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Journal articles on the topic 'Crowd-technology'

Author: Grafiati

Published: 30 May 2022

Last updated: 31 July 2025

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1

BUSHOVSKA, L. "DEVELOPMENT OF CROWD TECHNOLOGY AND IN THE ACTIVITY OF THE ENTERPRISE." Herald of Khmelnytskyi National University. Economic sciences 284, no. 4 (2020): 58–61. https://doi.org/10.31891/2307-5740-2020-284-4-10.

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The possibilities of crowd-technology application in marketing activities of enterprises were considered in the article. It was analysed the nature of formation crowdsourcing phenomenon. Distinctions outsourcing and crowdsourcing were considered, the main of which is the employment process crowdsourcing wide range of people, unbounded by one organization, on the basis of a public offer. In the article it was also discussed the direction of application of crowd-technologies in marketing of enterprises. The authors analyse the process of applying crowd-technology in the marketing of the company.

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Ghosh, Animesh, Debrupa Pal, Debangan Paul Chowdhury, and Sudipta Kumar Dutta. "Crowd Funding using Blockchain Technology." International Journal of Darshan Institute on Engineering Research and Emerging Technologies 13, no. 1 (2024): 1–5. http://dx.doi.org/10.32692/ijdi-eret/13.1.2024.2401.

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Choi, Jieun, and Hwansoo Lee. "Technology Valuation Utilizing Crowd Sourcing Approach." Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology 6, no. 6 (2016): 403–12. http://dx.doi.org/10.14257/ajmahs.2016.06.42.

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Qin, Wen-Hu, Guo-Hui Su, and Xiao-Na Li. "Technology for simulating crowd evacuation behaviors." International Journal of Automation and Computing 6, no. 4 (2009): 351–55. http://dx.doi.org/10.1007/s11633-009-0351-9.

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Nishiyama, Hidefumi. "Crowd surveillance: The (in)securitization of the urban body." Security Dialogue 49, no. 3 (2018): 200–216. http://dx.doi.org/10.1177/0967010617741436.

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The recent proliferation of the securitization of crowded places has led to a growth in the development of technologies of crowd behaviour analysis. However, despite the emerging prominence of crowd surveillance in emergency planning, its impacts on our understanding of security and surveillance have received little discussion. Using the case of crowd surveillance in Tokyo, this article examines the ways in which crowds are simulated, monitored and secured through the technology of crowd behaviour analysis, and discusses the implications on the politics of security. It argues that crowd survei

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Zhao, Rongyong, Feng Hua, Bingyu Wei, et al. "A Review of Abnormal Crowd Behavior Recognition Technology Based on Computer Vision." Applied Sciences 14, no. 21 (2024): 9758. http://dx.doi.org/10.3390/app14219758.

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Abnormal crowd behavior recognition is one of the research hotspots in computer vision. Its goal is to use computer vision technology and abnormal behavior detection models to accurately perceive, predict, and intervene in potential abnormal behaviors of the crowd and monitor the status of the crowd system in public places in real time, to effectively prevent and deal with public security risks and ensure public life safety and social order. To this end, focusing on the abnormal crowd behavior recognition technology in the computer vision system, a systematic review study of its theory and cut

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Xiong, Jiecheng, Zhongsui Cao, Shuqian Duan, Bei Cao, Hui Qian, and Chenyang Li. "A Fourier Series-Based Multi-Point Excitation Model for Crowd Jumping Loads." Buildings 13, no. 7 (2023): 1782. http://dx.doi.org/10.3390/buildings13071782.

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Crowd jumping loads are often simplified to a single-point excitation in the existing Fourier series-based models, most of which lack the data support of crowd jumping experiments. A Fourier series-based multi-point excitation model for crowd jumping loads is herein developed, where two parameters, the jumping frequency, and the time lag shift, are selected to quantify the crowd synchronization. After the verification of 3D motion capture technology, the probability distributions of the jumping frequency and the time lag shift are modeled based on the crowd jumping experiment, in which the tra

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Oxana, Gulnara, Dmitry, Andrey, and Aleksandr. "Crowd-Technology in the Selection of Personnel." EUROPEAN RESEARCH STUDIES JOURNAL XX, Issue 4B (2017): 380–97. http://dx.doi.org/10.35808/ersj/897.

