High-Frequency, Azimuthal, Sonic LWD Tool Helps to Improve Compressional Velocity Processing in Formations with Harsh Logging Conditions: Case Study

2020 ◽  
Author(s):  
Mihira Narayan Acharya ◽  
Abdul Mohsen Al-Mershed ◽  
Anar Abdulkarim
Keyword(s):  
High Frequency ◽  
Compressional Velocity

Case study: Simulation and control of high frequency noise for commercial vehicle cab considering leak

2019 ◽  
Vol 67 (4) ◽  
pp. 315-329
Author(s):  
Rongjiang Tang ◽  
Zhe Tong ◽  
Weiguang Zheng ◽  
Shenfang Li ◽  
Li Huang
Keyword(s):  
High Frequency ◽  
Commercial Vehicle ◽  
Frequency Noise ◽  
High Frequency Noise ◽  
Simulation And Control ◽  
And Control

What Kind of People Use Carsharing for Commuting? Case Study in Shanghai

2019 ◽  
Vol 2673 (5) ◽  
pp. 770-778 ◽  
Author(s):  
Jianhong Ye ◽  
Daoge Wang ◽  
Hua Zhang ◽  
Hong Yang
Keyword(s):  
High Frequency ◽  
Urban Areas ◽  
Descriptive Analysis ◽  
User Characteristics ◽  
Logistic Regression Models ◽  
Highly Educated ◽  
Suburban Areas ◽  
Commuting Mode ◽  
Study Offer

Carsharing as a service has been growing rapidly worldwide. Its expansion has drawn wide attention in the research community with regard to the underlying driving factors and user characteristics. Despite these extensive investigations, there are still limited studies focusing on the examination of users using carsharing as a commuting mode. The answers to questions such as what kind of people would like to use carsharing for commuting and why they frequently use carsharing to commute are not clear. To enrich our understanding of these problems, this paper aims to investigate carsharing commuters in a mega city. Specifically, it intends to integrate the actual user order data with survey data from 1,920 participants to uncover the characteristics of carsharing commuters. Data from the Evcard carsharing systems in Shanghai were explicitly analyzed. Through descriptive analysis and logistic regression models, the characteristics and critical factors that affect the choice of carsharing as a commuting mode were captured. The results show that: 1. carsharing commuters mostly live or work in suburban areas in which public transport accessibility is limited; 2. carsharing commuters are more likely to be highly educated, in a higher income bracket, and older than other carsharing members; 3. high-frequency carsharing commuters own a reduced number of private cars; and 4. those high-frequency carsharing commuters with higher income are less sensitive to the carsharing costs caused by congestion. The findings in the study offer some insights into carsharing commuters and provide some supportive information for considering policies in developing carsharing systems in urban areas.

HFTViz: Visualization for the exploration of high frequency trading data

2021 ◽  
pp. 147387162110649
Author(s):  
Javad Yaali ◽  
Vincent Grégoire ◽  
Thomas Hurtut
Keyword(s):  
Portfolio Management ◽  
High Frequency ◽  
High Speed ◽  
High Frequency Trading ◽  
Domain Experts ◽  
Risk Return ◽  
Visualization Tools ◽  
Liquidity Measures ◽  
Trading Volumes

High Frequency Trading (HFT), mainly based on high speed infrastructure, is a significant element of the trading industry. However, trading machines generate enormous quantities of trading messages that are difficult to explore for financial researchers and traders. Visualization tools of financial data usually focus on portfolio management and the analysis of the relationships between risk and return. Beside risk-return relationship, there are other aspects that attract financial researchers like liquidity and moments of flash crashes in the market. HFT researchers can extract these aspects from HFT data since it shows every detail of the market movement. In this paper, we present HFTViz, a visualization tool designed to help financial researchers explore the HFT dataset provided by NASDAQ exchange. HFTViz provides a comprehensive dashboard aimed at facilitate HFT data exploration. HFTViz contains two sections. It first proposes an overview of the market on a specific date. After selecting desired stocks from overview visualization to investigate in detail, HFTViz also provides a detailed view of the trading messages, the trading volumes and the liquidity measures. In a case study gathering five domain experts, we illustrate the usefulness of HFTViz.

Structural-Acoustic Design at High Frequency Using the Energy Finite Element Method

1995 ◽  
Author(s):  
Robert J. Bernhard ◽  
John E. Huff
Keyword(s):  
Finite Element Method ◽  
Finite Element ◽  
High Frequency ◽  
Energy Flow ◽  
Flow Analysis ◽  
Element Formulation ◽  
Joint Models ◽  
Energy Flow Analysis ◽  
Element Method

Abstract Energy flow analysis methods, particularly as implemented using the finite element method, are useful as design techniques for high frequency structural-acoustic applications. In this paper, the derivation of energy flow analysis techniques are summarized. Particular attention is given to the specification of joint models for situations where there is a discontinuity in either geometric properties or material properties. The finite element formulation of this approach is also summarized. A case study is included to illustrate the utility of the method as a design technique.

Gender Roles and Memory Loss in Old Age: An Exploration of Linkages

1986 ◽  
Vol 22 (3) ◽  
pp. 205-214 ◽  
Author(s):  
Elizabeth W. Markson
Keyword(s):  
Gender Roles ◽  
Old Age ◽  
High Frequency ◽  
Memory Loss ◽  
Group Affiliation ◽  
Study Approach ◽  
Episodic Memories ◽  
Working Class Women

A framework relating gender roles, role loss, and memory is presented. For the now-old woman, her identity has usually been defined by her roles within the family; other personal touchstones have been less legitimate. In old age, when key family roles dwindle, many women who have relied on their families as sources of identity are placed in an anomic situation, especially women with limited resources. When few meaningful social roles exist in the present, memory becomes increasingly important as a link to develop and maintain the self. It is proposed that, without meaningful present roles to frame one's past experience, memory is likely to be characterized by a high frequency of nonintegrated, relatively meaningless relationships, in turn leading to a narrowing of horizons and inability to take the role of the other. Episodic memories may decay since present events have no interest and generic memory becomes impaired. A case study approach is used to examine the relationship between self-preoccupation, group affiliation, object relations, and memory loss among three older working-class women. Their speech patterns, specifically pronoun use, were analyzed and support the postulate that a high frequency of self-references indicates memory loss and paucity of present experience.

scholarly journals Using high-frequency phosphorus monitoring for water quality management: a case study of the upper River Itchen, UK

2020 ◽  
Vol 192 (3) ◽  
Author(s):  
Gary R. Fones ◽  
Adil Bakir ◽  
Janina Gray ◽  
Lauren Mattingley ◽  
Nick Measham ◽  
...  
Keyword(s):  
Water Quality ◽  
Quality Management ◽  
High Frequency ◽  
Water Quality Management

scholarly journals Earthquake prediction from high frequency groundwater level data: A case study from Gujarat, India

HydroResearch ◽  
2020 ◽  
Vol 3 ◽  
pp. 118-123
Author(s):  
M. Senthilkumar ◽  
D. Gnanasundar ◽  
B. Mohapatra ◽  
A.K. Jain ◽  
Anoop Nagar ◽  
...  
Keyword(s):  
Earthquake Prediction ◽  
Groundwater Level ◽  
High Frequency ◽  
Level Data
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