Remote Capability Research Articles

Optically Responsive Hydrogel with Rapid Deformation for Motion Regulation of Magnetic Actuators.

Optically and magnetically responsive soft actuators are gaining attention for their noncontact actuation, flexibility, and remote control capabilities. However, they face challenges in rapidly switching motion postures and modes, which limits their performance in complex environments. We developed bilayer hydrogel actuators based on poly(N-isopropylacrylamide) (PNIPAm) using an ice-templating method combined with free radical polymerization. This approach results in the formation of large, interconnected pores within the hydrogel. Under near-infrared light (27 W/cm2), the actuation speed of the actuator reached 38.5°/s, with complete recovery to the original shape 8 s after light cessation. In addition, the reversible changes in stiffness and volume enable the actuators to lock and dynamically adjust their magnetization curve, allowing for the decoupling of deformation and movement as well as the regulation of motion postures and modes. This work opens new pathways for multigait robots and shows promising applications in environmental monitoring and underwater exploration.

PERANCANGAN SISTEM MONITORING JARAK JAUH PINTU PINTAR RUMAH INDEKOS BERBASIS IOT (INTERNET OF THINGS) MENGGUNAKAN PLATFORM BLYNK

Security systems are crucial for ensuring the safety of residents, particularly in boarding houses, which tend to be more vulnerable to criminal activities. In this study, a door security system based on the IoT (Internet of Things) was developed using the Blynk platform. The system is designed to allow boarding house owners and residents to monitor door access via a smartphone, enhancing security more effectively and efficiently. The system utilizes a NodeMCU microcontroller as the control center, which is connected to a door sensor, and provides real-time notifications through the Blynk application. Additionally, activity log features and remote control capabilities are integrated into the system. Testing was conducted through simulation scenarios to evaluate the system's response to various security conditions. The results showed that the system operates effectively and provides real-time notifications to users. This system is expected to serve as an alternative solution for improving boarding house security that is easy to implement and use.

Gap analysis and harmonization of International Standards for Maritime Autonomous Surface Ships

Abstract This paper addresses the challenges and solutions associated with the implementation of autonomous ships, focusing on the Maritime Autonomous Surface Ships (MASS) Code developed by the International Maritime Organization (IMO). With the goal of adopting a mandatory goal-based MASS Code by 2030, this study examines the interoperability and standardization requirements necessary for the effective global operation of autonomous ships. The paper analyses the MASS Code in relation to existing international standards, identifies gaps, and proposes standards works to accommodate the emerging technologies. Additionally, it investigate on the application of Autonomous Navigation Systems (ANS) and introduces the concepts of Shore ANS and Shore Bridge to enhance remote control capabilities. The analysis emphasizes the need for comprehensive standardization to ensure the safe and efficient operation of autonomous ships in diverse maritime environments.

Deploying an IoT-based remote physics lab platform to enhance experimental physics education in remote regions

Abstract For several years, the educational gap in certain Latin American countries and around the world has become increasingly evident. The limited access to cutting-edge knowledge and technologies to strengthen student training processes has emerged as a significant problem, leading to increased inequality in job opportunities in these regions and progressive setbacks in social and economic development. One way to mitigate this problem has been to provide access to information through telecommunications. However, integration with educational processes has been deficient, especially in the areas of science, technology, engineering, and mathematics. This work proposes the development of a remote physics laboratory platform for experimental validation of models explaining certain physical phenomena. This platform is based on the Internet of Things (IoT) paradigm, allowing students and teachers to connect with these experiences coveringtopics in mechanics, electricity and magnetism, optics, and thermodynamics from remote regions. These laboratories utilize physical setups in educational institutions that have been modified to provide connectivity and remote control capabilities based on IoT. Finally, a framework for implementing new remote laboratories based on the IoT paradigm through an open-source platform is presented. The system has been tested and validated with high school and early university students to verify its usefulness, showing the potential to enhance educational processes by providing laboratory access to students and teachers from primary education to secondary education and university-level professional programs.

