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Статті в журналах з теми "ENERGY EFFICIENT TECHNIQUES"

Автор: Grafiati

Опубліковано: 3 червня 2025

Оновлено: 31 липня 2025

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1

G, Soumya Dath. "Energy Efficient Wireless Sensor Networks: A Survey on Energy-Based Routing Techniques." International Journal of Trend in Scientific Research and Development Volume-3, Issue-2 (2019): 226–31. http://dx.doi.org/10.31142/ijtsrd20304.

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2

Whalley, David. "Energy efficient data access techniques." ACM SIGPLAN Notices 49, no. 5 (2014): 1. http://dx.doi.org/10.1145/2666357.2602568.

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3

Hussain Rizvi, Syed Sabir, Krishna Teerth Chaturvedi, and Mohan Lal Kolhe. "A review on peak shaving techniques for smart grids." AIMS Energy 11, no. 4 (2023): 723–52. http://dx.doi.org/10.3934/energy.2023036.

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<abstract> <p>Peak shaving techniques have become increasingly important for managing peak demand and improving the reliability, efficiency, and resilience of modern power systems. In this review paper, we examine different peak shaving strategies for smart grids, including battery energy storage systems, nuclear and battery storage power plants, hybrid energy storage systems, photovoltaic system installations, the real-time scheduling of household appliances, repurposed electric vehicle batteries, uni- and bi-directional electric vehicle charging, the demand response, the time-of-

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4

Cardoso, Filipe, Sven Petersson, Mauro Boldi, et al. "Energy efficient transmission techniques for LTE." IEEE Communications Magazine 51, no. 10 (2013): 182–90. http://dx.doi.org/10.1109/mcom.2013.6619582.

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5

Sheena, B. Gracelin, and N. Snehalatha. "Energy-efficient techniques in 5G communication." International Journal of Autonomous and Adaptive Communications Systems 17, no. 4 (2024): 334–51. http://dx.doi.org/10.1504/ijaacs.2024.139415.

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6

Jagadheeswari, M., and M. Anand kumar. "Energy Efficient Techniques in Wireless Networks." International Journal of Computer Trends and Technology 40, no. 1 (2016): 55–59. http://dx.doi.org/10.14445/22312803/ijctt-v40p110.

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7

Chugh, Amit, and Supriya Panda. "Energy Efficient Techniques in Wireless Sensor Networks." Recent Patents on Engineering 13, no. 1 (2019): 13–19. http://dx.doi.org/10.2174/1872212112666180731114046.

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Background: Wireless Sensor Network (WSN) is a collection of tiny electromechanical nodes termed as sensors. Sensors are equipped with sensing unit, which is designed for application specific. When deployed either by planned or unplanned after deployment, sensor’s energy starts depleting due to various roles like sensing, communication and aggregation. Method: WSN is challenged with limited battery power. The aim is to enhance energy efficiency that leads to a prolonged lifetime of networks. Results: We have reviewed the patents related to energy efficiency in wireless sensor networks. This Pa

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8

Devineni, Sreenath, and Bhargavi Gorantla. "Energy-Efficient Computing and Green Computing Techniques." 4 1, no. 4 (2023): 37–45. http://dx.doi.org/10.46632/cset/1/4/5.

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Energy-efficient computing and strategies for environmentally sustainable computing have become indispensable in the contemporary world, given the escalating demand for computing power and the growing emphasis on ecological conservation. This summary delves into diverse facets of energy efficient computing and green computing methodologies, elucidating their significance, hurdles, and potential remedies. The primary objective of energy-efficient computing is to curtail the energy consumption of computing systems while either maintaining or enhancing their performance. This proves pivotal in al

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9

Kaur, Balinder, and Sunil Nagpal. "Review on Energy Efficient Techniques in MANETs." International Journal of Computer Sciences and Engineering 6, no. 8 (2018): 784–89. http://dx.doi.org/10.26438/ijcse/v6i8.784789.

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10

Sharma, Neha, and Neeru Bhardwaj. "Analysis of Energy Efficient Techniques of IoT." International Journal of Computer Sciences and Engineering 7, no. 5 (2019): 321–25. http://dx.doi.org/10.26438/ijcse/v7i5.321325.

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11

Avinash Jethi, Preeti Sharma and Rakesh Kuma. "Analysis of Energy Efficient Techniques of WSN." International Journal for Modern Trends in Science and Technology 7, no. 07 (2022): 58–62. http://dx.doi.org/10.46501/ijmtst050239.

