Korea University

About: Korea University is a education organization based out in Seoul, South Korea. It is known for research contribution in the topics: Population & Thin film. The organization has 39756 authors who have published 82424 publications receiving 1860927 citations. The organization is also known as: Bosung College & Bosung Professional College.

Nanochemistry and nanomaterials for photovoltaics.

Abstract: Nanochemistry and nanomaterials provide numerous opportunities for a new generation of photovoltaics with high solar energy conversion efficiencies at low fabrication cost. Quantum-confined nanomaterials and polymer–inorganic nanocomposites can be tailored to harvest sun light over a broad range of the spectrum, while plasmonic structures offer effective ways to reduce the thickness of light-absorbing layers. Multiple exciton generation, singlet exciton fission, photon down-conversion, and photon up-conversion realized in nanostructures, create significant interest for harvesting underutilized ultraviolet and currently unutilized infrared photons. Nanochemical interface engineering of nanoparticle surfaces and junction-interfaces enable enhanced charge separation and collection. In this review, we survey these recent advances employed to introduce new concepts for improving the solar energy conversion efficiency, and reduce the device fabrication cost in photovoltaic technologies. The review concludes with a summary of contributions already made by nanochemistry. It then describes the challenges and opportunities in photovoltaics where the chemical community can play a vital role.

Meta-Analysis of Genetic Association Studies

Abstract: The object of this review is to help readers to understand meta-analysis of genetic association study. Genetic association studies are a powerful approach to identify susceptibility genes for common diseases. However, the results of these studies are not consistently reproducible. In order to overcome the limitations of individual studies, larger sample sizes or meta-analysis is required. Meta-analysis is a statistical tool for combining results of different studies on the same topic, thus increasing statistical strength and precision. Meta-analysis of genetic association studies combines the results from independent studies, explores the sources of heterogeneity, and identifies subgroups associated with the factor of interest. Meta-analysis of genetic association studies is an effective tool for garnering a greater understanding of complex diseases and potentially provides new insights into gene-disease associations.

Botnet Detection by Monitoring Group Activities in DNS Traffic

Abstract: Recent malicious attempts are intended to get financial benefits through a large pool of compromised hosts, which are called software robots or simply "bots." A group of bots, referred to as a botnet, is remotely controllable by a server and can be used for sending spam mails, stealing personal information, and launching DDoS attacks. Growing popularity of botnets compels to find proper countermeasures but existing defense mechanisms hardly catch up with the speed of botnet technologies. In this paper, we propose a botnet detection mechanism by monitoring DNS traffic to detect botnets, which form a group activity in DNS queries simultaneously sent by distributed bots. A few works have been proposed based on particular DNS information generated by a botnet, but they are easily evaded by changing bot programs. Our anomaly-based botnet detection mechanism is more robust than the previous approaches so that the variants of bots can be detectable by looking at their group activities in DNS traffic. From the experiments on a campus network, it is shown that the proposed mechanism can detect botnets effectively while bots are connecting to their server or migrating to another server.