• 제목/요약/키워드: Data-driven Research

검색결과 731건 처리시간 0.024초

Integrated Power Optimization with Battery Friendly Algorithm in Wireless Capsule Endoscopy

  • Mehmood, Tariq;Naeem, Nadeem;Parveen, Sajida
    • International Journal of Computer Science & Network Security
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    • 제21권11호
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    • pp.338-344
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    • 2021
  • The recently continuous enhancement and development in the biomedical side for the betterment of human life. The Wireless Body Area Networks is a significant tool for the current researcher to design and transfer data with greater data rates among the sensors and sensor nodes for biomedical applications. The core area for research in WBANs is power efficiency, battery-driven devices for health and medical, the Charging limitation is a major and serious problem for the WBANs.this research work is proposed to find out the optimal solution for battery-friendly technology. In this research we have addressed the solution to increasing the battery lifetime with variable data transmission rates from medical equipment as Wireless Endoscopy Capsules, this device will analyze a patient's inner body gastrointestinal tract by capturing images and visualization at the workstation. The second major issue is that the Wireless Endoscopy Capsule based systems are currently not used for clinical applications due to their low data rate as well as low resolution and limited battery lifetime, in case of these devices are more enhanced in these cases it will be the best solution for the medical applications. The main objective of this research is to power optimization by reducing the power consumption of the battery in the Wireless Endoscopy Capsule to make it battery-friendly. To overcome the problem we have proposed the algorithm for "Battery Friendly Algorithm" and we have compared the different frame rates of buffer sizes for Transmissions. The proposed Battery Friendly Algorithm is to send the images on average frame rate instead of transmitting the images on maximum or minimum frame rates. The proposed algorithm extends the battery lifetime in comparison with the previous baseline proposed algorithm as well as increased the battery lifetime of the capsule.

토픽모델링 기반의 학교폭력 사례 유형 연구 (A Study on the Categorizes of School Bullying through Topic Modelling Method)

  • 신승기
    • 한국정보교육학회:학술대회논문집
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    • 한국정보교육학회 2021년도 학술논문집
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    • pp.181-185
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    • 2021
  • 본 연구는 학교현장에서 지속적으로 강조되고 있는 학교폭력 예방을 위한 방안을 도출하기 위한 노력의 일환으로 최근의 학교폭력 관련 이슈화되고 있는 주제를 데이터과학의 관점으로 살펴보고자 하였다. 특히, 온라인 SNS데이터를 활용하여 학교폭력 관련 게시물을 크롤링하고 토픽모델링 방법을 활용하여 유형별 특징을 살펴보고자 하였다. 토픽모델링 분석을 통해 도출된 주제별 키워드를 유형별로 정리한 결과를 통해 대체로 학교폭력의 피해 예방과 가해자 처벌 및 조치사안에 대한 내용으로 크게 3가지의 내용으로 구분할 수 있었다. 첫째, 학교폭력 예방활동에 대한 내용으로서 학교폭력예방을 위한 전문 기구들의 역할에 대한 내용이다. 둘째, 학교폭력에 대한 조치사항과 절차에 대한 내용으로 도출되었다. 셋째, 학교폭력의 최근 현안에 대한 내용에 대해서 살펴볼 수 있었다. 추후 연구에서는 데이터기반의 예측을 기반으로 당면하고 있는 사회적 문제해결에 활용하는 연구가 수행될 필요가 있다.

