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이종 IoT 데이터 표현을 위한 그래프 모델: 스마트 캠퍼스 관리 사례 연구 (A Graph Model of Heterogeneous IoT Data Representation : A Case Study from Smart Campus Management)

  • 뉘엔반퀴엣;뉘엔휴쥐;뉘엔양쯔엉;김경백
    • 한국정보처리학회:학술대회논문집
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    • 한국정보처리학회 2018년도 추계학술발표대회
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    • pp.984-987
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    • 2018
  • In an Internet of Thing (IoT) environment, entities with different attributes and capacities are going to be connected in a highly connected fashion. Specifically, not only the mechanical and electronic devices but also other entities such as people, locations and applications are connected to each other. Understanding and managing these connections play an important role for businesses, which identify opportunities for new IoT services. Traditional approach for storing and querying IoT data is used of a relational database management system (RDMS) such as MySQL or MSSQL. However, using RDMS is not flexible and sufficient for handling heterogeneous IoT data because these data have deeply complex relationships which require nested queries and complex joins on multiple tables. In this paper, we propose a graph model for constructing a graph database of heterogeneous IoT data. Graph databases are purposely-built to store highly connected data with nodes representing entities and edges representing the relationships between these entities. Our model fuses social graph, spatial graph, and things graph, and incorporates the relationships among them. We then present a case study which applies our model for representing data from a Smart Campus using Neo4J platform. Through the results of querying to answer real questions in Smart Campus management, we show the viability of our model.

Line Impedance Estimation Based Adaptive Droop Control Method for Parallel Inverters

  • Le, Phuong Minh;Pham, Xuan Hoa Thi;Nguyen, Huy Minh;Hoang, Duc Duy Vo;Nguyen, Tuyen Dinh;Vo, Dieu Ngoc
    • Journal of Power Electronics
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    • 제18권1호
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    • pp.234-250
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    • 2018
  • This paper presents a new load sharing control for use between paralleled three-phase inverters in an islanded microgrid based on the online line impedance estimation by the use of a Kalman filter. In this study, the mismatch of power sharing when the line impedance changes due to temperature, frequency, significant differences in line parameters and the requirements of the Plug-and-Play mode for inverters connected to a microgrid has been solved. In addition, this paper also presents a new droop control method working with the line impedance that is different from the traditional droop algorithm when the line impedance is assumed to be pure resistance or pure inductance. In this paper, the line impedance estimation for parallel inverters uses the minimum square method combined with a Kalman filter. In addition, the secondary control loops are designed to restore the voltage amplitude and frequency of a microgrid by using a combined nominal value SOGI-PLL with a generalized integral block and phase lock loop to monitor the exact voltage magnitude and frequency phase at the PCC. A control model has been simulated in Matlab/Simulink with three voltage source inverters connected in parallel for different ratios of power sharing. The simulation results demonstrate the accuracy of the proposed control method.

An Automatic Diagnosis System for Hepatitis Diseases Based on Genetic Wavelet Kernel Extreme Learning Machine

  • Avci, Derya
    • Journal of Electrical Engineering and Technology
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    • 제11권4호
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    • pp.993-1002
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    • 2016
  • Hepatitis is a major public health problem all around the world. This paper proposes an automatic disease diagnosis system for hepatitis based on Genetic Algorithm (GA) Wavelet Kernel (WK) Extreme Learning Machines (ELM). The classifier used in this paper is single layer neural network (SLNN) and it is trained by ELM learning method. The hepatitis disease datasets are obtained from UCI machine learning database. In Wavelet Kernel Extreme Learning Machine (WK-ELM) structure, there are three adjustable parameters of wavelet kernel. These parameters and the numbers of hidden neurons play a major role in the performance of ELM. Therefore, values of these parameters and numbers of hidden neurons should be tuned carefully based on the solved problem. In this study, the optimum values of these parameters and the numbers of hidden neurons of ELM were obtained by using Genetic Algorithm (GA). The performance of proposed GA-WK-ELM method is evaluated using statical methods such as classification accuracy, sensitivity and specivity analysis and ROC curves. The results of the proposed GA-WK-ELM method are compared with the results of the previous hepatitis disease studies using same database as well as different database. When previous studies are investigated, it is clearly seen that the high classification accuracies have been obtained in case of reducing the feature vector to low dimension. However, proposed GA-WK-ELM method gives satisfactory results without reducing the feature vector. The calculated highest classification accuracy of proposed GA-WK-ELM method is found as 96.642 %.

