A description of the hearing health / hearing aid components that Seltech offers from Knowles: balanced armatures, RIC (receiver in canal), MEMS microphones, telecoil, switch, acoustic dampers, wax protection, nameplates
This document provides the specifications for a speaker, including:
1. The speaker should operate within temperature ranges of -30属C to 85属C and humidity ranges of 45-85%. Testing conditions should be 20属C賊2属C and 60-70% humidity.
2. Electrical specifications include a rated input power of 0.7W, impedance of 8立賊15%, and sound pressure level of 88dB at various frequencies.
3. Testing methods include measuring the speaker's frequency response using an audio analyzer and microphone.
4. The speaker must pass environmental tests including temperature, humidity, and drop tests.
This document provides specifications for an EC31S09VN4 loudspeaker membrane basket assembly. Key specifications include:
1. The assembly uses a neodymium magnet that is 18.5mm thick and has a diameter of 31mm.
2. It has an impedance of 4 ohms, a power rating of 3.5 watts, and a resonant frequency of 250Hz.
3. Additional specifications cover dimensions, sensitivity, frequency response, total harmonic distortion, storage temperature, polarity, and testing results for rub and buzz, insulation resistance, temperature ranges, and humidity.
This document provides specifications for a 28mm HPFS speaker with spring contacts and foam pad with the model number WD11903Y8H. It includes details on the mechanical characteristics, electrical and acoustic specifications, environmental conditions, and packaging. The speaker has an impedance of 8 ohms, resonance frequency of 700Hz, sensitivity of 83.5dB, and is guaranteed to function in temperatures between -40属C to +85属C. It is packaged in trays of 48 units per box with 768 speakers per box.
This document is a speaker box specification for an order containing one GR1511L030UN8 speaker. It includes:
1) Mechanical characteristics of the speaker box such as materials used and mechanical drawings.
2) Electro-acoustic characteristics of the speaker including frequency response, total harmonic distortion, electro-acoustic parameters, and power handling specifications.
3) Details on measurement setup and parameters that will be tested for all units, including sensitivity, frequency response, total harmonic distortion, and rub and buzz.
This document provides specifications for a magnet type gasket membrane basket speaker. Key details include:
1. The speaker has an 18mm diameter neodymium magnet and a 4 ohm impedance.
2. Performance specifications include a power handling of 1 watt continuous and 1.2 watts peak, a frequency response of 350Hz to 5kHz, and a sensitivity of 78dB at 1 watt measured 0.5 meters away.
3. The speaker is rated to operate between -40属C to +85属C and pass various tests for insulation, humidity, voltage, and temperature resistance.
This document provides specifications for a rectangular micro-speaker measuring 16x9x3mm. It outlines the speaker's electrical and acoustic specifications including its rated input power, impedance, sound pressure level, resonance frequency, frequency range, and distortion. It also describes the speaker's construction, typical frequency response, environmental test requirements, dimensions, PCB layout, and packing information.
This document provides specifications for a CR1609L030BN8DAP speaker with add-on, including its mechanical characteristics, material list, and stamp. It refers to missing mechanical drawing information in specification document CR1609L030BN8 and lists that specification as a related document.
This document provides specifications for an 11x15mm loudspeaker with a front gasket. It includes the mechanical drawing, details about markings stamped on the product, a list of materials including the speaker, gasket, adhesive film and pull tab. It also references the dedicated datasheet for the speaker model GR1511L030UN8.
This document specifies the mechanical characteristics of the BR1511 waterproof speaker with a waterproof gasket. It details the thickness of compressed foam, removable pull-tab, double adhesive sealing, and compressible foam layer above the 3.5mm speaker unit. The document refers to specification BR1511L035UN6-WP for additional speaker details and lists GASKET11X15-WPGDA as the material for the waterproof gasket.
The document discusses proximity and touch sensor solutions from Azoteq for wearable applications. It describes the typical characteristics of wearables like limited space, small displays, and low power requirements. It then provides examples of how Azoteq's ProxSense capacitive sensors can be used for wear detection, touch keys, swipes, sliders, scroll wheels, and trackpads. It highlights advantages like improved battery life, intuitive interfaces, and ease of implementation compared to mechanical buttons. Finally, it presents examples of unique features like combining touch and hall sensors, gestures on metal surfaces, and enabling blind navigation.
