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order of basic features</title> <meta name="description" content="Search results for: priority order of basic features"> <meta name="keywords" content="priority order of basic features"> <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" /> 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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="priority order of basic features"> <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> 19711</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: priority order of basic features</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">19711</span> Using Priority Order of Basic Features for Circumscribed Masses Detection in Mammograms</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Minh%20Dong%20Le">Minh Dong Le</a>, <a href="https://publications.waset.org/abstracts/search?q=Viet%20Dung%20Nguyen"> Viet Dung Nguyen</a>, <a href="https://publications.waset.org/abstracts/search?q=Do%20Huu%20Viet"> Do Huu Viet</a>, <a href="https://publications.waset.org/abstracts/search?q=Nguyen%20Huu%20Tu"> Nguyen Huu Tu</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this paper, we present a new method for circumscribed masses detection in mammograms. Our method is evaluated on 23 mammographic images of circumscribed masses and 20 normal mammograms from public Mini-MIAS database. The method is quite sanguine with sensitivity (SE) of 95% with only about 1 false positive per image (FPpI). To achieve above results we carry out a progression following: Firstly, the input images are preprocessed with the aim to enhance key information of circumscribed masses; Next, we calculate and evaluate statistically basic features of abnormal regions on training database; Then, mammograms on testing database are divided into equal blocks which calculated corresponding features. Finally, using priority order of basic features to classify blocks as an abnormal or normal regions. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=mammograms" title="mammograms">mammograms</a>, <a href="https://publications.waset.org/abstracts/search?q=circumscribed%20masses" title=" circumscribed masses"> circumscribed masses</a>, <a href="https://publications.waset.org/abstracts/search?q=evaluated%20statistically" title=" evaluated statistically"> evaluated statistically</a>, <a href="https://publications.waset.org/abstracts/search?q=priority%20order%20of%20basic%20features" title=" priority order of basic features"> priority order of basic features</a> </p> <a href="https://publications.waset.org/abstracts/48163/using-priority-order-of-basic-features-for-circumscribed-masses-detection-in-mammograms" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/48163.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">334</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">19710</span> Music Genre Classification Based on Non-Negative Matrix Factorization Features</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Soyon%20Kim">Soyon Kim</a>, <a href="https://publications.waset.org/abstracts/search?q=Edward%20Kim"> Edward Kim</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In order to retrieve information from the massive stream of songs in the music industry, music search by title, lyrics, artist, mood, and genre has become more important. Despite the subjectivity and controversy over the definition of music genres across different nations and cultures, automatic genre classification systems that facilitate the process of music categorization have been developed. Manual genre selection by music producers is being provided as statistical data for designing automatic genre classification systems. In this paper, an automatic music genre classification system utilizing non-negative matrix factorization (NMF) is proposed. Short-term characteristics of the music signal can be captured based on the timbre features such as mel-frequency cepstral coefficient (MFCC), decorrelated filter bank (DFB), octave-based spectral contrast (OSC), and octave band sum (OBS). Long-term time-varying characteristics of the music signal can be summarized with (1) the statistical features such as mean, variance, minimum, and maximum of the timbre features and (2) the modulation spectrum features such as spectral flatness measure, spectral crest measure, spectral peak, spectral valley, and spectral contrast of the timbre features. Not only these conventional basic long-term feature vectors, but also NMF based feature vectors are proposed to be used together for genre classification. In the training stage, NMF basis vectors were extracted for each genre class. The NMF features were calculated in the log spectral magnitude domain (NMF-LSM) as well as in the basic feature vector domain (NMF-BFV). For NMF-LSM, an entire full band spectrum was used. However, for NMF-BFV, only low band spectrum was used since high frequency modulation spectrum of the basic feature vectors did not contain important information for genre classification. In the test stage, using the set of pre-trained NMF basis vectors, the genre classification system extracted the NMF weighting values of each genre as the NMF feature vectors. A support vector machine (SVM) was used as a classifier. The GTZAN multi-genre music database was used for training and testing. It is composed of 10 genres and 100 songs for each genre. To increase the reliability of the experiments, 10-fold cross validation was used. For a given input song, an extracted NMF-LSM feature vector was composed of 10 weighting values that corresponded to the classification probabilities for 10 genres. An NMF-BFV feature vector also had a dimensionality of 10. Combined with the basic long-term features such as statistical features and modulation spectrum features, the NMF features provided the increased accuracy with a slight increase in feature dimensionality. The conventional basic features by themselves yielded 84.0% accuracy, but the basic features with NMF-LSM and NMF-BFV provided 85.1% and 84.2% accuracy, respectively. The basic features required dimensionality of 460, but NMF-LSM and NMF-BFV required dimensionalities of 10 and 10, respectively. Combining the basic features, NMF-LSM and NMF-BFV together with the SVM with a radial basis function (RBF) kernel produced the significantly higher classification accuracy of 88.3% with a feature dimensionality of 480. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=mel-frequency%20cepstral%20coefficient%20%28MFCC%29" title="mel-frequency cepstral coefficient (MFCC)">mel-frequency cepstral coefficient (MFCC)</a>, <a href="https://publications.waset.org/abstracts/search?q=music%20genre%20classification" title=" music genre classification"> music genre classification</a>, <a href="https://publications.waset.org/abstracts/search?q=non-negative%20matrix%20factorization%20%28NMF%29" title=" non-negative matrix factorization (NMF)"> non-negative matrix factorization (NMF)</a>, <a href="https://publications.waset.org/abstracts/search?q=support%20vector%20machine%20%28SVM%29" title=" support vector machine (SVM)"> support vector machine (SVM)</a> </p> <a href="https://publications.waset.org/abstracts/89349/music-genre-classification-based-on-non-negative-matrix-factorization-features" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/89349.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">303</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">19709</span> Repair Workshop Queue System Modification Using Priority Scheme</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=C.%20Okonkwo%20Ugochukwu">C. Okonkwo Ugochukwu</a>, <a href="https://publications.waset.org/abstracts/search?q=E.%20Sinebe%20Jude"> E. Sinebe Jude</a>, <a href="https://publications.waset.org/abstracts/search?q=N.%20Odoh%20Blessing"> N. Odoh Blessing</a>, <a href="https://publications.waset.org/abstracts/search?q=E.%20Okafor%20Christian"> E. Okafor Christian</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this paper, a modification on repair workshop queuing system using multi priority scheme was carried out. Chi square goodness of fit test was used to determine the random distribution of the inter arrival time and service time of crankshafts that come for maintenance in the workshop. The chi square values obtained for all the prioritized classes show that the distribution conforms to Poisson distribution. The mean waiting time in queue results of non-preemptive priority for 1st, 2nd and 3rd classes show 0.066, 0.09, and 0.224 day respectively, while preemptive priority show 0.007, 0.036 and 0.258 day. However, when non priority is used, which obviously has no class distinction it amounts to 0.17 days. From the results, one can observe that the preemptive priority system provides a very dramatic improvement over the non preemptive priority as it concerns arrivals that are of higher priority. However, the improvement has a detrimental effect on the low priority class. The trend of the results is similar to the mean waiting time in the system as a result of addition of the actual service time. Even though the mean waiting time for the queue and that of the system for no priority takes the least time when compared with the least priority, urgent and semi-urgent jobs will terribly suffer which will most likely result in reneging or balking of many urgent jobs. Hence, the adoption of priority scheme in this type of scenario will result in huge profit to the Company and more customer satisfaction. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=queue" title="queue">queue</a>, <a href="https://publications.waset.org/abstracts/search?q=priority%20class" title=" priority class"> priority class</a>, <a href="https://publications.waset.org/abstracts/search?q=preemptive" title=" preemptive"> preemptive</a>, <a href="https://publications.waset.org/abstracts/search?q=non-preemptive" title=" non-preemptive"> non-preemptive</a>, <a href="https://publications.waset.org/abstracts/search?q=mean%20waiting%20time" title=" mean waiting time"> mean waiting time</a> </p> <a href="https://publications.waset.org/abstracts/69985/repair-workshop-queue-system-modification-using-priority-scheme" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/69985.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">396</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">19708</span> An Online Priority-Configuration Algorithm for Obstacle Avoidance of the Unmanned Air Vehicles Swarm</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Lihua%20Zhu">Lihua Zhu</a>, <a href="https://publications.waset.org/abstracts/search?q=Jianfeng%20Du"> Jianfeng Du</a>, <a href="https://publications.waset.org/abstracts/search?q=Yu%20Wang"> Yu Wang</a>, <a href="https://publications.waset.org/abstracts/search?q=Zhiqiang%20Wu"> Zhiqiang Wu</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Collision avoidance problems of a swarm of unmanned air vehicles (UAVs) flying in an obstacle-laden environment are investigated in this paper. Given that the UAV swarm needs to adapt to the obstacle distribution in dynamic operation, a priority configuration is designed to guide the UAVs to pass through the obstacles in turn. Based on the collision cone approach and the prediction of the collision time, a collision evaluation model is established to judge the urgency of the imminent collision of each UAV, and the evaluation result is used to assign the priority of each UAV to further instruct them going through the obstacles in descending order. At last, the simulation results provide the promising validation in terms of the efficiency and scalability of the proposed approach. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=UAV%20swarm" title="UAV swarm">UAV swarm</a>, <a href="https://publications.waset.org/abstracts/search?q=collision%20avoidance" title=" collision avoidance"> collision avoidance</a>, <a href="https://publications.waset.org/abstracts/search?q=complex%20environment" title=" complex environment"> complex environment</a>, <a href="https://publications.waset.org/abstracts/search?q=online%20priority%20design" title=" online priority design"> online priority design</a> </p> <a href="https://publications.waset.org/abstracts/93689/an-online-priority-configuration-algorithm-for-obstacle-avoidance-of-the-unmanned-air-vehicles-swarm" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/93689.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">214</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">19707</span> The Value of Dynamic Priorities in Motor Learning between Some Basic Skills in Beginner's Basketball, U14 Years</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Guebli%20Abdelkader">Guebli Abdelkader</a>, <a href="https://publications.waset.org/abstracts/search?q=Regiueg%20Madani"> Regiueg Madani</a>, <a href="https://publications.waset.org/abstracts/search?q=Sbaa%20Bouabdellah"> Sbaa Bouabdellah</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The goals of this study are to find ways to determine the value of dynamic priorities in motor learning between some basic skills in beginner’s basketball (U14), based on skills of shooting and defense against the shooter. Our role is to expose the statistical results in compare & correlation between samples of study in tests skills for the shooting and defense against the shooter. In order to achieve this objective, we have chosen 40 boys in middle school represented in four groups, two controls group’s (CS1, CS2) ,and two experimental groups (ES1: training on skill of shooting, skill of defense against the shooter, ES2: experimental group training on skill of defense against the shooter, skill of shooting). For the statistical analysis, we have chosen (F & T) tests for the statistical differences, and test (R) for the correlation analysis. Based on the analyses statistics, we confirm the importance of classifying priorities of basketball basic skills during the motor learning process. Admit that the benefits of experimental group training are to economics in the time needed for acquiring new motor kinetic skills in basketball. In the priority of ES2 as successful dynamic motor learning method to enhance the basic skills among beginner’s basketball. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=basic%20skills" title="basic skills">basic skills</a>, <a href="https://publications.waset.org/abstracts/search?q=basketball" title=" basketball"> basketball</a>, <a href="https://publications.waset.org/abstracts/search?q=motor%20learning" title=" motor learning"> motor learning</a>, <a href="https://publications.waset.org/abstracts/search?q=children" title=" children"> children</a> </p> <a href="https://publications.waset.org/abstracts/92495/the-value-of-dynamic-priorities-in-motor-learning-between-some-basic-skills-in-beginners-basketball-u14-years" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/92495.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">170</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">19706</span> Impact of Variability in Delineation on PET Radiomics Features in Lung Tumors</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mahsa%20Falahatpour">Mahsa Falahatpour</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Introduction: This study aims to explore how inter-observer variability in manual tumor segmentation impacts the reliability of radiomic features in non–small cell lung cancer (NSCLC). Methods: The study included twenty-three NSCLC tumors. Each patient had three tumor segmentations (VOL1, VOL2, VOL3) contoured on PET/CT scans by three radiation oncologists. Dice coefficients (DCS) were used to measure the segmentation variability. Radiomic features were extracted with 3D-slicer software, consisting of 66 features: first-order (n=15), second-order (GLCM, GLDM, GLRLM, and GLSZM) (n=33). The inter-observer variability of radiomic features was assessed using the intraclass correlation coefficient (ICC). An ICC > 0.8 indicates good stability. Results: The mean DSC of VOL1, VOL2, and VOL3 was 0.80 ± 0.04, 0.85 ± 0.03, and 0.76 ± 0.06, respectively. 92% of all extracted radiomic features were found to be stable (ICC > 0.8). The GLCM texture features had the highest stability (96%), followed by GLRLM features (90%) and GLSZM features (87%). The DSC was found to be highly correlated with the stability of radiomic features. Conclusion: The variability in inter-observer segmentation significantly impacts radiomics analysis, leading to a reduction in the number of appropriate radiomic features. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=PET%2FCT" title="PET/CT">PET/CT</a>, <a href="https://publications.waset.org/abstracts/search?q=radiomics" title=" radiomics"> radiomics</a>, <a href="https://publications.waset.org/abstracts/search?q=radiotherapy" title=" radiotherapy"> radiotherapy</a>, <a href="https://publications.waset.org/abstracts/search?q=segmentation" title=" segmentation"> segmentation</a>, <a href="https://publications.waset.org/abstracts/search?q=NSCLC" title=" NSCLC"> NSCLC</a> </p> <a href="https://publications.waset.org/abstracts/186981/impact-of-variability-in-delineation-on-pet-radiomics-features-in-lung-tumors" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/186981.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">45</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">19705</span> Prioritization in a Maintenance, Repair and Overhaul (MRO) System Based on Fuzzy Logic at Iran Khodro (IKCO)</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Izadi%20Banafsheh">Izadi Banafsheh</a>, <a href="https://publications.waset.org/abstracts/search?q=Sedaghat%20Reza"> Sedaghat Reza</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Maintenance, Repair, and Overhaul (MRO) of machinery are a key recent issue concerning the automotive industry. It has always been a debated question what order or priority should be adopted for the MRO of machinery. This study attempts to examine several criteria including process sensitivity, average time between machine failures, average duration of repair, availability of parts, availability of maintenance personnel and workload through a literature review and experts survey so as to determine the condition of the machine. According to the mentioned criteria, the machinery were ranked in four modes below: A) Need for inspection, B) Need for minor repair, C) Need for part replacement, and D) Need for major repair. The Fuzzy AHP was employed to determine the weighting of criteria. At the end, the obtained weights were ranked through the AHP for each criterion, three groups were specified: shaving machines, assembly and painting in four modes. The statistical population comprises the elite in the Iranian automotive industry at IKCO covering operation managers, CEOs and maintenance professionals who are highly specialized in MRO and perfectly knowledgeable in how the machinery function. The information required for this study were collected from both desk research and field review, which eventually led to construction of a questionnaire handed out to the sample respondents in order to collect information on the subject matter. The results of the AHP for weighting the criteria revealed that the availability of maintenance personnel was the top priority at coefficient of 0.206, while the process sensitivity took the last priority at coefficient of 0.066. Furthermore, the results of TOPSIS for prioritizing the IKCO machinery suggested that at the mode where there is need for inspection, the assembly machines took the top priority while paining machines took the third priority. As for the mode where there is need for minor repairs, the assembly machines took the top priority while the third priority belonged to the shaving machines. As for the mode where there is need for parts replacement, the assembly machines took the top priority while the third belonged to the paining machinery. Finally, as for the mode where there is need for major repair, the assembly machines took the top priority while the third belonged to the paining machinery. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=maintenance" title="maintenance">maintenance</a>, <a href="https://publications.waset.org/abstracts/search?q=repair" title=" repair"> repair</a>, <a href="https://publications.waset.org/abstracts/search?q=overhaul" title=" overhaul"> overhaul</a>, <a href="https://publications.waset.org/abstracts/search?q=MRO" title=" MRO"> MRO</a>, <a href="https://publications.waset.org/abstracts/search?q=prioritization%20of%20machinery" title=" prioritization of machinery"> prioritization of machinery</a>, <a href="https://publications.waset.org/abstracts/search?q=fuzzy%20logic" title=" fuzzy logic"> fuzzy logic</a>, <a href="https://publications.waset.org/abstracts/search?q=AHP" title=" AHP"> AHP</a>, <a href="https://publications.waset.org/abstracts/search?q=TOPSIS" title=" TOPSIS"> TOPSIS</a> </p> <a href="https://publications.waset.org/abstracts/35379/prioritization-in-a-maintenance-repair-and-overhaul-mro-system-based-on-fuzzy-logic-at-iran-khodro-ikco" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/35379.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">286</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">19704</span> Relaxing Convergence Constraints in Local Priority Hysteresis Switching Logic</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mubarak%20Alhajri">Mubarak Alhajri</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper addresses certain inherent limitations of local priority hysteresis switching logic. Our main result establishes that under persistent excitation assumption, it is possible to relax constraints requiring strict positivity of local priority and hysteresis switching constants. Relaxing these constraints allows the adaptive system to reach optimality which implies the performance improvement. The unconstrained local priority hysteresis switching logic is examined and conditions for global convergence are derived. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=adaptive%20control" title="adaptive control">adaptive control</a>, <a href="https://publications.waset.org/abstracts/search?q=convergence" title=" convergence"> convergence</a>, <a href="https://publications.waset.org/abstracts/search?q=hysteresis%20constant" title=" hysteresis constant"> hysteresis constant</a>, <a href="https://publications.waset.org/abstracts/search?q=hysteresis%20switching" title=" hysteresis switching"> hysteresis switching</a> </p> <a href="https://publications.waset.org/abstracts/61209/relaxing-convergence-constraints-in-local-priority-hysteresis-switching-logic" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/61209.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">393</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">19703</span> Defining Priority Areas for Biodiversity Conservation to Support for Zoning Protected Areas: A Case Study from Vietnam </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Xuan%20Dinh%20Vu">Xuan Dinh Vu</a>, <a href="https://publications.waset.org/abstracts/search?q=Elmar%20Csaplovics"> Elmar Csaplovics</a> </p> <p class="card-text"><strong>Abstract:</strong></p> There has been an increasing need for methods to define priority areas for biodiversity conservation since the effectiveness of biodiversity conservation in protected areas largely depends on the availability of material resources. The identification of priority areas requires the integration of biodiversity data together with social data on human pressures and responses. However, the deficit of comprehensive data and reliable methods becomes a key challenge in zoning where the demand for conservation is most urgent and where the outcomes of conservation strategies can be maximized. In order to fill this gap, the study applied an environmental model Condition–Pressure–Response to suggest a set of criteria to identify priority areas for biodiversity conservation. Our empirical data has been compiled from 185 respondents, categorizing into three main groups: governmental administration, research institutions, and protected areas in Vietnam by using a well - designed questionnaire. Then, the Analytic Hierarchy Process (AHP) theory was used to identify the weight of all criteria. Our results have shown that priority level for biodiversity conservation could be identified by three main indicators: condition, pressure, and response with the value of the weight of 26%, 41%, and 33%, respectively. Based on the three indicators, 7 criteria and 15 sub-criteria were developed to support for defining priority areas for biodiversity conservation and zoning protected areas. In addition, our study also revealed that the groups of governmental administration and protected areas put a focus on the 'Pressure' indicator while the group of Research Institutions emphasized the importance of 'Response' indicator in the evaluation process. Our results provided recommendations to apply the developed criteria for identifying priority areas for biodiversity conservation in Vietnam. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=biodiversity%20conservation" title="biodiversity conservation">biodiversity conservation</a>, <a href="https://publications.waset.org/abstracts/search?q=condition%E2%80%93pressure%E2%80%93response%20model" title=" condition–pressure–response model"> condition–pressure–response model</a>, <a href="https://publications.waset.org/abstracts/search?q=criteria" title=" criteria"> criteria</a>, <a href="https://publications.waset.org/abstracts/search?q=priority%20areas" title=" priority areas"> priority areas</a>, <a href="https://publications.waset.org/abstracts/search?q=protected%20areas" title=" protected areas"> protected areas</a> </p> <a href="https://publications.waset.org/abstracts/105877/defining-priority-areas-for-biodiversity-conservation-to-support-for-zoning-protected-areas-a-case-study-from-vietnam" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/105877.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">170</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">19702</span> Relevant LMA Features for Human Motion Recognition</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Insaf%20Ajili">Insaf Ajili</a>, <a href="https://publications.waset.org/abstracts/search?q=Malik%20Mallem"> Malik Mallem</a>, <a href="https://publications.waset.org/abstracts/search?q=Jean-Yves%20Didier"> Jean-Yves Didier</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Motion recognition from videos is actually a very complex task due to the high variability of motions. This paper describes the challenges of human motion recognition, especially motion representation step with relevant features. Our descriptor vector is inspired from Laban Movement Analysis method. We propose discriminative features using the Random Forest algorithm in order to remove redundant features and make learning algorithms operate faster and more effectively. We validate our method on MSRC-12 and UTKinect datasets. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=discriminative%20LMA%20features" title="discriminative LMA features">discriminative LMA features</a>, <a href="https://publications.waset.org/abstracts/search?q=features%20reduction" title=" features reduction"> features reduction</a>, <a href="https://publications.waset.org/abstracts/search?q=human%20motion%20recognition" title=" human motion recognition"> human motion recognition</a>, <a href="https://publications.waset.org/abstracts/search?q=random%20forest" title=" random forest"> random forest</a> </p> <a href="https://publications.waset.org/abstracts/96299/relevant-lma-features-for-human-motion-recognition" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/96299.