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SUM'20: State-based User Modelling

Sahan Bulathwela, María Pérez-Ortiz, Rishabh Mehrotra, Davor Orlic, Colin de la Higuera, John Shawe-Taylor, Emine Yilmaz
2020 Proceedings of the 13th International Conference on Web Search and Data Mining  
Information systems → Personalization; Task models; Recommender systems. KEYWORDS Task-based search; state-aware systems; human in the loop; recommender systems; personalisation; user modelling.  ...  EXPECTED OUTCOMES Rather than focusing on different aspects of state-based user modelling in isolation (such as user interactions, task taxonomy spaces, etc.), SUM'20 encourages tabling the challenges,  ...  RELATED WORKSHOPS There have been several workshops that can be considered of relevance to the SUM'20 research themes. (AAAI'14) .  ... 
doi:10.1145/3336191.3371883 dblp:conf/wsdm/BulathwelaPMOHS20 fatcat:fjaq7ydpbff7hhxybgvfjo6tie

Development of Model for Providing Feasible Scholarship

Harry Dhika
2016 CommIT Journal  
are for the model testing.  ...  To establish and evaluate the model performance, empirical data are collected, and the data of 100 students are divided into 80 student data for the model training and the remaining of 20 student data  ...  20 80 precision 1 1 GPA mean 2.4 3.475 std. dev. 1.2806 0.4994 weight sum 20 80 precision 1 1 Ability Capable 10.0 1.0 Quite Capable 11.0 2.0 Unable 2.0 80.0 [total] 23.0  ... 
doi:10.21512/commit.v10i1.1666 fatcat:g6tkochrhvav7gw6fpk24n6yqy

Development of Model for Providing Feasible Scholarship

Harry Dhika
2016 CommIT Journal  
are for the model testing.  ...  To establish and evaluate the model performance, empirical data are collected, and the data of 100 students are divided into 80 student data for the model training and the remaining of 20 student data  ...  20 80 precision 1 1 GPA mean 2.4 3.475 std. dev. 1.2806 0.4994 weight sum 20 80 precision 1 1 Ability Capable 10.0 1.0 Quite Capable 11.0 2.0 Unable 2.0 80.0 [total] 23.0  ... 
doi:10.21512/commit.v10i1.895 fatcat:wjbgqo2v4bdsvlmqn4ywcdpbxy

Distinguishing Emotional Responses to Photographs and Artwork Using a Deep Learning-Based Approach

Heekyung Yang, Jongdae Han, Kyungha Min
2019 Sensors  
We answer this question by employing electroencephalogram (EEG)-based biosignals and a deep convolutional neural network (CNN)-based emotion recognition model.  ...  We employ Russell's emotion model, which matches emotion keywords such as happy, calm or sad to a coordinate system whose axes are valence and arousal, respectively.  ...  7 8 background art 3 4 other 2 2 sum 20 20 Table A1 .  ... 
doi:10.3390/s19245533 pmid:31847398 pmcid:PMC6960756 fatcat:q3rzsq7mbzcllehpdb4gjn6woy

Faster-than-Nyquist Asynchronous NOMA Outperforms Synchronous NOMA [article]

Shuangyang Li, Zhiqiang Wei, Weijie Yuan, Jinhong Yuan, Baoming Bai, Derrick Wing Kwan Ng, Lajos Hanzo
2021 arXiv   pre-print
Faster-than-Nyquist (FTN) signaling aided non-orthogonal multiple access (NOMA) is conceived and its achievable rate is quantified in the presence of random link delays of the different users.  ...  aFTN-NOMA, SNR SUM = 20 dB SNR SUM = 0 dB SNR SUM = 10 dB SNR SUM = 20 dB (a) Normalized sum-rate vs. number of users with different SNRs. relateive to NOMA (bits/s/Hz) aNOMA aFTN-NOMA (b) Normalized  ...  rate (bits/s/Hz) NOMA, SNR SUM = 0 dB aNOMA, SNR SUM = 0 dB aFTN-NOMA, SNR SUM = 0 dB NOMA, SNR SUM = 10 dB aNOMA, SNR SUM = 10 dB aFTN-NOMA, SNR SUM = 10 dB NOMA, SNR SUM = 20 dB aNOMA, SNR SUM = 20 dB  ... 
arXiv:2111.08258v2 fatcat:7tio3duoofh5lbcqbv67fqqgyq

