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Journal articles on the topic 'Location-based strategy'

Author: Grafiati

Published: 4 June 2021

Last updated: 19 February 2022

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1

Luo, Meiling, Gang Li, and Xudong Chen. "Competitive location-based mobile coupon targeting strategy." Journal of Retailing and Consumer Services 58 (January 2021): 102313. http://dx.doi.org/10.1016/j.jretconser.2020.102313.

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Wang, Peng, Jing Yang, and Jianpei Zhang. "A Strategy of Cluster-Based Distributed Location Service." Mobile Information Systems 2019 (May 2, 2019): 1–13. http://dx.doi.org/10.1155/2019/2739104.

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A new strategy of cluster-based distributed location service was proposed to solve communication bottlenecks and vulnerability in centralized system structure location service. In the proposed strategy, the density-first clustering method was used to establish location information profiles for users, and neighboring user groups satisfied the (k, d) anonymous model. When there is a location service request, a number of neighbor user groups that meet the density metric condition were determined firstly, then the location profile similarity of a service requester and the neighbor user was calculated, and finally the collaborative filtering recommendation method was used to recommend the corresponding location service. The experimental results on the location dataset show that the proposed strategy can provide users with a sufficient number of location services and the (k, d) privacy security definition can guarantee the privacy of user location information.

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Lohtander, Mika, Antti Aholainen, Jarno Volotinen, Merja Peltokoski, and Juho Ratava. "Location Independent Manufacturing – Case-based Blue Ocean Strategy." Procedia Manufacturing 11 (2017): 2034–41. http://dx.doi.org/10.1016/j.promfg.2017.07.355.

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4

Pollini, G. P., and Chih-Lin I. "A profile-based location strategy and its performance." IEEE Journal on Selected Areas in Communications 15, no. 8 (1997): 1415–24. http://dx.doi.org/10.1109/49.634782.

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Yang, Wei-dong, Yun-hua He, Li-min Sun, Xiang Lu, and Xinghua Li. "An optimal query strategy for protecting location privacy in location-based services." Peer-to-Peer Networking and Applications 9, no. 4 (2015): 752–61. http://dx.doi.org/10.1007/s12083-015-0328-0.

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Zhu, Zhang, Guo Qing, and Meng Fanyu. "A Location Management Strategy Based on Dual Location Areas in LEO Satellite Network." Information Technology Journal 10, no. 4 (2011): 894–98. http://dx.doi.org/10.3923/itj.2011.894.898.

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Popat, Dr Kalpesh. "Dynamic Time Based Location Update Strategy in Cellular Networks." International Journal for Research in Applied Science and Engineering Technology 6, no. 1 (2018): 278–86. http://dx.doi.org/10.22214/ijraset.2018.1043.

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8

Zhang, Yu Quan, and Yan Wang. "A Secure Strategy for Location-Based Wireless Sensor Networks." Advanced Materials Research 631-632 (January 2013): 1409–15. http://dx.doi.org/10.4028/www.scientific.net/amr.631-632.1409.

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A Secure Strategy for Location-Based Wireless Sensor N A cluster-based secure strategy for wireless sensor networks is proposed. The two-dimension sensing area comprises a number of clusters, each of which contains four small squares called cells. The WSNs structure is a two-layer structure. The upper layer consists of all cluster heads and the lower layer consists of all ordinary sensors managed by their cluster heads. The cluster heads establish their pairwise keys through utilizing a key pre-distribution scheme based on cluster head identifications and the ordinary sensors establish their pairwise keys through employing a dynamic key management strategy based on exclusion-based systems (EBSs). Analysis and comparison show this scheme enhances the WSNs security, decreases WSNs communication consumption, saves cluster head and sensor energy expenditure, and prolongs the lifetime of both cluster heads and ordinary sensors.etworks

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Gao, Qiuling, Zijie Li, and Xinli Huang. "How EMNEs choose location for strategic asset seeking in internationalization?" Chinese Management Studies 13, no. 3 (2019): 687–705. http://dx.doi.org/10.1108/cms-06-2018-0573.

