Papers by Romeo Mark Mateo
Mobile computing is very important in location management to provide services to the mobile users... more Mobile computing is very important in location management to provide services to the mobile users like banking, city guides and many more. Ubiquitous and mobile devices are the source of data in location management and its significant operations are update and search method. Some studies to improve these were presented by using optimal sequential paging, location area scheme and hierarchical database scheme. In addition, not all location services have the same access methods on data and it lead to difficulties of providing services. A proposed location management of multi-agent architecture is presented in this study. It shows the coordination of the agents on the distributed database of location-based services. The proposal focuses on the location management of the mobile object presented in a hierarchical search and update. Also, it uses a nearest neighbor technique for efficient method of mobile objects. The result using the technique improves the searching method of the location...
Lecture Notes in Computer Science, 2007
CORBA is a widely used solution for distributed object application. Currently, object implementat... more CORBA is a widely used solution for distributed object application. Currently, object implementations facilitate object group model to organize the object services. In addition to the complexity of object grouping, researchers also seek to improve the quality of service (QoS) by various means such as implementing load balancing to the system. This paper deals with the proposed load balancing service of distributed object groups. The proposed load balancing service uses the dynamic replication scheme which is mechanized by flow balance assumption (FBA) that derives from the arrival and service rate to execute request forwarding to new objects. The proposed on-demand replication scheme adjusts the number of replicated objects based on the arrival rate to minimize the waiting time of clients. It consists of procedures such as intercepting the request and executing on-demand activation of objects. The result of the simulation shows the improvement of the total mean client request completion time of the system as compared to other load balancing schemes.
Lecture Notes in Computer Science, 2006
Determining mobility patterns and predicting the future mobile location are some issues in optimi... more Determining mobility patterns and predicting the future mobile location are some issues in optimizing the location management of location based services. These patterns are also useful in finding trends, allocating resources and other information with the mobile user. In our paper, a location management on location based services using collaborative agents is presented. In this study, we proposed an agent which learns from the pattern of the user mobility and predict the future location of mobile object to optimize the search method of the location management. We use the association rules and basing on these rules the agent predicts the future mobile location. Also, these agents coordinate to each other by telling the knowledge of the possible location of the mobile object on the distributed location-based services. The result using the technique optimizes the search method of the location management.
Lecture Notes in Computer Science, 2007
Location-aware services using data mining techniques are recent research topics where rules from ... more Location-aware services using data mining techniques are recent research topics where rules from the data are extracted to provide interesting information. In addition, multi-agent systems are applied in location-based service for autonomous interaction of the system. Different data mining techniques are applied for knowledge discovery from location-based services. However, wireless environment limits the transmission of large data and possible for errors. This work presents a multi-agent framework for the location-based service using data mining. To support the data mining, a data compressor agent (DCA) based on neuro-fuzzy classifier is proposed. DCA performs data preprocessing where it merges the less frequent dataset by using neuro-fuzzy classifier before sending the data. User agent processes the knowledge discovery by using data mining like association rule mining. The result shows the proposed neuro-fuzzy data compression is more efficient compressor.
Scalable Grouping Based on Neuro-Fuzzy Clustering for P2P Networks
Lecture Notes in Computer Science, 2009
ABSTRACT In this paper, we present a scalable grouping based on the proposed neuro-fuzzy clusteri... more ABSTRACT In this paper, we present a scalable grouping based on the proposed neuro-fuzzy clustering (NFC) which is a combination of fuzzy clustering and neuro-fuzzy classification for P2P networks. Fuzzy clustering is used to construct the classifier structure for the grouping technique and neuro-fuzzy algorithm is used to adjust the fuzzy system in creating the accurate classifier. After the adjustment, each peer is processed in multi-ring algorithm using the fuzzy membership function of NFC. The scalable peer grouping contributes on load distribution by forwarding incoming request to the least loaded peer. Performance result showed that the proposed scalable peer grouping classifies more peers in a group for availability of resources and accurately classifies peer group.
Collision Detection for Ubiquitous Parking Management Based on Multi-agent System
Lecture Notes in Computer Science, 2009
Most of the researchers and designers of WSN-based parking management system used wireless sensor... more Most of the researchers and designers of WSN-based parking management system used wireless sensors to detect the car presence in automating the parking system. However, the problem of car-to-car collisions in the parking system was not discussed by these researches where the position details of cars are important to analyze the collision event. This paper presents the ubiquitous parking management
Ubiquitous Middleware Using Mobility Prediction Based on Neuro-Association Mining for Adaptive Distributed Object System
Advances in Soft Computing, 2009
ABSTRACT This paper proposes a ubiquitous middleware for the adaptive distributed object system t... more ABSTRACT This paper proposes a ubiquitous middleware for the adaptive distributed object system to consider the mobility support of application services in distributed environment. To ensure the seamless connectivity of a moving client, a prediction based on association mining of mobility patterns is used to perform the replication of services in the next base station. The proposed neuro-association mining is based on Apriori to generate rules for prediction and these rules become nodes for the structure of multilayer perceptron (MLP) to classify the next location and replicate the resource currently serving the mobile client. We present our simulation environment for the ubiquitous middleware and a classification performance evaluation where the proposed algorithm shows more accurate and provide more comprehensive structure compared to neural network based classifiers.