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Sato, Daisuke, Hisako Shiohara, Masaru Miyamoto, and Naonori Ueda. "People Flow Prediction Technology for Crowd Navigation." NTT Technical Review 16, no. 8 (2018): 47–52. http://dx.doi.org/10.53829/ntr201808fa8.

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Md Haron, Nor Rokiah Hanum, Khai Loon Lee, and Gusman Nawanir. "Assessing the Viability of Crowd Logistics for Last-mile Delivery: Case Studies in Malaysia Logistics Industry." e-Academia Journal 12, no. 1 (2023): 62–73. http://dx.doi.org/10.24191/e-aj.v12i1.21542.

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This study focuses on crowd logistics challenges in Malaysian crowd logistics companies. To the author's best knowledge, there is limited empirical qualitative research on crowd logistics, especially in the Malaysian logistics sector. This research aims to identify and examine the challenges that hinder the success of crowd logistics and how crowd logistics can shape the future of the logistics industry. A semi-structured interview with six industry experts, including logistics service providers and platform operators, were selected in this study to gain insights into their experiences and per

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Ilyas, Naveed, Ahsan Shahzad, and Kiseon Kim. "Convolutional-Neural Network-Based Image Crowd Counting: Review, Categorization, Analysis, and Performance Evaluation." Sensors 20, no. 1 (2019): 43. http://dx.doi.org/10.3390/s20010043.

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Traditional handcrafted crowd-counting techniques in an image are currently transformed via machine-learning and artificial-intelligence techniques into intelligent crowd-counting techniques. This paradigm shift offers many advanced features in terms of adaptive monitoring and the control of dynamic crowd gatherings. Adaptive monitoring, identification/recognition, and the management of diverse crowd gatherings can improve many crowd-management-related tasks in terms of efficiency, capacity, reliability, and safety. Despite many challenges, such as occlusion, clutter, and irregular object dist

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Sokolik, Larysa. "Key factors of using Crowd-technologies in the activities of Ukrainian local self-government bodies." 1, no. 1 (November 15, 2023): 40–58. http://dx.doi.org/10.26565/1684-8489-2023-1-03.

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The purpose of the article is to provide a conceptual justification of the fac-tors, conditions, and limitations regarding the implementation of crowd technolo-gies in the activities of local self-government bodies. It has been established that crowd technologies in local self-government are social technologies that involve the engagement of «informal public» in the govern-ance process through a public offer made by local self-government bodies. These technologies utilize the intellectual potential of online communities to address so-cially significant issues without entering into an employmen

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Bince, R. L. "Strike and tangle: Crowd control in the digital media environment." Explorations in Media Ecology 22, no. 3 (2023): 359–65. http://dx.doi.org/10.1386/eme_00175_7.

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To better understand crowds and crowd control practices in the digital media environment, this article briefly probes two institutions that practice ‘crowd control’ online: a cybersecurity company called CrowdStrike and a social media analytics service called CrowdTangle. These two firms continue the discourses of crowd theory in the traditions of criminologist Scipio Sighele and crowd psychologist Gustave Le Bon, adjusted for the new affordances of digital technology. The digital media environment affords infrastructure for forensically individualizing and influencing mass behaviour in the st

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Ji, Hua Juan, Jian Bo Zhao, and Huan Zhao. "The Design and Implementation of Prototype System for Choreography and Rehearsed Based on Virtual Simulation Technology." Applied Mechanics and Materials 713-715 (January 2015): 2495–98. http://dx.doi.org/10.4028/www.scientific.net/amm.713-715.2495.