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Purpose Based on the strategy tripod perspective, this study aims to address how emerging economy multinational enterprises (EMNEs) make a strategic decision of choosing a foreign location for their strategic asset seeking and under what mechanism EMNEs make foreign direct investment (FDI) location choice. Design/methodology/approach This paper first reviews the literature on strategy tripod and strategic asset seeking strategy of EMNEs. Then, six cases of Chinese multinational enterprises operating in manufacturing industry have been introduced, emphasizing on interactions within three dimensions of strategy tripod framework, namely, resource-based dimension, industry-based dimension and institution-based dimension. By triangulating with multiple sources of archival and interview data, this paper identified a conceptual model presenting location choice mechanisms. Findings Based on a comparative multi-case study, four mechanisms of EMNEs’ location choice when seek strategic asset by FDI within a strategy tripod framework have been revealed. Specifically, EMNEs make their strategic decision of choosing a foreign location for their strategic asset seeking under mechanisms of seeking complementary resources based on industry characteristics; echoing with institutional dimension of home country when exploitation of resource; matching institutional dimension of host country when consider industry fitness; and institutional leveraging combined with understanding of resource and industry dimensions inside strategy tripod. Originality/value The findings shed novel insights into the mechanisms under which EMNEs choose their location for strategic asset-seeking FDI. It also broadens the strategy tripod framework by looking deeper into the characteristics of each dimension within a new research context of EMNEs’ FDI location choice.

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Luo, Huiwen, Haoming Zhang, Shigong Long, and Yi Lin. "Enhancing frequent location privacy-preserving strategy based on geo-Indistinguishability." Multimedia Tools and Applications 80, no. 14 (2021): 21823–41. http://dx.doi.org/10.1007/s11042-021-10789-0.

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Ko, Yun-Seok. "The FRTU-Based Intelligent Fault Location Determination Strategy in Ubiquitous Based Distribution Systems." Journal of Electrical Engineering and Technology 3, no. 2 (2008): 192–98. http://dx.doi.org/10.5370/jeet.2008.3.2.192.

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12

Suarsa, Senny Handayani. "LOCATION-BASED ADVERTISING: INTRUSIVENESS AND IRRITATION." Jurnal Bisnis dan Manajemen 21, no. 2 (2020): 88–99. http://dx.doi.org/10.24198/jbm.v21i2.348.

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Location-based Advertising (LBA) is a marketing strategy using cellular devices such as smartphones to offer products to potential customers at the nearest sales or service location. Intrusiveness and irritation are disorders that appear in the LBA. The conceptual framework of the research is built on the Advertising Avoidance Theory. Data collection was carried out with a self-administered survey involving 356 Politeknik Pos Indonesia students. The results showed that Intrusiveness and Irritation had a positive and significant effect on consumer attitudes toward LBA messages. Meanwhile, Intrusiveness has a negative and significant impact on consumer purchase intention, while irritation has a positive and significant impact on purchase intention. The more positive consumer attitudes towards LBA, the more positive the consumer's intention to buy.

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Siahaan, Elisabet, Khaira Amalia Fachrudin, Magdalena Linda Leonita Sibarani, and Iskandar Muda. "Evaluating customer perceived value of housing based on location factor and economic value." Problems and Perspectives in Management 17, no. 3 (2019): 196–206. http://dx.doi.org/10.21511/ppm.17(3).2019.16.

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This study seeks to evaluate customer perceived value in housing in order to increase the construction of housing value from the consumer’s point of view. A total of 240 houseowners in the middle to upper housings in Medan city, Indonesia, participated in this study. The data analysis used in this study is the Partial Least Square (PLS) approach. The results indicate that the perception of consumer value is strongly influenced by the economic value of the housing and the location function of the housing. Housing offered should be able to meet the needs of consumers and has the good mobility and accessibility. The emphasis that needs to be put in encouraging the perception of consumer value is the ability of the product in general, namely housing units in answering the needs of consumers.

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Han, Meng, Jinbao Wang, Mingyuan Yan, Chuyu Ai, Zhuojun Duan, and Zhen Hong. "Near-Complete Privacy Protection: Cognitive Optimal Strategy in Location-Based Services." Procedia Computer Science 129 (2018): 298–304. http://dx.doi.org/10.1016/j.procs.2018.03.079.

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Liu, Hongchao, Wei-Hua Lin, and Chin-woo Tan. "Operational Strategy for Advanced Vehicle Location System–Based Transit Signal Priority." Journal of Transportation Engineering 133, no. 9 (2007): 513–22. http://dx.doi.org/10.1061/(asce)0733-947x(2007)133:9(513).

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Xu, Yidong, Lili Guo, Wenjing Shang, and Yingsong Li. "Underwater Electro-Location Method Based on Improved Matrix Adaptation Evolution Strategy." IEEE Access 6 (2018): 39220–32. http://dx.doi.org/10.1109/access.2018.2855965.

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He, Ming, Yujie Zhang, and Xiangwu Meng. "Gossip-Based Resource Location Strategy in Interest Community for P2P Networks." Chinese Journal of Electronics 24, no. 2 (2015): 272–80. http://dx.doi.org/10.1049/cje.2015.04.008.

