Готові списки джерел за темами / EMPLOYING LOCATION

Добірка наукової літератури з теми "EMPLOYING LOCATION"

Автор: Grafiati

Опубліковано: 11 вересня 2023

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Статті в журналах з теми "EMPLOYING LOCATION"

LEHMANN, M. S., T. E. ROBINSON, and S. W. WILKINS. "BRAGG-PEAK LOCATION EMPLOYING A MAXIMUM-ENTROPY FORMALISM." Le Journal de Physique Colloques 47, no. C5 (August 1986): C5–55—C5–62. http://dx.doi.org/10.1051/jphyscol:1986507.

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TAMBOURATZIS, TATIANA, and MYRSINI GAZELA. "THE ACCURATE ESTIMATION OF METEOROLOGICAL PROFILES EMPLOYING ANNs." International Journal of Neural Systems 12, no. 03n04 (June 2002): 319–37. http://dx.doi.org/10.1142/s0129065702001205.

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The lack of meteorological measurements at a location of interest (target location) constitutes a problem that is crucial for the purposes of both weather forecasting and energy system design/validation. This paper constitutes a pilot study for the accurate estimation of meteorological values at a target location employing the meteorological measurements collected at a nearby (reference) location. Artificial neural networks are investigated and compared with traditional estimation methods such as linear models of first and higher orders and the non-linear model. The significance of the improvement obtained via the estimation — and especially the artificial neural network approach — over simply considering the measurements at the reference location is demonstrated in a number of energy applications.

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Shafiullah, Md, M. Abido, and Taher Abdel-Fattah. "Distribution Grids Fault Location employing ST based Optimized Machine Learning Approach." Energies 11, no. 9 (September 4, 2018): 2328. http://dx.doi.org/10.3390/en11092328.

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Precise information of fault location plays a vital role in expediting the restoration process, after being subjected to any kind of fault in power distribution grids. This paper proposed the Stockwell transform (ST) based optimized machine learning approach, to locate the faults and to identify the faulty sections in the distribution grids. This research employed the ST to extract useful features from the recorded three-phase current signals and fetches them as inputs to different machine learning tools (MLT), including the multilayer perceptron neural networks (MLP-NN), support vector machines (SVM), and extreme learning machines (ELM). The proposed approach employed the constriction-factor particle swarm optimization (CF-PSO) technique, to optimize the parameters of the SVM and ELM for their better generalization performance. Hence, it compared the obtained results of the test datasets in terms of the selected statistical performance indices, including the root mean squared error (RMSE), mean absolute percentage error (MAPE), percent bias (PBIAS), RMSE-observations to standard deviation ratio (RSR), coefficient of determination (R2), Willmott’s index of agreement (WIA), and Nash–Sutcliffe model efficiency coefficient (NSEC) to confirm the effectiveness of the developed fault location scheme. The satisfactory values of the statistical performance indices, indicated the superiority of the optimized machine learning tools over the non-optimized tools in locating faults. In addition, this research confirmed the efficacy of the faulty section identification scheme based on overall accuracy. Furthermore, the presented results validated the robustness of the developed approach against the measurement noise and uncertainties associated with pre-fault loading condition, fault resistance, and inception angle.

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Bolat, Hür Bersam, İrem Otay, Gül Tekin Temur, and Şükrü İmre. "An Integrated Fuzzy Multi-Criteria Approach for E-Waste Collection Center Location Problem." International Journal of Fuzzy System Applications 10, no. 2 (April 2021): 21–38. http://dx.doi.org/10.4018/ijfsa.2021040102.

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Selection of locations for collecting end of life goods is a multi-dimensional problem. In this study, the objective is to propose a hybrid multi-criteria decision model for e-waste collection center location selection problem employing an integrated Pythagorean fuzzy AHP (analytical hierarchy process)-VIKOR (multi-criteria optimization and compromise solution) methodology. A case study from Turkish e-waste recycling industry is conducted in order to verify the success of the proposed methodology. Thirty-nine alternative collection center districts are evaluated and ranked by employing Pythagorean fuzzy VIKOR based on “cost, logistics, environment, socio-culture, and population” and 11 sub-criteria. The study involves 39 e-waste collection location centers, and the model was solved for 50 times for 10 scenarios for each criterion. The results of sensitivity analysis indicate that the evaluation of criteria and determination of their weights have critical effects on the results.