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">195</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">19701</span> Contaminated Sites Prioritization Process Promoting and Redevelopment Planning</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Che-An%20Lin">Che-An Lin</a>, <a href="https://publications.waset.org/abstracts/search?q=Wan-Ying%20Tsai"> Wan-Ying Tsai</a>, <a href="https://publications.waset.org/abstracts/search?q=Ying-Shin%20Chen"> Ying-Shin Chen</a>, <a href="https://publications.waset.org/abstracts/search?q=Yu-Jen%20Chung"> Yu-Jen Chung</a> </p> <p class="card-text"><strong>Abstract:</strong></p> With the number and area of contaminated sites continued to increase in Taiwan, the Government have to make a priority list of screening contaminated sites under the limited funds and information. This study investigated the announcement of Taiwan EPA land 261 contaminated sites (except the agricultural lands), after preliminary screening 211 valid data to propose a screening system, removed contaminated sites were used to check the accuracy. This system including two dimensions which can create the sequence and use the XY axis to construct four quadrants. One dimension included environmental and social priority and the other related economic. All of the evaluated items included population density, land values, traffic hub, pollutant compound, pollutant concentrations, pollutant transport pathways, land usage sites, site areas, and water conductivity. The classification results of this screening are 1. Prioritization promoting sites (10%). 2. Environmental and social priority of the sites (17%), 3. Economic priority of the sites (30%), 4. Non-priority sites (43 %). Finally, this study used three of the removed contaminated sites to check screening system verification. As the surmise each of them are in line with the priority site and Economic priority of the site. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=contaminated%20sites" title="contaminated sites">contaminated sites</a>, <a href="https://publications.waset.org/abstracts/search?q=redevelopment" title=" redevelopment"> redevelopment</a>, <a href="https://publications.waset.org/abstracts/search?q=environmental" title=" environmental"> environmental</a>, <a href="https://publications.waset.org/abstracts/search?q=economics" title=" economics"> economics</a> </p> <a href="https://publications.waset.org/abstracts/10954/contaminated-sites-prioritization-process-promoting-and-redevelopment-planning" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/10954.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">483</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">19700</span> Energy-Aware Scheduling in Real-Time Systems: An Analysis of Fair Share Scheduling and Priority-Driven Preemptive Scheduling</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Su%20Xiaohan">Su Xiaohan</a>, <a href="https://publications.waset.org/abstracts/search?q=Jin%20Chicheng"> Jin Chicheng</a>, <a href="https://publications.waset.org/abstracts/search?q=Liu%20Yijing"> Liu Yijing</a>, <a href="https://publications.waset.org/abstracts/search?q=Burra%20Venkata%20Durga%20Kumar"> Burra Venkata Durga Kumar</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Energy-aware scheduling in real-time systems aims to minimize energy consumption, but issues related to resource reservation and timing constraints remain challenges. This study focuses on analyzing two scheduling algorithms, Fair-Share Scheduling (FFS) and Priority-Driven Preemptive Scheduling (PDPS), for solving these issues and energy-aware scheduling in real-time systems. Based on research on both algorithms and the processes of solving two problems, it can be found that Fair-Share Scheduling ensures fair allocation of resources but needs to improve with an imbalanced system load, and Priority-Driven Preemptive Scheduling prioritizes tasks based on criticality to meet timing constraints through preemption but relies heavily on task prioritization and may not be energy efficient. Therefore, improvements to both algorithms with energy-aware features will be proposed. Future work should focus on developing hybrid scheduling techniques that minimize energy consumption through intelligent task prioritization, resource allocation, and meeting time constraints. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=energy-aware%20scheduling" title="energy-aware scheduling">energy-aware scheduling</a>, <a href="https://publications.waset.org/abstracts/search?q=fair-share%20scheduling" title=" fair-share scheduling"> fair-share scheduling</a>, <a href="https://publications.waset.org/abstracts/search?q=priority-driven%20preemptive%20scheduling" title=" priority-driven preemptive scheduling"> priority-driven preemptive scheduling</a>, <a href="https://publications.waset.org/abstracts/search?q=real-time%20systems" title=" real-time systems"> real-time systems</a>, <a href="https://publications.waset.org/abstracts/search?q=optimization" title=" optimization"> optimization</a>, <a href="https://publications.waset.org/abstracts/search?q=resource%20reservation" title=" resource reservation"> resource reservation</a>, <a href="https://publications.waset.org/abstracts/search?q=timing%20constraints" title=" timing constraints"> timing constraints</a> </p> <a href="https://publications.waset.org/abstracts/169550/energy-aware-scheduling-in-real-time-systems-an-analysis-of-fair-share-scheduling-and-priority-driven-preemptive-scheduling" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/169550.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">119</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">19699</span> Effects of Charge Fluctuating Positive Dust on Linear Dust-Acoustic Waves </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sanjit%20Kumar%20Paul">Sanjit Kumar Paul</a>, <a href="https://publications.waset.org/abstracts/search?q=A.%20A.%20Mamun"> A. A. Mamun</a>, <a href="https://publications.waset.org/abstracts/search?q=M.%20R.%20Amin"> M. R. Amin</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The Linear propagation of the dust-acoustic wave in a dusty plasma consisting of Boltzmann distributed electrons and ions and mobile charge fluctuating positive dust grains has been investigated by employing the reductive perturbation method. It has been shown that the dust charge fluctuation is a source of dissipation and its responsible for the formation of the dust-acoustic waves in such a dusty plasma. The basic features of such dust-acoustic waves have been identified. It has been proposed to design a new laboratory experiment which will be able to identify the basic features of the dust-acoustic waves predicted in this theoretical investigation. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=dust%20acoustic%20waves" title="dust acoustic waves">dust acoustic waves</a>, <a href="https://publications.waset.org/abstracts/search?q=dusty%20plasma" title=" dusty plasma"> dusty plasma</a>, <a href="https://publications.waset.org/abstracts/search?q=Boltzmann%20distributed%20electrons" title=" Boltzmann distributed electrons"> Boltzmann distributed electrons</a>, <a href="https://publications.waset.org/abstracts/search?q=charge%20fluctuation" title=" charge fluctuation"> charge fluctuation</a> </p> <a href="https://publications.waset.org/abstracts/8380/effects-of-charge-fluctuating-positive-dust-on-linear-dust-acoustic-waves" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/8380.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">639</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">19698</span> Quantifying the Impact of Intermittent Signal Priority given to BRT on Ridership and Climate-A Case Study of Ahmadabad</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Smita%20Chaudhary">Smita Chaudhary</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Traffic in India are observed uncontrolled, and are characterized by chaotic (not follows the lane discipline) traffic situation. Bus Rapid Transit (BRT) has emerged as a viable option to enhance transportation capacity and provide increased levels of mobility and accessibility. At present in Ahmadabad there are as many intersections which face the congestion and delay at signalized intersection due to transit (BRT) lanes. Most of the intersection in spite of being signalized is operated manually due to the conflict between BRT buses and heterogeneous traffic. Though BRTS in Ahmadabad has an exclusive lane of its own but with this comes certain limitations which Ahmadabad is facing right now. At many intersections in Ahmadabad due to these conflicts, interference, and congestion both heterogeneous traffic as well as transit buses suffer traffic delays of remarkable 3-4 minutes at each intersection which has a become an issue of great concern. There is no provision of BRT bus priority due to which existing signals have their least role to play in managing the traffic that ultimately call for manual operation. There is an immense decrement in the daily ridership of BRTS because people are finding this transit mode no more time saving in their routine, there is an immense fall in ridership ultimately leading to increased number of private vehicles, idling of vehicles at intersection cause air and noise pollution. In order to bring back these commuters’ transit facilities need to be improvised. Classified volume count survey, travel time delay survey was conducted and revised signal design was done for whole study stretch having three intersections and one roundabout, later one intersection was simulated in order to see the effect of giving priority to BRT on side street queue length and travel time for heterogeneous traffic. This paper aims at suggesting the recommendations in signal cycle, introduction of intermittent priority for transit buses, simulation of intersection in study stretch with proposed signal cycle using VISSIM in order to make this transit amenity feasible and attracting for commuters in Ahmadabad. