Real-time Room Research Articles

The Eindhoven Acoustic Virtual Reality (EAVR) toolkit in education and beyond

The Eindhoven Acoustic Virtual Reality (EAVR) toolkit is an open-source software intended to teach undergraduate students in architecture principles in acoustics in an intuitive and interactive way. EAVR allows students to experience and interact with their 3D models in Virtual Reality (VR), by changing the materials of the surfaces and changing the size of the room in real time. Since its conception in 2019, EAVR has been employed in several courses at the Eindhoven University of Technology (TU/e), where students (re)created various spaces, ranging from lecture halls to concert venues. Using students' feedback, an improved version of the toolkit, named EAVR-v2, was created and is presented in this paper. Two spin-off projects of this, a restaurant environment and a concert hall, were presented at the annual Dutch Design Week (DDW) in Eindhoven, which provided general insights in the usability of the toolkit. This paper presents several findings made while using EAVR in education as well as during the DDW. The findings indicate that students enjoy working with EAVR, and highlighted aspects that need improvement.

Smoke Detection of Marine Engine Room Based on a Machine Vision Model (CWC-Yolov5s)

According to statistics, about 70% of ship fire accidents occur in the engine room, due to the complex internal structure and various combustible materials. Once a fire occurs, it is difficult to extinguish and significantly impacts the crew’s life and property. Therefore, it is urgent to design a method to detect the fire phenomenon in the engine room in real time. To address this problem, a machine vision model (CWC-YOLOv5s) is proposed, which can identify early fires through smoke detection methods. Firstly, a coordinate attention mechanism is added to the backbone of the baseline model (YOLOv5s) to enhance the perception of image feature information. The loss function of the baseline model is optimized by wise intersection over union, which speeds up the convergence and improves the effect of model checking. Then, the coordconv coordinate convolution layer replaces the standard convolution layer of the baseline model, which enhances the boundary information and improves the model regression accuracy. Finally, the proposed machine vision model is verified by using the ship video system and the laboratory smoke simulation bench. The results show that the proposed model has a detection precision of 91.8% and a recall rate of 88.1%, which are 2.2% and 4.6% higher than those of the baseline model.

STORAGE ROOM TEMPERATURE AND HUMIDITY MONITORING IOT- BASED MEDICINE

This research is important as it portrays a notable advancement in current internet technology known as the Internet of Things (IoT), which facilitates advanced services through the interconnection of physical and virtual objects. One crucial aspect of everyday life is air quality, especially indoors, as indoor air pollution differs from outdoor air pollution. An important indicator to determine the cleanliness of a room is its humidity level. In this context, this research holds significant relevance as it can help ensure the effectiveness and safety of stored medications under appropriate temperature and humidity conditions. Therefore, this study designed a drug storage room that requires a tool to measure the humidity value of the room in real time and the humidity conditions in the room. The solution to this problem can be overcome using Internet of Things technology. In this project, a hygrometer, or humidity meter, based on Internet of Things technology is made. Humidity is measured by the DHT-11 sensor, which is integrated on the NodeMCU ESP8266 board. Humidity measurement data can be observed via the Blynk IoT platform available on smartphones. With this tool, humidity can be observed in real time, even from a distance. The results of this study are that the tool can measure the temperature and humidity of the medicine room, and the tool can send humidity and temperature measurement data to the Blynk IoT and MIT APP Inventor servers. On the Blynk IoT website, the dashboard can display temperature, humidity, and drug safety measurement data in real time.