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Polak, Ladislav, Stanislav Rozum, Martin Slanina, Tomas Bravenec, Tomas Fryza, and Aggelos Pikrakis. "Received Signal Strength Fingerprinting-Based Indoor Location Estimation Employing Machine Learning." Sensors 21, no. 13 (July 5, 2021): 4605. http://dx.doi.org/10.3390/s21134605.

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The fingerprinting technique is a popular approach to reveal location of persons, instruments or devices in an indoor environment. Typically based on signal strength measurement, a power level map is created first in the learning phase to align with measured values in the inference. Second, the location is determined by taking the point for which the recorded received power level is closest to the power level actually measured. The biggest limit of this technique is the reliability of power measurements, which may lack accuracy in many wireless systems. To this end, this work extends the power level measurement by using multiple anchors and multiple radio channels and, consequently, considers different approaches to aligning the actual measurements with the recorded values. The dataset is available online. This article focuses on the very popular radio technology Bluetooth Low Energy to explore the possible improvement of the system accuracy through different machine learning approaches. It shows how the accuracy–complexity trade-off influences the possible candidate algorithms on an example of three-channel Bluetooth received signal strength based fingerprinting in a one dimensional environment with four static anchors and in a two dimensional environment with the same set of anchors. We provide a literature survey to identify the machine learning algorithms applied in the literature to show that the studies available can not be compared directly. Then, we implement and analyze the performance of four most popular supervised learning techniques, namely k Nearest Neighbors, Support Vector Machines, Random Forest, and Artificial Neural Network. In our scenario, the most promising machine learning technique being the Random Forest with classification accuracy over 99%.

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Iserliyska, Dida, Anna V. A. Resurreccion, P. Paraskova, M. S. Chinnan, M. Ruinova, and T. Petrova. "Consumer Acceptance of Bulgarian Peanut Butters Employing Central Location Testing (CLT)." Peanut Science 32, no. 2 (July 2005): 126–31. http://dx.doi.org/10.3146/0095-3679(2005)32[126:caobpb]2.0.co;2.

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Ahmadimanesh, A., and S. M. Shahrtash. "Transient-Based Fault-Location Method for Multiterminal Lines Employing S-Transform." IEEE Transactions on Power Delivery 28, no. 3 (July 2013): 1373–80. http://dx.doi.org/10.1109/tpwrd.2013.2248068.

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Nguyen, Cam Ly, and Usman Raza. "LEMOn: Wireless Localization for IoT Employing a Location-Unaware Mobile Unit." IEEE Access 7 (2019): 40488–502. http://dx.doi.org/10.1109/access.2019.2904731.

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Dashtdar, Majid, and Masoud Dashtdar. "Detecting the Fault Section in the Distribution Network with Distributed Generators Based on Optimal Placement of Smart Meters." Scientific Bulletin of Electrical Engineering Faculty 19, no. 2 (October 1, 2019): 28–34. http://dx.doi.org/10.1515/sbeef-2019-0017.

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AbstractOne of the most important issues in employing distribution networks is detecting the fault location in medium-voltage distribution feeders. Due to the vastness of distribution networks and growing distributed generation (DG) sources in this network, detection is difficult with the common methods. The aim of this paper is to present a method based on voltage distributed meters in a medium-voltage distribution network (by smart meters installed along the feeder) in order to detect the fault location in the presence of DG sources. Due to vastness of distribution network and cost of installing smart meters, it is not economically possible to install meters in all the Buses of the network. That’s why in this article, combination of genetic and locating algorithms and fault-based on voltage drop has been used to suggest a method to optimize the meter locations. In order to evaluate the efficiency of the method suggested, first we determine the optimal number and location of the meters and then we apply the fault that has been simulated in different Buses of the sample network, using PSCAD/EMTDC software. After results analysis, the fault location is estimated by MATLAB. Simulation results show that the fault locating method by optimal number of meters has good efficiency and accuracy in detecting faults in different spots and in different resistance ranges.

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BEN-ARIE, JEZEKIEL, and ZHIQIAN WANG. "SHAPE DESCRIPTION AND INVARIANT RECOGNITION EMPLOYING CONNECTIONIST APPROACH." International Journal of Pattern Recognition and Artificial Intelligence 16, no. 01 (February 2002): 69–83. http://dx.doi.org/10.1142/s0218001402001514.

