2021 2nd International Conference on Range Technology (ICORT)最新文献_第3页

7-Bit ChiplessTag for Ultra Wideband Applications 7位ChiplessTag超宽带应用

2021 2nd International Conference on Range Technology (ICORT) Pub Date : 2021-08-05 DOI: 10.1109/ICORT52730.2021.9581355

Pudi Hinduja, Durga Prasad Mishra, S. Behera

引用次数: 0

GPS-GLONASS combined position performance accuracy for Indian Defence Application 印度国防应用的GPS-GLONASS组合定位性能精度

2021 2nd International Conference on Range Technology (ICORT) Pub Date : 2021-08-05 DOI: 10.1109/ICORT52730.2021.9581541

Somnath Mahato, Mrinal Goswami, S. Kundu, A. Bose

引用次数: 1

Wearable Microstrip Patch Antenna for Disease Detection and WiMAX Application 用于疾病检测和WiMAX应用的可穿戴微带贴片天线

2021 2nd International Conference on Range Technology (ICORT) Pub Date : 2021-08-05 DOI: 10.1109/ICORT52730.2021.9582104

P. K. Patnaik, Murali Malijeddi, D. C. Panda

引用次数: 2

Gain Enhancement of Dual-Band Microstrip - Fed Antenna with complementary split ring resonators and rectangular slots embedded in Patch for Wireless Applications using Metamaterial Cell-Based Superstrate 基于超材料单元的贴片中嵌入互补分环谐振器和矩形槽的双频微带馈电天线增益增强

2021 2nd International Conference on Range Technology (ICORT) Pub Date : 2021-08-05 DOI: 10.1109/ICORT52730.2021.9581727

A. K. Choudhary, Sujit Barman, T. Moyra, Anjan Debnath, Anirban Bhattacharjee

{"title":"Gain Enhancement of Dual-Band Microstrip - Fed Antenna with complementary split ring resonators and rectangular slots embedded in Patch for Wireless Applications using Metamaterial Cell-Based Superstrate","authors":"A. K. Choudhary, Sujit Barman, T. Moyra, Anjan Debnath, Anirban Bhattacharjee","doi":"10.1109/ICORT52730.2021.9581727","DOIUrl":"https://doi.org/10.1109/ICORT52730.2021.9581727","url":null,"abstract":"In this paper, a simple design of dual-band microstrip patch antenna with complementary split ring resonator (CSRR) and rectangular slots are presented with Superstrate. Highly effective and a simple dual band antenna response can be obtained by placing a single CSRR unit cell on the patch of the conventional microstrip patch antenna along with the etching of two rectangular slots. The proposed Antenna has good performance at both the frequencies. The conventional patch initially deigned to operate at 10 GHz is tuned to operate at two resonant frequencies at 9.56 GHz and 19.48 GHz, which can be significantly useful for wireless applications. And the realized gain obtained at 9.56 GHz and 19.48 GHz using high frequency structure simulator (HFSS – 15) simulations are 6.09 dB and 8.49 dB. In this paper CSRR along with two rectangular slots are responsible for second band and superstrate is responsible for enhancing the gain of the antenna. The metamaterial superstrate layer consists of (5 × 5) array of split ring resonators placed on the top of the substrate. The negative effective permeability is due to the nresence of snlit ring resonators.","PeriodicalId":344816,"journal":{"name":"2021 2nd International Conference on Range Technology (ICORT)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115811735","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: 0

Bias Removal Blending to Create Panorama 偏见去除混合创建全景

2021 2nd International Conference on Range Technology (ICORT) Pub Date : 2021-08-05 DOI: 10.1109/ICORT52730.2021.9581902