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=BRT" title="BRT">BRT</a>, <a href="https://publications.waset.org/abstracts/search?q=priority" title=" priority"> priority</a>, <a href="https://publications.waset.org/abstracts/search?q=Ridership" title=" Ridership"> Ridership</a>, <a href="https://publications.waset.org/abstracts/search?q=Signal" title=" Signal"> Signal</a>, <a href="https://publications.waset.org/abstracts/search?q=VISSIM" title=" VISSIM"> VISSIM</a> </p> <a href="https://publications.waset.org/abstracts/35378/quantifying-the-impact-of-intermittent-signal-priority-given-to-brt-on-ridership-and-climate-a-case-study-of-ahmadabad" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/35378.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">441</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">19697</span> 2D Point Clouds Features from Radar for Helicopter Classification</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Danilo%20Habermann">Danilo Habermann</a>, <a href="https://publications.waset.org/abstracts/search?q=Aleksander%20Medella"> Aleksander Medella</a>, <a href="https://publications.waset.org/abstracts/search?q=Carla%20Cremon"> Carla Cremon</a>, <a href="https://publications.waset.org/abstracts/search?q=Yusef%20Caceres"> Yusef Caceres</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper aims to analyze the ability of 2d point clouds features to classify different models of helicopters using radars. This method does not need to estimate the blade length, the number of blades of helicopters, and the period of their micro-Doppler signatures. It is also not necessary to generate spectrograms (or any other image based on time and frequency domain). This work transforms a radar return signal into a 2D point cloud and extracts features of it. Three classifiers are used to distinguish 9 different helicopter models in order to analyze the performance of the features used in this work. The high accuracy obtained with each of the classifiers demonstrates that the 2D point clouds features are very useful for classifying helicopters from radar signal. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=helicopter%20classification" title="helicopter classification">helicopter classification</a>, <a href="https://publications.waset.org/abstracts/search?q=point%20clouds%20features" title=" point clouds features"> point clouds features</a>, <a href="https://publications.waset.org/abstracts/search?q=radar" title=" radar"> radar</a>, <a href="https://publications.waset.org/abstracts/search?q=supervised%20classifiers" title=" supervised classifiers"> supervised classifiers</a> </p> <a href="https://publications.waset.org/abstracts/85676/2d-point-clouds-features-from-radar-for-helicopter-classification" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/85676.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">227</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">19696</span> Analytic Hierarchy Process</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Hadia%20Rafi">Hadia Rafi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> To make any decision in any work/task/project it involves many factors that needed to be looked. The analytic Hierarchy process (AHP) is based on the judgments of experts to derive the required results this technique measures the intangibles and then by the help of judgment and software analysis the comparisons are made which shows how much a certain element/unit leads another. AHP includes how an inconsistent judgment should be made consistent and how the judgment should be improved when possible. The Priority scales are obtained by multiplying them with the priority of their parent node and after that they are added. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=AHP" title="AHP">AHP</a>, <a href="https://publications.waset.org/abstracts/search?q=priority%20scales" title=" priority scales"> priority scales</a>, <a href="https://publications.waset.org/abstracts/search?q=parent%20node" title=" parent node"> parent node</a>, <a href="https://publications.waset.org/abstracts/search?q=software%20analysis" title=" software analysis"> software analysis</a> </p> <a href="https://publications.waset.org/abstracts/16320/analytic-hierarchy-process" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/16320.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">406</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">19695</span> A Priority Based Imbalanced Time Minimization Assignment Problem: An Iterative Approach</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ekta%20Jain">Ekta Jain</a>, <a href="https://publications.waset.org/abstracts/search?q=Kalpana%20Dahiya"> Kalpana Dahiya</a>, <a href="https://publications.waset.org/abstracts/search?q=Vanita%20Verma"> Vanita Verma</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper discusses a priority based imbalanced time minimization assignment problem dealing with the allocation of n jobs to m < n persons in which the project is carried out in two stages, viz. Stage-I and Stage-II. Stage-I consists of n1 ( < m) primary jobs and Stage-II consists of remaining (n-n1) secondary jobs which are commenced only after primary jobs are finished. Each job is to be allocated to exactly one person, and each person has to do at least one job. It is assumed that nature of the Stage-I jobs is such that one person can do exactly one primary job whereas a person can do more than one secondary job in Stage-II. In a particular stage, all persons start doing the jobs simultaneously, but if a person is doing more than one job, he does them one after the other in any order. The aim of the proposed study is to find the feasible assignment which minimizes the total time for the two stage execution of the project. For this, an iterative algorithm is proposed, which at each iteration, solves a constrained imbalanced time minimization assignment problem to generate a pair of Stage-I and Stage-II times. For solving this constrained problem, an algorithm is developed in the current paper. Later, alternate combinations based method to solve the priority based imbalanced problem is also discussed and a comparative study is carried out. Numerical illustrations are provided in support of the theory. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=assignment" title="assignment">assignment</a>, <a href="https://publications.waset.org/abstracts/search?q=imbalanced" title=" imbalanced"> imbalanced</a>, <a href="https://publications.waset.org/abstracts/search?q=priority" title=" priority"> priority</a>, <a href="https://publications.waset.org/abstracts/search?q=time%20minimization" title=" time minimization"> time minimization</a> </p> <a href="https://publications.waset.org/abstracts/75198/a-priority-based-imbalanced-time-minimization-assignment-problem-an-iterative-approach" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/75198.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">234</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">19694</span> Progressive Participatory Observation Applied to Priority Neighbourhoods</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Serge%20Rohmer">Serge Rohmer</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper proposes a progressive participatory observation that can be used as a sociological investigation within communities. The usefulness of participant observation in sociological projects is first asserted, particularly in an urban context. Competencies, know-how and interpersonal skills are then explained before to detail the progressive approach, consisting of four levels of observation. The progressive participatory observation is applied to an experimental project to set up a permaculture urban micro-farm with residents of a priority neighbourhood. Feedback on the experiment has identified several key recommendations for implementing the approach. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=participatory%20observation" title="participatory observation">participatory observation</a>, <a href="https://publications.waset.org/abstracts/search?q=observation%20scale" title=" observation scale"> observation scale</a>, <a href="https://publications.waset.org/abstracts/search?q=priority%20neighbourhood" title=" priority neighbourhood"> priority neighbourhood</a>, <a href="https://publications.waset.org/abstracts/search?q=urban%20sociology" title=" urban sociology"> urban sociology</a> </p> <a href="https://publications.waset.org/abstracts/188369/progressive-participatory-observation-applied-to-priority-neighbourhoods" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/188369.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">26</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">19693</span> Iris Recognition Based on the Low Order Norms of Gradient Components</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Iman%20A.%20Saad">Iman A. Saad</a>, <a href="https://publications.waset.org/abstracts/search?q=Loay%20E.