Internet Of Things Innovation Research Articles

IOT Garbage Monitoring System with Weight Sensing

This paper presents a novel approach towards efficient waste management utilizing Internet of Things (IoT) technology. The proposed system integrates garbage monitoring and weight sensing capabilities to create a smart waste management solution. Traditional waste collection methods are often inefficient and lack real-time monitoring, leading to overflows, environmental hazards, and unnecessary resource allocation. By employing IoT sensors embedded within garbage bins, real-time data on fill-level and weight can be collected and transmitted to a central server. AI calculations are applied to break down the information and predict future fill levels, optimizing waste collection schedules and routes. The system also includes a command-line interface available through web or mobile applications, enabling users to request timely pickups or report issues. Furthermore, the weight sensing functionality provides insights into the type and volume of waste being generated, facilitating better waste categorization and recycling initiatives. Field tests conducted in urban environments demonstrate the adequacy of the proposed system, reducing operational costs, minimizing environmental impact, and enhancing overall waste management efficiency. The coordination of IoT innovation with garbage monitoring and weight sensing represents a significant advancement towards sustainable and smarter cities

IoT Innovations as a Strategy for Minimizing Construction Expenses

The revolutionary impact of Internet of Things (IoT) improvements on the construction enterprise is carefully tested on this extensive research, with a focus on cost-cutting strategies. Examining a wide range of IoT programs from the predictive repair of equipment to the actual-time monitoring of building materials the study highlights how those packages can appreciably lessen operating charges. This inquiry identifies key areas wherein IoT technology are expected to sell cost-saving measures by utilizing a thorough evaluation of relevant literature along with a robust method that includes case research and empirical records evaluation. Using 12 records points and a aggregate of documentation evaluation and interviews, this examine assesses the impact of IoT technology on constructing charges. It offers insights into how IoT adoption in creation might be financially viable with the aid of highlighting the way it influences fee dynamics and undertaking control. The observe concludes with the aid of dropping mild at the broader implications of IoT adoption inside the construction enterprise and emphasizing how important it is to promoting a sustainable environment and strengthening the competitive fringe of companies on this zone. The present investigation not only emphasizes the economic blessings of implementing IoT, but additionally indicates its capability to convert conventional building methods by way of facilitating the improvement of greater reasonably priced, efficient, and environmentally friendly venture execution strategies.

Sustainable manufacturing through empowering machine tools with IoT innovations: a literature review

In the 21st century, sustainability takes the front seat as one of the main objectives while designing and developing new technologies. Machine tools have significant contributions in fuelling all four industrial revolutions. One of the major stepping stones to the fifth Industrial Revolution is making these machine tools sustainable. In this paper, we review the major developments driven by the integration of internet of things (IoT) in the field of machine tools which contribute to achieving a sustainable future. This integration of IoT in machine tools is also significant in contributing to different sustainable development goals of the United Nations. Through this work, we aim to reach a better understanding of current improvements in machine tool operations and ecosystem achieved through IoT innovations. The future research directions that are opening in this domain and their scope and limitations are also covered.

Exploring the Impact and Future of the Internet of Things: A Comprehensive Review

A revolutionary force altering many facets of our everyday lives, industries, and communities is the Internet of Things (IoT). This in-depth analysis seeks to assess the diverse effects of IoT technologies and provide predictions about their future developments. We examine the state of IoT applications already available in industries like manufacturing, smart cities, transportation, healthcare, and agriculture, emphasising the advantages, difficulties, and new developments. We also explore the technology developments, such as blockchain, edge computing, and artificial intelligence, that are propelling IoT innovation. We also go over important issues with security, privacy, interoperability, and ethical ramifications of the growing number of IoT devices. In conclusion, we offer perspectives on the future course of the Internet of Things, imagining a state in which human endeavours are harmoniously merged with interconnected ecosystems, promoting effectiveness, durability, and improved user experiences. This assessment adds to a better understanding of the Internet of Things' revolutionary potential and alerts stakeholders to the opportunities and difficulties associated with using this disruptive technology to enhance society.

