Estimation of Mean Time between Failures of a Two Tandem Mill of a Sugar Plant

When minutes of down-time can negatively impact the bottom line of a business, it is crucial that the physical infrastructure supporting be reliable. The equipment reliability can be achieved with a solid understanding of mean time between failures. Mean time between failures (MTBF) has been used for years as a basis for various maintenance decisions supported by various methods and procedures for lifecycle predictions. To quantifying a maintainable system or reliability we can use MTBF. For developing the mean time between failures model we can use make use of Poisson distribution, Weibull model and Bayesian model. In this paper we will be talking about complexities and misconceptions of MTBF and clarify criteria that need to be consider in estimating MTBF in a sequential manner. This paper sheds light on MTBF using examples throughout in an effort to simplify complexity. Keywords: MTBF, Two Tandem Mill, Sugar Mill, Reliability, Maintenance

Detection and Recognition of Drones Based on a Deep Convolutional Neural Network Using Visible Imagery

Drones are becoming increasingly popular not only for recreational purposes but also in a variety of applications in engineering, disaster management, logistics, securing airports, and others. In addition to their useful applications, an alarming concern regarding physical infrastructure security, safety, and surveillance at airports has arisen due to the potential of their use in malicious activities. In recent years, there have been many reports of the unauthorized use of various types of drones at airports and the disruption of airline operations. To address this problem, this study proposes a novel deep learning-based method for the efficient detection and recognition of two types of drones and birds. Evaluation of the proposed approach with the prepared image dataset demonstrates better efficiency compared to existing detection systems in the literature. Furthermore, drones are often confused with birds because of their physical and behavioral similarity. The proposed method is not only able to detect the presence or absence of drones in an area but also to recognize and distinguish between two types of drones, as well as distinguish them from birds. The dataset used in this work to train the network consists of 10,000 visible images containing two types of drones as multirotors, helicopters, and also birds. The proposed deep learning method can directly detect and recognize two types of drones and distinguish them from birds with an accuracy of 83%, mAP of 84%, and IoU of 81%. The values of average recall, average accuracy, and average F1-score were also reported as 84%, 83%, and 83%, respectively, in three classes.

First International Seminar on Physical Infrastructure (1st ISPI)

The First International Seminar on Physical Infrastructure (1st ISPI) was an academic and scientific event organized by the Road Infrastructure Research Group and the Road Infrastructure Research Seedbed of the Universidad Francisco de Paula Santander, San José de Cúcuta, Colombia; the 1st ISPI was held from October 13 to 15, 2021 The purpose of the 1st ISPI was to allow the academic and scientific community, researchers, professors, professionals, and students, to share results and research proposals in the areas of Engineering, Mathematics, and Physics; during the 1st ISPI is presented 29 research work, of which 6 were plenary lectures from Spain, Brazil, Venezuela, and Colombia, and 23 talks, on different topics that allowed to the participants the to learn about the current state of the Physical Infrastructure, the Mathematical Modeling, the Physical and Numerical Modeling, the Physicochemical Phenomena in Engineering, the Advances in Materials Science and Engineering, the Simulation of Physical- Mathematical Problems in Engineering, and the Teaching and Research Techniques in Science and Engineering. The website of the conference is available at https://foristom.org/1ispi. On behalf of the organizing committee of the 1st ISPI, we are extremely thankful to all authors and participants for providing their valuable contributions to this Proceedings volume as well as the reviewers for their constructive recommendations and criticism aiding to improve the presented articles. Likewise, we like to thank the Universidad Francisco de Paula Santander, and the Foundation of Researchers in Materials Science and Technology, for all the support technical and logistical received. Likewise, the organizing committee 1st ISPI thanks all who attended this edition of the event, and we are very proud to have carried out this event successfully that allowing the generation and effective transfer of new knowledge regarding the topics addressed during the event; we will be waiting for you at the 2nd ISPI in 2022. Finally, the editor hopes that those interested in the area of physical infrastructure can enjoy this reading, of the volume of the Journal of Physics: Conference Series (JPCS), which reflects a wide variety of current issues. List of Organizing Committee, Photos are available in this pdf.

