Pub Date : 2018-11-01DOI: 10.1109/ACIT.2018.8672710
Ali Haroun, Rawad Nasr, A. Ghouwayel
This paper presents a novel architecture of a soft NB-LDPC decoder for joint iterative MIMO receivers. The architecture is able to decode the rate R= 1/2 with frame length N=384 LDPC code using a 64 QAM modulation. To our knowledge, it is the first soft decoder architecture that implements the belief propagation algorithm based on vertical shuffle schedule. The proposed architecture implements a single variable node processor where the Log Likelihood Ratio (LLR) computation block is removed. It also implements a single Check Node processor that is composed of six Elementary Check Nodes. Synthesis results show that the proposed architecture consumes 6.476 K slices and run at a maximum clock frequency of 70 MHz. Taking only the decoding process part alone, 188 clock cycles are required to perform decoding iterations.
{"title":"On the Implementation of Vertical Shuffle Scheduling Decoder for Joint MIMO Detection and Channel Decoding System","authors":"Ali Haroun, Rawad Nasr, A. Ghouwayel","doi":"10.1109/ACIT.2018.8672710","DOIUrl":"https://doi.org/10.1109/ACIT.2018.8672710","url":null,"abstract":"This paper presents a novel architecture of a soft NB-LDPC decoder for joint iterative MIMO receivers. The architecture is able to decode the rate R= 1/2 with frame length N=384 LDPC code using a 64 QAM modulation. To our knowledge, it is the first soft decoder architecture that implements the belief propagation algorithm based on vertical shuffle schedule. The proposed architecture implements a single variable node processor where the Log Likelihood Ratio (LLR) computation block is removed. It also implements a single Check Node processor that is composed of six Elementary Check Nodes. Synthesis results show that the proposed architecture consumes 6.476 K slices and run at a maximum clock frequency of 70 MHz. Taking only the decoding process part alone, 188 clock cycles are required to perform decoding iterations.","PeriodicalId":443170,"journal":{"name":"2018 International Arab Conference on Information Technology (ACIT)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132777599","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}
Pub Date : 2018-11-01DOI: 10.1109/ACIT.2018.8672687
Mahmoud Al Shareeda, Ayman Khalil, W. Fahs
The most significant elements of a vehicular ad hoc network (VANET), besides VANET-enabled vehicles, are roadside units (RSUs). The effectiveness of a VANET mainly depends on the density and location of these RSUs. Throughout the primary stages of VANET, it will not be potential to deploy a big number of RSUs either due to the low marketplace penetration of VANET enabled vehicles or due to the deployment price of RSUs. There is, therefore, a need to optimally place a limited number of RSUs in a specified area in order to accomplish maximum performance. In this paper, we present the well-known genetic algorithm based on RSU location to find an optimal or near optimal solution. We provide the basic simulation environment of this work OSM to download real map data, GatcomSUMO to generate car mobility, SUMO to simulate road traffic, veins model framework for running vehicular network simulations on Omnet++, Omnet++ to simulate realistic network and Matlab to build the algorithm in order to analyze the results. The simulation scenario is based on the Hamra district of Beirut, Lebanon. Based on the genetic algorithm, our proposed RSU placement model demonstrates that an optimal RSU position that can enhance the reception of basic safety message (BSM) delivered from the vehicles, can be accomplished in a specified road-map layout.