SMART FARMING DECISION SUPPORT SYSTEM FOR PRECISION AGRICULTURE

The incorporation of IoT (Internet of Things) innovation within agricultural practices, often referred to as precision agriculture, has gained significant attention in recent years. This paper presents the development and implementation of a Smart Farming Decision Support System aimed at enhancing agricultural efficiency, productivity, designed to optimize water management and resource utilization in precision agriculture. The system utilizes various sensors, microcontrollers, and web technologies to monitor environmental conditions and automate irrigation processes in real-time. A detailed description of the system architecture along with its hardware components, software implementation, deployment strategy, experimental results, and potential impact on agricultural practices is provided.

Revolutionizing Tourism: Harnessing the Power of IoT in Smart Destinations

The convergence of technology and travel has given rise to the paradigm of smart destinations, fueled by the transformative force of the Internet of Things (IoT). This review paper delves into the revolutionary impact of IoT on tourism, specifically focusing on the concept of smart destinations. Smart Hotels, exemplifying this paradigm shift, redefine the guest experience through seamless technology integration. Smart room controls, driven by IoT, intuitively respond to guest preferences, transforming the traditional stay into a personalized and efficient encounter. Transportation undergoes a parallel transformation through connected transportation, where IoT innovations reshape global mobility. From smart airports to intelligent traffic management systems, the integration of IoT ensures seamless and efficient travel experiences for both passengers and goods. Wearable devices further enhance the tourism experience, with smart tour guides leading the way. Wearables provide real-time information and personalized recommendations, with smart glasses employing augmented reality (AR) to overlay digital information onto the physical world. This hands-free approach enriches tourist exploration of historical sites and museums. In popular tourist attractions, IoT-enabled experiences redefine engagement. From smart museums to AR tours and interactive exhibits, the integration of IoT technologies enhances how visitors interact with cultural landmarks, creating immersive and technologically enriched tourism experiences. This review explores the multifaceted intersections of IoT and tourism, offering insights into current trends and future prospects in this dynamic space.

Performance of matrix completion approaches for aquaponics data

Technological innovations in Internet of Things (IoT) have resulted in smart agricultural solutions such as a remotely monitored Aquaponics system and a wireless sensor network (WSN) of such systems (nodes). IoT enables continuous sensing of temperature and pH data at each node of the WSN, which is periodically transmitted to a remote fusion centre. In this regard, the data matrices acquired at the fusion centre often suffer from data vacancies and missing data problems, owing to typical wireless multipath fading environment, sensor malfunctions and node failures. This paper explores the applicability of different matrix completion approaches for missing data reconstruction. Specifically, the performance of baseline predictor, correlation based approaches such as baseline predictor with temporal model, k-nearest neighbors (kNN) and low rank based approaches such as Sparsity Regularized Singular Value Decomposition (SRSVD) and Augmented Lagrangian Sparsity Regularized Matrix Factorization (ALSRMF) have been explored. Reliable temperature and pH data for 19 independent acquisition hours with 60 samples per hour are acquired at the fusion centre via Ultra High Frequency (UHF) transmission at 470 MHz and suitable pre-processing. Simulating different data integrity scenarios, the reconstruction error plots from each of these matrix completion approaches is extracted. A hybrid of kNN and baseline predictor with temporal model rendered a Mean Absolute Percentage Error (MAPE) of 1.75% for temperature and 0.86% for pH, at 0.5 data integrity. Further, with ALSRMF, which exploits the low rank constraint, the error reduced to 1.25% for temperature and 0.7% for pH, thus substantiating a promising approach for Aquaponics system data reconstruction.

Diffusion of the Internet-of-Things (IoT): A framework based on smart retail technology

Internet-of-Things (IoT) innovations are reconfiguring our societies and day-to-day lives. How do these new technologies enter our communities, and when they do, how do they complement or disrupt existing activity? This paper provides a framework for addressing these questions, building on a case study of the automated pizza vending machine that is proliferating in France. Relying on an exclusive and newly constructed database, we examine the diffusion of smart pizza vending machines across over 30,000 French communities. Contrary to our expectations, we find that neither the large, dense, and most connected urban centers nor the rural areas with limited access to food options are the first adopters of these machines. Instead, small but well-connected communities, with attractive consumer bases but which lack 24/7 amenities, are at the vanguard of the adoption of this "frugal" IoT innovation -- i.e., one that requires little capital investment but potentially meets widespread demand. Furthermore, we find that independent business owners and small entrepreneurs are the early adopters of the new technology, but they act as forerunners for larger corporate actors. Based on these findings, our proposed framework highlights the decentralized and bottom-up processes that give rise to the rapid penetration of frugal IoT technologies and their associated socio-economic effects.