Reflection on Rural Development: Village Fund, Village Tour, and the Covid-19 Pandemic

In 2015 the central government implemented the Village Fund program for all villages in Indonesia. The objective of this program was to accelerate poverty alleviation and promote village independence. One of the development priorities in rural areas is to achieve village independence by developing tourism villages with village funds. Meanwhile, at the end of 2019, the Covid-19 pandemic that broke out in Indonesia led to an increase in poverty in rural areas. This increased the need for assistance from village funds to help improve the welfare of the poor. In this study, the Giri Manik Village was examined because it was one of the national pilot villages in developing a tourist village using village funds. The research was conducted using a qualitative approach. Data were collected through interviews, observations, and documentation analysis. Based on the results, it can be concluded that developing the physical infrastructure of tourist villages does increase the income of the poor through cash-intensive labour. However, the benefits of tourist villages are largely enjoyed by the village elite. Keywords: village funds, tourist village, village elite, poor people, the Covid-19 pandemic

Advanced Access in Primary Health Care: experiences from Brazil and Canada

Access is the timely use of services in order to meet the needs of the user. As an alternative to the traditional model, the Advanced Access (AA) model appears in Canada , with schedules restricted to specific cases. Objectives: The purpose of this article is to analyze the existing scientific production about the Advanced Access model in Primary Health Care. Methods: Integrative literature review using the descriptors (1) “Health Care Accessibility” OR “Primary Health Care” AND and (2) "Advanced Access" in the PubMed, Scopus and BIREME databases. Selection criteria were studies published in the last five years, available in Portuguese, English or Spanish and dealing with the theme. Results: Eight studies were selected, six were grouped into two categories of analysis: “The Canadian experience with AA : a model in consolidation”; and “The Brazilian experience with AA: local experiments” and the other two contributed to enrich the discussion. The AA stands out to balance capacity and demand with physical infrastructure and adequate staff, both in the international arena, as the experiences of municipalities, improving the quality of APS. Conclusion: Studies that detail the AA in its practice, as well as the challenges and needs, can inspire other health units to study it and consider its implementation if it is appropriate for its context, aiming to improve the health and care of its population.

The city and the virus

Cities around the world are the epicentres of the coronavirus pandemic: both in the first wave, as the disease spread from East Asia, and now, as many countries enter a third wave of infections. These spatial patterns are still far from properly understood, though there is no shortage of possible explanations. I set out the emerging theories about cities’ role in the spread of coronavirus, testing these against existing studies and new analysis for English conurbations, cities and towns. Both reveal an urbanised public health crisis, in which vulnerabilities and health impacts track (a) urban structural inequalities, and (b) wider weaknesses in institutions, their capabilities and leaders. I then turn to ‘post-pandemic’ visions of future cities. I argue that this framing is unhelpful: even with mass vaccination, COVID-19 is likely to remain one of many globalised endemic diseases. Instead, ‘pandemic-resilient’ urban places will require improved economic, social and physical infrastructure, alongside better public policy. Describing such future cities is still highly speculative: I identify five zones of change.

Dialysis Adequacy among Haemodialysis Patients in Eastern Mediterranean Region: A Systematic Review and Meta-Analysis

