COLLABORATION WITH HIGHER EDUCATION INSTITUTIONS (HEIs) FOR SUCCESSFUL FIRM INNOVATION

Hakil Moon,Babu John Mariadoss,Jean L. Johnson 글로벌지식마케팅경영학회 2016 Global Marketing Conference Vol.2016 No.7

Introduction Shorter innovation cycles, the huge cost of R&D and dearth of resources compel firms to search for new innovation sources (Gassmann and Enkel 2004). Current research argues that firms need to open up their solid boundaries and seek valuable knowledge from external partners so that firms can extend the innovation function beyond their four walls (Chesbrough 2003). In this context past research has identified universities, or higher education institutions (HEIs) as an important source of innovation (e.g., Lambert 2003). Indeed, universities undertake a “third mission” in addition to their core mission of research and teaching, by focusing on “technology transfer” that engages in the process of the commercialization of science (Etzkowitz et al. 2000). Thus, firms can take huge advantages through the collaboration with universities. While relationships between firms have the risk of opportunism embedded in them, support provided by universities are hard to imitate by competitors due to the novelty and uniqueness in the ideas they provide their partner firms. Despite this important role that universities play, no systematic theoretical treatment has been attempted in academia. Ironically, university and industry links have been studied much less frequently and have been valued lesser than other sources (e.g., suppliers and customers) in terms of knowledge transfer for firm innovation (Hughes 2011). Extant research examines collaborations between universities and firms using simple descriptive analysis (e.g., Laursen and Salter 2004) and illustrates the relationship with anecdotal evidence (e.g., Cosh and Hughes 2010). Thus, extant literature provides little-to-no empirical evidence regarding firm performance, such as a firm’s innovation outcomes, when the firms are supported by universities. Our broad-based investigation makes several key contributions. First, our study is the first to demonstrate empirically what types of HEIs’ activities enhance a firm’s innovation outcomes. Because the two different types of HEI activities have different features, it helps us get a more precise understanding of which specific type of HEI-supported activity influences which firm innovation outcome. Second, our research finds that a firm’s absorptive capacity influences the relationship between HEI-supported activities and a firm’s innovation outcomes. This finding helps to identify how firm capability to absorb outside knowledge influences the relationship of HEIs’ involvement on a firm’s innovation outcomes. Conceptual Framework The most frequent form of a firm’s interaction with universities is people-based activities (Hughes 2011). Universities transfer knowledge through people-related activities such as conferences, special lectures, education programs, and social networks supporting firm innovation. Such people-based activities can influence firm innovation performance. People-based activities involve the activities conducting by firms to increase their business competitiveness. Since a firm’s employees are key to discovering new products and processes, special training programs provided by universities will help supplementing knowledge towards specific firm innovation outcomes. Additionally, other people-related activities such as placing university staff on a firm’s board of directors can also encourage exchange of knowledge and information resulting in cutting-edge new product and process innovation. Tether and Tajar (2008) found that firms that have participated in professional meetings or conferences held by HEIs have a better chance of surpassing their current innovation performance. A firm can improve its innovation performance by making human assets supported by its partners. As partners work together, this helps increasing work efficiency by improving communication, knowledge sharing, and their relative capacity to absorb knowledge for innovation. Research suggests that universities may have lower barriers to engagement with firms by removing bureaucracy, lowering transaction costs and speeding up reaction times (Mateos-Garcia and Sapsed 2011). Therefore, universities have an important role in transferring new knowledge through people-based activities, resulting in new products and processes for the firm. Thus, we hypothesize as follows: Hypothesis 1A (H1A). A firm’s people-based activities with HEIs are positively related to the introduction of new products in the firm. Hypothesis 1B (H1B). A firm’s people-based activities with HEIs are positively related to the introduction of new processes in the firm. Universities have a distinct role in affecting a firm’s innovation performance through problem-solving activities. Firms that acquire knowledge from universities improve their competitive position that helps firm acquire a competitive advantage over other firms that do not collaborate with universities (Gassmann and Enkel 2004). Universities provide problem-solving activities such as joint research, contract research, consulting services, informal advice and provision of access to specialized instrumentation, equipment or materials and of product prototyping. For example, in 2009, US firms sponsored more than $4 billion worth of university research (Kurman 2011), as a result of which U.S. universities own nearly one-quarter of new U.S. patents in the fields of nanotechnology and biotechnology. Thus, firms that collaborate with universities can achieve cutting-edge product and process innovation (Kurman 2011). Hosting workshops and performing joint research with universities are core problem-solving activities. For example, IBM, one of the most successful and established enterprises in the IT market, hosted 350 workshops per year and has had 50-100 ongoing research projects with universities, helping IBM to successfully launch new products into the market (Gassmann and Enkel 2004). Further, firms can also integrate partners (i.e., HEIs) to combine their different competencies to enrich their own innovation