• 제목/요약/키워드: Classification Operation

검색결과 818건 처리시간 0.024초

Classification of Alzheimer's Disease with Stacked Convolutional Autoencoder

  • Baydargil, Husnu Baris;Park, Jang Sik;Kang, Do Young
    • 한국멀티미디어학회논문지
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    • 제23권2호
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    • pp.216-226
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    • 2020
  • In this paper, a stacked convolutional autoencoder model is proposed in order to classify Alzheimer's disease with high accuracy in PET/CT images. The proposed model makes use of the latent space representation - which is also called the bottleneck, of the encoder-decoder architecture: The input image is sent through the pipeline and the encoder part, using stacked convolutional filters, extracts the most useful information. This information is in the bottleneck, which then uses Softmax classification operation to classify between Alzheimer's disease, Mild Cognitive Impairment, and Normal Control. Using the data from Dong-A University, the model performs classification in detecting Alzheimer's disease up to 98.54% accuracy.

작업자세에 의한 자동차 조립작업의 작업부하평가 (Workload Evaluation of Automobile Assembly Task Using a Posture Classification Schema)

  • 정재원;정민근;이인석;김상호;이상민;이유정
    • 대한인간공학회:학술대회논문집
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    • 대한인간공학회 1997년도 추계학술대회논문집
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    • pp.437-440
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    • 1997
  • The association of poor body postures with pains or symptoms of musculoskeletal discorders has been reported by many researchers. An ergonomic evaluation of postural stresses as well as biomechanical stresses is also important especially when a job involves highly repetitive or prolonged poor body postures. The human body is divided into five parts: shoulder/upper arm, lower arm/wrist, back, neck, lower extremities. A work-sampling based macropostural classification system was developed to characterize various postures in this study. Application of the posture classification schema developed in this study to 7 automobile assembly tasks showed that the schema can be used as a tool to didntify the operation and tasks involving highly stressful body postures. This posture classification schema can also be applied as a basis for quantitive evaluating the workload of manual task.

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특수일 조업률 반영을 통한 전력수요예측 정확도 향상 (Improvement of the Load Forecasting Accuracy by Reflecting the Operation Rates of Industries on the Consecutive Holidays)

  • 임남식;이상중
    • 전기학회논문지
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    • 제65권7호
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    • pp.1115-1120
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    • 2016
  • This paper presents the daily load forecasting for special days considering the rate of operation of industrial consumers. The authors analyzed the power consumption pattern for both the special and ordinary days according to the contract power classification of industrial consumers, and selected 400~600 specific consumers for which the rates of operation during special days are needed. Load forecasting for 2014 special days considering the rate of operation of industrial consumers showed a noticeable improvement on forecasting error of daily peak demand, which proved the effectiveness of the survey for the rates of operation during special days of industrial consumers.

Cloudy Area Detection Algorithm By GHA and SOFM

  • Seo, Seok-Bae;Kim, Jong-Woo;Lee, Joo-Hee;Lim, Hyun-Su;Choi, Gi-Hyuk;Choi, Hae-Jin
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2003년도 Proceedings of ACRS 2003 ISRS
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    • pp.458-460
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    • 2003
  • This paper proposes new algorithms for cloudy area detection by GHA (Generalized Hebbian Algorithm) and SOFM (Self-Organized Feature Map). SOFM and GHA are unsupervised neural networks and are used for pattern classification and shape detection of satellite image. Proposed algorithm is based on block based image processing that size is 16${\times}$16. Results of proposed algorithm shows good performance of cloudy area detection except blur cloudy area.

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The SWG Component Technology Classification Scheme Researchthrough the Technology Trend Analysis

  • Son, Hong Min;Hu, Jong Wan
    • 한국수자원학회논문집
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    • 제48권11호
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    • pp.945-955
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    • 2015
  • The technology of the SWG (Smart Water Grid) as one of most important national projects results in significant assignment that is closely associated with systematic management and effective operation. The individual component technics are required to establish directory and classification for the purpose of effectively managing their information related to research and development (R&D). The national science technology (S&T) standard classification tree which results in the representative example has been established with an intention to manage R&D information, human resource, and budget. It has been also revised every five years and then used in the various fields related to the evaluation, administration, and prediction of the national R&D projects. In addition, the standard classification system for R&D projects has been widely used in the UNESCO (United Nations Educational, Scientific and Cultural Organization) and EU (European Union) since the Frascati Manual was established in the Organization for Economic Cooperation and Development (OECD). Therefore, it is necessary for SWG techniques to develop the standard S&T classification tree for research management and evaluation. For this, it is essential to draw the core techniques for the SWG, which are incorporated with IT (Information Technology), NT (Nano Technology), and BT (Biology Technology).

