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detection</title> <meta name="description" content="Search results for: error detection"> <meta name="keywords" content="error detection"> <meta name="viewport" content="width=device-width, initial-scale=1, minimum-scale=1, maximum-scale=1, user-scalable=no"> <meta charset="utf-8"> <link href="https://cdn.waset.org/favicon.ico" type="image/x-icon" rel="shortcut icon"> <link href="https://cdn.waset.org/static/plugins/bootstrap-4.2.1/css/bootstrap.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/plugins/fontawesome/css/all.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/css/site.css?v=150220211555" rel="stylesheet"> </head> <body> <header> <div class="container"> <nav class="navbar navbar-expand-lg navbar-light"> <a class="navbar-brand" href="https://waset.org"> <img src="https://cdn.waset.org/static/images/wasetc.png" alt="Open Science Research Excellence" title="Open Science Research Excellence" /> </a> <button class="d-block d-lg-none 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action="https://publications.waset.org/abstracts/search"> <div id="custom-search-input"> <div class="input-group"> <i class="fas fa-search"></i> <input type="text" class="search-query" name="q" placeholder="Author, Title, Abstract, Keywords" value="error detection"> <input type="submit" class="btn_search" value="Search"> </div> </div> </form> </div> </div> <div class="row mt-3"> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Commenced</strong> in January 2007</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Frequency:</strong> Monthly</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Edition:</strong> International</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Paper Count:</strong> 5211</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: error detection</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">5211</span> Reduced Complexity of ML Detection Combined with DFE</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Jae-Hyun%20Ro">Jae-Hyun Ro</a>, <a href="https://publications.waset.org/abstracts/search?q=Yong-Jun%20Kim"> Yong-Jun Kim</a>, <a href="https://publications.waset.org/abstracts/search?q=Chang-Bin%20Ha"> Chang-Bin Ha</a>, <a href="https://publications.waset.org/abstracts/search?q=Hyoung-Kyu%20Song"> Hyoung-Kyu Song </a> </p> <p class="card-text"><strong>Abstract:</strong></p> In multiple input multiple output-orthogonal frequency division multiplexing (MIMO-OFDM) systems, many detection schemes have been developed to improve the error performance and to reduce the complexity. Maximum likelihood (ML) detection has optimal error performance but it has very high complexity. Thus, this paper proposes reduced complexity of ML detection combined with decision feedback equalizer (DFE). The error performance of the proposed detection scheme is higher than the conventional DFE. But the complexity of the proposed scheme is lower than the conventional ML detection. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=detection" title="detection">detection</a>, <a href="https://publications.waset.org/abstracts/search?q=DFE" title=" DFE"> DFE</a>, <a href="https://publications.waset.org/abstracts/search?q=MIMO-OFDM" title=" MIMO-OFDM"> MIMO-OFDM</a>, <a href="https://publications.waset.org/abstracts/search?q=ML" title=" ML"> ML</a> </p> <a href="https://publications.waset.org/abstracts/42215/reduced-complexity-of-ml-detection-combined-with-dfe" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/42215.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">610</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">5210</span> Pin Count Aware Volumetric Error Detection in Arbitrary Microfluidic Bio-Chip</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Kunal%20Das">Kunal Das</a>, <a href="https://publications.waset.org/abstracts/search?q=Priya%20Sengupta"> Priya Sengupta</a>, <a href="https://publications.waset.org/abstracts/search?q=Abhishek%20K.%20Singh"> Abhishek K. Singh</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Pin assignment, scheduling, routing and error detection for arbitrary biochemical protocols in Digital Microfluidic Biochip have been reported in this paper. The research work is concentrating on pin assignment for 2 or 3 droplets routing in the arbitrary biochemical protocol, scheduling and routing in m × n biochip. The volumetric error arises due to droplet split in the biochip. The volumetric error detection is also addressed using biochip AND logic gate which is known as microfluidic AND or mAND gate. The algorithm for pin assignment for m × n biochip required m+n-1 numbers of pins. The basic principle of this algorithm is that no same pin will be allowed to be placed in the same column, same row and diagonal and adjacent cells. The same pin should be placed a distance apart such that interference becomes less. A case study also reported in this paper. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=digital%20microfludic%20biochip" title="digital microfludic biochip">digital microfludic biochip</a>, <a href="https://publications.waset.org/abstracts/search?q=cross-contamination" title=" cross-contamination"> cross-contamination</a>, <a href="https://publications.waset.org/abstracts/search?q=pin%20assignment" title=" pin assignment"> pin assignment</a>, <a href="https://publications.waset.org/abstracts/search?q=microfluidic%20AND%20gate" title=" microfluidic AND gate"> microfluidic AND gate</a> </p> <a href="https://publications.waset.org/abstracts/91627/pin-count-aware-volumetric-error-detection-in-arbitrary-microfluidic-bio-chip" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/91627.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">274</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">5209</span> Error Probability of Multi-User Detection Techniques</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Komal%20Babbar">Komal Babbar</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Multiuser Detection is the intelligent estimation/demodulation of transmitted bits in the presence of Multiple Access Interference. The authors have presented the Bit-error rate (BER) achieved by linear multi-user detectors: Matched filter (which treats the MAI as AWGN), Decorrelating and MMSE. In this work, authors investigate the bit error probability analysis for Matched filter, decorrelating, and MMSE. This problem arises in several practical CDMA applications where the receiver may not have full knowledge of the number of active users and their signature sequences. In particular, the behavior of MAI at the output of the Multi-user detectors (MUD) is examined under various asymptotic conditions including large signal to noise ratio; large near-far ratios; and a large number of users. In the last section Authors also shows Matlab Simulation results for Multiuser detection techniques i.e., Matched filter, Decorrelating, MMSE for 2 users and 10 users. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=code%20division%20multiple%20access" title="code division multiple access">code division multiple access</a>, <a href="https://publications.waset.org/abstracts/search?q=decorrelating" title=" decorrelating"> decorrelating</a>, <a href="https://publications.waset.org/abstracts/search?q=matched%20filter" title=" matched filter"> matched filter</a>, <a href="https://publications.waset.org/abstracts/search?q=minimum%20mean%20square%20detection%20%28MMSE%29%20detection" title=" minimum mean square detection (MMSE) detection"> minimum mean square detection (MMSE) detection</a>, <a href="https://publications.waset.org/abstracts/search?q=multiple%20access%20interference%20%28MAI%29" title=" multiple access interference (MAI)"> multiple access interference (MAI)</a>, <a href="https://publications.waset.org/abstracts/search?q=multiuser%20detection%20%28MUD%29" title=" multiuser detection (MUD)"> multiuser detection (MUD)</a> </p> <a href="https://publications.waset.org/abstracts/26329/error-probability-of-multi-user-detection-techniques" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/26329.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">528</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">5208</span> Sensor Registration in Multi-Static Sonar Fusion Detection</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Longxiang%20Guo">Longxiang Guo</a>, <a href="https://publications.waset.org/abstracts/search?q=Haoyan%20Hao"> Haoyan Hao</a>, <a href="https://publications.waset.org/abstracts/search?q=Xueli%20Sheng"> Xueli Sheng</a>, <a href="https://publications.waset.org/abstracts/search?q=Hanjun%20Yu"> Hanjun Yu</a>, <a href="https://publications.waset.org/abstracts/search?q=Jingwei%20Yin"> Jingwei Yin</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In order to prevent target splitting and ensure the accuracy of fusion, system error registration is an important step in multi-static sonar fusion detection system. To eliminate the inherent system errors including distance error and angle error of each sonar in detection, this paper uses offline estimation method for error registration. Suppose several sonars from different platforms work together to detect a target. The target position detected by each sonar is based on each sonar’s own reference coordinate system. Based on the two-dimensional stereo projection method, this paper uses real-time quality control (RTQC) method and least squares (LS) method to estimate sensor biases. The RTQC method takes the average value of each sonar’s data as the observation value and the LS method makes the least square processing of each sonar’s data to get the observation value. In the underwater acoustic environment, matlab simulation is carried out and the simulation results show that both algorithms can estimate the distance and angle error of sonar system. The performance of the two algorithms is also compared through the root mean square error and the influence of measurement noise on registration accuracy is explored by simulation. The system error convergence of RTQC method is rapid, but the distribution of targets has a serious impact on its performance. LS method can not be affected by target distribution, but the increase of random noise will slow down the convergence rate. LS method is an improvement of RTQC method, which is widely used in two-dimensional registration. The improved method can be used for underwater multi-target detection registration. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=data%20fusion" title="data fusion">data fusion</a>, <a href="https://publications.waset.org/abstracts/search?q=multi-static%20sonar%20detection" title=" multi-static sonar detection"> multi-static sonar detection</a>, <a href="https://publications.waset.org/abstracts/search?q=offline%20estimation" title=" offline estimation"> offline estimation</a>, <a href="https://publications.waset.org/abstracts/search?q=sensor%20registration%20problem" title=" sensor registration problem"> sensor registration problem</a> </p> <a href="https://publications.waset.org/abstracts/103631/sensor-registration-in-multi-static-sonar-fusion-detection" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/103631.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">169</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">5207</span> Grating Scale Thermal Expansion Error Compensation for Large Machine Tools Based on Multiple Temperature Detection</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Wenlong%20Feng">Wenlong Feng</a>, <a href="https://publications.waset.org/abstracts/search?q=Zhenchun%20Du"> Zhenchun Du</a>, <a href="https://publications.waset.org/abstracts/search?q=Jianguo%20Yang"> Jianguo Yang</a> </p> <p class="card-text"><strong>Abstract:</strong></p> To decrease the grating scale thermal expansion error, a novel method which based on multiple temperature detections is proposed. Several temperature sensors are installed on the grating scale and the temperatures of these sensors are recorded. The temperatures of every point on the grating scale are calculated by interpolating between adjacent sensors. According to the thermal expansion principle, the grating scale thermal expansion error model can be established by doing the integral for the variations of position and temperature. A novel compensation method is proposed in this paper. By applying the established error model, the grating scale thermal expansion error is decreased by 90% compared with no compensation. The residual positioning error of the grating scale is less than 15um/10m and the accuracy of the machine tool is significant improved. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=thermal%20expansion%20error%20of%20grating%20scale" title="thermal expansion error of grating scale">thermal expansion error of grating scale</a>, <a href="https://publications.waset.org/abstracts/search?q=error%20compensation" title=" error compensation"> error compensation</a>, <a href="https://publications.waset.org/abstracts/search?q=machine%20tools" title=" machine tools"> machine tools</a>, <a href="https://publications.waset.org/abstracts/search?q=integral%20method" title=" integral method"> integral method</a> </p> <a href="https://publications.waset.org/abstracts/34355/grating-scale-thermal-expansion-error-compensation-for-large-machine-tools-based-on-multiple-temperature-detection" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/34355.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">366</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">5206</span> Designing a Cyclic Redundancy Checker-8 for 32 Bit Input Using VHDL</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ankit%20Shai">Ankit Shai</a> </p> <p class="card-text"><strong>Abstract:</strong></p> CRC or Cyclic Redundancy Check is one of the most common, and one of the most powerful error-detecting codes implemented on modern computers. Most of the modern communication protocols use some error detection algorithms in digital networks and storage devices to detect accidental changes to raw data between transmission and reception. Cyclic Redundancy Check, or CRC, is the most popular one among these error detection codes. CRC properties are defined by the generator polynomial length and coefficients. The aim of this project is to implement an efficient FPGA based CRC-8 that accepts a 32 bit input, taking into consideration optimal chip area and high performance, using VHDL. The proposed architecture is implemented on Xilinx ISE Simulator. It is designed while keeping in mind the hardware design, complexity and cost factor. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=cyclic%20redundancy%20checker" title="cyclic redundancy checker">cyclic redundancy checker</a>, <a href="https://publications.waset.org/abstracts/search?q=CRC-8" title=" CRC-8"> CRC-8</a>, <a href="https://publications.waset.org/abstracts/search?q=32-bit%20input" title=" 32-bit input"> 32-bit input</a>, <a href="https://publications.waset.org/abstracts/search?q=FPGA" title=" FPGA"> FPGA</a>, <a href="https://publications.waset.org/abstracts/search?q=VHDL" title=" VHDL"> VHDL</a>, <a href="https://publications.waset.org/abstracts/search?q=ModelSim" title=" ModelSim"> ModelSim</a>, <a href="https://publications.waset.org/abstracts/search?q=Xilinx" title=" Xilinx"> Xilinx</a> </p> <a href="https://publications.waset.org/abstracts/10861/designing-a-cyclic-redundancy-checker-8-for-32-bit-input-using-vhdl" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/10861.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">292</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">5205</span> Basic Study of Mammographic Image Magnification System with Eye-Detector and Simple EEG Scanner</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Aika%20Umemuro">Aika Umemuro</a>, <a href="https://publications.waset.org/abstracts/search?q=Mitsuru%20Sato"> Mitsuru Sato</a>, <a href="https://publications.waset.org/abstracts/search?q=Mizuki%20Narita"> Mizuki Narita</a>, <a href="https://publications.waset.org/abstracts/search?q=Saya%20Hori"> Saya Hori</a>, <a href="https://publications.waset.org/abstracts/search?q=Saya%20Sakurai"> Saya Sakurai</a>, <a href="https://publications.waset.org/abstracts/search?q=Tomomi%20Nakayama"> Tomomi Nakayama</a>, <a href="https://publications.waset.org/abstracts/search?q=Ayano%20Nakazawa"> Ayano Nakazawa</a>, <a href="https://publications.waset.org/abstracts/search?q=Toshihiro%20Ogura"> Toshihiro Ogura</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Mammography requires the detection of very small calcifications, and physicians search for microcalcifications by magnifying the images as they read them. The mouse is necessary to zoom in on the images, but this can be tiring and distracting when many images are read in a single day. Therefore, an image magnification system combining an eye-detector and a simple electroencephalograph (EEG) scanner was devised, and its operability was evaluated. Two experiments were conducted in this study: the measurement of eye-detection error using an eye-detector and the measurement of the time required for image magnification using a simple EEG scanner. Eye-detector validation showed that the mean distance of eye-detection error ranged from 0.64 cm to 2.17 cm, with an overall mean of 1.24 ± 0.81 cm for the observers. The results showed that the eye detection error was small enough for the magnified area of the mammographic image. The average time required for point magnification in the verification of the simple EEG scanner ranged from 5.85 to 16.73 seconds, and individual differences were observed. The reason for this may be that the size of the simple EEG scanner used was not adjustable, so it did not fit well for some subjects. The use of a simple EEG scanner with size adjustment would solve this problem. Therefore, the image magnification system using the eye-detector and the simple EEG scanner is useful. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=EEG%20scanner" title="EEG scanner">EEG scanner</a>, <a href="https://publications.waset.org/abstracts/search?q=eye-detector" title=" eye-detector"> eye-detector</a>, <a href="https://publications.waset.org/abstracts/search?q=mammography" title=" mammography"> mammography</a>, <a href="https://publications.waset.org/abstracts/search?q=observers" title=" observers"> observers</a> </p> <a href="https://publications.waset.org/abstracts/155822/basic-study-of-mammographic-image-magnification-system-with-eye-detector-and-simple-eeg-scanner" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/155822.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">215</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">5204</span> A Novel Approach to Design of EDDR Architecture for High Speed Motion Estimation Testing Applications</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=T.