Optimal light power consumption using LDR sensor

Salim, G.M.; Ismail, Hashimah; Debnath, Niranjan; Nadya, A.

doi:10.1109/iris.2015.7451601

Cited by 27 publications

(7 citation statements)

References 2 publications

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“…OPCloud caters to expressing units of measurements involved in the computations and performs certain validity checks on them. OPCloud's computational process construct also enables bidirectional connections to external software products or modules, such as MATLAB, for performing complex calculations [35], [36], and hardware products or modules, such as Arduino , IoT sensors, and MQTT communication protocols [37]- [40]. The result of applying MAXIM to an OPM conceptual model is an integrated hardware-software system model, which constitutes a complete and accurate executable specification of the system, starting from its top-level, abstract view, all the way to the most detailed physical and computational operations.…”

Section: B Maxim -Methodical Approach To Executable Integrative Modelingmentioning

confidence: 99%

Securing the Internet of Things with Object-Process Methodology Stereotypes

Kohen¹,

Dori²

2022

Preprint

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<p>The Internet of Things (IoT) is creating a network of cyber-physical devices – sensors, actuators, and other devices, which monitor and control physical systems, such as manufacturing facilities operating with the Industry 4.0 paradigm, while collecting and sharing massive data globally over the internet. As the IoT security landscape evolves, so does the “cyber mafia,” which targets cyber-physical systems from the corporate level all the way to Industry 4.0 floor-shop control systems, in which IoT is a key component. IoT devices are becoming ubiquitous and controllable from hand-held devices, raising the potential to disrupt or destroy large industrial complexes in a touch of a screen if not protected properly. This growing risk mandates the adoption of new approaches to incorporating rigorous security standards into IoT systems as early as possible in their system lifecycle. A methodology is presented for incorporating into IoT systems security as a bona fide, quantifiable attribute that is built into the components (objects) and operations (processes). To this end, the synergy of combining model-based systems engineering with embedded IoT system security is leveraged. At the heart of the methodology is a combined qualitative-quantitative IoT OPM model of the system with security scores, which provides for evaluating underlying system configurations, each with its level of security and possibly other optimization criteria. This approach enables balancing IoT systems’ metrics, such as performance and cost, with security, and even optimizing the system under specified constraints.</p>

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Section: B Maxim -Methodical Approach To Executable Integrative Modelingmentioning

confidence: 99%

Securing the Internet of Things with Object-Process Methodology Stereotypes

Kohen¹,

Dori²

2022

Preprint

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“…Adoption of smart agriculture practices can make agriculture more profitable for farmers over traditional agriculture practices by optimizing most human efforts and input resources. Further, crop cultivation can be optimized using optimum, site-specific weather predictions (Bates et al, 2021;Forceń-Muñoz et al, 2021;Ahmed et al, 2022), yield estimates (Bates et al, 2021;Ahmed et al, 2022), and likelihood maps for illnesses and catastrophes based on meteorological and climate data (Badamasi, 2014;Arduino, 2015;Salim et al, 2015;Suryawinata et al, 2017;Kashyap et al, 2018). Site-specific smart information offers new insurance and economic possibilities for the whole value chain of agriculture, offering numerous benefits for farmers (Eller and Denoth, 1996;Cucus and Febrianti, 2017;Sunday et al, 2020;Saha et al, 2021).…”

Section: Smart Agriculture Cyclementioning

confidence: 99%

Towards making the fields talks: A real-time cloud enabled IoT crop management platform for smart agriculture

Thilakarathne

Bakar²,

Abas³

et al. 2023

Front. Plant Sci.

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Agriculture is the primary and oldest industry in the world and has been transformed over the centuries from the prehistoric era to the technology-driven 21st century, where people are always solving complex problems with the aid of technology. With the power of Information and Communication Technologies (ICTs), the world has become a global village, where every digital object that prevails in the world is connected to each other with the Internet of Things (IoT). The fast proliferation of IoT-based technology has revolutionized practically every sector, including agriculture, shifting the industry from statistical to quantitative techniques. Such profound transformations are reshaping traditional agricultural practices and generating new possibilities in the face of various challenges. With the opportunities created, farmers are now able to monitor the condition of crops in real time. With the automated IoT solutions, farmers can automate tasks in the farmland, as these solutions are capable of making precise decisions based on underlying challenges and executing actions to overcome such difficulties, alerting farmers in real-time, eventually leading to increased productivity and higher harvest. In this context, we present a cloud-enabled low-cost sensorized IoT platform for real-time monitoring and automating tasks dealing with a tomato plantation in an indoor environment, highlighting the necessity of smart agriculture. We anticipate that the findings of this study will serve as vital guides in developing and promoting smart agriculture solutions aimed at improving productivity and quality while also enabling the transition to a sustainable environment.

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“…LDRs are light-sensitive devices that are frequently employed to detect the presence or absence of light or to measure the intensity of light. According to previous research, by utilizing LDR sensors, which require very little power and voltage for operation, a system may save an average of 71.39% power consumption while having a low cost, a simple structure, and easy employment [21]. Te LDR has numerous advantages: it is inexpensive, simple to install, and has a high light-to-dark resistance ratio.…”

Section: Why Ldr Sensors?mentioning

confidence: 99%

SECHA: A Smart Energy-Efficient and Cost-Effective Home Automation System for Developing Countries

Mustofa

Dagnew

Gantela

et al. 2023

Journal of Computer Networks and Communications

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Home automation systems are gaining a lot of attraction globally and changing the way we live. They simplify our lives, reduce workloads, improve home safety and security, and pave the way for newer developments. It is no wonder why these systems are in such high demand and why modernization is needed to keep up with consumer needs. Nevertheless, utilizing home automation system technology can be energy-intensive and costly—especially for middle-class families in developing countries. In this article, we discuss SECHA, a smart, energy-efficient, and cost-effective home automation system. It empowers users to automate their homes with IoT regardless of the residence type. SECHA is developed with the goal of being energy-efficient, simple to use, and open-source for everyone’s benefit. SECHA has developed a low-cost smart home automation system that incorporates Wi-Fi and GSM technology, enabling remote monitoring and control of appliances through an Android application. This solution enables users to easily monitor and manage their homes. An automation system has been developed using an ESP32 microcontroller equipped with Wi-Fi and GSM SIM800. This impressive setup is further enhanced by the integration of several sensors that enable monitoring of temperature, humidity, movement, and other aspects at home.

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Optimal light power consumption using LDR sensor

Cited by 27 publications

References 2 publications

Securing the Internet of Things with Object-Process Methodology Stereotypes

Securing the Internet of Things with Object-Process Methodology Stereotypes

Towards making the fields talks: A real-time cloud enabled IoT crop management platform for smart agriculture

SECHA: A Smart Energy-Efficient and Cost-Effective Home Automation System for Developing Countries

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