Serwis Infona wykorzystuje pliki cookies (ciasteczka). Są to wartości tekstowe, zapamiętywane przez przeglądarkę na urządzeniu użytkownika. Nasz serwis ma dostęp do tych wartości oraz wykorzystuje je do zapamiętania danych dotyczących użytkownika, takich jak np. ustawienia (typu widok ekranu, wybór języka interfejsu), zapamiętanie zalogowania. Korzystanie z serwisu Infona oznacza zgodę na zapis informacji i ich wykorzystanie dla celów korzytania z serwisu. Więcej informacji można znaleźć w Polityce prywatności oraz Regulaminie serwisu. Zamknięcie tego okienka potwierdza zapoznanie się z informacją o plikach cookies, akceptację polityki prywatności i regulaminu oraz sposobu wykorzystywania plików cookies w serwisie. Możesz zmienić ustawienia obsługi cookies w swojej przeglądarce.
This paper proposes and evaluates MALMOS, a novel framework for mobile offloading scheduling based on online machine learning techniques. In contrast to previous works, which rely on application-dependent parameters or predefined static scheduling policies, MALMOS provides an online training mechanism for the machine learning-based runtime scheduler such that it supports a flexible policy that dynamically...
The Campbell-Stokes sunshine recorder is an instrument which can measure the solar radiation by using the scorch on the recorder card. It is short for C-S. The weak scorch and the strong scorch represent different solar radiation. The weak scorch is so hard to extract that the radiation represented by the weak scorch always be neglected. The present methods reduce the accuracy of extraction, because...
The view that sampling technology could improve the efficiency of data mining significantly has been widely accepted by the research community. The key to sample in data mining is how to design a sampling strategy to get a favorable sample to execute the mining algorithm at minor cost of accuracy. In this article we propose a progressive sampling algorithm based on confusion matrix to determine the...
Due to the human activities such as artificial beach and reclaiming land from seawaters along Yancheng's coastal area in Jiangsu province in recent years, the problems of coastline straightening and the mudflat prograding have become highlighted. Therefore, it is great significant to master coastline change for shore and mudflats exploitation and utilization, environmental protection and Marine disaster...
Given a set of objects and a query q, a point p is called the reverse k nearest neighbor (RkNN) of q if q is one of the k closest objects of p. In this paper, we introduce the concept of influence zone which is the area such that every point inside this area is the RkNN of q and every point outside this area is not the RkNN. The influence zone has several applications in location based services, marketing...
In the use of a wearable GPS and cellular tracker for applications such as elderly tracking, device power consumption is an important consideration. To save power, assisted GPS (AGPS) location fixes should not be performed frequently. On the other hand, we also do not want to lose important information about the user's mobility patterns and routines. To solve this dilemma, in this paper, we present...
In recent years, extensive researches have been conducted to develop approaches to answer two major challenges for collaborative filtering problems, namely sparsity and scalability. In this paper, we propose a novel collaborative filtering recommendation approach to alleviate these challenges. Our approach firstly converts the user-item ratings matrix to user-class matrix, and hence increases greatly...
For the robot vision system in apple harvesting robot, a new image segmentation method based on entropy clustering is proposed in HSI color space. Firstly, noise was wiped off by using weighted algorithm of median filtering in HSI color space instead of traditional algorithm in RGB model; secondly, Hue and Saturation components were extracted to do entropy clustering with their independence with Intensity,...
This paper proposes a hybrid TOA/AOA (Time of Arrival/Angle of Arrival)-based localization algorithm for Code Division Multiple Access (CDMA) networks. The algorithm extends the Taylor Series Least Square (TS-LS) method originally developed for TOA-based systems to incorporate AOA measurements. In addition, tracking algorithms utilizing velocity and acceleration measurements are investigated. Simulation...
After analyzing the essence of the traditional GM(1,1) model, background value was identified as key factor for precision and adaptability of GM(1,1) model, and a novel method was proposed to improve GM(1,1) model. Taking into calculation quantity and error, quadratic curve fitting was adopted to solve the unknown value, and Simpson integral formula was used to replace trapezoidal numerical integration...
Iris recognition is of great significance in biometric technologies, due to the highest reliability and accuracy. As the first crucial step of iris recognition, iris segmentation is continuously and widely studied. A novel iris location method, based on rotation average analysis of intensity-inversed image, is presented here for iris segmentation: First, it locates the pupil by checking the consecutive...
On the basis of rough sets, by considering both the dynamic characteristics of the set x and the statistics information in the knowledge database, this paper constructs bidirectional probabilistic PS-rough sets model in probabilistic approximation space, discusses property and theorems of PS-rough sets, proves that PS-rough sets is the further extension of S-rough sets and Z.Pawlak rough sets, S-rough...
Location estimation is an essential issue for wireless sensor networks (WSN). In this paper a new localization estimation algorithm for WSN is proposed which is based on the Grid-Scan method. In the proposed algorithm, the node collects its 1-hop and 2-hop anchors before the localization algorithm is waked up. Firstly, it obtains the intersection region of the 1-hop anchors' transmission area as the...
This paper investigates the underlying patterns in data derived from the International Tobacco Control Four Country Survey. The intent of the paper is to determine which attributes have the greatest impact on smokers' plans to quit and their attempts to quit. Rule sets are derived using decision tree models and tested on temporal data sets to assess their validity and ability to generalise. Determinant...
This paper presents a decision tree approach for predicting smokerspsila quit intentions using the data from the International Tobacco Control Four Country Survey. Three rule-based classification models are generated from three data sets using attributes in relation to demographics, warning labels, and smokerspsila beliefs. Both demographic attributes and warning label attributes are important in...
Podaj zakres dat dla filtrowania wyświetlonych wyników. Możesz podać datę początkową, końcową lub obie daty. Daty możesz wpisać ręcznie lub wybrać za pomocą kalendarza.