• KSII Transactions on Internet and Information Systems (TIIS)
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• v.18 no.6
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• pp.1518-1539
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• 2024

Artificial intelligence-enabled business models aim to improve decision-making, operational efficiency, innovation, and productivity. The presented systematic literature review is conducted to highlight elucidating the utilization of artificial intelligence (AI) methods and techniques within AI-enabled businesses, the significance and functions of AI-enabled organizational models and frameworks, and the design parameters employed in academic research studies within the AI-enabled business domain. We reviewed 39 empirical studies that were published between 2010 and 2023. The studies that were chosen are classified based on the artificial intelligence business technique, empirical research design, and SLR search protocol criteria. According to the findings, machine learning and artificial intelligence were reported as popular methods used for business process modelling in 19% of the studies. Healthcare was the most experimented business domain used for empirical evaluation in 28% of the primary research. The most common reason for using artificial intelligence in businesses was to improve business intelligence. 51% of main studies claimed to have been carried out as experiments. 53% of the research followed experimental guidelines and were repeatable. For the design of business process modelling, eighteen AI mythology were discovered, as well as seven types of AI modelling goals and principles for organisations. For AI-enabled business models, safety, security, and privacy are key concerns in society. The growth of AI is influencing novel forms of business.

• Proceedings of the Korea Information Processing Society Conference
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• 2024.05a
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• pp.768-771
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• 2024

인간의 산업 활동으로 인하여 동물들의 생존이 위협받으면서, 동물의 서식 분포를 효과적으로 파악할 수 있는 자동 야생동물 모니터링 기술의 필요성이 점점 더 커지고 있다. 그중에서도 동물 소리 분류 기술은 시각적으로 식별이 어려운 동물에게도 효과적으로 적용할 수 있는 장점으로 인하여 널리 사용되고 있다. 최근 심층학습 기반의 분류 모델들이 좋은 판별 성능을 보여주고 있어 동물 소리 분류에 많이 사용되고 있지만, 희귀종과 같이 개체 수가 적어 데이터가 부족한 경우에는 학습이 제대로 이루어지지 않을 수 있다. 또한, 이러한 모델들은 모델 내부에서 일어나는 추론 과정을 알 수 없어 결과를 완전히 신뢰하고 사용하는 데 제약이 따른다. 이에 본 논문에서는 전이 학습을 통해 데이터 부족 문제를 고려하고, SHAP을 이용하여 분류 모델의 추론 과정을 해석하는 설명가능한 동물 소리 분류 기법을 제안한다. 실험 결과, 제안하는 기법은 지도 학습을 한 경우보다 분류 성능이 향상됨을 확인하였으며, SHAP 분석을 통해 모델의 분류 근거를 이해할 수 있었다.

• Journal of Magnetics
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• v.11 no.1
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• pp.51-54
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• 2006

Variation of magnetic properties through Cr substitution for Co in inverse-spinel $CoFe_2O_4$ has been investigated by vibrating-sample magnetometry (VSM) and conversion electron $M\ddot{o}ssbauer$ spectroscopy (CEMS). $Cr_{x}Co_{1-x}Fe_2O_4$ samples were prepared as thin films by a sol-gel method. The lattice constant of the $Cr_{x}Co_{1-x}Fe_2O_4$ samples was found to remain unchanged, explainable in terms of a reduction of tetrahedral $Fe^{3+}$ ion to $Fe^{2+}$ due to substitution of $Cr^{3+}$ ion into octahedral $Co^{2+}$ site. The existence of the tetrahedral $Fe^{2+}$ ions in $Cr_{x}Co_{1-x}Fe_2O_4$ was confirmed by CEMS analysis. Room-temperature magnetic hysteresis curves for the $Cr_{x}Co_{1-x}Fe_2O_4$ films measured by VSM revealed that the saturation magnetization $M_s$ increases by Cr doping. The $M_s$ is maximized when x = 0.1 and decreases for higher x but is still bigger than that of $CoFe_2O_4$. The increase of $M_s$ can be explained partly by the reduction of the tetrahedral $Fe^{3+}$ ion to $Fe^{2+}$.

