• Title/Summary/Keyword: Innovation. Clustering

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Innovation of technology and social changes - quantitative analysis based on patent big data (기술의 진보와 혁신, 그리고 사회변화: 특허빅데이터를 이용한 정량적 분석)

  • Kim, Yongdai;Jong, Sang Jo;Jang, Woncheol;Lee, Jongsu
    • The Korean Journal of Applied Statistics
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    • v.29 no.6
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    • pp.1025-1039
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    • 2016
  • We introduce various methods to investigate the relations between innovation of technology and social changes by analyzing more than 4 millions of patents registered at United States Patent and Trademark Office(USPTO) from year 1985 to 2015. First, we review the history of patent law and its relation with the quantitative changes of registered patents. Second, we investigate the differences of technical innovations of several countries by use of cluster analysis based on the numbers of registered patents at several technical sectors. Third, we introduce the PageRank algorithm to define important nodes in network type data and apply the PageRank algorithm to find important technical sectors based on citation information between registered patents. Finally, we explain how to use the canonical correlation analysis to study relationship between technical innovation and social changes.

Development of Brain Tumor Detection using Improved Clustering Method on MRI-compatible Robotic Assisted Surgery (MRI 영상 유도 수술 로봇을 위한 개선된 군집 분석 방법을 이용한 뇌종양 영역 검출 개발)

  • Kim, DaeGwan;Cha, KyoungRae;Seung, SungMin;Jeong, Semi;Choi, JongKyun;Roh, JiHyoung;Park, ChungHwan;Song, Tae-Ha
    • Journal of Biomedical Engineering Research
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    • v.40 no.3
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    • pp.105-115
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    • 2019
  • Brain tumor surgery may be difficult, but it is also incredibly important. The technological improvements for traditional brain tumor surgeries have always been a focus to improve the precision of surgery and release the potential of the technology in this important area of the body. The need for precision during brain tumor surgery has led to an increase in Robotic-assisted surgeries (RAS). One of the challenges to the widespread acceptance of RAS in the neurosurgery is to recognize invisible tumor accurately. Therefore, it is important to detect brain tumor size and location because surgeon tries to remove as much tumor as possible. In this paper, we proposed brain tumor detection procedures for MRI (Magnetic Resonance Imaging) system. A method of automatic brain tumor detection is needed to accurately target the location of the lesion during brain tumor surgery and to report the location and size of the lesion. In the qualitative assessment, the proposed method showed better results than those obtained with other brain tumor detection methods. Comparisons among all assessment criteria indicated that the proposed method was significantly superior to the threshold method with respect to all assessment criteria. The proposed method was effective for detecting brain tumor.

Eco-environmental assessment in the Sembilan Archipelago, Indonesia: its relation to the abundance of humphead wrasse and coral reef fish composition

  • Amran Ronny Syam;Mujiyanto;Arip Rahman;Imam Taukhid;Masayu Rahmia Anwar Putri;Andri Warsa;Lismining Pujiyani Astuti;Sri Endah Purnamaningtyas;Didik Wahju Hendro Tjahjo;Yosmaniar;Umi Chodrijah;Dini Purbani;Adriani Sri Nastiti;Ngurah Nyoman Wiadnyana;Krismono;Sri Turni Hartati;Mahiswara;Safar Dody;Murdinah;Husnah;Ulung Jantama Wisha
    • Fisheries and Aquatic Sciences
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    • v.26 no.12
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    • pp.738-751
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    • 2023
  • The Sembilan Archipelago is famous for its great biodiversity, in which the humphead wrasse (Cheilinus undulatus) (locally named Napoleon fish) is the primary commodity (economically important), and currently, the environmental degradation occurs due to anthropogenic activities. This study aimed to examine the eco-environmental parameters and assess their influence on the abundance of humphead wrasse and other coral reef fish compositions in the Sembilan Archipelago. Direct field monitoring was performed using a visual census throughout an approximately one km transect. Coral cover data collection and assessment were also carried out. A coastal water quality index (CWQI) was used to assess the water quality status. Furthermore, statistical-based analyses [hierarchical clustering, Pearson's correlation, principal component analysis (PCA), and canonical correspondence analysis (CCA)] were performed to examine the correlation between eco-environmental parameters. The Napoleon fish was only found at stations 1 and 2, with a density of about 3.8 Ind/ha, aligning with the dominant composition of the family Serranidae (covering more than 15% of the total community) and coinciding with the higher coral mortality and lower reef fish abundance. The coral reef conditions were generally ideal for supporting marine life, with a living coral percentage of about > 50% in all stations. Based on CWQI, the study area is categorized as good and excellent water quality. Of the 60 parameter values examined, the phytoplankton abundance, Napoleon fish, and temperature are highly correlated, with a correlation coefficient value greater than 0.7, and statistically significant (F < 0.05). Although the adaptation of reef fish to water quality parameters varies greatly, the most influential parameters in shaping their composition in the study area are living corals, nitrites, ammonia, larval abundance, and temperature.

