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Articles 28 Documents
Numerical Solution of Internet Pricing Scheme Based on Perfect Substitute Utility Function Indrawati Indrawati
ICON-CSE Vol 1, No 1 (2014)
Publisher : ICON-CSE

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Abstract

In this paper we will analyze the internet pricing schemes based on Perfect Substitute utility function for homogeneous and heterogeneous consumers. The pricing schemes is useful to help internet service providers (ISP) in maximizing profits and provide better service quality for the users. The models on every type of consumer is applied to the data traffic in Palembang server in order to obtain the maximum profit to obtain optimal. The models are in the form of nonlinear optimization models and can be solved numerically using LINGO 11.0 to get the optimal solution. The results show that the case when we apply flat fee, usage-based and two part tariff scheme for homogenous we reach the same profit and heterogeneous on willingness to pay we got higher profit if we apply usage based and two part tariff schemes. Meanwhile, for the case when we apply usage based and two part tariff schemes for heterogeneous on demand, we reach better solution than other scheme.
Design of Context Dependent Blending (CDB) in Behaviour Based Robot Using Particle Swarm Fuzzy Controller (PSFC) Andi Adriansyah
ICON-CSE Vol 1, No 1 (2014)
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Abstract

Behaviour-based control architecture has successfully demonstrated their competence in mobile robot development.  One key issue in behaviour-based design is the action selection problems.  In behaviour-based system, a composite behaviour is implemented as a system using Context Dependent Blending (CDB) that activates the underlying individual behaviours according to the current robot’s context in a certain degree.  However, the compromises of conflicting behaviours decision might be sub-optimal or even worse than any of the individual commands.  It is caused by using the un-optimized fuzzy context rules.  Therefore, most of the works in the field generate a certain interest for the study of fuzzy systems with added learning capabilities for best fuzzy context rules. This paper presents the development of CDB with Flexible Fuzzy Context Rules (FFCR) using Particle Swarm Optimization (PSO) called as Particle Swarm Fuzzy Controller (PSFC). Several experiments with MagellanPro mobile robot have been performed to analyse the performance of the algorithm.  A set of Fuzzy Context Rules, called as Single Fuzzy Context Rules (SFCR) are used as comparison.  The promising results have proved that the proposed control architecture for mobile robot has better capability to accomplish special task in office-like environment. 
Signature Similarity Search Using Cluster Image Retrieval Pandapotan Siagian
ICON-CSE Vol 1, No 1 (2014)
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Abstract

Significant image search in the database of signatures on previous research is still 65%, because the data stored that result capture camera [13, 14, ]. In this paper, we do the retrieval pattern signatures automatically, the algorithm that is used to find data points based on contributions. Similarity search algorithms will optimize the intra cluster and claster signatures in 3 classes i.e., Gx, Gy, gt. image capture-based content, which can calculate the similarity between the shape and texture of the images and do a grouping of pictures with minimum Euclidean distance consideration. CBIR is a set of techniques for taking pictures of semantically relevant than just image database based on recommended sources of images automatically. Performance evaluation method is now done with precision and recall for a different database. Response time to find most of the signatures from 3 grade database, giving the effect of a 78% accuracy rate higher.
Searching Optimal Route for Public Transportation Of Palembang City Using A*Algorithm Fithri Selva Jumeilah
ICON-CSE Vol 1, No 1 (2014)
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Abstract

Palembang is the capital city South Sumatra Province as well as big city. For a big city, transportation is a critical issue for society as well as its tourist. This study develops an optimal route search system using A * algorithm. A * algorithm using nearest distance estimates to achieve goals and have a heuristic value that is used as a basis for consideration. The resulting software is capable of finding the optimal transportation solution in the Palembang area so that people can get information easily and the accuracy of the application by 91.8%.
Hand Contour Recognition In Language Signs Codes Using Shape Based Hand Gestures Methods Ade Silvia; Nyayu Latifah Husni
ICON-CSE Vol 1, No 1 (2014)
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Abstract

The deaf and speech impaired are loosing of hearing ability followed by disability of developing talking skill in everyday communication.  Disability of making normal communication makes the deaf and speech impaired being difficult to be accepted by major normal community.  Communication used is gesture language, by using hand gesture communication. The weakness of this communication is that misunderstanding and limitation, it’s due to hand gesture is only understood by minor group.  To make effective communication in real time, it’s needed two ways communication that can change the code of hand gesture pattern to the texts and sounds that can be understood by other people. In this research, it’s focused on hand gesture recognition using shaped based hand algorithm where this method classifies image based on hand contour using hausdorff and Euclidian distance to determine the similarity between two hands based on the shortest range.  The result of this research is recognizing 26 letters gesture, the accuracy of this Gesture is 85%, from different human hands, taken from different session with different lighting condition and different range of camera from image.  It also can recognize 70% different hand contour.  The different of this research from other researches is the more the objects are, the less the classification of hands size is. Using this method, hands size can be minimized.
Hand Gesture Recognition as Password to Open The Door With Camera and Convexity Defect Method rossi passarella; Muhammad Fadli; Sutarno Sutarno
ICON-CSE Vol 1, No 1 (2014)
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Abstract

