scholarly journals Maximizing Image Information Using Multi-Chimera Transform Applied on Face Biometric Modality

Information ◽  
2021 ◽  
Vol 12 (3) ◽  
pp. 115
Author(s):  
Ahmad Saeed Mohammad ◽  
Dhafer Zaghar ◽  
Walaa Khalaf
Keyword(s):  
Mobile Technology ◽  
Data Reduction ◽  
Research Field ◽  
File Size ◽  
Facial Image ◽  
Information Preservation ◽  
Media Data ◽  
Reconstructed Data ◽  
Face Biometric ◽  
High Information

With the development of mobile technology, the usage of media data has increased dramatically. Therefore, data reduction represents a research field to maintain valuable information. In this paper, a new scheme called Multi Chimera Transform (MCT) based on data reduction with high information preservation, which aims to improve the reconstructed data by producing three parameters from each 16×16 block of data, is proposed. MCT is a 2D transform that depends on constructing a codebook of 256 picked blocks from some selected images which have a low similarity. The proposed transformation was applied on solid and soft biometric modalities of AR database, giving high information preservation with small resulted file size. The proposed method produced outstanding performance compared with KLT and WT in terms of SSIM and PSNR. The highest SSIM was 0.87 for the proposed scheme MCT of the full image of AR database, while the existed method KLT and WT had 0.81 and 0.68, respectively. In addition, the highest PSNR was 27.23 dB for the proposed scheme on warp facial image of AR database, while the existed methods KLT and WT had 24.70 dB and 21.79 dB, respectively.

Facial Image Processing in Computer Vision

2013 ◽  
pp. 1111-1123
Author(s):  
Moi Hoon Yap ◽  
Hassan Ugail
Keyword(s):  
Image Processing ◽  
Computer Vision ◽  
Computer Animation ◽  
Feature Detection ◽  
Research Field ◽  
Future Research ◽  
Expression Recognition ◽  
Facial Image ◽  
Detection Techniques ◽  
Future Challenges

The application of computer vision in face processing remains an important research field. The aim of this chapter is to provide an up-to-date review of research efforts of computer vision scientist in facial image processing, especially in the areas of entertainment industry, surveillance, and other human computer interaction applications. To be more specific, this chapter reviews and demonstrates the techniques of visible facial analysis, regardless of specific application areas. First, the chapter makes a thorough survey and comparison of face detection techniques. It provides some demonstrations on the effect of computer vision algorithms and colour segmentation on face images. Then, it reviews the facial expression recognition from the psychological aspect (Facial Action Coding System, FACS) and from the computer animation aspect (MPEG-4 Standard). The chapter also discusses two popular existing facial feature detection techniques: Gabor feature based boosted classifiers and Active Appearance Models, and demonstrate the performance on our in-house dataset. Finally, the chapter concludes with the future challenges and future research direction of facial image processing.

scholarly journals Sentimental analysis on social media data using R programming

2018 ◽  
Vol 7 (2.31) ◽  
pp. 80 ◽  
Author(s):  
Mandava Geetha Bhargava ◽  
Duvvada Rajeswara Rao
Keyword(s):  
Social Media ◽  
Research Field ◽  
Virtual Currency ◽  
Ongoing Research ◽  
Social Media Data ◽  
Digital Currency ◽  
Alternative Currency ◽  
Different Types ◽  
R Programming ◽  
Media Data

Sentimental Analysis is an ongoing research field in Text Mining Arena to determine the situation of market on particular entity such as Product, Services...Etc. and it can be called as computational treatment of reviews, subjectivity and sentiment of text. Cryptocurrency can be explained as a type of digital estate and devised to mechanize as a form of trade and exchanges that uses cryptography as an encryption technique to secure the transactions and acts as decentralized controlled transaction which is opposed to centralized transactions. Cryptocurrency are a type of virtual currency, digital currency and alternative currency, On basis of categorical, there are different architecture and security protocols which are used in the cryptocurrencies to secure transactions, the different types of cryptocurrency are available in the market such as Bitcoin, Litecoin, and Namecoin…etc. This paper focuses on survey on different types of sentimental analysis methods and main contribution of this paper include sentimental analysis of  social media data on different types of cryptocurrencies on basis of categorical and different terms of cryptocurrency such as Cryptocurrency, virtual currency, digital currency and discussed on trends of crypto currency in present market.  

scholarly journals MENUMBUHKAN NILAI-NILAI KARAKTER MELALUI PENDIDIKAN KHAT AL-‘ARABIY: Studi Kasus di Sekolah Kaligrafi Al-Qur’an (SAKAL) Pondok Pesantren Mamba’ul Ma’arif Denanyar Jombang

2015 ◽  
Vol 3 (1) ◽  
pp. 177-196
Author(s):  
Ayi Sisma Roisudin
Keyword(s):  
Data Collection ◽  
Character Education ◽  
Data Reduction ◽  
Boarding School ◽  
Research Field ◽  
Qualitative Approach ◽  
Data Description ◽  
Data Collector ◽  
History Of ◽  
Collection Methods