Pembuatan Sistem Kebakaran Ruang Server Berbasis Web pada DISKOMINFO Kota Makassar

Development of Web-Based Fire Alarm System in Server Room at Diskominfo Makassar City. Diskominfo Makassar City is an institution that carries out some of the regional government affairs of Makassar City in the field of communication and informatics. Makassar City Diskominfo has a server room to handle services in the communications and informatics sector for sub-districts and villages in Makassar City. Making a web-based fire alarm is intended as a form of meeting server room security standards in terms of fire threats that can occur at any time and helping to supervise or monitor the server room. The working method or procedure for making this tool goes through the stages of analysis, design, implementation, and testing. The main components needed consist of a KY026 fire sensor, MQ2 sensor, ESP8266 microcontroller, and Laravel 7. This fire alarm tool utilizes Internet of Things (IoT) technology so that the tool can be connected to web applications. This tool detects indications of fire based on the flame wave indicator and carbon monoxide gas through the KY026 flame sensor and MQ2 sensor. Users of this tool will receive email notifications if there is a fire in the server room. It is easy for users to monitor server rooms by accessing web applications built using Laravel 7. This website is still local and can be accessed via a search engine with the address 192.168.43.244. This tool is expected to minimize damage and accelerate the handling of fire incidents in the server room. Testing of this tool was carried out on two components, namely the KY026 fire sensor and the MQ2 sensor. Based on the results of the tests that have been carried out, both components are able to detect fire indicators at certain distances. This is proven by the user receiving a fire notification when the component detects a wave of fire or carbon monoxide gas and the user can monitor the condition of the server room in real time.

A Novel Approach of Virtual Visualization of Cloth Fitting

The concept of a virtual fitting room in real time has been proposed. The interest in online shopping has grown exponentially. When it comes to buying products like shirts that always require knowledge of how the clothes will fit when worn. This is the main reason why so few clothes are being bought online. As a result, a virtual dressing room that tells consumers how clothes fit personally will be a huge asset to online sellers that can give consumers a wide choice. For online marketers, this would be a great way to grow your market. The proposed system consists of a number of tasks, including locating the user's shirt and specifying the color of the user's shirt. In our proposed system we have used Alpha Channel Masking to mask the user's shirt, and libraries such as Numpy, OpenCV. Finally, we conclude that the concept of virtual fitting rooms that we have implemented helps humans in many ways, such as making their purchases easier, saving them time

A Novel Approach of Virtual Visualization of Cloth Fitting

The concept of a virtual fitting room in real time has been proposed. The interest in online shopping has grown exponentially. When it comes to buying products like shirts that always require knowledge of how the clothes will fit when worn. This is the main reason why so few clothes are being bought online. As a result, a virtual dressing room that tells consumers how clothes fit personally will be a huge asset to online sellers that can give consumers a wide choice. For online marketers, this would be a great way to grow your market. The proposed system consists of a number of tasks, including locating the user's shirt and specifying the color of the user's shirt. In our proposed system we have used Alpha Channel Masking to mask the user's shirt, and libraries such as Numpy, OpenCV. Finally, we conclude that the concept of virtual fitting rooms that we have implemented helps humans in many ways, such as making their purchases easier, saving them time

Operator Behavior Analysis System for Operation Room Based on Deep Learning

Human behavior analysis has been a leading technology in computer vision in recent years. The station operation room is responsible for the dispatch of trains when they enter and leave the station. By analyzing the behaviors of the operators in the operation room, we can judge whether the operators have violations. However, there is no scheme to analyze the operator’s behavior in the operation room, so we propose an operator behavior analysis system in the station operation room to detect operator’s violations. This paper proposes an improved target tracking algorithm based on Deep-sort. The proposed algorithm can improve the target tracking performance through the actual test compared with the traditional Deep-sort algorithm. In addition, we put forward the detection scheme for common violations in the operation room: off-position, sleeping, and playing mobile phone. Finally, we verify that the proposed algorithm can detect the behaviors of operators in the station operation room in real time.

