

Wawan Purwanto, Jerry Chih Tsong Su

147 Voltage Balancing Circuits for Five-Level Power Inverter With A Single DC Voltage Source

S. Suroso, Abdullah Nur Aziz

151 The Use of Neural Network (NN) to Predict Voltage Drop during Starting of Medium Voltage Induction

Motor

Fidelis Galla Limbong

156 Research on Positive Narrow Bipolar Events in Padang

Ariadi Hazmi, Primas Emeraldi, M. Imran Hamid, Nobuyaki Takagi

160 Minimization of Cogging Torque Based on Different Shape of Anti-Notch Method

H. Herlina, Rudy Setiabudy, Uno Bintang Sudibyo

164 Investigation of the Influence of Variations in the Number and Width of Anti-Notch depending on Cogging

Torque Reduction

Rudy Setiabudy, H. Herlina

168 Voltage Drop Simulation at Southern Sulawesi Power System Considering Composite Load Model

Ardiaty Arief, Muhammad Bachtiar Nappu

172 Analytical Design of Sea Wave Energy Power Plant Using Tubular Linear PM Generator in Southern

Coast of Yogyakarta, Indonesia

Budi Azhari, Fransisco Danang Wijaya, Dewangga Adhyaksa, Wassy Prawinnetou

177 Reduction on Cogging Torque in Dual Stator Radial Flux Permanent Magnet Generator for Low Speed

Wind Turbine

Adeguna Ridlo Pramurti, Eka Firmansyah, S. Suharyanto

181 Network Losses Reduction Due To New Hydro Power Plant Integration

Muhammad Bachtiar Nappu, Muhammad Imran Bachtiar, Ardiaty Arief

186 Electrical and Temperature Correlation to Monitor Fault Condition of ZnO Surge Arrester

N. Novizon, Zulkurnain Abdul-Malek

191 Discrimination of Particle-Initiated Defects in Gas-Insulated System Using C4.5 Algorithm

Firmansyah Nur Budiman, Elvira Sukma Wahyuni

197 Enhanced Fault Ride – Through Ability of DFIG-Based Wind Energy System Using Superconducting

Fault Current Limiter

Chandan Kumar Sharma, Subhendu Sekhar Sahoo, Kalyan Chatterjee

202 Design of Photovoltaic BLDC Motor-Water Pump System with Single Converter

Slamet Riyadi

208 Integrated LC Resonant Converter and Silent Discharge Ozonizer for Colour Removal

Mochammad Facta, H. Hermawan, Zolkafle Buntat

213 A Prototype of Multistage Dynamic Braking of Three Phase Squirrel Cage Induction Motor

Tejo Sukmadi, Syauqie Candra Buana, Trias Andromeda, Mochammad Facta

216 Application of Dielectric Barrier Discharge Plasma for Reducing Chemical Oxygen Demand (COD) on

Industrial Rubber Waste Treatment

Abdul Syakur, Badrus Zaman, F. Fauzan, Nur Jannah, Nurmaliakasih Dias Yunita

Information and Computer Technologies220 Calculation of Phantom Volume for Computed Tomography (CT) Scan Images

Kusworo Adi, Catur Edi Widodo, Aris Sugiharto, Qidir Maulana B.S., Adi Pamungkas

224 Design and Development of Android-based Cloud ECG Monitoring System

Muhammad Ilham Rizqyawan, M. Faizal Amri, Rian Putra Pratama, Arjon Turnip

229 Designing Framework for Software Reuse Maturity Improvement

Bagus Setyawan Wijaya, Yudi Satria Gondokaryono

234 Performance Evaluation of Teleprotection using OpenDSS

M. Kahlil F., Muhammad Hamdani Rizal, Muhammad Raid Mukhtar, Riri Fitri Sari

239 Design Architecture Enterprise Service Bus to Support Multi-Tenant Client and Resource Provider

Taufik Sulaeman, A. Albarda

244 Data Envelopment Analysis - Analytic Hierarchy Process Method for Performance Evaluation Study

Program

Ali Wedo Sarjono, F. Farikhin, Catur Edi Wibowo

249 Eating for physical rather than emotional: A Bayesian Belief Network Approach for Android- Based

Intuitive Eating Measurement

Anggita Dian Cahyani, M. Meiliana, Widodo Budiharto

253 Detection of the Beef Quality Using Mobile-Based K-Mean Clustering Method

Oky Dwi Nurhayati, Kusworo Adi, Sri Pujiyanto

260 English – Indonesian Phrase Translation using Recurrent Neural Network and ADJ Technique

Wenty Octoviani, Muhammad Fachrurrozi, Novi Yusliani

264 IT Adoption Strategy to Promote Batik Micro-Scale Industry in Central Java, Indonesia

Rinta Kridalukmana, Naili Farida, Hari Susanta Nugraha

269 The Study of Theory of Planned Behavior of Building Automation System in Industrial Sector

Shu-Chiang Lin, Jacky Chin

274 A Literature Review of Question Answering System using Named Entity Recognition

Rini Wongso, M. Meiliana, Derwin Suhartono

278 The Benefit of the Web 2.0 Technologies in Higher Education: Student’s Perspectives

Yohana Dewi Lulu Widyasari, Lukito Edi Nugroho, Adhistya Erna Permanasari

283 A New Image Watermarking Scheme Using Contourlet Transforms

Sy C. Nguyen, Kha H. Ha, Hoang M. Nguyen

289 Detection Plagiarism Documents on Indonesian using Min-Hash and Synonym Recognition

Muhammad Badriansyah Putra

293 Nearest Tourism Site Searching using Haversine Method

Zainal Arifin, Muhammad Rivani Ibrahim, Heliza Rahmania Hatta

297 Decision Support System For New Employee Recruitment Using Weighted Product Method

Dyna Marisa Khairina, Muhammad Reski Asrian, Heliza Rahmania Hatta

302 Ontology Model For Complementary Breastfeeding Recipes

Sari Widya Sihwi, A. Athiyah, Afrizal Doewes

308 Development of Conceptual Model in Understanding The Role of Organizational Factor in KMS Accep-

tance

Hetty Rohayani, Setiawan Assegaff, K. Kurniabudi

S2-BIOLOGI

Highlight

313 Pattern Discovery of Indonesian Customers in an Online Shop: A Case of Fashion Online Shop

R. Rianto, Lukito Edi Nugroho, P. Insap Santosa

317 Traffic Sign Detection Based On HOG and PHOG Using Binary SVM And k-NN

Aris Sugiharto, Agus Harjoko

322 Utilization of Social Media in Livestock Product Marketing Group of Cattle

Kurniawan Teguh Martono, Cahya Setya Utama, Bambang Sulistiyanto, Merry Christiyanto

