• Journal of the Korea Society of Computer and Information
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• v.11 no.5 s.43
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• pp.337-343
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• 2006

The number of digital camera users is increasing rapidly and countless number of photos floats about on the internet especially through wide-spreading Cyworld and blogs. Though portraits cover a large percentage of those photos, because of the property rights, near entirety or such photos are unavailable for use by web-page producers, advertising companies, web-designers, and so on, who need a variety of portraits with differing expressions and characteristics. This study offers a search engine that incorporates image characteristics based on natural language index, which can provide a fast and reliable search result. It will create an opportunity for the digital photographers to mure easily sell their pictures and simultaneously provide the would-be users of the photos a better and easier way to find the pictures they are looking for. Once the search engine is realized, it will become possible to use not only the nouns as keywords and categories but also verbs in search of portraits revealing feelings, expressions, dressings, and other characteristics.

• The Transactions of the Korea Information Processing Society
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• v.13 no.5
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• pp.221-226
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• 2024

In information retrieval, queries come in various types, ranging from abstract queries to those containing specific keywords, making it a challenging task to accurately produce results according to user demands. Additionally, search systems must handle queries encompassing various elements such as typos, multilingualism, and codes. Reranking is performed through training suitable documents for queries using DeBERTa, a deep learning model that has shown high performance in recent research. To evaluate the effectiveness of the proposed method, experiments were conducted using the test collection of the Product Search Track at the TREC 2023 international information retrieval evaluation competition. In the comparison of NDCG performance measurements regarding the experimental results, the proposed method showed a 10.48% improvement over BM25, a basic information retrieval model, in terms of search through query error handling, provisional relevance feedback-based product title-based query expansion, and reranking according to query types, achieving a score of 0.7810.

• Journal of the Korean Society for information Management
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• v.19 no.1
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• pp.5-22
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• 2002

Users usually search for the required information via search engines which contain locations of the information. However. as the amount of data gets large, the result of the search is often not the information that users actually want. In this paper a web guide is proposed in order to resolve this problem. The web guide uses case-based learning method which stores and utilizes cases based on the keywords of user's action and agent's visit. The proposed agent system learns the user's visiting actions following the input of the data to be searched, and then helps rapid searches of the data wanted.

• Journal of Information Processing Systems
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• v.9 no.2
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• pp.217-236
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• 2013

Ranking thousands of web documents so that they are matched in response to a user query is really a challenging task. For this purpose, search engines use different ranking mechanisms on apparently related resultant web documents to decide the order in which documents should be displayed. Existing ranking mechanisms decide on the order of a web page based on the amount and popularity of the links pointed to and emerging from it. Sometime search engines result in placing less relevant documents in the top positions in response to a user query. There is a strong need to improve the ranking strategy. In this paper, a novel ranking mechanism is being proposed to rank the web documents that consider both the HTML structure of a page and the contextual senses of keywords that are present within it and its back-links. The approach has been tested on data sets of URLs and on their back-links in relation to different topics. The experimental result shows that the overall search results, in response to user queries, are improved. The ordering of the links that have been obtained is compared with the ordering that has been done by using the page rank score. The results obtained thereafter shows that the proposed mechanism contextually puts more related web pages in the top order, as compared to the page rank score.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.11
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• pp.5560-5579
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• 2019

Searchable symmetric encryption (SSE) scheme can perform search on encrypted data directly without revealing the plain data and keywords. At present, many constructive SSE schemes were proposed. However, they cannot really resist the malicious adversary, because it (i.e., the cloud server) may delete some important data. As a result, it is very likely that the returned search results are incorrect. In order to better guarantee the integrity of outsourcing data, and ensure the correction of returned search results at the same time, in this paper, we combine SSE with blockchain (BC), and propose a SSE-on-BC framework model. We then construct two concrete schemes based on the size of the data, which can better provide privacy protection and integrity verification for data. Lastly, we present their security and performance analyses, which show that they are secure and feasible.

• Journal of Digital Convergence
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• v.12 no.6
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• pp.245-252
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• 2014

Semantic search promises to provide more accurate result than present-day keyword matching-based search by using the knowledge base represented logically. But, the ordinary users don't know well the complex formal query language and schema of the knowledge base. So, the system should interpret the meaning of user's keywords. In this paper, we describe a user query interpretation system for the semantic retrieval of multimedia contents. Our system is ontological knowledge base-driven in the sense that the interpretation process is integrated into a unified structure around a knowledge base, which is built on domain ontologies.