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The wireless sensor networks is the decentralized type of network in which sensor devices sense information and pass it to base station. Due to dynamic topology of the network security, data aggregation and energy consumption are the major issue which affects network performance. In the past years many techniques are designed to improve lifetime of lifetime of sensor networks. In this review paper, energy efficient techniques of wireless sensor networks are reviewed in terms of certain parameters

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12

Gang Qu and M. Potkonjak. "Techniques for energy-efficient communication pipeline design." IEEE Transactions on Very Large Scale Integration (VLSI) Systems 10, no. 5 (2002): 542–49. http://dx.doi.org/10.1109/tvlsi.2002.800522.

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13

Suresh, Dinesh C., Banit Agrawal, Jun Yang, and Walid A. Najjar. "Tunable and Energy Efficient Bus Encoding Techniques." IEEE Transactions on Computers 58, no. 8 (2009): 1049–62. http://dx.doi.org/10.1109/tc.2009.39.

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14

Awasthi, Ritesh, and Navneet Kaur. "Review of Energy Efficient Techniques of IoT." International Journal on Recent and Innovation Trends in Computing and Communication 7, no. 5 (2019): 17–21. http://dx.doi.org/10.17762/ijritcc.v7i5.5304.

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The network across which the information is sensed by the sensor devices and then forwarded to the sink is known as Internet of Things (IoT). Even though this system is deployed in several applications, there are certain issues faced in it due to its dynamic nature. The internet of things is derived from the wireless sensor networks. The sensor nodes which are deployed to sense environmental conditions are very small in size and also deployed on the far places due to which energy consumption is the major issue of internet of things. This research work related to reduce energy consumption of th

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15

Mujtaba, Ghulam, Muhammad Tahir, and Muhammad Hanif Soomro. "Energy Efficient Data Encryption Techniques in Smartphones." Wireless Personal Communications 106, no. 4 (2018): 2023–35. http://dx.doi.org/10.1007/s11277-018-5920-1.

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16

Soumya, Dath G. "Energy Efficient Wireless Sensor Networks A Survey on Energy Based Routing Techniques." International Journal of Trend in Scientific Research and Development 3, no. 2 (2019): 226–31. https://doi.org/10.31142/ijtsrd20304.

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Анотація:

Wireless sensor network WSN is composed of sensing and detecting nodes distributed in the wireless communication region to access and sense the surrounding information of the particular deployed area. The distributed nature of WSN provides accessibility to tiny detecting nodes to sense the information statistics as well as various environmental and physical states. Efficient energy utilization is a considerable issue to maintain, expand and increase the lifetime of the wireless sensor network, as network contains battery operated devices nodes . Due to its sensing capability effect of nodes, W

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17

Geethu, Bastian. "GREEN IT TECHNIQUES FOR ENERGY CONSERVATION." International Journal of Advances in Engineering & Scientific Research 2, no. 9 (2015): 12–21. https://doi.org/10.5281/zenodo.10745911.

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<strong>Abstract: </strong>   <em>Green Computing or Green IT is a study that uses science to create technologies that help to preserve natural resources and reduce the harmful impacts on the environment. Green computing, also called green technology, is the environmentally responsible use of computers and related resources to protect environment, minimize energy consumption and to keep the environment Green. </em><em>The major power consumption components are the central processing unit and the graphic processor unit, chipset etc. </em><em>So this technology focuses on energy conservatio

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18

P, K. Ponsangari. "Energy Efficient Building using Solar Energy and Adoptation of Green Building Techniques." International Journal of Trend in Scientific Research and Development 3, no. 6 (2019): 356–60. https://doi.org/10.5281/zenodo.3587881.

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The field of "ENERGY EFFICIENT BUILDING", or building design and constructions that prioritizes energy efficiency and sustainability, is young but rapidly developing. This report's analysis of building construction practices includes description of methods that are currently being employed by the construction industry to increase energy efficiency methods to decrease the amount of energy used in building operating systems, and methods that are currently known to improve energy efficiency but are not yet commercially viable. As energy consumption from residential building is predi

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19

ANSHUL, NISHI, and MEHER VARSHA. "AN EXPLORATORY REVIEW ON ENERGY EFFICIENT TECHNIQUES FOR DC DRIVE SYSTEM." International Journal of Innovations in Engineering Research and Technology 4, no. 11 (2017): 16–22. https://doi.org/10.5281/zenodo.1098512.