%20Gangadhararao">T. Gangadhararao</a>, <a href="https://publications.waset.org/abstracts/search?q=K.%20Krishna%20Kishore"> K. Krishna Kishore</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Motion Estimation (ME) plays a critical role in a video coder, testing such a module is of priority concern. While focusing on the testing of ME in a video coding system, this work presents an error detection and data recovery (EDDR) design, based on the residue-and-quotient (RQ) code, to embed into ME for video coding testing applications. An error in processing Elements (PEs), i.e. key components of a ME, can be detected and recovered effectively by using the proposed EDDR design. The proposed EDDR design for ME testing can detect errors and recover data with an acceptable area overhead and timing penalty. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=area%20overhead" title="area overhead">area overhead</a>, <a href="https://publications.waset.org/abstracts/search?q=data%20recovery" title=" data recovery"> data recovery</a>, <a href="https://publications.waset.org/abstracts/search?q=error%20detection" title=" error detection"> error detection</a>, <a href="https://publications.waset.org/abstracts/search?q=motion%20estimation" title=" motion estimation"> motion estimation</a>, <a href="https://publications.waset.org/abstracts/search?q=reliability" title=" reliability"> reliability</a>, <a href="https://publications.waset.org/abstracts/search?q=residue-and-quotient%20%28RQ%29%20code" title=" residue-and-quotient (RQ) code "> residue-and-quotient (RQ) code </a> </p> <a href="https://publications.waset.org/abstracts/16800/a-novel-approach-to-design-of-eddr-architecture-for-high-speed-motion-estimation-testing-applications" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/16800.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">432</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">5203</span> A Study of Effective Stereo Matching Method for Long-Wave Infrared Camera Module</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Hyun-Koo%20Kim">Hyun-Koo Kim</a>, <a href="https://publications.waset.org/abstracts/search?q=Yonghun%20Kim"> Yonghun Kim</a>, <a href="https://publications.waset.org/abstracts/search?q=Yong-Hoon%20Kim"> Yong-Hoon Kim</a>, <a href="https://publications.waset.org/abstracts/search?q=Ju%20Hee%20Lee"> Ju Hee Lee</a>, <a href="https://publications.waset.org/abstracts/search?q=Myungho%20Song"> Myungho Song</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this paper, we have described an efficient stereo matching method and pedestrian detection method using stereo types LWIR camera. We compared with three types stereo camera algorithm as block matching, ELAS, and SGM. For pedestrian detection using stereo LWIR camera, we used that SGM stereo matching method, free space detection method using u/v-disparity, and HOG feature based pedestrian detection. According to testing result, SGM method has better performance than block matching and ELAS algorithm. Combination of SGM, free space detection, and pedestrian detection using HOG features and SVM classification can detect pedestrian of 30m distance and has a distance error about 30 cm. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=advanced%20driver%20assistance%20system" title="advanced driver assistance system">advanced driver assistance system</a>, <a href="https://publications.waset.org/abstracts/search?q=pedestrian%20detection" title=" pedestrian detection"> pedestrian detection</a>, <a href="https://publications.waset.org/abstracts/search?q=stereo%20matching%20method" title=" stereo matching method"> stereo matching method</a>, <a href="https://publications.waset.org/abstracts/search?q=stereo%20long-wave%20IR%20camera" title=" stereo long-wave IR camera"> stereo long-wave IR camera</a> </p> <a href="https://publications.waset.org/abstracts/58413/a-study-of-effective-stereo-matching-method-for-long-wave-infrared-camera-module" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/58413.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">415</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">5202</span> Structural Damage Detection Using Modal Data Employing Teaching Learning Based Optimization</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Subhajit%20Das">Subhajit Das</a>, <a href="https://publications.waset.org/abstracts/search?q=Nirjhar%20Dhang"> Nirjhar Dhang</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Structural damage detection is a challenging work in the field of structural health monitoring (SHM). The damage detection methods mainly focused on the determination of the location and severity of the damage. Model updating is a well known method to locate and quantify the damage. In this method, an error function is defined in terms of difference between the signal measured from ‘experiment’ and signal obtained from undamaged finite element model. This error function is minimised with a proper algorithm, and the finite element model is updated accordingly to match the measured response. Thus, the damage location and severity can be identified from the updated model. In this paper, an error function is defined in terms of modal data viz. frequencies and modal assurance criteria (MAC). MAC is derived from Eigen vectors. This error function is minimized by teaching-learning-based optimization (TLBO) algorithm, and the finite element model is updated accordingly to locate and quantify the damage. Damage is introduced in the model by reduction of stiffness of the structural member. The ‘experimental’ data is simulated by the finite element modelling. The error due to experimental measurement is introduced in the synthetic ‘experimental’ data by adding random noise, which follows Gaussian distribution. The efficiency and robustness of this method are explained through three examples e.g., one truss, one beam and one frame problem. The result shows that TLBO algorithm is efficient to detect the damage location as well as the severity of damage using modal data. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=damage%20detection" title="damage detection">damage detection</a>, <a href="https://publications.waset.org/abstracts/search?q=finite%20element%20model%20updating" title=" finite element model updating"> finite element model updating</a>, <a href="https://publications.waset.org/abstracts/search?q=modal%20assurance%20criteria" title=" modal assurance criteria"> modal assurance criteria</a>, <a href="https://publications.waset.org/abstracts/search?q=structural%20health%20monitoring" title=" structural health monitoring"> structural health monitoring</a>, <a href="https://publications.waset.org/abstracts/search?q=teaching%20learning%20based%20optimization" title=" teaching learning based optimization"> teaching learning based optimization</a> </p> <a href="https://publications.waset.org/abstracts/77962/structural-damage-detection-using-modal-data-employing-teaching-learning-based-optimization" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/77962.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">215</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">5201</span> Comparison of Various Classification Techniques Using WEKA for Colon Cancer Detection</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Beema%20Akbar">Beema Akbar</a>, <a href="https://publications.waset.org/abstracts/search?q=Varun%20P.%20Gopi"> Varun P. Gopi</a>, <a href="https://publications.waset.org/abstracts/search?q=V.%20Suresh%20Babu"> V. Suresh Babu</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Colon cancer causes the deaths of about half a million people every year. The common method of its detection is histopathological tissue analysis, it leads to tiredness and workload to the pathologist. A novel method is proposed that combines both structural and statistical pattern recognition used for the detection of colon cancer. This paper presents a comparison among the different classifiers such as Multilayer Perception (MLP), Sequential Minimal Optimization (SMO), Bayesian Logistic Regression (BLR) and k-star by using classification accuracy and error rate based on the percentage split method. The result shows that the best algorithm in WEKA is MLP classifier with an accuracy of 83.333% and kappa statistics is 0.625. The MLP classifier which has a lower error rate, will be preferred as more powerful classification capability. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=colon%20cancer" title="colon cancer">colon cancer</a>, <a href="https://publications.waset.org/abstracts/search?q=histopathological%20image" title=" histopathological image"> histopathological image</a>, <a href="https://publications.waset.org/abstracts/search?q=structural%20and%20statistical%20pattern%20recognition" title=" structural and statistical pattern recognition"> structural and statistical pattern recognition</a>, <a href="https://publications.waset.org/abstracts/search?q=multilayer%20perception" title=" multilayer perception"> multilayer perception</a> </p> <a href="https://publications.waset.org/abstracts/17345/comparison-of-various-classification-techniques-using-weka-for-colon-cancer-detection" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/17345.