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A Study on the Locations of Jagiso and Dogiso in Najumok Recorded in the 'Sejongsylrok Jiliji' (『세종실록(世宗實錄)』 「지리지(地理志)」 나주목(羅州牧)의 자기소(磁器所)·도기소(陶器所) 위치 연구)

  • Sung, Yun-gil
    • Korean Journal of Heritage: History & Science
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    • v.52 no.3
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    • pp.4-37
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    • 2019
  • Buncheong Ware, which was produced for approximately 200 years from the end of the Goryeo Dynasty to the beginning of the Joseon Dynasty, was used for royal house and state affairs during the early Joseon Dynasty. Records of Buncheong Ware can be found with Jagiso and Dogiso, considered the place of production, in the 'Sejongsylrok jiliji'. This is notable, unlike celadon and white porcelain. However, compared to Gyeongsangnam-do and Gyeongsangbuk-do, the study of Jagiso and Dogiso in Jeollanam-do and Jeollabuk-do has been unsatisfactory. In this paper, we examined the locations of Jagiso and Dogiso in the Jeollanam-do prefecture. This study is focused on Najumok, located in the western part of Jeollanam-do. The following research results were obtained: First, the locations of Jagiso and Dogiso in nine areas were examined. These nine areas comprised Najumok and its immediate provinces of Haejingun, Yeongamgun, Yeonggwanggun, Hampyeonghyeon, Muanhyeon, Gochanghyeon, Heungdeokhyeon and Jangseonghyeon. Previous research results exist for some of the regions; however, only Buncheong Ware was used to estimate Jagiso and Dogiso. In this paper, we tried to discover a more accurate position of Jagiso and Dogiso through a comparison of the place names recorded in the 'Sejongsylrok jiliji' and the place names recorded in the 'Hoguchoungsu'. Also, pottery-related area names and Buncheong Ware obtained from the field survey were reviewed. Table 2 shows the specific positions of Jagiso and Dogiso in the areas examined. Second, it would appear that pottery was produced not only in Jagiso but also in Dogiso. This is because much of Buncheong Ware was unearthed in Najumok, Yeongamgun, and Muanhyeon Dogiso. However, it was only excavated from the Buncheong Kiln Site in Yucheon Village, Sangweol-ri, Yeongam-gun; there could be limitations regarding to the rest of the areas because only a field survey was conducted, not an excavation. A recent excavation at Donggok Village in Cheongdo-ri, Gimje also confirmed a Buncheong Kiln Site. There were two Buncheong Ware ('公', '上') artifacts excavated from the site, believed to be Gongnapjagi. In addition, Cheongdo-ri, where the Buncheong Kiln Site is located, was found to be an area in Wurimgokmyeon, a former Wurimgok at a Dogiso in Jeonjubu. Consequently, it would seem that Dogiso also produced porcelain (Buncheong Ware). If more data can be obtained from the excavations at sites considered to be Dogiso, the results of Dogiso-related research will be strengthened. Third, in previous surveys, field surveys and excavation surveys were based on estimates using artifacts, but the name of the location of the Jagiso and Dogiso may be confirmed more accurately by tracking the changes in the names of the administrative areas. Therefore, although it is important to conduct research using the results of surveys or excavations, changes in the place names or places related to porcelain must not be overlooked.

Predicting stock movements based on financial news with systematic group identification (시스템적인 군집 확인과 뉴스를 이용한 주가 예측)