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We contemplate vitality stockpiling gear that is associated with DC6 chopper of diesel train (WDM2) of railroad. We take reference model of diesel train WDM2 for the investigation of paper. Amid the driving time frame, the speeding up of the prepare gets to be distinctly bigger because of the boosting operation of the hardware. The gear charges a piece of recovered vitality when it supports the voltage amid braking period, and releases the put away vitality when it used to work other electrical hardware. At the season of regenerative braking we store the electrical vitality it is help to spare

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20

Ahvenlampi, Timo, Timo Malmi, Mervi Liedes, and Enso Ikonen. "Energy efficient control techniques in continuous cooking application." IFAC Proceedings Volumes 43, no. 1 (2010): 297–302. http://dx.doi.org/10.3182/20100329-3-pt-3006.00054.

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21

Haleem, Mohamed A. "Energy efficient transmission techniques for wireless sensor networks." IET Science, Measurement & Technology 8, no. 6 (2014): 420–25. http://dx.doi.org/10.1049/iet-smt.2013.0281.

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22

Ali, Anum, Ghalib A. Shah, and Junaid Arshad. "Energy efficient techniques for M2M communication: A survey." Journal of Network and Computer Applications 68 (June 2016): 42–55. http://dx.doi.org/10.1016/j.jnca.2016.04.002.

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23

Kim, Young-Jin, and Jihong Kim. "Energy-Efficient Techniques for Disk-Based Mobile Systems." Journal of Low Power Electronics 3, no. 3 (2007): 302–17. http://dx.doi.org/10.1166/jolpe.2007.142.

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24

Snehalatha, N., and Gracelin Sheena B. "Energy Efficient Techniques in 5G Communication: A Survey." International Journal of Autonomous and Adaptive Communications Systems 17, no. 4 (2024): 1. http://dx.doi.org/10.1504/ijaacs.2024.10056426.

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25

Yang, Fang Fang. "Study on Building Energy Saving Techniques and Ways in China." Advanced Materials Research 908 (March 2014): 445–48. http://dx.doi.org/10.4028/www.scientific.net/amr.908.445.

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The building is one of the most common forms of space in our life, has a great influence on our life. China facing a very grim energy situation, building energy efficiency has great impetus to economic development. This paper analyzes the ways to achieve the construction of energy-efficient and proposes to reduce the total energy demand and utilization of new energy sources. In the construction of energy-saving technology, the construction of energy-efficient windows and doors and roof insulation wall are analyzed and puts forward some relevant suggestions.

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26

Lopez-Martin, Antonio, Maria Pilar Garde, Jose M. Algueta-Miguel, Javier Beloso-Legarra, Ramon G. Carvajal, and Jaime Ramirez-Angulo. "Energy-Efficient Amplifiers Based on Quasi-Floating Gate Techniques." Applied Sciences 11, no. 7 (2021): 3271. http://dx.doi.org/10.3390/app11073271.

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Energy efficiency is a key requirement in the design of amplifiers for modern wireless applications. The use of quasi-floating gate (QFG) transistors is a very convenient approach to achieve such energy efficiency. We illustrate different QFG circuit design techniques aimed to implement low-voltage, energy-efficient class AB amplifiers. A new super class AB QFG amplifier is presented as a design example, including some of the techniques described. The amplifier has been fabricated in a 130 nm CMOS test chip prototype. Measurement results confirm that low-voltage, ultra-low-power amplifiers can

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27

Palanki, Vijaya Chaitanya. "Statistical Performance Analysis of Energy-Efficient Equipment Using Advanced Data Science Techniques." International Journal of Core Engineering & Management 7, no. 3 (2022): 60–67. https://doi.org/10.5281/zenodo.14064216.

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As the international emphasis on sustainability amplifies, the adoption of energy-efficient equipment has become crucial across various sectors. This paper presents a complete statistical breakdown of energy-efficient equipment performance using advanced data science techniques. By leveraging machine learning algorithms, time series analysis, and statistical inference methods, we propose a robust framework to assess and forecast the implementation of energy-efficient systems. Our methodology encompasses data collection, preprocessing, exploratory data analysis, hypothesis testing, and predicti

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28

Alfayyadh, Linda Aziz Jawad. "Innovative Techniques for Enhancing Building Energy Efficiency: A Comprehensive Review." KHWARIZMIA 2023 (September 15, 2023): 146–54. https://doi.org/10.70470/khwarizmia/2023/015.

