• Title/Summary/Keyword: Profiling analysis

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Decision of Interface and Depth Scale Calibration of Multilayer Films by SIMS Depth Profiling

  • Hwang, Hye-Hyun;Jang, Jong-Shik;Kang, Hee-Jae;Kim, Kyung-Joong
    • Proceedings of the Korean Vacuum Society Conference
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    • 2012.02a
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    • pp.274-274
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    • 2012
  • In-depth analysis by secondary ion mass spectrometry (SIMS) is very important for the development of electronic devices using multilayered structures, because the quantity and depth distribution of some elements are critical for the electronic properties. Correct determination of the interface locations is critical for the calibration of the depth scale in SIMS depth profiling analysis of multilayer films. However, the interface locations are distorted from real ones by the several effects due to sputtering with energetic ions. In this study, the determination of interface locations in SIMS depth profiling of multilayer films was investigated by Si/Ge and Ti/Si multilayer systems. The original SIMS depth profiles were converted into compositional depth profiles by the relative sensitivity factors (RSF) derived from the atomic compositions of Si-Ge and Si-Ti alloy reference films determined by Rutherford backscattering spectroscopy. The thicknesses of the Si/Ge and Ti/Si multilayer films measured by SIMS depth profiling with various impact energy ion beam were compared with those measured by TEM. There are two methods to determine the interface locations. The one is the feasibility of 50 atomic % definition in SIMS composition depth profiling. And another one is using a distribution of SiGe and SiTi dimer ions. This study showed that the layer thicknesses measured with low energy oxygen and Cs ion beam and, by extension, with method of 50 atomic % definition were well correlated with the real thicknesses determined by TEM.

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A Bibliometric Analysis of Research Trends on Disaster in Korea (국내 재난 관련 연구 동향에 대한 계량정보학적 분석)

  • Lee, Jae Yun;Kim, Soojung
    • Journal of the Korean Society for information Management
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    • v.33 no.4
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    • pp.103-124
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    • 2016
  • This study aims to investigate the research trends of disaster in Korea through a bibliometric analysis. To do that, it analyzed 772 scholarly articles published from 2002 to 2016, retrieved from KCI (Korean Citation Index) database. For analysis, discipline profiling analysis, journal profiling analysis, and co-word analysis methods were used. The study found that the number of scholarly articles on disaster has increased, especially after Sewol ferry disaster occurred in 2004. The major discipline areas were identified as 'policy sciences/public administration' area, 'engineering' area, 'GIS/telecommunication' area, and 'medical/humanities/social sciences' area. In terms of time series, the proportion of scholarly articles published in 'policy sciences/public administration' area has decreased since 2014 and at the same time, discipline areas have been diversified including law, medical, and journalism.

Profiling Approach for the Choice between Speculation and Postponement Strategy in Supply Chain Management (공급사슬관리의 예측전략과 지연전략 선택을 위한 프로파일링 접근법)