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This paper use crowd simulation and virtual reality technology design choreography prototype system. Based on the analysis and research of group calisthenics performance’s choreography work draws the related theory of crowd movement model, proposes a crowd movement model which can describe actor behavior in group calisthenics. This paper is divided into three parts; the first part introduces the development of group gymnastics in China. The second part introduces the structure and function of group calisthenics prototype system. The third part focuses on the design and implementation of a prot

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Zhang, Yong, Xinyu Zhang, Tao Zhang, and Baocai Yin. "Crowd Motion Editing Based on Mesh Deformation." International Journal of Digital Multimedia Broadcasting 2020 (December 7, 2020): 1–13. http://dx.doi.org/10.1155/2020/3634054.

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Computer simulation is a significant technology on making great scenes of crowd in the film industry. However, current animation making process of crowd motion requires large manual operations which are time-consuming and inconvenient. To solve the above problem, this paper presents an editing method on the basis of mesh deformation that can rapidly and intuitively edit crowd movement trajectories from the perspective of time and space. The method is applied to directly generate and adjust the crowd movement as well as avoid the crash between crowd and obstacles. As for collisions within the c

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Johariani, Hana Septiana, and Fatma Hetami. "Human Corruption as The Effect of Modern Technology as Represented in Okky Madasari's "The Last Crowd"." Rainbow: Journal of Literature, Linguistics and Cultural Studies 8, no. 1 (2019): 30–37. http://dx.doi.org/10.15294/rainbow.v8i1.28543.

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Modern technology plays big roles in influencing human life, especially millenial generation. However , it can create human corruption due to its function abuse. The objectives of this study are: 1) to explain how human corruption is described in Okky Madasari’s The Last Crowd and 2) to explain how the modern technology creates human corruption as described in Okky Madasari’s The Last Crowd. The methodology used in this study was descriptive-qualitative. This study analyzed the novel using Levi Strauss’ theory. There were two objects of the study, namely material object which was The Last Crow

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Husman, Muhammad Afif, Waleed Albattah, Zulkifli Zainal Abidin, et al. "Unmanned Aerial Vehicles for Crowd Monitoring and Analysis." Electronics 10, no. 23 (2021): 2974. http://dx.doi.org/10.3390/electronics10232974.

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Crowd monitoring and analysis has become increasingly used for unmanned aerial vehicle applications. From preventing stampede in high concentration crowds to estimating crowd density and to surveilling crowd movements, crowd monitoring and analysis have long been employed in the past by authorities and regulatory bodies to tackle challenges posed by large crowds. Conventional methods of crowd analysis using static cameras are limited due to their low coverage area and non-flexible perspectives and features. Unmanned aerial vehicles have tremendously increased the quality of images obtained for

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18

Zhang, Jin, Luqin Ye, Jiajia Wu, Dan Sun, and Cheng Wu. "A Fusion-Based Dense Crowd Counting Method for Multi-Imaging Systems." International Journal of Intelligent Systems 2023 (October 18, 2023): 1–13. http://dx.doi.org/10.1155/2023/6677622.

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Dense crowd counting has become an essential technology for urban security management. The traditional crowd counting methods mainly apply to the scene with a single view and obvious features but cannot solve the problem with a large area and fuzzy crowd features. Therefore, this paper proposes a crowd counting method based on high and low view information fusion (HLIF) for large and complex scenes. First, a neural network based on an attention mechanism (AMNet) is established to obtain a global density map from a high view and crowd counts from a low view. Then, the temporal correlation and s

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Khan, Nusratullah, Kajal Nusratullah, and Mushtaq Ahmed Korai. "A Review of Deep Learning Techniques for Crowd Management." International Journal of Membrane Science and Technology 10, no. 3 (2023): 3233–40. http://dx.doi.org/10.15379/ijmst.v10i3.3264.

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Crowd Management is extremely important for maintaining safety and order in areas, such as events, transportation hubs, and urban centers. In the years deep learning methods have become tools for dealing with the complexities associated with crowd management. The adoption of this technology represents a change in how we analyze, predict, and respond to crowd dynamics. Deep learning algorithms can process amounts of data using CNNs. Learn intricate patterns enabling the creation of advanced models that can anticipate crowd behavior, identify unusual occurrences, and optimize crowd flow. By util

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Bonde, Prof Devyani. "Crowd Detection Management System." International Scientific Journal of Engineering and Management 04, no. 06 (2025): 1–9. https://doi.org/10.55041/isjem04011.

