Automatic Warning Research Articles

FUN DAY – MITIGASI BENCANA SDN 1 POMAHAN KECAMATAN PULUNG KABUPATEN PONOROGO

Pomahan Village is a village located in Pulung Subdistrict, Ponorogo Regency which is included in a high-lying area that is very vulnerable to natural disasters that will occur. In accordance with the problems that occur that Pomahan village is very vulnerable to natural disasters landslides. As we know that natural disasters of landslides do not have automatic warnings from an early age so it is important that there are efforts to minimize the impact caused by disasters carried out by all layers of the local community, commonly referred to as disaster mitigation. Disaster mitigation is a series of efforts to reduce disaster risk, both through physical development and awareness and capacity building in the face of disaster threats (Law 24/2007). The purpose of this activity is to change behavior and bring out insights or awareness from within as a result of changes in a positive mindset. The method used is planning, program implementation, and evaluation.

Cloud forecasting system for monitoring and alerting of energy use by home appliances

Inrecentyears,energy information systems have had an important role in the operational optimization of intelligent buildings to provide such benefits as high efficiency, energy savings and smart services. Interest in the intelligent management of home energy consumption using data mining and time series analysis is increasing. Therefore, this work develops an efficient web-based energy information management system for the power consumption of home appliances that monitors the energy load of a home, analyzes its energy consumption based on machine learning, and then sends information to various stakeholders. It interacts with the end-user through energy dashboards and emails. The web-based system includes a novel hybrid artificial intelligence model to improve its prediction of energy usage. An automatic warning function is also developed to identify anomalous energy consumption in a home in real time. The cloud system automatically sends a message to the user's email whenever a warning is necessary. End-users of this system can use forecast information and anomalous data to enhance the efficiency of energy usage in their buildings especially during peak times by adjusting the operating schedule of their appliances and electrical equipment.

Effect of nonpharmacological interventions for the prevention of delirium in the intensive care unit: A systematic review and meta-analysis

PurposeWe aimed to classify nonpharmacological interventions used for preventing delirium in the intensive care unit (ICU), and estimate their effect size. Materials and methodsIn this systematic review and meta-analysis, the literature was searched and studies were selected based on the PRISMA flow chart. Data sources included MEDLINE, Cochrane, CINHAHL, PsyInfo, and EMBASE. We used Cochrane's Effective Practice and Organisation of Care (EPOC) criteria in study design and quality assessment of the meta-analysis. ResultsThis systematic review and meta-analysis included 35 and 15 studies, respectively. Studies were grouped into nine intervention types: multicomponent (16 studies), physical environment (9), daily interruption of sedation (2), exercise (2), patient education (2), automatic warning system (1), cerebral hemodynamics improving (1), family participation (1), and sedation reducing protocol (1). The effect size of preventive nonpharmacological interventions had an odds ratio (OR) of 0.66 (95% confidence interval [CI], 0.50–0.86) for delirium occurrence, and an OR of 0.31 (95% CI, 0.10–0.94) for delirium duration. Although relevant studies by interventions were lacking, a partial subgroup analysis by intervention was performed. ConclusionsNonpharmacological interventions were effective in reducing the duration and occurrence of delirium. Consistent application and development of nonpharmacological interventions for use in the ICU are important.

ASAP: A new global early warning system to detect anomaly hot spots of agricultural production for food security analysis

