• Journal of information and communication convergence engineering
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• v.11 no.4
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• pp.258-267
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• 2013

New incremental learning algorithm using extended data expression, based on probabilistic compounding, is presented in this paper. Incremental learning algorithm generates an ensemble of weak classifiers and compounds these classifiers to a strong classifier, using a weighted majority voting, to improve classification performance. We introduce new probabilistic weighted majority voting founded on extended data expression. In this case class distribution of the output is used to compound classifiers. UChoo, a decision tree classifier for extended data expression, is used as a base classifier, as it allows obtaining extended output expression that defines class distribution of the output. Extended data expression and UChoo classifier are powerful techniques in classification and rule refinement problem. In this paper extended data expression is applied to obtain probabilistic results with probabilistic majority voting. To show performance advantages, new algorithm is compared with Learn++, an incremental ensemble-based algorithm.

• Journal of the Korea Safety Management & Science
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• v.13 no.3
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• pp.191-197
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• 2011

This paper reviewed the relationship between organizational commitment and incremental innovation, and the moderating effect of tenure. The results of hierarchical multiple regression analysis, based on the responses from 434 employees in service industry, showed that affective and nonnative commitment relates positively with incremental innovation, but continuous commitment relates negatively with incremental innovation. In the moderating effects, affective commitment appeared to have more negative effect on operation innovation in longer tenure employee group, and also nonnative commitment appeared to have more negative effect on process and service innovation in longer tenure employee group.

• Journal of the Korean Society of Manufacturing Technology Engineers
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• v.22 no.5
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• pp.800-805
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• 2013

Incremental forming of sheet metal is a modern method of forming sheet metal, where parts can be formed without the use of dedicated dies. Existing experimental configurations for incremental forming can be broadly classified into two categories, i.e., negative and positive forming. In this paper, forming qualities such as shape accuracy and surface roughness of Al 1050 material were discussed for different forming methods. The formed and the corresponding opposing surfaces were measured with a three-dimensional scanner and a surface roughness tester. It was found that in terms of shape accuracy, the best opposing surface was obtained with positive forming, whereas the worst formed surface was obtained with negative forming; furthermore, the opposing surface is always better than the formed surface, regardless of the forming method used.

• Journal of the Korean Society for Precision Engineering
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• v.33 no.4
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• pp.287-293
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• 2016

A monobloc tubular drive shaft is designed to obtain the improved structural safety and the weight reduction of the drive shaft together. The monobloc tubular drive shaft can be manufactured from an incremental hot rotary forging process. The aim of this study was to experimentally determine conditions of an incremental hot rotary forging process for a monobloc tubular drive shaft. Induction heating experiments were performed to estimate a proper heating time of an initial workpiece in an induction heating process. Several incremental hot rotary forging experiments were carried out using a mechanical press with the designed set-up. The step distance and the step angle were chosen as controllable forming parameters. Based on the results of the experiments, the influence of forming parameters on the quality of the forged part was investigated. Finally, a forming map and a proper forming condition of the incremental hot rotary forging process were estimated.

• Journal of Information Processing Systems
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• v.6 no.2
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• pp.163-176
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• 2010

Nowadays due to the rapid advances in the field of information systems, transactional databases are being updated regularly and/or periodically. The knowledge discovered from these databases has to be maintained, and an incremental updating technique needs to be developed for maintaining the discovered association rules from these databases. The concept of Temporal Association Rules has been introduced to solve the problem of handling time series by including time expressions into association rules. In this paper we introduce a novel algorithm for Incremental Mining of General Temporal Association Rules (IMTAR) using an extended TFP-tree. The main benefits introduced by our algorithm are that it offers significant advantages in terms of storage and running time and it can handle the problem of mining general temporal association rules in incremental databases by building TFP-trees incrementally. It can be utilized and applied to real life application domains. We demonstrate our algorithm and its advantages in this paper.

