scholarly journals Waste Management System Using IoT-Based Machine Learning in University

2020 ◽  
Vol 2020 ◽  
pp. 1-13 ◽  
Author(s):  
Tran Anh Khoa ◽  
Cao Hoang Phuc ◽  
Pham Duc Lam ◽  
Le Mai Bao Nhu ◽  
Nguyen Minh Trong ◽  
...  

Along with the development of the Internet of Things (IoT), waste management has appeared as a serious issue. Waste management is a daily task in urban areas, which requires a large amount of labour resources and affects natural, budgetary, efficiency, and social aspects. Many approaches have been proposed to optimize waste management, such as using the nearest neighbour search, colony optimization, genetic algorithm, and particle swarm optimization methods. However, the results are still too vague and cannot be applied in real systems, such as in universities or cities. Recently, there has been a trend of combining optimal waste management strategies with low-cost IoT architectures. In this paper, we propose a novel method that vigorously and efficiently achieves waste management by predicting the probability of the waste level in trash bins. By using machine learning and graph theory, the system can optimize the collection of waste with the shortest path. This article presents an investigation case implemented at the real campus of Ton Duc Thang University (Vietnam) to evaluate the performance and practicability of the system’s implementation. We examine data transfer on the LoRa module and demonstrate the advantages of the proposed system, which is implemented through a simple circuit designed with low cost, ease of use, and replace ability. Our system saves time by finding the best route in the management of waste collection.

2012 ◽  
Vol 37 (4) ◽  
pp. 340-343 ◽  
Author(s):  
Mohammad Ali Mardani ◽  
Gholamreza Aminian ◽  
Farhad Tabatabaian ◽  
Mokhtar Arazpour ◽  
Stephen W Hutchins ◽  
...  

Background and aim: Microtia is one of the forms of ear loss and deformity. A prosthesis that is simple to apply, and which has adequate suspension and acceptable aesthetics, can be useful in the rehabilitation of patients with this deficit and can improve the social and psychological effects of patients with ear amputation. The aim of this article was to describe a novel technique for fabricating ear prosthesis in a patient with congenital ear deformity. Technique: This method involves a novel method to produce an ear prosthesis using clips that were located within the layers of the final silicone ear. Discussion: This study demonstrated ease of use and acceptance by the patient. Design and fabrication of silicone ear prosthesis via this new method of suspension could also be suitable for provision to children with ear microtia who are not yet suitable for surgery or would not be suited to other methods of suspension. Clinical relevance The new method of suspension demonstrated that this approach could be used to provide low cost and acceptable silicone ear prosthesis for patients with microtia and partial ear amputation.


GEOMATICA ◽  
2013 ◽  
Vol 67 (4) ◽  
pp. 243-251 ◽  
Author(s):  
S. Bisnath ◽  
A. Saeidi ◽  
J.-G. Wang ◽  
G. Seepersad

Over the past decade, network RTK technology has become popular as an efficient method of precise, real-time positioning. Its relatively low-cost and single receiver ease-of-use has allowed it to mostly replace static relative GPS and single baseline RTK in urban areas where such networks are economically viable (e.g., cadastral and construction survey). The Ministry of Transportation of Ontario (MTO) and York University have investigated the performance of commercial network RTK services in Southern Ontario, where performance is defined by a set of developed metrics. It was found that the user horizontal solution had an overall precision of ∼2.5 cm (95%), though there were cases of solution biases, drifts and gaps. A follow-up study is developing criteria and pathways for the certification of such commercial network RTK services, focusing on: reference station integration, reference station maintenance, and user solution monitoring. A set of recommendations for network certification is in preparation.


2021 ◽  
Vol 5 (4) ◽  
pp. 613-628 ◽  
Author(s):  
Rana Saeed Al-Maroof ◽  
Iman Akour ◽  
Rose Aljanada ◽  
Aseel M. Alfaisal ◽  
Raghad M. Alfaisal ◽  
...  

