A cloud IFC-based BIM platform for building energy performance simulation

The BIM Management Platform (BIM-MP) is a digital Building Information Model processing tool, responsible for handling BIM data that conform to the IFC standard. It provides an integrated data management solution for storing, versioning, updating and checking IFC data, which are created and modified by AEC practitioners. The embedded API allows the data exchange between BIM-MP and other online tools which forward IFC files into the BIM-MP repository to perform various operations using different BIM-MP functional modules. Some of the modules create visual and textual reports regarding data quality issues in terms of data consistency, completeness and correctness, while others enrich the IFC data with new IFC objects with the necessary semantic links. All these modules are deployed as standalone containerized applications using the Service-Oriented Architecture (SOA) design principle

Gravitational-wave imprints of compact and galactic-scale environments in extreme-mass-ratio binaries

Circumambient and galactic-scale environments are intermittently present around black holes that reside in active galactic nuclei. As supermassive black holes impart energy on their host galaxy, so the galactic environment affects the dynamics of solar-mass objects around black holes and the gravitational waves emitted from non-vacuum asymmetric binaries. Only recently an exact general-relativistic solution has been found that describes a Schwarzschild black hole immersed in a dark matter halo of the Hernquist type. We perform an extensive analysis of generic geodesics delving in such non-vacuum spacetimes and compare our results with those obtained in Schwarzschild, as well as calculate their gravitational-wave emission. Our findings indicate that the radial and polar oscillation frequency ratios descend deeper into the strong gravity region as the compactness of the halo increases. This translates to a redshift of non-vacuum geodesics and their resulting waveforms with respect to the vacuum ones. We calculate the overlap between waveforms resulting from Schwarzschild and non-vacuum geometries and find that it decreases as the halo compactness grows, meaning that dark matter environments should be distinguishable by space-borne detectors. For compact environments, we find that the apsidal precession is strongly affected due to the gravitational pull of dark matter; the orbit's axis can rotate in the opposite direction as that of the orbital motion, leading to a retrograde precession drift that depends on the halo mass, as opposed to the typical prograde precession transpiring in galactic-scale environments. Gravitational waves in retrograde-to-prograde alterations demonstrate transient frequency phenomena around critical non-precessing turning points, thus they may serve as `smoking guns' for the presence of compact dark matter environments around supermassive black holes.Comment: 19 pages, 10 figures, revisions regarding detectability and addition of new figures and sections, abstract reduced to fit arxiv limits, accepted for publication in PR

Laparoscopic Cholecystectomy for Severe Acute Cholecystitis in a Patient with Situs Inversus Totalis and Posterior Cystic Artery

Situs inversus totalis is an inherited condition characterized by a mirror-image transposition of thoracic and abdominal organs. It often coexists with other anatomical variations. Transposition of the organs imposes special demands on the diagnostic and surgical skills of the surgeon. We report a case of a 34-year-old female patient presented with left upper quadrant pain, signs of acute abdomen, and unknown situs inversus totalis. Severe acute cholecystitis was diagnosed, and an uneventful laparoscopic cholecystectomy was performed. A posterior cystic artery was identified and ligated. Laparoscopic cholecystectomy is feasible in patients with severe acute calculus cholecystitis and situs inversus totalis; however, the surgeon should be alert of possible anatomic variations

An anomaly-based intrusion detection system for internet of medical things networks

Over the past few years, the healthcare sector is being transformed due to the rise of the Internet of Things (IoT) and the introduction of the Internet of Medical Things (IoMT) technology, whose purpose is the improvement of the patient’s quality of life. Nevertheless, the heterogenous and resource-constrained characteristics of IoMT networks make them vulnerable to a wide range of threats. Thus, novel security mechanisms, such as accurate and efficient anomaly-based intrusion detection systems (AIDSs), considering the inherent limitations of the IoMT networks, need to be developed before IoMT networks reach their full potential in the market. Towards this direction, in this paper, we propose an efficient and effective anomaly-based intrusion detection system (AIDS) for IoMT networks. The proposed AIDS aims to leverage host-based and network-based techniques to reliably collect log files from the IoMT devices and the gateway, as well as traffic from the IoMT edge network, while taking into consideration the computational cost. The proposed AIDS is to rely on machine learning (ML) techniques, considering the computation overhead, in order to detect abnormalities in the collected data and thus identify malicious incidents in the IoMT network. A set of six popular ML algorithms was tested and evaluated for anomaly detection in the proposed AIDS, and the evaluation results showed which of them are the most suitable

Prototyping an anomaly-based intrusion detection system for Internet of Medical Things Networks

Over the past few years, the Internet of Things (IoT) is transforming the healthcare sector through the introduction of the Internet of Medical Things (IoMT) technology, whose purpose is the improvement of the patient's quality of life. Nevertheless, IoMT networks are still vulnerable to a wide range of threats because of their heterogeneity and resource-constrained characteristics. Thus, novel security mechanisms, such as accurate and efficient anomaly-based intrusion detection systems (AIDSs), taking into consideration the inherent limitations of the IoMT networks, are required to be developed before IoMT networks reach their full potential in the market. In our previous work, we presented the system architecture for a novel hybrid AIDS for IoMT networks. In this paper, we expand it by presenting details of the implementation process that led to a prototype of the proposed AIDS. Our target is this work to serve as a guidance for other researchers or engineers to develop their own specific implementations of AIDSs for IoMT networks