• Title/Summary/Keyword: De-Fi

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Design and Realization of Precise Indoor Localization Mechanism for Wi-Fi Devices

  • Su, Weideng;Liu, Erwu;Auge, Anna Calveras;Garcia-Villegas, Eduard;Wang, Rui;You, Jiayi
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.10 no.12
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    • pp.5422-5441
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    • 2016
  • Despite the abundant literature in the field, there is still the need to find a time-efficient, highly accurate, easy to deploy and robust localization algorithm for real use. The algorithm only involves minimal human intervention. We propose an enhanced Received Signal Strength Indicator (RSSI) based positioning algorithm for Wi-Fi capable devices, called the Dynamic Weighted Evolution for Location Tracking (DWELT). Due to the multiple phenomena affecting the propagation of radio signals, RSSI measurements show fluctuations that hinder the utilization of straightforward positioning mechanisms from widely known propagation loss models. Instead, DWELT uses data processing of raw RSSI values and applies a weighted posterior-probabilistic evolution for quick convergence of localization and tracking. In this paper, we present the first implementation of DWELT, intended for 1D location (applicable to tunnels or corridors), and the first step towards a more generic implementation. Simulations and experiments show an accuracy of 1m in more than 81% of the cases, and less than 2m in the 95%.

Classification and Risk Analysis of Stablecoins

  • Kim, Junsang
    • Journal of the Korea Society of Computer and Information
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    • v.27 no.12
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    • pp.171-178
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    • 2022
  • In this paper, we propose a classification method according to the type and characteristics of stablecoins for risk analysis, and analyze the risk factors of each stablecoin based on this classification. First, this paper explains the technologies and ecosystem of blockchain and decentralized finance(DeFi) to understand stablecoins. In addition, the operation principle of the major stablecoins currently released and used is explained for each proposed classification type. Based on this, the risk type and risk factors of each stablecoin are derived. The risk types proposed in this paper are classified as defegging, liquidation, and exploit, and the risk factors are classified as depegging due to reliability of operator, depegging due to reliability of algorithm, depegging due to failure of algorithm, liquidation due to high volatilty and oracle attack. Based on the proposed classification, we analyze the risk factors of major stablecoins currently circulating in the crypto market.

A Scheme for Improvement of Positioning Accuracy Based on BSS in Jamming Environments (재밍 환경에서 BSS 기반 측위 정확도 향상 기법)

  • Cha, Gyeong Hyeon;Song, Yu Chan;Hwang, Yu Min;Sang, Lee Jae;Kim, Jin Young;Shin, Yoan
    • Journal of Satellite, Information and Communications
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    • v.10 no.4
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    • pp.58-63
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    • 2015
  • Due to GPS signal's vulnerability of jamming attack, various enhancement techniques are needed. Among variety of techniques, we focused on GPS receiver's anti-jamming techniques. There are many anti-jamming methods at GPS receivers which include filtering methods in time domain, frequency domain and space domain. However, these methods are ineffective to signals, which include both jamming and noise. To solve the problem, this paper proposes a jamming separation scheme by using a BSS method in a jamming environment. As separated GPS signals include noise after the jamming separation method, it is difficult to receive accurate GPS signals. For this reason, this paper also proposes a wavelet de-noising method to effectively eliminate noise. Experimental results of this paper are based on a real field test data of an integrated GPS/QZSS/Wi-Fi positioning system. At the end, the simulation result demonstrates its superiority by showing improved positioning accuracy.

랜섬웨어를 이용한 암호화폐 탈취 및 자금세탁 방법에 대한 대응방안 연구 동향 분석

  • Jo, Uk;Kim, GuemBo;Heo, ShinWook;Kim, Howon
    • Review of KIISC
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    • v.32 no.3
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    • pp.19-26
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    • 2022
  • 스마트컨트랙트를 사용하는 블록체인 2세대를 넘어오면서 블록체인 생태계는 지속적으로 성장하고 있으며, 블록체인 플랫폼 내에서 자체 발행되는 암호화폐는 다양한 수익 상품들(ICO, DeFi, NFT, Staking 등)을 등장시켰다. 암호화폐가 실물 화폐를 대체할 새로운 대안이라고 여겨지고 있지만, 최근 암호화폐를 악용한 범죄가 증가하고 있다. 특히 시스템을 감염시켜 몸값을 요구하는 랜섬웨어의 경우 기존의 현금을 요구하기보다 자금 세탁에 용이한 암호화폐로 요구하는 빈도가 증가하고 있다. 암호화폐의 경우 손쉽게 믹싱 서비스를 받을 수 있으며, 블록체인의 특성상 모든 트랜잭션을 확인할 수 있음 제3의 신뢰기관이 존재하지 않으며 모든 네트워크는 계좌로 연결되기 때문에 익명성이 보장되어 범죄자들이 자금세탁에 이용하고 있다. 본 논문을 통해 랜섬웨어에 사용되는 암호화폐 자금세탁 사례를 살펴보고 자금 세탁 시 사용되는 믹싱 서비스에 대해서 분석했다. 또한 불법 자금세탁을 식별하기 위한 기술적 연구 동향에 대해서 분석하였다.

