Hasil untuk "Telecommunication"

F. Niederman, J. C. Brancheau, James C. Wetherbe

M. Dinu, F. Quochi, H. Garcia

Hadiseh Rezaei, Rahim Taheri, Ehsan Nowroozi et al.

The rapid growth of Internet of Things (IoT) devices and the introduction of 5G networks have created new opportunities for enhancing network services, while also introducing significant security concerns. Intrusion Detection Systems (IDS) are crucial for identifying malicious activities and unauthorized access in these environments. However, current IDS solutions face challenges such as sharing sensitive data and managing large-scale networks. Federated Learning (FL) presents a promising solution by enabling models to be trained on decentralized devices without sharing private data. This paper examines how FL can enhance IDS for IoT and 5G networks, with an emphasis on privacy and security concerns. We analyze various privacy, homomorphic encryption, and security mechanisms in FL, including Differential Privacy (DP) and secure aggregation, and their potential applications in strengthening IDS solutions. Additionally, we explore how FL contributes to the development of more secure and efficient IDS systems while addressing challenges such as data heterogeneity and security risks. Finally, we identify gaps in the existing research and propose directions for future work to enhance the robustness and practicality of FL-based IDS for IoT and 5G environments.

A. Masoudi, M. Belal, T. Newson

M. T. Hill, H. Dorren, T. D. Vries et al.

J. Mayrand, Claude Leblanc, E. Merlo

S. Bozhevolnyi, V. Volkov, É. Devaux et al.

Fakun Wang, Leigang Li, Wenjuan Huang et al.

Infrared detection at optical communication wavelength is of great significance because of their diverse commercial and military communication applications. The layered Bi2Se3 with a narrow band gap of 0.3 eV is regarded as a promising candidate toward high‐performance terahertz to infrared applications. However, the controllable synthesis of large‐size ultrathin Bi2Se3 flakes remains a challenge owing to complex nucleation process and infrared telecommunication photodetectors based on Bi2Se3 flakes are rarely reported. Here, large size (submillimeter: 0.2–0.4 mm in lateral dimensions) and ultrathin (thickness: 3 nm to few nanometers) 2D Bi2Se3 flakes with high crystal quality are obtained by suppressing the nucleation density. More importantly, back‐gate field‐effect transistor based on Bi2Se3 flake exhibits an ultrahigh on/off current ratio of 106 and competitive mobility of 39.4 cm2 V−1 s−1. Moreover, excellent on/off ratio of 972.5, responsivity of 23.8 A W−1, and external quantum efficiency of 2035% are obtained from Bi2Se3‐based photodetector at 1456 nm in the E‐band of the telecommunication range. With controlled morphology and excellent photoresponse performance, the Bi2Se3 photodetector shows great potential in the optoelectronic field including communications, military, and remote sensing.

Huan Zhao, M. Pettes, Yu Zheng et al.

Quantum emitters (QEs) in two-dimensional transition metal dichalcogenides (2D TMDCs) have advanced to the forefront of quantum communication and transduction research. To date, QEs capable of operating in O-C telecommunication bands have not been demonstrated in TMDCs. Here we report site-controlled creation of telecom QEs emitting over the 1080 to 1550 nm telecommunication wavelength range via coupling of 2D molybdenum ditelluride (MoTe2) to strain inducing nano-pillar arrays. Hanbury Brown and Twiss experiments conducted at 10 K reveal clear photon antibunching with 90% single-photon purity. The photon antibunching can be observed up to liquid nitrogen temperature (77 K). Polarization analysis further reveals that while some QEs display cross-linearly polarized doublets with ~1 meV splitting resulting from the strain induced anisotropic exchange interaction, valley degeneracy is preserved in other QEs. Valley Zeeman splitting as well as restoring of valley symmetry in cross-polarized doublets are observed under 8 T magnetic field. Single-photon emitters in 2D semiconductors hold promise for quantum applications, but usually operate in the 500-800 nm wavelength range. Here, the authors report site-controlled creation of quantum emitters in the telecommunication wavelength window by coupling 2D MoTe2 to strain inducing nano-pillar arrays.