Monitoring crop and rangeland conditions is highly relevant for early warning and response planning in food insecure areas of the world. Satellite remote sensing can obtain relevant and timely information in such areas where ground data are scattered, non-homogenous, or frequently unavailable. Rainfall estimates provide an outlook of the drivers of vegetation growth, whereas time series of satellite-based biophysical indicators at high temporal resolution provide key information about vegetation status in near real-time and over large areas. The new early warning decision support system ASAP (Anomaly hot Spots of Agricultural Production) builds on the experience of the MARS crop monitoring activities for food insecure areas, that have started in the early 2000's and aims at providing timely information about possible crop production anomalies. The information made available on the website (https://mars.jrc.ec.europa.eu/asap/) directly supports multi-agency early warning initiatives such as for example the GEOGLAM Crop Monitor for Early Warning and provides inputs to more detailed food security assessments that are the basis for the annual Global Report on Food Crises. ASAP is a two-step analysis framework, with a first fully automated step classifying the first sub-national level administrative units into four agricultural production deficit warning categories. Warnings are based on rainfall and vegetation index anomalies computed over crop and rangeland areas and are updated every 10 days. They take into account the timing during the crop season at which they occur, using remote sensing derived phenology per-pixel. The second step involves the monthly analysis at country level by JRC crop monitoring experts of all the information available, including the automatic warnings, crop production and food security-tailored media analysis, high-resolution imagery (e.g. Landsat 8, Sentinel 1 and 2) processed in Google Earth Engine and ancillary maps, graphs and statistics derived from a set of indicators. Countries with potentially critical conditions are marked as minor or major hotspots and a global overview is provided together with short national level narratives.

Development and Application of Big Data Platform for “Bohai granary”

In order to effectively solve series of problems which affect grain production in implementation of the “Bohai granary” project, such as the wide varieties of factors (including soil fertility, soil salinity, pH, underground water level, water salinity, crop varieties and management etc.), the huge spatial and temporal variability, the difficulty of real-time information collection, the complexity of analysis and processing etc., a “Bohai granary” big data platform is developed. With the invention of “Shennong IOAT” series of sensing equipment, the acquisition of multi-site real-time synchronization field information is achieved. And by combining a variety of data collection methods, the collection of factors comprehensively affecting the grain production has been realized. Based on the Hadoop big data platform, it becomes a reality to store, analyze and apply the collected data efficiently. Through the big data platform, the precise management of grain production, the automatic warning of soil moisture content, the disaster and typical insect damage in crop growth, and the automatic control of typical link production are all achieved.

The system of early warning on strong sub-crustal earthquakes of the Vrancea zone

The article is devoted to the issue of seismological monitoring and automatic warning of the personnel of potentially hazardous manufactures on the approaching of seismic threat and warning the population, in order to advance their preparation and minimize negative consequences. International experience of creating a system of early warning of earthquakes has been analyzed. The main factors, which determine the seismicity of the territory of Ukraine, have been considered. A model of the system of early earthquake warning for the objects of critical infrastructure of Ukraine has been proposed.

Acute kidney injury; improving the communication from secondary to primary care

Acute kidney injury (AKI) is a common but preventable event in secondary care. It is known to be associated with poorer outcomes for the patient's future health. Patients therefore require...

Disinhibition and train driver performance

Despite the gradual adoption of technology in the rail industry, such as automatic warning systems (AWS), train driving still remains a relatively complex form of human performance. In this paper we examine the key contextual and psychological factors that influence train driving performance and driving-related incidents. We argue that goal conflicts such as on time running and safe train management can contribute to poor driving performance and increased risk of incidents for disinhibited drivers. By drawing on a well-established model of disinhibition, namely, the response modulation model of Patterson and Newman (1993), we explain how impulsive behavior and negative emotions can arise in individuals with high threat sensitivity and low working memory when facing approach-avoidance conflict (a form of goal conflict). Disinhibited train drivers, we propose, have difficulty switching attention between competing tasks, which contributes to poor driving performance and increased risk of incidents. We also present the results from an experimental study involving 56 experienced train drivers that provides evidence in support of this proposition. Finally, we believe that the methods and measures used in this study could eventually improve the way train drivers are selected and trained.

Design of Dual Mode RFID Antenna for Inventory Management and IV Fluid Level Warning System

Radio frequency identification (RFID) readers are powered RF devices that communicate with an RFID tag to read necessary information. Using this capability, a dual use system for short distance inventory management and moderate distance automatic warning system for low intravenous (IV) fluid levels is designed. The RFID is affixed on the IV drip bag; the fluid in bag affects the antenna transmission distance by fluid dielectric conditions. This allows for two different operational modes (moderate and short distance). For pharmaceutical management, a handheld RFID reader can be used for short distance application. Another stationary RFID system can serve as a warning system for long distance application such as hospital care.

