Allam Mousa - Academia.edu (original) (raw)

Papers by Allam Mousa

Scientific Reports, Jan 18, 2024

A new technology called smart energy management makes use of IoT concepts to enhance energy effic... more A new technology called smart energy management makes use of IoT concepts to enhance energy efficiency and lower waste in structures. The goal of this study is to comprehend how household energy management knowledge affects energy usage, user behavior, related expenses, and environmental effect. Through a survey of 100 valid replies in Palestine, the research model assessed the knowledge and consumption habits of building occupants. Smart PLS software was used to analyze the research model using partial least squares structural equation modeling (PLS-SEM). Using path coefficients and behavior as a mediating variable, the structural model connected the latent variables. The mediation hypotheses were tested using the Preacher and Hayes method, and the indirect effect and confidence intervals were estimated and calculated using bootstrapping. The findings demonstrated that by lowering energy use and enhancing overall building performance, residential buildings that implement smart energy consumption management systems may move toward a more sustainable future. Furthermore, the study found that education and awareness campaigns are necessary to increase residents' knowledge of these systems to promote energy savings. The results also indicated statistically significant indirect effects, supporting the existence of mediation of the behavior construct. Path coefficient values and P-values were presented to further support the study's hypotheses. Such smart energy management systems represent an important innovation in building management and can help create more sustainable and efficient buildings. The sudden rise in industrial, economic and population growth worldwide has led to a serious escalation in energy consumption, which has led to the need to increase energy generation efforts to counter this increase. Unfortunately, this increase in power generation carries the double burden of prohibitive costs and negative effects on air quality. Moreover, it opens the door to potential environmental and political challenges associated with resource depletion, global warming, and acid rain. Addressing these challenges necessitates a more rational and efficient management of energy consumption through contemporary methods that optimize energy utilization and mitigate wastage. The contemporary landscape is marked by the ascendancy of smart techniques and technologies, with the Internet of Things (IoT) being a notable exemplar 1. Building upon this 2 , introduced a thought-provoking methodology, a public opinion survey that delineates the technologies and advantages underpinning IoT's implementation in the factory sector. Our study, focused on the residential West Bank market in Palestine, seeks to extend this understanding, though without the inclusion of smart electric meters, as expounded by 2. An exploration of the energy landscape in Palestine reveals a significant contribution of the construction and buildings sector, accounting for approximately 57% of the total energy consumption between 2011 and 2019, dwarfing the industrial sector's share, which stands at a mere 10% 3. This context frames our study's purpose, aiming to assess the readiness of the residential buildings sector in the West Bank to embrace smart systems for energy management. Central to this endeavor is research into effective applications for smart energy consumption management within residential buildings, with a focus on reducing energy waste and enhancing energy efficiency. Residents' behavior and knowledge of smart management are central to this exploration, and their insights will be obtained through a pool of residents' opinions. The study also aims to ascertain the level of awareness among the population regarding these systems, and their ability to reduce environmental damage and compensate for the increasing costs of energy consumption. Contemporary global concern about the wise use of energy is driven by the growing mandate for energy and the escalating environmental impacts of energy consumption. This necessity is most acutely demonstrated in Palestine, where the inhabited sector accounts for a large portion of the country's energy consumption. Thus, the

International Journal of Information and Education Technology

This paper describes a new experiment in the context of the Palestinian higher education based on... more This paper describes a new experiment in the context of the Palestinian higher education based on Augmented Reality (AR) technology. The main objective is to investigate the efficacy of AR-based learning on motivation and reflective thinking, which are important measures of students’ learning and achievement. The experiment was carried out on a sample of 24 students enrolled in digital communication course in their third and fourth years at telecommunication engineering department of An Najah National University. The sample was selected using purposive sampling method. Except for confidence dimension, results indicate a positive effect of integrating AR technology in teaching and learning on all dimensions of motivation (attention, relevance, satisfaction, and volition) between experiment and control groups. Similarly, AR-based learning has a positive effect on all dimensions of the reflective thinking scale between the experiment and control groups except for the reflection dimensi...