  • Seong, NohYoon;Nam, Kihwan
    • Journal of Intelligence and Information Systems
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    • v.25 no.3
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    • pp.1-17
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    • 2019
  • Because stock price forecasting is an important issue both academically and practically, research in stock price prediction has been actively conducted. The stock price forecasting research is classified into using structured data and using unstructured data. With structured data such as historical stock price and financial statements, past studies usually used technical analysis approach and fundamental analysis. In the big data era, the amount of information has rapidly increased, and the artificial intelligence methodology that can find meaning by quantifying string information, which is an unstructured data that takes up a large amount of information, has developed rapidly. With these developments, many attempts with unstructured data are being made to predict stock prices through online news by applying text mining to stock price forecasts. The stock price prediction methodology adopted in many papers is to forecast stock prices with the news of the target companies to be forecasted. However, according to previous research, not only news of a target company affects its stock price, but news of companies that are related to the company can also affect the stock price. However, finding a highly relevant company is not easy because of the market-wide impact and random signs. Thus, existing studies have found highly relevant companies based primarily on pre-determined international industry classification standards. However, according to recent research, global industry classification standard has different homogeneity within the sectors, and it leads to a limitation that forecasting stock prices by taking them all together without considering only relevant companies can adversely affect predictive performance. To overcome the limitation, we first used random matrix theory with text mining for stock prediction. Wherever the dimension of data is large, the classical limit theorems are no longer suitable, because the statistical efficiency will be reduced. Therefore, a simple correlation analysis in the financial market does not mean the true correlation. To solve the issue, we adopt random matrix theory, which is mainly used in econophysics, to remove market-wide effects and random signals and find a true correlation between companies. With the true correlation, we perform cluster analysis to find relevant companies. Also, based on the clustering analysis, we used multiple kernel learning algorithm, which is an ensemble of support vector machine to incorporate the effects of the target firm and its relevant firms simultaneously. Each kernel was assigned to predict stock prices with features of financial news of the target firm and its relevant firms. The results of this study are as follows. The results of this paper are as follows. (1) Following the existing research flow, we confirmed that it is an effective way to forecast stock prices using news from relevant companies. (2) When looking for a relevant company, looking for it in the wrong way can lower AI prediction performance. (3) The proposed approach with random matrix theory shows better performance than previous studies if cluster analysis is performed based on the true correlation by removing market-wide effects and random signals. The contribution of this study is as follows. First, this study shows that random matrix theory, which is used mainly in economic physics, can be combined with artificial intelligence to produce good methodologies. This suggests that it is important not only to develop AI algorithms but also to adopt physics theory. This extends the existing research that presented the methodology by integrating artificial intelligence with complex system theory through transfer entropy. Second, this study stressed that finding the right companies in the stock market is an important issue. This suggests that it is not only important to study artificial intelligence algorithms, but how to theoretically adjust the input values. Third, we confirmed that firms classified as Global Industrial Classification Standard (GICS) might have low relevance and suggested it is necessary to theoretically define the relevance rather than simply finding it in the GICS.

A Study on the Effect of the Document Summarization Technique on the Fake News Detection Model (문서 요약 기법이 가짜 뉴스 탐지 모형에 미치는 영향에 관한 연구)

  • Shim, Jae-Seung;Won, Ha-Ram;Ahn, Hyunchul
    • Journal of Intelligence and Information Systems
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    • v.25 no.3
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    • pp.201-220
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    • 2019
  • Fake news has emerged as a significant issue over the last few years, igniting discussions and research on how to solve this problem. In particular, studies on automated fact-checking and fake news detection using artificial intelligence and text analysis techniques have drawn attention. Fake news detection research entails a form of document classification; thus, document classification techniques have been widely used in this type of research. However, document summarization techniques have been inconspicuous in this field. At the same time, automatic news summarization services have become popular, and a recent study found that the use of news summarized through abstractive summarization has strengthened the predictive performance of fake news detection models. Therefore, the need to study the integration of document summarization technology in the domestic news data environment has become evident. In order to examine the effect of extractive summarization on the fake news detection model, we first summarized news articles through extractive summarization. Second, we created a summarized news-based detection model. Finally, we compared our model with the full-text-based detection model. The study found that BPN(Back Propagation Neural Network) and SVM(Support Vector Machine) did not exhibit a large difference in performance; however, for DT(Decision Tree), the full-text-based model demonstrated a somewhat better performance. In the case of LR(Logistic Regression), our model exhibited the superior performance. Nonetheless, the results did not show a statistically significant difference between our model and the full-text-based model. Therefore, when the summary is applied, at least the core information of the fake news is preserved, and the LR-based model can confirm the possibility of performance improvement. This study features an experimental application of extractive summarization in fake news detection research by employing various machine-learning algorithms. The study's limitations are, essentially, the relatively small amount of data and the lack of comparison between various summarization technologies. Therefore, an in-depth analysis that applies various analytical techniques to a larger data volume would be helpful in the future.

