• Asia Marketing Journal
• /
• v.25 no.3
• /
• pp.148-159
• /
• 2023

As Major League Baseball (MLB)'s continuous decline in popularity has caused its game attendance to drop gradually, the league makes a desperate attempt such as game rule changes to remain relevant. Along with the introduction of new rules to make games more dynamic such as the pitch clock, bigger bases, and defensive shift limitations, it is important for MLB franchises to understand drivers for game attendance. We focus on the effect of accumulated winning performance of the two teams on game attendance, one of the key drivers of game attendance, and investigate how it is influenced by consumer and industry factors such as online search and game rule changes. We find that game attendance increases as the prior winning performance of the home (away) team increases (decreases). We also find that online search and rule changes for more dynamic games moderate the effect of winning performance on game attendance.

• International conference on construction engineering and project management
• /
• 2024.07a
• /
• pp.1238-1245
• /
• 2024

The construction industry faces the challenge of providing effective, engaging, and rule-specific safety learning. Traditional methodologies exhibit limited adaptability to technological advancement and struggle to deliver optimal learning experiences. Recently, there has been widespread adoption of information retrieval and ontology-based chatbots, as well as content delivery methods, for safety learning and education. However, existing information and content retrieval methods often struggle with accessing and presenting relevant safety learning materials efficiently. Additionally, the rigid and complex structures of ontology-based approaches pose obstacles in accommodating dynamic content and scaling for large datasets. They require more computational resources for ontology management. To address these limitations, this paper introduces iSafe Chatbot, a novel framework for construction safety learning. Leveraging Natural Language Processing (NLP) and Large Language Model (LLM), iSafe Chatbot aids safety learning by dynamically retrieving and interpreting relevant Occupational Safety and Health Administration (OSHA) rules from the comprehensive safety regulation database. When a user submits a query, iSafe Chatbot identifies relevant regulations and employs LLM techniques to provide clear explanations with practical examples. Furthermore, based on the user's query and context, iSafe Chatbot recommends training video content from video database, enhancing comprehension and engagement. Through advanced NLP, LLM, and video content delivery, iSafe Chatbot promises to revolutionize safety learning in construction, providing an effective, engaging, and rule-specific experience. Preliminary tests have demonstrated the potential of the iSafe Chatbot. This framework addresses challenges in accessing safety materials and aims to enhance knowledge and adherence to safety protocols within the industry.

• Journal of KIBIM
• /
• v.12 no.3
• /
• pp.30-38
• /
• 2022

Railway is compsed in various components, such as subgrade, track bed, sleeper, rail, and overhead line, on a linear space. Therefore, comprehensive work for various design standards and guidelines is required when designing a railway facility. For this reason, much time and effort are required to review the relevant design standards and guidelines. While, automatic legal check system for BIM models has been developed in the architectural engineering, it has not been developed in the railway engineering. This study reviews the korean design standard and the korean code for railway engineering, and suggests some rule items of logical information. Comparing the suggested rule items to the railway BIM library, items of logical information and additional attribute information are obtained. The analysis results of railway design standards and BIM library presented in this study would be utilized for defining rule-set items that is essential for development of the automatic legal check system for railway BIM models.

• Journal of Internet Computing and Services
• /
• v.2 no.5
• /
• pp.9-19
• /
• 2001

In this paper. we develop associate knowledge extraction method for finding and expanding user preference knowledge automatically from web document database. To reflect user interest or preferences, agent explores and extracts relevant information to central term involving the intent of users from the example documents. To do so, we apply association rule exploration data-mining method to the extraction of the relevant objects in the web documents. Also, to give the weighted-value to the extracted and relevant information, we present associate tag block-based weighting method. We applied to bioinformatics above associate knowledge extraction method to find related keywords.

• Journal of Information Management
• /
• v.19 no.1
• /
• pp.95-122
• /
• 1988

From the lack of common rule for the description of the characters and terms in bibliographic databases, it was hard to share information with other organizations and to obtain relevant bits of information through online retrieval. In this paper, the authors suggest a rule for the transcription of symbols and letters, that are found in articles. but impossible to input through CRT terminals, into the symbols and letters which is capable of input and retrieval. And, in the 'Hangul orthography' and 'Description rule of the borrowed words' which are officially announced by the Ministry of Education, more than two ways are permited for the expression of terms. In that case, to improve retrieval efficiency and to prevent 'confusion in description, they are regulated.

