This report explores transfer learning-based bottle recognition algorithms, aiming to improve the performance of bottle recognition tasks by utilizing pre trained model knowledge on large-scale datasets. We adopt the idea of transfer learning and apply deep learning models trained on image classification tasks to bottle recognition tasks, achieving more efficient feature extraction and model training.

Keywords: - Transfer Learning, Recognition, Bottle, Deep Learning.

[1]. Pan, S. J., & Yang, Q. (2010). "A survey on transfer learning." IEEE Transactions on Knowledge and Data Engineering, 22(10), 1345-1359.
[2]. Tan, C., Sun, F., Kong, T., Zhang, W., Yang, C., & Liu, C. (2018). "A survey on deep transfer learning." In International Conference on Artificial Neural Networks (pp. 270-279).
[3]. Weiss, K., Khoshgoftaar, T. M., & Wang, D. (2016). "A survey of transfer learning." Journal of Big Data, 3(1), 9.
[4]. Yosinski, J., Clune, J., Bengio, Y., & Lipson, H. (2014). "How transferable are features in deep neural networks?" Advances in Neural Information Processing Systems (NeurIPS).
[5]. Donahue, J., Jia, Y., Vinyals, O., Hoffman, J., Zhang, N., Tzeng, E., & Darrell, T. (2014). "DeCAF: A deep convolutional activation feature for generic visual recognition." Proceedings of the International Conference on Machine Learning (ICML).

Metalenses working in a single wavelength have been very common and can achieve high focusing efficiencies. However, for double or multi-wavelength metalenses, the focusing efficiencies are different at different wavelengths and are not all high. In this letter, we propose a new method to modulate the focusing efficiencies of double-wavelength metalens at both wavelengths, that is, to relax the requirement of the proximity between the phase imposed by the dielectric metalens and the target focusing phase. This method offers a new way for improving the focusing efficiencies on multi-wavelength metasurface design.

Index terms: Metalens, Phase modulation, Focusing efficiency.

[1]. Chen, S., Liu, W., Li, Z., Cheng, H., & Tian, J. (2020). Metasurface-empowered optical multiplexing and multifunction. Advanced Materials, 32(3), 1805912.
[2]. Zhou, Y., Guo, Z., Zhao, X., Wang, F., Yu, Z., Chen, Y.,& Wu, X. (2022). Dual-Quasi Bound States in the Continuum Enabled Plasmonic Metasurfaces. Advanced Optical Materials, 10(19), 2200965.
[3]. Zheng, C., Li, J., Liu, J., Li, J., Yue, Z., Li, H.,& Yao, J. (2022). Creating longitudinally varying vector vortex beams with an all-dielectric metasurface. Laser & Photonics Reviews, 16(10), 2200236.
[4]. Yue, Z., Li, J., Liu, J., Li, J., Zheng, C., Wang, G., & Yao, J. (2022). Versatile polarization conversion and wavefront shaping based on fully phase-modulated metasurface with complex amplitude modulation. Advanced Optical Materials, 10(16), 2200733.
[5]. Pan, M., Fu, Y., Zheng, M., Chen, H., Zang, Y., Duan, H., & Hu, Y. (2022). Dielectric metalens for miniaturized imaging systems: progress and challenges. Light: Science & Applications, 11(1), 195.

This paper determined the effect of cost trends of building materials (cement, reinforcement bars (16mm, 12mm, 10mm and 8mm), river sand, plaster sand, quarry stone (12mm-19mm aggregate and 25mm aggregate) and blocks) on rental value of residential properties (single room apartment, single room apartment ensuite, one bedroom apartment, two bedrooms apartment and three bedrooms apartment) in Enugu State, Nigeria from 2010-2022. The study was conducted using existing literature and field survey. Market survey were conducted in the two major building material markets in Enugu State; Enugu South International Building Material Market (New Kenyatta) in Enugu South Local Government Area and Enugu East Building Material Market, Abakpa, in Enugu East Local Government Area........

Keywords: - Cost, trend, Building materials, Rental values, Residential properties.

