Room Monitoring Research Articles

Research on Architecture Design of Mobile Video Surveillance System in Information Room Based on Intelligent Robot Technology

With the gradual development of information technology, the idea of combining mobile robot and wireless remote control technology is adopted to build a wireless network platform between a computer and robot. At present, there are conditions to realize this idea. In this idea, the wireless data transmission can be realized on the platform. Users can remotely control and access the monitoring system of the computer room and set up alarm systems and detectors, so as to monitor the working conditions of the robot at the computer terminal, truly realize the man-machine coordination, and ensure that the robot can complete the specified tasks well in various complex environments. This research first deeply analyzes the current development status and existing problems of the information room monitoring technology and then puts forward the mobile video monitoring system architecture of the information room based on the intelligent robot monitoring technology. The system architecture integrates computer technology, network technology, and control technology. With the continuous updating of technology, video surveillance has also entered the mobile era. Combined with the timely monitoring video acquisition system of mobile robots, it solves the current working environment for many industries and enterprises. Using robot chassis technology, it designs the corresponding bottom hardware control and upper equipment to achieve data acquisition with related equipment. The mobile video surveillance system solves the problems encountered by the traditional video surveillance system and can monitor video images through remote operation and centrally monitors the operation status of the equipment in the room and the environmental status of the room, which is more conducive to improving the management efficiency. It provides a new idea to ensure the safe and stable operation of various equipment and systems in various places.

Measurement of missing video frames in NPP control room monitoring system using Kalman filter

Using the Kalman filtering technique, we propose a novel method for estimating the missing video frames to monitor the activities inside the control room of a nuclear power plant (NPP). The purpose of this study is to reinforce the existing security and safety procedures in the control room of an NPP. The NPP control room serves as the nervous system of the plant, with instrumentation and control systems used to monitor and control critical plant parameters. Because the safety and security of the NPP control room are critical, it must be monitored closely by security cameras in order to assess and reduce the onset of any incidents and accidents that could adversely impact the safety of the NPP. However, for a variety of technical and administrative reasons, continuous monitoring may be interrupted. Because of the interruption, one or more frames of the video may be distorted or missing, making it difficult to identify the activity during this time period. This could endanger overall safety. The demonstrated Kalman filter model estimates the value of the missing frame pixel-by-pixel using information from the frame that occurred in the video sequence before it and the frame that will occur in the video sequence after it. The results of the experiment provide evidence of the effectiveness of the algorithm.

Server Room Monitoring System using CCTV

Server Room is the main part when it comes to any organization since any malicious activity in the server room may bring down the whole server room bringing the work of organization to halt. Hence, we need a server room monitoring system which works on real time images and monitors using compressed circuit television (CCTV). The framework used for server room monitoring is YOLO (You Only look Once). YOLO employs Convolutional neural networks (CNN) for image processing. In CNN image must pass through different layers like Convolutional layer, pooling layer, ReLu layer and fully connected layer.

Temperature and Humidity Control Device In The Server Room PT.BFI Finance Tbk. Karawaci Based on Internet Of Things (IoT)

The monitoring system for server room temperature and humidity at PT.BFI Finance which can increase the efficiency of electrical power using Arduino. At this time, technological advances are very fast, one of which is the presence of the Internet of Things, therefore the server room monitoring system at PT.BFI Finanace will use a temperature and humidity measuring device with an Arduino Uno microcontroller, Ethernet shield, Arduino Nano, buzzer, fan and the DHT22 sensor, which is able to overcome the weaknesses of existing server room monitoring. The purpose of this research is to make a temperature and humidity measuring device in the server room as a monitoring tool. The result of this research is a monitoring system for temperature and humidity conditions in the server room with a device whose temperature and humidity values ??will be stored in the MYSQL database, then displayed on a web application that will assist officers in monitoring the server room.

