AIR-TO-AIR MISSILE GUIDANCE FOR NONMANEUVERABLE TARGET INTERCEPTION AT MAXIMUM DISTANCE

2018 ◽  
Vol 49 (7) ◽  
pp. 753-770
Author(s):  
Leonid Ayzikovich Bilich ◽  
Sergey Alekseyevich Lyovin ◽  
Vladlena Vladlenovna Ostapova
2004 ◽  
Vol 171 (4S) ◽  
pp. 51-51
Author(s):  
Roger E. De Filippo ◽  
Hans G. Pohl ◽  
James J. Yoo ◽  
Anthony Atala

2018 ◽  
Vol 43 (1-4) ◽  
pp. 13-45
Author(s):  
Prof. P. L. Sharma ◽  
◽  
Mr. Arun Kumar ◽  
Mrs. Shalini Gupta ◽  
◽  
...  

2017 ◽  
Vol 3 (2) ◽  
pp. 76
Author(s):  
Octarina Nur Samijayani ◽  
Ibnu Fauzi

<p><em>Abstrak</em> - <strong>Keamanan rumah menjadi hal yang sangat penting ketika pemilik rumah meninggalkan rumah dalam keadaan kosong. Selain pencurian, kebakaran juga merupakan masalah yang sering kali terjadi ketika rumah ditinggal pemiliknya. Sebagai alternatif solusi untuk menjaga dan mengawasi rumah yang diajukan pada penelitian ini ialah menggunakan teknologi Jaringan Sensor Nirkabel yang terintegrasi dengan jaringan internet, sehingga pemilik rumah tetap dapat mengawasi keadaan rumah dari jarak jauh. Pada penelitian ini dirancang prototype sistem rumah pintar atau Smart Home yang memanfaatkan teknologi Jaringan Sensor Nirkabel menggunakan standard Zigbee. Beberapa node sensor ditempatkan pada peralatan rumah, dimana setiap node dapat saling berkomunikasi secara wireless dan terpusat di node kordinator. Selanjutnya node kordinatior akan terhubung ke jaringan internet sehingga pemilik rumah dapat membuka aplikasi smart home kapan saja dan dimana saja. Rancangan sistem <em>Smart Home</em> disimulasikan menggunakan rumah model untuk menguji kinerja perangkat <em>Smart Home</em>. Pengujian kinerja Smart Home dimulai dengan pengujian keakurasian masing masing data sensor hingga waktu respon komunikasi dari sensor ke pusat monitoring. Tingkat error pembacaan suhu disetiap ruangan ialah 1 - 4.27%. Sensor PIR berhasil mendeteksi keberadaan orang di suatu ruangan dengan waktu delay </strong><strong>adalah 2.8 detik dengan jarak maksimal 5 meter</strong><strong>. Fungsi kendali dan monitoring (<em>on/off</em>) perangkat elektronik bekerja dengan baik, dengan waktu respon kurang dari 1 detik. Dari hasil pengujian komunikasi nirkabel antar node, diperoleh bahwa jarak maksimal antar node ialah sekitar 20 m, dengan rata-rata waktu respon pengiriman data ialah 1-2 detik. Adapun waktu respon mengalami delay mencapai 2 detik apabila beberapa perintah kendali dilakukan pada waktu yang bersamaan.</strong></p><p> </p><p><strong><em>Kata Kunci - </em></strong><em>Smart Home</em>, Jaringan Sensor Nirkabel, Zigbee.</p><p> </p><p><em>Abstrak</em><strong> - Home security becomes very important when homeowners leave the house empty. In addition to theft, fire is also a problem that often occurs when the house left the owner. As an alternative solution to maintain and supervise the homes submitted in this study is to use Wireless Sensor Network technology integrated with the Internet network, so that homeowners can still monitor the state of the house remotely. In this study designed prototype smart home system or Smart Home which utilizes Wireless Sensor Network technology using Zigbee standard. Some sensor nodes are placed in the home equipment, where each node can communicate wirelessly and centrally at the coordinator node. Next node coordinate will be connected to the internet network so that homeowners can open smart home application anytime and anywhere. The Smart Home system design is simulated using a home model to test the performance of Smart Home devices. Smart Home performance testing begins with testing the accuracy of each sensor data until the communication response time from the sensor to the monitoring center. The error rate of temperature readings in each room is 1 - 4.27%. PIR sensor successfully detects the presence of people in a room with a delay time is 2.8 seconds with a maximum distance of 5 meters. The control and monitoring functions (on / off) of electronic devices work well, with a response time of less than 1 second. From the results of testing wireless communication between nodes, obtained that the maximum distance between nodes is about 20 m, with the average response time of data transmission is 1-2 seconds. The response time has a delay of 2 seconds if some control commands are done at the same time.</strong><strong></strong></p><p><strong> </strong></p><p><strong><em>Keywords - </em></strong> <em>Smart Home</em>, Jaringan Sensor Nirkabel, Zigbee.</p>