In-depth Real-World Evaluation of NB-IoT Module Energy Consumption [article]

Milan Lukic, Srdjan Sobot, Ivan Mezei, Dragan Danilovic, Dejan Vukobratovic
2020 arXiv   pre-print
IPv4 UDP MQTT-SN Sum Publish/ 20 8 9 37 Subscribe IPv4 TCP MQTT Sum 20 20 34 74 IPv4 UDP CoAP Sum Rest- 20 8 20-30 48-58 based IPv4 TCP HTTP Sum 20 20 > 18 > 58  ...  By default, UE spends time in RRC Idle state, in which the base station (eNB) cannot allocate resources to UE. If UE needs to send/receive data, it transits to RRC Connected state.  ... 
arXiv:2005.13648v1 fatcat:4kk57vofkraghphwsxv3pzsg5a

Formation of school student's vocabulary skills through innovative technologies

Gulnara Omarovaa, Gulbanu Saduakas, Aziya Zhumabayeva, Aktoty Akzholova, Gulnar Uaisova
2021 World Journal on Educational Technology  
Keywords: Electronic book, innovative technologies, student feedback, technology-based learning  ...  Based on the results of the research, it is recommended to improve electronic books through innovative technologies and to carry out studies on increasing the use of electronic books by students.  ...  Sum 20 100 . Formation of school student's vocabulary skills through innovative technologies.  ... 
doi:10.18844/wjet.v13i4.6310 fatcat:7b5moxz23vewvb2ia7phmcewd4

Can We Achieve Fresh Information with Selfish Users in Mobile Crowd-Learning? [article]

Bin Li, Jia Liu
2019 arXiv   pre-print
efficiency due to selfish behavior of users.  ...  Toward this end, we consider a simple linear AoI-based reward mechanism and analyze its AoI and congestion performances in terms of price of anarchy (PoA), which characterizes the degradation of the system  ...  This implies E [L[t + 1] − L[t]] ≤ − γǫ N β N n=1 E[Q n [t]] − N n=1 µ n µ Σ E[∆ n [t]] + B(γ) β + N q − 1 + p max β . (20) Summing (20) for t = 0, 1, 2, . . . , T − 1, we obtain E[L[T ] − L[0]] ≤ −  ... 
arXiv:1902.06149v1 fatcat:gneook5upvgqvdoztccgz4bp4q

Tool Condition Monitoring of the Cutting Capability of a Turning Tool Based on Thermography

Nika Brili, Mirko Ficko, Simon Klančnik
2021 Sensors  
The proposed model, combining Infrared Thermography, Computer Vision, and Deep Learning, proved to be a suitable method with results of more than 96% accuracy.  ...  While existing temperature based TCM systems focus on measuring a cutting tool absolute temperature, the proposed system analyses a temperature distribution (relative temperatures) on the whole image based  ...  Future Work The intelligent model for cutting tool wear and defect monitoring determines the tool state based on the thermographic image.  ... 
doi:10.3390/s21196687 pmid:34641006 fatcat:o2iqogaqavfdrh2cwegggmxhpy

Semantic Interpretation of Phraseological Units in Ukrainian-Polish Electronic Phraseological Dictionary

