scholarly journals Fuzzy logic approach for detecting drivers’ drowsiness based on image processing and Video streaming

Author(s):  
Jabar Yousif

<p>The driver's face is detected and extracted extra features of the eyes and mouth areas. Start the analysis process to determine the status of these parameters. Second, the Kalman filter method is used to track and manipulate the difference in the size and orientation of the captured features. The technique checks all image states such as brightness, shadows, and clarity. Third, the blur control system provides different alert sounds based on the information tracked from the face, eyes, and mouth. The proposed method uses real-time data recorded by a webcam tool in the MatlabR2016a environment. The data sample contains videos of different users of different races, whether they wear glasses, gender, and various lighting backgrounds. The proposed system achieved an accuracy of up to 94.5% in the detection driver status.</p>

2021 ◽  
Author(s):  
Jabar Yousif

<p>The driver's face is detected and extracted extra features of the eyes and mouth areas. Start the analysis process to determine the status of these parameters. Second, the Kalman filter method is used to track and manipulate the difference in the size and orientation of the captured features. The technique checks all image states such as brightness, shadows, and clarity. Third, the blur control system provides different alert sounds based on the information tracked from the face, eyes, and mouth. The proposed method uses real-time data recorded by a webcam tool in the MatlabR2016a environment. The data sample contains videos of different users of different races, whether they wear glasses, gender, and various lighting backgrounds. The proposed system achieved an accuracy of up to 94.5% in the detection driver status.</p>


2021 ◽  
Author(s):  
Jabar Yousif

<p>The driver's face is detected and extracted extra features of the eyes and mouth areas. Start the analysis process to determine the status of these parameters. Second, the Kalman filter method is used to track and manipulate the difference in the size and orientation of the captured features. The technique checks all image states such as brightness, shadows, and clarity. Third, the blur control system provides different alert sounds based on the information tracked from the face, eyes, and mouth. The proposed method uses real-time data recorded by a webcam tool in the MatlabR2016a environment. The data sample contains videos of different users of different races, whether they wear glasses, gender, and various lighting backgrounds. The proposed system achieved an accuracy of up to 94.5% in the detection driver status.</p>


2013 ◽  
Vol 738 ◽  
pp. 109-112
Author(s):  
Fu Min Lu ◽  
Ting Yao Jiang

Considering the material property of the rock to the dangerous rock mass,the paper Looks the model parameter of AR( 1) model as the status vector, and uses Kalman filter method to analysis the deformation of the dangerous rock mass. The result shows that the method can improve the accuracy of fitting and forecasting of the model.


Author(s):  
Li Meng ◽  
Haipeng Guo ◽  
Xiaowei Zhao

Monitoring the battery state is of great importance for the safety and normal of the systems which are powered by batteries. SOC (State of Charge) is one of the most important state parameters of battery. SOC cannot be measured directly. The Kalman filter algorithm is one of the techniques often applied to estimate SOC value. An accurate model is necessary for this algorithm. In this paper, a general SOC model is set up. It takes into account not only the difference between discharging and charging work conditions, but also the influence of the working atmosphere, such as temperature and discharging rate. Then based on this general model, unscented Kalman filter method is used to predict the SOC value. It can avoid the error which is caused by ignoring high-order terms, which is a shortcoming exist in the extended Kalman filter method. The simulation experiments prove the approach can get satisfactory results even when the measurement data is mixed with noise or the initial SOC value is not accurate.


2019 ◽  
Vol 203 ◽  
pp. 117-130 ◽  
Author(s):  
Bernardo Lagos-Álvarez ◽  
Leonardo Padilla ◽  
Jorge Mateu ◽  
Guillermo Ferreira

