• 인터넷정보학회논문지
• /
• 제13권2호
• /
• pp.59-71
• /
• 2012

PKI에 기반을 둔 공개키 방식은 인증성과 비밀성에서 뛰어난 반면 적용된 시스템에서 인증서와 키 관리는 큰 부담이다. 또한 암복호 복잡도(complexity)가 크기 때문에 WSN(Wireless Sensor Network)의 제한된 컴퓨팅 장치에서는 사용하기가 어렵다. 이에 키관리 부담을 없앤 IBE(ID Based Encryption) 방식에서 Bilinear Pairing 방식은 수행속도가 뛰어나고 충분히 안전한 DDH(Decisional Diffie Hellman) 알고리즘으로 인/검증을 처리하는 차세대 암호방식이다. Bilinear Pairing의 이론을 구현한 Elliptic Curve Weil Pairing의 알고리즘은 단순하고 CCA(공격)에 IND/NM의 강력한 보안조건을 만족한다. 동작측면에서 Random Oracle Model을 가정한 IBE PKG는 단일 기밀문서 파일서버로 작동하는 우리의 목적 시스템의 구조에 적합하다. 따라서 본 논문는 Weil Pairing Based IBE 방식을 폐쇄적 기밀문서 유통망[2]에 적합하도록 암복호 및 인검증 알고리즘을 개선하고 본 유통망에 적용된 효율적 프로토콜을 제안한다. 본 논문은 먼저 암호화, 무결성 그리고 사용자 인증을 O(DES) 수준으로 수행하는 개선된 알고리즘을 제안하며 한 번의 암호화 처리에서 비밀성, 무결성과 인증성을 달성하는 정보를 암호문에 포함된다. 둘째 PKI 인증서의 효과를 가진 공개 식별자를 적용하여 키 노출의 위험을 줄인 개선된 IBE 방식을 제안한다.

• 인터넷정보학회논문지
• /
• 제19권2호
• /
• pp.33-41
• /
• 2018

In recent years, technology is rapidly changing to support new service consumption and distribution models in multimedia service systems and hybrid delivery of media services is a key factor for enabling next generation multimedia services. This phenomenon can lead to rapidly increasing network traffic and ultimately has a direct and aggravating effect on the user's quality of service (QOS). To address the issue, we propose a novel system architecture to provide smart hybrid media services efficiently. The architecture is designed to apply the software-defined networking (SDN) method, detect changes in traffic, and combine the data, including user data, service features, and computation node status, to provide a service schedule that is suitable for the current state. To this end, the proposed architecture is based on 2-level scheduling, where Level-1 scheduling is responsible for the best network path and a computation node for processing the user request, whereas Level-2 scheduling deals with individual service requests that arrived at the computation node. This paper describes the overall concept of the architecture, as well as the functions of each component. In addition, this paper describes potential scenarios that demonstrate how this architecture could provide services more efficiently than current media-service architectures.

• The Journal of Asian Finance, Economics and Business
• /
• 제7권10호
• /
• pp.129-139
• /
• 2020

The objective of this study is twofold: first, to investigate how organizations encourage factors that have an impact on employees' entrepreneurial behavior from employee's perspectives and experiences; and second, to discover how and why employees behave entrepreneurially within the organization. A case study method is considered as an appropriate approach to scrutinize intrapreneurial behavior because it principally concentrates on an investigation into a contemporary organizational phenomenon and context concerning entrepreneurial activities in-depth within its real situation. In data collection, an Asian multinational retail company was selected. Semi-structured interviews were carried out with 24 executive-level employees who had been working in various departments for more than 5 years. Each in-depth interview lasts for a duration of 40 to 60 minutes. The results reveal several understandings into the combination of individual-level and organizational-level factors that promote the intrapreneurial behavior and activities of the established firm in the context of Thailand. In this regard, six factors have been found as the key determinants that make an impact on innovativeness, proactiveness, and risk-taking behaviour of the employees. Those factors are personal preference, organizational stability, management support, compensation, reward system, teamwork, quality of relationship with colleagues, work autonomy and the quality of relationship with the superiors.

