Factored Sampling Tracking: Comparison of the Kalman and the Condensation Algorithms for Missile Tracking in a Defense Target Environment

2004 ◽  
Author(s):  
Ahmad Kamalvand ◽  
Paul MacDonald ◽  
Thai-Duong Tran
Keyword(s):  
Target Environment

scholarly journals Bridging Ride and Play Comfort

Information ◽  
2021 ◽  
Vol 12 (3) ◽  
pp. 119
Author(s):  
Zeliang Zhang ◽  
Kang Xiaohan ◽  
Mohd Nor Akmal Khalid ◽  
Hiroyuki Iida
Keyword(s):  
Physical Performance ◽  
Ride Comfort ◽  
Roller Coaster ◽  
Mental Experience ◽  
The Law ◽  
Target Environment ◽  
Rider Comfort ◽  
The Relationship ◽  
Suitable Environment ◽  
The Way

The notion of comfort with respect to rides, such as roller coasters, is typically addressed from the perspective of a physical ride, where the convenience of transportation is redefined to minimize risk and maximize thrill. As a popular form of entertainment, roller coasters sit at the nexus of rides and games, providing a suitable environment to measure both mental and physical experiences of rider comfort. In this paper, the way risk and comfort affect such experiences is investigated, and the connection between play comfort and ride comfort is explored. A roller coaster ride simulation is adopted as the target environment for this research, which combines the feeling of being thrill and comfort simultaneously. At the same time, this paper also expands research on roller coaster rides while bridging the rides and games via the analogy of the law of physics, a concept currently known as motion in mind. This study’s contribution involves a roller coaster ride model, which provides an extended understanding of the relationship between physical performance and the mental experience relative to the concept of motion in mind while establishing critical criteria for a comfortable experience of both the ride and play.

scholarly journals Deep Q-Learning for Two-Hop Communications of Drone Base Stations

Sensors ◽  
2021 ◽  
Vol 21 (6) ◽  
pp. 1960
Author(s):  
Azade Fotouhi ◽  
Ming Ding ◽  
Mahbub Hassan
Keyword(s):  
Degrees Of Freedom ◽  
Network Performance ◽  
Learning Model ◽  
Base Stations ◽  
Communication Model ◽  
Complex Environments ◽  
End User ◽  
Q Learning ◽  
Trajectory Simulation ◽  
Target Environment

In this paper, we address the application of the flying Drone Base Stations (DBS) in order to improve the network performance. Given the high degrees of freedom of a DBS, it can change its position and adapt its trajectory according to the users movements and the target environment. A two-hop communication model, between an end-user and a macrocell through a DBS, is studied in this work. We propose Q-learning and Deep Q-learning based solutions to optimize the drone’s trajectory. Simulation results show that, by employing our proposed models, the drone can autonomously fly and adapts its mobility according to the users’ movements. Additionally, the Deep Q-learning model outperforms the Q-learning model and can be applied in more complex environments.

Genomic composition of 4x–2x potato hybrids: influence of Solanum chacoense

Genome ◽  
1991 ◽  
Vol 34 (3) ◽  
pp. 413-420 ◽  
Author(s):  
Fouzia Bani-Aameur ◽  
F. I. Lauer ◽  
R. E. Veilleux ◽  
A. Hilali
Keyword(s):  
Solanum Tuberosum ◽  
Interspecific Hybrids ◽  
Tuber Yield ◽  
Solanum Chacoense ◽  
Solanum Phureja ◽  
2N Pollen ◽  
Fall Season ◽  
Tuber Set ◽  
Target Environment ◽  
Breeding Selections

Tetraploid potato hybrids representing three genomic compositions (TTTT, TTPP, and TTPC (T, Solanum tuberosum; P, Solanum phureja; C, Solanum chacoense)) were constructed by crossing S. tuberosum (2n = 4x = 48) cultivars or advanced breeding selections among themselves or with 2n pollen producing selections of either S. phureja (2n = 2x = 24) or F1 hybrids between S. phureja and S. chacoense (2n = 2x = 24). Seedling families were evaluated in the fall season and selections within each family were evaluated in spring trials at Ait-Melloul, Morocco. Genomic composition was the greatest source of variance for yield-attributing traits, with TTPC outperforming other hybrids in fall trials for vine vigor, tuber set, and tuber yield and TTPP outperforming other hybrids in spring trials for the same traits. The results imply that analytic breeding for potato by construction of complex interspecific hybrids may result in clones surpassing a previously proposed heterotic threshold if the target environment is conducive to expression of favorable traits from alien germ plasm.Key words: Solanum phureja, Solanum chacoense, Solanum tuberosum, 4x–2x hybrids, potato, analytic breeding.

