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Journal articles on the topic 'Mobile Pattern'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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1

Jain, Suman, and Dr Balgopa l Singh. "Evolution Pattern of Mobile Phones –A Historical Study." SIJ Transactions on Industrial, Financial & Business Management 04, no. 06 (2016): 01–07. http://dx.doi.org/10.9756/sijifbm/v4i6/04050130401.

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Zhang, Xiao, and Yan Chen. "Mobile assemblies of Bennett linkages from four-crease origami patterns." Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences 474, no. 2210 (2018): 20170621. http://dx.doi.org/10.1098/rspa.2017.0621.

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This paper deals with constructing mobile assemblies of Bennett linkages inspired by four-crease origami patterns. A transition technique has been proposed by taking the thick-panel form of an origami pattern as an intermediate bridge. A zero-thickness rigid origami pattern and its thick-panel form share the same sector angles and folding behaviours, while the thick-panel origami and the mobile assembly of linkages are kinematically equivalent with differences only in link profiles. Applying this transition technique to typical four-crease origami patterns, we have found that the Miura-ori and

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Mazen Mohammed Mutad Alsurayhi, Mazen Mohammed Mutad Alsurayhi. "The Impact of Control Pattern Difference in Mobile Applications on Developing Cognitive achievement among Students with Learning Disabilities at the Primary Level: أثر اختلاف نمط التحكم في التطبيقات النقالة على تنمية التحصيل المعرفي لدى طلاب صعوبات التعلم بالمرحلة الابتدائية". مجلة العلوم التربوية و النفسية 6, № 11 (2022): 183–200. http://dx.doi.org/10.26389/ajsrp.s010921.

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This research aimed to identify the impact of control pattern difference in mobile applications on developing cognitive achievement among students with learning disabilities at the primary level. The research problem can be summarized in the following main question: What is the impact of control pattern difference in mobile applications on developing the cognitive achievement among students with learning disabilities at the primary level? The researcher used the quasi-experimental method to answer the main question of the research. The experiment was divided into two experimental groups: the f

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Shanthy, T. Rajula. "Mobile Use Pattern of Sugarcane Growers in Kamareddy District, Telangana State." Indian Research Journal of Extension Education 22, no. 5 (2022): 275–82. http://dx.doi.org/10.54986/irjee/2022/dec_spl/275-282.

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This study tries to fi gure out an understanding of mobile use pattern of sugarcane growers in Kamareddy District, Telangana state in terms of their socioeconomic profi le, information needs through mobile app, perceived benefi ts of information delivery on sugarcane through mobile app and the possible constraints involved by interviewing 60 growers from the command area of Gayathri Sugars, Telengana. Demographic profi le indicated that they were mostly middle to old-aged with secondary to graduate level of education, had a rich farming experience of more than 25 years and majority owned 3-5 h

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Thabasu Kannan, S., and N. Shakeela. "Optimization of Location Management Cost by Mobility Pattern." Asian Journal of Electrical Sciences 3, no. 2 (2014): 46–50. http://dx.doi.org/10.51983/ajes-2014.3.2.1925.

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As per one survey, every mobile user possesses two mobiles in the ratio of 1:2. Out of this 75% of the mobiles belongs to the category of smart phones. In this situation, the technology also fulfills the requirements for future advanced usage. Now-a-days mobile plays a pivotal role for connecting the global matters with in the hold of our palm. The main factor which influences the availability of mobile system in the market is speed and portability. Hence the speedy retrieval is the tharaga manthra pronounced in the minds of mobile users. In the instant world, time is the major constraint for

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Robert, Wang, Chan Stephan, and Chang Yung-Cheng. "Performance Evaluation of Android Pattern Authentication Systems." Engineering: An International Journal 1, no. 1 (2019): 1–14. https://doi.org/10.5281/zenodo.3774821.

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Mobile security is critical today as the usage of mobile devices has been increasing; consequently mobile security becomes more crucial.  People are frequently using mobile devices for secure storage of their sensitive data like social security numbers, credit card numbers. If these devices are not handled securely, anyone can access the mobile devices by hacking the authentication passwords. Pattern locking systems are commonly exercised for validating a user for mobile access.  But these systems are not safe, and are subjected to pre-computation attacks like dictionaries, rainbow t

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Mohbey, Krishna Kumar. "Utility Based Frequent Pattern Extraction from Mobile Web Services Sequence." Journal of Information Technology Research 11, no. 2 (2018): 31–52. http://dx.doi.org/10.4018/jitr.2018040103.

