• Journal of the Korean Association of Geographic Information Studies
• /
• v.5 no.4
• /
• pp.56-64
• /
• 2002

In order to establish and promote geographic information activities in controled environment maximizing interoperability and the degree of reusability of geographic information resources scattered in distributed platforms, standardization is recognized as one of the basic solutions essentially being performed at the community level, where intends to align with international standards. This paper describes some technical aspects of standardization needed to build a systematic mechanism of national geographic information standards development, giving approach to conceptual analysis especially directed by ISO(International Organization for Standardization). Following some enumerated benefits for profile based national standard architecture and the brief review from canadian approach we suggest herein a overview of national and community level standardization framework, which identify its primary elements consisting of common basis for standard development mechanism based on profiles.

• Journal of Internet Computing and Services
• /
• v.23 no.1
• /
• pp.11-17
• /
• 2022

Data mining is the task of accessing useful information from a large capacity of data. It can also be referred to as searching for correlations that can provide clues about the future in large data warehouses by using computer algorithms. It has been used in the tourism field for marketing, analysis, and business improvement purposes. This study aims to analyze the tourist profile in Turkey through data mining methods. The reason relies behind the selection of Turkey is the fact that Turkey welcomes millions of tourist every year which can be a role model for other touristic countries. In this study, an anonymous and large-scale data set was used under the law on the protection of personal data. The dataset was taken from a leading tourism company that is still active in Turkey. By using the k-means clustering algorithm on this data, key parameters of profiles were obtained and people were clustered into groups according to their characteristics. According to the outcomes, distinguishing characteristics are gathered under three main titles. These are the age of the tourists, the frequency of their vacations and the period between the reservation and the vacation itself. The results obtained show that the frequency of tourist vacations, the time between bookings and vacations, and age are the most important and characteristic parameters for a tourist's profile. Finally, planning future investments, events and campaign packages can make tourism companies more competitive and improve quality of service. For both businesses and tourists, it is advantageous to prepare individual events and offers for the three major groups of tourists.

• Journal of the Korean Society of Safety
• /
• v.26 no.1
• /
• pp.36-42
• /
• 2011

This paper presents a nonlinear soil-structure interaction analysis approach, which can consider precisely characteristics of structures, complicated soil profiles and nonlinear characteristics of soil. Although many methods have been developed to deal with the soil-structure interaction effects in past years, most of them are nearly unpractical since it is difficult to model complicated characteristics of structure and soil precisely. The presented approach overcomes the difficulties by adopting an maligned mesh generation approach and multi-linear model. The applicability of the proposed approach is validated and the effects of complicated characteristics of structure and soil on soil-structure interaction are investigated through the numerical example by the proposed nonlinear soil-structure interaction analysis approach.

• International Journal of Fuzzy Logic and Intelligent Systems
• /
• v.14 no.2
• /
• pp.122-129
• /
• 2014

Effective information gathering and retrieval of the most relevant web documents on the topic of interest is difficult due to the large amount of information that exists in various formats. Current information gathering and retrieval techniques are unable to exploit semantic knowledge within documents in the "big data" environment; therefore, they cannot provide precise answers to specific questions. Existing commercial big data analytic platforms are restricted to a single data type; moreover, different big data analytic platforms are effective at processing different data types. Therefore, the development of a common big data platform that is suitable for efficiently processing various data types is needed. Furthermore, users often possess more than one intelligent device. It is therefore important to find an efficient preference profile construction approach to record the user context and personalized applications. In this way, user needs can be tailored according to the user's dynamic interests by tracking all devices owned by the user.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
• /
• v.2 no.1
• /
• pp.43-50
• /
• 2009

This paper caters the need of acquiring the principal objects, characters, and scenes from a video in order to entertain the image based query. The movie frames are divided into frames with 2D representative images called "key frames". Various regions in a key frame are marked as key objects according to their textures and shapes. These key objects serve as a catalogue of regions to be searched and matched from rest of the movie, using viewpoint invariant regions calculation, providing the location, size, and orientation of all the objects occurring in the movie in the form of a set of structures collaborating as video profile. The profile provides information about occurrences of every single key object from every frame of the movie it exists in. This information can further ease streaming of objects over various network-based viewing qualities. Hence, the method provides an effective reduced profiling approach of automatic logging and viewing information through query by example (QBE) procedure, and deals with video streaming issues at the same time.