327 ST-DBSCAN Clustering Module in SpagoBI for Hotspots Distribution in Indonesia

Sarah Shanaz Shaztika, Rina Trisminingsih

331 CBE : Corpus-Based of Emotion for Emotion Detection in Text Document

Fika Hastarita Rachman, Riyanarto Sarno, Chastine Fatichah

336 Evaluation of IT Governance to Support IT Operation Excellent Based on COBIT 4.1 at the PT Timah

Tbk

I. Ibrahim, Lela Nurpulaela

340 Disclosing the Automation of Quality Assurance System of Higher Education (QAS-HE) in Indonesia

Using DevOps Approach

Acep Taryana, S. Setiawan

345 Implementation of Honeypot to Detect and Prevent Distributed Denial of Service Attack

Irwan Sembiring

351 Trends Information Technology in E-Agriculture: A Systematic Literature Review

Erick Fernando, Setiawan Assegaff, Hetty Rohayani AH

356 Parameter Optimization of Brown’s and Holt’s Double Exponential Smoothing Using Golden Section

Method for Predicting Indonesian Crude Oil Price (ICP)

Nurrahim Dwi Saputra, Abdul Aziz, Bambang Harjito

361 The Analysis of Instagram Technology Adoption as Marketing Tools by Small Medium Enterprise

Trianggoro Wiradinata, Bobby Iswandi

367 Commodity Cluster Using Single System Image Based on Linux/Kerrighed for High-Performance Com-

puting

Iwan Setiawan, Eko Murdyantoro

373 Noise Removal on Batak Toba Handwritten Script using Artificial Neural Network

Novie Theresia Br Pasaribu, M. Jimmy Hasugian

377 Shooting Simulator System Design Based on Augmented Reality

Kurniawan Teguh Martono, Oky Dwi Nurhayati

383 Optimizing MySQL Database System on Information Systems Research, Publications and Community

Service

Kodrat Iman Satoto, R. Rizal Isnanto, Rinta Kridalukmana, Kurniawan Teguh Martono

388 Information Technology Audit For Management Evaluation Using COBIT and IT Security

Assaf Arief, Iis Hamsir Ayub Wahab

393 Performance Comparisons of Web Server Load Balancing Algorithms on HAProxy and Heartbeat

Agung B. Prasetijo, Eko D. Widianto, Ersya T. Hidayatullah

397 Performance Analysis of MAC Protocol for Resource Sharing D2D and M2M in Unlicensed Channel

Aghus Sofwan

403 Mobile Cloud Computing Security Using Cryptographic Hash Function Algorithm

M. Arfan

408 On The Implementation of ZFS (Zettabyte File System) Storage System

Eko D. Widianto, Agung B. Prasetijo, Ahmad Ghufroni

Telecommunication and Radio Frequency414 Improving Accuracy In International Direct Dial (IDD) Call Fraud Suspect using Hybrid NBTree Algo-

rithm and Kullback Leibler Divergence

Aries Yulianto, A. Adiwijaya, M. Arif Bijaksana

421 Implementation of Ultrasonic Communication for Wireless Body Area Network Using Amplitude Shift

Keying Modulation

Muhammad Harry Bintang Pratama, Khusnil Mujib, Ajub Ajulian Zahra, Arif Munandar, Erizco SatyaWicaksono

425 Energy Efficiency Beamformers for K-User MIMO Interference Channels with Interference Alignment

Ha Hoang Kha, Tuan Do-Hong429 Cyclic Prefix-based Noise Estimation with DVB-T Input for Spectrum Sensing in Cognitive Radio

Dzata Farahiyah, Trung Thanh Nguyen, Thomas Kaiser434 Path Loss Model Estimation Based on Measurements of Off-Body and On-Body Communication Using

Textile Antenna at 2.45 GHz

B. Basari, Novi Yohanna, Ria Aprilliyani, Rian Gilang Prabowo439 Signal Analysis of GMSK Modulation-based CubeSat Automatic Identification System Receiver

Achmad Munir, Nazmi Febrian, Antrisha Daneraici Setiawan, C. Chairunnisa443 Coupling Analysis of Isotropic and Anisotropic Dielectric Materials in Rectangular Waveguide

Muhammad Reza Hidayat, Achmad Munir447 Effect of Element Number of SRR-based BPF to Its Characteristics

Mohammad Syahral, Achmad Munir451 Methods of MIMO Decoders for Very High Throughput WLAN IEEE802.11ac

Wahyul Amien Syafei, Zuhrotul Maulida, Imam Santoso455 Pattern Recognition on Herbs Leaves Using Region-Based Invariants Feature Extraction

R. Rizal Isnanto, Ajub Ajulian Zahra, Patricia Julietta

Source details

Advanced Science LettersScopus coverage years: from 2010 to 2017

Publisher: American Scientific PublishersISSN: 1936-6612 E-ISSN: 1936-7317Subject area: Energy: General Energy Environmental Science: General Environmental Science

Engineering: General Engineering Social Sciences: Education Social Sciences: Health (social science)

Mathematics: General Mathematics

(coverage discontinued in Scopus)

View all

View all documents ▻ Set document alert Save to source list

CiteScore 2016

0.21

SJR 2018

0.117

SNIP 2018

0.280

CiteScore CiteScore rank & trend CiteScore presets Scopus content coverage

Calculated using data from 31 May, 2017CiteScore

*CiteScore includes all available document types

0.21 =

Citation Count 2016

Documents 2013 -2015*

=

Metrics displaying this icon are compiled according to , a collaboration between industry

and academia.

2016

▻455 Citations

▻2,166 Documents

▻View CiteScore methodology ▻CiteScore FAQ

↗ Snowball Metrics

CiteScore rank

Category Rank Percentile

Energy #42/58 27th

EnvironmentalScience

#148/185 19th

GeneralEnergy

GeneralEnvironmentalScience

▻View CiteScore trends

🔗Add CiteScore to your site

About Scopus

What is Scopus

Content coverage

Scopus blog

Scopus API

Privacy matters

Language

⽇本語に切り替える切换到简体中文

切換到繁體中文

Русский язык

Customer Service

Help

Contact us

Copyright © . All rights reserved. Scopus® is a registered trademark of Elsevier B.V.

