• The KIPS Transactions:PartC
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• v.11C no.7 s.96
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• pp.905-916
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• 2004

Self-organizing hierarchical ad hoc network (SOHAN) is a new ad-hoc network architecture designed to improve the scalability properties of conventional 'flat' ad hoc networks. This network architecture consists of three tiers of ad-hoc nodes, i.e.. access points, forwarding nodes and mobile nodes. This paper presents a topology discovery and routing protocol for the self-organization of SOHAN. We propose a cross-layer path metric based on link quality and MAC delay which plays a key role in producing an optimal cluster-based hierarchical topology with high throughput capacity. The topology discovery protocol provides the basis for routing which takes place in layer 2.5 using MAC addresses. The routing protocol is based on AODV with appropriate modifications to take advantage of the hierarchical topology and interact with the discovery protocol. Simulation results are presented which show the improved performance as well as scalability properties of SOHAN in terms of through-put capacity, end-to-end delay, packet delivery ratio and control overhead.

• Journal of Korean Classical Literature and Education
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• no.33
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• pp.83-120
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• 2016

This discussion presents the results obtained from the implementation of a self-discovery career program using photo diaries and picture books. The program was conducted with 34 college students in 2015 during the 2nd semester of the liberal arts class. The program guided college students, who are faced with career decisions before employment, with information that helped them to understand their individual characteristics. Therefore, they could identify the jobs they aspired for or would be successful in based on that information. At this time, we believed that literature that is based on the essence of human life would be helpful. As a result, college students understood their personality type through the 1 st, 2nd, and 3rd stages of the self-development process and recognized the aspects of themselves which they had previously misunderstood, which they did not know, and which they already knew. This aided them in their career exploration. Therefore, the results showed that although self-discovery career programs based on literature are in their nascent stage, they facilitate college students in their career exploration.

• Journal of Information Processing Systems
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• v.4 no.2
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• pp.53-60
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• 2008

The Web Services infrastructure is a distributed computing environment for service-sharing. Mechanisms for Web services Discovery proposed so far have assumed a centralized and peer-to-peer (P2P) registry. A discovery service with centralized architecture, such as UDDI, restricts the scalability of this environment, induces performance bottleneck and may result in single points of failure. A discovery service with P2P architecture enables a scalable and an efficient ubiquities web service discovery service that needs to be run in self-organized fashions. In this paper, we propose an autonomic -interleaving Registry Overlay Network (RgON) that enables web-services' providers/consumers to publish/discover services' advertisements, WSDL documents. The RgON, doubtless empowers consumers to discover web services associated with these advertisements within constant D logical hops over constant K physical hops with reasonable storage and bandwidth utilization as shown through simulation.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2001.01a
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• pp.435-440
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• 2001

The development of web-aware knowledge discovery system has received a great deal of attention in recent years. It plays a key-enabling role for competitive businesses in the E-commerce era. One of the challenges in developing web-aware knowledge discovery systems is to integrate and coordinate and coordinate existing standalone or legacy knowledge discovery applications in a seamless manner, so that cost-effective systems can be developed without the need of costly proprietary products. In this paper, we present an approach for developing a framework of web-aware interoperable knowledge discovery system to achieve this purpose. This approach applies RMI and high-level code wrapper of Java distributed object computing to address the issues of interoperability in heterogeneous environments, which includes programming language, platform, and visual object model. The effectiveness of the proposed framework is demonstrated through the integration and extension of the two well-known standalone knowledge discovery tools, SOM_PAK and Nenet. It confirms that a variety of interoperable knowledge discovery systems can be constructed efficiently on the basis of the framework to meet various requirements of knowledge discovery tasks.

• The Journal of the Korea Contents Association
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• v.15 no.9
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• pp.157-166
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• 2015

The aim of this study is to understand the effects of a social capital discovery program on career identity and empowerment in adolescents under probation. As a result, it was discovered that the social capital discovery program had statistically significant differences in stability, goal orientation, distinctiveness and self-presence consciousness in the sub-area of career identity in adolescents under probation while there was no significant difference in the area of self-assertion. The social capital discovery program had statistically significant differences in internal and personal relationships among the sub-area of empowerment of the subjects while there were no significant differences in political-social areas. These results suggest that the social capital discovery program had significant effects on career identity and empowerment in adolescents under probation. In order to improve the career identity and empowerment in adolescents under probation, further studies on the social capital discovery program are needed and care should be paid to its usability.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2001.01a
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• pp.431-434
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• 2001

Knowledge discovery in databases(KDD) is the process for extracting valid, novel, potentially useful and understandable knowledge form real data. There are many academic and industrial activities with new technologies and application areas. Particularly, data mining is the core step in the KDD process, consisting of many algorithms to perform clustering, pattern recognition and rule induction functions. The main goal of these algorithms is prediction and description. Prediction means the assessment of unknown variables. Description is concerned with providing understandable results in a compatible format to human users. We introduce an efficient data mining algorithm considering predictive and descriptive capability. Reasonable pattern is derived from real world data by a revised neural network model and a proposed fuzzy rule extraction technique is applied to obtain understandable knowledge. The proposed neural network model is a hierarchical self-organizing system. The rule base is compatible to decision makers perception because the generated fuzzy rule set reflects the human information process. Results from real world application are analyzed to evaluate the system\`s performance.

