Vacuum Cleaner Research Articles

Numerical tackling for MHD Darcy-Forchheimer flow of water-based CNTs in a rotating frame with homogeneous-heterogeneous reactions: An artificial neural network approach

Numerous scientific fields rely heavily on rotating flows, such as jet engine design, geophysical flows, turbine engineering, vacuum cleaner design, and many others. Prior research on rotational flow has largely disregarded the impact of viscous dissipation and homogeneous-heterogeneous responses. The present study investigates the Darcy-Forchheimer flow of carbon nanotubes (CNTs) in a rotating frame caused by a biaxial stretched plate with heat consumption and radiation. Furthermore, the mass transport mechanism is treated in terms of homogeneous-heterogeneous chemical reactions. The equations governing the flow are reduced into ordinary differential equations by using appropriate transforms. An advanced computational technique, bvp4c, has been used to provide precise numerical solutions.The computation of the resulting systems is also performed using an artificial neural network (ANN) and also the machine learning study shows a high correlation between the numerical and ANN findings, with a mean squared error (MSE) of 0.000053 for SWCNT and 0.000268 for MWCNT. A comprehensive investigation of several parameters yields both graphical and numerical outcomes. It has been discovered that larger values of the Forchheimer number and porosity parameter result in the decay of fluid velocities. The x − direction skin friction coefficient reduced 50% and the y − direction skin friction coefficient improved 46% when the magnetic field enhanced 200%. The 200% porosity parameter leads to reducing the local Nusselt number by 22% for both CNTs.

Dynamics and capability of along orbit debris self-collecting with rotating constant magnets

Orbital debris with equivalent size of 1∼10 cm is hard to be detected and its number is huge, which is the most harmful to on-orbit spacecraft while there is still no effective removal means. Inspired by vacuum cleaner, applying the conductive property of orbital debris and the physical law that variable magnetic flux would induce eddy current on the surface of a conductive material, this paper put forward a novel approach of ‘along orbit debris self-collecting with rotating constant magnetic dipole array’. Based on dynamic modeling, self-collecting feasibility and control capability analysis, evolution law of relative orbital motion with induced magnetic force derivation, and on-orbit debris magnetic collecting numerical simulation, this novel approach has been verified and the corresponding requirements of magnetic collector are put forward. In addition, this paper also gave how to use several key parameters to adjust the region of along orbit debris self-collecting, and pointed out several problems needing to be researched in-depth for actual application.

153 Performance testing of cordless handheld vacuum cleaners

153 Performance testing of cordless handheld vacuum cleaners

Floor Cleaning Robot using Android App

The contemporary household landscape is witnessing a paradigm shift towards enhanced intelligence and automation. The integration of home automation systems not only provides increased convenience but also affords individuals more time for other pursuits. This project endeavors to conceptualize and actualize a Vacuum Robot that operates autonomously and manually through a designated mobile application. The Vacuum Cleaner Robot, utilizing components such as Arduino Mega, Arduino Shield, LDR Sensor, Real-Time Clock, Motor Shield L293D, Ultrasonic Sensor, and IR Sensor, aims to streamline the cleaning process, replacing manual vacuuming with an efficient automated solution. The primary objective of this initiative is to successfully design and implement a prototype Vacuum Robot that adheres to user-friendly criteria outlined in the aforementioned context.

An innovative device for the eggs cleaning of rice meal moth, Corcyra cephalonica (Stainton) (Lepidoptera: Pyralidae)

The eggs of Corcyra cephalonica (Stainton) (Lepidoptera: Pyralidae) remain mixed with insect scales and broken insect body parts in the oviposition containers while doing mass rearing in the insectaries, which necessitate its cleaning. An innovative mechanical device was invented, developed and standardized for cleaning of Corcyra eggs and to maintain a hygienic environment in the insectaries. This device consists of a tubular column, a specialized funnel, and it is operated with the help of a vacuum cleaner. The device offers a clean and efficient method of collection and cleaning of eggs, obviating health hazards to workers.

