Driving Speed Estimation and Trapped Drivers’ Detection inside Tunnels Using Distributed MIMO Bluetooth Devices

Accidents in highway tunnels involving trucks carrying flammable cargoes can be dangerous, needing immediate confrontation to detect and safely evacuate the trapped people to lead them to the safety exits. Unfortunately, existing sensing technologies fail to detect and track trapped persons or moving vehicles inside tunnels in such an environment. This paper presents a distributed Bluetooth system architecture that uses detection equipment following a MIMO approach. The proposed equipment uses two long-range Bluetooth and one BLE transponder to locate vehicles and trapped people in motorway tunnels. Moreover, the detector’s parts and distributed architecture are analytically described, along with interfacing with the authors’ resources management system implementation. Furthermore, the authors also propose a speed detection process, based on classifier training, using RSSI input and speed calculations from the tunnel inductive loops as output, instead of the Friis equation with Kalman filtering steps. The proposed detector was experimentally placed at the Votonosi tunnel of the EGNATIA motorway in Greece, and its detection functionality was validated. Finally, the detector classification process accuracy is evaluated using feedback from the existing tunnel inductive loop detectors. According to the evaluation process, classifiers based on decision trees or random forests achieve the highest accuracy.

Evaluating Research Trends from Journal Paper Metadata, Considering the Research Publication Latency

Investigating the research trends within a scientific domain by analyzing semantic information extracted from scientific journals has been a topic of interest in the natural language processing (NLP) field. A research trend evaluation is generally based on the time evolution of the term occurrence or the term topic, but it neglects an important aspect—research publication latency. The average time lag between the research and its publication may vary from one month to more than one year, and it is a characteristic that may have significant impact when assessing research trends, mainly for rapidly evolving scientific areas. To cope with this problem, the present paper is the first work that explicitly considers research publication latency as a parameter in the trend evaluation process. Consequently, we provide a new trend detection methodology that mixes auto-ARIMA prediction with Mann–Kendall trend evaluations. The experimental results in an electronic design automation case study prove the viability of our approach.

Toward Piano Teaching Evaluation Based on Neural Network

With the rise of piano teaching in recent years, many people participated in the team of learning steel playing. However, expensive piano teaching fees and its unique one-to-one teaching model have caused piano education resources to be very short, so learning piano performance has become a very extravagant event. The factors affecting music performance are varying, and there are many types of their evaluation such as rhythm, expressiveness, music, and style grasp. The computer is used to simulate this evaluation process to essentially identify the mathematical relationship between factors affecting music performance and evaluation indicators. The use of computer multimedia software for piano teaching has become a feasible way to alleviate the contradiction. This paper discusses the implementation method of piano teaching software, the issues of computer piano teaching, the computer teaching as one-way knowledge, and the lack of interaction. The neural network (NN) model is used to evaluate the piano performance and simulate teachers to guide students through their exercise. The performance of the proposed system is tested for the piano music of “Ode to Joy,” which is different from the collection of NN training samples, and is delivered ten times by another piano teacher, student A (piano level 6), and student B (piano level 5).

Kewenangan Dewan Perwakilan Daerah Dalam Pengawasan Peraturan Daerah

Regional Representative Council (Dewan Perwakilan Daerah/DPD) is a constitution organ. This one of state institutions is established and empowered by the 1945 Constitution. The existence of the Regional Representative Council is regulated in the provision of Chapter VII Article 22 C and Article 22 D of the 1945 Constitution. The authorities and duties of the Regional Representative Council is regulated in No. 2/2018 of Law about the People’s Consultative Assembly (MPR), the House of Representative (DPR), the Regional Representative Council (DPD), and the Regional People’s Representative Council (DPRD). One of the Regional Representative Council’s authorities in the Law No. 2/2018 is able to monitor and evaluate the regional regulations plan and the regional regulations. However, since the verdict of Constitutional Court No. 137/PUU XIII/2015 and 56/PUU-XIV/2016 about revocation of the government authority (central) to nullify (executive review) the regional regulation, the authority of the Regional Representative Council in monitoring the regional regulations plan and the regional regulations is weakened and not clear. The nullification of the regional regulation(s) is owned by judicial institution only, such as the Supreme Court (MA). In fact, the Regional Representative Council should be as a representative council that can associate those two interests at once, the central government in top down way and regional interest in bottom up way. How does the Regional Representative Council align those two waves of interests at once through the regional regulation(s)? This research uses statute approach, by examining the related laws about law issues which is already analyzed and also uses conceptual approach, which starts from the point of views and developed doctrines in the legal studies. Based on the research results, it was known that the verdict of the Constitutional Court did not eliminate the control of the central government, in this case was the Regional Representative Council to the regional government, including the making of the regency/city regional regulations. But, this control was not in the shape of testing or nullifying the regional regulations. The Regional Representative Council in consort with the ministry, and governor as the representative of the central government should do some evaluation process on each regional regulations plan.

Challenges of Uncertainty in Sustainable Strategy Development: Reconsidering the Key Performance Indicators

The planning and development of the university strategy is closely linked to the university’s current performance, key priorities, and capabilities. A systematic literature review of factors that influence decision-making for strategy development has been applied in this research. To determine the external factors that influence strategic decision-making for universities nowadays there has been chosen a structure from the PESTLE analysis. The systematic literature review was limited to only higher education factor analysis. Based on the literature review, the authors have developed an approach for strategic direction evaluation and ongoing key performance indicator analysis. The approach is based on the Importance-Performance Matrix–IPA and developed further to include a comprehensive analysis of the strategic directions, organizational sources, and capabilities. An assessment of the university’s main strategic priorities with influencing factor analysis can be done using the developed approach adapted by the authors. It integrates the principles of resource-based strategy, key stakeholder engagement and creating shared value in the strategy development process. The adapted method was used in the 3rd generation university strategy development. The research contributes to the literature on a systematic approach development in the strategy evaluation process. This article puts emphasis on the resource-based view and key stakeholder involvement in the evaluation process.