%20George"> Loay E. George</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Iris pattern is an important biological feature of human body; it becomes very hot topic in both research and practical applications. In this paper, an algorithm is proposed for iris recognition and a simple, efficient and fast method is introduced to extract a set of discriminatory features using first order gradient operator applied on grayscale images. The gradient based features are robust, up to certain extents, against the variations may occur in contrast or brightness of iris image samples; the variations are mostly occur due lightening differences and camera changes. At first, the iris region is located, after that it is remapped to a rectangular area of size 360x60 pixels. Also, a new method is proposed for detecting eyelash and eyelid points; it depends on making image statistical analysis, to mark the eyelash and eyelid as a noise points. In order to cover the features localization (variation), the rectangular iris image is partitioned into N overlapped sub-images (blocks); then from each block a set of different average directional gradient densities values is calculated to be used as texture features vector. The applied gradient operators are taken along the horizontal, vertical and diagonal directions. The low order norms of gradient components were used to establish the feature vector. Euclidean distance based classifier was used as a matching metric for determining the degree of similarity between the features vector extracted from the tested iris image and template features vectors stored in the database. Experimental tests were performed using 2639 iris images from CASIA V4-Interival database, the attained recognition accuracy has reached up to 99.92%. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=iris%20recognition" title="iris recognition">iris recognition</a>, <a href="https://publications.waset.org/abstracts/search?q=contrast%20stretching" title=" contrast stretching"> contrast stretching</a>, <a href="https://publications.waset.org/abstracts/search?q=gradient%20features" title=" gradient features"> gradient features</a>, <a href="https://publications.waset.org/abstracts/search?q=texture%20features" title=" texture features"> texture features</a>, <a href="https://publications.waset.org/abstracts/search?q=Euclidean%20metric" title=" Euclidean metric"> Euclidean metric</a> </p> <a href="https://publications.waset.org/abstracts/13277/iris-recognition-based-on-the-low-order-norms-of-gradient-components" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/13277.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">335</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">19692</span> Incorporating Priority Round-Robin Scheduler to Sustain Indefinite Blocking Issue and Prioritized Processes in Operating System</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Heng%20Chia%20Ying">Heng Chia Ying</a>, <a href="https://publications.waset.org/abstracts/search?q=Charmaine%20Tan%20Chai%20Nie"> Charmaine Tan Chai Nie</a>, <a href="https://publications.waset.org/abstracts/search?q=Burra%20Venkata%20Durga%20Kumar"> Burra Venkata Durga Kumar</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Process scheduling is the method of process management that determines which process the CPU will proceed with for the next task and how long it takes. Some issues were found in process management, particularly for Priority Scheduling (PS) and Round Robin Scheduling (RR). The proposed recommendations made for IPRRS are to combine the strengths of both into a combining algorithm while they draw on others to compensate for each weakness. A significant improvement on the combining technique of scheduler, Incorporating Priority Round-Robin Scheduler (IPRRS) address an algorithm for both high and low priority task to sustain the indefinite blocking issue faced in the priority scheduling algorithm and minimize the average turnaround time (ATT) and average waiting time (AWT) in RR scheduling algorithm. This paper will delve into the simple rules introduced by IPRRS and enhancements that both PS and RR bring to the execution of processes in the operating system. Furthermore, it incorporates the best aspects of each algorithm to build the optimum algorithm for a certain case in terms of prioritized processes, ATT, and AWT. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=round%20Robin%20scheduling" title="round Robin scheduling">round Robin scheduling</a>, <a href="https://publications.waset.org/abstracts/search?q=priority%20scheduling" title=" priority scheduling"> priority scheduling</a>, <a href="https://publications.waset.org/abstracts/search?q=indefinite%20blocking" title=" indefinite blocking"> indefinite blocking</a>, <a href="https://publications.waset.org/abstracts/search?q=process%20management" title=" process management"> process management</a>, <a href="https://publications.waset.org/abstracts/search?q=sustain" title=" sustain"> sustain</a>, <a href="https://publications.waset.org/abstracts/search?q=turnaround%20time" title=" turnaround time"> turnaround time</a> </p> <a href="https://publications.waset.org/abstracts/160706/incorporating-priority-round-robin-scheduler-to-sustain-indefinite-blocking-issue-and-prioritized-processes-in-operating-system" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/160706.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">148</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">19691</span> An Algorithm for the Map Labeling Problem with Two Kinds of Priorities</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Noboru%20Abe">Noboru Abe</a>, <a href="https://publications.waset.org/abstracts/search?q=Yoshinori%20Amai"> Yoshinori Amai</a>, <a href="https://publications.waset.org/abstracts/search?q=Toshinori%20Nakatake"> Toshinori Nakatake</a>, <a href="https://publications.waset.org/abstracts/search?q=Sumio%20Masuda"> Sumio Masuda</a>, <a href="https://publications.waset.org/abstracts/search?q=Kazuaki%20Yamaguchi"> Kazuaki Yamaguchi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> We consider the problem of placing labels of the points on a plane. For each point, its position, the size of its label and a priority are given. Moreover, several candidates of its label positions are prespecified, and each of such label positions is assigned a priority. The objective of our problem is to maximize the total sum of priorities of placed labels and their points. By refining a labeling algorithm that can use these priorities, we propose a new heuristic algorithm which is more suitable for treating the assigned priorities. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=map%20labeling" title="map labeling">map labeling</a>, <a href="https://publications.waset.org/abstracts/search?q=greedy%20algorithm" title=" greedy algorithm"> greedy algorithm</a>, <a href="https://publications.waset.org/abstracts/search?q=heuristic%20algorithm" title=" heuristic algorithm"> heuristic algorithm</a>, <a href="https://publications.waset.org/abstracts/search?q=priority" title=" priority"> priority</a> </p> <a href="https://publications.waset.org/abstracts/5013/an-algorithm-for-the-map-labeling-problem-with-two-kinds-of-priorities" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/5013.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">433</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">19690</span> A Stochastic Volatility Model for Optimal Market-Making</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Zubier%20Arfan">Zubier Arfan</a>, <a href="https://publications.waset.org/abstracts/search?q=Paul%20Johnson"> Paul Johnson </a> </p> <p class="card-text"><strong>Abstract:</strong></p> The electronification of financial markets and the rise of algorithmic trading has sparked a lot of interest from the mathematical community, for the market making-problem in particular. The research presented in this short paper solves the classic stochastic control problem in order to derive the strategy for a market-maker. It also shows how to calibrate and simulate the strategy with real limit order book data for back-testing. The ambiguity of limit-order priority in back-testing is dealt with by considering optimistic and pessimistic priority scenarios. The model, although it does outperform a naive strategy, assumes constant volatility, therefore, is not best suited to the LOB data. The Heston model is introduced to describe the price and variance process of the asset. The Trader's constant absolute risk aversion utility function is optimised by numerically solving a 3-dimensional Hamilton-Jacobi-Bellman partial differential equation to find the optimal limit order quotes. The results show that the stochastic volatility market-making model is more suitable for a risk-averse trader and is also less sensitive to calibration error than the constant volatility model. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=market-making" title="market-making">market-making</a>, <a href="https://publications.waset.org/abstracts/search?q=market-microsctrucure" title=" market-microsctrucure"> market-microsctrucure</a>, <a href="https://publications.waset.org/abstracts/search?q=stochastic%20volatility" title=" stochastic volatility"> stochastic volatility</a>, <a href="https://publications.waset.org/abstracts/search?q=quantitative%20trading" title=" quantitative trading "> quantitative trading </a> </p> <a href="https://publications.waset.org/abstracts/114281/a-stochastic-volatility-model-for-optimal-market-making" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/114281.