Pengembangan Smart Air Condition Control Menggunakan Platform Blynk Berbasis Mikrokontroler ESP8266 dan Sensor DHT11

Air Conditioners (AC) are increasingly used to get the room temperature as desired, starting from home use to keep the room cool and enjoyable, to specific room like server rooms or ATM which are focused on keeping the room cool in order to keep the equipment cool. The role of AC is quite important to maintain room temperature, and its increasing use has led to the growing need for users to control the AC. The Internet of Things allows users to remotely control air conditioners using the gadgets used and get real time room temperature information. The AC control system based on Internet of Things (IoT) utilizes an internet connection to monitor room temperature and control AC remotely. The devices used are DHT11 as a temperature sensor to get room temperature, Infrared Receiver to read the code sent by the remote AC, Infrared Transmitter to send commands to the AC in the room, and ESP8266 as a microcontroller and a link to the internet. The IoT platform used is Blynk which has the ability to access the microcontroller from the user's gadget. The tests are running on room air conditioners such as the Panasonic CS-PC18PKP series, the Panasonic CS-YN18TKP series and the Samsung AR09TGHQASINSE series. The test results showed that the room air conditioner was successfully controlled, and the room temperature was read in real time via an android smartphone.

The Development Trend Research of Computer Monitoring Technology Optimization in Interior Design Planning

With the further development of society, my country’s industry has further affected the environmental ecology, making environmental degradation more and more serious. In recent years, more or less haze has appeared near various industrial sites, making the air more and more severe. Muddy, people’s lives cannot go on normally. Nowadays, people work indoors most of the time, so indoor environment and air quality will directly affect the health of the body. Therefore, it is very important to carry out research on indoor air quality monitoring, especially in offices, classrooms, shopping malls and other spaces. Closed and crowded places. There is a need for an indoor computer monitoring system that can grasp the environment of multiple rooms in the room in real time to achieve the purpose of monitoring and early warning. The purpose of this article is to study the development trend of computer monitoring technology optimization in interior design planning. This article through the in-depth study of computer monitoring technology, analysis of the current advanced computer monitoring core technology, combined with my country’s contemporary interior design planning environment, to discuss the development and application of computer technology in interior design planning. And through the research and analysis of these development applications to explore the necessity of upgrading my country’s indoor environmental monitoring system. This article will take the application of computer monitoring technology in interior planning and design as the research object and conduct research and analysis through literature method, questionnaire survey method and mathematical statistics method. Investigation and research show that Zigbee technology is used by most people. Compared with other wireless network computer monitoring technologies, ZigBee has better power, distance and convenience. The excellent application of computer monitoring technology in indoor planning and design makes it very good to monitor some indoor values in people’s lives.

The Application of a System of Eye Tracking in Laparoscopic Surgery: A New Didactic Tool to Visual Instructions.

Introduction: Laparoscopic surgery is an increasingly used technique, but it requires a high degree of learning, and communication between the operating room crew is considerably difficult. The use of eye tracking has been proposed as a didactic and evaluation tool in several settings, including in laparoscopy in simulators.Objectives: This study aimed to evaluate the usefulness of the use of eye tracking systems (Tobii glasses 2) in laparoscopic surgery as a didactic and assessment tool to improve communication in the operating room and improve patients' security.Methodology: An anonymous survey was sent to the students and medical teachers of a faculty of medicine and practicing doctors and residents. The message contained an explanation about the use of the Tobii glasses, a link to watch the video showing its use in a laparoscopic surgery, and the survey to complete after watching the video.Results: The survey was answered by 113 participants (51.3% medical students, 27.4% medical teachers, 18.6% practicing doctors, and 2.7% medicine residents). Eighty-three percent agreed with the usefulness of the “Tobii glasses” in the operating room for improving communication between the main surgeon and the assistant, for learning complex surgery techniques, for obtaining didactic videos, and for indicating anatomical structures. The item scored worst was the price of the glasses.Conclusions: It is possible to record and project expert gaze patterns in the operating room in real time using the Tobii glasses. This device allows improving communication among the surgical crew and the learning of residents and also improving the security of surgical patients.