A Characteristic Analysis and Countermeasure Study of the Hedging of Listed Companies in China Stock Markets

  • WU, Guo-Hua;JIANG, Xiao-Ling;DENG, Su-Ya
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.10
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    • pp.147-158
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    • 2021
  • Due to COVID-19, the risk of price volatility in commodity and equity markets increases. The research and application of hedging is the most effective way to reduce the market risk. Hedging is a risk management strategy employed to offset losses in investments by taking an opposite position in a related asset. We use K-means and hierarchical clustering methods to cluster companies and futures products respectively, and analyze the relationship between the number of hedging firms, regional distribution, nature of firms, capital distribution, company size, profitability, number of local Futures Commission Merchants (FCMs), regional location, and listing time. The study shows that listed companies with large scale and good profitability invest more money in hedging, while state-owned enterprises' participation in hedging is more likely to be affected by the company size and the number of local futures commission merchants, and private enterprises are more likely to be affected by the company profitability and the regional location. Listed companies are more willing to choose long-listed and mature futures products for hedging. We also provide policy advice based on our conclusion. So far, there is no study on the characteristics of hedging. This paper fills the gap. The results provide a basis and guidance for people's investment and risk management. Using clustering analysis in hedging study is another innovation of this paper.

The Lifespan of Social Hub In Social Networking Sites: The Role of Reciprocity, Local Dominance and Social Interaction

  • Han, Sangman;Magee, Christopher L.;Kim, Yunsik
    • Asia Marketing Journal
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    • v.17 no.1
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    • pp.69-95
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    • 2015
  • This paper examines a highly used social networking site (SNS) by studying the behavior of more than 11 million members over a 20 month period. The importance of the most highly active members to the overall network is demonstrated by the significant fraction of total visits by extremely active members in a given period but such members have surprisingly short lifespans (an average of only 2.5 months) as social hubs. We form and test a number of hypotheses concerning these social hubs and the determinants of their lifespan. We find that the speed of achieving social hub status increases the lifespan of a social hub. The norm of reciprocity is strongly confirmed to be present in the social hub population as visits are reciprocated. We also find that increasing local dominance in terms of activities over neighboring agents leads to a longer lifespan of a social hub. Contrary to expectations, local clustering in the vicinity of social hubs is smaller (rather than larger) than overall clustering. We discuss managerial implications in the paper.

Study on CEO New Year's Address: Using Text Mining Method (텍스트마이닝을 활용한 주요 대기업 신년사 분석)

  • YuKyoung Kim;Daegon Cho
    • Journal of Information Technology Services
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    • v.22 no.2
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    • pp.93-127
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    • 2023
  • This study analyzed the CEO New Year's addresses of major Korean companies, extracting key topics for employees via text mining techniques. An intended contribution of this study is to assist reporters, analysts, and researchers in gaining a better understanding of the New Year's addresses by elucidating the implicit and implicative features of messages within. To this end, this study collected and analyzed 545 New Year's addresses published between 2012 and 2021 by the top 66 Korean companies in terms of market capitalization. Research methodologies applied include text clustering, word embedding of keywords, frequency analysis, and topic modeling. Our main findings suggest that the messages in the New Year's addresses were categorized into nine topics-organizational culture, global advancement, substantial management, business reorganization, capacity building, market leadership, management innovation, sustainable management, and technology development. Next, this study further analyzed the managerial significance of each topic and discussed their characteristics from the perspectives of time, industry, and corporate groups. Companies were typically found to emphasize sound management, market leadership, and business reorganization during economic downturns while stressing capacity building and organizational culture during market transition periods. Also, companies belonging to corporate groups tended to emphasize founding philosophy and corporate culture.

