Pub Date : 2016-12-01DOI: 10.1109/ICAECCT.2016.7942565
Poonam Kondekar, P. Shende
In our day today life if we want to buy any product then we first see the brand or logo of that product whether that brand or logo is original or not. Depending upon this we conclude that product is original product otherwise fake product. So in this project we detect first the original logo which is present in the image by comparing original logo image with the test image by using two algorithms first CDS-SIFT and second CDS RANSAC. And then conclude that the proposed method is more efficient than the existing method in terms of Execution time, Accuracy, FRR(False Rejection Rate), FAR (False Acceptance Rate). The proposed method of logo detection is based on Context Dependent Similarity (CDS) kernel. CDS kernel's function is dependent upon three terms first energy function, second context criterion and third entropy term. Energy function balances the fidelity term. The analysis of proposed method is done using MATLAB and comparative analysis of proposed method against the nearest neighbor of existing SIFT method is done and claim that proposed method is best method. Secondly we will evaluate the performance parameters.
{"title":"Logo recognition using Context Dependent criteria","authors":"Poonam Kondekar, P. Shende","doi":"10.1109/ICAECCT.2016.7942565","DOIUrl":"https://doi.org/10.1109/ICAECCT.2016.7942565","url":null,"abstract":"In our day today life if we want to buy any product then we first see the brand or logo of that product whether that brand or logo is original or not. Depending upon this we conclude that product is original product otherwise fake product. So in this project we detect first the original logo which is present in the image by comparing original logo image with the test image by using two algorithms first CDS-SIFT and second CDS RANSAC. And then conclude that the proposed method is more efficient than the existing method in terms of Execution time, Accuracy, FRR(False Rejection Rate), FAR (False Acceptance Rate). The proposed method of logo detection is based on Context Dependent Similarity (CDS) kernel. CDS kernel's function is dependent upon three terms first energy function, second context criterion and third entropy term. Energy function balances the fidelity term. The analysis of proposed method is done using MATLAB and comparative analysis of proposed method against the nearest neighbor of existing SIFT method is done and claim that proposed method is best method. Secondly we will evaluate the performance parameters.","PeriodicalId":6629,"journal":{"name":"2016 IEEE International Conference on Advances in Electronics, Communication and Computer Technology (ICAECCT)","volume":"140 1","pages":"111-115"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73287816","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}
Pub Date : 2016-12-01DOI: 10.1109/ICAECCT.2016.7942549
Saket R Nimbargi, Sagar Mhaisne, Samruddhi Nangare, Manisha Sinha
Smart Meter is an advance meter which measures electricity, gas & water consumption and gives more detailed information than a traditional meter. Implementation of AMI software into these meters will give variety of controls, facilities and features. In this work, customer service benefits such as managing demand response, flexible billing cycle, pricing structure, distributed network management, AMI standards, cost estimate and communication infrastructure of AMI with respect to Indian protocols are discussed regarding electricity measurement only.
{"title":"Review on AMI technology for Smart Meter","authors":"Saket R Nimbargi, Sagar Mhaisne, Samruddhi Nangare, Manisha Sinha","doi":"10.1109/ICAECCT.2016.7942549","DOIUrl":"https://doi.org/10.1109/ICAECCT.2016.7942549","url":null,"abstract":"Smart Meter is an advance meter which measures electricity, gas & water consumption and gives more detailed information than a traditional meter. Implementation of AMI software into these meters will give variety of controls, facilities and features. In this work, customer service benefits such as managing demand response, flexible billing cycle, pricing structure, distributed network management, AMI standards, cost estimate and communication infrastructure of AMI with respect to Indian protocols are discussed regarding electricity measurement only.","PeriodicalId":6629,"journal":{"name":"2016 IEEE International Conference on Advances in Electronics, Communication and Computer Technology (ICAECCT)","volume":"113 1","pages":"21-27"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85942159","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}
Pub Date : 2016-12-01DOI: 10.1109/ICAECCT.2016.7942635
D. Mantri, N. Prasad, R. Prasad
In application base environment using Wireless Sensor Network (WSNs), mobility sink and node plays a key role in concern with topological changes affecting on the bandwidth utilization, energy consumption and delay. Due to the scarcity of available resources, it demands the solution with a better reduction in delay and energy consumption for increased slot utilization and reduced collisions. The paper proposes Sink Mobility-aware Node Scheduling algorithm (SMNS) using TDMA as basic MAC. Slots are scheduled to reduce glitches and offset occurring in switching the data from nodes to movable sink in clustered environment. The collision-free slots allocated shows reduced energy consumption and delay as compared to state-of-the-art solutions.
