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1.
Sensors (Basel) ; 23(14)2023 Jul 13.
Article in English | MEDLINE | ID: mdl-37514675

ABSTRACT

The energy consumption of a heating, ventilation, and air conditioning (HVAC) system represents a large amount of the total for a commercial or civic building. In order to optimize the system performance and to increase the comfort of people living or working in a building, it is necessary to monitor the relevant parameters of the circulating air flux. To this end, an array of sensors (i.e., temperature, humidity, and CO2 percentage sensors) is usually deployed along the aeraulic ducts and/or in various rooms. Generally, these sensors are powered by wires or batteries, but both methods have some drawbacks. In this paper, a possible solution to these drawbacks is proposed. It presents a wireless sensor node powered by an Energy Harvesting (EH) device acted on by the air flux itself. The collected data are transmitted to a central unit via a LoRa radio channel. The EH device can be placed in air ducts or close to air outlets.

2.
Sensors (Basel) ; 23(3)2023 Jan 20.
Article in English | MEDLINE | ID: mdl-36772241

ABSTRACT

In the climate change scenario the world is facing, extreme weather events can lead to increasingly serious disasters. To improve managing the consequent risks, there is a pressing need to have real-time systems that provide accurate monitoring and possibly forecasting which could help to warn people in the affected areas ahead of time and save them from hazards. The oblique earth-space links (OELs) have been used recently as a method for real-time rainfall detection. This technique poses two main issues related to its indirect nature. The first one is the classification of rainy and non-rainy periods. The second one is the determination of the attenuation baseline, which is an essential reference for estimating rainfall intensity along the link. This work focuses mainly on the first issue. Data referring to eighteen rain events were used and have been collected by analyzing a satellite-to-earth link quality and employing a tipping bucket rain gauge (TBRG) properly positioned, used as reference. It reports a comparison among the results obtained by applying four different machine learning (ML) classifiers, namely the support vector machine (SVM), neural network (NN), random forest (RF), and decision tree (DT). Various data arrangements were explored, using a preprocessed version of the TBRG data, and extracting two different sets of characteristics from the microwave link data, containing 6 or 12 different features, respectively. The achieved results demonstrate that the NN classifier has outperformed the other classifiers.

3.
Acta Biomed ; 92(S3): e2021535, 2022 03 10.
Article in English | MEDLINE | ID: mdl-35604272

ABSTRACT

BACKGROUND AND AIM: Bony Mallet Finger or Mallet Fracture is a common injury of the hand, which follows a forced flexion of the extended distal interphalangeal joint, that leads to a bony avulsion of the distal phalanx. Depending on fracture extension and dislocation, those lesions can either be treated conservatively or surgically. Several surgical options have been described in the literature. The aim of this study is to compare retrospectively two percutaneous pinning techniques: the extension block technique according to Ishiguro vs an original single Kirshner wiring (Umbrella technique). METHODS: Between January 1998 and December 2019, among all patients treated surgically for a Mallet Fracture with either the Ishiguro' and the Umbrella technique, 98 have been included in this study. All patients have been assessed one year after surgery using the Crawford method. RESULTS: With both techniques better results have been achieved in younger patients and for those treated early. The umbrella technique seems to have better results in patients with fracture classified as 2b or 2c (Wehbe and Schneider classification), whereas the Ishiguro technique seems more appropriate for patients with a 1b fracture. Complication rate and typology vary depending on the used technique. CONCLUSIONS: The Ishiguro' and the Umbrella technique both lead to good results for the treatment of surgical Mallet Fractures. The choice of the best type of pinning should mainly depend on fracture extension and time elapsed from trauma.


