Krishnananda Shet, G. Karthikeya, L. Aarush, K. M. Harshitha, Shravan Kaundinya
{"title":"A Wideband Probe-Fed Conformal Antenna for DSRC Radar Mounted on a Generic Hatchback Car","authors":"Krishnananda Shet, G. Karthikeya, L. Aarush, K. M. Harshitha, Shravan Kaundinya","doi":"10.1109/iceeccot43722.2018.9001612","DOIUrl":"https://doi.org/10.1109/iceeccot43722.2018.9001612","url":null,"abstract":"Dedicated short range communication enables communication between vehicles, DSRC finds its application in implementing safety measures for vehicles. In order to design such radars, antennas which match the radar's technical requirements is essential. Hence, antennas which are conformal only with wide impedance bandwidth is important. A wideband conformal antenna is proposed in this paper for DSRC system. The operating frequency of the antenna is 5.6GHz with a bandwidth of 660MHz. The proposed antenna is fabricated and it is characterized. The antenna is mounted on a generic hatchback car and the return loss and radiation pattern are computed.","PeriodicalId":254272,"journal":{"name":"2018 International Conference on Electrical, Electronics, Communication, Computer, and Optimization Techniques (ICEECCOT)","volume":"117 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123049973","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}
{"title":"Detection of Lung Cancer by Canny Edge Detector for Performance in Area, Latency","authors":"N. Chandrashekar, K. Natraj","doi":"10.1109/ICEECCOT43722.2018.9001445","DOIUrl":"https://doi.org/10.1109/ICEECCOT43722.2018.9001445","url":null,"abstract":"Lung Cancer is one of the dangerous diseases becoming common in people who are prey to it if it is not identified in time. The present research work explains Random Access Dual-port Memory (DRAM), based on Canny Edge Detection (CED) with efficient Save Carry Adder (CSA) and Look-ahead Carry Adder (CLA) and Skip Carry Adder (CSkipA) are introduced. Improving the edge detection performance by employing DRAM and an efficient optimal adder, which is called as DRAM-Optimal Adders-CED system is the main objectives of this research work. The lung cell images are read by MATLAB. The DRAM-Optimal Adder-CED system is implemented in Xilinx tool based on Virtex-6 device with different families such as xc6vcx75t, xc6vcx130t and xc6vcx195t with code in verilog. The DRAM-Optimal Adder-CED method mainly improves the Field Programmable Gate Array (FPGA) performance parameters such as Look-up-Table, slice, flip-flop, frequency and power. The DRAM-Optimal Adder-CED methodology improves the average FPGA performances about 22.76% of LUT, 8.47% of flip-flop and 28.14% of slice with that of existing techniques such as CED-FPGA and DBRAM-CSLA-CED method.","PeriodicalId":254272,"journal":{"name":"2018 International Conference on Electrical, Electronics, Communication, Computer, and Optimization Techniques (ICEECCOT)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121261613","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}
{"title":"Design and Analysis of Compact QCA Based 4-Bit Serial-Parallel Multiplier","authors":"B. S. Premananda, U. Bhargav, K. Vineeth","doi":"10.1109/ICEECCOT43722.2018.9001619","DOIUrl":"https://doi.org/10.1109/ICEECCOT43722.2018.9001619","url":null,"abstract":"The Quantum-dot Cellular Automata (QCA) is an up-coming nanotechnology with great prospect to provide compact circuits with low energy compared to CMOS technology. The increasing demand for efficient signal processors necessitates the design of adders and multipliers which are compact and consumes less power. Serial adders are area efficient architectures that can compute n-bit addition with a single adder but takes more time compared to n-bit parallel adders. Serial-parallel multipliers have regular and scalable structures when compared to multipliers that implement more complex multiplication algorithms. This paper proposes an energy and area efficient, 4-bit QCA based serial-parallel multiplier circuit. First QCA based serial adder is designed and then a 2-bit serial-parallel multiplier is realized. This multiplier is scaled-up to form 4-bit serial-parallel multiplier. Design, analysis and simulation of the QCA circuits are performed using QCADesigner- E. Designed circuits are evaluated based on cell count, total area and energy dissipation. It can be inferred from the simulation results that the proposed 4-bit serial-parallel multiplier reduces the cell count, area and energy dissipation compared to reference architectures.","PeriodicalId":254272,"journal":{"name":"2018 International Conference on Electrical, Electronics, Communication, Computer, and Optimization Techniques (ICEECCOT)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126658945","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}