Android Based Door Security Design

Room insecurity such as cases of theft or fire can occur, especially in rooms that are not equipped with special security and guard systems. Based on this, it is necessary to develop a security system that can be accessed and monitored remotely and provides early warning of early indications of danger using smartphones. System development is carried out through the stages of making software and hardware. The hardware consists of Arduino Mega 2560 to manage the system, MySQL Database Server, CC3000 Wifi Shield as a communication device between Arduino and the server, Limit Switch to detect a forced push on the door, MQ-2 measuring gas leaks in the room, DHT-11 sensor to measure the room temperature, VC0706 camera to capture images in the door area. Android application as a system interface to change lock status and monitor room conditions. A warning notification of the danger indication of a gas leak is sent to the user's smartphone by displaying the value of the gas content. The warning message of a forced push on the door is equipped with a feature to display camera captures. The final result of this research is that a room security system has been successfully created where access to door locks and room monitoring can be done through an android application installed on a smartphone. The system can provide a hazard warning message well. The warning message of a forced push on the door is equipped with a feature to display camera captures. The final result of this research is that a room security system has been successfully created where access to door locks and room monitoring can be done through an android application installed on a smartphone. The system can provide a hazard warning message well. The warning message of a forced push on the door is equipped with a feature to display camera captures. The final result of this research is that a room security system has been successfully created where access to door locks and room monitoring can be done through an android application installed on a smartphone. The system can provide a hazard warning message well.

Training room management based on speech recognition and artificial intelligence

This paper starts from the basic principles of speech recognition, starting from acoustic models and features, and applies deep convolutional neural networks to speech recognition processing. It also introduces the overall process of speech recognition and mainstream algorithms to classify and summarize the speech recognition system. Due to the technological innovation of speech recognition and offline speech recognition systems, we found that traditional systems have low interactivity, poor flexibility, poor recognition command library, and other problems. We provide solutions for this paper according to the specific application environment. This paper introduces the design and implementation of an artificial intelligence teaching management system based on the Internet of Things (IoT) technology. Based on the design of the entire system, the system databases such as the video surveillance module, artificial intelligence security module, and remote control module are designed and realized the functions of these modules. Finally, RFID technology and database technology will be used to realize the informatization of training room personnel and equipment management, and the positioning and storage inspection of training room equipment. Secondly, from the perspective of environmental monitoring of the training room, temperature/ humidity sensors and optical sensors are used to complete the collection of real-time environmental data in the training room, thereby transmitting the data to the host system. It realizes the pairing through the Zigbee wireless communication module. Real-time monitoring of training room and management system. This paper introduces speech recognition and artificial intelligence into the management system of the training room so that the training can be better recorded and managed.

Room Monitoring Uses ESP-12E Based DHT22 and BH1750 Sensors

Comfortable room is one of the services that must be provided by STMIK STIKOM Indonesia campus to students. This research designed a room monitoring tool based on ESP-12E in STMIK STIKOM Indonesia. The room monitor is designed using a DHT22 sensor to measure temperature and humidity and the BH1750 sensor to measure light intensity. The tool also includes features a 16x2 I2C LCD to display measurement results. Testing is done by testing the layout circuit on the PCB and observing the measurement of temperature, humidity, and light intensity on the LCD. The test results of all layout circuits are functioning properly, and the measurement results can appear on the 16x2 I2C LCD.

Stopping Hospital Infections With Environmental Services (SHINE): A Cluster-randomized Trial of Intensive Monitoring Methods for Terminal Room Cleaning on Rates of Multidrug-resistant Organisms in the Intensive Care Unit.

Multidrug-resistant organisms (MDROs) frequently contaminate hospital environments. We performed a multicenter, cluster-randomized, crossover trial of 2 methods for monitoring of terminal cleaning effectiveness. Six intensive care units (ICUs) at 3 medical centers received both interventions sequentially, in randomized order. Ten surfaces were surveyed each in 5 rooms weekly, after terminal cleaning, with adenosine triphosphate (ATP) monitoring or an ultraviolet fluorescent marker (UV/F). Results were delivered to environmental services staff in real time with failing surfaces recleaned. We measured monthly rates of MDRO infection or colonization, including methicillin-resistant Staphylococcus aureus, Clostridioides difficile, vancomycin-resistant Enterococcus, and MDR gram-negative bacilli (MDR-GNB) during a 12-month baseline period and sequential 6-month intervention periods, separated by a 2-month washout. Primary analysis compared only the randomized intervention periods, whereas secondary analysis included the baseline. The ATP method was associated with a reduction in incidence rate of MDRO infection or colonization compared with the UV/F period (incidence rate ratio [IRR] 0.876; 95% confidence interval [CI], 0.807-0.951; P = .002). Including the baseline period, the ATP method was associated with reduced infection with MDROs (IRR 0.924; 95% CI, 0.855-0.998; P = .04), and MDR-GNB infection or colonization (IRR 0.856; 95% CI, 0.825-0.887; P < .001). The UV/F intervention was not associated with a statistically significant impact on these outcomes. Room turnaround time increased by a median of 1 minute with the ATP intervention and 4.5 minutes with UV/F compared with baseline. Intensive monitoring of ICU terminal room cleaning with an ATP modality is associated with a reduction of MDRO infection and colonization.