Estimation of the Automated Video Control Device’s Target Functions Performance Probability

2021 ◽  
Vol 26 (3-4) ◽  
pp. 291-301
Author(s):  
N.V. Stepanov ◽  
Keyword(s):  
Estimation Method ◽  
Target Function ◽  
Video Camera ◽  
Optimal Receiver ◽  
Efficiency Estimation ◽  
Use Efficiency ◽  
Target Environment ◽  
Receiver Model ◽  
Video Control

Operating quality of automated video control systems depends on optical specifications of video camera and peculiar features of video algorithm. Specified target function performance probability can serve as criterion of automated video control use efficiency. In this work, a new performance efficiency estimation method for automated equipment of target environment video control is suggested: to estimate the probability of target functions’ (object detection, capture, and auto tracking) performance. Theoretical prediction of target functions performance probability was built upon Johnson’s criterion and the use of optimal receiver model. The results of suggested method’s experimental verification have shown that target detection occurred when signal/noise ratio level was above 6. This level can be regarded as low value to ensure that object is detected with probability 0.9.

scholarly journals Combining ability and heterotic value of ten lines maize genotypes tolerant to tidal-swamp soil stress

2021 ◽  
Vol 911 (1) ◽  
pp. 012024
Author(s):  
Suwarti ◽  
Munif Ghulamahdi ◽  
Muhammad Azrai ◽  
Didy Sopandi ◽  
Trikoesoemaningtyas ◽  
...  
Keyword(s):  
Grain Yield ◽  
Block Design ◽  
Parental Line ◽  
Research Station ◽  
Acid Sulphate Soils ◽  
Tidal Swamp ◽  
Maize Genotypes ◽  
Randomized Complete Block Design ◽  
Target Environment ◽  
Half Diallel

Abstract Development of maize hybrid for tidal swampland was initiated by selecting and combinate some superior line genotypes that tolerate to the restrictions in target environment. This study aimed was to evaluate the capability of ten maize lines result of selection on tidal swamp acid sulphate soils to obtain GCU, GCA, and heterosis values based on parental yield averages. The experiment has consisted of ten fine line genotypes which have selected in 2019 at the tidal swamp. Each parent was crossed in half-diallel combination, resulting in 46 entries, including the inbred parents. The entries were planted in a randomized complete block design with three replications. The research was conducted on Bajeng Research Station Experiment 5°18’S and 119°30’E from September 2020 to January 2021. The result shows that GCA ability and SCA ability was significant to yield in the form of grain (15% moisture content), the number of ear per plot, ten ear weight, ten corncob weight, ear harvested weight, 1000 seeds weight, plant height, ear length and the number of seed per ear. Grain yield of W6xW9 crosses obtains the highest value of 9.36 tha−1, non-significantly different to hybrid check P35 (9.35 tha-1). The highest GCA value in the grain yield character was obtained on W9 parental line (0.64**). The highest SCA was obtained on the crossing of W7 x W8 (2.61). The highest heterosis value was revealed in W5 x W10 hybrid (4.80). However, W7 x W8 crossing heterosis value was 2.34, indicate that a high SCA effect did not usually generate high heterosis. To perform high heterosis value, W10 was good as female parental.

scholarly journals Disentangling the clinical data chaos: User-centered interface system design for trauma centers

PLoS ONE ◽  
2021 ◽  
Vol 16 (5) ◽  
pp. e0251140
Author(s):  
JaeYeon Park ◽  
Soyoung Rhim ◽  
Kyungsik Han ◽  
JeongGil Ko
Keyword(s):  
Clinical Data ◽  
Trauma Center ◽  
User Study ◽  
Working Environment ◽  
Center Staff ◽  
Staff Members ◽  
Clinical Nurses ◽  
Interface System ◽  
Target Environment ◽  
User Centered

This paper presents a year-long study of our project, aiming at (1) understanding the work practices of clinical staff in trauma intensive care units (TICUs) at a trauma center, with respect to their usage of clinical data interface systems, and (2) developing and evaluating an intuitive and user-centered clinical data interface system for their TICU environments. Based on a long-term field study in an urban trauma center that involved observation-, interview-, and survey-based studies to understand our target users and their working environment, we designed and implemented MediSenseView as a working prototype. MediSenseView is a clinical-data interface system, which was developed through the identification of three core challenges of existing interface system use in a trauma care unit—device separation, usage inefficiency, and system immobility—from the perspectives of three staff groups in our target environment (i.e., doctors, clinical nurses and research nurses), and through an iterative design study. The results from our pilot deployment of MediSenseView and a user study performed with 28 trauma center staff members highlight their work efficiency and satisfaction with MediSenseView compared to existing clinical data interface systems in the hospital.

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