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J. R. D. Tata
J. R. D. Tata, commemorative postage stamp was originally issued by the Department of Posts on 29 November, 1994 on his first death anniversary. He is the first licensed pilot in India and awardee of numerous national and international honors. -
Dhirubhai H.Ambani
Dhirubhai H.Ambani commemorative postage stamp was originally issued by the Department of Posts on 28 December, 2002. The stamp was chosen in honor of his contributions in economic growth and regeneration of the country. -
150 Years of India Post
150 Years of India Post stamp was originally issued on 4 October 2004. The stamp is one among the set of four commemorative stamps, which marks the sesquicentennial year of the department of posts as it rededicates itself to the service of nation. On !st October 1854, India Post was born with a skeletal network of 701 post offices under the control of a Director General. -
Madhubala
Madhubala stamp was originally issued on 18 March, 2008. The Department of Posts issued the commemorative stamp on Madhubala, one of the most enduring legends of Indian cinematic history. -
Taj Mahal
Taj Mahal Stamp was issued on 16 December, 2004. The Department of Posts issued the commemorative postage stamp as the symbol of eternal love. It was printed by the Indian Security Press. -
Bhagawadgeeta
Bhagawadgeeta (the Divine Song of the Lord), stamp shows the traditional picture of Krishna and Arjuna on the battle field and a stanza 47 of chapter 2 of Bhagawadgeeta "Thy right id to work only, but never to its fruits". It was issued on August 25, 1978. -
Buddha
The stamp was originally issued on 2nd May 2007. -
Vande Mataram
Vande Mataram stamp was originally issued on 30 December, 1976. Indian Posts and Telegraphs department issued a commemorative postage stamp, honouring National song and the first stanza of Vande Mataram is imprinted. -
Republic of India 1950
Republic of India, Inauguration Jan 26, 1950 stamp was originally issued on 26 January 1950. A new series of Postage stamps commemorating the inauguration of the republic of India was issued by the Indian Posts and Telegraphs department. A boy and a girl watching the procession of cavaliers carrying flags and blowing trumpets which herald India's attainment of full nationhood. This stamp was intended for Inland Postage. -
Cricket Victories
This famous stamp was issued to commemorate India's historic tour of England in 1971. After losing only one match, India went on to win its first ever Test Series in a nail-biting finish. The stamp depicts a cricketer in characteristic poses of batting, bowling and wicket-keeping. -
India Gate - New Delhi
It is the 9th Gold Replica of the series of 25. It features India gate stamp. -
Stamp Ingot Collection
The Pride of India Collection is an official programme of Hallmark Group Limited issued under the Authority of India Post. It is the first Stamp Ingot Collection ever to be produced for India, and its release is strictly limited to 7500 editions worldwide. 25 stamps have been chosen to be preserved forever as engraved solid pure silver ingots, layered with pure 24-carat gold. -
Radha-Kishangarh
In 1778 the great exponent of the art of miniature painting, Nihal Chand, created the legendary face of the Kishangarh Radha, the quintessence of Indian womanhood and grace. -
1857 First World War of Independence
The stamp was issued to commemorate the 150th anniversary of the first World War of Independence in 2007. It shows the dramatic confrontation between zealous freedom fighters and the stolid ranks of hired Company infantry. -
Recent Advances in Pedestrian Identification Using LiDAR and Deep Learning Methods in Autonomous Vehicles
The myriad benefits of autonomous vehicles (AVs) encompassing passenger convenience, heightened safety, fuel consumption reduction, traffic decongestion, accident mitigation, cost-efficiency and heightened dependability have underpinned their burgeoning popularity. Prior to their full-scale integration into primary road networks substantial functional impediments in AVs necessitate resolution. An indispensable feature for AVs is pedestrian detection crucial for collision avoidance. Advent of automated driving is swiftly materializing owing to consistent deployment of deep learning (DL) methodologies for obstacle identification coupled with expeditious evolution of sensor and communication technologies exemplified by LiDAR systems. This study undertakes exploration of DL-based pedestrian detection algorithms with particular focus on YOLO and R CNN for purpose of processing intricate imagery akin to LiDAR sensor outputs. Recent epochs have witnessed DL approaches emerge as potentially potent avenue for augmenting real-time obstacle recognition and avoidance capabilities of autonomous vehicles. Within this scholarly exposition we undertake exhaustive examination of latest breakthroughs in pedestrian detection leveraging synergy of LiDAR and DL systems. This discourse comprehensively catalogues most pressing unresolved issues within realm of LiDAR-DL solutions furnishing compass for prospective researchers embarking on journey to forge forthcoming generation of economically viable autonomous vehicles. The Author(s), under exclusive license to Springer Nature Switzerland AG 2024. -
Economic aspects of marine biopolymers
The usage of synthetic polymers such as plastic is a much-debated topic across the globe for a reason; it is not recyclable and harms the environment. However, todays consumers have shifted their preferences to eco-friendly products over harmful products. The biopolymers market globally accounted for about $13.7 billion in 2021, and by 2030, its projected to reach over $35.2 billion, growing at 11.07% [compound annual growth rate (CAGR)]. By 2026, the marine biotechnology sector will be worth $5 billion worldwide. Despite the manufacturing cost of marine biopolymers being higher than that of standard polymers, the market is growing faster because of its benefits across various industries and mainly for stakeholders. The biopolymer industry has evolved due to the depletion of petroleum reservoirs. Key players from countries such as the United States, Brazil, Germany, Netherlands, Italy, United Kingdom, Japan, Germany, and Australia are in the biopolymers market. Different classes of marine biopolymers and their industrial applications prove the precious value of ocean resources to society. 2025 Elsevier Ltd. All rights reserved. -
