• International Journal of Computer Science & Network Security
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• 제22권9호
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• pp.271-279
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• 2022

In the discipline of design science, the integration of cognitive, semantic, and affective elements is crucial in the conception and development of a product. Affective components in IT artefacts have attracted researchers' attention, but little attention has been given to Geographic Information Systems (GIS). This research was conducted to identify emotions in web-based GIS, and determine design influences on the emotions using Kansei engineering (KE). In the evaluation procedure, ten web-based GIS were used as specimens, and 20 Kansei words were used as emotional descriptors in the Kansei checklist. 50 participants were asked to rate their emotional responses towards the specimens on the Kansei checklist. Principal Component Analysis was used to discover the semantic structure of Kansei, in which dynamism and spaciousness were identified. Significant Kansei concepts were identified using Factor Analysis, in which dynamic & well-organized, refreshing, spacious, professional, and nautical-look were identified. Partial Least Square analysis has assisted the research in discovering the significant design influence to the Kansei. These findings provide designers and other stakeholders with valuable knowledge for strategizing future web-based GIS designs that incorporate user emotions.

• 통상정보연구
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• 제15권3호
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• pp.3-24
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• 2013

본 연구는 창업 직후 빠른 시간 안에 외국시장에 진출하는 국제신벤처기업에서 기업가지향성, 동적역량 그리고 수출성과의 관계를 살펴보았다. 또한, 외부환경 요인으로 국내시장 적대성과 산업 역동성의 조절효과도 분석하였다. 국제신벤처기업은 자원의 제약에도 적극적으로 외국시장 진출을 시도하는 기업을 말한다. 국제신벤처기업의 외국시장 진출에 영향을 주는 요인으로는 기업가지향성과 보유자원의 특성 등이 있다. 기존 연구는 국제신벤처기업 현상이 중소벤처기업의 새로운 성장동력이 될 것이라고 말하며, 해당 기업의 수출활동 성과 요인 등을 분석하였다. 최근에는 동적역량 측면에서 국제신벤처기업의 경쟁력을 설명하려는 연구들도 있다. 이러한 연구들은 동적역량이 자원이 부족한 국제신벤처기업의 수출활동을 포함한 외국시장 진출에 도움을 주는 것으로 지적한다. 본 연구는 기존 연구를 바탕으로 이러한 요인들 간의 관계를 실증분석 하였다. 기업가지향성은 기업가의 위험감수 성향, 혁신 성향, 적극적 성향으로 그리고 동적역량은 기존 자원의 통합과 재배치 역량으로 살펴보았다. 수출성과는 기존 연구에 따라 주관적 접근과 객관적 접근을 병행하여 측정하였다. 외부환경 요인은 두 가지로 나누어 설정하였는데 시장 불안정성과 산업의 역동성이다. 실증분석은 국제신벤처기업의 정의에 따른 국내 101개 기업을 대상으로 하였다. 분석 방법은 구조방정식 모형인 PLS(Partial Least Square)를 이용하였고 외부환경 요인의 조절효과를 포함해 총 6개의 가설을 설정하였다. 실증분석 결과 기업가지향성은 동적역량에 긍정적 영향을 주는 것으로 나타났다. 그리고 동적역량 또한 수출성에 긍정적 영향을 미치는 것을 확인하였다. 조절효과 분석에서는 기업가지향성과 동적역량 사이에 두 외부환경 요인이 모두 유의한 조절효과를 보여주었다. 그러나 동적역량과 수출성과 사이에서는 외부환경 요인의 조절효과를 확인할 수 없었다. 이는 우리나라 국제신벤처기업의 수출성과를 높이는데 동적역량이 외부환경으로부터 받는 영향이 크지 않음을 의미한다. 이러한 분석은 국제신벤처기업의 동적역량과 외부환경 요인의 관계를 분석한 점에서 이론적 시사점을 가진다. 그리고 국제신벤처기업의 경영자들은 외부환경 변화에 대응하는 동적역량이 단기적으로 성과에 영향을 주지 못한다고 해서 이의 중요성을 간과해서는 안 된다. 동적역량은 결국 신생기업의 전체적인 조직 역량을 강화하는데 도움을 주기 때문이다.