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Abstract — Smart cities aim not only to make people's lives more enjoyable but also safer using advanced technology. Being in crowded community spaces such as schools, colleges, stadiums, subway stations or holy spots on Pilgrimage impacts not only the level of human convenience but above all the threat of human security. An abnormal crowd conduct can lead to push, mass panic, stampede, crowd-crush, and causing an overall control loss. The current work introduced a mobile-based crowd abnormal behavior detection and management system. The system consists of two main parts; firstly, the server-s

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Grzybek, Agata, Gregoire Danoy, Pascal Bouvry, and Marcin Seredynski. "Mitigating flash crowd effect using connected vehicle technology." Vehicular Communications 2, no. 4 (2015): 238–50. http://dx.doi.org/10.1016/j.vehcom.2015.10.002.

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Nishinari, Katsuhiro, and Ken-ichi Tanaka. "Special Issue on Crowd Management and its Applications." Journal of Disaster Research 19, no. 2 (2024): 237–38. http://dx.doi.org/10.20965/jdr.2024.p0237.

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This special issue summarizes the research findings of the “Crowd Control Adaptive to Individual and Group Attributes” project, which is selected as a full-scale research project under the “Development of the Crisis Navigator for Individuals” prioritized theme of the JST Mirai Program.* Despite the lingering memory of the 2022 crowd accident in Itaewon, South Korea, similar accidents have occurred worldwide, including the firework display in Akashi, Japan, and the Love Parade in Germany. Addressing this social issue is imperative. To significantly reduce the risk of crowd accidents, this proje

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Ptashchenko, Liana, and Maya Chechelashvili. "Crowd Funding as a Tool for Financing the Construction of Social Facilities." International Journal of Engineering & Technology 7, no. 3.2 (2018): 329. http://dx.doi.org/10.14419/ijet.v7i3.2.14429.

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The article analyzes the social state of countries experiencing economic convergence in the European Community on the basis of rating indicators of the level of happiness of the population. It is noted that the main problem of weak socialization in these countries is inadequate financing of measures for implementing me general social policy, including construction of social facilities. The article substantiates the idea that it is possible to solve the problem of financing the construction of social facilities with the help of crowd funding, which is not popular in this industry yet. Based on

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Tiwari, Anushka, Arpit Srivastava, Deepesh Attri, and Rajeev Pandey. "WiFi-Tally: Crowd Monitoring and Counting: Review." International Journal for Research in Applied Science and Engineering Technology 12, no. 3 (2024): 1106–9. http://dx.doi.org/10.22214/ijraset.2024.59013.

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Abstract: WiFiTally is a cutting-edge technology designed for monitoring and counting crowds in public spaces using Wi-Fi signals. Imagine a system that can track and analyze the movement of people in areas like shopping malls, airports, or event venues without invading privacy. WiFiTally achieves this by tapping into the Wi-Fi signals emitted by smartphones and other connected devices carried by individuals. In simple terms, WiFiTally observes the patterns of Wi-Fi signals within a designated area, providing insights into crowd density and movement. Instead of relying on traditional methods l

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Radianti, Jaziar, Ole-Christoffer Granmo, Noureddine Bouhmala, Parvaneh Sarshar, and Jose J. Gonzalez. "Comparing Different Crowd Emergency Evacuation Models Based on Human Centered Sensing Criteria." International Journal of Information Systems for Crisis Response and Management 6, no. 3 (2014): 53–70. http://dx.doi.org/10.4018/ijiscram.2014070104.