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This article describes how patterns discovery of mobile web services is an emerging field today, in which utility also plays an important role. Utility may be referred to as profit, price, significance or preference of the mobile web services. With the help of web utility, one can discover highly interesting patterns of mobile web services. In the previous related studies, most of the approaches use utility as an important parameter to discover interesting patterns, but they also generate a large number of uninterested patterns too. Another problem is related to computational time; because no

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Kariya, Viren B., and Lalit C. Ratanpara. "STUDY THE PATTERN OF MOBILE PHONE USAGE IN MEDICAL STUDENTS." International Journal of Anatomy and Research 7, no. 3.1 (2019): 6717–21. http://dx.doi.org/10.16965/ijar.2019.204.

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Indrawan, Deri, Dana Sulistyo Kusumo, and Shinta Yulia Puspitasari. "ANALYSIS OF THE IMPLEMENTATION OF MVVM ARCHITECTURE PATTERN ON PERFORMANCE OF IOS MOBILE-BASED APPLICATIONS." JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) 8, no. 1 (2023): 59–65. http://dx.doi.org/10.29100/jipi.v8i1.3293.

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Performance efficiency is important in mobile application development because mobile devices have limitations in terms of power and resources. Performance efficiency can be improved by applying architecture patterns. In this paper, we use the Model View ViewModel (MVVM) architecture. The application of the architecture is carried out to analyze how practical the application of the MVVM architecture pattern is in increasing performance efficiency in the mobile application. Performance efficiency is measured based on CPU usage, memory usage, and execution Time. The case study shows that the CPU

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Barmpatsalou, Konstantia, Tiago Cruz, Edmundo Monteiro, and Paulo Simoes. "Mobile Forensic Data Analysis: Suspicious Pattern Detection in Mobile Evidence." IEEE Access 6 (2018): 59705–27. http://dx.doi.org/10.1109/access.2018.2875068.

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Singh, Dharmender, P. S. Shehrawat, Joginder Singh Malik, Dangi Pooja Arun, and Dinesh Kumar. "Utilization Pattern of Mobile Apps Among Farmers for Agricultural Production." Indian Journal of Extension Education 59, no. 1 (2023): 150–53. http://dx.doi.org/10.48165/ijee.2023.59132.

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The study was undertaken in the four specifically chosen districts of Haryana state in diverse geographical locations and had different crop patterns. In a number of districts, the main cropping pattern was rice and wheat, combined with pearl millet and mustard. This study aimed to determine how agricultural mobile apps were used by farmers for agricultural productivity by using a utility index. In accordance with a well-planned and pre-tested interview schedule, the data were gathered from 240 respondents, including 15 respondents each from randomly chosen 16 villages. Utilization pattern che

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Bhavani, Gottemukkula, V. Ravinder Naik, M. Sreenivasulu, P. Akshith Sai, and K. Madhu Babu. "Mobile Use Pattern of Agri-Graduates." Journal of Global Communication 12, no. 2 (2019): 105. http://dx.doi.org/10.5958/0976-2442.2019.00018.1.

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Goh, John, and David Taniar. "Mining Matrix Pattern from Mobile Users." International Journal of Intelligent Information Technologies 2, no. 1 (2006): 37–67. http://dx.doi.org/10.4018/jiit.2006010103.

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Yuan, Ruixi. "Traffic pattern based mobile routing scheme." Computer Communications 18, no. 1 (1995): 32–36. http://dx.doi.org/10.1016/0140-3664(94)00746-5.

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D Kulkarni, Nilesh, and Saurav Bansal. "Strategy Design Pattern Applied on a Mobile App Building." Journal of Mathematical & Computer Applications 1, no. 1 (2022): 1–6. http://dx.doi.org/10.47363/jmca/2022(1)121.

