Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Peer Review Share Icon Share Twitter Facebook Reddit LinkedIn Tools Icon Tools Reprints and Permissions Cite Icon Cite Search Site Citation Abhijeet Jadhav, Renuka Pawar; Road accident analysis and prediction. AIP Conf. Proc. 7 May 2024; 2853 (1): 020267. https://doi.org/10.1063/5.0197414 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentAIP Publishing PortfolioAIP Conference Proceedings Search Advanced Search |Citation Search
We propose an automotive radar system that transmits at non-uniform pulse repetition frequency (PRF) to achieve high-resolution range and Doppler estimation while transmitting sparsely along slow-time following the difference co-chirps schemes, e.g., coprime and nested chirps. At the receiver, the radar admits undersampled slow-time signals for Doppler estimation. In a single coherent processing interval (CPI), the missing Doppler samples along slow-time are interpolated via a Doppler covariance matrix that is constructed using fast-time samples. Our co-chirp joint range-Doppler estimation with Doppler de-aliasing (CoDDler) algorithm jointly estimates the range and Doppler. The Doppler spectrum obtained from the interpolated Doppler samples are utilized to de-aliase any false Doppler peaks in the sparse estimation. The proposed non-uniform PRF automotive radar provides the possibility for transmission coordination in a time division multiplexing fashion to avoid mutual interference by saving nearly 88% of time-on-target.
The aim of this study is to understand the factors that influence the attitude towards savings among Malay employees in the public sector in Malaysia. The research study has focused on both internal and external factor in understanding the influence the attitude towards savings among the employees. The internal factor in this study is savings behavior and savings culture while, the external factor is the government policy. The result of the survey that has been conducted on 769 respondents (Malay employees working in Malaysia public sector). The analysis was made using advanced multivariate statistical software of Structural Equation Modelling (SmartPLS v3). The result of the analysis found that R2 value of the model is 0.306 which indicates that the developed model has a substantial impact on the attitude towards savings. Based on the model, savings culture is the most prominent in exhibiting effect on the attitude towards savings. Keywords—government policy, savings culture, savings behavior, attitude towards savings
This study analyzes the accountability of village fund management as the only funding that is relied on, in the era of economic recession which is felt as the impact of the Covid-19 pandemic in supporting the Village SDGs policy.The study used a qualitative method with online interviews because the area of the research object was one of the black zones of the Covid-19 pandemic in Indonesia.In order to achieve accountability, the Village government avoids abuse of authority by the village head as the highest authority in the management of the Village Fund, community participation and transparency to the community in the process of managing the Village Fund and implements programs in accordance with the village typology as an independent village.Finally, the village implemented reporting procedures in accordance with applicable policies and has used SISKEUDES properly as the implementation of policy accountability.The research shows that village funds are a reliable source of funds to support the Village SDGs policy.Accountability for village fund management is a major factor that must be considered so that the sustainability of village funds is maintained.