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This paper presents a new approach for shape description and invariant recognition by geometric-normalization implemented by neural networks. The neural system consists of a shape description network, a normalization network and a recognition stage based on fuzzy pyramidal neural networks. The description network uses a novel approach for hierarchical shape segmentation and representation which expands the image shapes into localized feature tokens. These feature tokens form a compact description of the shape and its components that include information on their location, size and orientation. The description network, which is composed of a novel pyramidal architecture called the Vectorial Gradual Lattice Pyramid, processes in parallel a new vectorial scale space representation of the shape. A novel measure called Cancellation Energy is used to determine the feature tokens. The normalization network utilizes the location, size and orientation information in the feature tokens to geometric-normalize the shape or its components with respect to these parameters. The recognition network which has a pyramidal structure, uses a fuzzy representation of these normalized feature tokens to achieve robust invariant recognition. Experimental results demonstrate robust recognition in large variations of scale, rotation, translation and also in moderate affine transformations and partial occlusion.

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Дисертації з теми "EMPLOYING LOCATION"

BHARDWAJ, ASHISH. "COMPARISON OF VARIOUS RECOMMENDATION TECHNIQUES EMPLOYING LOCATION BASED SERVICES FOR E-COMMERCE WEBSITE." Thesis, 2022. http://dspace.dtu.ac.in:8080/jspui/handle/repository/19478.

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As data has grown tremendously over the last few decades, the management of data also follows its footsteps and created the ocean of opportunities for researchers to come up with best data management techniques. One aspect of data management that is widely used now-a-days is in the E-Commerce industry to showcase the relevant items to the users and predict which items the user will be most interested in. This hurdle Race allows the data scientist/Machine learning Engineers/Data Engineers and even Geo Data Scientist to give the user the best experience once he visits the website for online shopping. In other words, every website tries to showcase the limited products that the user might be most interested in rather than displaying all its trillion items and destroying the customer experience as he will get irated in searching for his product of interest. So the website should carefully design its recommended products palette as it can destroy as well as build the customer’s experience. Another aspect is that some portals display the product that are far from the customer but these match the user’s profile the most. It will also be of no use as the delivery cost as well as time will also be a deciding factor whether the customer will buy that product or not. So there is a need to build location based Recommendation techniques. In this thesis work, it has been attempted to incorporate location based services into the traditional techniques i.e. Collaborative filtering and content based filtering and name them as “LOCOL” and “LOCONT” and the displayed results are in very good terms with the customer.

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Книги з теми "EMPLOYING LOCATION"

Networking regionalised innovative labour markets. New York: Routledge, 2012.

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1945-, Gilbert Richard J., and Jacquemin Alexis, eds. Barriers to entry and strategic competition. London: Routledge, 2001.

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Foxley. Locating, Recruiting and Employing Women. Garrett Park Pr, 1985.

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Hilpert, Ulrich, and Helen Lawton Smith. Networking Regionalised Innovative Labour Markets. Taylor & Francis Group, 2012.

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Networking Regionalised Innovative Labour Markets. Routledge, 2012.

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Hilpert, Ulrich, and Helen Lawton Smith. Networking Regionalised Innovative Labour Markets. Taylor & Francis Group, 2014.

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Hilpert, Ulrich, and Helen Lawton Smith. Networking Regionalised Innovative Labour Markets. Taylor & Francis Group, 2012.

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Cheng, Russell. Bootstrap Analysis. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198505044.003.0004.

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Parametric bootstrapping (BS) provides an attractive alternative, both theoretically and numerically, to asymptotic theory for estimating sampling distributions. This chapter summarizes its use not only for calculating confidence intervals for estimated parameters and functions of parameters, but also to obtain log-likelihood-based confidence regions from which confidence bands for cumulative distribution and regression functions can be obtained. All such BS calculations are very easy to implement. Details are also given for calculating critical values of EDF statistics used in goodness-of-fit (GoF) tests, such as the Anderson-Darling A2 statistic whose null distribution is otherwise difficult to obtain, as it varies with different null hypotheses. A simple proof is given showing that the parametric BS is probabilistically exact for location-scale models. A formal regression lack-of-fit test employing parametric BS is given that can be used even when the regression data has no replications. Two real data examples are given.

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Balachandran, Jyoti Gulati. Narrative Pasts. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780190123994.001.0001.

