Door System Research Articles

System Smart Door Lock Pada Ruang Lab Komputer SMA Muhammdiyah 9 Kota Bekasi Berbasis Arduino Nano

Doors are an important part of any room. Sometimes there is difficulty opening and closing the front door or worrying about manually locking the door. A reliable security system is needed to secure goods or valuables, one of which is by building a security system that uses RFID (Radio Frequency Identification) as an authentication tool so that users who can enter the room can be selected because they have access. Sometimes having trouble opening and closing the front door or worrying about manually locking the door. Technological developments to replace doors with automatic locks also pay attention to the security system. Along with the rapid application of technology, this creates an innovative idea for automatic door safety devices. The purpose of this research is to find a solution to the problem of how to build an automatic door system and door security using RFID (Radio Frequency Identification).

PREDICTIVE POLICING: THE FUTURE OF CRIME PREVENTION CASE STUDY OF CHILDREN BRAWL IN THE JURISDICTION OF THE SOUTH JAKARTA METRO POLICE

This study aims to describe brawls that occur in the jurisdiction of the South Jakarta Metro Police, identify correlations that are the factors that influence the prevention of brawls in the jurisdiction of the South Jakarta Metro Police, reveal the practice of preventing child brawl crimes through the implementation of predictive policing that occurs in the jurisdiction of the South Jakarta Metro Police. This research is descriptive qualitative using a case study research type. The findings revealed that brawls occurred under the jurisdiction of the South Jakarta Metro Police from 2019 to 2021, indicating that attempts to avoid brawls by the South Jakarta Metro Police have had minimal effect because there has been an increase every year and can only prevent 7 acts of brawl. Factors that have caused the prevention of brawls in the jurisdiction of the South Jakarta Metro Police to be less effective because they have weaknesses and threats/obstacles they face. Concerning the weaknesses, there are aspects of the quantity of human resources, aspects of the quantity of facilities, and aspects of work methods at Satbinmas (Community Development Unit) and Satsamapta South Jakarta Metro Police, which carry out preemptive (door to door system patrol activities, and FGD) and preventive (walking patrols, motorized patrols, and monitoring through CCTV), while the aspect of a lack of budget is for Satbinmas, which carry out pre-emptive (door to door system patrol activities, and FGD).

A Study on Health Indicator for Rivet Breakage in Train Door System Using Motor Current Signal

In this study, health indicator is developed to diagnose the degradation state against the rivet breakage, which is one of the critical failures in the train door system. For this purpose, motor current signals are acquired during the routine maintenance for the train doors of new, 13 and 15 years old, in which the rivet breakages are found in some of those in the 15 years. Features are extracted for decomposed signals after performing the wavelet packet decomposition. Useful features are selected that show monotonicity with respect to the door age and rivet failure, while those with redundancy are removed. Health indicator model is constructed using the selected features by regression to assess the current health against the rivet failure. As a result, it is found that the health indicator increases as the door ages and reaches the maximum value for those with rivet failures, which may be valuable information to the maintenance engineer.

A Brief Analysis of the Working Load and Stroke of the Linear Actuator for the Passenger Aircraft Cargo Door

Towards the cargo door actuator of the passenger aircraft, the load type during service is analyzed, and the load profile is identified and illustrated. For the door actuation system composed of a rear support beam, linear actuator, door, etc., the theoretical working load and stroke of the actuator are calculated, as well as the load and stroke when the components are elastomers. The comparison results show that the reduction of the door stiffness will increase the actuator load, and the reduction of the rear support beam and actuator stiffness will increase the stroke. This study can provide a reference for engineering problems such as door system stiffness allocation, door opening stroke design, and evaluation.

