This work is an update of the 1998 publication by Singh et al. [1] and reviews the log values for all the known -decay branches (−, +/EC). Furthermore, an update of all -values (from AME2020 [2]), as well as a recalculation of all the log values (through BetaShape code [3], [4]) has been conducted using relevant data in the ENSDF database, as well as in newer literature. Only those cases have been considered in this review, where the beta transitions occur between levels of firm single spin assignments (86% of the transitions), and with probable single spin assignments (14% of the transitions), but with firm parity assignments for all the transitions. Weak branches of 1% intensity in complex decay schemes have generally been omitted. Out of a total of 26 318 transitions extracted from the ENSDF database and current literature, data for only 4038 transitions survived the filtering criteria in the present review. The log values in decay, spanning about 21 orders of magnitude, have been classified into allowed and forbidden categories according to the classification scheme of Konopinski [5]. All log values have been deduced using the BetaShape code with new developments presented in this study. A very few number of log values for very low-energy beta transitions (5 keV) survived the cut criteria and are briefly discussed in terms of atomic overlap corrections. Also tabulated and briefly discussed are seven superallowed cases with T = 0, T(parent) = −2, while a known case for 28S to 28P has been omitted as reliable EC/+feeding to the analog state in 28P cannot be assigned due to lack of adequate experimental and detailed data for this decay. Centroid, width, minimum and maximum values for each category have been deduced. Uncertainties have been estimated and are also given. For literature coverage in the present review, see discussion in text.
{"title":"Systematics of log ft values for β−, and EC/β+ transitions","authors":"Steffen Turkat , Xavier Mougeot , Balraj Singh , Kai Zuber","doi":"10.1016/j.adt.2023.101584","DOIUrl":"https://doi.org/10.1016/j.adt.2023.101584","url":null,"abstract":"<div><p>This work is an update of the 1998 publication by Singh et al. <span>[1]</span> and reviews the log<!--> <span><math><mrow><mi>f</mi><mi>t</mi></mrow></math></span> values for all the known <span><math><mi>β</mi></math></span>-decay branches (<span><math><mi>β</mi></math></span>−, <span><math><mi>β</mi></math></span>+/EC). Furthermore, an update of all <span><math><mi>Q</mi></math></span>-values (from AME2020 <span>[2]</span>), as well as a recalculation of all the log<!--> <span><math><mrow><mi>f</mi><mi>t</mi></mrow></math></span> values (through BetaShape code <span>[3]</span>, <span>[4]</span>) has been conducted using relevant data in the ENSDF database, as well as in newer literature. Only those cases have been considered in this review, where the beta transitions occur between levels of firm single spin assignments (86% of the transitions), and with probable single spin assignments (14% of the transitions), but with firm parity assignments for all the transitions. Weak <span><math><mi>β</mi></math></span> branches of <span><math><mo><</mo></math></span>1% intensity in complex decay schemes have generally been omitted. Out of a total of 26<!--> <!-->318 <span><math><mi>β</mi></math></span> transitions extracted from the ENSDF database and current literature, data for only 4038 <span><math><mi>β</mi></math></span> transitions survived the filtering criteria in the present review. The log<!--> <span><math><mrow><mi>f</mi><mi>t</mi></mrow></math></span> values in <span><math><mi>β</mi></math></span> decay, spanning about 21 orders of magnitude, have been classified into allowed and forbidden categories according to the classification scheme of Konopinski <span>[5]</span>. All log<!--> <span><math><mrow><mi>f</mi><mi>t</mi></mrow></math></span> values have been deduced using the BetaShape code with new developments presented in this study. A very few number of log<!--> <span><math><mrow><mi>f</mi><mi>t</mi></mrow></math></span> values for very low-energy beta transitions (<span><math><mo><</mo></math></span>5<!--> <!-->keV) survived the cut criteria and are briefly discussed in terms of atomic overlap corrections. Also tabulated and briefly discussed are seven superallowed cases with <span><math><mi>Δ</mi></math></span>T = 0, T<span><math><msub><mrow></mrow><mrow><mi>z</mi></mrow></msub></math></span>(parent) = −2, while a known case for <sup>28</sup>S to <sup>28</sup>P has been omitted as reliable EC/<span><math><mi>β</mi></math></span>+feeding to the analog state in <sup>28</sup>P cannot be assigned due to lack of adequate experimental and detailed data for this decay. Centroid, width, minimum and maximum values for each category have been deduced. Uncertainties have been estimated and are also given. For literature coverage in the present review, see discussion in text.</p></div>","PeriodicalId":55580,"journal":{"name":"Atomic Data and Nuclear Data Tables","volume":"152 ","pages":"Article 101584"},"PeriodicalIF":1.8,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49744675","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-07-01DOI: 10.1016/j.adt.2023.101582
V.Yu. Denisov
A new expression for a calculation of the pre-neutron emission average total kinetic energy of fission fragments (TKE), which takes into account the dependence of TKE on both and the excitation energy of the fissioning nuclei, is found using the 728 experimental values of the TKE. These 728 values of TKE for 115 fissioning nuclei with the numbers of proton and nucleons in the ranges and are measured by various experimental groups in different reactions at various excitation energies of the fissioning nuclei. The dependence of the TKE on the excitation energy of the fissioning nuclei is clearly shown for many nuclei. The account of the excitation energy dependence of the TKE leads to the smallest value of the root-mean-square deviation between the experimental and theoretical TKE values.