在基于无线传感器网络(WSNs)的应用基础环境中，移动sink和节点起着关键作用，其拓扑变化会影响带宽利用率、能耗和时延。由于可用资源的稀缺性，它要求解决方案能够更好地减少延迟和能量消耗，以提高插槽利用率和减少碰撞。本文提出了基于TDMA作为基本MAC的Sink - mobile -aware Node Scheduling算法(SMNS)，该算法通过调度插槽来减少集群环境下数据从节点到可移动Sink的切换过程中出现的故障和偏移。与最先进的解决方案相比，分配的无碰撞插槽减少了能耗和延迟。
{"title":"Sink Mobility-aware Node Scheduling algorithm for Wireless Sensor Network","authors":"D. Mantri, N. Prasad, R. Prasad","doi":"10.1109/ICAECCT.2016.7942635","DOIUrl":"https://doi.org/10.1109/ICAECCT.2016.7942635","url":null,"abstract":"In application base environment using Wireless Sensor Network (WSNs), mobility sink and node plays a key role in concern with topological changes affecting on the bandwidth utilization, energy consumption and delay. Due to the scarcity of available resources, it demands the solution with a better reduction in delay and energy consumption for increased slot utilization and reduced collisions. The paper proposes Sink Mobility-aware Node Scheduling algorithm (SMNS) using TDMA as basic MAC. Slots are scheduled to reduce glitches and offset occurring in switching the data from nodes to movable sink in clustered environment. The collision-free slots allocated shows reduced energy consumption and delay as compared to state-of-the-art solutions.","PeriodicalId":6629,"journal":{"name":"2016 IEEE International Conference on Advances in Electronics, Communication and Computer Technology (ICAECCT)","volume":"116 1","pages":"474-478"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87913103","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}
Pub Date : 2016-12-01DOI: 10.1109/ICAECCT.2016.7942584
Pallavi R. Kapse, S. Hippargi
Last few years there are many techniques available that convert 2D image to 3D ones. Methods which make use of human operator have been very useful but they required more time and costly too, known as semiautomatic method. So to remove this drawback developed automatic 2D-to-3D image conversion method which does not required human operator's help and it also reduces complexity. But these methods still have not able to produce good quality image due to poor quality of depth image used for image conversion. The main step of 2D-to-3D image conversion is depth estimation of given 2D image. So here we introduced a novel technique to convert 2D image to 3D stereoscopic image with better depth image. The proposed method is based on estimating depth image of our query 2D image directly from database which contains many 2D images with their depth image by applying nearest neighbor search.
{"title":"Automatic 2D-to-3D image conversion using KNN search","authors":"Pallavi R. Kapse, S. Hippargi","doi":"10.1109/ICAECCT.2016.7942584","DOIUrl":"https://doi.org/10.1109/ICAECCT.2016.7942584","url":null,"abstract":"Last few years there are many techniques available that convert 2D image to 3D ones. Methods which make use of human operator have been very useful but they required more time and costly too, known as semiautomatic method. So to remove this drawback developed automatic 2D-to-3D image conversion method which does not required human operator's help and it also reduces complexity. But these methods still have not able to produce good quality image due to poor quality of depth image used for image conversion. The main step of 2D-to-3D image conversion is depth estimation of given 2D image. So here we introduced a novel technique to convert 2D image to 3D stereoscopic image with better depth image. The proposed method is based on estimating depth image of our query 2D image directly from database which contains many 2D images with their depth image by applying nearest neighbor search.","PeriodicalId":6629,"journal":{"name":"2016 IEEE International Conference on Advances in Electronics, Communication and Computer Technology (ICAECCT)","volume":"1 1","pages":"210-215"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88919606","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}
Pub Date : 2016-12-01DOI: 10.1109/ICAECCT.2016.7942603
Ramesh M. Badiger, Manjunath Y. Kammar, Ningappa T. Pujar
In recent years portable camera devices have gained increased popularity and embedded visual processing, text extraction from natural scene images like advertisement display boards, government office boards has become a key problem in everyday lives. The problem is challenging in nature due to variations in the font size and color, text alignment, illumination change and reflections. Here a novel method for extraction of text from advertisement display boards using Region growing algorithm is proposed. The proposed algorithm is generally composed of four stages, the colored image is converted into grayscale image and canny edge method is used to detect the edges of the image, the edge detected image is preprocessed by applying morphological operations and rule based method is used to remove the non text objects based on width, height and area, later finding the centroid point of the connected component of identified objects and finally proposed algorithm region growing method is used to start extracting the characters. The method is robust and insensitive to noise, blur, variation in font size and style, color, uneven thickness, and varying lightning conditions. The text extraction accuracy of 90.94% is achieved.
