A new method is proposed for optimizing the performance of Hadamard coded modulation (HCM)based systems in visible light communication. Prior to HCM, PSK was used in Wireless Optical Communication (WOC) for data modulation whereas HCM was used as precoder in PSK systems. But the constraint of optical sources used lead to signal distortion at the output. Hence HCM is used as an alternative technique for systems that require high average power. Here data is modulated using Fast Walsh Hadamard Transform. On-off keying (OOK) along with thresholding method is applied to the HCM system for improving its performance. Both the existing and modified system performance is evaluated in terms of various performance parameters. There are numerous modulation methods appropriate for optical wi-fi verbal exchange. OOK, PPM are adopted widely in optical wireless conversation foe its high average-strength-performance. DPPM, DPIM are new modulation techniques for optical wireless verbal exchange, which may be the substitutes of PPM due to their better performance in strength performance and bandwidth performance. On this system in mixture of the feature of the atmospheric optical VLC channel, the bandwidth efficiency, transmission capability, power efficiency and slot errors fee of the everyday modulation schemes as OOK, PPM, DPPM and DPIM for atmospheric optical wi-fi communications are analyzed. Theoretical evaluation and simulation outcomes by using MATLAB display that DPPM, DPIM and DH-PIM are extra relevant for the destiny optical wireless verbal exchange.

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In present scenario environmental focus of human beings approximately natural products, renewable nature of substances, much less environmental damage and sustainability of the natural merchandise has further revived the usage of herbal dyes in dyeing of fabric materials. Natural dyes are having some inherent advantages fabric-based handicraft industries in many countries engaged local humans to dye textile yarn with herbal dyes and weave them to produce strong point fabrics Turkish carpets are known for their beauty made with herbal dyes. The main importers of natural dyes are the United States and the EUT. The synthetic chemical dye reasons many unfavorable effects on the skin and additionally environmental unfriendly considering, herbal loss of life strategies used by the humans wishes revival, therefore this have a look at become undertaken and was targeted on death homes of plants of Peltophorum pterocarpum Mentha piperita L.Crossandra infundibuliformis.

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Procurement management is a strategic approach to optimizing organizational spend. It invoices sourcing, requisitioning, ordering, inspection, and reconciliation. It means acquiring your goods and services from preferred vendors, within your determined budget, either on or before the deadline. The ACE Group is one of the leading producers of Acoustic Enclosure, Base Skids, Transformer, the core values of ACE are trust, honesty, responsibility, professionalism, appreciation. These are the main values for success of a company. ACE turnover and gross profit have shown a noteworthy growth, profit before tax increased significantly by 46% as compared to previous year. Profit after tax increased by 48% and earning per share reflect the same trend. During my six -week internship period I studied several documents of company along with other documents describing regulations and guidelines which are necessary for the effective working of multinational company.

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Machine learning techniques have the potential to revolutionize the agriculture industry by optimizing farming practices, increasing crop yield, and reducing environmental impact. Farmers can use machine learning algorithms to predict crop yield, recommend crop rotation schedules, fertilizer types and amounts, irrigation schedules, and pest and disease management options. Predicting crop yield is critical for farmers to make informed decisions about planting, fertilizing, and harvesting. Machine learning algorithms can analyze a range of data, including soil type, weather patterns, and historical yield data, to predict crop yield accurately. By optimizing their farming practices, farmers can maximize their yield, minimize their costs, and reduce their environmental impact. In addition to predicting crop yield, machine learning algorithms can recommend the optimal crop rotation schedule, fertilizer type and amount, and irrigation schedule for a particular region. By analyzing soil composition, nutrient levels, and weather patterns, farmers can maximize their yield while minimizing their costs and environ- mental impact. Machine learning can also help farmers manage pests and diseases more effectively by identifying the signs of pests and diseases based on images of crops and recommending treatment options. This information can help farmers to quickly and effectively manage pests and diseases, reducing crop damage and increasing yield. Finally, machine learning techniques can optimize the supply chain in the agriculture industry by analyzing data on crop yields, weather patterns, and consumer demand. By identifying the optimal time to plant, harvest, and transport crops, farmers can maximize their profits and minimize waste. In conclusion, machine learning techniques can help ensure a sustainable future for the agriculture industry by optimizing farming practices, increasing crop yield, and reducing environmental impact. As the world faces increasingly complex challenges, it is more important than ever that the agriculture industry embraces innovative solutions.

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The goal of the project is to select the most cost-effective truss for use in warehouses, workshops, light and medium engineering industries, and process industries. By doing this, a great deal of time will be saved in setting up an industry, leading to increased production. Indirectly, this would boost the nation's economy as a whole. Since it would largely relieve from the repetitive and routine calculations, this would also aid in the orderly use of structural engineering. Thus, the engineer's time could be better spent considering less expensive and more creative options. Ten pitched roof trusses in all are compared in this work. For a span of 12 m and an interval of 6 m, the analysis and design outcomes of steel roof trusses are presented. Double Howe, Double Fink, Fan, Fink, Pratt, Queen post, Fink-2, Multi panel, Attic, and Piggyback truss configurations are used. The provided roof truss slope of 180 is generally advised as it shouldn't present any fabrication issues. For wind zones I to VI, roof truss analysis is conducted. The relevant Indian standards have been used as the basis for the analysis and design. Trusses make use of box sections. A comparison is made between axial force, shear force, weight, and cost in members. Additionally, these trusses' axial and shear forces are contrasted. The outcome demonstrates that the Pratt truss is more cost-effective than other trusses taken into account. The Fink-2 type truss, on the other hand, is more expensive and heavier than other trusses.