Iet Signal Processing, 2010

Orthogonal frequency-division multiplexing (OFDM) is a transmission technique that is based on ma... more Orthogonal frequency-division multiplexing (OFDM) is a transmission technique that is based on many orthogonal carriers that are transmitted simultaneously. Channel estimation techniques for OFDM systems, based on comb-type pilot arrangement, over frequency-selective Rician and time-varying fading channel are investigated. The advantage of comb-type pilot arrangement, in channel estimation, is the ability to track the variation in the channel, which is the main reason for inter-carrier interference modelled as an additive white Gaussian noise, leading to an increase in the noise level. The estimation of the channel at the pilot frequencies is based on least-square (LS) method. Several interpolation methods have been used to estimate the channel response at the data frequency. In this study, simulation results for Rician channel model were examined and bit error rate/signal-to-noise ratio performance, for various conditions, were considered, and the pilot arrangement was used with the LS estimation and low-pass interpolation techniques, leading to a reduction in the effect of Doppler frequency.

Journal of Electrical Engineering, May 1, 2011

Biomedical signals are usually non-stationary, multi component ones. The use of time-frequency an... more Biomedical signals are usually non-stationary, multi component ones. The use of time-frequency analysis can be inevitable for these signals. The choice and selection of the proper Time-Frequency Distribution that can reveal the exact multi component structure of biological signals is vital in many applications, including the diagnosis of medical abnormalities. In this paper, the instantaneous frequency techniques, using Wigner-Ville Distribution,

Zenodo (CERN European Organization for Nuclear Research), Apr 28, 2017

A secondary cooperative overlay dynamic spectrum access protocol in cognitive radio networks is p... more A secondary cooperative overlay dynamic spectrum access protocol in cognitive radio networks is proposed, allowing secondary users to access the primary system using full power without causing harmful interference to primary users. Moreover, an enhancement in the primary system will be achieved as a result of secondary relaying of primary messages. A detailed description of the protocol is given and illustrated with network scenarios.

International Journal of Mobile Network Communications & Telematics, 2017

A secondary distributed synchronization protocol in the Overlay based Hybrid Automatic Repeat req... more A secondary distributed synchronization protocol in the Overlay based Hybrid Automatic Repeat request cognitive radio has been proposed. A detailed description for our protocol is given and simulation runs have been carried out. Our results show how secondary users can achieve synchronous reception on the primary receiver with the transmission from the primary transmitter. This synchronization represents a key functioning in the Overlay access scheme in cognitive radio networks.

JMIR Medical Education

Background Artificial intelligence (AI) has many applications in various aspects of our daily lif... more Background Artificial intelligence (AI) has many applications in various aspects of our daily life, including health, criminal, education, civil, business, and liability law. One aspect of AI that has gained significant attention is natural language processing (NLP), which refers to the ability of computers to understand and generate human language. Objective This study aims to examine the potential for, and concerns of, using AI in scientific research. For this purpose, high-impact research articles were generated by analyzing the quality of reports generated by ChatGPT and assessing the application’s impact on the research framework, data analysis, and the literature review. The study also explored concerns around ownership and the integrity of research when using AI-generated text. Methods A total of 4 articles were generated using ChatGPT, and thereafter evaluated by 23 reviewers. The researchers developed an evaluation form to assess the quality of the articles generated. Addit...

Pattern Recognition and Image Analysis

International Journal of Mobile Computing and Multimedia Communications

This paper proposes different queuing scenarios to avoid dropping of handoff and new calls in a c... more This paper proposes different queuing scenarios to avoid dropping of handoff and new calls in a cellular phone network, which is essential when the network has certain restrictions on the available frequencies. This limitation degrades the performance of the system and more sites are required to achieve the desired capacity and coverage. However, this leads to a higher percentage of call drops during handoff. This paper presents a queuing technique for both new and handoff calls to reduce the probability of call drop in such a system, leading to improvement in QoS. The proposed scenarios show better system performance. The blocking probability is reduced from 2% down to 0.04% for queuing handoff calls and from 2% to 1.14% when queuing new calls using the same technique. The four different presented approaches are: 1) only new calls are queued; 2) only handoff calls are queued; 3) by using all available channels; 4) by using only half. The queuing size also plays an important role fo...