{"title":"Content extraction from advertisement display boards utilizing Region growing algorithm","authors":"Ramesh M. Badiger, Manjunath Y. Kammar, Ningappa T. Pujar","doi":"10.1109/ICAECCT.2016.7942603","DOIUrl":"https://doi.org/10.1109/ICAECCT.2016.7942603","url":null,"abstract":"In recent years portable camera devices have gained increased popularity and embedded visual processing, text extraction from natural scene images like advertisement display boards, government office boards has become a key problem in everyday lives. The problem is challenging in nature due to variations in the font size and color, text alignment, illumination change and reflections. Here a novel method for extraction of text from advertisement display boards using Region growing algorithm is proposed. The proposed algorithm is generally composed of four stages, the colored image is converted into grayscale image and canny edge method is used to detect the edges of the image, the edge detected image is preprocessed by applying morphological operations and rule based method is used to remove the non text objects based on width, height and area, later finding the centroid point of the connected component of identified objects and finally proposed algorithm region growing method is used to start extracting the characters. The method is robust and insensitive to noise, blur, variation in font size and style, color, uneven thickness, and varying lightning conditions. The text extraction accuracy of 90.94% is achieved.","PeriodicalId":6629,"journal":{"name":"2016 IEEE International Conference on Advances in Electronics, Communication and Computer Technology (ICAECCT)","volume":"17 1","pages":"303-307"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73281431","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}
Pub Date : 2016-12-01DOI: 10.1109/ICAECCT.2016.7942570
G. K. Khan, A. Sawant
The paper gives us, a brief account of the design of 2D - discrete wavelet transform (DWT) implemented in VLSI architecture using Verilog HDL which achieves high speed computation. The main motive behind the development of the architecture is on giving efficient hardware utilization along with high operating speed and less number of clock cycles. To verify the proposed scheme, 2D DWT is applied on a grey image of size 128*128 to get all the four components (average, diagonal, horizontal and vertical), this wavelet decomposition is verified and obtained in Xilinx 14.2 version software using Verilog HDL; circuit is planned, modelled (simulated) in Verilog HDL, and finally the result is validated in FPGA Spartan 6 to get the output 2D-DWT computed image back. This is a single chip implementation where discrete wavelet transform can be used in VLSI design more efficiently than other transform. It is depicted that the operation carried out with specified processing speed of the designed architecture based on the proposed scheme is good than those of the other architectures designed using other existing schemes, and it has less hardware utilization.