This document provides the specifications for a 28mm HPFS waterproof speaker with spring contacts and foam pad. It includes details on the mechanical characteristics, materials used, electrical and acoustic specifications, environmental conditions, packaging, and recommended gasket. The speaker has an IPx7 water/gas tightness rating and is tested to withstand differential air pressures and prevent leakage. It has a rated impedance of 8 ohms, resonance frequency of 700Hz, and maximum short term power handling of 1W.
This document provides an overview and specifications for audio transducers, including audio exciters, BMR speakers, amplifier Bluetooth modules, and audio amplifier ICs produced by Tectonic Elements. It describes the benefits of their exciters which can transform flat panels into speakers, their BMR speakers which enhance visual impact with compact designs, and their amplifier Bluetooth modules which allow for wireless speakers. Product details and specifications are provided for various exciter and speaker models.
Rearchitecturing a 9-year-old legacy Laravel application.pdfTakumi Amitani
油
An initiative to re-architect a Laravel legacy application that had been running for 9 years using the following approaches, with the goal of improving the systems modifiability:
Event Storming
Use Case Driven Object Modeling
Domain Driven Design
Modular Monolith
Clean Architecture
This slide was used in PHPxTKY June 2025.
https://phpxtky.connpass.com/event/352685/
Third Review PPT that consists of the project d etails like abstract.Sowndarya6
油
CyberShieldX is an AI-driven cybersecurity SaaS web application designed to provide automated security analysis and proactive threat mitigation for business websites. As cyber threats continue to evolve, traditional security tools like OpenVAS and Nessus require manual configurations and lack real-time automation. CyberShieldX addresses these limitations by integrating AI-powered vulnerability assessment, intrusion detection, and security maintenance services. Users can analyze their websites by simply submitting a URL, after which CyberShieldX conducts an in-depth vulnerability scan using advanced security tools such as OpenVAS, Nessus, and Metasploit. The system then generates a detailed report highlighting security risks, potential exploits, and recommended fixes. Premium users receive continuous security monitoring, automatic patching, and expert assistance to fortify their digital infrastructure against emerging threats. Built on a robust cloud infrastructure using AWS, Docker, and Kubernetes, CyberShieldX ensures scalability, high availability, and efficient security enforcement. Its AI-driven approach enhances detection accuracy, minimizes false positives, and provides real-time security insights. This project will cover the system's architecture, implementation, and its advantages over existing security solutions, demonstrating how CyberShieldX revolutionizes cybersecurity by offering businesses a smarter, automated, and proactive defense mechanism against ever-evolving cyber threats.
Civil engineering faces significant challenges from expansive soils, which can lead to structural damage. This study aims to optimize subtractive clustering and Fuzzy C-Mean Clustering (FCM) models for the most accurate prediction of swelling percentage in expansive soils. Two ANFIS models were developed, namely the FIS1S model using subtractive clustering and the FIS2S model utilizing the FCM algorithm. Due to the MATLAB graphical user interface's limitation on the number of membership functions, the coding approach was employed to develop the ANFIS models for optimal prediction accuracy and problem-solving time. So, two programs were created to determine the optimal influence radius for the FIS1S model and the number of membership functions for the FIS2S model to achieve the highest prediction accuracy. The ANFIS models have demonstrated their highest predictive ability in predicting swelling percentage, thanks to the optimization of membership functions and cluster centers. The developed programs also showed excellent performance and can be potentially applied to optimize subtractive clustering and FCM models in accurately modeling various engineering aspects.
