2021 Palestinian International Conference on Information and Communication Technology (PICICT)最新文献

{"title":"Wearable Healthcare Indoor Monitoring System Based on Internet of Things","authors":"Salam Al-Khammasi, Nabeel Salih Ali","doi":"10.1109/PICICT53635.2021.00023","DOIUrl":"https://doi.org/10.1109/PICICT53635.2021.00023","url":null,"abstract":"Healthcare systems are one of the most critical IoT applications. At present, patients in hospitals are surrounded by a mesh of wires for monitoring and examination purposes. For that reason, we need to improve the monitoring systems by increasing their efficiency. This paper aims to provide an effective system by reducing human and hardware resources. Also, this system helps doctors in hospitals monitor and track patients to evaluate their conditions and decide if they need any immediate type of care effectively. The system consists of two major components (hardware and software). Hardware components are Sensors (temperature, heart pulse), GPS, NodeMCU with WIFI Module, OLED screen, and a webserver to display the biological activities on a webpage. Software components are C language, HTML, CSS, MYSQL database, and PHP language are used. Hardware and software are designed and implemented to perform the monitoring task effectively. The patients can monitor temperature and heart Pulse through an OLED screen attached to the wearable device on a real-time basis. Besides, Doctors can monitor ID number, Age, Temperature, Heart Pulse, Location, and Date of entry through a webpage displayed on a screen or smartphone. Results are showed and discussed in detail in the results and discussions section.","PeriodicalId":308869,"journal":{"name":"2021 Palestinian International Conference on Information and Communication Technology (PICICT)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128425869","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Experimenting with Evolutionary Algorithms to Reduce Feature Model Configuration Steps","authors":"Dalia Owdeh, Abdel Salam Sayyad","doi":"10.1109/PICICT53635.2021.00021","DOIUrl":"https://doi.org/10.1109/PICICT53635.2021.00021","url":null,"abstract":"In the software engineering world, software product lines constitute an approach for building reliable software systems. These use feature models to capture, develop, and document shared software for a base system. One of the main challenges when using feature models to derive new products configuration is a way of selecting a configuration that takes under consideration the minimum number of steps and minimum decision-making cost, taking into account resource constraints. To satisfy the challenges of optimizing the configuration selection technique, in this paper, we present an assessment approach that makes use of genetic algorithms to generate then evaluate the best product configurations from feature models. Our empirical outcomes reveal the effectiveness of using the genetic algorithm in obtaining the product configurations that meet the best level of trading-off between steps and decisions at a reasonable production time, consequently, assisting stakeholders in selecting the product configuration that fits their requirements.","PeriodicalId":308869,"journal":{"name":"2021 Palestinian International Conference on Information and Communication Technology (PICICT)","volume":"259 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132967196","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Detecting and Counting People's Faces in Images Using Convolutional Neural Networks","authors":"Yehea al Atrash, Motaz Saad, I. H. Alshami","doi":"10.1109/PICICT53635.2021.00031","DOIUrl":"https://doi.org/10.1109/PICICT53635.2021.00031","url":null,"abstract":"Computer Vision (CV) has so many applications such as but not limited to object recognition, which is a collection of computer vision tasks that involves identifying objects in images. One of CV applications is People counting, and it is useful for automatically counting the number of persons in a class, or a ceremony, or an event. People counting is based on face detection is a challenging task and still an open problem in computer vision. This research investigates two object detection models for detecting and counting people's faces. The first model is based on Faster-RCNN and the second one is based on SSD. These models are deep neural networks that are trained on object detection tasks. In this work, we train Faster-RCNN and SSD models on Wider-Face dataset, which is composed of faces in a variety of conditions relating to occlusion, illumination, expression, pose and scale. The evaluation result on the test part of the wider face dataset is 0.5 of accuracy for Faster-RCNN and SSD, also the Mean Relative Error for the Faster-RCNN is 0.3 and the SSD is 0.4. The Mean Absolute Error for the Faster-RCNN is 7.5 and the SSD is 8.6.","PeriodicalId":308869,"journal":{"name":"2021 Palestinian International Conference on Information and Communication Technology (PICICT)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116775054","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Development and Characterisation of Compact Wide-band Rejection Metamaterial Filters Using Triangular and Elliptic Split-Ring Resonators","authors":"Hichem Boubakar, M. Abri, M. Benaissa","doi":"10.1109/PICICT53635.2021.00034","DOIUrl":"https://doi.org/10.1109/PICICT53635.2021.00034","url":null,"abstract":"Because of its remarkable electromagnetic properties, the artificial substance known as metamaterial has led to important advancements in designing microwave components. In communications systems, filters are extremely essential. As a result, innovative band-stop microwave filters are suggested in this article. These filters are based on microstrip technology and split-ring resonators (SRR) with triangular, and elliptic geometrical forms, where the metamaterial effect can be established using this process. Furthermore, these filters are considered using one, two, and three SRRs cells, in order to have different bandstop widths. Because of its simplicity, edge coupling is the feeding technique chosen for this study. these structures