EduSolar: A Remote-Controlled Photovoltaic/Thermal Educational Lab with Integrated Daylight Simulation

This study presents a compact educational photovoltaic/thermal (PV/T) system designed for thorough performance assessment under simulated weather conditions. As an affordable educational tool, the system offers significant pedagogical value. The PV/T system features two photovoltaic modules: a thermally enhanced module and a standard one. The thermally enhanced module uses water as a coolant, which transfers heat from the PV cells to a fan-operated heat exchanger, with the coolant being recirculated to maintain optimal conditions. A halogen lamp, placed between the modules, simulates solar radiation to ensure effective electrical current generation. The system’s remote-control capabilities, managed via the Message Queuing Telemetry Transport (MQTT) protocol, enable real-time adjustments to the coolant flow rate, heat exchanger efficiency, and lamp brightness, as well as monitoring of electrical parameters. Experimental findings indicate that the PV/T module achieves a 7.71% increase in power output compared to the standard PV module and offers a 17.41% improvement in cooling efficiency over scenarios without cooling. Additionally, the numerical methods used in the study show a maximum deviation of 4.29% from the experimental results, which is considered acceptable. This study showcases a best practice model for solar training, applicable from elementary to university levels, and suggests innovative approaches to enhancing solar energy education.

Experimental investigation on wireless integrated smart system for energy and water resource management in Indian smart cities

In the realm of India's smart cities, precise meter readings are essential for effectively managing domestic energy and water systems. Nevertheless, meter reading employing conventional techniques prove to be both costly and time-consuming, especially considering the vast user base and deficit of everyday consumption analysis. To cope with this challenge, the proposed solution introduces a novel unified wireless smart metering system for measuring energy and water usage. This prototype harnesses the smart, advanced metering technology to manage energy and water resources. The presence of data and remote control capabilities in smart distribution transformers offers distribution operators the chance to optimize system operation and control. The innovative system proposed utilizes smart metering technology and incorporates a distribution system self-healing mechanism against power outages, revolutionizing the way utilities manage water and energy consumption. The system not only offers real-time consumption statistics to the utility provider but also provides the flexibility to remotely control the system's turn-on and turn-off functions. The system effectively captures real-time data, transmits it via LoRa to Telegram application. The system automatically re-establishes remote connections in the event of disconnections caused by emergency conditions or non-payment of the bill, once the relevant issue has been resolved. Additionally, the system promptly notifies authorities on overload, over-temperature, and instances of electricity theft. The system proficiently generates bills based on the consumed data and seamlessly transmits the consumed units to the authorities. The innovative system proposed has proven its ability to communicate effectively, yielding results that align with the given circumstances.

IOT Based Smart Grid to Remotely Monitor and Control Renewable Energy Sources using Cloud Computing

Abstract: The growing demand for clean and sustainable energy sources necessitates advancements in grid structure. This project explores the potential of an IOT-based smart grid to remotely monitor and control renewable energy sources. In this, we use solar energy as a renewable energy source, and with the help of cloud computing, we monitor and control different types of loads. The paper highlights the key components, functionalities, and benefits of such a system.The increasing demand for sustainable energy solutions fuels the development of smart grid technologies. This project proposes an IOT (Internet of Things)-enabled smart grid architecture for remote monitoring and control of renewable energy sources. The core concept involves integrating sensors with renewable energy sources like solar or wind turbines. These sensors collect real-time data on energy generation, environmental conditions, and system health. This data is then transmitted over a network to a central control system or a cloud platform for further analysis. By implementing remote control capabilities, grid operators can: regulate energy production based on demand; integrate storage solutions for surplus energy; and improve overall grid stability and reliability. The project concludes by outlining the benefits of this approach, including a reduced carbon footprint, cost savings, and a more sustainable energy future.

Magnetic arthropod soft robot with triboelectric bionic antennae for obstacle identifying and avoidance

Magnetic soft robots exhibit attractive advantages such as nontethered constraints and remote control capabilities, with broad prospects in environmental exploration, minimally invasive surgery and other fields. However, constrained by the magnetic control mode and the high flexibility of the soft materials, achieving rapid movement and perception-feedback of magnetic soft robots are still challenging. Therefore, this paper aims to draw inspiration from biomimetic joint structures to design and fabricate a magnetic arthropod soft robot capable of rapid cyclic extension-contraction deformation under an alternating magnetic field. First, a type A magnetic arthropod soft robot (MASR-A) is developed with a speed up to 1.4 body length per second (BL/s) with three-joint-unit. Next, we designed a type B magnetic arthropod soft robot (MASR-B) that offers higher flexibility and deformation adaptability with bodies owing five-joints structure. Then, inspired by snail’s tentacles, we developed bionic antennae based on triboelectric tactile sensors (TTSs), which can convert external mechanical collisions into electrical signals output, with a sensitivity of up to 0.13 V KPa−1. By mounting the bionic antennae on the head of MASR-B to realize the magnetic soft robot’s sensing function, enabling MASR-B to detect collisions with obstacles of various materials (PMMA, Resin, PLA and etc.). Particularly, the bionic antennae consists of two completely independent triboelectric sensing units (LTTS and RTTS). The signals from these two TTSs are received and identified by a microcontroller to determine the direction of obstacle relative to the robot. The relay is then controlled to alter the magnetic field generated by the electromagnetic coils to enable MASR-B to avoid obstacle. This paper provides a biomimetic design approach for the rapid movement and flexible sensing of magnetic soft robots.