액상법에 의한 Carbon Nanofiber 제조 및 특성 분석 (Preparation and Characterization of Carbon Nanofiber from Liquid Phase Carbon Source)

  • 이원우;신채호;박한성;최영민;류병환
    • 한국재료학회지
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    • 제18권10호
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    • pp.564-570
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    • 2008
  • Nanostructured carbon materials have been found to have applications in fuel cell electrodes, field emitters, electronic devices, sensors and electromagnetic absorbers, etc. Especially, the CNF (carbon nanofiber) can be expected to play an important role in catalyst supporters for fuel cell electrodes and chemical reactions. In this study, we synthesized CNF from a liquid phase carbon source by a solvothermal method. In addition, we studied the parameters for the preparation of CNF by controlling heating and cooling rates, synthesis temperature and time. We characterized the CNF by SEM/TEM, XRD, Raman spectroscopy and EDS. We found that the heating and cooling rate have strong effects on the CNF formation and growth. We were able to prepare the best CNF at the heating rate of $10^{\circ}$/min, at $450^{\circ}$ for 60 minutes, and at the cooling rate of $4^{\circ}$/min. As a result of Raman spectra, we found that the sample showed two characteristic Raman bands at ${\sim}1350cm^{-1}$ (D band) and ${\sim}1600cm^{-1}$ (G band). The G band indicates the original graphite feature, but the D band has been explained as a disorder feature of the carbon structure. The diameter and length of the CNF was about $15{\sim}20nm$, and over $1{\mu}$, respectively.

시설에 거주하는 미혼모에게 적용된 우울 및 불안 감소를 위한 중재의 통합적 문헌고찰 (An Integrative Review on the Contents and Effectiveness of Depression and Anxiety Interventions applied to Unmarried Mothers Living in Residential Facilities)

  • 권태균;이금희;강은별;문정이;정주애
    • Perspectives in Nursing Science
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    • 제16권1호
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    • pp.45-54
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    • 2019
  • Purpose: The purposes of this study was to review the literature on intervention for treating anxiety and depression among unmarried mothers living in facilities, and to understand core that could promote the development of more effective interventions. Methods: Key words in English and Korean were used to search through eight electronic databases-PubMed, Cochrane Library, EMBASE, CINAHL, RISS, DBpia, NDSL, and the National Assembly Library. Results: Ten studies were ultimately selected for the integrative review and were evaluated in terms of contextual and methodological quality. The studies consisted of seven quasi-experimental studies and three case report studies. The selected studies utilized music, art, forest therapy, dancing, education, and play programs to change mothers' perceptions, emotions, and behavior and to improve their relationships with their babies or others. Conclusion: It is important to consider mothers' self-awareness and emotional expression, and to improve their relationships with their babies or others as core elements when developing intervention programs for anxiety and/or depression among unmarried mothers living in residential facilities.