Prevention of railway trespassing by automatic sound warning—A pilot study

ABSTRACTObjective: The objective of this study was to investigate the effects of a sound warning system on the frequency of trespassing at 2 pilot test sites in Finland.Methods: The effect of automatic prerecorded sound warning on the prevention of railway trespassing was evaluated based on observations at 2 test sites in Finland. At both sites an illegal footpath crossed the railway, and the average daily number of trespassers before implementation of the measures was about 18 at both sites.Results: The results showed that trespassing was reduced at these sites by 18 and 44%, respectively. Because of the lack of proper control sites, it is possible that the real effects of the measure are somewhat smaller.Conclusions: The current study concludes that automatic sound warning may be efficient and cost effective at locations where fencing is not a viable option. However, it is not likely to be a cost-effective panacea for all kinds of sites where trespassing occurs, especially in countries like Finland where trespassing is scattered along the railway network rather than concentrated to a limited number of sites.

Automatic Early Warning for Vehicles Accidents Based on User Location

Automatic Early Warning for Vehicles Accidents Based on User Location

Zebra-Crossing Automatic Recognition and Early Warning for Intelligent Driving

Zebra-Crossing Automatic Recognition and Early Warning for Intelligent Driving

A novel framework for intelligent surveillance system based on abnormal human activity detection in academic environments

Abnormal activity detection plays a crucial role in surveillance applications, and a surveillance system that can perform robustly in an academic environment has become an urgent need. In this paper, we propose a novel framework for an automatic real-time video-based surveillance system which can simultaneously perform the tracking, semantic scene learning, and abnormality detection in an academic environment. To develop our system, we have divided the work into three phases: preprocessing phase, abnormal human activity detection phase, and content-based image retrieval phase. For motion object detection, we used the temporal-differencing algorithm and then located the motions region using the Gaussian function. Furthermore, the shape model based on OMEGA equation was used as a filter for the detected objects (i.e., human and non-human). For object activities analysis, we evaluated and analyzed the human activities of the detected objects. We classified the human activities into two groups: normal activities and abnormal activities based on the support vector machine. The machine then provides an automatic warning in case of abnormal human activities. It also embeds a method to retrieve the detected object from the database for object recognition and identification using content-based image retrieval. Finally, a software-based simulation using MATLAB was performed and the results of the conducted experiments showed an excellent surveillance system that can simultaneously perform the tracking, semantic scene learning, and abnormality detection in an academic environment with no human intervention.

A new French flash flood warning service

The French State services in charge of flood forecasting supervise about 22,000 km among the 120,000 km of the French rivers within a warning procedure called Vigilance Crues (http://www.vigicrues.gouv.fr ). Some recent dramatic flood events on small watershed not covered by Vigilance Crues highlight the need for a new warning procedure to anticipate violent flash floods that regularly affect rapid river-basins. Thus the concept emerged of an automatic warning service specifically dedicated to local crisis managers. This service will be less elaborated than Vigilance Crues, probably with false alarms and missed events sometimes, but it will deliver a first information. The generation of the warning is based on a simple rainfall-runoff hydrological model developed by Irstea on all French rivers, fed with radar-gauge rainfall grids provided by Meteo-France. Every fifteen minutes, the hydrological model estimates the discharges on the rivers eligible to the service and determine if certain thresholds corresponding to a high or very high flood are likely to be exceeded. The last step of the real-time system is to determine which municipalities are concerned with flood risk and send them an automatic warning by voice call, optionally by sms or email. A specific web interface is available for users to monitor the evolution of the flood risk on maps that are updated every 15 minutes. This new flash flood warning service will be operational early 2017 as a free service for about 8,000 French municipalities.

