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Journal of ICT Research and Applications
ISSN : 23375787     EISSN : 23385499     DOI : -
Core Subject : Science,
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. Abstracts and articles published on Journal of ICT Research and Applications are available online at ITB Journal and indexed by Scopus, Google Scholar, Directory of Open Access Journals, NewJour, Open J-Gate, Electronic Library University of Regensburg, EBSCO Open Science Directory, International Association for Media and Communication Research (IAMCR), Cabells Directories, Zurich Open Repository and Archive Journal Database, and ISJD-Indonesian Institute of Sciences.
Arjuna Subject : -
Articles 192 Documents
A ROBUST ALGORITHM FOR EMOJI DETECTION IN SMARTPHONE SCREENSHOT IMAGES Bataineh, Bilal Mohammed; Shambour, Mohd Khaled Yousef
Journal of ICT Research and Applications Vol 13, No 3 (2019)
Publisher : ITB Journal Publisher, LPPM ITB

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/itbj.ict.res.appl.2019.13.3.2

Abstract

The increasing use of smartphones and social media apps for communication results in a massive number of screenshot images. These images enrich the written language through text and emojis. In this regard, several studies in the image analysis field have considered text. However, they ignored the use of emojis. In this study, a robust two-stage algorithm for detecting emojis in screenshot images is proposed. The first stage localizes the regions of candidate emojis by using the proposed RGB-channel analysis method followed by a connected component method with a set of proposed rules. In the second verification stage, each of the emojis and non-emojis are classified by using proposed features with a decision tree classifier. Experiments were conducted to evaluate each stage independently and assess the performance of the proposed algorithm completely by using a self-collected dataset. The results showed that the proposed RGB-channel analysis method achieved better performance than the Niblack and Sauvola methods. Moreover, the proposed feature extraction method with decision tree classifier achieved more satisfactory performance than the LBP feature extraction method with all Bayesian network, perceptron neural network, and decision table rules. Overall, the proposed algorithm exhibited high efficiency in detecting emojis in screenshot images.
DESIGN AND IMPLEMENTATION OF MOVING OBJECT VISUAL TRACKING SYSTEM USING μ-SYNTHESIS CONTROLLER Saripudin, Saripudin; Asali, Modestus Oliver; Trilaksono, Bambang Riyanto; Indriyanto, Toto
Journal of ICT Research and Applications Vol 13, No 3 (2019)
Publisher : ITB Journal Publisher, LPPM ITB

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/itbj.ict.res.appl.2019.13.3.1

Abstract

Considering the increasing use of security and surveillance systems, moving object tracking systems are an interesting research topic in the field of computer vision. In general, a moving object tracking system consists of two integrated parts, namely the video tracking part that predicts the position of the target in the image plane, and the visual servo part that controls the movement of the camera following the movement of objects in the image plane. For tracking purposes, the camera is used as a visual sensor and applied to a 2-DOF (yaw-pitch) manipulator platform with an eye-in-hand camera configuration. Although its operation is relatively simple, the yaw-pitch camera platform still needs a good control method to improve its performance. In this study, we propose a moving object tracking system on a prototype yaw-pitch platform. A m-synthesis controller was used to control the movement of the visual servo part and keep the target in the center of the image plane. The experimental results showed relatively good results from the proposed system to work in real-time conditions with high tracking accuracy in both indoor and outdoor environments.
PARAPHRASING METHOD BASED ON CONTEXTUAL SYNONYM SUBSTITUTION Barmawi, Ari Moesriami; Muhammad, Ali
Journal of ICT Research and Applications Vol 13, No 3 (2019)
Publisher : ITB Journal Publisher, LPPM ITB

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/itbj.ict.res.appl.2019.13.3.6

Abstract

Generating paraphrases is an important component of natural language processing and generation. There are sev­eral applications that use paraphrasing, for example linguistic steganography, recommender systems, machine translation, etc. One method for paraphrasing sentences is by using synonym substitution, such as the NGM-based paraphrasing method proposed by Gadag et al. The weakness of this method is that ambiguous meanings frequently occur because the paraphrasing process is based solely on n-gram. This negatively affects the naturalness of the paraphrased sentences. For overcoming this problem, a contextual synonym substitution method is proposed, which aims to increase the naturalness of the paraphrased sentences. Using the proposed method, the paraphrasing process is not only based on n-gram but also on the context of the sentence such that the naturalness is increased. Based on the experimental result, the sentences generated using the proposed method had higher naturalness than the sentences generated using the original method.
ULTRASOUND NERVE SEGMENTATION USING DEEP PROBABILISTIC PROGRAMMING Rubasinghe, Iresha; Meedeniya, Dulani
Journal of ICT Research and Applications Vol 13, No 3 (2019)
Publisher : ITB Journal Publisher, LPPM ITB