  • Kang, Sung-Wook;Kim, Gyu-Bae
    • Journal of Distribution Science
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    • v.12 no.4
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    • pp.47-54
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    • 2014
  • Purpose - The postponement strategy, which delays the form, place, and production of products as late as possible, has been widely considered as a competitive supply chain management scheme in an era of mass customization and modular manufacturing. An interesting business phenomenon is that not all manufacturing/logistics firms choose the postponement strategy. Given that postponement is a counter-measure to speculation, which has some advantages under certain environments, the current imprudent inclination toward the postponement strategy may cause firms to lose the potential of the speculation strategy, an alternative strategy in supply chain management. Building on the logistics and manufacturing literature, this study examines characteristics of two contrasting strategies, postponement and speculation, and major factors favoring each strategy. Research design, data, and methodology - We apply the profiling approach to two business cases, HP printer and LG mobile phone. The profiling approach is a method of choosing a particular strategy aligned with environmental factors. While various approaches have been used to check the fit between a business strategy and environmental factors, the literature on manufacturing strategy and logistics has commonly adopted the profiling approach. Major factors used in profiling variables are derived from the literature. Two samples, HP printer and LG mobile phone, are selected, because they represent major characteristics appropriate for each strategy. The profiling is based on data from semi-organized interviews with managers. Results - The profiling approach shows that the postponement strategy is a suitable one for HP printers. Most factors, such as product life cycle, large production volume, low-price, product value, and monetary density, support delaying end products until as late as possible. Despite some exceptions, such as delivery time and economy of scale, our analysis states that the overall profile of HP printer is favorable for the postponement strategy. On the other hand, LG mobile phone may adapt the speculation strategy. Although it has large production volume and low delivery frequency, most characteristics support the speculation strategy for this product. An interesting finding is that, despite common perception that advanced technology products such as mobile telephones favor the postponement strategy, profiling proposes the speculation strategy for this product. Conclusions - Our analysis shows that speculation is not the universal option for supply chain management, and that, when choosing a specific strategy, one should consider many factors simultaneously. A major implication of our work is to emphasize the role of environmental factors such as supply chain variables in choosing an inventory strategy, and the importance of fit rather than solely strategic orientation. A theoretical contribution is to demonstrate the benefit of the simultaneous consideration of business variables in choosing specific strategies. For practitioners, our work leads us to consider the existence and the potential of speculation as a counter-measure to postponement. In addition, the comprehensive framework in this research may be instantly used in examining a practical strategy.

Analyzing the Research Fronts of Women's Studies in Korea Using Citation Image Makers Profiling (인용 이미지 구축자 프로파일링을 이용한 국내 여성학 분야 연구 전선 분석)

  • Kim, Jo-Ah;Lee, Jae Yun
    • Journal of the Korean Society for information Management
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    • v.33 no.2
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    • pp.201-225
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    • 2016
  • A new technique for revealing the research fronts of a interdisciplinary discipline has been developed. Citation image makers profiling (CIMP) determines the relationships between research papers with the title words of the citing documents. We adapted this new technique to analyze the research fronts and hot topics in women's studies of Korea. By Korean Citation Index (KCI) data in 2015, we selected 148 papers cited more than 9 times as the core documents of women's studies. Analysis of intellectual structure using citation image makers profiling was performed with the 148 core documents and those citing papers. Document co-citation analysis was hindered by citation data sparsity, while CIMP method successfully revealed the structure of research fronts of Korean women's studies including 2 divisions and 6 subdivisions. The CIMP method suggested in this study has good potential to discover the characteristics of research fronts of interdisciplinary research domains.

Metabolomic Analysis of Ethyl Acetate and Methanol Extracts of Blueberry (Ethyl Acetate와 Methanol을 이용한 블루베리 추출물 대사체 분석)

  • Jo, Young-Hee;Kim, Sugyeong;Kwon, Da-Ae;Lee, Hong Jin;Choi, Hyung-Kyoon;Auh, Joong-Hyuck
    • Journal of the Korean Society of Food Science and Nutrition
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    • v.43 no.3
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    • pp.419-424
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    • 2014
  • Metabolite profiling of blueberry (cultivar "Spartan") was performed by extraction using different solvents, methanol and ethyl acetate, through metabolomic analysis using LC-MS/MS. Unsupervised classification method (PCA) and supervised prediction model (OPLS-DA) provided good categorization of metabolites according to the extraction solvents. Metabolites of the anthocyanin family, including delphinidin hexoside, delphinidin, 5-O-feruloylquinic acid, malvidin hexoside, malvidin-3-arabinoside, petunidin-3-arabinoside, and petunidin hexoside, were mainly detected in methanol fractions, whereas those of the flavonoid family, including chlorogenic acid, chlorogenic acid dimer, 6,8-di-C-arabinopyranosyl-luteolin, and luteolin were successfully prepared in the ethyl acetate fraction. Thus, metabolomic analysis of blueberry extracts allows for the simple profiling of whole and distinctive metabolites for future applications.