• Korean Journal of Veterinary Research
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• v.37 no.2
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• pp.291-299
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• 1997

In order to establish optimal dosage schedules and withdrawal times for sulfamethazine(SMZ) in pigs, pharmacokinetic and tissue distribution experiments were conducted in pigs. For comparative purposes, tissue depletion kinetics are also studied in rats. From three pigs administered with SMZ i.v., the pharmacokinetic profile of SMZ in two pigs was adequately described by a one-compartment open model whereas that in one pig was patterned after a two-compartment open model. Volume of distribution(Vd) was 0.48~0.57 L/kg and biological half-life($t_{1/2}$) was 11.8-16.8 h. From three pigs dosed with SMZ p.o., pharmacokinetic profile was explainable with a one-compartment open model. Time to reach maximum SMZ concentration in serum (Tmax) was 2.8 h, 3.2 h and 7.5 h. Elimination half-life was 2.8-7.5 h. The descending order in concentration of SMZ was plsama > kidney > liver > lung > heart > pancreas > spleen > duodenum > ileum > brain > adipsoe tissue from three pigs sacrificed at 5h, 29h and 54h after the administration of SMZ, p.o.. The protein binding of SMZ in pigs was 55.2%($2.5{\mu}g/ml$), 71.5% ($5{\mu}g/kg$) and 71.5%($10{\mu}g/ml$). The mean systemic bioavailability (F) of SMZ p.o. was 49.1 %. Meanwhile the pharmacokinetic profile of SMZ in rats was adequately described by a one-compartment open model. Absorption of SMZ p.o. in the rat was very rapid. In conclusion, the oral optimal dosage regimen of SMZ for pigs was the initial dose of 45.7 mg/kg followed by the maintenance dose of 30.2 mg/kg for high specific pathogens to SMZ. The time to reach below the stipulated residual allowable concentration (0.1 ppm) was calculated 93 h after oral administration of 200 mg/kg recommended by manufactureres.

• Health Policy and Management
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• v.21 no.3
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• pp.381-396
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• 2011

This study is to investigate the factors affecting the regional rate of certification for long-term care insurance benefits. Analyzed data were the 253,935 certified beneficiaries (equivalent to 4.9% of total elderly population) as long-term care degree (LTC degree) 1~3 extracted from the applicants for long-term care in the beginning stage of the system from April 15 2008 to July 1 2009. Although the data were collected from individuals, after restructured into regional data and then analysed in the unit of 225 administrative regions for the Korean Long-term Care Insurance. The rate of certification was operated as the percentage of people of LTC degree 1~3 to the elderly population in each region. The average rate of certification among regions was 4.91%, and ranged from 2.20% to 8.32%. In the analysing regression models, most socio-demographic variables, applicants' disease characteristics, regional service infrastructure, and the certification interviewer's characteristics were included. The most influencing variables were the disease factors of applicants, especially dementia or cerebrovascular disease rather than arthritis, osteoporosis, or fracture patients were strong factors for the regional rate of certification. However, advanced studies adding more explainable factors on the regional variance of certification rate would be necessary to provide political agenda and measures for evidence-based certification process with high reliability and validity for a sustainable LTC system in Korea.

• Journal of Korean Academy of Nursing Administration
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• v.9 no.4
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• pp.571-583
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• 2003

Purpose: This study was aimed by presenting basic data of nurses' manpower management on studying about estimative variables and provability assumption whether it is desire or no on the transfer of nurses' duty post. Method: The study was designed retrospective survey and the subjects of this study consisted of 508 nurses who have engages in the K-university hospital. Data were analyzed by SPSS windows for 11.0, by logistic regression. Result: The status on clinical specific variables were verified on estimative variable about whether it is desire or no on the transfer of nurses' post of duty that staff nurses was 3.95 times when set the standard over the charge nurses, and unsatisfied nurses than satisfied nurses on the place of duty at present was 1.4 times. On the low domains of duty's satisfied degree was verified on predictive variable about whether it is desire or no on the transfer of nurses' post of duty that nurses of low feeling of satisfaction about personal relationship was 1.19 times, unsatisfied nurses about hospital management was 2.01 times verified on desiring transfer to other places. Conclusion: The suitability of estimative model whether it is desire or no on the transfer of nurses' post of duty explainable by the variable of the status, the feeling of satisfaction on post of duty, the personal relationship the hospital management and estimative probability was 80.9%.

• Korean Journal of Adult Nursing
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• v.14 no.1
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• pp.73-82
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• 2002

