• The Journal of the Acoustical Society of Korea
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• v.28 no.7
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• pp.674-679
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• 2009

This paper proposes a method of player event retrieval using combination of two functions: detection of player name in speech information and detection of sound event from audio information in golf videos. The system consists of indexing module and retrieval module. At the indexing time audio segmentation and noise reduction are applied to audio stream demultiplexed from the golf videos. The noise-reduced speech is then fed into speech recognizer, which outputs spoken descriptors. The player name and sound event are indexed by the spoken descriptors. At search time, text query is converted into phoneme sequences. The lists of each query term are retrieved through a description matcher to identify full and partial phrase hits. For the retrieval of the player name, this paper compares the results of word-based, phoneme-based, and hybrid approach.

• KIPS Transactions on Software and Data Engineering
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• v.4 no.10
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• pp.447-454
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• 2015

This paper proposes geographical name denoising by machine learning of event detection based on twitter. Recently, the increasing number of smart phone users are leading the growing user of SNS. Especially, the functions of short message (less than 140 words) and follow service make twitter has the power of conveying and diffusing the information more quickly. These characteristics and mobile optimised feature make twitter has fast information conveying speed, which can play a role of conveying disasters or events. Related research used the individuals of twitter user as the sensor of event detection to detect events that occur in reality. This research employed geographical name as the keyword by using the characteristic that an event occurs in a specific place. However, it ignored the denoising of relationship between geographical name and homograph, it became an important factor to lower the accuracy of event detection. In this paper, we used removing and forecasting, these two method to applied denoising technique. First after processing the filtering step by using noise related database building, we have determined the existence of geographical name by using the Naive Bayesian classification. Finally by using the experimental data, we earned the probability value of machine learning. On the basis of forecast technique which is proposed in this paper, the reliability of the need for denoising technique has turned out to be 89.6%.

• Journal of the Korea Safety Management & Science
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• v.11 no.4
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• pp.221-228
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• 2009

Electronic Product Code Information Services(EPCIS) is an EPCglobal standard for sharing EPC related information between trading partners. EPCIS provides a new important capability to improve efficiency, security, and visibility in the global supply chain. EPCIS data are classified into two categories, master data (static data) and event data (dynamic data). Master data are static and constant for objects, for example, the name and code of product and the manufacturer, etc. Event data refer to things that happen dynamically with the passing of time, for example, the date of manufacture, the period and the route of circulation, the date of storage in warehouse, etc. There are four kinds of event data which are Object Event data, Aggregation Event data, Quantity Event data, and Transaction Event data. This thesis we propose an event-based data model for EPC Information Service repository in RFID based integrated logistics center. This data model can reduce the data volume and handle well all kinds of entity relationships. From the point of aspect of data quantity, we propose a formula model that can explain how many EPCIS events data are created per one business activity. Using this formula model, we can estimate the size of EPCIS events data of RFID based integrated logistics center for a one day under the assumed scenario.

• Journal of the Korean Professional Engineers Association
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• v.43 no.5
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• pp.43-47
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• 2010

The epoch-making event of history called "JE JU 4.3" took place in JE JU beautiful island on liberation political situation in 1948. The cruelties of this event were reported awful life loss over 30,000, cruel slaughter by government, scorched villages in mountain area, silence exaction and disadvantage of implication for long time over 40 years. But, the real features are in still a fog.. Recently, the searching movement has arised owing to democracy atmosphere and literature works with "JE JU4.3" materials were published from 1988 and the government announced official apologies in 2003. The novel "The Sun-set on Halla Mt", one of those works, is accessible to real history due to its time/space back ground and the real name of persons who were related with this event. It is important for readers to consider the difference between real history and fiction story. Because a historical novel should be evaluated by writer's theme rather than history character.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.42 no.4
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• pp.126-134
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• 2019

Nowadays, since there are so many big data available everywhere, those big data can be used to find useful information to improve design and operation by using various analysis methods such as data mining. Especially if we have event log data that has execution history data of an organization such as case_id, event_time, event (activity), performer, etc., then we can apply process mining to discover the main process model in the organization. Once we can find the main process from process mining, we can utilize it to improve current working environment. In this paper we developed a new method to find a final diagnosis of a patient, who needs several procedures (medical test and examination) to diagnose disease of the patient by using process mining approach. Some patients can be diagnosed by only one procedure, but there are certainly some patients who are very difficult to diagnose and need to take several procedures to find exact disease name. We used 2 million procedure log data and there are 397 thousands patients who took 2 and more procedures to find a final disease. These multi-procedure patients are not frequent case, but it is very critical to prevent wrong diagnosis. From those multi-procedure taken patients, 4 procedures were discovered to be a main process model in the hospital. Using this main process model, we can understand the sequence of procedures in the hospital and furthermore the relationship between diagnosis and corresponding procedures.

