APPLICATION OF EMERGENCY ON BUILDING FIRE USING ANT COLONY OPTIMIZATION METHOD BASED ON ANDROID

Fire and Rescue Service is an agency to handles fire problems, i.e building fires. Fire and Rescue Service of Pekanbaru is an agency to handles fire problems in Pekanbaru where the service receives information about a fire incident quickly and responsively. Fire incidents can occur anywhere, in any location, both easy or difficult access, but the Firfighter Team must be prepared in every conditions. The problem is that not all fire incidents occur in easy access places by firefighters. The incidents sometimes occur in difficult places to reach and unknown location, firefighter have to use maps to find the location. It will be wasting time to find unknown location and took a long time to arrive. The solution of this problem is to build an android-based application that can be used as a fire incident report, which is connected in one application, so residents can report through an application automatically provides the coordinates of incident. The application of Ant Colony Optimization method in finding fire locations makes it easier to hasten in searching fire locations and can be used by the public in reporting fires to Fire and Rescue Service of Pekanbaru to be processed quickly.

Characteristics of Patient Safety Incident Occurrences Reported by Japanese Homecare Nurses: A Prospective Observational Study

Patient safety incidents (PSIs) prevention is important in healthcare because PSIs affect patients negatively and increase medical costs and resource use. However, PSI knowledge in homecare is limited. To analyze patient safety issues and strategies, we aimed to identify the characteristics and contexts of PSI occurrences in homecare settings. A prospective observational study was conducted between July and November 2017 at 27 Japanese homecare nurse (HCN) agencies. HCNs at each agency voluntarily completed PSI reports indicating whether they contributed to PSIs or were informed of a PSI by the client/informal caregiver/other care provider during a period of three months. A total of 139 PSIs were analyzed, with the most common being falls (43.9%), followed by medication errors (25.2%). Among the PSIs reported to the HCN agencies, 44 were recorded on formal incident report forms, whereas 95 were reported as PSIs that required a response (e.g., injury care) but were not recorded on formal incident report forms. Most PSIs that occurred when no HCN was visiting were not recorded as incident reports (82.1%). Developing a framework/system that can accumulate, analyze, and share information on PSIs that occur in the absence of HCNs may provide insights into PSIs experienced by HCN clients.

Automatic Narrative Summarization for Visualizing Cyber Security Logs and Incident Reports

Cyber security logs and incident reports describe a narrative, but in practice analysts view the data in tables where it can be difficult to follow the narrative. Narrative visualizations are useful, but common examples use a summarized narrative instead of the full story's narrative; it is unclear how to automatically generate these summaries. This paper presents (1) a narrative summarization algorithm to reduce the size and complexity of cyber security narratives with a user-customizable summarization level, and (2) a narrative visualization tailored for incident reports and network logs. An evaluation on real incident reports shows that the summarization algorithm reduces false positives and improves average precision by 41% while reducing average incident report size up to 79%. Together, the visualization and summarization algorithm generate compact representations of cyber narratives that earned praise from a SOC analyst. We further demonstrate that the summarization algorithm can apply to other types of dynamic graphs by automatically generating a summary of the Les Misérables character interaction graph. We find that the list of main characters in the automatically generated summary has substantial agreement with human-generated summaries. A version of this paper, data, and code is freely available at https://osf.io/ekzbp/.

Lessons Learned of Tehran-Zahedan Train Derail, Iran, 2019

Background: There has been a significant increase in the number of train crashes worldwide, mainly due to the extension of the rail network and the use of the most sophisticated and cutting-edge technology. Incident Report: The Tehran-Zahedan train had 260 passengers on board and left for Tehran City at 14:50 local time on Wednesday, September 25, 2019. The accident happened at 16:20 local time at 100 km distance from Zahedan City. Results: Five train cars derailed 2 km from Shorou Station, where four people died, and 157 were injured. According to the investigations, the accident occurred due to the unscrewing of some bolts and spring washers. There were 170-180 screws and spring washers removed along 50-60 m, which resulted in the creation of a dangerous point and derailment of the train. This study examined the challenges, strengths, and learned lessons of the incident. Conclusion: Concerning standard and vast rail networks in Iran and the latest train crashes that mainly occurred just outside the cities, accessibility to the accident scene should be considered one of the most important physical vulnerability indexes. As a result, accessibility to special firefighting and rail rescue train car at some stations in crowded routes effectively decreases the consequences of such accidents.

