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Dec 2023-Jan 2024最新文献

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Development of AR Android Application for Disability and Elderly-Friendly Smart Home Control 开发方便残疾人和老年人控制智能家居的 AR Android 应用程序
Pub Date : 2023-12-20 DOI: 10.55529/ijitc.41.32.42
Dedi Heri Ansah Nst, Joko Sutopo
In the rapidly evolving era of technology, smart homes have become a significant trend. This research aims to develop a smart home control model through an Android augmented reality (AR) application using a marker-based method. The marker-based approach utilizes physical markers recognized by the application to project virtual objects into the real world. The developed application enables users, including individuals with disabilities and the elderly, to easily control various features in a smart home using their Android devices. Physical markers used as references in the AR application are identified. Once a marker is detected, virtual objects appear above it, allowing users to control lights, fans, and various smart home devices. Testing has shown that the AR application with the marker-based method can accurately recognize markers and provide quick responses to user commands. Users have also reported a positive interactive experience. This research represents an innovative contribution to the development of disability-friendly and elderly friendly smart home technology. It is expected that this technology will advance the creation of more inclusive, convenient, and efficient smart homes in the future.
在科技飞速发展的时代,智能家居已成为一种重要趋势。本研究旨在利用基于标记的方法,通过安卓增强现实(AR)应用程序开发一种智能家居控制模型。基于标记的方法利用应用程序识别的物理标记将虚拟对象投射到现实世界中。所开发的应用程序可让用户(包括残疾人和老年人)使用其安卓设备轻松控制智能家居中的各种功能。AR 应用程序中用作参考的物理标记会被识别。一旦检测到一个标记,虚拟物体就会出现在其上方,让用户可以控制电灯、风扇和各种智能家居设备。测试表明,采用基于标记的方法的 AR 应用程序能够准确识别标记,并对用户命令做出快速响应。用户也反映了良好的交互体验。这项研究为开发残疾人和老年人友好型智能家居技术做出了创新性贡献。预计这项技术将在未来推动创建更加包容、便捷和高效的智能家居。
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引用次数: 0
Multi-Level Pixel-Aligned Implicit Function for High- Resolution 3D Human Digitization 用于高分辨率三维人体数字化的多级像素对齐隐函数
Pub Date : 2023-12-20 DOI: 10.55529/jipirs.41.39.49
Prerna Shirish Kulkarni, Simran Raju Mulani, Shruti Shrikant Wagaj, G. B. Birajadar
Current strides of image dependent 3 dimension human outline estimation have progressed due to remarkable strides in depiction capabilities facilitated by deep NN. Despite the strides made in real-world applications, existing methods still fall short in generating reconstructions that match the intricate details often found in the original images. We posit that this deficiency primarily arises from the clash between two competing demands: accurate predictions necessitate extensive contextual information, while precise predictions hinge on higher resolutions. Owing to the limitations in current hardware memory, prior techniques have leaned towards utilizing low-resolution images to encompass broader spatial context, resulting in less precise or lower-resolution 3D estimations. To overcome this hurdle, we have devised multi layered algorithm that undergoes endwise training. At rough level, model comprehensively processes the entire image at a reduced resolution, emphasizing holistic reasoning. This coarse level furnishes essential context to a finer level, which focuses on estimating highly intricate geometries by scrutinizing higher-resolution images. Our research demonstrates a substantial enhancement in performance compared to prior methodologies, showcasing the superior capabilities of our approach.
由于深度近程网络(deep NN)在描绘能力方面的显著进步,依赖于图像的三维人体轮廓估算取得了长足进步。尽管在实际应用中取得了长足进步,但现有方法在生成与原始图像中常见的复杂细节相匹配的重建方面仍然存在不足。我们认为,这种不足主要源于两种相互竞争的需求之间的冲突:准确的预测需要广泛的上下文信息,而精确的预测则取决于更高的分辨率。由于当前硬件内存的限制,先前的技术倾向于利用低分辨率图像来涵盖更广泛的空间背景,从而导致三维估算不够精确或分辨率较低。为了克服这一障碍,我们设计了一种多层次的算法,这种算法需要经过端向训练。在粗略层面,模型以较低的分辨率全面处理整个图像,强调整体推理。这一粗略层次为更精细的层次提供了重要的背景,而更精细的层次则侧重于通过仔细检查更高分辨率的图像来估计高度复杂的几何形状。与之前的方法相比,我们的研究大大提高了性能,展示了我们方法的卓越能力。
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引用次数: 0
A Study of Internet Marketing in India: Challenges and Opportunities 印度互联网营销研究:挑战与机遇
Pub Date : 2023-12-14 DOI: 10.55529/ijitc.41.23.31
Dr. G. Anandhi
The internet and e-commerce have been among the fastest-growing technologies in recent years, and they have a significant impact on people's daily lives. E-marketing is one of the newest technologies in the IT and e-commerce domains. E-marketing is the process of promoting and selling goods and services online. It is sometimes referred to as online marketing, web-marketing, or Internet marketing (IM). E-marketing helps companies determine which target market to sell their goods and services to. It encompasses all practices and initiatives undertaken with the goal of attracting, locating, acquiring, and retaining customers. Since e-marketing facilitates internet-based, email-based, and wireless media marketing, it is believed to have a broad range of applications. Here, we carried out an investigation to ascertain the benefits and drawbacks of Internet marketing in India.
互联网和电子商务是近年来发展最快的技术之一,对人们的日常生活产生了重大影响。电子营销是信息技术和电子商务领域的最新技术之一。电子营销是在网上推广和销售商品和服务的过程。它有时也被称为在线营销、网络营销或互联网营销(IM)。电子营销有助于公司确定向哪个目标市场销售商品和服务。它包括所有以吸引、定位、获取和留住客户为目标的实践和举措。由于电子营销促进了基于互联网、电子邮件和无线媒体的营销,因此被认为具有广泛的应用范围。在此,我们开展了一项调查,以确定印度互联网营销的利弊。
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引用次数: 0
期刊
Dec 2023-Jan 2024
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