{"title":"Pre-neutron emission average total kinetic energy of fission fragments","authors":"V.Yu. Denisov","doi":"10.1016/j.adt.2023.101582","DOIUrl":"10.1016/j.adt.2023.101582","url":null,"abstract":"<div><p>A new expression for a calculation of the pre-neutron emission average total kinetic energy of fission fragments (TKE), which takes into account the dependence of TKE on both <span><math><mrow><msup><mrow><mi>Z</mi></mrow><mrow><mn>2</mn></mrow></msup><mo>/</mo><msup><mrow><mi>A</mi></mrow><mrow><mn>1</mn><mo>/</mo><mn>3</mn></mrow></msup></mrow></math></span> and the excitation energy of the fissioning nuclei, is found using the 728 experimental values of the TKE. These 728 values of TKE for 115 fissioning nuclei with the numbers of proton and nucleons in the ranges <span><math><mrow><mn>48</mn><mo>≤</mo><mi>Z</mi><mo>≤</mo><mn>120</mn></mrow></math></span> and <span><math><mrow><mn>78</mn><mo>≤</mo><mi>A</mi><mo>≤</mo><mn>302</mn></mrow></math></span> are measured by various experimental groups in different reactions at various excitation energies of the fissioning nuclei. The dependence of the TKE on the excitation energy of the fissioning nuclei is clearly shown for many nuclei. The account of the excitation energy dependence of the TKE leads to the smallest value of the root-mean-square deviation between the experimental and theoretical TKE values.</p></div>","PeriodicalId":55580,"journal":{"name":"Atomic Data and Nuclear Data Tables","volume":"152 ","pages":"Article 101582"},"PeriodicalIF":1.8,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45871920","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-07-01DOI: 10.1016/j.adt.2023.101585
L. Radžiūtė, G. Gaigalas
We aim to investigate atomic properties of Sb-like sequence: Sb I, Te II, I III, Xe IV, and Cs V. The multiconfiguration Dirac–Hartree–Fock and relativistic configuration interaction methods, which are implemented in the general-purpose relativistic atomic structure package GRASP2018, are used in the present work. The lowest energy levels of the , , , , and configurations and electric dipole, magnetic dipole, and electric quadrupole transitions between states of these configurations are computed. Accuracy of energy levels are evaluated by comparing it with the National Institute of Standards and Technology Atomic Spectra Database recommended values and with other methods. Accuracy of transitions data are investigated using quantitative and qualitative evaluation method.