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">575</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">5200</span> Charging-Vacuum Helium Mass Spectrometer Leak Detection Technology in the Application of Space Products Leak Testing and Error Control</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Jijun%20Shi">Jijun Shi</a>, <a href="https://publications.waset.org/abstracts/search?q=Lichen%20Sun"> Lichen Sun</a>, <a href="https://publications.waset.org/abstracts/search?q=Jianchao%20Zhao"> Jianchao Zhao</a>, <a href="https://publications.waset.org/abstracts/search?q=Lizhi%20Sun"> Lizhi Sun</a>, <a href="https://publications.waset.org/abstracts/search?q=Enjun%20Liu"> Enjun Liu</a>, <a href="https://publications.waset.org/abstracts/search?q=Chongwu%20Guo"> Chongwu Guo</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Because of the consistency of pressure direction, more short cycle, and high sensitivity, Charging-Vacuum helium mass spectrometer leak testing technology is the most popular leak testing technology for the seal testing of the spacecraft parts, especially the small and medium size ones. Usually, auxiliary pump was used, and the minimum detectable leak rate could reach 5E-9Pa•m3/s, even better on certain occasions. Relative error is more important when evaluating the results. How to choose the reference leak, the background level of helium, and record formats would affect the leak rate tested. In the linearity range of leak testing system, it would reduce 10% relative error if the reference leak with larger leak rate was used, and the relative error would reduce obviously if the background of helium was low efficiently, the record format of decimal was used, and the more stable data were recorded. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=leak%20testing" title="leak testing">leak testing</a>, <a href="https://publications.waset.org/abstracts/search?q=spacecraft%20parts" title=" spacecraft parts"> spacecraft parts</a>, <a href="https://publications.waset.org/abstracts/search?q=relative%20error" title=" relative error"> relative error</a>, <a href="https://publications.waset.org/abstracts/search?q=error%20control" title=" error control"> error control</a> </p> <a href="https://publications.waset.org/abstracts/62233/charging-vacuum-helium-mass-spectrometer-leak-detection-technology-in-the-application-of-space-products-leak-testing-and-error-control" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/62233.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">456</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">5199</span> Low-Cost Reversible Logic Serial Multipliers with Error Detection Capability</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mojtaba%20Valinataj">Mojtaba Valinataj</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Nowadays reversible logic has received many attentions as one of the new fields for reducing the power consumption. On the other hand, the processing systems have weaknesses against different external effects. In this paper, some error detecting reversible logic serial multipliers are proposed by incorporating the parity-preserving gates. This way, the new designs are presented for signed parity-preserving serial multipliers based on the Booth's algorithm by exploiting the new arrangements of existing gates. The experimental results show that the proposed 4×4 multipliers in this paper reach up to 20%, 35%, and 41% enhancements in the number of constant inputs, quantum cost, and gate count, respectively, as the reversible logic criteria, compared to previous designs. Furthermore, all the proposed designs have been generalized for n×n multipliers with general formulations to estimate the main reversible logic criteria as the functions of the multiplier size. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Booth%E2%80%99s%20algorithm" title="Booth’s algorithm">Booth’s algorithm</a>, <a href="https://publications.waset.org/abstracts/search?q=error%20detection" title=" error detection"> error detection</a>, <a href="https://publications.waset.org/abstracts/search?q=multiplication" title=" multiplication"> multiplication</a>, <a href="https://publications.waset.org/abstracts/search?q=parity-preserving%20gates" title=" parity-preserving gates"> parity-preserving gates</a>, <a href="https://publications.waset.org/abstracts/search?q=quantum%20computers" title=" quantum computers"> quantum computers</a>, <a href="https://publications.waset.org/abstracts/search?q=reversible%20logic" title=" reversible logic"> reversible logic</a> </p> <a href="https://publications.waset.org/abstracts/68832/low-cost-reversible-logic-serial-multipliers-with-error-detection-capability" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/68832.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">228</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">5198</span> Effects of Manufacture and Assembly Errors on the Output Error of Globoidal Cam Mechanisms</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Shuting%20Ji">Shuting Ji</a>, <a href="https://publications.waset.org/abstracts/search?q=Yueming%20Zhang"> Yueming Zhang</a>, <a href="https://publications.waset.org/abstracts/search?q=Jing%20Zhao"> Jing Zhao</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The output error of the globoidal cam mechanism can be considered as a relevant indicator of mechanism performance, because it determines kinematic and dynamical behavior of mechanical transmission. Based on the differential geometry and the rigid body transformations, the mathematical model of surface geometry of the globoidal cam is established. Then we present the analytical expression of the output error (including the transmission error and the displacement error along the output axis) by considering different manufacture and assembly errors. The effects of the center distance error, the perpendicular error between input and output axes and the rotational angle error of the globoidal cam on the output error are systematically analyzed. A globoidal cam mechanism which is widely used in automatic tool changer of CNC machines is applied for illustration. Our results show that the perpendicular error and the rotational angle error have little effects on the transmission error but have great effects on the displacement error along the output axis. This study plays an important role in the design, manufacture and assembly of the globoidal cam mechanism. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=globoidal%20cam%20mechanism" title="globoidal cam mechanism">globoidal cam mechanism</a>, <a href="https://publications.waset.org/abstracts/search?q=manufacture%20error" title=" manufacture error"> manufacture error</a>, <a href="https://publications.waset.org/abstracts/search?q=transmission%20error" title=" transmission error"> transmission error</a>, <a href="https://publications.waset.org/abstracts/search?q=automatic%20tool%20changer" title=" automatic tool changer"> automatic tool changer</a> </p> <a href="https://publications.waset.org/abstracts/33472/effects-of-manufacture-and-assembly-errors-on-the-output-error-of-globoidal-cam-mechanisms" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/33472.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">574</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">5197</span> Bit Error Rate (BER) Performance of Coherent Homodyne BPSK-OCDMA Network for Multimedia Applications</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Morsy%20Ahmed%20Morsy%20Ismail">Morsy Ahmed Morsy Ismail</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this paper, the structure of a coherent homodyne receiver for the Binary Phase Shift Keying (BPSK) Optical Code Division Multiple Access (OCDMA) network is introduced based on the Multi-Length Weighted Modified Prime Code (ML-WMPC) for multimedia applications. The Bit Error Rate (BER) of this homodyne detection is evaluated as a function of the number of active users and the signal to noise ratio for different code lengths according to the multimedia application such as audio, voice, and video. Besides, the Mach-Zehnder interferometer is used as an external phase modulator in homodyne detection. Furthermore, the Multiple Access Interference (MAI) and the receiver noise in a shot-noise limited regime are taken into consideration in the BER calculations. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=OCDMA%20networks" title="OCDMA networks">OCDMA networks</a>, <a href="https://publications.waset.org/abstracts/search?q=bit%20error%20rate" title=" bit error rate"> bit error rate</a>, <a href="https://publications.waset.org/abstracts/search?q=multiple%20access%20interference" title=" multiple access interference"> multiple access interference</a>, <a href="https://publications.waset.org/abstracts/search?q=binary%20phase-shift%20keying" title=" binary phase-shift keying"> binary phase-shift keying</a>, <a href="https://publications.waset.org/abstracts/search?q=multimedia" title=" multimedia"> multimedia</a> </p> <a href="https://publications.waset.org/abstracts/142901/bit-error-rate-ber-performance-of-coherent-homodyne-bpsk-ocdma-network-for-multimedia-applications" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/142901.