Abstract

n Time series forecasting is the technique of predicting future events using previous data. Time series data includes information that is collected and recorded at regular intervals, such as daily stock prices, monthly sales figures, or hourly temperature readings. The purpose of time series forecasting is to use previous data to create accurate forecasts about the future values of a given variable. This can be beneficial for a range of applications, including financial forecasting, weather forecasting, and energy demand forecasting. Time series forecasting is an important tool in many fields, including business, economics, finance, and engineering. It can help one make informed judgements about things like production planning, inventory management, and investment strategies. It is also employed in a variety of domains, including meteorology, epidemiology, and ecology. Its applications are far-reaching and contribute to making well-informed decisions in areas like production planning, inventory management, and investment strategies. Moreover, this technique finds extensive use in diverse fields like meteorology, epidemiology, and ecology, where it aids in predicting weather patterns, analyzing disease trends, and understanding ecological systems. By utilizing time series forecasting, professionals in different domains can harness the power of historical data to gain insights and make informed decisions.n

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1. Taylor SJ, Letham B. Business Time Series Forecasting at Scale. PeerJ Preprints 5: E3190v2, 35 (8), 48–90.
2. Murphy JE, Wo JY, Ryan DP, Clark JW, Jiang W, Yeap BY, Drapek LC, Ly L, Baglini CV, Blaszkowsky LS, Ferrone CR. Total neoadjuvant therapy with FOLFIRINOX in combination with losartan followed by chemoradiotherapy for locally advanced pancreatic cancer: a phase 2 clinical trial. JAMA oncology. 2019 Jul 1;5(7):1020–7.
3. Rafferty G. Forecasting Time Series Data with Facebook Prophet: Build, improve, and optimize time series forecasting models using the advanced forecasting tool. Packt Publishing Ltd; 2021 Mar 12.
4. Moffitt C. Forecasting Website Traffic Using Facebook’s Prophet Library – Practical Business Python. Pbpython.com. 2017. Available from: https://pbpython.com/prophet-overview.html
5. Prusti D, Tripathy AK, Sahu R, Rath SK. Bitcoin Price Prediction by Applying Machine Learning Approaches. In Advances in Distributed Computing and Machine Learning: Proceedings of ICADCML 2023 2023 Jun 28 (pp. 305-319). Singapore: Springer Nature Singapore.
6. Hyndman RJ, Koehler AB, Ord JK, Snyder RD. Forecasting with Exponential Smoothing: The State Space Approach. Berlin, Germany: Springer; 2008.
7. Lim B, Zohren S. Time-series forecasting with deep learning: a survey. Philosophical Transactions of the Royal Society A. 2021 Apr 5;379(2194):20200209.
8. Divina F, Garcia Torres M, Gomez Vela FA, Vazquez Noguera JL. A comparative study of time series forecasting methods for short term electric energy consumption prediction in smart buildings. Energies. 2019 May 20;12(10):1934.
9. Jin X. Modern machine learning in time series forecasting. University of California, Santa Barbara; 2022.

nn [/if 1104][if 1104 not_equal=””]n

[foreach 1102]n
1. [if 1106 equals=””], [/if 1106][if 1106 not_equal=””],[/ifn 1106]

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[if 344 not_equal=””]ISSN: [/if 344]n

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Abstract

n Time series forecasting is the technique of predicting future events using previous data. Time series data includes information that is collected and recorded at regular intervals, such as daily stock prices, monthly sales figures, or hourly temperature readings. The purpose of time series forecasting is to use previous data to create accurate forecasts about the future values of a given variable. This can be beneficial for a range of applications, including financial forecasting, weather forecasting, and energy demand forecasting. Time series forecasting is an important tool in many fields, including business, economics, finance, and engineering. It can help one make informed judgements about things like production planning, inventory management, and investment strategies. It is also employed in a variety of domains, including meteorology, epidemiology, and ecology. Its applications are far-reaching and contribute to making well-informed decisions in areas like production planning, inventory management, and investment strategies. Moreover, this technique finds extensive use in diverse fields like meteorology, epidemiology, and ecology, where it aids in predicting weather patterns, analyzing disease trends, and understanding ecological systems. By utilizing time series forecasting, professionals in different domains can harness the power of historical data to gain insights and make informed decisions.n