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">150</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">19689</span> The Reflections of the K-12 English Language Teachers on the Implementation of the K-12 Basic Education Program in the Philippines</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Dennis%20Infante">Dennis Infante</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper examined the reflections of teachers on curriculum reforms, the implementation of the K-12 Basic Education Program in the Philippines. The results revealed that problems and concerns raised by teachers could be classified into curriculum materials and design; competence, readiness and motivation of the teachers; the learning environment, and support systems; readiness, competence and motivation of students; and other relevant factors. The best features of the K-12 curriculum reforms included (1) the components, curriculum materials; (2) the design, structure and delivery of the lessons; (3) the framework and theoretical approach; (3) the qualities of the teaching-learning activities; (4) and other relevant features. With the demanding task of implementing the new curriculum, the teachers expressed their needs which included (1) making the curriculum materials available to achieve the goals of the curriculum reforms; (2) enrichment of the learning environments; (3) motivating and encouraging the teachers to embrace change; (4) providing appropriate support systems; (5) re-tooling, and empowering teachers to implement the curriculum reforms; and (6) other relevant factors. The research concluded with a synthesis that provided a paradigm for implementing curriculum reforms which recognizes the needs of the teachers and the features of the new curriculum. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=curriculum%20reforms" title="curriculum reforms">curriculum reforms</a>, <a href="https://publications.waset.org/abstracts/search?q=K-12" title=" K-12"> K-12</a>, <a href="https://publications.waset.org/abstracts/search?q=teachers%27%20reflections" title=" teachers' reflections"> teachers' reflections</a>, <a href="https://publications.waset.org/abstracts/search?q=implementing%20curriculum%20change" title=" implementing curriculum change"> implementing curriculum change</a> </p> <a href="https://publications.waset.org/abstracts/5126/the-reflections-of-the-k-12-english-language-teachers-on-the-implementation-of-the-k-12-basic-education-program-in-the-philippines" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/5126.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">279</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">19688</span> A Method for Allocation of Smart Intersections Using Traffic Information</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sang-Tae%20Ji">Sang-Tae Ji</a>, <a href="https://publications.waset.org/abstracts/search?q=Jeong-Woo%20Park"> Jeong-Woo Park</a>, <a href="https://publications.waset.org/abstracts/search?q=Jun-Ho%20Park"> Jun-Ho Park</a>, <a href="https://publications.waset.org/abstracts/search?q=Kwang-Woo%20Nam"> Kwang-Woo Nam</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This study aims is to suggest the basic factors by considering the priority of intersection in the diffusion project of Smart intersection. Busan Metropolitan City is conducting a smart intersection project for efficient traffic management. The smart intersection project aims to make breakthrough improvement of the intersection congestion by optimizing the signal system using CCTV (closed-circuit television camera) image analysis technology. This study investigated trends of existing researches and analyzed by setting three things of traffic volume, characteristics of intersection road, and whether or not to conduct the main arterial road as factors for selecting new intersection when spreading smart intersection. Using this, we presented the priority of the newly installed intersection through the present situation and analysis for the Busan Metropolitan City which is the main destination of the spreading project of the smart intersection. The results of this study can be used as a consideration in the implementation of smart intersection business. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=CCTV" title="CCTV">CCTV</a>, <a href="https://publications.waset.org/abstracts/search?q=GIS" title=" GIS"> GIS</a>, <a href="https://publications.waset.org/abstracts/search?q=ICT" title=" ICT"> ICT</a>, <a href="https://publications.waset.org/abstracts/search?q=Smart%20City" title=" Smart City"> Smart City</a>, <a href="https://publications.waset.org/abstracts/search?q=smart%20intersection" title=" smart intersection"> smart intersection</a> </p> <a href="https://publications.waset.org/abstracts/78114/a-method-for-allocation-of-smart-intersections-using-traffic-information" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/78114.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">386</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">19687</span> Security Features for Remote Healthcare System: A Feasibility Study</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Tamil%20Chelvi%20Vadivelu">Tamil Chelvi Vadivelu</a>, <a href="https://publications.waset.org/abstracts/search?q=Nurazean%20Maarop"> Nurazean Maarop</a>, <a href="https://publications.waset.org/abstracts/search?q=Rasimah%20Che%20Yusoff"> Rasimah Che Yusoff</a>, <a href="https://publications.waset.org/abstracts/search?q=Farhana%20Aini%20Saludin"> Farhana Aini Saludin</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Implementing a remote healthcare system needs to consider many security features. Therefore, before any deployment of the remote healthcare system, a feasibility study from the security perspective is crucial. Remote healthcare system using WBAN technology has been used in other countries for medical purposes but in Malaysia, such projects are still not yet implemented. This study was conducted qualitatively. The interview results involving five healthcare practitioners are further elaborated. The study has addressed four important security features in order to incorporate remote healthcare system using WBAN in Malaysian government hospitals. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=remote%20healthcare" title="remote healthcare">remote healthcare</a>, <a href="https://publications.waset.org/abstracts/search?q=IT%20security" title=" IT security"> IT security</a>, <a href="https://publications.waset.org/abstracts/search?q=security%20features" title=" security features"> security features</a>, <a href="https://publications.waset.org/abstracts/search?q=wireless%20sensor%20application" title=" wireless sensor application"> wireless sensor application</a> </p> <a href="https://publications.waset.org/abstracts/20183/security-features-for-remote-healthcare-system-a-feasibility-study" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/20183.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">306</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">19686</span> Decision Tree Based Scheduling for Flexible Job Shops with Multiple Process Plans</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=H.-H.%20Doh">H.-H. Doh</a>, <a href="https://publications.waset.org/abstracts/search?q=J.-M.%20Yu"> J.-M. Yu</a>, <a href="https://publications.waset.org/abstracts/search?q=Y.-J.%20Kwon"> Y.-J. Kwon</a>, <a href="https://publications.waset.org/abstracts/search?q=J.-H.%20Shin"> J.-H. Shin</a>, <a href="https://publications.waset.org/abstracts/search?q=H.-W.%20Kim"> H.-W. Kim</a>, <a href="https://publications.waset.org/abstracts/search?q=S.-H.%20Nam"> S.-H. Nam</a>, <a href="https://publications.waset.org/abstracts/search?q=D.-H.%20Lee"> D.-H. Lee</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper suggests a decision tree based approach for flexible job shop scheduling with multiple process plans, i. e. each job can be processed through alternative operations, each of which can be processed on alternative machines. The main decision variables are: (a) selecting operation/machine pair; and (b) sequencing the jobs assigned to each machine. As an extension of the priority scheduling approach that selects the best priority rule combination after many simulation runs, this study suggests a decision tree based approach in which a decision tree is used to select a priority rule combination adequate for a specific system state and hence the burdens required for developing simulation models and carrying out simulation runs can be eliminated. The decision tree based scheduling approach consists of construction and scheduling modules. In the construction module, a decision tree is constructed using a four-stage algorithm, and in the scheduling module, a priority rule combination is selected using the decision tree. To show the performance of the decision tree based approach suggested in this study, a case study was done on a flexible job shop with reconfigurable manufacturing cells and a conventional job shop, and the results are reported by comparing it with individual priority rule combinations for the objectives of minimizing total flow time and total tardiness. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=flexible%20job%20shop%20scheduling" title="flexible job shop scheduling">flexible job shop scheduling</a>, <a href="https://publications.waset.org/abstracts/search?q=decision%20tree" title=" decision tree"> decision tree</a>, <a href="https://publications.waset.org/abstracts/search?q=priority%20rules" title=" priority rules"> priority rules</a>, <a href="https://publications.waset.org/abstracts/search?q=case%20study" title=" case study"> case study</a> </p> <a href="https://publications.waset.org/abstracts/6996/decision-tree-based-scheduling-for-flexible-job-shops-with-multiple-process-plans" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/6996.