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13th International Conference on Application of Fuzzy Systems and Soft Computing (ICAFS)

作者： Bicen, Huseyin Arnavut, Ahmet Near East Univ Nicosia Cyprus

ISBN: (纸本)9783030041649

Today, mobile users have many advantages in terms of communication and many other aspects, and they are able to make plans through applications on their mobile devices. Consequently, many applications have been developed for travel purposes. In particular, applications called peer-to-peer accommodation rentals such as Airbnb allow people to rent their property to tourists who intend to visit their country. Through the UBER application, it is possible to communicate through a smart device with the nearest available driver using GPS and subsequently obtain services. By using social media applications, individuals are now also influenced by the travel plans of the people they follow. In this study, the aim is to examine student opinions about how mobile applications will have an impact if used in terms of information and travel planning. Even though these devices play an important role in the lives of the 123 students participating in the study, they are hesitant in using the mobile applications related to travelling. This means that if users are trained in the use of secure mobile applications, they will have the opportunity to take advantage of these applications more easily. The study was a quantitative study and data analysis was performed with the SPSS program. The data were analyzed and interpreted by tabulating frequency, percentages, and Anova tests. Future studies will provide training for students on the advantages and disadvantages of applications used for travel and how they can be used safely.

关键词： statistical computation Mobile applications Information

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INTROSTAT - A HYPERTEXT-BASED DESIGN FOR AN ELECTRONIC TEXTBOOK TO INTRODUCE BIOMEDICAL STATISTICS

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COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE 1995年第3期46卷 265-276页

作者： OKADA, M OBRIEN, M Department of Medical Information Science Suzuka University of Medical Science and Technology Kishioka Suzuka City Mie 510-02 Japan

A hypertext-based system called IntroStat has been developed to introduce fundamental methods of biomedical statistics. The system has been developed on a Macintosh II using HyperCard. It is written mainly in Hypertalk, a scripting language of HyperCard. Being an electronic textbook of probability and statistics, the system features computational capabilities. At the end of the sections describing basic methods of statistics, pages are provided where a user may enter data and try the methods right there. Some means for branching are provided for easy access to a page of interest, including branching by contents, by index, and by keyword reference. The system design is proposed as a model of an electronic textbook for biomedical statistics.

关键词： HYPERTEXT ELECTRONIC TEXTBOOK INTRODUCTORY STATISTICS statistical computation

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Rescaling large datasets based on validation outcomes of a pre-trained network

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PATTERN RECOGNITION LETTERS 2024年 185卷 73-80页

作者： Nguyen, Thanh Tuan Nguyen, Thanh Phuong Aix Marseille Univ Univ Toulon CNRS LIS Marseille France HCMC Univ Technol & Educ Fac IT Ho Chi Minh City Vietnam

In fact, several categories in a large dataset are not difficult for recent advanced deep neural networks to recognize. Eliminating them for a challenging smaller subset will assist the early network proposals in taking a quick trial of verification. To this end, we propose an efficient rescaling method based on the validation outcomes of a pre-trained model. Firstly, we will take out the sensitive images of the lowest-accuracy classes of the validation outcomes. Each of such images is then considered to identify which label it was confused with. Gathering the lowest-accuracy classes along with the most confused ones can produce a smaller subset with a higher challenge for quick validation of an early network draft. Finally, a rescaling application is introduced to rescale two popular large datasets (ImageNet and Places365) for different tiny subsets (i.e., ReIN Omega and RePL Omega respectively). Experiments for image classification have proved that neural networks obtaining good performance on the original datasets also achieve good results on their rescaled subsets. For instance, MobileNetV1 and MobileNetV2 with 70.6% and 72% on ImageNet respectively obtained 46.53% and 47.47% on its small subset ReIN30, which only contains about 39000 images. It can be observed that the better performance of MobileNetV2 on ImageNet correspondingly leads to the better rate on its rescaled subset. Appropriately, utilizing these rescaled sets would help researchers save time and computational costs in the way of designing deep neural architectures. All codes related to the rescaling proposal and the resultant subsets are available at http://***/nttbdrk25/ImageNetPlaces365.