Fuzzy Based Front-End Collision Detection System

Now a days, the number of motor vehicles on the road increasing extremely. Due to which the vehicle collision is an important phenomenon which is enormously complex from the dynamic point of view. Perfection over driving motor vehicle is not only the solution to avoid accidents. Many unexpected accidents may lead to the death of the humans. It is necessary to avoid these kinds of accidents. Such can be avoided by developing an appropriate and improved set invehicle detecting and automatic warning systems that can enhance the driving safety. Fuzzy logic is best suited to dealing over the products in a short interval of time and extends to multi-valued logic. It provides simple way to achieve a definite conclusion based upon imprecise, noisy, vague, ambiguous and missing input information. In the proposed work a video based moving vehicles are tracked using Kalman filter and fuzzy based rules are set to different parameters, i.e., Speed, distance, line of sight (angle) and edge distance on road moving vehicles to detect the front-end collision. The proposed work identifies the collision point in minimum time so that safety majors may be taken in time to avoid the collision situation.

A vibration analysis used in the methods of detecting unsteady operational modes of axial compressors

We have grounded the necessity to devise a system of a compressor surge prevention at the stage of its inception and analysed possible informative parameters characterizing an unsteady flow in a compressor and the possibility of a surge. We have presented the results of numerical simulation of the flow and dynamics of the loss of gas-dynamic stability in the inter-blade channel of the axial compressor impeller.It has been determined that the process of the loss of dynamic stability begins with the appearance of the initial vortex zone on the back of the blade profile. We have carried out an experimental research with measuring the pressure pulsation and vibration, revealed that the levels of pressure fluctuations on the impeller with a frequency of rotor blades can signal of the compressor stall, and pointed out the problems of technical use of this criterion. We have experimentally researched the connection of unstable flows in the flow part and vibration levels in the compressor housing. It is proved that the harmonics of the rotating stall that is determined by the level of vibrations is stable and significantly stands out from the background noise, so it can be used to diagnose the rotating stall as a signal of the surge.The paper contains an experimentally verified dependence for determining the frequency of the rotating stall. We have studied the possibility of using the median and band filters in processing the vibrations and suggested an algorithm for identifying a pre-surge compressor state by the rate of vibrations in the compressor housing, which is aimed at devising of automatic warning systems for the surge prevention at the stage of its inception. Devising a system of an anti-surge protection with the use of the vibration signal would increase the reliability of its work and raise the operational reliability of a gas turbine engine by eliminating false positives.

Development of one generic call centre for unplanned health needs. A qualitative study

Introduction: A range of different telephone based services exists to serve the public with some sort of unplanned health needs (acute need). These are organized as call centres and offer services like medical emergency, response to automatic warning aids and more social services. However, even if it is valuable with many different services, it is not likely that the public know of all these services and furthermore they are resource demanding to operate. In Central Norway a group of municipalities together with a city have decided to develop one generic call centre with one phone number to offer better services and solve more enquirers by phone. The aim of this study was to study health professionals and leaders' attitudes towards one generic call centre and what they saw as the challenges and opportunities to make it work. Methods: This was a qualitative study with observations of meetings and qualitative group and individual interviews with 17 employees (seven leaders) who have been involved in the development process and who worked in the affected services; primary care medical emergency service, support for people who have automatic warning aids and an emergency service for people with abuse or mental health problems. The generic call center is to open in autumn 2015 and the data have been collected from autumn 2013. Results: It was readily observed that the views on the generic call centre were dependent on which services the informants came from. Those from medical emergency were clearly more skeptical, especially due having to move from their current location in a hospital and not having direct patient contact as the generic call centre would be located separate from the emergency room. Several expressed a fear that the area to cover for each operator would be too extensive in a generic call centre and that few people would want to work there. This difference was also evident in whether or not they thought the generic call centre would lead to solve more enquirers by phone (e.g. less visits to the emergency room), with those working in medical emergency saying most strongly that this was not likely to happen as the patients which 15th International Conference on Integrated Care, Edinburgh, UK, March 25-27, 2015 1 International Journal of Integrated Care – Volume 15, 27 May – URN:NBN:NL:UI:10-1-117108– http://www.ijic.org/ was to see the doctor. To increase the likelihood of less need for direct face to face contacts, a public media campaign was suggested and that the technical system improved to make it easier to get through on telephone. The informants had different views on and experiences with the use of support systems and varied in their view on the usefulness of such systems. Some had experienced that such system overtriaged (indicated that more patients needed to see a doctor) while other said it was an important tool for quality assurance and safe practice. The informants had different views on what type of competencies that were needed especially regarding formal education. They agreed on the need for all operators to have good communication skills, being able to multitask, to handle the support systems and being able to keep calm in stressful situations. Discussions: During the process, those involved have become more positive towards the establishment of one generic call centre. This was especially observed after executive decisions concerning the more concrete aspects of the generic call centre were taken. Conclusions: Getting a workable generic call centres was seen as challenging. To populate a generic call centre with personnel from different services one has to take into account the difference in culture. Lessons learned: (from the point of view of research development) Having a researcher following the process has proven useful due to the findings being feed back into the process highlighting the areas with most tension. Limitations: This study concerns the earl phase of the process. Different results can be expected closer to and after the opening of the generic call centre. Suggestions for future research: More knowledge is needed on the professional skills needed to work in a generic call centre.