Service Quality and After-Sales Service on IoT-Based Car User Satisfaction and Repeat Purchases Services in Indonesia

This study aims to determine the effect of service quality and after-sales service on the customer satisfaction of car users using IoT (Internet of Things) technology provided with their car purchase. Digital disruption has made manufacturers turn to digital services and marketing systems to discover and understand customer behavior. Using the Isaac and Michael formula a sample size 155 respondents was determined, and data were accordingly collected for processing via non-probability sampling techniques. Data were obtained from respondents matching the unique criteria of Indonesian users of cars with IoT innovation technology. Such cars now account for 10% of total new car sales. This study utilizes path analysis, revealing that customer satisfaction encourages loyal customers to buy new units. The main finding of the research is that a service system connected to the internet or smartphones makes users comfortable and can determine the future choice for product repurchases. Therefore, it is necessary to develop continuous emotional closeness with customers for future success.

An intelligent context-aware threat detection and response model for smart cyber-physical systems

Smart cities, businesses, workplaces, and even residences have all been converged by the Internet of Things (IoT). The types and characteristics of these devices vary depending on the industry 4.0 and have rapidly increased recently, especially in smart homes. These gadgets can expose users to serious cyber dangers because of a variety of computing constraints and vulnerabilities in the security-by-design concept. The smart home network testbed setup presented in this study is used to evaluate and validate the protection of the smart cyber-physical system. The context-aware threat intelligence and response model identifies the states of the aligned smart devices to distinguish between real-world typical and attack scenarios. It then dynamically writes specific rules for protection against potential cyber threats. The context-aware model is trained on IoT Research and Innovation Lab - Smart Home System (IRIL-SHS) testbed dataset. The labeled dataset is utilized to create a random forest model, which is subsequently used to train and test the context-aware threat intelligence SHS model's effectiveness and performance. Finally, the model's logic is used to gain rules to be included in Suricata signatures and the firewall rulesets for the response system. Significant values of the measuring parameters were found in the results. The presented model can be used for the real-time security of smart home cyber-physical systems and develops a vision of security challenges for Industry 4.0.

Cyber Security & IoT Vulnerabilities Threats Intruders and Attacks Research Review

The Internet of Things (IoT) is a system of various systems of hardware and software that is mostly dependent on online services and a variety of cutting-edge communication and sensing innovations. The introduction of 5G networks will see an increase in the global expansion of IoT, however security problems related to IoT innovation will additionally necessitate comprehensive analyses. This study will provide a comprehensive overview of the security difficulties in an Iot infrastructure, as well as current incidents of IoT technology assaults, interoperability used in IoT systems. For the inaugural study, all of the key aspects of IoT security are analysed and defined collectively. This study would be a great asset for prospective studies focusing on the creation of more secure IoT transmission methods for dealing with security and privacy in IoT.

Fuzzy logic system for drug storage based on the internet of things: a survey

<span lang="EN-US">The rapid development of internet of things (IoT) technology over the course of recent history has made it possible to connect a large number of smart things and sensors, as well as to establish an environment in which data can be seamlessly exchanged between them. This has led to an increase in the demand for data analysis and storage platforms such as cloud computing and fog computing. One of the application areas for the internet of things that has garnered a lot of interest from the business world, academic institutions, and the government is healthcare. The IoT and fuzzy logic are being used in the medical business to improve patient safety, the overall quality of care, and the overall efficiency of medical operations. The most important healthcare studies that are pertinent to pharmacies have been used as the basis for this research. The purpose of this research is to investigate recent advancements in medical modules, remotes, and detector patterns, as well as current innovations in IoT and fuzzy logic-based health care, and current policies from around the world, with the intention of determining how well they support the long-term growth of IoT and fuzzy logic in healthcare.</span>

‘The plural of silo is not ecosystem’: Qualitative study on the role of innovation ecosystems in supporting ‘Internet of Things’ applications in health and care