2019 ◽  
Vol 19 (1) ◽  
pp. 49
Author(s):  
Andi Miswar

The article explorer the difference of the word hijab and veil in the Qur'an verses through semantic analysis. The use of the word hijab for veil clothing is popular and both words are sometimes interpreted in the same meaning without defining the slightest difference with connotation on clothing. Moreover, through a qualitative descriptive analysis process with a lexical-semantic analysis method that used an interpretation variety technique through maudhui method with a research object in al-Qur’an verses which related to the use of the word hijab and veil, it revealed that the two words hijab and veil have a different meaning. The results revealed that the word hijab shows the meaning of covering, boundary or wall, as an intermediary which limited between men and women or between objects with another object, which aimed to prevent adversity (assimilation) with the opposite sex, and the use of the word hijab has been mentioned in the Qur'an eight times scattered in eight surah, and there is no definite editorial found that the meaning of clothes attached to a woman's body. While the use of the veil word is mentioned twice and found in two surahs, which indicated the meaning of clothing that covers the entire body of a woman, even though some people argued except covering the face and palms. Thus, this article is important because it discussed the different meanings of the use of both words in al-Qur'an through Semantic analysis, and it contributed to provide the real meaning and straighten the misunderstanding about those words both terms and understanding the related verses. Artikel ini membahas perbedaan penggunaan kata hijab dan jilbab dalam ayat-ayat al-Qur’an dengan analisis semantik . Penggunaan kata hijab untuk pakaian jilbab menjadi populer dan  kedua kata tersebut  terkadang diartikan sama tanpa memiliki perbedaan sedikitpun dengan berkonotasi pada pakaian. Namun setelah melalui proses analisis secara deskriptif kualitatif dengan metode analisis semantik leksikal yang menggunakan pendekatan berbagai teknik interpretasi dalam  metode maudhui dengan obyek penelitiannya pada ayat-ayat al-Qur’an yang berkenaan dengan penggunaan kata hijab dan jilbab, ternyata kedua kata tersebut memiliki makna yang berbeda. Hasil penelitian menunjukkan bahwa kata hijab menunjukkan makna tabir, batas atau dinding, sebagai perantara yang membatasi antara pria dan wanita atau antara satu benda dengan benda lainnya, yang bertujuan untuk mencegah ikhtilat (pembauran) dengan lawan jenis, dan dari seluruh penggunaan kata hijab yang disebut dalam al-Qur’an sebanyak delapan kali yang tersebar pada delapan surah,  tidak ditemukan secara pasti redaksi yang menunjukkan makna pakaian yang melekat pada tubuh wanita. Sementara penggunaan kata jilbab yang disebut sebanyak dua kali yang terdapat pada dua surah, keduanya menunjukkan makna pakaian yang menutupi seluruh anggota tubuh wanita, meskipun ada yang memahami kecuali muka dan telapak tangan. Dengan demikian, artikel ini menjadi penting karena mengurai  perbedaan makna penggunaan kedua kata tersebut dengan analisis semantik Qur’ani, dan berkontribusi untuk memberikan pemahaman sehingga tidak terjadi kekeliruan, baik dalam penggunaan term tersebut maupun dalam memahami ayat yang terkait.


2018 ◽  
Vol 2 (3) ◽  
pp. 111
Author(s):  
Aswindar Adhi Gumilang ◽  
Tri Pitara Mahanggoro ◽  
Qurrotul Aini

The public demand for health service professionalism and transparent financial management made some Puskesmas in Semarang regency changed the status of public health center to BLUD. The implementation of Puskesmas BLUD and non-BLUD requires resources that it can work well in order to meet the expectations of the community. The aim of this study is to know the difference of work motivation and job satisfaction of employees in Puskesmas BLUD and non-BLUD. Method of this research is a comparative descriptive with a quantitative approach. The object of this research are work motivation and job satisfaction of employees in Puskesmas BLUD and non-BLUD Semarang regency. This Research showed that Sig value. (P-value) work motivation variable was 0.019 smaller than α value (0.05). It showed that there was a difference of work motivation of employees in Puskemas BLUD and non-BLUD. Sig value (P-value) variable of job satisfaction was 0.020 smaller than α value (0.05). It showed that there was a difference of job satisfaction of BLUD and non-BLUD. The average of non-BLUD employees motivation were 76.59 smaller than the average of BLUD employees were 78.25. The average of job satisfaction of BLUD employees were 129.20 bigger than the average of non-BLUD employee were 124.26. Job satisfaction of employees in Puskesmas BLUD was higher than non-BLUD employees.


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