Search results for "LTE"
showing 10 items of 4531 documents
Einstellungen der DaF-Lehrer in den finnischen gymnasialen Oberstufen sowohl zur Informations- und Kommunikationstechnologie im Unterricht als auch z…
2017
Tieto- ja viestintätekniikka on nykyisin mukana koulujen arjessa ja myös ylioppilaskokeet ovat sähköistymässä. Lisäksi uuden lukion opetussuunnitelman mukaan opettajien tulisi osata käyttää TVT:tä entistä monipuolisemmin, jotta oppimistavoitteet täyttyisivät. Aiempien tutkimusten mukaan opettajilla on kuitenkin hyvin vaihtelevat taidot sen käytössä. Tämän tutkimuksen tarkoituksena on selvittää, miten saksan kielen opettajat suhtautuvat tieto- ja viestintätekniikan käyttöön opetuksessa ja mitä mieltä he ovat sekä sähköisistä opetusmateriaaleista, että uudesta sähköisestä saksan ylioppilaskokeesta. Aineisto kerättiin teemahaastatteluilla, joissa haastateltiin kuutta (6) lukion saksanopettajaa…
Couteaux, forces et autres instruments dans les sépultures de Ludas .
2012
International audience
Marcadores clínicos y estudio de estilo de vida en el seguimiento de la enfermedad celíaca
2020
La enfermedad celíaca (EC) es un trastorno sistémico, crónico y de origen autoinmune que afecta a individuos genéticamente susceptibles. Se presenta con una gran variedad de signos, síntomas y enfermedades asociadas, incluso también puede cursar de manera asintomática, lo que hace difícil su diagnóstico. La EC se diagnostica con mayor frecuencia en las mujeres y a edades más tempranas que a los hombres. Debido a la gran hererogeneidad en la forma de presentación de la EC, se ha llevado a cabo una revisión sistemática, donde estudios recientes, muestran una variación del espectro clínico de la enfermedad en función de la edad. En niños pequeños predomina la forma clásica con síntomas como di…
Transcranial Alternating Current Stimulation (tACS) Does Not Affect Sports People’s Explosive Power: A Pilot Study
2021
Purpose: This study is aimed to preliminary investigate whether transcranial alternating current stimulation (tACS) could affect explosive power considering genetic background in sport subjects.Methods: Seventeen healthy sports volunteers with at least 3 years of sports activities participated in the experiment. After 2 weeks of familiarization performed without any stimulation, each participant received either 50 Hz-tACS or sham-tACS. Before and after stimulation, subjects performed the following tests: (1) the squat jump with the hands on the hips (SJ); (2) countermovement jump with the hands on the hips (CMJ); (3) countermovement jump with arm swing (CMJ-AS); (4) 15-s Bosco’s test; (5) s…
Anomaly Detection Algorithms for the Sleeping Cell Detection in LTE Networks
2015
The Sleeping Cell problem is a particular type of cell degradation in Long-Term Evolution (LTE) networks. In practice such cell outage leads to the lack of network service and sometimes it can be revealed only after multiple user complains by an operator. In this study a cell becomes sleeping because of a Random Access Channel (RACH) failure, which may happen due to software or hardware problems. For the detection of malfunctioning cells, we introduce a data mining based framework. In its core is the analysis of event sequences reported by a User Equipment (UE) to a serving Base Station (BS). The crucial element of the developed framework is an anomaly detection algorithm. We compare perfor…
A Hybrid Multigroup Coclustering Recommendation Framework Based on Information Fusion
2015
Collaborative Filtering (CF) is one of the most successful algorithms in recommender systems. However, it suffers from data sparsity and scalability problems. Although many clustering techniques have been incorporated to alleviate these two problems, most of them fail to achieve further significant improvement in recommendation accuracy. First of all, most of them assume each user or item belongs to a single cluster. Since usually users can hold multiple interests and items may belong to multiple categories, it is more reasonable to assume that users and items can join multiple clusters (groups), where each cluster is a subset of like-minded users and items they prefer. Furthermore, most of…
Cross-Domain Recommendations with Overlapping Items
2016
In recent years, there has been an increasing interest in cross-domain recommender systems. However, most existing works focus on the situation when only users or users and items overlap in different domains. In this paper, we investigate whether the source domain can boost the recommendation performance in the target domain when only items overlap. Due to the lack of publicly available datasets, we collect a dataset from two domains related to music, involving both the users’ rating scores and the description of the items. We then conduct experiments using collaborative filtering and content-based filtering approaches for validation purpose. According to our experimental results, the sourc…
A New Augmented Lagrangian Approach for $L^1$-mean Curvature Image Denoising
2015
Variational methods are commonly used to solve noise removal problems. In this paper, we present an augmented Lagrangian-based approach that uses a discrete form of the L1-norm of the mean curvature of the graph of the image as a regularizer, discretization being achieved via a finite element method. When a particular alternating direction method of multipliers is applied to the solution of the resulting saddle-point problem, this solution reduces to an iterative sequential solution of four subproblems. These subproblems are solved using Newton’s method, the conjugate gradient method, and a partial solution variant of the cyclic reduction method. The approach considered here differs from ex…
Cluster-Based RF Fingerprint Positioning Using LTE and WLAN Outdoor Signals
2015
In this paper we evaluate user-equipment (UE) positioning performance of three cluster-based RF fingerprinting methods using LTE and WLAN signals. Real-life LTE and WLAN data were collected for the evaluation purpose using consumer cellular-mobile handset utilizing ‘Nemo Handy’ drive test software tool. Test results of cluster-based methods were compared to the conventional grid-based RF fingerprinting. The cluster-based methods do not require grid-cell layout and training signature formation as compared to the gridbased method. They utilize LTE cell-ID searching technique to reduce the search space for clustering operation. Thus UE position estimation is done in short time with less comput…
An efficient cluster-based outdoor user positioning using LTE and WLAN signal strengths
2015
In this paper we propose a novel cluster-based RF fingerprinting method for outdoor user-equipment (UE) positioning using both LTE and WLAN signals. It uses a simple cost effective agglomerative hierarchical clustering with Davies-Bouldin criterion to select the optimal cluster number. The positioning method does not require training signature formation prior to UE position estimation phase. It is capable of reducing the search space for clustering operation by using LTE cell-ID searching criteria. This enables the method to estimate UE positioning in short time with less computational expense. To validate the cluster-based positioning real-time field measurements were collected using readi…