Впровадження системи та пристрою автоматичного оповіщення працюючих на коліях залізничних станцій

The problem of timely warning the crews working on station tracks, station employees and passengers, exists for quite a long time. Untimely warning or lack of it leads to injuries and in some cases is fatal. The solution of the problem is the use of the systems and devices of automatic warning. The analysis of existing systems and devices of automatic warning the workers on the railway station tracks which are used not only inUkraine, but abroad as well has been presented in the article. The results of the analysis of design and functionality concepts showed their poor performance.The developments given in the article contribute to the reduction of workplace injuries connected with rolling stock runovers, to the increase of the efficiency of work on railway tracks and to rail traffic safety.

Overview video diagnostics for the W7-X stellarator

Considering the requirements of the newly built Wendelstein 7-X stellarator a ten-channel overview video diagnostic system was developed and is presently under installation. The system covering the whole torus interior can be used not only to observe the plasma but also to detect irregular operational events which are dangerous for the stellarator itself and to send automatic warning for the machine safety. The ten tangential AEQ ports used by the diagnostic remain under atmospheric pressure, the vacuum/air interface is at the front window located at the plasma side of the AEQ port. The optical vacuum window is protected by a cooled pinhole. The Sensor Module (SM) of the intelligent camera (EDICAM) – developed especially for this purpose – is located directly behind the vacuum window. EDICAM is designed to simultaneously record several regions of interest of its CMOS sensor with different frame rate and to detect various predefined events in real time. The air cooled SM is fixed by a docking mechanism which can preserve the pointing of the view. EDICAM can withstand the magnetic field (∼3T), the neutron and gamma fluxes expected in the AEQ port. In order to adopt the new features of the video diagnostics system both control and data acquisition and visualization and data processing softwares are developed.

Effectiveness on blood pressure control for hypertensive patients with Mobile Health Management in community

Objectives To evaluate the effectiveness of mobile internet technology in management of hypertensive patients in community. Methods Total 556 hypertensive patients in community were randomly divided into mobile health management group (management group, n=270) and control group (n=286). Conventional antihypertensive medication was given for both groups. In management group additional mobile health management was performed, including real-time monitoring of blood pressure, reminding of medication by voice reminder and SMS through the information platform of automatic warning system. The blood pressure and blood lipid were measured, quality of life was evaluated by Nottingham Health Profile (NHP) and Life Satisfaction Index Z (LSIZ) scales; the incidence of complications, hospitalization or emergency admission related to hypertension were documented during the 1 year of follow up. Results After 1 year of follow up, the blood pressure and blood lipid decreased significantly (P 0.05). Score of knowledge related to health education in management group was significantly higher than that of pre-management (90.5±3.1 vs. 31.1±5.9, P 0.05). The scores of life satisfaction degree measured by LSIZ in management group and in control group were 9.53±3.03 and 8.30±2.96, respectively (P<0.01). Conclusion Mobile Health Management can effectively control blood pressure, reduce incidence of complications, enhance compliance of patients and improve quality of life for hypertensive patients in community. Key words: Hypertension; Disease managment; Community health services