Manufacture and working procedure of Temperature Control Unit (TCU)

Internet of Think (IoT) is a system that over time the development of technology makes it easy for users to carry out daily activities. Using the principle of the Internet of Think (IoT) making temperature control devices in a room can be more easily done. This room temperature controller is based on the ESP8266 microcontroller by utilizing an internet connection, users can find out the temperature in the room anywhere and anytime by utilizing the Message Queuing Telemetry Transport (MQTT) protocol. This research is intended to make it easier to supervise, control, and manage a job in this case that is for room temperature. In its application, that is bias for broiler chicken coops, server room temperature regulators, or other temperature monitoring required. Monitoring the temperature of a room in real time and not needing to be directly in place is an advantage of this research. The lowest room temperature can be adjusted as you wish or the standard we want. The output from this tool can be in the form of lights, fans, air conditioners, etc.

Development of Distributed Low Voltage Distribution Remote Monitoring System

Intelligent power distribution monitoring technology is an important technology to improve the intelligence and automation level of the power distribution system. However, because the current power distribution monitoring methods in low-voltage power distribution rooms are not very developed, regular manual inspections and manual data recording are needed, leading to efficiency very low, so the research and development of intelligent distribution monitoring system in low-voltage distribution room is very necessary.This system is mainly composed of intelligent electrical parameter collection terminal, 4G data transmission module, Alibaba Cloud Internet of Things platform, and remote power host computer, and each device can perform effective data communication. The system is assigned to each low-voltage power distribution room for unified management and viewing. The low-voltage power distribution real-time monitoring system can realize the real-time monitoring of transformer parameters and wireless transmission, and control the 4G communication module to receive or send data to the Alibaba Cloud Internet of Things platform. The remote cloud can monitor and query electrical parameters in real time, and can also send control instructions to the intelligent collection terminal. The terminal host receives various data (such as the three-phase voltage and current of the transformer, active and reactive power, power factor, frequency, harmonics, environmental temperature and humidity, etc.) from the data collector in real time and analyzes it. Once the data exceeds The set threshold will cause an alarm to prevent potential safety hazards in the low-voltage power distribution room. The experimental results prove that the system can monitor the working status of various electrical equipment in the power distribution room in real time, accurately and efficiently, thereby ensuring the safety and stability of the entire power distribution system, and has certain research value.

RANCANG BANGUN SISTEM MONITORING DENGAN VIDEO STREAMING DAN RECORDING SEBAGAI PEMANTAU RUANGAN KELAS MENGGUNAKAN WEBCAM BERBASIS OPENWRT

Network Monitoring Sistem is a collection of systems that have a function to observe or monitor systems that allow for errors in the system till it can be detected. Technological advances create a monitoring system using the Closed Circuit Television. Utilization of this device can make it easier to monitor the situation or condition of a room, so as to prevent the occurrence of a crime. This research use software system design that aims to facilitate the translation of system requirements that will be built or developed to estimate the system created is a quality system. Encoding on this system is the result of system design that will be implemented by using PHP, Html and bash script. And the last is a system reliability test before the system can actually be implemented through testing every function of the system that has been designed, and system feasibility testing. The results show that the design of monitoring system run well according to its function which is able to give info of the condition of a room in real time, can run according to the school's need for monitoring and supervision, as well as what options are given to monitor the space that is efficient and practical.

Face tracking with camshift algorithm for detecting student movement in a class

Face detection (face tracking) has been widely applied for various purposes, including in the fields of entertainment, education and security. Face detection can certainly be done with the camera in real time. For example on a camera on a laptop or camera in a room in real time will detect facial movements. Face detection is implemented using the camshift algorithm. The camshift algorithm works on a search window that can find facial movements in each frame. The camshift algorithm that has been applied can calculate the size and location of the search window that will be used for the next frame. The camshift algorithm can be used for detection such as face detection. The distribution used is hue in the HSV color dimension (Hue, Saturation, Value). The use of this hue distribution is done to overcome differences in human skin color and the background used when taking frames.