A Intelligent Approach for Fault Detection in Solar Photovoltaic Systems based on BERT-BiGRU Network
Large-scale photovoltaic (PV) plant problem identification and diagnosis is expected to grow more difficult in the future as more and more plants of increasing capacity enter into existence. To keep large-scale PV installations safe, reliable, and productive, automatic identification and localization of any mal-operation among thousands of PV modules is necessary. In order to identify problems in PV plants, the suggested method compares the 'residuals' (fault indicator signals) generated by each string to a predetermined threshold. The suggested method relies on three distinct processes: data preparation, feature extraction, and model training. Preprocessing employs the method of Transform Invariant Low-rank Textures (TILT). The most useful and efficient measurements from feature extraction are kept while less important ones are discarded in favor of the Reduced Kernel PCA technique. Let's move on to model training with BERT-BiGRU. The proposed method is clearly superior compared to the two leading options, BERT and GRU. The proposed method had a 97.36% success rate. 2023 IEEE. -
Evaluation of Bending Stiffness of Transmission Line Conductors
Cables are made of helically wound wires and have a wide range of engineering applications. This thesis considers the use of such cables in overhead electrical power transmission lines. The loading on such cables is generally axial pull or tension and torsion. The oscillation of the overhead power transmission lines due to the wind or static bending in any applications, newlineintroduce an additional bending load on such cable assemblies and are subjected to varying newlinebending curvatures and results in reduction in bending stiffness. The effective stiffness of the cable assembly in its bent state varies widely between two extreme newlinebehaviours a monolithic infinite friction state offering the maximum stiffness and a newlinecompletely loose wire zero friction state offering the minimum thickness. Due to the wide variation of this extreme values, the estimation of the cable stiffness at any intermittent stage of bending has been quite challenging and is under continuous refinement. Though many mathematical models are stipulated in the last seven decades in cables, seldom they consider the influence of wire forces and moments about its normal, bi-normal, and axial directions together, in any analysis and evaluated the cable response. newlineThe dominant wire force and moments about the axial directions were never missed by many newlineauthors. Though the global behavior of the cable apparently seems to be all right even with the omission of some forces/moments, the mechanism of its constituent wires needs a fully proven scientific explanation that predicts the local behavior also correctly. The ultimate response of the cable will be complete when accurate theories are attributed for the global and local newlinebehaviours. Hence, this research work addresses the complete mechanics of the helically wound cables and considers the influence of wire forces and moments, in all the three directions, together in the newlineanalysis and evaluates the cable response. -
Impact of Artificial Intelligence on Business Strategy and Decision-Making
Market analysis as knowledge-enhancement function, its use in internal politics, its abuse, and its ability to generate market understanding were recognised as the four key performance variables in market analysis. Profitability and bottom line may be increased, inefficiencies in corporate processes can be reduced, and other hidden insights can be uncovered by analyzing financial accounting transactions. The research focuses on the business strategy in decision-making using artificial intelligence. Reviewing existing research and providing recommendations. In this study, firstly collect the dataset finance data from Kaggle for the better-trained model. After that perform the pre-processing data for outlier removal. The implementation work is complete on the Python programming language. The results showed that the proposed KNN, the Decision tree model, achieved high accuracy. Businesses and organisations working in the field of artificial intelligence (AI) might greatly benefit from this research in terms of narrowing down the profiles that are certain to avoid in the future. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024. -
Applying Artificial Bee Colony Algorithm to Improve UWSNs Communication
The research in this study aims at implementing the ABC algorithm to enhance the communication within UWSNs. The ABC algorithm, motivated by the CPG approach being analogous to that of honey bees searching for food, specifies optimal values for critical parameters of the network such as energy consumption, reliability in data transfer, and scalability. From the analyses conducted in this exposition, it is apparent that the envisaged methodology outperforms other conventional routing parlances in the following ways: minimal energy usage, high data delivery ratios, low packet drops, and longest network lifetime. Therefore, from the above results it can be concluded that, the said ABC algorithm is helping in achieving a better result in terms of improved underwater communication as well as in mitigating with the difficulties of UWSNs. 2024 IEEE.