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This review paper provides a literature review on the state of the art, recent development of energy efficiency for smart building with findings published in the past five years. And it shows how growing Building Energy Efficiency (BEE) and decreasing energy usage innovative approaches and technologies are being used. Common methods for assessing and forecasting energy utilization are presented, and methods for adapting the internal configuration of a building to supply energy efficient performance are addressed. Particular emphasis is placed on the control of luminaires because their efficien

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29

Siddalingamma, Smt. "Energy Efficient in Cloud Computing." International Journal for Research in Applied Science and Engineering Technology 11, no. 7 (2023): 1034–38. http://dx.doi.org/10.22214/ijraset.2023.54780.

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Abstract: Today, both parallel and distributing computing have became ubiquitous in the forms of clouds and cyber physical systems, The size of cloud data center is growing rapidly. The larger the data center is, the more energy it consumes. Therefore, more and more researchers focus on energy efficient resource management techniques in the data center. In which manage the load factor and cpu utilization. we consider about cloud computing, its working, its problem definition, virtual machine requirements( executing VMs with similar execution time), objectives and future development of cloud co

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30

Kak, Sanna Mehraj, Parul Agarwal, and M. Afshar Alam. "Task Scheduling Techniques for Energy Efficiency in the Cloud." EAI Endorsed Transactions on Energy Web 9, no. 39 (2022): e6. http://dx.doi.org/10.4108/ew.v9i39.1509.

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Energy efficiency is a key goal in cloud datacentre since it saves money and complies with green computing standards. When energy efficiency is taken into account, task scheduling becomes much more complicated and crucial. Execution overhead and scalability are major concerns in current research on energy-efficient task scheduling. Machine learning has been widely utilized to solve the problem of energy-efficient task scheduling, however, it is usually used to anticipate resource usage rather than selecting the schedule. The bulk of machine learning approaches are used to anticipate resource c

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31

C, Vasuki, Dr Kavitha S, and Bhuvaneswari S. "A Certain Investigation on Secured and Energy Efficient Data Transmission Techniques Over Wireless Sensor Network." Webology 18, no. 05 (2021): 1226–35. http://dx.doi.org/10.14704/web/v18si05/web18303.

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Wireless sensor networks are greatly utilized by various applications and environments to sense and transmit the data. As wireless sensor network doesn’t have any centralized architecture, there will be various issues occurs in the network such as data transmission failure, data security issues, energy resource limitation and so on. Various authors focused these issues and published different research works to resolve these issues. In this analysis work, energy efficient and secured data transmission techniques introduced by various authors has been discussed in detailed based on their working

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32

Nishanth, Reddy Mandala. "Energy-Efficient ETL Workflows." Journal of Scientific and Engineering Research 7, no. 12 (2020): 276–87. https://doi.org/10.5281/zenodo.14274326.

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As data volumes grow and energy costs rise, there is an increasing demand for optimizing the energy efficiency of ETL (Extract, Transform, Load) workflows. ETL processes, which are fundamental to data warehousing and analytics, are often resource-intensive and energy-demanding, leading to high operational costs and carbon footprints. This paper presents a detailed exploration of techniques and strategies for energy-efficient ETL workflows, addressing methods to reduce energy consumption during data extraction, transformation, and loading phases. Additionally, the impact of cloud computing and

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33

Ayub, Ahsan, and Uzair Ibrahim. "Exergy Models and Tar Removal Techniques in Biomass Gasification." Advanced Journal of Graduate Research 5, no. 1 (2018): 16–23. http://dx.doi.org/10.21467/ajgr.5.1.16-23.

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Quest for higher conversion efficiency and reduced environmental impact has increased the focus on renewable energy sources. Biomass is a sustainable form of energy that can be used as an alternate of fossil fuels through biomass gasification. Gasification is one of the most used methods for converting biomass into syngas that is a usable form of energy. The biomass gasification serves as a promising process for energy production. However, uncertainty in process variables and formation of tar has been a challenge in efficient process design and operation. This paper contains literature review

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34

Ramkumar, B., and Harish M. Kittur. "Faster and Energy-Efficient Signed Multipliers." VLSI Design 2013 (June 2, 2013): 1–12. http://dx.doi.org/10.1155/2013/495354.