Roman Tymoshuk, KHrystyna Vilchynska, Volodymyr Shyrokov, Maksym Nadutenko
2015 Cognitive Studies | Études cognitives  
phraseological lexicons it is necessary to address such theoretical issues as the formulation linguistically grounded principles of selection of phraseological units and their translation, semantic interpretation based  ...  of the world of the linguistic systems, comprehensive combination of elements of the structure and presentation of various linguistic ambiguities, rational form of dictionary entries and building of user-friendly  ...  of its components, but occurs on the basis of rethinking mainly due to metaphorical and analogical processes (SUM-20, 2010, p. 24) .  ... 
doi:10.11649/cs.2015.021 fatcat:6st767tnezczpac56d2hk7kc6e

Game-based e-retailing in GOLEM agent environments

Stefano Bromuri, Visara Urovi, Kostas Stathis
2009 Pervasive and Mobile Computing  
We also describe the features of GOLEM that allow a user to engage in e-retailing activities in order to explore the virtual social environment by searching and dynamically discovering new agents, products  ...  The result does not necessarily need to be zero-sum [20] , by requiring a winner and a loser, but it can also give rise to a win/win or loose/loose situation, depending on the application and the multi-agent  ...  based on the user profile and preferences.  ... 
doi:10.1016/j.pmcj.2009.05.003 fatcat:ae2c2eiekfc5jnactkldjepc3i

Proactive DDoS Attack Mitigation in Cloud-Fog Environment using Moving Target Defense [article]

Vaishali Kansal, Mayank Dave
2020 arXiv   pre-print
"i" can send per second limit[i] maximum usage of a user "i" countfid[i] number of requests served by a fog server for a user "i" flag[i] state of each fog server "i" account[i] number of  ...  Based on the kind of changes MTD is making to the system it has been classified into four categories i.e., Software based diversification , Runtime based diversification, Communication diversification  ... 
arXiv:2012.01964v1 fatcat:wsknjchh6rgjzpvwz3to2mruge

Clone Detection Based on BPNN and Physical Layer Reputation for Industrial Wireless CPS

Fei Pan, Hong Wen, Xuesong Gao, Haibo Pu, Zhibo Pang
2020 IEEE Transactions on Industrial Informatics  
The existing clone detection schemes are either based on upper layer observations or physical layer channel state information.  ...  The schemes based on upper layer observations are vulnerable to defamation while the schemes based on channel state information perform better against defamation, but are badly affected by channel conditions  ...  When N sum = 3 and N sum = 20, the reputations are shown in Figs. 9 and 10, according to R 6 .  ... 
doi:10.1109/tii.2020.3028120 fatcat:ncwssuzvfreunafegfgvbtja4a

Scalable Psychological Momentum Forecasting in Esports [article]

Alfonso White, Daniela M. Romano
2020 arXiv   pre-print
By leveraging temporal data and appropriate models, we show that a learned representation of player psychological momentum, and of tilt, can be used, in combination with player expertise, to achieve state-of-the-art  ...  SUM '20, February 03-07, 2020, Houston, TX © 2020 Copyright held by the owner/author(s).  ...  Whereas other tilt detection methods have used peripheral equipment to estimate affective states [Wei et al. 2016 ], we use a minimal amount of information to infer effects through user interactions and  ... 
arXiv:2001.11274v1 fatcat:z5t3t22rbrg3zob5mpkjqonwp4

Fast, versatile, and quantitative annotation of complex images [article]

Kathleen Bates, Shen Jiang, Ruth Bates, Shivesh Chaudhary, Emily Jackson-Holmes, Melinda Jue, Erin McCaskey, Daniel Goldman, Hang Lu
2018 bioRxiv   pre-print
The app is simple enough to be used by children, and annotation tasks are distributed across app users, contributing to efficient annotation.  ...  , including features of rice root growth and structure, stem cell aggregate morphology, and complex worm (C. elegans) postures, for which we show that the speed of annotation is >130-fold faster than state-of-the-art  ...  To identify a threshold similarity score below which we could consider 5 two annotations to be from distinct groups, we modeled the distribution of similarity scores 6 from user-user comparisons (Fig  ... 
doi:10.1101/391169 fatcat:4ztxw6zwfjealj43nbkwnnzpyu
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