Environmentally resilient data collecting system optimized for measuring low density neutron flux

In this work we detailed present the data collecting system (DCS), designed and optimized for use with a helium neutron counter even under very challenging environmental conditions. The DCS, in addition to its simplicity, allows for the flexible configuration of multiple DCS units into a single measurement system and can also interface with various types of detectors and different data acquisition systems as per the experimental requirements. The main advantages of the presented DCS include its autonomy, remote control capability, and modularity. The pulse shape analysis procedure employed within the DCS enhances measurement sensitivity, which is crucial for detecting extremely low neutron fluxes, such as those in underground laboratories.

AI ENABLED WATER CONSERVATION FOR IRRIGATION USING IOT

This project introduces a smart irrigation system that utilizes Internet of Things (IoT) technology and machine learning algorithms to enhance water management in agriculture. The system employs a series of IoT sensors distributed across the field to consistently monitor key environmental factors such as soil moisture levels, temperature, humidity, and others. The collected data is analysed using machine learning Cat Boosting algorithm. This algorithm analyze the data to determine the optimal irrigation schedule based on crop water requirements, soil conditions, weather forecasts, and historical data. The system controls irrigation equipment such as pumps, valves, and sprinklers to deliver precise amounts of water to crops at the right time. Continuous feedback from the system allows for refinement of irrigation schedules, leading to improved water conservation, increased crop yield, and cost savings for farmers. This project discusses the benefits of such a system, including water conservation, increased crop yield, cost savings, environmental sustainability, and remote monitoring and control capabilities. Overall, the integration of IoT and machine learning technologies offers a powerful solution for sustainable agriculture, enabling data-driven decision-making processes to optimize water usage and maximize crop productivity. Keywords— Smart irrigation system, Internet of Things(IOT)technology, Water conservation, Environmental parameters, Soil moisture monitoring, Increased crop yield, Machine learning algorithms

PESTI GUARD: FARMER-FRIENDLY PESTICIDE ROBOT

Agriculture is the primary source of revenue for India's population, which accounts for nearly 60% of the country's total. Farmers work in their fields to cultivate various crops based on the environment and resources available. Farmers must use large quantities of pesticides to increase food production in order to meet such high food demand for such a large population. Traditional manual pesticide spraying operations is full of direct exposure to the pesticide liquid work environment, great harm to human body and when this pesticide may come into contact with the farmer during spraying, which may trigger skin cancer and asthma illnesses. Increased pesticide spraying can impact consumer health as it enters the food chain. The widespread use of pesticides in agriculture presents significant health risks to both farmers and consumers. The pesticide spraying robot is equipped with state-of-the-art sensors to record real-time temperature and humidity levels, providing crucial environmental data for optimized pesticide application. Farmers can remotely control the robot using a user-friendly interface, instructing it to perform specific spraying tasks while maintaining a safe distance from potentially hazardous chemicals. To address this challenge, this paper proposes a Pesticide Spraying Robot designed to minimize human contact during operation while prioritizing human health through advanced environmental monitoring and remote-control capabilities.

Sign Recognition and Voice Conversion Device for Dumb

This project proposes a comprehensive hardware setup for home automation and environmental monitoring. The system includes components such as a Bluetooth module for remote control, a voice module (APR9600) for audio feedback, an LCD for display purposes, relay modules for controlling electrical devices, bulbs with holders for lighting, a CPU fan for temperature regulation, speakers for audio output, and a 5V power supply for operation. The core functionality of the system revolves around the integration of flux sensors for environmental monitoring. When flux sensors detect specific conditions, predefined audio signals are played through the voice module. These conditions correspond to six distinct signs, facilitating real-time alerts and notifications. Moreover, the system offers remote control capabilities through Bluetooth connectivity, enabling users to manage lighting and fan operations conveniently. Additionally, temperature monitoring is implemented using a DHT11 sensor, triggering the activation of the CPU fan when temperature thresholds are exceeded. Furthermore, an LCD display enhances user interaction by providing visual feedback and status updates. The project utilizes Arduino UNO as the central processing unit and incorporates 12V 1A adapters for powering specific components. Connectors and power cables are utilized for seamless integration and electrical connectivity. Overall, this project presents an integrated solution for home automation and environmental monitoring, offering flexibility, convenience, and enhanced user experience.