A Subway Sliding Plug Door System Health State Adaptive Assessment Method Based on Interval Intelligent Recognition of Rotational Speed Operation Data Curve

The subway sliding plug door system is crucial for ensuring normal operation. Due to the differences in the structure and motor control procedures of different sliding plug door systems, the rotational speed monitoring data curves show great differences. It is a challenging problem to recognize the intervals of complex data curves, which fundamentally affect the sensitivity of feature extraction and the prediction of an assessment model. Aiming at the problem, a subway sliding plug door system health state adaptive assessment method is proposed based on interval intelligent recognition of rotational speed operation data curve. In the proposed method, firstly, the rotational speed operation data curve is adaptively divided by a long short-term memory (LSTM) neural network into four intervals, according to the motion characteristics of the door system. Secondly, the sensitive features of the door system are screened out by the random forest (RF) algorithm. Finally, the health state of the door system is assessed using the adaptive boosting (AdaBoost) classifier. The proposed method is comprehensively verified by the benchmark experiment data set. The results show that the average diagnostic accuracy of the method on multiple bench doors can reach 98.15%. The wider application scope and the higher state classification accuracy indicate that the proposed method has important engineering value and theoretical significance for the health management of subway sliding plug door systems.

Testing the system: infant ‘abduction’

Infant abductions from hospital are rare events but make headline news. A US study examined 247 infant abductions between 1983–2006 and found nearly half were abducted from healthcare settings [1]. Abduction risk reduction strategies are also considered during the Care Quality Commission’s inspection of each maternity unit [2]. The baby tagging system was updated in our hospital in April 2020, training undertaken and subsequently reinforced with e-learning. In our hospital, many families have safeguarding concerns. These are considered the highest potential risk for infant abduction so it is essential the system and processes provide protection. The aim of this simulation was to test the processes currently in place for a tagged baby abduction from an inpatient ward to highlight good practices and identify system failures. An activated tag was assigned to a manikin on the transitional care unit. The manikin was removed, in a carrier bag, by a faculty member (‘the abductor’) tailgating a leaving staff member thus preventing the ward doors from automatically locking when the tag is near the sensor. The ‘abductor’ took the lift to the ground floor and walked out of the main entrance within three minutes. Faculty members were placed in transitional care (TC), the main entrance, and another tracking the tag’s location. A timeline of events was recorded and analysed. Simulation participants were debriefed, including staff directly involved, parents on TC, front of house staff, and senior managers. It was evident from the debriefing that this caused significant distress to some staff members who felt helpless and uncertain when faced with this scenario. It highlighted how quick and easy it is to leave the hospital with a baby. Important human factors were identified including discrepancies between emergency call requests and responses, and poor knowledge about the abduction of baby policy. System problems were found: hospital ‘lockdown’ locked internal doors preventing responder actions but not all external doors; and the tagging system did not respond as expected – locking the doors to the ward and an inaccurate final tag location. Multiple deficiencies in the system were found so an action plan has subsequently commenced. New external doors have been added to automatic lockdown and a new main entrance door system proposed. Tagging engineers are addressing the automatic locking of internal doors and tag location, switchboard calls are to be standardised, and the standard operating procedure is being reviewed and recirculated. 1. Burgess AW, Carr KE, Nahirny C, Rabun JB Jr. Nonfamily infant abductions, 1983–2006. Am J Nurs. 2008 Sep;108(9):32–8. doi: 10.1097/01.NAJ.0000334972.82359.58. PMID: 18756155. 2. Care Quality Commission NHS IH Maternity core service framework v7 (2018)

An equipment multiple failure causes intelligent identification method based on integrated strategy for subway sliding plug door system under variable working condition