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[2]. Aibinu, A. A., & Jagboro, G. O. (2002). The effects of construction delays on project delivery in Nigerian construction industry. International Journal of Project Management, 20, 593-599.
[3]. Akanni, P.O., Oke, A.E. & Akpomiemie, O.A. (2014). Impact of Environmental Factors on Building Project Performance in Delta State, Nigeria. HBRC Journal. 11(1), 91-97
[4]. Akanni, P., Oke, A. and Omotilewa, O. (2014). Implications of Rising Cost of Building Materials in Lagos State Nigeria. SAGE Open. 4, 1-7.
[5]. Anosike, P. (2009). Nigerian groans under high cost of building material. The Daily Sun. 6th April, 2009, pp. 38-39.

A CH3NH3PbI3-xClx perovskite based device has been simulated to analyze its performance as solar cell and photodetector. The device shows high power conversion efficiency and open circuit voltage as a solar cell. It is shown that the thickness of perovskite absorber and the choice of electrode material have significant impact on the performance of the perovskite solar cell. The maximum power conversion efficiency of 22.7% and open circuit voltage of 1.13V is obtained after optimization of the device parameters..........

Keywords: - Perovskite, Solar Cell, Photodetector.

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[2]. Like Huang , Xiaoxiang Sun , Chang Li , etal., Electron transport layer-free planar perovskite solar cells: Further performance enhancement perspective from device simulation, Solar Energy Materials and Solar Cells 157(2016) 1038-1047.
[3]. Rahul Pandey, Rishu Chaujar, Numerical simulations: Toward the design of 27.6% efficient four-terminal semi transparent perovskite/SiC passivated rear contact silicon tandem solar cell, Superlattices and Microstructures (2016) 1-11.
[4]. Giles E. Eperon, Samuel D. Christopher Menelaou, et al. Formamidinium lead trihalide: a broadly tunable perovskite for efficient planar heterojunction solar cells, Energy Environ. Sci., 2014, 7, 982.
[5]. Kai Tan, Peng Lin, Gang Wang, etal., Controllable Design of Solid-State Perovskite Solar Cells by SCAPS Device Simulation, Solid-State Electronics (2016).

The success and widespread use of artificial intelligence (AI) has raised awareness of the economic, social, and political implications of this technology. Each new step in the development and application of AI is accompanied by speculation about an allegedly imminent but largely fictional artificial general intelligence (AGI) with (super) human capabilities, as evidenced by the unfolding discourse on the capabilities and implications of large-scale language models (LLMs) in the wake of Chat GPT. These far-reaching expectations lead to a discussion of the social and political implications of AI that is largely dominated by fuzzy fears and enthusiasm. In contrast, this article provides a framework for a more focused and productive..........

Keywords: - AI on democracy in an interdisciplinary effort of computer'', '' large-scale language models'', ''autocratic systems of government.

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Egg incubation is a critical process in the poultry industry. It plays a vital role in the production of chicks for business including meat and egg production. Egg incubation has come a long way from the conventional approach of suing broody hens to the use of modern scientific approach of artificial egg incubation. Egg incubators are those devices which are designed to simulate the natural process of egg hatching by controlling the incubation parameters such as temperature, humidity etc. These machines can be used in industries as well as by hobbyists. In this paper, a power efficient low-cost chicken egg incubator was designed using a 100 W filament lamp, an ESP 32 microcontroller, DHT 11 temperature sensor and humidifier..........

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[3]. L. M. G. Hitu Mittal, "Design and development of infant incubator for controlling multiple parameters," International Journal of Engineering Trends in Electrical and Electronics, pp. 65-78, 2015.
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Grapes are an indispensable raw material for the production of alcoholic beverages, raisins or for direct consumption. In order to be able to process it, it is necessary to tear off the ripe grapes from the plant and transport them to the place of processing. Large arrays are processed by machine. Small arrays (mostly family heirlooms) are handpicked by family and friends. There is no data on the volume of transport operations for this organization. The volume of transport operations for a 7da vineyard is 7.675 t.km.

Keywords: - Grape, technology, transport, volume of transport operations

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