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">358</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">19685</span> Learning Chinese Suprasegmentals for a Better Communicative Performance</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Qi%20Wang">Qi Wang</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Chinese has become a powerful worldwide language and millions of learners are studying it all over the words. Chinese is a tone language with unique meaningful characters, which makes foreign learners master it with more difficulties. On the other hand, as each foreign language, the learners of Chinese first will learn the basic Chinese Sound Structure (the initials and finals, tones, Neutral Tone and Tone Sandhi). It’s quite common that in the following studies, teachers made a lot of efforts on drilling and error correcting, in order to help students to pronounce correctly, but ignored the training of suprasegmental features (e.g. stress, intonation). This paper analysed the oral data based on our graduation students (two-year program) from 2006-2013, presents the intonation pattern of our graduates to speak Chinese as second language -high and plain with heavy accents, without lexical stress, appropriate stop endings and intonation, which led to the misunderstanding in different real contexts of communications and the international official Chinese test, e.g. HSK (Chinese Proficiency Test), HSKK (HSK Speaking Test). This paper also demonstrated how the Chinese to use the suprasegmental features strategically in different functions and moods (declarative, interrogative, imperative, exclamatory and rhetorical intonations) in order to train the learners to achieve better Communicative Performance. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=second%20language%20learning" title="second language learning">second language learning</a>, <a href="https://publications.waset.org/abstracts/search?q=suprasegmental" title=" suprasegmental"> suprasegmental</a>, <a href="https://publications.waset.org/abstracts/search?q=communication" title=" communication"> communication</a>, <a href="https://publications.waset.org/abstracts/search?q=HSK%20%28Chinese%20Proficiency%20Test%29" title=" HSK (Chinese Proficiency Test)"> HSK (Chinese Proficiency Test)</a> </p> <a href="https://publications.waset.org/abstracts/23187/learning-chinese-suprasegmentals-for-a-better-communicative-performance" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/23187.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">436</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">19684</span> Using New Machine Algorithms to Classify Iranian Musical Instruments According to Temporal, Spectral and Coefficient Features</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ronak%20Khosravi">Ronak Khosravi</a>, <a href="https://publications.waset.org/abstracts/search?q=Mahmood%20Abbasi%20Layegh"> Mahmood Abbasi Layegh</a>, <a href="https://publications.waset.org/abstracts/search?q=Siamak%20Haghipour"> Siamak Haghipour</a>, <a href="https://publications.waset.org/abstracts/search?q=Avin%20Esmaili"> Avin Esmaili</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this paper, a study on classification of musical woodwind instruments using a small set of features selected from a broad range of extracted ones by the sequential forward selection method was carried out. Firstly, we extract 42 features for each record in the music database of 402 sound files belonging to five different groups of Flutes (end blown and internal duct), Single –reed, Double –reed (exposed and capped), Triple reed and Quadruple reed. Then, the sequential forward selection method is adopted to choose the best feature set in order to achieve very high classification accuracy. Two different classification techniques of support vector machines and relevance vector machines have been tested out and an accuracy of up to 96% can be achieved by using 21 time, frequency and coefficient features and relevance vector machine with the Gaussian kernel function. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=coefficient%20features" title="coefficient features">coefficient features</a>, <a href="https://publications.waset.org/abstracts/search?q=relevance%20vector%20machines" title=" relevance vector machines"> relevance vector machines</a>, <a href="https://publications.waset.org/abstracts/search?q=spectral%20features" title=" spectral features"> spectral features</a>, <a href="https://publications.waset.org/abstracts/search?q=support%20vector%20machines" title=" support vector machines"> support vector machines</a>, <a href="https://publications.waset.org/abstracts/search?q=temporal%20features" title=" temporal features"> temporal features</a> </p> <a href="https://publications.waset.org/abstracts/54321/using-new-machine-algorithms-to-classify-iranian-musical-instruments-according-to-temporal-spectral-and-coefficient-features" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/54321.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">321</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">19683</span> Mood Recognition Using Indian Music</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Vishwa%20Joshi">Vishwa Joshi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The study of mood recognition in the field of music has gained a lot of momentum in the recent years with machine learning and data mining techniques and many audio features contributing considerably to analyze and identify the relation of mood plus music. In this paper we consider the same idea forward and come up with making an effort to build a system for automatic recognition of mood underlying the audio song’s clips by mining their audio features and have evaluated several data classification algorithms in order to learn, train and test the model describing the moods of these audio songs and developed an open source framework. Before classification, Preprocessing and Feature Extraction phase is necessary for removing noise and gathering features respectively. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=music" title="music">music</a>, <a href="https://publications.waset.org/abstracts/search?q=mood" title=" mood"> mood</a>, <a href="https://publications.waset.org/abstracts/search?q=features" title=" features"> features</a>, <a href="https://publications.waset.org/abstracts/search?q=classification" title=" classification"> classification</a> </p> <a href="https://publications.waset.org/abstracts/24275/mood-recognition-using-indian-music" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/24275.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">498</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">19682</span> Feature Extraction of MFCC Based on Fisher-Ratio and Correlated Distance Criterion for Underwater Target Signal</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Han%20Xue">Han Xue</a>, <a href="https://publications.waset.org/abstracts/search?q=Zhang%20Lanyue"> Zhang Lanyue</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In order to seek more effective feature extraction technology, feature extraction method based on MFCC combined with vector hydrophone is exposed in the paper. The sound pressure signal and particle velocity signal of two kinds of ships are extracted by using MFCC and its evolution form, and the extracted features are fused by using fisher-ratio and correlated distance criterion. The features are then identified by BP neural network. The results showed that MFCC, First-Order Differential MFCC and Second-Order Differential MFCC features can be used as effective features for recognition of underwater targets, and the fusion feature can improve the recognition rate. Moreover, the results also showed that the recognition rate of the particle velocity signal is higher than that of the sound pressure signal, and it reflects the superiority of vector signal processing. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=vector%20information" title="vector information">vector information</a>, <a href="https://publications.waset.org/abstracts/search?q=MFCC" title=" MFCC"> MFCC</a>, <a href="https://publications.waset.org/abstracts/search?q=differential%20MFCC" title=" differential MFCC"> differential MFCC</a>, <a href="https://publications.waset.org/abstracts/search?q=fusion%20feature" title=" fusion feature"> fusion feature</a>, <a href="https://publications.waset.org/abstracts/search?q=BP%20neural%20network" title=" BP neural network "> BP neural network </a> </p> <a href="https://publications.waset.org/abstracts/33608/feature-extraction-of-mfcc-based-on-fisher-ratio-and-correlated-distance-criterion-for-underwater-target-signal" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/33608.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">530</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=priority%20order%20of%20basic%20features&page=2">2</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=priority%20order%20of%20basic%20features&page=3">3</a></li> <li class="page-item"><a class="page-link" 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