• Title/Summary/Keyword: Target Relationship

Search Result 1,113, Processing Time 0.022 seconds

Numerical optimization of transmission bremsstrahlung target for intense pulsed electron beam

  • Yu, Xiao;Shen, Jie;Zhang, Shijian;Zhang, Jie;Zhang, Nan;Egorov, Ivan Sergeevich;Yan, Sha;Tan, Chang;Remnev, Gennady Efimovich;Le, Xiaoyun
    • Nuclear Engineering and Technology
    • /
    • v.54 no.2
    • /
    • pp.666-673
    • /
    • 2022
  • The optimization of a transmission type bremsstrahlung conversion target was carried out with Monte Carlo code FLUKA for intense pulsed electron beams with electron energy of several hundred keV for maximum photon fluence. The photon emission intensity from electrons with energy ranging from 300 keV to 1 MeV on tungsten, tantalum and molybdenum targets was calculated with varied target thicknesses. The research revealed that higher target material element number and electron energy leads to increased photon fluence. For a certain target material, the target thickness with maximum photon emission fluence exhibits a linear relationship with the electron energy. With certain electron energy and target material, the thickness of the target plays a dominant role in increasing the transmission photon intensity, with small target thickness the photon flux is largely restricted by low energy loss of electrons for photon generation while thick targets may impose extra absorption for the generated photons. The spatial distribution of bremsstrahlung photon density was analyzed and the optimal target thicknesses for maximum bremsstrahlung photon fluence were derived versus electron energy on three target materials for a quick determination of optimal target design.

An analysis of the relationship among nursing students' perception of target advocacy, work value, and person-centered care (간호대학생이 지각한 대상자 옹호, 직업 가치 및 인간중심돌봄 간의 관계분석)

  • Ji Ah Song;Jae Woo Oh
    • The Journal of the Convergence on Culture Technology
    • /
    • v.10 no.2
    • /
    • pp.287-295
    • /
    • 2024
  • This study examined the relationship between target advocacy, work values, and person-centered care among nursing students, and attempted to provide basic data for the development of educational materials to improve fundamental ideology for nursing students. The data collection period was from July 1 to July 31, 2023. The questionnaires of 172 nursing students who were enrolled in universities located in cities D and S and agreed to participate in this study were analyzed. The results of the analysis showed that the influential factors on nursing students' person-centered care were target advocacy and work values, and the explanatory power of these variables was 23.5%. In conclusion, in order to improve nursing students' competence in person-centered care, it is necessary to identify the extent of their work values as nurses, compare and develop programs for the formation of positive work values, and improve their awareness of target advocacy, which is the fundamental philosophy of nursing.

A Machine Learning-based Customer Classification Model for Effective Online Free Sample Promotions (온라인 무료 샘플 판촉의 효과적 활용을 위한 기계학습 기반 고객분류예측 모형)

  • Won, Ha-Ram;Kim, Moo-Jeon;Ahn, Hyunchul
    • The Journal of Information Systems
    • /
    • v.27 no.3
    • /
    • pp.63-80
    • /
    • 2018
  • Purpose The purpose of this study is to build a machine learning-based customer classification model to promote customer expansion effect of the free sample promotion. Specifically, the proposed model classifies potential target customers who are expected to purchase the products included in the free sample promotion after receiving the free samples. Design/methodology/approach This study proposes to build a customer classification model for determining customers suitable for providing free samples by using various machine learning techniques such as logistic regression, multiple discriminant analysis, case-based reasoning, decision tree, artificial neural network, and support vector machine. To validate the usefulness of the proposed model, we apply it to a real-world free sample-based target marketing case of a Korean major cosmetic retail company. Findings Experimental results show that a machine learning-based customer classification model presents satisfactory accuracy ranging from 70% to 75%. In particular, support vector machine is found to be the most effective machine learning technique for free sample-based target marketing model. Our study sheds a light on customer relationship management strategies using free sample promotions.

The Comparison of the Relationship between the Gunfire Shot and Its Resulting Heavy Metal Pollution Rate (소화기 사격장의 사격에 따른 중금속 오염도 비교(I))

  • Hong, Sung Tae;Hyun, Jae Hyuk
    • Journal of Soil and Groundwater Environment
    • /
    • v.19 no.6
    • /
    • pp.1-5
    • /
    • 2014
  • The following research was initiated in order to compare the relationship between the amount of gunfire shot and its resulting heavy metal pollution rate. The research was conducted at two firing ranges located inside a military unit stationed in the rear strategical area, where one full distance firing range is used by soldiers in active service, and the other is used by recruits and reserves. The heavy metal pollution rate was measured also on water sample collected from the target zone while raining. Based on values such as the real amount of gunshot fired, amount of heavy metal in the soil of the target zone, and the degree of heavy metal pollution for each firing range, the research showed that although pollution rate was higher when more gunshots were fired, there was no close correlation between the two. The water samples showed that this might result from the soils containing heavy metals eroded and transported by rain due to the target zone having no vegetation.