Increasing the Efficiency of Smart Patient Room Using Internet of Things (IoT)

Researchers are developing more applications based on Internet of Things (IoT) in healthcare services. Proper health care services are the major requirements now a days due to constant increase in the population. These days a major problem faced by critical patients or victims of any kind of accident is of receiving treatment on time, which in some cases becomes a huge problem specially when hospitals refused to take patients in their ER due to unavailability of beds. Travel time consumed while moving patients from one hospital to another at times results in death. The modern technology is able to manage the needs by using IoT technologies that can connect smart objects together. This paper provides the solution to the users who want prompt and timely medical treatment for their loved ones, especially in case of emergency. Smart IoT based patient room is a system that enables paramedic staff /user to get the information about beds availability in the Emergency Room in real time. The smart patient room is different from other emergency rooms by allowing the user to see the status of bed inside emergency room from anywhere in the world through internet using Raspberry Pi. This application also helps hospital staff to monitor basic vitals of patient including the body temperature, heartbeat, etc. and helps user to save life by saving time searching for hospitals where bed is available for treatment in Emergency room. Smart IoT based emergency room consist of android mobile device, cloud network, wireless means of communication, hardware having Wi-Fi module, that sends the data to the cloud which indicates the users about the status of bed. This system deploys pressure sensors on beds that will automatically sense pressure and indicates users regarding the status of the bed inside the emergency room of the desired hospital.

Diagnostic Performance of Receptor-Specific Surgical Specimen Staining Correlate with Receptor Expression Level.

Identification of tumor margins in the operating room in real time is a critical challenge for surgical procedures that serve as cancer cure. Breast conserving surgery (BCS) is particularly affected by this problem, with current re-excision rates above 25%. Due to a lack of clinically available methodologies for detection of involved or close tumor margins, much effort is focused on developing intraoperative margin assessment modalities that can aid in addressing this unmet clinical need. BCS provides a unique opportunity to design contrast-based technologies that are able to assess tumor margins independent from the patient, providing a rapid pathway from bench to bedside at a much lower cost. Since resected tissue is removed from the patient's blood supply, non-specific contrast agent uptake becomes a challenge due to the lack of clearance. Therefore, a dual probe, ratiometric fluorescence imaging approach was taken in an effort to reduce non-specific signal, and provide a modality that could demonstrate rapid, robust margin assessment on resected patient samples. Termed, dual-stain difference specimen imaging (DDSI), DDSI includes the use of spectrally unique, and fluorescently labeled target-specific, as well as non-specific biomarkers. In the present study, we have applied epidermal growth factor receptor (EGFR) targeted DDSI to tumor xenografts with variable EGFR expression levels using a previously optimized staining protocol, allowing for a quantitative assessment of the predictive power of the technique under biologically relevant conditions. Due to the presence of necrosis in the model tumors, ring analysis was employed to characterize diagnostic accuracy as measured by receiver operator characteristic (ROC) curve analysis. Our findings demonstrate the robust nature of the DDSI technique even in the presence of variable biomarker expression and spatial patterns. These results support the continued development of this technology as a robust diagnostic tool for tumor margin assessment in resected specimens during BCS.

Use of intraoperative navigation in oral and maxillofacial surgery

In recent years, a trend towards computed tomography (CT) guided navigation has evolved to improve intraoperative accuracy during maxillofacial surgery. This modality allows the surgeon to link previously acquired imaging with clinical findings in the operating room in real time enabling a live three-dimensional map of the patients’ anatomy in relation to the surgical problem. The maxillofacial region presents a unique challenge with respect to surgical approaches and complex anatomy. The utility of dynamic imaging to aid in reducing surgical error is an area of great interest in the head and neck region. Advances in navigation-assisted surgery allow for its utilisation in several fields within maxillofacial surgery including oncology, trauma, pathology, orthognathic surgery, and implantology. This lecture will review the indications, surgical set up and uses of intraoperative CT guided navigation.