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Narrative Pasts explores the narrative power of texts—genealogical, historical, and biographical—in creating communities. It retrieves the social history of a Muslim community in Gujarat, a region that has one of the earliest records of Muslim presence in the Indian subcontinent. By reconstructing the literary, social, and historical world of Sufi preceptors, disciples, and descendants from the fifteenth to the seventeenth century, the book reveals the importance of learned Muslim men in imparting a distinct regional and historical identity to Gujarat. The prominence of Gujarat’s maritime location has often oriented the study of Gujarat towards the commercial world of the western Indian Ocean world. Narrative Pasts demonstrates that Gujarat was also an integral part of the historical and narrative processes that shaped medieval and early modern South Asia. Employing new and rarely used literary materials in Persian and Arabic, this book departs from the narrow state-centred visions of the Muslim past and integrates Gujarat’s sultanate and Mughal past with the larger socio-cultural histories of Islamic South Asia.

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Alcalde, M. Cristina. Peruvian Lives across Borders. University of Illinois Press, 2018. http://dx.doi.org/10.5622/illinois/9780252041846.001.0001.

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Peruvian Lives across Borders focuses on the transnational lives of middle and upper-class transnational Peruvians. Among the Peruvians whose migration trajectories this book examines, return as a possibility, impossibility, or reality looms large. The lens of return provides one way to understand what transnational Peruvians desire, reject, or feel ambivalent about in constructions of home and Peruvianness. Employing return as a critical lens and through an intersectional approach, the book presents an intentional departure from the more prevalent focus on international labor migrants from lower and working classes in migration scholarship, and particularly among anthropologists. It suggests that a critical examination of middle and upper-class Peruvians’ migration experiences reveals as much about individual trajectories and class dimensions of migration as about broader constructions of Peruvianness and home that inform the everyday lives of Peruvians across multiple differences and spaces. A close look at Peruvian individual lives across settings in the United States, Canada, Germany, and Peru, and affective and material attachments to and practices in those settings, exposes the lived realities of everyday negotiations surrounding return to a home that is fundamentally made up of processes of inclusion and exclusion based on social hierarchies of gender, location, language, race, sexual identity, and class.

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Частини книг з теми "EMPLOYING LOCATION"

Kong, Ki-Sik, Joon-Min Gil, Youn-Hee Han, Ui-Sung Song, and Chong-Sun Hwang. "A New Location Caching Scheme Employing Forwarding Pointers in PCS Networks." In Information Networking: Wireless Communications Technologies and Network Applications, 143–53. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-45801-8_15.

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Cedolin, Michele, Nazlı Göker, Elif Dogu, and Y. Esra Albayrak. "Facility Location Selection Employing Fuzzy DEA and Fuzzy Goal Programming Techniques." In Advances in Fuzzy Logic and Technology 2017, 466–76. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-66830-7_42.

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Jacob, Benjamin G., and Peace Habomugisha. "Location Intelligence Powered by Machine Learning Automation for Mapping Malaria Mosquito Habitats Employing an Unmanned Aerial Vehicle (UAV) for Implementing “Seek and Destroy” for Commercial Roadside Ditch Foci and Real Time Larviciding Rock Pit Quarry Habitats in Peri-Domestic Agro-Pastureland Ecosystems in Northern Uganda." In Advanced Sciences and Technologies for Security Applications, 133–48. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-71998-2_8.

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Di Ciommo, Floridea, Eleonora Tu, Juanita Devis, Michelle Specktor, Yoram Shiftan, Miguel Jaenike, Gianni Rondinella, et al. "INDIMO Communities of Practice in Monghidoro, Antwerp, Galilée, Madrid, and Berlin: A Common Space for Co-designing Inclusive Digital Mobility Solutions." In Towards User-Centric Transport in Europe 3, 127–41. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-26155-8_8.

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AbstractThis paper demonstrates the co-creation process of digital mobility and delivery services applied in the Inclusive Digital Mobility Solutions (INDIMO) project mainly based on the local Communities of Practice (CoP) drawing on the knowledge and experience of their members to propose solutions adapted to their needs and interests. In the context of the INDIMO project, CoPs were established at five pilot locations and included users, mobility service providers, (digital) developers, user interface designers, and policymakers associated with each pilot. This chapter aims to report on the experience of the INDIMO project in employing the CoP as a tool to integrate the development of digital mobility and delivery services and the contribution and cooperation of different actors such as operators, developers, policymakers, and organizations representing the end-users. The creation of common spaces such as the INDIMO communities of practice was fundamental to enhance cooperation among different actors, co-design inclusive digital mobility solutions, and empower the participants in using the above-mentioned services. This chapter shows the development of the CoP process, the activities and challenges, and its role in making digital mobility services inclusive and universally usable.