process (Gassmann and Enkel 2004). Based on the above, we hypothesize as follows:Hypothesis 2A (H2A). A firm’s problem-solving activities with HEIs are positively related to the introduction of new products. Hypothesis 2B (H2B). A firm’s problem-solving activities with HEIs are positively related to the introduction of new processes. Shorter time-to-market strategies, increasing R&D costs and a dearth of resources cause firms to search for new innovation strategies. This phenomenon is reinforced by a rapid churn in technology and customer demands. In this competitive environment, HEIs’ involvement is increasingly important for a firm’s innovation success because integrating external sources of knowledge from HEIs can result in major advantages for firms (Rappert et al. 1999). Further, people-based and problem-solving activities supported by HEIs do not replace a firm’s internal innovation activities and, as a result, the firm undertakes a great deal of its own innovation activities. Also, scholars argue that collaboration with other partners does not always provide better innovation performance because of the lack of a firm’s capability to processing valuable knowledge from the outside partners (Cohen and Levinthal 1990). This indicates that the mere acquisition and exploitation of knowledge from universities do not guarantee successful firm innovation outcomes. To create successful firm innovation, the firm should possess absorptive capacity, which is the learning capability to processing knowledge acquired from the HEIs into their internal work. Thus, firms can be expected to invest in their absorptive capacity in this situation (Tether and Tajar 2008). Further, Keller (1996) argues that successful R&D spillover (i.e., absorptive capacity) effects are dependent on the activities of human capital (i.e., people-based activities). Also, Cohen and Levinthal (1990) argue that firms can increase their absorptive capacity directly, as when they send personnel for advance technical training (i.e., people-based activities). Further, Kim (1998) argues that absorptive capacity is the major factor in developing problem-solving skills that allow a firm to create new knowledge that influences firm innovation performance. As such, absorptive capacity stresses the internal capability to acquire and assimilate outside knowledge into a firm while HEIs’ involvement is a resource that is created by external source enhancing a firm’s innovation outcomes. Therefore, identifying the role of absorptive capacity is a useful tool to explain the relationship of HEIs’ people-based activities and problem-solving activities on firm innovation performance. However, Nooteboom and colleagues (2007, pp. 1031) argue that “while there may be increasing returns in absorptive capacity, improving the general ability to understand and appreciate novelty value in collaboration, there are decreasing returns to knowledge in finding further novelty: the more one knows the further away one has to look for novelty.” This indicates that too much absorptive capacity in a firm negatively affects the impact of people-based activities on a firm’s innovation performance. While people attending conferences or lectures supported by universities may acquire novel knowledge that can influence a firm’s innovation performance, their activities may have negative impact on a firm’s innovation outcomes when a firm has greater absorptive capacity, due to diminishing impact of a firm’s absorptive capacity to create novel idea. Extant research suggests that the greater a firm’s absorptive capacity, the lesser the firm can find further novelty (Noteboom et al. 2007), which suggests that absorptive capacity makes firm innovation activities less efficient. Based on the above discussion, we hypothesize as follows:Hypothesis 3A (H3A). People-based activities with HEIs positively related to the introduction of new products and/or processes will become weaker at a higher level of absorptive capacity. Hypothesis 3B (H3B). People-based activities with HEIs positively related to new product radicalness will become weaker at a higher level of absorptive capacity. Hypothesis 4A (H4A). Problem-solving activities with HEIs positively related to the introduction of new products and/or processes will become stronger at a higher level of absorptive capacity. Hypothesis 4B (H4B). Problem-solving activities with HEIs positively related to new product radicalness will become stronger at a higher level of absorptive capacity. Methods We test the hypotheses presented across two studies. The purpose of Study 1 is to validate our prediction about how HEI activities affect firm innovation performance (H1A to H2B). Study 2 expands this initial research frame by validating the moderating effects of a firm’s absorptive capacity on firm innovation outcomes (H3A to H4B). Implications There is an argument to transfer knowledge from HEIs to firms due to the cultural differences between them (Lambert 2003). Nevertheless, universities are playing an increasingly strategic role in stimulating innovation in firms though the transfer of technology (Hughes 2011). Scholars have largely disregarded the more specific activities performed by HEIs such as people-based and problem-solving activities. Little attention has been paid to how people-based and problem-solving activities affect firm innovation performance. Further, firm innovation outcomes can be affected differently by some specific HEI activities because each activity supported by HEIs plays a different role in impacting certain types of firm innovation outcomes. Based on our results, problem-solving activities are related to new product innovation while people-based activities are related to new process innovation. Additionally, absorptive capacity had a negative moderating effect with people based activities and a positive moderating effect with problem solving activities on a firm’s innovation outcomes. This is important to theoretical and practical implications because a firm is able to know which activities are required to improve their new product or process innovation. This leads a firm to save huge costs to achieve successful innovation.