• Proceedings of the KIEE Conference
• /
• 2004.05a
• /
• pp.126-128
• /
• 2004

As e-mail is becoming increasingly important in every day life activity, mail users spend more and more time organizing and classifying the e-mails they receive into folder. Many existing recommendation systems or text classification are mostly focused on recommending the products for the commercial purposes or web documents. So this study aims to apply these application to e-mail more necessary to users. This paper suggests a dynamic recommendation agent system based on Rule Filtering Component recommending the relevant category to enable users directly to manage the optimum classification when a new e-mail is received as the effective method for E-Mail Management. Moreover we try to improve the accuracy as eliminating the limits of misclassification that can be key in classifying e-mails by category. While the existing Bayesian Learning Algorithm mostly uses the fixed threshold, we prove to improve the satisfaction of users as increasing the accuracy by changing the fixed threshold to the dynamic threshold. We designed main modules by rule filtering component for enhanced scalability and reusability of our system.

• Journal of Korean Academy of Nursing Administration
• /
• v.5 no.2
• /
• pp.317-336
• /
• 1999

Official nursing education of Korea under Japanese rule began in order to make the communication possible among Japanese medical men and Korean patients. It could generate high standard nurses from the beginning. Nurses licensure began in 1914 and the graduates of official nursing schools could get nurses licensure without further test. Official nursing education became the standard of R.N. education. The curriculum emphasized on Japanese and ethics first, and in order to produce nurse, practice second. In 1920 the shortage of nurse became serious problem, so the Japanese colonial authorities set up 5 official nursing school in large scale. In 1922 they revised the relevant laws and regulations to make the nursing licensure pass all over Japanese ruling area. 8-year preliminary education and 2 year curriculum became standard of official nursing education after then. Other nursing schools should satisfy this standard to let their graduate get nurses licensure without further test. Curriculum was revised to satisfy the dual goal of 'good housewife' and 'good nurse'. Every official nursing school tried to raise educational standard Nursing science was specialized and more emphasis was put on the occupational education. From the late 1930s, Japanese desperately needed additional manpower to replenish the dwindling ranks of their military and labor forces. They tried to produce more nurses by increase nursing school. Students had to do wartime work instead of study. Younger students could enter nursing school, and general school could produce R.N. In conclusion, nursing education of Korea under Japanese rule was determined by the official nursing education. The Japanese colonial authorities lead the official nursing education. It made nursing education fixed early and produced high standard R.N. But it made nursing education withdraw in late Japanese rule period. Nursing education of Korea began quite weak in the need of nursing and Korea herself. The weakness became a subject of nursing education of Korea after Japanese rule to produce better R.N..

• Journal of the Korea Society for Simulation
• /
• v.9 no.1
• /
• pp.21-38
• /
• 2000

A fuzzy dispatching algorithm with adaptable control scheme is proposed for more flexible and adaptable operation of AGV system. The basic idea of the algorithm is prioritization of all move requests based on the fuzzy urgency. The fuzzy urgency is measured by the fuzzy multi-criteria decision-making method, utilizing the relevant information such as incoming and outgoing buffer status, elapsed time of move request, and AGV traveling distance. At every dispatching decision point, the algorithm prioritizes all move requests based on the fuzzy urgency. The performance of the proposed algorithm is compared with several dispatching algorithms in terms of system throughput in a hypothetical job shop environment. Simulation experiments are carried out varying the level of criticality ratio of AGVs , the numbers of AGVs, and the buffer capacities. The rule presented in this study appears to be more effective for dispatching AGVs than the other rules.

• Proceedings of the Computational Structural Engineering Institute Conference
• /
• 1997.10a
• /
• pp.181-188
• /
• 1997

This work proposes possible use of the hyperdocument as a companion for structural steel designers and also as a part of any expert system to be used for the design of steel structures. AISC Specification for Structural Steel Buildings - Allowable Stress Design and Plastic Design, June 1, 1989-has been thoroughly hyperdocumented. Database for the most of AISC standard sections has been built for easier reference to sectional properties and even for search for the relevant sections. Hardy and wxCLIPS from AIAI, The University of Edinburgh were used as development tools. Hardy is integrated with NASA's rule-based and object-oriented language CLIPS 6.0 to enable users to rapidly develop diagram-related applications. Currently this work does not include any sophisticated rule-bases. Rather, this work will form a part of the expert systems for the steel structural design to be developed later. Nevertheless, the hyperdocument of this work will make a good companion for structural steel designers in its own right.

• Journal of Korea Multimedia Society
• /
• v.11 no.12
• /
• pp.1739-1748
• /
• 2008

When we conduct a data mining procedure on sample data sources, several rules are generated. But some rules are redundant or logically disjoint and therefore they can be removed. We suggest a new rule minimization algorithm inspired from logic synthesis to improve comprehensibility and eliminate redundant rules. The method can merge several relevant rules into one based on data mining and logic synthesis without high loss of accuracy. In case of two or more rules are candidates to be merged, we merge the rules with the attribute having the lowest information gain. To show the proposed method could be a reasonable solution, we applied the proposed approach to a problem domain constructing user preferred ontology in anti-spam systems.