VERO: A vacuum‐cleaner‐equipped quadruped robot for efficient litter removal

AbstractLitter nowadays presents a significant threat to the equilibrium of many ecosystems. An example is the sea, where litter coming from coasts and cities via gutters, streets, and waterways, releases toxic chemicals and microplastics during its decomposition. Litter removal is often carried out manually by humans, which inherently lowers the amount of waste that can be effectively collected from the environment. In this paper, we present a novel quadruped robot prototype that, thanks to its natural mobility, is able to collect cigarette butts (CBs) autonomously, the second most common undisposed waste worldwide, in terrains that are hard to reach for wheeled and tracked robots. The core of our approach is a convolutional neural network for litter detection, followed by a time‐optimal planner for reducing the time needed to collect all the target objects. Precise litter removal is then performed by a visual‐servoing procedure which drives the nozzle of a vacuum cleaner that is attached to one of the robot legs on top of the detected CB. As a result of this particular position of the nozzle, we are able to perform the collection task without even stopping the robot's motion, thus greatly increasing the time‐efficiency of the entire procedure. Extensive tests were conducted in six different outdoor scenarios to show the performance of our prototype and method. To the best knowledge of the authors, this is the first time that such a design and method was presented and successfully tested on a legged robot.

A Futuristic Living Room Experience with Robotic Serenity

Automation, environmental consciousness, and robots are dancing on our houses more and more. Imagine your living room filled with friendly robots, air-purifying trees that swing to the beat of the sun, and vacuum cleaners that scutter over the floor. The intelligent design of household robots, environmentally conscious marvels like smart trees, and even the robotic makeover of the common vacuum cleaner are shaping this future—it's no longer science fiction. Developing technology that works with us, not against us, is the key. Adopting this human-centered strategy will enable us to build dwellings that are full of life, where technology speaks softly rather than loudly, and where convenience and sustainability go hand in hand. The future house is a symphony just waiting to be created, so let's welcome the robots, make friends with the cleansing trees, and enjoy the dance of the vacuums.

Predicting Quality of Modified Product Attributes to Achieve Customer Satisfaction

In the era of the competitive environment, the improvement in current products is ensured through activities aimed at increasing a product’s quality level and, consequently, reducing the amount of waste. The dynamically changing production environment and sudden changes in customer expectations force us to take precise and well-thought-out development steps. Furthermore, it is important to anticipate favourable product changes to prepare for market changes over time. This is still an open problem. The aim of this study was to develop a method to predict the quality of potential product prototypes resulting from the proposed modifications of the product features. This methodology takes into account current customer expectations. The method was created based on the principles of creating Quality Function Deployment (QFD) in the context of taking into account current and future customer expectations regarding product features. This is a new approach to analysing product quality within the principles of the traditional QFD method. The originality of the study is the technique used in the method to estimate the expected values of product features and their importance (weights), taking into account current customer expectations. Its originality is also manifested in drawing conclusions supporting the decision-making process of product improvement, because it involves ensuring the pro-quality modification of selected features of current products in the order that is most advantageous from the customer’s point of view. The use of the proposed method allows for the analysis of the impact of modifying the current value of a product feature. The method is illustrated with an example of a vacuum cleaner for home use. However, the proposed method can be applied to the design of any product to predict products that will meet customer expectations.

Automatic Vacuum Cleaner Robot

Automatic Vacuum Cleaner Robot

Repair and Reuse or Recycle: What Is Best for Small WEEE in Australia?