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System identification of a super high-rise building via a stochastic subspace approach

  • Faravelli, Lucia;Ubertini, Filippo;Fuggini, Clemente
    • Smart Structures and Systems
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    • 제7권2호
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    • pp.133-152
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    • 2011
  • System identification is a fundamental step towards the application of structural health monitoring and damage detection techniques. On this respect, the development of evolved identification strategies is a priority for obtaining reliable and repeatable baseline modal parameters of an undamaged structure to be adopted as references for future structural health assessments. The paper presents the identification of the modal parameters of the Guangzhou New Television Tower, China, using a data-driven stochastic subspace identification (SSI-data) approach complemented with an appropriate automatic mode selection strategy which proved to be successful in previous literature studies. This well-known approach is based on a clustering technique which is adopted to discriminate structural modes from spurious noise ones. The method is applied to the acceleration measurements made available within the task I of the ANCRiSST benchmark problem, which cover 24 hours of continuous monitoring of the structural response under ambient excitation. These records are then subdivided into a convenient number of data sets and the variability of modal parameter estimates with ambient temperature and mean wind velocity are pointed out. Both 10 minutes and 1 hour long records are considered for this purpose. A comparison with finite element model predictions is finally carried out, using the structural matrices provided within the benchmark, in order to check that all the structural modes contained in the considered frequency interval are effectively identified via SSI-data.

Data analysis for improving population management in animal shelters in Seoul

  • Cho, Yoon Ju;Lee, Young-Ah;Hwang, Bo Ram;Kim, Hyung Joon;Han, Jin Soo
    • 대한수의학회지
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    • 제55권2호
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    • pp.125-131
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    • 2015
  • A total of 11,395 animals were impounded in shelters in Seoul in 2013. The Animal Protection Division of the Seoul metropolitan government has annual contracts with local veterinary associations as well as Korean animal rescue and management organizations for providing shelter to animals, and collects monthly statistics from these groups. In 2013, the collected intake and outcome data for 25 districts were reviewed to analyze shelter capacity in terms of housing capacity (monthly daily average intake, required holding capacity, and adoption-driven capacity), staff capacity (staff hours required for daily care), and live release rate. Seasonal variations in the monthly daily average intake were observed, indicating that management of these shelters requires various strategies. This study was performed to analyze and interpret meaningful statistics for improving the efficiency of animal shelters in Seoul. However, inconsistent collection of animal statistics limited data compilation. Creation of a basic animal statistics matrix with reference to well-designed matrices from recognized professional animal shelters is essential. These complied statistical data will help plan for future animal shelter needs in Seoul.

Development of an integrated Web-based system with a pile load test database and pre-analyzed data

  • Chen, Yit-Jin;Liao, Ming-Ru;Lin, Shiu-Shin;Huang, Jen-Kai;Marcos, Maria Cecilia M.
    • Geomechanics and Engineering
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    • 제7권1호
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    • pp.37-53
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    • 2014
  • A Web-based pile load test (WBPLT) system was developed and implemented in this study. Object-oriented and concept-based software design techniques were adopted to integrate the pile load test database into the system. A total of 673 case histories of pile load test were included in the database. The data consisted of drilled shaft and driven precast concrete pile axial load tests in drained, undrained, and gravel loading conditions as well as pre-analyzed data and back-calculated design parameters. Unified modeling language, a standard software design tool, was utilized to design the WBPLT system architecture with five major concept-based components. These components provide the static structure and dynamic behavior of system message flows in a visualized manner. The open-source Apache Web server is the building block of the WBPLT system, and PHP Web programming language implements the operation of the WBPLT components, particularly the automatic translation of user query into structured query language. A simple search and inexpensive query can be implemented through the Internet browser. The pile load test database is helpful, and data can be easily retrieved and utilized worldwide for research and advanced applications.

초고속 광송수신 소자·부품 기술 (Ultrahigh-Speed Photonic Devices and Components Technologies for Optical Transceivers)

  • 김종회;한영탁;김덕준;김동철;최중선;이동훈;이서영
    • 전자통신동향분석
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    • 제34권5호
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    • pp.81-90
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    • 2019
  • The data rate for transmission through fiber-optic cables has increased to 400 Gbps in single-wavelength channels. However, speeds up to 1 Tbps are required now to meet the ever-increasing bandwidth demand driven by the diverse requirements of contemporary applications for high-quality on-demand video streaming, cloud services, various social media, and emerging 5G-enabled applications. Because the data rates of the per-channel optical interfaces depend strongly on the operational speed of the optoelectronic devices used in optical transceivers, ultrahigh-speed photonic devices and components, and eventually, chip-level transmitter and receiver technologies, are essentially required to realize futuristic optical transceivers with data rates of 1 Tbps and beyond. In this paper, we review the recent progress achieved in high-speed optoelectronic devices, such as laser diodes, optical modulators, photodiodes, and the transmitter-receiver optical subassembly for optical transceivers in data centers and in metro/long-haul transmission.

