Earticle

This paper proposes an optimization technique for voxel ambient occlusion through adaptive cone tracing. The voxel ambient occlusion technique involves voxelizing a mesh scene, storing the reflected light on the voxels, and then projecting cones in the direction of the surface normal to sample the stored reflected light, thereby expressing shading due to ambient occlusion. When applying this to volume data, where surfaces are often ambiguous, it is necessary to define a threshold density value that assumes a surface is formed where reflection occurs based on the volume data's density distribution, making the technique sensitive to noise generated during image acquisition. As a solution, this study confirms that by calculating the distance from the bounding box during cone tracing and adjusting the number and aperture angle of the cones based on this distance, it is possible to maintain realistic shadow representation in critical areas while reducing computational load and improving speed.

The energy aware based active node decision and the sensing directions thereof become the research hotspots of DNN (Directional Sensor Network). Therefore, an EACO (Energy aware-based coverage optimal) algorithm is proposed in this paper. Specifically, each cluster head decides the number of the active nodes of the cluster members and the sensing directions thereof according to the coverage area of the sensor nodes and the energy information thereof. Meanwhile, the dormancy mechanism is adopted to minimize the overlapping area among the clusters. The simulation result shows that the proposed EACO algorithm is improved in the aspects of coverage rate and network lifetime.

Support vector machine (SVM) is a kind of machine learning method, but the selection of parameters has important effects on the generalization ability of SVMs. In this study, the relation between the error penalty parameter C, kernel parameter σ and the generalization ability of SVMs is discussed. Parameter C adjusts the similarity among within-class members, while parameter σ adjusts the similarity between classes. Moreover, C and σ balances each other mutually within a certain range, which forms a fan-shaped optional parameter distribution region. The optimal parameter area should be located near the center of the sector where both C and σ are small. According to this, a method is suggested to first search a suitable area with coarse grids, and then determine the optimal parameter within the area with a fine bilinear grid. Experimental results show that the new parameter selection method can not only avoid local optima, and thus excluding the cases in which C and σ are big and unstable, but also can be extremely fast in searching process. Compared with other parameter selection methods, the performance of SVMs cannot be influenced, or even better in some cases.

This experiment was conducted to study the effect of different water and fertilizer inputs on the yield to improve the paddy yield in blackland in the cold region. A water-fertilizer coupling mathematical model between the yield and factors including N fertilizer, K fertilizer, P fertilizer and irrigation water(W)amount under controlled irrigation was established based on quadratic D-416 optimized saturation design and test-pit experiment. According to the results, the sequence on effects of water and fertilizer on the yield: W > N > K > P, and as the above inputs increasing, the yield increased at an earlier stage but declined later; for the effects caused by reciprocal action of two factors, the yield increased at an earlier stage but started to decline when certain threshold was reached, the sequence on effects caused by reciprocal action of two factors on the yield: N&K > N&W > K&W > N&P > P&W >K&P; under a yield target range of 10500~12000kg/km3 and a confidence interval of 95%, an optimized water and fertilizer adaptation program was 129.10~150.79 kg/hm2，K2O：81.15~105.47 kg/hm2，P2O5：43.19~71.71 kg/hm2, the soil water content at late tillering stage was 70.07%~72.57% of saturated water content.

In traditional HVAC systems, the PID gains (Kp, Ki, Kd) for control have been determined by experts or through classic PID tuning methods based on system estimation as linear systems. This approach aims to optimize the PID gain values through control to enhance thermal comfort in buildings while reducing energy consumption. However, limitations exist in linear system estimation due to variations in control response time, diverse climate conditions, and challenges in predicting occupant behavior, which are contingent on building characteristics. In this study, we propose a method to discover PID gain values (Kp, Ki, Kd) for HVAC systems using reinforcement learning algorithms i.e., Trust Region Policy Optimization (TRPO) and Proximal Policy Optimization (PPO). Through this approach, we have achieved a significant energy savings compared to conventional methods, and we plan to further validate this method across various building types and diverse climatic conditions.

