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Journal of ICT Research and Applications
Published by Institut Teknologi Bandung
ISSN : 23375787     EISSN : 23385499     DOI : https://doi.org/10.5614/itbj.ict.res.appl.
Core Subject : Science,
Computer Science & IT
Journal of ICT Research and Applications welcomes full research articles in the area of Information and Communication Technology from the following subject areas: Information Theory, Signal Processing, Electronics, Computer Network, Telecommunication, Wireless & Mobile Computing, Internet Technology, Multimedia, Software Engineering, Computer Science, Information System and Knowledge Management.
Arjuna Subject : Ilmu Komputer (semua kategori) - Aplikasi Ilmu Komputer
Articles 302 Documents
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Free Model of Sentence Classifier for Automatic Extraction of Topic Sentences M.L. Khodra; D.H. Widyantoro; E.A. Aziz; B.R. Trilaksono
Journal of ICT Research and Applications Vol. 5 No. 1 (2011)
Publisher : LPPM ITB

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/itbj.ict.2011.5.1.2

Abstract

This  research  employs  free  model  that  uses  only  sentential  features without paragraph context  to extract topic sentences of a paragraph. For finding optimal  combination  of  features,  corpus-based  classification  is  used  for constructing a sentence classifier  as the model.  The sentence classifier is trained by  using Support Vector Machine  (SVM).  The experiment shows that position and meta-discourse features are more important  than syntactic features  to extract topic  sentence,  and  the  best  performer  (80.68%)  is  SVM  classifier  with  all features. 
The Effectiveness of Chosen Partial Anthropometric Measurements in Individualizing Head-Related Transfer Functions on Median Plane Hugeng Hugeng; Wahidin Wahab; Dadang Gunawan
Journal of ICT Research and Applications Vol. 5 No. 1 (2011)
Publisher : LPPM ITB

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/itbj.ict.2011.5.1.3

Abstract

Individualized  head-related  impulse  responses  (HRIRs)  to  perfectly suit  a  particular  listener  remains  an  open  problem  in  the  area  of  HRIRs modeling.   We  have  modeled  the  whole  range  of  magnitude  of  head-related transfer  functions  (HRTFs)  in  frequency  domain  via  principal  components analysis  (PCA),  where  37  persons  were  subjected  to  sound  sources  on  median plane.   We  found  that  a  linear  combination  of  only  10  orthonormal  basis functions was sufficient to satisfactorily model individual magnitude HRTFs. It was our goal to form multiple linear regressions (MLR) between weights of basis functions acquired from PCA and chosen partial anthropometric  measurements in  order  to  individualize  a  particular  listener's  H RTFs  with  his  or  her  own anthropometries. We proposed a novel individualization method based on MLR of  weights  of  basis  functions  by  employing  only  8  out  of  27  anthropometric measurements.  The  experiments'  results  showed  the  proposed  method,  with mean  error  of  11.21%,  outperformed  our  previous  works  on  individualizing minimum  phase  HRIRs  (mean  error  22.50%)  and  magnitude  HRTFs  on horizontal  plane  (mean  error  12.17%)  as  well  as  similar  researches.  The proposed  individualization  method  showed  that  the  individualized  magnitude HRTFs could be well estimated as the original ones with a slight error.  Thus  the eight  chosen  anthropometric  measurements  showed  their  effectiveness  in individualizing magnitude HRTFs particularly on median plane. 
Digital Dermatoscopy Method for Human Skin Roughness Analysis Suprijanto Suprijanto; V. Nadhira; Dyah A. Lestari; E. Juliastuti; Sasanti T. Darijanto
Journal of ICT Research and Applications Vol. 5 No. 1 (2011)
Publisher : LPPM ITB