The Study on 'characters made by Empress Wu Zetian' through The Avatamsaka-Sutra in ink on the white paper of the Shilla Period (신라(新羅) 백지묵서(白紙墨書) 화엄경(華嚴經)과 칙천무후자(則天武后字) 고찰(考察))

  • Park, Sang-Kuk
    • Korean Journal of Heritage: History & Science
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    • v.37
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    • pp.445-469
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    • 2004
  • The Avatamsaka Sutra copied in ink on the white paper of Shilla Period is the oldest manuscript in korea. This Avatamsaka Sutra is volume 1-10 and 44-50 of the 80 volume's transcription. According to the postscript, written with 528 letters at the end of the volume 10 and 50, this sutra is made during A.D. 754-755, for six months by the order Master Yon-gi(綠起 法師) who founded Hwaumsa Temple(華嚴寺.) It explains the procedure of the ritual and production method of the sutra-copying, and also shows the 19 participants with their name, address, official title, and etc. When the sutra was founded, volume 1-10 were so congealed that we could not open the volumes. And volume 44-50 was prohibited to take photograph for preservation. According to the recent examination, it proved that this sutra is the treasure for the study of the characters made by Empress Wu Zetian(則天武后.) The characters made by Empress Wu Zetian(A.D. 625-705) are new shape of chinese characters which is different from the traditional characters. After the demise of the Queen, the characters were not used any more officially, but privately some people used the characters for personal tastes and interest. The characters in the sutra includes 512 characters of 13 kinds of Empress We Zetians'. Compared to the Tun-huang version of the sutra, this is far better treasure for the study of Empress We Zetians' characters in terms of the number of the character and the their use of frequency. The Avatamsaka Sutra of Shoso-in(正倉院) in japan copied in A.D. 768 does not use the Empress We Zetians' characters. In this respect, this Shilla Avatamsaka-Sutra is a unique one preserves the original forms of Chinese translation at that time.

A Study on the Structure and Function of the Underground Storage Facility in Baekje (백제 지하저장시설(地下貯藏施設)의 구조와 기능에 대한 검토)

  • Shin, Jong-Kuk
    • Korean Journal of Heritage: History & Science
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    • v.38
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    • pp.129-156
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    • 2005
  • Increasing discovery cases of underground storage facilities made of earth, wood, or stone are being reported from the recent excavation survey of the Baekje relics. Accordingly, the purpose of this study is to examine the structure and function of the underground storage facilities of Baekje following a classification made by the type and building method as follows: plask shape, wooden box shape, and stone box shape. The plask shape storage is the most representative underground storage of Baekje that has been found in numerous relics more than 600 sets around Hangang(Han River) and Geumgang(Geum River) from the Hansung period to Sabi period in Baekje Dynasty. It is a historical artefact as a part of the unique storage culture of Baekje around Hangang and Geumgang from the 3rd to 7th Century. Considering its structure and the example of Chinese one, it might had been used for a long-term storage of grains and various other items including earth wares. The storage facility in wooden box shape and stone box shape are found mostly in the relics Of Sabi period. Thus it might had taken some functions of the storage in traditional pouch shape which had decreased after the 6th Century. In particular, the wooden box shape and stone box shape storage required enormous labor force to build owing to their structure and building method. Thus, they were considered to had been used for official purposes in province fortress and citadel artefact. The wooden box shape storage facility is classified into flat rectangular type and square type based on the structure, and into Gagu type(架構式) and Juheol type(柱穴式) based on the building method. It might had been decided according to the geography and geological feature of the place where the storage was to be built. Considering the examples of Gwanbuk-ri relics and Weolpyong-dong relics, the wooden box shape storage facility might had been used for various items depending on the needs, including foods such as fruits and essential provisions at the military base. Considering the long-term food storage, the examples in Japan, and the functional characteristics of the underground storage facility, there is a possibility that the wooden and stone box shape storage facilities had been built so as to safely store important items in case of fire. This study is only a rudimentary examination for the storage facility in Baekje. Thus further studies are to be made specifically and comprehensively on the comparison with other regions, distribution pattern, discovered relics and artefacts, and functions.

