Flight Board Research Articles

Out to explore the cybersecurity planet

PurposeSecurity ceremonies still fail despite decades of efforts by researchers and practitioners. Attacks are often a cunning amalgam of exploits for technical systems and of forms of human behaviour. For example, this is the case with the recent news headline of a large-scale attack against Electrum Bitcoin wallets, which manages to spread a malicious update of the wallet app. The author therefore sets out to look at things through a different lens.Design/methodology/approachThe author makes the (metaphorical) hypothesis that humans arrived on Earth along with security ceremonies from a very far planet, the Cybersecurity planet. The author’s hypothesis continues, in that studying (by huge telescopes) the surface of Cybersecurity in combination with the logical projection on that surface of what happens on Earth is beneficial for us earthlings.FindingsThe author has spotted four cities so far on the remote planet. Democratic City features security ceremonies that allow humans to follow personal paths of practice and, for example, make errors or be driven by emotions. By contrast, security ceremonies in Dictatorial City compel to comply, hence humans here behave like programmed automata. Security ceremonies in Beautiful City are so beautiful that humans just love to follow them precisely. Invisible City has security ceremonies that are not perceivable, hence humans feel like they never encounter any. Incidentally, the words “democratic” and “dictatorial” are used without any political connotation.Originality/valueA key argument the author shall develop is that all cities but Democratic City address the human factor, albeit in different ways. In the light of these findings, the author will also discuss security ceremonies of our planet, such as WhatsApp Web login and flight boarding, and explore room for improving them based upon the current understanding of Cybersecurity.

Phantom Bat for Military Applications

The aim of this project is to minimize the cause of death of military man and innocent people by gathering their secret informations . The Phantom bat act as spy because it looks similar like a bat. It is fixed with ESP 32 WIFI camera to monitor the activities of the enemies. This bat design does not create any doubt to the enemies we are watching. It flies using a BLDC motor. The BLDC motor help the bat to lift from the ground and allow it to fly in the sky by creating 3 flaps per second to the wings which is fixed with the body of the bat. The two servo motors are used to control altitude and direction. All the electronics components present in flight board are controlled by the Arduino pro micro which is connected with RF receiver. RF transmitter will act as a remote controller and control the operation of bat. Here mobile phone will act as a display for the camera which we used. This bat will play a major role in military to save life. In future it will work on its own by implementing Artificial Intelligence and does not need manual control for this bat.

Procedural Timeout Compliance Is Improved With Real-Time Clinical Decision Support

The goal of this study was to assess compliance with a presurgical safety checklist before and after the institution of a surgical flight board displaying a surgical safety checklist with embedded real-time clinical decision support (CDS). We hypothesized that the institution of a surgical flight board with embedded real-time data support would improve compliance with the presurgical safety checklist. In this prospective, observational trial, surgeon-led procedural timeout compliance for 300 procedures was studied. In phase I (PI), procedural timeouts were performed using a simple paper checklist. In phase II (PII), an electronic surgical flight board with an embedded safety checklist was installed in each operating room, but the timeout procedure consisted of the same paper process as in PI. In phase III (PIII), the flight board safety checklist was used. Ten procedures each from 10 surgeons were evaluated in each phase. Compliance was scored on a 12-point scale with each point representing a different item on the checklist. Timeout compliance in PI ranged from 4.5 to 8.6 and 8.75 to 12 in PIII. All 10 surgeons demonstrated statistically improved compliance from PI to PIII. Compliance was significantly improved in 8 of 12 safety check items. Decreased compliance was not seen with any checklist item. Of the items with CDS, compliance with procedure consent and special safety precautions improved from PI to PIII, as did compliance with display of essential imaging, critical events or concerns, and number of procedures (i.e., >1 surgeon performing procedures). Using the electronic medical record with real-time CDS improves compliance with presurgical safety checklists.

Real-Time Object Tracking on a Drone With Multi-Inertial Sensing Data

Real-time object tracking on a drone under a dynamic environment has been a challenging issue for many years, with existing approaches using off-line calculation or powerful computation units on board. This paper presents a new lightweight real-time onboard object tracking approach with multi-inertial sensing data, wherein a highly energy-efficient drone is built based on the Snapdragon flight board of Qualcomm. The flight board uses a digital signal processor core of the Snapdragon 801 processor to realize PX4 autopilot, an open-source autopilot system oriented toward inexpensive autonomous aircraft. It also uses an ARM core to realize Linux, robot operating systems, open-source computer vision library, and related algorithms. A lightweight moving object detection algorithm is proposed that extracts feature points in the video frame using the oriented FAST and rotated binary robust independent elementary features algorithm and adapts a local difference binary algorithm to construct the image binary descriptors. The K-nearest neighbor method is then used to match the image descriptors. Finally, an object tracking method is proposed that fuses inertial measurement unit data, global positioning system data, and the moving object detection results to calculate the relative position between coordinate systems of the object and the drone. All the algorithms are run on the Qualcomm platform in real time. Experimental results demonstrate the superior performance of our method over the state-of-the-art visual tracking method.