S. Mahakud, Pradinta Roy

{"title":"Bias Removal Blending to Create Panorama","authors":"S. Mahakud, Pradinta Roy","doi":"10.1109/ICORT52730.2021.9581902","DOIUrl":"https://doi.org/10.1109/ICORT52730.2021.9581902","url":null,"abstract":"Robust feature extraction and image stitching to create a panorama is a challenging task with various applications in computer vision and robotics. In order to describe and get the best conceivable stitching, this paper put forward an approach of panoramic image stitching and blending process which is divided into three steps. SIFT feature extraction, feature matching and image blending to generate a seamless panorama. The stitched images to create a panorama that have significant illumination changes at the stitched line appear to be unnatural. An image blending algorithm is developed in this paper, based on minimizing sharp edge error by a weighted matrix to solve the problem. First, panorama is generated using feature space of SIFT, so that the images are to be stitched should have maximum crucial features, and performs the rough matching process, followed by RANSAC algorithm for fine matches. Finally applied the different image blending techniques between three images and our method successfully minimizes the error to have a uniform illumination over panorama. The results are compared with the two blending processes. Results are demonstrated by visual assessment and quantitatively by calculating normalized edges. Experimental results show that our algorithm is effective and able to make sharp changes disappear at image joins. This method will be very useful for tracking aerial target near launchpad with multiple fixed cameras with same Field of View.","PeriodicalId":344816,"journal":{"name":"2021 2nd International Conference on Range Technology (ICORT)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121553763","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: 0

Change Detection and Classification using Hyperspectral Imagery 基于高光谱图像的变化检测与分类

2021 2nd International Conference on Range Technology (ICORT) Pub Date : 2021-08-05 DOI: 10.1109/ICORT52730.2021.9582040

Indira Bidari, Satyadhyan Chickerur, Akshay Kulkarni, Anish Mahajan, Amogh Nikkam, Sumanth Akella

引用次数: 1

A Low Profile Four Element Dual-band Monopole Antenna for Pattern Diversity MIMO Applications 用于模式分集MIMO应用的低轮廓四元双带单极天线

2021 2nd International Conference on Range Technology (ICORT) Pub Date : 2021-08-05 DOI: 10.1109/ICORT52730.2021.9581840

Deven G. Patanvariya, A. Chatterjee

{"title":"A Low Profile Four Element Dual-band Monopole Antenna for Pattern Diversity MIMO Applications","authors":"Deven G. Patanvariya, A. Chatterjee","doi":"10.1109/ICORT52730.2021.9581840","DOIUrl":"https://doi.org/10.1109/ICORT52730.2021.9581840","url":null,"abstract":"In this paper, a low-profile four-element monopole antenna for dual-band multiple-input multiple-output (MIMO) configuration is presented. Dual-band characteristic has been achieved by loading inverted L-shaped monopoles with inverted E-shaped geometry, which generates a higher mode of resonating frequency. In the proposed MIMO configuration, the interelement isolation for both bands is more than 15 dB, which is achieved without any isolation improvement techniques. Due to the directional radiation patterns in both bands, the MIMO antenna exhibits pattern diversity. The proposed MIMO antenna has a compact size of 30 × 30 × 0.8 mm3. The performance of the proposed MIMO is simulated in terms of antenna parameters as well as diversity performances such as envelop correlation coefficient (ECC) < 0.1, diversity gain (DG) > 9.5 dB, mean effective gain ratio (MEG1/MEG2) ≈ 1 and total active reflection coefficient (TARC) < −10 dB in both the resonating bands. The isolation level is acceptable as well as good performance parameters which makes the proposed MIMO antenna a suitable candidate for high-density packing and massive MIMO applications.","PeriodicalId":344816,"journal":{"name":"2021 2nd International Conference on Range Technology (ICORT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129755880","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: 2

How tri-axial sensors influenced the location-based heterogeneous activities recognition rates: an exploratory analysis 三轴传感器如何影响基于位置的异质活动识别率:探索性分析

2021 2nd International Conference on Range Technology (ICORT) Pub Date : 2021-08-05 DOI: 10.1109/ICORT52730.2021.9581398

Prabhat Kumar, S. Snresh

{"title":"How tri-axial sensors influenced the location-based heterogeneous activities recognition rates: an exploratory analysis","authors":"Prabhat Kumar, S. Snresh","doi":"10.1109/ICORT52730.2021.9581398","DOIUrl":"https://doi.org/10.1109/ICORT52730.2021.9581398","url":null,"abstract":"Due to the successful enhancement of context-aware applications in health caring, surveillance, security, sports, behavior analysis, and more, the Human Activities Recognition (HAR) has been noted as an emerging research domain. In this paper, we proposed a deep learning-based novel ConvLSTM-HHAR (Convolutional Long short-term Memory-Heterogeneous Human Activities Recognition) model for the recognition of heterogeneous human activities in indoor and outdoor environments. For automatically extracting efficient features from raw sensor data and identifying activities, the proposed model utilizes the Convolutional Neural Network (CNN) and Long Short-Term Memory (LSTM), respectively. We have used the publicly availabel KU-HAR dataset as an experimental dataset which includes a total of eighteen activities (categorized as indoor and outdoor) of 90 subjects collected using a single tri-axial accelerometer and gyroscope sensor. The proposed model has achieved an average accuracy of 99.98%, F1-score of 93.34%, precision of 88.06%, and recall of 100.00% for indoor, outdoor, and indoor + outdoor activities.","PeriodicalId":344816,"journal":{"name":"2021 2nd International Conference on Range Technology (ICORT)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124605506","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: 0

