Eva Shockey joins'Tomi Lahren Is Fearless,' discusses hunting and eating bears: 'Not my favorite' Alaska moose hunter miraculously survives ambush brown bear attack, says he'blacked out' Ella Langley's viral performance with Muscadine Bloodline at Penn State takes over the internet Lioness season 3 episode 7 delivers Joe's rescue in a gunfight fans won't stop talking about Viral video shows bystanders warning elderly man who has no clue he's being followed by a huge black bear Henry Winkler's wife says the actor tends to exaggerate about the size of his ... fish Zoe Saldaña shares behind the scenes Instagram posts from brutal'Lioness' torture scene Bear tries to steal one too many fish off of fisherman's line, gets charged at with pole in hand Riley Green drops acoustic'My Way' video as fans await'That's Just Me' album release Trump Butler rally shooting could be sign of a'larger conspiracy': Former deputy assistant AG Sheriff decries Democrat's'disgusting display' at House hearing on sanctuary laws Sheriff decries Democrat's'disgusting display' at House hearing on sanctuary laws Sheriff calls Democrat's questioning at House hearing a'disgusting display' It's urgent for Congress to step in and protect college sports: Sen Ted Cruz Mike Pence warns this Trump move would send a'deafening' message to Putin'COMPLETE WASTE OF MONEY': Real estate celebrity calls out $200,000 housing mistake Rand Paul slams Congress over AI regulation: 'I wouldn't put Congress in charge of a McDonald's' Rand Paul slams Congress over AI regulation: 'I wouldn't put Congress in charge of a McDonald's' Ed Sheeran responds to Macklemore backlash amid'Free Palestine' controversy NASCAR star Denny Hamlin tells OutKick Outdoors how fishing with professional angler Chris Zaldain has helped accelerate his learning curve and improve his skills on the water. A man from Westerly, Rhode Island was out on a family hike in Colorado a couple of weeks ago when he, his wife and his son came face-to-face with a momma moose and her baby. Dean and Rosemary Felicetti were in Colorado visiting their son Gabriel when they decided to go on a hike, reports WJAR . They visited a lake and had their feet in the water before heading back. Dense stands of spruce and fir climb the lower slopes while aspen and tall grass line the near shoreline on a cloudy summer day.

--This paper reports the development of a new open-access modular framework, called Marine V ehicle Packages (MVP), for Autonomous Underwater V ehicles. The framework consists of both software and hardware designs allowing easy construction of AUV for research with increased customizability and sufficient payload capacity. This paper will present the scalable hardware system design and the modular software design architecture. New features, such as articulated thruster integration and high-level Graphic User Interface will be discussed. Both simulation and field experiments results are shown to highlight the performance and compatibility of the MVP . Autonomous underwater vehicle is a growing area since they are great tools for ocean research and defense purposes. Commercial-off-the-shelf (COTS) AUVs are supplied with proprietary software are great when they are used as an equipment for collecting scientific data, e.g., survey the seabed and profile the water column.

Robotic underwater systems, e.g., Autonomous Underwater Vehicles (AUVs) and Remotely Operated Vehicles (ROVs), are promising tools for collecting biogeochemical data at the ice-water interface for scientific advancements. However, state estimation, i.e., localization, is a well-known problem for robotic systems, especially, for the ones that travel underwater. In this paper, we present a tightly-coupled multi-sensors fusion framework to increase localization accuracy that is robust to sensor failure. Visual images, Doppler Velocity Log (DVL), Inertial Measurement Unit (IMU) and Pressure sensor are integrated into the state-of-art Multi-State Constraint Kalman Filter (MSCKF) for state estimation. Besides that a new keyframe-based state clone mechanism and a new DVL-aided feature enhancement are presented to further improve the localization performance. The proposed method is validated with a data set collected in the field under frozen ice, and the result is compared with 6 other different sensor fusion setups. Overall, the result with the keyframe enabled and DVL-aided feature enhancement yields the best performance with a Root-mean-square error of less than 2 m compared to the ground truth path with a total traveling distance of about 200 m.

Factor analysis or sometimes referred to as variable analysis has been extensively used in classification problems for identifying specific factors that are significant to particular classes. This type of analysis has been widely used in application such as customer segmentation, medical research, network traffic, image, and video classification. Today, factor analysis is prominently being used in fault diagnosis of machines to identify the significant factors and to study the root cause of a specific machine fault. The advantage of performing factor analysis in machine maintenance is to perform prescriptive analysis (helps answer what actions to take?) and preemptive analysis (helps answer how to eliminate the failure mode?). In this paper, a real case of an industrial rotating machine was considered where vibration and ambient temperature data was collected for monitoring the health of the machine. Gaussian mixture model-based clustering was used to cluster the data into significant groups, and spectrum analysis was used to diagnose each cluster to a specific state of the machine. The significant features that attribute to a particular mode of the machine were identified by using the random forest classification model. The significant features for specific modes of the machine were used to conclude that the clusters generated are distinct and have a unique set of significant features.

Four small rotors to take off and land, one big engine to fly through the sky. Could crowds design the drone of the future? European aviation giant Airbus and Arizona-based open-source manufacturing company Local Motors held a contest for designers across the world to create a new drone concept. This morning, they announced all the winners. Check out the Zelator, by Alexey Medvedev of Omsk, Russia, which won first place in the Airbus Main Prize.