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Crowell, Amber R., and Mark A. Fossett. "Conclusions." In Racial and Ethnic Residential Segregation Across the United States, 233–45. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-38371-7_7.

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AbstractWe wrote this book with the central goal of documenting patterns and trends of racial and ethnic segregation across communities and over time in the United States using refined methods of measurement analysis, which can sometimes be expected to change what we thought we knew from past research and at other times add more to our understanding of established patterns. In making this our goal, we produced several contributions that happily build continuity with past research and set a foundation for future research, which we can expect to come in waves each time there is a decennial census data release. First and foremost, by using measures of segregation that are free of index bias and specifically employing the separation index, a measure of evenness that can dependably signal when prototypical patterns of segregation are occurring, we were able to reanalyze and describe patterns and levels of racial and ethnic residential segregation across the United States and over time. We are not the first to describe patterns of segregation, here operationalized as the uneven distribution of two groups across neighborhood-level spatial units, across communities and over time in the United States. But we are the first to simultaneously use measures that are corrected for index bias, measure segregation of households rather than persons, and expand our analysis to not only metropolitan areas but also micropolitan areas and noncore counties. Our findings should be viewed as reliable benchmarks for descriptive analyses of racial and ethnic residential segregation across a broad range of communities moving forward and should also be taken instructively, as they demonstrate the application of the methodological changes that we recommend should be the standard for residential segregation measurement. We also use Fossett’s (2017) difference-of-means calculation of segregation indices to demonstrate new approaches for linking locational attainments to residential segregation patterns, situating segregation quantitatively as a stratification outcome. In this final chapter, we describe how this study establishes continuity with past research and sets the path for residential segregation research in the future.

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Liu, Zhibo, Feng Han, Guoqing Ni, Tao Liang, and Miaomiao Qi. "3D Visualization of Railway Development Using GIS and BIM Techniques." In Advances in Transdisciplinary Engineering. IOS Press, 2020. http://dx.doi.org/10.3233/atde200233.

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Along with the proposal of the Belt and Road initiative, the Eurasian railway lines with China and Russia as the center are entering a new era of strategic coordination. Thus, carrying out digital location design with modern mapping information technology has become a necessary means for improving railway locating efficiency and quality. Employing the GIS-based large 3D strip terrain modeling approach and its application, the present study takes consideration in factors such as slope, relief, geological disasters, and locating-influencing surface features so as to construct the most economically efficient routes and form the optimal GIS-based plans and decisions. Specific railway lines undergo BIM locating design with an integrated use of Civil 3D and Infraworks360 software. Line modeling and earthwork calculation are conducted in the Civil 3D-based terrain curvature. Moreover, line model is imported into Infraworks360 to achieve a 3D roaming demonstration. A 3D visualized implementation of railway location design is made possible using GIS+BIM approach that improves locating efficiency and design quality.

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Efe, Burak. "Ergonomic Criteria Based Material Handling Equipment Selection." In Advances in Data Mining and Database Management, 287–303. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-4963-6.ch014.

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Material handling refers to the processes of loading materials onto a material handling equipment, moving from one location to another location with the help of material handling equipment, and unloading the material from the transportation equipment to the relevant location. Non-ergonomic material handling equipment for the employee causes the increment of cycle time that does not add value to the product during transportation within the enterprise. The increase in cycle time causes an increase in fatigue and inefficiency in the employee. This study evaluates five material handling equipment based on eight ergonomic criteria by using interval type-2 fuzzy TOPSIS method. Interval type-2 fuzzy number provides to examine the fuzziness and the uncertainty more accurately than type-1 fuzzy number, which handles only one crisp membership degree. The opinions of experts are aggregated by employing interval type-2 fuzzy number operators.

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Chandel, Ajay, and Tejbir Kaur. "Demystifying Neuromarketing." In Advances in Marketing, Customer Relationship Management, and E-Services, 256–83. IGI Global, 2022. http://dx.doi.org/10.4018/978-1-6684-4496-2.ch016.

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This study tries to decipher the role of neuromarketing in the myriad fields of business employing in-depth review of literature. This work thus proposes abundant acumens into important facets of neuromarketing in the business world employing a bibliometric investigation. The chapter presents an assessment of important neuromarketing enablers and their function in several business disciplines aimed superior business performance. The existing literature was classified based on a variety of bibliometric factors such as year, location, author, institution, and source related data. The literature is further classified based on keyword co-occurrence. The observed clusters indicate neuromarketing applications and execution problems in business. The complete overview, which spans the years 2000 to 2021, can help managers keep current on the uses of neuromarketing in many sectors. The chapter also identifies potential topics for neuromarketing research in several industry sectors to support neuromarketing adoption.