我们的目标是研究类Sb序列:Sb I, Te II, I III, Xe IV和Cs v的原子性质。本研究使用了通用相对论原子结构包GRASP2018中实现的多组态Dirac-Hartree-Fock和相对论组态相互作用方法。计算了5s25p3、555p4、5p5、555p35d和5s25p2{6s、7s、6p、7p、5d、6d、4f}构型的最低能级,以及这些构型状态之间的电偶极子、磁偶极子和电四极子跃迁。通过与美国国家标准与技术研究所原子光谱数据库推荐值和其他方法进行比较,评估能级的准确性。采用定量和定性评价相结合的方法对转换数据的准确性进行了研究。
{"title":"Theoretical investigation of Sb-like sequence: Sb I, Te II, I III, Xe IV, and Cs V","authors":"L. Radžiūtė, G. Gaigalas","doi":"10.1016/j.adt.2023.101585","DOIUrl":"10.1016/j.adt.2023.101585","url":null,"abstract":"<div><p>We aim to investigate atomic properties of Sb-like sequence: Sb I, Te II, I III, Xe IV, and Cs V. The multiconfiguration Dirac–Hartree–Fock and relativistic configuration interaction methods, which are implemented in the general-purpose relativistic atomic structure package GRASP2018, are used in the present work. The lowest energy levels of the <span><math><mrow><mn>5</mn><msup><mrow><mi>s</mi></mrow><mrow><mn>2</mn></mrow></msup><mn>5</mn><msup><mrow><mi>p</mi></mrow><mrow><mn>3</mn></mrow></msup></mrow></math></span>, <span><math><mrow><mn>5</mn><mi>s</mi><mn>5</mn><msup><mrow><mi>p</mi></mrow><mrow><mn>4</mn></mrow></msup></mrow></math></span>, <span><math><mrow><mn>5</mn><msup><mrow><mi>p</mi></mrow><mrow><mn>5</mn></mrow></msup></mrow></math></span>, <span><math><mrow><mn>5</mn><mi>s</mi><mn>5</mn><msup><mrow><mi>p</mi></mrow><mrow><mn>3</mn></mrow></msup><mn>5</mn><mi>d</mi></mrow></math></span>, and <span><math><mrow><mn>5</mn><msup><mrow><mi>s</mi></mrow><mrow><mn>2</mn></mrow></msup><mn>5</mn><msup><mrow><mi>p</mi></mrow><mrow><mn>2</mn></mrow></msup><mrow><mo>{</mo><mn>6</mn><mi>s</mi><mo>,</mo><mn>7</mn><mi>s</mi><mo>,</mo><mn>6</mn><mi>p</mi><mo>,</mo><mn>7</mn><mi>p</mi><mo>,</mo><mn>5</mn><mi>d</mi><mo>,</mo><mn>6</mn><mi>d</mi><mo>,</mo><mn>4</mn><mi>f</mi><mo>}</mo></mrow></mrow></math></span> configurations and electric dipole, magnetic dipole, and electric quadrupole transitions between states of these configurations are computed. Accuracy of energy levels are evaluated by comparing it with the National Institute of Standards and Technology Atomic Spectra Database recommended values and with other methods. Accuracy of transitions data are investigated using quantitative and qualitative evaluation method.</p></div>","PeriodicalId":55580,"journal":{"name":"Atomic Data and Nuclear Data Tables","volume":"152 ","pages":"Article 101585"},"PeriodicalIF":1.8,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43364862","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-07-01DOI: 10.1016/j.adt.2023.101602
Cunqiang Wu, Xiao-bin Ding, M. Cao, Denghong Zhang, Mingwu Zhang, Y. Xue, Deyang Yu, Chenzhong Dong
{"title":"Energy levels and radiative transition properties of the 2s2p double K-shell vacancy state in He-like ions (4≤","authors":"Cunqiang Wu, Xiao-bin Ding, M. Cao, Denghong Zhang, Mingwu Zhang, Y. Xue, Deyang Yu, Chenzhong Dong","doi":"10.1016/j.adt.2023.101602","DOIUrl":"https://doi.org/10.1016/j.adt.2023.101602","url":null,"abstract":"","PeriodicalId":55580,"journal":{"name":"Atomic Data and Nuclear Data Tables","volume":" ","pages":""},"PeriodicalIF":1.8,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49007438","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
D. Barbieri, Baowen Lou, Marco Passavanti, Aurora Barbieri, F. Bjørheim
The implementation of Building Information Modelling (BIM) technologies has become increasingly central in the design, construction and maintenance of both civil structures and infrastructures. As more and more software houses develop new BIM software solutions and a wide range of private and public stakeholders employ them, several educational institutes across the globe strive to expand their teaching portfolio to encompass learning and teaching of BIM. This dataset deals with the perceptions expressed by all the civil engineering undergraduate students who attended an academic course specifically about BIM at University of Stavanger (UiS), Norway, during the second semester 2022. The survey was divided into five parts and collected information regarding as many overarching aspects: socio-demographic data, perceptions about BIM before and after course attendance, satisfaction about the academic course and the way it was conducted. Considering the very moderate sample size (28 students) and potential biases due to the specific context of the University of Stavanger, the dataset can provide a useful insight into teaching approaches and future curriculum development, rather than indicating major and generalized trends in BIM education. As the questionnaire responses shed light on the feedbacks and perceptions expressed by university students dealing with BIM for their first time, the formed dataset can offer a straightforward appreciation of students’ cognitive behaviour in BIM education.
