Real-time Data Collection Research Articles

Malaria diagnostics: from traditional techniques to cutting-edge solutions

Recent advancements in malaria diagnostics have revolutionized the detection and management of this deadly disease. From traditional microscopy to rapid diagnostic tests and currently, to cutting-edge molecular techniques, such as isothermal amplification and different types of polymerase chain reactions, significant progress has been witnessed in enhancing the sensitivity, specificity, and accessibility of diagnostic tools. These innovations have enabled rapid and more accurate detection of malarial parasites, especially in regions with limited healthcare infrastructure. Furthermore, integrating information technology- and artificial intelligence-based applications with point of care devices has facilitated realtime data collection and decision-making, ultimately aiding global efforts toward malaria elimination. Although conventional techniques are still employed at field sites, challenges such as high sensitivity, species specificity, cost-effectiveness, scalability, and the emergence of drug-resistant strains persist. These challenges underscore the need for continuous research and development of novel malaria diagnostics.

METHOD OF MONITORING TRAFFIC FLOWS USING THE BRIEFCAM SYSTEM

Urban logistics forms the backbone of modern cities, ensuring the efficient movement of goods and services. With growing urbanisation and traffic congestion, optimising traffic flows has become crucial. The study monitors traffic flows using BriefCam software to enhance sustainable urban logistics. Cost-effective surveillance systems like CCTV generate vast data, opening new opportunities for improving traffic flow monitoring. Traditional methods, while reliable, are limited by labour intensity, cost, and accuracy. BriefCam software optimises vehicle monitoring through structured methodologies, including collection of data, filter application, result validation, and data generation. Utilising this data provides insights to improve traffic management, urban transport speed, and sustainable logistics practices. Modern cities use affordable CCTV systems, operating 24/7 and accumulating vast data suitable for automated traffic monitoring. Traditional methods require significant labour and costs, whereas floating car data (FCD) offers real-time traffic data collection, despite some reliability issues. BriefCam provides an innovative approach with a structured methodology for monitoring vehicles, aiding in sustainable urban logistics by optimising traffic flows and improving urban transport speed. The article provides a detailed look at the methods used in the study, the process of using BriefCam to monitor vehicles, the filters applied for detailed analysis, techniques for verifying the results, and general conclusions drawn from the study. Efficient traffic management based on this analysis can lead to additional measures during peak hours, optimising traffic lights, and increasing lanes. Knowing the time frames when freight vehicle numbers rise helps businesses plan deliveries to avoid peak congestion, enhancing logistics efficiency. BriefCam software offers immediate insights for reducing congestion, enhancing safety, and improving urban quality of life. Integrating digital approaches with traditional methods provides a comprehensive view of traffic dynamics, which aids urban planners and policymakers in optimising strategies, reducing emissions, and creating better living conditions in cities. Keywords: traffic monitoring, urban traffic management, intelligent transport systems, freight traffic flow.

INTELLIGENT INFORMATION TECHNOLOGIES FOR PROACTIVE ENTERPRISE MANAGEMENT

Industrial enterprises are essential to a country’s economy, providing diverse, high-quality goods, technologies, and services. To remain sustainable and efficient amidst rising production demands and stiff competition, these enterprises must adopt innovative management techniques. Each enterprise has a mission, resources, technologies, and strategies to achieve its varied goals, with dominant economic goals like income, profitability, and market share interlinked and affecting one another. A competitive enterprise’s overall goal should align its growth with market trends while proactively managing its operations. Proactive management involves either passively aligning with market trends or actively influencing them by introducing new products and services. The mismatch between an enterprise’s growth and market trends can flag potential problems or crises, underscoring proactive management’s role in preempting issues. This strategy, though simple, is vital for an enterprise’s survival, sustainable operation, and efficient growth in a fiercely competitive environment with escalating production of quality goods and services. Therefore, an urgent issue is developing an information platform based on appropriate mathematical models and methods that facilitate the implementation of proactive management of industrial enterprises and create the basis for predicting possible problems in production and taking measures to prevent them. Integrating advanced technologies like Artificial Intelligence, Big Data Analytics, and the Internet of Things enhances the proactive management system’s capability. These technologies enable real-time data collection and analysis, providing enterprises with critical insights and allowing them to anticipate market shifts and operational challenges. By leveraging these tools, enterprises can make more informed decisions, streamline their processes, and achieve higher operational resilience and flexibility. Industry 4.0 and 5.0 can significantly support Ukrainian manufacturing during the war. Thanks to automation and robotics, it is possible to maintain production even in the face of limited access to labour or hazardous working conditions. Artificial intelligence and advanced analytical systems can help optimise logistics, inventory management, and production processes despite disruptions caused by military actions. In conclusion, proactive management is not just a strategic choice but a need for industrial enterprises aiming to thrive in today’s fast-paced and highly competitive market. By incorporating cutting-edge technologies and adopting a forward-thinking approach, enterprises can ensure long-term sustainability, improved performance, and a better competitive edge. Keywords: proactive management, information modelling, industrial enterprise, artificial intelligence, Industry 4.0 / 5.0.