DESCRIPTION One of the most important requirements for Long Term Evolution (LTE) is minimizing th... more DESCRIPTION One of the most important requirements for Long Term Evolution (LTE) is minimizing the costs and effort of network planning, optimization and configuration to the lowest possible level, while keeping a very good acceptable performance level which can be achieved by using self-organizing networks (SON) concept. This paper presents an efficient technique to train base station (E-NodeB) in order to choose the most appropriate and optimized scheduler in LTE system for each pixel inside an image using Neural Network technique, which leads to an optimized bandwidth and hence increased capacity. The simulation results using our proposed method using self-organizing assigning scheduler indicate an overall 33% saving in

ELMAR, 2005. 47th International Symposium, 2005

47th International Symposium ELMAR-2005, 08-10 June 2005, Zadar, Croatia Data Encryption Performa... more 47th International Symposium ELMAR-2005, 08-10 June 2005, Zadar, Croatia Data Encryption Performance Based on Blowfish Allam Mousa Electrical Engineering Department An-Najah National University Nablus-PALESTINE E-mail: allam@najah.edu Abstract - Some of the important ...

The conventional linear predictive analysis in pulse-based coders is replaced by the so-called so... more The conventional linear predictive analysis in pulse-based coders is replaced by the so-called source-combined linear predictive method to match the excitations considered in two steps: synthesis filter determination and excitation search. It differs from Atal's two-pass approach in that the synthesis filter is optimised jointly with the excitation prior to the ABS excitation search. However, it is a difficult task to obtain the optimum solution, and, thus, a suboptimal algorithm k developed. Initially, the algorithm starts with the covariance method and then corrects the synthesis filter using an estimate of the excitation. This is accomplished by using two coupled equations originally developed. The effectiveness of the approach in multipulse and regular pulse excited coders is demonstrated. Extensive simulation results, at several bit rates, with different excitations, are presented. Comparisons are made with the standard coder and the coder that employs Atal's approach. In all conditions, the proposed coder is found to give better results.

Two iterative algorithms for pulse-based linear predictive (PB-LP) analysis are developed. At the... more Two iterative algorithms for pulse-based linear predictive (PB-LP) analysis are developed. At the kth step, one of the algorithms assumes that the pulse locations of k pulses are known and calculates the LP coefficients jointly with k pulse amplitudes. In contrast, the other algorithm assumes that the previous k-1 pulse amplitudes are known and jointly estimates the LP filter coefficients

Two iterative analysis algorithms were developed for the reoptimization of the LP synthesis filte... more Two iterative analysis algorithms were developed for the reoptimization of the LP synthesis filter based on a pulse-by-pulse reoptimization manner. In this study, the use of the pitch filter in the analysis algorithms is introduced. Similar to the no pitch case, improvement in the gain is achieved. On the other hand, this gain has dropped compared to the no pitch case. Moreover, the number of pulses needed to reoptimize the LP filter found to be much less than that, in the no pitch case.

This paper proposes a text-independent speaker identification system based on Mel Frequency Cepst... more This paper proposes a text-independent speaker identification system based on Mel Frequency Cepstral Coefficients as a feature extraction and Vector Quantization technique that would minimize the data required for processing. The correlation between the identification success rate and the various parameters of the system including the feature extraction tools and the data minimization technique will be examined. Extracted features of a speaker are quantized by a number of centroids and the K-mean algorithm has been integrated into the proposed speaker identification system. Such centroids constitute the codebook of that speaker. MFCC are calculated in both training and testing phases. To calculate these MFCC speakers uttered different words, once in a training session and once in a testing one. The speakers were identified according to the minimum quantization distance which was calculated between the centroids of each speaker in the training phase and the MFCC of individual speakers in the testing phase. Analysis was carried out to identify parameter values that could be used to improve the performance of the system. The experimental results illustrate the efficiency of the proposed method under several conditions