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"This book includes a selection of reviewed papers presented at the 9th China Academic Conference on Printing and Packaging, which was held in November 2018 in Shandong, China. The conference was jointly organized by the China Academy of Printing Technology and Qilu University of Technology (Shandong Academy of Sciences). With 8 keynote talks and over 200 presented papers on graphic communication and packaging technologies, the conference attracted more than 300 scientists.The proceedings cover the recent findings in color science and technology, image processing technology, digital media technology, mechanical engineering and numerical control, materials and detection, digital process management technology in printing and packaging, and other technologies. As such, the book is of interest to university researchers, R&D engineers and graduate students in the field of graphic arts, packaging, color science, image science, material science, computer science, digital media, and network technology."

"This book continues first one of the same authors Adaptive Image Processing Algorithms for Printing and presents methods and software solutions for copying and scanning various types of documents by conventional office equipment, offering techniques for correction of distortions and enhancement of scanned documents; techniques for automatic cropping and de-skew; approaches for segmentation of text and picture regions; documents classifiers; approach for vectorization of symbols by approximation of their contour by curves; methods for optimal compression of scanned documents, algorithm for stitching parts of large originals; copy-protection methods by microprinting and embedding of hidden information to hardcopy; algorithmic approach for toner saving. In addition, method for integral printing is considered. Described techniques operate in automatic mode thanks to machine learning or ingenious heuristics. Most the techniques presented have a low computational complexity and memory consumption due to they were designed for firmware of embedded systems or software drivers. The book reflects the authors practical experience in algorithm development for industrial R&D. "

"This edited volume comprises select chapters on advanced technologies for 3D printing and additive manufacturing and how these technologies have changed the face of direct, digital technologies for rapid production of models, prototypes and patterns. Because of its wide applications, 3D printing and additive manufacturing technology has become a powerful new industrial revolution in the field of manufacturing. The evolution of 3D printing and additive manufacturing technologies has changed design, engineering and manufacturing processes across industries such as consumer products, aerospace, medical devices and automotives. The objective of this book is to help designers, R&​D personnel, and practicing engineers understand the state-of-the-art developments in the field of 3D Printing and Additive Manufacturing"

"The international conference on Advances in Computing and Information technology (ACITY 2012) provides an excellent international forum for both academics and professionals for sharing knowledge and results in theory, methodology and applications of Computer Science and Information Technology. The Second International Conference on Advances in Computing and Information technology (ACITY 2012), held in Chennai, India, during July 13-15, 2012, covered a number of topics in all major fields of Computer Science and Information Technology including: networking and communications, network security and applications, web and internet computing, ubiquitous computing, algorithms, bioinformatics, digital image processing and pattern recognition, artificial intelligence, soft computing and applications. "

"Fused depositiom modeling (FDM) menawarkan keuntungan unik menuju manufaktur fleksibel, yang dapat digunakan untuk membuat scaffold dengan geometris kompleks dan struktur internal yang berpori. Untuk meningkatkan kinerja biologis printedscaffold, sangat penting untuk menentukan biomaterial yang sesuai dan sifat mekanisnya yang terikat. Sifat mekanik memiliki peran penting dalam menentukan kinerja scaffold medis, sehingga mempengaruhi kinerja produk medis rekayasa jaringan. Akibatnya, pengaruh parameter printing pada berbagai jenis biopolimer yang berbeda untuk pembuatan scaffold masih bervariasi dan memerlukan pendalaman lebih lanjut. Penelitian yang diusulkan bertujuan untuk mempelajari pengaruh dan kelayakan parameter printing 3D dalam meningkatkan sifat mekanik, sekaligus memahami faktor biologis perancah TEMP (Tissue Engineered Medical Product) berdasarkan bahan biopolimer yang berbeda. Tujuannya adalah langkah awal menuju pemanfaatan pendekatan baru dalam pembuatan TEMP dengan cara yang lebih canggih melalui penggunaan teknik 3D pemodelan deposisi fusi. Penelitian dilakukan dengan membandingkan berbagai kinerja mekanik dan aspek biologis yang sesuai antara ABS (acrylonitrile butadiene styrene) dengan PLA (poly-lactic acid).