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We demonstrate faster and energy-efficient column compression multiplication with very small area overheads by using a combination of two techniques: partition of the partial products into two parts for independent parallel column compression and acceleration of the final addition using new hybrid adder structures proposed here. Based on the proposed techniques, 8-b, 16-b, 32-b, and 64-b Wallace (W), Dadda (D), and HPM (H) reduction tree based Baugh-Wooley multipliers are developed and compared with the regular W, D, H based Baugh-Wooley multipliers. The performances of the proposed multiplier

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35

Vasiliev, Elena M. "ENERGY-EFFICIENT DESIGN FOR SATELLITE COMMUNICATION: CHALLENGES AND OPPORTUNITIES." International Journal of Research in Engineering 2, no. 6 (2022): 1–6. https://doi.org/10.55640/ijre-02-06-01.

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Energy efficiency is becoming an increasingly important consideration in the design of satellite communication systems. With the rapid expansion of satellite constellations and the ever-growing demand for high-performance communication services, the need for energy-efficient satellite systems has never been greater. This review aims to analyze the key components and strategies for energy-efficient design in satellite communication systems, considering various technological innovations and approaches in the field. The paper examines the role of power consumption in different segments of satelli

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36

Ronak, Italia. "An Analysis of Power Management Techniques in Modern Electronics." International Journal of Innovative Research in Engineering & Multidisciplinary Physical Sciences 12, no. 2 (2024): 1–12. https://doi.org/10.5281/zenodo.14280105.

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The increasing demand for energy efficiency in modern electronics has driven significant advancements in power management techniques. This study explores key strategies, including dynamic voltage and frequency scaling (DVFS), scheduling algorithms, battery management systems (BMS), and the integration of artificial intelligence (AI). DVFS optimizes energy use by dynamically adjusting processor voltage and frequency, proving essential in systems ranging from IoT devices to data centres. Scheduling algorithms ensure efficient task execution, particularly in 5G networks, wearable devices, electri

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37

Wang, Heng, Jiamo Jiang, Jian Li, Manzoor Ahmed, and Mugen Peng. "High Energy Efficient Heterogeneous Networks: Cooperative and Cognitive Techniques." International Journal of Antennas and Propagation 2013 (2013): 1–7. http://dx.doi.org/10.1155/2013/231794.

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Heterogeneous network (HetNet) is considered as the main and eminent future communication technology, since it achieves high spectral efficiency per unit area and saves energy due to low transmission power. Mass deployment of small cells in cochannel mode increases overall system capacity, but it is also coupled with greater risk of cochannel interference. This paper overviews the interference model based on the Poisson point process (PPP) and analyzes the performance in terms of energy efficiency in multitier HetNet. As the promising solution for improving the performance of HetNet, both the

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38

Xia, Tangbin, Xiangxin An, Huaqiang Yang, et al. "Efficient Energy Use in Manufacturing Systems—Modeling, Assessment, and Management Strategy." Energies 16, no. 3 (2023): 1095. http://dx.doi.org/10.3390/en16031095.

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Анотація:

Currently, studies on the energy efficiency of manufacturing systems usually lack synthetic and systematic techniques. In this paper, a holistic framework is demonstrated in order to achieve more sustainable manufacturing, which covers machine-level, system-level and life-cycle-level energy efficiency techniques. Based on these, the mechanism of how energy consumption is affected by machining processes and system operation is analyzed to achieve a comprehensive decision on energy efficiency optimization. Four main topics are included in this paper: (1) Hierarchical sustainability goals and met

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39

Rajavel, Vijayaprabhuvel. "Integrating Power-Saving Techniques into Design for Testability of Semiconductors for Power-Efficient Testing." American Journal of Engineering and Technology 07, no. 03 (2025): 243–51. https://doi.org/10.37547/tajet/volume07issue03-22.