An Examination on Dongbeomwas if Convex Roofing Tiles (수막새의 동범와(同范瓦)에 대한 검토 - 월성해자 출토 단판연화문 수막새를 중심으로 -)

  • Lee, Seonhui
    • Korean Journal of Heritage: History & Science
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    • v.39
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    • pp.59-93
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    • 2006
  • Wolseong in Gyeongju is a historic fortress site of Silla constructed under the reign of Pasanisageum that played politically and militarily important roles. The moat surrounding Wolseong had a function of protecting the fortress in wartimes but became a part of gardening in the unified Silla era. Lots of relics have been excavated from Wolseong moat since 1985. Among them a great number and kinds of convex roofing tiles are regarded as invaluable sources to show different aspects of Silla, from its earlier time through to the unified and on. Roofing tiles were widely used for national buildings such as royal palaces, temples and fortresses and even for other popular architecture and have been dug out a lot more than any other relics. Research on them, however, has been done poorly. Vigorous study is in progress with increasing number of roofing tiles coming from many recent excavations, though it has been limited to the studies on general genealogy of patterns and manufacture processes. Thus this essay seeks to find which are dongbeomwas, roofing tiles of a same mold, out of convex tiles with the pattern of a unilobed lotus flower dug out of Wolseong moat. It also attempts to identify dongbeomwas by examining detail characteristics of roofing tiles which have been confusingly termed as yusawa, similar roofing tiles, or donghyeongwa, roofing tiles of the same shape. The significance of identifying dongbeomwas could be emphasized by various facts resulting from researches on dongbeomwas; the ways to identify them correctly, their time sequence and their excavated sites. In conclusion, dongbeomwas were identified out of many kinds of convex tiles. If they were excavated from the same site, they share some common features. The sites where they were dug out also tell what changes were made with passage of time and what relations they had with neighboring Anapji. Since roofing tile molds haven't been found yet, the only way to identify dongbeomwas is to examine details of roofing tiles. Dongbeomwas excavated in Wolseong moat help to discuss the time of each district of it. Meanwhile it should be noted that the term 'dongbeomwa' be used only after exact examining.

From the Onset of Panic Symptoms to Getting to a Psychiatric Treatment : The Change by Improved Public Awareness of Panic Disorder in Korea (증상의 발현부터 치료의 시작까지 : 한국인의 공황장애 인식도 변화가 치료적 접근에 미친 영향)