Global guidelines for emergency general surgery: systematic review and Delphi prioritization process.

BackgroundExisting emergency general surgery (EGS) guidelines rarely include evidence from low- and middle-income countries (LMICs) and may lack relevance to low-resource settings. The aim of this study was to develop global guidelines for EGS that are applicable across all hospitals and health systems.MethodsA systematic review and thematic analysis were performed to identify recommendations relating to undifferentiated EGS. Those deemed relevant across all resource settings by an international guideline development panel were included in a four-round Delphi prioritization process and are reported according to International Standards for Clinical Practice Guidelines. The final recommendations were included as essential (baseline measures that should be implemented as a priority) or desirable (some hospitals may lack relevant resources at present but should plan for future implementation).ResultsAfter thematic analysis of 38 guidelines with 1396 unique recommendations, 68 recommendations were included in round 1 voting (410 respondents (219 from LMICs)). The final guidelines included eight essential, one desirable, and three critically unwell patient-specific recommendations. Preoperative recommendations included guidance on timely transfers, CT scan pathways, handovers, and discussion with senior surgeons. Perioperative recommendations included surgical safety checklists and recovery room monitoring. Postoperative recommendations included early-warning scores, discharge plans, and morbidity meetings. Recommendations for critically unwell patients included prioritization for theatre, senior team supervision, and high-level postoperative care.ConclusionThis pragmatic and representative process created evidence-based global guidelines for EGS that are suitable for resource limited environments around the world.

Optimal Monitoring of Server Rooms with Home Assistant Platform

High-performance IT systems with high computing power resources, used especially for processing large volumes of data or performing laborious calculations at significant speeds, are installed in special server rooms. Such a room specially built for High-Performance Computing systems, also called HPC, involves soundproofing and fireproofing of the walls, air conditioning equipment, as well as permanent monitoring of the room with a series of sensors, among which can be mentioned: temperature and humidity sensors, smoke sensors, air quality sensors, water and flood sensors, motion sensors, video cameras for realtime remote viewing. Given the wide variety of smart devices on the market equipped with such sensors, it is advisable to choose a suitable software environment, which offers the possibility to integrate, monitor, and control all these smart devices. One of the most popular free, opensource automation applications is Home Assistant. This software platform brings an improvement in the server rooms through the capabilities of monitoring, automation, and notification of events through text messages (email, SMS) or acoustic and video alerts. The paper presents an IoT implementation of a server room monitoring system, applied at INCD INSEMEX headquarters.

Future Directions for Human-Centered Transparent Systems for Engine Room Monitoring in Shore Control Centers

Many autonomous ship projects have reflected the increasing interest in incorporating the concept of autonomy into the maritime transportation sector. However, autonomy is not a silver bullet, as exemplified by many incidents in the past involving human and machine interaction; rather it introduces new Human Factor (HF) challenges. These challenges are especially critical for Engine Room Monitoring (ERM) in Shore Control Centre (SCCs) due to the system’s complexity and the absence of human senses in the decision-making process. A transparent system is one of the potential solutions, providing a rationale behind its suggestion. However, diverse implementations of transparency schemes have resulted in prevalent inconsistencies in its effects. This literature review paper investigates 17 transparency studies published over the last eight years to identify (a) different approaches to developing transparent systems, (b) the effects of transparency on key HFs, and (c) the effects of information presentation methods and uncertainty information. The findings suggest that the explicit presentation of information could strengthen the benefits of the transparent system and could be promising for performance improvements in ERM tasks in the SCC.