Characteristics of helicopter emergency medical services (HEMS) dispatch cancellations during a six-year period in a Dutch HEMS region

Background For decades, Helicopter Emergency Medical Services (HEMS) contribute greatly to prehospital patient care by performing advanced medical interventions on-scene. Unnecessary dispatches, resulting in cancellations, cause these vital resources to be temporarily unavailable and generate additional costs. A previous study showed a cancellation rate of 43.5% in our trauma region. However, little recent data about cancellation rates and reasons exist, despite revision of dispatch protocols. This study examines the current cancellation rate in our trauma region over a six-year period. Additionally, cancellation reasons are evaluated per type of dispatch and initial incident report, upon which HEMS is dispatched. Methods This retrospective study analyzed the data of the Dutch HEMS Lifeliner 1 (North-West region of the Netherlands, covering a population of 5 million inhabitants), analyzing all subsequent cases between April 1st 2013 and April 1st 2019. Patient characteristics, type of dispatch (primary; based on dispatcher criteria versus secondary, as judged by the first ambulance team on site), initial incident report received by the EMS dispatch center, and information regarding day- or nighttime dispatches were collected. In case of cancellation, cancel rate and reason per type of dispatch and initial incident report were assessed. Results In total, 18,638 dispatches were included. HEMS was canceled in 54.5% (95% CI 53.8–55.3%) of cases. The majority of canceled dispatches (76.1%) were canceled because respiratory, hemodynamic, and neurologic parameters were stable. Dispatches simultaneously activated with EMS (primary dispatch) were canceled in 58.3%, compared to 15.1% when HEMS assistance was requested by EMS based on their findings on-scene (secondary dispatch). A cancellation rate of 54.6% was found in trauma related dispatches (n = 12,148), compared to 52.2% in non-trauma related dispatches (n = 5378). Higher cancellation rates exceeding 60% were observed in the less common dispatch categories, e.g., anaphylaxis (66.3%), unknown incident report (66.0%), assault with a blunt object (64.1%), obstetrics (62.8%), and submersion (61.9%). Conclusion HEMS cancellations are increased, compared to previous research in our region. Yet, the cancellations are acceptable as the effect on HEMS’ unavailbility remains minimized. Focus should be on identifying the patient in need of HEMS care while maintaining overtriage rates low. Continuous evaluation of HEMS triage is important, and dispatch criteria should be adjusted if necessary.

Amtrak Rail Trespasser Analysis using a GIS Space-Time Approach

This research explores Amtrak trespass incident data from 2011 to 2019 using a GIS spatiotemporal process. The objective is to evaluate incident characteristics based on space, time, incident factors, and statistical significance. Incidents were first analyzed at the megaregional level, revealing Northern and Southern California as the highest trespassing risk in the country, followed by the Northeast and Great Lakes megaregions. A new standardized point density approach was applied to reveal incident clusters representing high-risk localities. Then, the optimized and emerging hot spot methods were applied to the top four megaregions. The results showed four Amtrak corridors as hot spots, including three along coastal California railways and the Philadelphia region. Trends for incident report factors were analyzed (e.g., pre-crash activity, time of day, location of impact). “Walking” prior to impact, occurrence in the “afternoon,” and crash location “on the tracks” were found to be the most prominent incident characteristics for those factors.

ELECTRONIC CRIME INCIDENT REPORT AS A REASON TO INITIATE A CRIMINAL CASE (THE COMPARATIVE ANALYSIS OF LEGAL REGULATION IN THE NORMATIVE ACTS OF THE RUSSIAN MINISTRY OF INTERNAL AFFAIRS AND THE RF CRIMINAL PROCEDURE CODE)

The integration and active application of electronic document flow to the daily activities of the police have consistently and logically led to the fact that the electronic crime incident report is increasingly used as a reason to initiate criminal cases. The departmental normative legal acts of the Ministry of Internal Affairs of Russia regulate in detail the processing of such reports. However, under the RF Criminal Procedure Code, not all electronic crime reports registered by the Departments of Internal Affairs meet the established requirements, and, accordingly, they can not perform the function of a criminal procedural cause. In this situation, with the obvious relevance of electronic documents, an example of a contradiction and gap in the law is evident, which somewhat hinders the development of electronic interaction between the participants of criminal procedural activity and can cause negative consequences. The paper analyzes and compares the provisions of some normative sources regulating the reception and consideration of electronic crime reports by the Departments of Internal Affairs of the Russian Federation and the norms of criminal procedural legislation. The author critically evaluates the legal definitions of the concept of a crime incident report and some organizational and legal mechanisms for accepting and considering electronic crime reports established by the departmental legal acts of the Ministry of Internal Affairs of the Russian Federation. The study highlights and clarifies the rules of filing, mandatory requisites, and some other requirements for electronic crime reports, which must be complied with according to the provisions of the criminal procedure code. Based on the data obtained, the author offers recommendations to improve criminal procedural law and the algorithm of accepting electronic crime reports using the official websites of the Departments of the Ministry of Internal Affairs of the Russian Federation.