Sound Warning Research Articles

PI GUARD ENHANCED DOOR SECURITY WITH RASPBERRY PI

Abstract—There has been a rapid rise in cases of theft; this requires urgent security measures against these crimes. Thieves should be apprehended early and effectively. Here comes a door security system proposed based on Raspberry Pi to handle such matters. It comprises a keypad to provide password authentication, the Pi Camera to take snaps in case of three failures, and a buzzer that is used for sound warnings. In the case of three wrong password attempts, the system captures an intruder’s picture and delivers them via email to the resident along with the nearest police station with the help of SMTP. The buzzer rings out with every incorrect attempt. A solenoid or stepper motor acts as a lock for physical security. This system combines affordability, scalability, and efficiency in enhancing responsiveness and deterrence during unauthorized access at- tempts, providing a practical and modern solution for residential security. Keywords:Internet of Things, Raspberry Pi, SMTP Protocol, Real-Time Surveillance.

PENGEMBANGAN APLIKASI KEAMANAN MOBILE UNTUK MENGAWASI JARINGAN RUMAH DARI JARAK JAUH

In the current era of globalization, the use of mobile devices has become an important part of daily life by providing easy internet access to various online service applications. Security is an important aspect to deal with increasing general crime in Indonesia, for this reason innovation is needed to develop a remote home security application to prevent theft. The solutionis to create a home monitoring tool that adopts CCTV cameras. Which uses ESP32-CAM as a microcontroller which can be monitored via the application, there is also a PIR Sensor to detect living objects. The output produced is a buzzer as an alarm sound warning and there is also a notification in the application.

Physiological costs of warning: Defensive hissing increases metabolic rate and evaporative water loss in a venomous snake

To minimize predation risk and the cost of confronting predators, prey have developed a range of defensive strategies and warning signals. Although advantageous, defensive warnings may also induce physiological and energy costs to the emitter. Ventilatory sounds (hissing) are the most distributed warning sound in vertebrates. Because they involve the respiratory apparatus, defensive hissing may substantially increase evaporative water loss. Herein, we examined the determinants of hissing as well as its physiological costs in a medium-sized venomous snake, the long-nosed viper (Vipera ammodytes). We first used a neutral arena and applied standardized stimulation to measure the occurrence and acoustic characteristics of warning hissing. Then, we used open-flow respirometry to quantify changes in respiratory gas exchanges (oxygen consumption and evaporative water loss) during defensive responses. We demonstrated that males are more likely to engage in sound warnings when stimulated. Expirations generated the strongest signals compared to inspiration but did not differ between sexes. We found that defensive hissing dramatically increased average metabolic rate and evaporative water loss during the 10-minute stimulation period, and this effect was more pronounced in males. Metabolic rates and evaporative water loss were closely related to the duration of hissing. Overall, our results indicate that respiratory-based warning sounds induce significant physiological costs and may alter water balance. The higher responsiveness in males than females likely reflects sexually selective pressure (higher mobility for mate acquisition) and enhanced risk exposure.

Peringatan Dini Banjir Berbasis Internet Of Things (IOT) dan Telegram

Flooding is a natural event that can have serious impacts on ecosystems, the economy and human life. In efforts to mitigate and control flood risks, early warning plays an important role in providing quick information to the public and the authorities. In this context, the application of the Internet of Things (IoT) provides an innovative solution by utilizing the latest technology to create an efficient and accurate flood early warning system. This research is intended to create a prototype river water level monitoring system using NodeMCU and the Telegram application programming interface as a first step in anticipating flooding. The main objective is to provide assistance to supervisory officers in monitoring river water levels in real time. This research method includes the development and integration of sensors connected to an IoT network to accurately detect changes in water level. The system also implements efficient data analysis algorithms to determine whether conditions require early warning. Telegram was chosen as communication platform to convey warning messages to the public. The IoT device is connected to a buzzer which will provide a sound warning when the water level reaches a threshold. The research results obtained show that water level conditions in the range of 2cm-50cm are categorized as Alert 1 status, so the buzzer (Alarm) is On. In the 51cm-99cm range, the status is Alert 2, and in the 100cm-400cm range the status is Alert 3 with the buzzer Off. Apart from that, via the Telegram bot the status of Alert 3, Alert 2, and Alert 1 will be informed