{"title":"Towards the Optimization of Road Side Unit Placement Using Genetic Algorithm","authors":"Mahmoud Al Shareeda, Ayman Khalil, W. Fahs","doi":"10.1109/ACIT.2018.8672687","DOIUrl":"https://doi.org/10.1109/ACIT.2018.8672687","url":null,"abstract":"The most significant elements of a vehicular ad hoc network (VANET), besides VANET-enabled vehicles, are roadside units (RSUs). The effectiveness of a VANET mainly depends on the density and location of these RSUs. Throughout the primary stages of VANET, it will not be potential to deploy a big number of RSUs either due to the low marketplace penetration of VANET enabled vehicles or due to the deployment price of RSUs. There is, therefore, a need to optimally place a limited number of RSUs in a specified area in order to accomplish maximum performance. In this paper, we present the well-known genetic algorithm based on RSU location to find an optimal or near optimal solution. We provide the basic simulation environment of this work OSM to download real map data, GatcomSUMO to generate car mobility, SUMO to simulate road traffic, veins model framework for running vehicular network simulations on Omnet++, Omnet++ to simulate realistic network and Matlab to build the algorithm in order to analyze the results. The simulation scenario is based on the Hamra district of Beirut, Lebanon. Based on the genetic algorithm, our proposed RSU placement model demonstrates that an optimal RSU position that can enhance the reception of basic safety message (BSM) delivered from the vehicles, can be accomplished in a specified road-map layout.","PeriodicalId":443170,"journal":{"name":"2018 International Arab Conference on Information Technology (ACIT)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126051739","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}
Pub Date : 2018-11-01DOI: 10.1109/ACIT.2018.8672723
Souha El Katat, A. Kalakech, Mariam Kalakech, D. Hamad
Fighting poverty is one of the main objectives of sustainable development program. In a country like Lebanon, where poverty is a real threat and hidden under a good living looking, the situation should be explored in depth. This paper aims to evaluate the position of Lebanon compared to other Middle East countries in sustainable development. Furthermore, our goal is to reveal the power and weaknesses of resources management, based on income and non-income indicators retrieved from World data bank. For this purpose, we adopted a combination of data mining techniques as tools to study the relationship between these indicators. The K-means clustering technique is used to define the different levels of living. In order to extract the most relevant non-income indicators to our study, information gain as feature selection technique was applied. Finally, KNN classification technique was used for the predicting model.
{"title":"A Comparative Study Between Lebanon and Middle East Countries Based on Data Mining Techniques","authors":"Souha El Katat, A. Kalakech, Mariam Kalakech, D. Hamad","doi":"10.1109/ACIT.2018.8672723","DOIUrl":"https://doi.org/10.1109/ACIT.2018.8672723","url":null,"abstract":"Fighting poverty is one of the main objectives of sustainable development program. In a country like Lebanon, where poverty is a real threat and hidden under a good living looking, the situation should be explored in depth. This paper aims to evaluate the position of Lebanon compared to other Middle East countries in sustainable development. Furthermore, our goal is to reveal the power and weaknesses of resources management, based on income and non-income indicators retrieved from World data bank. For this purpose, we adopted a combination of data mining techniques as tools to study the relationship between these indicators. The K-means clustering technique is used to define the different levels of living. In order to extract the most relevant non-income indicators to our study, information gain as feature selection technique was applied. Finally, KNN classification technique was used for the predicting model.","PeriodicalId":443170,"journal":{"name":"2018 International Arab Conference on Information Technology (ACIT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126244873","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}
Pub Date : 2018-11-01DOI: 10.1109/ACIT.2018.8672688
O. Dorgham, Mohammadiha Nasser, M. Ryalat, Ammar Almomani
Automatic segmentation of medical images is a key step in contouring during radiotherapy planning. Computed topography (CT) and Magnetic resonance (MR) imaging are the most widely used radiographic techniques in diagnosis, clinical studies and treatment planning. This paper proposed an unsupervised and automatic estimation of the required parameters for identifying the region of interest. The proposed methodology consists of four steps executed sequentially: First, a body region of interest is masked by a method based on Otsu thresholding and basic morphological operations. Second, a distance transformation is performed then results of distance transform function are normalized. Next, watershed marker-controlled identifications are performed by extract internal and external marker. Finally, the region of interest is identified and segmented according the resulted boundaries. According to the visual evaluation results, segmentation of the human body, from the Computed Tomography images, was seen to be precise and accurate (as confirmed by a specialist). The analysis provided evidence that the human body segmentation method could be applied to segmenting other organs, registering different image modalities or speeding-up the generation of digitally reconstructed radiographs.
