Classifying and Predicting Respiratory Function Based on Gait Analysis

The human walking behaviour can express the physiological information of human body, and gait analysis methods can be used to access the human body condition. In addition, the respiratory parameters from pulmonary spirometer are the standard of accessing the body condition of the subjects. Therefore, we want to show the correlation between gait analysis method and the respiratory parameters. We propose a vision sensor-based gait analysis method without wearing any sensors. Our method proposed features such as D′p, V′p and γυ to prove the correlation by classification and prediction experiment. In our experiment, the subjects are divided into three levels depending on the respiratory index. We run classifying and predicting experiment with the extracted features: V′p and γυ. In the classifying experiment, the accuracy result is 75%. In predicting experiment, the correlations of predicting the forced expiratory volume in 1 s (FEV1) and forced vital capacity (FVC) are 0.69 and 0.67, respectively. Therefore, there is a correlation between the pulmonary spirometer and our method. The radar system is a tool using impulse to record the moving of the subjects’ chest. Combining the features of radar system with our features improves the classification result from 75 to 81%. In predicting FEV1/FVC, the correlation also improves from 25 to 42%. Therefore, cooperating with radar system improves the correlation

The First Protocol Of Reaching Consensus Under Unreliable Mobile Edge Computing Paradigm

Mobile Edge Computing (MEC) is an emerging technology that enables computing directly at the edge of the cloud computing network. Therefore, it is important that MEC is applied with reliable transmission. The problem of reaching consensus in the distributed system is one of the most important issues in designing a reliable transmission network. However, all previous protocols for the consensus problem are not suitable for an MEC paradigm. It is the first time an optimal protocol of reaching consensus is pro- posed for MEC paradigm. The protocol makes all fault-free nodes communicate with each other and collect the exchanged messages to decide a common value. Based on the common value, the protocol ensures all fault-free nodes reach consensus without the influence of unreliable transmission. Finally, we proved theoretically that the proposed protocol can tolerate the maximum number of faulty components and using only two rounds of message exchanges

OE-6 Building a Personal Brand on Social Media from Experiential Marketing Perspective - A Case Study on Indonesia’s Fashion Instagrammers

Instagram enhances online presence and identity, and allows more effective interaction not only for personal reasons, but also for business purposes. Experiential marketing is a new marketing concept that focusing on creative and innovative ways to appeal customers' senses, feelings, intellect, curiousity and self image rather than to rational, utilitarian notions of value. This paper aims to study about how the certain personality could build up their personal brand with Instagram as their main media from the experiential marketing view with the Analytical Hierarchy Process. Instagram fashion personal brands in Indonesia were the main source of the data collection. By the research, Sense factor is the most important strategic experiential module factor as in its relation with notable visual strength of Instagram. To be able to apply the Sense as a strategic experiential module, the consideration about tactical and practical factors are required. The 5 most important tactical factor is the Visual Elements factor, in which is about producing vivid content, Personality, a factor in terms of showing one true self, Relationship factor related to things about managing and maintaining relationships between stakeholders on Instagram environment, Signature, the factor about showing their own brand DNA, and Verbal Elements, the factor about communication in form of words. For practical factors are Image, by the image processing results and image taking directions, Apparel, with clothing combinations, style and brands, Authenticity, by being one true self, Caption, with the wording on every posts, and Brand and Followers, as brand to create a link or connection. As the implications, the fashion personal brands as the influencers could apply the key to draw attention from the audiences and make an impact to fashion enterprises in Indonesia

Estimating Common Odds Ratio with Missing Data

We derive estimates of expected cell counts for $I\times J\times K$ contingency tables where the stratum variable $C$ is always observed but the column variable $B$ and row variable $A$ might be missing. In particular, we investigate cases where only row variable $A$ might be missing, either randomly or informatively. For $2\times 2\times K$ tables, we use Taylor expansion to study the biases and variances of the Mantel-Haenszel estimator and modified Mantel-Haenszel estimators of the common odds ratio using one pair of pseudotables for data without missing values and for data with missing values, based either on the completely observed subsample or on estimated cell means when both stratum and column variables are always observed. We examine both large table and sparse table asymptotics. \\ Analytic studies and simulation results show that the Mantel-Haenszel estimators overestimate the common odds ratio but adding one pair of pseudotables reduces bias and variance. Mantel-Haenszel estimators with jackknifing also reduces the biases and variances. Estimates using only the complete subsample seem to have larger bias than those based on full data, but when the total number of observations gets large, the bias is reduced. Estimators based on estimated cell means seem to have larger biases and variances than those based only on complete subsample with randomly missing data. With informative missingness, estimators based on the estimated cell means do not converge to the correct common odds ratio under sparse asymptotics, and converge slowly for the large table asymptotics. The Mantel-Haenszel estimators based on incorrectly estimated cell means when the variable $A$ is informatively missing behave similarly to those based on the only complete subsamples. The asymptotic variance formula of the ratio estimators had smaller biases and variances than those based on jackknifing or bootstrapping. Bootstrapping may produce zero divisors and unstable estimates, but adding one pair of pseudotables eliminates these problems and reduces the variability

Thermally-induced deformation of multi-layered materials : analytical and engineering formulations

Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Materials Science and Engineering, 1996.Includes bibliographical references (p. 101-104).by Ching-Te Lin.M.S