2016, Vol.11, No.6

Journal of Knowledge Information Technology and Systems 2023 KCI Impact Factor : 0.89

pISSN : 1975-7700 / eISSN : 2734-0570
https://journal.kci.go.kr/kkits

Recently, pen-type input devices have been widely used for recognizing the handwriting of a user and conveying handwritten data to electronic devices. Many pen-type input devices adopt an inertia measurement unit (IMU), which is fabricated by MEMS technology, to sense its motion. However, it is not easy to accurately measure the handwritten trajectory for a period of time with the MEMS IMU because the amount of IMU errors (dynamic drift, static drift, and stochastic drift) rapidly increases with time. The one of the most important factors in pen-type input devices based on MEMS IMU is to measure and to compute the real handwritten trajectory estimated by the IMU. Therefore, in this paper we design and implement a measurement experimental device to determine the real handwritten trajectory, thereby allowing intuitive human-computer interaction. In order to precisely investigate the real handwritten trajectory of a user, we use a haptic device (PHANToMTM) which is a mechanical device that is specifically used for providing haptic feedback to a user. After that, we attach the pen-type device to the gimbal of the PHANToMTM to measure the trajectories at the same time. Experiments are conducted to compare the handwritten trajectory from the IMU and the trajectory from haptic device. From the results, it is considered that the motion of the pen-type device is almost same as that of PHANToMTM, and furthermore it becomes writing posture.

As training able and talented individuals and enhancing the recruitment rate of the college graduates have increasingly become an important factor in the era of limitless competition, the development and dissemination of National Competency Standards (NCS) has been actively pushing by the government. The purpose of the study was to understand the effectiveness of the NCS recruitment system by the comparison of traditional recruitment system. A survey was conducted with 202 valid office workers who worked in public and private companies hired from either traditional (97 participants) or the NCS (105 participants) recruitment systems. To address the research questions, the differences of major-related variables (major-job similarity and job usefulness) and job-related variables (job fit, organization fit, job satisfaction) were asked among the participants to figure out the research questions. As a result, there were significant differences in the major-job similarity, job usefulness, job fit, and job satisfaction. However, organization fit did not show statistical differences. The results implied the NCS-based recruitment system helped recruit appropriate human resources and the system focused mainly on the individual aspect, not organization one. Since, the NCS has not cumulated sufficient data for the effectiveness of the system, it is required to collect sufficient cases and experiences for better practice.

Today, big data environments in which a large quantity of data are produced and collected are managed based on cloud computing. In addition, the new data environment using big data is leading the development in a variety of information and service technologies in today’s society. However, this network environment can be vulnerable to session hijacking attacks, which exploit a valid computer session and use it to attack a server or computer system. This study classified different levels of stable services and sensitive information during session hijacking in a cloud computing environment in which various network services are provided, and encrypted the relevant services. To do so, the levels of values of session interruption data and access data were classified and combined in order to create an encryption bit pattern for each level. And then, the service levels related to data request at the time of an attack were analyzed so that the data are sent after encryption by using the bit pattern, instead of providing instant service. As a result, this study proposed a security model that improved both stability and availability of service against illegal access that can be found in the conventional network environment.