• Korean Journal of Food Science and Technology
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• v.6 no.2
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• pp.98-108
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• 1974

Fourteen varieties of Korean chestnut were subjected to the test of adaptability for processing and the possibilities of colored products development. The fruit size of Korean chestnut ranged $11{\sim}18g$ and these small fruits could not be expected to be utilized for the processing of Marron glaces which requires larger size as $25{\sim}30g$. As the storge period is extended the discoloration tendency of chestnut flesh was increasingly developed, however, the fresh chestnut has shown layer-separating phenomenon and ragged surface of fruit which delivers disagreeable appearance to the finished product. The principal factors of discoloration occurred during processing were the behavior of tannin and darkening rate shown on flesh differed each other among varieties; the Chukpa and Yuma variety have exhibited the most serious discoloration and the Taab-b variety, the lightest. Taab-b variety in this connection could be expected to be available for Kanroni processing. For the industrialization of chestnut processing the flame-scorched peeling method is advisable. The capacity of this method is proportional to the square of scorching radius and highly flexible in controlling its performance. As for the processing of colored product, the sugar dehydration and coating and the sugar penetration method demand further study in basical views; however, the canned product of chestnut-redbean has shown the possibility of being utilized as a substitute for or paralleled use with the sugar-syruped canned product which so far has been considered as the only item of export to Japan.

• Korean Journal of Agricultural Science
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• v.6 no.2
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• pp.198-204
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• 1979

In order to obtain the basic data for processing adaptability of hazelnut, physico-chemical properties and heat stability of hazelnut oil were invest igated, and the results obtained are summarized as follows. 1. Hazelnut showed highly nutrient value as the content of oil and protein were 59.6% and 17.35, respectively. 2. In physicochemical properties of hazelnut oil, refractive index was 1.469, specific gravity 0.912, saponification value 167.3 and iodine value 63.43, therefore, it was found to be non-drying oil. 3. In composition of fatty acids in hazelnut oil, oleic acid was contained much in comparisoon with other fatty acids, and which was similar to olive oil. 4. 18 kinds of amino acids were existence in protein of hazelnut cake and among these the content of glutamic acid was the highest. 5. The peroxide value were the highest in the heat ing at $150^{\circ}C$ for 30 hours and at $180^{\circ}C$ for 10 hours, and then decreased as the heating time were longer. The carbonyl value was increased as heating time passed. 6. Acid value of hazelnut oil in the heating at $150^{\circ}C$ for 30 hours and at $180^{\circ}C$ for 10 hours were similar to each other.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.9 no.4
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• pp.1441-1456
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• 2015

The bidimensional empirical mode decomposition (BEMD) algorithm with high adaptability is more suitable to process multiple image fusion than traditional image fusion. However, the advantages of this algorithm are limited by the end effects problem, multiscale integration problem and number difference of intrinsic mode functions in multiple images decomposition. This study proposes the multiscale self-coordination BEMD algorithm to solve this problem. This algorithm outside extending the feather information with the support vector machine which has a high degree of generalization, then it also overcomes the BEMD end effects problem with conventional mirror extension methods of data processing,. The coordination of the extreme value point of the source image helps solve the problem of multiscale information fusion. Results show that the proposed method is better than the wavelet and NSCT method in retaining the characteristics of the source image information and the details of the mutation information inherited from the source image and in significantly improving the signal-to-noise ratio.

• The KIPS Transactions:PartD
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• v.11D no.7 s.96
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• pp.1491-1498
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• 2004

Successful project planning relics on a good estimation of the manpower required to complete a project, together with the schedule options that may be available. Despite the extensive research done developing new and better models, existing software manpower estimation models are present only the total manpower or instantaneous manpower distribution according to the testing time for the software life-cycle. This paper suggests the manpower estimating models for software testing phase as well as testing process and debugging process in accordance with de-tected faults. This paper presents the polynomial model for effort based on testing and debugging faults. These models are verified by 5 different software project data sets with coefficient of determination and mean magnitude of relative error for adaptability of model.

• Journal of information and communication convergence engineering
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• v.7 no.2
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• pp.119-124
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• 2009

In this paper, we propose a novel approach to estimating the real-time moving trajectory of an object is proposed in this paper. The object's position is obtained from the image data of a CCD camera, while a state estimator predicts the linear and angular velocities of the moving object. To overcome the uncertainties and noises residing in the input data, a Extended Kalman Filter(EKF) and neural networks are utilized cooperatively. Since the EKF needs to approximate a nonlinear system into a linear model in order to estimate the states, there still exist errors as well as uncertainties. To resolve this problem, in this approach the Kohonen networks, which have a high adaptability to the memory of the input-output relationship, are utilized for the nonlinear region. In addition to this, the Kohonen network, as a sort of neural network, can effectively adapt to the dynamic variations and become robust against noises. This approach is derived from the observation that the Kohonen network is a type of self-organized map and is spatially oriented, which makes it suitable for determining the trajectories of moving objects. The superiority of the proposed algorithm compared with the EKF is demonstrated through real experiments.