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[foreach 379]n

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n Referencesn

n [if 1104 equals=””]n

1. Taylor SJ, Letham B. Business Time Series Forecasting at Scale. PeerJ Preprints 5: E3190v2, 35 (8), 48–90.
2. Murphy JE, Wo JY, Ryan DP, Clark JW, Jiang W, Yeap BY, Drapek LC, Ly L, Baglini CV, Blaszkowsky LS, Ferrone CR. Total neoadjuvant therapy with FOLFIRINOX in combination with losartan followed by chemoradiotherapy for locally advanced pancreatic cancer: a phase 2 clinical trial. JAMA oncology. 2019 Jul 1;5(7):1020–7.
3. Rafferty G. Forecasting Time Series Data with Facebook Prophet: Build, improve, and optimize time series forecasting models using the advanced forecasting tool. Packt Publishing Ltd; 2021 Mar 12.
4. Moffitt C. Forecasting Website Traffic Using Facebook’s Prophet Library – Practical Business Python. Pbpython.com. 2017. Available from: https://pbpython.com/prophet-overview.html
5. Prusti D, Tripathy AK, Sahu R, Rath SK. Bitcoin Price Prediction by Applying Machine Learning Approaches. In Advances in Distributed Computing and Machine Learning: Proceedings of ICADCML 2023 2023 Jun 28 (pp. 305-319). Singapore: Springer Nature Singapore.
6. Hyndman RJ, Koehler AB, Ord JK, Snyder RD. Forecasting with Exponential Smoothing: The State Space Approach. Berlin, Germany: Springer; 2008.
7. Lim B, Zohren S. Time-series forecasting with deep learning: a survey. Philosophical Transactions of the Royal Society A. 2021 Apr 5;379(2194):20200209.
8. Divina F, Garcia Torres M, Gomez Vela FA, Vazquez Noguera JL. A comparative study of time series forecasting methods for short term electric energy consumption prediction in smart buildings. Energies. 2019 May 20;12(10):1934.
9. Jin X. Modern machine learning in time series forecasting. University of California, Santa Barbara; 2022.

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[foreach 1102]n
1. [if 1106 equals=””], [/if 1106][if 1106 not_equal=””],[/ifn 1106]

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Abstract

n In 1992, the concept of a metaverse was first introduced to the public. Metaverse, as its name implies, is a mashup of the terms “meta” and “universe,” where “meta” is Greek for “beyond”. As a result, it means beyond our current understanding of the universe. It exists in the virtual world but feels just as real. In a metaverse, various virtual spaces are combined into a single, persistent, 3D environment. Metaverse enables users to experience immersive gaming, conduct business, socialize, buy and sell virtual properties, and enjoy immersive entertainment in a virtual world by interacting with their digital avatars. People can experience virtual and augmented versions of reality in metaverse. Basically, it means there is more to the universe than we realize. In recent news, Facebook announced it would rebrand its company family as metaverse-centered. Zuckerberg’s press release brought it to the forefront of the public’s attention. Literature has discussed metaverse technology since the 1990s, but this study presents an analysis of its bibliometric evolution. There has been tremendous attention paid to the metaverse in recent years due to a number of related technologies. There would be a realistic metaverse, where direct and physical interactions would be encouraged, with racial, gender, and physical disability concepts weakened, which would be highly beneficial to society.n

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1. Arun Kumar CB. Are you ready for the Metaverse? [Online]. 2022. Thehindu.com. Available at https://www.thehindu.com/education/what-is-the-metaverse-and-how-does-it-work/article65330151.ece
2. Kim J. Advertising in the metaverse: research agenda. J Interact Advert. 2021; 21 (3): 141–144.
3. Engadget. Facebook says it doesn’t want to own the metaverse, just jumpstart it. [Online]. 2021. Engadget. Available at https://www.engadget.com/facebook-connect-metaverse-zuckerberg-171507437.html?guccounter=1
4. Bhatia S. Metaverse: what is it, and what can it be – level up coding. [Online]. 2021. Available at https://levelup.gitconnected.com/metaverse-what-is-it-and-what-can-it-be-1173a0e65d73
5. Joshi N. Here’s why the metaverse concept is brilliant and ridiculous at the same time. Allerin.com. [Online]. 2021. Available at https://www.allerin.com/blog/heres-why-the-metaverse-concept-is-brilliant-and-ridiculous-at-the-same-time
6. Ratan R, Lei Y. What is the metaverse? 2 media and information experts explain. [Online]. The Conversation. October 29, 2021. Available at https://theconversation.com/what-is-the-metaverse-2-media-and-information-experts-explain-165731
7. Kishor S. The new world of metaverse and ownership via NFTs. [Online]. The Economic Times. 2021. Available at https://economictimes.indiatimes.com/markets/cryptocurrency/the-new-world-of-metaverse-and-ownership-via-nfts/articleshow/88086769.cms
8. Marr B. The top 5 metaverse trends in 2023. [Online]. Forbes. October 31, 2022. Available at https://www.forbes.com/sites/bernardmarr/2022/10/24/the-top-5-metaverse-trends-in-2023/?sh=fa 3217413883
9. Wankhede C. What is Web3? Is it the next-generation of the internet or just vaporware? [Online]. Android Authority. 2022. Available at https://www.androidauthority.com/what-is-web3-3095627/
10. Singh P. Metaverse technology: the future is here–simply explained. [Online]. 2023. tech-myarena.com. Available at https://tech-myarena.com/metaverse-technology-simple-complete-information/