• Fashion, Industry and Education
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• v.16 no.1
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• pp.46-55
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• 2018

The purpose of this exploratory study was to enhance the understanding of how brands tilize emojis in their marketing practices. A content analysis was conducted utilizing Google News as a search tool to access articles containing information pertaining to the use of emojis by brands. The combination of keywords used for the search were "emoji", "business", and "marketing". The search was narrowed down to the period of January $1^{st}$, 2014 - November $29^{th}$, 2017. This method generated a total of 604 trade publications with 55 of them providing information pertaining to specific brands and their use of emojis in their marketing strategies. A content analysis of trade publications has revealed that a variety of marketers have utilized emojis in their brand marketing practices. The entertainment, service, and food/drink industries have predominantly utilized emojis in their marketing practices, and their primary purpose for using emojis was to increase consumer engagement. Brands applied most of these emoji marketing strategies to an online or digital setting, whether it was social media pages, mobile applications, or any other form of computer-based marketing. Although there are limitations to this exploratory research in terms of its methodology, the findings of this study provide interesting insights into the potential of emojis as a marketing tool.

• Safety and Health at Work
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• v.12 no.3
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• pp.403-415
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• 2021

Background: This study aimed to assess the possibility of benzene exposure in workers of a Korean semiconductor manufacturing company by reviewing the issued patents. Methods: A systematic patent search was conducted with the Google "Advanced Patent Search" engine using the keywords "semiconductor" and "benzene" combined with all of the words accessed on January 24, 2016. Results: As a result of the search, we reviewed 75 patent documents filed by a Korean semiconductor manufacturing company from 1994 to 2010. From 22 patents, we found that benzene could have been used as one of the carbon sources in chemical vapor deposition for capacitor; as diamond-like carbon for solar cell, graphene formation, or etching for transition metal thin film; and as a solvent for dielectric film, silicon oxide layer, nanomaterials, photoresist, rise for immersion lithography, electrophotography, and quantum dot ink. Conclusion: Considering the date of patent filing, it is possible that workers in the chemical vapor deposition, immersion lithography, and graphene formation processes could be exposed to benzene from 1996 to 2010.

• PNF and Movement
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• v.12 no.2
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• pp.51-61
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• 2014

Purpose: This study aimed to review articles related to PNF and easily provide information to readers who have difficulty reading papers or using PNF in clinics without a background in statistical knowledge. Methods: We used PubMed to collect papers on international studies and we conducted a search on April 28, 2014. Keywords used for the PubMed search were "PNF" and "Proprioceptive Neuromuscular Facilitation". The search results identified 765 papers that had been published since 1954. To target the papers for review, we selected 66 papers, excluding papers that were not published in online journals and papers that were written in a second language. Results: The reviewed papers consisted of studies that addressed basic principles and procedures, combined with other interventions, including PNF stretching concepts, and other diseases with PNF concepts. The articles related to basic procedures and principles reported on optimal contraction intensity, patterns, and irradiation. The articles related to stretching and strengthening reported on stretching the hamstring muscles in healthy subjects, in combination with other interventions such as neuromobilization, clinical massage, kinesio taping, and water immersion. The articles related to specific diseases reported on stroke, low back pain, athletic injury, total knee replacement, etc. Conclusion: In the 66 articles reviewed for this study, there was little evidence that PNF has therapeutic value. However, in future research on the application of PNF, investigators could conduct a more in-depth analysis of this topic and present more objective and useful information on the therapeutic benefits of PNF.

• Annals of Hepato-Biliary-Pancreatic Surgery
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• v.27 no.2
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• pp.131-140
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• 2023

During minimally invasive liver resection (MILR), the Pringle maneuver aims to minimize blood loss and provide a clear operative field, thereby identifying intrahepatic structures and facilitating safe parenchymal transection. Several techniques for using the Pringle maneuver in MILR have been described. This review presents various methods which have been reported in the literature. A systematic literature search used the MEDLINE/PubMed database from its earliest records to August 2022 using appropriate search headings and keywords. The primary outcome was identifying techniques for performing hepatic inflow occlusion during laparoscopic/robotic hepatectomy. Inclusion criteria consisted of publications describing technical steps to obtain hepatic inflow occlusion during minimally invasive hepatectomy. A literature search identified 23 relevant publications, and the full texts were examined. The techniques described in the reports can be broadly categorized into three groups: (1) the Rummel-tourniquet technique, (2) vascular clamp use, and (3) the Huang Loop technique. Various techniques have been used in MILR to achieve inflow confinement successfully. The authors prefer the modified Huang Loop technique because it is inexpensive, reliable, and quick to apply or release. Hepatobiliary surgeons are advised to familiarize themselves with these MILR techniques, which have proven effective and safe inflow occlusion.