关键词： statistical computation Deep neural networks Rescaling large datasets ImageNet Places365

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Multi-scale LBP and SVM Classification to Identify Diabetic Retinopathy in Lesions

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CURRENT MEDICAL IMAGING REVIEWS 2015年第1期11卷 49-55页

作者： Sirajudeen, A. Ezhilarasi, M. RVS Tech Campus Coimbatore Fac Engn Elect & Commun Engn Coimbatore Tamil Nadu India Kumaraguru Coll Technol Elect & Instrumentat Engn Coimbatore Tamil Nadu India

Diabetic Retinopathy (DR) is the most common disease induced by the complication of diabetes, causing blindness. In many rural areas, the contributions of ophthalmologists are predicatively less to treat the disease. Detection of lesions in the early stage is a progressive measure to diagnose DR. Initially, a preprocessing method is performed to detect the Optic Nerve Head (ONH) in the lesion. Based on the degree of reflectance in ONH, feature extraction is computed using multi-scale Local Binary Pattern (LBP) algorithm. Here, Gabor convolution is estimated and the structure of ONH is encoded. This extends to a statistical computation in terms of the moment and standard deviation. A Support Vector Machine (SVM) classification is formulated to locate the hemorrhages and exudates and an effective probabilistic multi-label lesion classification is performed to acquire five sets of results representing the diabetic retinopathy: 1) Grade-1 Exudates, 2) Grade-2 Exudates, 3) Micro aneurysms, 4) Hemorrhages, 5) Neovascularization. Finally, the affected area of lesions is used to diagnose the disease.

关键词： Gabor convolution Local Binary Pattern Optic Nerve Head statistical computation Support Vector Machine

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Stochastic integration rules for infinite regions

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SIAM JOURNAL ON SCIENTIFIC COMPUTING 1998年第2期19卷 426-439页

作者： Genz, A Monahan, J Washington State Univ Dept Pure & Appl Math Pullman WA 99164 USA N Carolina State Univ Dept Stat Raleigh NC 27695 USA

Stochastic integration rules are derived for infinite integration intervals, generalizing rules developed by Siegel and O'Brien [SIAM J. Sci. Statist. Comput., 6 (1985), pp. 169-181] for finite intervals. Then random orthogonal transformations of rules for integrals over the surface of the unit m-sphere are used to produce stochastic rules for these integrals. The two types of rules are combined to produce stochastic rules for multidimensional integrals over infinite regions with Normal or Student-t weights. Example results are presented to illustrate the effectiveness of the new rules.

关键词： Monte Carlo multiple integrals numerical integration statistical computation

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A POSTERIOR PROBABILITY APPROACH FOR GENE REGULATORY NETWORK INFERENCE IN GENETIC PERTURBATION DATA

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MATHEMATICAL BIOSCIENCES AND ENGINEERING 2016年第6期13卷 1241-1251页

作者： Young, William Chad Raftery, Adrian E. Yeung, Ka Yee Univ Washington Dept Stat Box 354322 Seattle WA 98195 USA Univ Washington Inst Technol Box 3584261900 Commerce St Tacoma WA 98402 USA

Inferring gene regulatory networks is an important problem in systems biology. However, these networks can be hard to infer from experimental data because of the inherent variability in biological data as well as the large number of genes involved. We propose a fast, simple method for inferring regulatory relationships between genes from knockdown experiments in the NIH LINCS dataset by calculating posterior probabilities, incorporating prior information. We show that the method is able to find previously identified edges from TRANSFAC and JASPAR and discuss the merits and limitations of this approach.