• International Journal of CAD/CAM
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• v.6 no.1
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• pp.173-181
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• 2006

In this paper, an integration framework of Geometric Constraint Solving Engine and AutoCAD is presented, and a dynamic geometric constraint system is introduced. According to inherent orientation features of geometric entities and various Object Snap results of AutoCAD, the' proposed system can automatically construct an under-constrained geometric constraint model during interactive drawing. And then the directed constraint graph in a geometric constraint model is realtime modified in order to produce an optimal constraint solving sequence. Due to the open object-oriented characteristics of AutoCAD, a set of user-defined entities including basic geometric elements and graphics constraint relations are defined through derivation. And the custom-made Object Reactor and Command Reactor are also constructed. Several powerful characteristics are achieved based on these user-defined entities and reactors, including synchronously processing geometric constraint information while saving and opening DWG files, visual constraint relations, and full adaptability to Undo/Redo operations. These characteristics of the proposed system can help the designers more easily manage geometric entities and constraint relations between them.

• Journal of Computing Science and Engineering
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• v.12 no.1
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• pp.12-23
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• 2018

The Internet of Things (IoT) ecosystem potentially includes heterogeneous devices with different processing mechanisms as well as very complicated network and communication models. Thus, analysis of data associated with adverse conditions is much more complicated. Moreover, mobile things in the IoT lead to dynamic alteration of environments and developments of a dynamic and ultra-large-scale (ULS) environment. Also, IoT and the services provided by that are mostly based on devices with limited resources or things that may not be capable of hosting conventional controls. Finally, the dynamic and heterogeneous and ULS environment of the IoT will lead to the emergence of new security requirements. The conventional preventive and diagnostic security controls cannot sufficiently protect it against increasing complication of threats. The counteractions provided by these methods are mostly dependent on insufficient static data that cannot sufficiently protect systems against sophisticated and dynamically evolved attacks. Accordingly, this paper investigates the current security approaches employed in the IoT architectures. Moreover, we define the dynamic security based on dynamic event analysis, dynamic engineering of new security requirements, context awareness and adaptability, clarify the need for employment of new security mechanism, and delineate further works that need to be conducted to achieve a secure IoT.

• The Journal of the Acoustical Society of Korea
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• v.20 no.5
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• pp.61-68
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• 2001

In this paper, an analytical method and a difference approximation method to calculate the gradient of an objective function have been applied to the directivity optimization in an adaptive ultrasonic transducer which is combined with a point source array and an optimization algorithm (DFP method). To compare these two methods, quasi-ideal .beam with a beam width and direction specified are chosen as the desired directivity. As the numerical results, the difference approximation method shows better suppressive capacity of side lobe level, good stability in the convergence processing, faster convergence speed and excellent adaptability compared with the analytical method.

• The KIPS Transactions:PartD
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• v.13D no.4 s.107
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• pp.613-618
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• 2006

As the embedded software spreads in various areas, many development tools have been made to minimize the developing time. But these tools cannot be applicable to all the environment because they have been created for the specific platform. As such, this paper proposes an Embedded Monitoring System, which supports the various communication environment and removes the limitation of adaptability to the various platforms. Using the Code Inline technique, this system can perform the monitoring process. However, we should consider the optimization for the monitoring process and monitoring sensors because the technique has the monitoring sensor overhead. As such, this paper proposes an approach for initializing the monitoring process and a bit-masking technique for optimizing the monitoring sensor. The Embedded Monitoring System will be applicable to all the areas using embedded systems.

• The KIPS Transactions:PartB
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• v.12B no.3 s.99
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• pp.329-336
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• 2005

This paper proposes a method to provide intelligence for characters in fighting action games by using genetic algorithm. The proposed characters without any knowledge on the rules of the game learn the rules and techniques for generations, and have the capability of evolving. To evaluate adaptability for varying circumstances, we changed the rules and compared the results. The experimental results show that the intelligent characters can adapt to the new rules. An advantage of the proposed method is that it can be easily applied to characters for other category of games such as PC games and internet online games.