Korea Institute of Science and Technology Information

About: Korea Institute of Science and Technology Information is a facility organization based out in Daejeon, South Korea. It is known for research contribution in the topics: Gravitational wave & LIGO. The organization has 1152 authors who have published 2319 publications receiving 93849 citations. The organization is also known as: Korea Institute of Science and Technology Information & KISTI.

Combined Forward-Backward Asymmetry Measurements in Top-Antitop Quark Production at the Tevatron

Abstract: Department of Energy; National Science Foundation (U.S.A.); Australian Research Council (Australia); National Council for the Development of Science and Technology; Carlos Chagas Filho Foundation; European Union community Marie Curie Fellowship Contract [302103]; [DE-AC02-07CH11359]

Slotting of concrete and rock using an abrasive suspension waterjet system

Abstract: The aim of this study was to determine the optimal traverse speed and rotational speed of a nozzle from an abrasive waterjet system for the dismantling and remodeling of concrete buildings as well as for underground excavations of urban areas The abrasive suspension waterjet system with a flow rate of 14 l/min was operated at a water pressure of 100 MPa with an abrasive consumption rate of 3 kg/min Concrete, granite, and obsidian specimens were slotted using the abrasive suspension waterjet and the effect of the traverse and rotational speed of the nozzle on the volume removal rate for each specimen was analyzed The volume removal rate increased until a certain level of the traverse speed of the nozzle was reached and then it remained the same or declined at higher traverse speeds The nozzle performed better at a rotational speed of 300 RPM than that of 500 RPM or higher in terms of economics Higher values of traverse and rotational speeds did not guarantee a higher volume removal rate of materials in abrasive waterjet slotting

Energy refinement and analysis of structures in the QM9 database via a highly accurate quantum chemical method

Abstract: A wide variety of data-driven approaches have been introduced in the field of quantum chemistry. To extend the applicable range and improve the prediction power of those approaches, highly accurate quantum chemical benchmarks that cover extremely large chemical spaces are required. Here, we report ~134 k quantum chemical calculations performed with G4MP2, the fourth generation of the G-n series in which second-order perturbation theory is employed. A single composite method calculation executes several low-level calculations to reproduce the results of high-level ab initio calculations with the aim of saving computational costs. Therefore, our database reports the results of the various methods (e.g., density functional theory, Hartree-Fock, Moller–Plesset perturbation theory, and coupled-cluster theory). Additionally, we examined the structure information of both the QM9 and the revised databases via chemical graph analysis. Our database can be applied to refine and improve the quality of data-driven quantum chemical prediction. Furthermore, we reported the raw outputs of all calculations performed in this work for other potential applications. Machine-accessible metadata file describing the reported data (ISA-Tab format)

Segmentation of Intensity Inhomogeneous Brain MR Images Using Active Contours

Abstract: Segmentation of intensity inhomogeneous regions is a well-known problem in image analysis applications This paper presents a region-based active contour method for image segmentation, which properly works in the context of intensity inhomogeneity problem The proposed region-based active contour method embeds both region and gradient information unlike traditional methods It contains mainly two terms, area and length, in which the area term practices a new region-based signed pressure force (SPF) function, which utilizes mean values from a certain neighborhood using the local binary fitted (LBF) energy model In turn, the length term uses gradient information The novelty of our method is to locally compute new SPF function, which uses local mean values and is able to detect boundaries of the homogenous regions Finally, a truncated Gaussian kernel is used to regularize the level set function, which not only regularizes it but also removes the need of computationally expensive reinitialization The proposed method targets the segmentation problem of intensity inhomogeneous images and reduces the time complexity among locally computed active contour methods The experimental results show that the proposed method yields better segmentation result as well as less time complexity compared with the state-of-the-art active contour methods