关键词： Bayesian analysis gene regulatory network statistics statistical computation

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SIMPLE CONDITIONS FOR THE CONVERGENCE OF THE GIBBS SAMPLER AND METROPOLIS-HASTINGS ALGORITHMS

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STOCHASTIC PROCESSES AND THEIR APPLICATIONS 1994年第2期49卷 207-216页

作者： ROBERTS, GO SMITH, AFM UNIV CAMBRIDGE CAMBRIDGEENGLAND UNIV LONDON IMPERIAL COLL SCI TECHNOL & MED LONDON SW7 2AZENGLAND

Markov chain Monte Carlo (MCMC) simulation methods are being used increasingly in statistical computation to explore and estimate features of likelihood surfaces and Bayesian posterior distributions. This paper presents simple conditions which ensure the convergence of two widely used versions of MCMC, the Gibbs sampler and Metropolis-Hastings algorithms.

关键词： MARKOV CHAIN MONTE-CARLO GIBBS SAMPLER METROPOLIS-HASTINGS ALGORITHM statistical computation ERGODICITY LOWER SEMICONTINUITY

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Using large samples in econometrics

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JOURNAL OF ECONOMETRICS 2023年第2期235卷 922-926页

作者： MacKinnon, James G. Queens Univ Kingston ON Canada Queens Univ Dept Econ 94 Univ Ave Kingston ON K7L 3N6 Canada

As I demonstrate using evidence from a journal data repository that I manage, the datasets used in empirical work are getting larger. When we use very large datasets, it can be dangerous to rely on standard methods for statistical inference. In addition, we need to worry about computational issues. We must be careful in our choice of statistical methods and the algorithms used to implement them. & COPY;2022 Elsevier B.V. All rights reserved.

关键词： Bootstrap Clustered data Jackknife statistical computation statistical inference

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Effect of Aggregation Level and Sampling Time on Load Variation Profile - A statistical Analysis

Effect of Aggregation Level and Sampling Time on Load Variat...

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17th IEEE Mediterranean Electrotechnical Conference (MELECON)

作者： Sajjad, Intisar A. Chicco, Gianfranco Napoli, Roberto Politecn Torino Dept Energy Turin Italy

ISBN: (纸本)9781479923373

Electrical load patterns that represent the consumption level are affected by different types of uncertainties associated with customer's behavior and with keeping acceptable comfort level. The resulting aggregated load pattern indicates the system response that may be more or less flexible in different periods of time. Many research activities have been dedicated to explore the flexibility of load demand using load patterns and associated uncertainties but little work is found on investigating the effect of sampling time and aggregation level on the shape of the load patterns. Knowing the characteristics of the electrical load patterns is a key aspect to manage load and supply side flexibilities for most economic system operation. This paper addresses the effects of sampling interval as well as aggregation level on the characteristics of the aggregated load patterns. The study is carried out on the basis of comprehensive statistical computations on collected data using load variation profiles, because these profiles embed the information on the load variation trend. The findings of this study may be used for load forecasting and management, generation allocation and economic operation of smart grid system, especially for microgrids.

关键词： Load variation pattern statistical computation aggregation sampling time flexibility

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statistical Non-uniformity Correction for Paddlebroom Thermal Infrared Image 2

Statistical Non-uniformity Correction for Paddlebroom Therma...

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2nd International Conference on Multimedia and Image Processing (ICMIP)

作者： Cao, Shixiang Li, Yan Jiang, Cheng Jia, Guorui Beijing Inst Space Mech & Elect Satellite Tech Support Team Beijing Peoples R China Beihang Univ Instrumental Sci & Optoelect Engn Beijing Peoples R China

ISBN: (纸本)9781509059546

Considering the thermal infrared system and end user's need, a statistical non-uniformity correction method is proposed to shorten the time to find suitable and broad ground calibration area. Its basic assumption accords to classically linear model, but it extends traditional operating manner. Specifically and first, for each circle the onboard non-uniform parameter is strictly calculated via sensing two blackbodies in different temperature. Then stack the real paddlebroom data which incorporates atmospheric and motion effect into a virtual one, and fit this small data to reconstruct final coefficients of every pixel statistically. From processing system, the demo cases demonstrate its potential to get a better result (lower variation in real uniform region) without dependency on weather or the classical type of object in image, and largely compress the time to get first image product.

关键词： non-uniformity correction paddlebroom thermal infrared satellite statistical computation image processing

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