• Journal of the Ergonomics Society of Korea
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• v.15 no.2
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• pp.89-98
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• 1996

The objective of this study was to make comparison of the physical work capacities with different types and methods of tasks. To produce standard work loads, a bicycle ergometer and a treadmill were used for the purpose of two different types of tasks. Maximal oxygen uptake measurement tests are usually performen (1) continuously - with no rest between work load increments, or (2) discontinuously - with the subjects resting several minutes between work periods. Continuous test protocol with two different methods of work load increments, (1) ramp test- with 3 to 5 minutes of work period for each work load, and (2) incremental test - where exercise intensity was increased progressively in 2 minutes interval, were used. Predicted physicala work capacities (PWCs) were compared with the one by Kim(1990), and Lee(1995), and the NIOSH physiological criteria. For ergometer test, the PWC based on the ramp test was 89.65% of the one based on the incremental test. The PWC values were 2553.88 ml/min for the ramp test and 2848.82 ml/min for the incremental test. For treadmill test, the PWC based on the ramp test was 97.54% of the one based on the incremental test. The PWC values were 2786.89 ml/min for the ramp test and 2857.24 ml/min for the incremental test. The PWC obtained with a bicycle ergometer was 91.64% of the one obtained with a treadmill for the ramp test, and 99.71% for the incremental test.

• 제어로봇시스템학회:학술대회논문집
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• 1993.10a
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• pp.398-403
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• 1993

A rule based fuzzy expert system to self-tune PID controllers is proposed in this paper. The proposed expert system contains two rule bases, where one is responsible for "Long term tuning" and the other for "Incremental tuning". The rule for "Long term tuning" are extracted from the Wills'map and the knowledge about the implicit relations between PID gains and important long term features of the output response such as overshoot, damping and rise time, etc., while 'Incremental tuning" rules are obtained from the relations between PID gains and short term features, error and change in error. In the PID control environment, the proposed expert system operates in two phases sequentially. In the first phase, the long term tuning is performed until long term features meet their desired values approximately. Then the incremental tuning tarts with PID gains provided by the long term tuning procedure. It is noticeable that the final PID gains obtained in the incremental tuning phase are only the temporal ones. Simulation results show that the proposed rule base for "Long term tuning" provides superior control performance to that of Litt and that further improvement of control performance is obtained by the "Incremental tuning'.ance is obtained by the "Incremental tuning'.ing'.

• Journal of Internet Computing and Services
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• v.5 no.6
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• pp.111-120
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• 2004

In order to increase the productivity of software, the research to reduce the total cost in software development environments is working, Considerable time is wasted waiting for a changed program in program development, however smell the change, to be edited and compiled and executed. In case of partial change, we need incremental interpreter for reexecuting the changed parts and its affected parts, In this paper, we implement the incremental interpreter by using analyzing dynamic semantics at execution time, We define a new IMPLO(IMPerative Language with Object) language using EBNF(Extended Backus Naur Form) notation and then, design and implement the incremental interpreter of this language by using action equations to describe the dynamic semantics.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.10
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• pp.84-93
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• 2020

This study had two aims (1) to explore the trajectory of family functioning (flexibility and cohesion) in the mothers' perspective and classify it according to the development of their child, and (2) to examine the differences in children's self-esteem as well the internal and external behavioral problems based on the latent groups. A total of 1,348 mothers and their children who participated in the survey in 2013 through to 2017 were analyzed. The group was subdivided into low incremental, average incremental, average-above incremental, and high unchanged groups according to the flexibility, and into low incremental, average incremental, decremental, high incremental, and above-high unchanged groups in terms of cohesion. From 2015 to 2017, the self-esteem of elementary school-age children showed differences depending on the flexibility and cohesion of family functioning; children in the high-unchanged group of flexibility and the above-high unchanged group of cohesion showed high self-esteem. Behavior problems of early childhood and elementary school-age children varied according to the latent classes of flexibility and the cohesion of family functioning. Children in low incremental and average incremental groups of flexibility and low incremental, average incremental, and decremental groups of cohesion showed more internal and external behavioral problems. These findings suggest that family functioning has significant effects on the psychological aspects of children.

• Journal of KIISE:Databases
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• v.27 no.1
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• pp.113-128
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• 2000

The adaptation of spatial view is to update materialized view objects when apatial view is redefined. There are tow kinds of adaptation : incremental updates and recomputation. The incremental update changes related view objects and it is more efficient than the recomputation which evaluates redefined view defining query because spatial view is defined by spatial query including high cost spatial operator. This paper proposes the several incremental update methods according to the types of changing the definition of a spatial view. There are two kinds of incremental view adaptation : the method of using only the existing view objects and the view derivation relationship between view objects and their sources. This incremental update is achieved by updating the current materialized view objects or by inserting new materialized view objects. Spatial view adapter is implemented and tested on top of the object oriented geographic information system. This paper evaluates performance between the recomputation and incremental update method through real data.