Beef quality is determined by a number of parameters; some of which include size, texture, color characteristic or meaty smell. The aim of this research is to make an application to track the meat quality. The application built is based on mobile devices using Java programming language on the Android, integrated with Android SDK, Eclipse and OpenCV.
The image processing method used preprocessing, k-means clustering, and the analysis was performed statistically with mean and standard deviation. The application made could be used to search the significant k-values and be able to detect the quality level by giving an accuracy level of 80%. Beef Quality Identification Using Threshold Method and Decision Tree Classification Based on Android Smartphone Adi, K. View all related documents based on references. 2008) Indonesian National Standard for Carcass and Beef Quality SNI 3932.
2015) Proceedings - 2015 4th International Conference on Instrumentation, Communications, Information Technology and Biomedical Engineering, ICICI-BME 2015, art. Regression analysis and discriminant analysis for measurement of accuracy level contain thermogram images (2014) Electrician Engineering Journal, UNILA, 8(2). The regression method to detect breast cancer thermography images (2013) International Journal of Electronics Engineering Research (IJEER), 5(1).
Principal Component Analysis with Mean and Entropy Values for Thermal Image Classification (2012) International Journal Computer and Science Technology (IJCST Image Identification to Identify Type of Meats Using Wavelet Haar Transformation Thesis, Universitas Diponegoro).
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Munadi, Henry Kristianto, Mochammad Ariyanto, Ismoyo Haryanto, Hari Peni Julianti 100 Experiment of Networked Control System (NCS) Using Network Emulator
Juningtyastuti, Fransiskus Allan Gunawan
220 Phantom Volume Calculation for Computed Tomography (CT) Scan Images Kusworo Adi, Catur Edi Widodo, Aris Sugiharto, Qidir Maulana B.S., Adi Pamungkas 224 Design and Development of Android-Based Cloud ECG Monitoring System.
Kahlil F., Muhammad Hamdani Rizal, Muhammad Raid Mukhtar, Riri Fitri Sari
- Ibrahim, Lela Nurpulaela
317 Deteksi rambu lalu lintas berbasis HOG dan PHOG menggunakan biner SVM dan k-NN Aris Sugiharto, Agus Harjoko. Kurniawan Teguh Martono, Cahya Setya Utama, Bambang Sulistiyanto, Merry Christiyanto 327 Modul ST-DBSCAN Clustering di SpagoBI untuk sebaran hotspot di Indonesia. 336 Evaluasi tata kelola TI untuk mendukung operasional TI Sangat Baik Berdasarkan COBIT 4.1 di PT Timah Tbk.
340 Discovering the Automation of Higher Education Quality Assurance System (QAS-HE) in Indonesia using DevOps approach. 351 Information Technology Trends in E-Agriculture: A Systematic Literature Review Erick Fernando, Setiawan Assegaff, Hetty Rohayani AH. 361 Analysis of Technology Adoption of Instagram as a Marketing Tool by Small Medium Enterprise Trianggoro Wiradinata, Bobby Iswandi.
367 Commodity Cluster using single system image based on Linux/Kerrighed for high performance computing. Rizal Isnanto, Rinta Kridalukmana, Kurniawan Teguh Martono 388 Information Technology Audit for Management Evaluation Using COBIT and IT Security. 434 Path Loss Model Estimation based on measurements of off-body and on-body communication using textile antenna at 2.45 GHz.
Basari, Novi Yohanna, Ria Aprilliyani, Rian Gilang Prabowo
An abandoned object detection system based on double background segmentation 2009 Sixth IEEE International Conference on Advanced Video and Signal-Based Surveillance. Content-based image retrieval using color and texture feature extraction in Android International Conference on Information Communication and Embedded Systems (ICICES2014). Feature Extraction of Non-Uniform Food Items Using RGB and RGB-D Data Combined with Shape Models 2011 IEEE International Conference on Robotics and Biomimetics.
One of the nutrients in beef that is very beneficial to the human body is protein. The clearly positive voltage peak of the P300 typically occurs approximately 300 milliseconds after stimulus onset presented by the so-called 'oddball paradigm', in which low-probability target stimuli are intermixed with high-probability nontargets. The performance of gap dischargers is determined by the electrical and thermal properties of the ZnO block.
This condition can lead to the risk of thermal runaway [3] resulting in major damage to ZnO dischargers. Peak signal-to-noise ratio (PSNR) and normalized correlation (NC) are used to evaluate the performance of the algorithm. Simulations on different images are performed to evaluate the invisibility and robustness of the proposed scheme.
The rapid development of the Internet has resulted in new challenges in protecting copyrighted digital products. In the watermarking technique, the extracted hidden information by inserting hidden information into a digital product can be used to protect the copyright of the digital product. Motivated by the advantages of the contourlet transform, we will focus on the image watermarking technique in the contourlet domain.
Unlike the conventional methods based on sum-rate maximization or sum-mean-squares error minimization, this article focuses on maximizing the energy efficiency (EE) of the system. We look for the optimal beamformers that maximize the EE of the system depending on the power constraint per user, while guaranteeing the quality of service of each user in terms of the user rate. The numerical results show that the proposed method outperforms the existing methods in terms of the achievable EE.
Optimal designs of the coding and postcoding matrices for the interference channels are mathematically challenging due to the nonconvexity associated with the optimization problems. Extensive studies have focused on the design of transmission beamformers to maximize the speed of the sum of the systems [1], [3]. NMSE shows a very good result and close to the result of previous research.
Cognitive radio appears to be one of the solutions to the limitations of existing spectrum.