{"title":"Control Strategy for the Development of Bio-Orthotic Limbs Using EMG Signals","authors":"Amith Kashyap, H. Rajesh, B. N. Krupa","doi":"10.1109/ICEECCOT43722.2018.9001327","DOIUrl":"https://doi.org/10.1109/ICEECCOT43722.2018.9001327","url":null,"abstract":"This paper elucidates a control mechanism for bio-orthotic limbs, analyzing electromyogram (EMG) signals, to improve the response time and efficiency. The dataset consisting of ten different classes of finger movements is used in the study. Various features are extracted from the trials to obtain temporal as well as frequency domain information. To increase the response time of the model, different feature reduction techniques are discussed. The reduced feature set is used to explore two different classification methods. The highest classification accuracy of 97.06% was obtained using Random Forest Classifier when compared with 76.49% outcome of support vector machine classifier.","PeriodicalId":254272,"journal":{"name":"2018 International Conference on Electrical, Electronics, Communication, Computer, and Optimization Techniques (ICEECCOT)","volume":"114 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126774310","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}
{"title":"A Tensorflow Based Robotic Arm","authors":"N. Nandan, K. Thippeswamy","doi":"10.1109/ICEECCOT43722.2018.9001524","DOIUrl":"https://doi.org/10.1109/ICEECCOT43722.2018.9001524","url":null,"abstract":"Object detection capability is provided to the Robotic arm using the Tensorflow object detection API. Tensorflow is having efficient deep learning libraries for object detection. This paper mainly deals with object detection in a real-time and provided the visual data to the robotic arm to choose the object. Object detection training is done under a supervised learning method by providing label images. Faster RCNN inception v2 model is used for the customized training of the toy images. Voice input through a microphone is taken and processed to convert it into a text to get object name needed to pick by the arm. Real-time video or image is captured by using the web camera or mobile IP camera application, sends to the system to process and detect the object in a real time. If the object found in the image, it calculates the physical distance and sends the data to the Arduino board connected with the robotic arm in term of the degree of rotation to access the object.","PeriodicalId":254272,"journal":{"name":"2018 International Conference on Electrical, Electronics, Communication, Computer, and Optimization Techniques (ICEECCOT)","volume":"158 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114910284","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}
{"title":"An Improved Image Fusion Technique based on Wavelet and Edge Gradients to Augment Spatial Prominence of Image Features","authors":"H. Shridhar, B. Neelgar, R. Premananda","doi":"10.1109/ICEECCOT43722.2018.9001470","DOIUrl":"https://doi.org/10.1109/ICEECCOT43722.2018.9001470","url":null,"abstract":"Image Fusion techniques being motivated by the fact to register and preserve images with perceptually meaningful features. Recently, transform based techniques are found to be competent and severely being used to fuse or combine images. In this paper, an improved wavelet & edge based technique known as edgelets to improve the spatial prominence of image features in image fusion is proposed. Firstly, images to be fused are transformed into YCbCr color space and obtained edges using gradient technique. Wavelet is applied to individual color channles (Y, Cb, Cr) with adaptive weights at different subbands. Weights are iteratively updated at all decomposition levels for better convergence of efficiency in fused image during reconstruction. Proposed method is proved dominant using standard metrics such as PFE, PSNR, Corr, SD & SF in comparison with very recent state-of-the-art techniques.","PeriodicalId":254272,"journal":{"name":"2018 International Conference on Electrical, Electronics, Communication, Computer, and Optimization Techniques (ICEECCOT)","volume":"116 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116394815","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}
{"title":"Satellite Image Compression Using DCT Technique","authors":"Deeksha Bekal Gangadhar, A. Ananth","doi":"10.1109/ICEECCOT43722.2018.9001533","DOIUrl":"https://doi.org/10.1109/ICEECCOT43722.2018.9001533","url":null,"abstract":"Compression of an image forms the indivisible part of the digital image storage and transmission. The limitation of storage and bandwidth capacity brings the necessity for image compression. Discrete Cosine Transform (DCT) is the technique used here for converting spatial components into frequency component. An algorithm is developed to compute DCT that yields compression of image. Compressed image is decompressed using Inverse Discrete Cosine Transformed (IDCT) to obtain a reconstructed image. The compression ratio (CR), Mean Square Error (MSE) and Peak Signal to Noise Ratio (PSNR) are computed for three images which gives the performance criteria for DCT image compression technique. The rural image and urban image obtained by Indian Remote Sensing Satellite IRS 2 are used for deriving compression ratios. Lena image gives higher compression ratio compared to satellite rural and urban images. It is found that the rural image shows better compression ratio compared to urban image. It is seen that satellite rural image shows higher compression ratio of 7.8952 when compared to satellite urban image of 5.4244.","PeriodicalId":254272,"journal":{"name":"2018 International Conference on Electrical, Electronics, Communication, Computer, and Optimization Techniques (ICEECCOT)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122631622","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}