{"title":"A Survey Dataset Evaluating Perceptions of Civil Engineering Students about Building Information Modelling (BIM)","authors":"D. Barbieri, Baowen Lou, Marco Passavanti, Aurora Barbieri, F. Bjørheim","doi":"10.3390/data8070114","DOIUrl":"https://doi.org/10.3390/data8070114","url":null,"abstract":"The implementation of Building Information Modelling (BIM) technologies has become increasingly central in the design, construction and maintenance of both civil structures and infrastructures. As more and more software houses develop new BIM software solutions and a wide range of private and public stakeholders employ them, several educational institutes across the globe strive to expand their teaching portfolio to encompass learning and teaching of BIM. This dataset deals with the perceptions expressed by all the civil engineering undergraduate students who attended an academic course specifically about BIM at University of Stavanger (UiS), Norway, during the second semester 2022. The survey was divided into five parts and collected information regarding as many overarching aspects: socio-demographic data, perceptions about BIM before and after course attendance, satisfaction about the academic course and the way it was conducted. Considering the very moderate sample size (28 students) and potential biases due to the specific context of the University of Stavanger, the dataset can provide a useful insight into teaching approaches and future curriculum development, rather than indicating major and generalized trends in BIM education. As the questionnaire responses shed light on the feedbacks and perceptions expressed by university students dealing with BIM for their first time, the formed dataset can offer a straightforward appreciation of students’ cognitive behaviour in BIM education.","PeriodicalId":55580,"journal":{"name":"Atomic Data and Nuclear Data Tables","volume":"32 1","pages":""},"PeriodicalIF":1.8,"publicationDate":"2023-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74207753","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The importance of preventing failures in bearings has led to a large amount of research being conducted to find methods for fault diagnostics and prognostics. Many of these solutions, such as deep learning methods, require a significant amount of data to perform well. This is a reason why publicly available data are important, and there currently exist several open datasets that contain different conditions and faults. However, one challenge is that almost all of these data come from a laboratory setting, where conditions might differ from those found in an industrial environment where the methods are intended to be used. This also means that there may be characteristics of the industrial data that are important to take into account. Therefore, this study describes a completely new dataset for bearing faults from a pulp mill. The analysis of the data shows that the faults vary significantly in terms of fault development, rotation speed, and the amplitude of the vibration signal. It also suggests that methods built for this environment need to consider that no historical examples of faults in the target domain exist and that external events can occur that are not related to any condition of the bearing.
{"title":"Factory-Based Vibration Data for Bearing-Fault Detection","authors":"Adam Lundström, M. O’nils","doi":"10.3390/data8070115","DOIUrl":"https://doi.org/10.3390/data8070115","url":null,"abstract":"The importance of preventing failures in bearings has led to a large amount of research being conducted to find methods for fault diagnostics and prognostics. Many of these solutions, such as deep learning methods, require a significant amount of data to perform well. This is a reason why publicly available data are important, and there currently exist several open datasets that contain different conditions and faults. However, one challenge is that almost all of these data come from a laboratory setting, where conditions might differ from those found in an industrial environment where the methods are intended to be used. This also means that there may be characteristics of the industrial data that are important to take into account. Therefore, this study describes a completely new dataset for bearing faults from a pulp mill. The analysis of the data shows that the faults vary significantly in terms of fault development, rotation speed, and the amplitude of the vibration signal. It also suggests that methods built for this environment need to consider that no historical examples of faults in the target domain exist and that external events can occur that are not related to any condition of the bearing.","PeriodicalId":55580,"journal":{"name":"Atomic Data and Nuclear Data Tables","volume":"3 1","pages":""},"PeriodicalIF":1.8,"publicationDate":"2023-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81897767","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In this paper, we present subgraphs of Ethereum wallets involved in NFT trades of the top 15 ERC721 NFT collections. To obtain the subgraphs, we have extracted the Ethereum transaction graph from a live Ethereum node and filtered out exchanges, mining pools, and smart contracts. For each of the selected collections, we identified the set of accounts involved in NFT trading, which we used to perform a breadth-first search in the Ethereum transaction graph to obtain a subgraph. These subgraphs can offer insight into the linkability of accounts participating in NFT trading on the Ethereum blockchain.