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Society is currently facing a highly complicated issue in the form of fake news. The problem has been exacerbated by the ease with which false information can spread via social media. It is crucial to identify fake news as soon as possible to prevent negative consequences for those who may rely on such information when making important decisions, such as during presidential elections. A ground-breaking approach that uses machine learning methods has been developed for fake news detection. Our studies have shown that the proposed approach, which incorporates algorithms like Random Forest and KNN, can accurately classify results. This algorithm is passive, but becomes active in the event of a miscalculation, updating and adjusting to correct errors with minimal impact on outcomes. The solution has been tested and has achieved an accuracy rate of approximately 96%.

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This research looks at possibilities for incorporating indigenous craft into building to create fresh narratives about identity and culture. The paper questions whether architecture can be a way to revive traditional craftsmanship, not only to help artisans but also to give the country's various regional flavors a distinctive character. By displaying the beauty and diversity of their skills, it seeks to reclaim an area that belonged to artisans ages ago. According to the paper, fusing the aesthetics of craft and building creates a fresh creative space for coming up with design concepts that can be used for projects of all sizes, from modest abodes to massive installations. Craft blending into architecture not only supports artisans' livelihoods but also revitalizes the region's cultural heritage, making it a valuable addition to modern design practice.

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India is land of versatile whether where inconsistency in rain is frequent. So as an option of having a back-up for water needs, one system becomes necessary which provides much saving of water; would be helpful in reducing wastage of water. Although rainwater harvesting (RWH) is gaining popularity as a sustainable water saving system in urban as well as rural areas, estimating required storage area for water remains an important design challenge so we are going to design an effective plan by which we can collect rain water into a storage for a particular campus and we are also going to make a design by which we can collect water to the ground and use it for a domestic purpose.

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A project called "Web Application for Training and Placement Cell" is a student-campus information system. TPO database-based management system plays a central role in most universities, the work has been done manually. The goal is to perform automatic training and placement. University. This application reduces manual work and maximizes optimization, abstraction and security. The web application helps the students as well as the administrators with doing all the activities and recruiting on campus. This software can be used for university education and placement cells to manage students. Information about placement students can view the eligibility criteria based on percentage, participating in upcoming placement drives and get access to technical and company-specific questions. It has the ability to maintain student details and reduce manual work. A training and placement officer (TPO) can display information about students, collect resumes and many additional features.

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A central objective of the stone column technique to ground improvement is to strengthen porous soil layers. Stone columns are practically more capable of supporting themselves on soils. Stone columns have been shown to have a larger impact on improving soil strength and load bearing capacity in low strength soils. The behaviour of columns in soil was investigated using a tank in a series of laboratory plate load tests. Crushed coconut shell, a waste product, is employed in this work as filler. The length of the crushed coconut shell column—10, 15, 20, and 25 cm—and its 3 cm diameter as stone column used for the study. A plate load test was performed on the aforementioned variations, and the settlement and load carrying capability of the diameter and various lengths of the column were obtained. A numerical study on the above said cases were also performed and the result was obtained. From the results, a comparison between the settlement and load carrying capacities of columns with a 3 cm diameter of various lengths was discovered.

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Detecting human behavior growing in importance in recent years Wide range of applications spread across different applications fields. Awareness of human behavior plays an important role in this People-to- people exchanges and interpersonal relationships since relationships provide information about identity, personality and mental state of the person. of the human ability to perceive the activities of others one of the major subjects in the natural sciences computer vision and machine learning This research applies to many applications such as video surveillance systems, human-computer interaction, Several duty-free game systems are required action recognition system. Recognition of human behavior it also has very important uses in security systems set up in public places to track down suspects activity or threat. The purpose of this project is Algorithms that can recognize actions such as jogging, crouching, bowling, jumping, kicking, running, etc. Input video sequence. Numerous actions in Video sequences are recognized in each pass Frames of a video sequence.

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In traffic surveillance systems, where effective traffic control and security are the main considerations, vehicle recognition and tracking play a vital and effective role. We explore and handle the problem of extracting vehicle and traffic information from video frames in this report. Even though numerous studies have been conducted and numerous approaches have been used, there is still potential for advancement in this field. Despite the fact that numerous studies and methodologies have been adopted in this field, there is still space for improvement. For observing, Organising, and managing traffic flow, passing car identification, examining, and counting are vital. In contrast to previous methods, a video-based solution is simple to deploy and does not impede traffic. In this project, a video-based solution is developed after analysing a series of traffic footage captured by a camera and using adaptive subtracted background technology, virtual detector technology, and blob tracking technology. Experiments were carried out using Visual Python code and OpenCV development kits, and the results show that the proposed method may precisely identify, follow, and quantity moving autos.

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