are engineered and configured to operate within the S-band. The simulation findings reveal that changing the geometrical shape of the loops has a significant impact on the filter's features. to further study, these impacts a quantitative comparison involving the two shapes and the use of a different number of SRRs cells conducted. The findings show that these filters are well suited to a wide range of wireless communication systems depending on the wanted filter size, the range of the rejection band, and the electromagnetic properties.","PeriodicalId":308869,"journal":{"name":"2021 Palestinian International Conference on Information and Communication Technology (PICICT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129251764","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Forecasting of Covid-19 Using Time Series Regression Models","authors":"Akram M. Radwan","doi":"10.1109/PICICT53635.2021.00014","DOIUrl":"https://doi.org/10.1109/PICICT53635.2021.00014","url":null,"abstract":"The novel coronavirus (COVID-19) pandemic is a major global health threat that is spreading very fast around the world. In the current study, we present a new forecasting model to estimate the number of confirmed cases of COVID-19 in the next two weeks based on the previously confirmed cases recorded for 62 countries around the world. The cumulative cases of these countries represents about 96% of the total global up to the date of data gathering. Seven regression models have been used for two rounds of predictions based on the data collected between February 21, 2020 and August 31, 2020. We selected five feature sets using various feature-engineering methods to convert time series problem into a supervised learning problem and then build regression models. The performance of the models was evaluated using Root Mean Squared Log Error (RMSLE). The findings show a good performance and reduce the error about 70%. In particular, XGB and LGBM models have demonstrated their efficiency over other models.","PeriodicalId":308869,"journal":{"name":"2021 Palestinian International Conference on Information and Communication Technology (PICICT)","volume":"87 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131686202","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Solving 0–1 Knapsack Problems Using Sine-Cosine Algorithm","authors":"Khaled Mahfouz, Sharaz Ali, M. Al-Betar, M. Awadallah","doi":"10.1109/PICICT53635.2021.00020","DOIUrl":"https://doi.org/10.1109/PICICT53635.2021.00020","url":null,"abstract":"The task of optimization is no easy task and from a computational point of view, it often involves scanning a large search space to find the best solution that adheres to all the constraints and desired specifications. Designing a customized algorithm to solve several optimization problems is also a challenging task, therefore scientists and engineers utilize metaheuristic algorithms that can provide an optimal solution within a reasonable time. This optimal solution may or may not be the best solution in the search space, but it is usually good enough to satisfy the requirements without spending a lot of computational resources or time. The 0–1 knapsack problem is an constraint-based optimization problem in which a number of items have to be packed into a container by maximizing the value of the items in the container while also adhering to the weight limit of the container. In this paper, sine-cosine algorithm (SCA) is adopted to solve 0–1 knapsack problems. The proposed algorithm is called binary sine-cosine algorithm (BSCA). Due to the binary nature of 0–1 knapsack problem, the SCA is manipulated using a mapping function. The performance of the proposed BSCA is evaluated using 15 well-known datasets. Furthermore, the performance of the proposed BSCA is compared with other comparative algorithms (i.e., GA, PSO, and BFPA) from the literature using the same datasests. It can be observed from the results that the performance of the proposed BSCA is similar to other algorithms by obtaining the optimal results on 10 datasets. While the results of the proposed BSCA are convergent with others for the remaining five datasets.","PeriodicalId":308869,"journal":{"name":"2021 Palestinian International Conference on Information and Communication Technology (PICICT)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134232950","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Usage of Intelligent Optimization Techniques for Estimation of Pareto Optimal Front of Spectral Efficiency-Energy Efficiency Trade-off in Massive MIMO Systems","authors":"B. K. Gül, N. Taspinar","doi":"10.1109/PICICT53635.2021.00037","DOIUrl":"https://doi.org/10.1109/PICICT53635.2021.00037","url":null,"abstract":"Energy saving is gaining importance since the deficiency of resources become more critical day by day. This situation brings high energy efficiency to the agenda in the field of cellular communication, as in many other fields. However, the increase in energy efficiency leads to a decrease in the spectral efficiency, thus reducing the area throughput, which is extremely important for cell communication. One of the solutions suggested to this problem is spectral efficiency-energy efficiency optimizations in massive multi-input multi-output systems. In this paper, the determination of the optimum values of the parameters that which play a key role for the aforementioned trade-off by intelligent optimizations has been examined. These values have been compared with true Pareto Optimal Front. The results obtained with the multi-objective firefly algorithm have been more successful than the results obtained with the multi-objective differential evolution algorithm and multi-objective particle swarm optimization.","PeriodicalId":308869,"journal":{"name":"2021 Palestinian International Conference on Information and Communication Technology (PICICT)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125177758","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Test Cases Prioritization Framework for Component Based Front End Technologies","authors":"Hiba Ghannam, Abdel Salam