THE RELATIONSHIP OF NETWORK TIE AND BREAKTHROUGH INNOVATION: IMPLICATIONS OF STRONG AND WEAK TIE POSITION

Hakil Moon,Anthony Di Benedetto,Sang Kyun Kim 글로벌지식마케팅경영학회 2018 Global Marketing Conference Vol.2018 No.07

Introduction Many extant studies in the strategic management literature show that a firm’s network influences its innovation outcomes (Ahuja, Lampert, & Tandon, 2008). Networks are characterized by strong and weak ties in terms of the combination of the amount of time, intensity, intimacy, and reciprocal services (Granovetter, 1973). There is, however, a continuing debate about the relative advantages of strong and weak ties. These equivocal findings suggest that the relationship between tie strength and a firm’s innovation outcome is complex, and call for a more detailed examination of this relationship. The implications of networks for a firm’s innovation outcomes are quite significant. Nevertheless, the majority of research studies still examine networks using simple dyadic relationships (e.g., Capaldo, 2007). In reality, a firm’s networks are composed of more than a single dyadic relationship and are much more complex. Thus, dyadic approaches are limited in providing understanding of networks on a firm’s innovation performance. As such, we will take the perspective of a focal firm in a triad network. While still relatively simple, the triad network approach allows us to identify key relationships previously unexplored in network tie configuration, and to shed light on the equivocal results in the extant literature. Specifically, we will examine the position of the strong or weak ties among the firms, and also whether the strong or weak ties are adjacent or non-adjacent to the focal firm. Breakthrough innovation is defined as the basic invention, which leads to the evolution of many subsequent technological developments (Ahuja & Lambert, 2001). This definition suggests that novel and unique knowledge is required to create breakthrough innovation. Indeed, recent research shows that firms need novel knowledge created by network partners to create breakthrough innovation (e.g., Srivastava & Gnyawali, 2011). As such, we investigate how different levels of novel and diverse knowledge arising from the position of network ties impact a focal firm’s breakthrough innovation. Nevertheless, obtaining diverse and novel knowledge from networks does not guarantee the creation of successful breakthrough innovation. A firm needs a capability to learn, absorb and integrate the new knowledge into its works, which is its absorptive capacity. Thus, we examine the moderating role of a firm’s absorptive capacity on the relationship between the impact of the configurations arising from the position of strong/weak ties and a firm’s breakthrough innovation in a triad network relationship. Conceptual Framework We posit six different types of network configurations based on tie strength and position of strong/weak ties that are adjacent or non-adjacent to the focal firm in a triad (Figure 1). For example, Configuration 1 has three strong ties and Configuration 6 has three weak ties. Configuration 2 has two strong ties that are adjacent to a focal firm and one weak tie that is non-adjacent to a focal firm in a triad. Importantly, we use two theories (i.e., network theor and relational theory) to elaborate the impact of six configurations on a firm’s breakthrough innovation, considering the tie strength, the position of strong/weak ties, and whether the strong or weak ties are adjacent or non-adjacent to the focal firm. The first of these is network theory. Network theory and relational theory assert different effects of strong versus weak ties on a firm’s breakthrough innovation. To resolve the ambiguities in the literature on this issue, we combine network theory and relational theory and investigate the implication of the position of the strong or weak ties. We argue that the position of strong/weak ties must