Health Monitor Agent Based on Neural Networks for Ubiquitous Healthcare Environment*
Lecture Notes in Computer Science, 2009
A. Håkansson et al. (Eds.): KES-AMSTA 2009, LNAI 5559, pp. 380388, 2009. © Springer-Verlag Berli... more A. Håkansson et al. (Eds.): KES-AMSTA 2009, LNAI 5559, pp. 380388, 2009. © Springer-Verlag Berlin Heidelberg 2009 ... Health Monitor Agent Based on Neural Networks for ... Michael Angelo G. Salvo1, Romeo Mark A. Mateo1, Jaewan Lee1, and Malrey Lee2
Balanced Clustering using Mobile Agents for the Ubiquitous Healthcare Systems
2008 Third International Conference on Convergence and Hybrid Information Technology, 2008
Page 1. Balanced Clustering using Mobile Agents for the Ubiquitous Healthcare Systems Romeo Mark ... more Page 1. Balanced Clustering using Mobile Agents for the Ubiquitous Healthcare Systems Romeo Mark A. Mateo, Michael Angelo Salvo and Jaewan Lee Electronic and Info. Engineering, Kunsan National University, 68 Miryong ...
The 2007 International Conference on Intelligent Pervasive Computing (IPC 2007), 2007
Expert systems in healthcare services are widely studied by researchers where the accuracy on dia... more Expert systems in healthcare services are widely studied by researchers where the accuracy on diagnosing and efficiency of the system are the considerations. Also, recent researches include decision support services, expert medical services and autonomous management are based on multi-agent systems. The cooperation of the agents is crucial in analyzing, and managing the data of patient to detect abnormal patterns and provide an advance treatment and prevent loss of life. This research shows an object implementation of the healthcare expert system (HES) based on the group cooperation model. An object performs data mining for specific disease diagnosing tool used by the expert. The proposed agent managers coordinate the processing of client requests. Replicas of object in servers are introduced to provide quality of service for clients. An adaptive scheme managed by the load balancing service is presented. The implementation of the healthcare expert system using the group cooperation model is presented.
Location Management Using Hierarchical Structured Agents for Distributed Databases
Computational Intelligence and Security, 2005
... References 1. Maneesh Prasad.: Location Based Services. Available at http:// www. gisdevelopm... more ... References 1. Maneesh Prasad.: Location Based Services. Available at http:// www. gisdevelopment.net/ technology/lbs/techlbs003.htm. ... 10. Russell P. Lentini, Goutham P. Rao, Jon N. Thies, and Jennifer Kay.: EMAA: An Extend-able Mobile Agent Architecture. ...
Lecture Notes in Computer Science, 2007
Recent research topics in healthcare including intelligent decision support services, expert medi... more Recent research topics in healthcare including intelligent decision support services, expert medical services and autonomous management are based on multi-agent systems. The cooperation of these software agents provides efficient monitoring, analyzing, and managing the data of patient where abnormal patterns are detected to have an advance treatment and prevent loss of life. In this paper, a framework for ubiquitous healthcare based on multi-agent is presented. This paper proposes a mobile agent for diagnosis support in ubiquitous healthcare. The expert mobile agent (EMA) classifies the data of patient by using neuro-fuzzy algorithm for consultation report. A pre-processing method based on the profile of an expert is used to filter the data from the history of patient. Result of neuro-fuzzy from cross-validation test shows a high accurate classification in data compared to other highly accurate classifiers.
Lecture Notes in Computer Science, 2006
Location awareness becomes more interests and topics of research. Adding this function to locatio... more Location awareness becomes more interests and topics of research. Adding this function to location-based services provides necessary information to user within the location to be aware of the user's location. But not all LBS could provide the necessary information that interests the user. In this research we propose a location-aware agent that interacts with the LBS and providing location awareness service by adding the task of data mining. This agent extracts additional information by deploying a mobile agent in the database of LBS and mines the data. To make efficiency on our approach, we present a data mining which has a feature of user profile to extract the relevant information that the user more interests and allows awareness of the location.