This research presents a machine learning (ML) based model to estimate the axial strength of corroded RC columns reinforced with fiber-reinforced polymer (FRP) composites. Estimating the axial strength of corroded columns is complex due to the intricate interplay between corrosion and FRP reinforcement. To address this, a dataset of 102 samples from various literature sources was compiled. Subsequently, this dataset was employed to create and train the ML models. The parameters influencing axial strength included the geometry of the column, properties of the FRP material, degree of corrosion, and properties of the concrete. Considering the scarcity of reliable design guidelines for estimating the axial strength of RC columns considering corrosion effects, artificial neural network (ANN), Gaussian process regression (GPR), and support vector machine (SVM) techniques were employed. These techniques were used to predict the axial strength of corroded RC columns reinforced with FRP. When comparing the results of the proposed ML models with existing design guidelines, the ANN model demonstrated higher predictive accuracy. The ANN model achieved an R-value of 98.08% and an RMSE value of 132.69 kN which is the lowest among all other models. This model fills the existing gap in knowledge and provides a precise means of assessment. This model can be used in the scientific community by researchers and practitioners to predict the axial strength of FRP-strengthened corroded columns. In addition, the GPR and SVM models obtained an accuracy of 98.26% and 97.99%, respectively.
May 2025: Top 10 Read Articles Advanced Information Technologyijait
油
International journal of advanced Information technology (IJAIT) is a bi monthly open access peer-reviewed journal, will act as a major forum for the presentation of innovative ideas, approaches, developments, and research projects in the area advanced information technology applications and services. It will also serve to facilitate the exchange of information between researchers and industry professionals to discuss the latest issues and advancement in the area of advanced IT. Core areas of advanced IT and multi-disciplinary and its applications will be covered during the conferences.
Rigor, ethics, wellbeing and resilience in the ICT doctoral journeyYannis
油
The doctoral thesis trajectory has been often characterized as a long and windy road or a journey to Ithaka, suggesting the promises and challenges of this journey of initiation to research. The doctoral candidates need to complete such journey (i) preserving and even enhancing their wellbeing, (ii) overcoming the many challenges through resilience, while keeping (iii) high standards of ethics and (iv) scientific rigor. This talk will provide油a personal account of lessons learnt and recommendations from a senior researcher over his 30+ years of doctoral supervision and care for doctoral students. Specific attention will be paid on the special features of the (i) interdisciplinary doctoral research that involves Information and Communications Technologies (ICT) and other scientific traditions, and (ii) the challenges faced in the complex technological and research landscape dominated by Artificial Intelligence.
International Journal of Advance Robotics & Expert Systems (JARES)jaresjournal868
油
Call For Papers!!!
International Journal of Advance Robotics & Expert Systems (JARES)
Web page Link: http://airccse.com/jares/index.html
Submission Deadline :June17, 2025
submission Link: http://airccse.com/submission/home.html
Contact Us : jaresjournal@yahoo.com or eicjares@airccse.com or jares@aircconline.com
May 2025: Top 10 Cited Articles in Software Engineering & Applications Intern...sebastianku31
油
The International Journal of Software Engineering & Applications (IJSEA) is a bi-monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the Software Engineering & Applications. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on understanding Modern software engineering concepts & establishing new collaborations in these areas.
This document provides specifications for a CR1609L030BN8DAP speaker with add-on, including its mechanical characteristics, material list, and stamp. It refers to missing mechanical drawing information in specification document CR1609L030BN8 and lists that specification as a related document.
This document provides specifications for an 11x15mm loudspeaker with a front gasket. It includes the mechanical drawing, details about markings stamped on the product, a list of materials including the speaker, gasket, adhesive film and pull tab. It also references the dedicated datasheet for the speaker model GR1511L030UN8.
This document specifies the mechanical characteristics of the BR1511 waterproof speaker with a waterproof gasket. It details the thickness of compressed foam, removable pull-tab, double adhesive sealing, and compressible foam layer above the 3.5mm speaker unit. The document refers to specification BR1511L035UN6-WP for additional speaker details and lists GASKET11X15-WPGDA as the material for the waterproof gasket.
The document discusses proximity and touch sensor solutions from Azoteq for wearable applications. It describes the typical characteristics of wearables like limited space, small displays, and low power requirements. It then provides examples of how Azoteq's ProxSense capacitive sensors can be used for wear detection, touch keys, swipes, sliders, scroll wheels, and trackpads. It highlights advantages like improved battery life, intuitive interfaces, and ease of implementation compared to mechanical buttons. Finally, it presents examples of unique features like combining touch and hall sensors, gestures on metal surfaces, and enabling blind navigation.