Blockchain Technology for Combating Deepfake and Protect Video/Image Integrity

  • Rashid, Md Mamunur;Lee, Suk-Hwan;Kwon, Ki-Ryong
    • 한국멀티미디어학회논문지
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    • 제24권8호
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    • pp.1044-1058
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    • 2021
  • Tempered electronic contents have multiplied in last few years, thanks to the emergence of sophisticated artificial intelligence(AI) algorithms. Deepfakes (fake footage, photos, speech, and videos) can be a frightening and destructive phenomenon that has the capacity to distort the facts and hamper reputation by presenting a fake reality. Evidence of ownership or authentication of digital material is crucial for combating the fabricated content influx we are facing today. Current solutions lack the capacity to track digital media's history and provenance. Due to the rise of misrepresentation created by technologies like deepfake, detection algorithms are required to verify the integrity of digital content. Many real-world scenarios have been claimed to benefit from blockchain's authentication capabilities. Despite the scattered efforts surrounding such remedies, relatively little research has been undertaken to discover where blockchain technology can be used to tackle the deepfake problem. Latest blockchain based innovations such as Smart Contract, Hyperledger fabric can play a vital role against the manipulation of digital content. The goal of this paper is to summarize and discuss the ongoing researches related to blockchain's capabilities to protect digital content authentication. We have also suggested a blockchain (smart contract) dependent framework that can keep the data integrity of original content and thus prevent deepfake. This study also aims at discussing how blockchain technology can be used more effectively in deepfake prevention as well as highlight the current state of deepfake video detection research, including the generating process, various detection algorithms, and existing benchmarks.

Sinus floor elevation and simultaneous implant placement in fresh extraction sockets: a systematic review of clinical data

  • Ekhlasmandkermani, Mehdi;Amid, Reza;Kadkhodazadeh, Mahdi;Hajizadeh, Farhad;Abed, Pooria Fallah;Kheiri, Lida;Kheiri, Aida
    • Journal of the Korean Association of Oral and Maxillofacial Surgeons
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    • 제47권6호
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    • pp.411-426
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    • 2021
  • Combining different procedures to reduce the number of surgical sessions and patient discomfort in implant placement and sinus floor elevation has been recommended, and evidence supports good outcomes. The aim of this study was to review the results of clinical studies on sinus floor elevation through extraction sockets and simultaneous immediate posterior implant placement. An electronic search was carried out in PubMed, Scopus, and Web of Science to find English articles published in or before August 2020. A manual search was also performed. Titles, abstracts, and the full-text of the retrieved articles were studied. Thirteen studies met our eligibility criteria: 6 retrospective case series, 3 case reports, 2 prospective cohort case-series, 1 prospective case series, and 1 randomized controlled trial. Overall, 306 implants were placed; 2 studies reported implant survival rates of 91.7% and 98.57%. The others either did not report the survival rate or reported 100% survival. Sinus floor elevation through a fresh extraction socket and simultaneous immediate implant placement appears to be a predictable modality with a high success rate. However, proper case selection and the expertise of the clinician play fundamental roles in the success of such complex procedures.

The Efficacy of Visual Activity Schedule Intervention in Reducing Problem Behaviors in Children With Attention-Deficit/Hyperactivity Disorder Between the Age of 5 and 12 Years: A Systematic Review

  • Thomas, Naveena;Karuppali, Sudhin
    • Journal of the Korean Academy of Child and Adolescent Psychiatry
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    • 제33권1호
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    • pp.2-15
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    • 2022
  • Objectives: Children with attention-deficit/hyperactivity disorder (ADHD) tend to be noisy and violate rules with their disruptive behaviors, resulting in greater difficulties with off-task behaviors and being at risk for social refusal. The visual activity schedule (VAS) intervention program is a frequently used method to teach multiple skills involving on-task, use of schedules, transition behaviors, social initiation, independent play skills, classroom skills, and academic skills. The current systematic review aimed to examine the efficacy of using VAS intervention in reducing problem behaviors in children with ADHD between 5 and 12 years of age. Methods: Systematic searches were conducted using two electronic databases (PubMed and Scopus) to identify relevant studies published in English between 2010 and 2020. Four studies met the inclusion criteria: two studies examined the effect of schedule-based tasks and the use of an iPad on classroom skills, while the other two examined randomized clinical trials (RCTs) of psychosocial treatment for ADHD inattentive type and a cross-sectional study examined the impact of the group size on task behavior and work productivity in children with ADHD. Results: The findings indicate that the interventions used in all four studies could lead to increased satisfaction among participants and parents, as well as a reduction in problem behavior. In terms of the research indicators, the RCT had low quality, while the others were of high quality. Conclusion: A larger number of studies and the ADHD clinical population would help to increase the generalizability of future reviews of treatments in this context.

