Maneerat, Noppadol

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Maneerat, Noppadol
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noppadol.ma@kmitl.ac.th

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    Routing algorithms with adaptive weight function based on total wavelengths and expected available wavelengths in optical WDM networks
    (2005-01-01)
    Pavarangkoon, Praphan
    ;
    Maneerat, Noppadol
    ;
    Varakulsiripunth, Ruttikorn
    This paper studies routing and wavelength assignment in wavelength-routed (WR) optical WDM networks which are circuit-switched in nature. When a session request is given, (be hard task of routing and wavelength assignment (RWA) is to calculate the satisfiable path between two nodes, and also to assign an available set of wavelengths along this path. Therefore, we have proposed a new routing and wavelength assignment algorithm, called Total wavelengths and Expected available wavelengths (TEW) algorithm in order to achieve the effective routing and wavelength assignment that can guarantee the service for user's requirement. The link weight function is considered as the main factor for route selection in TEW algorithm. This function is calculated by using a determination factor of the number of wavelengths that are being used currently and are supposed to be available after a certain time. The session requests from users will be routed on the links that has the least number of link weights by using Dijkstra's shortest path algorithm. This means that the selected lightpath will have the minimum utilization and maximum expected available wavelengths. The impact of proposed link weight computing function on the blocking probability is investigated by means of computer simulation and comparing with the traditional mechanism. The results show that the proposed TEW algorithm can achieve better performance in terms of the blocking probability.
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    Application of protégé, SWRL and SQWRL in fuzzy ontology-based menu recommendation
    (2009-12-01)
    Fudholi, Dhomas Hatta
    ;
    Maneerat, Noppadol
    ;
    Varakulsiripunth, Ruttikorn
    ;
    Kato, Yasushi
    We develop a daily menu assistance system which is built to give a suggested daily menu based on daily calories need. In this paper, we design a recommendation feature using fuzzy ontology to give menu recommendation by few factors, such as price, rate, vote and taste, since so many menus are suggested. Protégé, SWRL (Semantic Web Rule Language) and SQWRL (Semantic Query-Enhanced Web Rule Language) are used to show that this feature provides user the more specific, recommended and preferable menus. Protégé, an open-source ontology design software, is used to develop menu recommendation ontology. SWRL is used to build fuzzy ontology classes and properties mapping, and also calculations. SQWRL performs a query in menu recommendation results. ©2009 IEEE.
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    Composition of service and protocol specifications in asynchronous communication system
    (2004-01-01)
    Maneerat, Noppadol
    ;
    Varakulsiripunth, Ruttikorn
    ;
    Bista, Bhed Bahadur
    ;
    Takahashi, Kaoru
    ;
    Kato, Yasushi
    One of the important techniques in communication system design is the composition of service and protocol specifications. In this paper, we have presented a new approach to the composition technique based on the weak bisimulation concept The main objective is to combine service specifications and protocol specifications individually and simultaneously. The composition technique can maintain the equivalence between the composed service and protocol specifications. LOTOS language terms are utilized to describe the communication specifications. The application on the asynchronous model is presented. Moreover, a support system of the composition technique is developed and presented in this paper.
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    Anomaly detection through packet header data
    (2009-12-01)
    Longchupole, Sungkornsarun
    ;
    Maneerat, Noppadol
    ;
    Varakulsiripunth, Ruttikorn
    Intrusion Detection System (IDS) is a crucial part of network security area and is widely employed. Signature-based matching mechanisms require a completed analysis of attack patterns and the availability of knowledge detection beforehand. To cope with new attacks, IDS tools require to be continuously updated with the signature rules. In this paper, we present anomaly detection technique by using Complex Gaussian Coefficient to calculate the threshold for detecting unknown flooding attacks. The Network traffics are generated for three types of situations in the normal light traffic period, during the attacking period and in the heavy traffic period. The numbers of packets in time domain are transformed to complex Gaussian coefficient. The variances of the complex wavelet magnitude in each derivative level significantly describe network situation. This technique can be applied to detect unknown DDoS flooding patterns. ©2009 IEEE.