Introduction: Dialysis adequacy is one of the most important indicators for measuring the quality of care provided in hemodialysis (HD) wards. Despite individual studies, there is still no comprehensive study about dialysis adequacy in the Eastern Mediterranean Region (EMRO). This study was conducted to evaluate the dialysis adequacy in HD patients in the EMRO. Methods: In the present systematic review and meta-analysis international (EMBASE, Scopus, PubMed, Web of Science) and national (SID, MAGIRAN) databases were searched for related articles using keywords “dialysis adequacy” and “EMRO” from 1 January 2000 to April 30, 2020. The quality of studies was studied using Hoy et al instrument. Results: Out of 966 retrieved studies, 63 studies conducted on 15462 HD patients were included. The pooled mean of KT/V and URR were 1.24 (95% CI: 1.19, 1.30) and 63.03% (95% CI: 61.31, 64.75), respectively. The pooled prevalence of Kt/V>1.2 and URR>65.0% were 42.73% (95% CI: 31.58, 53.88) and 42.52% (95% CI: 25.3, 59.7), respectively. Conclusion: The results of the present study indicate the poor dialysis adequacy in the EMRO region and the need to improve the physical infrastructure, workforce, and pieces of equipment in hemodialysis wards.

Contribution of Community Resilience to City’s Livability within the Framework of Sustainable Development

Lessons learned from the crisis in Indonesia prove that the concept of community resilience, together with community-based development, significantly affects the ability to fight against the crisis at the local and community levels. In addition to improving urban livability, today’s urban development in Indonesia must also struggle to overcome various pressures due to natural disasters. Community resilience is considered a bottom-up solution to address these problems. This study aims to see how community resilience affects settlements’ livability in Malang City, one of Indonesia’s medium-sized cities. This research also analyses the relationship between resilience and livability variables to formulate prescriptive development strategies. The research used quantitative analysis by compiling and selecting data from secondary and primary sources to formulate indicators and variables of the proposed model. Descriptive analysis and structural equation modelling were conducted using SEM-PLS. The model built from this research shows that community resilience is the main factor that shapes livability in Malang City, indicated by social life, urban environment, and economy. Important variables forming community resilience are population vulnerability, physical infrastructure, and environmental infrastructure.

Implementation of municipal adaptation plans to climate changes: Case study of Poznań

The adaptation of cities to climate change is becoming an increasingly pressing need. The choice of optimal adaptation solutions for cities is difficult as it requires an individual approach. One way of avoiding poor decisions is to use the experience of cities which have already implemented adaptation solutions. The aim of the work was to identify measures conducted as part of implementation of the municipal plan of adaptation to climate change for Poznań and to evaluate if the conducted measures complied with the adopted strategic goals specific for the research area. It was found that Poznań undertakes measures on each of the four specified strategic goals, but to a different degree. Hard measures and measures of the types: mitigation, physical infrastructure, and green infrastructure prevail. Most measures are performed in the sectors of transport and biodiversity. In addition, single cases of actions which have a negative impact on the natural environment have been identified.

Capabilities of global high-level isolation units: A pre-workshop survey

Objective: To assess experience, physical infrastructure, and capabilities of high-level isolation units (HLIUs) planning to participate in a 2018 global HLIU workshop hosted by the US National Emerging Special Pathogens Training and Education Center (NETEC). Design: An electronic survey elicited information on general HLIU organization, operating costs, staffing models, and infection control protocols of select global units. Setting and participants: The survey was distributed to site representatives of 22 HLIUs located in the United States, Europe, and Asia; 19 (86%) responded. Methods: Data were coded and analyzed using descriptive statistics. Results: The mean annual reported budget for the 19 responding units was US$484,615. Most (89%) had treated a suspected or confirmed case of a high-consequence infectious disease. Reported composition of trained teams included a broad range of clinical and nonclinical roles. The mean number of HLIU beds was 6.37 (median, 4; range, 2–20) for adults and 4.23 (median, 2; range, 1–10) for children; however, capacity was dependent on pathogen. Conclusions: Responding HLIUs represent some of the most experienced HLIUs in the world. Variation in reported unit infrastructure, capabilities, and procedures demonstrate the variety of HLIU approaches. A number of technical questions unique to HLIUs remain unanswered related to physical design, infection prevention and control procedures, and staffing and training. These key areas represent potential focal points for future evidence and practice guidelines. These data are important considerations for hospitals considering the design and development of HLIUs, and there is a need for continued global HLIU collaboration to define best practices.