5G is a revolutionary development in network technologies which is gradually becoming very common among people contributing significantly in different fields such as education, industry, agriculture, health, tourism and military. Currently, 5G is an outbreak change as opposed to the traditional service of the Internet since it offers better quality, ultra-fast connection, low-cost, reduced latency, energy saving, which makes its great impact even greater in people’s life. The present study examines various factors that have a significant impact on the Use of 5G in the Gulf area. The study extended the TAM (Technology Acceptance Model) to include factors such as Perceived Enjoyment, Perceived Resources and Perceived Skills Readiness. The present research has adopted a hybrid model that incorporates TAM determinants with other external factors which have a direct relation with 5G as internet service. Previous studies have focused on the importance of 5G in different environments and countries. However, this study focuses on the newly spread Use of 5G in the gulf area by adopting a hybrid conceptual model. The findings suggest that 5G may help in promoting the usage of internet service more effectively with its low-cost, faster data transfer and better quality. Moreover, the findings indicate a positive effect of the gender as a mediator between the variables: Perceived Skills Readiness, Perceived Ease of use, and Perceived Resources.


Sensors ◽  
2021 ◽  
Vol 21 (13) ◽  
pp. 4254
Author(s):  
Maryam Abo-Tabik ◽  
Yael Benn ◽  
Nicholas Costen

Smoking cessation apps provide efficient, low-cost and accessible support to smokers who are trying to quit smoking. This article focuses on how up-to-date machine learning algorithms, combined with the improvement of mobile phone technology, can enhance our understanding of smoking behaviour and support the development of advanced smoking cessation apps. In particular, we focus on the pros and cons of existing approaches that have been used in the design of smoking cessation apps to date, highlighting the need to improve the performance of these apps by minimizing reliance on self-reporting of environmental conditions (e.g., location), craving status and/or smoking events as a method of data collection. Lastly, we propose that making use of more advanced machine learning methods while enabling the processing of information about the user’s circumstances in real time is likely to result in dramatic improvement in our understanding of smoking behaviour, while also increasing the effectiveness and ease-of-use of smoking cessation apps, by enabling the provision of timely, targeted and personalised intervention.


2019 ◽  
Vol 16 (1) ◽  
pp. 195-209
Author(s):  
Nabomita Paul ◽  
Ajay Pandey ◽  
Khushhali M. Pandey

Diabetes is a consequential human ailment afflicting a significant population in many countries across the world. In India, it is turning out to be a major health quandary, especially in urban areas. Though there are various approaches to reduce the ill-effects of diabetes and its secondary complications, herbal formulations are preferred due to lesser side-effects and low cost. Traditional medicines derived from medicinal plants are utilized by about 60% of the world’s population. This review focuses on Indian herbal drugs and medicinal plants utilized in the treatment of diabetes, especially in India.


2021 ◽  
Vol 20 (Supplement_1) ◽  
Author(s):  
MC Collins ◽  
EE Elliott ◽  
NS Stain ◽  
JM Malcolmson ◽  
CM Monkhouse

Abstract Funding Acknowledgements Type of funding sources: Public hospital(s). Main funding source(s): St Barts NHS Trust Introduction The advent of portable hand-held devices to record an electrocardiogram (ECG) in-clinic, has the potential to streamline patient assessment in many clinical environments. These ECG technologies are able to record one to six lead ECGs and enable rapid responses to clinical situations. These devices may also have a role in reducing interdepartmental movement of patients during the COVID-19 pandemic, by facilitating a one-stop shop for clinical evaluation.  However despite their benefit, they can be more prone to artefact than a 12-lead ECG. Purpose To describe the currently available hand-held ECG technologies, their ease of use and diagnostic accuracy for rhythm assessment. Method An online review was conducted to identify new ECG technologies. Clinical colleagues were also surveyed for recommendations with respect to specifications, availability of alternative products, and informed of the inclusion /exclusion criteria. The review included devices which had built-in abnormal rhythm notification or display, were cost-effective and easy to use. Devices were automatically excluded if cutaneous skin electrodes were required, no in-built ECG display or notification, additional data transfer required to access ECG data or a high unit cost. Results An initial search uncovered nine devices, with five meeting inclusion /exclusion criteria. These devices were tabulated and compared predefined criteria (See table 1: ECG Technology comparisons). The analysis revealed that all devices utilised two finger placement on their recording electrodes to produce immediate ECG results – no cutaneous ECG application required. The KardiaMobile 6L™ had the largest number of beneficial features, namely multi-channel device, QTc interpretation, rapid diagnosis time and low cost. The intended use of hand-held devices is to detect AF. Four of five devices produced a snapshot ECG for rhythm identification on their display. However, AfibAlert™ devices provided an instant light alert if atrial fibrillation (AF) was detected. Instant check™, Dimitek™ and AfibAlert™ benefit from being complete stand-alone devices. In contrast, KardioMobile devices have a built-in ECG display for instant review however, they require a smart phone or tablet to store and transfer the data. These devices support a reliable internal AF algorithm to obtain a high negative predicted value to safely rule out AF. Frequent premature atrial contractions (PACs) are often difficult to distinguish from AF and can lead to high false-positive rate. Hand-held devices are prone to artefact, however accurate visual assessment able to significantly reduce the amount of ECGs deemed uninterpretable. Conclusions Hand-held ECG technology has potential to become a useful, cost-effective tool during patient consultations, with rapid identification of clinically important arrhythmias. However, limitations exist across providers. A pilot trial of these devices is planned to assess further.