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/itbj.ict.2011.5.1.4

Abstract

In this study we  propose a digital dermatoscopy  method to measure the human skin roughness. By using this method we eliminate the use of silicon replica.  Digital  dermatoscopy  consists  of  handheld  digital  microscope,  image processing  and  information  extraction  of  skin  roughness  level.  To  reduce  the noise due to the variation of reflection factor on the skin we use  median filter. Hence, by Fourier transform the skin texture is imaged in terms of 2D frequencyspatial  distribution.  Skin  roughness  is  determined  from  its  entropy,  where  the roughness level is proportional to the entropy.  Three types of experiment have been performed by evaluating: (i) the skin replicas; (ii)  young and elderly skin; and (iii) seven volunteers treated by anti wrinkle cosmetic in three weeks period. We find that for the first and second experiment that our system did manage to quantify the roughness, while on the third experiment, six of seven volunteers, the roughness are succeeded to identify.
RFID-based Positioning System in Complex Environments Mudrik Alaydrus
Journal of ICT Research and Applications Vol. 5 No. 2 (2011)
Publisher : LPPM ITB

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/itbj.ict.2011.5.2.1

Abstract

For effective identification of objects, Radio Frequency Identification (RFID) is  used in miscellaneous activities. In recent times, RFID is also used for positioning purposes. We show a scenario of wireless propagation  in free space observed by  up to  eight antennas with different polarization located in different positions. In this way, the polarization and diagram radiation of the antennas will play  a  significant role  in  producing  electromagnetic  field  in  the  region.   In  the second  case,  the  effects  of  disturbances  in  form  of  metallic  boxes  are  studied. The determination of the position is carried out by fingerprinting procedure.
Synthesis Optimization on Galois-Field Based Arithmetic Operators for Rijndael Cipher Petrus Mursanto
Journal of ICT Research and Applications Vol. 5 No. 2 (2011)
Publisher : LPPM ITB

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/itbj.ict.2011.5.2.2

Abstract

A  series  of  experiments  has  been  conducted  to  show  that  FPGA synthesis  of  Galois-Field  (GF)  based  arithmetic  operators  can  be  optimized automatically  to  improve  Rijndael  Cipher  throughput.  Moreover,  it  has  been demonstrated  that  efficiency  improvement  in  GF  operators  does  not  directly correspond to the system performance at application level. The experiments were motivated by so many research works that focused on improving performance of GF  operators.  Each  of  the  variants  has  the  most  efficient  form  in  either  time (fastest) or space  (smallest occupied area) when implemented in FPGA chips. In fact,  GF  operators are not utilized  individually, but  rather integrated one to the others to  implement algorithms.  Contribution  of  this  paper  is  to  raise  issue  on GF-based  application  performance  and  suggest  alternative  aspects  that potentially  affect  it.  Instead  of  focusing  on  GF  operator  efficiency,  system characteristics are worth considered in optimizing application performance.
New Methodology of Block Cipher Analysis Using Chaos Game Budi Sulistyo; Budi Rahardjo; Dimitri Mahayana; Carmadi Machbub
Journal of ICT Research and Applications Vol. 5 No. 2 (2011)
Publisher : LPPM ITB

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/itbj.ict.2011.5.2.3

Abstract

Block cipher analysis  covers randomness analysis and cryptanalysis. This paper proposes a new method potentially used for randomness analysis and cryptanalysis. The method uses true random sequence  concept as a reference for measuring randomness level of a random sequence. By using this concept, this paper  defines  bias  which represents  violation  of  a  random  sequence  from  true random sequence. In this paper, block cipher   is treated as a mapping function of a discrete time dynamical system. The dynamical system framework is used to make  the  application  of  various  analysis  techniques  developed  in  dynamical system  field  becomes  possible.  There  are three  main parts of  the methodology presented  in  this  paper:  the  dynamical  system  framework  for  block  cipher analysis, a  new chaos game  scheme and an extended measure  concept related to chaos game and fractal analysis. This paper also presents the general procedures of the proposed method, which includes: symbolic dynamic analysis of discr ete dynamical system whose block cipher as its mapping function, random sequence construction,  the  random  sequence  usage  as  input  of  a  chaos  game  scheme, output  measurement  of  chaos  game  scheme  using  extended  measure  concept, analysis  the  result  of  the  measurement.  The  analysis  process  and  of  a  specific real or sample block cipher and the analysis result are beyond the scope of this paper.
Architecture for the Secret-Key BC3 Cryptography Algorithm Arif Sasongko; Hidayat Hidayat; Yusuf Kurniawan; Sarwono Sutikno
Journal of ICT Research and Applications Vol. 5 No. 2 (2011)
Publisher : LPPM ITB

