크롤링(Crawling)이란 크롤러(Crawler) 혹은 스파이더(Spider)라고 알려진 로봇을 활용하여 웹페이지를 통째로 다운로드(Bulk Download)하는 시스템을 말한다. 이와 같은 크롤링은 주로 검색엔진에서 인터넷상의 수많은 웹페이지들을 수집하고 색인화하기 위해 사용하는 경우가 일반적 이지만, 최근에는 경쟁사가 구축해놓은 데이터베이스를 빼내어 이를 자신들의 영업활동에 이용하기 위해 크롤링을 활용하는 경우가 종종 발생하고 있다. 이를 방지하기 위한 기술적 조치로서 로봇배제표준(Robot Exclusion Protocol)이 있기는 하나 이는 권고적 기준에 불과하여 실질적으로 경쟁사 로봇의 크롤링을 막을 기술적 방법이 없다. 따라서 피해 회사로서는 법적인 대응방안을 고려해야 하는데, 그 대응방안으로는 ① 저작권법 상 데이터베이스제작자의 권리 침해 주장, ② 부정경쟁방지법 제2조 제1호 카목의 부정경쟁행위 주장, ③ 채무불이행 또는 불법행위로 인한 손해배상청구, ④ 형사 고소가 있다. 이러한 대응방안들과 관련된 법적 쟁점을 본고에서 개괄적으로 살펴보고자 한다.

The objective of this study is to identify the research trend in the field of indoor environment in Korea. We collected 419 papers published in the Journal of the Korean Society for indoor environment between 2004 and 2018, and attempted to produce datasets using a topic modeling technique, Latent Dirichlet Allocation(LDA). The result of topic modeling showed that 8 topics (“VOCs investigation”, “Subway environment”, “Building thermal environment”, “School health”, “Building particulate matter”, “Asbestos risk”, “Radon risk”, “Air cleaner and treatment”) could be extracted using Gibbs sampling method. In terms of topic trends, investigation of volatile organic compounds, subway environment, school health, and building particulate matter showed a decreasing tendency, while the building thermal environment, asbestos risk, radon risk, air cleaners, and air treatment showed an increasing tendency. The results of this topic modeling could help us to understand current trends related indoor environment, and provide valuable information in developing future research and policy frameworks.

Forecasting of box office performance after a film release is very important, from the viewpoint of increase profitability by reducing the production cost and the marketing cost. Analysis of psychological factors such as word-of-mouth and expert assessment is essential, but hard to perform due to the difficulties of data collection. Information technology such as web crawling and text mining can help to overcome this situation. For effective text mining, categorization of objects is required. In this perspective, the objective of this study is to provide a framework for classifying films according to their characteristics. Data including psychological factors are collected from Web sites using the web crawling. A clustering analysis is conducted to classify films and a series of one-way ANOVA analysis are conducted to statistically verify the differences of characteristics among groups. The result of the cluster analysis based on the review and revenues shows that the films can be categorized into four distinct groups and the differences of characteristics are statistically significant. The first group is high sales of the box office and the number of clicks on reviews is higher than other groups. The characteristic of the second group is similar with the 1st group, while the length of review is longer and the box office sales are not good. The third group's audiences prefer to documentaries and animations and the number of comments and interests are significantly lower than other groups. The last group prefer to criminal, thriller and suspense genre. Correspondence analysis is also conducted to match the groups and intrinsic characteristics of films such as genre, movie rating and nation.

Inspired by small insects, which perform rapid and stable locomotion based on body softness and tripod gait, various milli-scale six-legged crawling robots were developed to move rapidly in harsh environment. In particular, cockroach’s leg compliance was resembled to enhance the locomotion performance of the crawling robots. In this paper, we investigated the effects of changing leg compliance for the locomotion performance of the small light weight legged crawling robot under various payload condition. First, we developed robust milli-scale six-leg crawling robot which actuated by one motor and fabricated in SCM method with light and soft material. Using this robot platform, we measured the running velocity of the robot depending on the leg stiffness and payload. In result, there was optimal range of the leg stiffness enhancing the locomotion ability at each payload condition in the experiment. It suggests that the performance of the crawling robot can be improved by adjusting stiffness of the legs in given payload condition.

Milli-scale crawling robots have been widely studied due to their maneuverability in confined spaces. For successful crawling, the crawling robots basically required to fulfill alternating gait with elliptical foot trajectory. The alternating gait with elliptical foot trajectory normally generates both forward and upward motion. The upward motion makes the aerial phase and during the aerial phase, the forward motion enables the crawling robots to proceed. This simultaneous forward and upward motion finally results in fast crawling speed. In this paper, we propose a novel alternating mechanism to make a crab-inspired eight-legged crawling robot. The key design strategy is an alternating mechanism based on double four-bar linkages. Crab-like robots normally employs gear-chain drive to make the opposite phase between neighboring legs. To use the gear-chain drive to this milli-scale robot system, however, is not easy because of heavy weight and mechanism complexity. To solve the issue, the double-four bar linkages has been invented to generate the oaring motion for transmitting the equal motion in the opposite phase. Thanks to the proposed mechanism, the robot crawls just like the real crab with the crawling speed of 0.57 m/s.