{"title":"Proposed Method for Automatic Segmentation of Medical Images","authors":"O. Dorgham, Mohammadiha Nasser, M. Ryalat, Ammar Almomani","doi":"10.1109/ACIT.2018.8672688","DOIUrl":"https://doi.org/10.1109/ACIT.2018.8672688","url":null,"abstract":"Automatic segmentation of medical images is a key step in contouring during radiotherapy planning. Computed topography (CT) and Magnetic resonance (MR) imaging are the most widely used radiographic techniques in diagnosis, clinical studies and treatment planning. This paper proposed an unsupervised and automatic estimation of the required parameters for identifying the region of interest. The proposed methodology consists of four steps executed sequentially: First, a body region of interest is masked by a method based on Otsu thresholding and basic morphological operations. Second, a distance transformation is performed then results of distance transform function are normalized. Next, watershed marker-controlled identifications are performed by extract internal and external marker. Finally, the region of interest is identified and segmented according the resulted boundaries. According to the visual evaluation results, segmentation of the human body, from the Computed Tomography images, was seen to be precise and accurate (as confirmed by a specialist). The analysis provided evidence that the human body segmentation method could be applied to segmenting other organs, registering different image modalities or speeding-up the generation of digitally reconstructed radiographs.","PeriodicalId":443170,"journal":{"name":"2018 International Arab Conference on Information Technology (ACIT)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114832449","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}
Pub Date : 2018-11-01DOI: 10.1109/ACIT.2018.8672679
Alaa Abd-Raheem, Farah AlDeiri, Musa Alyaman
3D scanning is the process of generating a computer aided design model from an existing physical part. It can be achieved by different methods whether using: LASER, camera, and many advanced optical techniques. In this paper, we will concentrate on camera scanning technique, which is known as Photogrammetry. The input is a set of photographs, and the output is a 3D model of a real-world object. By using a camera and acquiring many images with predefined positions and orientations. 3D reconstruction from 2D images using Structure from Motion algorithm produces the point cloud and eventually the complete textured mesh. This system is specialized in 3D scanning of small objects. It involves the design of a fully automatic closed system of controlled scanning conditions in terms of lighting and angles of captured images.
三维扫描是从现有的物理部件生成计算机辅助设计模型的过程。它可以通过不同的方法来实现，无论是使用激光，相机，还是许多先进的光学技术。在本文中，我们将集中讨论相机扫描技术，即摄影测量学。输入是一组照片，输出是一个真实世界物体的3D模型。通过使用相机并获取具有预定义位置和方向的许多图像。利用Structure from Motion算法对二维图像进行三维重建，生成点云，最终生成完整的纹理网格。该系统专门用于小物体的三维扫描。它涉及设计一个全自动的封闭系统，控制扫描条件的照明和捕获图像的角度。
{"title":"Design of an Automated 3D Scanner","authors":"Alaa Abd-Raheem, Farah AlDeiri, Musa Alyaman","doi":"10.1109/ACIT.2018.8672679","DOIUrl":"https://doi.org/10.1109/ACIT.2018.8672679","url":null,"abstract":"3D scanning is the process of generating a computer aided design model from an existing physical part. It can be achieved by different methods whether using: LASER, camera, and many advanced optical techniques. In this paper, we will concentrate on camera scanning technique, which is known as Photogrammetry. The input is a set of photographs, and the output is a 3D model of a real-world object. By using a camera and acquiring many images with predefined positions and orientations. 3D reconstruction from 2D images using Structure from Motion algorithm produces the point cloud and eventually the complete textured mesh. This system is specialized in 3D scanning of small objects. It involves the design of a fully automatic closed system of controlled scanning conditions in terms of lighting and angles of captured images.","PeriodicalId":443170,"journal":{"name":"2018 International Arab Conference on Information Technology (ACIT)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130705955","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}
Pub Date : 2018-11-01DOI: 10.1109/ACIT.2018.8672714
Ahmad Drak, A. Asteroth
In this paper we present work towards finding an optimal flight zone of an Unmanned Aerial Vehicle (UAV) as adhering to space-restricting factors brought upon by a dynamic vector field extraction algorithm. The objective of the UAV is to perform side-by-side tracking and following of a lightweight ground vehicle while acquiring high quality video of tufts attached to the side of the tracked vehicle. The recorded video is supplied to a dynamic vector field extraction algorithm that produces the positions and deformations of the tufts over time as they interact with the surrounding air, resulting in an airflow model of the tracked vehicle. The present limitations of wind tunnel tests and computational fluid dynamics simulation suggest the use of a UAV for real world evaluation of the aerodynamic properties of the shell of the vehicles exterior. The novelty of the proposed approach is alluded to defining specific flight zone restricting factors while adhering to the vector field extraction algorithm, where as a result we were capable of formalizing a locally-static and a globally-dynamic geofence attached to the tracked vehicle and enclosing the UAV. Moreover, a drone video quality and stability analysis tool was implemented to aid in quantifying the quality of the drone video and in constructing the geofence.
