• Korean Journal of Plant Resources
• /
• v.34 no.4
• /
• pp.287-296
• /
• 2021

Recently, the pace of global climate change has tremendously increased, causing extreme damage to crop production. Here, we aimed to examine the growth characteristics and useful components of Angelica gigas under extreme heat stress, providing fundamental data for its efficient cultivation. Plants were exposed to various experimental temperatures (28℃, 34℃, and 40℃), and their growth characteristics and content of useful components were analyzed. At the experimental site, the ambient and soil temperature were 19.38℃ and 21.34℃, ambient and soil humidity were 81.3 % and 0.18 m³/m³, solar radiation was 162.05 W/m². Moreover, the soil was sandy-clay-loam (pH 6.65), with 2.66% organic matter, 868.52 mg/kg soil available phosphate, and 0.14% nitrogen. Values of most growth characteristics, including the survival rate (85%), plant height (38.66cm), and fresh and dry weight (41.3 g and 14.24 g), were the highest at 28℃. Although the highest content of useful components was observed at 34℃ (3.24%), there were no significant differences across temperatures. Growth characteristics varied across temperatures due to detrimental effects of heat stress, such as accelerated tissue aging, reduced photosynthesis, and delay of growth. Similar content of useful components across temperatures may be due to poor accumulation of anabolic products caused by impaired growth at extremely high temperatures.

• Asia pacific journal of information systems
• /
• v.5 no.2
• /
• pp.143-176
• /
• 1995

We present an overview of the Extensional Object Model (ExOM) and describe in detail the learning and classification components which integrate concepts from machine learning and object-oriented databases. The ExOM emphasizes flexibility in information acquisition, learning, and classification which are useful to support tasks such as diagnosis, planning, design, and database mining. As a vehicle to integrate machine learning and databases, the ExOM supports a broad range of learning and classification methods and integrates the learning and classification components with traditional database functions. To ensure the integrity of ExOM databases, a subsumption testing rule is developed that encompasses categories defined by type expressions as well as concept definitions generated by machine learning algorithms. A prototype of the learning and classification components of the ExOM is implemented in Smalltalk/V Windows.

• Coupled systems mechanics
• /
• v.9 no.5
• /
• pp.397-410
• /
• 2020

The present investigation is concerned with two-dimensional deformation in a homogeneous isotropic non local thermoelastic solid with two temperatures due to thermomechanical sources. The theory of memory dependent derivatives has been used for the study. The bounding surface is subjected to concentrated and distributed sources (mechanical and thermal sources). The Laplace and Fourier transforms have been used for obtaining the solution to the problem in the transformed domain. The analytical expressions for displacement components, stress components and conductive temperature are obtained in the transformed domain. For obtaining the results in the physical domain, numerical inversion technique has been applied. Numerical simulated results have been depicted graphically for explaining the effects of nonlocal parameter on the components of displacements, stresses and conductive temperature. Some special cases have also been deduced from the present study. The results obtained in the investigation should be useful for new material designers, researchers and physicists working in the field of nonlocal material sciences.

• Journal of the Semiconductor & Display Technology
• /
• v.14 no.2
• /
• pp.67-72
• /
• 2015

For the development of UFS device test system, M-PHY specifications should be matched with MIPI-standard which is analog signal protocol. In this paper, the implementation methodology and hardware structure for the M-PHY AFE (Analog Front End) Block was suggested that it can be implemented using universal components without ASIC process. The testing procedure has a jitter problem so to solve the problems we using ASIC process, normally but the ASIC process needs a lot of developing cost making the UFS device test system. In is paper, the suggestion was verified by the output signal which was compared to the MIPI-standard on the Prototype-board using universal components. The board was reduced the jitter on the condition of HS-TX and 5.824 Gbps Mode in SerDes (Serialize-deserializer). Finally, the suggestion and developed AFE block have a useful better than ASIC process on developing costs of the industrial UFS device test system.

• Proceedings of the Korean Society of Precision Engineering Conference
• /
• 2002.10a
• /
• pp.411-415
• /
• 2002

In this paper, a mechanical probe for CMM (Coordinate Measuring Machine) with a three-axis force-sensing unit is proposed, which is capable of measuring an actual contact position without the lobbing effect and the pre-travel error. The force-sensing unit detects the external force, which is act on the stylus of CMM during the measuring process. Thus, the contact point of the stylus of CMM can be estimated ken the direction of measured force components. Based on the structural analysis of the proposed CMM probe, the transformation matrix is derived and calibrated so that it shows linear relationships between the estimated force components from the output voltages and the real input forces. And, the relationships are verified through the computer simulation. The results show that the proposed mechanical probe is very useful fur detecting the contacting force components on measuring process of CMM.