The purpose of this study was to test the fitness and explainable power of TPB-SE model to the behavior of breast self examination and it was to examine effectiveness of education for Intention and behavior of breast self examination. The subjects were 122 womens under baby sitting teachers' training programs at "S"college on Po Hang city, Kyung Pook province from May 10, 1998 through October 17, 1998. Among 122 subjects, 61 were placed in experimental group and 61 in control group. The experimental group was treated by researcher who administered booklet, slide and breast model. Collected data were analyzed through $X^2$-test, t-test, MANOVA, ANCOVA, Pearson correlation coefficient via SPSS/PC and applied LISREL 8.0 programs to test TPB-SE model. The result of this study was summarized as follows: 1. TPB-SE model with additions of self efficacy from TPB fits well for predictive factors of behavior of breast self examination and it also fits well for data (GFI=.91, $R^2$=.45). 2. Behavior score of breast self examination in the experimental group with already educated with breast self examination was significantly higher than that of control group (Wilks's value=.711, p=000). Through the results of this study, TPB-SE model with additions of self efficacy from TPB fits well for predictive factors of behavior of breast self examination and the education of breast self examination was effective to improving intention and behavior of breast self examination. I herewith reached final conclusions that the behavior of breast self examination should be regarded as one of health behavior for all women and the health education to women for breast self examination will be important job role for all nurses. In addition to above, the intervention through effective education designed for improving attitude, subjective norm, perceived control, self efficacy and intentions will be necessary step for any improvement of women' health behavior.

• Journal of the Korean Institute of Intelligent Systems
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• v.24 no.4
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• pp.443-449
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• 2014

Preferences of users on movies are observables of various factors that are related with user attributes and movie features. For movie recommendation, analysis methods for relation among users, movies, and preference patterns are mandatory. As a relational analysis tool, we focus on the Infinite Relational Model (IRM) which was introduced as a tool for multiple concept search. We show that IRM-based co-clustering on preference patterns and movie descriptors can be used as the first tool for movie recommender methods, especially content-based filtering approaches. By introducing a set of well-defined tag sets for movies and doing three-way co-clustering on a movie-rating matrix and a movie-tag matrix, we discovered various explainable relations among users and movies. We suggest various usages of IRM-based co-clustering, espcially, for incremental and dynamic recommender systems.

• Journal of Chest Surgery
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• v.26 no.9
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• pp.667-676
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• 1993

Boprosthetic cardiac valves fail from biological and metabolic as well as mechanical reasons, and the limited durability is the main factor of marked withdrawal in their clinical use. Starting the use of bioprosthetic valves in 1976, up to the end of 1992, the consecutive 178 patients have undergone re-replacement of glutaraldehyde-treated xenograft valves for primary tissue failure [PTF]among the patients who had initial valve replacement at Seoul national University Hospital. The explanted valves were 69 porcine aortic [51 Hancock, 12 Angell-Shiley and 6 Carentier-Edwards] and 141 bovine pericardial [129 standard-profile and 12 low-profile ionescu-Shiley] valwes, with an overall incidence of PTF of 15.2%. The operative mortality rate of re-replacement was 5.1%. Calcific degeneration and tissue damage in relation to calcification were the most frequent modes of PTF on gross examinatin of the explanted valves resulting hemodynamically in valvular regurgitation. The number of Hancocg porcine and the standard-profile Ionescu-Shiley valves in valves in mitral position failed more often from tissue damage [tears, holes, and loss or destruction of cuspal tissue] than calcification [68.3% vs. 39.0%, p<0.01] with resultant regurgitation in 61%, the Ionescu-Shiley valves in the same position in 53%. The tendency of more calcification than tissue damage[71.3% vs. 33.3%, p<0.001]with stenosis in 53%. The tendency of more calcification and immobility of cusps in the latter group was partly explainable by the inclusion of patients of pediatric age. Observation made in this study suggest : many of bioprosthetic valves would fail from calcification and tissue damage : some fail prematurely because of mechanical stress probably owing to the valve design in construction ; andeven those valves escaped early damage would be subject to calcify in the prolonged follow-up period. In conclusion, at the present time, the clinical use of bioprostheticxenograft valves seems to be quite limited until further improvement in biocompatibility and refinement in valve design in manufacture are achieved.

• Korean Journal of Soil Science and Fertilizer
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• v.34 no.3
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• pp.173-177
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• 2001

This study was conducted to investigate a potential utilitization of multivariate statistical analysis(Factor analysis, Discrimination analysis) on interpretation of rice plant lodging reason. Rice plants were sampled in paddy around Taegu city at from 25 to 29 of September in 2000. Mineral nutrient content(phosphate, potassium) of rice plant were significantly higher at 99% level, Silicate content were lower at 95% level in lodged samples than in normal. Plant characteristics associate with lodging(Culm length, second and third internode length, bight of center gravity) were significantly longer in lodged rice plant than in non lodged. Result of Factor analysis were that first principle component were culm length, second(N2) and third internode length(N3), second principle component were Ca content, first internode length(N1) and N3/culm length, third principle component were center gravity length(G) and G/culm length, fourth were nitrogen, phosphate, and potassium content, fifth were N2/culm length, N2+N3/culm length, Sixth was silicate content of rice plant. Linear discriminant equation distinguished lodged rice plants with non lodged rice plants very well. Prediction value was 100%, most explainable variable were phosphate content, culm length and third length.