The subway sliding plug door system has been opened and closed frequently for a long time under variable working conditions, and multiple failures are prone to occurring and resulting in train shutdowns and even major safety accidents. Due to the complex physical mechanism of the sliding plug door system, it is difficult for a single signal to accurately represent the failure states of the sliding plug door system. Thus, identifying the multiple failure causes of the subway sliding plug door system has become a challenging problem. Aiming at the problem, an equipment multiple failure causes intelligent identification method based on an integrated strategy is proposed for the subway sliding plug door system under variable working condition. In the proposed method, firstly, the sensitive features that can reflect the degradation state of equipment are obtained by using the random forest to measure the importance of fetatures and sort them. Secondly, feature dimensionality is reduced by using t-distributed stochastic neighbor mbedding (TSNE) to map the screened high-dimensional features to low-dimensional space. Finally, the parameters of the extreme learning machine (ELM) are optimized by using the particle swarm optimization (PSO) algorithm to build a multiple failure causes classification model. The proposed method is verified by the 1:1 benchmark test data of the subway sliding plug door system. The results show that the proposed method has higher classification accuracy, faster calculation speed, and stronger generalization ability. The proposed method is an effective integrated strategy to identify multiple failure causes in the subway sliding plug door system and guide the health management and operational maintenance of the subway sliding plug door system.

IoT-Deep Learning Based Face Mask Detection System for Entrance and Exit Door

During the pandemic, it has been seen that the global population follows the guidelines issued by the health organization regarding wearing face masks, but some people do not take care of this and do not use masks. The objective of the proposed system, Wollega University Face Mask Detection System (WUFMDS), is to restrict people who are not wearing a mask on the door side by identifying the face mask from the face or open the door if the incoming person is wearing the mask. This system is based on the Internet of Things (IoT) and a Deep Learning algorithm called Convolutional Neural Network (CNN). For this purpose, images with and without masks were collected as samples from the university. The CNN algorithm is used to detect the mask and classify it as with or without masks. The IoT module controls the door operation based on the classification response sent to the IoT module by the CNN algorithm. The system was tested lively with the dummy door system in order to ensure the functionality of the face mask detection system and developed software applications for the system model are working as defined objectives. Our model had 99.36% accuracy with the training dataset and 99.29% accuracy with the validation set. Hence, the proposed system could be used for the automatic identification and classification of masks on the face and to operate the door to allow the person who is wearing the mask to pass through while keeping it closed when no mask is found on the face.

Investigation of damage to fire protection systems in buildings due to the 2016 Kumamoto earthquake: derivation of damage models for post-earthquake fire risk assessments

ABSTRACT Post-earthquake fire safety is an important functional requirement of seismic-resilient buildings and depends on seismic damage to fire protection systems. Probabilistic fire risk assessments are useful in ensuring safety and consider the post-earthquake reliability of fire protection systems. This study therefore investigated damage to fire protection systems due to the 2016 Kumamoto earthquake through a questionnaire survey among hospitals to collect data available for modeling the post-earthquake reliability. Ten types of component of a fire protection system were surveyed: emergency generators, fire detectors, water tanks used for firefighting, fire pumps, sprinkler heads, indoor fire hydrant boxes, fixed glass smoke curtains, fire doors, fire shutters, and fire exit signs. The data show that there was much damage to fire detectors, sprinkler heads, fixed glass smoke curtains, and fire doors. Zero-inflated Poisson regression analysis was conducted to derive statistical damage models that describe the association of building response quantities with the number of instances of damage. Results of a case study using the models show that building shaking exceeding a peak response acceleration of 10 m/s2 may reduce the probability of successful functioning to below 40% for a sprinkler system and to below 90% for a smoke-activated door system.

Dealing with prognostics uncertainties: Combination of direct and recursive remaining useful life estimations

Data-driven prognostics and health management is an important part of the future industry. It allows the detection of system faults and estimation of its remaining useful life (RUL) to anticipate failures and schedule appropriate prescriptive maintenance actions. Moreover, with the development of data acquisition tools in such industries, it is possible to collect large amount of data from similar systems, which prompts the use of machine learning algorithms for efficient estimation of the system RUL. However, due to different type of faults and degradation rates that can occur in real processes, there exists high variability of the end-of-life (EoL) time of each system degradation trajectory, making more difficult to fix a failure threshold and consequently generate several uncertainties in the estimation of RUL. To address this situation, this paper proposes a new data-driven approach for estimating the system RUL when dealing with the variability of degradation trends and unknown failure thresholds. Particularly, the proposed approach combines two RUL techniques, recursive and direct RUL estimation. First, the historical collected raw data are fed into a processing algorithm to construct prognostic health indicators (HIs) and choose the one that characterizes well the system’s degradation trajectory. This latter indicator allows identifying the high and low EoL amplitude values from the historical data and is used to build a recursive prediction model that estimates in long-term the degradation trend evolution. After that, the trained model forecasts every degradation trend which EoL amplitude is less than the predefined high value. Thus, a set of possible RULs of each trajectory can be predicted. Finally, the ensemble of the derived RULs and their HI trajectories are fused to directly estimate the final RUL. The proposed approach is applied to a subway door system with multiple degradation scenarios while taking into account different operating conditions.