Measuring instant emotions based on facial expressions during computer-based assessment

Emotions are very important during learning and assessment procedures. However, measuring emotions is a very demanding task. Several tools have been developed and used for this purpose. In this paper, the efficiency of the FaceReader during a computer-based assessment (CBA) was evaluated. Instant measurements of the FaceReader were compared with the researchers' estimations regarding students' emotions. The observations took place in a properly designed room in real time. Statistical analysis showed that there are some differences between FaceReader's and researchers' estimations regarding Disgusted and Angry emotions. Results showed that FaceReader is capable of measuring emotions with an efficacy of over 87% during a CBA and that it could be successfully integrated into a computer-aided learning system for the purpose of emotion recognition. Moreover, this study provides useful results for the emotional states of students during CBA and learning procedures. This is actually the first time that student's instant emotions were measured during a CBA, based on their facial expressions. Results showed that most of the time students were experiencing Neutral, Angry, and Sad emotions. Furthermore, gender analysis highlights differences between genders' instant emotions.

3차원 모델 재구성을 통한 모바일 파노라마 시스템

이미지를 통하여 공간 구축 방법은 파노라마 시스템과 이미지 기반 모델링이 있다. 파노라마 시스템으로 구축된 공간은 사진을 이어 붙이는 형식으로 실제 구조와 일치하지 않아 정확한 구조를 파악하기 힘들다. 이미지 기반 모델링은 대부분 데스크탑을 기반으로 하고 있어 실시간으로 공간 구성이 어렵고, 이미지 처리를 위한 시간이 많이 든다. 따라서 본 논문에서는 모바일을 이용하여 현장에서 사용할 수 있고, 실제 공간과 일치하는 구조를 가지는 3D 공간을 구성하는 방법을 제안한다. 본 연구에서는 여러 장의 이미지로 공간 전체를 3D로 구성한다. 사용자의 스케치 입력을 통하여 이미지에서 공간의 구조 정보를 얻고 입력된 구조 정보들 중 바닥면을 기본 단면으로 하여 전체 공간의 파노라마 구조 정보를 구성한다. 이렇게 구성된 파노라마 구조 정보로부터 벽면, 바닥면 천장면으로 분리하여 3D 공간을 모델링하고 텍스쳐를 매핑함으로 3D 파노라마 공간의 재구성이 완료된다. 본 연구를 통하여 사용자는 쉽고 빠르게 다양한 구조의 3D 공간을 구축하여 살펴볼 수 있었다. We can use panorama systems or image based modeling systems when we want to make 3D space model and look around result. Panorama systems make 3D model to stitch images and map cylinder or cube. The structure of 3D model, made by panorama system, is not same as structure of a real room, so user can't infer a real structure. Typically, Image based modeling systems work on a desktop computer. That makes it difficult to reconstruct 3D model in real time and take long time for processing. In this paper, we propose a 3D panorama modeling system that uses images on a mobile device. This system reconstructs a 3D space model, similar with a real room in real time, from multiple images captured part of rooms. Using this system, user can reconstruct various shape of space and look around a 3D space model.

Adaptive fuzzy controller: Application to the control of the temperature of a dynamic room in real time

This paper presents a direct adaptive fuzzy controller for unknown monotonic nonlinear systems, thus not requiring the system model, but only a little information about it: the plant monotonicity and its delay. Without any off-line pre-training, the algorithm achieves very high control performance through a three-stage algorithm: (1) output scale factor, (2) adaptation of the fuzzy rule consequents and (3) optimization of the position of the membership functions. The design is simple, in the sense that both the membership functions and the rule-base can be initialized from arbitrary values. It can be applied to a large class of monotonic dynamic or static plants, due the fact that the system is able to modify its behaviour in real time, i.e., during the control process.