↗Terms and conditions ↗Privacy policy

↗Elsevier B.V

Brought to you by Universitas Diponegoro

Search Sources Lists ↗SciVal Create account Sign in

https://www.scopus.com/standard/help.uri?topic=14880

http://www.snowballmetrics.com/

https://www.elsevier.com/online-tools/scopus

https://www.elsevier.com/online-tools/scopus/content-overview/

https://blog.scopus.com/

https://dev.elsevier.com/

https://www.elsevier.com/about/our-business/policies/privacy-principles

https://www.scopus.com/personalization/switch/Japanese.uri?origin=&zone=footer&locale=ja_JP

https://www.scopus.com/personalization/switch/Chinese.uri?origin=&zone=footer&locale=zh_CN

https://www.scopus.com/personalization/switch/Chinese.uri?origin=&zone=footer&locale=zh_TW

https://www.scopus.com/personalization/switch/Russian.uri?origin=&zone=footer&locale=ru_RU

https://www.scopus.com/standard/contactUs.uri?pageOrigin=footer

https://www.scopus.com/standard/contactForm.uri?pageOrigin=footer

https://www.elsevier.com/

https://www.elsevier.com/locate/termsandconditions

https://www.elsevier.com/locate/privacypolicy


http://www.relx.com/

http://digilib.undip.ac.id/

https://www.scopus.com/home.uri?zone=header&origin=

https://www.scopus.com/search/form.uri?zone=TopNavBar&origin=sourceinfo&display=basic

https://www.scopus.com/sources.uri?zone=TopNavBar&origin=sourceinfo

https://www.scopus.com/results/storedList.uri?listId=myDocList&origin=sourceinfo&zone=TopNavBar

https://www.scival.com/home

https://www.scopus.com/signin.uri?&origin=sourceinfo&zone=TopNavBar

https://www.scopus.com/signin.uri?origin=sourceinfo&zone=TopNavBar

https://www.scopus.com/signin.uri?origin=sourceinfo&zone=TopNavBar

UserID

Highlight

UserID

Highlight

Document details

21 of 35

Calculation of phantom volume for computed tomography (CT) scanimages (Conference Paper)

, , , ,

Department of Physics, Faculty of Science and Mathematics, Diponegoro University, Semarang, Indonesia

AbstractCT scan is a radiological examination that uses X-ray to produce cross-sectional images of an object. Its aim is todetermine abnormalities such as cancers in human organs using ionizing radiation X-ray. Cancer is a term that refersto abnormal cell growth. Currently there are more than �� types of cancer. Cancer cells can form any body tissue andcontinue to grow uncontrolled. Cancer cells are derived from normal body cells' damaged DNA (deoxyribonucleicacid), a cellular material that controls the characteristics and growth of cells. Approximately ��.� million new cancerpatients are diagnosed every year and about �.� million of them die it. The top five cancers in men are lung, prostate,colon, stomach and liver cancers, whereas in women, there are breast, colon, cervix, lung and uterus cancers. On theother hand, available cancer treatment modalities include surgery, chemotherapy, radiation therapy, hormonaltherapy, immune therapy and stem cell transplant. Cancer treatment options depend on the type, stage of cancer,patient's physical condition and preferences. In general, different treatment options come with different results andside effects. Recently, there has been rapid development in cancer therapy modalities and a decrease in cancer relatedmortality. Calculation of volume changes in cancer treatment processes is very important to know the success level ofthe therapy. Therefore, cancer volume calculations prior and after treatment are important. This research developed amethod of image processing to calculate phantom volume. The phantom material which is used is polymethylmethacrylate (PMMA). This phantom is assumed as cancer cell in patient's body that the volume will be calculated.Image processing and area calculation were conducted on each phantom image slice by thresholding and trapezoidalintegration method. Then phantom volume was calculated by integrating all areas with slice thickness. Thesecalculation results were then compared with those from manual calculation. This yielded an error value of �.��%. ©�� IEEE.

SciVal Topic Prominence

Topic:

Prominence percentile: 90.389

Author keywordsct scan image processing phantom volume trapezoidal integration

Indexed keywords

◅ Back to results ◅ Previous ▻Next

Export Download Print E-mail Save to PDF ⋆ Add to List ▻More...

View at Publisher

Proceedings - 2016 3rd International Conference on Information Technology, Computer, andElectrical Engineering, ICITACEE 20164 April 2017, Article number 7892443, Pages 220-2223rd International Conference on Information Technology, Computer, and Electrical Engineering,ICITACEE 2016; Hom HotelSemarang; Indonesia; 19 October 2016 through 21 October 2016;Category numberCFP1689Z-PRT; Code 127215

Adi, K. Widodo, C.E. Sugiharto, A. Maulana, B.S.Q. Pamungkas, A.

View references (6)

Proton Therapy | Radiation | Secondary cancer

Metrics

1 Citation in Scopus

45th percentile

0.33 Field-Weighted

Citation Impact

Cited by 1 document

, ,

(2019) Journal of Physics:Conference Series

Inform me when this documentis cited in Scopus:

Related documents

, ,

(2016) Journal of Physics:Conference Series

(1998) Radiographics

,

(2017) AIP ConferenceProceedings

❓ ▻View all metrics

Detecting driver drowsinessusing total pixel algorithm

Adi, K. Widodo, A.P. Widodo,C.E.

View details of this citation

Set citation alert ▻

▻Set citation feed

Parameter-based estimation ofCT dose index and image qualityusing an in-house android™-based software

Mubarok, S. Lubis, L.E. Pawiro,S.A.

The AAPM/RSNA Physics Tutorialfor Residents: X-ray Interactions

Bushberg, J.T.

Estimation of mean glandulardose for patients who undergomammography and studying thefactors affecting it

Barzanje, S.L.N.H. Harki,E.M.T.N.

Brought to you by Universitas Diponegoro

Search Sources Lists ↗SciVal Create account Sign in

https://www.scopus.com/results/results.uri?sort=plf-f&src=s&sid=badbd319a72d51401dc216d09e776eb6&sot=autdocs&sdt=autdocs&sl=18&s=AU-ID%2857200265615%29&offset=21&origin=recordpage

https://www.scopus.com/record/display.uri?origin=recordpage&eid=2-s2.0-85018967772&citeCnt=1&noHighlight=false&sort=plf-f&src=s&sid=badbd319a72d51401dc216d09e776eb6&sot=autdocs&sdt=autdocs&sl=18&s=AU-ID%2857200265615%29&relpos=19


https://www.scopus.com/redirect/linking.uri?targetURL=https%3a%2f%2fdoi.org%2f10.1109%2fICITACEE.2016.7892443&locationID=1&categoryID=4&eid=2-s2.0-85018970075&issn=&linkType=ViewAtPublisher&year=2017&origin=recordpage&dig=8135d433519dd3e3a337e0088002bb11&recordRank=

https://www.scopus.com/authid/detail.uri?authorId=57200265615&eid=2-s2.0-85018970075

mailto:[email protected]





https://www.scopus.com/standard/help.uri?topic=12031

https://www.scopus.com/record/display.uri?origin=citedby&eid=2-s2.0-85073910308&citeCnt=1&noHighlight=false&sort=plf-f&src=s&sid=badbd319a72d51401dc216d09e776eb6&sot=autdocs&sdt=autdocs&sl=18&s=AU-ID%2857200265615%29&relpos=0

https://www.scopus.com/authid/detail.uri?origin=citedby&authorId=57200265615&zone=



https://www.scopus.com/search/submit/citedby.uri?eid=2-s2.0-85018970075&src=s&origin=recordpage

https://www.scopus.com/results/rss/handler.uri?citeEid=2-s2.0-85018970075

https://www.scopus.com/record/display.uri?origin=recordpage&zone=relatedDocuments&eid=2-s2.0-84971671588&citeCnt=1&noHighlight=false&sort=plf-f&src=s&sid=badbd319a72d51401dc216d09e776eb6&sot=autdocs&sdt=autdocs&sl=18&s=AU-ID%2857200265615%29&relpos=0

https://www.scopus.com/authid/detail.uri?origin=recordpage&authorId=57189522439&zone=relatedDocuments








http://digilib.undip.ac.id/

https://www.scopus.com/home.uri?zone=header&origin=recordpage

https://www.scopus.com/search/form.uri?zone=TopNavBar&origin=recordpage&display=authorLookup

https://www.scopus.com/sources.uri?zone=TopNavBar&origin=recordpage

https://www.scopus.com/results/storedList.uri?listId=myDocList&origin=recordpage&zone=TopNavBar

https://www.scival.com/home

https://www.scopus.com/signin.uri?&origin=recordpage&zone=TopNavBar

https://www.scopus.com/signin.uri?origin=recordpage&zone=TopNavBar

https://www.scopus.com/signin.uri?origin=recordpage&zone=TopNavBar

UserID

Highlight

UserID

Highlight

UserID

Highlight

UserID

Highlight

References (6)

