scholarly journals Pacing failure caused by automatic pacing threshold adjustment system

2017 ◽  
Vol 33 (6) ◽  
pp. 637-639
Author(s):  
Jun Kishihara ◽  
Shinichi Niwano ◽  
Hidehira Fukaya ◽  
Ryo Nishinarita ◽  
Ai Horiguchi ◽  
...  
Keyword(s):  
Pacing Threshold ◽  
Threshold Adjustment ◽  
Adjustment System

scholarly journals 216-36: A Case with Pacing Failure due to the Pitfall of Automatic Pacing Threshold Adjustment

EP Europace ◽  
2016 ◽  
Vol 18 (suppl_1) ◽  
pp. i150-i150
Author(s):  
Jun Kishihara ◽  
Shinichi Niwano ◽  
Hidehira Fukaya ◽  
Ryo Nishinarita ◽  
Ai Horiguchi ◽  
...  
Keyword(s):  
Pacing Threshold ◽  
Threshold Adjustment

Perancangan Sistem Kontrol Lampu Lalulintas Cerdas Dengan Menggunakan Mikrokontroler dan Kamera

Jurnal MIPA ◽  
2019 ◽  
Vol 8 (3) ◽  
pp. 200
Author(s):  
Tjerie Pangemanan ◽  
Arnold Rondonuwu
Keyword(s):  
Real Time ◽  
Digital Image ◽  
Red Light ◽  
Green Light ◽  
Processing Method ◽  
Traffic Lights ◽  
Traffic System ◽  
Road Users ◽  
Adjustment System ◽  
System Time

Masalah lalu lintas  merupakan salah satu  masalah yang sangat sulit diatasi dengan hanya menggunakan system waktu (timer). Oleh sebab itu diperlukan suatu system pengaturan otomatis yang bersifat real-time sehingga waktu pengaturan lampu lalu lintas dapat disesuaikan dnegan keadaan di lapangan. Penelitian ini bertujuan mengembangkan suatu simulasi sistem yang mampu mengestimasi panjang antrian kendaraan menggunakan metoda pengolahan citra digital hanya dengan menggunakan satu kamera untuk dijadikan parameter masukan  dalam menghitung lama waktu nyala lampu merah dan lampu hijau. Oleh karena itu, sistem lalulintas sangatlah diperlukan, sebagai sarana dan prasarana untuk menjadikan lalulintas lancar, aman, bahkan sebagai media pembelajaran disiplin bagi masyarakat pengguna jalan raya. Penelitian ini penulis menggunakan sistem pengontrolan berbasis citra digital dimana camera sebagai sensor. Untuk aplikasi dari  semua metode dalam penelitian ini digunakan Microcontroller AurdinoTraffic problems is one of the problems that is very difficult to overcome by only using the system time (timer). Therefore we need an automatic real-time adjustment system so that the time settings for traffic lights can be adjusted according to the conditions on the ground. This study aims to develop a system simulation that is able to estimate the length of the vehicle queue using a digital image processing method using only one camera to be used as input parameters in calculating the length of time the red light and green light. Therefore, the traffic system is very necessary, as a means and infrastructure to make traffic smooth, safe, even as a medium for disciplined learning for road users. In this study the authors used a digital image-based control system where the camera as a sensor. For the application of all methods in this study, Aurdino Microcontroller is used

Bayesian approach to discriminant problems for count data with application to multilocus short tandem repeat dataset

2020 ◽  
Vol 19 (2) ◽  
Author(s):  
Koji Tsukuda ◽  
Shuhei Mano ◽  
Toshimichi Yamamoto
Keyword(s):  
Sample Size ◽  
Classification Accuracy ◽  
Tandem Repeats ◽  
Bayes Factor ◽  
Characteristic Curve ◽  
Geometric Mean ◽  
Previous Method ◽  
Threshold Adjustment ◽  
Two Populations ◽  
Short Tandem

AbstractShort Tandem Repeats (STRs) are a type of DNA polymorphism. This study considers discriminant analysis to determine the population of test individuals using an STR database containing the lengths of STRs observed at more than one locus. The discriminant method based on the Bayes factor is discussed and an improved method is proposed. The main issues are to develop a method that is relatively robust to sample size imbalance, identify a procedure to select loci, and treat the parameter in the prior distribution. A previous study achieved a classification accuracy of 0.748 for the g-mean (geometric mean of classification accuracies for two populations) and 0.867 for the AUC (area under the receiver operating characteristic curve). We improve the maximum values for the g-mean to 0.830 and the AUC to 0.935. Computer simulations indicate that the previous method is susceptible to sample size imbalance, whereas the proposed method is more robust while achieving almost identical classification accuracy. Furthermore, the results confirm that threshold adjustment is an effective countermeasure to sample size imbalance.

Methods of Discontinuous Control for the Autonomous Underwater Vehicles

2013 ◽  
Vol 278-280 ◽  
pp. 1473-1476
Author(s):  
Alexander Lebedev
Keyword(s):  
Reference Model ◽  
Sliding Mode ◽  
Autonomous Underwater Vehicles ◽  
Variable Structure ◽  
Underwater Vehicles ◽  
Adjustment Process ◽  
Centralized Control ◽  
Reciprocal Effect ◽  
Discontinuous Control ◽  
Adjustment System

New methods of the synthesis of multi-dimensional robust and adaptive control systems for the centralized control of the spatial motion of autonomous underwater vehicles (AUV) is developed in this paper, such as variable structure system (VSS) and self-adjustment system with reference model. The conditions of the sliding mode existence and the self-adjustment process stability with the presence of essential dynamic reciprocal effect between all control channels are obtained and strictly proved. The application of synthesized discontinuous control provides the high control quality at any variations of the object parameters within the given ranges.

An automatic adjustment system for the optical head of a magnetooptical disk drive

1999 ◽  
Vol 30 (10) ◽  
pp. 1-12
Author(s):  
Jun Matsueda ◽  
Fujio Oosawa ◽  
Kazumi Sutou ◽  
Takahiro Kikuchi ◽  
Michio Tamano ◽  
...  
Keyword(s):  
Disk Drive ◽  
Automatic Adjustment ◽  
Optical Head ◽  
Adjustment System

scholarly journals When Differential Pacing Is Not Enough to Assess Mitral Isthmus Block: Importance of the Pacing Threshold

2011 ◽  
Vol 23 (3) ◽  
pp. 336-338
Author(s):  
PATRIZIO PASCALE ◽  
ASHOK J. SHAH ◽  
LAURENT ROTEN ◽  
PIERRE JAIS ◽  
SEBASTIEN KNECHT
Keyword(s):  
Pacing Threshold ◽  
Mitral Isthmus ◽  
Isthmus Block
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