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This paper provides the importance and application of design patterns in software engineering, particularly focusing on the Strategy Design Pattern. It outlines how design patterns offer efficient, flexible, and reusable solutions to common problems in object-oriented software development. The paper presents a case study of Strategy Design Pattern’s application in a mobile app builder, emphasizing its role in creating adaptable and maintainable software architecture. Additionally incorporates commentary on the SOLID Open and Close principle, explaining how it allows software entities to be ext

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Sabdia, Nur, and Zuhriah Zuhriah. "Pola Komunikasi pada Anak yang Kecanduan Handphone di Dalam Keluarga:." Reslaj : Religion Education Social Laa Roiba Journal 5, no. 6 (2023): 3104–17. http://dx.doi.org/10.47467/reslaj.v5i6.3966.

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Communication is one of the most appropriate elements to shape the character of children in the family, but along with the rapid pace of communication technology begins to erode and fascive because children's lives are closer to the technology. This research is a type of qualitative research that aims to describe how communication patterns in children who are addicted to cellphones in the family. The results of this study show that the communication pattern that occurs in children who are addicted to mobile phones in Bandar Kumbul village, West Bilah District, Labuhan Batu Regency is a permiss

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Lin, Y. C., C. H. Chen, K. L. Su, and J. H. Guo. "Image Recognition Method Applying in Formation Control of Mobile Robots." Applied Mechanics and Materials 190-191 (July 2012): 693–98. http://dx.doi.org/10.4028/www.scientific.net/amm.190-191.693.

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The article develops multi-pattern formation exchange using A* searching algorithm, and programs the shortest motion paths for mobile robots. The system contains an image recognition system, a motion platform, some wireless RF modules and five mobile robots. We use Otsu algorithm to recognize the variety 2D bar code to classify variety pattern, and control five mobile robots to execute formation exchange, and present the movement scenario on the motion platform. We have been developed some pattern formations according to game applications, such as hook pattern formation, T pattern formation, L

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Ho, Tang Swee, Goh Chok How, Yeong Che Fai, Tey Wei Kang, and Eileen Su Lee Ming. "Vision Recognition on Line Pattern Following Behavior on POB-Bot." Applied Mechanics and Materials 432 (September 2013): 453–57. http://dx.doi.org/10.4028/www.scientific.net/amm.432.453.

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Robust development in the industries had lead to the fast development of the robots and sensors. Mobile robot is able to replace human power for many things due to its low cost and high accuracy. Types of navigation of the mobile robot had been in the research for past decades, the simplest and straight forward method of mobile robot navigation will be line following. Line following basically allows the robot to move along the predefined line. This paper is proposing a novel method of line following for more functions for mobile robot. 12 patterns have been defined to perform different functio

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Oyediran, Mayowa O., Sunday Adeola Ajagbe, Olufemi S. Ojo, et al. "Comparative analysis of selected optimization algorithms for mobile agents’ migration pattern." Indonesian Journal of Electrical Engineering and Computer Science 36, no. 1 (2024): 685. http://dx.doi.org/10.11591/ijeecs.v36.i1.pp685-693.

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Mobile agents are agents that can migrate from host-to-host to work in a heterogeneous network environment. A mobile agent can migrate from host-to-host in its plan with the statistics generated on each host through a route known as migration pattern. Migration pattern therefore is the route the agents use to travel within the plan from the first host to the last host. However, there is a need for a comparison between the commonly used optimization algorithms in developing migration patterns for mobile agents with respect to some evaluation metrics. In this paper, the three techniques firefly

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Mayowa, O. Oyediran Sunday Adeola Ajagbe Olufemi S. Ojo Adedayo Wasiat Elegbede Michael Olumuyiwa Adio Abidemi Emmanuel Adeniyi Isaiah O. Adebayo Princewill Chima Obuzor Matthew Olusegun Adigun. "Comparative analysis of selected optimization algorithms for mobile agents' migration pattern." Indonesian Journal of Electrical Engineering and Computer Science 36, no. 1 (2024): 685–93. https://doi.org/10.11591/ijeecs.v36.i1.pp685-693.

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Mobile agents are agents that can migrate from host-to-host to work in a heterogeneous network environment. A mobile agent can migrate from host-to-host in its plan with the statistics generated on each host through a route known as migration pattern. Migration pattern therefore is the route the agents use to travel within the plan from the first host to the last host. However, there is a need for a comparison between the commonly used optimization algorithms in developing migration patterns for mobile agents with respect to some evaluation metrics. In this paper, the three techniques firefly

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Taniar, David, and John Goh. "On Mining Movement Pattern from Mobile Users." International Journal of Distributed Sensor Networks 3, no. 1 (2007): 69–86. http://dx.doi.org/10.1080/15501320601069499.