3. Stopping Hospital Infections with Environmental Services (SHINE): A Cluster-Randomized Trial of Intensive Monitoring Methods for Terminal Room Cleaning on Rates of Multidrug-Resistant Organisms (MDROs) in the Intensive Care Unit (ICU)

BackgroundMDROs frequently contaminate hospital environments. We performed a multicenter cluster-randomized, crossover trial of two methods for intensive monitoring of terminal cleaning effectiveness at reducing infection and colonization with MDROs within ICUs.MethodsSix medical and surgical ICUs at three medical centers received both intensive monitoring interventions sequentially, in a randomized order. The intervention included surveying a minimum of 10 surfaces each in 5 rooms weekly, after terminal cleaning, with adenosine triphosphate (ATP) monitoring or an ultraviolet fluorescent marker (UV/F). Results were delivered to environmental services (EVS) staff in real-time, with failing surfaces recleaned. The primary study outcome was the monthly rate of infection or colonization with MDROs, including methicillin-resistant Staphylococcus aureus, Clostridioides difficile, vancomycin-resistant Enterococcus, and multidrug-resistant gram-negative bacilli (MDR-GNB), assessed during a 12-month baseline comparison period and sequential 6-month intervention periods, separated by a 2-month washout. Outcomes during each intervention period were compared to the combined baseline period plus the alternative intervention period using mixed-effects Poisson regression, with study hospital as a random effect.ResultsThe primary outcome rate varied by hospital and ICU (Figure 1). The ATP method was associated with a relative reduction in the incidence rate of infection or colonization with MDROs (incidence rate ratio (IRR) 0.887, 95% confidence-interval (CI) 0.811–0.969, P=0.008) (Table 1), infection with MDROs (IRR 0.924, 95% CI 0.855–0.998, P=0.04), and infection or colonization limited to multidrug-resistant MDR-GNB (IRR 0.856, 95% CI 0.825–0.887, P< 0.001). The UV/F intervention was not associated with a statistically significant impact on these outcomes. Room turn-around time was increased by a median of one minute with the ATP intervention and 4.5 minutes with the UV/F intervention compared to baseline. ConclusionIntensive monitoring of ICU terminal room cleaning with an ATP modality is associated with a relative reduction of infection and colonization with MDROs with a negligible impact on TAT.Disclosures Hilary Babcock, MD, MPH, FIDSA, FSHEA (nothing to disclose), David K. Warren, MD, MPH, Homburg & Partner (consultant), Ebbing Lautenbach, MD, MPH, MSCE (nothing to disclose), Jennifer Han, MD, MSCE, GlaxoSmithKline (employee, shareholder).

Application of SSD core detection algorithm in intelligent visual monitoring of examination room

In the examination room monitoring, the traditional mode relies heavily on human resources, and only uses the surveillance camera as an auxiliary tool. In order to solve the problem of intelligent visual monitoring in the examination room, this paper proposes to use SSD core detection algorithm to realize real-time invigilation based on Deep-learning, and verifies the detection performance of the algorithm through data set test. The results show that the average accuracy of SSD300 algorithm is 79.8%, the detection frame rate is 46, and the algorithm performance is the best; at the same time, the accuracy and recall rate of SSD300 algorithm are improved by 3.0% and 3.4% respectively. This study has achieved good results, which shows that the proposed detection algorithm and optimization ideas have a certain application value.

Green Environmental Protection Technology Applied in Sewage Treatment System Upgrading Modern Management

The sewage treatment system is upgraded from the original UNITANK process to A2O+MBR process and pharmaceutical sewage treatment process. The automatic control system involves the problem of combining with the original automatic control system. The design is based on advanced nature, flexibility, reliability, and ease of use. The principle of scalability, the control project covers all technological processes, can realize the centralized monitoring of the central control room of the whole plant equipment, and effectively improve the automation of sewage treatment. Through the project budget, the total cost of different processes and different scales of treatment schemes is obtained, and the functional relationship between the cost and scale of different processes is obtained through curve fitting. According to the principles of technical economics, the cost of the sewage treatment project is related to the quantity of reduced pollutants, and the cost flow of the project and the reduced pollutant load flow are discounted.