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/itbj.ict.res.appl.2019.13.3.5

Abstract

Deep probabilistic programming concatenates the strengths of deep learning to the context of probabilistic modeling for efficient and flexible computation in practice. Being an evolving field, there exist only a few expressive programming languages for uncertainty management. This paper discusses an application for analysis of ultrasound nerve segmentation-based biomedical images. Our method uses the probabilistic programming language Edward with the U-Net model and generative adversarial networks under different optimizers. The segmentation process showed the least Dice loss (?0.54) and the highest accuracy (0.99) with the Adam optimizer in the U-Net model with the least time consumption compared to other optimizers. The smallest amount of generative network loss in the generative adversarial network model gained was 0.69 for the Adam optimizer. The Dice loss, accuracy, time consumption and output image quality in the results show the applicability of deep probabilistic programming in the long run. Thus, we further propose a neuroscience decision support system based on the proposed approach.
AN ENERGY CONSTRAINT APPROACH TO IMPROVE LIFETIME AND REDUCE ROUTING OVERHEAD IN HETEROGENEOUS MANET Poonam, .; Kumar, Hirdesh; Singh, Santar Pal
Journal of ICT Research and Applications Vol 13, No 3 (2019)
Publisher : ITB Journal Publisher, LPPM ITB

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/itbj.ict.res.appl.2019.13.3.4

Abstract

Heterogeneous Mobile Ad-hoc Networks (H-MANET) contain different configuration nodes, each of which communicates over a wireless channel and is capable of movement. Heterogeneous wireless networking has attracted lot of interest from consumers in the previous few years for its applications in mobile and personal communications. One of the main constraints in MANET is the high probability of failure due to energy-exhausted nodes. So if the path selected for communication has low battery life then the path breaks prematurely and the re-discovery phase starts, which costs more overhead in the network. Therefore, there is unequal consumption of node energy, which must be prevented. The energy expenditure of the nodes should be balanced in order to minimize path breakage. This can be done by finding the communication path that is the most energy-efficient among alternative disjoint paths. This approach reduces path breakage and routing overhead caused by nodes with low battery life dying in the communication path, thus increasing the network?s lifetime.
TWO-STAGE S-BAND LNA DEVELOPMENT USING NON-SIMULTANEOUS CONJUGATE MATCH TECHNIQUE Munir, Achmad; Taryana, Yana; Yunus, Mochamad; Nusantara, Hardi; Effendi, Mohammad Ridwan
Journal of ICT Research and Applications Vol 13, No 3 (2019)
Publisher : ITB Journal Publisher, LPPM ITB

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/itbj.ict.res.appl.2019.13.3.3

Abstract

This paper presents the development of a two-stage low noise amplifier (LNA) operating at the S-band frequency that is implemented using the non-simultaneous conjugate match (NSCM) technique. The motivation of this work was to solve the issue of the gain of LNAs designed using the most commonly used technique, i.e. simultaneous conjugate match (SCM), which often produce an increase of other parameter values, i.e. noise figure and voltage standing wave ratio (VSWR). Prior to hardware implementation, the circuit simulation software Advanced Design System (ADS) was applied to design the two-stage S-band LNA and to determine the desired trade-off between its parameters. The proposed two-stage S-band LNA was deployed on an Arlon DiClad527 using a bipolar junction transistor (BJT), type BFP420. Meanwhile, to achieve impedances that match the two-stage S-band LNA circuit, microstrip lines were employed at the input port, the interstage, and the output port. Experimental characterization showed that the realized two-stage S-band LNA produced a gain of 22.77 dB and a noise figure of 3.58 dB at a frequency of 3 GHz. These results were 6.1 dB lower than the simulated gain and 0.76 dB higher than the simulated noise figure respectively.
Genetic Programming for Medicinal Plant Family Identification System Laksmana, Indra; Herdiyeni, Yeni; Zuhud, Ervizal A.M.
Journal of ICT Research and Applications Vol 7, No 3 (2013)
Publisher : ITB Journal Publisher, LPPM ITB

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (171.415 KB) | DOI: 10.5614/itbj.ict.res.appl.2013.7.3.4