{"title":"Towards Finding an Optimal Flight Zone for a Side-by-Side Tracking UAV w.r.t Extraction of Dynamic Vector Fields","authors":"Ahmad Drak, A. Asteroth","doi":"10.1109/ACIT.2018.8672714","DOIUrl":"https://doi.org/10.1109/ACIT.2018.8672714","url":null,"abstract":"In this paper we present work towards finding an optimal flight zone of an Unmanned Aerial Vehicle (UAV) as adhering to space-restricting factors brought upon by a dynamic vector field extraction algorithm. The objective of the UAV is to perform side-by-side tracking and following of a lightweight ground vehicle while acquiring high quality video of tufts attached to the side of the tracked vehicle. The recorded video is supplied to a dynamic vector field extraction algorithm that produces the positions and deformations of the tufts over time as they interact with the surrounding air, resulting in an airflow model of the tracked vehicle. The present limitations of wind tunnel tests and computational fluid dynamics simulation suggest the use of a UAV for real world evaluation of the aerodynamic properties of the shell of the vehicles exterior. The novelty of the proposed approach is alluded to defining specific flight zone restricting factors while adhering to the vector field extraction algorithm, where as a result we were capable of formalizing a locally-static and a globally-dynamic geofence attached to the tracked vehicle and enclosing the UAV. Moreover, a drone video quality and stability analysis tool was implemented to aid in quantifying the quality of the drone video and in constructing the geofence.","PeriodicalId":443170,"journal":{"name":"2018 International Arab Conference on Information Technology (ACIT)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128733628","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}
Pub Date : 2018-11-01DOI: 10.1109/ACIT.2018.8672703
Jamal Haydar, Ahmad NourAldeen, H. Fayad, W. Fahs, Hussein Al Haj Hassan
Accumulation of dust on the surface of solar panels distract the light from reaching solar cells. This leads to significant degradation in the performance of solar panels in terms of output power. In this paper, we present a simple and low cost cleaning system to mitigate the effect of dust on the performance of solar panels. The mechanical as well as the electrical subsystems are described, an algorithm for controlling the cleaning mechanism is proposed. Results show that the cleaning system allows the solar panel to provide regular power output.
{"title":"A Low Cost Automated Cleaning System for Photovoltaic Panels","authors":"Jamal Haydar, Ahmad NourAldeen, H. Fayad, W. Fahs, Hussein Al Haj Hassan","doi":"10.1109/ACIT.2018.8672703","DOIUrl":"https://doi.org/10.1109/ACIT.2018.8672703","url":null,"abstract":"Accumulation of dust on the surface of solar panels distract the light from reaching solar cells. This leads to significant degradation in the performance of solar panels in terms of output power. In this paper, we present a simple and low cost cleaning system to mitigate the effect of dust on the performance of solar panels. The mechanical as well as the electrical subsystems are described, an algorithm for controlling the cleaning mechanism is proposed. Results show that the cleaning system allows the solar panel to provide regular power output.","PeriodicalId":443170,"journal":{"name":"2018 International Arab Conference on Information Technology (ACIT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124383019","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}
Pub Date : 2018-11-01DOI: 10.1109/ACIT.2018.8672724
A. Shaout, Brennan Crispin
Children and infants being left in cars on hot summer days is a major public health issue across the world. With modern sensor and connectivity technology, it should be possible to detect these scenarios by uploading raw data to the cloud. In the cloud, systems will be able to respond to this data and make judgements to notify proper response personnel. In this paper, we explore cloud technology to process updates from a sensor system and how it could be used to send notifications to prevent these tragic occurrences.