Digitalization as a tool for Redevelopment – The Finiq case

Finiq, a rural town in the south of Albania, is experiencing a major demographic crisis. The lack of economic opportunities and difficult access to services discourage people from settling there. The various problems that characterise Finiq are mainly is isolation as it's difficult to reach it; the lack of identity due to depopulation and the lack of economic activities; the poor development and preservation of historical heritage as well as the deterioration of the landscape due to climate change and unsustainable human activities. Intervention in the landscape and cultural heritage can play a crucial role in mitigating these problems. Creating connecting paths, parks, rest areas, restoring historical buildings and monuments, together with the development of cultural programmes, could on the one hand provide Finiq residents with a sense of Identity and belonging to the area thus contributing to the promotion and preservation of the cultural heritage; on the other hand, stimulate tourism and investments which would be beneficial to the local economy. Digitalisation, in particular the use of block- chain technology, Building Information Modeling (BIM) and the Internet of Things (loT) could further mitigate these issues. Blockchain can be used for the provision of a secure and trans- parent register of historical and cultural heritage, thus facilitating access to information and knowledge about this heritage by citizens and tourists. At the same time, BIM can digitally represent the various areas of the city for easier and more timely planning of interventions in the landscape, built environment and cultural heritage. Creating a Digital Twin of the city of Finiq allows the different stakeholders to collaborate and exchange detailed and up-to-date information on the city's infrastructure and heritage, thus ensuring the quality of interventions and better management of the heritage itself. loT, through sensor technology, would enable the collection of real-time data on the state of preservation of cultural heritage and the use of resources. The data collected and exchanged with and certi- fied by a blockchain platform would increase transparency and citizen participation in cultural heritage management. Furthermore, loT can provide information on weather conditions and the impact of human activities on cultural heritage, serving as a useful tool for informed, data- driven decisions towards heritage conservation and enhancement. In summary, digitisation, in particular the proposed technologies, could prevent the deterioration of cultural heritage, pro- mote its knowledge and optimise the management of resources while promoting sustainable development. The creation of digital management systems for heritage and tourism activities is envisaged. However, the use of such technologies presents some barriers including the lack of adequate technological infrastructure and the need to train people involved in the use of such tools. The redevelopment of Finiq requires a balance between using the technology and understanding its limitations while analysing the needs and concerns of the community.

AI-Enabled Traffic Light Control System: An Efficient Model to Manage the Traffic at Intersections using Computer Vision

Traffic congestion is a significant issue with studies indicating it costs cities billions annually and averages 54 hours of wasted time per traveler each year. This situation necessitates the implementation of efficient traffic management systems, especially at intersections. In response to this challenge, our work introduces an artificial intelligence-based system designed to analyze and predict traffic flow using machine learning algorithms and deep learning methods in conjunction with traffic cameras. The model comprises two main components: real-time data collection and predictive modeling. It employs object detection to identify and classify vehicles and adjusts traffic signal timings based on the necessary passage time and predetermined constraints. Additionally, data accumulated during operation facilitates the development of a predictive model for traffic flow over time, allowing for proactive traffic management. Evaluations are done to showcase the accuracy of the model and corresponding simulation and physical implementation further approved the applicability of our approach. Finally, this work aims to enhance urban transportation efficiently, reduce commuting stress, and improve the quality of life for city residents

Comments: Celebrating a Legacy: 100 Years of Innovation and 75 Years of JPT at the 2024 ATCE