• ETRI Journal
• /
• 제45권5호
• /
• pp.768-780
• /
• 2023

The application of unmanned aerial vehicles (UAVs) has recently attracted considerable interest in various areas. A three-dimensional multiple-input multiple-output concentric two-hemisphere model is proposed to characterize the scattering environment around a vehicle in an urban UAV-to-vehicle communication scenario. Multipath components of the model consisted of lineof-sight and single-bounced components. This study focused on the key parameters that determine the scatterer distribution. A time-variant process was used to analyze the nonstationarity of the proposed model. Vital statistical properties, such as the space-time-frequency correlation function, Doppler power spectral density, level-crossing rate, average fade duration, and channel capacity, were derived and analyzed. The results indicated that with an increase in the maximum scatter radius, the time correlation and level-crossing rate decreased, the frequency correlation function had a faster downward trend, and average fade duration increased. In addition, with the increase of concentration parameter, the time correlation, space correlation, and level-crossing rate increased, average fade duration decreased, and Doppler power spectral density became flatter. The proposed model was compared with current geometry-based stochastic models (GBSMs) and showed good consistency. In addition, we verified the nonstationarity in the temporal and spatial domains of the proposed model. These conclusions can be used as references in the design of more reasonable communication systems.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제12권1호
• /
• pp.21-40
• /
• 2018

In this paper, we propose the distributed robust beamforming design scheme in cognitive two-way amplify-and-forward (AF) relay networks with imperfect channel state information (CSI). Assuming the CSI errors follow a complex Gaussian distribution, the objective of this paper is to design the robust beamformer which minimizes the total transmit power of the collaborative relays. This design will guarantee the outage probability of signal-to-interference-plus-noise ratio (SINR) beyond a target level at each secondary user (SU), and satisfies the outage probability of interference generated on the primary user (PU) above the predetermined maximum tolerable interference power. Due to the multiple CSI uncertainties in the two-way transmission, the probabilistic constrained optimization problem is intractable and difficult to obtain a closed-form solution. To deal with this, we reformulate the problem to the standard form through a series of matrix transformations. We then accomplish the problem by using the probabilistic approach based on two sorts of Bernstein-type inequalities and the worst-case approach based on S-Procedure. The simulation results indicate that the robust beamforming designs based on the probabilistic method and the worst-case method are both robust to the CSI errors. Meanwhile, the probabilistic method can provide higher feasibility rate and consumes less power.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제13권8호
• /
• pp.3917-3941
• /
• 2019

The recent interest in artificial intelligence and machine learning has partly contributed to an interest in the use of such approaches for hyperspectral remote sensing (HRS) imagery classification, as evidenced by the increasing number of deep framework with deep convolutional neural networks (CNN) structures proposed in the literature. In these approaches, the assumption of obtaining high quality deep features by using CNN is not always easy and efficient because of the complex data distribution and the limited sample size. In this paper, conventional handcrafted learning-based multi features based on expert knowledge are introduced as the input of a special designed CNN to improve the pixel description and classification performance of HRS imagery. The introduction of these handcrafted features can reduce the complexity of the original HRS data and reduce the sample requirements by eliminating redundant information and improving the starting point of deep feature training. It also provides some concise and effective features that are not readily available from direct training with CNN. Evaluations using three public HRS datasets demonstrate the utility of our proposed method in HRS classification.

• Journal of Animal Science and Technology
• /
• 제64권2호
• /
• pp.312-329
• /
• 2022

Feed cost is the main factor affecting the economic benefits of pig industry. Improving the feed efficiency (FE) can reduce the feed cost and improve the economic benefits of pig breeding enterprises. Liver is a complex metabolic organ which affects the distribution of nutrients and regulates the efficiency of energy conversion from nutrients to muscle or fat, thereby affecting feed efficiency. MicroRNAs (miRNAs) are small non-coding RNAs that can regulate feed efficiency through the modulation of gene expression at the post-transcriptional level. In this study, we analyzed miRNA profiling of liver tissues in High-FE and Low-FE pigs for the purpose of identifying key miRNAs related to feed efficiency. A total 212~221 annotated porcine miRNAs and 136~281 novel miRNAs were identified in the pig liver. Among them, 188 annotated miRNAs were co-expressed in High-FE and Low-FE pigs. The 14 miRNAs were significantly differentially expressed (DE) in the livers of high-FE pigs and low-FE pigs, of which 5 were downregulated and 9 were upregulated. Kyoto Encyclopedia of Genes and Genomes analysis of liver DE miRNAs in high-FE pigs and low-FE pigs indicated that the target genes of DE miRNAs were significantly enriched in insulin signaling pathway, Gonadotropin-releasing hormone signaling pathway, and mammalian target of rapamycin signaling pathway. To verify the reliability of sequencing results, 5 DE miRNAs were randomly selected for quantitative reverse transcription-polymerase chain reaction (qRT-PCR). The qRT-PCR results of miRNAs were confirmed to be consistent with sequencing data. DE miRNA data indicated that liver-specific miRNAs synergistically acted with mRNAs to improve feed efficiency. The liver miRNAs expression analysis revealed the metabolic pathways by which the liver miRNAs regulate pig feed efficiency.

