• Journal of Family Relations
• /
• v.20 no.4
• /
• pp.157-172
• /
• 2016

Object: This study investigated the effect of self-esteem on depression through family relations satisfaction and tested whether working types would moderate such associations. Method: The subjects were 2,145 elderly who are healthy enough to work and were selected for the ninth Korean Welfare Panel Study. The resulting data were analysed by using the statistical program SPSS 2.1 with reference to steps for testing mediation by Baron and Kenny, moderated mediation by Heyes. Results: Self-esteem has both direct and indirect significant effects, revealing that family relations satisfaction fully mediates the effects of coping strategies of family conflict on depression. From the working types, self-employed/employer and unpaid family worker, moderate the indirect effect of self-esteem on depression through family relations satisfaction. Conclusions: In practical intervention of elderly depression reduction, efforts to increase family relations satisfaction is effective when it is difficult to us address satisfaction. Moreover, we have to provide intervention for elderly with work in context of relationship of individual and familial factor.

• KIPS Transactions on Software and Data Engineering
• /
• v.12 no.8
• /
• pp.371-380
• /
• 2023

Relation extraction is to extract relationships between named entities from text. Traditionally, relation extraction methods only extract relations between predetermined subject and object entities. However, in end-to-end relation extraction, all possible relations must be extracted by considering the positions of the subject and object for each pair of entities, and so this method uses time and resources inefficiently. To alleviate this problem, this paper proposes a method that sets directions based on the positions of the subject and object, and extracts relations according to the directions. The proposed method utilizes existing relation extraction data to generate direction labels indicating the direction in which the subject points to the object in the sentence, adds entity position tokens and entity type to sentences to predict the directions using a pre-trained language model (KLUE-RoBERTa-base, RoBERTa-base), and generates representations of subject and object entities through probabilistic crossover operation. Then, we make use of these representations to extract relations. Experimental results show that the proposed model performs about 3 ~ 4%p better than a method for predicting integrated labels. In addition, when learning Korean and English data using the proposed model, the performance was 1.7%p higher in English than in Korean due to the number of data and language disorder and the values of the parameters that produce the best performance were different. By excluding the number of directional cases, the proposed model can reduce the waste of resources in end-to-end relation extraction.

• Korean Journal of Child Studies
• /
• v.32 no.1
• /
• pp.51-69
• /
• 2011

This study examined how young children understand representational relations between referents and their representational objects. Ninety-four children aged 2- to 4.5-years of age were individually tested; firstly in the scale-model tasks, and then in the scale-map tasks. Data were analyzed both by means of Chi-Square test and by a more descriptive, micro analysis. According to the results, there were significant age differences in the understanding of representational relations, regardless of the type of representational objects. In the descriptive, micro analysis, it was found that before 3 years of age, young children have a great deal of difficulties in understanding representational relations. More importantly, young children under three seemed unable to understand representational relations, especially when the similarities as well as the differences between the representational object and the referent were very high. These results suggest that teachers of very young children need to select representational materials carefully, taking into consideration children's understanding of representational relations.

• The Transactions of the Korea Information Processing Society
• /
• v.4 no.9
• /
• pp.2269-2279
• /
• 1997

SVLIW (Superscalar VLIW) processor, a family of VLIW processors schedules very long instruction words at runtime. If a very long instruction word that is to be issued occurs data dependence relations and/or resource conflicts with those words that were under execution, a long NOP word is issued instead of the word until all the data dependence relations and/or resource conflicts have been resolved. Thus, LNOPs can be removed in object codes for SVLIW processors. In this paper, we measure an improvement of the cache hit ratio caused by removing LNOPs in the object code. We also analyze an improvement of the processor performance due to higher cache hit ratio of the processor. Benchmark tests promise that the performance of SVLIW processors is improved more than 5% compared with that of traditional VLIW processors.