A Comparison Test on the Potential Utility between Author Profiling Analysis(APA) and Author Co-Citation Analysis(ACA) (저자프로파일링분석과 저자동시인용분석의 유용성 비교 검증)

  • Ryoo, Jong-Duk;Choi, Eun-Ju
    • Journal of the Korean Society for information Management
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    • v.28 no.1
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    • pp.123-144
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    • 2011
  • This study compared Author Profiling Analysis(APA) to Author Co-Citation Analysis (ACA). The former is a new analytic technique on the intellectual structure of a science whereas the latter is a traditional analytic technique. The purpose of this study was to propose appropriate methods to analyze intellectual structure of a science in the Korean research environment. In order to achieve the goal, this study adopted APA using Text Mining for analysis on the intellectual structure of a science rather than relying on citation index in order to determine a potential utility of the new analytic technique that can identify the intellectual structure.

Flow-based Anomaly Detection Using Access Behavior Profiling and Time-sequenced Relation Mining

  • Liu, Weixin;Zheng, Kangfeng;Wu, Bin;Wu, Chunhua;Niu, Xinxin
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.10 no.6
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    • pp.2781-2800
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    • 2016
  • Emerging attacks aim to access proprietary assets and steal data for business or political motives, such as Operation Aurora and Operation Shady RAT. Skilled Intruders would likely remove their traces on targeted hosts, but their network movements, which are continuously recorded by network devices, cannot be easily eliminated by themselves. However, without complete knowledge about both inbound/outbound and internal traffic, it is difficult for security team to unveil hidden traces of intruders. In this paper, we propose an autonomous anomaly detection system based on behavior profiling and relation mining. The single-hop access profiling model employ a novel linear grouping algorithm PSOLGA to create behavior profiles for each individual server application discovered automatically in historical flow analysis. Besides that, the double-hop access relation model utilizes in-memory graph to mine time-sequenced access relations between different server applications. Using the behavior profiles and relation rules, this approach is able to detect possible anomalies and violations in real-time detection. Finally, the experimental results demonstrate that the designed models are promising in terms of accuracy and computational efficiency.

Analysis of Corporate Awareness for the Regulation of Recommendation Service based on Profiling (프로파일링 기반 추천서비스 규제에 대한 기업의 인식도 분석)

  • In-Kuk Song
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.23 no.4
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    • pp.149-155
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    • 2023
  • Profiling-based recommendation services provide the convenience of easily accessing specialized content for individuals on the user side and provide an important profit model on the corporate side. Despite the utility of these recommendation services, the issues such as personal information infringement and restrictions on consumer options are emerging, and certain regulatory movements for profiling recommendation services are actively underway. Under the circumstance, there are concerns that the introduction of regulations without a close review of regulatory effectiveness and side effects will weaken the competitiveness of domestic companies in the global market. This study systematically analyzed how companies providing profiling-based recommendation services perceive the corresponding regulations.

A Bibliometric Analysis on Twitter Research (트위터 관련 연구에 대한 계량정보학적 분석)

  • Kang, Beomil;Lee, Jae Yun
    • Journal of the Korean Society for information Management
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    • v.31 no.3
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    • pp.293-311
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    • 2014
  • This study explored the research trends on Twitter in Korea by informetric methods. All 539 articles on Twitter published from 2009 to the April of 2014 were obtained from the KCI. Only article titles, abstracts, and keywords by authors were used in analysis. Academic journals in many different disciplines where Twitter articles were produced were analysed by profiling, and then, the subject areas of researches on Twitter were analysed by co-word analysis. The results of this study showed that Twitter-related papers were published in as many as 53 disciplines with journalism, business administration, and computer science to be core fields. It was also found that the core subject areas are political issues and business.