• Food Science of Animal Resources
• /
• v.21 no.3
• /
• pp.246-255
• /
• 2001

Sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE) of muscles extracted with distilled water, saline solution, SDS or Trition X-100 showed simular protein patterns between Hanwoo and Holstein meat, indicating that SDS-PAGE technique may not be useful for the identification between Hanwoo and Holstein meat. Lectine blot analysis of muscle extracted with distilled water demonstrated that Hanwoo and Holstein meat had similar affinities for concanavalin A (Con A), ricinus communis agglutinin (RCA-120), ulex europaeus agglutinin (UEA-1) or peanut agglutinin (PNA) lectins. However, approximately 32.1 kDa component of Hanwoo meat showed high affinity for dolichos biflorus agglutinin (DBA) lectin. On the contrary, high molecular weight components of Holstein meat had the specific affinity for wheat germ agglutinin (WGA) lectin. Hanwoo meat-specific components were observed by lectin staining of heat-denatured meat at 100$^{\circ}C$ for 30 sec. Also, the component of heat-denatured meat at 100$^{\circ}C$ for 30 sec, which was slightly smaller than Hanwoo meat-specific component, was concentrated specifically in Holstein meat.

• PNF and Movement
• /
• v.7 no.1
• /
• pp.17-23
• /
• 2009

Purpose : To provide a convenient framework for PNF practice, we reviewed the relationship between ICF framework and PNF framework. Methods : We reviewed literatures related with ICF and PNF. Results : ICF model is useful tool for physical therapist who is working in PNF to identify the interactions the components of individual's health, especially the relationship between functioning and disability. A framework for PNF is philosophy which included the concept, functional approach. It is essential to identify primary activity limitation and causal impairment in PNF field and evaluate the their relationship. The ICF model can be used to classify the examination information. Next step is to prioritize the activity limitation and then evaluate the interrelationships among each components of the ICF framework. Conclusions : ICF model guides physical therapist in PNF practice to identify patient problems and evaluate the interrelationship of components of their health. This model is logical framework to directs functional approach as PNF philosophy to be approached the goal.

• Journal of Microbiology
• /
• v.35 no.3
• /
• pp.193-199
• /
• 1997

From several industrial wastewaters, 14 bacterial strains which degrade benzene, toluene, o-xylene, m-xylene, or p-xylene (BTX) were obtained. These strains were characterized as to their species composition and the substrate range, kinetic parameters and the substrate interactions were investigated. Although BTX components have a similar chemical structure, isolated strains showed different substrate ranges and kinetic parameters. None of the strains could degrade all of BTX components and most of them showed an inhibition (Haldane) kinetics on BTX, BTX mixtures were removed under inhibitory substrate interactions with variation in the intensity of inhibition. For a complete degradation of BTX, a defined mixed culture containing three different types of patyways was constructed and all of the BTX components were simultaneously degraded with the totla removal rate of 225.69 mg/g biomass/h Judging from the results, the obtained mixed culture seems to be useful for the treatment of BTX-contaminated wastewater or groundwater as well as for the removal of BTX from the contaminated air stream.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
• /
• 2005.11a
• /
• pp.127-130
• /
• 2005

There are many methods in feature extraction have been developed. Recently, principal components analysis (PCA) and independent components analysis (ICA) is introduced for doing feature extraction. PCA and ICA linearly transform the original input into new uncorrelated and independent features space respectively In this paper, the feasibility of using nonlinear feature extraction will be studied. This method will employ the PCA and ICA procedure and adopt the kernel trick to nonlinearly map the data into a feature space. The goal of this study is to seek effectively useful feature for faults classification.

• Knowledge Management Research
• /
• v.4 no.1
• /
• pp.67-79
• /
• 2003

Today, corporate knowledge plays a critical role in obtaining competitive advantage. It is often pointed out that corporate knowledge is expected to be able to support various efforts for process innovation. Accordingly, it is important to establish a systematic infrastructure for the acquisition of knowledge which can support business-critical tasks effectively. From this motivation, this paper proposes a framework to guide a series of acquisition procedures for task knowledge and shows how to intemperate with activities for an innovation purpose. Moreover, the useful components of task knowledge are proposed; the schema of the components is ultimately implemented as a repository in a system for the management of task knowledge. To demonstrate the practical usefulness of the framework and the schema components, a real-life case is illustrated.