Isolation and characterization of a high-growth-rate strain in Pyropia yezoensis induced by ethyl methane sulfonate

Lee, Hak-Jyung,Choi, Jong-il Kluwer Academic Publishers 2018 Journal of applied phycology Vol.30 No.4

<P>Chemical treatment is a powerful way to induce mutagenesis and has been applied in various studies. Here we describe the isolation of a high-growth-rate mutant Pyropia yezoensis induced by ethyl methane sulfonate (EMS) exposure. The mutation was induced using EMS on the thallus. When the gametophytic blades were treated with 2 mM EMS, a high-growth mutant strain PyE2 was obtained. Physiological and proteomic analysis were conducted to compare this strain with the wild-type (WT). The results demonstrated that the growth rate of mutant strain PyE2 was significantly higher than that of the WT in the laboratory. By measuring the biomass of three generations, it was confirmed that the high growth rate of the mutant strain was maintained. The photochemical efficiency and phycoerythrin content of the mutant strain PyE2 were found to be higher than those of the WT. Analysis of random amplified polymorphic DNA also revealed genetic modifications in the mutant. Extracted proteins from PyE2 grown under culture conditions were separated using two-dimensional gel electrophoresis, and changes in the proteome of the blades were analyzed. Approximately 302 protein species were detected, of which 19 were differentially expressed in the mutant and the WT. These results indicate that the growth rate of PyE2 was increased due to the upregulation of proteins potentially involved in photosynthesis and protein synthesis. The use of mutagenesis methods may help to develop new cultivars useful in the nori industry.</P>

High-Speed Positioning and Automatic Updating Technique Using Wi-Fi and UWB in a Ship

Kluwer Academic Publishers 2017 WIRELESS PERSONAL COMMUNICATIONS Vol. No.

<P>Wi-Fi-based fingerprint indoor localization is widely used owing to its low cost and the rapid increase of its network, even though this method requires radio map creation and maintenance which accompany time-consuming and continuous monitoring. Considering these advantages and limitations and the fact that conditions in a ship are more likely to suffer from scattered and distorted wireless signals caused by a special structure of ship, this paper presents an efficient shipboard positioning technique using existing shipboard Wi-Fi network and additional ultra-wide band (UWB) nodes which are the IEEE 802.15.4a modules capable of precise positioning. The proposed method can reduce computational complexity that can occur during signal acquisition and automatically create and update more rapid and precise modified radio maps, by fusing the distance information obtained from UWB and Wi-Fi fingerprint. In addition, the advantages of proposed system are that selective computation technique which can remove weak signals is applied to reduce the amount of computation needed to create modified radio map and the positioning errors can be improved by assigning a positioning weight to each preceding position value because the same signal intensities can occur in other areas within the Wi-Fi network. The efficiency of the proposed method and its comparison with other methods are demonstrated.</P>

Mining Based Urban Climate Disaster Index Service According to Potential Risk

Kluwer Academic Publishers 2016 WIRELESS PERSONAL COMMUNICATIONS Vol. No.

<P>As weather observation technology develops, natural disasters such as typhoon, earthquake, and heavy snow can be easily monitored as well as basic weather elements such as temperature, precipitation, wind, and air pressure. Advanced IT enables the statistical analysis of weather information and converged weather service. A variety of studies are being performed to analyze and utilize weather, temperature, humidity, etc. by using these IT convergence technology and weather observation technology. Meteorological Administration develops and provides the weather index to help the daily life of people by using weather elements. Influence of weather on life, industry and health is calculated by using indexes to provide weather index service. The weather index services are classified into life weather index, industry weather index and health weather index according to use. Weather indexes are correlated to each other as they are calculated by using common weather elements and advanced weather index service can be provided by analyzing these association patterns. The conventional service shows difference from the actual weather situation around the user as it is calculated by using weather information measured at the observation points. To improve this, personalized service can be provided by using context information-based ontology modeling and reasoning engine. This paper intends to propose a mining-based urban climate disaster index service according to potential risk. The proposed method constructs XML files provided by Meteorological Administration and Open Data Portal in the form of a tree by using the DOM parser and preprocesses it. Emerging risks are selected among socially important issues by using disaster-related keywords and early detected by using the previously developed WebBot. The collected weather indexes are normalized to construct weather index transactions. FP-Tree for mining is used to construct the weather index frequent pattern tree and extract association sets. Natural disaster risk, social disaster risk, and life safety risk are calculated from the extracted association sets. Urban climate disaster index is calculated by considering common elements among potential risks, weather information, disaster information, and emerging risk. Experimental application is tried to develop and verify its logical validity and effectiveness of urban climate disaster index monitoring. Therefore, urban climate disaster index service detects, predicts, and analyzes the trend of various risks such as disasters and safety accidents. It is also used for decision in disaster management in order to determine risks based on natural, man-made, and social disasters and predict future progress and direction of spread.</P>

Slope Based Intelligent 3D Disaster Simulation Using Physics Engine

Kim, Joo-Chang,Jung, Hoill,Kim, Sungho,Chung, Kyungyong Kluwer Academic Publishers 2016 WIRELESS PERSONAL COMMUNICATIONS Vol. No.