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Emergency evacuation of crowds is a fascinating phenomenon that has attracted researchers from various fields. Better understanding of this class of crowd behavior opens up for improving evacuation policies and smarter design of buildings, increasing safety. Recently, a new class of disruptive technology has appeared: Human-centered sensing which allows crowd behavior to be monitored in real-time, and provides the basis for real-time crowd control. The question then becomes: to what degree can previous crowd models incorporate this development, and what areas need further research? In this pap

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Muzanenhamo, Arvid, and Marcia Mkansi. "A Human Capital Perspective on Behavioral Factors Affecting Customers’ Acceptance of Crowd Logistics: A Systematic Literature Review." Indonesian Journal of Innovation and Applied Sciences (IJIAS) 3, no. 3 (2023): 210–17. http://dx.doi.org/10.47540/ijias.v3i3.1044.

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This paper provides a systematic review of the customer’s behavioral deliberations that govern their choice to participate in a crowd-logistics market. Little attention has been given to the crowd logistics platforms and small businesses. This paper presents the analysis of customers' crowd logistics adoption from a behavioral perspective. The study applied a systematic literature review method and examined previous literature on crowd logistics from Science Direct and Taylor and Francis. Systematic literature review involve the principles of transparency, rigor, and replicability, which bring

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Jabbari, Abdoh, Khalid Almalki, Baek-Young Choi, and Sejun Song. "ICE-MoCha: Intelligent Crowd Engineering using Mobility Characterization and Analytics." Sensors 19, no. 5 (2019): 1025. http://dx.doi.org/10.3390/s19051025.

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Human injuries and casualties at entertaining, religious, or political crowd events often occur due to the lack of proper crowd safety management. For instance, for a large scale moving crowd, a minor accident can create a panic for the people to start stampede. Although many smart video surveillance tools, inspired by the recent advanced artificial intelligence (AI) technology and machine learning (ML) algorithms, enable object detection and identification, it is still challenging to predict the crowd mobility in real-time for preventing potential disasters. In this paper, we propose an intel

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Zhao, Hongying, Yang Yu, Youlang Ji, Jun Zhu, and Jinqiu Zhang. "Research on Power Knowledge Model Based on Group Wisdom." E3S Web of Conferences 64 (2018): 04009. http://dx.doi.org/10.1051/e3sconf/20186404009.

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This study described the plan of knowledge management and crowd innovation for Jiangsu electric company based on literature analysis on crowd innovation research and investigation of the company’s innovation state as well as its electric service. A knowledge management system was designed for all the experts in electric field, all the workers and the customers in order to achieve crowd innovation. This system was designed based on the consideration of innovation process, evaluation and motivation, and it is implemented with the Web 2.0 technology.

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Aljuaid, Hanan, Israr Akhter, Nawal Alsufyani, et al. "Postures anomaly tracking and prediction learning model over crowd data analytics." PeerJ Computer Science 9 (May 24, 2023): e1355. http://dx.doi.org/10.7717/peerj-cs.1355.

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Innovative technology and improvements in intelligent machinery, transportation facilities, emergency systems, and educational services define the modern era. It is difficult to comprehend the scenario, do crowd analysis, and observe persons. For e-learning-based multiobject tracking and predication framework for crowd data via multilayer perceptron, this article recommends an organized method that takes e-learning crowd-based type data as input, based on usual and abnormal actions and activities. After that, super pixel and fuzzy c mean, for features extraction, we used fused dense optical fl

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Zhang, Li, Lin Cao, Zongmin Zhao, Dongfeng Wang, and Chong Fu. "A Crowd Movement Analysis Method Based on Radar Particle Flow." Sensors 24, no. 6 (2024): 1899. http://dx.doi.org/10.3390/s24061899.

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Crowd movement analysis (CMA) is a key technology in the field of public safety. This technology provides reference for identifying potential hazards in public places by analyzing crowd aggregation and dispersion behavior. Traditional video processing techniques are susceptible to factors such as environmental lighting and depth of field when analyzing crowd movements, so cannot accurately locate the source of events. Radar, on the other hand, offers all-weather distance and angle measurements, effectively compensating for the shortcomings of video surveillance. This paper proposes a crowd mot

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Чуланова, Oksana Chulanova, Вишнякова, and T. Vishnyakova. "Crowdsourcing, Crowdrecruiting and Crowdfunding As Tools of Staff Recruitment System in the Organization." Management of the Personnel and Intellectual Resources in Russia 5, no. 1 (2016): 61–73. http://dx.doi.org/10.12737/18144.