The global and Australian trends indicate a steady increase in the generation of small waste electrical and electronic equipment (WEEE), constituting 30% of global WEEE in 2019 with an expected 90% increase in Australia over the next 25 years. Given this fact, identifying the most suitable circular economy strategy is vital in managing this waste stream. Hence, followed by a review of the literature, a model was developed to assess the suitability of repair, reuse, and recycling of small electrical and electronic equipment (EEE) by considering the lifespan and products put on the market (PoM) as critical variables. Findings indicate that solely repairing and reusing products, without reducing PoM small EEE, minimally affects short-term waste reduction. A synergistic approach, combining high product reuse with reduced PoM small EEE, is essential to decrease small WEEE generation significantly. Regardless of lifespan changes, the study indicates a proportional relationship between small WEEE generation rates and PoM small EEE changes, emphasising the need for a holistic strategy. Considering this, within stewardship schemes, the primary focus should initially lie on repairing and repurposing small EEE, with the potential for expansion into recycling once sufficient infrastructure and achievable recovery goals are established. Original equipment manufacturers (OEMs) must shoulder substantial accountability, with a firm commitment to extended producer responsibility (EPR) even for historical products. The initial rollout could target four specific categories: toys, food preparation equipment, vacuum cleaners, and household tools, with the scope widening to encompass all categories following successful implementation.

Smart Vacuum Cleaning Robot

In today's fast-paced world, the demand for efficient and convenient household technologies continues to surge. Among these, smart vacuum cleaning robots have emerged as indispensable tools, promising automated cleaning solutions that integrate seamlessly into modern lifestyles. This abstract presents a comprehensive overview of a cutting-edge smart vacuum cleaning robot embedded system, featuring five key components for enhanced functionality. The system is anchored by an Arduino Nano-based model, leveraging the versatility and reliability of Arduino technology to orchestrate the robot's operations. Through a Bluetooth-operated interface facilitated by a dedicated mobile application, users can effortlessly control the robot's movements and cleaning schedules, offering unparalleled convenience and flexibility. Equipped with a dry vacuum cleaning system optimized for dust collection, the robot ensures thorough cleaning performance while minimizing maintenance hassles. Additionally, an ultrasonic sensor serves as a robust obstacle detector, enabling the robot to navigate intelligently and avoid collisions with furniture and other obstructions. Crucially, the entire system operates on a battery-powered module, granting the freedom to traverse various spaces without constraints imposed by traditional power sources. By synergizing these components, the proposed smart vacuum cleaning robot embedded system epitomizes the convergence of innovation and practicality, poised to revolutionize the landscape of home cleaning automation.

가정용 로봇청소기의 컬러 트렌드 분석

This study aims to analyze color trends focusing on household robot vacuum cleaners that have won Red Dot, iF, and IDEA design awards over the past four years. For this purpose, 89 products were selected from 2020 to 2023. The color analysis process involved collecting product photos and information posted on the Design Award website and extracting each product's primary, secondary, and accent colors. Munsell H V/C values were calculated by BabelColor CT&A based on sRGB data and distributed on the Hue & Tone color chart to conduct frequency analysis. At the same time, the frequency and characteristics by year were compared based on 18 color combination types. The results of the color trend synthesized were organized into color trends based on Hue and Tone charts, color trends for primary, secondary, and accent colors, and trends by color combination type.

Marcus Antonius ταμίας ἀντιστράτηγος: first known case of Roman quaestors being granted praetoral powers

The article analyzes the inscription from the Delos island (ID 2. 1603), in which the official status of Marcus Antonius Orator is designated as ταμίας ἀντιστράτηγος - quaestor-propraetor, which is the first known case of Roman republican quaestors being granted the powers of praetors (quaestor pro praetore). Other epigraphic and narrative sources are involved into analysis. The author of the article dates the empowerment of quaestor M. Antonius with the powers of propraetor to 113 BC and rejects his case as an evidence that the pro praetore proquaestors were officially called quaestors in inscriptions (as was accepted in the historiography of the issue).

Utilizing surface plasmon resonance as a novel method for monitoring in-vitro P-glycoprotein efflux.