Classification of Performance Types for Knowledge Intensive Service Supporting SMEs Using Clustering Techniques: Focused on the Case of K Research Institute (클러스터링 기법을 활용한 중소기업 지원 지식서비스의 성과유형 분류: K 연구원 사례를 중심으로)

  • Lee, Jungwoo;Kim, Sung Jin;Kim, Min Kwan;Yoo, Jae Young;Hahn, Hyuk;Park, Hun;Han, Chang-Hee
    • The Journal of Society for e-Business Studies
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    • v.22 no.3
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    • pp.87-103
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    • 2017
  • In recent years, many small and medium-sized manufacturing companies are making process innovation and product innovation through the public knowledge services. K Research institute provides different types of knowledge services in combination and due to this complexity, it is difficult to analyze the performance of knowledge service programs precisely. In this study, we derived performance items from bottom-up viewpoints, rather than top-down approaches selecting those items as in previous performance analysis. As a result, 74 items were finded from 82 companies in the K Research Institute case book, and the final result was refined to 17 items. After that a case-performance matrix was constructed, and binary data was entered to analyze. As a result, three clusters were identified through K-means clustering as 'enhancement of core competitiveness (product and patent),' 'expansion of domestic and overseas market,' and 'improvement of operational efficiency.'

Does Geography Matter in Technological Partner Selection? (지식확산과 집적경제를 고려한 기업의 기술협력파트너 위치선정 행태)

  • Jo, Yu-Ri
    • Journal of Technology Innovation
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    • v.19 no.2
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    • pp.153-184
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    • 2011
  • This paper investigates what kind of technological partner firms want to cooperate with in terms of partner location. Two geographical factors are considered. One is geographical proximity, given the tradeoff between the effectiveness of knowledge spillovers in proximity and diverse knowledge absorption from geographically distant partners. The other is how many other firms are co-located with potential partners because it is known that clustering regions can create more technological outputs. Analysis on 2008 Korea Innovation Survey data finds that partner proximity is the single most important factor in choosing a cooperation partner. While firms that are located in a region crowded with related industries prefer proximate partners, others that are surrounded by unrelated industries are more likely to cooperate with distant partners. The findings suggest that geographical proximity matters in partner selection because it not only stimulates knowledge spillovers but also reduces costs involving R&D cooperation such as monitoring costs and information costs. Moreover, firms take into consideration both the benefits and risks of clustering regions. If there are so many unrelated firms that they create agglomeration diseconomies such as congestion costs and unintentional knowledge leakages, firms are more likely to try to find their cooperation partners in other regions.

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Can the Evolutionary Economics Solve the Walras' Trap? (진화주의 기술경제학과 '왈라스 함정')

  • Kim, Tae-Eok
    • Journal of Technology Innovation
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    • v.13 no.1
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    • pp.213-246
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    • 2005
  • Despite of the impressive progress made in the Evolutionary techno-economics during the last two decades, there have been very little, if not at all, theoretical advancement in explaining an endogenous mechanism of transforming a technological paradigm within self-perpetuatingstructural dynamics. The question poorly attempted was raised by Schumpeter a century ago in his effort to overcome the well-known 'Walras' trap'. Although there have been increasing number of researchers recently tackling the issue quite seriously from within the Evolutionary school, I see it that radical reconstruction of the basic principle of Evolutionary research framework is urgently needed to solve the century long fundamental question, from evolutionary approach to transformational approach. In the paper, I will show the theoretical feasibility of explaining an endogenous mechanism of paradigm transformation, relying upon the concept of localized dynamics and the concept of morphogenetic structuration. It should be emphasized that there must be aendogenous process of deepening structural Instability generated in the process of economic coordination to secure efficient circular flow. The concept of development bottleneck initiated by the Baumol's cost disease could be regarded as one of the important source of such mechanism. Unfortunately, however, it is a brief conceptual description presented in the paper rather than a comprehensive analytical model, due to the space limitation imposed.

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Technopolis and Regional Development : A Review of Development Experience in Hsinchu, Taiwan

  • Hu, Tai-Shan;Lin, Chien-Yuan
    • World Technopolis Review
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    • v.2 no.2
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    • pp.50-63
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    • 2013
  • The Hsin-Chu Science-Based Industrial Park (HSIP), established in 1980, has made significant contribution to the development of Hsinchu technopolis. In the past three decades, not only the population structure and industrial patterns have changed significantly, but also a special knowledge-based industrial network has been developed. The 30 years experience of HSIP development provides an excellent opportunity for planners to review the long term impacts of science park development. This paper will review the evolution Hsinchu technopolis in areas of socioeconomic transformation and knowledge interactions between technology community and industrial clustering. In addition to the interpretation of its development by prevailing theories, critical factors influencing the future development of HSIP technopolis will also be discussed in this paper.