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/itbj.ict.2011.5.2.4

Abstract

Cryptography is a very important aspect in data security. The focus of research in this field is shifting from merely security aspect to consider as well the  implementation  aspect.  This  paper  aims  to  introduce  BC3  algorithm  with focus  on  its  hardware  implementation.  It  proposes  an  architecture  for  the hardware  implementation  for  this  algorithm.  BC3  algorithm  is  a  secret-key cryptography  algorithm  developed  with  two  considerations:  robustness  and implementation  efficiency.  This  algorithm  has  been  implemented  on  software and has good performance compared to AES algorithm. BC3 is improvement of BC2 and AE cryptographic algorithm and it is expected to have the same level of robustness and to gain competitive advantages in the implementation aspect. The development of the architecture gives much attention on (1) resource sharing and (2)  having  single  clock  for  each  round.  It  exploits  regularity  of  the  algorithm. This architecture is then implemented on an FPGA. This implementation is three times smaller area than AES, but about five times faster. Furthermore, this BC3 hardware  implementation  has  better  performance  compared  to  BC3  software both in key expansion stage and randomizing stage. For the future, the security of this implementation must be reviewed especially against side channel attack.
Frontal Face Detection using Haar Wavelet Coefficients and Local Histogram Correlation Iwan Setyawan; Ivanna K. Timotius; Andreas A. Febrianto
Journal of ICT Research and Applications Vol. 5 No. 3 (2011)
Publisher : LPPM ITB

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/itbj.ict.2011.5.3.1

Abstract

Face detection is the main building block on which all automatic systems dealing with human faces is built. For example, a face recognition system must rely on face detection to process an input image and determine which areas contain human faces. These areas then become the input for the face recognition system for further processing. This paper presents a face detection system designed to detect frontal faces. The system uses Haar wavelet coefficients and local histogram correlation as differentiating features. Our proposed system is trained using 100 training images. Our experiments show that the proposed system performed well during testing, achieving a detection rate of 91.5%.
Lossless Compression Performance of a Simple Counter-Based Entropy Coder Armein Z.R. Langi
Journal of ICT Research and Applications Vol. 5 No. 3 (2011)
Publisher : LPPM ITB

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/itbj.ict.2011.5.3.2

Abstract

This paper describes the performance of a simple counter based entropy coder, as compared to other entropy coders, especially Huffman coder. Lossless data compression, such as Huffman coder and arithmetic coder, are designed to perform well over a wide range of data entropy. As a result, the coders require significant computational resources that could be the bottleneck of a compression implementation performance. In contrast, counter-based coders are designed to be optimal on a limited entropy range only. This paper shows the encoding and decoding process of counter-based coder can be simple and fast, very suitable for hardware and software implementations. It also reports that the performance of the designed coder is comparable to that of a much more complex Huffman coder.
A Cognitive Skill Classification Based on Multi Objective Optimization Using Learning Vector Quantization for Serious Games Moh. Aries Syufagi; Mochamad Hariadi; Mauridhi Hery Purnomo
Journal of ICT Research and Applications Vol. 5 No. 3 (2011)
Publisher : LPPM ITB

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/itbj.ict.2011.5.3.3

Abstract

Nowadays, serious games and game technology are poised to transform the way of educating and training students at all levels. However, pedagogical value in games do not help novice students learn, too many memorizing and reduce learning process due to no information of player's ability. To asses the cognitive level of player ability, we propose a Cognitive Skill Game (CSG). CSG improves this cognitive concept to monitor how players interact with the game. This game employs Learning Vector Quantization (LVQ) for optimizing the cognitive skill input classification of the player. CSG is using teacher's data to obtain the neuron vector of cognitive skill pattern supervise. Three clusters multi objective target will be classified as; trial and error, carefully and, expert cognitive skill. In the game play experiments employ 33 respondent players demonstrates that 61% of players have high trial and error, 21% have high carefully, and 18% have high expert cognitive skill. CSG may provide information to game engine when a player needs help or when wanting a formidable challenge. The game engine will provide the appropriate tasks according to players' ability. CSG will help balance the emotions of players, so players do not get bored and frustrated. 

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