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A Survey on Knowledge Transfer between Knowledge-based Systems Nyoman Karna; Iping Supriana; Nur Maulidevi
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 16, No 1: February 2018
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v16i1.6517

Abstract

The paper aims to clarify differences in knowledge sharing mechanisms between Knowledge-based Systems, including knowledge management system, web page-based knowledge, and expert system, in the hope that we can establish an automatic knowledge transfer between autonomous systems. This study lays the foundation for knowledge transfer mechanism where an autonomous Knowledge-based System may enhance its knowledge by using other system's knowledge. To design a knowledge transfer mechanism, the paper do a literature study by comparing three well-known protocols for knowledge sharing, OAI-PMH for knowledge management system, SPARQL for web page-based knowledge, and KQML for the expert system. The object of comparison is within three aspects, first is the ability to find another system, the second is knowledge retrieval from chosen system and third is how to add new knowledge into the system. The paper suggests that each protocol has its own strength and weakness, but when it comes to knowledge transfer, KQML covers more features. Therefore, based on this finding, the paper proposes a new model for autonomous knowledge transfer using KQML to enhance one Knowledge-based System's own knowledge.
Intelligent Interface for Knowledge Based System Nyoman Bogi Aditya Karna; Iping Supriana; Ulfa Maulidevi
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 12, No 4: December 2014
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v12i4.413

Abstract

Every Knowledge Based System has their own knowledge formalism depends on the problem to be solved, goal to be achieved, and proposed solution. This means every knowledge contained in the system will differ from one system to another. This was also meant that this knowledge cannot be used by other system, which in return makes every system must start with a learning phase from the start. One of the solutions to overcome this problem is by providing a unified model that can accept all type of knowledge which guarantees automatic interaction between Knowledge Based System. Interaction in this paper is defined as knowledge sharing, integration, and transfer from one system to another. This research provides the model and conducts the test on interaction capability. This research contributes for accelerating a new Knowledge Based System establishment because it does not need a knowledge initialization.
PEMODELAN REQUIREMENTS DALAM MENGKONSTRUKSI PERANGKAT LUNAK SELF-ADAPTIVE Aradea Aradea; Iping Supriana; Kridanto Surendro
Jurnal Ilmiah Teknologi Infomasi Terapan Vol. 2 No. 3 (2016)
Publisher : Universitas Widyatama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33197/jitter.vol2.iss3.2016.106

Abstract

[Id]Mengkonstruksi perangkat lunak self-adaptive sangat berbeda dengan mengkonstruksi perangkat lunak non self-adaptive, hal ini menuntut banyak cara yang harus ditempuh untuk mencapai tujuan tersebut. Salah satunya adalah pada tahapan pemodelan requirements. Pendekatan yang digunakan saat melakukan pemodelan requirements untuk perangkat lunak self-adaptive, tidak cukup hanya menangkap kebutuhan sesuai dengan kondisi systems-as-is. Namun kebutuhan systems-to-be yang berhubungan dengan spesifikasi perilaku, dan kemampuannya untuk menangani perubahan ketika sistem sedang berjalan, merupakan faktor penting yang harus terpenuhi. Makalah ini membahas pemodelan requirements untuk mengembangkan self-adaptive systems, dengan mengintegrasikan pendekatan goal oriented requirements engineering dan feedback loop. Diawali dengan latar belakang, kemudian menguraikan penelitian terkait, dilanjutkan dengan konsep yang diusulkan beserta contoh penerapannya, dan diakhir bahasan kami menguraikan pekerjaan untuk masa depan serta kesimpulan.Kata kunci:Requirements modeling, goal oriented requirements engineering, self-adaptive systems, feedback loop[En]Construction of self-adaptive software is very different with the construction of non-self-adaptive software, its require many ways that must be through to gain these goals. one of them is on the requirement of modelling phase. The approach that used, when conduct modelling requirement is not enough to catch the needs appropriate with as-is system condition, but the requirement of to-be systems that connected with behaviour specification and its ability to handle transformation when system running is an important factor that must be fulfilled. this paper describes requirement modelling to develop self-adaptive systems, with goal oriented engineering integration approach and loop feedback. Started with the background, then untangle related research, continued with proposed concept and its implementation example, and in the last description, we untangle conclusion and our future works.Keywords: Requirements modeling, goal oriented requirements engineering, self-adaptive systems, feedback loop
Toward a New Approach in Fruit Recognition using Hybrid RGBD Features and Fruit Hierarchy Property Ema Rachmawati; Iping Supriana; Masayu Leylia Khodra
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 4: EECSI 2017
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1220.177 KB) | DOI: 10.11591/eecsi.v4.1029

Abstract

We present hierarchical multi-feature classification (HMC) system for multiclass fruit recognition problem. Our approach to HMC exploits the advantages of combining multimodal features  and  the  fruit  hierarchy  property.  In  the construction of hybrid features, we take the advantage of using color feature in the fruit recognition problem and combine it with 3D shape feature of depth channel of RGBD (Red, Green, Blue, Depth) images. Meanwhile, given a set of fruit species and variety, with a preexisting hierarchy among them, we consider the problem of assigning images to one of these fruit variety from the point of view of a hierarchy. We report on computational experiment using this approach. We show that the use of hierarchy structure along with hybrid RGBD features can improve the classification performance.