A Proposal for the Direction of Stablecoin Regulation in Korea: Focusing on the Terra-Luna Crash (국내 스테이블코인 규제 방향 제안: 테라-루나 사태를 중심으로)

  • Hyun Ji, Choi;Seung Ah, Lee;Hee Dong, Yang
    • Journal of Information Technology Services
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    • v.21 no.6
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    • pp.127-145
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    • 2022
  • Luna Coin, which ranked eighth in the global market capitalization and established itself as a super-large stablecoin, plunged overnight, shocking the market. Therefore, this study proposed the direction of Korea's stablecoin regulation, focusing on the Terra-Luna situation, starting with the question of whether the stable coin's value, 'stability', can be trusted. The whole story of the Terra-Luna incident was examined in depth and the problems were pointed out, and the direction of domestic stable coin regulation was described based on overseas cases. In the absence of any legal guidelines for stablecoin at the moment, we hope that this study will provide a minimum stabilizer in the virtual asset market and help protect investors.

Fraudulent Smart Contract Detection Using CNN Models (CNN 모델을 이용한 사기 스마트 컨트랙트 탐지)

  • Daeun Park;Young B. Park
    • Journal of the Semiconductor & Display Technology
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    • v.22 no.3
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    • pp.73-77
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    • 2023
  • As the DeFi market continues to expand, fraudulent activities using smart contracts have also increased. HoneyPot and Ponzi schemes are well-known frauds that exploit smart contracts. While several studies have demonstrated the potential to detect smart contracts implementing these scams, there has been a lack of research focusing on simultaneously detecting both types of fraud. This paper addresses this gap by harnessing artificial intelligence to conduct experiments for the detection of both HoneyPot and Ponzi schemes. The study employs the CNN (Convolutional Neural Network) model, commonly used for malware detection. To effectively utilize CNN, the bytecode of smart contracts is transformed into visual representations. The experimental results showcase a recall rate of 0.89 and an F1 score of 0.85, indicating promising detection capabilities.

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Proteome analysis of sorghum (Sorghum bicolor L.) leaf in response to waterlogging stress

  • Yun, Min-Heon;Park, Hyeong-Jun;Jeong, Hae-Ryong;Roy, Swapan Kumar;Kwon, Soo Jeong;Chun, Hyen Chung;Cho, Seong-Woo;Woo, Sun-Hee
    • Proceedings of the Korean Society of Crop Science Conference
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    • 2017.06a
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    • pp.119-119
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    • 2017
  • Growth related to morphological and proteome response under waterlogging stress in sorghum has not yet been elucidated. Understanding how plants respond to waterlogging, the present study was conducted in seedlings leaf of the Nam-pung chal cultivar. Regarding 3-leaf stage of sorghum, stem length and plant height were slightly decreased in the treatments during ten days of waterlogging, and chlorophyll contents were also significantly different from 7 days of waterlogging treatment. The results observed from the present study were considered to be influenced by the waterlogging stress more in the $5^{th}$ leaf stage of the growth period of the sorghum, and as the waterlogging treatment progressed, the waterlogging stress gradually influenced the growth difference between the control and the treatment respectively. Using 2-DE method, a total of 74 differentially expressed protein spots were analyzed using LTQ-FT-ICR MS. Of these proteins, 45 proteins were up-regulated in the treatment group, and 32 proteins were down-regulated. Analysis of LTQ-FI-ICR MS showed that about 50% of the proteins involved in carbohydrate metabolic process, metabolic process, and cellular metabolic compound salvage were affected by stress. Malate dehydrogenase protein and Glyceraldehyde-3-phosphate dehydrogenase protein related to carbohydrate metabolic process increased the level of protein expression in both 3 and 5-leaf stage under waterlogging stress. The increased abundance of these proteins may play an active role in response to waterlogging stress. These results provide new insights into the morphological alteration and modulation of differentially expressed proteins in sorghum cultivar.