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In the era in which activities performed by mobile users are tracked through various sensing mechanisms, the movement data collected through these sensors is submitted into a data mining algorithm in order to determine the movement pattern. The movement pattern refers to the pattern that mobile users generally take to move from one base location to another base location through multiple intermediate locations. This paper provides a proposal and case study on how the movement pattern can be extracted from mobile users through transforming the user movement database to the location movement data

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Börsting, Ingo, Can Karabulut, Bastian Fischer, and Volker Gruhn. "Design Patterns for Mobile Augmented Reality User Interfaces—An Incremental Review." Information 13, no. 4 (2022): 159. http://dx.doi.org/10.3390/info13040159.

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The virtual enhancement of the physical world through Augmented Reality (AR) has an enormous potential in its application, but faces challenges in its development. The lack of standards and the increased complexity of interaction opportunities complicate the definition of suitable User Interfaces (UIs). Several principles and patterns have been formulated to simplify UI design for AR applications, but their joint contribution to a positive usability as well as the influence of individual patterns remain unclear. In this paper, AR design principles from selected research were reviewed and merge

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Mao, Ying Chi. "Optimal Deployment for Mobile Target Tracking in Sensor Networks." Advanced Materials Research 468-471 (February 2012): 1657–60. http://dx.doi.org/10.4028/www.scientific.net/amr.468-471.1657.

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Mobile target tracking is a key application of wireless sensor network-based surveillance systems. Sensor deployment is an important factor in tracking performance and remains a challenging problem. In this paper, we address the problem of optimal sensor deployment for mobile target tracking. We analyze the tracking performance of three patterns. Simulation results demonstrate that the irregular pattern outperforms the other two patterns.

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Thapa, Kriti, Rita Pokharel, Rambha Sigdel, and Surya Prasad Rimal. "Pattern of Mobile Phone Use among Students of An Institution." Journal of Nepal Medical Association 56, no. 209 (2018): 522–26. http://dx.doi.org/10.31729/jnma.3442.

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 Introduction: The charm of mobile phone is more among young generation and the increasing use can lead to various harmful effects and may result in dependence. The objective of the study is to evaluate the pattern of mobile phone use among medical students. Methods: A descriptive cross sectional study was conducted on a total of 229 medical students aged between 18 and 25 years who were using mobile phones for more than 1 year by using simple random sampling technique. Students were requested to complete a pre-tested self-administered questionnaire which comprised their socio-demo

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Wu, Dan, and Renmin Bi. "Impact of device on search pattern transitions." Electronic Library 35, no. 4 (2017): 650–66. http://dx.doi.org/10.1108/el-10-2016-0239.

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Purpose This paper discusses the differences in search pattern transitions for mobile phone, tablet and desktop devices by mining the transaction log data of a library online public access catalogue (OPAC). We aimed to analyze the impacts of different devices on user search behavior and provide constructive suggestions for the development of library OPACs on different devices. Design/methodology/approach Based on transaction logs which are 9 GB in size and contain 16,140,509 records of a university library OPAC, statistics and clustering were used to analyze the differences in search pattern t

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Guo, J. Hung, Yung Chin Lin, Kuo Lan Su, and Bo Yi Li. "Motion Planning of Multiple Pattern Formation for Mobile Robots." Applied Mechanics and Materials 284-287 (January 2013): 1877–82. http://dx.doi.org/10.4028/www.scientific.net/amm.284-287.1877.

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The article designs the multiple pattern formation controls of the multi-robot system according to two arms’ gesture of the player, and uses flood fill searching algorithm and A* searching algorithm to program the motion paths. The inertia module detects two arms’ gesture of the player. We use the inertia module to be embedded in the two arms, and use mobile robots to present the movement scenario of pattern formation exchange on the grid based motion platform. We have been developed some pattern formations applying in the war game, such as rectangle pattern formation, long snake pattern forma

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Fujinaga, Nao, Yukiko Yamauchi, Hirotaka Ono, Shuji Kijima, and Masafumi Yamashita. "Pattern Formation by Oblivious Asynchronous Mobile Robots." SIAM Journal on Computing 44, no. 3 (2015): 740–85. http://dx.doi.org/10.1137/140958682.