Peran Bhabinkamtibmas dalam Melakukan Penanggulangan Kejahatan di Wilayah Hukum Polrestabes Medan

The purpose of this study was to determine the legal setting, inhibiting factors and the role of Bhabinkamtibmas in Combating Crime in the jurisdiction of the Medan Polrestabes. The research method used in this study is normative juridical research with a statutory and conceptual approach, while the data collection instruments use observation, documentation studies and interviews. While the data analysis is descriptive analysis. The results of this study indicate that: The legal arrangements that regulate Bhabinkantibmas include Law No. 2 of 2002 concerning the Indonesian National Police, Regulation of the National Police Chief No. 3 of 2015 concerning Community Policing, and the Decree of the Chief of Police No. Pol : SKEP/737/X/2005 October 15, 2005 Regarding Policies and Strategies for Implementing Community Policing Models. Factors that can hinder crime prevention are influenced by several things, including the organizational structure of Bhabinkamtibmas Polrestabes Medan, human resource factors, budget factors, facilities and infrastructure factors, and community attention and support factors. Its role is to carry out preventive crime prevention actions through the implementation of the Community Police (Polmas) program, the Door to Door System Program and carry out Repressive Crime Prevention Actions through the Problem Solving Program.

Automated Door and Body Temperature Detect System for COVID Patients

In view of current situation the COVID-19 is found all over the world.COVID-19 is a viral disease that is spread all over the world which has caused huge loss of the populations around the world. The virus mainly targets the respiratory organs like lungs. The spreading of this virus occurs when a healthy person comes in contact with air or surface which contains the droplets of infected persons sneeze, cough or breathe through hands. As a precautionary measure it is essential that we sanitize our hands regularly to protect ourselves from being affected by the virus. It is necessary to predict the symptoms of these viral diseases to know who is infected so as to not allow them at the public places. Hence usage of automatic hand sanitizing dispenser and temperature reading systems can prevent the spreading of viral disease. One of the initial symptoms is high body temperature; it is difficult to check temperature of each person who enters the public place. In the process of checking the temperature there may be a chance of being in contact with the person who has symptoms of this virus, hence an automatic body temperature system is presented to check the temperature of entering person at the entrance and then allow the person into the entering place if his temperature is within threshold limit. The person whose temperature is not within the threshold limit is not allowed to enter the public place. In this system an attempt is made to develop a prototype for Automatic Temperature Detect System to avoid spreading of COVID-19.

Energy benchmarking analysis of subway station with platform screen door system in China

The energy consumption of Ventilation and Air Conditioning (VAC) systems in subway stations has attracted much attention, aiming to figure out energy-saving potentials and improve energy efficiency. Benchmarking is a useful method to evaluate energy performance of VAC systems during the operational stage. This study describes the development of an energy benchmarking model for the analysis of VAC energy consumption in subway stations with platform screen door systems in a variety of climate regions in China. Firstly, the Constraint Value (CV) and Leading Value (LV) of VAC energy use were simulated using a validated theoretical energy model, which represent the “general” and “superior” level of the VAC energy use, respectively. Results show that, for the 2,520 simulated cases, CV ranges from 184 to 859 × 103 kWh/year and LV ranges from 178 to 529 × 103 kWh/year, with different ranges for cold, hot-summer cold-winter, and hot-summer warm-winter region. Next, the simulated values of CV and LV were applied to establish an energy benchmarking model using the ordinary least square approach. For each climate region, the regressive energy benchmarking models for CV and LV were established and validated by cross-validation. Results show that R2 are 0.753–0.903 and MBE of the test set are 2.1–7.1%, indicating a good fit for the regressive benchmarking models. In order to further test their application, the regressive models were then applied to existing subway stations. Finally, the impacts of service-related variables, i.e. number of passengers, train departure density, and tunnel length, on the CV and LV were discussed. The proposed energy benchmarking model and analysis provide a convenient and effective tool for operators and managers to evaluate VAC energy consumption status and assess energy-saving potentials for subway stations.