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Fused deposition modeling (FDM) offers unique advantages for flexible manufacturing, which can be employed to fabricate scaffolds with complex shapes and internal porous structures. To improve the biological performance of printed scaffolds, it is crucial to determine suitable biomaterials and their mechanical attached properties. Mechanical properties have a significant role in establishing the functionality of a medical scaffold, thus affecting the performance of the tissue-engineered medical product. Consequently, the influence of printing parameters in different biopolymer for scaffold manufacturing still varies and require further investigation. The proposed research aims to study the influence and feasibility of 3D printing parameters in improving mechanical properties, while also understanding biological factors of TEMP (Tissue Engineered Medical Product) scaffold based on different biopolymer materials. The aim is an initial step toward utilizing a novel approach in manufacturing TEMP in a more sophisticated manner through employing the fused deposition modeling 3D technique. Research is conducted by comparing various mechanical performances and the corresponding"

"Proses dispersi pigmen merupakan proses paling penting dan kompleks pada manufaktur tinta cetak. Sebuah perusahaan manufaktur tinta cetak multinasional memproduksi tinta cetak melalui produk setengah jadi atau intermediate yang kemudian dikonversi menjadi tinta cetak siap pakai. Pigmen konsentrat merupakan intermediate dengan proses manufaktur yang paling kompleks karena melibatkan proses dispersi pigmen. Namun, selama periode 2019-2021 nilai persentase Right First Time produksi pigmen konsentrat ada di bawah 70%. Analisis penyebab cacat untuk meningkatkan kualitas pigmen konsentrat sulit dilakukan karena banyaknya faktor yang terlibat dalam prosesnya. Seiring dengan perkembangan teknologi, penggunaan metode Data Mining pada dunia industri telah banyak diteliti. Salah satu aktivitas industri yang dilakukan dengan metode Data Mining adalah klasifikasi kualitas. Pada penelitian ini dilakukan pemodelan klasifikasi kualitas tinta cetak berdasarkan proses dispersi pigmen menggunakan Decision Tree, C4.5 dan CART. Penelitian ini dilakukan dengan kerangka kerja QM-CRISP-DM merujuk pada penelitian Schafer et al. (2018). Data didapatkan dari logbook produksi dan database ERP perusahaan dari tahun 2019-2021. Model dibuat dengan menggunakan 15 variabel independen dengan target variabel kehalusan partikel, cacat atau tidak cacat. Penggunaan metode over-sampling dengan metode cross-validation menghasilkan akurasi tertinggi, yaitu 83.33%. Perbaikan proses guna mendapat produk yang tidak cacat diajukan berdasarkan model yang telah dibuat.

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The pigment dispersion process is the most important and complex process in printing ink manufacturing. A printing ink manufacturing company produces ink through semi-finished or intermediate products. Pigment concentrate is an intermediate with the most complex manufacturing process because it involves a pigment dispersion process. However, during the 2019-2021 period, the percentage value of the Right First-Time percentage of concentrated pigment production is below 70%. Analysis of the causes of defects to improve the quality of pigment concentrates is difficult because of the many factors involved in the process. Along with technological developments, the use of Data Mining methods in the industrial world has been widely studied. One of the industrial activities carried out using the Data Mining method is quality classification. In this study, a modeling of the quality classification of printing ink based on the pigment dispersion process was carried out using Decision Tree, C4.5 and CART. This research was conducted using the QM-CRISP-DM framework referring to the research of Schafer et al. (2018). The data is obtained from the production logbook and the company's ERP database from 2019-2021. The model is made using 15 independent variables with particle fineness as target variable, defect and not defect. Model with balanced dataset by SMOTE and trained by cross-validation method showed accuracy at 83.33%. Furthermore, improvement actions were proposed based on the constructed model"