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Lin, Pei-Yu, and Wei-Fan Hsieh. "Media pattern exhibition mechanism via mobile devices." Journal of Visual Communication and Image Representation 25, no. 8 (2014): 1856–64. http://dx.doi.org/10.1016/j.jvcir.2014.09.010.

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Iwan, Lukman Hakim, and Maytham Safar. "Pattern mining from movement of mobile users." Journal of Ambient Intelligence and Humanized Computing 1, no. 4 (2010): 295–308. http://dx.doi.org/10.1007/s12652-010-0024-0.

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Zhang, Qian, and Yunlan Ren. "Mobile User English Learning Pattern Recognition Model based on Integrated Learning." Scalable Computing: Practice and Experience 25, no. 4 (2024): 2371–84. http://dx.doi.org/10.12694/scpe.v25i4.2813.

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The research in the field of mobile assisted language learning has a long history. It basically follows the route from theory to application practice, but there are few process studies on learners’ individual language skills learning behavior based on mobile platform data. This research takes vocabulary learning as the starting point, and constructs a mobile user English learning pattern recognition model with improved Stacking integration algorithm. The purpose of this study is to identify different learning modes by analyzing the learning behavior and learning data of mobile users, and to pr

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Moser, Florian. "Mobile Banking." International Journal of Bank Marketing 33, no. 2 (2015): 162–77. http://dx.doi.org/10.1108/ijbm-08-2013-0082.

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Purpose – Though Mobile Banking has raised high expectations in research and practice, it neither experienced broad adoption nor allows it banks to realize additional earnings yet. By analyzing the discourse in form of publications in research and practice as a proxy for the subsequent actual adoption, the purpose of this paper is to examine whether Mobile Banking is just a fashionable concept and whether academics or practitioners are leading the debate on Mobile Banking. Design/methodology/approach – On the basis of academic and practical Mobile Banking publications from the last 13 years, d

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King, Martin P. "Life and death in the ‘Neolithic’: Dwelling-scapes in southern Britain." European Journal of Archaeology 4, no. 3 (2001): 323–45. http://dx.doi.org/10.1179/eja.2001.4.3.323.

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Using recent work relating to subsistence and residential patterns in the British ‘Neolithic’, I argue that the dispersal of human skeletal material, characteristic of the ‘Neolithic’ in southern Britain, can be seen as the ‘fall-out’ of a dispersed and mobile pattern of residence. This pattern of human skeletal material can therefore be viewed independently from any specific complex and multiple-stage mortuary processes. Further, the role of the stone, timber and earthen constructions that frame this mobile ‘dwelling-scape’ is viewed in relation to their changing visibility as the vegetation

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Wang, W., Z. Luan, B. He, et al. "A NEW HIERARCHICAL CLUSTERING APPROACH FOR SPARSE MOBILE PHONE TRAJECTORIES." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-4 (September 19, 2018): 697–701. http://dx.doi.org/10.5194/isprs-archives-xlii-4-697-2018.

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<p><strong>Abstract.</strong> Understanding the pattern of human activities benefits both the living service providing for the public and the policy-making for urban planners. The development of location-aware technology enables us to acquire large volume individual trajectories with different spatial and temporal resolution, such as GPS trajectories, mobile phone positioning data, social media check-in data, Wifi, and Bluetooth. However, the highest population penetrated mobile phone positioning trajectories are hard to infer human activity pattern directly, because of the s

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Modi, Bharat P., and Dr Jayesh M. Patel. "User Behavior Pattern Analysis Mobile User’s Destination Point and their Service Utilization." International Journal of Scientific Research 3, no. 1 (2012): 83–85. http://dx.doi.org/10.15373/22778179/jan2014/28.

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Utkun, Emine, Erkan Yeşil, and Nezla Ünal. "Development of a Mobile-Based Application Software Body Size Calculator." Fibres and Textiles in Eastern Europe 26, no. 2(128) (2018): 104–7. http://dx.doi.org/10.5604/01.3001.0011.5747.