{"title":"Spartan 6 FPGA implementation of 2D-discrete wavelet transform in Verilog HDL","authors":"G. K. Khan, A. Sawant","doi":"10.1109/ICAECCT.2016.7942570","DOIUrl":"https://doi.org/10.1109/ICAECCT.2016.7942570","url":null,"abstract":"The paper gives us, a brief account of the design of 2D - discrete wavelet transform (DWT) implemented in VLSI architecture using Verilog HDL which achieves high speed computation. The main motive behind the development of the architecture is on giving efficient hardware utilization along with high operating speed and less number of clock cycles. To verify the proposed scheme, 2D DWT is applied on a grey image of size 128*128 to get all the four components (average, diagonal, horizontal and vertical), this wavelet decomposition is verified and obtained in Xilinx 14.2 version software using Verilog HDL; circuit is planned, modelled (simulated) in Verilog HDL, and finally the result is validated in FPGA Spartan 6 to get the output 2D-DWT computed image back. This is a single chip implementation where discrete wavelet transform can be used in VLSI design more efficiently than other transform. It is depicted that the operation carried out with specified processing speed of the designed architecture based on the proposed scheme is good than those of the other architectures designed using other existing schemes, and it has less hardware utilization.","PeriodicalId":6629,"journal":{"name":"2016 IEEE International Conference on Advances in Electronics, Communication and Computer Technology (ICAECCT)","volume":"53 1","pages":"139-143"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75368521","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}
Pub Date : 2016-12-01DOI: 10.1109/ICAECCT.2016.7942552
Shveti Sejpal, Nikesh Shah
For the remote access of the medical image it should be watermarked with the patient information to ascertain the medical image. The purpose of the this paper is to optimize multiple objectives using bat Algorithm and firefly algorithm in Lifting Wavelet Transform and Singular value Decomposition domain. Here the multiple objectives are the perceptual quality, security and robustness. Fibonacci-Lucas Transform is implemented for secured color watermarking technique. The technique is tested with color USG Scan cover image of size 1024 × 768 and gray scale patient image of size 256 × 256. Here in YCbCr color space the Y component of color USG scan host image is used for embedding the gray scale watermark image. In term of PSNR the perceptual quality is achieved 88.6196 dB using Bat algorithm and 88.5767 dB using Firefly algorithm. This technique shows the near about exact recovery of watermark image by getting NC 0.9946 through Bat algorithm and 0.9945 through Firefly algorithm.
{"title":"A novel multiple objective optimized color watermarking scheme based on LWT-SVD domain using nature based Bat Algorithm and Firefly algorithm","authors":"Shveti Sejpal, Nikesh Shah","doi":"10.1109/ICAECCT.2016.7942552","DOIUrl":"https://doi.org/10.1109/ICAECCT.2016.7942552","url":null,"abstract":"For the remote access of the medical image it should be watermarked with the patient information to ascertain the medical image. The purpose of the this paper is to optimize multiple objectives using bat Algorithm and firefly algorithm in Lifting Wavelet Transform and Singular value Decomposition domain. Here the multiple objectives are the perceptual quality, security and robustness. Fibonacci-Lucas Transform is implemented for secured color watermarking technique. The technique is tested with color USG Scan cover image of size 1024 × 768 and gray scale patient image of size 256 × 256. Here in YCbCr color space the Y component of color USG scan host image is used for embedding the gray scale watermark image. In term of PSNR the perceptual quality is achieved 88.6196 dB using Bat algorithm and 88.5767 dB using Firefly algorithm. This technique shows the near about exact recovery of watermark image by getting NC 0.9946 through Bat algorithm and 0.9945 through Firefly algorithm.","PeriodicalId":6629,"journal":{"name":"2016 IEEE International Conference on Advances in Electronics, Communication and Computer Technology (ICAECCT)","volume":"8 1","pages":"38-44"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82278718","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}
Pub Date : 2016-12-01DOI: 10.1109/ICAECCT.2016.7942568
Shrutkirti D. Kalkhaire, V. Puranik
Remote photoplethysmography is most recent method for measuring the heart rate according to skin color variations. The heart is essential part of human body and all the heart related issues causes because of anxiety. Firstly we have to consider ROI for experiment and hence Viola Jones algorithm is used for the face detection. We have presented a new automated method for detection of the systolic and diastolic peaks of a PPG waveform captured remotely using a digital camera. The top to-crest time amongst systolic and diastolic point is in a roundabout way identified with the heart rate. After extraction of BVP pulse, we are extending our work toward classification of these pulses in to six different types as Normal Sinus Rhythm (NSR), Premature Ventricular Contraction (PVC), Atrial Premature Contraction (APC), Ventricular Tachycardia (VT), Ventricular Fibrillation (VF) and Supraventricular Tachycardia (SVT). For classification we will use Support Vector Machine Classifier (SVM).