<P>In the modern society, the forms of disasters are getting larger and more diverse by abnormal weather phenomena due to rapid social changes. As human and economic damage is increasing by these disasters, interest in disaster observation and prevention is increasing and studies have been carried out in various fields. In order to minimize disaster damage, National Disaster Information Center provides disaster-related information such as disaster situations, risk index, local situation and so on. At present, however, various descriptive studies on action tips in the event of a disaster, disaster alert, disaster communications network have been in progress but there are few studies on prediction or simulation for preventing disasters etc. Therefore, this paper proposes a slope-based intelligent 3D disaster simulation using a physics engine. The proposed method is to infer a variety of disaster situations that may occur in reality through ontology and apply it to 3D simulation. Disaster situation ontology constitutes context information of outside, inside, disasters etc. and generates rule bases using Jena 2.0 inference engine. Inference results are derived in the form of XML and applicable to a variety of devices. The expression of 3D simulation virtual space is divided into interior and exterior. Interior constitutes the index information based on actually measured terrain and then expresses it into 3D compound type terrain data. Exterior expresses six planes into a hexahedron by using Sky Box technique. Simulation operates object collision, movement, surroundings etc. in real time by using a physics engine and represents a disaster situation in 3D virtual space by using particles function. Based on ontology based context awareness, environment context information on slope, including landslides, snow, rain, fogs, fire, explosion, and smoke, is developed into the slope based intelligent 3D disaster simulation. As a result, depending on geomorphic characteristics, disaster management service can realistically and visually be offered to users in 3D virtual reality. In addition, it is possible to experimentally apply disaster situations virtually through 3D virtual reality, and thereby judge their potential risk.</P>

Electrochemical detection of high-sensitivity CRP inside a microfluidic device by numerical and experimental studies.

Lee, Gyudo,Park, Insu,Kwon, Kiwoon,Kwon, Taeyun,Seo, Jongbum,Chang, Woo-Jin,Nam, Hakhyun,Cha, Geun Sig,Choi, Moon Hee,Yoon, Dae Sung,Lee, Sang Woo Kluwer Academic Publishers 2012 Biomedical microdevices Vol.14 No.2

<P>The concentration of C-reactive protein (CRP), a classic acute phase plasma protein, increases rapidly in response to tissue infection or inflammation, especially in cases of cardiovascular disease and stroke. Thus, highly sensitive monitoring of the CRP concentration plays a pivotal role in detecting these diseases. Many researchers have studied methods for the detection of CRP concentrations such as optical, mechanical, and electrochemical techniques inside microfluidic devices. While significant progress has been made towards improving the resolution and sensitivity of detection, only a few studies have systematically analyzed the CRP concentration using both numerical and experimental approaches. Specifically, systematic analyses of the electrochemical detection of high-sensitivity CRP (hsCRP) using an enzyme-linked immunosorbant assay (ELISA) inside a microfluidic device have never been conducted. In this paper, we systematically analyzed the electrochemical detection of CRP modified through the attachment of an alkaline phosphatase (ALP-labeled CRP) using ELISA inside a chip. For this analysis, we developed a model based on antigen-antibody binding kinetics theory for the numerical quantification of the CRP concentration. We also experimentally measured the current value corresponding to the ALP-labeled CRP concentration inside the microfluidic chip. The measured value closely matched the calculated value obtained by numerical simulation using the developed model. Through this comparison, we validated the numerical simulation methods, and the calculated and measured values. Lastly, we examined the effects of various microfluidic parameters on electrochemical detection of the ALP-labeled CRP concentration using numerical simulations. The results of these simulations provide insight into the microfluidic electrochemical reactions used for protein detection. Furthermore, the results described in this study should be useful for the design and optimization of electrochemical immunoassay chips for the detection of target proteins.</P>

Two-Stage Preamble Detection Scheme for IR-UWB Coexistence

Kluwer Academic Publishers 2017 WIRELESS PERSONAL COMMUNICATIONS Vol. No.

Novel assessment method for accessing private data in social network security services

Park, J. H.,Sung, Y.,Sharma, P. K.,Jeong, Y. S.,Yi, G. Kluwer Academic Publishers 2017 The Journal of supercomputing Vol.73 No.7

<P>Social network services (SNSs) have become one of the core Internet-based application services in recent years. Through SNSs, diverse kinds of private data are shared with users' friends and SNS plug-in applications. However, these data can be exposed via abnormal private data access. For example, the addition of fake friends to a user's account is one approach to gain access to a private user's data. Private user data can be protected from being accessed by using an automated method to assess information. This paper proposes a method that evaluates private data accesses for social network security. By defining normal private data access patterns in advance, abnormal private data access patterns can be exposed. Normal private data access patterns are generated by analyzing all of the consecutive private data accesses of users based on Bayesian probability. We have proven the effectiveness of our approach by conducting experiments where the private data access signals of Twitter accounts were collected and analyzed.</P>

Effects of CEE and Feedback Error on Performance for AF-ORS with PSA-CE Schemes Over Quasi-Static Rayleigh Fading Channels

Kluwer Academic Publishers 2017 WIRELESS PERSONAL COMMUNICATIONS Vol. No.

Radio Propagation Model Considering Antenna Beam Tilt with Application to Small Cells

Kluwer Academic Publishers 2017 WIRELESS PERSONAL COMMUNICATIONS Vol. No.

FFT-Based Channel Estimation Scheme in LTE-A Downlink System

Kluwer Academic Publishers 2017 WIRELESS PERSONAL COMMUNICATIONS Vol. No.