2017 IEEE 37th International Conference on Electronics and Nanotechnology (ELNANO)最新文献_第9页

Mathematical model of the microelectronic oscillator based on the BJT-MOSFET structure with negative differential resistance 基于负差分电阻BJT-MOSFET结构的微电子振荡器数学模型

2017 IEEE 37th International Conference on Electronics and Nanotechnology (ELNANO) Pub Date : 2017-04-01 DOI: 10.1109/ELNANO.2017.7939736

A. Semenov

引用次数: 5

Optimal radiometric detection of band-limited noise signal 带限噪声信号的最佳辐射检测

2017 IEEE 37th International Conference on Electronics and Nanotechnology (ELNANO) Pub Date : 2017-04-01 DOI: 10.1109/ELNANO.2017.7939805

V. Volosyuk, V. Pavlikov, S. Zhyla, O. V. Odokienko

引用次数: 2

AR.Drone as a platform for measurements 无人机作为测量平台

2017 IEEE 37th International Conference on Electronics and Nanotechnology (ELNANO) Pub Date : 2017-04-01 DOI: 10.1109/ELNANO.2017.7939812

A. Koval, Eloy Irigoyen, Tetyana Koval

引用次数: 10

Low power bioimpedance tracking system for stress and activity monitoring 用于应力和活动监测的低功耗生物阻抗跟踪系统

2017 IEEE 37th International Conference on Electronics and Nanotechnology (ELNANO) Pub Date : 2017-04-01 DOI: 10.1109/ELNANO.2017.7939764

I. Kukharenko, V. Kotovskyi

引用次数: 4

Paraelectricity and paramagnetism in thermostable microwave dielectrics 热稳定微波介质中的顺电和顺磁

2017 IEEE 37th International Conference on Electronics and Nanotechnology (ELNANO) Pub Date : 2017-04-01 DOI: 10.1109/ELNANO.2017.7939711

Y. Didenko, D. Tatarchuk, V. Molchanov, Y. Poplavko

引用次数: 1

A hybrid tool on denoising and enhancement of abdominal CT images before organ & tumour segmentation 在器官和肿瘤分割前腹部CT图像去噪和增强的混合工具

2017 IEEE 37th International Conference on Electronics and Nanotechnology (ELNANO) Pub Date : 2017-04-01 DOI: 10.1109/ELNANO.2017.7939757

Hasan Koyuncu, R. Ceylan

{"title":"A hybrid tool on denoising and enhancement of abdominal CT images before organ & tumour segmentation","authors":"Hasan Koyuncu, R. Ceylan","doi":"10.1109/ELNANO.2017.7939757","DOIUrl":"https://doi.org/10.1109/ELNANO.2017.7939757","url":null,"abstract":"Most of abdominal CT images include Gaussian noise, and CT scans form a blurry vision because of the internal fat tissue inside of abdomen. These two handicaps (noise and fat tissue) constitute an impediment in front of an accurate abdominal organ & tumour segmentation. Also segmentation techniques generally fall into error on segmentation of close grayscale regions. Therefore, denoising and enhancement parts are crucial for better segmentation results on CT images. In this paper, we form a tool including three efficient algorithms for the purpose of image enhancement before abdominal organ & tumour segmentation. At first, the denoising process is realized by Block Matching and 3D Filtering (BM3D) algorithm for elimination of Gaussian noise stated in arterial phase CT images. At second, Fast Linking Spiking Cortical Model (FL-SCM) is used for removing the internal fat tissue. At last, Otsu algorithm is processed to remove the redundant parts within the image. In experiments, Peak Signal-to-Noise Ratio (PSNR) and Structural Similarity (SSIM) index are used to evaluate the performance of proposed method, and a visual comparison is presented. According to results, it is seen that proposed tool obtains the best PSNR and SSIM values in comparison with two steps of pipeline (FL-SCM and BM3D & FL-SCM). Consequently, BM3D & FL-SCM & Otsu (BFO) ensures a clean abdomen particularly for segmentation of liver, spleen, pancreas, adrenal tumours, aorta, ribs, spinal cord and kidneys.","PeriodicalId":333746,"journal":{"name":"2017 IEEE 37th International Conference on Electronics and Nanotechnology (ELNANO)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133761765","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 9

MEMS and 3D-printing microthrusters technology integrated with hydroxide-based nanoenergetic propellants MEMS和3d打印微推进器技术与氢氧化物基纳米推进剂集成

2017 IEEE 37th International Conference on Electronics and Nanotechnology (ELNANO) Pub Date : 2017-04-01 DOI: 10.1109/ELNANO.2017.7939717

I. Puchades, L. Fuller, S. Lyshevski, M. Hobosyan, Liu Ting, K. Martirosyan

{"title":"MEMS and 3D-printing microthrusters technology integrated with hydroxide-based nanoenergetic propellants","authors":"I. Puchades, L. Fuller, S. Lyshevski, M. Hobosyan, Liu Ting, K. Martirosyan","doi":"10.1109/ELNANO.2017.7939717","DOIUrl":"https://doi.org/10.1109/ELNANO.2017.7939717","url":null,"abstract":"This paper provides fundamental and engineering design principals of integrated microthrusters and microthruster arrays. The microsystems fabrication, synthesis of nanoenergetic propellants, system integration and other problems are addressed and solved. The motion and solid-state sensors can be integrated to measure physical quantities. Sensor data fusion, data acquisition, logics, control and other functions can be performed by integrated modular paradigm. For aerial vehicles and propulsion platforms, applying micro- and nanotechnologies, high thrust to weight ratio, energy density and specific impulse are ensured by high-energy nanostructured composites. The solid propellants are encapsulated in the etched voids. We developed nanostructured energetic composites based of bismuth hydroxide and aluminum nanoparticles that generate high temperature, heat, pressure and adequate gas flow. The experimental confirmation, validation and characterization of fabricated proof of concept MEMS and 3D-printing microthruster and microthrusters arrays with hydroxide nanoenergeticss propellants are reported. The sensing solutions are examined and the experimental results are described.","PeriodicalId":333746,"journal":{"name":"2017 IEEE 37th International Conference on Electronics and Nanotechnology (ELNANO)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116433651","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 8

Determination method of water-glucose solution concentration at microwaves 微波法测定水-葡萄糖溶液浓度

2017 IEEE 37th International Conference on Electronics and Nanotechnology (ELNANO) Pub Date : 2017-04-01 DOI: 10.1109/ELNANO.2017.7939759

Z. Eremenko, E. Kuznetsova, A. I. Shubnyi, V. Glamazdin, M. Natarov

引用次数: 1

Simulation of action potential in cardiomyocytes 模拟心肌细胞的动作电位

2017 IEEE 37th International Conference on Electronics and Nanotechnology (ELNANO) Pub Date : 2017-04-01 DOI: 10.1109/ELNANO.2017.7939777

K. Ivanko, N. Ivanushkina, Y. Prokopenko

引用次数: 5

On peculiarities of evaluating the quality of speech and music signals subjected to phase distortion 相位失真下语音和音乐信号质量评价的特点

2017 IEEE 37th International Conference on Electronics and Nanotechnology (ELNANO) Pub Date : 2017-04-01 DOI: 10.1109/ELNANO.2017.7939796

A. Prodeus, Vitalii Didkovskyi, M. Didkovska, I. Kotvytskyi

引用次数: 3