The purpose of this study was to examine the understanding character education, education of khat}t} al-‘Arabiy, and the character education that grows khat}t} al-‘Arabiy. The research used qualitative approach. The researcher came the research field as a data collector in Qur'an Calligraphy School (SAKAL) Boarding School Mamba'ul Ma'Arif Denanyar Jombang. The data collection methods used were interviews, observation, and documentation. The analysis of the data is data reduction, data description, and drawing conclusions.The results of the study reveal that the history of khat}t} al-‘Arabiyappearedin Bani Umayyah and continued to develop to the period of Bani Abbasiyah. Then there appeared a calligrapher, Mrs. Muqlah, who later found the writing styles adopted from khat}tquficalled aqlam al-syittah such as: nash}i, thuluth, diwani>, farisi, riq’ah, and qufi.Character education that growsfrom khat al-'Arabiy education are among others religious, honest, discipline, hard working, creative, independent, appreciative, communicative, responsible. The process of establishing character at SAKAL is called taqlidi, which uses sanad as in the memorization of the Koran. Key words: character education, SAKAL, khat}t} al-‘Arabiy, taqlidi

scholarly journals Penerapan Algoritma Elias Delta Codes Dalam Kompresi File Teks

2020 ◽  
Vol 2 (2) ◽  
pp. 109-114
Author(s):  
Nadia Fariza Rizky ◽  
Surya Darma Nasution ◽  
Fadlina Fadlina
Keyword(s):  
Data Compression ◽  
File Size ◽  
Data Utilization ◽  
Original Result ◽  
Data Usage ◽  
Storage Media ◽  
Media Space ◽  
Compression Data ◽  
Media Data ◽  
Transfer Times

File size or large files are not only a problem in terms of storage, but also another problem when communication between computers. Data usage with a larger size will take longer transfer times compared to data that has a smaller size. Therefore to overcome this problem you can use data compression. Seeing the compression of data compression, data compression is needed that can reduce the size of the data, so that it gains the advantage of reducing the use of external storage media space, accelerating the process of transferring data between storage media, data utilization used in this study is the elias delta codes algorithm. Compression is a method used to reduce the bit or data from the original result to a new result. Where this compression will be applied into the algorithm, the elias delta codes algorithm. After getting the results of the compression it will be designed into Microsoft Visual Studio 2008

Facial Image Processing in Computer Vision

2011 ◽  
pp. 179-190
Author(s):  
Moi Hoon Yap ◽  
Hassan Ugail
Keyword(s):  
Image Processing ◽  
Computer Vision ◽  
Computer Animation ◽  
Feature Detection ◽  
Research Field ◽  
Future Research ◽  
Expression Recognition ◽  
Facial Image ◽  
Detection Techniques ◽  
Future Challenges

The application of computer vision in face processing remains an important research field. The aim of this chapter is to provide an up-to-date review of research efforts of computer vision scientist in facial image processing, especially in the areas of entertainment industry, surveillance, and other human computer interaction applications. To be more specific, this chapter reviews and demonstrates the techniques of visible facial analysis, regardless of specific application areas. First, the chapter makes a thorough survey and comparison of face detection techniques. It provides some demonstrations on the effect of computer vision algorithms and colour segmentation on face images. Then, it reviews the facial expression recognition from the psychological aspect (Facial Action Coding System, FACS) and from the computer animation aspect (MPEG-4 Standard). The chapter also discusses two popular existing facial feature detection techniques: Gabor feature based boosted classifiers and Active Appearance Models, and demonstrate the performance on our in-house dataset. Finally, the chapter concludes with the future challenges and future research direction of facial image processing.

scholarly journals Methodology for Developing a Combined Bathymetric and Topographic Surface Model Using Interpolation and Geodata Reduction Techniques

2021 ◽  
Vol 13 (21) ◽  
pp. 4427
Author(s):  
Jacek Lubczonek ◽  
Marta Wlodarczyk-Sielicka ◽  
Malgorzata Lacka ◽  
Grzegorz Zaniewicz
Keyword(s):  
Data Reduction ◽  
Spatial Data ◽  
Interpolation Method ◽  
Research Field ◽  
Unmanned Aircraft ◽  
Practical Implementation ◽  
Surface Model ◽  
Coastal Zones ◽  
Single Beam ◽  
Reduction Techniques

The research in this paper is concerned with the development of a continuous elevation model in the coastal zones of inland waters. The source data for the creation of numerical terrain models were data acquired by contemporary sensors, such as such as a single-beam echosounder and an unmanned aircraft system. Different interpolation methods were tested in the study. A new approach in the research field is an interpolation method based on the processing of datasets with different degrees of spatial data reduction. The authors call it the Spatial Interpolation Method based on Data Reduction (SIMDR). The choice of method is based on quantitative and qualitative analysis, taking into account the type of interpolation and the method of geodata reduction. A proposal for the practical implementation of the method involves script processing, which automates the processes of modeling and error calculation.

