Essays about: "Multi-device"
Showing result 1 - 5 of 6 essays containing the word Multi-device.
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1. Outlier Robustness in Server-Assisted Collaborative SLAM : Evaluating Outlier Impact and Improving Robustness
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : In order to be able to perform many tasks, autonomous devices need to understand their environment and know where they are in this environment. Simultaneous Localisation and Mapping (SLAM) is a solution to this problem. READ MORE
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2. Designing digital instructions for setting up multi-device services
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Digital services are increasingly offered across multiple devices for a single user. A challenge for users is that multi-device services are more complex to use. While instructions are supposed to facilitate ease of use of the services, poorly designed instructions become obstacles themselves. READ MORE
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3. An Open and Nonproprietary Decentralized Messaging Protocol : Operating Entirely on the Internet Computer Blockchain
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Even when end-to-end encryption is used in centralized messaging services, problems related to security, privacy, availability, and transparency remain. These problems can be avoided or reduced by using a decentralized architecture. READ MORE
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4. User access control platform based on simple IoT household devices
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The Internet of Things (IoT) industry has been thriving for the past few years, especially in the household field. The proposal of smart homes has enabled a increasing number of IoT products to enter people’s daily lives. However, the access control in smart homes has gradually grown up to be a prominent problem. READ MORE
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5. Random projections in a distributed environment for privacy-preserved deep learning
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The field of Deep Learning (DL) only over the last decade has proven useful for increasingly more complex Machine Learning tasks and data, a notable milestone being generative models achieving facial synthesis indistinguishable from real faces. With the increased complexity in DL architecture and training data, follows a steep increase in time and hardware resources required for the training task. READ MORE