{"title":"A Novel Third Party Integrity Checker (TPIC) based Data Auditing for Security of the Dynamic Streaming Client Data in a Cloud Infrastructure","authors":"K. P. Rao, R. P. Puneeth, Shashank Shetty","doi":"10.1109/ICEECCOT43722.2018.9001384","DOIUrl":"https://doi.org/10.1109/ICEECCOT43722.2018.9001384","url":null,"abstract":"With the widespread popularity of the outsourcing of streaming client data in the cloud infrastructure, lot of individuals or companies tend to store the mission critical data into the data centre's stored in the various remote locations to reduce the data storage and management cost. Nevertheless, new security challenges often arise causing threat to the data stored in the cloud. One among the security challenge is the checking the correctness or data integrity of the stored data. This paper focuses on the Third Party Integrity Checker (TPIC) based data auditing for security of the dynamic streaming client data in a cloud infrastructure. During the integrity process the TPIC will be only containing the digital signature generated by the Hash function of the stored encrypted data and will not be aware of the actual data of the file. Hence, allowing to trust the third party checker by not storing the actual data in it. The Client data would be changing significantly over the time, this model allows the integrity checking of the periodically changing dynamic data.","PeriodicalId":254272,"journal":{"name":"2018 International Conference on Electrical, Electronics, Communication, Computer, and Optimization Techniques (ICEECCOT)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116823737","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}
{"title":"Segmentation of Arecanut Bunches using HSV Color Model","authors":"R. Dhanesha, Naika C. L. Shrinivasa","doi":"10.1109/ICEECCOT43722.2018.9001632","DOIUrl":"https://doi.org/10.1109/ICEECCOT43722.2018.9001632","url":null,"abstract":"Arecanut is one of the commercial crop of south India. Arecanut maturity level decides its price in the market. To maximize the profitability, Farmer needs expertise to determine the maturity level of Arecanut. This lack of ability leads to low profit for their crops. Use of Image Processing and Computer Vision techniques in precision agriculture allowed farmers to take necessary steps to harvest by identifying the maturity level of fruits and vegetables. To identify maturity level segmentation of Arecanut bunches is required for automated expertise. In this paper, proposed a segmentation method to segment Arecanut bunches using HSV color model towards the view of identifying automatic maturity level of arecanut bunches. The results of experiment clarifies the proposed method effectiveness which is better to segment the arecanut bunches for future analysis.","PeriodicalId":254272,"journal":{"name":"2018 International Conference on Electrical, Electronics, Communication, Computer, and Optimization Techniques (ICEECCOT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128280099","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}
{"title":"LSTM model for Channel Occupation Prediction in GSM Band","authors":"S. Bidwai, Nikhil Joshi, S. Bidwai","doi":"10.1109/ICEECCOT43722.2018.9001366","DOIUrl":"https://doi.org/10.1109/ICEECCOT43722.2018.9001366","url":null,"abstract":"Radio frequencies are a limited resource and hence sold by the governments at premium prices. At any point of time, the licensed users may or may not be using the channel. The objective of Cognitive Radio (CR) is to predict unused time slots in licensed channels at a given time so that others can use such unused slots. However, channel usage patterns may be predicted only in a statistical sense and are essentially random in nature. Therefore, we need a standard data set for comparison of CR techniques. We have created a data set that can be used for simulation, training and testing of CR over GSM band (890-960MHz). A typical file with two hour of observations will have about 1.2 million samples. More than 1000 sets of data samples have been captured from urban and rural areas in India. We have used this data set for prediction using a neural network called Long Short Term Memory (LSTM). The model achieves Lowest Mean Square Error (MSE) of 0.0319 for1024 LSTM units when trained with 100 epochs.","PeriodicalId":254272,"journal":{"name":"2018 International Conference on Electrical, Electronics, Communication, Computer, and Optimization Techniques (ICEECCOT)","volume":"103 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128593448","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}