Analisis Sistem Monitoring Daya dan Kendali Saklar Berbasis ESP8266

The system of remote monitoring electrical and control is a device that was created based on the problem of monitoring the need for electrical power connected to electrical devices and as a development of previous research. This monitoring and control system aims to determine the use of electric power at any time by reading the electric voltage and current with a voltage sensor and a current sensor respectively. The electrical power value that has been detected is forward to firebase and thingspeak, then transmit to the android application. This system is applied for usage monitoring of rooms connected to electrical devices as an indicator of room usage. The results of this system test are the minimum power load that can be detected is 80Watt, some loads still have a high error, but the system is able to detect at a certain distance effectively. &#x0D;

Design and implementation of robotank for room monitoring and exploration

A robot is a mechanical device that can perform physical tasks, either autonomously or with human control. Robots began to be used for monitoring in areas that have narrow spaces and/or dangerous areas. So that this robot must be able to carry out monitoring with a remote control system. Therefore, in this study, a robotank is designed that can perform space exploration with remote control. Robotank is designed to use a track and wheel that can pass through various terrains and it has dimensions of 11.8 x 10.8 x 9.1 cm. Robotank is equipped with a camera to monitor in real-time. Robotank can move from one point to another by controlling using a remote control system with a maximum distance of 20 meters in line of sight terrain and 16 meters in non-line of site fields, with an average speed of 0.84 m/s. Robotank can work for 1 hour 52 minutes. With this robotank, it is hoped that it can be used for exploration of areas or rooms that have small spaces and dangerous.

Risk-Taking Behaviors of Adult Bedridden Patients in Neurosurgery: What Could/Should We Do?

Risk-taking behaviors of adult bedridden patients in neurosurgery are frequent, however little analyzed. We aimed to estimate from the literature and our clinical experience the incidence of the different clinical pictures. Risk-taking behaviors seem to be more frequent than reported. They are often minor, but they can lead to death, irrespective of the prescription of physical or chemical constraints. We also aimed to contextualize the risks, and to describe the means reducing the consequences for the patients. Two main conditions were identified, the loss of awareness of risk-taking behaviors by the patient, and uncontrolled body motions. Besides, current experience feedback analyses and new non-exclusive technological solutions could limit the complications, while improving prevention with wearable systems, neighborhood sensors, or room monitoring and service robots. Further research is mandatory to develop efficient and reliable systems avoiding complications and saving lives. Ethical and legal issues must also be accounted for, notably concerning the privacy of patients and caregivers.

Automatic Room and Temperature Monitoring with Visitor Counter Using Arduino and IOT

The objective of our project is to reduce human effort to control the mass gathering and excess consumption of electricity. As in today's scenario advancement of technology is way above in today's digital world. Everyone prefers smart devices over humans to work accurately. This device will provide a solution to reduce the consumption of electricity and as well as it also monitoring the real time count of the person. This device will be very helpful where large gatherings are restricted. In today's situation the government restricts the maximum allowed person in any gathering, this device allows real time counting for easy management. It uses infrared sensors to detect any object/ person entering the room then it will automatically activate the electricity of that room and the second sensor continuously detects when someone leaves that room then it will automatically turn off the electricity of that room.

Construction of IoT management system for intelligent monitoring of distribution room

In order to further improve the quality and efficiency of distribution network operation and maintenance work, and support the transformation of distribution network technology to digital, lean, and intelligent, this article proposes an IoT management system for intelligent monitoring of power distribution rooms, as well as a design plan for IoT management platforms and edge IoT agents. It also conducts key research on the environmental information monitoring and perception system of the power distribution room, the power protection and security perception system, and establishes an intelligent and visualized intelligent distribution room to realize the digital transformation and intelligent improvement of the operation and maintenance of the power distribution network. The results are applied in the construction of Zhejiang intelligent distribution room, providing important guidance for the standardized construction of intelligent distribution room in China.

청소년이 인식한 사이버 괴롭힘 해결 방안: 포커스 그룹 인터뷰를 활용하여

This study explored the solutions to cyberbullying among middle school students using focus group interviews(FGI). The main results of research are as follows. First, according to the awareness of adolescents about behaviors of cyber bystanders, victims were found to experience psychological shock due to the behaviors of followers. And also, victims suffered from psychological wounds due to the behaviors of outsiders. Adolescents thought that bullying could continue through the behaviors of both followers and outsiders, in the other hand, recognized that the bullies could stop their bullying through the behaviors of defenders. Next, solutions to cyberbullying recognized by adolescents were divided into six categories, including 1) reporting and monitoring of chat rooms and bullies, 2) legal action and prevention education, 3) intervention of teachers and strengthening of psychological counseling, 4) intervention of bystanders, 5) responses of victims, and 6) getting rid of schools and smartphones. Effective solutions were discussed based on the problems recognized by adolescents.