_ Are you ready to join us for SPE’s Annual Technical Conference and Exhibition (ATCE) in New Orleans, 23–25 September? As SPE celebrates a century of innovation at the 2024 ATCE, we also mark the 75th anniversary of the Journal of Petroleum Technology (JPT). These twin milestones stand as a testament to the achievements that have driven our field forward—innovation, pushing boundaries, setting new standards, and fueling the energy that powers the world. Through the highs of technological breakthroughs and the lows of economic challenges, the oil and gas industry—and ATCE and JPT—have continually evolved, proving their resilience and adaptability. When considering the innovations in our industry, key advancements that often stand out include hydraulic fracturing, horizontal drilling, deepwater exploration, enhanced oil recovery, digitalization and automation, LNG technology, FPSOs, subsea systems, and decarbonization and emissions mitigation. However, the incremental steps that collectively contributed to the broadly defined “wow” factors above are equally notable. To mention only a sampling: enhanced drill-bit designs, advancements in onshore and offshore drilling rigs, real-time data collection, development of 4D seismic technology, integration of multiple data types (e.g., seismic, well logs, production data) for more-comprehensive reservoir characterization, materials-science advancements (polymers, nanocoatings), development of blowout preventers, improved leak-detection systems, and advancements in produced-water treatment and recycling technologies. Less often recognized are the failures that were essential prerequisites for eventual success. The "fail fast, fail often" approach allowed for rapid feedback and necessary adjustments, though it also contributed to the downfall of some startups over the years. As individuals, embracing failure and viewing it as a stepping stone to success is not always our natural response. Presentations at industry events on "lessons learned" vary in transparency, often influenced by differing definitions of failure, stakeholder sensitivities, and legal considerations. As a result, many of the hard knocks that paved the way for the industry's "wow" factors remain largely unknown. ATCE’s theme, “Powering the Future of Energy with a Century of Innovation,” honors the legacy of past breakthroughs while celebrating their ongoing role in shaping a resilient and sustainable future. Olivier Houzé will be named 2025 SPE President with the official passing of the baton from 2024 President Terry Palisch at ATCE. In this issue of JPT, Houzé shares his insights on the challenges facing our Society and its members in his inaugural vodcast and column, “A Roadmap for a Very Busy Year.” Visit the SPE Pavilion (Booth 1449) in the exhibition hall for a variety of SPE Pavilion Talks, including the JPT editors on Tuesday, 24 September, at 1:30 p.m. We’ll highlight the milestones of JPT’s coverage over 75 years and their significance for the future. Visit JPT to learn more about our commemorative features written to date about topics ranging from the Kurdistan Region of Iraq, Azerbaijan, the HSE journey, data science, artificial lift, and a closer look at the past 25 years of innovations in fracturing, drilling, and reservoir engineering. New This Year at ATCE - Strategic Panels will offer a platform for panelists to discuss the current and future challenges and opportunities facing the energy industry. - As an SPE member, you get a complimentary pass to the exhibition hall. If you are not a member yet, you can join now. This pass does not include access to the technical program or conference proceedings. Learn more about the free access pass here. - Non-members registered at the full conference rate will receive a post-show email with a complimentary 1-year SPE membership offer. This offer is valid for new members only, and individuals must meet membership qualifications to join. Whether you’re a seasoned professional or new to the field, ATCE offers an opportunity to connect, learn, and share. Here's to a century of ingenuity and three-quarters of a century of chronicling the journey!

Drug Delivery and Monitoring through Wearable Devices with Microneedles in the Field of the Health Care System

: Microneedles represent a revolutionary advancement in drug delivery and diagnostics, offering a minimally invasive approach to accessing the intricate biological environment of the human body. These micron-sized needles, typically ranging from 25 to 1000 micrometers in length, penetrate the outermost layer of the skin, creating microchannels that facilitate the transdermal administration of therapeutics or the extraction of interstitial fluid for analysis. This innovative technology holds great promise for enhancing patient compliance, reducing side effects, and improving the overall efficiency of drug delivery. Integrating microneedles with wearable devices further amplifies their potential impact. Wearable devices provide a seamless interface for monitoring and controlling microneedle-based systems, fostering real-time data collection and personalized healthcare. Such devices can be designed to administer precise drug doses at predetermined intervals, adapting treatment regimens to individual patient needs. : Additionally, the combination of microneedles and wearable devices enables continuous monitoring of biomarkers through the extraction of interstitial fluid, offering a non-invasive method for disease diagnosis and management. The review also provides a detailed overview of the mechanisms, types, fabrication techniques, applications, and patents for integrating microneedles with wearable devices. This symbiotic relationship between microneedles and wearables opens new paths for patient-centric healthcare, with the potential to transform chronic disease management and streamline therapeutic interventions. As these technologies continue to evolve, their integration may pave the way for personalized, on-demand healthcare solutions, accompanying a new era of patient well-being and treatment efficacy.