C. Pfeiffer, N. Emani, A. Shaltout et al.

Francesco Calabrese, Laura Ferrari, V. Blondel

Jussi T. S. Heikkilä

S. Aryee, Fred Walumbwa, Qin Zhou et al.

Jia Li, Zhichao Han, Hong Cheng et al.

In this paper we use a time-evolving graph which consists of a sequence of graph snapshots over time to model many real-world networks. We study the path classification problem in a time-evolving graph, which has many applications in real-world scenarios, for example, predicting path failure in a telecommunication network and predicting path congestion in a traffic network in the near future. In order to capture the temporal dependency and graph structure dynamics, we design a novel deep neural network named Long Short-Term Memory R-GCN (LRGCN). LRGCN considers temporal dependency between time-adjacent graph snapshots as a special relation with memory, and uses relational GCN to jointly process both intra-time and inter-time relations. We also propose a new path representation method named self-attentive path embedding (SAPE), to embed paths of arbitrary length into fixed-length vectors. Through experiments on a real-world telecommunication network and a traffic network in California, we demonstrate the superiority of LRGCN to other competing methods in path failure prediction, and prove the effectiveness of SAPE on path representation.

Solimun Solimun, A. Fernandes

S. Hung, D. Yen, Hsiu-Yu Wang

Abstract Taiwan deregulated its wireless telecommunication services in 1997. Fierce competition followed, and churn management becomes a major focus of mobile operators to retain subscribers via satisfying their needs under resource constraints. One of the challenges is churner prediction. Through empirical evaluation, this study compares various data mining techniques that can assign a ‘propensity-to-churn’ score periodically to each subscriber of a mobile operator. The results indicate that both decision tree and neural network techniques can deliver accurate churn prediction models by using customer demographics, billing information, contract/service status, call detail records, and service change log.

S. Garimella, T. Persoons, J. Weibel et al.

A. Rueda, F. Sedlmeir, M. Collodo et al.

Linking classical microwave electrical circuits to the optical telecommunication band is at the core of modern communication. Future quantum information networks will require coherent microwave-to-optical conversion to link electronic quantum processors and memories via low-loss optical telecommunication networks. Efficient conversion can be achieved with electro-optical modulators operating at the single microwave photon level. In the standard electro-optic modulation scheme, this is impossible because both up- and down-converted sidebands are necessarily present. Here, we demonstrate true single-sideband up- or down-conversion in a triply resonant whispering gallery mode resonator by explicitly addressing modes with asymmetric free spectral range. Compared to previous experiments, we show a 3 orders of magnitude improvement of the electro-optical conversion efficiency, reaching 0.1% photon number conversion for a 10 GHz microwave tone at 0.42 mW of optical pump power. The presented scheme is fully compatible with existing superconducting 3D circuit quantum electrodynamics technology and can be used for nonclassical state conversion and communication. Our conversion bandwidth is larger than 1 MHz and is not fundamentally limited.

Aidah Nassazi

Author Aidah Nassazi Title Effects of training on Employee performance. Evidence from Uganda Year 2013 Language English Pages 57 + 2 Appendices Name of Supervisor Koskinen Ossi Employees are major assets of any organization. The active role they play towards a company’s success cannot be underestimated. As a result, equipping these unique assets through effective training becomes imperative in order to maximize the job performance. Also position them to take on the challenges of the today’s competitive business climate. Although extensive research has been conducted in the area of Human Research Management, the same cannot be said on employee training especially as it concerns developing countries. The purpose of this thesis was to evaluate the effects of training on employee performance, using the telecommunication industry in Uganda as case study. In order to understand the study aim, four goals were developed and these focused particularly on identifying the training programs’ existing in the industry, the objective of the training offered, the methods employed and finally the effects of training and development on employee performance. The study was based on three case studies of the biggest telecommunication companies operating in Uganda. A qualitative research approach of the data collection was adopted using a questionnaire comprising of 18 questions distributed to 120 respondents. Based on this sample the results obtained indicate that training have a clear effect on the performance of employees. The findings can prove useful to Human resource managers, Human resource policy decicision makers, as well as government and academic institutions.

Z. Bauman, D. Bigo, Paulo Esteves et al.