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Abstract

n The power systems of modern computers, networking, and telecom equipment face formidable challenges due to the ongoing increase in power-density and efficiency requirements. Significant technological breakthroughs in system designs, devices and materials, topology optimization, and packaging/thermal design will be necessary to meet these objectives. To address these challenges, ongoing research and development efforts are being conducted in academia, industry, and government institutions. These efforts aim to revolutionize power system designs, improve energy efficiency, and meet the increasing power demands of contemporary computer, networking, and telecom equipment. This entails developing effective voltage regulators, power converters, and energy storage solutions, while also advancing control algorithms and intelligent power management methods to enhance power consumption optimization and minimize inefficiencies. This study identifies and briefly discusses the main technological issues and emerging trends in each of these important technological fields.n

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1. Vinciarelli P. Forward Converter Switching at Zero Current. U.S. Patent 4,415959, November 15, 1983. Available at http://www.uspto.gov/patft/index.html
2. Power Integrations, Inc., Company web site, Green Room page. Available at http://www.powerint.com/greenroom/index.html
3. Camiolo J, Scuderi G. Reducing the total no-load power consumption of battery and adapter applications. ST Technical Article. Available at http://www.st.com/stonline/books/pdf/docs/10825.pdf
4. Dhaval D. Boosting power supply efficiency for desktop computers. Power Electron Technol. 2005; February: 14–23. Available at http://powerelectronics.com/mag/power_boosting_power_s upply/index.html
5. Jovanović MM. Power supply technology–past, present, and future. InPower Conversion and Intelligent Motion China Conf. for Power Electronics (PCIM China) Shanghai, China 2007 Mar (pp. 3-15).
6. Malone C, Belady C. Metrics to characterize data center & IT equipment energy use. In: Proceedings of The Digital Power Forum, Dallas, TX, USA,. 2006.
7. Burkart K. Smart Computing could reduce IT power consumption by 50%. Available at http://www.mnn.com/green-tech/computers/blogs/smart-computing-could-reduce-it-power-consumption-by-50
8. Climate Saver Computing Initiative (CSCI) Program. Available at http://www.climatesaverscomputing.org/
9. Environmental Protection Agency (EPA) Energy Star Program. Available at http://www.energystar.gov/index.cfm?c=revision s.computer_spec
10. Kerby B. Advancing multi-core processing for high performance servers. In: Proceedings of the Digital Power Forum, Dallas, TX, USA, 2006.
11. Ramanathan RM, Agan A, Daniel A, Correia PA. Intel energy-efficient performance. White Paper. Available at ftp://download.intel.com/technology/eep/overview-paper.pdf
12. Pouchet J, Douglas D. The intelligently-adaptive data centers. In: Proceedings of the Digital Power Forum, Dallas, TX, USA, 2006.
13. Thaker M, Guz M. Adaptive/intelligent control and power management reduce power dissipation and consumption. In: Proceedings of the Digital Power Forum, Dallas, TX, USA, 2006.
14. Potter G. Digital capabilities for power management. In: Proceedings of the Digital Power Forum, Dallas, TX, USA, 2006.
15. System Management Interface Forum. Available at http://powersig.org/
16. Primarion (presently part of Infineon). Available at http://www.infineon.com/cms/en/product/index.html
17. Analog | Embedded processing | Semiconductor company. Ti.com. 2023. Available from: https://www.ti.com/
18. Registrant WHOIS contact information verification. Zilkerlabs.com. 2014. Available from: http://www.zilkerlabs.com/
19. Silicon Labs. Silabs.com. 2023. Available from: https://www.silabs.com/
20. Analog Devices. Mixed-signal and digital signal processing ICs | Analog Devices. Analog.com. 2022. Available from: https://www.analog.com/en/index.html
21. Xu M, Lee F. Future power architectures for servers and proposed technologies. In: Proceedings of the IBM Power and Cooling Symposium, Rochester, MN, USA, 2006.
22. Marquet D, San Miguel F, Gabillet JP. New power supply optimized for new telecom networks and services. In: Proceedings of the IEEE International Telecommunication Energy Conference (INTELEC), 1999. Paper 25-1.
23. Yamashita T, Muroyama S, Furubo S, Ohtsu S. 270 V dc system – a highly efficient and reliable power supply system for both telecom and datacom systems. In: Proceedings of the IEEE International Telecommunication Energy Conference (INTELEC), 1999. Paper PL 1–3.
24. Carlsson U, Flodin M, Åkerlund J, Ericsson Å. Powering the internet-broadband equipment in all facilities – the need for a 300 V dc powering and universal current option. In: Proceedings of the IEEE International Telecommunication Energy Conference (INTELEC), 2003. pp. 164–169.
25. Marquet D, Foucault O, Kervarrec G. New flexible powering architecture for integrated service operators. In: Proceedings of the IEEE International Telecommunication Energy Conference (INTELEC), 2005. pp. 575–580.
26. Gross P, Godrich KL. The future is dc. Energy Power Manage.2006; 31 (3).
27. Pratt A. Powering computer platforms in a high efficiency data center. In: Proceedings of the IBM Power and Cooling Symposium, Rochester, MN, USA, 2006.
28. Ton M, Fortenbery B, Tschudi B. Dc power for data centers – a demonstration. Lawrence Berkeley National Laboratory. Available at http://hightech.lbl.gov/dc-powering
29. Mulcahy G. Optimizing uninterruptible power for modern data processing equipment. In: Proceedings of the Digital Power Forum, Dallas, TX, USA, 2006.