  • Choi, Yong-Won;Seo, Ho-Jun;Han, Sang-Woo;Hong, Jin-Pyo;Lee, Kyoung-Uk;Kim, Se-Joo;Lim, Se-Won;Lee, Sang-Hyuk;Yang, Jong-Chul;Lee, Seung-Jae;Park, Seon-Cheol;Gim, Min-Sook;Chae, Jeong-Ho
    • Anxiety and mood
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    • v.15 no.2
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    • pp.61-67
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    • 2019
  • Objective : This study aimed to investigate the general process from the symptom onset to the psychiatric treatment in Korean panic patients and the effect of improved public awareness on it. Methods : This study has a retrospective design. The subjects were the new patients with panic disorder who visited the psychiatric outpatient clinic in twelve university-affiliated hospitals all across Korea. The medical chart was reviewed retrospectively and the data were collected including chief complaints of symptoms, recent stressors, the time to visit the psychiatric outpatient clinic, and visit of other departments and diagnostic approaches for their symptoms. Results : A total of 814 participants were included in the study. The most common department other than psychiatry the panic patients visited were cardiology (28.3%), general internal medicine (16.0%) and neurology (11.4%). The most frequently used diagnostic tests were a echocardiography (17.9%), 24-hour Holter monitoring (11.2%), and brain MRI (8.2%). Only 37.3% of participants visited psychiatric clinic directly. About 80% of participants visited psychiatric department within 1 year after their first panic symptoms and it took $13.8{\pm}13.7weeks$ on average. Comparing before and after 2012, the number of participants increased who visit directly the psychiatric clinic without visiting other departments (p=0.002) and without visiting emergency room (p<0.001). Conclusions : Our results suggest that a substantial number of patients visit departments other than psychiatry when they experience first panic symptoms. However, most patients begin psychiatric treatment within 1 year after their first symptoms and the number of patient are increasing who visit psychiatric department directly without visiting other departments.

A Study on Minimum Cabin Crew Requirements for Korean Low Cost Air Carriers

  • Yoo, Kyung-In;Kim, Mun-Kyung
    • The Korean Journal of Air & Space Law and Policy
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    • v.33 no.2
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    • pp.291-314
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    • 2018
  • In recent 3 years, Korea's low-cost airlines have expanded their areas of passenger transportation not only to domestic market but also to Japan, China, Southeast Asia and US territory as a total of 6 companies (8 airlines including small air operation business carriers). Currently, three more airlines have filed for air transportation business certification as future low-cost carriers, and this expansion is expected to continue. To cope with the aggressive airline operations of domestic and foreign low-cost carriers and to enhance their competitiveness, each low-cost airline is taking a number of strategies for promoting cabin service. Therefore, the workload of the cabin crew is increased in proportion to the expansion, and the fatigue directly connected with the safety task performance is increased. It is stipulated in the Enforcement Regulations of the Korea Aviation Safety Act that at minimum, one cabin crew is required per 50 passenger seating capacity, and all low cost carriers are boarding only the minimum cabin crew. Sometimes it is impossible for them to sit in a floor level emergency exit for evacuation, which is the main task of the cabin crew, and this can cause confusion among evacuating passengers in the event of an emergency. In addition, if one of the minimum cabin crew becomes incapacitated due to an injury or the like, it will become a serious impediment in performing emergency evacuation duties. Even in the normal situation, since it will be violating the Act prescription on the minimum cabin crew complement, passengers will have to move to another available airline flights, encountering extreme inconvenience. Annex 6 to the Convention on International Civil Aviation specifies international standards for the determination of the minimum number of cabin crew shall be based only on the number of passenger seats or passengers on board for safe and expeditious emergency evacuation. Thereby in order to enhance the safety of the passengers and the crew on board, it is necessary to consider the cabin crew's fatigue that may occur in the various job characteristics (service, safety, security, first aid)and floor level emergency exit seating in calculating the minimum number of cabin crew. And it is also deemed necessary for the government's regulatory body to enhance the cabin safety for passengers and crew when determining the number of minimum cabin crew by reflecting the cabin crew's workload leading to their fatigue and unavailability to be seated in a floor level emergency exit on low cost carriers.