Determination of Target Value under Automatic Vision Inspection Systems (자동시각검사환경하에서 공정 목표치의 설정)

  • 서순근;이성재
    • Journal of Korean Society for Quality Management
    • /
    • v.29 no.3
    • /
    • pp.66-78
    • /
    • 2001
  • This paper deals with problem of determining process target value under automated visual inspection(AVI) system. Three independent error sources - digitizing error, illumination error, and positional error - which have a close relationship with the performance of the AVI system, are considered. Assuming that digitizing error is uniformly or normally distributed and illumination and positional errors are normally distributed, respectively, the distribution function for the error of measured lengths is derived when the length of a product is measured by the AVI system. Then, Optimal target values under two error models of AVI system are obtained by minimizing the total expected cost function which consists of give away, rework and penalty cost. To validate two process setting models, AVI system for drinks filling process is made up and test results are discussed.

  • PDF

An Object-Level Feature Representation Model for the Multi-target Retrieval of Remote Sensing Images

  • Zeng, Zhi;Du, Zhenhong;Liu, Renyi
    • Journal of Computing Science and Engineering
    • /
    • v.8 no.2
    • /
    • pp.65-77
    • /
    • 2014
  • To address the problem of multi-target retrieval (MTR) of remote sensing images, this study proposes a new object-level feature representation model. The model provides an enhanced application image representation that improves the efficiency of MTR. Generating the model in our scheme includes processes, such as object-oriented image segmentation, feature parameter calculation, and symbolic image database construction. The proposed model uses the spatial representation method of the extended nine-direction lower-triangular (9DLT) matrix to combine spatial relationships among objects, and organizes the image features according to MPEG-7 standards. A similarity metric method is proposed that improves the precision of similarity retrieval. Our method provides a trade-off strategy that supports flexible matching on the target features, or the spatial relationship between the query target and the image database. We implement this retrieval framework on a dataset of remote sensing images. Experimental results show that the proposed model achieves competitive and high-retrieval precision.

Analysis of the Square Beam Energy Efficiency of a Homogenizer Near the Target for Laser Shock Peening

  • Kim, Taeshin;Hwang, Seungjin;Hong, Kyung Hee;Yu, Tae Jun
    • Journal of the Optical Society of Korea
    • /
    • v.20 no.3
    • /
    • pp.407-412
    • /
    • 2016
  • We analyzed through numerical simulations the properties of a square beam homogenizer near the target for laser shock peening. The efficiency was calculated near the target by considering the plasma threshold of the metals. We defined the depth of focus of the square beam homogenizer with a given efficiency near the target. Then, we found the relationship between the depth of focus for the laser shock peening and four main parameters of the square beam homogenizer: the plasma threshold of the metal, the number of lenslets in the array-lens, the focal length of the condenser lens and the input beam size.

The Phonetics and Phonology of English Schwa

  • Ahn, Soo-Woong
    • Korean Journal of English Language and Linguistics
    • /
    • v.1 no.2
    • /
    • pp.311-329
    • /
    • 2001
  • This paper wanted to test the reality of English schwa by phonetic and phonological methods. Phonetically it wanted to see acoustic evidence of the relationship between the full vowels and their reduced vowels in the unstressed positions. Phonologically it wanted to prove how systematic the schwa sound is by the constraint-based grammar. As a result, the schwa phenomenon in English was supported both phonetically and phonologically. In the phonetic analysis no relationship Was found in the distribution of the F1 and F2 of the full vowels and their reduced vowels in the unstressed syllables of the derived words. The reduced vowels tended to converge into a target of F1 516 and F2 1815. The view that the schwa sounds have a target was supported. On the phonological side the constraint-based tableau produced the successful output by using FAITH (V), (equation omitted)V, FAITH V[-BACK+HiC], V[-Low, -TNS]#, REDUCE V[-STR, -TNS] as constraints. No ranking was found. Any violation of the constraints ousted the candidates.

  • PDF

Determination of engineering characteristic values by quality function deployment (품질 기능 전개를 통한 대용 특성값의 결정 방법)

  • 변은신;염봉진
    • Korean Management Science Review
    • /
    • v.13 no.3
    • /
    • pp.91-104
    • /
    • 1996
  • The basic idea of Quality Function Deployment(QFD) is to deploy the voice of customers into the final product through product planning, part planning, process planning, and manufacturing. In the product planning stage, which is the first stage of product development, customer attributes(CAs) are translated into engineering characteristics(ECs). Then, based on the relationship between CAs and ECs, the target values of ECs are determined. In the previous research, the process of analyzing these relationships is mostly subjective in nature. In this article, we formulate the process of determining the target values of ECs as an optimization model. That is, we first determine the relationship between CAs and ECs as cumulative logit models and construct constraints into which the company strategy as well as the needs of customers can be incorprated. Next, cost functions of ECs are developed, which are summed into an objective function. An algorithm to solve the formulated optimization problem is developed and illustrated with an example.

  • PDF

New Protocol at Fast Scan Mode for Sea-surface Small Target Detection

  • Cha, Sangbin;Park, Sanghong;Jung, Jooho;Choi, Inoh
    • IEMEK Journal of Embedded Systems and Applications
    • /
    • v.17 no.2
    • /
    • pp.101-107
    • /
    • 2022
  • In this article, we propose a new protocol at fast scan mode for a sea-surface small target detection. The conventional fast scan mode is composed of coherent intrascan integration to suppress sea clutter and non-coherent interscan integration to exclude sea spikes. The proposed method realizes the coherent interscan integration by the new Fourier relationship between carrier-frequency and initial-radial-range, which can be analytically derived by using multiple carrier frequencies at fast scan mode, leading to improved detection performance, compared to the conventional non-coherent methods. In simulations, our proposed method is verified.