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Huang, Chao, Liang-Guo Dong, Yu-Zhu Liu, and Ji-Zhong Yang. "Waveform-based source location method using a source parameter isolation strategy." GEOPHYSICS 82, no. 5 (2017): KS85—KS97. http://dx.doi.org/10.1190/geo2017-0062.1.

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We have developed a novel acoustic-wave-equation-based full-waveform source location method to locate microseismic events. With the acoustic-wave equation and source signature independent inversion strategy, source location parameters (hypocenter locations) can be isolated from others and can then be retrieved independently and accurately, even when the origin time and source signature are not correct. Based on the acoustic-wave equation, new Fréchet derivatives of seismic waveforms with respect to the location parameters are derived to better accelerate the inversion process. To ease the cycle-skipping problem, a correlation is applied to select the best starting source positions. Some 2D and 3D numerical examples are presented to demonstrate the validity of our method. Compared with the waveform-based grid-search method, our method is effective in isolating the hypocenter locations from the source signature and origin time. The computational cost is nearly negligible compared with the waveform-based grid-search method. The robustness of our method is also tested for cases with inaccurate velocity models or using microseismic data with a signal-to-noise ratio of ≥[Formula: see text]. Finally, field data are used to indicate the practical applicability of our method.

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Li, Ling-Ling, Yan-Fang Yang, Ching-Hsin Wang, and Kuo-Ping Lin. "Biogeography-based optimization based on population competition strategy for solving the substation location problem." Expert Systems with Applications 97 (May 2018): 290–302. http://dx.doi.org/10.1016/j.eswa.2017.12.039.

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20

Zheng, Zheng Jian. "A Wormhole Attack Defense Strategy of WSN Based on Node Location Information." Advanced Materials Research 268-270 (July 2011): 1055–60. http://dx.doi.org/10.4028/www.scientific.net/amr.268-270.1055.

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Wormhole attack is a kind of attack manner in WSN that does not need to crack network encryption key, which has great harm. Aiming at the characteristics of Wormhole attack, a wormhole attack defense strategy based on node location information was presented. The manner computed physical distance between two nodes through extraction of location information in the packets and compared it with stored threshold, so as to determine whether these packets come from normal communication range. WSN network modeling and simulation results based on OMNeT++ indicates that AODV protocol of defense strategy added sensor node location information can implement successfully defense.

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Shokoohyar, Sina, Ahmad Sobhani, and Anae Sobhani. "Determinants of rental strategy: short-term vs long-term rental strategy." International Journal of Contemporary Hospitality Management 13, no. 12 (2020): 3873–94. http://dx.doi.org/10.1108/ijchm-03-2020-0185.

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Purpose Short-term rental option enabled via accommodation sharing platforms is an attractive alternative to conventional long-term rental. The purpose of this study is to compare rental strategies (short-term vs long-term) and explore the main determinants for strategy selection. Design/methodology/approach Using logistic regression, this study predicts the rental strategy with the highest rate of return for a given property in the City of Philadelphia. The modeling result is then compared with the applied machine learning methods, including random forest, k-nearest neighbor, support vector machine, naïve Bayes and neural networks. The best model is finally selected based on different performance metrics that determine the prediction strength of underlying models. Findings By analyzing 2,163 properties, the results show that properties with more bedrooms, closer to the historic attractions, in neighborhoods with lower minority rates and higher nightlife vibe are more likely to have a higher return if they are rented out through short-term rental contract. Additionally, the property location is found out to have a significant impact on the selection of the rental strategy, which emphasizes the widely known term of “location, location, location” in the real estate market. Originality/value The findings of this study contribute to the literature by determining the neighborhood and property characteristics that make a property more suitable for the short-term rental vs the long-term one. This contribution is extremely important as it facilitates differentiating the short-term rentals from the long-term rentals and would help better understanding the supply-side in the sharing economy-based accommodation market.

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Kaddah, Sahar Sidqi, Magdy Mohamed El-Saadawi, Mohamed Adel Mohamed El-Sayes, and A. Talaat. "Harmonic Based Strategy for Location and Sizing of Distributed Generation Insertion (Dept.E)." MEJ. Mansoura Engineering Journal 34, no. 2 (2020): 35–46. http://dx.doi.org/10.21608/bfemu.2020.125996.

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SONG, Mei, Rui-jun FENG, Jian-wen HUANG, and Jun-de SONG. "A distributed location management strategy for next-generation IP-based wireless networks." Journal of China Universities of Posts and Telecommunications 13, no. 3 (2006): 38–42. http://dx.doi.org/10.1016/s1005-8885(07)60009-0.

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Zangmeister, T., Th Sonar, and M. Heßling. "A wavelet-based location referencing strategy for digital maps in navigation systems." ZAMM 87, no. 4 (2007): 322–30. http://dx.doi.org/10.1002/zamm.200610318.