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Clothing fit is one of the important factors affecting consumers’ purchasing behaviour and clothing satisfaction. The aim of this study was to develop a mobile-based body size calculator program to compare standard mass production body measurements with female body measurements taken individually. Another aim of the study was to investigate the effects of size difference between the body measurements taken individually and mass productionbased measurements on pattern drafting. At the end of the study, the program developed was run, the differences between the patterns examined and pattern modi

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Wang, Qinghua, and Yan Zhu. "Temporal Pattern of Communication." Journal of Electronic Commerce in Organizations 12, no. 4 (2014): 57–68. http://dx.doi.org/10.4018/jeco.2014100106.

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With the emergence of mobile Internet and social media, human relationship has evolved into a new form due to the much broader reach and more efficient communications enabled by information technology. This paper examines the communication pattern and impact on social group in the context of a Chinese popular mobile social media app. It analyzes a dataset that comprised of the information about sending and receiving messages by 10,000 users over one month period. It found a strong temporal pattern of a significant difference between Monday and other days: the least frequent usages on Monday am

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Parmar, Harshit, Fred Davis, and Eric Walden. "Understanding the neurodynamic process of decision-making for mobile application downloading." PLOS ONE 17, no. 12 (2022): e0278753. http://dx.doi.org/10.1371/journal.pone.0278753.

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In this article, we try to explore and understand the neurodynamics of the decision-making process for mobile application downloading. We begin the model development in a rather unorthodox fashion. Patterns of brain activation regions are identified, across participants, at different time instance of the decision-making process. Region-wise activation knowledge from previous studies is used to put together the entire process model like a cognitive jigsaw puzzle. We find that there are indeed a common dynamic set of activation patterns that are consistent across people and apps. That is to say

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Jahagirdar, Vinay, Kaanthi Rama, Pranavi Soppari, and M. Vijay Kumar. "Mobile Phones: Vital Addiction or Lethal Addiction? Mobile Phone Usage Patterns and Assessment of Mobile Addiction among Undergraduate Medical Students in Telangana, India." Journal of Addiction 2021 (October 20, 2021): 1–6. http://dx.doi.org/10.1155/2021/8750650.

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Background. Increased mobile phone usage among undergraduate medical students causes a detrimental effect on their health. The main focus of this study is to determine the pattern of mobile phone usage among undergraduate medical students in Hyderabad, India, and the detrimental effect on their health due to excess mobile use. Materials and Methods. A cross-sectional study was conducted among undergraduate medical students from various medical colleges in Hyderabad, India, from September 2020 to January 2021. Data were collected from 626 respondents using a semistructured, pretested questionna

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Thelen, Esther. "Three-Month-Old Infants Can Learn Task-Specific Patterns of Interlimb Coordination." Psychological Science 5, no. 5 (1994): 280–85. http://dx.doi.org/10.1111/j.1467-9280.1994.tb00626.x.

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Three-month-old infants cannot yet coordinate and control their limbs for functional tasks like reaching or locomoting This study demonstrates that given an appropriate, novel task, infants can transform their seemingly spontaneous kicking movements into new and efficient patterns of interlimb coordination even at this early age Three-month-old infants were allowed to control the movement of an overhead mobile by means of a string attached to their left ankles In addition, some groups had their two legs yoked together at the ankle with a soft elastic The elastic permitted kicks to be coordinat

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Zhang, Huan, and Pubudu N. Pathirana. "Optimization-based formation of autonomous mobile robots." Robotica 29, no. 4 (2010): 515–25. http://dx.doi.org/10.1017/s0263574710000366.

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SUMMARYThe formation of autonomous mobile robots to an arbitrary geometric pattern in a distributed fashion is a fundamental problem in formation control. This paper presents a new asynchronous, memoryless (oblivious) algorithm to the formation problem via distributed optimization techniques. The optimization minimizes an appropriately defined difference function between the current robot distribution and the target geometric pattern. The optimization processes are performed independently by individual robots in their local coordinate systems. A movement strategy derived from the results of th

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Ahn, Junho, and Richard Han. "Personalized Behavior Pattern Recognition and Unusual Event Detection for Mobile Users." Mobile Information Systems 9, no. 2 (2013): 99–122. http://dx.doi.org/10.1155/2013/360243.