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This article addresses the issue of improving energy efficiency in the testing of system-on-chip (SoC) semiconductor systems, including heterogeneous computing cores and AI accelerators. An analysis of SoC architecture and existing Design for Testability (DFT) methodologies is presented, considering energy-saving techniques such as clock gating, power gating, and dynamic voltage and frequency scaling (DVFS). A literature review highlights the insufficient development of a comprehensive approach to reducing power consumption specifically during testing procedures. Practical examples, including

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40

Kaur, Ramandeep, and Rekha Bhatia. "Energy Efficient Techniques of Wireless Sensor Network: A Review." International Journal of Advanced Research in Computer Science and Software Engineering 7, no. 6 (2017): 391–93. http://dx.doi.org/10.23956/ijarcsse/v7i6/0142.

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41

P.D, Karale, and Shinde S.B. "Review on “Energy Efficient WSN Techniques in Environmental Monitoring”." IJARCCE 6, no. 6 (2017): 131–34. http://dx.doi.org/10.17148/ijarcce.2017.6625.

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42

Kaur, Kiranjit, and Sandeep Waraich. "Energy Efficient Wireless Sensor Networks based on Clustering Techniques." International Journal of Computer Applications 119, no. 11 (2015): 8–11. http://dx.doi.org/10.5120/21109-3880.

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43

Kaur, Nirmal, Savina Bansal, and Rakesh Kumar Bansal. "Survey on energy efficient scheduling techniques on cloud computing." Multiagent and Grid Systems 17, no. 4 (2022): 351–66. http://dx.doi.org/10.3233/mgs-220357.

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Анотація:

With ever-growing technical advances, performance of complex scientific and engineering applications has arrived at petaflops and exaflops range. However, massive power drawn from the large scale computing infrastructure has caused commensurate rise in electricity consumption, escalating data center ownership costs besides leaving carbon footprints. Judicious scheduling of complex applications with an objective to reduce overall makespan and reduced energy consumption has become one of the biggest confront in the realm of computing architectures. This paper presents a survey on energy efficien

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RAVINDRA, J. V. R., and M. B. SRINIVAS. "DELAY AND ENERGY EFFICIENT CODING TECHNIQUES FOR CAPACITIVE INTERCONNECTS." Journal of Circuits, Systems and Computers 16, no. 06 (2007): 929–42. http://dx.doi.org/10.1142/s0218126607004106.

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Анотація:

In the current era of deep-submicron technology (DSM), minimizing the propagation delay and energy consumption on buses is the most important design objective in system-on-chip (SOC) designs. In particular, coupling effects between wires on the bus can cause serious problems such as cross-talk delay, noise, and power dissipation. Most of the work reported in literature so far concentrates on either minimizing the energy consumption or the delay. In this paper, the authors propose two coding techniques for achieving energy and delay efficiency in data transmission on on-chip buses. It is shown,

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Tuan-Duc Nguyen, O. Berder, and O. Sentieys. "Energy-Efficient Cooperative Techniques for Infrastructure-to-Vehicle Communications." IEEE Transactions on Intelligent Transportation Systems 12, no. 3 (2011): 659–68. http://dx.doi.org/10.1109/tits.2011.2118754.

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Thakkar, Ankit, Kinjal Chaudhari, and Monika Shah. "A Comprehensive Survey on Energy-Efficient Power Management Techniques." Procedia Computer Science 167 (2020): 1189–99. http://dx.doi.org/10.1016/j.procs.2020.03.432.

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Sundaran, Karthika, S. Murugaanandam, and Velappa Ganapathy. "Energy Efficient Techniques in Wireless Sensor Networks: Recent Survey." Sensor Letters 14, no. 7 (2016): 643–55. http://dx.doi.org/10.1166/sl.2016.3588.

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Usman, Mohammed Joda, Abdul Samad Ismail, Gaddafi Abdul-Salaam, et al. "Energy-efficient Nature-Inspired techniques in Cloud computing datacenters." Telecommunication Systems 71, no. 2 (2019): 275–302. http://dx.doi.org/10.1007/s11235-019-00549-9.

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Chkirbene, Zina, Ala Gouissem, Rachid Hadjidj, Sebti Foufou, and Ridha Hamila. "Efficient techniques for energy saving in data center networks." Computer Communications 129 (September 2018): 111–24. http://dx.doi.org/10.1016/j.comcom.2018.07.025.

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50

Suresh, Dinesh C., Banit Agrawal, Jun Yang, and Walid Najjar. "Energy-efficient encoding techniques for off-chip data buses." ACM Transactions on Embedded Computing Systems 8, no. 2 (2009): 1–23. http://dx.doi.org/10.1145/1457255.1457256.

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