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"This book provides a platform for exploring nature-inspired optimization techniques in the context of imaging applications. Optimization has become part and parcel of all computational vision applications, and since the amount of data used in these applications is vast, the need for optimization techniques has increased exponentially. These accuracy and complexity are a major area of concern when it comes to practical applications. However, these optimization techniques have not yet been fully explored in the context of imaging applications. By presenting interdisciplinary concepts, ranging from optimization to image processing, the book appeals to a broad readership, while also encouraging budding engineers to pursue and employ innovative nature-inspired techniques for image processing applications."

"This book constitutes the refereed proceedings of the First International Conference, TPNC 2012, held in Tarragona, Spain, in October 2012. The 12 revised full papers presented together with 6 invited talks were carefully reviewed and selected from 34 submissions. The papers are organized in topical sections on nature-inspired models of computation; synthesizing nature by means of computation; nature-inspired materials; and information processing in nature."

"This book contains research contributions from leading global scholars in nature-inspired computing. It includes comprehensive coverage of each respective topic, while also highlighting recent and future trends. The contributions provides readers with a snapshot of the state of the art in the field of nature-inspired computing and its application. This book has focus on the current researches while highlighting the empirical results along with theoretical concepts to provide a comprehensive reference for students, researchers, scholars, professionals and practitioners in the field of Advanced Artificial Intelligence, Nature-Inspired Algorithms and Soft Computing."

"This book constitutes the proceedings of the First International Conference on Biomimetic and Biohybrid Systems, Living Machines 2012, held in Barcelona, Spain, in July 2012. The 28 full papers and 33 extended abstracts presented in this volume were carefully reviewed and selected for inclusion in this book. The conference addresses themes related to the development of future real-world technologies which will depend strongly on our understanding and harnessing of the principles underlying living systems and the flow of communication signals between living and artificial systems."

"The low-cost Wireless Sensor Network (WSN) consists of small battery powered devices called sensors, with limited energy capacity. Once deployed, accessibility to any sensor node for maintenance and battery replacement is not feasible due to the spatial scattering of the nodes. This will lead to an unreliable, limited lifetime and a poor connectivity network. In this paper a novel bio-inspired cluster-based deployment algorithm is proposed for energy optimization of the WSN and ultimately to improve the network lifetime. In the cluster initialization phase, a single cluster is formed with a single cluster head at the center of the sensing terrain. The second phase is for optimum cluster formation surrounding the inner cluster, based on swarming bees and a piping technique. Each cluster member distributes its data to its corresponding cluster head and the cluster head communicates with the base station, which reduces the communication distance of each node. The simulation results show that, when compared with other clustering algorithms, the proposed algorithm can significantly reduce the number of clusters by 38% and improve the network lifetime by a factor of 1/4."

"Kami mempelajari tentang pembelokan cahaya pada medan gravitasi global monopole. Kami menggunakan pendekatan medan kuat saat cahaya relatif dekat dengan lubang hitam. Kami menemukan bahwa medan gravitasi global monopole akan memperbesar sudut pembelokan cahaya. Parameter EiBI juga akan memperbesar sudut defleksi, namun itu hanya terjadi pada saat impact parameter bernilai kecil.

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We examine deflection of light in global monopole gravitational field in Eddington-inspired Born-Infeld theory. We use strong field approach when light relatively close to the black hole. We discover that the global monopole gravitational field will increase the deflection angle. EiBI parameter will also increase the deflection angle, but that only happens when the impact parameter is small."

"The low-cost Wireless Sensor Network (WSN) consists of small battery powered devices called sensors, with limited energy capacity. Once deployed, accessibility to any sensor node for maintenance and battery replacement is not feasible due to the spatial scattering of the nodes. This will lead to an unreliable, limited lifetime and a poor connectivity network. In this paper a novel bio-inspired cluster-based deployment algorithm is proposed for energy optimization of the WSN and ultimately to improve the network lifetime. In the cluster initialization phase, a single cluster is formed with a single cluster head at the center of the sensing terrain. The second phase is for optimum cluster formation surrounding the inner cluster, based on swarming bees and a piping technique. Each cluster member distributes its data to its corresponding cluster head and the cluster head communicates with the base station, which reduces the communication distance of each node. The simulation results show that, when compared with other clustering algorithms, the proposed algorithm can significantly reduce the number of clusters by 38% and improve the network lifetime by a factor of 1/4."

"Peningkatan tren belanja online dari platform livestream shopping semakin meningkat semenjak terjadinya pandemi COVID-19. Penelitian ini membahas terkait pengaruh dari inspirasi pelanggan terhadap intensi engagement dalam interaksi antara streamer dan viewer yang fokus pada platform livestream shopping TikTok Shop. Data dikumpulkan dari 300 responden warga negara Indonesia usia 18 hingga 34 tahun yang pernah melakukan pembelian saat menonton livestream shopping TikTokShop. Penelitian ini merupakan penelitian kuantitatif yang dianalisis dengan metode partial least square - structural equation modeling (PLS-SEM) melalui perangkat lunak SmartPLS 4. Hasil dari penelitian ini menunjukkan bahwa content diagnosticity, vicarious expression, source credibility, social presence, dan telepresence memiliki pengaruh positif secara signifikan pada inspired-by state. Kemudian inspired-by state memiliki pengaruh positif secara signifikan pada inspired-to state. Selanjutnya, inspired-to state memiliki pengaruh positif secara signifikan pada intentions to engage in livestream shopping.

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The popularity of online shopping through livestream shopping platforms has grown rapidly since the COVID-19 pandemic. This research looks at how customer inspiration affects their intention to engage in livestream shopping, focusing on TikTok Shop. Data was collected from 300 Indonesian citizens respondents aged 18 to 34 who had made a purchase while watching TikTok Shop livestreams. The research uses a quantitative approach and analyzes the data with Partial Least Squares - Structural Equation Modeling (PLS-SEM) using SmartPLS 4 software. The research findings show that factors such as content diagnosticity, vicarious expression, source credibility, social presence, and telepresence all have a significantly positive impact on the inspired-by state. Then, the inspired-by state has a significantly positive impact on the inspired-to state. Furthermore, the inspired-to state also has a significantly positive impact on the intentions to engage in livestream shopping."

"Kami menyajikan analisis rinci tentang properti termodinamika serta mekanisme transisi fasa yang terjadi pada lubang hitam bermuatan listrik di teori gravitasi Eddington inspired Born-Infeld. Properti termodinamika diperoleh melalui metode surface gravity, dan analisis struktur fasa serta konfigurasi stabilitas lubang hitam dilakukan berdasarkan kalor spesifik serta energi bebasnya. Ditemukan bahwa struktur fasa lubang hitam bermuatan listrik di teori gravitasi Eddington inspired Born-Infeld baik di ruang de Sitter dan Anti de Sitter berperilaku seperti lubang hitam Schwarzschild dalam batas besar ?, dan hal ini mengindikasikan bahwa lubang hitam Schwarzschild merupakan preferred state pada teori gravitasi EiBI.

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We present a detailed analysis of the thermodynamics and phase transition phenomena of electrically charged black holes in Eddington inspired Born Infeld theory of gravity. The thermodynamics properties are obtained through the surface gravity method that are well known in black hole mechanics. We analyse the phase structure and the stability configuration of the black holes through the property of its specific heat and free energy. It is found that the phase structure of electrically charged black holes in Eddington inspired Born Infeld both in de Sitter and Anti de Sitter spacetime behaves like Schwarzschild black holes in the large limit of , therefore indicating that it is the preferred state of the black holes."