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The article considers the crowdsourcing technology and based on its principles a crowdrecruiting technology as instruments of staff recruitment in the organization. The presented technologies are new eff ective tools large-scale by geographical coverage and number of participants of selection of the employees who are really interested in work with this organization. Crowd-technologies, which are based on «the phenomenon of the crowd» can not only greatly speed up the solution of important problems for the company, but also signifi cantly reduce costs. Was designed the methodo

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Zhu, Wenjie, Rongyong Zhao, Hao Zhang, et al. "Crowd Stability Analysis Based on Pedestrian Abnormal Postures." Journal of Physics: Conference Series 2224, no. 1 (2022): 012062. http://dx.doi.org/10.1088/1742-6596/2224/1/012062.

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Abstract Abnormal behaviors of pedestrians in crowd gathering public places are important factors affecting the stability of crowd flow. Pedestrian abnormal postures are important manifestation of abnormal behaviors, which often leads to local turbulence, disturbance and density-speed fluctuations. It is urgent to discover the disturbance mechanism of abnormal pedestrian posture on the stability of crowd flow. This study intends to establish machine vision, kinematics, dynamic models and crowd confluence dynamic models for typical abnormal pedestrian postures in public places. We mainly use co

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Nakata, Yukihiko. "Emerging “Crowdinnovation”: Crowd Community Enhanced Innovation through Information Technology." Journal of Technologies and Human Usability 12, no. 3-4 (2016): 1–11. http://dx.doi.org/10.18848/2381-9227/cgp/v12i3-4/1-11.

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Felemban, Emad A., Faizan Ur Rehman, Sardar Asad Ali Biabani, et al. "Digital Revolution for Hajj Crowd Management: A Technology Survey." IEEE Access 8 (2020): 208583–609. http://dx.doi.org/10.1109/access.2020.3037396.

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Cebula, Richard J. "Do federal budget deficits crowd out investment in technology?" Atlantic Economic Journal 22, no. 1 (1994): 99. http://dx.doi.org/10.1007/bf02301709.

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Yang, Xi, Suining He, Bing Wang, and Mahan Tabatabaie. "Spatio-Temporal Graph Attention Embedding for Joint Crowd Flow and Transition Predictions." Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 5, no. 4 (2021): 1–24. http://dx.doi.org/10.1145/3495003.

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Crowd mobility prediction, in particular, forecasting flows at and transitions across different locations, is essential for crowd analytics and management in spacious environments featured with large gathering. We propose GAEFT, a novel crowd mobility analytics system based on the multi-task graph attention neural network to forecast crowd flows (inflows/outflows) and transitions. Specifically, we leverage the collective and sanitized campus Wi-Fi association data provided by our university information technology service and conduct a relatable case study. Our comprehensive data analysis revea

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Murakami, Hisashi, Claudio Feliciani, Kenichiro Shimura, and Katsuhiro Nishinari. "A system for efficient egress scheduling during mass events and small-scale experimental demonstration." Royal Society Open Science 7, no. 12 (2020): 201465. http://dx.doi.org/10.1098/rsos.201465.

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Improvements in the design of pedestrian facilities have reduced the frequency of crowd accidents, and safety is now generally ensured in well-planned crowd events. However, congestion and inefficient use of infrastructures still remain an issue. To guarantee comfort and reduce close contacts between people, there are circumstances when crowd density may have to be reduced well below safety limits. Although research has given a lot of attention to extreme scenarios, methods to improve non-critical conditions have been little explored. In addition, crowd sensing technology is still mostly used

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Mao, Tianlu, Hao Jiang, Shihong Xia, and Zhaoqi Wang. "Recent Advances on Human Crowd Simulation." International Journal of Virtual Reality 9, no. 3 (2010): 27–32. http://dx.doi.org/10.20870/ijvr.2010.9.3.2775.