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Effect of post space preparation drills on the incidence of root dentin defects

  • Thaise Ayres Bezerra Zuli ;Orlando Aguirre Guedes ;Gislaine Figueiredo Zarza Arguello Goncalves;Aurelio Rosa da Silva Junior ;Alvaro Henrique Borges ;Andreza Maria Fabio Aranha
    • Restorative Dentistry and Endodontics
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    • v.45 no.4
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    • pp.53.1-53.11
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    • 2020
  • Objectives: This study investigated the incidence of root dentin defects after the use of different post space preparation (PSP) drills. Materials and Methods: Seventy-two bovine incisors were selected and obtained 14-mm-long root sections. Twelve roots served as controls with no intervention (G1). The 60 root canals remaining were instrumented using the crown-down technique with the ProTaper Next system and obturated using the lateral condensation technique. Specimens were randomly distributed into 5 groups (n = 12) according to the operative steps performed: G2, root canal instrumentation and filling (I+F); G3, I+F and PSP with Gates-Glidden drills; G4, I+FI+F and PSP with Largo-Peeso reamers; G5, I+F and PSP with Exacto drill; and G6, I+F and PSP with WhitePost drill. Roots were sectioned at 3, 6, 9, and 12 mm from the apex, and digital images were captured. The presence of root dentin defects was recorded. Data were analyzed by the χ2 test, with p < 0.05 considered to indicate statistical significance. Results: Root dentin defects were observed in 39.6% of the root sections. No defects were observed in G1. G5 had significantly more cracks and craze lines than G1, G2, and G3 (p < 0.05), and more fractures than G1, G2, G3, and G4 (p < 0.05). When all root sections were analyzed together, significantly more defects were observed at the 12-mm level than at the 3-mm level (p < 0.05). Conclusions: PSP drills caused defects in the root dentin. Gates-Glidden drills caused fewer root defects than Largo-Peeso reamers and Exacto drills.

STUDY ON THE INFLUENCE OF POLYOL ON MICROEMULSION GEL SYSTEM (Microemulsion gel system에 있어서 Polyol의 효과에 관한 연구)

  • Youn, J.;Jin, P.K.
    • Journal of the Society of Cosmetic Scientists of Korea
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    • v.18 no.1
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    • pp.132-149
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    • 1992
  • This study relates to a microemulsion gel which is applied in various cosmetic preparations because of good appearance, superior stability and a thin, uniform, non-greasy fi Am on the skin. Main object of this study is to elucidate the influence of polyol(clarifying agent and/or coupling agent in microemulsion) on microemulsion and to establish the optimum conditions for microemulsion gel formation in the view of superior consistency, stability, clarity and pick-up from a container. The constituents of the system are composed of water, polar ester oi1, nonionic surfactant and polyol. Using the three-component phase diagram and the tetrahedral-phase diagram, we have investigated the changes of transparence regions, consistency and resonance effect by an impact in microemulsion gel varying in polyol ratio. The results of this study showed that the variation in the content of water and couple ins agent has major influence on the microemulsion gel and the optimum formation region of microemulsion gel is the widest when the ratio of glycerine(coupling agent) to water is 63-75% It is believed that optimum use of polyol seems to be helpful to obtain the microemulsion gel containing maximum amount of oil phase with minimum amount of surfactant which is recently one of the major problems of cosmetic chemists.

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분자유전학적인 기술을 이용한 육 감별법

  • Kim, Tae-Heon
    • Proceedings of the Korean Society for Food Science of Animal Resources Conference
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    • 2000.11a
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    • pp.59-75
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    • 2000
  • This study was carried out to develop a DNA marker for identifying between Korean cattle (Hanwoo) and other breeds. First experiment was performed to isolate Hanwoo specific DNA marker at sequence characterized amplified regions (SCARs). Five breeds of cattle including Hanwoo, Holstein, Hereford, Angus and Charolais were represented with the from 8 to 20 individuals. Fourteen primers of 300 arbitrary primers of 10 nucleotides showed reproducible polymorphism across the breeds. An amplified band of 0.9 kb in the primer MG-3 showed the specificity to Holstein breed. And MG-6 and MG-12 detected the Hereford and Hanwoo specific markers at the size of 2.0 kb and 1.0 kb, respectively. A 1.0 kb band of MG-12 was cloned and sequenced. A SCAR primer was designed based on the obtained sequences. It was possible to identify the Hanwoo from Holstein breed. Second experiment was carried out to observe the genotype frequencies of MC1R in 1,044 samples of imported beef and eight different cattle breeds including Hanwoo, Holstein, Angus, Brown-Swiss, Charolais, Limousin, Simmental and Hereford. The primers for the amplification of bovine MC1R gene were designed based on a bovine MC1R gene sequence (GenBank accession no.Y19103). A size of 350 bp was amplified by polymerase chain reaction(PCR), digested with two different restriction enzyme, BsrFI and MspA II, and electrophoresed in 2.5% Metaphore agarose gel for determination of genotypes. Genotype frequencies of Hanwoo were 0.10 in E+e and 0.90 in ee. Allele ED was shown in all of Holstein and Angus breeds tested which have black coat color phenotypes. We suggested that SCAR marker and the bovine MC1R gene could be used as a DNA marker for distinguishing beef between Hanwoo and Holstein.

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