Pose Detection and Recurrent Neural Networks for Monitoring Littering Violations

Infrastructure development requires various considerations to maintain its continuity. Some public facilities cannot survive due to human indifference and irresponsible actions. Unfortunately, the government has to spend a lot of money, effort, and time to repair the damage. One of the destructive behaviors that can have an impact on infrastructure and environmental problems is littering. Therefore, this paper proposes a device as an alternative for catching littering rule violators. The proposed device can be used to monitor littering and provide warnings to help officers responsible for capturing the violators. In this innovation, the data obtained by the camera are sent to a mini-PC. The device will send warning information to a mobile phone when someone litters. Then, a speaker will turn on and issue a sound warning: “Do not litter”. The device uses pose detection and a recurrent neural network (RNN) to recognize a person’s activity. All activities can be monitored in a more distant place using IoT technology. In addition, this tool can also monitor environmental conditions and replace city guards to monitor the area. Thus, the municipality can save money and time.

Construction of an Early Warning System Based on a Fuzzy Matter-Element Model for Diagnosing the Health of Alpine Grassland: A Case Study of Henan County, Qinghai, China

To maintain alpine grassland in a healthy and sustainable state, a sound warning system was developed to diagnose its potential degradation risk. Data related to grassland quality (six indicators), habitat (six indicators), and eco-carrying capacity (three indicators) at eight sampling plots were collected from Henan Mongol Autonomous County of West China in 2014 and 2017, representing five types of grassland and three grazing styles. Compared to the warning level in 2014, alpine grassland had a higher warning level in 2017, demonstrating the degradation of grassland ecosystems. Kobresia tibetica exhibited the lowest level of warning, while Kobresia humilis had the highest, indicating its corresponding safety and unsafety under the environmental change. Grassland quality is the most important index for grassland health, and soil total carbon and available phosphorus are the most important indices of habitat quality, which finally greatly influence the warning level of alpine grassland. Further analysis results suggested that winter grazing is beneficial for the health of grassland, and moderate grazing can accelerate the self-recovery of the alpine grassland due to the increase in organic matter. This study is crucial for understanding the health level of alpine grassland and its further change trends, and providing an important scientific basis for rational grazing.

RANCANG BANGUN SISTEM KEAMANAN RUMAH MENGGUNAKAN SENSOR PIR (PASSIVE INFRA RED) DENGAN PERINGATAN SUARA DAN NOTIFIKASI TELEGRAM BERBASIS MIKROKONTROLER NODE MCU

Research has been carried out aimed at:(1) to produce a home security system using a PIR (passive infrared) sensor with voice warnings and telegram notifications based on the MCU node microcontroller. (2) to determine the performance of the resulting home security system. The design uses a node mcu microcontroller as the main controller. The design uses a motion sensor (PIR) to detect motion that occurs inside the house. The design uses an internet modem to send telegram notifications to homeowners. The speed of communication between the microcontroller and Telegram depends on the internet network connection. Sending messages via telegram to the mcu node, it is also assumed that electricity and internet are in a stable condition. A home security system using a PIR (passive infrared) sensor with sound warnings and telegram notifications based on the MCU node microcontroller can be generated. Testing of each component (power supply, PIR sensor, MCU node microcontroller, MP3 player module, limit switch sensor and ESP8266) indicates that each part is functioning and working properly. The performance of the resulting home security system is very good. After the system is activated, any movement detected in the living room and/or terrace of the house as well as windows and/or doors that are detected are open, the system will respond by emitting a sound through the speaker in the form of a warning or informing that a house break-in has occurred while sending a chat telegram to the user.

Construction of a mobile application as a strategy for medication adherence in the elderly population

Objective: To describe the process of developing an application as a strategy to promote medication adherence in the elderly population. Methods: Methodological research of technological production. The steps of data survey, database assembly and software development were followed. A narrative review of the literature on the theme was performed. Results: In order to develop the technological tool, a prototype of the application was initially made. The central objective was to create an application program to remember the medication schedule through sound warnings and on-screen information, focusing on the autonomy of the health-disease process of the elderly population, using an accessible language, with large and legible fonts, with specific colors for the background screen and Ooblets suitable for the understanding of the target audience. Conclusion: The application contributes to medication adherence by the elderly patients, in addition to helping caregivers regarding the correct use, appropriate time, and correct dosage. The proposed technology provides the co-responsibility of the elderly citizens in their health-disease process and adherence to the prescribed therapy.

