Pub Date : 1900-01-01DOI: 10.5455/jjcit.71-1589089941
Hazem W. Marar, Rosana Marar
{"title":"Hybrid Blockchain","authors":"Hazem W. Marar, Rosana Marar","doi":"10.5455/jjcit.71-1589089941","DOIUrl":"https://doi.org/10.5455/jjcit.71-1589089941","url":null,"abstract":"","PeriodicalId":36757,"journal":{"name":"Jordanian Journal of Computers and Information Technology","volume":"1 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70820289","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 : 1900-01-01DOI: 10.5455/jjcit.71-1668279800
R. Rajagede, Kholid Haryono, Rizan Qardafil
Attending lectures is a common way to learn Islamic knowledge. The speaker talks in front of the forum, and participants take notes on the lecture material. Many participants listen to the lecture while taking notes either in books or on other digital devices to avoid forgetting the discussed topics. However, note-taking during the lecture can be challenging, with no complementing module from the speaker. Lecturers have different paces and varying ways of delivering. In addition, sometimes, participants cannot always focus during the lecture. Those factors can cause problems in the note-taking process: some details can be lost or even shift the meaning. For note-taking on sensitive topics, such as verses from the Quran, the note-taking process must be done carefully and avoid mistakes. In this study, we proposed an autocomplete system for the Indonesian translation of the Quran that will help the user in note-taking Islamic lectures. The user writes down words, the parts of the Quran verse that he hears, and the system will retrieve the most similar verse. With semantic retrieval, the user does not need to write down the exact words of the verses he heard. The system can also handle typographical-error that usually occur in note-taking. We use Fasttext and calculate the cosine distance between the query and verses for the retrieval process. We also performed several optimization steps to create a robust system for the production stage. The system is evaluated by comparing how close the returned verse is with the ground truth. The proposed method's result accuracy reached 79.41% for the top 5 retrieved verse and 85.29% for the top 10 retrieved verse.
{"title":"SEMANTIC RETRIEVAL FOR INDONESIAN QURAN AUTOCOMPLETION","authors":"R. Rajagede, Kholid Haryono, Rizan Qardafil","doi":"10.5455/jjcit.71-1668279800","DOIUrl":"https://doi.org/10.5455/jjcit.71-1668279800","url":null,"abstract":"Attending lectures is a common way to learn Islamic knowledge. The speaker talks in front of the forum, and participants take notes on the lecture material. Many participants listen to the lecture while taking notes either in books or on other digital devices to avoid forgetting the discussed topics. However, note-taking during the lecture can be challenging, with no complementing module from the speaker. Lecturers have different paces and varying ways of delivering. In addition, sometimes, participants cannot always focus during the lecture. Those factors can cause problems in the note-taking process: some details can be lost or even shift the meaning. For note-taking on sensitive topics, such as verses from the Quran, the note-taking process must be done carefully and avoid mistakes. In this study, we proposed an autocomplete system for the Indonesian translation of the Quran that will help the user in note-taking Islamic lectures. The user writes down words, the parts of the Quran verse that he hears, and the system will retrieve the most similar verse. With semantic retrieval, the user does not need to write down the exact words of the verses he heard. The system can also handle typographical-error that usually occur in note-taking. We use Fasttext and calculate the cosine distance between the query and verses for the retrieval process. We also performed several optimization steps to create a robust system for the production stage. The system is evaluated by comparing how close the returned verse is with the ground truth. The proposed method's result accuracy reached 79.41% for the top 5 retrieved verse and 85.29% for the top 10 retrieved verse.","PeriodicalId":36757,"journal":{"name":"Jordanian Journal of Computers and Information Technology","volume":"1 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70820934","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 : 1900-01-01DOI: 10.5455/jjcit.71-1621353647
Alok Kumar, Lekhraj Lekhraj, Anoj Kumar
{"title":"WEIGHTED GREY WOLF OPTIMIZER WITH IMPROVED CONVERGENCE RATE IN TRAINING MULTI-LAYER PERCEPTRON TO SOLVE CLASSIFICATION PROBLEMS","authors":"Alok Kumar, Lekhraj Lekhraj, Anoj Kumar","doi":"10.5455/jjcit.71-1621353647","DOIUrl":"https://doi.org/10.5455/jjcit.71-1621353647","url":null,"abstract":"","PeriodicalId":36757,"journal":{"name":"Jordanian Journal of Computers and Information Technology","volume":"1 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70820679","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 : 1900-01-01DOI: 10.5455/JJCIT.71-1554841475
Z. Mortezaie, H. Hassanpour
Face recognition is used in many security and surveillance applications. Some issues, such as aging, partial occlusion, variation in pose and illumination and facial expression directly affect the performance of face recognition approaches. Usually, in many applications, such as checking the passport and visa, images in the database are not updated continuously. In these cases, aging leads to change the important features of the face image. Hence, face recognition across aging can be considered as a common issue in many security and surveillance systems. In this paper, some existing face recognition approaches, in terms of robustness to aging, have been reviewed briefly. Also, the experimental results from these methods have been compared using the common databases in age-invariant face recognition applications. The comparison results indicate that the approaches which consider both component-based representation of facial images and identity factors outperform the other existing methods.
{"title":"A SURVEY ON AGE INVARIANT FACE RECOGNITION METHODS","authors":"Z. Mortezaie, H. Hassanpour","doi":"10.5455/JJCIT.71-1554841475","DOIUrl":"https://doi.org/10.5455/JJCIT.71-1554841475","url":null,"abstract":"Face recognition is used in many security and surveillance applications. Some issues, such as aging, partial occlusion, variation in pose and illumination and facial expression directly affect the performance of face recognition approaches. Usually, in many applications, such as checking the passport and visa, images in the database are not updated continuously. In these cases, aging leads to change the important features of the face image. Hence, face recognition across aging can be considered as a common issue in many security and surveillance systems. In this paper, some existing face recognition approaches, in terms of robustness to aging, have been reviewed briefly. Also, the experimental results from these methods have been compared using the common databases in age-invariant face recognition applications. The comparison results indicate that the approaches which consider both component-based representation of facial images and identity factors outperform the other existing methods.","PeriodicalId":36757,"journal":{"name":"Jordanian Journal of Computers and Information Technology","volume":"1 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70819526","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 : 1900-01-01DOI: 10.5455/jjcit.71-1556375171
J. Azzeh, M. Abdo, I. V. Zotov
{"title":"A PARALLEL PIPELINED PACKET SWITCH ARCHITECTURE FOR MESH-CONNECTED MULTIPROCESSORS WITH INDEPENDENTLY ROUTED FLITS","authors":"J. Azzeh, M. Abdo, I. V. Zotov","doi":"10.5455/jjcit.71-1556375171","DOIUrl":"https://doi.org/10.5455/jjcit.71-1556375171","url":null,"abstract":"","PeriodicalId":36757,"journal":{"name":"Jordanian Journal of Computers and Information Technology","volume":"1 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70819591","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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