be considered to explain the impact of tie strength on firm breakthrough innovation in a triad context. For example, Configuration 2 has two strong ties adjacent to focal firm and one weak tie non-adjacent to focal firm (Figure 1). The non-adjacent weak tie provides potential for diverse and novel knowledge and reduced knowledge redundancy. Also, adjacent two strong ties provide the benefits of commitment and trust, and rich information flow. Additionally, these adjacent strong ties facilitate the transfer of novel knowledge generated from the non-adjacent weak tie. Thus, we argue that Configuration 2 has a potentially positive influence on firm breakthrough innovation. Configuration 5 has two adjacent weak ties and one non-adjacent strong tie. The non-adjacent strong tie has high knowledge redundancy and high trust and commitment between the two actors B and C (Figure 1). The non-adjacent strong tie between B and C induces potential opportunistic tendencies toward focal firm and inhibits information sharing with the focal firm. This indicates that the two firms form an alliance to the detriment of the focal firm. Further, adjacent weak ties provide novel and diverse information while maintaining less commitment and trust with the focal firm. Importantly, diverse information from adjacent weak ties is degraded because of the knowledge redundancy generated by non-adjacent strong tie between B and C. Thus, we argue that Configuration 5 has potentially negative influence on firm breakthrough innovation. The above discussion suggests that one cannot determine which type of network ties will tend create a firm’s breakthrough innovation simply by counting the numbers of weak and strong ties in the configurations. One must also consider the position of the strong and weak ties within the network and the focal firm’s absorptive capacity. For example, though there is a high level of knowledge redundancy created by the non-adjacent strong tie in Configuration 5, if the focal firm has strong ability to learn, the focal firm can still capture and use the limited new knowledge, depending on its absorptive capacity. Next, we explain how firm’s absorptive capacity influences the relationship between six configurations and breakthrough innovation. Methods We will collect a full sample of data from three main data sources: alliance data from the Securities Data Company (SDC) on Joint and Alliances, patent data from the National Bureau of Economic Research (NBER) U.S. Patent Citation 1997-2016, and financial data from COMPUSTAT. The initial sample will consist of all firms that announced a triad of strategic alliance firms across industries from 1997 to 2016 in the United States. Implications Our study makes two key contributions. First, we investigate the impact of various triad strong/weak tie network configurations on a firm’s breakthrough innovation. We test various effects accrued from the position of strong/weak ties that are adjacent or non-adjacent to a focal firm on the focal firm’s breakthrough innovation in the triad network. By examining these relationships, we uncover critical implications of the tie strength previously unexplored in the network literature. We provide conceptual advancement of Granovetter’s notion of the strength of weak ties, showing the importance of the position of strong or weak ties as a critical driver to influence a firm’s breakthrough innovation. Second, we investigate how a focal firm’s absorptive capacity moderates the impact of network configurations on a firm’s breakthrough innovation. This provides a more precise and fine-grained understanding of how a firm’s capability to absorb outside knowledge influences the relationship between network configurations and a focal firm’s breakthrough innovation. Combined, our two contributions help to resolve some of the equivocal results in the extant literature regarding the effects of strong or weak ties on breakthrough innovation.