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Chen, Xuerui, Yanzhu Hu, Xinbo Ai, and Yanchao Shao. "Research on Location Strategy of Mobile Anchor Node Based on Virtual Force." IOP Conference Series: Materials Science and Engineering 612 (October 19, 2019): 052018. http://dx.doi.org/10.1088/1757-899x/612/5/052018.

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Tsai, I.-Fei, and Rong-Hong Jan. "The lookahead strategy for distance-based location tracking in wireless cellular networks." ACM SIGMOBILE Mobile Computing and Communications Review 3, no. 4 (1999): 27–38. http://dx.doi.org/10.1145/584039.584046.

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Zhou, Li, Lili Sun, Zhaochan Li, Weipeng Li, Ning Cao, and Russell Higgs. "Study on a storage location strategy based on clustering and association algorithms." Soft Computing 24, no. 8 (2018): 5499–516. http://dx.doi.org/10.1007/s00500-018-03702-9.

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Dong, Yuanyuan, Caihong Gong, Zhenyu Zhang, Xiyuan Wang, Keping Long, and Xiaoming Dai. "Low-Complexity EP Receiver Based on Location-Aware and Reliability-Aware Strategy." IEEE Communications Letters 25, no. 6 (2021): 2034–38. http://dx.doi.org/10.1109/lcomm.2021.3063487.

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Clark, G. L. "Location, Management Strategy, and Workers' Pensions." Environment and Planning A: Economy and Space 22, no. 1 (1990): 17–37. http://dx.doi.org/10.1068/a220017.

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This paper focuses upon the relationships between management strategy, location decisionmaking, and private pension liabilities. Analysis is based upon a recent suit in federal court brought by past employees of Continental Can Corporation against the corporation, alleging that it had deliberately relocated and restructured production at its Pittsburgh plant so as to illegally avoid early-retirement pension obligations. In narrative form I set out the essential details of the case and document in detail how the corporation reallocated production by plant location and the age and seniority of workers. It is suggested that this kind of locational-restructuring strategy is more common than often supposed and it is argued that corporations' pension obligations have fundamental, but little understood, implications for the process of restructuring American industry.

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Li, Hong, Xiao Yu Liu, Jin Ping Zhang, and Ya Long Yu. "Research on Logistics Distribution Center Location Based on Improved Immune Algorithm." Advanced Materials Research 756-759 (September 2013): 1366–70. http://dx.doi.org/10.4028/www.scientific.net/amr.756-759.1366.

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Logistics center is a mordern logistic facility. The distribution center location determines the operational efficiency of logistics system. The optimum location of distribution center is important to transportation. In order to improved the algorithm's efficiency, elite strategy was introduced based on the standard immune algorithm. The improved algorithm avoid trapping into local optimal solution and solving the problem more slowly. The role of the elite strategy is to make the optimal solution attractively in the next cycle. This method sovles problem both quantitatively and qualitatively, which makes final solution better in accordance with practical demands.

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Khazaei and Alimohammadi. "Context-Aware Group-Oriented Location Recommendation in Location-Based Social Networks." ISPRS International Journal of Geo-Information 8, no. 9 (2019): 406. http://dx.doi.org/10.3390/ijgi8090406.

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Location-based social networking services have attracted great interest with the growth of smart mobile devices. Recommending locations for users based on their preferences is an important task for location-based social networks (LBSNs). Since human beings are social by nature, group activities are important in individuals’ lives. Due to the different interests and priorities of individuals, it is difficult to find places that are ideal for all members of a group. In this study, a context-aware group-oriented location recommendation system is proposed based on a random walk algorithm. The proposed approach considers three different contexts, namely users’ contexts (i.e., social relationships, personal preferences), location context (i.e., category, popularity, capacity, and spatial proximity), and environmental context (i.e., weather, day of the week). Three graph models of LBSNs are constructed to perform a random walk with restart (RWR) algorithm in which a user-location graph is considered as the basis. In addition, two group recommendation strategies are used. One is an aggregated prediction strategy, and the other is derived from extending the RWR to the group. After performing the RWR algorithm, the group profile and location popularity are used to improve the effectiveness of the recommendation. The performance of the proposed system is examined using the Gowalla dataset related to the city of London from March 2009 to July 2011. The results indicate that the RWR algorithm outperforms popularity-based, collaborative filtering and content-based filtering. In addition, using the group profile and location popularity significantly improves the accuracy of recommendation. On the user-location graph, the number of users with recommendations matching the test data increases by 1.18 times, while the precision of creating relevant recommendations is increased by 3.4 times.