기업의 사회적 책임이(CSR) 브랜드 충성도에 미치는 영향 - 브랜드 신뢰와 e-WOM의 매개효과를 중심으로 (The Effect of Corporate Social Responsibility on Brand Loyalty-The Mediating Effect of Brand Trust and e-WOM)

  • 진사사;이염남
    • 한국콘텐츠학회논문지
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    • 제21권11호
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    • pp.294-306
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    • 2021
  • 브랜드 경쟁 시대에 기업은 소비자의 브랜드 신뢰도 및 충성도를 높이기 위해 많은 노력을 하고 있다. 기업의 사회적 책임이 기업의 브랜드 신뢰도 및 충성도를 높이는데 큰 역할을 하고 있다. 한편, 현재의 Covid-19 유행은 기업의 디지털 전환 속도를 가속화 했으며 소비자가 기업의 온라인 평가에 더 많은 관심을 기울이게 만들었다. 본 연구는 중국 소비자 시장을 기반으로 기업의 사회적 책임, 인터넷 입소문(e-WOM), 브랜드 신뢰를 통해 브랜드 충성도에 어떠한 영향을 미치는지에 대해 연구하였다. 이러한 연구목적을 확인하기 위해 본 논문에서는 중국과 한국에 있는 중국인 소비자를 대상으로 설문 조사를 실시하였다. 총 469개의 유효 설문이 사용되었고 수집된 데이터는 SPSS21.0를 활용해 실증 분석하였다. 연구 결과는 다음과 같이 요약된다. (1) 기업의 사회적 책임은 브랜드 신뢰에 긍정적인 영향을 미친다. (2) 기업의 사회적 책임은 브랜드 충성도에 긍정적인 영향을 미친다. (3) 브랜드 신뢰는 브랜드 충성도에 긍정적인 영향을 미친다. (4) 브랜드 신뢰와 인터넷 입소문은 기업의 사회적 책임과 브랜드 충성도의 사이에 긍정적인 매개효과가 나타낸다.

무선이어폰 품질 표준화를 위한 오디오 재생 시간 측정법에 관한 연구 (A Study on Measurement Method of Audio Playback Time for Standardization of Wireless Earphone Quality)

  • 한문환;정인호
    • 한국인터넷방송통신학회논문지
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    • 제22권1호
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    • pp.141-151
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    • 2022
  • 무선이어폰은 스마트기기(휴대폰 등)와 함께 소비가 많은 제품으로 일반이어폰 대비 선 꼬임이 없고 편리하여 다양한 가격대의 제품이 시장에 출시되어 있다. 하지만 무선이어폰 품질에 대한 정보는 부족하여 소비자는 브랜드 인지도에 따라 제품을 구매하는 경향이 높고, 제조사는 품질 평가를 위한 측정 방법에 대한 표준이 부재하여 제품마다 다른 기준으로 소비자에게 정보를 전달하고 있다. 특히 무선이어폰의 재생 시간은 소비자의 구매에 직접적인 영향을 줄 수 있는 요소로서 이를 제대로 측정하기 위한 표준화된 시험 방법 마련이 필요하다. 본 논문에서는 무선이어폰에 대한 현황과 관련 표준 동향을 소개하고 이를 통해 개발된 무선이어폰 오디오 재생 시간 측정법을 제시하고자 한다. 또한 본 측정법은 국가표준인 한국산업표준(KS)으로 제정 후 국제표준(IEC)으로 제안할 예정이다.