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Nature Language Processing has been paid more attention recently. Traditional approaches for language model primarily rely on elaborately designed features and complicated natural language processing tools, which take a large amount of human effort and are prone to error propagation and data sparse problem. Deep neural network method has been shown to be able to learn implicit semantics of text without...
The wide availability of GPS-enabled devices has fueled the development of location-based applications. Among the most popular are navigation applications that guide users along their way. Due to the limited availability and precision of GPS in typical indoor environments, most navigation applications are limited to outdoor scenarios. To mitigate this, researchers and practitioners have been developing...
Intelligent Environments (IE) are a very active area of research and a number of applications are currently being deployed in domains ranging from smart home to e-health and autonomous vehicles. In a number of cases, IE operate together with (or to support) humans, and it is therefore fundamental that IE are thoroughly verified. In this paper we present how a set of techniques and tools developed...
Wireless sensor networks (WSNs) are strongly useful to monitor physical and environmental conditions to provide realtime information for improving environment quality. However, deploying a WSN in a physical environment faces several critical challenges such as high energy consumption, and data loss.In this work, we have proposed a reliable and efficient environmental monitoring system in ponds using...
Social isolation is a problem that is accentuated in the stage of old age. This condition puts at risk the physical and mental integrity of older adults. This paper presents a predictive model for the automatic detection of social isolation in older adults. The predictive model was implemented in a mobile application that monitors communication and mobility activities performed by an older adult....
The efficient market hypothesis (EMH) affirms that asset prices should reveal all available information. Therefore, it is impossible to "beat the market" always on a risk-adjusted basis since market prices should only respond to new information. Here, we propose a new model to validate the EMH that is inspired on an elastic network model. More specifically, we apply this comparison to Foreign...
In topology representations such as maps, carbon nanotubes, and cellular networks, neighboring cells are assigned different exclusive colors to represent different characteristics. In the previous research, based on the fourcolor theorem, an algorithm that can allocate exclusive channels among neighbors using only four channels in a polygonal cluster sensor network is proposed. The performance of...
In the era of the Internet, people are active in multiple online services, and they usually have accounts on more than one online service. Each account is a virtual identity of the user. In order to trace individual's online behavior at any time and any places, linking virtual identities belonging to the same natural person across different online service domains is very important. Existing methods...
This paper discusses on-going research in the ways Global Software Engineering (GSE) teams collaborate for a range of software development tasks. The paper focuses on providing the means for observing and understanding GSE team member collaboration including team coordination and member communication. Initially the paper provides the background on social and human issues relating to GSE collaboration...
Recently, most of context-aware services are trying to exploit the emotional contexts of the target users. The aim of this conceptual paper is to discuss affective lifelogging framework which can recognize the emotions by integrating multimodal information from multiple sources. Moreover, we will mention the open problems on affective lifelogging.
Our trust always changes due to various conditions. We call it dynamics of trust. Researching about the change of trust is a necessary task because it could be applied into diverse applications such as trust-based recommendation systems. In this paper, our target is to i) propose a general definition of trust, ii) define temporal and spatial patterns for representing how trust changes. They can be...
In this paper, we propose a new power allocation method on non-orthogonal multiple access (NOMA) schemes in cellular uplink network. It is known that NOMA could be a promising candidate as a wireless access scheme for future 5G radio access technology. To enhance the spectrum efficiency, NOMA adopts a successive interference cancellation (SIC) receiver as the baseline receiver scheme for robust multiple...
Recently, deep neural network based methods have been widely used in relation extraction, which is an important task for knowledge base population, question answering and other natural language applications, to learn proper features from entities pairs and other sentence parts to extract relations from text. As a kind of important information, the value of position is always been underestimated, which...
Small cells are low-powered cellular radio access nodes which make best use of available spectrum by reusing the same frequencies many times within a geographical area. However, the deployment of small cells (e.g., femtocells) may introduce extra interferences such as cross-tier(macrocellfemtocell) and co-tier (femtocell-femtocell) interferences. In this regard, an effective interference management...
The use of ubiquitous devices on large environment such as smart-cities enables opportunities to solve more complex problems and react to changes quicker. Namely the use of computational resources to assist the management of environment through predicament of parameters based on sustainable indicators applied to smart-cities. This paper considers the creation of a computational sustainability archetype...
Internet of Things (IoT) is considered a disruptive technology that is expected to change our everyday-life and contribute to the economic development. In particular, agriculture is a domain that can greatly benefit from the application of emerging technologies in the IoT field in order to reduce production costs and increase product quality. This work proposes a system based on Internet of Things...
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