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Yang, Xiao Man, and Xiao Yu Li. "Research on Data Preprocessing Technology in Location Based Service." Advanced Materials Research 740 (August 2013): 134–39. http://dx.doi.org/10.4028/www.scientific.net/amr.740.134.

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In Location Based Services, some queries from mobile clients to databases on server can be transformed into queries from mobile clients to theirs local databases by data preprocessing and sending ahead so as to reduce the time wasted on waiting. At the same time the strategy of intelligent learning is used to improve the hit rate for service information which makes our service more suitable to users requirements. The experiments show that the technology of data preprocessing can improve the query efficiency and reduce the dependence on instability of wireless network with less data errors and data resending.

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Zhou, Hong Cheng, and Zhi Peng Jiang. "Control Strategy Used on UAV Motion System." Advanced Materials Research 1028 (September 2014): 186–90. http://dx.doi.org/10.4028/www.scientific.net/amr.1028.186.

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The servo control methods of 6-DOF motion configuration are researched. Based on analysis for characteristic of the motion configuration, the control strategy and control law used on the motion control system are presented. The controller in velocity tracking loop and location loop are respectively designed by frequency correcting method and normal control method which belongs to classical control theory. Sliding mode variable structure control method is presented for location control law designing, against the super low velocity creep caused by friction disturbance, so that the problem of location control loop low velocity creeping is solved, and a simulating experimentation demonstrate the effectiveness of the proposed approach.

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HE, Yan-Xiang, and Hua SHEN. "A Stochastic Petri Net-Based Performance Bottleneck Location Strategy for Web Services Composition." Chinese Journal of Computers 36, no. 10 (2014): 1953–66. http://dx.doi.org/10.3724/sp.j.1016.2013.01953.

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Dhar, Snehamoy, R. K. Patnaik, and P. K. Dash. "Fault Detection and Location of Photovoltaic Based DC Microgrid Using Differential Protection Strategy." IEEE Transactions on Smart Grid 9, no. 5 (2018): 4303–12. http://dx.doi.org/10.1109/tsg.2017.2654267.

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Liu, Fangzhou, Hao Zhu, and Xianghong Cheng. "Vespa Mandarinia Recognition and Prediction Strategy Based on Geographic Location and Image Recognition." IOP Conference Series: Earth and Environmental Science 769, no. 3 (2021): 032063. http://dx.doi.org/10.1088/1755-1315/769/3/032063.

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Zheng, Lijuan, Linhao Zhang, Meng Cui, et al. "The Research of Mobile Location Privacy Protection Access Control Method Based on Game Theory." Wireless Communications and Mobile Computing 2018 (December 12, 2018): 1–9. http://dx.doi.org/10.1155/2018/1847890.

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In recent years, the Internet of things has developed rapidly. And the location-based service (LBS) is becoming more and more extensive. Service providers hold a large number of users’ information. In order to improve the quality of service, service providers increasingly use big data technology to provide more accurate services for users. At the same time, it aggravates the information disclosure of users’ privacy. From the perspective of the service provider, a mobile location privacy access control method based on game theory is proposed to solve the access control problem of mobile location privacy information. Firstly, the weight coefficient is set according to the location privacy influence factors, and then the access control threshold is calculated according to the privacy location leakage situation of the mobile location. Different visitor levels are set according to the threshold. In the process of access control, the prejudgement of the access behaviour is performed, and then the privacy information amount of the information requested for access is calculated according to the weights of the different information. Compare the result with the threshold and get the access control strategy. The strategy set is selected based on strategy matrix of game theory and thresholds are adjusted based on the calculation returns of strategy matrix. The effectiveness and practicability of the method are verified through the security analysis.

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Schade, Michael, Rico Piehler, Claudius Warwitz, and Christoph Burmann. "Increasing consumers’ intention to use location-based advertising." Journal of Product & Brand Management 27, no. 6 (2018): 661–69. http://dx.doi.org/10.1108/jpbm-06-2017-1498.

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Purpose This study aims to investigate the influence of advertising value and privacy concerns on consumers’ intention to use location-based advertising. It also explores if brand trust toward location-based advertising providers and consumers’ privacy self-efficacy reduce privacy concerns. Design/methodology/approach Based on the privacy calculus and expectancy theory, a conceptual model is developed and empirically tested through structural equation modeling using cross-sectional data of 1,121 actual smartphone users from Germany. Findings Advertising value positively and privacy concerns negatively affect consumers’ intention to use location-based advertising. As expected, brand trust and consumers’ privacy self-efficacy can reduce consumers’ privacy concerns. Research limitations/implications Further research should test and validate the proposed framework in other cultures to gain insights into the culturally specific relevance of privacy concerns and their antecedents. The current study includes sociodemographics as potential moderators; additional studies could investigate other potential moderators (e.g. personality, values). Practical implications To reduce consumers’ privacy concerns, location-based advertising providers should make their offers transparent and give consumers control, to increase their privacy self-efficacy. They also should work to strengthen their brand, monitor brand trust trends and avoid any trust-damaging behavior. Originality/value This study introduces brand trust toward location-based advertising providers and privacy self-efficacy as factors to reduce consumers’ privacy concerns. It also encompasses a broader, general sample of consumers, which increases the generalizability and practical relevance of the results and supports an initial investigation of sociodemographic factors as potential moderators in this context.