In this paper, an adaptive trust region method based on the conic model for unconstrained optimization problems is proposed and analyzed. We establish the global and super linear convergence results of the method. Numerical tests are reported that confirm the efficiency of the new method.

In this paper, a combining trust region and line search algorithm for equality constrained optimization is proposed. At each iteration, we only need to solve the trust region subproblem once, when the trust region trial step can not be accepted, we switch to line search to obtain the next iteration. Hence, the difficulty of repeated solving trust region subproblem in an iterate is avoided. In order to allow the direction of negative curvature, we add second correction step in trust region step and employ nonmonotone technique in line search. The global convergence and local superlinearly rate are established under certain assumptions. Some numerical examples are given to illustrate the efficiency of the proposed algorithm.

Syndecan-4 is a transmembrane heparan sulfate proteoglycan, which is a coreceptor with integrins in cell adhesion. To get better understand the mechanism and function of Syndecan-4, it is critical to elucidate the three-dimensional structure of a single transmembrane spanning region of them. Unfortunately, it is hard to prepare the peptide because syndecan-4 is membrane-bound protein that transverse the lipid bilayer of the cell membrane. Generally, the preparation of transmembrane peptide sample is seriously difficult and time-consuming. In fact, high yield production of transmembrane peptides has been limited by experimental adversities of insufficient yields and low solubility of peptide. Here, we demonstrate experimental processes and results to optimize expression, purification, and NMR measurement condition of Syndecan-4 transmembrane peptide.

본 논문에서는 고정된 카메라로부터 입력된 연속 영상에서 움직이는 오브젝트의 영역을 오브젝트의 형태 변화에 덜 민감하게 추적하는 방법을 제안한다. 제안된 방법은 차영상 분석에 의해 오브젝트의 움직임을 감지하는 단계와 연결성 검사 방법을 적응하여 오브젝트의 영역을 찾아내는 단계와 최적 영역 알고리즘을 이용하여 오브젝트에 최적화된 사각의 영역을 구하는 단계로 구성되어져 있다. 제안된 방범을 카메라로부터 입력된 연속영상들을 대상으로 실험해본 결과 오브젝트의 형태변화에 던 민감한 최적영역을 잘 찾아낼 수 있었다

In this paper the trust region method is studied and applied in aerodynamic shape optimization. The trust region method is a gradient-based optimization method, but it is not as popular as other methods in engineering computations. Its theory will be explained for unconstrained optimization problems and a trust region subproblem will be solved with the dogleg method. After verifying the trust region method with analytical test problems, it is applied to aerodynamic shape design optimization and the performance of airfoil is improved successfully.

탄화규소(Silicon Carbide) 기반의 1200 V급 Merged Pin Schottky(MPS) 다이오드의 구조를 2D-atlas simulation tool을 사용하여 최적화 및 설계하였다. 최적화된 항복전압과 온-저항 값을 얻기 위해 본 소자에서 중요한 파라미터인 P-Grid의 도핑농도와 에피층의 도핑농도를 각각 $2{\sim}10{\times}10^{17}cm^{-3}$, $2{\sim}10{\times}10^{16}cm^{-3}$으로 변화시키면서 소자의 전기적 특성을 분석하였으며, 그 후 P-Grid의 Space값을 $1{\sim}5{\mu}m$로 설계하여 이에 따른 항복전압과 온-저항의 값을 확인하였다. 항복전압과 온-저항은 서로 trade-off 관계에 있기 때문에 각 변수에서 도출된 값들을 Baliga's Figure Of Merit (BFOM)식에 대입하여 비교하였다. 그 결과 고전압 소자에 적용 가능한 1200 V급 4H-SiC MPS다이오드를 최적화 및 설계를 도출하였다.