Engineeringcontrolled terms:

Biological organs Cells Chemotherapy Cytology Diseases Image processing

Ionizing radiation Nucleic acids Patient treatment Polymethyl methacrylates

Radiotherapy Stem cells

Engineeringuncontrolled terms

Calculation results Computed tomography scan Cross sectional image Different treatments

Integration method phantom volume Physical conditions Treatment modality

Engineering mainheading:

Computerized tomography

Bushberg, J.T.(2002) The Essential Physic of Medical Imaging. .2nd ed, Lippincott Williams & Wilkins, Philedelphia USA

Bushong, S.C.(2001) Radiologic Science for Technologist Physic, Biologic and Protection. .The CV. Mosby Company, United States of America

(2011) American Association of Physicist in Medicine, Size-Spesific Dose Estimate (SSDE) in Pediatric andAdult Body CT Examinations, America. .[AAPM Report No.204]

Carderquist, B.(2008) Evaluation of Two Thin CT Dose Profiler Detector and New Way to Perform QA in A CTDI HeadPhantom. .Departement of Radiation Physics Goteborg University: Sweden

Gonzalez, R.C., Woods, R.E.(2002) Digital Image Processing. .2nd ed. Prentice-Hall Inc., New Jersey

ISBN: 978-150901434-7Source Type: Conference ProceedingOriginal language: English

DOI: 10.1109/ICITACEE.2016.7892443Document Type: Conference PaperVolume Editors: Widianto E.D.,Arfan M.,Riyadi M.A.,Facta M.Sponsors:Publisher: Institute of Electrical and Electronics Engineers Inc.

▻View in search results format

All Export Print E-mail Save to PDF Create bibliography

1Cited 1644 times

2Cited 269 times

3Cited 18 times

4

Cited 7 times

5Cited 32163 times

Find more related documents inScopus based on:

View all related documents basedon references

▻Authors ▻Keywords

https://www.scopus.com/search/submit/references.uri?sort=plf-f&src=r&imp=t&sid=94d6376984309dbacbb4c8100bd8f136&sot=rec&sdt=citedreferences&sl=23&s=EID%282-s2.0-85018970075%29&origin=recordpage&citeCnt=1&citingId=2-s2.0-85018970075

https://www.scopus.com/search/submit/citedby.uri?eid=2-s2.0-85018970075&refeid=2-s2.0-0003543948&src=s&origin=reflist&refstat=dummy





https://www.scopus.com/search/submit/mlt.uri?eid=2-s2.0-85018970075&src=s&all=true&origin=recordpage&method=ref&zone=relatedDocuments

https://www.scopus.com/search/submit/mlt.uri?eid=2-s2.0-85018970075&src=s&all=true&origin=recordpage&method=aut&zone=relatedDocuments

https://www.scopus.com/search/submit/mlt.uri?eid=2-s2.0-85018970075&src=s&all=true&origin=recordpage&method=key&zone=relatedDocuments

21 of 35

Chaptra, S.C.(2012) Applied Numerical Methods with MATLAB. .3rd ed. McGraw-Hill, New York

© Copyright �� Elsevier B.V., All rights reserved.

6Cited 267 times

◅ Back to results ◅ Previous ▻Next Top of page

About Scopus

What is Scopus

Content coverage

Scopus blog

Scopus API

Privacy matters

Language

⽇本語に切り替える切换到简体中文

切換到繁體中文

Русский язык

Customer Service

Help

Contact us

Copyright © . All rights reserved. Scopus® is a registered trademark of Elsevier B.V.

We use cookies to help provide and enhance our service and tailor content. By continuing, you agree to the.

↗Terms and conditions ↗Privacy policy

↗Elsevier B.V

use of cookies


https://www.scopus.com/results/results.uri?sort=plf-f&src=s&sid=badbd319a72d51401dc216d09e776eb6&sot=autdocs&sdt=autdocs&sl=18&s=AU-ID%2857200265615%29&offset=21&origin=recordpage



https://www.elsevier.com/online-tools/scopus

https://www.elsevier.com/online-tools/scopus/content-overview/

https://blog.scopus.com/

https://dev.elsevier.com/

https://www.elsevier.com/about/our-business/policies/privacy-principles

https://www.scopus.com/personalization/switch/Japanese.uri?origin=recordpage&zone=footer&locale=ja_JP

https://www.scopus.com/personalization/switch/Chinese.uri?origin=recordpage&zone=footer&locale=zh_CN

https://www.scopus.com/personalization/switch/Chinese.uri?origin=recordpage&zone=footer&locale=zh_TW

https://www.scopus.com/personalization/switch/Russian.uri?origin=recordpage&zone=footer&locale=ru_RU

https://www.scopus.com/standard/contactUs.uri?pageOrigin=footer

https://www.scopus.com/standard/contactForm.uri?pageOrigin=footer


https://www.elsevier.com/locate/termsandconditions

https://www.elsevier.com/locate/privacypolicy


https://www.scopus.com/cookies/policy.uri

http://www.relx.com/

SUBSCRIBEIEEE.org IEEE Xplore IEEE-SA IEEE Spectrum More Sites SUBSCRIBE Cart Create Account

Personal Sign In

Conferences > 2016 3rd International Confer...

4 Author(s) Ariadi Hazmi ; Primas Emeraldi ; M. Imran Hamid ; Nobuyuki Takagi All Authors

Research on positive narrow bipolar events in Padang

Publisher: IEEE Cite This Cite This PDF

2PaperCitations

37FullText Views

Abstract

Document Sections

I. Introduction

II. Observation and Data

III. Results and Discussion

IV. Conclusion

Authors

Figures

References

Citations

Keywords

Metrics

More Like This

Abstract: In this study, we have examined electric field records from 10 thunderstorm days containing 13

positive narrow bipolar pulses (PNBPs). It was found that PNBP occurrences ... View more

Metadata

Published in: 2016 3rd International Conference on Information Technology, Computer, and Electrical

Engineering (ICITACEE)

Authors

Abstract:

In this study, we have examined electric field records from 10 thunderstorm days containing 13 positive

narrow bipolar pulses (PNBPs). It was found that PNBP occurrences have a strong relationship with

thunderstorm activities. The mechanism of the NBPs was very different from intracloud (IC) and cloud-to-

ground (CG) flashes. We also found that the AM values of rise time, full width at maximum time, zero crossing

time, overshoot time, pulse duration and overshoot to peak amplitude ratio of the PNBPs were 1.64 μs, 1.32

μs, 9.38 μβ, 15.06 μs and 0.31 μs, respectively. The pulse duration range was from 8.45 to 29.06 μs.