P-glycoprotein (Pgp) is known for its dichotomous roles as both a safeguarding efflux transporter against xenobiotics and as a catalyst for multidrug resistance. Given the susceptibility of numerous therapeutic compounds to Pgp-mediated resistance, compliance with Food and Drug Administration (FDA) guidelines mandates an in-depth in vitro transport assay during drug development. This study introduces an innovative transport assay that aligns with these regulatory imperatives but also addresses limitations in the currently established techniques. Using Pgp-reconstituted liposomes and employing surface plasmon resonance (SPR), this study developed a distinct method of measuring the relative transport rates of Pgp substrates in a controlled microenvironment. The Pgp substrates selected for this study-quinidine, methadone, and desipramine-resulted in transport ratios that corroborate with trends previously observed. To assess the kinetics of Pgp-mediated transport, the results were analyzed by fitting the data to both currently proposed Pgp substrate translocation models-the vacuum cleaner and flippase models. While the resulting kinetic analysis in this study lends support predominantly to the vacuum cleaner model, this study most notably developed a novel method of assessing Pgp-mediated transport rates and real-time kinetics using surface plasmon resonance.

The results of entomological monitoring West Nile fever on the territory of the Crimean peninsula in the 2022 season

Objective: to evaluate the role of blood-sucking mosquitoes of various species living in the northern and central regions of the Crimean Peninsula in the transmission of West Nile virus (WNV).Materials and methods: the collection of bloodsucking mosquitoes was carried out in 7 administrative units of the Republic of Crimea with automatic traps and a vertical handheld vacuum cleaner from July 1 to August 5, 2022. The species composition of mosquitoes was determined visually using an MSP-1 stereomicroscope (option 22) using standard keys. Detection of WNV RNA in the samples was performed by RT-PCR. Mosquito infection levels and dominance index were calculated.Results: a common eudominant species for urban and rural biotopes of the surveyed areas was determined Ae. caspius, whose dominance index was 72.4% and 31.3%. Mosquitoes of the species Cx. modestus were the most numerous in rural biotopes (dominance index — 48.4%). The invasive species Ae. albopictus in the central part of the Crimean peninsula, which indicates the expansion of its habitat. Of 18.6 thousand mosquitoes of 12 species, merged in 693 samples, WNV RNA was detected in 14 samples (2.02%), 3 isolates of the pathogen were isolated. A high level of WNV infection of mosquitoes in urban biotopes was established, which amounted to 4.12%. WNV circulation was first confirmed in the northern part of Crimea (Krasnoperekopsky district).Conclusion: the epidemiological significance of mosquitoes of various species on the territory of the Crimean Peninsula has been determined. The data on the spread of WNV in the Republic of Crimea were supplemented, taking into account which the estimated zoning of the territory was carried out according to the degree of risk of infection with WNV. Recommendations are given to strengthen epidemiological surveillance and preventive measures.

Assessing the analytical reliability of traditional and novel sampling methods for the study of flower rewards quality

AbstractPollinator insects are declining worldwide also due to the alteration of their diet which plays a pivotal role in influencing their health status. Despite interspecific and intraspecific diversity in the diet, pollinators completely or partly rely on pollen and nectar as food sources. A precise characterization of the chemical composition of these flower resources represents a key step in the definition of pollinators' nutritional ecology. However, pollen and nectar represent challenging sources to collect and analyze, especially due to their small amounts per flower, and the application of suitable sampling and analysis tools is a pivotal step to perform dedicated studies and comparisons. Here, we compared a recently proposed tool based on a portable vacuum cleaner for floral pollen collection (E‐PoSa, i.e., Electronic Pollen Sampler) with traditional pollen sampling methods (i.e., anther collection and anther sieving) together with the evaluation of different nectar sampling techniques (i.e., centrifugation, microcapillaries, washing, and microrinsing) by looking at the differences in their quantitative recovery as well as their chemical profiling. Pollen and nectar were collected from three model flower species each. Our results demonstrated that different collection methods introduce biases in the nutritional profiling of floral rewards and specifically: (1) underestimation of the pollen protein and lipid content in the anther collection method; (2) reduction in the volume of recovered nectar by centrifugation; (3) overestimation of the glucose content in the nectar collected by flower washing and underestimation of the glucose content by microrinsing; and (4) relevant biases in the phytochemical profiles of pollen and nectar by analyzing the whole anthers and the nectar collected by washing the entire flower. Differences in methods were not directly related to the different productivity of pollen and nectar across species. The final goal of the study is to propose standardized, comparable, and easily accessible strategies for the study of flower resources that ultimately impact on pollinators' nutritional ecology. Acknowledging the potential influences of the sampling techniques and moving toward shared field protocols will advance the comprehension of species interactions, foraging patterns, and pollinators' nutritional needs.