In this work, the merged PiN Schottky(MPS) diodes based silicon carbide(SiC) have been optimized and designed for 1200V diodes by 2D-atlas simulation tool. We investigated the optimized characteristics of SiC MPS diodes such as breakdown voltage and specific on-resistance by varying the doping concentrations of P-Grid/epi-layer and space of P-Grid, which are the most important parameters. The breakdown voltage and specific on-resistance, based on Baliga's Figure Of Merit (BFOM), have been compared with and the SiC-based MPS diodes show improved BFOMs with low values of specific on-resistance and high breakdown voltage. It has been demonstrated 1,200 V SiC MPS diodes will find useful applications in high voltage energy-efficient devices.

Wide bandgap (WBG) devices, especially SiC, are gaining traction as materials for high-power EV conversion devices due to their superior efficiency and switching capabilities compared to Si-based power devices. SiC allows for high power, high temperature, and high frequency applications because of its outstanding thermal conductivity, saturation velocity, and dielectric breakdown field. SiC-based MPS diodes combine the advantages of SiC-based SBDs and PiN diodes, allowing high-frequency switching operation with low leakage currents under high voltage conditions. However, MPS diodes exhibit snapback phenomena influenced by the P⁺ region's size, necessitating optimization. A TCAD simulation studied the impact of the P⁺ region's depth and width on MPS diode performance. Increasing the P⁺ width raised the On-specific resistance (R_on,sp) and lowered the maximum voltage during snapback (V_snap). Increasing the depth decreased both Breakdown voltage (BV) and V_snap. A trade-off between the semiconductor performance index BFOM and V_snap was identified, leading to optimized dimensions. The optimized MPS diode shows a low V_snap of about 3.89 V and a high BFOM of 1.72 GW·cm², highlighting its potential as a next-generation high-performance power conversion device.

Synchronous reluctance motors(SynRM) for the application such as an electric vehicle, compressor drives of air conditioner and machine tool spindle drives require a wide field-weakening speed range. In order to improve the efficiency performance in such applications, this paper has examined the loss and the efficiency characteristics of SynRM mainly in the field-weakening speed region over the base speed. The control strategy in order to offer a efficiency optimization operation is shown and the copper and iron losses driven the equivalent circuit model of the machine is minimized. The usefulness of the proposed efficiency optimization control is verified through the SynRM durve system.

얼굴 인식은 생체인식 기술 중 비 강압식이라는 장점으로 인해 각광받고 있는 분야이다. 그러나 얼굴인식은 조명, 표정에 의해 인식 성능이 저하되는 단점이 있다. 그 중 얼굴표정에 많은 영향을 받으며, 잡음이 많은 부분이 입술부분이다. 입술모양의 변화에 따라 가보벡터 추출에 잡음이 포함되기 때문에, 얼굴 인식 성능이 저하되는 현상이 발생됨을 실험을 통해 알 수 있었다. 따라서 본 논문에서는 입술모양의 변화에 따른 잡음을 줄이기 위해 입술영역에 최적화된 말스버그 가보 웨이브렛 커널(Malsburg Gabor Wavelet Kerne)을 제안한다. 각 입술 특징점에 말스 버그 가보 웨이브렛을 적용하여, 추출된 가보벡터를 통계적으로 분석함으로써 잡음을 확인 할 수 있었으며, 잡음을 최소화하기 위해 입술 영역에 적응적인 말스버그 가보 웨이브렛 커널 을 제안하였다. 실험에 사용한 이미지는 1196 FERET Gellery 이미지를 사용하였으며, 얼굴 인식 성능이 향상됨을 알 수 있었다.

The 4H-SiC VDMOSFET demonstrates a high reverse breakdown voltage (BV) due to the JFET region but experiences relatively high on-resistance (R_on). A widely adopted method to reduce the R_on is to uniformly increase the doping concentration of the JFET region, which results in a trade-off that reduces the BV. This study proposes a method to optimize the segmentation of the JFET region by selectively increasing the doping concentration using 'total doping', 'half-doping', and 'quarter-doping'. The optimized quarter segment with a specific doping concentration slightly reduces BV, but the sharp decrease in specific on-resistance (R_on,sp) results in a 105% improvement in the performance index, Baliga's Figure of Merit (BFOM). This research suggests the potential for electrically superior designs by modifying the doping concentration in the JFET region of conventional VDMOSFET structures.