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">175</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">5196</span> Exploring Bidirectional Encoder Representations from the Transformers’ Capabilities to Detect English Preposition Errors</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Dylan%20Elliott">Dylan Elliott</a>, <a href="https://publications.waset.org/abstracts/search?q=Katya%20Pertsova"> Katya Pertsova</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Preposition errors are some of the most common errors created by L2 speakers. In addition, improving error correction and detection methods remains an open issue in the realm of Natural Language Processing (NLP). This research investigates whether the bidirectional encoder representations from the transformers model (BERT) have the potential to correct preposition errors accurately enough to be useful in error correction software. This research finds that BERT performs strongly when the scope of its error correction is limited to preposition choice. The researchers used an open-source BERT model and over three hundred thousand edited sentences from Wikipedia, tagged for part of speech, where only a preposition edit had occurred. To test BERT’s ability to detect errors, a technique known as multi-level masking was used to generate suggestions based on sentence context for every prepositional environment in the test data. These suggestions were compared with the original errors in the data and their known corrections to evaluate BERT’s performance. The suggestions were further analyzed to determine if BERT more often agreed with the judgements of the Wikipedia editors. Both the untrained and fined-tuned models were compared. Finetuning led to a greater rate of error-detection which significantly improved recall, but lowered precision due to an increase in false positives or falsely flagged errors. However, in most cases, these false positives were not errors in preposition usage but merely cases where more than one preposition was possible. Furthermore, when BERT correctly identified an error, the model largely agreed with the Wikipedia editors, suggesting that BERT’s ability to detect misused prepositions is better than previously believed. To evaluate to what extent BERT’s false positives were grammatical suggestions, we plan to do a further crowd-sourcing study to test the grammaticality of BERT’s suggested sentence corrections against native speakers’ judgments. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=BERT" title="BERT">BERT</a>, <a href="https://publications.waset.org/abstracts/search?q=grammatical%20error%20correction" title=" grammatical error correction"> grammatical error correction</a>, <a href="https://publications.waset.org/abstracts/search?q=preposition%20error%20detection" title=" preposition error detection"> preposition error detection</a>, <a href="https://publications.waset.org/abstracts/search?q=prepositions" title=" prepositions"> prepositions</a> </p> <a href="https://publications.waset.org/abstracts/152314/exploring-bidirectional-encoder-representations-from-the-transformers-capabilities-to-detect-english-preposition-errors" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/152314.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">147</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">5195</span> Adaptive Decision Feedback Equalizer Utilizing Fixed-Step Error Signal for Multi-Gbps Serial Links</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Alaa%20Abdullah%20Altaee">Alaa Abdullah Altaee</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper presents an adaptive decision feedback equalizer (ADFE) for multi-Gbps serial links utilizing a fix-step error signal extracted from cross-points of received data symbols. The extracted signal is generated based on violation of received data symbols with minimum detection requirements at the clock and data recovery (CDR) stage. The iterations of the adaptation process search for the optimum feedback tap coefficients to maximize the data eye-opening and minimize the adaptation convergence time. The effectiveness of the proposed architecture is validated using the simulation results of a serial link designed in an IBM 130 nm 1.2V CMOS technology. The data link with variable channel lengths is analyzed using Spectre from Cadence Design Systems with BSIM4 device models. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=adaptive%20DFE" title="adaptive DFE">adaptive DFE</a>, <a href="https://publications.waset.org/abstracts/search?q=CMOS%20equalizer" title=" CMOS equalizer"> CMOS equalizer</a>, <a href="https://publications.waset.org/abstracts/search?q=error%20detection" title=" error detection"> error detection</a>, <a href="https://publications.waset.org/abstracts/search?q=serial%20links" title=" serial links"> serial links</a>, <a href="https://publications.waset.org/abstracts/search?q=timing%20jitter" title=" timing jitter"> timing jitter</a>, <a href="https://publications.waset.org/abstracts/search?q=wire-line%20communication" title=" wire-line communication"> wire-line communication</a> </p> <a href="https://publications.waset.org/abstracts/133833/adaptive-decision-feedback-equalizer-utilizing-fixed-step-error-signal-for-multi-gbps-serial-links" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/133833.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">120</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">5194</span> Imp_hist-Si: Improved Hybrid Image Segmentation Technique for Satellite Imagery to Decrease the Segmentation Error Rate</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Neetu%20Manocha">Neetu Manocha</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Image segmentation is a technique where a picture is parted into distinct parts having similar features which have a place with similar items. Various segmentation strategies have been proposed as of late by prominent analysts. But, after ultimate thorough research, the novelists have analyzed that generally, the old methods do not decrease the segmentation error rate. Then author finds the technique HIST-SI to decrease the segmentation error rates. In this technique, cluster-based and threshold-based segmentation techniques are merged together. After then, to improve the result of HIST-SI, the authors added the method of filtering and linking in this technique named Imp_HIST-SI to decrease the segmentation error rates. The goal of this research is to find a new technique to decrease the segmentation error rates and produce much better results than the HIST-SI technique. For testing the proposed technique, a dataset of Bhuvan – a National Geoportal developed and hosted by ISRO (Indian Space Research Organisation) is used. Experiments are conducted using Scikit-image & OpenCV tools of Python, and performance is evaluated and compared over various existing image segmentation techniques for several matrices, i.e., Mean Square Error (MSE) and Peak Signal Noise Ratio (PSNR). <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=satellite%20image" title="satellite image">satellite image</a>, <a href="https://publications.waset.org/abstracts/search?q=image%20segmentation" title=" image segmentation"> image segmentation</a>, <a href="https://publications.waset.org/abstracts/search?q=edge%20detection" title=" edge detection"> edge detection</a>, <a href="https://publications.waset.org/abstracts/search?q=error%20rate" title=" error rate"> error rate</a>, <a href="https://publications.waset.org/abstracts/search?q=MSE" title=" MSE"> MSE</a>, <a href="https://publications.waset.org/abstracts/search?q=PSNR" title=" PSNR"> PSNR</a>, <a href="https://publications.waset.org/abstracts/search?q=HIST-SI" title=" HIST-SI"> HIST-SI</a>, <a href="https://publications.waset.org/abstracts/search?q=linking" title=" linking"> linking</a>, <a href="https://publications.waset.org/abstracts/search?q=filtering" title=" filtering"> filtering</a>, <a href="https://publications.waset.org/abstracts/search?q=imp_HIST-SI" title=" imp_HIST-SI"> imp_HIST-SI</a> </p> <a href="https://publications.waset.org/abstracts/149905/imp-hist-si-improved-hybrid-image-segmentation-technique-for-satellite-imagery-to-decrease-the-segmentation-error-rate" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/149905.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">141</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">5193</span> Intrusion Detection Using Dual Artificial Techniques</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Rana%20I.%20Abdulghani">Rana I. Abdulghani</a>, <a href="https://publications.waset.org/abstracts/search?q=Amera%20I.%20Melhum"> Amera I. Melhum</a> </p> <p class="card-text"><strong>Abstract:</strong></p> With the abnormal growth of the usage of computers over networks and under the consideration or agreement of most of the computer security experts who said that the goal of building a secure system is never achieved effectively, all these points led to the design of the intrusion detection systems(IDS). This research adopts a comparison between two techniques for network intrusion detection, The first one used the (Particles Swarm Optimization) that fall within the field (Swarm Intelligence). In this Act, the algorithm Enhanced for the purpose of obtaining the minimum error rate by amending the cluster centers when better fitness function is found through the training stages. Results show that this modification gives more efficient exploration of the original algorithm. The second algorithm used a (Back propagation NN) algorithm. Finally a comparison between the results of two methods used were based on (NSL_KDD) data sets for the construction and evaluation of intrusion detection systems. This research is only interested in clustering the two categories (Normal and Abnormal) for the given connection records. Practices experiments result in intrude detection rate (99.183818%) for EPSO and intrude detection rate (69.446416%) for BP neural network. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=IDS" title="IDS">IDS</a>, <a href="https://publications.waset.org/abstracts/search?q=SI" title=" SI"> SI</a>, <a href="https://publications.waset.org/abstracts/search?q=BP" title=" BP"> BP</a>, <a href="https://publications.waset.org/abstracts/search?q=NSL_KDD" title=" NSL_KDD"> NSL_KDD</a>, <a href="https://publications.waset.org/abstracts/search?q=PSO" title=" PSO"> PSO</a> </p> <a href="https://publications.waset.org/abstracts/26515/intrusion-detection-using-dual-artificial-techniques" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/26515.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">382</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">5192</span> Error Detection and Correction for Onboard Satellite Computers Using Hamming Code</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Rafsan%20Al%20Mamun">Rafsan Al Mamun</a>, <a href="https://publications.waset.org/abstracts/search?q=Md.%20Motaharul%20Islam"> Md. Motaharul Islam</a>, <a href="https://publications.waset.org/abstracts/search?q=Rabana%20Tajrin"> Rabana Tajrin</a>, <a href="https://publications.waset.org/abstracts/search?q=Nabiha%20Noor"> Nabiha Noor</a>, <a href="https://publications.waset.org/abstracts/search?q=Shafinaz%20Qader"> Shafinaz Qader</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In an attempt to enrich the lives of billions of people by providing proper information, security and a way of communicating with others, the need for efficient and improved satellites is constantly growing. Thus, there is an increasing demand for better error detection and correction (EDAC) schemes, which are capable of protecting the data onboard the satellites. The paper is aimed towards detecting and correcting such errors using a special algorithm called the Hamming Code, which uses the concept of parity and parity bits to prevent single-bit errors onboard a satellite in Low Earth Orbit. This paper focuses on the study of Low Earth Orbit satellites and the process of generating the Hamming Code matrix to be used for EDAC using computer programs. The most effective version of Hamming Code generated was the Hamming (16, 11, 4) version using MATLAB, and the paper compares this particular scheme with other EDAC mechanisms, including other versions of Hamming Codes and Cyclic Redundancy Check (CRC), and the limitations of this scheme. This particular version of the Hamming Code guarantees single-bit error corrections as well as double-bit error detections. Furthermore, this version of Hamming Code has proved to be fast with a checking time of 5.669 nanoseconds, that has a relatively higher code rate and lower bit overhead compared to the other versions and can detect a greater percentage of errors per length of code than other EDAC schemes with similar capabilities. In conclusion, with the proper implementation of the system, it is quite possible to ensure a relatively uncorrupted satellite storage system. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=bit-flips" title="bit-flips">bit-flips</a>, <a href="https://publications.waset.org/abstracts/search?q=Hamming%20code" title=" Hamming code"> Hamming code</a>, <a href="https://publications.waset.org/abstracts/search?q=low%20earth%20orbit" title=" low earth orbit"> low earth orbit</a>, <a href="https://publications.waset.org/abstracts/search?q=parity%20bits" title=" parity bits"> parity bits</a>, <a href="https://publications.waset.org/abstracts/search?q=satellite" title=" satellite"> satellite</a>, <a href="https://publications.waset.org/abstracts/search?q=single%20error%20upset" title=" single error upset"> single error upset</a> </p> <a href="https://publications.waset.org/abstracts/122077/error-detection-and-correction-for-onboard-satellite-computers-using-hamming-code" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/122077.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">130</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">5191</span> Attention-Based Spatio-Temporal Approach for Fire and Smoke Detection</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Alireza%20Mirrashid">Alireza Mirrashid</a>, <a href="https://publications.waset.org/abstracts/search?q=Mohammad%20Khoshbin"> Mohammad Khoshbin</a>, <a href="https://publications.waset.org/abstracts/search?q=Ali%20Atghaei"> Ali Atghaei</a>, <a href="https://publications.waset.org/abstracts/search?q=Hassan%20Shahbazi"> Hassan Shahbazi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In various industries, smoke and fire are two of the most important threats in the workplace. One of the common methods for detecting smoke and fire is the use of infrared thermal and smoke sensors, which cannot be used in outdoor applications. Therefore, the use of vision-based methods seems necessary. The problem of smoke and fire detection is spatiotemporal and requires spatiotemporal solutions. This paper presents a method that uses spatial features along with temporal-based features to detect smoke and fire in the scene. It consists of three main parts; the task of each part is to reduce the error of the previous part so that the final model has a robust performance. This method also uses transformer modules to increase the accuracy of the model. The results of our model show the proper performance of the proposed approach in solving the problem of smoke and fire detection and can be used to increase workplace safety. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=attention" title="attention">attention</a>, <a href="https://publications.waset.org/abstracts/search?q=fire%20detection" title=" fire detection"> fire detection</a>, <a href="https://publications.waset.org/abstracts/search?q=smoke%20detection" title=" smoke detection"> smoke detection</a>, <a href="https://publications.waset.org/abstracts/search?q=spatio-temporal" title=" spatio-temporal"> spatio-temporal</a> </p> <a href="https://publications.waset.org/abstracts/153248/attention-based-spatio-temporal-approach-for-fire-and-smoke-detection" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/153248.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">203</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">5190</span> Method of False Alarm Rate Control for Cyclic Redundancy Check-Aided List Decoding of Polar Codes</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Dmitry%20Dikarev">Dmitry Dikarev</a>, <a href="https://publications.waset.org/abstracts/search?q=Ajit%20Nimbalker"> Ajit Nimbalker</a>, <a href="https://publications.waset.org/abstracts/search?q=Alexei%20Davydov"> Alexei Davydov</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Polar coding is a novel example of error correcting codes, which can achieve Shannon limit at block length N→∞ with log-linear complexity. Active research is being carried to adopt this theoretical concept for using in practical applications such as 5th generation wireless communication systems. Cyclic redundancy check (CRC) error detection code is broadly used in conjunction with successive cancellation list (SCL) decoding algorithm to improve finite-length polar code performance. However, there are two issues: increase of code block payload overhead by CRC bits and decrease of CRC error-detection capability. This paper proposes a method to control CRC overhead and false alarm rate of polar decoding. As shown in the computer simulations results, the proposed method provides the ability to use any set of CRC polynomials with any list size while maintaining the desired level of false alarm rate. This level of flexibility allows using polar codes in 5G New Radio standard. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=5G%20New%20Radio" title="5G New Radio">5G New Radio</a>, <a href="https://publications.waset.org/abstracts/search?q=channel%20coding" title=" channel coding"> channel coding</a>, <a href="https://publications.waset.org/abstracts/search?q=cyclic%20redundancy%20check" title=" cyclic redundancy check"> cyclic redundancy check</a>, <a href="https://publications.waset.org/abstracts/search?q=list%20decoding" title=" list decoding"> list decoding</a>, <a href="https://publications.waset.org/abstracts/search?q=polar%20codes" title=" polar codes"> polar codes</a> </p> <a href="https://publications.waset.org/abstracts/85145/method-of-false-alarm-rate-control-for-cyclic-redundancy-check-aided-list-decoding-of-polar-codes" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/85145.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">238</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">5189</span> Relevancy Measures of Errors in Displacements of Finite Elements Analysis Results</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=A.%20B.%20Bolkhir">A. B. Bolkhir</a>, <a href="https://publications.waset.org/abstracts/search?q=A.%20Elshafie"> A. Elshafie</a>, <a href="https://publications.waset.org/abstracts/search?q=T.%20K.