2021 ◽  
Vol 22 (Supplement_1) ◽  
Author(s):  
P Silverio Antonio ◽  
T Rodrigues ◽  
R Santos ◽  
A Nunes-Ferreira ◽  
N Cunha ◽  
...  

Abstract Funding Acknowledgements Type of funding sources: None. Introduction Mitral valve prolapse (MVP) is one of the most frequent causes of mitral valve disease in developed countries, traditionally with a benign prognosis, however some patients develop arrythmias and significant mitral regurgitation (MR) with need of intervention. Herein our purpose was to establish clinical, electrocardiographic and echocardiographic predictors of arrythmias, mitral valve intervention (MVI) and hospitalization in MVP patients to better characterize the prognosis in these patients. Methods  Single-center retrospective study of consecutive patients with MVP documented in transthoracic echocardiogram between January 2014 and October 2019. MVP was defined as systolic displacement of the mitral leaflet into the left atrium ≥ 2 mm from the mitral annular plane. Demographic, clinical, echocardiographic, electrocardiographic data were collected as well as adverse events at follow-up. The results were obtained using Chi-square and Student-t tests; predictors were found with logistic regression. Results  247 patients were included (mean age 62.9 ± 18 years, 61% males), most with MVP involving the posterior leaflet (48.6%). 40% were symptomatic, 47.4% had more than moderate MR, and 25% had interventricular conduction delay in the ECG. During a mean follow-up of 30 ± 19 months, 38% had arrythmias, 27.1% needed mitral valve intervention (95% surgery and 5% percutaneous), 27.1% had atrial fibrillation (AF), 3.4% had ventricular arrythmias, 19.2% had ventricular premature beats, 13.3% had hospital admission for cardiovascular cause and 8.5% (n = 21) died. 9.3% of the patients had mitral annulus disjunction (MAD). Palpitations (p = 0.018), AF (p &lt; 0.001), significant MR (p &lt; 0.001), higher NYHA class (p = 0.016), systolic pulmonary artery pressure (SPAP) (p &lt; 0.001), LV mass (p &lt; 0.001), QTc (p = 0.01) and MAD maximum distance (p = 0.02) associated with MVI. MAD maximum distance value presented an excellent capacity to predict the MVI (AUC 0.85 p = 0.019); the best cut-off was 11,5 mm (Sens = 80%; Spec = 83%). AF was a predictor of hospitalization in univariate analysis (OR = 2.57, CI95% 1.15-5.75, p = 0.022). Regarding arrhythmic events, we found association with aortic root dilatation (p = 0.032), NYHA III-IV (p = 0.013), age and LV mass (both with p &lt; 0.001). In multivariate analysis, LV mass (OR = 1.02, CI95% 1.005-1.027, p = 0.005) and age (OR = 1.038, CI95% 1.004-1.053, p = 0.021) were independent predictors of arrythmias. In this sample, MAD was not associated with arrythmias. Conclusion  Opposing to previous studies in our population, MAD was not associated with arrythmias but had an excellent capacity to predict MVI. Age and LV hypertrophy were independent predictors of arrythmias in our patients. Larger studies are needed to better stratify patients with MVP, as its association with arrhythmias, hospitalization and the need for intervention is not negligible.


Sign in / Sign up

Export Citation Format

Share Document