Semi-supervised learning (SSL) is focused on learning from labeled and unlabeled data by incorporating structural and statistical information of the available unlabeled data. The amount of data is dramatically increasing, but few of them are fully labeled, due to cost and time constraints. This is even more challenging for non-vectorial, proximity data, given by pairwise proximity values. Only ...

Semi-supervised learning (SSL) is an important research problem in machine learning. While it is usually expected that the use of unlabeled data can improve performance, in many cases SSL is outperformed by supervised learning using only labeled data. To this end, the construction of a performance-safe SSL method has become a key issue of SSL study. To alleviate this problem, we propose in this...

Indoor positioning based on the received signal strength (RSS) of the WiFi signal has become the most popular solution for indoor localization. In order to realize the rapid deployment of indoor localization systems, solutions based on crowdsourcing have been proposed. However, compared to conventional methods, crowdsourced RSS values are more erroneous and can result in large localization erro...

When more than two microphones are used, the traditional time-delay-of-arrival (TDOA) based sound source localization (SSL) approach involves two steps. The first step computes TDOA for each microphone pair, and the second step combines these estimates. This two-step process discards relevant information in the first step, thus degrading the SSL accuracy and robustness. Although less used, one-...

Many SSL/TLS-based e-commerce applications employ traditional authentication mechanisms on the client side. These mechanisms—if decoupled from SSL/TLS session establishment—are vulnerable to man-in-the-middle attacks. In this article, we examine the feasibility of such attacks, survey countermeasures, and explain the rationale behind SSL/TLS session-aware user authentication as a lightweight an...

A low-cost and accurate positioning solution is significant for the massive deployment of fully autonomous driving vehicles (ADV). Conventional mechanical LiDAR has proven its performance, but high cost hinders production vehicles. This paper proposes a LiDAR/inertial-based localization systems with prior maps in urban areas. Instead relying on costly LiDAR, this to utilize solid-state (SSL) ma...

Resumen— Security requirements are becoming common on current Internet transactions. HTTPS connections are frequently used by application servers in order to host secure transactions. HTTPS connections are based on HTTP protocol over SSL connections, to provide authentication, confidentiality and integrity, using symmetric and asymmetric cryptographic algorithms (using private or public key). B...

Remote Procedure Calls (RPC) are widely used over the Internet as they provide a simple and elegant way of interaction between the client and the server. This paper proposes a solution for securing the remote procedure calls (RPC) by tunneling it through HTTPS (Hypertext Transfer Protocol over Secure Socket Layer). RPC over HTTP actually uses the Secure Socket Layer (SSL) protocol as a transpor...

Stainless steel laser-drilled screens (SSL screens) for continuous sugar centrifugals are compared with several types of chrome/nickel screens. Assessments are made of trials and routine operations at several factories around the world, and results of final molasses purity analyses, screen service life, and centrifugal capacities are examined. A semi-quantitative comparison is made between Aust...

The discharge of spent sulfite liquor (SSL), the waste water produced during cellulose manufacture, into water courses often results in massive slime infestations of Sphaerotilus natans. Though a considerable amount of work has been done on the stimulation of Sphaerotilus in mixed populations, the most notable probably being that of Amberg and Cormack (1), very little (6) is known about the nut...