Evolution of Aviation Safety Regulations to cope with the concept of data-driven rulemaking - Safety Management System & Fatigue Risk Management System

  • Lee, Gun-Young
    • The Korean Journal of Air & Space Law and Policy
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    • v.33 no.2
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    • pp.345-366
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    • 2018
  • Article 37 of the International Convention on Civil Aviation requires that rules should be adopted to keep in compliance with international standards and recommended practices established by ICAO. As SARPs are revised annually, each ICAO Member State needs to reflect the new content in its national aviation Acts in a timely manner. In recent years, data-driven international standards have been developed because of the important roles of aviation safety data and information-based legislation in accident prevention based on human factors. The Safety Management System and crew Fatigue Risk Management Systems were reviewed as examples of the result of data-driven rulemaking. The safety management system was adopted in 2013 with the introduction of Annex 19 and Chapter 5 of the relevant manual describes safety data collection and analysis systems. Through analysis of safety data and information, decision makers can make informed data-driven decisions. The Republic of Korea introduced Safety Management System in accordance with Article 58 of the Aviation Safety Act for all airlines, maintenance companies, and airport corporations. To support the SMS, both mandatory reporting and voluntary safety reporting systems need to be in place. Up until now, the standard of administrative penal dispensation for violations of the safety management system has been very weak. Various regulations have been developed and implemented in the United States and Europe for the proper legislation of the safety management system. In the wake of the crash of the Colgan aircraft, the US Aviation Safety Committee recommended the US Federal Aviation Administration to establish a system that can identify and manage pilot fatigue hazards. In 2010, a notice of proposed rulemaking was issued by the Federal Aviation Administration and in 2011, the final rule was passed. The legislation was applied to help differentiate risk based on flight according to factors such as the pilot's duty starting time, the availability of the auxiliary crew, and the class of the rest facility. Numerous amounts data and information were analyzed during the rulemaking process, and reflected in the resultant regulations. A cost-benefit analysis, based on the data of the previous 10 year period, was conducted before the final legislation was reached and it was concluded that the cost benefits are positive. The Republic of Korea also currently has a clause on aviation safety legislation related to crew fatigue risk, where an airline can choose either to conform to the traditional flight time limitation standard or fatigue risk management system. In the United States, specifically for the purpose of data-driven rulemaking, the Airline Rulemaking Committee was formed, and operates in this capacity. Considering the advantageous results of the ARC in the US, and the D4S in Europe, this is a system that should definitely be introduced in Korea as well. A cost-benefit analysis is necessary, and can serve to strengthen the resulting legislation. In order to improve the effectiveness of data-based legislation, it is necessary to have reinforcement of experts and through them prepare a more detailed checklist of relevant variables.

A Study on Usability of Open Source Software for Developing Records System : A Case of ICA AtoM (공개 소프트웨어를 이용한 기록시스템 구축가능성 연구 ICA AtoM을 중심으로)

  • Lee, Bo-Ram;Hwang, Jin-Hyun;Park, Min-Yung;Kim, Hyung-Hee;Choi, Dong-Woon;Choi, Yun-Jin;Yim, Jin-Hee
    • The Korean Journal of Archival Studies
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    • no.39
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    • pp.193-228
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    • 2014
  • In recent years, as well as management of public records, interest in the private archive of large and small is growing. Dedicated archive has various types. In addition, lack of personnel and budget, personnel records management professional because the absence, that help you maintain these records in a systematic manner is not easy. Request to the system have continued to rise, but the budget and professionals in order to solve this problem are missing. As breakthrough of the burden to the system with archive dedicated, it introduces the trends and meaning of public recording system, and was examined in detail AtoM function. AtoM is public land can be made by a method that requires a Web service, the database server. Without restrictions, including the advantage of being available free of charge, by the application or operating system specific, installation and operation is convenient. In addition, compatibility, and is highly scalable, AtoM use and convenient archive of private experiencing a shortage of personnel and budget. Because in terms of data management, and excellent interoperability and search share, and use, it is possible in the future, it favors also documentary use through a network of inter-agency archives and private. In addition, Enhancements exhibition services through cooperation with Omeka, long-term storage through Archivematica, many discussion is needed. Public centered around the private area of the recording management spilling expanded, open-source software allows to balance the recording system will be able to play an important role. In addition, the efforts of academia and in the field, close collaboration between the open source recording system through a user study should be continued. Furthermore, co-operation and sharing of private archives expect come true.