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Mobile phones have become widely used for obtaining help in emergencies, such as accidents, crimes, or health emergencies. The smartphone is an essential device that can record emergency situations, which can be used for clues or evidence, or as an alert system in such situations. In this paper, we focus on mobile-based identification of potentially unusual, or abnormal events, occurring in a mobile user's daily behavior patterns. For purposes of this research, we have classified events as “unusual” for a mobile user when an event is an infrequently occurring one from the user's normal behavio

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Ramadhan, A. W., A. Wibowo, and R. Saraswati. "Spatial Patterns of Carbon Monoxide Distribution to Traffic Jam in East Jakarta." IOP Conference Series: Earth and Environmental Science 940, no. 1 (2021): 012010. http://dx.doi.org/10.1088/1755-1315/940/1/012010.

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Abstract The rapid growth of cities will certainly also increase traffic jams and emissions in the air. This study aims to analyze the increase in car volume and the CO distribution pattern in East Jakarta. Data for traffic jam patterns were recorded based on Google Maps on weekdays in the morning and evening. The spatial analysis method used to find the CO distribution pattern is the IDW interpolation, and the mathematical model calculates the moving emission based on the distance travelled (VKT). The spatial pattern of CO distribution in 2020 was scattered with high concentrations in Pasar R

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Kobayashi, Hisato, and Katsuhiko Inagaki. "Automatic Operation of a Mobile Robot Using an RCE Network." Journal of Robotics and Mechatronics 2, no. 4 (1990): 303–7. http://dx.doi.org/10.20965/jrm.1990.p0303.

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This article describes an example using a neural net as a method of mobile robot operation. The method eliminates the need for characteristic equations of a mobile robot, but requires an exercise to some extent using adequate ""patterns."" For accumulating experience of this practice, an RCE (restricted coulomb energy) network, or a pattern recognition-use neural network, is used. A simulation is conducted by driving a car into a garage. A man drives a car into a garage to create pattern data, which an RCE net is made to learn. After learning to some extent, it is allowed to put a car into a g

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Dr., J. Vivekavardhan, and Rajeshwar D. "Use Of Mobile Apps By The Engineering College Faculty And Students In Hyderabad: Telangana." International Journal of Advance and Applied Research 10, no. 3 (2023): 404 to 414. https://doi.org/10.5281/zenodo.7714425.

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<em>The study provides an insight on use of mobile apps by the Engineering College Faculty and Students in Hyderabad. The Purpose of the study was to investigate use and usage pattern of smart phones among Engineering College Faculty and Students. This study contributes to the body of knowledge by providing rich understanding of Technological Development of Mobile Generations smart phone usage which has been insufficiently described in the previous similar studies.  </em> <em>The study reveals that majority of the respondents74% (167) out of 225 respondent’s access Mobile Apps for m

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Jo, Hang-Hyun, Márton Karsai, János Kertész, and Kimmo Kaski. "Circadian pattern and burstiness in mobile phone communication." New Journal of Physics 14, no. 1 (2012): 013055. http://dx.doi.org/10.1088/1367-2630/14/1/013055.

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Wu, Chao, Bin Xu, ShanShan Shi, and Bin Zhao. "Time-activity pattern observatory from mobile web logs." International Journal of Embedded Systems 7, no. 1 (2015): 71. http://dx.doi.org/10.1504/ijes.2015.066144.

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Nielsen, J. O., and G. F. Pedersen. "Mobile handset performance evaluation using radiation pattern measurements." IEEE Transactions on Antennas and Propagation 54, no. 7 (2006): 2154–65. http://dx.doi.org/10.1109/tap.2006.877156.

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Advani, Uma, Neha Sharma, Lokendra Sharma, Monika Jain, Kopal Sharma, and AnandMohan Dixit. "Pattern of mobile phone usage among medical students." International Journal of Academic Medicine 5, no. 2 (2019): 118. http://dx.doi.org/10.4103/ijam.ijam_61_18.

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Chi, Li, and Jih-Gau Juang. "Pattern Feature Matching for Mobile Robot Indoor Service." Sensors and Materials 32, no. 6 (2020): 2199. http://dx.doi.org/10.18494/sam.2020.2833.

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Modak, Vishal D., David D. Langan, and Thomas F. Hain. "A pattern-based development tool for mobile agents." ACM SIGCSE Bulletin 37, no. 1 (2005): 72–75. http://dx.doi.org/10.1145/1047124.1047382.

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