This document provides the specifications for a 28mm HPFS waterproof speaker with spring contacts and foam pad. It includes details on the mechanical characteristics, materials used, electrical and acoustic specifications, environmental conditions, packaging, and recommended gasket. The speaker has an IPx7 water/gas tightness rating and is tested to withstand differential air pressures and prevent leakage. It has a rated impedance of 8 ohms, resonance frequency of 700Hz, and maximum short term power handling of 1W.
This document provides an overview and specifications for audio transducers, including audio exciters, BMR speakers, amplifier Bluetooth modules, and audio amplifier ICs produced by Tectonic Elements. It describes the benefits of their exciters which can transform flat panels into speakers, their BMR speakers which enhance visual impact with compact designs, and their amplifier Bluetooth modules which allow for wireless speakers. Product details and specifications are provided for various exciter and speaker models.
Rearchitecturing a 9-year-old legacy Laravel application.pdfTakumi Amitani
油
An initiative to re-architect a Laravel legacy application that had been running for 9 years using the following approaches, with the goal of improving the systems modifiability:
Event Storming
Use Case Driven Object Modeling
Domain Driven Design
Modular Monolith
Clean Architecture
This slide was used in PHPxTKY June 2025.
https://phpxtky.connpass.com/event/352685/
Third Review PPT that consists of the project d etails like abstract.Sowndarya6
油
CyberShieldX is an AI-driven cybersecurity SaaS web application designed to provide automated security analysis and proactive threat mitigation for business websites. As cyber threats continue to evolve, traditional security tools like OpenVAS and Nessus require manual configurations and lack real-time automation. CyberShieldX addresses these limitations by integrating AI-powered vulnerability assessment, intrusion detection, and security maintenance services. Users can analyze their websites by simply submitting a URL, after which CyberShieldX conducts an in-depth vulnerability scan using advanced security tools such as OpenVAS, Nessus, and Metasploit. The system then generates a detailed report highlighting security risks, potential exploits, and recommended fixes. Premium users receive continuous security monitoring, automatic patching, and expert assistance to fortify their digital infrastructure against emerging threats. Built on a robust cloud infrastructure using AWS, Docker, and Kubernetes, CyberShieldX ensures scalability, high availability, and efficient security enforcement. Its AI-driven approach enhances detection accuracy, minimizes false positives, and provides real-time security insights. This project will cover the system's architecture, implementation, and its advantages over existing security solutions, demonstrating how CyberShieldX revolutionizes cybersecurity by offering businesses a smarter, automated, and proactive defense mechanism against ever-evolving cyber threats.
Civil engineering faces significant challenges from expansive soils, which can lead to structural damage. This study aims to optimize subtractive clustering and Fuzzy C-Mean Clustering (FCM) models for the most accurate prediction of swelling percentage in expansive soils. Two ANFIS models were developed, namely the FIS1S model using subtractive clustering and the FIS2S model utilizing the FCM algorithm. Due to the MATLAB graphical user interface's limitation on the number of membership functions, the coding approach was employed to develop the ANFIS models for optimal prediction accuracy and problem-solving time. So, two programs were created to determine the optimal influence radius for the FIS1S model and the number of membership functions for the FIS2S model to achieve the highest prediction accuracy. The ANFIS models have demonstrated their highest predictive ability in predicting swelling percentage, thanks to the optimization of membership functions and cluster centers. The developed programs also showed excellent performance and can be potentially applied to optimize subtractive clustering and FCM models in accurately modeling various engineering aspects.
This research presents a machine learning (ML) based model to estimate the axial strength of corroded RC columns reinforced with fiber-reinforced polymer (FRP) composites. Estimating the axial strength of corroded columns is complex due to the intricate interplay between corrosion and FRP reinforcement. To address this, a dataset of 102 samples from various literature sources was compiled. Subsequently, this dataset was employed to create and train the ML models. The parameters influencing axial strength included the geometry of the column, properties of the FRP material, degree of corrosion, and properties of the concrete. Considering the scarcity of reliable design guidelines for estimating the axial strength of RC columns considering corrosion effects, artificial neural network (ANN), Gaussian process regression (GPR), and support vector machine (SVM) techniques were employed. These techniques were used to predict the axial strength of corroded RC columns reinforced with FRP. When comparing the results of the proposed ML models with existing design guidelines, the ANN model demonstrated higher predictive accuracy. The ANN model achieved an R-value of 98.08% and an RMSE value of 132.69 kN which is the lowest among all other models. This model fills the existing gap in knowledge and provides a precise means of assessment. This model can be used in the scientific community by researchers and practitioners to predict the axial strength of FRP-strengthened corroded columns. In addition, the GPR and SVM models obtained an accuracy of 98.26% and 97.99%, respectively.