So fresh, so clean: Cloud forensic analysis of the Amazon iRobot Roomba vacuum

The advent of the smart home has been made possible by Internet of Things (IoT) devices that continually collect and transmit private user data. In this paper, we explore how data from these devices can be accessed and applied for forensic investigations. Our research focuses on the iRobot Roomba autonomous vacuum cleaner. Through detailed analysis of Roomba's cloud infrastructure, we discovered undocumented Application Program Interfaces (APIs). Leveraging these APIs, we developed PyRoomba – an open-source Python application that acquires a Roomba's complete mission history and navigational data. From this information, PyRoomba generates detailed mission logs and maps of navigated spaces, informing the user about mission duration, detected objects, degree of coverage, and encrypted image captures. We compared the outcomes of PyRoomba with Roomba's mobile application across six navigation runs in two environments of different sizes. We found that PyRoomba provides more detailed environmental information. A simulated crime scene case study demonstrated PyRoomba's ability to detect environmental changes, such as bodies and knives, which were identified as hazards or obstacles. PyRoomba offers a more forensically sound approach to cloud acquisition compared to Roomba's standard mobile application, minimizing the risk of inadvertently triggering the device during a crime scene investigation.

Research on human-computer interaction and user experience of smart home system

This article aims to present a perceptive summary of cutting-edge home automation systems, exploring basic topics including human-computer interaction, communication technologies, networking protocols, and the fascinating science underlying the industry's most well-known applicationthe robotic vacuum cleaner. Put succinctly, using intelligent sweeping robots in smart homes signifies a significant advancement in machine autonomy and artificial intelligence. Furthermore, integrating renewable energy and grid management solutions with smart home systems will be fueled by the pursuit of sustainability and energy efficiency. Ultimately, exploring the intelligent home system's core has shed light on technology and its revolutionary effects on our day-to-day existence. As we stand on the edge of a better future, the convergence of connection, communication, and interaction invites us to embrace innovation and push what is possible in our personal lives.

Visual-and-Language Multimodal Fusion for Sweeping Robot Navigation Based on CNN and GRU

Effectively fusing information between the visual and language modalities remains a significant challenge. To achieve deep integration of natural language and visual information, this research introduces a multimodal fusion neural network model, which combines visual information (RGB images and depth maps) with language information (natural language navigation instructions). Firstly, the authors used faster R-CNN and ResNet50 to extract image features and attention mechanism to further extract effective information. Secondly, GRU model is used to extract language features. Finally, another GRU model is used to fuse the visual- language features, and then the history information is retained to give the next action instruction to the robot. Experimental results demonstrate that the proposed method effectively addresses the localization and decision-making challenges for robotic vacuum cleaners.

Case-Based Reasoning in Achieving Sustainability Targets of New Products

Improving product sustainability is becoming an increasingly significant challenge for modern enterprises. A growing number of manufacturers are interested in enhancing product sustainability throughout the product life cycle. This study is concerned with using case-based reasoning to identify ways of improving product sustainability and select variables for model specification. Parametric models are applied to search for opportunities to improve product sustainability. This can be achieved through changes introduced at the product design stage. Simulations are performed using constraint-satisfaction modeling to identify conditions for achieving the sustainability targets of new products. Constraint-satisfaction modeling provides a suitable framework for finding all possible sustainability-enhancing changes (if any) during the new product development process. These changes may support R&D specialists in identifying opportunities to improve the sustainability of new products. We demonstrate the usefulness of the proposed approach with an example in which our method enabled a reduction in the product failure rate and an increase of battery lifespan for a robot vacuum cleaner line. We analyzed several factors affecting two targets of product sustainability: minimizing the product failure rate and maximizing battery lifespan. Our findings indicate that R&D staff size is the biggest factor in reducing the product failure rate, and that battery capacity is the most significant factor in battery lifespan.