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This paper proposes an unsupervised technique for detecting planar surfaces on single depth map image. The proposed method can detect planar surfaces by adopting dynamic seed growing technique without using texture information. So aided with this mechanism to control the growing process, each seed patch can grow to its maximum extent and then the next seed patch begins to grow. This process avoids...
In this paper we present a simple and convenient user interface for the elderly with an open source system platform used in smartphones. This design provides a simplified interface, a large font, a big button and a simple user interface starter for easy operation, and offers the elderly a method for those who are more accustomed to dial phones. Our design includes an improved selective reply text...
The GrabCut, which uses the graph-cut iteratively, is popularly used as an interactive image segmentation method since it can produce the globally optimal result. However, since the initialization of the GrabCut is roughly performed by the manual interaction, the accuracy of the segmentation result is not guaranteed when the user defines an inaccurate guide. To solve this problem, in this paper, we...
This paper proposes a kind of improved DV-Hop algorithm to solve the problem of low positioning accuracy in traditional DV-Hop algorithm. This method uses wavelet neural network to estimate the per-hop distance of the anchor nodes. In order to improve the positioning performance, the distance of per-hop is applied in the wireless sensor network. Simulation results show that, the localization error...
Arc detection is difficulty for the processing, assembly and testing of industrial production because of limitations of the detection method, algorithm and the instrument. The least-squares algorithm usually is used to fit data in circle detection. The application of the conventional least-squares algorithm is limited, its roundness error is bigger, and precision is lower. For detecting arc with data...
Object recognition is a very important task in the field of computer vision. We present a new method for object recognition. The image content is described by the image gradient. Then, the intersection distance is proposed to measure the similarities of the images of different objects. Our method demonstrates good performances on three face data sets.
Service-oriented architectures have emerged as a popular development paradigm for modular, extendible distributed systems, relying on interoperable components. However, their evolution is a challenging problem, due to the fact that their constituent parts typically reside outside a single entity's domain of ownership and control. In my thesis, I have developed WSDarwin, a framework to support the...
The machine-to-machine (M2M) communication network is a promising concept to improve the user experience. The M2M communication enables two M2M devices in proximity of each other to establish a direct local link and bypass the base station. Machine-to-machine communication can be applied to various important fields, such as military applications, public safety, environmental monitoring, commercial...
We verified the accuracy of a website that supports health by calculating nutritive value according to the selection of a food name. As a result, since the error in the quantity of fat or salt was large, it became clear that it is not suitable for those who need strict meal control. However, such a system is useful to help users identify dietary tendencies and improve eating habits.
There is an increasing demand for indoor localization and tracking objects with high accuracy. The GPS system is not efficient for positioning in such areas. Rising number of smartphones allow for their utilization in indoor positioning system. RSSI (Radio Signal Strength Index) is commonly applied but it is limited to pattern matching methods. A map called fingerprint is created at the first stage...
Numerous recent studies have aimed to improve myoelectric control of prostheses. However, the majority of these studies is characterized by two problems that could be easily fulfilled with recent resources supplied by the scientific literature. First, the majority of these studies use only intact subjects, with the unproved assumption that the results apply equally to amputees. Second, usually only...
The significance of social media has already been proven in provoking transformation of public opinion for developed countries in improving democratic process of elections. On the contrary, developing countries lacking basic necessities of life possess monopolistic electoral system in which candidates are elected based on tribes, family backgrounds, or landlord influences. They extort voters to cast...
Study of reciprocity helps to find influential factors for users building relationships, which greatly facilitates the social behavior understanding in trust networks. In the previous literature, the dynamics of both network structure and user generated content are rarely considered. Our investigation of the available timing information from a real-world network demonstrates that time delay has significant...
Users in social networks use hashtags for various reasons, some of them being serving search purposes, gaining attention or popularity or starting new conversation - thus, creating viral memes. In this paper we address the problem of classifying these hashtags in different categories, based on whether they represent a real life event or a social network generated meme. We compute a set of language-agnostic...
People play different roles in various social networks. Even in a single network, people may interact with others based on different roles, and there are various relationships among them. However, current research usually treats all relationships homogeneously (i.e. friendship). In this paper, we try to identify different types of relationship (family, colleague, and social) within social networks...
One of the key aspects instrumental in the advancement of science relates to “team science,” or in other words “group” collaborations. There have been extensive studies analyzing various statistical properties of collaborations of individual or pairs of authors. However, the number of studies pertaining to groups/teams of scientists working together is limited in number. In this paper, we set an objective...
We propose a medical named entity recognition for medical question answering system with Indonesian language. The aim is to provide a good medical named entity grammar by only using the available language resource. Our strategy here is to build the features most often used for the recognition and classification of medical named entities. We organize them along two different axes: word-level and list...
This paper presents a real-time human action recognition method based on a modified Deep Belief Network (DBN) model. To recognize human actions, the positions of human joints are taken into account. Each action is made of a sequence of human joint positions. Since the classic DBN cannot deal with temporal information, the proposed method employs the conditional Restricted Boltzmann Machine (cRBM)...
Most of the mobile platforms provide a keyword based full text search (FTS) for users to find what they want. However, FTS has difficulties in dealing with the cases where a user cannot remember the exact keywords about target data or the number of search results is too many. To overcome these limitations of FTS, we propose a semantically enhanced method of searching for data on mobile devices along...
Breast cancer is the second of the deadliest cancers causing women mortality around the world. The early prediction of breast cancer is the key to reduce women mortality. The major sign of breast cancer is the occurrence of microcalcification clusters in the breast. To efficiently diagnose the breast cancer, an efficient classification system for microcalcification in digital mammogram image is proposed...
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