Processes of assistive technology service delivery in Bangladesh, India and Nepal: a critical reflection

Purpose This paper critically reviews and reflects on the processes for providing Assistive Technology (AT) services to Persons with Disabilities (PWD) in Bangladesh, India and Nepal. The aim is to investigate the AT service delivery systems in these countries and suggest improvements where weaknesses are identified. Materials and methods We carried out a descriptive qualitative exploratory study in Bangladesh, India and Nepal by conducting key informant interviews with policymakers (5), AT service providers (22) and mobility and hearing related AT service users (21). We used a directed content analysis approach guided by a seven-point AT service delivery process model to thematically analyse the existing processes for AT service delivery, from first contact through to follow-up and maintenance. Results AT service delivery processes are sub-optimal in all three countries, and improvements are needed. No common AT service delivery process was found, although there are common features. In general, it is easier for PWDs in India and Nepal to access AT than for those in Bangladesh, but all three countries are failing to live up to their commitments to uphold the human rights of PWDs. Conclusions Although good elements of AT service delivery processes can be identified, the systems in all three countries are fragmented and generally weak. A more holistic approach of looking at the process of AT service delivery, from first contact right through to follow-up and device maintenance, with a single door service delivery system, free of cost at the point of service is recommended in these countries. IMPLICATIONS FOR REHABILITATION Although we found significant weaknesses in AT delivery in all three countries, there are some good AT service delivery practices and opportunities for these countries to learn from one another. A systematic and stepwise approach to assessing current AT service delivery processes in the three countries – examining the delivery system as a whole, from initiation to repair and management – can help identify opportunities to improve the process for (prospective) AT users. A more coherent single door system of AT service delivery will increase the quality and efficiency of the fragmented AT service delivery practices in Bangladesh, India and Nepal.

Characteristics of subway air quality and favorable locations for passengers waiting and taking the subway

With the increase of commuters in Beijing subway, the air quality inside subway systems has caused widespread apprehension. The particulate matter (PM) level and potential health risk of PM on the platforms and carriages of Open (O) system, Half-height platform door (HPD) system, Full-height platform door (FPD) system, Platform screen door (PSD) system were studied. The average PM2.5 concentration was approximately twice the Chinese National Ambient Air Quality Standard Class II threshold and ten times the WHO Global Air Quality Guidelines. The average PM2.5 and PM10 ratios on the platform and inside carriages were 0.81 and 0.85, respectively. Compared to the FPD and HPD, the PSD has the highest ability to prevent tunnel dust entering the platform, whereas, the FPD's preventive ability is insignificant. The maximum comprehensive indoor-air quality index (CIAI) values for platform PM2.5 and PM10 are at a very unhealthy risk level and unhealthy risk level, respectively. The average PM2.5 doses deposited by adult males in extrathoracic (ET), tracheobronchial (TB) and alveolar-interstitial (AI) during a day's round-trip ride were 163.7 μg, 9.6 μg and 24.1 μg, respectively. The PM concentration at the station platform nearer to the entrance location is greater than the middle of the platform and the center of the station hall. The PM concentration at the middle of the carriage between two doors is lower than that at the door. The research results have important guidance for constructing a subway environmental control system, station passenger flow command desk setting, passenger waiting and taking the subway to reduce the health risk.