This study enhances AI algorithms for extracting spinal regions from Whole Spine X-rays, aiming for higher accuracy while minimizing learning and detection times. Whole Spine X-rays, critical for diagnosing conditions such as scoliosis and kyphosis, necessitate precise differentiation of spinal contours. The conventional manual methodology encounters challenge due to the overlap of anatomical structures, prompting the integration of AI to overcome these limitations and enhance diagnostic precision. In this study, 1204 AP and 500 LAT Whole Spine X-ray images were meticulously labeled, spanning the third cervical to the fifth lumbar vertebrae. We based our efforts on the HR-Net algorithm, which exhibited the highest accuracy, and proceeded to simplify its network architecture and enhance the block structure for optimization. The optimized HR-Net algorithm demonstrates an improvement, increasing accuracy by 2.98% for the AP dataset and 1.59% for the LAT dataset compared to its original formulation. Additionally, the modification resulted in a substantial reduction in learning time by 70.06% for AP images and 68.43% for LAT images, along with a decrease in detection time by 47.18% for AP and 43.07% for LAT images. The time taken per image for detection was also reduced by 47.09% for AP and 43.07% for LAT images. We suggest that the application of the proposed HR-Net in this study can lead to more accurate and efficient extraction of spinal regions in Whole Spine X-ray images. This can become a crucial tool for medical professionals in the diagnosis and treatment of spinal-related conditions, and it will serve as a foundation for future research aimed at further improving the accuracy and speed of spinal region segmentation.

In this work, static characteristics of 4H-SiC SJ-ACCUFETs were obtained by adjusting the p-pillar region. The structure of this SJ-ACCUFET was designed by using a two-dimensional simulator. The static characteristics of SJ-ACCUFET, such as the breakdown voltages, on-resistance, and figure of merits, were obtained by varying the p-pillar doping concentration from $1{\times}10^{15}cm^{-3}$ to $5{\times}10^{16}cm^{-3}$ and the thickness from $0{\mu}m$ to $9{\mu}m$. The doping concentration and the thickness of p-pillar region are closely related to the break down voltage and on-resistance and threshold voltages. Hence a silicon carbide SJ-ACCUFET structure with highly intensified breakdown voltages and low on-resistances with good figure of merits can be achieved by optimizing the p-pillar thickness and doping concentration.