• Journal of Biosystems Engineering
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• 제27권2호
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• pp.117-124
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• 2002

This research was conducted to develop a method to remove the effect of surface temperature of Shingo pears for sugar content measurement. Sugar content was measured by a near-infrared spectrum analysis technique. Reflected spectrum and sugar content of a pear were used for developing regression models. For the model development, reflected spectrums having wavelengths in the range of 654 to 1,052nm were used. To remove the effect of surface temperature, special sample preparation techniques and partial least square (PLS) regression models were proposed and tested. 71 Shingo pears stored in a cold storage, which had 2$^{\circ}C$ inside temperature, were taken out and left in a room temperature for a while. Temperature and reflected spectrum of each pear was measured. To increase the temperature distribution of samples, temperature and reflected spectrum of each pear was measured four times with one hour twenty minutes interval. During the experiment, temperature of pears increased up to 17 $^{\circ}C$. The total number of measured spectrum was 284. Three groups of spectrum data were formed according to temperature distribution. First group had surface temperature of 14$^{\circ}C$ and total number of 51. Second group consisted of the first and the fourth experiment data which contained the minimum and the maximum temperatures. Third group consisted of 155 data with normal temperature-distribution. The rest data set were used for model evaluation. Results shelved that PLS model I, which was developed by using the first data group, was inadequate for measuring sugar content of pears which had different surface temperatures from 14$^{\circ}C$. After temperature compensation, sugar content predictions became close to the measured values. Since using many data which had wide range of surface temperatures, PLS model II and III were able to predict sugar content of pears without additional temperature compensation. PLS model IV, which included the surface temperatures as an independent variable. showed slightly improved performance(R$^2$=0.73). Performance of the model could be enhanced by using samples with more wide range of temperatures and sugar contents.

• 사회복지연구
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• 제42권4호
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• pp.217-238
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• 2011

본 연구는 가정폭력가해자 프로그램 이수 후 가해자들의 재폭력에 피해 여성의 능동적 대처방식의 효과를 검증하기 위해 실시되었다. 본 연구의 자료는 2008년에서 2009년에 걸쳐 가정폭력 행위자 치료 프로그램 장기 효과 연구에서 수집되었다. 프로그램 이수 후 피해 여성을 3차에 걸쳐 추적 조사하였으며 본 연구에서는 1, 2차 시점의 데이터를 사용하였다. 표본의 수적 한계와 연구의 특성을 고려하여 PLS(Partial Least Square) 분석 방법을 사용하였다. 분석 결과 정서적 폭력의 경우 1차와 2차 각각 발생률이 77.6%, 41.3%로 나타났으며 신체 폭력의 경우 시점 각각 43.1%, 18.4%의 발생률을 보였다. 모형 분석 결과 남편의 정서적 재폭력에 대해서는 여성의 문제해결의 능동적 대처방식이 조절효과를 나타내었으며(p<.001), 신체 재폭력에 있어서는 문제해결이 아닌 도움요청이 조절효과를 보이는 것으로 나타났다(p<.01). 분석 결과를 바탕으로 가정폭력 재폭력에 대응하기 위한 실천적 함의를 도출하였다.

• Natural Product Sciences
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• 제24권3호
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• pp.164-170
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• 2018

Rapid geographical classification of Bupleuri Radix is important in quality control. In this study, near infrared spectroscopy (NIRS) combined with supervised pattern recognition was attempted to classify Bupleuri Radix according to geographical origins. Three supervised pattern recognitions methods, partial least square discriminant analysis (PLS-DA), quadratic discriminant analysis (QDA) and radial basis function support vector machine (RBF-SVM), were performed to establish the classification models. The QDA and RBF-SVM models were performed based on principal component analysis (PCA). The number of principal components (PCs) was optimized by cross-validation in the model. The results showed that the performance of the QDA model is the optimum among the three models. The optimized QDA model was obtained when 7 PCs were used; the classification rates of the QDA model in the training and test sets are 97.8% and 95.2% respectively. The overall results showed that NIRS combined with supervised pattern recognition could be applied to classify Bupleuri Radix according to geographical origin.

• 한국작물학회지
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• 제43권2호
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• pp.101-104
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• 1998

This study was conducted to establish a rapid analysis method for determining protein and moisture contents of pea. Ninety and eighty pea (Pisum sativum L.) lines were analyzed to determine protein and moisture contents, respectively using near-infrared reflectance spectroscopy. Simple correlations (${\gamma}$) of protein content in a ground sample and an intact grain sample by an automatic regression method were 0.978 and 0.910, respectively. Simple correlations by partial least square regression/principal component analysis (PLS/PCA) methods were 0.982 and 0.925, respectively. Standard error of performance (SEP) in protein content was the lowest value, 0.446 in ground sample by PLS/PCA methods. Simple correlation of moisture content was the highest at 0.871 in ground samples. when using a standard regression method. Accuracy for the moisture content was slightly lower than for protein content. It was concluded that the NIRS method would be applicable only for rapid determination of protein content in pea.