Computer Vision is one of reasearch that gets a lot of attention with many applications. One of the application is the hand gesture recognition system. By using EmguCV, will be obtained camera images from webcam camera. The Pictures will be disegmented by using  skin detection method for decrease noises in order to obtain the information needed. The final project of this system is to implement the convexity defect method for extracting images and recognize patterns of hand gesture that represent the characters A, B, C, D, and E. The parameters used in pattern recognition of hand gesture is the number and length of the line connecting the hull and defects derived from the pattern of hand gesture.
Generalized Model and Optimal Solution of Internet Pricing Scheme in Single Link under Multiservice Networks Irmeilyana Irmeilyana
ICON-CSE Vol 1, No 1 (2014)
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Abstract

In this paper, we will analyze the internet pricing scheme under multi service network by generalizing the model into 9 services. The scheme is determined from the base price, quality premium and number of links to aid the internet service provider to maximize the profit and to serve better service to the customers. The objective function is generated by setting up the base price and quality premium as a constant or variable. We use nonlinear optimization model and solve it by using LINGO 11.0 to obtain the optimal solution. The results show that for each case by generalizing the model, the ISP obtains better solution by fixing the base price and fixing and varying the quality premium. ISP has a choice to adopt the model when ISP fixes the base price and also fix or vary the quality premium with maximum profit adopted by ISP is when fixing the base price and varying the premium quality.
Implementation of Quadcopter for Capturing Panoramic Image at Sedayu Bantul Anton Yudhana; Nuryono Satya Widodo; Sunardi Sunardi
ICON-CSE Vol 1, No 1 (2014)
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Abstract

The aims of this study to deploy an aerial photography system has the ability to capture panoramic image of specific area. The planned research activities completed within 2 years, with the first year's target is Quadcopter design and manufacture that is equipped with a camera for image acquisition process. Target for the second year is shooting and processing panoramic images thus obtained are accurate. The steps to implement this study are divided into two parts: 1) the design and manufacture of quadcopter and 2) implementation of image capture and processing. The expected results of the study is the automated system  that have capability of imaging an area and perform image stitching on the imaging results so obtained image represents an area with a particular area with an adequate level of resolution. Thus this system can be referred for the next advance that is more complex for example: prediction system of agricultural crops with aerial photography, residential density estimation system with aerial photos, and hazard mitigation systems by using aerial photographs. The preliminary result of this research is panoramic images capturing with quadcopter. Quadcopter could flight as high as 6 meters for 3 minutes. Improvement is expected to reach flight  capability of quadcopter as high as 100 m within 10 minutes flight time minimum.
The Simulation and Design of High Subsonic Wing Aircraft Prasetyo Edi
ICON-CSE Vol 1, No 1 (2014)
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Abstract

This paper intends to present the application of Computational Fluid Dynamic (CFD) on the simulation and design of high subsonic wing of transport aircraft. The computation was performed using RAMPANT, an unstructured, multigrid flow solver. A 2-D and 3-D model of the wing was created using CATIA (2D and 3D modeling). A corresponding grid was created using preBFC and TGrid. The paper describes the technique of creating the grid and using the CFD on the wing design process. It then discusses the benefits and penalties of using the above tools. Description is then given in using the aerodynamic analysis result to optimize the wing. It concludes with a discussion of the results and recommendations for future work.
An Improved Model of Internet Pricing Scheme Of Multi Link Multi Service Network With Various Value of Base Price, Quality Premium and QoS Level Fitri Maya Puspita
ICON-CSE Vol 1, No 1 (2014)
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Abstract

Internet Service Providers (ISPs) nowadays deal with high demand to promote good quality information. However, the knowledge to develop new pricing scheme that serve both customers and supplier is known, but only a few pricing plans involve QoS networks. This study will seek new proposed pricing plans offered under multi link multi service networks. The multi link multi service networks scheme is solved as an optimization model by comparing our four cases set up to achieve ISPs goals in obtaining profit. The decisions whether to set up base price to be fixed to recover the cost or to be varied to compete in the market are considered. Also, the options of quality premium to be fixed to enable user to choose classes according to their preferences and budget or to be varied to enable ISP to promote certain service are set up. Finally, we compare the previous research with our model to obtain better result in maximizing the ISPs profit.

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