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Wang, Rui, Yicong Qin, and Hui Sun. "Research on Location Selection Strategy for Airlines Spare Parts Central Warehouse Based on METRIC." Computational Intelligence and Neuroscience 2021 (August 18, 2021): 1–16. http://dx.doi.org/10.1155/2021/4737700.

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With the increased demands of airlines, it is important to study the location selection strategy for spare parts central warehouse in order to improve the allocation capacity of spare parts maintenance resources and reduce the operating costs of airlines. Based on the M/M/s/∞/∞ multiservice desk model and Multi-Echelon Technique for Recoverable Item Control (METRIC) theory, this paper proposes a spare parts supply strategy based on the spare parts pool network and establishes a location selection model for spare parts central warehouse. The particle swarm optimization (PSO) algorithm is used to iteratively optimize the location for spare parts central warehouse and adjust the location area of the central warehouse combining transportation facilities and geographical environment factors. Finally, the paper compares the operating results for multiple airlines in pooling and off-pooling states and verifies the effectiveness of the spare parts supply model and the advantages of cost control for airlines.

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Zhao, Peixin, Bo Liu, Lulu Xu, and Di Wan. "Location Optimization of Multidistribution Centers Based on Low-Carbon Constraints." Discrete Dynamics in Nature and Society 2013 (2013): 1–6. http://dx.doi.org/10.1155/2013/427691.

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Location optimization of distribution centers is a systematic and important task in logistics operations. Recently, reducing carbon footprint is becoming one of the decision-making factors in selecting the locations for distribution centers. This paper analyzes the necessity of industrial carbon dioxide emission cost internalization in four aspects and builds a model for multidistribution centers location in effort of reducing carbon footprint that can provide optimized strategy support for decision makers and logistic operators. Numerical examples are presented to illustrate the feasibility and effectiveness of the models.

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Chen, Yi-Chung, Hsi-Ho Huang, Sheng-Min Chiu, and Chiang Lee. "Joint Promotion Partner Recommendation Systems Using Data from Location-Based Social Networks." ISPRS International Journal of Geo-Information 10, no. 2 (2021): 57. http://dx.doi.org/10.3390/ijgi10020057.

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Joint promotion is a valuable business strategy that enables companies to attract more customers at lower operational cost. However, finding a suitable partner can be extremely difficult. Conventionally, one of the most common approaches is to conduct survey-based analysis; however, this method can be unreliable as well as time-consuming, considering that there are likely to be thousands of potential partners in a city. This article proposes a framework to recommend Joint Promotion Partners using location-based social networks (LBSN) data. We considered six factors in determining the suitability of a partner (customer base, association, rating and awareness, prices and star ratings, distance, and promotional strategy) and developed efficient algorithms to perform the required calculations. The effectiveness and efficiency of our algorithms were verified using the Foursquare dataset and real-life case studies.

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Luo, Xin-long, Wei Li, and Jia-ru Lin. "Geometric Location Based on TDOA for Wireless Sensor Networks." ISRN Applied Mathematics 2012 (January 11, 2012): 1–10. http://dx.doi.org/10.5402/2012/710979.

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Wireless sensor networks (WSNs) consist of a large number of low-cost miniature sensors, which can be applied to battlefield surveillance, environmental monitoring, target tracking, and other applications related to the positions of sensors. The location information of sensors is of great importance for wireless sensor networks. In this paper, we propose a new localization algorithm for the wireless sensor network based on time difference of arrival (TDOA), which is a typical algorithm in the wireless localization field. In order to improve the localization accuracy of a sensor, a new strategy is proposed for a localized sensor being upgraded to an anchor node, which is used to localize the position of the next sensor. Performance analysis and simulation results show that the revised TODA localization algorithm has the higher localization accuracy when compared with the original TDOA location method.

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Taghiakbari, M., H. Pohl, R. Djinbachian, et al. "A119 THE LOCATION-BASED RESECT AND DISCARD STRATEGY FOR DIMINUTIVE COLORECTAL POLYPS: A PROSPECTIVE CLINICAL STUDY." Journal of the Canadian Association of Gastroenterology 4, Supplement_1 (2021): 99–101. http://dx.doi.org/10.1093/jcag/gwab002.117.