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Human crowd simulation is a new technology in the virtual reality field. Since it could simulate evacuation, it has strong demands in risk assessment for public buildings. In this paper we discuss the development of the main related research topics, including semantic description for virtual environments and crowd models which generate continuum human flow. Additionally, we introduce a system named Guarder that is designed for human crowd simulation and is suit for simulating evacuation in public buildings. We also demonstrate some simulation results of Guarder to show that it could efficientl

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Marzano, Gilberto. "Crowd-based applications and societal challenges." JAHR 11, no. 1 (2020): 247–60. http://dx.doi.org/10.21860/j.11.1.13.

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The spread of mobile technology and ubiquitous connectivity have opened great possibilities for the implementation of applications that leverage data generated by normal users’ interactions on the web. As a consequence, there is a growing interest in crowd-based applications, namely those programs that involve people in a participatory or opportunistic way. In many cases, data can be gathered automatically without user intervention and, in some cases, even without their explicit knowledge. The possibility to elude a users’ awareness fosters concerns regarding the potential risks hidden inside

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French, Tim, Nik Bessis, Carsten Maple, and Eleana Asimakopoulou. "Trust Issues on Crowd-Sourcing Methods for Urban Environmental Monitoring." International Journal of Distributed Systems and Technologies 3, no. 1 (2012): 35–47. http://dx.doi.org/10.4018/jdst.2012010103.

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This paper explores trust related issues arising from the use of a crowd-sourcing method. Crowd-sourcing is a relatively new method that utilises modern technologies to gather, analyse and visualise specific “on-the-fly” data. The data is typically acquired through the employment of mobile technology, with each device running a bespoke application that captures the desired information. The resulting “crowd sourced” data is readily available and the corresponding maps produced can in turn, be used to support strategic planning and to facilitate overall, more informed decision-making. The purpos

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Mehta, Dhananjay. "An Insight into Software Crowd Sourcing: How Crowd can transform the Business Model for Technology Service Providers." International Journal of Computer Applications 101, no. 12 (2014): 34–40. http://dx.doi.org/10.5120/17742-8900.

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Mei, Yanlan, Ping Gui, Xianfeng Luo, Benbu Liang, Liuliu Fu, and Xianrong Zheng. "IoT-based real time intelligent routing for emergent crowd evacuation." Library Hi Tech 37, no. 3 (2019): 604–24. http://dx.doi.org/10.1108/lht-11-2017-0251.

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Purpose The purpose of this paper is to take advantage of Internet of Things (IoT) for intelligent route programming of crowd emergency evacuation in metro station. It is a novel approach to ensure the crowd safety and reduce the casualties in the emergency context. An evacuation route programming model is constructed to select a suitable evacuation route and support the emergency decision maker of metro station. Design/methodology/approach The IoT technology is employed to collect and screen information, and to construct an expert decision model to support the metro station manager to make de

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Sokolik, Larysa. "Crowd-technologies in the governance system under conditions of military law in Ukraine." 2, no. 2 (December 30, 2022): 38–56. http://dx.doi.org/10.26565/1684-8489-2022-2-03.

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The article is devoted to the peculiarities of using crowd technologies in public institutions under conditions of military law in Ukraine. An analysis is made of the definition of crowd technologies in domestic and foreign literature. Criteria and indicators of crowd technologies are determined, including: a common goal as a factor of participants’ identity; absence of legal contracts and agreements; operational horizontal communication; a small amount of resources spent; non-financial incentives and motivation for attracting new participants; generation of decisions and ideas, obtaining new

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Sari, Ike Purnama, and Salina Kassim. "The Role of Islamic Crowd-Investing for Sustainable Agriculture in Indonesia." Signifikan: Jurnal Ilmu Ekonomi 10, no. 2 (2021): 343–58. http://dx.doi.org/10.15408/sjie.v10i2.20060.