THE EFFECT OF NETWORK TIE POSITION ON A FIRM’S INNOVATION PERFORMANCE

Hakil Moon,Anthony Di Benedetto,Sang Kyun Kim 글로벌지식마케팅경영학회 2020 Global Marketing Conference Vol.2020 No.11

SELECTING THE RIGHT PARTNERS FOR THE RIGHT REASONS: THE IMPORTANCE OF FIT IN INGREDIENT BRANDING STRATEGY IN LUXURY BRAND

Hakil Moon,David E. Sprott 글로벌지식마케팅경영학회 2015 Global Fashion Management Conference Vol.2015 No.06

In the advent a new market that didn’t exist a few years ago, the total sales in wearable devices could top $32.2 billion by 2019, up from $18.9 billion last year (Kharif 2015). The most anticipated new device is the Apple Smart Watch which has a function to detect pulse rate and send messages using voice commands (There is a gold version for $10,000). Further, Tag Heuer recently announces a partnership with Intel and Google to produce the world's first luxury Android Wear Smartwatch. Given that the high potential to do some research in this area (i.e., luxury brand alliances), little research examines luxury brand strategy and especially luxury ingredient branding (IB) strategy. This study explores the evaluations of and attitudes to the host luxury brand after IB alliances. An ingredient branding (IB), the incorporation of parent brand with another brand as ingredient (Desai and Keller 2002), allows two brands to have better market competitiveness (Simonin and Ruth 1998). The IB parent brand is the “host,” the main product, and the “ingredient,” a component that is integrated into the host. For example, Dell computer (the host) has a co-branding relationship with Intel as the ingredient (Intel, 2006). Both brands enjoy the benefits of the relationship that include mutual cooperation and knowledge sharing. The IB strategy has valuable benefits for both brands. For example, the host (i.e., Dell) may enjoy an enhanced market reputation, while the ingredient brand (i.e., Intel) may benefit by reducing the probability of entry by competitors. Further, Dell receives a preferential price from Intel, while Intel enjoys a stable and long-term customer. Current research on ingredient branding examines the determinants of IB success (Desai and Keller 2002) as well as the feedback effect on a parent brand subsequent to an IB alliances (Rodrigue and Biswas 2004). IB feedback effect involves changes in consumer attitudes toward the original parent brand resulting from the IB alliances. Extant research in this topic shows positive effects of IB strategy for the host (e.g., Balachander and Ghose 2003). However, some other research also shows that negative effects for the host caused by an IB alliances (e.g., Votolato and Unnava 2006). This equivocal findings suggest that there are some other conditions generating positive and negative effects of IB strategy for the host. Thus, the purpose of our study is to examine the conditions under which IB strategy influences negatively or positively to the host. We will focus uncovering this research gap on finding the conditions that influence positively or negatively to the host. Using ingredient brand strategy in luxury brand, we will examine how the fit of the host (Tag Heuer) and the ingredients (Google and Intel) influences the host’s brand attitude. We assume that the product fit (i.e., the host current product category: Tag Heuer watch vs the final product after IB alliances: Tag Heuer Android Wear Smartwatch) may positively influence the host’s brand attitude while the brand fit (i.e., luxury brand: Tag Heuer vs non-luxury brand: Google and Intel) may negatively influence the host’s brand attitude. Further, we will examine the role of Brand Engagement in Self-Concept (BESC) as a moderator in this relationship (Sprott, Czellar, and Spangenberg 2009).