Effect of Sports Psychology on Enhancing Consumer Purchase Intention for Retailers of Sports Shops: Literature Content Analysis

  • LEE, Jae-Hyung
    • 유통과학연구
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    • 제19권4호
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    • pp.5-13
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    • 2021
  • Purpose: The sporting field is one of the most lucrative industries that most producers would want to share and drive-in sales towards its direction. The purpose of the present study is to evaluate how sports psychology has become a useful discipline in enhancing consumer purchase intentions. Research design, data, and methodology: This study employs a qualitative coding method to analyze and interpret the data obtained with a PRISMA declaration for analytical purposes. Using Web QDA (Qualitative Data Analysis) online tools, the current study coded the data obtained. Results: According to the prior studies, marketers should go the extra mile of looking for what sports customers are looking for. They understand that one way to increase the customers' willingness to purchase their products is by looking into the specific things that the customers look for and enjoy in sports. Conclusions: After all, the present study concludes that most marketers need to apply the concepts of sports psychology to understand consumer purchase intentions in particular retail stores. Consumers are likely to be influenced by their peers or groups to make decisions driven towards purchasing given sports apparel and the retail store to purchase a product.

Condition assessment of stay cables through enhanced time series classification using a deep learning approach

  • Zhang, Zhiming;Yan, Jin;Li, Liangding;Pan, Hong;Dong, Chuanzhi
    • Smart Structures and Systems
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    • 제29권1호
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    • pp.105-116
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    • 2022
  • Stay cables play an essential role in cable-stayed bridges. Severe vibrations and/or harsh environment may result in cable failures. Therefore, an efficient structural health monitoring (SHM) solution for cable damage detection is necessary. This study proposes a data-driven method for immediately detecting cable damage from measured cable forces by recognizing pattern transition from the intact condition when damage occurs. In the proposed method, pattern recognition for cable damage detection is realized by time series classification (TSC) using a deep learning (DL) model, namely, the long short term memory fully convolutional network (LSTM-FCN). First, a TSC classifier is trained and validated using the cable forces (or cable force ratios) collected from intact stay cables, setting the segmented data series as input and the cable (or cable pair) ID as class labels. Subsequently, the classifier is tested using the data collected under possible damaged conditions. Finally, the cable or cable pair corresponding to the least classification accuracy is recommended as the most probable damaged cable or cable pair. A case study using measured cable forces from an in-service cable-stayed bridge shows that the cable with damage can be correctly identified using the proposed DL-TSC method. Compared with existing cable damage detection methods in the literature, the DL-TSC method requires minor data preprocessing and feature engineering and thus enables fast and convenient early detection in real applications.

한국 시민과학의 현황과 과제 (The Current State and Tasks of Citizen Science in Korea)