The Design of a Noise Detection Automatisation Tool in Library – Based on Internet of Things

The development of the times and technology produces innovations that facilitate human activities, one of which is for librarians to control and maintain library rooms. This study aimed to implement a noise detection automation tool and a sound monitoring system based on the Arduino nano 33 BLE sense microcontroller in a library room. The Arduino processed the data from the sound sensor through the Edge Impulse platform. Suppose a sound with a value exceeds 0.6 and takes more than 10 seconds. In that case, the warning "QUIET, PLEASE!" will be displayed, and a sound warning will also be issued via a buzzer. The sound warning can be monitored to turn on and off the buzzer through the application. When the librarian wants to turn off the buzzer, they can click the button to turn off the speaker; on the other hand, if they want to keep the buzzer on, they can click the button to turn on the speaker.

“Make sure I hear snoring”: Adolescent girls, trans, and non-binary youth using sound for sexual wellbeing boundary-making at home during COVID-19

To understand how COVID-19′s stay-at-home orders impacted youths’ sexual and social development, we conducted five virtual focus groups (n = 34) with adolescent girls’, trans’, and non-binary youths’ aged 16–19 between April-June 2021 in the GTA. We queried experiences of home, privacy, and sexual wellbeing during Canada's third wave. Auto-generated zoom transcripts were coded using an inductive framework with NVivo. Field notes and team discussions on the coded data informed the analysis. This paper explores how sexual wellbeing during the pandemic is practiced in relation to, dependent upon, and negotiated at home. Using intersectionality theory and embodiment theory, this research analyzes how youth's diverse identities shape their understandings and experiences of sexual wellbeing. We found youth needed spaces where they were not only unseen, but importantly, unheard. We argue sound as an important piece of boundary-work that reveals the way youth construct space during precarious times. Youth primarily negotiated sonic privacy through (a) sound-proofing, (b) sound warnings and (c) “silent reassurance”, a term we coined to describe the precursor of silence from other household members in order for youth to feel safe enough to practice sexual wellbeing. We found that white youth cited the bedroom as the best space for sexual wellbeing practices, but BIPOC youth felt the bedroom was only their best available option and still found they had to negotiate privacy. Attending to intersectionality theory, we expand on McRobbie and Garber's (1976) bedroom culture concept and widen Hernes’ (2004) concept of physical, social and mental boundary-work to include sound as a fourth type, which straddles among them. This research shows how privacy, gender and sexual identities were negotiated at home in times of extreme uncertainty, highlighting how implications of home as a ‘place’ during the pandemic, constructs sexual wellbeing. Mapping how and where youth practice embodied sexual wellbeing exposes the ways that private and public understandings of identity relate to sexuality and geographies of home. We understand the home as a complex space that can not only determine sexual wellbeing, but where health promoting boundaries can be negotiated. We conclude with suggestions for supporting adolescent sexual wellbeing, inside and outside the home, during and after COVID-19.

Penghitung Pengunjung dan Deteksi Masker Menggunakan OpenCV dan YOLO

The spread of COVID-19 that occurs through droplets can be avoided by reducing contact between individuals, so it is necessary to limit visitors, especially in crowded places such as shopping centers to avoid transmission between visitors. This study utilizes YOLOv3 object detection to recognize objects from camera image input, which is implemented on the Raspberry Pi 4, to identify visitors and use masks. The results of the identification of human objects will be calculated to determine the number of visitors at the shopping center. Then a buzzer sound warning is given when visitors are not wearing masks, if visitors exceed the capacity limit, they are also given a warning via an android application to the building manager. The results of the model detection show the mAP value of 77.92% for 3 classes of mask objects, without masks and humans.