Abstract

Information about medicinal plants that is available in text documents is generally quite easy to access, however, one needs some efforts to use it. This research was aimed at utilizing crucial information taken from a text document to identify the family of several species of medicinal plants using a heuristic approach, i.e. genetic programming. Each of the species has its unique features. The genetic program puts the characteristics or special features of each family into a tree form. There are a number of processes involved in the investigated method, i.e. data acquisition, booleanization, grouping of training and test data, evaluation, and analysis. The genetic program uses a training process to select the best individual, initializes a generate-rule process to create several individuals and then executes a fitness evaluation. The next procedure is a genetic operation process, which consists of tournament selection to choose the best individual based on a fitness value, the crossover operation and the mutation operation. These operations have the purpose of complementing the individual. The best individual acquired is the expected solution, which is a rule for classifying medicinal plants. This process produced three rules, one for each plant family, displaying a feature structure that distinguishes each of the families from each other. The genetic program then used these rules to identify the medicinal plants, achieving an average accuracy of 86.47%.
Optimizing Low Speed VoIP Network for Rural Next Generation Network (R-NGN) Bandung, Yoanes; Machbub, Carmadi; R. Langi, Armein Z.; Supangkat, Suhono H.
Journal of ICT Research and Applications Vol 1, No 2 (2007)
Publisher : ITB Journal Publisher, LPPM ITB

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (239.848 KB) | DOI: 10.5614/itbj.ict.2007.1.2.4

Abstract

In this paper, we identify some impairments in the Voice over Internet Protocol (VoIP) networks and quantify the levels of voice quality. We propose an optimization model to maximize number of calls in low speed network for Rural Next Generation Network (R-NGN) while maintaining a minimum level of voice quality. The model is based-on Extended E-model to select parameters like voice coder, packet loss level, jitter buffer size, and network utilization. The optimum VoIP access network is achieved by applying G.723.1 5.3 kbps voice coder, packet loss level less than 1%, jitter buffer 50 ms, and network utilization less than 85%.
Opinion Mining for User Generated Design by Social Networking Service and Japanese Manga Dharma, Anak Agung Gede; Kumamoto, Hiroyuki; Kochi, Shogo; Kudo, Natsuki; Guowei, Wei; Shu-Chuan, Chiu; Tomimatsu, Kiyoshi
Journal of ICT Research and Applications Vol 5, No 3 (2011)
Publisher : ITB Journal Publisher, LPPM ITB

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (559.396 KB) | DOI: 10.5614/itbj.ict.2011.5.3.5

Abstract

The growth of Social Networking Service (SNS) has created a new potential in marketing. While users communicate and interact via SNS, the list of their conversation, which is called casual data can be used to determine their needs or aspirations. SNS can be very useful for product/service developers, especially when developing new ideas or simply evaluating the feasibility of their existing products/services. Furthermore, SNS provides a unique system that enables expressive and two-way communication between its users. SNS is known for its effectiveness in delivering fresh news and information, thus it can be used as promotional media. Although several online services that utilize SNS and casual data have been provided, the purpose of those services is still unclear and ineffective. In those services, users were only asked for their opinions without receiving sufficient feedbacks. Therefore, to solve these problems we propose an innovative way of utilizing SNS and casual data in designing user generated design. In our proposed system, users can directly contribute to the product/service development process in an interesting way. We designed an online service, which allows users to posts manga that describes their original idea. While contributing to the product/service development, they can also benefit from expressing their hobbies and receiving feedbacks from other users.
FTR: Performance-Aware and Energy-Efficient Communication Protocol for Integrating Sensor Networks into the Internet Suakanto, Sinung; Supangkat, Suhono H.; Suhardi, S.; Saragih, Roberd
Journal of ICT Research and Applications Vol 7, No 1 (2013)
Publisher : ITB Journal Publisher, LPPM ITB

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (506.979 KB) | DOI: 10.5614/itbj.ict.res.appl.2013.7.1.5

Abstract

Integrating sensor networks into the Internet brings many advantages. For example, users can monitor or control the state of the sensors remotely without visiting the field. Some researchers have proposed methods using a REST-based web service or HTTP to establish communication between sensors and server via the Internet. Unfortunately, as we know, HTTP is a best-effort service. In some cases this means that if the number of sensors increases the end-to-end Quality of Service will decrease. The end-to-end network delay increases, as well as the failure rate of data sending caused by HTTP timeouts. In this paper, we propose Finite Time Response (FTR) HTTP as a communication protocol suitable for integrating sensor networks into the Internet. We have defined a cross-layer approach that coordinates between the application layer and the physical layer to control not only performance but also energy efficiency. The HTTP request-response delay measured at the application layer is used as the decision factor at the physical layer to control the active and sleep periods. We also propose a forced-sleep period as a control mechanism to guarantee average performance for all nodes. The experimental results have shown that FTR has the ability to maintain better performance, indicated by a lower average response time and a lower average timeout experience. Optimization is still needed to gain better performance and better energy efficiency while also considering the average value of the update time.

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