A Bayesian Belief Network Model for Early Prediction of Reliability for Computer-Based Safety-Critical Systems 计算机安全关键系统可靠性早期预测的贝叶斯信念网络模型

2021 2nd International Conference on Range Technology (ICORT) Pub Date : 2021-08-05 DOI: 10.1109/ICORT52730.2021.9581624

Pramod Kumar, L. Singh, C. Kumar, Sushma Verma, Sanjay Kumar

{"title":"A Bayesian Belief Network Model for Early Prediction of Reliability for Computer-Based Safety-Critical Systems","authors":"Pramod Kumar, L. Singh, C. Kumar, Sushma Verma, Sanjay Kumar","doi":"10.1109/ICORT52730.2021.9581624","DOIUrl":"https://doi.org/10.1109/ICORT52730.2021.9581624","url":null,"abstract":"Computer-based safety-critical systems (CBSCS), found in automotive, nuclear power plants (NPP), space, health-care, etc. rely mainly on functional requirements and timing correctness. These systems are highly reactive and concurrent and demand not only safe and reliable systems but systems that remain secure and availabel while under attacks. Researchers and academicians have proposed various software reliability growth models (SRGM) and probabilistic models to quantify reliability and other dependability attributes. However, SRGM and the probabilistic models' accuracy depend on the sufficiency of failure data. The SCS development model follows rigorous design and development steps. Therefore, a very less number of failures occur during the testing or operational phase. Due to the non-sufficiency of failure data, the existing reliability growth models or the probabilistic models fail to accurately estimate or predict the reliability accurately. This paper presents a novel approach towards predicting the reliability of an SCS using the Bayesian Belief Network Model (BBN). The current approach takes the quality attributes of each and every phase of the Software Development Life Cycle (SDLC) model and hence gives a more accurate estimation.","PeriodicalId":344816,"journal":{"name":"2021 2nd International Conference on Range Technology (ICORT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128957307","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: 1

Acoustic Signal Processing for Rate of Fire and Blast Measurement for Performance Evaluation of Armaments 用于武器性能评估的射速和爆炸测量的声信号处理

2021 2nd International Conference on Range Technology (ICORT) Pub Date : 2021-08-05 DOI: 10.1109/ICORT52730.2021.9581662

Aveek Dutta, Shruti Pandey, Provat Mondal, S. Padhy

{"title":"Acoustic Signal Processing for Rate of Fire and Blast Measurement for Performance Evaluation of Armaments","authors":"Aveek Dutta, Shruti Pandey, Provat Mondal, S. Padhy","doi":"10.1109/ICORT52730.2021.9581662","DOIUrl":"https://doi.org/10.1109/ICORT52730.2021.9581662","url":null,"abstract":"In this paper, measurement and analysis of rate of fire (ROF) and blast pressure are presented. Data acquisition and analysis software has been developed at Proof and Experimental Establishment (PXE) and same has been applied for ROF and Blast pressure measurement. The software is coded in C++. In case of ROF measurement algorithm, a moving average filter has been applied to reduce noise then peaks are detected. Thresholding and blanking period have also been applied to discard echo. In blast measurement algorithm, a moving average filter is applied for noise removal. This data is fitted to Friedlander equation. In the present case, the requirement is to measure, high cyclic rate of fire of the order of 4000–5000 rounds per minute, using a high speed and accurate data acquisition system. Blast measurement is another important aspect for performance evaluation of armaments. Blast is the phenomenon in which sudden increase in air pressure is followed by sudden decrease in pressure which produces strong current of air which may lead to severe traumatic injuries to the soldiers. As the pressure fluctuates for a few milliseconds only, thus fast and sturdy measurement setup is needed. The proposed acoustic signal processing setup efficiently meets the requirements.","PeriodicalId":344816,"journal":{"name":"2021 2nd International Conference on Range Technology (ICORT)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116665403","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: 0