A Real Time Algorithm for Versatile Mode Parking System and Its Implementation on FPGA Board

This paper presents the design and development of a technique for an Autonomous and Versatile mode Parking System (AVPS) that combines a various number of parking modes. The proposed approach is different from that of many developed parking systems. Previous research has focused on choosing only a parking lot starting from two parking modes (which are parallel and perpendicular). This research aims at developing a parking system that automatically chooses a parking lot starting from four parking modes. The automatic AVPS was proposed for the car-parking control problem, and could be potentially exploited for future vehicle generation. A specific mode can be easily computed using the proposed strategy. A variety of candidate modes could be generated using one developed real time VHDL (VHSIC Hardware Description Language) algorithm providing optimal solutions with performance measures. Based on simulation and experimental results, the AVPS is able to find and recognize in advance which parking mode to select. This combination describes full implementation on a mobile robot, such as a car, based on a specific FPGA (Field-Programmable Gate Array) card. To prove the effectiveness of the proposed innovation, an evaluation process comparing the proposed technique with existing techniques was conducted and outlined.

Living kidney donation and reasons for denial: A report from a Brazilian single-center cross-sectional study

Chronic kidney disease is increasingly more prevalent worldwide, and kidney transplant remains the best option for patient survival. Living kidney transplants (LKT) pose advantages over deceased donor transplants, such as longer graft survival, lower ischemia time, and better HLA match. However, LKT is not always attainable for multiples reasons, with the absence of a suitable living donor being a significant barrier. Therefore, meticulous donor screening must be performed in order to guarantee donation safety. We examined medical appointments of living kidney donors evaluated at Hospital do Rim, São Paulo, between January and December 2020. Reasons for not proceeding with the donation were evaluated and were categorized as medical, surgical, immunological, psychosocial, or other. A total of 506 donor -receptor pairs were enrolled for evaluation during the study period. More than half of screened donor -receptor pairs (N=296, 58.5%) were not considered feasible for LKT. The primary cause for refusal was medical contraindication (32.1%), followed by immune (21.3%) and social (19.3%) causes. In addition, a considerable proportion of patients voluntarily withdrew themselves at variable time points during the evaluation process (N=79). In our center, most patients did not meet the criteria for kidney donation owing to medical reasons, similarly to other centers, and this reflects the importance of meticulous donor screening. In addition, the current Covid -19 pandemic affected the living transplant program, contributing to delayed complete donor and receptor evaluation.

Research on User Experience of Sports Smart Bracelet Based on Fuzzy Comprehensive Appraisal and SSA-BP Neural Network

Due to the marked increase in the prevalence of overweight and obesity worldwide and an environment leading to a series of chronic diseases, physical exercise is an important way to prevent chronic diseases. Additionally, a good exercise smart bracelet can bring convenience to physical exercise. Quick and accurate evaluation of smart sports bracelets has become a hot topic and draws attention from both academic researchers and public society. In the literature, the analytic hierarchy process (AHP) and entropy weight method (EWM) were used to obtain the weights from both subjective and objective perspectives, which were integrated by the comprehensive weighting method, and furthermore the performance of sports smart bracelet was evaluated through fuzzy comprehensive evaluation. Also, to avoid complex weight calculations caused by the comprehensive weighting method, machine learning methods are used to model the structure and contribute to the comprehensive evaluation process. However, few studies have investigated all previous elements in the comprehensive evaluation process. In this study, we consider all previous parts when evaluating smart sports bracelets. In particular, we use the sparrow search algorithm (SSA) to optimize the backpropagation (BP) neural network for constructing the comprehensive score prediction model of the sports smart bracelet. Results show that the sparrow search algorithm-optimized backpropagation (SSA-BP) neural network model has good predictive ability and can quickly obtain evaluation results on the premise of effectively ensuring the accuracy of the evaluation results.

Explaining the Status of Clinical Nursing Education: A Qualitative Research in Iran

Background: Challenges and problems of clinical nursing education are the most important factor in determining the quality of nursing students' education. Frequent assessment of the quality of nursing education without considering the existing challenges is an ineffective activity in analyzing the situation of nursing education. Objectives: This study aimed to explain the status of clinical nursing education at Jahrom University of Medical Sciences in Iran. Methods: This qualitative study based on the conventional content analysis approach was conducted at Jahrom University of Medical Sciences in 2018 - 2019. Data were collected through holding 10 semi-structured face-to-face focus group discussions (FGDs) with 110 nurses, head nurses, instructors, and students. Purposeful sampling was used and the interviews were analyzed by Graneheim and Lundman method by MAXQDA Software. Results: We obtained 626 in-vivo codes, 46 primary codes, eight subcategories (lack of attention to the evaluation process, non-participative evaluation, low staff educational cooperation, ineffective instructors, non-educational clinical space, student educational deficits, students' confusion in the clinical setting, and non-participatory planning), and three main categories (planning challenges, implementing challenges, and evaluation challenges). Conclusions: Educational leaders are recommended to shift to three areas, including democratic planning, wise implementation with frequent monitoring, and the use of modern clinical evaluation methods based on the participation of learners and other stakeholders.