Background Internet of Things (IoT) innovations such as wearables and sensors promise improved health outcomes and service efficiencies. Yet, most applications remain experimental with little routine use in health and care settings. We sought to examine the multiple interacting influences on IoT implementation, spread and scale-up, including the role of regional innovation ‘ecosystems’ and the impact of the COVID-19 context. Methods Qualitative study involving 20 participants with clinical, entrepreneurial and broader innovation experience in 18 in-depth interviews, focusing primarily on heart monitoring and assistive technology applications. Data analysis was informed by the NASSS (non-adoption, abandonment, scale-up, spread, sustainability) framework. Results Interviewees discussed multiple tensions and trade-offs, including lack of organisational capacity for routine IoT use, limited ability to receive and interpret data, complex procurement and governance processes, and risk of health disparities and inequalities without system support and funding. Although the pandemic highlighted opportunities for IoT use, it was unclear whether these would be sustained, with framings of innovation as ‘disruption’ coming at odds with immediate needs in healthcare settings. Even in an ‘ecosystem’ with strong presence of academic and research institutions, support was viewed as limited, with impressions of siloed working, conflicting agendas, fragmentation and lack of collaboration opportunities. Conclusions IoT development, implementation and roll-out require support from multiple ecosystem actors to be able to articulate a value proposition beyond experimental or small-scale applications. In contexts where clinical, academic and commercial worlds collide, sustained effort is needed to align needs, priorities and motives, and to strengthen potential for good value IoT innovation.

Weather Forecasting Method from Sensor Transmitted Data for Smart Cities Using IoT

India experiences severe weather events around the year. Severe thunderstorms occur during the premonsoon season (March-May), cyclonic storms occur over the Bay of Bengal/Arabian Sea during the premonsoon and postmonsoon seasons (October-December), and heavy rainfall occurs during the monsoon season (June-September). It causes a lot of damage to property and the lives of humans. Smart urban areas aim to improve residents’ personal satisfaction by utilizing data about urban scale procedures separated from heterogeneous information sources gathered on city-wide arrangements using sensors. The Internet of Things (IoT) is an empowering concept for forecasting weather situations on an urban scale. A multisource detecting framework influences IoT innovation to accomplish city-scale detection of climatic changes and forecasts them to citizens in a smart city. The existing models gather the data in an unstructured process that need to be structured. This is a complex task that needs to be reduced. The proposed model gathers data from various regions in a city and uses it to identify the weather regions. A novel approach is introduced to detect this climate information gathered by utilizing various sensors arranged in a city. The information gathered from the sensors is thoroughly examined to see if there is any inconsistency in weather reports in any of its key hubs, and cautions are activated to the city for prompt actions. In this proposed work, an efficient method for weather casting using an IoT mechanism is introduced, and the results state that the proposed method is effective in terms of accuracy and speed when contrasted with the traditional methodologies.

Revolutionizing Supply Chain Management: The Impact of IoT on Efficiency and Transparency

The digital age has brought us numerous advancements in technology, and the Internet of Things (IoT) is one of the most transformative. IoT, a network of interconnected devices and sensors that collect and exchange data, has the potential to significantly improve supply chain management (SCM). This article will explore some great IoT innovations and examine how they enhance SCM operations in terms of efficiency, visibility, and transparency.

Brain image identification and classification on Internet of Medical Things in healthcare system using support value based deep neural network

The Internet of Medical Things (IoMT) combines the Internet of Things (IoT) with medical equipment to provide better patient comfort, cost-effective medical solutions, faster hospital treatments, and even more individualized healthcare. Brain tumors are caused by a mass of random cells in the brain, harming the brain and posing a risk. Brain image recognition is a difficult task these days. This paper explains the application of a support value based deep neural network (SDNN) in e-Health care as use of the Internet of Medical Things (IoMT) innovation for the early detection and accurate classification of cancerous cells in brain pictures. Initially, as an exploration database, photos based on IoT innovation and clinical images are collected. The input brain picture is stripped of its skull for brain area extraction during the preprocessing stage. The effective features such as entropy, geometric, and texture features are retrieved from the preprocessed output images. Finally, the suggested support value based adaptive deep neural network (SDNN) recognition distinguishes between normal and abnormal brain images into normal or abnormal images dependent on the extracted features. Experimental results show that our proposed SDNN approach accomplishes an accuracy as high as 94.30%. In the meantime, the other existing methods, CNN+ReLU is 91.02%, CNN+PReLU, CNN+BN+ReLU, CNN+BN+PReLU achieve had the worst accuracy of 82.05, 85.55, and 83.6% independently. Compared with other existing works, our proposed methodology achieves higher outcomes.