• Transactions of Materials Processing
• /
• v.25 no.1
• /
• pp.61-66
• /
• 2016

In the current study, we present a new model for the prediction of the strip profile and the residual stresses. This new approach is an analytical model that predicts the residual stresses from the effect of post-deformation. Since the residual stress cannot exceed the yield strength of the material, post-yielding may possibly occur in the post-deformation zone prior to the strip reaching the steady-state zone. The prediction accuracy of the proposed model is examined through comparison with the predictions from 3-D finite element (FE) simulations.

• Asian-Australasian Journal of Animal Sciences
• /
• v.13 no.8
• /
• pp.1035-1039
• /
• 2000

This study developed a Poisson generalized linear mixed model and a procedure to estimate genetic parameters for count traits. The method derived from a frequentist perspective was based on hierarchical likelihood, and the maximum adjusted profile hierarchical likelihood was employed to estimate dispersion parameters of genetic random effects. Current approach is a generalization of Henderson's method to non-normal data, and was applied to simulated data. Underestimation was observed in the genetic variance component estimates for the data simulated with large heritability by using the Poisson generalized linear mixed model and the corresponding maximum adjusted profile hierarchical likelihood. However, the current method fitted the data generated with small heritability better than those generated with large heritability.

• Proceedings of the Korean Society of Precision Engineering Conference
• /
• 1996.11a
• /
• pp.857-860
• /
• 1996

The area of gear dynamics has recently been the focus of many studies. A new tooth profile modification was proposed by author for reducing vibration and noise of involute gears. A comparative dynamic analysis of the gear drive with the involute tooth and the modified tooth profile(using cubic splines) is performed to the unuformal transmission error reduces the gear vibration and noise due to less dynamic tooth load variation during the meshing cycle. This work also include a gear design process by the meaning of a practical approach, such as Win95 based simulation program with all using basic geardesign variables. Especially this program enables gear designers to dynamic analysis based on G.U.I.

• Steel and Composite Structures
• /
• v.43 no.2
• /
• pp.221-228
• /
• 2022

Two-dimensional stagnation point slip flow of a Casson fluid impinging normally on a flat linearly shrinking surface is considered. The modeled PDEs are changed into nonlinear ODEs through appropriate nonlinear transformations.The flow is assumed to be steady and incompressible, with external magnetic field acting on it. Similarity transformation is utilized to investigate the behavior of many parameters for heat and velocity distributions using truncation approach.The influence of buoyancy parameter, slip parameter, shrinking parameter, Casson fluid parameter on the heat profile. The effect of the magnetic parameter on the streamwise velocity profile is also investigated.

• Asia-Pacific Journal of Business
• /
• v.13 no.3
• /
• pp.245-259
• /
• 2022

Purpose - Studies have been continuously carried out by researchers so far to clarify the factors influencing employee's incivility at work. However, the behavior of employees who are the target of incivility not much has been revealed which behavior affects the experience of incivility. Among them, it is interesting that the effect of OCB, a representative of employees' positive behavior in the workplace, on their experienced incivility has not been investigated. Therefore, this study attempted to clarify the relationship between OCB and experienced incivility that previous studies have not yet discovered. Design/methodology/approach - In the process, the concept of profile similarity was introduced and based on this, it was assumed that the OCB profile similarity between individual and colleagues, not the absolute level of OCB, would affect the experienced incivility and demonstrated this. The analysis was conducted by applying the survey data obtained from 205 employees to hierarchical regression analysis. Findings - As a result of the analysis, it was examined that the absolute OCB value used in previous studies did not significantly affect the experienced incivility, but the higher the similarity level, the less experienced incivility. The implications obtained based on this and future research directions are discussed together in the conclusion. Research implications or Originality - This study is the first one that considers OCB's profile similarity as a antecedent of experienced incivility. OCB profile similarity concept was only treated as a theoretical issue even in very early stage of OCB research stream, but this study examines the significant effect of OCB profile similarity. Moreover, behavioral antecedents of experienced incivility has not been identified well, but this study finds out that OCB can be a behavioral antecedent of experienced incivility.