Home Automation System Using ESP8266 and Blynk Mobile App

The emergence of Internet of Things (IoT) technology has revolutionized various aspects of our lives, including home automation. This abstract introduces a home automation system based on the ESP8266 microcontroller, a versatile and cost-effective solution for IoT projects. The proposed system aims to provide homeowners with remote control and monitoring capabilities over various home appliances and devices through a user-friendly interface. The core components of the system include the ESP8266 microcontroller, which serves as the central processing unit, and sensors/actuators for interaction with the physical environment. The system utilizes Wi-Fi connectivity to establish communication between the ESP8266 module and a designated mobile application or web interface, enabling users to remotely monitor and control connected devices from anywhere with internet access. Keywords: Home-Automation, Energy Efficient, Blynk IOT Platform.

Ultraminiature Optical Fiber‐Tip 3D‐Microprinted Photothermal Interferometric Gas Sensors

AbstractOptical fiber sensor emerges as a highly promising technology for trace gas detection due to their high sensitivity, remote capability, and immunity to electromagnetic interference. However, the state‐or‐the‐art fiber‐optic gas sensors typically use lengthy optical fibers as gas absorption cells or coatings with functional materials to achieve more sensitive gas detection, which poses challenges such as slow response and/or poor selectivity, as well as limitations on their use in confined spaces. Here, an ultraminiature optical fiber‐tip photothermal gas sensor via direct 3D micro‐printing of a Fabry‐Pérot cavity on the end face of a standard single‐mode optical fiber is reported. It enables not only direct interaction between light and gas molecules at the fiber output but also remote interrogation through an interferometric read‐out scheme. With a low‐finesse microcavity of 66 µm in length, a noise equivalent concentration of 160 parts‐per‐billion acetylene gas is demonstrated with an ultra‐fast response time of 0.5 s. Such a small high‐performance photothermal gas sensor offers an approach to remotely detecting trace gases for a myriad of applications ranging from in‐reactor monitoring to medical diagnosis.

Smart Energy Monitoring & Appliance Control using IoT Server & GSM Network

This research includes a novel approach for energy management combining the Internet of Things (IoT) technology with Global System for Mobile Communication (GSM). Our system comes with both the capabilities i.e. real time monitoring as well as the remote-control capabilities, revolutionizing that how energy is consumed in both residential and industrial settings. The key components are the digital energy meters, IoT sensors and a GSM module creating a unified network for a smooth communication. This system enables the user to monitor usage, receive alerts or threshold limits and optimize energy efficiency easily. Due to which the user can take the precise decisions to reduce their energy consumption as well as reducing the environmental impact. This research not only promises to transform energy management but also nurtures a sustainable and cost-effective future.

IoT Based Smart Irrigation System

In recent years, the integration of Internet of Things (IoT) technology into agriculture has shown great potential for enhancing irrigation practices, thereby improving crop yield and water efficiency. This paper presents the design, implementation, and performance evaluation of an IoT-based smart irrigation system tailored for agricultural applications. The proposed system employs various sensors to monitor soil moisture levels, weather conditions, and crop water requirements in real time. Data collected from these sensors are transmitted wirelessly to a central control unit, which utilizes an intelligent algorithm to optimize irrigation scheduling and water distribution. The system also incorporates remote monitoring and control capabilities, allowing farmers to access and manage irrigation operations from anywhere via a web or mobile interface. Experimental results demonstrate the effectiveness of the IoT-based smart irrigation system in conserving water, reducing energy consumption, and enhancing crop productivity. Moreover, the scalability, reliability, and cost-effectiveness of the proposed solution make it suitable for deployment in both small-scale and large- scale agricultural settings. Key Words: IoT, smart irrigation, agriculture, soil moisture sensor, wireless communication, optimization, remote monitoring