{"title":"Remote detection of photoplethysmographic signal and SVM based classification","authors":"Shrutkirti D. Kalkhaire, V. Puranik","doi":"10.1109/ICAECCT.2016.7942568","DOIUrl":"https://doi.org/10.1109/ICAECCT.2016.7942568","url":null,"abstract":"Remote photoplethysmography is most recent method for measuring the heart rate according to skin color variations. The heart is essential part of human body and all the heart related issues causes because of anxiety. Firstly we have to consider ROI for experiment and hence Viola Jones algorithm is used for the face detection. We have presented a new automated method for detection of the systolic and diastolic peaks of a PPG waveform captured remotely using a digital camera. The top to-crest time amongst systolic and diastolic point is in a roundabout way identified with the heart rate. After extraction of BVP pulse, we are extending our work toward classification of these pulses in to six different types as Normal Sinus Rhythm (NSR), Premature Ventricular Contraction (PVC), Atrial Premature Contraction (APC), Ventricular Tachycardia (VT), Ventricular Fibrillation (VF) and Supraventricular Tachycardia (SVT). For classification we will use Support Vector Machine Classifier (SVM).","PeriodicalId":6629,"journal":{"name":"2016 IEEE International Conference on Advances in Electronics, Communication and Computer Technology (ICAECCT)","volume":"164 1","pages":"128-132"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81667915","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}
Pub Date : 2016-12-01DOI: 10.1109/ICAECCT.2016.7942611
S. Kedar, P. Saxena, Lekha Das
Sensing process parameter is imperative for signal readout in radiation detectors, exclusively in the ionization chamber which are widely used for the measurement of flux of the ionizing radiations. The presented work aims to describe an advanced data acquisition system for accurate measurement of the parameters. A circuit is designed and developed for sensing process parameter that is ionization current using all in one 32-bit microcontroller STM32F401RE for ionization chamber data acquisition.
{"title":"High speed remote sensing of process parameters using STM32","authors":"S. Kedar, P. Saxena, Lekha Das","doi":"10.1109/ICAECCT.2016.7942611","DOIUrl":"https://doi.org/10.1109/ICAECCT.2016.7942611","url":null,"abstract":"Sensing process parameter is imperative for signal readout in radiation detectors, exclusively in the ionization chamber which are widely used for the measurement of flux of the ionizing radiations. The presented work aims to describe an advanced data acquisition system for accurate measurement of the parameters. A circuit is designed and developed for sensing process parameter that is ionization current using all in one 32-bit microcontroller STM32F401RE for ionization chamber data acquisition.","PeriodicalId":6629,"journal":{"name":"2016 IEEE International Conference on Advances in Electronics, Communication and Computer Technology (ICAECCT)","volume":"58 1","pages":"349-351"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88934364","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}
Pub Date : 2016-12-01DOI: 10.1109/ICAECCT.2016.7942563
Prajakta Paradkar, K. Adoni
This paper gives an overview of data acquisition, data logging and testing of the refrigerator PCB. It tests for the proper start-up of the refrigerator components with the help of automated testing kit known as jig. The microcontroller Atmega16 is programmed to check the hardware of the refrigerator PCB under test. A LabView based data logging program helps the process to check the components and the generated data is logged into the database with proper indication of the status of the PCB.
{"title":"Testing of the refrigerator PCB and data logging by LabView","authors":"Prajakta Paradkar, K. Adoni","doi":"10.1109/ICAECCT.2016.7942563","DOIUrl":"https://doi.org/10.1109/ICAECCT.2016.7942563","url":null,"abstract":"This paper gives an overview of data acquisition, data logging and testing of the refrigerator PCB. It tests for the proper start-up of the refrigerator components with the help of automated testing kit known as jig. The microcontroller Atmega16 is programmed to check the hardware of the refrigerator PCB under test. A LabView based data logging program helps the process to check the components and the generated data is logged into the database with proper indication of the status of the PCB.","PeriodicalId":6629,"journal":{"name":"2016 IEEE International Conference on Advances in Electronics, Communication and Computer Technology (ICAECCT)","volume":"318 1","pages":"99-102"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85403643","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：