• 유통과학연구
• /
• 제10권7호
• /
• pp.23-31
• /
• 2012

The purpose of this study is to investigate existing world economic science theories and concepts of sustainable development as well as create original system of criteria and indicators to assess potential and conditions for sustainable development from a regional perspective and based on the above justify proposals for public authorities to improve methods of economic regulation for regional development. To achieve the goal evolution process of existing theories and concepts of sustainable development and "green growth" have been studied in terms of its adaptation to the spatial development of Kazakhstan, comparative dynamics of natural resources consumption in the Asia-Pacific region and Kazakhstan were investigated as well. Methodology. World best theory and practice methods for assessment of the level of sustainable development of the country and some of its territories were also studied. We selected the best system of criteria and indicators for assessment of economic, social and environmental sustainability of regional systems. Methods offered in this article are based on traditional and new factors of economic development and conditions for operation of regional systems. Indicators are chosen with a glance to basic goals for future development of regions in Kazakhstan. It is recommended to use two levels of methodology offered by author, namely national and regional, and at the local level later (districts, municipalities, cities). The results. Method offered by the author has been tested based on materials and statistics of regions in Kazakhstan. Suitability and usability of the proposed system of criteria and indicators for measuring of economic, social and environmental sustainability of regional systems was proved. Based on this analysis it was found out that there are regions in Kazakhstan that differ from each other by most of key indicators of sustainable regional development and this tendency is increasing. Conclusions and recommendations. As a result of this analysis, the authors have substantiated a number of proposals on methods of analysis to be used, improvement of methods of regional development, implementation of institutional reforms, as well as improvement of regional statistics. This article provides recommendations that can be successfully used in the management practices by public authorities to implement a new regional strategy focused on sustainable development in future.

• 생태와환경
• /
• 제55권4호
• /
• pp.406-414
• /
• 2022

Bolboschoenus planiculmis has been acknowledged as a key species in whooper swans (Cygnus cygnus) habitat by providing food for this migratory waterfowl. B. planiculmis wetlands are being degraded by water shortages and salinization caused by anthropogenic activities and climate changes. In 2004, the distribution of B. planiculmis in the tidal flats of the Nakdong Estuary was 2,475,568 m², and in 2021, the distribution area was 798,731 m², which decreased by 32.3%. In order to restore the degraded B. planiculmis wetlands, shoot transplantation and seed sowing were tentatively used in three places with different salinity and water levels. The average density per unit area in September at the optimal growth period after planting were A (fresh water level 50 cm) 58±15.65 m^-2, B (brackish water level 0~5 cm) 188±63.83 m^-2, C (brackish water level 0 cm or less) 188±45.13 m^-2. The tubers were observed as A 0 g dw m^-2, B 25.32±2.94 g dw m^-2, and C 13.39±0.91 g dw m^-2. Tubers were distributed in the soil, with only 3.0% at the 10~20 cm depth but 97.0% at the 0~10 cm depth. In contrast, the germination rate of B. planiculmis seeds was observed to be 0%. Results of this study provide technical support for the restoration of B. planiculmis wetland and the improvement in the quality of whooper swans habitat.

• 한국대기환경학회지
• /
• 제28권6호
• /
• pp.666-674
• /
• 2012

The purpose of this study is to propose management strategies to lower the level of $PM_{10}$ concentration. First, this study analyzes the characteristics of particle sizes in three different areas, the residential, the roadside, and the industrial areas. Second, it has examined the size of particles which can influence on the increase of $PM_{10}$ concentration level. The distribution of particle size for $PM_{10}$ concentration was not different by regions. The highest portion in the observed $PM_{10}$ is near $0.3{\mu}m$. In addition, both near $2.5{\mu}m$ and near $5.0{\mu}m$ are found higher in portion. The fractions of $PM_{1.0}$ and $PM_{2.5}$ in $PM_{10}$ are 68.2% and 75.8% respectively. The fraction of $PM_{1.0}$ in $PM_{2.5}$ is 89.8%. The particle diameters contributed to the increase of $PM_{10}$ concentration are different by regions. In the residential area, the sizes of near $0.6{\mu}m$ and near $3.3{\mu}m$ particles are found to be the cause for the increase of $PM_{10}$ concentration level. However the particle sizes for the increase of $PM_{10}$ concentration level are $0.8{\mu}m$ and $0.5{\mu}m$ in roadside and industrial area respectively. Therefore, fine particles are found as the key factors to raise $PM_{10}$ concentration level in the two areas, while both fine and coarse particles are in the residential areas. When examined the $PM_{10}$ concentration level change, it was categorized by two different time zones, the high concentration level time and the lower concentration time. In high concentration time, the $PM_{10}$ concentration has increased in the morning in the residential and roadside areas. On the contrary, the level has increased in the evening in the industrial area. In low concentration time, the level of $PM_{10}$ concentration in the roadside area is significantly higher in the morning than the concentration level of other times. There is no significantly different concentration level found in the both residential and industrial areas throughout the day.