Comparison with values from previous studies reported by other researchers showed that the mentioned

parameters had no strong relationship with latitude or geographic location.

Date of Conference: 19-20 Oct. 2016

Date Added to IEEE Xplore: 06 April 2017

ISBN Information:

INSPEC Accession Number: 16791805

DOI: 10.1109/ICITACEE.2016.7892429

Publisher: IEEE

Conference Location: Semarang, Indonesia

Ariadi Hazmi

Dept. of Electrical Engineering, Andalas University, Padang, Indonesia

Primas Emeraldi


M. Imran Hamid


Nobuyuki Takagi

Dept. of Electrical and Electronic Engineering, Gifu University, Gifu City, Japan

I. Introduction

Narrow bipolar pulses (NBPs) are identified as one of the intracloud (IC) lightning discharge

activities inside thunderclouds. However, the physical mechanism of NBPs remains a

mystery. Many researchers have reported that there were two types of NBPs, namely

positive narrow bipolar pulses (PNBP) and negative narrow bipolar pulses (NNBP). NBPs

have strong radio frequency radiation at several MHz and a short duration with zero

crossing (initial positive half cycle) and overshoot (negative half cycle) within several

microseconds, followed by or not followed by any other signals [1]–[4]. NBPs may not be

related to ground and cloud flash activities and originate inside the most active

thundercloud areas [2]. PNBPs usually occur at lower latitudes than NNBPs. In addition,

PNBP occurrences are rare compared to NNBP events [5]. This study is to clarify the

relationship between thunderstorm activity and PNBP occurrence. We examined an electric

field change data set with 13 PNBPs that were recorded during thunderstorm days in 2015.

The characteristics of the PNBPs were statistically analyzed based on electric field change

as presented in this paper. All data were also compared to previous researches at different

locations and latitudes.

Sign in to Continue Reading

Ariadi Hazmi

More Like This

Effects of solar eclipse of July 22, 2009 on VLF signalsand atmospheric electricity parameters over Kolkata

2009 4th International Conference on Computers andDevices for Communication (CODEC)

Published: 2009

Research on Distribution of Electric Field near Groundduring Thunderstorm Process

2007 International Symposium on ElectromagneticCompatibility

Published: 2007

Show More

Top Organizations with Patents on

Technologies Mentioned in This Article

Browse My Settings Help Institutional Sign In

Institutional Sign In

Contents

All

Research on positive narrow bipolar events in Padang - IEEE Conferen... https://ieeexplore.ieee.org/document/7892429/authors#authors

1 of 2 07/06/2020, 19:38

S2-BIOLOGI

Highlight

S2-BIOLOGI

Highlight

S2-BIOLOGI

Highlight


Personal Sign In


4 Author(s) Alireza Monemi ; Chia Yee Ooi ; Maurizio Palesi ; Muhammad Nadzir Marsono All Authors

Low latency network-on-chip router using static straight allocator


3PaperCitations

242FullText Views

Abstract

Document Sections

I. Introduction

II. Related Works

III. Static Straight Allocator

IV. Router Architecture

V. Experimental Results

Authors

Figures

References

Citations

Keywords

Metrics

More Like This

Footnotes

Abstract: One clock cycle is the ideal latency for a network-on-chip (NoC) router to pass the received flit in

the current cycle to its requested destination output port when there... View more

Metadata



Authors

Abstract:

One clock cycle is the ideal latency for a network-on-chip (NoC) router to pass the received flit in the current

cycle to its requested destination output port when there is no contention with other flits. In order to achieve

this goal, a newly arrived flit is required to go through all router's pipeline stages to the switch traversal stage.

In this paper, we present a low latency synchronized NoC router micro-architecture that achieves single clock

cycle latency for packets traveling to the same direction using a static straight VC/SW allocator (SSA). In

comparison to existing single clock cycle latency routers which require more complex VC/SW allocator or

crossbar switch architectures, our proposed SSA has simpler architecture and works in parallel with the

previously proposed baseline VC/SW allocator. The simulation results using six different synthetic traffic

patterns shows SSA reduces the communication latency of a 2-cycle latency baseline router by 24% in

average.



ISBN Information:


DOI: 10.1109/ICITACEE.2016.7892399

Publisher: IEEE


Alireza Monemi

Faculty of Electrical Engineering, Universiti Teknologi Malaysia, 81310 Johor Bahru, Malaysia

Chia Yee Ooi

Malaysia-Japan International, Institute of Technology (MJIIT), Universiti Teknologi Malaysia, 54100, Kuala

Lumpur, Malaysia

Maurizio Palesi

University of Enna, KORE, Italy

Muhammad Nadzir Marsono


I. Introduction

Network-on-Chip (NoC) [1] provides a flexible and extensible inter-core-communication

infrastructure for many-core system-on-chips. However, due to multiple number of routers a

packet has to traverse between a source and destination cores, as well as each individual

router buffering, NoC-based systems can suffer from high inter-core communication

latency. Reducing NoC communication latency is important as many-core based

applications are highly sensitive to inter-core communication latency. However, designing a

low latency NoC router can be a challenge.


Alireza Monemi


Chia Yee Ooi

Malaysia-Japan International, Institute of Technology (MJIIT), Universiti Teknologi Malaysia, 54100, Kuala

Lumpur, Malaysia

More Like This

A configurable, programmable and software-definednetwork on chip

2014 IEEE Workshop on Advanced Research andTechnology in Industry Applications (WARTIA)

Published: 2014

HiWA: A hierarchical Wireless Network-on-Chiparchitecture

2014 International Conference on High PerformanceComputing & Simulation (HPCS)

Published: 2014

Show More





Contents

All

Low latency network-on-chip router using static straight allocator - IE... https://ieeexplore.ieee.org/document/7892399/authors#authors

1 of 2 07/06/2020, 19:32

S2-BIOLOGI

Highlight

S2-BIOLOGI

Highlight

S2-BIOLOGI

Highlight


Personal Sign In


3 Author(s) Ha Hoang Kha ; Vo Anh Kha ; Dinh Quoc Hung All Authors

Brainwave-controlled applications with the Emotiv EPOC using support vectormachine


1PaperCitation

446FullText Views

Abstract

Document Sections

I. Introduction

II. The Proposed

Brainwave-Controlled

System

III. Experimental Results

and Discussion

IV. Conclusion

Authors

Figures

References

Citations

Keywords

Metrics

More Like This

Abstract: Electroencephalography (EEG) which is the electrical signal recorded by the sensors attached on

the human scalp to detect brain activities has been the emerging trends in... View more

Metadata



Authors

Abstract:

Electroencephalography (EEG) which is the electrical signal recorded by the sensors attached on the human

scalp to detect brain activities has been the emerging trends in digital signal processing. As compared to

processing other types of digital data such as speech or audio signals, EEG signal processing is more

challenging. However, EEG signals have practically found a wide range of important applications. In this

paper, we propose a design of a brain-computer interface (BCI) using EEG's P300 component to a control

application. First, we use the Emotiv EPOC headset to capture the raw EEG signals. Then, we adopt a

classification algorithm by invoking support vector machine along with the selected extracted features to

classify the two-class EEG trials (with and without P300 component). The algorithm is developed to help

people express their selection of one among four commands. The experimental results are provided evaluate

the classification accuracy.