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Abstract

n Mensmaven is a fashion and lifestyle content creator, reaching thousands of men and women every month through social media efforts. Mensmaven covers topics including menswear, lifestyle, grooming, and fitness. It is a blog-based website that gives practical style tips as well as approachable, honest, and relatable content for everyday men who are interested in menswear. A thrift store has also been created, which is a terrific place to get resale high-end goods and accessories at a fraction of the retail price.n

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1. Robson E, Freeman E. Head First HTML and CSS. Sebastopol, CA, USA: O’Reilly Media; 2012.
   2. Verou L. CSS Secrets: Better Solutions to Everyday Web Design. Sebastopol, CA, USA: O’Reilly
   Media; 2015.
   3. Haverbeke M. Eloquent JavaScript: A Modern Introduction to Programming. San Francisco, CA,
   USA: No Starch Press; 2011.
   4. Forbes A. The Joy of PHP Programming: A Beginner’s Guide to Programming Interactive Web
   Applications with PHP and MySQL. 5th edition. Newbury, MA, USA: Plum Island Publishing;
   2015.
   5. Cavusoglu L, Atik D. Making a career out of fashion blogging. In: 21st Marketing Congress:
   Marketing in the Digital World, Kütahya, Turkey, October 2016.
   6. Venkatasamy N. Fashion trends and their impact on the society. In: International Conference on
   Textiles, Apparels and Fashion, Coimbatore, India, September 2015.
   7. Nurfadila S, Riyanto S. Impact of Influencers in consumer decision process: the fashion industry.
   Interdiscipl J Law Soc Sci Humanities. 2020; 1 (1): 1–14.
   8. Bardhi F, Arnould E. Thrift shopping: combining utilitarian thrift and hedonic treat benefits. J
   Consumer Behav. 2005; 4: 223–233.
   9. shyami. 11 Free Photo Overlay Apps for Android & iOS 2023. [Online]. Techigem.com. May 14,
   2023. Available at https://techigem.com/free-photo-overlay-apps
   10. Saravanan D, Nithyaprakash V. Fashion trends and its impact on society. In: International
   Conference on Apparels and Fashion, Coimbatore, India, April 2016.

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