이공계 강의평가 결과의 실증적 분석을 통한 강의평가제도 개선방안

김학일(Hakil Kim),김성숙(Sungsook Kim),권오양(Oh-Yang Kwon),이천(Cheon Lee),노경호(Kyung-Ho Row) 한국공학교육학회 2007 공학교육연구 Vol.10 No.4

An evaluation system of teaching is one of authentic assessment tools for improving the quality of higher education. The purpose of this study is to cultivate the class evaluation system in the college of engineering based on the empirical analysis of the results of the class evaluation. Especially, this study investigates the validity evidence using the confirmatory factor analysis of the class evaluation. The data used in this study were acquired from 49,127 student’s evaluation responses of 471 courses offered in colleges of natural science and engineering at a university in Korea. The reliabilities are quite good for every construct by producing an index value from 0.92 to 0.98. The results provides a guideline for an appropriate measurement model to report the information, to clarify quality and appropriateness of instrument items, to make recommendations for which items should be left or merged in the revised instrument. A special suggestion for improving student s evaluation of each course is to prepare a well-designed instruction for students explaining why and how to evaluate the course in order to produce reliable and valid results. 대학의 강의평가는 수업효과성에 대한 진단적 피드백을 제공하고 교수에 대한 의사결정에 도움을 주며 학생이 수강 시 활용할 수 있는 정보를 제공하는 등 광범위하게 사용되고 있다. 그러나 활용범위가 확대될 수록 강의평가도구의 타당성과 신뢰성이 제기되고 있으며, 강의평가 제도 자체에 대한 측정학적 연구가 요구되고 있다. 본 연구의 목적은 이공계 대학의 강의평가 결과에 대한 실증적 분석을 통하여 강의평가제도의 순기능을 극대화하기 위한 개선방안을 제안하는 것이다. 평가도구의 타당도와 신뢰도, 평가결과에 대한 문항반응 유형 등을 통계적으로 분석하기 위해 국내 대학교 이공계 개설강의 중 471개 과목의 385명 교수에 대한 총 49,127 명 학생의 강의평가 결과자료를 사용하였다. 분석 결과, 첫째, 강의평가의 유형별 차이를 줄이기 위하여 전공별 또는 수업유형별로 평가문항 군에서 문항을 선택하도록 개선할 것을 제안하고, 둘째, 평가결과점수 상하위 10% 해당하는 강의의 특성을 분석하여 결과활용의 방향을 제시하였다.

EXPLORING SUBSCRIBER ENGAGEMENT AND QUALITY IN OTT (OVER THE TOP) INDUSTRY

Huanzhang Wang,Hakil Moon,Honglei Liu,Kyung Hoon Kim 글로벌지식마케팅경영학회 2019 Global Fashion Management Conference Vol.2019 No.07

칼만필터 기반의 도로표지판 추적을 이용한 차량의 횡방향 위치인식

이재홍(Jaehong Lee),김학일(Hakil Kim) 한국자동차공학회 2014 한국 자동차공학회논문집 Vol.22 No.3

CT-based MR Image Approximation using Cycle-Consistent Adversarial Networks

Cheng-Bin Jin(김성빈),Hakil Kim(김학일),Seongsu Joo(주성수),Eunsik Park(박은식),Young Saem Ahn(안영샘),In Ho Han(한인호),Jae Il Lee(이재일),Xuenan Cui(최학남) 대한전기학회 2019 대한전기학회 학술대회 논문집 Vol.2019 No.2