ISBN Information:


DOI: 10.1109/ICITACEE.2016.7892420

Publisher: IEEE


Ha Hoang Kha

Ho Chi Minh city University of Technology, VNU-HCM

Vo Anh Kha


Dinh Quoc Hung


I. Introduction

Brain-computer interface (BCI) systems are designed for people with difficulties in

communication or with severe motor disabilities to express the thoughts by using their bare

EEG signals. On top of that, the P300 wave, which is an event-related-potential (ERP) of

EEG or say in another way, a specific component of our brain signals, is used in many BCI

systems thanks to its clear distinctively observable characteristics among the noisy

background of EEG signals. The P300 is an endogenous component of EEG signals

elicited by human's brains in the process of decision making. P300's clearly positive

voltage peak usually occurs typically approximately at 300 milliseconds after stimulus onset

presented by the socalled ‘oddball paradigm’, in which the low-probability target stimuli are

mixed with high-probability non-target ones. Each stimulus is implemented on the computer

screen by visual flashing (or intensification) its symbol image. Four images corresponding 4

controlled devices are shown in the screen, on which the subject would focus their eyesight

at only one image as their intention, and it is implicitly known as his or her target stimuli,

while the other 3 images are the non-target ones. The subject is presented with two

categories of stimulus (target and non-target), and he or she is instructed to visually focus

on the target stimuli to determine his or her intention.


More Like This

Comparison between the Canonical CorrelationAnalysis and the Support Vector Machines asclassification algorithms in an SSVEP-based Brain-Computer Interface

2017 14th International Conference on ElectricalEngineering, Computing Science and AutomaticControl (CCE)

Published: 2017

Classification of motor imagery ecog signals usingsupport vector machine for brain computer interface

2013 Fifth International Conference on AdvancedComputing (ICoAC)

Published: 2013

Show More





Contents

All

Brainwave-controlled applications with the Emotiv EPOC using suppor... https://ieeexplore.ieee.org/document/7892420/authors#authors

1 of 2 07/06/2020, 19:35

S2-BIOLOGI

Highlight

S2-BIOLOGI

Highlight

S2-BIOLOGI

Highlight


Personal Sign In


3 Author(s) Sy C. Nguyen ; Kha H. Ha ; Hoang M. Nguyen All Authors

A new image watermarking scheme using contourlet transforms


1PaperCitation

162FullText Views

Abstract

Document Sections

I. Introduction

II. Contourlet Transform

III. Proposed Algorithm

IV. Experiments and

Results

V. Conclusion

Authors

Figures

References

Citations

Keywords

Metrics

More Like This

Abstract: Digital watermarking has been recognized as an effective technique to protect intellectual property

by embedding secret information into the digital products. This paper ... View more

Metadata



Abstract:

Digital watermarking has been recognized as an effective technique to protect intellectual property by

embedding secret information into the digital products. This paper presents a new watermarking technique for

digital image applications by using the contourlet domain. The contourlet transform is a powerful tool to

capture singularities along smooth object boundaries with different elongated shapes and directions that

helps the watermarking technique to achieve high performance. Specifically, the host image is decomposed

into subbands by using the contourlet transform. Then, the mid frequency subbands are chosen to embed

watermark with suitable embedment factors. The peak signal-to-noise ratio (PSNR) and normalized

correlation (NC) are used to evaluate the performance of the algorithm. Simulations on different images are

carried out to evaluate the invisibility and robustness of the proposed scheme. The experimental results show

that the proposed method outperforms the others in terms of invisibility and robustness for the lossy JPEG

compression.



ISBN Information:


DOI: 10.1109/ICITACEE.2016.7892456

Publisher: IEEE


Sy C. Nguyen

Faculty of Electrical & Electronics Engineering, Ho Chi Minh City University of Technology, VNU-HCM,

Vietnam

Kha H. Ha

Faculty of Electrical & Electronics Engineering, Ho Chi Minh City University of Technology, VNU-HCM,

Vietnam

Hoang M. Nguyen

Faculty of Management Information Systems, Banking University of HCM City, Vietnam

I. Introduction

The rapid development of the Internet has resulted in new challenges in protecting

copyrighted digital products. Watermarking is a potential technique to resolve this problem.

In watermarking technique, by inserting hidden information into an digital product, the

extracted hidden information can be used to protect the copyright ownership of the digital

product. It is desired that the extra information is embedded should cause imperceptible

degradation of digital host product. Then, the watermarking in the transform domain is of

great importance. The wavelet transform has much success in many signal processing and

communication applications such as it is used as the key transform for the new image-

compression standard, JPEG-2000 [22]. However, wavelets provide an optimal

representation for these signals in a certain sense for example: one-dimensional piecewise

smooth signals [21] [4]. In addition to the 1-D bases, wavelets in 2-D are good at capturing

the discontinuities at edge points, but will not capture the smoothness along the contours

well [4]. Likewise, the directional information of signals is limited when the signals are

processed by separable wavelets. Thus, we need a power tool to represent signals in

higher dimensions. Here are some well-known systems that provide multi-scale and

directional image representations, for example: 2-D Gabor wavelets [5], the cortex

transform [6], the steerable pyramid [7], 2-D directional wavelets [8], brushlets [9], complex

wavelets [10], and the contourlet transform [4]. However, the contourlet transform is flexible


More Like This

New Object Detection for On-board Robot Vision byLifting Complex Wavelet Transforms

2011 IEEE 11th International Conference on DataMining Workshops

Published: 2011

Salient Segmentation based Object Detection andRecognition using Hybrid Genetic Transform

2019 International Conference on Applied andEngineering Mathematics (ICAEM)

Published: 2019

Show More





Contents

All

A new image watermarking scheme using contourlet transforms - IEE... https://ieeexplore.ieee.org/document/7892456/authors#authors

1 of 2 07/06/2020, 19:40

S2-BIOLOGI

Highlight

S2-BIOLOGI

Highlight

a a a a a a a a a a a a a a a a a a a a a a a a a a a a a a a a ao oa a a a a a a a a a a a aa a a a a a a a a a a a a a a a a a a a a a o a a a a a a a a a a a o o a a aaa

\oHo>N. ^r!6gs<Viige

rD .==(6E 7-\

<t.'r

ABq)

o

+Ja'ia).zCDo!oU)a)coooc/)

'ia)q)CE')cI!