• Korean Journal of Childcare and Education
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• v.17 no.3
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• pp.39-64
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• 2021

Objective: This study analyzed the compliance situation of class rules for 3-year olds in the Wisdom class at Sarang kindergarten. Methods: Research participants were composed of 17 young children and two teachers in the wisdom class for 3-year-olds and data collection and analysis were conducted by participant observation using the qualitative method. Results: Research results were as follows. The compliance situation of class rules included compliance, violation, and among compliance and violation. First, compliance was divided into compliance with assistance and self compliance. Compliance with assistance is for young children to follow the rules under the guidance, help, and instructions of teachers. Self compliance is for children to understand and follow the rules themselves. Second, Between compliance and violation is conflict of the rules created by different standards of class rules. Third, depending on who found the violation, violation was classified into teacher discovery, peer discovery, and acquiescence. The teacher discovery led to teacher guidance and teacher acquiescence, The peer discovery led to peer notification, peer resistance, peer punishment, and peer acquiescence. Conclusion/Implications: By looking at the compliance situation of class rules for three-year-olds, the educational implications of how to guide class rules were obtained for children.

• The Journal of Korean Academic Society of Nursing Education
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• v.6 no.1
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• pp.23-35
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• 2000

This qualitative nursing research used a hermeneutic phenomenological approach to discovery of meaning of the nursing students' clinical experience in junior colleges. Data collecting was utilized by in- depth face-to-face interviews of 10 sophomores who were participating in their first clinical experience. The following themes of the experience emerged. 1) The first step of fear (fear, being embarrassed) 2) Rhythmical patterning of theory and practice(disappointment of nurses, recognition of the gap between the theory and practice, the conflict between medical doctors and nurses, trouble with the students from other colleges, confusion from nurses' educational and noneducational attitudes, burden of responsibility for nurses' jobs, and the tiresome nature of repeated practice) 3) Discovery of changing self, awareness of self-expansion (awareness of professional nurses' roles, formation of self-confidence, changing of one's state of mind) From this study essential theme of clinical experience of nursing student's was identified, and continuous efforts to establish better adaptation of nursing students to clinical practice are required.

• English & American cultural studies
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• v.14 no.1
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• pp.73-94
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• 2014

Accounts from therapeutic culture seem often to associate the selfish, or at least self-centered quest for self-fulfillment with individual choice or satisfaction, self-expression, expressive individualism, and emotionalism. These associations point to the downside of therapy as they present it as constituting a culture of narcissism, selfishness, or irresponsibility. While some of these characterizations contain useful insights, they overlook what are maybe some of the most important features of a therapeutic outlook. This paper aims to reveal that the therapeutic imperative is not so much geared towards the realization of self-fulfillment, as it is the promotion of self-limitation. Therapeutic culture tends to posit the self in a fragile and feeble form and insist that the management of life requires the continuous intervention of therapeutic expertise. Because of this, the elevated concern with the self is underpinned by anxiety, pain, suffering, and survival, rather than seen as a positive vision of realizing the human potential. Therapeutic culture has in this way helped to construct a diminished sense of self by which one is seen as suffering from an emotional deficit and vulnerability. This paper demonstrates this downside of therapeutic culture concerning self-limitation and the sense of a diminished self by examining popular "misery memoirs." Misery memoirs are widely consumed by the general public, therefore tend to be treated by contemporary therapeutic culture as a gospel on the therapeutic ideal for self-fulfillment and self-discovery. This is, despite the existence of hidden evidence to the contrary, because of their redemptive, happy endings that show individuals overcoming difficult trials such as child abuse, incestuous rape, and domestic violence. Individual self-fulfillment and self-discovery in such stories are not achieved through the active agency of the subject but through the passive endurance of pathological symptoms and with the aid of expertise and outside support. Therefore, such stories put victims in the limited position.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.39B no.9
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• pp.561-569
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• 2014

In wireless ad hoc networks, neighbor discovery is essential in the network initialization and the design of routing, topology control, and medium access control algorithms. Therefore, efficient neighbor discovery algorithms should be devised for self-organization in wireless ad hoc networks. In this paper, we propose a probabilistic neighbor discovery (PND) algorithm, which aims at reducing the neighbor discovery time by adjusting the transmission probability of advertisement messages through the multiplicative-increase/multiplicative-decrease (MIMD) policy. To further improve PND, we consider the collision detection (CD) capability in which a device can distinguish between successful reception and collision of advertisement messages. Simulation results show that the transmission probabilities of PND and PND with CD converge on the optimal value quickly although the number of devices is unknown. As a result, PND and PND with CD can reduce the neighbor discovery time by 15.6% to 57.0% compared with the ALOHA-like neighbor discovery algorithm.