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In recent years, the Internet of Things (IoT) has become a hot research issue and is changing the way how people live and work. IoT has a lot of benefits and meanwhile, it also brings about great challenges to the search engine community. In this paper, we analyze the challenges in the IoT search engine technology and
the retrieved information has huge variation and mobile terminal has small area for displaying them. Therefore, we aim to develop technologies for the users to input their requests by familiar way and clarify what they want to know with displaying the retrieved information with suitable method.
Search on the web is a delay process and it can be hard task especially for beginners when they attempt to use a keyword query language. Beginner (inexpert) searchers commonly attempt to find information with ambiguous queries. These ambiguous queries make the search engine returns irrelevant results. This work aims
technology, our method resolves the encrypted index table maintenance issue when medical data are deleted. The experimental results show that the overhead of our solution is small compared to indexing and search times of traditional search engines. The security analysis shows that our solution assures data confidentiality and
. They waited and passively weighted users' feedback in page ranking to try to improve the precision of searching. Previous studies on Web information retrieval show that the average error ratios are over 20%. In this paper, we base on a heuristic from the librarian to present an interactive information retrieval technology
Per-flow traffic measurement is critical for usage accounting, traffic engineering, and anomaly detection. Previous methodologies are either based on random sampling (e.g., Cisco's NetFlow), which is inaccurate, or only account for the "elephants." We introduce a novel technique for measuring per-flow traffic
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.