Home Security System using Arduino Uno (Implementation)

Abstract: The Project is an implementation of the IOT based home security system, which is able to secure homes and make people feel safe and can be bought by almost everyone. The Major aim of the Project was to be cost efficient and simultaneiusly it should be secure, and this was accomplished with the use of internet of things and other electronics component. With the help of an LDR sensor and a keypad a working automatic door system was achieved.. IoT refers to the infrastructure of connected physical devices which is growing at a fast rate as a massive number of devices and object are getting connected with the internet. Home Security is a very important and useful tool of the IoT and we used it to build a low cost security system for homes which can be used by almost everyone. Keywords: Arduino , ESP32 CAM

Home Security System using Arduino Uno

Abstract: This Project is based on implemented of an IOT based home security system, to be able to secure homes from anywhere in the world. The Major aim of this Project is it should be cost efficient and at the same time it should be secure, and this was achieved with the use of internet of things and some other electronics component. With the help of a mobile app and a keypad a working automatic door system was achieved.. IoT refers to the infrastructure of connected physical devices which is growing at a rapid rate as a huge number of devices and object are getting associated with the internet. Home Security has become a very important and useful application of IoT and we are using it to build an economical security system for homes as well as industrial use Keywords: Arduino, ESP32 CAM

Utilization of Thrust Reverser Mechanism in Turbofan Engines – A Review

Through this paper an attempt is made to focus on a special technology based on application of thrust reverser in turbofan engine which is common to the aviation industries but an uncommon in general. The airlines accept that thrust reverser is necessary for safe operations because it provides an added margin of safety for transport aircraft operations. In this technology, forward thrust produced by turbofan engine of aircraft is diverged to reverse direction so as to provide an additional deceleration effect during landing and power back effect. This technique is employed for improving aircraft runway performance and it is observed that by using thrust reverser especially in wet runway there is considerable reduction in landing run which is responsible for safety of passenger aircraft. Different mechanisms for thrust reverser are Cascade system, Clamshell door system and Bucket target system. Technical aspects such as engine power reverse thrust characteristics, modes of operation and speed limits of thrust reverser mechanism along with technical problems are discussed. As this mechanism is crucial for safety of aircraft therefore thrust reverser & engine maintenance-schedule is also discussed further.

Design and Analysis of Automated Pneumatic Door System

Abstract: This new feature deals with the actuating of the bus doors automatically using advanced timers, relays & specialized microprocessors to assist the driver to close these doors without closing in on the passengers effectively trapping them between powerful pneumatic doors as opposed with the existing manually operated technology where these accidents are prevailing as happenstance all-around and the country and the driver has to react to it manually, after realizing what is happening to their passenger because of a seemingly extenuated problem. Thus adding this piece of hardware to an existing component not only improves safety and assurance to property and personnel but takes off one more thing the driver has to worry about extensively while driving a multi axle vehicle carrying more than fifty passengers. This also allows passengers to have more feasible egress during an event of any emergencies including but not limited to smokes, collisions etc. After many avenues of analysis it is submitted for the future reference and use of next generation vehicles. Keywords: pneumatic cylinder, solenoid valve, microcontroller

An Effective and Visualized State Detection of Metro Vehicle Door System

Metro Vehicle Door System (MVDS) is one of the most frequently used parts in rail transit. In this work, we propose an effective and visualized state detection technique of MVDS by utilizing feature extraction and matching, which is helpful to improve the safety and reliability of the door system. Five states of MVDS, the normal opening, opened, closing and closed state, as well as the anti-extrusion (also named as anti-drag) state, are to be detected in our work. In particular, we design an improved Speeded Up Robust Features (SURF) method to reduce the mismatching pairs by exploiting local space distance, which is crucial for practical usage. Furthermore, we present a scheme to detect the five states of MVDS mentioned above via our improved SURF. Finally, we conduct experiments in subjective and objective, and the resultant performance shows the effectiveness of our method.