• Journal of the Korean Data and Information Science Society
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• v.16 no.2
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• pp.429-444
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• 2005

The identification of unusual observations such as outliers and high leverage points has drawn a great deal of attention for many years. Most of these identifications techniques are based on case deletion that focuses more on the outliers than the high leverage points. But residuals together with leverage values may cause masking and swamping for which a good number of unusual observations remain undetected in the presence of multiple outliers and multiple high leverage points. In this paper we propose a new procedure to identify outliers and high leverage points simultaneously. We suggest an additive form of the residuals and the leverages that gives almost an equal focus on outliers and leverages. We analyzed several well-referred data set and discover few outliers and high leverage points that were undetected by the existing diagnostic techniques.

• Journal of the Korean Electrochemical Society
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• v.7 no.2
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• pp.80-82
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• 2004

The a.c. technique is employed to evaluate electrochemical characteristics of Naphthalie-1,4,5,8-tetracarboxylic acid bisanilide (NTB). The measurements were carried out in dry and pure propionitrle (PCN) and acetonitrile(CAN) at the hanging mercury drop electrode [HMDE). An A.C. phase sensitive detector using computer controlled lock-in amplifier was employed. Primary goal of this report, was to establish on a firm the rare behavior of the phase angle associated with a.c. polarograms of the compound. Although, not an initial goal of this study, the electron transfer rate parameters attending the electroreduction of the compound under investigation were determined. This because the results shed some light on the electrokinetics in aprotic solvent which until recently negligible data were available. Experimental Results and comparison of data obtained are reported. The good precision of the method makes it suitable for studying electrochemical data with unusual behavior at electrodes in non aqueous media.

• Asia-Pacific Journal of Business
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• v.14 no.4
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• pp.175-189
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• 2023

Purpose - The purpose of this study was to examine the relationship between CEO name uncommonness and R&D intensity while focusing on CEO ownership and CEO tenure as moderators of the relationship. Design/methodology/approach - This study collected data from various American databases such as national data on given names from Social Security Administration, COMPUSTAT, and Execucomp. The sample of this study includes 2,494 (firm-year) observations from U.S. firms between 2005-2011. This study conducts Feasible Generalized Least Square (FGLS) regression analysis to test the hypotheses. Findings - First, we found CEO name uncommonness was positively related to R&D intensity. In other words, CEOs with unusual names prefer being distinctive by increasing R&D investments. Second, we examine the moderating roles of CEO characteristics (i.e., CEO ownership and tenure). The results show that CEO tenure strengthens the positive relationship between CEO name uncommonness and R&D intensity. Research implications or Originality - First, this study extends the CEO characteristics and R&D literature by investigating how CEO name uncommonness affects R&D intensity. In addition, our study also supports the intitutionalization of CEO power arguments by showing that CEOs with unusual names are more likely to pursue distinctive strategies when they have longer tenure. For practical implications, our results allow the investors to better predict corporate future R&D expenses. It suggests that ceteris paribus, CEOs with unusual names, vis-a-vis CEOs with common names, are more likely to increase R&D expenses.

• Journal of Korean Institute of Industrial Engineers
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• v.41 no.1
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• pp.43-49
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• 2015

The aim of this study was to model unusual association with declarative knowledge by positive affect using ACT-R cognitive architecture. Existing research related with cognitive modeling tends to pay a lot of attention to strong and negative cognitive moderator. Mild positive affect, however, has far-reaching effects on problem solving and decision making. Typically, subjects with positive affect were more likely to respond to unusual associates in a word association task than subjects with neutral affect. In this study, a cognitive model using ACT-R cognitive architecture was developed to show the effect of positive affect on the cognitive organization related with memory. First, we organized the memory structure of stimulus word 'palm' based on published results in a word association task. Then, we decreased an ACT-R parameter that reflects the amount of weighting given to the dissimilarity between the stimulus word and the associate word to represent reorganized memory structure of the model by positive affect. As a result, no significant associate probability difference between model prediction and existing empirical data was found. The ACT-R cognitive architecture could be used to model the effect of positive affect on the unusual association by decreasing (manipulating) the weight of the dissimilarity. This study is useful in conducting model-based evaluation of the effects of positive affect in complex tasks involving memory, such as creative problem solving.