  • 박진희
    • 과학기술학연구
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    • 제18권2호
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    • pp.7-41
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    • 2018
  • 정부 기관 혹은 과학협회에서 비전문가 시민으로 하여금 대량의 데이터를 수집하도록 하는 활동에서 유래하고 있는 시민과학은 현재 프로젝트마다 과학자와의 협력 내용에서 차이를 보이고 있다. 생물종 개체수 조사 등 생태, 환경과학 영역에 집중되고 있던 시민과학 연구 내용은 천문학, 분산 컴퓨팅, 강입자물리 영역까지 확장되어갔다. 시민과학은 시민 자원 봉사자들에 의한 데이터 수집으로 비용 효과적으로 과학 연구를 수행할 수 있게 해주어 과학 연구 진전에 기여할 수 있었다. 또한 시민과학은 프로젝트에 참여한 시민들의 과학지식을 증진시키며 대중의 과학 이해를 향상시켜주는 것으로 나타났다. 이밖에 공동체 주도 시민과학 프로젝트는 지역 환경 이슈에 대한 공중의 인식을 향상시키고 환경 문제 해결에의 시민 참여를 장려하는 역할을 했다. 지역 시민들의 경험지에 근거하는 시민과학 프로젝트는 지역 환경 정책 결정 및 실행에 직접적인 도움을 주고 있는 것으로 나타났다. 이와 같은 시민과학의 교육, 사회 정책적 가치로 인해 각국 정부들에서는 시민과학 활성화를 위한 다양한 정책들을 수립하고 있다. 국내에서도 시민과학의 사회적 역할에 주목하여 정부 주도의 시민과학 프로젝트들이 기획, 실행되고 있다. 시민의 자발적인 참여에 의해 다양한 프로젝트들이 실행되고 있는 국외와 달리 국내에서 진행되는 시민과학 활동은 아직 주제 영역이 제한적이며 활동의 주체로서 과학자나 시민 참여가 아직은 낮은 수준에 머물고 있는 것으로 나타났다. 공공주도의 시민과학 프로젝트를 통해 시민 참여가 늘어나고 또한 과학자들도 시민과학의 가능성을 인지할 수 있도록 하는 것은 중요해 보인다. 과학자에 대한 평가제도를 개선하여 시민과학 참여를 증진하는 방안도 모색되어야 할 것이다. 공공 주도 시민과학 프로젝트 운영을 시민 참여 강화에 맞추어 세밀하게 기획할 필요가 있다. 시민단체 주도의 자연조사 활동이 시민과학으로서 실질적으로 과학 연구, 나아가 환경 정책에 기여할 수 있도록 오픈 데이터 정책이 마련되어야 할 것이다. 시민과학 프로젝트 경험을 공유, 확산할 수 있는 시민과학 네트워크 구축에도 노력할 필요가 있다.

미디어 환경과 사용에 관한 아동의 심성모형 질적 연구 (A Qualitative Research of Children's Mental Model on Media Environment and the Use)

  • 이란;현은자
    • 한국콘텐츠학회논문지
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    • 제16권6호
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    • pp.601-613
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    • 2016
  • 본 연구의 목적은 미디어 환경과 미디어 사용에 대한 아동의 심성모형을 분석하여 제시하고 이를 토대로 교육적 시사점을 제공하는 것이다. 이를 위하여 10명의 초등 4-5학년 연령대 아동과의 인터뷰, 그림 그리기, 연상 단어 제시하기, 문장 완성하기의 네 가지 활동을 통하여 데이터를 수집하였고 연구자 2인에 의해 질적으로 분석되었다. 먼저 문장 완성활동과 연상 단어 활동을 통해 도출된 의미 구성요소는 미디어 기기, 소통성(소외감), 유능함(공급원), 오락성, 역기능, 양면성의 총 6개 요소였다. 두 번째로, 참여자들의 그림에서 추출된 미디어 심성모형의 구성요소는 기능성/유능함, 오락성, 책(종이)과의 갈등/공유, 해악/양면성 등의 4개 요소였다. 세 번째로, 인터뷰를 통해 나타난 심성모형의 의미요소는 갈등(종이책과 전자 미디어), 소통 중심성, 두려움(중독), 그리고 사용자의 자격 등으로 범주화되었다. 이러한 결과를 토대로 본 연구는 사이버 소통에 대한 관찰과 인식 강화, 중독예방 교육의 필요성, 학습 미디어와 책 미디어의 적극적 개발과 균형있는 활용, 건강한 미디어 리터러시 교육과 비판적 사고의 강화 등을 교육적 함축으로 제시하였다.