• Journal of Information Technology Applications and Management
• /
• v.14 no.3
• /
• pp.49-77
• /
• 2007

Role-based access control (RBAC) models are recently receiving considerable attention as a generalized approach to access control. In line with the increase in applications that deal with spatial data. an advanced RBAC model whose entities and constraints depend on the characteristics of spatial data is required. Even if some approaches have been proposed for geographic information systems. most studies focus on the location of users instead of the characteristics of spatial data. In this paper. we extend the traditional RBAC model in order to deal with the characteristics of spatial data and propose new spatial constraints. We use the object-oriented modeling based on open GIS consortium geometric model to formalize spatial objects and spatial relations such as hierarchy relation and topology relation. As a result of the formalization for spatial relations. we present spatial constraints classified according to the characteristics of each relation. We demonstrate our extended-RBAC model called OOGIS-RBAC and spatial constraints through case studies. Finally. we compare our OOGIS-RBAC model and the DAC model in the management of access control to prove the efficiency of our model.

• Proceedings of the Korean Society for Language and Information Conference
• /
• 2007.11a
• /
• pp.349-357
• /
• 2007

Named entities (NEs) are important in many Natural Language Processing (NLP) applications, and discovering NE-related relations in texts may be beneficial for these applications. This paper proposes a method to extract the ISA relation between a "named entity" and its category, and an IS-RELATED-TO relation between the category and its related object. Based on the pattern extraction algorithm "Person Category Extraction" (PCE), we extend it for solving our problem. Our experiments on Wall Street Journal (WSJ) corpus show promising results. We also demonstrate a possible application of these relations by utilizing them for semantic search.

• SUVANNABHUMI
• /
• v.11 no.2
• /
• pp.85-105
• /
• 2019

Investigating the clash among different forms of international relations has been a frequent issue in modern research and attracts interest in the fields of history and politics. In the nineteenth-century, Asia witnessed a fierce struggle between traditional relations in Asia that existed during the feudal period, that of "The Heavenly Dynasty, China and its vassal states"; and a the new form of relations introduced by the West, that of relations between "colonial powers and colonized countries." As a result, the formation of "colonial societies" in Asia with very specific features was established. However, as stated by Vu (2015), for many reasons, which include the lack of material resources, the politically sensitive nature of the object, and the focus on gains and losses in previous studies, there were little studies on the process of demarcating the Tonkinese border between Franco and Chinese in Vietnam, especially from a globalization perspective. This study thus aims at examining the issue of the demarcation of the Tonkinese Border between Franco and Chinese (1885-1895), in view of globalization, as a case study for the transition process of the modern history of Vietnamese society.

• Asia pacific journal of information systems
• /
• v.6 no.1
• /
• pp.223-240
• /
• 1996

The paper proposes an approach, called OPNets, for modeling and validating manufacturing systems that is based on object-oriented high-level Petri nets. In OPNets, modeling components of Petri net are constructed into hierarchical objects that communicate with each other by passing messages. To enhance the reusability and maintainability, OPNets organizes a system into hierarchical objects that inherit attributes and behavioral properties from the object of super class and object-interaction relations are separated from the internal structure of object. The modeling scheme of OPNets tries to resolve the complexity problems of Petri net. To illustrate the modeling schemes of OPNets, a storage/retrieval example has been proposed.

• Bulletin of the Korean Mathematical Society
• /
• v.48 no.4
• /
• pp.689-695
• /
• 2011

The main object of this paper is to prove several inclusion relations associated with (j, ${\delta}$)-neighborhoods of various subclasses defined by Salagean operator by making use of the familiar concept of neighborhoods of analytic functions. Special cases of some of these inclusion relations are shown to yield known results.

• 제어로봇시스템학회:학술대회논문집
• /
• 1996.10b
• /
• pp.1091-1094
• /
• 1996

The Object of this study is to find the relations between LQR and eigenstructure assignment regulator. Algorithms for computing weighting matrices are proposed for the case that (i) closed-loop eigenvalues are specified, and (ii) closed-loop gain matrix is given. We also present a new eigenstructure assignment algorithm that minimizes a linear quadratic performance index.