A wearable electrochemical sensor for the monitoring of neonicotinoid insecticides, salicylic acid and the pH in plant guttation

Wearable plant sensors can continuously monitor the material absorption and health status of a plant, thereby providing data that can be used to provide precise crop management. Herein, we describe a noninvasive wearable electrochemical sensor designed for monitoring plant guttation that is capable of detecting trace levels of neonicotinoid insecticides, salicylic acid, and pH. The sensor electrodes are prepared using an improved laser-induced graphene (LIG) printing method, with which a single set (six sensors) can be fabricated in only 15.6 s. Leveraging the high surface area and conductivity of LIG, trace-level electrochemical testing for neonicotinoid insecticides, salicylic acid, and pH can be achieved without the need for electrode surface modification. When the sensors are combined with a guttation collection module, the repeated collection of the guttation fluid becomes possible. The sensor weighs only 0.1 g and can be connected to a portable electrochemical workstation and smartphone for real-time on-site data collection. The practical value of the sensor was validated by monitoring the guttation fluid produced by rice, placed under stress through the application of neonicotinoid insecticide, and real-time pH calibration. This noninvasive wearable sensor for monitoring plant guttation enables the real-time detection of target substances, avoids plant stress caused by sensor intrusion, and provides a new direction for the future development of wearable plant sensors.

Advances in Intelligent Sports Based on Triboelectric Nanogenerators

In the realm of intelligent sports, the integration of triboelectric nanogenerators (TENGs) marks a transformative approach toward energy sustainability and more advanced athletic monitoring. By leveraging the principle of triboelectricity, TENGs ingeniously convert mechanical energy from athletes’ movements into electrical energy, which offers a green and efficient power solution for wearable technology. This paper presents an innovative study on the application of TENG technology in sports science, with the results illustrating the potential utility of TENGs in revolutionizing the way we monitor, analyze, and enhance athletic performance. Through the development of self-powered wearables and equipment, TENGs facilitate real-time data collection on physiological and biomechanical parameters, ultimately enabling personalized training adjustments and injury prevention strategies. Our findings underscore the dual benefit of TENGs in promoting environmental sustainability by reducing the overall reliance on traditional energy sources and growing the capabilities of intelligent sports systems. This research contributes to the burgeoning field of nano-energy sports applications while setting the stage for future explorations into the optimization of TENG integration in athletic performance enhancement. Finally, the paper concludes by discussing remaining challenges in this area and opportunities for further research.

Development of an IoT-Based Air Conditioning Meter for Real-Time Operational Status

Air conditioning systems have become a staple in households and businesses, particularly in regions with tropical climates, where maintaining indoor comfort is crucial. However, the widespread use of air conditioning units has led to a significant increase in energy consumption, contributing to higher electricity bills and environmental concerns, particularly in terms of carbon emissions. Traditional air conditioning units often operate without real-time monitoring, leading to inefficiencies and unnecessary energy use. In response to these challenges, there has been a growing interest in the development of smart, energy-efficient solutions that can monitor and control air conditioning systems remotely. The advent of the Internet of Things (IoT) has opened up new possibilities for integrating sensors and microcontrollers with cloud-based platforms, enabling real-time data collection and analysis. This research builds on these advancements by developing an IoT-based meter designed to monitor the operational status of air conditioning units, providing users with immediate feedback and enabling more efficient energy management.

Developing a digital data platform for surveillance of food and water-borne pathogens in North East India: insight for public health advocacy.