{"title":"Cloud Based System for Detecting Children in Automobiles","authors":"A. Shaout, Brennan Crispin","doi":"10.1109/ACIT.2018.8672724","DOIUrl":"https://doi.org/10.1109/ACIT.2018.8672724","url":null,"abstract":"Children and infants being left in cars on hot summer days is a major public health issue across the world. With modern sensor and connectivity technology, it should be possible to detect these scenarios by uploading raw data to the cloud. In the cloud, systems will be able to respond to this data and make judgements to notify proper response personnel. In this paper, we explore cloud technology to process updates from a sensor system and how it could be used to send notifications to prevent these tragic occurrences.","PeriodicalId":443170,"journal":{"name":"2018 International Arab Conference on Information Technology (ACIT)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124113735","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}
Pub Date : 2018-11-01DOI: 10.1109/ACIT.2018.8672704
N. E. Elshaiekh, Yasir Ali Ahmed Hassan, Amna Abdelrouf Alhassan Abdallah
Remote working is a kind of work process that keep workers to do their job activities from distance or out of work surroundings. In this review paper, the concepts, advantages and disadvantages of remote working are elaborate, then specific issues of remote working has been discussed, specially issues that raised by researchers and expirees who examined and analyzed these issues and the most challenging facing by them. There are different kinds of remote working; According to the workers who use it, the place, type of work, the environment, and the purpose of use. According to the reviews there are positive and negative impacts on workers performance by using the remote working which may include; Information and communication (LCT) had useful effects on more results, such as job happiness, performance, revenue intent, and role stress,: minimum physical necessities, individual monitor over work pace, defined deliverables, a need for concentration, and a comparatively low need for communication. The persons who worked at home effectively were found to be extremely self-motivated and self-disciplined and to have abilities which providing them with bartering influence. They also made the plan either because of family desires or because they preferred few social fraud facts beyond family. The negative impacts include; pressures of time management, Financial pressures or uncertainty, Loneliness from lack of colleague contact, Separation in the workplace - feeling ‘left out’, Absence of regular routine, market yourself, Lack of sympathetic from others who choose more conformist paths. Difficulty swapping off’ at the end of the day. and Pressure in close relations.
{"title":"The Impacts of Remote Working on Workers Performance","authors":"N. E. Elshaiekh, Yasir Ali Ahmed Hassan, Amna Abdelrouf Alhassan Abdallah","doi":"10.1109/ACIT.2018.8672704","DOIUrl":"https://doi.org/10.1109/ACIT.2018.8672704","url":null,"abstract":"Remote working is a kind of work process that keep workers to do their job activities from distance or out of work surroundings. In this review paper, the concepts, advantages and disadvantages of remote working are elaborate, then specific issues of remote working has been discussed, specially issues that raised by researchers and expirees who examined and analyzed these issues and the most challenging facing by them. There are different kinds of remote working; According to the workers who use it, the place, type of work, the environment, and the purpose of use. According to the reviews there are positive and negative impacts on workers performance by using the remote working which may include; Information and communication (LCT) had useful effects on more results, such as job happiness, performance, revenue intent, and role stress,: minimum physical necessities, individual monitor over work pace, defined deliverables, a need for concentration, and a comparatively low need for communication. The persons who worked at home effectively were found to be extremely self-motivated and self-disciplined and to have abilities which providing them with bartering influence. They also made the plan either because of family desires or because they preferred few social fraud facts beyond family. The negative impacts include; pressures of time management, Financial pressures or uncertainty, Loneliness from lack of colleague contact, Separation in the workplace - feeling ‘left out’, Absence of regular routine, market yourself, Lack of sympathetic from others who choose more conformist paths. Difficulty swapping off’ at the end of the day. and Pressure in close relations.","PeriodicalId":443170,"journal":{"name":"2018 International Arab Conference on Information Technology (ACIT)","volume":"119 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124161662","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}
Pub Date : 2018-11-01DOI: 10.1109/ACIT.2018.8672581
Hassan Zahr, Hussein Al Haj Hassan, Jamal Haydar
The world is witnessing major developments in many technologies. This enables the use of new methods to ease the life of humans. Among these methods, speech recognition is used in several fields including automation, health care and assisting. In this paper, we present a web-based framework that employs speech recognition and can be used in assisting users (or customers) in many facilities such as universities or malls. The components of the system are explained and the used technologies are described. Finally, we show the implementation of an application that uses the proposed framework to help students in IUL university.
{"title":"Web-Based Framework for Assisting Users Using Speech Recognition","authors":"Hassan Zahr, Hussein Al Haj Hassan, Jamal Haydar","doi":"10.1109/ACIT.2018.8672581","DOIUrl":"https://doi.org/10.1109/ACIT.2018.8672581","url":null,"abstract":"The world is witnessing major developments in many technologies. This enables the use of new methods to ease the life of humans. Among these methods, speech recognition is used in several fields including automation, health care and assisting. In this paper, we present a web-based framework that employs speech recognition and can be used in assisting users (or customers) in many facilities such as universities or malls. The components of the system are explained and the used technologies are described. Finally, we show the implementation of an application that uses the proposed framework to help students in IUL university.","PeriodicalId":443170,"journal":{"name":"2018 International Arab Conference on Information Technology (ACIT)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133958164","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}
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