• Title/Summary/Keyword: normal product

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Small Sample Asymptotic Distribution for the Sum of Product of Normal Variables with Application to FSK Communication (곱 정규확률변수의 합에 대한 소표본 점근분표와 FSK 통신에의 응용)

  • Na, Jong-Hwa;Kim, Jung-Mi
    • The Korean Journal of Applied Statistics
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    • v.22 no.1
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    • pp.171-179
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    • 2009
  • In this paper we studied the effective approximations to the distribution of the sum of products of normal variables. Based on the saddlepoint approximations to the quadratic forms, the suggested approximations are very accurate and easy to use. Applications to the FSK (Frequency Shift Keying) communication are also considered.

NEARLY KAEHLERIAN PRODUCT MANIFOLDS OF TWO ALMOST CONTACT METRIC MANIFOLDS

  • Ki, U-Hang;Kim, In-Bae;Lee, Eui-Won
    • Bulletin of the Korean Mathematical Society
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    • v.21 no.2
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    • pp.61-66
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    • 1984
  • It is well-known that the most interesting non-integrable almost Hermitian manifold are the nearly Kaehlerian manifolds ([2] and [3]), and that there exists a complex but not a Kaehlerian structure on Riemannian product manifolds of two normal contact manifolds [4]. The purpose of the present paper is to study nearly Kaehlerian product manifolds of two almost contact metric manifolds and investigate the geometrical structures of these manifolds. Unless otherwise stated, we shall always assume that manifolds and quantities are differentiable of class $C^{\infty}$. In Paragraph 1, we give brief discussions of almost contact metric manifolds and their Riemannian product manifolds. In paragraph 2, we investigate the perfect conditions for Riemannian product manifolds of two almost contact metric manifolds to be nearly Kaehlerian and the non-existence of a nearly Kaehlerian product manifold of contact metric manifolds. Paragraph 3 will be devoted to a proof of the following; A conformally flat compact nearly Kaehlerian product manifold of two almost contact metric manifolds is isomatric to a Riemannian product manifold of a complex projective space and a flat Kaehlerian manifold..

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A Study on the Analysis of the Resistance Characteristics and Damage Patterns of Brass Fittings Type CSST (황동이음쇠형 금속플렉시블호스(CSST)의 저항 특성 및 소손 패턴 해석에 관한 연구)

  • Lee, Jang-Woo;Choi, Chung-Seog
    • Fire Science and Engineering
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    • v.30 no.5
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    • pp.67-73
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    • 2016
  • This paper examined the structure, fire resistance of brass fittings type CSST employed in gas appliances and the reliability verification. Brass fittings of type CSST consisted of cladding, tubing, nut, clamp ring, socket, and ball valve. The applicable JIA standard regulates the maximum working pressure to be 4.2 kPa, which is the highest pressure of the relevant standards and the KS D 3625 stipulates the maximum pressure to be 3.24 kPa. With a normal product, the average resistance within the confidence interval was found to be $7.36m{\Omega}$. The average resistance within the confidence interval was $6.67m{\Omega}$ after the fire resistance tests. The analysis indicated that the AD was 1.584 and the standard deviation was 0.3972 with respect of a normal product. Compared to the normal product, however, the damaged product after the fire resistance test showed better features, such as an AD of 1.145 and a standard deviation of 0.2467. Moreover, the average resistance of the normal product was $7.359m{\Omega}$ and the standard deviation in histogram analysis was 0.3972. The average resistance of the damaged product after the fire resistance test in the histogram was $6.67m{\Omega}$ and the standard deviation was 0.2467.

A Study on the Machine Learning Model for Product Faulty Prediction in Internet of Things Environment (사물인터넷 환경에서 제품 불량 예측을 위한 기계 학습 모델에 관한 연구)

  • Ku, Jin-Hee
    • Journal of Convergence for Information Technology
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    • v.7 no.1
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    • pp.55-60
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    • 2017
  • In order to provide intelligent services without human intervention in the Internet of Things environment, it is necessary to analyze the big data generated by the IoT device and learn the normal pattern, and to predict the abnormal symptoms such as faulty or malfunction based on the learned normal pattern. The purpose of this study is to implement a machine learning model that can predict product failure by analyzing big data generated in various devices of product process. The machine learning model uses the big data analysis tool R because it needs to analyze based on existing data with a large volume. The data collected in the product process include the information about product faulty, so supervised learning model is used. As a result of the study, I classify the variables and variable conditions affecting the product failure, and proposed a prediction model for the product failure based on the decision tree. In addition, the predictive power of the model was significantly higher in the conformity and performance evaluation analysis of the model using the ROC curve.

Efficacy of the Probiotic Probiotical Confirmed in Acute Gastroenteritis

  • Kluijfhout, Sandra;Trieu, Thanh-Van;Vandenplas, Yvan
    • Pediatric Gastroenterology, Hepatology & Nutrition
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    • v.23 no.5
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    • pp.464-471
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    • 2020
  • Purpose: Some probiotic strains reduce the duration of acute diarrhea. Because of strain and product specificity, each product needs to be supported by clinical data. This study aimed to test the efficacy of the synbiotic food supplement Probiotical (Streptococcus thermophilus, Lactobacillus rhamnosus, Lactobacillus acidophilus, Bifidobacterium lactis, Bifidobacterium infantis, fructo-oligosaccharides) in children with acute gastroenteritis of likely infectious origin. The primary endpoint was the number of children with normal stool consistency during the treatment duration. Methods: A total of 46 children (aged 3.6 months to 12 years) with acute gastroenteritis that started less than 48 hours prior to their visit at a hospital-based emergency department were included in this prospective, randomized, placebo-controlled trial. All children were treated with oral rehydration solution and placebo (n=20) or the test product (n=26). Results: Significantly more children had a normal stool consistency on days 1 and 2 in the probiotic group: 5 children (20%) on day 1 in the probiotic group compared with none in the placebo group (p=0.046). On day 2, 11 children in the probiotic group (46%) and 3 (16%) in the placebo group (p=0.024) had a normal stool consistency. The mean duration of diarrhea was shorter in the probiotic group compared with that in the placebo group (3.04±1.36 vs. 4.20±1.34 days) (p=0.018). Conclusion: The test product was shown to normalize stool consistency significantly more rapidly than the placebo. These data confirm the findings from a previous study in a larger group of children performed in a primary healthcare setting.

A CONDITIONAL FOURIER-FEYNMAN TRANSFORM AND CONDITIONAL CONVOLUTION PRODUCT WITH CHANGE OF SCALES ON A FUNCTION SPACE I

  • Cho, Dong Hyun
    • Bulletin of the Korean Mathematical Society
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    • v.54 no.2
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    • pp.687-704
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    • 2017
  • Using a simple formula for conditional expectations over an analogue of Wiener space, we calculate a generalized analytic conditional Fourier-Feynman transform and convolution product of generalized cylinder functions which play important roles in Feynman integration theories and quantum mechanics. We then investigate their relationships, that is, the conditional Fourier-Feynman transform of the convolution product can be expressed in terms of the product of the conditional FourierFeynman transforms of each function. Finally we establish change of scale formulas for the generalized analytic conditional Fourier-Feynman transform and the conditional convolution product. In this evaluation formulas and change of scale formulas we use multivariate normal distributions so that the orthonormalization process of projection vectors which are essential to establish the conditional expectations, can be removed in the existing conditional Fourier-Feynman transforms, conditional convolution products and change of scale formulas.