Data Management System - Water Supply and Channeling with GIS Mapping

GIS mapping enables visualizing spatial data related to water sources, distribution networks, infrastructure assets, and other pertinent information crucial for effective management. Asset management functionalities enable tracking the condition, maintenance schedules, and lifecycle of water infrastructure assets, ensuring optimal utilization and performance. This paper presents the design and implementation of an integrated data management system tailored for water supply and channeling, augmented with Geographic Information System (GIS) mapping capabilities. The system aims to streamline the management of water resources, optimize distribution networks, and enhance decision making processes for water utility providers and stakeholders. The system architecture comprises several key components: GIS mapping, data collection mechanisms, database management, sensor integration, network analysis tools, asset management functionalities, decision support systems, remote monitoring and control capabilities, and user interfaces. Data collection mechanisms encompass various sources such as sensors, surveys, satellite imagery, and existing databases to gather comprehensive datasets on water sources, quality parameters, infrastructure condition, and demographic factors. A robust database management system is employed to efficiently store, manage, and secure the collected data, facilitating easy retrieval and analysis. Real-time sensor data from water meters, flow meters, and pressure sensors are integrated into the system to provide insights into water usage patterns, network performance, and system health. Network analysis tools utilize GIS capabilities to optimize the layout of distribution networks, identify areas for expansion, and improve operational efficiency Remote monitoring and control capabilities empower operators to monitor and manage water systems from a centralized location, enabling proactive maintenance, leak detection, and emergency response. Security measures are implemented to safeguard sensitive water infrastructure data against unauthorized access, cyber threats, and data breaches, ensuring the integrity and confidentiality of the system. Overall, the integrated data management system presented herein offers a comprehensive solution for optimizing water supply and channeling operations, enhancing efficiency, reliability, and sustainability while minimizing costs and environmental impact

Enhancing IoT Security: Proactive Phishing Website Detection Using Deep Neural Networks

The Internet of Things (IoT) has proven its utility across various domains, including healthcare, agriculture, industry, and finance. It comprises Internet-connected devices that offer remote control capabilities. However, this very connectivity exposes these devices to potential cyberattacks. Cybercriminals can exploit the vulnerabilities in these devices by sending deceptive emails or text messages containing malicious links leading to hacker websites or destructive applications. This allows them unauthorized access to connected devices and the acquisition of sensitive personal information. Such malicious tactics are collectively known as phishing and pose one of the most prevalent threats. This article presents an innovative method that harnesses the power of a Deep Neural Network to accurately classify and proactively prevent phishing websites by analyzing their URLs. The method is demonstrated through a smart home use case, aiming to reinforce IoT security and safeguard users’ sensitive data by proactively identifying and preventing phishing attacks. By harnessing the power of the Deep Learning model, this innovative technique seeks to enhance online safety and protect users from potential cyber threats.

Development of Smart Video Surveillance Systems: Technical and Security Challenges in Urban Environments

Video surveillance schemes have become a critical tool for safeguarding urban and industrial services, thanks to the rapid advancement in object recognition, tracking, and human activity analysis technologies. The achievement of these systems relies on background analysis, motion detection, and innovative solutions for real-time data processing and storage. These schemes have transitioned from analog setups to IP-based systems, offering more flexibility and remote control capabilities. However, they face important cybersecurity challenges, such as data breaches, bandwidth consumption, and high processing demands. This research explores the technological advancements in video surveillance systems, focusing on the security challenges and analytics in urban environments. Furthermore, it discourses strategies for optimizing system efficiency through modern compression algorithms and real-time human activity analysis.

Dehydration of Food Materials using Solar Dryer with Mobile App Integration

This study explores the development and integration of a solar dryer system using microcontrollers-NodeMCU and Arduino UNO with a mobile application to enhance the efficiency and user experience of food drying processes. The solar dryer utilizes renewable energy from the sun to dehydrate fruits, vegetables, and other perishable items, contributing to reduced energy consumption and environmental impact. The integration with a mobile app aims to provide users with remote control and monitoring capabilities, making the drying process more convenient and user-friendly. The mobile application allows users to select the specific product to dry and monitor drying parameters such as temperature and humidity levels, providing a customizable and automated experience. The integration of a solar dryer with a mobile app not only enhances the sustainability of food preservation but also promotes efficient resource management. By leveraging the power of renewable energy and smart technology, this system aims to contribute to the global shift towards eco-friendly and technologically advanced solutions for agriculture and food processing. The proposed solar dryer represents a step forward in creating a more sustainable and user-centric approach to food preservation, aligning with the growing demand for innovative solutions in the realm of renewable energy and smart agriculture.