An adaptive quasi harmonic broadcasting scheme with optimal bandwidth requirement

The aim of Harmonic Broadcasting protocol is to reduce the bandwidth usage in video-on-demand service where a video is divided into some equal sized segments and every segment is repeatedly transmitted over a number of channels that follows harmonic series for channel bandwidth assignment. As the bandwidth of channels differs from each other and users can join at any time to these multicast channels, they may experience a synchronization problem between download and playback. To deal with this issue, some schemes have been proposed, however, at the cost of additional or wastage of bandwidth or sudden extreme bandwidth requirement. In this paper we present an adaptive quasi harmonic broadcasting scheme (AQHB) which delivers all data segment on time that is the download and playback synchronization problem is eliminated while keeping the bandwidth consumption as same as traditional harmonic broadcasting scheme without cost of any additional or wastage of bandwidth. It also ensures the video server not to increase the channel bandwidth suddenly that is, also eliminates the sudden buffer requirement at the client side. We present several analytical results to exhibit the efficiency of our proposed broadcasting scheme over the existing ones.Comment: IEEE International Conference on Informatics, Electronics & Vision (ICIEV), 2013, 6pages, 8 figure

One size does not fit all - multimodal search on mobile and desktop devices with the I-SEARCH search engine

International audienceIn this paper, we report on work around the I-SEARCH EU (FP7 ICT STREP) project whose objective is the development of a multimodal search engine targeted at mobile and desktop devices. Each of these device classes has its speci c hardware capabilities and set of supported features. In order to provide a common multimodal search experience across device classes, one size does not t all. We highlight ways to achieve the same functionality agnostic of the device class being used for the search, and present concrete use cases

Emergent Behavior in Massively-Deployed Sensor Networks

The phenomenal advances in MEMS and nanotechnology make it feasible to build small devices, referred to as sensors that are able to sense, compute and communicate over small distances. The massive deployment of these small devices raises the fascinating question of whether or not the sensors, as a collectivity, will display emergent behavior, just as living organisms do. In this work we report on a recent effort intended to observe emerging behavior of large groups of sensor nodes, like living cells demonstrate. Imagine a massive deployment of sensors that can be in two states red and blue . At deployment time individual sensors have an initial color. The goal is to obtain a uniform coloring of the deployment area. Importantly, the sensors can only talk to sensors that are one-hop away from them. The decisions to change colors are local, based on what the sensors can infer from collecting color information from their neighbors. We have performed extensive simulations involving 20,000 sensors in an area of 100 m x 100 m. Our simulation results show that the sensor network converges to a stable uniform coloring extremely fast

I-SEARCH: a unified framework for multimodal search and retrieval

In this article, a unified framework for multimodal search and retrieval is introduced. The framework is an outcome of the research that took place within the I-SEARCH European Project. The proposed system covers all aspects of a search and retrieval process, namely low-level descriptor extraction, indexing, query formulation, retrieval and visualisation of the search results. All I-SEARCH components advance the state of the art in the corresponding scientific fields. The I-SEARCH multimodal search engine is dynamically adapted to end-user's devices, which can vary from a simple mobile phone to a high-performance PC

The Implementation of Artificial Intelligence in Project Management

Successful Project Management plays a more than ever before central and crucial role in Smart City Planning and Operations in times of multiple examples of public funded major project, which could only be realized paired by cost explosions and long expanded timelines. The central idea for this research is to implement the current achievements of Artificial Intelligence resulting in innovative Project Management. The implementation of Artificial Intelligence (AI) in Project Management (PM) has gained significant attention, with roots dating back to 1987 but experiencing recent advancements in machine learning and data analytics. AI has the potential to revolutionize project management, affecting planning, scheduling, risk management, and decision-making. However, its impact on working personnel remains a debated topic. This thesis explores the impact of Artificial Intelligence (AI) on project management, specifically focusing on its effects on employees. It aims to understand how AI adoption can enhance project management processes, improve certain areas of PM, and boost productivity, while also addressing ethical concerns. The research combines literature analysis and semi-structured interviews with project managers from Europe and India to investigate the advantages and challenges of integrating AI in project management. It highlights benefits such as workload reduction, better decision-making, and access to insightful data through AI-driven analytics. Moreover, the study underscores the importance of addressing ethical issues like algorithmic bias, data privacy, and decision-making transparency associated with AI adoption. It emphasizes the need for providing proper training and support to team members to ensure successful AI utilization and mitigate potential opposition or anxiety among project stakeholders. Overall, this research contributes to the ongoing discourse on AI's role in project management by emphasizing its benefits for employees. It aims to provide insights into AI integration to guide future strategies while prioritizing ethical considerations and ensuring the effectiveness and well-being of project management teams

I-SEARCH - a multimodal search engine based on rich unified content description (RUCoD)

International audienceIn this paper, we report on work around the I-SEARCH EU (FP7 ICT STREP) project whose objective is the development of a multimodal search engine. We present the project's objectives, and detail the achieved results, amongswhich a Rich Unified Content Description format

An approach for analysing and segmenting messages about the SDGs on Twitter from the perspective of social marketing

Se ha publicado una corrección de este artículo en: International Review on Public and Nonprofit Marketing, (2023), 20, 3, (635-658), DOI: 10.1007/s12208-023-00369-3This descriptive study aims to identify the most published SDGs by @GlobalGoalsUN, the United Nations' official account for sustainable development goals, and elaborate the segmentation profiles of these messages that promote a more significant impact from the perspective of social marketing and happiness. With more than 345 million active users in 2022, Twitter is a relevant social media tool for researching and knowing public reactions. In order to identify the most relevant SDGs, we have downloaded tweets from January 1, 2021, to September 30, 2022. The segmentation profiles have been elaborated with the classification tree using the division method called CHAID (Chi-square automatic interaction detector), which allows the automatic detection of interactions through Chi-square. This technique has made it possible to identify four homogeneous sub-samples corresponding to the segmentation profiles of messages based on impact, social marketing and happiness. The results of these profiles show the categories of the variables that best distinguish the messages. In addition, it has been verified that the most published SDGs do not coincide with those that have achieved the greatest impact. The climate has been the most published SDG (SDG 13 Climate action), but the one that has obtained the most significant reaction from the public has been the SDG related to well-being (SDG 3 Health and well-being). The most popular format has been video, the most recurrent emotional tone has been neutral, and, about social marketing, a category of action messages stands out, unlike behavioural ones, which do not specify the indications to carry out a specific initiative.24 página

Emergent Behavior in Massively-Deployed Sensor Networks

The phenomenal advances in MEMS and nanotechnology make it feasible to build small devices, referred to as sensors that are able to sense, compute and communicate over small distances. The massive deployment of these small devices raises the fascinating question of whether or not the sensors, as a collectivity, will display emergent behavior, just as living organisms do. In this work we report on a recent effort intended to observe emerging behavior of large groups of sensor nodes, like living cells demonstrate. Imagine a massive deployment of sensors that can be in two states "red" and "blue". At deployment time individual sensors have an initial color. The goal is to obtain a uniform coloring of the deployment area. Importantly, the sensors can only talk to sensors that are one-hop away from them. The decisions to change colors are local, based on what the sensors can infer from collecting color information from their neighbors. We have performed extensive simulations involving 20,000 sensors in an area of 100 m × 100 m. Our simulation results show that the sensor network converges to a stable uniform coloring extremely fast