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Abstract Background Replacing histopathology evaluation of diminutive polyps with optical polyp diagnosis is considered a cost-effective approach. However, the widespread use of optical diagnosis is limited due to concerns about making incorrect optical diagnoses and the requirements of training, credentialing and auditing of performance. Aims This prospective study aimed to evaluate a simplified resect and discard strategy that is not operator dependent. Methods The study evaluated a resect and discard strategy that uses anatomical polyp location to classify colon polyps into non-neoplastic or low-risk neoplastic. All rectosigmoid diminutive polyps were considered hyperplastic and all polyps located proximally to the sigmoid colon were considered neoplastic. Surveillance interval assignments based on these a priori assumptions were compared with those based on actual pathology results and optical diagnosis, respectively. The primary outcome was ≥90% agreement with pathology in surveillance interval assignment. Results Overall, 1117 patients undergoing complete colonoscopy were included and 482 (43.1%) had at least one diminutive polyp. Surveillance interval agreement between the location-based resect and discard strategy and pathological findings using the 2020 US Multi-Society Task Force guideline was 97.0% (95% CI = 0.96 - 0.98), surpassing the ≥90% benchmark. Optical diagnoses using NICE and Sano classifications reached 89.1% and 90.01% agreement, respectively (p &lt;0.0001), and were inferior to the location-based strategy. The location-based resect and discard strategy allowed a 69.7% (95% CI = 0.67 - 0.72) reduction in pathology examinations compared with 55.3% (95% CI = 0.52 - 0.58) (NICE and Sano) and 41.9% (95% CI = 0.39 - 0.45) (WASP) with optical diagnosis. Conclusions The location-based resect and discard strategy achieved very high surveillance interval agreement with pathology-based surveillance interval assignment, surpassing the ≥90% quality benchmark and outperforming optical diagnosis in surveillance interval agreement and the number of pathology examinations avoided. Funding Agencies None

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Hang-Wen Hwang, Ming-Feng Chang, and Chien-Chao Tseng. "A direction-based location update scheme with a line-paging strategy for PCS networks." IEEE Communications Letters 4, no. 5 (2000): 149–51. http://dx.doi.org/10.1109/4234.846494.

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Chunlin, Li, Zhu Liye, and Luo Youlong. "Location-aware interest-related micro-cloud topology construction and bacteria foraging-based offloading strategy." Ad Hoc Networks 64 (September 2017): 1–21. http://dx.doi.org/10.1016/j.adhoc.2017.06.002.

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Sharma, Priyanka, PK Gaur, and Lal Pratap Verma. "A New Approach of Location Based Routing in MANETs." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 8, no. 1 (2013): 692–97. http://dx.doi.org/10.24297/ijct.v8i1.3428.

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The highly dynamic nature of MANETs results in frequent and unpredictable changes in the network topology, which add to the difficulty and complexity to routing among the mobile nodes within the network. Thus, establishing communication among mobile nodes is a great challenge in itself, resulting in network overloading & discarding of data packets. Nodes can change position quite frequently, which means we need a routing protocol that quickly adapts to the topology changes which is our objective. Â In this paper focus has been put on the strategy to address the packet drop ratio which is an integral and important factor of communication in MANETs by minimizing the request zone. In Mobile Ad-Hoc Networks, as the coverage area increases the packet drop ratio also increases which degrades the network performance and Quality of Service (QOS).Location Aware Routing Â will be used as a base protocol for the proposed work which is a class of Reactive protocol to design optimized routing algorithm.

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Lee, Kwang-Pyo, Hyun-Soo Lee, Moonseo Park, Hyunsoo Kim, and Sangwon Han. "A REAL-TIME LOCATION-BASED CONSTRUCTION LABOR SAFETY MANAGEMENT SYSTEM." JOURNAL OF CIVIL ENGINEERING AND MANAGEMENT 20, no. 5 (2014): 724–36. http://dx.doi.org/10.3846/13923730.2013.802728.

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The construction industry continues to record a high number of accidents compared to other industries. Furthermore, the ramifications of construction accidents are growing in terms of both economic loss and loss of life with trends toward larger-scale, more complex projects. For this reason, there is an increasing awareness of the importance of safety management in the construction industry, and the need for more effective safety management techniques. This paper introduces a real-time location-based construction labor safety management system that tracks and visualizes workers’ locations in real-time and sends early warnings to endangered workers. The system is developed by integrating: a real-time locating system (RTLS) for tracking of workers’ location; a location monitoring system for mapping the workers location on a computerized building model; and alarm technology for sending early warnings. The developed system has been applied to an apartment project and an RTLS technology test center in Korea, and proved to be effective in tracking and monitoring workers in real-time and preventing construction accidents. It is envisioned that the developed system will enable proactive construction safety management in South Korea and the methodologies developed in this study will be applicable to other contexts with minimal customization.