Subject(s)
Finger Injuries , Finger Phalanges , Fractures, Bone , Hand Deformities, Acquired , Tendon Injuries , Bone Wires/adverse effects , Finger Injuries/complications , Finger Injuries/diagnostic imaging , Finger Injuries/surgery , Finger Phalanges/injuries , Finger Phalanges/surgery , Fracture Fixation, Internal/methods , Fractures, Bone/complications , Fractures, Bone/diagnostic imaging , Fractures, Bone/surgery , Hand Deformities, Acquired/complications , Hand Deformities, Acquired/surgery , Humans , Retrospective Studies , Tendon Injuries/surgery , Treatment Outcome
4.
Sensors (Basel) ; 22(9)2022 May 04.
Article in English | MEDLINE | ID: mdl-35591187

ABSTRACT

The Internet of Things (IoT) has disrupted the IT landscape drastically, and Long Range Wide Area Network (LoRaWAN) is one specification that enables these IoT devices to have access to the Internet. Former security analyses have suggested that the gateways in LoRaWAN in their current state are susceptible to a wide variety of malicious attacks, which can be notoriously difficult to mitigate since gateways are seen as obedient relays by design. These attacks, if not addressed, can cause malfunctions and loss of efficiency in the network traffic. As a solution to this unique problem, this paper presents a novel certificate authentication technique that enhances the cyber security of gateways in the LoRaWAN network. The proposed technique considers a public key infrastructure (PKI) solution that considers a two-tier certificate authority (CA) setup, such as a root-CA and intermediate-CA. This solution is promising, as the simulation results validate that about 66.67% of the packets that are arriving from an illegitimate gateway (GW) are discarded in our implemented secure and reliable solution.

5.
Sensors (Basel) ; 21(19)2021 Sep 29.
Article in English | MEDLINE | ID: mdl-34640846

ABSTRACT

Edge Computing enables to perform measurement and cognitive decisions outside a central server by performing data storage, manipulation, and processing on the Internet of Things (IoT) node. Also, Artificial Intelligence (AI) and Machine Learning applications have become a rudimentary procedure in virtually every industrial or preliminary system. Consequently, the Raspberry Pi is adopted, which is a low-cost computing platform that is profitably applied in the field of IoT. As for the software part, among the plethora of Machine Learning (ML) paradigms reported in the literature, we identified Rulex, as a good ML platform, suitable to be implemented on the Raspberry Pi. In this paper, we present the porting of the Rulex ML platform on the board to perform ML forecasts in an IoT setup. Specifically, we explain the porting Rulex's libraries on Windows 32 Bits, Ubuntu 64 Bits, and Raspbian 32 Bits. Therefore, with the aim of carrying out an in-depth verification of the application possibilities, we propose to perform forecasts on five unrelated datasets from five different applications, having varying sizes in terms of the number of records, skewness, and dimensionality. These include a small Urban Classification dataset, three larger datasets concerning Human Activity detection, a Biomedical dataset related to mental state, and a Vehicle Activity Recognition dataset. The overall accuracies for the forecasts performed are: 84.13%, 99.29% (for SVM), 95.47% (for SVM), and 95.27% (For KNN) respectively. Finally, an image-based gender classification dataset is employed to perform image classification on the Edge. Moreover, a novel image pre-processing Algorithm was developed that converts images into Time-series by relying on statistical contour-based detection techniques. Even though the dataset contains inconsistent and random images, in terms of subjects and settings, Rulex achieves an overall accuracy of 96.47% while competing with the literature which is dominated by forward-facing and mugshot images. Additionally, power consumption for the Raspberry Pi in a Client/Server setup was compared with an HP laptop, where the board takes more time, but consumes less energy for the same ML task.


Subject(s)
Artificial Intelligence , Machine Learning , Algorithms , Humans , Image Processing, Computer-Assisted , Software
6.
Orthop Rev (Pavia) ; 13(1): 9058, 2021 Mar 30.
Article in English | MEDLINE | ID: mdl-33953889

ABSTRACT

Avulsions of the volar plate of the finger proximal interphalangeal joint (PIPJ) following sprains are often undiagnosed in the acute setting. Therefore, the chronic outcomes of this injury are most frequently the object of study and treatment. Different techniques for volar plate chronic avulsion repair are described in the literature. The most used among these are mainly two: the direct suturing with or without the use of bone anchors and the tenodesis techniques with flexor digitalis superficialis (FDS). The aim of this systematic review is to determine outcomes and complications associated with these surgical treatments of post-traumatic volar plate avulsions without phalangeal fractures. An electronic literature research was carried out and pertinent articles were selected. Surgical techniques details, outcomes and complications for direct sutures and tenodesis technique are discussed. Outcomes (Range of motion and pain) seem to be comparable, whereas authors that use the direct suture technique describe more frequently PIPJ flexion contracture complication. From this review of the literature, authors believe that both techniques are available for the repair of chronic injuries of the volar plate of the PIPJ, although direct suturing can be considered as less reproducible.

