Earticle

With the development of information technology, digital works are copied illegally without the consent of copyright owners. The copied works are then spread rapidly across the world by online service providers (OSPs). Some OSPs ignore unlawful acts to create profits and commit additional criminal acts to hide their unlawful acts, such as changing or deleting log files. Consequently, there has been research on digital forensic technology to protect the intellectual copyrights of digital works and ensure integrity. In this paper, we propose a log data integrity support scheme for the reliable log analysis of OSP (LISS). The proposed scheme is used to monitor OSP events on the basis of reliable logs, thereby preventing unlawful acts such as filtering detour, and the omission, forgery, and alteration of log records; it also supports the integrity of log files essential for digital forensic investigations.

Recently, studies have been conducted on wearable devices that use diverse User Interface/User Experience (UI/UX) technologies. These studies have been conducted in various fields such as fitness, entertainment, medicine, manufacturing, and military. On the battlefield, information exchange plays a vital role in defeating the enemy, or establishing a dominant position during operations. This study proposes a gesture-based wearable device that enhances effective information exchange on the battlefield. This includes a gesture-based wearable device system that provides security functions according to a specific battlefield environment. The proposed model is divided into two modes: the Secure Mode, which is for battlefield situations and the Training Mode, which is for training situations. It provides a secured data transmission by sorting data accordingly. This model proposes to facilitate effective operation performance by offering wearable devices that can overcome the limitations of hand signals.

Optical properties of asbestos were analyzed with aid of chromameter and spectral sensor for wireless indoor air monitoring sensor network system. To achieve a highly selective recognition, different color filters were utilized to monitor the chrominance value and wavelength changes. LabVIEW based data matching program was developed to separate asbestos from other particulate matters by matching chrominance value and wavelength of asbestos simultaneously. We suggest these optical data for the future optical property based wireless asbestos sensor network development as a part of smart indoor air monitoring system.

Onsite monitoring of asbestos in indoor air is necessary to maintain good quality of air and secure safe environment to workers or residents in buildings. With the aid of wireless network technology, sensing data can be the key source of smart air quality monitoring system. For the selective detection of asbestos fibers from other particulate matters, water and refractive index liquids were used with several color filters for optical sensing by spectral sensor. Effect of each reagent was analyzed in terms of chrysotile concentration. It is suggested that standardized optical data of asbestos would be applicable to the ICT based smart indoor air controlling system.

To restore the ecosystem and monitor the progress, changes of fish fauna were selected for wireless ecosystem monitoring data. The habitat conditions in the test bed were categorized into three types. Two types of dam lakes in which an existing artificial vegetation island is installed in a riverbed made up of clay and sand (St. 1) and dam lakes that apply a hybrid artificial vegetation island and artificial fish reefs that complement the functions of the existing artificial vegetation island (St. 2) were constructed. The third type is an artificial wetland built on the upstream of the dam in which artificial habitats are made using artificial fish reefs, riffle frames, piling rocks, etc in an environment that has repeated multipath puddles made mainly of sand, as well as riffles and pockets of riverbeds composed of gravel and cobble stones (St. 3). When examining the fish fauna that appear per habitat condition, in the case of St. 1, a total of four families and ten species were confirmed, while four families and eleven species and three families and seventeen species were confirmed for St. 2 and St. 3, respectively. In the case of St. 2 that applies a hybrid artificial vegetation island and artificial fish reefs that complement the functions of the existing artificial vegetation island, it could provide relatively more shelter to conceal small fish compared to St. 1. In the case of St. 3 that maintains a constant water level to stabilize vegetation around the waterside and maintains various water flows and multi-porous habitat environments, it is suitable as a habitat for various life forms.

This study has been conducted with the intention of evaluating the recovery of the ecological system before and after the composition of the wetland in the regions of Lake Paro by analyzing the changes in fish with the use of site research after the composition of wetland, as well as the study of the ecological system data before composing wetland on the upstream of Lake Paro, as conducted in Yanggu-gun, Gangwon-do. This study also has the intention of being used as basic data for future management of the ecological system. The results of the research displayed 45 species of 12 families in the entire area of Lake Paro before composing the wetland. However, the region composed of wetland in the upstream of Lake Paro displayed a relatively weak number of fish with 22 species of 6 families. After the composition of wetland, 30 species of 7 families appeared and the group of fish in the wetland area is gradually stabilizing. The research within the wetland was found to have 62.4% of its entire biomass filled with an economic fish species, which equates to approximately 120 kg. This is a significantly large amount compared to the biomass generally found in other artificial lakes. Accordingly, this study is planning an improvement project in order to overcome the degeneration of water quality in certain regions in addition to the active assessment of plans which use the abundance of fish in the upstream of Lake Paro as a highly added value for tourism resource.

The fusion algorithm of multiple images of which focal lengths are different is necessary to generate visually enhanced composite image. Also, it can be employed as a pre-processing step for edge detection or feature extraction in order to improve the performances. In this paper, we suggest a pixel- based approach for the fusion of multi-focused image. The focus measure of SML(Sum of Modified- Laplacian) is slightly modified by adopting double thresholds. We firstly calculate 3-level SML comparison map which contains intermediate level for ambiguous pixels. And the final 2-level map is generated after reallocating these pixels to get more reliable result and median filtering to reduce the effect of isolated noises. The performances are evaluated by computer simulation which showed that the visual quality of composite image was successfully improved not only subjectively but objectively by the proposed fusion algorithm.

Efficient groundwater management system grows important because water resource becomes scarce every year. Recently, it is reported that groundwater level is related to occurrences of sinkholes. This research focused on implementing web-based groundwater management system with automatic problem detection functions. This system can detect malfunctions of water pump motor, water level sensor, leaky water pipe, etc.