Search results for "Aka"
showing 10 items of 2351 documents
Radio Frequency Spectrum Sensing by Automatic Modulation Classification in Cognitive Radio System Using Multiscale Deep CNN
2022
Automatic modulation categorization (AMC) is used in many applications such as cognitive radio, adaptive communication, electronic reconnaissance, and non-cooperative communications. Predicting the modulation class of an unknown radio signal without having any prior information of the signal parameters is challenging. This paper proposes a novel multiscale deep-learning-based approach for the automatic modulation classification using radio signals. The approach considered the fixed boundary range-based Empirical wavelet transform (FBREWT) based multiscale analysis technique to decompose the radio signal into sub-band signals or modes. The sub-band signals computed from the radio signal comb…
Experimental evaluation of privacy-preserving aggregation schemes on planetlab
2015
New pervasive technologies often reveal many sen- sitive information about users’ habits, seriously compromising the privacy and sometimes even the personal security of people. To cope with this problem, researchers have developed the idea of privacy-preserving data mining which refers to the possibility of releasing aggregate information about the data provided by multiple users, without any information leakage about individual data. These techniques have different privacy levels and communication costs, but all of them can suffer when some users’ data becomes inaccessible during the operation of the privacy preserving protocols. It is thus interesting to validate the applicability of such…
Outage Analysis of Relay-Aided Non-Orthogonal Multiple Access with Partial Relay Selection
2018
Non-Orthogonal multiple access (NOMA) holds promise as a spectrally efficient multiple access scheme for 5G communication networks. This work investigates the performance of NOMA in a dual-hop amplify-and-forward (AF) relaying network, which is subject to Nakagami-$m$ fading. Specifically, we obtain a novel closed-form expression of the outage probability for the near and far users when the partial relay selection (PRS) scheme is used for selecting the best among $N$ intermediate relays. The users are considered to employ selection combining technique in order to combine the relayed and the direct transmission signals for an increased reliability of detection. Then, we evaluate the impact o…
Critical analysis of conventional thermoeconomic approaches to the diagnosis of multiple faults in air conditioning units: Capabilities, drawbacks an…
2013
Abstract Faults diagnosis in air conditioning systems is a crucial activity, since malfunctions may induce heavy degradation of performance. Among the available techniques, thermoeconomic diagnosis has played a marginal role due to the difficulties encountered when applying the methodology to refrigeration plants. In this paper a critical analysis on capabilities and limits of thermoeconomic diagnosis is proposed. The reference plant is a 120 kWc air-cooled air conditioning system; a simulator is used to evaluate thermodynamic data under normal and faulty conditions, setting up “virtual experiments” to simulate each fault. Five malfunctions are imposed, either individually or simultaneously…
Is it all about consumer engagement? : Explaining continuance intention for utilitarian and hedonic service consumption
2020
This paper compares the explanatory power of consumer engagement (CE) regarding service continuance intention with the variables of attitude (utilitarian and hedonic) and satisfaction. Survey data were collected from users of mobile music (n = 596) and mobile parking (n = 297) services. The partial least squares method was applied to analyze the data. In line with expectations, the findings show that attitude and satisfaction are superior drivers of service continuance intention compared to CE when service is used for utilitarian reasons. In contrast, when service consumption is driven by hedonic reasons, CE is a stronger driver than satisfaction. However, no evidence for the superiority of…
Introducing a sensemaking perspective to the service experience
2021
PurposeMost recent service experience research considers customers as sensemakers and sensemaking as a focal process in experience construction. Despite this, the sensemaking theory engendered in organization studies has not been applied in the quest for an in-depth understanding of the service experience. This study introduces a sensemaking perspective to the service experience and develops a conceptualization of how customers construct their experiences cognitively through sensemaking.Design/methodology/approachThe service experience literature is dominated by a focus on firms implementing service experiences for customers. This study, in contrast, investigates service experience and its …
Beyond alphabetic orthographies: The role of form and phonology in transposition effects in Katakana
2008
In the past years, there has been growing interest in how the order of letters is attained in visual word recognition. Two critical issues are: (1) whether the front-end of the recently proposed models of letter position encoding can be generalised to non-alphabetic scripts, and (2) whether phonology plays an important role in the process of letter position encoding. In the present masked priming lexical decision experiments, we employed a syllabic/moraic script (Katakana), which allows disentangling form and phonology. In Experiment 1, we found a robust masked transposed-mora priming effect: the prime a.ri.me.ka facilitates the processing of the word a.me.ri.ka relative to a double-substit…
An Environmental Analysis of the Effect of Energy Saving, Production and Recovery Measures on Water Supply Systems under Scarcity Conditions
2015
Water is one of the primary resources provided for maintaining quality of life and social status in urban areas. As potable water is considered to be a primary need, water service has usually been managed without examining the economic and environmental sustainability of supply processes. Currently, due to increases in energy costs and the growth of environment preservation policies, reducing water leakage, energy consumption and greenhouse gas (GHG) production have become primary objectives in reducing the environmental footprint of water service. The present paper suggests the implementation of some performance indicators that show the interdependence of water loss, energy consumption and…
Investigation of the Temperature Sensitivity of 20-Years Old Field-Aged Photovoltaic Panels Affected by Potential Induced Degradation
2022
One effect of moisture ingress on solar panels is potential induced degradation (PID). Solar panels affected by PID experience large leakage currents between the solar cells and the module’s frame, which leads to substantial power degradation. In the present work, the temperature coefficients of 3 old PV panels affected by PID were investigated. In the electroluminescence images, solar cells nearer to the edge of the modules appear darker due to ohmic shunting. IR thermal images acquired under clear sky outdoor conditions show that the majority of the warmer cells (hotspots) were located closer to the edge of the modules. The difference in cell temperature (∆T) due to PID effect…
A Short-Term Data Based Water Consumption Prediction Approach
2019
A smart water network consists of a large number of devices that measure a wide range of parameters present in distribution networks in an automatic and continuous way. Among these data, you can find the flow, pressure, or totalizer measurements that, when processed with appropriate algorithms, allow for leakage detection at an early stage. These algorithms are mainly based on water demand forecasting. Different approaches for the prediction of water demand are available in the literature. Although they present successful results at different levels, they have two main drawbacks: the inclusion of several seasonalities is quite cumbersome, and the fitting horizons are not very large. With th…