%20Yousif"> T. K. Yousif</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper highlights the methods of error estimation in finite element analysis (FEA) results. It indicates that the modeling error could be eliminated by performing finite element analysis with successively finer meshes or by extrapolating response predictions from an orderly sequence of relatively low degree of freedom analysis results. In addition, the paper eliminates the round-off error by running the code at a higher precision. The paper provides application in finite element analysis results. It draws a conclusion based on results of application of methods of error estimation. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=finite%20element%20analysis%20%28FEA%29" title="finite element analysis (FEA)">finite element analysis (FEA)</a>, <a href="https://publications.waset.org/abstracts/search?q=discretization%20error" title=" discretization error"> discretization error</a>, <a href="https://publications.waset.org/abstracts/search?q=round-off%20error" title=" round-off error"> round-off error</a>, <a href="https://publications.waset.org/abstracts/search?q=mesh%20refinement" title=" mesh refinement"> mesh refinement</a>, <a href="https://publications.waset.org/abstracts/search?q=richardson%20extrapolation" title=" richardson extrapolation"> richardson extrapolation</a>, <a href="https://publications.waset.org/abstracts/search?q=monotonic%20convergence" title=" monotonic convergence"> monotonic convergence</a> </p> <a href="https://publications.waset.org/abstracts/37639/relevancy-measures-of-errors-in-displacements-of-finite-elements-analysis-results" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/37639.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">496</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">5188</span> Medical Image Watermark and Tamper Detection Using Constant Correlation Spread Spectrum Watermarking</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Peter%20U.%20Eze">Peter U. Eze</a>, <a href="https://publications.waset.org/abstracts/search?q=P.%20Udaya"> P. Udaya</a>, <a href="https://publications.waset.org/abstracts/search?q=Robin%20J.%20Evans"> Robin J. Evans</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Data hiding can be achieved by Steganography or invisible digital watermarking. For digital watermarking, both accurate retrieval of the embedded watermark and the integrity of the cover image are important. Medical image security in Teleradiology is one of the applications where the embedded patient record needs to be extracted with accuracy as well as the medical image integrity verified. In this research paper, the Constant Correlation Spread Spectrum digital watermarking for medical image tamper detection and accurate embedded watermark retrieval is introduced. In the proposed method, a watermark bit from a patient record is spread in a medical image sub-block such that the correlation of all watermarked sub-blocks with a spreading code, W, would have a constant value, <em>p.</em> The constant correlation <em>p</em>, spreading code, W and the size of the sub-blocks constitute the secret key. Tamper detection is achieved by flagging any sub-block whose correlation value deviates by more than a small value, ℇ, from <em>p</em>. The major features of our new scheme include: (1) Improving watermark detection accuracy for high-pixel depth medical images by reducing the Bit Error Rate (BER) to Zero and (2) block-level tamper detection in a single computational process with simultaneous watermark detection, thereby increasing utility with the same computational cost. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Constant%20Correlation" title="Constant Correlation">Constant Correlation</a>, <a href="https://publications.waset.org/abstracts/search?q=Medical%20Image" title=" Medical Image"> Medical Image</a>, <a href="https://publications.waset.org/abstracts/search?q=Spread%20Spectrum" title=" Spread Spectrum"> Spread Spectrum</a>, <a href="https://publications.waset.org/abstracts/search?q=Tamper%20Detection" title=" Tamper Detection"> Tamper Detection</a>, <a href="https://publications.waset.org/abstracts/search?q=Watermarking" title=" Watermarking"> Watermarking</a> </p> <a href="https://publications.waset.org/abstracts/84629/medical-image-watermark-and-tamper-detection-using-constant-correlation-spread-spectrum-watermarking" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/84629.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">194</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">5187</span> Calibration of the Radical Installation Limit Error of the Accelerometer in the Gravity Gradient Instrument</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Danni%20Cong">Danni Cong</a>, <a href="https://publications.waset.org/abstracts/search?q=Meiping%20Wu"> Meiping Wu</a>, <a href="https://publications.waset.org/abstracts/search?q=Xiaofeng%20He"> Xiaofeng He</a>, <a href="https://publications.waset.org/abstracts/search?q=Junxiang%20Lian"> Junxiang Lian</a>, <a href="https://publications.waset.org/abstracts/search?q=Juliang%20Cao"> Juliang Cao</a>, <a href="https://publications.waset.org/abstracts/search?q=Shaokuncai"> Shaokuncai</a>, <a href="https://publications.waset.org/abstracts/search?q=Hao%20Qin"> Hao Qin</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Gravity gradient instrument (GGI) is the core of the gravity gradiometer, so the structural error of the sensor has a great impact on the measurement results. In order not to affect the aimed measurement accuracy, limit error is required in the installation of the accelerometer. In this paper, based on the established measuring principle model, the radial installation limit error is calibrated, which is taken as an example to provide a method to calculate the other limit error of the installation under the premise of ensuring the accuracy of the measurement result. This method provides the idea for deriving the limit error of the geometry structure of the sensor, laying the foundation for the mechanical precision design and physical design. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=gravity%20gradient%20sensor" title="gravity gradient sensor">gravity gradient sensor</a>, <a href="https://publications.waset.org/abstracts/search?q=radial%20installation%20limit%20error" title=" radial installation limit error"> radial installation limit error</a>, <a href="https://publications.waset.org/abstracts/search?q=accelerometer" title=" accelerometer"> accelerometer</a>, <a href="https://publications.waset.org/abstracts/search?q=uniaxial%20rotational%20modulation" title=" uniaxial rotational modulation"> uniaxial rotational modulation</a> </p> <a href="https://publications.waset.org/abstracts/75475/calibration-of-the-radical-installation-limit-error-of-the-accelerometer-in-the-gravity-gradient-instrument" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/75475.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">422</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">5186</span> Enhancement of Primary User Detection in Cognitive Radio by Scattering Transform</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=A.%20Moawad">A. Moawad</a>, <a href="https://publications.waset.org/abstracts/search?q=K.%20C.%20Yao"> K. C. Yao</a>, <a href="https://publications.waset.org/abstracts/search?q=A.%20Mansour"> A. Mansour</a>, <a href="https://publications.waset.org/abstracts/search?q=R.%20Gautier"> R. Gautier</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The detecting of an occupied frequency band is a major issue in cognitive radio systems. The detection process becomes difficult if the signal occupying the band of interest has faded amplitude due to multipath effects. These effects make it hard for an occupying user to be detected. This work mitigates the missed-detection problem in the context of cognitive radio in frequency-selective fading channel by proposing blind channel estimation method that is based on scattering transform. By initially applying conventional energy detection, the missed-detection probability is evaluated, and if it is greater than or equal to 50%, channel estimation is applied on the received signal followed by channel equalization to reduce the channel effects. In the proposed channel estimator, we modify the Morlet wavelet by using its first derivative for better frequency resolution. A mathematical description of the modified function and its frequency resolution is formulated in this work. The improved frequency resolution is required to follow the spectral variation of the channel. The channel estimation error is evaluated in the mean-square sense for different channel settings, and energy detection is applied to the equalized received signal. The simulation results show improvement in reducing the missed-detection probability as compared to the detection based on principal component analysis. This improvement is achieved at the expense of increased estimator complexity, which depends on the number of wavelet filters as related to the channel taps. Also, the detection performance shows an improvement in detection probability for low signal-to-noise scenarios over principal component analysis- based energy detection. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=channel%20estimation" title="channel estimation">channel estimation</a>, <a href="https://publications.waset.org/abstracts/search?q=cognitive%20radio" title=" cognitive radio"> cognitive radio</a>, <a href="https://publications.waset.org/abstracts/search?q=scattering%20transform" title=" scattering transform"> scattering transform</a>, <a href="https://publications.waset.org/abstracts/search?q=spectrum%20sensing" title=" spectrum sensing"> spectrum sensing</a> </p> <a href="https://publications.waset.org/abstracts/79688/enhancement-of-primary-user-detection-in-cognitive-radio-by-scattering-transform" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/79688.