Robust digital infrastructure is vital and the need of the hour, especially in the healthcare sector, for real-time data generation, analysis, and quick decision-making. Food- and water-borne illnesses represent a prominent cause of morbidity and mortality worldwide. India, a developing nation with diverse cultures and food practices, poses a high risk of food-borne diseases and outbreaks, yet is often underreported and ineffectively researched. Also, the unique socio-economic and environmental factors of the Northeast (NE) region contribute to the high burden of food-borne diseases. To address these trepidations, the Indian Council of Medical Research (ICMR) has undertaken a study for the surveillance of food-borne pathogens in NE India. The present study focuses on the development of a digital database system for the systematic surveillance of foodborne disease outbreaks, aiming to address the gaps in traditional surveillance methods and improve disease detection and response capabilities. The digital system integrates mobile applications, web-based platforms, and advanced analytics tools to enable real-time data collection, dissemination, and analysis of food-borne illness data. Additionally, the secure and scalable nature of the system enhances data accuracy and accessibility, making it a valuable tool for enhancing food-borne disease surveillance efforts in resource-constrained settings.

Advancements in Soft Robotic Implants for Long-Term Drug Delivery and Tissue Monitoring

Soft robotic implants are a major upgrade in medical devices providing novel means for long-term drug administration and tissue tracking. The eco-friendly biodegradable body-prosthetic will not only be compatible with the human body, but can also mingle completely without inducing foreign-body responses and discomfort. Since these implants provide programmed and localized drug delivery; hence the significance of these sutures could be found in administering the drugs at a specific site and specific interval so as to diminish the side effects and improved therapeutic outcomes. Modern developments of soft robotics implants have improved their design, performance, interaction with biological and other natural materials. Material developments are becoming smarter, where responsive materials in the form of: smart materials, which can react to environmental stimuli and adjust drug delivery rates immediately (and); etc. Moreover, the evolution of microfabrication and nanotechnology also created high precision and less invasive devices, rendering more efficient and well-accepted to patients. These implants are especially valuable for long-term afflictions like diabetes and cancer as they streamline the ongoing, precise delivery of medications. They also have a crucial role in pain management and postoperative care, effectively providing prolonged release of analgesics, and ultimately enhance patient comfort thus contributing to smoother recovery. For tissue monitoring, implantable flexible soft robotic devices with integrated sensors and actuators are able to provide real-time data collection and analysis for the continuous monitoring of vital physiological information, such as cardiovascular health, neural activity, skin conditions (wound healing) etc. This is important, particularly for early detection of complications and receiving timely interventions to optimize patient outcomes. In the future there are a number of intriguing applications that could be developed with these soft robotic implants like personalized medicine and integration with other state-of-the-art medical technologies. Further research and development should/hopefully will address outstanding challenges e.g. technical, regulatory etc to allow more wide-ranging clinical application with consequent transformative impacts on healthcare. Finally, soft robotic implants show great potential to improve drug delivery and tissue monitoring, with continuous development bringing the field closer to better performing medical solutions.

Discovering vaccines: the trial tale.

This paper reviews the importance of vaccine trials to public health. Vaccines are developed to build immunity to disease, which have helped to completely eliminate smallpox, and reduced incidence of polio and measles. A variety of breakthroughs made many years ago, such as the smallpox vaccine by Edward Jenner and the discoveries by Louis Pasteur, also set the stage for modern international immunization programs. A few events, such as the licensing of the polio vaccine and the passage of the Vaccination Assistance Act helped to improve the study of vaccines. In particular, vaccine trials may be RCTs, cluster trials, or cohort studies. The sample sizes will depend on the objectives, which would include the primary and secondary endpoints. The population under study and the geographical location also affect the trial design. Preclinical evaluation is usually the starting point of vaccine trials, where the safety and efficacy are researched on animal models or cell cultures. Animal models are selected based on their similarity to the target disease. Safety is checked in Phase I, efficacy in Phase II, and both in Phase III. Phase IV is a post-marketing surveillance of the vaccine's safety in real life. Regulatory bodies play a very vital role in ensuring that vaccines adhere to a very high standard of safety and efficacy, such as the FDA, as required. Ethical considerations, such as informed consent and the rights of participants, are innate and are implemented and enforced through laws, regulations, and ethical committees. Vaccine studies vary from the drug studies as it is focused on preventing illness in healthy patients as opposed to cure of diseases in drug trials. The dramatic development in vaccine research was driven by recent pandemics, with parallel processing and data collection in real time. Clinical trials of the vaccine are a foundation stone of public health in the reduction of sickness, offering immunity to diseases, and continuing the fight against infectious diseases. The present review is aimed at describing vaccine trials and their important aspects.