2021 ◽  
Vol 37 ◽  
pp. 01021
Author(s):  
A V Shreyas Madhav ◽  
Siddarth Singaravel ◽  
A Karmel

Compiler optimization techniques allow developers to achieve peak performance with low-cost hardware and are of prime importance in the field of efficient computing strategies. The realm of compiler suites that possess and apply efficient optimization methods provide a wide array of beneficial attributes that help programs execute efficiently with low execution time and minimal memory utilization. Different compilers provide a certain degree of optimization possibilities and applying the appropriate optimization strategies to complex programs can have a significant impact on the overall performance of the system. This paper discusses methods of compiler optimization and covers significant advances in compiler optimization techniques that have been established over the years. This article aims to provide an overall survey of the cache optimization methods, multi memory allocation features and explore the scope of machine learning in compiler optimization to attain a sustainable computing experience for the developer and user.


2021 ◽  
Author(s):  
Claas Strodthoff ◽  
Inéz Frerichs ◽  
Norbert Weiler ◽  
Björn Bergh

AbstractBackground/ObjectivesChoosing ventilator settings, especially positive end-expiratory pressure (PEEP), is a very common and non-trivial task in intensive care units (ICUs). Established solutions to this problem are either poorly individualised or come with high costs in terms of used material or time. We propose a novel method relying on machine learning utilising only already routinely measured data.MethodsUsing the MIMIC-III (with over 60000 ICU stays) and eICU databases (with over 200000 ICU stays) we built a deep learning model that predicts relevant success parameters of ventilation (oxygenation, carbon dioxide elimination and respiratory mechanics). We compare a random forest, individual neural networks and a multi-tasking neural network. Our final model also allows to simulate the expected effects of PEEP changes.ResultsThe model predicts arterial partial pressures of oxygen and carbon dioxide and respiratory system compliance 30 minutes into the future with mean absolute percentage errors of about 22 %, 10 % and 11 %, respectively.ConclusionsThe deep learning approach to ventilation optimisation is promising and comes with low cost compared to other approaches.


2020 ◽  
Vol 17 (1) ◽  
pp. 41
Author(s):  
UMMU SHOLEHAH MOHD NOR

High residential living in Malaysia has not been widely given a significant emphasises in literature despite its increasing scale and significance in the real estate market. The significance of high rise is mainly due the increasing rate of migration from rural to urban. It is estimated a total of 77.2 percent of the Malaysian population lived in urban areas in 2020. Approximately, 30 percent of this urban population lives in strata housing. These percentages are predicted to continue to increase in the future. The emergence of high residential building has been argued as confronting various problems which has considerable impact on this life style. Satisfaction is an important outcome of living in one’s dwelling, although it is not the only consideration. High residential building in Malaysia encountered numerous problems in term of management aspects, legislation aspects, and residents’ satisfaction. The purpose of this paper is to investigate the tenants’ satisfaction living in high residential buildings in Klang Valley. The questionnaires survey is conducted amongst 276 tenants at low cost and medium cost HRB using random sampling in HRB located at areas under jurisdiction Dewan Bandaraya Kuala Lumpur (DBKL), Majlis Bandaraya Subang Jaya (MBSJ), Majlis Bandaraya Shah Alam (MBSA), Majlis Bandaraya Subang Jaya (MBSJ), Majlis Perbandaran Selayang (MPS) and Majlis Perbandaran Ampang Jaya (MPAJ). The result from this study shows that tenant in medium cost residential building are more satisfied in term of facilities and management as compared to tenants in low cost residential building. Tenants also not disclosed to the existing act and procedure related to high residential building. In conclusion, this study suggested the Local Authority to emphasise the role of tenant. These recommendation hopefully will increase the level of satisfaction amongst the residents in HRB.


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