Sayyad","doi":"10.1109/PICICT53635.2021.00040","DOIUrl":"https://doi.org/10.1109/PICICT53635.2021.00040","url":null,"abstract":"Test cases prioritization is an important action that has to be done during the testing phase within the software development life cycle. It helps to add more focus on test cases that have high priority. In addition, it helps to discover defects in early stages. Recently, Component-based architecture frontend frameworks are the most popular used technologies; hence prioritization could be connected with it. It might be connected with components reusability and their business requirements. In previous research, several solutions were proposed for test cases prioritization. The gap here, that most of these solutions were built for regression testing. Few proposed solutions were generated for new test cases, while these solutions didn't consider the new frontend technologies. This research presented a framework as an automated solution for prioritization of new test cases. Test cases represent a web application that is going to be developed using the mentioned technologies. The prioritization problem in this research was considered as a multi objective optimization problem where trade-off has to be done between different objectives. Therefore, the proposed solution considered four genetic algorithms: NSGA-II, IBEA, MOCell and SPEA2. During this research, five datasets were created since there are no available datasets. First one was created manually, while the others were created using a random approach. This proposed random approach for creating datasets, can help researchers to create any dataset with any required size for testing any similar problem. Several experiments were done during this research and using the five datasets. Results for all datasets approved that 30 seconds as a minimum execution time is enough to all mentioned algorithms. In addition, the quality is close to all algorithms. The results also approved that having limited time for testing generates a high-quality solution in less than 30 seconds as execution time for any mentioned algorithm. On the other hand, more available time for testing leads to a more complex problem that reduces the solutions quality.","PeriodicalId":308869,"journal":{"name":"2021 Palestinian International Conference on Information and Communication Technology (PICICT)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126119660","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Solving Truss Structures Problem by Size Optimizing using Red Deer Algorithm","authors":"Lamees Mohammad Dalbah, Hend Salem Alshamsi, M. Al-Betar, M. Awadallah","doi":"10.1109/PICICT53635.2021.00018","DOIUrl":"https://doi.org/10.1109/PICICT53635.2021.00018","url":null,"abstract":"This paper presents an approach to minimize the truss structures weights with discrete and continuous variables using Red Deer Algorithm (RDA). The RDA is one of the most recent meta-heuristic algorithms presented to solve optimization problems in 2016 by Amir and Mostafa. This algorithm mimics the breeding season of Scottish red deer animal, starting from roaring and ending with mating. In this paper, the RDA has been evaluated on three truss structure problems and has been compared with other six meta-heuristic algorithms. The results conclude that the RDA had a good performance for the 10-bar truss structure, and could enhance the compatibility equivalence constraints to minimize the weight of the bar design, and accelerate the convergence rate effectively. On the other hand, the study demonstrates that the RDA algorithm was effectively used to achieve a good enough solution for the 25-bar problem, and ranked as the fifth algorithm for the 72-bar truss structure.","PeriodicalId":308869,"journal":{"name":"2021 Palestinian International Conference on Information and Communication Technology (PICICT)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133930320","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Effects of Biotechnology Virtual Labs Approach for Enhancing of Understanding 1st Year University Students","authors":"Bashaer Abbuod Musawi, Salmiza Salih, J. Alaridhi, Zaid Abdi Alkareem Alyasseri","doi":"10.1109/PICICT53635.2021.00041","DOIUrl":"https://doi.org/10.1109/PICICT53635.2021.00041","url":null,"abstract":"Recently, the emphasis on developing laboratory teaching skills for university classes has increased. Past researchers had mainly focused on the need to improve teaching methods to transfer from the teacher is the center of the learning to the student is the center of the learning. Therefore, the main purpose of this paper is to investigate the effects of a biotechnology virtual labs approach to improve the understanding of 1st year students. The sampling of the research selected from the biology department faculty of the education university of Kufa-Iraq has been selected using a purposive sampling technique with a total sample size of 120 students. A standard instrument tool is used to measure the students' understanding of cell biology class which is named the understanding cell biology virtual lab test (UCBVLT). Data obtained from research instruments were then analyzed using SPSS. Independent sample t-test analyses revealed a significant difference in terms of 1st year university student understanding of cell Biology between those who are exposed to biotechnology virtual labs and those who followed the conventional lab activities. In conclusion, the proposed teaching approach (BVL) achieved better results for students' understanding of cell biology. The research is recommended to implement the BVL approach for cell biology class and other science classes. Another important point, the proposed teaching approach (BVL), The proposed learning method can play a crucial role in teaching several sciences classes and be an alternative to traditional education in cases of necessity, as happened at the time of the COVID-19 pandemic.","PeriodicalId":308869,"journal":{"name":"2021 Palestinian International Conference on Information and Communication Technology (PICICT)","volume":"204 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120866091","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}