(+{o

#

orga)

J-.P

oc(60)o

aaaa

a a a a a a a a a a o o a a a a a a a a a a a a a t a a a a a a a a a a a a a a a a a a a a a a a a a a a a a aa

oO.da

>o3o€B

zO5U)

!:rJ)

L*il

z.::)

\o

N

No\

q-t

$(-)

q-l

o

5.R

S

q..)q

a

A.q..)sr

\o

NtrtrQQF

\i6.Sa.)q.)

5.Eq

(-)

S'+-l(Jq.)

r!S

Sa.)*rE)\

rl

o.l

uF q.)

+rR

S\

a_)()q,)S, q..)

Ur+

S

Sq.)*r

Sooq)

F

+.Fa vt\) t\aI€ ns< rbF P SE!E SgeB 5s..3 3 ;d.3v ss Eir

r

IJIIJJIJJI

@

a)+JCUU(H

op{+rS{a)U

F'yA,S

d J';x

E.. \3

Calculation of Phantom Volume for Computed

Tomography (CT) Scan Images

Kusworo Adi, Catur Edi Widodo, Aris Sugiharto, Qidir Maulana B. S., Adi Pamungkas

Department of Physics, Faculty of Science and Mathematics

Diponegoro University

Semarang, Indonesia

[email protected]

Abstract— CT scan is a radiological examination that uses X-

ray to produce cross-sectional images of an object. Its aim is to

determine abnormalities such as cancers in human organs using

ionizing radiation X-ray. Cancer is a term that refers to

abnormal cell growth. Currently there are more than 100 types

of cancer. Cancer cells can form any body tissue and continue to

grow uncontrolled. Calculation of volume changes in cancer

treatment processes is very important to know the success level of

the therapy. Therefore, cancer volume calculations prior and

after treatment are important. In this research we are using

phantom. This phantom is assumed as cancer cell in patient’s

body that the volume will be calculated. The phantom material

which is used is polymethyl methacrylate (PMMA). This research

developed a method of image processing to calculate phantom

volume. Image processing and area calculation were conducted

on each phantom image slice by thresholding and trapezoidal

integration method. Then phantom volume was calculated by

integrating all areas with slice thickness. These calculation results

were then compared with those from manual calculation. This

yielded an error value of 3.63%. This method only process the

the CT scan output image, not embedded in CT-Scan system.

Keywords: phantom volume; ct scan; image processing;

trapezoidal integration

INTRODUCTION

CT scan is a diagnostic imaging modality that uses the tomographic principle to produce body parts images in axial, sagittal, coronal, or 3D format [1]. The aim of which is to determine abnormalities in human organs such as cancer using ionizing radiation X-ray.

Cancer is a term that refers to abnormal cell growth. Currently there are more than 100 types of cancer. Cancer cells can form any body tissue and continue to grow uncontrolled. Cancer cells are derived from normal body cells’ damaged DNA (deoxyribonucleic acid), a cellular material that controls the characteristics and growth of cells. Approximately, 14.1 million new cancer patients are diagnosed every year and about 8.2 million of them die from it. Top five cancers in men are lung, prostate, colon, stomach and liver cancer, while in women; there are breast, colon, cervix, lung and uterus cancers [2].

Available cancer therapy modalities include surgery, chemotherapy, radiation therapy, hormonal therapy, immune therapy and stem cell transplant. Cancer treatment options

depend on the type and stage of cancer, patient’s physical condition and preferences. In general, different treatment options come with different results and side effects. Recently, there has been rapid development in cancer therapy modalities and a decrease in cancer related mortality [3]. Calculation of volume changes in cancer treatment processes is very important to know the success level of the therapy. Hence, cancer volume calculations prior and after treatment are important. Several studies of cancer or phantom volume calculation has been conducted by some researchers [4,5,6]. Thresholding method of grayscale image has been conducted by researchers in previous studies [7,8,9]. Calculating method of cancer volume in MRI images using active contour segmentation has been developed and got good results [10]. The method can be applied in CT-Scan image, but this method required modification in order to work well on a CT-Scan image. In this study, phantom is assumed as cancer and to be homogeneous.

I. THEORITICAL BACKROUND

A. CT Scan

CT scan is a radiological examination that uses X-ray to produce cross-sectional images of an object. CT scan uses the attenuation principle of X-ray in an object. The human body is composed of various organs and tissues with different composition and density. The composition and density of the tissues are crucial in determining the X-ray radiation value absorbed by those tissues [11]. The scanning method used for this purpose consists of the sequential and spiral methods. In the sequential method, data acquisition is carried out without moving the table, while in the spiral method, an X-ray tube rotates continuously around the patient and an examination table also moves at a constant velocity.

B. Binary Image

Binary image is an image that has only two levels of gray value (black and white). Grayscale images can be converted into a binary image by using thresholding method. In this operation, the level of gray value of each pixel is grouped into two classes, black (0) and white (1) [12]. The equations used in a thresholding operation are:

1, ,

,0, ( , )

f i j Tg i j

f i j T

(1)

Where

( , )g i j is the binary image,

( , )f i j is the grayscale image, and

T is the threshold value

C. Trapezoidal Integration

Trapezoidal integration method is applied by integrating the linear interpolation formula, written as follows [13]:

2

b

a

b aI f x dx f a f b

(2)

Equation (2) can be extended to many intervals. For N interval

with step distance h, the expansion of the trapezoidal rule is as

follows:

(3)

where

( )b ah

N

(4)

The equation can be written in an equivalent form as:

0 1 2 12 2 22

N N

hI f f f f f (5)

where,

0f f a (6)

1f f a h (7)

( )if f a ih (8)

II. METHOD

This research uses the following instruments: a CT scanner as the radiation source and an acrylic cylindrical PMMA phantom as the object. This phantom is assumed as cancer cell in patient’s body that the volume will be calculated. The equipment used is shown in Figure 1.

(a) CT Scan (b) Body Phantom PMMA

Figure 1. Research instruments

The phantom is mounted perpendicular to the central ray.

It is then scanned and figured out that its phantom body

specifications are; 320 mm in diameter, 130 kV in voltage, has a tube current of 93 mAs, and a slice thickness of 8 mm. Once the image data is acquired, the phantom volume can be calculated. Calculation of phantom volume employs the trapezoidal integration method. A flowchart of this research is shown in Figure 2.

Figure 2. Research flowchart.

III. RESULT AND DISCUSSION

This research uses two instruments: a CT scanner as the radiation source and an acrylic cylindrical PMMA phantom as the object. The equipment used is shown in Figure 1.