IoT-Based Smart Parking System

A smart city permits the viable usage of assets and better administration of assets for the residents. Consistent advances are being seen in the field of the Internet of Things (IoT) to intensify the convenience and nature of the foundation. With the advancement of the foundation in metropolitan areas, the number of vehicles has also increased significantly in recent years, causing issues with traffic congestion and street security. IoT has helped solve different issues every day concerning street security, parking spaces, and traffic congestion. Parking spaces can be difficult to detect, particularly during the pinnacle hours in significant metropolitan urban communities, which can be extremely disorganized. In this project, we plan to introduce an altered plan of an Internet of Things (IoT) empowered smart parking system to tackle the parking issue in the city. The system includes an on-location organization of the various sensors, which are utilized to recognize the accessibility of the parking spaces and send data to the server about the equivalent. A real-time web link will be given that permits an end client to take a look at the accessibility of a parking space and book it for a given time frame. A parking executive system can be planned and sent to all smart and future urban communities with the help of sensor systems and IoT innovation. This will save the client's time and diminish the congestion undeniably.

An IoT based Smart Energy Meter Monitoring System using Android Application

The headway of the Internet of Things has been arising step by step. The Internet of Things (IoT) spins association that implanted with gadgets, programming, sensors, actuators that help clients in observing and controlling gadgets from a distance and proficiently. In the IoT based framework article and living being are given extraordinary identifiers with the capacity to move information. The area of IoT has intensified from the intermingling of remote advances, microelectromechanical frameworks and the Internet. These days IoT innovation is being applied in numerous areas like power, gas, water and so forth to make our life computerized. These days because of the inordinate utilization of the web, these regions become modernized and online installment framework makes conceivable. However, getting to meter perusing is a manual interaction and has the chance of blunder which causes high income cost .This innovation works with the evaluation of energy utilization and investigation of information for charging and installment. This innovation expects to bring the gadget on the web and associating gadget with the web which is in other term Internet of Things. This innovation utilizing remote correspondence is less expensive than wired medium. Thus, WiFi is more reasonable for the proposed framework as it is extremely considered normal in each home.

Monitoring Kinerja Mesin Tetas Otomatis Berbasis Internet Of Things

This study aims to destroy an automatic egg incubator, where the performance parameters to be monitored are the temperature and humidity of the incubator. The monitoring system uses the Internet of Things (IoT) application. The egg incubator utilizes the lamp's heat to maintain the room temperature's stability. Utilizing the DHT11 sensor, the temperature data will be processed on the Wemos d1 microcontroller, which is then sent to the internet wirelessly. The temperature and humidity data results will be read in real-time using IoT with the Blynk platform, which can also be accessed using a smartphone. The results of this study apply IoT technology to the monitoring system for measuring conditions of the incubator temperature and humidity parameter values. All device modules will be packaged into embedded systems integrated with environmentally friendly IoT innovation rules and support the technological era of the industrial revolution 4.0. The results of measurements at the incubator's location and the monitoring using the Blynk application are relatively the same, and the success rate of hatching eggs reaches 74% of the total eggs put into the incubator

Future IoT Software in Healthcare Also Exploring IoT Industry Application

There has been a great deal of investigation into medical services ability and specialized advancements during the most recent 10 years. To state the obvious, Internet of Things (IoT) has demonstrated insure associating different clinical hardware, sensors, and medical services experts to give top-notch clinical consideration at a distant area. This has upgraded patient security, diminished medical care costs, expanded admittance to medical services benefits, and expanded functional adequacy in the medical care industry. Emerging technologies such as IoT have the potential to transform our lives in many ways. A smart ubiquitous framework can only be built using smart objects in the IoT system, which is its ultimate building pieces. This research surrenders an audit of potential IoT-based innovation applications in medical services conducted to date. This paper records the development of the use of the Healthcare Internet of Things (HIoT) in tending to different medical care worries according to the viewpoints of empowering innovation, medical care administrations, and applications. Besides, potential HIoT framework issues and issues are explored. The current research closes by giving a wellspring of comprehension on the various uses of HIoT with expectations of empowering future scholastics that are quick to chip away at and kick off something new in the field to have a superior handle of the subject. IoT innovation has helped medical care experts in checking and diagnosing an assortment of well-being concerns, estimating an assortment of well-being factors, and giving demonstrative capacities at far-off areas using these standards. The structure and implementation of a specific framework are the subject of this paper. This has moved the medical services industry’s concentrate away from clinics and toward patients.