May 2025: Top 10 Read Articles Advanced Information Technologyijait
油
International journal of advanced Information technology (IJAIT) is a bi monthly open access peer-reviewed journal, will act as a major forum for the presentation of innovative ideas, approaches, developments, and research projects in the area advanced information technology applications and services. It will also serve to facilitate the exchange of information between researchers and industry professionals to discuss the latest issues and advancement in the area of advanced IT. Core areas of advanced IT and multi-disciplinary and its applications will be covered during the conferences.
Rigor, ethics, wellbeing and resilience in the ICT doctoral journeyYannis
油
The doctoral thesis trajectory has been often characterized as a long and windy road or a journey to Ithaka, suggesting the promises and challenges of this journey of initiation to research. The doctoral candidates need to complete such journey (i) preserving and even enhancing their wellbeing, (ii) overcoming the many challenges through resilience, while keeping (iii) high standards of ethics and (iv) scientific rigor. This talk will provide油a personal account of lessons learnt and recommendations from a senior researcher over his 30+ years of doctoral supervision and care for doctoral students. Specific attention will be paid on the special features of the (i) interdisciplinary doctoral research that involves Information and Communications Technologies (ICT) and other scientific traditions, and (ii) the challenges faced in the complex technological and research landscape dominated by Artificial Intelligence.
International Journal of Advance Robotics & Expert Systems (JARES)jaresjournal868
油
Call For Papers!!!
International Journal of Advance Robotics & Expert Systems (JARES)
Web page Link: http://airccse.com/jares/index.html
Submission Deadline :June17, 2025
submission Link: http://airccse.com/submission/home.html
Contact Us : jaresjournal@yahoo.com or eicjares@airccse.com or jares@aircconline.com
May 2025: Top 10 Cited Articles in Software Engineering & Applications Intern...sebastianku31
油
The International Journal of Software Engineering & Applications (IJSEA) is a bi-monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the Software Engineering & Applications. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on understanding Modern software engineering concepts & establishing new collaborations in these areas.
The development of smart cities holds immense significance in shaping a nation's urban fabric and effectively addressing urban challenges that profoundly impact the economy. Among these challenges, road accidents pose a significant obstacle to urban progress, affecting lives, supply chain efficiency, and socioeconomic well-being. To address this issue effectively, accurate forecasting of road accidents is crucial for policy formulation and enhancing safety measures. Time series forecasting of road accidents provides invaluable insights for devising strategies, enabling swift actions in the short term to reduce accident rates, and informing well-informed road design and safety management policies for the long term, including the implementation of flyovers, and the enhancement of road quality to withstand all weather conditions. Deep Learning's exceptional pattern recognition capabilities have made it a favored approach for accident forecasting. The study comprehensively evaluates deep learning models, such as RNN, LSTM, CNN+LSTM, GRU, Transformer, and MLP, using a ten-year dataset from the esteemed Smart Road Accident Database in Hubballi-Dharwad. The findings unequivocally underscore LSTM's superiority, exhibiting lower errors in both yearly (RMSE: 0.291, MAE: 0.271, MAPE: 6.674%) and monthly (RMSE: 0.186, MAE: 0.176, MAPE: 5.850%) variations. Based on these compelling findings, the study provides strategic recommendations to urban development authorities, emphasizing comprehensive policy frameworks encompassing short-term and long-term measures to reduce accident rates alongside meticulous safety measures and infrastructure planning. By leveraging insights from deep learning models, urban development authorities can adeptly shape the urban landscape, fostering safer environments and contributing to global safety and prosperity.