Fish Spoilage Detector

This project work involves using Arduino Uno software integrated with MQ 137- Ammonia Gas Sensor, MQ 135- Gas Sensor Module and Humidity Sensor Module DHT11 to set up a Fish Spoilage Detector model for the determination of spoilage in fish. The study takes into consideration spoilage seen in fishes and how to detect it. To study the threshold values of Ammonia, and other gases like Carbon Monoxide, model trial runs are carried out to arrive at appropriate hard measures of the threshold values, to improve the stability of a conceptual fish spoilage detector. The ammonia sensor is initially tested with a pure ammonia sample before being used to quantify total volatile basic nitrogen in various fish samples of various freshness levels. When compared to standard procedures like microbe count and chromatography, which take hours to get a result, the sensor can determine the freshness of a sample in a matter of seconds. The sensor response was shown to be highly linked with fish deterioration, demonstrating that using sensors is an effective technique to swiftly test for spoiling in a sample. After calibrating the sensor(which involved watching the fish degrade for almost two days), it was put to the test using random samples, demonstrating that it can accurately distinguish the degree of freshness of the preserved fish at varied temperatures(for measuring which a temperature sensor is also fixed). The model is run until visible indications of fish spoilage are seen. The sensors detect critical levels of ammonia, carbon monoxide and also measure humidity and temperature thereby, emitting warning signals in the form of flashes of light and a sound warning. The model setup also consists of a 1602 (16x2) LCD Display with a 12C/11C Interface that will display the temperature, humidity levels as well as that of ammonia and other gases like carbon monoxide and thus, helps in spoilage detection when the levels of these reach a particular threshold value. Calibration could be improved with detailed studies containing data regarding the rate of spoilage in fishes, temperature and humidity parameters.

Virtual Reality Implementation for University Presentation

The purpose of this study is to apply virtual reality technology for university presentation, so that evaluate if it is useful and usable. Due to the pandemic situation, the topic is also relevant to the current situation as many universities have shifted to online classes. With 3D modelling and coding, a university presentation application (only for computer engineering department) with virtual reality base has been developed that will allow the user to navigate around the school building and its surroundings. Because the developed application uses a new technology, it is designed to be convenient and simple considering that it can be difficult to use. Application allows movement in this virtual world according to constraints, as well as providing sound warnings when necessary. The application tested with a helmeted display, represented by Google Cardboard, with two lenses in it and a groove for the phone. The limited experiments by different users showed that the application was impressive, although it was not easy to use devices efficiently for an unexperienced user. On the other hand, with emerging technologies, it is possible develop such applications as web application using Unity WebVR Assests which will make it easy of use.

Taşınabilir Epilepsi Nöbeti Uyarı ve Acil Müdahale Kol Bandı Tasarımı

Epilepsy, also known as Sara in Turkish, is a neurological disorder that is very common in the community. It can have an impact as significant on the quality of life of individuals and cause injury or fatal consequences. The most important symptom of epilepsy is the patient's seizures. In case of seizure, changes in consciousness, behaviour, sensation in motor movements and autonomic functions are observed. As a result, involuntary contractions and movements occur. Epilepsy is a generally unknown disorder in populations with first aid deficiency. Various non-medical interventions are applied during the patient's seizure and these wrong practices adversely affect the life of the patient. Therefore, it should be known by the people around it how the emergency intervention should be done during an epileptic seizure. In this study, a medical device was designed to alert people to epileptic patients during seizures and tell them what to do. With this device, people around the person having an epileptic seizure will be told what should be done with the sound warnings from the device and the patient will be able to survive the seizure in a healthy.

Prototipo de sistema inteligente basado en patrones de ondas cerebrales para prevenir accidentes de tránsito

Este artículo presenta el prototipo de sistema inteligente basado en patrones de ondas cerebrales para prevenir accidentesde tránsito, que, mediante un sensor colocado en la cabeza del conductor, monitoriza los patrones de ondas cerebrales los cuales sonenviados en tiempo real vía Bluetooth a una placa Raspberry Pi para ser procesados con estrategias de aprendizaje automático y deesta forma enviar una alerta visual y sonora cuando detecta el estado de somnolencia en el conductor. Para la construcción delprototipo se recogieron datos de cuatro personas en tres estados distintos, mientras estaban despiertas, somnolientas y dormidas. Elconjunto de datos fue procesado con cuatro algoritmos de aprendizaje supervisado: vecinos más cercanos, máquina de soportevectorial, árboles de decisión, bosques aleatorios; siendo este último el que mejores resultados mostró alcanzando un 82.05% deprecisión al diferenciar los tres estados anteriormente mencionados. El costo estimado del sistema es de 210 USD, resultando unsistema económico con relación a otros existentes en el mercado.