• 한국IT서비스학회지
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• 제13권3호
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• pp.25-50
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• 2014

The purpose of this study is to examine factors affecting the diffusion and the intention to use, and how these factors differ among adopter categories. A survey was done to analyze the diffusion of smart-phone, the most popular and innovative product nowdays. We collected 197 survey questionnaires from smart-phone user and analyzed the data using SPSS 18.0 and Smart PLS 2.0. PLS (Partial Least Square) analysis was implemented before multiple group-innovator, early adopter, eraly majority- analysis which is categoriezed by Innovation Diffusion Model of Rogers (1995). The results show that firstly, in innovator group (n=63), the functional and the safety value have significantly positive effect on user satisfaction. In addition, we found that user satisfaction and the brand loyalty are significatly associated with the intention of use. Secondly, in early adopter group (n = 67), the design value has significantly positive effect on user satisfaction and it has significantly positive effect on brand loyalty. Finally, in early majority group (n = 67), the design value has significantly positive effect on the user satisfaction and it has stronger effect on the intention of use and brand loyalty. We conclude this paper with the implication of this study to both academia, business practice, and policy making.

• Bulletin of the Korean Chemical Society
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• 제34권5호
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• pp.1467-1472
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• 2013

Metabolomics is a field that studies systematic dynamics and secretion of metabolites from cells to understand biological pathways based on metabolite changes. The metabolic profiling of intact human colorectal tissues was performed using high-resolution magic angle spinning (HR-MAS) NMR spectroscopy, which was unnecessary to extract metabolites from tissues. We used two different groups of samples, which were defined as normal and cancer, from 9 patients with colorectal cancer and investigated the samples in NMR experiments with a water suppression pulse sequence. We applied target profiling and multivariative statistical analysis to the analyzed 1D NMR spectra to identify the metabolites and discriminate between normal and cancer tissues. Cancer tissue showed higher levels of arginine, betaine, glutamate, lysine, taurine and lower levels of glutamine, hypoxanthine, isoleucine, lactate, methionine, pyruvate, tyrosine relative to normal tissue. In the OPLS-DA (orthogonal partial least square discriminant analysis), the score plot showed good separation between the normal and cancer groups. These results suggest that metabolic profiling of colorectal cancer could provide new biomarkers.

• The Journal of Asian Finance, Economics and Business
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• 제8권5호
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• pp.897-911
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• 2021

This study aims to analyze the important role of business analytics capability, information quality, and innovation capability in influencing organization agility and organization performance during the Covid-19 pandemic. Data was collected from 76 companies from various sectors in Indonesia. Structural Equation Model-Partial Least Square (SEM-PLS) analysis was conducted to analyze the relationship between variables and test a series of hypotheses. Importance-Performance Matrix Analysis (IPMA), a useful analysis approach in PLS-SEM, is used, which extends the results of the estimated path coefficient (importance) by adding a dimension that considers the average values of the latent variable scores (performance). The IPMA approach examines not only the performance of an item but also the importance of that item. The results show that business analytics capability has a significant effect on information quality and innovation capability which then affects organization agility. Organizational performance is influenced by organizational agility. IPMA results show that organizational agility has the highest level of impact on organizational performance. This study will assist companies in planning business analytics, improving information quality, increasing innovation capability, and ultimately increasing agility and performance during the Covid-19 pandemic. This study will add to existing knowledge about previous literature, especially in the Covid-19 pandemic situation.

• 유통과학연구
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• 제20권4호
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• pp.1-7
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• 2022

Economic progress has changed views of people in interpreting welfare and this affects the level of household consumption expenditure. An analysis of this issue is important to do so that the community may encourage the utilization and distribution of community welfare to be wiser and balanced in order to achieve the properness and appropriateness of welfare programs management with the development goals. Purpose: This study aims to analyze the impact of personal income, experience on lifestyle, and its distribution to household consumption of Makassar City Industrial workers. Research Design, Data, and Methodology: Data collection in this study was carried out by distributing questionnaires to 100 respondents in Makassar City, South Sulawesi. Partial Least Square (PLS) analysis was used as data analysis. Result: This study indicated income has a positive and significant effect on lifestyle, while experience has no significant effect on lifestyle, and family member has a positive and significant effect on lifestyle. This study also indicated that lifestyle has a significant effect on Household Consumption. Conclusion: Consumption patterns are influenced by many factors, so people need to be wise in regulating consumption patterns and managing the distribution of their economic resources in order to achieve balance of economic in family.