Data processing in internet of things networks

One of the distinctive features of cloud applications in the Internet of Things (IoT) network is the real-time collection and processing of data about the objects of the physical environment. To solve this problem, with the help of sensors, data about the state of physical objects is collected to form the processing of data streams. The performance of such systems is critically dependent on the ability to securely and efficiently collect, transmit, and analyze data streams between environmental (real-world) objects and information systems. In such a case, it is relevant to study the data stream in Internet of Things networks and the operations that may occur on them. The issue of which platforms to process the operations to be carried out at the same time is the main subject of discussion.

Enhancing IoT device security in Kubernetes: An approach adopted for network policies and the SARIK framework

The Internet of Things (IoT) has ushered in an era of connected devices that, while facilitating real-time data collection and sharing, also exposes these devices to significant security risks. This study addresses the challenges of security risks and vulnerabilities by employing the Network Policy in Kubernetes and focusing on the SARIK framework. SARIK is designed to automate the creation and implementation of network policies, with the aim of enhancing the efficiency and strengthening the protection of IoT devices. Experiments conducted in a controlled environment with Minikube in Kubernetes showed that the implementation of SARIK notably improved the security of IoT devices. Key observations included a noticeable reduction in vulnerability to cyberattacks and a significant increase in the overall resilience of the system. In particular, the study revealed improvements in the performance metrics analyzed, which is evidence of SARIK’s effectiveness in real-world scenarios. Compared with existing frameworks - e.g., those of Sysdig -, SARIK is notable for its integration with Kubernetes network policies and its emphasis on automated security management. Although automation is a key factor in related works, SARIK’s unique approach to leveraging the inherent capabilities of Kubernetes offers a distinct advantage in ensuring the security of IoT environments. This aspect, along with its performance benefits, underlines the value of SARIK’s contribution to IoT security. The application of SARIK in protecting IoT devices in Kubernetes environments meets the need for automated and cohesive strategies to tackle current security threats. This study not only highlights the efficiency of SARIK but also emphasizes the need for evolving security strategies, that can be adapted to dynamic threat modeling in complex and interconnected IT environments.

Unlocking Insights: The Imperative of Real-Time Data Collection and Mapping Systems

In today's rapidly evolving landscape, the need for timely and accurate data is paramount for informed decision-making across various sectors. However, traditional data collection methods often fall short in providing real-time insights necessary for addressing dynamic challenges. This study examines the critical problem of outdated data and the imperative for adopting real-time data collection and mapping systems to overcome it. The aim of the article is to highlight the transformative potential of such systems in unlocking actionable insights for decision-makers. By leveraging advanced technologies like geospatial mapping, sensor networks, and mobile data collection apps, organizations can gather, process, and analyze data in near real-time. This enables them to monitor trends, detect anomalies, and respond promptly to emerging issues. Ultimately, the adoption of real-time data systems offers a solution to the problem of outdated data, empowering decision-makers with the timely information needed to navigate complex scenarios and drive positive outcomes

Transforming Agriculture with Drones: Applications, Challenges and Implementation Strategies

The integration of drone technology, or Unmanned Aerial Vehicles (UAVs), has revolutionized the agricultural sector, offering a new era of precision and efficiency. This paper examines the diverse applications of drones in agriculture, including crop health assessment, precision crop spraying, soil analysis, irrigation management, and livestock monitoring. Equipped with advanced sensors and cameras, drones provide real-time data collection and analysis, enabling farmers to make informed decisions, optimize resource use, and swiftly respond to environmental changes. This technological advancement enhances productivity, conserves resources, and promotes sustainable farming practices. However, the adoption of drones in agriculture faces challenges such as high costs, regulatory uncertainties, and the need for specialized skills, along with concerns over privacy and weather dependency. Despite these obstacles, the potential benefits like improved resource utilization and reduced environmental impact underscore the importance of drones in meeting the growing global food demand. This paper aims to provide an extensive overview of the role and potential of drone technology in reshaping the future of agriculture, empowering farmers to optimize yields, conserve resources and embrace a more sustainable approach in the face of global challenges