수도재배에 있어서 수량은 여러 가지 요인이 복합적으로 작용하여 나타난 반응의 산물이다. 수도의 적정재배조건을 구명하기 위하여 지금까지는 제한된 요인 및 수준에서 시험연구가 수행되어 왔는데, 처리요인수 및 각 요인당 처리수준이 증가될 경우 전체 처리수의 급증으로 시험수행이 어렵게 된다. 본 연구는 이를 극복하고자 조생량 벼 품종 '운봉벼'의 재식주수, 주당본수, 질소시비량, 이앙일, 육묘일수 등 5가지 계량적 재배요인의 최적조건을 구명하기 위한 시험을 수행하고 수량을 Box와 Wilson의 중심합성계획법에 따라 분석하였으며(시험 1), 같은 품종을 공시하여 실험 1과 같은 요인을 Finney의 부분실시법(FFD)과 비교함으로써(시험 2) CCD의 농사시험연구에의 활용가능성을 제시하고자 하였다. 1. 재배조건에 따른 수량반응 수량은 5요인중 4요인의 수준을 중심수준에서 통제하였을 때 각 요인별 최대수량은 중심수준(재식주수, 90수/3.3$m^2$ ; 주당본수, 5본 ; N시비량, 11kg/10a ; 이앙일, 6월 25일 ; 육묘일수, 35일) 부근이었고 각 요인이 양극단수준으로 갈수록 감수하였으며 5요인중 3요인을 중심수준에서 통제하고 난 뒤에 2요인들 간의 상호작용에 의한 수량은 가 수준의 중심부에서 최고치를 보였다. 전체 5개 요인의 상호작용에 의해 나타난 수량의 정상점은 안부점이었다. 2. 두 계획법의 비교 가. CCD에서 수량에 대한 각각의 정상점에서의 재배조건은, 재식주수 107주/3.3$m^2$, 주당본수 4본, 질소시비량 10kg/10a, 이앙일 6월 26일, 육묘일수 33일이었고, 정상점에서의 수량은 439kg/10a으로서 FFD에서의 그것들과 비슷하였다. 나. CCD에 의하면 요인수와 수준수가 많아도 처리조합수를 획기적으로 줄일 수 있었고, 실험재료의 절적, 작업시간의 단축 및 작업의 간편화를 가져왔다. 다. CCD(각 요인별 5수준)는 FFD(각 3수준)에 비하여 수준수가 많았지만 결과를 도해화하기에 편리하였다. 라. 양 계획법에 있어서 수량의 정상점이 안부점인 것으로 보아 요인의 설정시 각 요인 상호간의 이질성을 고려해야 하며, 처리요인의 지나친 증가도 억제되어야 할 것이다. 마. CCD는 극한수준($\pm$2, $\pm$2, $\pm$2, $\pm$2, $\pm$2)의 처리가 없기 때문에 각 요인의 극한수준의 실험영역에 대해서는 적은 정보를 얻었으나. FFD보다는 많은 유익한 정보를 획득할 수 있었다. 따라서, CCD는 획기적으로 처리수를 줄였어도 유익한 정보를 제공하는 것으로 보아, 농사시험연구에 효율적으로 활용할 수 있는 계획적으로 확인되었다.적으로 확인되었다.

Two field experiments were carried out to assess the applicability of a central composite design (CCD) in determining optimum culture condition of an early rice cultivar, Unbongbyeo in southern Korea. A central composite design with two replicates was applied to five levels of five factors such as the number of hills per 3.3m2, the number of seedlings per hill, the levels of nitrogen, the transplanting date and the seedling age (Experiment 1). The levels of planting density were ranged from 30 hills to 150 hills per 3.3m2 ; the number of seedlings per hill from 1 seedling to 9 seedlings per hill; the levels of nitrogen application from 1 kg/l0a to 21 kg/l0a; the transplanting date from June 15 to July 5; the seedling age from 25 days to 45 days. A fractional factorial design was applied to three levels of five factors tested in CCD (Experiment 2). Yield per hill and per unit area were examined and the results obtained from both experiments were compared. The benefits from the central composite design were discussed. Maximum yield of brown rice per unit area was obtained at the combination of the central levels of one of five factors when the other four factors were fixed at central point. Furthermore, brown rice yield per unit area affected by interaction of two factors was maximized at the central point when the remain three factors being fixed at the central level. The responses of five factors to brown rice yield per hill and unit area were found to be a saddle point in both designs. Actual values of the stationary points were 107 hills per 3.3 m2, 4 seedlings per hill, 10 kg nitrogen per l0a, transplanting date of rice on June 26 and 33 days of seedling age in the central composite design. Brown rice yield per unit area at the stationary points were estimated 439 kg/l0a in the central composite design and 442 kg/l0a in the fractional factorial design. Considering the number of experimental treatment combinations, the central composite design was rather convenient in reducing the number of treatment combinations for similar information. It was more convenient for an experimenter to present the results from the central composite design than those from the fractional factorial design. Considering the optimum yields of brown rice per unit area at the stationary points being verified as saddle points in both designs. inter-heterogeneity of each of the factors should be avoided in setting up factors in pursuit of inducing unidirectional response of the factors to yield. Even though both the lower and higher levels in the central composite design being beyond the region of an experimenter's interest. they were considered highly valued in interpretation of the results. Conclusively. the central composite design was found to be more beneficial to optimize culture condition of paddy rice even with several levels of various factors were involved.