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Kandathil, Jom J., Robins Mathew, and Somashekhar S. Hiremath. "Modified bug-1 algorithm based strategy for obstacle avoidance in multi robot system." MATEC Web of Conferences 144 (2018): 01012. http://dx.doi.org/10.1051/matecconf/201814401012.

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One of the primary ability of an intelligent mobile robot system is obstacle avoidance. BUG algorithms are classic examples of the algorithms used for achieving obstacle avoidance. Unlike many other planning algorithms based on global knowledge, BUG algorithms assume only local knowledge of the environment and a global goal. Among the variations of the BUG algorithms that prevail, BUG-0, BUG-1 and BUG-2 are the more prominent versions. The exhaustive search algorithm present in BUG-1 makes it more reliable and safer for practical applications. Overall, this provides a more predictable and dependable performance. Hence, the essential focus in this paper is on implementing the BUG-1 algorithm across a group of robots to move them from a start location to a target location. The results are compared with the results from BUG-1 algorithm implemented on a single robot. The strategy developed in this work reduces the time involved in moving the robots from starting location to the target location. Further, the paper shows that the total distance covered by each robot in a multi robot-system is always lesser than or equal to that travelled by a single robot executing the same problem.

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Shieh, Chih-Hui, Yingzi Xu, and I.-Ling Ling. "How location-based advertising elicits in-store purchase." Journal of Services Marketing 33, no. 4 (2019): 380–95. http://dx.doi.org/10.1108/jsm-03-2018-0083.

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Purpose This paper aims to investigate how location-based advertising (LBA) elicits in-store purchase intention. To deepen the understanding of LBA’s effect on consumers’ purchase decision, the research examines the role of consumers’ time consciousness in click intention in pull or opt-out LBA approaches. The study also explores how consumers react to LBA with an asymmetric dominance decoy versus a compromise decoy message. Design/methodology/approach Two field experiments were conducted, and a total of 363 volunteers within 3 km of a shopping mall participated. The participants were asked to turn on their global positioning system and then informed that a convenience store was planning to launch a mobile coupon subscription service. Data collected were analysed using analysis of variance, regression analysis, bootstrapping and spotlight tests. Findings The results demonstrate that consumers had a higher intention to click pull LBA than to click opt-out push LBA. Consumers with high time-consciousness had greater click intentions for pull LBA than for opt-out push LBA. Consumers with low time-consciousness, however, showed no difference in click intention for either LBA approach. Further, click intention mediates the effect of LBA on in-store purchase intention, and the asymmetric dominance decoy message is a more powerful strategy for LBA to increase the likelihood of in-store purchase. Originality/value This research provides insight into location-based services marketing by revealing how time-consciousness and decoy promotional messages affect consumers’ reaction to LBA and in-store purchase intentions. The findings offer practical suggestions for retailers on how to reach and engage with consumers more effectively through the use of LBA.

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Li, Jie, Xingwei Wang, Jie Jia, Pengfei Wang, Yan Zhou, and Zhijie Zhao. "Location Prediction-Based Data Dissemination Using Swarm Intelligence in Opportunistic Cognitive Networks." Mathematical Problems in Engineering 2014 (2014): 1–15. http://dx.doi.org/10.1155/2014/453564.

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Swarm intelligence is widely used in the application of communication networks. In this paper we adopt a biologically inspired strategy to investigate the data dissemination problem in the opportunistic cognitive networks (OCNs). We model the system as a centralized and distributed hybrid system including a location prediction server and a pervasive environment deploying the large-scale human-centric devices. To exploit such environment, data gathering and dissemination are fundamentally based on the contact opportunities. To tackle the lack of contemporaneous end-to-end connectivity in opportunistic networks, we apply ant colony optimization as a cognitive heuristic technology to formulate a self-adaptive dissemination-based routing scheme in opportunistic cognitive networks. This routing strategy has attempted to find the most appropriate nodes conveying messages to the destination node based on the location prediction information and intimacy between nodes, which uses the online unsupervised learning on geographical locations and the biologically inspired algorithm on the relationship of nodes to estimate the delivery probability. Extensive simulation is carried out on the real-world traces to evaluate the accuracy of the location prediction and the proposed scheme in terms of transmission cost, delivery ratio, average hops, and delivery latency, which achieves better routing performances compared to the typical routing schemes in OCNs.

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