Analysis of hands activity for automatic driving risk detection

In the world auto market, top three companies are VW(Volkswagen), Runault-Nissan-Mistubishi, and Toyota. About some selected countries and areas, China, England, Italy, Australia, Germany, Turkey, Russia, Sweden, USA, Brazil, UAE, Japan, Vietnam and Thailand are more competitive. However, the situation is different. Seeing monopolistic market countries and areas, Saudi Arabia, Taiwan, Korea, Malaysia, France, India, and Pakistan, in particular, the influence of Japan to Taiwan, India, and Pakistan is very big. But in Korea and France, their own companies’ brands occupy the market. In Japan domestic market, the overall situation is competitive. Almost all vehicles made in Japan are Japanese brand. From now on, we have to note the development of electric vehicle (EV) and other new technologies such as automatic driving and connected car. That is because they will give a great impact on the auto industry and market of Japan. Now Japan’s auto industry is going to be consolidated into three groups, Honda, Toyota group, and Renault-Nissan-Mitsubishi group for seeking the scale merit of economy. Therefore, I will pay attention to the worldwide development of EV and other new technologies and the reorganization of auto companies groups.

Download Full-text

Fuzzy Inference Based Obstacle Avoidance Control of Electric Powered Wheelchair Considering Driving Risk

IEEJ Transactions on Electronics Information and Systems ◽

10.1541/ieejeiss.132.952 ◽

2012 ◽

Vol 132 (6) ◽

pp. 952-959 ◽

Cited By ~ 3

Author(s):

Atsushi Kiso ◽

Hiroki Murakami ◽

Hirokazu Seki

Keyword(s):

Obstacle Avoidance ◽

Fuzzy Inference ◽

Powered Wheelchair ◽

Driving Risk ◽

Avoidance Control

Download Full-text

The Influence of Potentially Fraudulent Reports on Audit Risk Assessment and Planning

The Accounting Review ◽

10.2308/accr.2001.76.1.59 ◽

2001 ◽

Vol 76 (1) ◽

pp. 59-80 ◽

Cited By ~ 28

Author(s):

D. Paul Newman ◽

Evelyn Patterson ◽

Reed Smith

Keyword(s):

Financial Reporting ◽

Planning Process ◽

Dynamic Interaction ◽

Fraudulent Financial Reporting ◽

Expected Payoff ◽

Audit Risk ◽

Audit Planning ◽

Inherent Risk ◽

Risk Detection ◽

Reported Earnings

We consider how auditors assess the risk of fraudulent financial reporting and plan their audit where a possibly fraudulent auditee anticipates the assessment and planning process. The auditor uses the auditee's (possibly fraudulent) earnings report to revise his beliefs about the likelihood of fraud when formulating an audit plan. We find that as underlying earnings increase, a fraudulent auditee increases reported earnings. In turn, as the auditee's reported earnings increase, the auditor increases audit effort. We also find that the auditee (who knows the auditor will use the report for audit planning) selects reports that increase his own expected payoff, relative to reports he would select if the auditor did not observe the report before finalizing the audit plan. By contrast, the auditor is no better off using the auditee's report for audit planning. Inherent risk, detection risk, and overall audit risk can increase when the auditor uses the auditee's report. Thus, because of the dynamic interaction between the auditor and auditee, procedures that aid in assessing audit risk may not reduce that risk or result in more efficient audits.

Download Full-text

The Multi-sensor Fusion Automatic Driving Test Scene Algorithm based on Cloud Platform

2020 Chinese Automation Congress (CAC) ◽

10.1109/cac51589.2020.9326504 ◽

2020 ◽

Author(s):

Yanbo Liu ◽

Liangren Shi ◽

Wenchao Xu ◽

Xin Xiong ◽

Weiqi Sun ◽

...

Keyword(s):

Sensor Fusion ◽

Cloud Platform ◽

Automatic Driving

Download Full-text

Significance of pepsinogen in screening for gastric intestinal metaplasia in Guangdong, China

Journal of International Medical Research ◽

10.1177/0300060521990495 ◽

2021 ◽

Vol 49 (2) ◽

pp. 030006052199049

Author(s):

Xujuan Liu ◽

Min Zhang ◽

Riyu Luo ◽

Keran Mo ◽

Xingxiang He

Keyword(s):

Logistic Regression ◽

Intestinal Metaplasia ◽

Single Factor ◽

Antibody Testing ◽

Cross Sectional ◽

Gastric Intestinal Metaplasia ◽

Risk Detection ◽

Tree Models ◽

Single Factor Analysis ◽

Serological Biomarkers

Objective Diagnosis of gastric intestinal metaplasia (GIM) relies on gastroscopy and histopathologic biopsy, but their application in screening for GIM is limited. We aimed to identify serological biomarkers of GIM via screening in Guangdong, China. Methods Cross-sectional field and questionnaire data, demographic information, past medical history, and other relevant data were collected. Blood samples were collected for pepsinogen (PG)I, PGII, gastrin-17, and Helicobacter pylori antibody testing, and gastroscopy and histopathologic biopsy were performed. Single factor and logistic regression analyses were used to evaluate the correlation between these indicators and GIM, and decision tree models were used to determine the cut-off points between indicators. Results Of 443 participants enrolled, 87 (19.6%) were diagnosed with GIM. Single factor analysis showed that pepsin indicators (PGI, PGII, and PGI/PGII ratio) and the factors Mandarin as native language, urban residency, hyperlipidemia, and age were associated with GIM. Logistic regression analysis showed that PGI and age were associated with GIM. Conclusions Age is an important factor for predicting GIM progression; age >60 years increased its risk. Detection of GIM was higher in individuals with PGI levels >127.20 ng/mL, which could be used as a threshold indicating the need to perform gastroscopy and histopathologic biopsy.

Download Full-text