{"title":"Dataset of Linkability Networks of Ethereum Accounts Involved in NFT Trading of Top 15 NFT Collections","authors":"Aleksandar Tošić, Niki Hrovatin, Jernej Vičič","doi":"10.3390/data8070116","DOIUrl":"https://doi.org/10.3390/data8070116","url":null,"abstract":"In this paper, we present subgraphs of Ethereum wallets involved in NFT trades of the top 15 ERC721 NFT collections. To obtain the subgraphs, we have extracted the Ethereum transaction graph from a live Ethereum node and filtered out exchanges, mining pools, and smart contracts. For each of the selected collections, we identified the set of accounts involved in NFT trading, which we used to perform a breadth-first search in the Ethereum transaction graph to obtain a subgraph. These subgraphs can offer insight into the linkability of accounts participating in NFT trading on the Ethereum blockchain.","PeriodicalId":55580,"journal":{"name":"Atomic Data and Nuclear Data Tables","volume":"13 1","pages":""},"PeriodicalIF":1.8,"publicationDate":"2023-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85550537","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-06-23DOI: 10.1016/j.adt.2023.101600
M. Elantkowska , J. Ruczkowski , M. Klempka
The paper re-analyses the hyperfine structure using a semi-empirical method made possible by new precise experimental data. By incorporating electric quadrupole interactions into the calculations, we were able to determine the nuclear quadrupole moment of 59Co. We compared the results with existing experimental data and theoretical calculations. Additionally, we provide predicted values for the magnetic dipole A and electric quadrupole B hyperfine structure constants for both even and odd levels.
{"title":"Reanalysis of the hyperfine structure of Co II. Determination of the nuclear quadrupole moment of 59Co","authors":"M. Elantkowska , J. Ruczkowski , M. Klempka","doi":"10.1016/j.adt.2023.101600","DOIUrl":"https://doi.org/10.1016/j.adt.2023.101600","url":null,"abstract":"<div><p><span><span>The paper re-analyses the hyperfine structure using a semi-empirical method made possible by new precise experimental data. By incorporating electric </span>quadrupole interactions into the calculations, we were able to determine the nuclear quadrupole moment of </span><sup>59</sup>Co. We compared the results with existing experimental data and theoretical calculations. Additionally, we provide predicted values for the magnetic dipole <em>A</em> and electric quadrupole <em>B</em> hyperfine structure constants for both even and odd levels.</p></div>","PeriodicalId":55580,"journal":{"name":"Atomic Data and Nuclear Data Tables","volume":"154 ","pages":"Article 101600"},"PeriodicalIF":1.8,"publicationDate":"2023-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49744565","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Kenan Kassab, A. Kashevnik, Alexander Mayatin, Dmitry Zubok
In this paper, we propose a dataset for personality traits detection based on human face videos. Ground truth data have been annotated using the IPIP-50 personality test that every participant is implementing. To collect the dataset, we developed a web-based platform that allows us to acquire spontaneous answers for predefined questions from the respondents. The website allows the participants to record an interactive interview in order to imitate the real-life interview. The dataset includes 38 videos (2 min on average) for people of different races, genders, and ages. In the paper, we propose the top five personality traits calculated based on the test, as well as the top five personality traits calculated by our own developed model that determines this information based on video analysis. We introduced a statistical analysis for the collected dataset, and we also applied a K-means clustering algorithm to cluster the data and present the clustering results.