Computed tomography (CT) is widely used in various clinical applications. Magnetic resonance imaging (MRI) provides more anatomical details than CT for diagnostic purposes. However, the price of an MRI puts a heavy burden on low-income patients. This leads patients to undergo low-cost CT scans instead of MRIs, and this causes them to miss the opportunity for early diagnosis. To generate additional information and to increase the diagnostic value of CT, this paper proposes a method to approximate an MR image using a CT scan with the adversarial cycle-consistent networks. A novel objective function is introduced, consisting of adversarial loss, cycle-consistent loss, voxel-wise loss, gradient difference loss, and perceptual loss. Experimental results show that the proposed method significantly outperforms all baseline methods in all measurements, achieving the lowest mean absolute error and root mean square error and the highest peak-signal-to-noise-ratio, structural similarity, and Pearson correlation coefficient. This study can help the low-income patients, who cannot undergo MRI in clinical diagnosis, and patients in the developing countries where CT is the only diagnostic device.

테일러시리즈를 이용한 이기종 지문 센서 호환 템플릿 보정 알고리즘 개발

장지현(Jihyeon Jang),김학일(Hakil Kim) 한국정보보호학회 2008 정보보호학회논문지 Vol.18 No.4

이기종 지문센서 상호호환은 다른 센서 사용에 따른 각각의 지문 데이터의 변이성을 보상하기 위한 시스템의 능력을 말한다. 본 연구는 다양한 이기종 지문입력 센서의 호환을 위한 지문 특징점 보정 알고리즘 개발을 목적으로 한다. 제안한 보정 알고리즘은 테일러시리즈(Taylor Series) 전개식을 이용하여 서로 다른 센서로부터 획득된 이미지 간의 대응되는 특징점 사이의 변환식을 구하고, 이를 적용하여 이기종 센서간의 오차를 줄이는 방법이다. 도출한 테일러시리즈 변환 파라미터로 지문 특징점 템플릿을 변환하여 보정 전과 후의 결과를 실험하였다. 제안한 보정 알고리즘을 이용한 결과 보정 전보다 보정 후의 EER 에러가 전체적으로 60%이상 개선됨을 확인할 수 있다. Fingerprint sensor interoperability refers to the ability of a system to compensate for the variability introduced in the finger data of individual due to the deployment of different sensors. The purpose of this paper is the development of a compensation algorithm by which the interoperability of fingerprint recognition can be improved among various different fingerprint sensors. In this paper we show that a simple transformation derived to form a Taylor series expansion can be used in conjunction with a set of corresponding minutia points to improve the correspondence of finer fingerprint details within a fingerprint image. This is demonstrated by an applying the transformation to a database of fingerprint images and examining the minutiae match scores with and without the transformation. The EER of the proposed method was improved by average 60.94% better than before compensation.

국제 표준 지문 데이터포맷에 대한 표준 적합성 시험 도구의 설계 및 개발

장지현(Jihyeon Jang),김학일(Hakil kim) 한국정보보호학회 2007 情報保護學會誌 Vol.17 No.5

이기종 지문입력기간의 호환 성능은 인터페이스 표준을 준용하면서 데이터 표준을 준용한다는 전제하에 알고리즘의 호환성이 이루어졌을 때 다른 시스템과의 충분한 호환성을 달성할 수 있다. 따라서 호환 가능한 시스템이 만들어졌을 때 이를 평가하여 시스템 간 호환성 정보를 평가 할 수 있어야 한다. 본 논문은 ISO/IEC JCT1/SC37의 지문 데이터 포맷기반의 데이터 포맷 표준 적합성 시험 도구 설계 및 구현을 목적으로 한다. 지문 데이터포맷 적합성 시험도구는 지문 데이터 표준에 요구된 사항들이 정의된 것처럼 제대로 구현되었는지의 여부를 평가하는 것이다. 개발한 시험도구는 다양한 지문센서에 기반한 국내 제품을 이용하여 데이터 포맷 적합성 평가를 하였으며, 이에 따라 각 제품의 데이터 포맷이 표준에 적합하게 개발되었는지를 판단할 수 있었다. 본 연구는 전 세계적으로 활발히 전개 중인 바이오인식 관련 국제 표준을 국내 지문인식기기에 적용 및 확산시키는데 그 의의가 있겠다.