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Journal of Intelligence and Information Systems,
Vol. 12, No. 3, September 2006
Design of Ubiquitous Payment Process for Enhancing Seamlessness and Privacy
Kyoung Jun Lee, and Mu Jeong Jeong
Vol. 12, No. 3, Page: 1 ~ 13
Keywords : Ubiquitous Computing, Payment, Seamlessness, Personal Device
Abstract
Ubiquitous computing is a study area explained in a myriad of contexts and technological terms. Payment, however, refers in nature to an act of money transfer from one entity to another, and it is obvious that a payment method will be valued as long as the transaction can be completed with safety no matter what technology was used. The key to U-payment is convenience and security in the transfer of financial information. The purpose of this paper is to find a desirable U-payment scheme by looking at the characteristics of seamlessness under the ubiquitous environments, strong personal device, and peer-based information transactions. We also propose U-SDT Protocol integrating technologies such as Radio Frequency Identification (RFID), Bluetooth, Personal Payment Device, Account Managing Application and Transaction ID as a way to make transactions between users seamless and secure better privacy protection.
Multi-Criteria Group Decision Making under Imprecise Preference Judgments - Using Fuzzy Logic with Linguistic Quantifier
Duke Hyun Choi, Byeong Seok Ahn, and Soung Hie Kim
Vol. 12, No. 3, Page: 15 ~ 32
Keywords : Group Decision Making, Impercise Preference Judgements, Fuzzy Linguistic Quantifier
Abstract
The increasing complexity of the socio-economic environments makes it less and less possible for single decision-maker to consider all relevant aspects of problem. Therefore, many organizations employ groups in decision making. In this paper, we present a multiperson decision making method using fuzzy logic with linguistic quantifier when each of group members specifies imprecise judgments possibly both on performance evaluations of alternatives with respect to the multiple criteria and on the criteria. Inexact or vague preferences have appeared in the decision making literatures with a view to relaxing the burdens of preference specifications imposed to the decision-makers and thus taking into account the vagueness of human judgments. Allowing for the types of imprecise judgments in the model, however, makes more difficult a clear selection of alternative(s) that a group wants to make. So, further interactions with the decision-makers may proceed to the extent to compensate for the initial comforts of preference specifications. These interactions may not however guarantee the selection of the best alternative to implement. To circumvent this deadlock situation, we present a procedure for obtaining a satisfying solution by the use of linguistic quantifier guided aggregation which implies fuzzy majority. This is an approach to combine a prescriptive decision method via a mathematical programming and a well-established approximate solution method to aggregate multiple objects.
Optimal Mixed Storage Methods Considering Rehandles of Inventories
Jee Hyun Yang, Kap Hwan Kim, and Seung Hwan Won
Vol. 12, No. 3, Page: 33 ~ 46
Keywords : Rehandles Mixed Storage, Container Terminal, Optimization Model, Warehouse
Abstract
In order to decrease the number of handles, speed up retrieval operations, and manage products efficiently, the investment of facilities such as the installation of the storage equipment and the enlargement of the storage area may be attempted. However, the same objectives can be accomplished by utilizing the existing storage area efficiently. In many types of storage facilities, because of the limitation of storage areas, products are usually piled up, which may cause rehandles of inventories. Rehandles influence significantly the handling efficiency of warehouses. This study develops methods for minimizing rehandles of inventories to improve the operational efficiency of warehouses. A mixed storage problem is addressed for minimizing the expected number of rehandles. Optimization models are proposed and the genetic algorithm is applied to solve the problem.
The Operation of the Yard in a Terminal
Eun Yeong Ahn, Byoungho Kang, Jaeho Kang, Kwang Ryel Ryu, and Kap Hwan Kim
Vol. 12, No. 3, Page: 47 ~ 65
Keywords : Container Terminal, Automated Transfer Crane Job Allocation, Yard Truck Job Allocation, Heuristic
Abstract
These days, the number of automated container terminals is increasing to encourage the productivity of the container terminal inside and outside of the country. So far, there have been a lot of researches on the operating one type of equipments in a container terminal. However, there is still room for further improvement as none of equipment works itself but cooperate each other to finish a job, which means synchronization among the equipments is necessary. Among lots of equipments in a terminal, this paper concerns with the operation of ATCs (Automated Transfer Crane) and YTs (Yard Truck). The purpose of this paper is to find the efficient heuristic methods for operating ATCs and YTs that can set up a schedule in a real time. Moreover, using simulation this paper shows the efficient stacking strategy to decide the location of containers to be put and the proper selection range of YTs.