7.
Sensors (Basel) ; 21(3)2021 Jan 20.
Article in English | MEDLINE | ID: mdl-33498464

ABSTRACT

Correct regulation of meteoric surface and subsurface flow waters is a fundamental goal for the sustainable development of the territories. A new system, aimed at real-time monitoring of the rainfall and of the cumulated rainfall, is introduced and discussed in the present paper. The system implements a Sensor Network based on the IoT paradigm and can cover safety-critical "hot spots" with a relatively small number of sensors, strategically placed, in areas not covered by traditional weather radars and rain gauges, and lowering the costs of deployment and maintenance with respects to these devices. A real application case, based on the implementation of the pilot plant at the Monte Scarpino landfill (Genoa, Italy), is presented and discussed. The system performances are assessed on the basis of comparisons with data provided by a polarimetric weather radar and by a traditional rain gauge.

8.
Med Glas (Zenica) ; 18(1): 309-315, 2021 02 01.
Article in English | MEDLINE | ID: mdl-33480224

ABSTRACT

Aim To evaluate the case series of the patients operated with percutaneous fixation by the navigation system based on 3D fluoroscopic images, to assess the precision of a surgical implant and functional outcome of patients. Methods A retrospective study of pelvic ring fractures in a 2-year period included those treated with the use of the O-Arm 2 in combination with the Stealth Station 8. Pelvic fractures were classified according to the Tile and the Young-Burgess classification. All patients were examined before surgery, with X-rays and CT scans, and three days after surgery with additional CT scan. The positioning of the screws was evaluated according to the Smith score, the outcome with the SF-36. Results Among 24 patients 18 were with B and six with C type fracture according to Tile, while eight were with APC, 10 LC, and six with VS type according to Young-Burgess classification. All patients were treated in the supine position, except two. A total of 41 iliosacral or transsacral screws and five anterior pelvic ring screws were implanted. The medium surgical time per screw was 41 minutes. There was a perfect correspondence of screw scores value from post-operative CT and intraoperative fluoroscopy. The mean screw score value was 0.92. There were no cases of poor positioning. The median follow-up was 17.5 months. The patients were satisfied with their health condition on SF-36. Conclusion The use of the O-arm guarantees great precision in the positioning of the screws and reduced surgical times with excellent clinical results in patients.


Subject(s)
Imaging, Three-Dimensional , Surgery, Computer-Assisted , Bone Screws , Fracture Fixation, Internal , Humans , Pelvis/diagnostic imaging , Retrospective Studies , Sacrum , Tomography, X-Ray Computed
9.
Orthop Rev (Pavia) ; 12(Suppl 1): 8679, 2020 Jun 29.
Article in English | MEDLINE | ID: mdl-32913607

ABSTRACT

Up to a decade ago, to treat patients with chronic wrist pain due to advanced stages of arthritis, surgeons had four main solutions: partial or total wrist arthrodesis, total wrist prosthesis and proximal row carpectomy (PRC). Since 2010, a new technique has been described in literature using the Resurfacing Capitate Pyrocarbon Implant (RCPI), combined to PRC. The aim of this article is to review the literature and determine the indications, outcomes and complications associated with RCPI. An electronic literature research was carried out and pertinent articles were selected. Surgical technique, results and complications described in those articles are presented. From this review of the literature, authors conclude that Resurfacing Capitate Pyrocarbon Implant can be considered as a good alternative to arthrodesis and total wrist arthroplasty, at any ages, when proximal row carpectomy alone would not be indicated.

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