scholarly journals Peranan Majelis Taklim Untuk Meningkatkan Kesadaran Beragama

2022 ◽  
Vol 5 (1) ◽  
pp. 77-90
Author(s):  
St. Marwiyah
Keyword(s):  
Data Analysis ◽  
Significant Role ◽  
Data Reduction ◽  
Qualitative Method ◽  
Research Field ◽  
Data Display ◽  
Religious Activities ◽  
Community Activities ◽  
Management Techniques

Abstrak[English]: The research focused on the role of the taklim assembly on the development of Bergama awareness in the community of Bara Subdistrict, with the aim of: to understand the background established by the taklim assembly in Bara Subdistrict, and to understand the activities of the taklim assembly in Bara Subdistrict, understand the role of the taklim assembly in increasing religious awareness, understand the methods the method used in the activities of the majelis taklim. This research uses descriptive qualitative method, which describes the phenomena found in the research field. In collecting data researchers used techniques; observation, interview, documentation. As for data management techniques and data analysis, researchers use; data reduction, data display, and conclusion drawing. The results showed that; majelis taklim was established in Bara Subdistrict because there are still many Muslims who still do not understand the teachings of Islam properly, majelis taklim is also active in carrying out religious activities and community activities. The researcher also found a significant role for the majelis taklim, because it could change the behavior of the members of the majelis taklim in the direction of the teachings of Islam. Abstrak[Indonesia]: Penelitian difokuskan pada peranan majelis taklim terhadap pengembangan kesadaran Bergama masyarakat Kecamatan Bara, dengan tujuan: (1) untuk memahami  latarbelakang didirikan majelis taklim di Kecamatan Bara; (2) untuk memahami kegiatan-kegiatan majelis taklim di Kecamatan Bara; (3) untuk memahami peranan majelis taklim dalam meningkatkan kesadaran beragama, (4) untuk memahami metode-metode yang digunakan dalam kegiatan majelis taklim. Penelitian ini menggunakan metode kualitatif deskriptif, yaitu mendeskripsikan fenomena-fenomena yang ditemukan dalam lapangan penelitian. Dalam mengumpulkan data peneliti menggunakan teknik; observasi, wawancara, dokumentasi. Adapun teknik pengelolaan data dan analisis data, peneliti menggunakan; reduksi data, sajian data, dan penarikan kesimpulan. Hasil penelitian menunjukkan bahwa; majelis taklim didirikan di Kecamatan Bara karena masih banyak umat Islam yang masih kurang memahami ajaran Islam dengan baik, majelis taklim juga aktif melakukan kegiatan-kegiatan keagamaan dan kegiatan kemasyarakatan. Peneliti juga menemukan peranan majelis taklim yang signifikan, karena dapat merubah perilaku anggota-anggota majelis taklim ke arah sesuai dengan tuntunan ajaran Islam.

AAC Decision-Making and Mobile Technology: Points to Ponder

2014 ◽  
Vol 23 (2) ◽  
pp. 104-111 ◽  
Author(s):  
Mary Ann Abbott ◽  
Debby McBride
Keyword(s):  
Decision Making ◽  
Mobile Technology ◽  
Communication System ◽  
Augmentative And Alternative Communication ◽  
Evaluation Process ◽  
Decision Making Process ◽  
Alternative Communication ◽  
Ipod Touch ◽  
Feature Match

The purpose of this article is to outline a decision-making process and highlight which portions of the augmentative and alternative communication (AAC) evaluation process deserve special attention when deciding which features are required for a communication system in order to provide optimal benefit for the user. The clinician then will be able to use a feature-match approach as part of the decision-making process to determine whether mobile technology or a dedicated device is the best choice for communication. The term mobile technology will be used to describe off-the-shelf, commercially available, tablet-style devices like an iPhone®, iPod Touch®, iPad®, and Android® or Windows® tablet.

Word-Finding Support From Mobile Technology Benefits a Woman With Aphasia

2015 ◽  
Vol 24 (1) ◽  
pp. 26-39 ◽  
Author(s):  
Yvonne Gillette
Keyword(s):  
Mobile Technology ◽  
Clinical Education ◽  
Augmentative And Alternative Communication ◽  
Feature Matching ◽  
Mobile Technologies ◽  
Alternative Communication ◽  
Alternative Intervention ◽  
Communication Assessment ◽  
Word Finding ◽  
Intervention Costs

Mobile technology provides a solution for individuals who require augmentative and alternative intervention. Principles of augmentative and alternative communication assessment and intervention, such as feature matching and the participation model, developed with dedicated speech-generating devices can be applied to these generic mobile technologies with success. This article presents a clinical review of an adult with aphasia who reached her goals for greater communicative participation through mobile technology. Details presented include device selection, sequence of intervention, and funding issues related to device purchase and intervention costs. Issues related to graduate student clinical education are addressed. The purpose of the article is to encourage clinicians to consider mobile technology when intervening with an individual diagnosed with mild receptive and moderate expressive aphasia featuring word-finding difficulties.

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