Hybrid Behavior Evolution Model Using Rule and Link Descriptors
Sa Joon Park
Vol. 12, No. 3, Page: 67 ~ 82
Keywords : Behavior Evolution Model, Rule Descriptor, Link Descriptor
Abstract
We propose the HBEM(Hybrid Behavior Evolution Model) composed of rule classification and evolutionary neural network using rule descriptor and link descriptor for evolutionary behavior of virtual robots. In our model, two levels of the knowledge of behaviors were represented. In the upper level, the representation was improved using rule and link descriptors together. And then in the lower level, behavior knowledge was represented in form of bit string and learned adapting their chromosomes by the genetic operators. A virtual robot was composed by the learned chromosome which had the best fitness. The composed virtual robot perceives the surrounding situations and they were classifying the pattern through rules and processing the result in neural network and behaving. To evaluate our proposed model, we developed HBES(Hybrid Behavior Evolution System) and adapted the problem of gathering food of the virtual robots. In the results of testing our system, the learning time was fewer than the evolution neural network of the condition which was same. And then, to evaluate the effect improving the fitness by the rules we respectively measured the fitness adapted or not about the chromosomes where the learning was completed. In the results of evaluating, if the rules were not adapted the fitness was lowered. It showed that our proposed model was better in the learning performance and more regular than the evolutionary neural network in the behavior evolution of the virtual robots.
A Study on Realization of System in Wireless Location Awareness Technology Using Ubiquitous Active RFID
Chang Duk Jung
Vol. 12, No. 3, Page: 83 ~ 93
Keywords : Active RFID, Smart Sensor, Wireless
Abstract
This paper is wireless location awareness technology using RFID. We investigates the Location of the received Signal strength reported by RF Analyses of the data are performed to understand the underlying features of location fingerprints. The system is performed factors the extreme environmental Emit signal, which consists of a unique 5000 Terminals. The Location Service have become very popular in many service industries, purchasing and distribution logistics, industry, manufacturing companies and a parking place. The Technically optimal Solution would be the storage of Intelligence information in the most common form of electronic data-carrying device in use in everyday life is the smart card based upon a contact field (telephone smart card, bank cards). The method of an indoor positioning experiment system is compared using measured Location data and a charge of service. The result of research showed the following: first, to check out the mechanism between benefit of system installation and operation of Active RFID. Second, it contributed on indoor wireless location intelligence system efficiency.
Rule Acquisition Using Ontology Based on Graph Search
Sangun Park, Jae Kyu Lee, and Juyoung Kang
Vol. 12, No. 3, Page: 95 ~ 110
Keywords : Rule Identification, Rule Acquisition, Ontology, OntoRule, Ontology Enginerring, XRML, RuleML, XML
Abstract
To enhance the rule-based reasoning capability of Semantic Web, the XRML (eXtensible Rule Markup Language) approach embraces the meta-information necessary for the extraction of explicit rules from Web pages and its maintenance. To effectuate the automatic identification of rules from unstructured texts, this research develops a framework of using rule ontology. The ontology can be acquired from a similar site first, and then can be used for multiple sites in the same domain. The procedure of ontology-based rule identification is regarded as a graph search problem with incomplete nodes, and an A algorithm is devised to solve the problem. The procedure is demonstrated with the domain of shipping rates and return policy comparison portal, which needs rule based reasoning capability to answer the customer’s inquiries. An example ontology is created from Amazon.com, and is applied to the many online retailers in the same domain. The experimental result shows a high performance of this approach.
A Case Based Music Recommendation System using Context-Awareness
Jae Sik Lee, and Jin Chun Lee
Vol. 12, No. 3, Page: 111 ~ 126
Keywords : Context-Awareness, Context Reasoning, Recommendation
Abstract
The context-awareness is one of the core technologies in ubiquitous computing environment. In this research, we incorporated the capability of context-awareness in a case-based music recommendation system. Our proposed system consists of Intention Module and Recommendation Module. The Intention Module infers whether a user wants to listen to the music or not from the environmental context information. Then, the Recommendation Module selects songs from the songs that are listened by similar users in similar context, and recommends them to the user. The results showed that our proposed system outperformed the traditional case-based music recommendation system in accuracy by about 9% point.
Ontology-based Product Family Modeling
Taioun Kim, and Kyungjong Lee
Vol. 12, No. 3, Page: 127 ~ 142
Keywords : Product Family, Ontology, OWL, Protege-2000
Abstract
As products become more complex, short-life cycled and customized, the design efforts require more knowledge-intensive, collaborative, coordinating, and information sharing. By sharing knowledge, information, component and process across different families of products, the product realization process will be more efficient, cost-effective and quick-responsive. The purpose of this paper is to propose an ontology-based product family modeling framework. The ideas of product family, ontology and Semantic Web were investigated in depth. A Semantic Web is originally defined as a web of data that can be processed directly or indirectly by machines, which operates intelligently. A Web Ontology Language (OWL) is designed for use by applications that need to process the content of information instead of just presenting information to humans. For the selected cellular phone product family, ontology was constructed and implemented using protege-2000.
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