A supervisory control system of a biodiesel production plant

This paper describes a system for control and monitoring of plants for production of ecologically pure fuel biodiesel, which is obtained by transforming vegetable oils into fatty acid methyl esters by the reaction of transesterification. The automation provides synchronized operation of installed devices and equipment, protection and blockage of devices in the cases of irregularities, optimum energy consumption, elimination of subjective factor influences, increased efficiency of the plant and achievement of required product quality. It also enables prediction and diagnosis of faults, prevention of the occurrence of anomalies and ensures quality system maintenance and continual production. The supervisory control system is based on PLC and SCADA configuration with decentralized and distributed control of the component parts of the plant. All technical units are monitored (transformer station, diesel generator, storages with decanters of crude vegetable oil, methanol, glycerol, acids, additives and the final products - biodiesel, energy supply unit with a nitrogen station and a compressor plant, production process, as well as the fire protection system). Control units (local PLCs in feedback with operator panels), which are located in cabinets along the drives, collect local digital and analog values of process variables and forward control signals to the actuators. Certain deviations of the regulated values from the setup values cause the alarm set off in the form of light and sound warnings on local panels and the monitor at the dispatch center, with the message relating to the cause, location and time of the disturbance and requiring from the operator to confirm the notice of the alarm. Visual interpretation of the drive components, tabular and graphical representation of characteristic values on dynamic screens enables the operator to monitor the entire production process. Monitoring of the status of each component is also enabled at SCADA in the dispatch center. Control and supervision provide: measurement of process parameters and variables; receiving, processing and displaying the process measurements in the form of tables and trend graphs; visualization of drive status; chronology of events and analysis; monitoring and processing of warning and alarm signals; the possibility of local, remote automatic and remote manual control of individual objects, as well as generating and presenting daily and periodical reports.

Diagnosis of technical parameters of amplifiers used in sound warning systems

The article presents a method of diagnosing the technical conditions of a power amplifier which is used in a sound warning system (SWS). Fire Alarm Systems (FAS) and SWSs are electronic safety systems designed to protect life and health. The FAS is used for effective fire detection, while life-threatening SWSs provide efficient communication of emergency information and evacuation routes via voice. The article presents the problem of diagnosing the technical condition of power amplifiers, which are the essential elements of SWSs. Power amplifiers provide a certain level of undistorted audio (alarm messages) to the speaker set that is arranged in a building supervised by FAS. Keywords: amplifier, audible warning system, working parameters

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

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

Safe and Environment-Friendly Forward Collision Warning Messages in the Advance Warning Area of a Construction Zone

Collisions in construction zones have always been a contributing factor in compromising safety on urban roadways. National Highway Traffic Safety Administration (NHTSA) and state transportation authorities have implemented many safety countermeasures to reduce forward collision in construction zones. However, due to the complexity of traffic in construction zones (or called work zones), traditional countermeasures often fail to prevent crashes. As such, smart warning systems could be very helpful in notifying drivers about upcoming conditions within a construction zone. In this study, a smartphone-based environment-friendly warning system was designed and its effectiveness on safety and emissions were investigated in the advance warning area of a construction zone. Four different warning messages were prepared (visual, sound, male voice and female voice) to alert drivers. Driving simulator tests with eighteen participants, driving through a construction zone for ninety rounds, were conducted to investigate the impact of smart-phone based warnings on performance measures, including headway distance, headway time, speed, deceleration, and emissions. Statistical results show that, with the help of voice (either female or male) warnings on forward collisions, acceleration rate and speed were significantly lower; and headway time and distance were significantly longer. The sound and voice warnings are beneficial to the reduction in total vehicle emissions. Moreover, participants found the notification system being user friendly and helped to avoid rear-end crashes in construction zones.

Research and Design of Abnormal Sound Online Monitoring and Positioning System for Substation Equipment

In order to further improve the operation reliability of substation site equipment, abnormal sound online monitoring and positioning system for substation equipment was designed. This system consists of on-site monitoring unit, system server and client three parts. Three key technologies were researched and developed: substation abnormal sound automatic identification technology, substation abnormal sound video positioning technology and substation abnormal sound message warning system technology. Abnormal sound online monitoring and positioning system for substation equipment has reasonable structure and good results.