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Jain, Lokesh, and Harish Kumar. "Mobile Networks and Indian Agricultural Sector." In Environmental and Agricultural Informatics, 516–35. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-5225-9621-9.ch024.

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Information dissemination in agricultural sector for its growth using information and communication technology (ICT) as a tool is need of the hour. This can be achieved using information systems. ICT benefits are helpful in exchange and dissemination of information among farming stakeholders. By using the latest tool of mobile technology, farmers can get the current information related to their farming jobs around the clock and at any location, as the mobile network have touched every part/location of the India. Using the features of the mobile-phones like GPS etc. one can get the localized information. Only need is to structure the abundant information available across the various organizations. So, a mobile based agricultural information system framework ‘mAgIDS' has been proposed employing the hybrid mobile application architecture approach. Client-server architecture using the location Application Programming Interface (API) has been proposed. Inference mechanism of the system has implemented on the basis of improved fuzzy rule promotion technique.

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Jain, Lokesh, and Harish Kumar. "Mobile Networks and Indian Agricultural Sector." In Advances in Wireless Technologies and Telecommunication, 60–79. IGI Global, 2017. http://dx.doi.org/10.4018/978-1-5225-2342-0.ch004.

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Тези доповідей конференцій з теми "EMPLOYING LOCATION"

Kim, Donnie H., Kyungsik Han, and Deborah Estrin. "Employing user feedback for semantic location services." In the 13th international conference. New York, New York, USA: ACM Press, 2011. http://dx.doi.org/10.1145/2030112.2030142.

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Yamamoto, Daisuke, Itsu Takumi, and Hiroshi Matsuo. "Location-based social network services employing student cards for university." In the 2009 International Workshop. New York, New York, USA: ACM Press, 2009. http://dx.doi.org/10.1145/1629890.1629895.

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Jedari, Esrafil, Zheng Wu, Rashid Rashidzadeh, and Mehrdad Saif. "Wi-Fi based indoor location positioning employing random forest classifier." In 2015 International Conference on Indoor Positioning and Indoor Navigation (IPIN). IEEE, 2015. http://dx.doi.org/10.1109/ipin.2015.7346754.

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Звіти організацій з теми "EMPLOYING LOCATION"

Mohammadian, Abolfazl, Amir Bahador Parsa, Homa Taghipour, Amir Davatgari, and Motahare Mohammadi. Best Practice Operation of Reversible Express Lanes for the Kennedy Expressway. Illinois Center for Transportation, September 2021. http://dx.doi.org/10.36501/0197-9191/21-033.

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Анотація:

Reversible lanes in Chicago’s Kennedy Expressway are an available infrastructure that can significantly improve traffic performance; however, a special focus on congestion management is required to improve their operation. This research project aims to evaluate and improve the operation of reversible lanes in the Kennedy Expressway. The Kennedy Expressway is a nearly 18-mile-long freeway in Chicago, Illinois, that connects in the southeast to northwest direction between the West Loop and O’Hare International Airport. There are two approximately 8-mile reversible lanes in the Kennedy Expressway’s median, where I-94 merges into I-90, and there are three entrance gates in each direction of this corridor. The purpose of the reversible lanes is to help the congested direction of the Kennedy Expressway increase its traffic flow and decrease the delay in the whole corridor. Currently, experts in a control location switch the direction of the reversible lanes two to three times per day by observing real-time traffic conditions captured by a traffic surveillance camera. In general, inbound gates are opened and outbound gates are closed around midnight because morning traffic is usually heavier toward the central city neighborhoods. In contrast, evening peak-hour traffic is usually heavier toward the outbound direction, so the direction of the reversible lanes is switched from inbound to outbound around noon. This study evaluates the Kennedy Expressway’s current reversing operation. Different indices are generated for the corridor to measure the reversible lanes’ performance, and a data-driven approach is selected to find the best time to start the operation. Subsequently, real-time and offline instruction for the operation of the reversible lanes is provided through employing deep learning and statistical techniques. In addition, an offline timetable is also provided through an optimization technique. Eventually, integration of the data-driven and optimization techniques results in the best practice operation of the reversible lanes.

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