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This research was conducted to discover the relationship between Islamic crowd investing and agriculture by exploring and analyzing the Islamic crowd-investing platform, and to describe the importance and benefits of sustainable agriculture in Indonesia. Funding platforms for agriculture are still relatively small in Indonesia. However, the potential for this sector is still very high due to the large number of demands and a large market. A systematic literature review with a qualitative approach research method was used in this study, specifically to review the literature retrieved from compu

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Al Duhayyim, Mesfer, Eatedal Alabdulkreem, Khaled Tarmissi, et al. "Aquila Optimization with Transfer Learning Based Crowd Density Analysis for Sustainable Smart Cities." Applied Sciences 12, no. 21 (2022): 11187. http://dx.doi.org/10.3390/app122111187.

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Video surveillance in smart cities provides efficient city operations, safer communities, and improved municipal services. Object detection is a computer vision-based technology, which is utilized for detecting instances of semantic objects of a specific class in digital videos and images. Crowd density analysis is a widely used application of object detection, while crowd density classification techniques face complications such as inter-scene deviations, non-uniform density, intra-scene deviations and occlusion. The convolution neural network (CNN) model is advantageous. This study presents

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Ziouvelou, Xenia, and Frank McGroarty. "A Business Model Framework for Crowd-Driven IoT Ecosystems." International Journal of Social Ecology and Sustainable Development 9, no. 3 (2018): 14–33. http://dx.doi.org/10.4018/ijsesd.2018070102.

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This article describes how the era of hyper-connectivity is characterized by distributed, crowd-centric ecosystems that utilise cutting edge technology so as to harness the collective power, co-creation ability and intelligence of the crowd utilising under open participatory value creation models. The Internet of Things (IoT) has fueled the emergence of such ecosystems that leverage not only the power of physical things connected to the Internet but also the wisdom of the crowd to observe, measure, and make sense of phenomena via user-owned mobile and wearable devices. Existing business modell

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Yuan, Peiyan, Xiaoxiao Pang, and Xiaoyan Zhao. "Influence of Crowd Participation Features on Mobile Edge Computing." Future Internet 10, no. 10 (2018): 94. http://dx.doi.org/10.3390/fi10100094.

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Mobile edge computing is a new communication paradigm, which stores content close to the end users, so as to reduce the backhaul delay and alleviate the traffic load of the backbone networks. Crowd participation is one of the most striking features of this technology, and it enables numerous interesting applications. The dynamics of crowd participation offer unprecedented opportunities for both content caching and data forwarding. In this paper, we investigate the influence of the dynamics of crowd participation, from the perspective of opportunistic caching and forwarding, and discuss how we

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Li, Jun, and Martin D. Eastgate. "Current complexity: a tool for assessing the complexity of organic molecules." Organic & Biomolecular Chemistry 13, no. 26 (2015): 7164–76. http://dx.doi.org/10.1039/c5ob00709g.

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Wang, Zhize. "Public Place Crowd Transaction Monitoring System." Frontiers in Computing and Intelligent Systems 6, no. 1 (2023): 111–14. http://dx.doi.org/10.54097/fcis.v6i1.21.

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Currently, the phenomenon of abnormal movement in public spaces by groups is becoming increasingly prominent, leading to issues concerning public flow and safety. The escalating problems of high crowd density, the presence of controlled dangerous items, and unexpected group activities highlight the necessity for timely detection in public settings. Timely identification of such scenarios will facilitate prompt responses and assistance from relevant government departments. Exploring how artificial intelligence technology can aid urban management personnel in effectively detecting abnormal group

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Zhang, Ying, Farhad Ali, Kunhao Wang, Shah Nazir, and Zeqi Leng. "Utilizing Virtual Crowd for Global Software Development." Scientific Programming 2021 (July 15, 2021): 1–9. http://dx.doi.org/10.1155/2021/2259594.

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Software firms are interested in outsourcing and developing of software globally to the virtual crowd for minimizing the product cost and for increasing the software quality. Developments in information technology (IT) have changed the organizational working environment from centralized to disperse development working practices. As a result, companies have recognized the value of virtual world networks that offer benefits such as efficient time management, lower cost of growth, reduced travel costs, and access to larger competent team members to select the right skilled individual. With the wi

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