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">196</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">5185</span> A High Performance Piano Note Recognition Scheme via Precise Onset Detection and Segmented Short-Time Fourier Transform</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sonali%20Banrjee">Sonali Banrjee</a>, <a href="https://publications.waset.org/abstracts/search?q=Swarup%20Kumar%20Mitra"> Swarup Kumar Mitra</a>, <a href="https://publications.waset.org/abstracts/search?q=Aritra%20Acharyya"> Aritra Acharyya</a> </p> <p class="card-text"><strong>Abstract:</strong></p> A piano note recognition method has been proposed by the authors in this paper. The authors have used a comprehensive method for onset detection of each note present in a piano piece followed by segmented short-time Fourier transform (STFT) for the identification of piano notes. The performance evaluation of the proposed method has been carried out in different harsh noisy environments by adding different levels of additive white Gaussian noise (AWGN) having different signal-to-noise ratio (SNR) in the original signal and evaluating the note detection error rate (NDER) of different piano pieces consisting of different number of notes at different SNR levels. The NDER is found to be remained within 15% for all piano pieces under consideration when the SNR is kept above 8 dB. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=AWGN" title="AWGN">AWGN</a>, <a href="https://publications.waset.org/abstracts/search?q=onset%20detection" title=" onset detection"> onset detection</a>, <a href="https://publications.waset.org/abstracts/search?q=piano%20note" title=" piano note"> piano note</a>, <a href="https://publications.waset.org/abstracts/search?q=STFT" title=" STFT"> STFT</a> </p> <a href="https://publications.waset.org/abstracts/96023/a-high-performance-piano-note-recognition-scheme-via-precise-onset-detection-and-segmented-short-time-fourier-transform" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/96023.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">160</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">5184</span> High Capacity Reversible Watermarking through Interpolated Error Shifting</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Hae-Yeoun%20Lee">Hae-Yeoun Lee</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Reversible watermarking that not only protects the copyright but also preserve the original quality of the digital content have been intensively studied. In particular, the demand for reversible watermarking has increased. In this paper, we propose a reversible watermarking scheme based on interpolation-error shifting and error precompensation. The intensity of a pixel is interpolated from the intensities of neighbouring pixels, and the difference histogram between the interpolated and the original intensities is obtained and modified to embed the watermark message. By restoring the difference histogram, the embedded watermark is extracted and the original image is recovered by compensating for the interpolation error. The overflow and underflow are prevented by error precompensation. To show the performance of the method, the proposed algorithm is compared with other methods using various test images. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=reversible%20watermarking" title="reversible watermarking">reversible watermarking</a>, <a href="https://publications.waset.org/abstracts/search?q=high%20capacity" title=" high capacity"> high capacity</a>, <a href="https://publications.waset.org/abstracts/search?q=high%20quality" title=" high quality"> high quality</a>, <a href="https://publications.waset.org/abstracts/search?q=interpolated%20error%20shifting" title=" interpolated error shifting"> interpolated error shifting</a>, <a href="https://publications.waset.org/abstracts/search?q=error%20precompensation" title=" error precompensation"> error precompensation</a> </p> <a href="https://publications.waset.org/abstracts/7023/high-capacity-reversible-watermarking-through-interpolated-error-shifting" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/7023.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">322</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">5183</span> Bidirectional Long Short-Term Memory-Based Signal Detection for Orthogonal Frequency Division Multiplexing With All Index Modulation</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mahmut%20Yildirim">Mahmut Yildirim</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper proposed the bidirectional long short-term memory (Bi-LSTM) network-aided deep learning (DL)-based signal detection for Orthogonal frequency division multiplexing with all index modulation (OFDM-AIM), namely Bi-DeepAIM. OFDM-AIM is developed to increase the spectral efficiency of OFDM with index modulation (OFDM-IM), a promising multi-carrier technique for communication systems beyond 5G. In this paper, due to its strong classification ability, Bi-LSTM is considered an alternative to the maximum likelihood (ML) algorithm, which is used for signal detection in the classical OFDM-AIM scheme. The performance of the Bi-DeepAIM is compared with LSTM network-aided DL-based OFDM-AIM (DeepAIM) and classic OFDM-AIM that uses (ML)-based signal detection via BER performance and computational time criteria. Simulation results show that Bi-DeepAIM obtains better bit error rate (BER) performance than DeepAIM and lower computation time in signal detection than ML-AIM. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=bidirectional%20long%20short-term%20memory" title="bidirectional long short-term memory">bidirectional long short-term memory</a>, <a href="https://publications.waset.org/abstracts/search?q=deep%20learning" title=" deep learning"> deep learning</a>, <a href="https://publications.waset.org/abstracts/search?q=maximum%20likelihood" title=" maximum likelihood"> maximum likelihood</a>, <a href="https://publications.waset.org/abstracts/search?q=OFDM%20with%20all%20index%20modulation" title=" OFDM with all index modulation"> OFDM with all index modulation</a>, <a href="https://publications.waset.org/abstracts/search?q=signal%20detection" title=" signal detection"> signal detection</a> </p> <a href="https://publications.waset.org/abstracts/183512/bidirectional-long-short-term-memory-based-signal-detection-for-orthogonal-frequency-division-multiplexing-with-all-index-modulation" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/183512.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">72</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">5182</span> Efficient Signal Detection Using QRD-M Based on Channel Condition in MIMO-OFDM System</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Jae-Jeong%20Kim">Jae-Jeong Kim</a>, <a href="https://publications.waset.org/abstracts/search?q=Ki-Ro%20Kim"> Ki-Ro Kim</a>, <a href="https://publications.waset.org/abstracts/search?q=Hyoung-Kyu%20Song"> Hyoung-Kyu Song</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this paper, we propose an efficient signal detector that switches M parameter of QRD-M detection scheme is proposed for MIMO-OFDM system. The proposed detection scheme calculates the threshold by 1-norm condition number and then switches M parameter of QRD-M detection scheme according to channel information. If channel condition is bad, the parameter M is set to high value to increase the accuracy of detection. If channel condition is good, the parameter M is set to low value to reduce complexity of detection. Therefore, the proposed detection scheme has better trade off between BER performance and complexity than the conventional detection scheme. The simulation result shows that the complexity of proposed detection scheme is lower than QRD-M detection scheme with similar BER performance. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=MIMO-OFDM" title="MIMO-OFDM">MIMO-OFDM</a>, <a href="https://publications.waset.org/abstracts/search?q=QRD-M" title=" QRD-M"> QRD-M</a>, <a href="https://publications.waset.org/abstracts/search?q=channel%20condition" title=" channel condition"> channel condition</a>, <a href="https://publications.waset.org/abstracts/search?q=BER" title=" BER"> BER</a> </p> <a href="https://publications.waset.org/abstracts/3518/efficient-signal-detection-using-qrd-m-based-on-channel-condition-in-mimo-ofdm-system" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/3518.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">370</span> </span> </div> </div> <ul class="pagination"> <li class="page-item disabled"><span class="page-link">&lsaquo;</span></li> <li class="page-item active"><span class="page-link">1</span></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=error%20detection&page=2">2</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=error%20detection&page=3">3</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=error%20detection&page=4">4</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=error%20detection&page=5">5</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=error%20detection&page=6">6</a></li> <li class="page-item"><a class="page-link" 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