• Convergence Security Journal
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• v.15 no.4
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• pp.83-90
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• 2015

Recent, Cyber attacks such as hacking and malicious code techniques are evolving very rapidly changing cyber a ttacks are increasing, the number of malicious code techniques vary accordingly become intelligent. In the case of m alware because of the ambiguity in the number of malware have increased rapidly by name or classified as maliciou s code may have difficulty coping with. This paper investigated the naming convention of the vaccine manufacturer s in Korea to solve this problem, the analysis and offers a naming convention for security control event detection r ule analysis to compare the pattern of the detection rule out based on this current.

• Journal of English Language & Literature
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• v.56 no.6
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• pp.1311-1337
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• 2010

This paper deals with one of the hottest debates in the history of the Association for Asian American Studies (AAAS) since its inception in the late 1960s. In 1998 at Hawai'i, the AAAS awarded Lois-Ann Yamanaka its Fiction Award for her novel Blu's Hanging, only to have this award protested. The point at issue was the inappropriate representation of Filipino American characters called "Human Rats" in the novel. This event divided the association into two groups: one criticizing the novel for the problematic portrayal of Filipinos in colonial Hawai'i, and the other defending it from the criticism in the name of aesthetic freedom. Such a "crisis of representation" in Asian American identity reflects on the ways in which local Hawaiians are positioned in the complicate power dynamic between oppositional Hawaiian identity and cosmopolitan diasporic identity within the larger framework of Asian American pan-ethnic identity. The controversial event triggered the eruption of Asian Americans' anxiety over the identity-bounded nation of Asian America where intra-racial classism and conflict have been at play, which are primary themes of Blu's Hanging. This paper shows how Yamanaka's Blu's Hanging becomes so disturbing a work to prevent the hegemonic formality of Asian America identity from being fully dogmatic. Ultimately, it contradicts the political unconscious of the reading public and unmasked its false consciousness by engendering a "free subjective intervention" in the ideological reality of colonial Hawai'i.

• Journal of the Korean School Mathematics Society
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• v.17 no.1
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• pp.123-137
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• 2014

In this paper, the format of the Korean 2011 & the Japan 2008 elementary school mathematics curriculum are compared especially centered on elements, areas, objectives, and lesson time numbers. Through this comparison, suggestions can be obtained as follows. First, grade-group system which does not meet the actual elementary mathematics education needs to be reconsidered. Second, the area name 'number and operation' needs to be reduced into the area name 'number and calculation'. Third, using the area name 'pattern' needs to be reconsidered. Fourth, using the area name 'probability' needs to be reconsidered. If 'possibility' which some event occurs is seen as ratio, it can be contained area 'quantity relationship'. Fifth, containing the nature of mathematics into the school mathematics objectives needs to be reconsidered. Sixth, it is necessary to enhance the phase of mathematics in elementary education.

• KIPS Transactions on Software and Data Engineering
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• v.5 no.7
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• pp.345-350
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• 2016

This research suggests the keyword filtering about disaster and the method of detecting area in real-time event detecting system by analyzing contents of twitter. The diffusion of smart-mobile has lead to a fast spread of SNS and nowadays, various researches based on studying SNS are being processed. Among SNS, the twitter has a characteristic of fast diffusion since it is written in 140 words of short paragraph. Therefore, the tweets that are written by twitter users are able to perform a role of sensor. By using these features the research has been constructed which detects the events that have been occurred. However, people became reluctant to open their information of location because it is reported that private information leakage are increasing. Also, problems associated with accuracy are occurred in process of analyzing the tweet contents that do not follow the spelling rule. Therefore, additional designing keyword filtering and the method of area detection on detecting real-time event process were required in order to develop the accuracy. This research suggests the method of keyword filtering about disaster and two methods of detecting area. One is the method of removing area noise which removes the noise that occurred in the local name words. And the other one is the method of determinating the area which confirms local name words by using landmarks. By applying the method of keyword filtering about disaster and two methods of detecting area, the accuracy has improved. It has improved 49% to 78% by using the method of removing area noise and the other accuracy has improved 49% to 89% by using the method of determinating the area.

• Korean Journal of Agricultural Science
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• v.41 no.3
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• pp.187-191
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• 2014

The cultivation area and use of genetically modified (GM) crops have been increased continuously over the world. Concerns about the potential risks of GM crops are also increasing. Safe management for the development and production of GM crops is required according to Living Modified Organism Act in Korea. Planning about the methods, duration, and frequency of environmental monitoring is also required for commercial use of GM crops. GM Zoysia japonica Steud. (event name: JG21) expressing resistance to glufosinate-ammonium has been generated previously. By using gamma ray treatment to JG21 we also developed male sterility and dwarf Z. japonica (event name: JG21-MS). The objective of this study was to establish the monitoring system for environment release of JG21-MS. In this study we extracted RNA from JG21 and JG21-MS and conducted RAPD (random amplified polymorphic DNA) method to distinguish JG21 and JG21-MS.