Search Results - "2019 IEEE International Conference on Smart Computing (SMARTCOMP)"

Overcoming the Lack of Labeled Data: Training Intrusion Detection Models Using Transfer Learning by Singla, Ankush, Bertino, Elisa, Verma, Dinesh

“…Deep learning (DL) techniques have recently been proposed for enhancing the accuracy of network intrusion detection systems (NIDS). However, keeping the DL…”
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BRUSCHETTA: An IoT Blockchain-Based Framework for Certifying Extra Virgin Olive Oil Supply Chain by Arena, Antonio, Bianchini, Alessio, Perazzo, Pericle, Vallati, Carlo, Dini, Gianluca

“…Urban population is expected to continuously grow in size. The smart city concepts allows to handle the new challenges and issues created by this growth by…”
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kBot: Knowledge-Enabled Personalized Chatbot for Asthma Self-Management by Kadariya, Dipesh, Venkataramanan, Revathy, Yip, Hong Yung, Kalra, Maninder, Thirunarayanan, Krishnaprasad, Sheth, Amit

“…There is a well-recognized need for a shift to proactive asthma care given the impact asthma has on overall healthcare costs. The demand for continuous…”
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On the Use of LSTM Networks for Predictive Maintenance in Smart Industries by Bruneo, Dario, De Vita, Fabrizio

“…Aspects related to the maintenance scheduling have become a crucial problem especially in those sectors where the fault of a component can compromise the…”
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Indoor Person Identification and Fall Detection through Non-intrusive Floor Seismic Sensing by Clemente, Jose, Song, WenZhan, Valero, Maria, Li, Fangyu, Liy, Xiangyang

“…This paper presents a novel in-network person identification and fall detection system that uses floor seismic data produced by footsteps and fall downs as an…”
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Towards Reliability in Online High-Churn Edge Computing: A Deviceless Pipelining Approach by Vance, Nathan, Rashid, MD Tahmid, Zhang, Daniel, Wang, Dong

“…Social sensing based Edge Computing (SSEC) is an emerging application paradigm for rich context awareness in sensing applications in which people collaborate…”
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A Reference Architecture for Smart and Software-Defined Buildings by Mazzara, Manuel, Afanasyev, Ilya, Sarangi, Smruti R., Distefano, Salvatore, Kumar, Vivek, Ahmad, Muhammad

“…The vision encompassing Smart and Software-defined Buildings (SSDB) is becoming more popular and its implementation is now more accessible due to the…”
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Developing Machine Learning Based Predictive Models for Smart Policing by Elluri, Lavanya, Mandalapu, Varun, Roy, Nirmalya

“…Crimes are problematic where normal social issues are confronted and influence personal satisfaction, financial development, and quality-of-life of a region…”
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Mechanisms for Integrated Feature Normalization and Remaining Useful Life Estimation Using LSTMs Applied to Hard-Disks by Basak, Sanchita, Sengupta, Saptarshi, Dubey, Abhishek

“…In this paper we focus on application of data-driven methods for remaining useful life estimation in components where past failure data is not uniform across…”
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LightChain: On the Lightweight Blockchain for the Internet-of-Things by Doku, Ronald, Rawat, Danda B., Garuba, Moses, Njilla, Laurent

“…The Internet of Things (IoT) and the blockchain are justly regarded as the technology for the future. The blockchain is a Distributed Ledger Technology (DLT)…”
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Relevancy Classification of Multimodal Social Media Streams for Emergency Services by Nalluru, Ganesh, Pandey, Rahul, Purohit, Hemant

“…Social media has become an integral part of our daily lives. During time-critical events, the public shares a variety of posts on social media including…”
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fABElous: An Attribute-Based Scheme for Industrial Internet of Things by La Manna, Michele, Perazzo, Pericle, Rasori, Marco, Dini, Gianluca

“…The Internet of Things (IoT) is a technological vision in which constrained or embedded devices connect together through the Internet. This enables common…”
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Demonstration of Federated Learning in a Resource-Constrained Networked Environment by Conway-Jones, Dave, Tuor, Tiffany, Wang, Shiqiang, Leung, Kin K.

“…Many modern applications in the area of smart computing are based on machine learning techniques. To train machine learning models, a large amount of data is…”
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DeepCEP: Deep Complex Event Processing Using Distributed Multimodal Information by Xing, Tianwei, Roig Vilamala, Marc, Garcia, Luis, Cerutti, Federico, Kaplan, Lance, Preece, Alun, Srivastava, Mani

“…Deep learning models typically make inferences over transient features of the latent space, i.e., they learn data representations to make decisions based on…”
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Smart Assistance for Students and People Living in a Campus by Gaglio, Salvatore, Lo Re, Giuseppe, Morana, Marco, Ruocco, Claudio

“…Being part of one of the fastest growing area in Artificial Intelligence (AI), virtual assistants are nowadays part of everyone's life being integrated in…”
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Hybrid SDN Control in Mobile Ad Hoc Networks by Poularakis, Konstantinos, Qin, Qiaofeng, Marcus, Kelvin M., Chan, Kevin S., Leung, Kin K., Tassiulas, Leandros

“…Software defined networking (SDN) can be beneficial in mobile ad hoc networks (MANETs) to increase flexibility, provide programmability and simplify…”
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On the Feasibility of Attribute-Based Encryption on Constrained IoT Devices for Smart Systems by Girgenti, Benedetto, Perazzo, Pericle, Vallati, Carlo, Righetti, Francesca, Dini, Gianluca, Anastasi, Giuseppe

“…The Internet of Things (IoT) is enabling a new generation of innovative services based on the seamless integration of smart objects into information systems…”
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A Novel Smart System for Contaminants Detection and Recognition in Water by Ferdinandi, Marco, Molinara, Mario, Cerro, Gianni, Ferrigno, Luigi, Marroco, Claudio, Bria, Alessandro, Di Meo, Pino, Bourelly, Carmine, Simmarano, Roberto

“…Nowadays water monitoring represents one of the most challenging global aims for the protection of people and environment health. In this paper we propose the…”
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On Maximizing Task Throughput in IoT-Enabled 5G Networks Under Latency and Bandwidth Constraints by Pratap, Ajay, Gupta, Ragini, Siddhardh Nadendla, Venkata Sriram, Das, Sajal K.

“…Fog computing in 5G networks has played a significant role in increasing the number of users in a given network. However, Internet-of-Things (IoT) has driven…”
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Exact and Approximate Drone Warehouse for a Mixed Landscape Delivery System by Bartoli, Luca, Betti Sorbelli, Francesco, Coro, Federico, Pinotti, Cristina M., Shende, Anil

“…We introduce a drone delivery system for the "last-mile" logistics of small parcels. The system serves mixed delivery areas modeled as EMs. The shortest path…”
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