Alsat-2B/Sentinel-2 Imagery Classification Using the Hybrid Pigeon Inspired Optimization Algorithm

  • Arezki, Dounia;Fizazi, Hadria
    • Journal of Information Processing Systems
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    • 제17권4호
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    • pp.690-706
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    • 2021
  • Classification is a substantial operation in data mining, and each element is distributed taking into account its feature values in the corresponding class. Metaheuristics have been widely used in attempts to solve satellite image classification problems. This article proposes a hybrid approach, the flower pigeons-inspired optimization algorithm (FPIO), and the local search method of the flower pollination algorithm is integrated into the pigeon-inspired algorithm. The efficiency and power of the proposed FPIO approach are displayed with a series of images, supported by computational results that demonstrate the cogency of the proposed classification method on satellite imagery. For this work, the Davies-Bouldin Index is used as an objective function. FPIO is applied to different types of images (synthetic, Alsat-2B, and Sentinel-2). Moreover, a comparative experiment between FPIO and the genetic algorithm genetic algorithm is conducted. Experimental results showed that GA outperformed FPIO in matters of time computing. However, FPIO provided better quality results with less confusion. The overall experimental results demonstrate that the proposed approach is an efficient method for satellite imagery classification.

선박 검사 교육훈련을 위한 VR 선박 환경 구축 (Development of VR Ship Environment for The Educational Training of Ship Survey)

  • 길우성;손명조;이정렬
    • 대한조선학회논문집
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    • 제55권4호
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    • pp.361-369
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    • 2018
  • The ship surveyor makes a scheme of reasonable ship operation by examining whether the ship has been properly constructed in accordance with the rule of classification societies and international conventions or whether the facilities of the ship in operation meet the standard stipulated by law. Even though the ship surveyors of classification society generally consist of people who have the skill of design or operation of a ship, it takes a long time to train a surveyor to the maturity level. This paper describes the development of survey simulator based on virtual ship environment that enables the surveyor minimize trial and errors to survey the ships. By using VR(Virtual Reality) based survey simulator, surveyors possibly achieve improvement of competence in survey quality by means of safe and immersive training environment. In order to improve the usability and utility of the VR simulator, the ship 3D model has been generated using 3D CAD model for design and production in shipyard. Through this, we suggested the possibility of consistent use of 3D model as the digital twin of a ship.

식도암의 임상적 고찰 (Clinical Analysis of Esophageal Cancer Patient)

  • 임창영
    • Journal of Chest Surgery
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    • 제21권5호
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    • pp.856-862
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    • 1988
  • The survival rate after resectional operation for carcinoma of the esophagus is still very low and many factors contribute to these poor results. We analyze the clinical results of 56 operated patients among 62 esophageal cancer patients between March, 1974 and July, 1988. Among the 62 patients, 52 patients were squamous cell carcinoma and 8 were adenocarcinoma, one was leiomyosarcoma and one was adenosquamous cell carcinoma. The classification of esophageal cancer was based on TNM classification of American Joint Committee on cancer". Among the operated patients, stage I was 5[9.6%], stage II was 13[25%], stage III was 26[50%], stage IV was 8[15.4%]. And its one year survival rate was 80%, 69%, 11.5%, 0% for each stages. The rate of resectability was 30.3% and resection of esophagus with esophagogastrostomy and extended lymph node dissection was performed on 17 patients without distant metastasis or adjacent organ invasion. Substernal esophago-colono-gastrostomy, Celestine tube insertion and feeding gastrostomy was performed on remained 39 patients. The analysis of postoperative survival duration revealed the superiority of esophagectomy with extended lymph node dissection over other palliative operation. [1 year survival rate: 79% versus 21%] We concluded that the survival rate of esophageal resection with lymph node dissection group was superior to nonresective palliative operation group. And transthoracic approach was superior to extrathoracic approach in involved lymph node dissection and esophageal resection in locally invaded cases.ases.

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퍼지 데이터를 이용한 불량률(p) 관리도의 설계 (A Design of Control Chart for Fraction Nonconforming Using Fuzzy Data)

  • 김계완;서현수;윤덕균
    • 품질경영학회지
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    • 제32권2호
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    • pp.191-200
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    • 2004
  • Using the p chart is not adequate in case that there are lots of data and it is difficult to divide into products conforming or nonconforming because of obscurity of binary classification. So we need to design a new control chart which represents obscure situation efficiently. This study deals with the method to performing arithmetic operation representing fuzzy data into fuzzy set by applying fuzzy set theory and designs a new control chart taking account of a concept of classification on the term set and membership function associated with term set.

Effective Design of Inference Rule for Shape Classification

  • Kim, Yoon-Ho;Lee, Sang-Sock;Lee, Joo-Shin
    • 한국지능시스템학회:학술대회논문집
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    • 한국퍼지및지능시스템학회 1998년도 The Third Asian Fuzzy Systems Symposium
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    • pp.417-422
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    • 1998
  • This paper presents a method of object classification from dynamic image based on fuzzy inference algorithm which is suitable for low speed such as, conveyor, uninhabited transportation. At first, by using feature parameters of moving object, fuzzy if - then rule that can be able to adapt the wide variety of surroundings is developed. Secondly, implication function for fuzzy inference are compared with respect the proposed algorithm. Simulation results are presented to testify the performance and applicability of the proposed system.

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