• Journal of the Korea Society of Computer and Information
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• v.24 no.5
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• pp.59-66
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• 2019

According to the KT telecommunication statistics, people stayed inside their houses on an average of 11.9 hours a day. As well as, according to NSC statistics in the united states, people regardless of age are injured for a variety of reasons in their houses. For purposes of this research, we have investigated an abnormal event detection algorithm to classify infrequently occurring behaviors as accidents, health emergencies, etc. in their daily lives. We propose a fusion method that combines three classification algorithms with vision pattern, audio pattern, and activity pattern to detect unusual user events. The vision pattern algorithm identifies people and objects based on video data collected through home CCTV. The audio and activity pattern algorithms classify user audio and activity behaviors using the data collected from built-in sensors on their smartphones in their houses. We evaluated the proposed individual pattern algorithm and fusion method based on multiple scenarios.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.11
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• pp.2609-2614
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• 2015

National research and development projects institutions have implemented various measures in order to prevent R&D expenses abuse and negate enforcement. but it reveals a limit to prevent abuse of R&D expenses[1,2]. In this paper, to prevent abuses resulting from the R & D for the unusual trading post caught collecting information from the R & D phase implementation plan to detect unusual transactions. The results are subjective and research institutions, and specialized agencies to take advantage of shared, real-time cross-linkage between the credit card companies. Studies of data quality diagnostic techniques developed for this purpose related regulations and manuals, Q & A, FAQ, Outside-in business rules that derive from a variety of information, such as personnel interviews (Outside-In) was used for analysis.

• Asia pacific journal of information systems
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• v.4 no.1
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• pp.115-138
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• 1994

Current database systems are based on the assumption that a datum denotes the same meaning; however, in reality, the violation of this assumption is not unusual. Some data are created in such a way that they represent different sets of attribute values. The current research formulates this phenomenon as dissimilarities of derivation rules and defines multi-derived data as ones that are derived by multiple rules. For multi- derived data, this research proposes a new retrieval scheme and analyze its implication with relation to data retrieval.

• Transactions of the Korean Society of Automotive Engineers
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• v.24 no.5
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• pp.605-611
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• 2016

Mg alloy sheet exhibits significant differences in tensile and compressive yield stress depending on the temperature, as well as variations in its hardening behavior. Such unusual behavior makes it difficult to simulate the forming process of Mg alloy sheets. Results of analysis tend to deviate significantly from the experimental data because commercial software do not completely implement the unusual hardening behavior, yield asymmetry and temperature dependent changes in the Mg alloy's material properties. In the previous study, an in-plane tension-compression cyclic tester was developed to predict the cyclic behavior of Mg alloy sheets at an elevated temperature of up to $250^{\circ}C$. A new constitutive equation was suggested to analyze the unusual behavior, and was implemented in the commercial software in the form of user subroutine. In this paper, a stamping process of Mg seat cushion panel for automotive parts was simulated using the experimental data and user subroutine. Based on the analysis, an optimal temperature condition was determined and a stamping die shape at each step was suggested in the non-isothermal stamping of Mg alloy sheets.

• Journal of the Korean Statistical Society
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• v.36 no.3
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• pp.435-445
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• 2007

This paper addresses for the first time the use of complete data information criteria in unsupervised learning of the Naive-Bayes model. A Monte Carlo study sets a large experimental design to assess these criteria, unusual in the Bayesian network literature. The simulation results show that complete data information criteria underperforms the Bayesian information criterion (BIC) for these Bayesian networks.

• Clinics in Shoulder and Elbow
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• v.17 no.3
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• pp.127-133
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• 2014

Heterotopic ossification (HO) within the substance of the subscapularis tendon is a rare lesion which remains a poorly described condition with little known of the exact mechanisms involved. Furthermore, its clinical importance remains still unclear. To our knowledge, there are no studies present to data regarding HO within the substance of the subscapularis tendon, even with resultant isolated complete tear of the subscapularis tendon. Here we present a case of huge HO associated with unusual isolated complete tear of subscapularis tendon concomitant with tear of biceps long head tendon. After arthroscopic debridement for the complete tear site of biceps long head tendon, mini-open excision of the ossification and subscapularis repair with suture anchor fixation were performed. The patient showed complete recovery of strength and function of the subscapularis at subsequent 24 months follow up.