IoT-enabled effective real-time water quality monitoring method for aquaculture

Aquaculture is growing industry from the perspective of sustainable food fulfillment and county's economic development. Technology oriented aquafarming is the solution for effective water quality monitoring and high yield production. Internet of Things (IoT) integrated aquaculture can cater to such requirements. This research article introduces a comprehensive method aimed at seamlessly incorporate IoT sensors into aquafarming environments, utilizing Arduino boards and communication modules. The proposed method measures accurate water quality parameters, such as temperature, pH levels, and Dissolved Oxygen (DO), which are essential for maintaining optimal conditions for suitable aquaculture environment. This method enables the real-time collection of critical data points that are essential prevent fish diseases and mortality with low human intervention and maintenance cost. The key contributions of the methodology are mentioned below.•Design and development of a compact and efficient Printed Circuit Board (PCB) to achieve accurate sensor data readings and reliable communication in an aqua environment.•Prevent fish disease and mortality rate through data-driven decision incorporating correlation of DO, pH, and temperature sensor data.•Conducted instrument calibration checks and cross-validated automated system data with manual observations through repeatability tests to ensure precise measurements of sensor parameters.

A Review On Revolutionizing Waste Water Collection and Recycling Processes with IoT

This paper provides an extensive review of IoT-driven solutions addressing critical challenges in sectors like wastewater treatment, agriculture, waste management, e-waste recycling, and water quality monitoring. Innovative models leverage IoT technology for real-time monitoring, control, and optimization. Examples include an industrial IoT cloud-based model for wastewater treatment, sensor integration in aquaculture systems for improved resource management, and intelligent waste collection systems in smart cities. The review identifies gaps and opportunities for advancements, highlighting the importance of real-time data collection, cloud-based analytics, and machine learning for informed decision- making in environmental and resource management

Investigating Best Practices for Ecological Momentary Assessment: Nationwide Factorial Experiment.

Ecological momentary assessment (EMA) is a measurement methodology that involves the repeated collection of real-time data on participants' behavior and experience in their natural environment. While EMA allows researchers to gain valuable insights into dynamic behavioral processes, the need for frequent self-reporting can be burdensome and disruptive. Compliance with EMA protocols is important for accurate, unbiased sampling; yet, there is no "gold standard" for EMA study design to promote compliance. The purpose of this study was to use a factorial design to identify optimal study design factors, or combinations of factors, for achieving the highest completion rates for smartphone-based EMAs. Participants recruited from across the United States were randomized to 1 of 2 levels on each of 5 design factors in a 2×2×2×2×2 design (32 conditions): factor 1-number of questions per EMA survey (15 vs 25); factor 2-number of EMAs per day (2 vs 4); factor 3-EMA prompting schedule (random vs fixed times); factor 4-payment type (US $1 paid per EMA vs payment based on the percentage of EMAs completed); and factor 5-EMA response scale type (ie, slider-type response scale vs Likert-type response scale; this is the only within-person factor; each participant was randomized to complete slider- or Likert-type questions for the first 14 days or second 14 days of the study period). All participants were asked to complete prompted EMAs for 28 days. The effect of each factor on EMA completion was examined, as well as the effects of factor interactions on EMA completion. Finally, relations between demographic and socioenvironmental factors and EMA completion were examined. Participants (N=411) were aged 48.4 (SD 12.1) years; 75.7% (311/411) were female, 72.5% (298/411) were White, 18.0% (74/411) were Black or African American, 2.7% (11/411) were Asian, 1.5% (6/411) were American Indian or Alaska Native, 5.4% (22/411) belonged to more than one race, and 9.6% (38/396) were Hispanic/Latino. On average, participants completed 83.8% (28,948/34,552) of scheduled EMAs, and 96.6% (397/411) of participants completed the follow-up survey. Results indicated that there were no significant main effects of the design factors on compliance and no significant interactions. Analyses also indicated that older adults, those without a history of substance use problems, and those without current depression tended to complete more EMAs than their counterparts. No other demographic or socioenvironmental factors were related to EMA completion rates. Finally, the app was well liked (ie, system usability scale score=82.7), and there was a statistically significant positive association between liking the app and EMA compliance. Study results have broad implications for developing best practices guidelines for future studies that use EMA methodologies. ClinicalTrials.gov number NCT05194228; https://clinicaltrials.gov/study/NCT05194228.