Type Of Identification Method Research Articles

A Review on Identification Methods of Road Friction Coefficient

Background: The development of the tire/road friction coefficient measurement and estimation system has far-reaching significance for the active electronic control safety system of automobiles and is one of the core technologies for autonomous driving in the future. Objective: Estimating the road friction coefficient accurately and in real-time has become the leading research direction. Researchers have used different tools and proposed different algorithms and patents. These methods are widely used to estimate the road friction coefficient or other related parameters. This paper gives a comprehensive description of the research status in the field of road friction coefficient estimation. Method: According to the current research status of Chinese and foreign scholars in the field of road friction coefficient recognition, the recognition methods are mainly divided into two categories: Cause-based and Effect-based. Results: This literature review will discuss the existing two types of identification methods (Cause-based and Effect-based), and the applicable characteristics of each algorithm are analyzed. Conclusion: The two recognition methods are analyzed synthetically, and the development direction of road friction coefficient recognition technology is discussed.

Literature review and prospect of the development and application of FMEA in manufacturing industry

In order to enable failure mode and effects analysis (FMEA) to play a better quality control role in complex manufacturing products or systems, the current research status of FMEA is reviewed from failure mode identification, risk assessment, and industrial standard application. Firstly, the research status of system failure identification is summarized from the following aspects: the breakthrough point of identification, the types of identification methods, and the normalized description of failure modes. Then, sort out the research status of risk assessment from five aspects: risk factor evaluation criteria, risk assessment opinion expression, expert opinion consensus, risk opinion assessment aggregation, and sensitivity analysis, and find out research hotspots and blind spots; finally, the changes of FMEA standards in various fields are summarized and compared, and the future development trend of FMEA in the context of intelligent manufacturing is discussed.

Thank you for asking: Exploring patient perceptions of barcode medication administration identification practices in inpatient mental health settings

BackgroundBarcode medication administration systems have been implemented in a number of healthcare settings in an effort to decrease medication errors. To use the technology, nurses are required to login to an electronic health record, scan a medication and a form of patient identification to ensure that these correspond correctly with the ordered medications prior to medication administration. In acute care settings, patient wristbands have been traditionally used as a form of identification; however, past research has suggested that this method of identification may not be preferred in inpatient mental health settings. If barcode medication administration technology is to be effectively used in this context, healthcare organizations need to understand patient preferences with regards to identification methods. PurposeThe purpose of this study was to elicit patient perceptions of barcode medication administration identification practices in inpatient mental health settings. Insights gathered can be used to determine patient-centered preferences of identifying patients using barcode medication administration technology. MethodsUsing a qualitative descriptive approach, fifty-two (n=52) inpatient interviews were completed by a Peer Support Worker using a semi-structured interview guide over a period of two months. Interviews were conducted in a number of inpatient mental health areas including forensic, youth, geriatric, acute, and rehabilitation services. An interprofessional team, inclusive of a Peer Support Worker, completed a thematic analysis of the interview data. ResultsSix themes emerged as a result of the inductive data analysis. These included: management of information, privacy and security, stigma, relationships, safety and comfort, and negative associations with the technology. Patients also indicated that they would like a choice in the type of identification method used during barcode medication administration. As well, suggestions were made for how barcode medication administration practices could be modified to become more patient-centered. ConclusionThe results of this study have a number of implications for healthcare organizations. As patients indicated that they would like a choice in the type of identification method used during barcode medication administration, healthcare organizations will need to determine how they can facilitate this process. Furthermore, many of the concerns that patients had with barcode medication administration technology could be addressed through patient education.

Learning disability identification consistency: The impact of methodology and student evaluation data.

Learning disability (LD) identification has long been controversial and has undergone substantive reform. This study examined the consistency of school psychologists' LD identification decisions across three identification methods and across student evaluation data conclusiveness levels. Data were collected from 376 practicing school psychologists from 22 states. Eighty-three percent (n = 313) of participants were female. Ninety-one percent (n = 342) of participants identified as Caucasian, 4% (n = 15) Latino, 1.3% (n = 5) African American, .8% (n = 3) Asian/Pacific Islander, .3% (n = 1) Native American/Alaskan Native, and 1.3% (n = 5) 2 or more races. Participants were randomly assigned to 1 of 9 conditions and used 1 type of identification method and examined 1 type of student evaluation data to determine if a student should be identified with LD. Results showed that overall identification consistency was somewhat low (73.7%, κ = .45) There were no differences in identification consistency across identification methods χ2(2, N = 376) = 3.78, p = .151, but there were differences in identification consistency across conclusiveness levels of student evaluation data χ2(2, N = 376) = 50.40, p = .0001. Implications for practice, training, and research are also discussed, including the need of school psychologists to consider psychometric issues in LD identification as well as the need to further research the impact of student data conclusiveness in LD identification. (PsycINFO Database Record

경량화된 얼굴 특징 정보를 이용한 스마트 카드 사용자 인증

지금까지 스마트 카드의 사용자 인증은 단말기에서 PIN(Personal Information Number)을 대조하는 MOT(Match On Terminal)방식으로 이루어져 왔다. 이러한 기존의 방법은 사용자의 망각이나 분실로 인해 PIN정보가 유출될 위험이 있으며, 단말기에서 사용자 정보를 대조하기 때문에 사용자 정보에 대한 불법적인 접근 가능성이 높다. 따라서, 본 논문은 PIN방식과 비교하여 현저히 분실과 망각 위험이 낮은 생체정보를 이용하는 MOC(Match On Card)방식 사용자 인증 방법을 제안한다. 이를 위해, 제한적인 저장 공간을 가지고 있는 스마트 카드에도 저장 할 수 있는 저용량의 얼굴 생체벡터를 구성하고 낮은 연산속도를 가진 스마트 카드에서 실시간으로 매칭 결과를 알아 낼 수 있는 단순한 매칭 알고리즘을 제안한다. PIN(Personal Identification Number)-based identification method has been used to identify the user of smart cards. However, this type of identification method has several problems. Firstly, PIN can be forgotten by owners of the card. Secondly, PIN can be used by others illegally. Furthermore, the possibility of hacking PIN can be high because this PIN type matching process is performed on terminal. Thus, in this paper we suggest a new identification method which is performed on smart card using face feature information. The proposed identification method uses low-sized face feature vectors and simple matching algorithm in order to get around the limits in computing capability and memory size of smart card.