A. Image Processing

Phantom image processing begins with the acquisition of

CT Scan images in DICOM format. Acquired images consist

of 18 slices, each with 512 x 512 pixels and 8 mm slice

thickness. Each slice area is then calculated, before being

integrated with the slice thickness to obtain its volume. Image

processing is conducted by the process of transforming gray

scale image into binary images. One of the gray scale images

of the samples and its resulting binary image is shown in

Figure 3. In Figure 3 (a) shows the gray scale image of a

phantom that is assumed to be homogeneous form of cancer.

Then the gray scale image is converted into a binary image, so

it will be visible boundaries of the cancer as in Figure 3 (b).

Results of a binary image in Figure 3 (b) will be used to

calculate the slice area of the phantom.

(a) Grayscale Image (b) Binary Image

Figure 3. Image processing results of phantom image

B. Phantom Slice Area

Calculation of phantom slices area is done by calculating each area of the image using the following equation:

0 1 2 511 5122 2 22

hA L L L L L (9)

Where,

A is the area of phantom slice

h is the spacing between pixels

L is the area of each column

The resulting phantom slice area is still in pixel unit.

Therefore, it must be converted into 2mm unit with the

following formula:

2

2

A pixelA mm

spatialresolution (10)

The resulting area is then compared to phantom slice area manual calculation results. This manual calculation itself employs the following formula:

21

4A d (11)

where A is the area of phantom slice (manual) and d is the

diameter of phantom (manual). Comparisons between manual and automated calculation results are shown in Table I.

TABLE I. AREA OF PHANTOM SLICE

C. Phantom Volume

Calculation of phantom volume is carried out by integrating each area of phantom slice with its slice thickness using the following equation:

V slice thickness A (12)

Where V is the volume of phantom, while A is area of

phantom slice.

The resulting phantom volume is them compared to the manual phantom volume calculation results. This manual calculation itself employs the following formula:

V A h (13)

Where V is the volume of phantom (manual), A is the area of phantom slice (manual), and h is the height of phantom (manual)

TABLE II. VOLUME OF PHANTOM

Comparisons between manual and developed method calculation results are shown in Table II. Calculation results of phantom volume show that the method developed is capable to calculation of phantom volume. The errors resulting from miscalculations area, slice thickness and the distance between the slice of the phantom image. Error value 3.67% is obtained from the comparison of manual calculation and results of calculation using developed method.

IV. CONCLUSION

In this research, it is successfully developed an image processing method that calculates phantom volumes. This method utilizes thresholding operation and trapezoidal integration for each image slice of the phantom. Phantom volume is then subsequently calculated by integrating all area with the slice thickness. Compared to phantom volume calculation with the manual method, this developed method has an error value of only 3.63%. Hence, this method is highly accurate. This method only process the the CT scan output image, not embedded in CT-Scan system.

ACKNOWLEDGMENT

This research was funded by the Indonesian Directorate General of Higher Education Program in 2016.

REFERENCES

[1] J.T. Bushberg, The Essential Physic of Medical Imaging, 2nd ed, Lippincott Williams & Wilkins, Philedelphia USA, 2002.

[2] S.C. Bushong, Radiologic Science for Technologist Physic, Biologic and Protection, The CV. Mosby Company, United States of America, 2001.

[3] American Association of Physicist in Medicine, Size-Spesific Dose Estimate (SSDE) in Pediatric and Adult Body CT Examinations, America, 2011 [AAPM Report No.204].

[4] J.M. Goo, T. Tongdee, R. Tongdee, K. Yeo, C.F. Hildebolt, K.T. Bae, K.T., “Volumetric measurement of synthetic lung nodules with multi-detector row CT: effect of various image reconstruction parameters and segmentation thresholds on measurement accuracy”. Radiology. 2005;235(3):850–56.

[5] K. Marten, F. Auer, S. Schmidt, G. Kohl, E.J. Rummeny, and C. Engelke, “Inadequacy of manual measurements compared to automated CT volumetry in assessment of treatment response of pulmonary metastases using RECIST criteria”. Eur Radiol. 2006;16(4):781–90

Slice

number

Area (mm2) Error (%)

Manual System

1 80424.77 79921.34 0.63

2 80424.77 79748.25 0.84

3 80424.77 79756.47 0.83

4 80424.77 79738.66 0.85

5 80424.77 79732.73 0.86

6 80424.77 79723.59 0.87

7 80424.77 79718.57 0.88

8 80424.77 79699.85 0.90

9 80424.77 79697.11 0.90

10 80424.77 79691.17 0.91

11 80424.77 79690.71 0.91

12 80424.77 79679.75 0.93

13 80424.77 79679.29 0.93

14 80424.77 79669.70 0.94

15 80424.77 79671.07 0.94

16 80424.77 79664.22 0.95

17 80424.77 79675.64 0.93

18 80424.77 79859.23 0.70

Slice

Number

Volume (mm3) Error (%)

Manual Developed Method

1 to 18 11581167.16 11160708 3.63

[6] J.G. Ravenel, W.M. Leue, P.J. Nietert, J.V. Miller, K.K Taylor, G.A.

Silvestri, “Pulmonary nodule volume: effects of reconstruction parameters on automated measurements – a phantom study”. Radiology. 2008;247(2):400–08.

[7] K. Adi, S. Pujiyanto, R. Gernowo, A. Pamungkas, and A.B. Putranto, “Identifying the developmental phase of plasmodium falciparum in malaria-infected red blood cells using adaptive color segmentation and back propagation neural network”, International Journal of Applied Engineering Research, 2016, 11 (15), pp. 8754-8759.

[8] K. Adi, S. Pujiyanto, R. Gernowo, A. Pamungkas, and A.B. Putranto, “Identification of plasmodium falciparum phase in red blood cells using artificial neural networks”, International Journal of Applied Engineering Research, 2014, 9 (22), pp. 13917-13924.

[9] K. Adi, T.L.R. Mengko, A.B. Suksmono, and H. Gunawan, “Phase unwrapping using energy minimization methods for MRI phase image”,

International Journal of E-Health and Medical Communications, 2010, 1 (3), pp. 50-56.

[10] C.E. Widodo, K. Adi, A. Sugiharto, Q.M.B. Soesanto, and A. Pamungkas, “Volume target delineation for brain tumor in MRI images using active contour segmentation method”, International Journal of Applied Engineering Research, 2016, 11 (16), pp. 9031-9036.

[11] B. Carderquist, “Evaluation of Two Thin CT Dose Profiler Detector and New Way to Perform QA in a CTDI Head Phantom”, Departement of Radiation Physics Goteborg University: Sweden, 2008.

[12] R.C. Gonzalez, and R.E. Woods, Digital Image Processing, 2nd ed, Prentice-Hall Inc., New Jersey, 2002.

[13] S.C. Chaptra, Applied Numerical Methods with MATLAB, 3rd ed, McGraw-Hill, New York, 2012.

PROSIDING Judul Karya Ilmiah : Calculation of Phantom

Documents

Transcript of PROSIDING Judul Karya Ilmiah : Calculation of Phantom