{"title":"VPTD: Human Face Video Dataset for Personality Traits Detection","authors":"Kenan Kassab, A. Kashevnik, Alexander Mayatin, Dmitry Zubok","doi":"10.3390/data8070113","DOIUrl":"https://doi.org/10.3390/data8070113","url":null,"abstract":"In this paper, we propose a dataset for personality traits detection based on human face videos. Ground truth data have been annotated using the IPIP-50 personality test that every participant is implementing. To collect the dataset, we developed a web-based platform that allows us to acquire spontaneous answers for predefined questions from the respondents. The website allows the participants to record an interactive interview in order to imitate the real-life interview. The dataset includes 38 videos (2 min on average) for people of different races, genders, and ages. In the paper, we propose the top five personality traits calculated based on the test, as well as the top five personality traits calculated by our own developed model that determines this information based on video analysis. We introduced a statistical analysis for the collected dataset, and we also applied a K-means clustering algorithm to cluster the data and present the clustering results.","PeriodicalId":55580,"journal":{"name":"Atomic Data and Nuclear Data Tables","volume":"56 1","pages":""},"PeriodicalIF":1.8,"publicationDate":"2023-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90722693","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Juan Felipe Restrepo-Arias, María Isabel Salinas-Agudelo, M. Hernández-Pérez, Alejandro Marulanda-Tobón, María Camila Giraldo-Carvajal
Fruit counting and ripeness detection are computer vision applications that have gained strength in recent years due to the advancement of new algorithms, especially those based on artificial neural networks (ANNs), better known as deep learning. In agriculture, those algorithms capable of fruit counting, including information about their ripeness, are mainly applied to make production forecasts or plan different activities such as fertilization or crop harvest. This paper presents the RipSetCocoaCNCH12 dataset of cocoa pods labeled at four different ripeness stages: stage 1 (0–2 months), stage 2 (2–4 months), stage 3 (4–6 months), and harvest stage (>6 months). An additional class was also included for pods aborted by plants in the early stage of development. A total of 4116 images were labeled to train algorithms that mainly perform semantic and instance segmentation. The labeling was carried out with CVAT (Computer Vision Annotation Tool). The dataset, therefore, includes labeling in two formats: COCO 1.0 and segmentation mask 1.1. The images were taken with different mobile devices (smartphones), in field conditions, during the harvest season at different times of the day, which could allow the algorithms to be trained with data that includes many variations in lighting, colors, textures, and sizes of the cocoa pods. As far as we know, this is the first openly available dataset for cocoa pod detection with semantic segmentation for five classes, 4116 images, and 7917 instances, comprising RGB images and two different formats for labels. With the publication of this dataset, we expect that researchers in smart farming, especially in cocoa cultivation, can benefit from the quantity and variety of images it contains.
{"title":"RipSetCocoaCNCH12: Labeled Dataset for Ripeness Stage Detection, Semantic and Instance Segmentation of Cocoa Pods","authors":"Juan Felipe Restrepo-Arias, María Isabel Salinas-Agudelo, M. Hernández-Pérez, Alejandro Marulanda-Tobón, María Camila Giraldo-Carvajal","doi":"10.3390/data8060112","DOIUrl":"https://doi.org/10.3390/data8060112","url":null,"abstract":"Fruit counting and ripeness detection are computer vision applications that have gained strength in recent years due to the advancement of new algorithms, especially those based on artificial neural networks (ANNs), better known as deep learning. In agriculture, those algorithms capable of fruit counting, including information about their ripeness, are mainly applied to make production forecasts or plan different activities such as fertilization or crop harvest. This paper presents the RipSetCocoaCNCH12 dataset of cocoa pods labeled at four different ripeness stages: stage 1 (0–2 months), stage 2 (2–4 months), stage 3 (4–6 months), and harvest stage (>6 months). An additional class was also included for pods aborted by plants in the early stage of development. A total of 4116 images were labeled to train algorithms that mainly perform semantic and instance segmentation. The labeling was carried out with CVAT (Computer Vision Annotation Tool). The dataset, therefore, includes labeling in two formats: COCO 1.0 and segmentation mask 1.1. The images were taken with different mobile devices (smartphones), in field conditions, during the harvest season at different times of the day, which could allow the algorithms to be trained with data that includes many variations in lighting, colors, textures, and sizes of the cocoa pods. As far as we know, this is the first openly available dataset for cocoa pod detection with semantic segmentation for five classes, 4116 images, and 7917 instances, comprising RGB images and two different formats for labels. With the publication of this dataset, we expect that researchers in smart farming, especially in cocoa cultivation, can benefit from the quantity and variety of images it contains.","PeriodicalId":55580,"journal":{"name":"Atomic Data and Nuclear Data Tables","volume":"42 7 1","pages":"112"},"PeriodicalIF":1.8,"publicationDate":"2023-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83739375","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}