Data mining model based on multi-agent for the intelligent distributed framework
International Journal of Intelligent Information and Database Systems, 2010
ABSTRACT Recent researches in distributed system include intelligent resource finding, dynamic re... more ABSTRACT Recent researches in distributed system include intelligent resource finding, dynamic replication and adaptive load balancing schemes which focus on improving specific technique. In this paper, an intelligent distributed framework is presented to address the use of intelligent models for adaptive distributed object groups. Moreover, this paper proposes the agent-based data-mining model for implementing adaptive schemes using data mining algorithms and efficient interactions using multi-agent system. The k-means algorithm constructs group classes of object, multilayer perceptron classifies the client requests using the classes constructed from k-means and patterns generated from Apriori algorithm determine the next object needed to be replicated. For efficient interactions, the data mining is modeled in multi-agent system. Simulation result using the proposed model shows great improvements on serving clients by minimizing delay time and optimizes system performance by efficient load distribution.
Dynamic Load Balancing for Object Group Service
Citeseer
... Service Romeo Mark A. Mateo, Bobby D. Gerardo, Louie F. Cervantes and Jaewan Lee School of El... more ... Service Romeo Mark A. Mateo, Bobby D. Gerardo, Louie F. Cervantes and Jaewan Lee School of Electronic and Information Engineering, Kunsan National University 요 약 CORBA is widely used solution for distributed object application. ...
Citeseer
요 약 Intelligent and adaptive services for mobile users are researchable topics nowadays to be abl... more 요 약 Intelligent and adaptive services for mobile users are researchable topics nowadays to be able to provide the mobile user an immediate knowledge of the location. This research work presents a framework for collaborative location-based services and uses data mining ...
International Journal of Sensor Networks and Data Communications, 2012
RFID technology is used by various applications to implement smart processing of data. In the par... more RFID technology is used by various applications to implement smart processing of data. In the parking system, RFID together with wireless sensors are used for identifying cars entering a parking area and monitoring of parking slots. However, there is no means to identify the car parked in a specific slot. This paper proposes a location technique in WSN-based parking management system using radio signal patterns from WSN for a cost-effective method in identifying the car parked in a slot. The proposed pattern recognizer agent (PRA) uses a multilayer perceptron (MLP) to classify the patterns from radio signal strength (RSS) of wireless sensors by associating the signals in a specific parking slot. The implementations provide a training model for RSS patterns and uses classification method in the locating technique. The experiment showed a comparison of the proposed method to other classification algorithms and found that MLP is more accurate classifier and time-efficient in building the classification model.
Intelligent Resource Sharing in Cloud Computing for Green IT
Cloud computing is a fast developing technology recently which provides a large-scale service pro... more Cloud computing is a fast developing technology recently which provides a large-scale service provisioning to the Internet users. Basic search method for resources is commonly implemented, however, the design for usercentric service provisioning is still a challenge. Another concern of IT society is the pollution caused by the data centers. Our proposal exploits various intelligent methods to improve the service provisioning and resource management of cloud computing for Green IT. To provide the intelligent service provisioning, we present the grouping method and replication for cloud services. To promote the optimal resource allocation for Green Computing, we present the dynamic resource sharing and load balancing of cloud servers. Also, our proposed design considers transparency of the complex interactions of managing cloud services and hardware resources on resource management layer.
Pattern Discovery using iDAMA in Vehicle Telematics
This paper proposes a model for aggregating, collecting, management and discovering patterns usin... more This paper proposes a model for aggregating, collecting, management and discovering patterns using intelligent data mining agents (iDAMA) based on Chi-square test, which can be applied to vehicle telematics. The communication framework for messaging in the distributed databases is done using Common Object Resource Broker Architecture (CORBA). Based on the generated driving patterns, we are able to assign corresponding insurance policies. The proposed iDAMA mechanism is able to verify whether the generated patterns correspond to the baseline driving scheme with respect to the preset probability level. This mechanism reduces the task of computation and analysis since the proposed model yields interpretable and automatic assignment of policy schemes.
Fault Tolerance using Nearest Neighbor‐based Selection for the Intelligent Distributed Framework
Current studies on the intelligent distributed framework in distributed systems use multi?agents ... more Current studies on the intelligent distributed framework in distributed systems use multi?agents which include replication agents, grouping agents, locator agents, and load balancing agents among others which work systematically to provide quality of service. This research aims to improve that quality of service by utilizing a localized monitoring service that will choose an appropriate object in the event of a disconnected object that a client is accessing. By gathering the requested object’s properties, the monitoring service will choose a new object by comparing these properties with other objects based on k?nearest neighbor. Furthermore, this study introduced new services to the intelligent distributed framework; the fault detector, fault notification, and monitoring service. Fault analyzer is also encouraged to be incorporated in the application layer to register with the fault notification service to receive fault reports. Results show that the proposed algorithm was able to m...
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Papers by Romeo Mark Mateo