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"This book provides a comprehensive exchange of information on current developments in the management of manufacturing systems and Industry 4.0. The books contributions establish channels of communication and disseminate knowledge among professionals working in manufacturing and related institutions. It features submissions from experts, researchers, academicians and practitioners in relevant fields, who share their knowledge from the field of management of manufacturing systems. The books main theme is Management of Manufacturing Systems with support for Industry 4.0, Logistics and Intelligent Manufacturing Systems and Applications, Cooperation management and its effective applications. Topics include Logistics, RFID Applications, Industrial and Smart Logistics, Intelligent Manufacturing Systems and Applications, New Materials and Smart Technologies for Industry 4.0, Enterprise Information Systems, Innovation and Knowledge Management, and Sequencing solutions for Lean Manufacturing."

"This book presents the outcomes of the International Conference on Intelligent Manufacturing and Automation (ICIMA 2018) organized by the Departments of Mechanical Engineering and Production Engineering at Dwarkadas J. Sanghvi College of Engineering, Mumbai, and the Indian Society of Manufacturing Engineers. It includes original research and the latest advances in the field, focusing on automation, mechatronics and robotics; CAD/CAM/CAE/CIM/FMS in manufacturing; product design and development; DFM/DFA/FMEA; MEMS and Nanotechnology; rapid prototyping; computational techniques; industrial engineering; manufacturing process management; modelling and optimization techniques; CRM, MRP and ERP; green, lean, agile and sustainable manufacturing; logistics and supply chain management; quality assurance and environment protection; advanced material processing and characterization; and composite and smart materials."

"This book introduces concepts and technologies of Intelligent Transportation Systems (ITS). It describes state of the art safety communication protocol called Dedicated Short Range Communication (DSRC), currently being considered for adoption by the USDOT and automotive industry in the US. However, the principles of this book are applicable even if the underlying physical layer protocol of V2X changes in the future, e.g. V2X changes from DSRC to cellular-based connectivity."

"Seiring meluasnya penggunaan komputer dalam dunia pendidikan yang disertai dengan bertambahnya kebutuhan akan pembelajaran yang lebih efektif, menyebabkan terlahirnya inovasi baru dalam dunia Computer Aided Instruction (CAI), yaitu Intelligent Tutoring System (ITS). ITS mampu memberikan pembelajaran yang bersifat individualized kepada setiap siswa sesuai dengan kemampuannya masing-masing. Kemampuan ITS untuk mengadaptasikan pembelajaran sesuai kemampuan siswa merupakan hasil dari kinerja salah satu modul dalam ITS, yaitu Student Model yang mampu mengukur kemampuan siswa. Untuk mengukur kemampuan siswa yang mengandung ketidakpastian, Student Model memerlukan sebuah teknik. Salah satu teknik yang dapat digunakan dan yang dijadikan pembahasan pula dalam laporan Tugas Akhir ini adalah Bayesian Network.Sesuai dengan tema yang diangkat pada Tugas Akhir ini, yaitu Penerapan Bayesian Network pada Student Model, penulis menetapkan bahwa tujuan dari Tugas Akhir ini adalah untuk mengetahui lebih jauh tentang Student Model serta bagaimana Bayesian Network diterapkan dalam Student Model, dan juga untuk membuktikan bahwa Bayesian Network dapat mendukung Student Model dalam menjadikan ITS lebih adaptif. Untuk mencapai tujuan tersebut, penulis meggunakan metodologi berupa studi literatur, analisa, perancangan dan implementasi sistem, serta ujicoba dan penarikan kesimpulan.Hasil akhir yang diperoleh dari penelitian yang dilakukan oleh penulis, setelah dilakukan ujicoba dengan menggunakan beberapa kondisi pada prototipe sistem yang telah dibuat, ternyata mampu membuktikan bahwa Bayesian Network mampu mendukung kinerja dari Student Model."

"ABSTRACTThis study aimed to examine the factors that cause time income (headway)and speed of the bus TransJakarta in each bus station. Observations carried out tosee the influence of headway and speed that cause of waiting time of passangersmore longer. The method carried out with make simulation with using observationdata directly of departure and arriving in each station and speed that using of thebuses. Then simulation result analyzed by using macroscopic modelling andcompared with using the intelligent autonomous vehicle which is developed inLAGIS Laboratory. The automation of driving tasks carries a large number ofbenefits, such as the optimization of the use of transport infrastructures, theimprovement of mobility, the minimization of risks, travel time, and energyconsumption.

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ABSTRAKPenelitian ini dimaksudkan untuk mengkaji faktor yang mempengaruhijarak waktu kedatangan (headway) dan kecepatan (speed) bus TransJakarta disetiap halte bus. Observasi dilakukan untuk melihat pengaruh faktor-faktor yangmempengaruhi headway dan speed yang mengakibatkan waktu tunggu parapenumpang menjadi lebih besar. Metode yang dilakukan dengan melakukansimulasi dengan menggunakan data pengamatan secara langsung waktukeberangkatan bus dan waktu tiba bus di setiap halte serta kecapatan yangdigunakan. Kemudian hasil simulasi dianalisa menggunakan permodelanmacroscopic dan dibandingkan dengan menggunakan bus otomatis yangdikembangkan di labolatorium LAGIS. Kendaraan Otomatis sejak otomatisasitugas-tugas mengemudi membawa sejumlah besar manfaat, seperti optimalisasipenggunaan infrastruktur transportasi, peningkatan mobilitas, minimalisasi risiko,waktu perjalanan, dan konsumsi energi."

"This book introduces concepts and technologies of Intelligent Transportation Systems (ITS). It describes state of the art safety communication protocol called Dedicated Short Range Communication (DSRC), currently being considered for adoption by the USDOT and automotive industry in the US. However, the principles of this book are applicable even if the underlying physical layer protocol of V2X changes in the future, e.g. V2X changes from DSRC to cellular-based connectivity.Fundamental ITS concepts include topics like global positioning system; Vehicle to Vehicle (V2V), Vehicle to Pedestrian (V2P), and Vehicle to Infrastructure (V2I) communications; human-machine interface; and security and privacy. Fundamental concepts are sometimes followed by the real-life test experimental results (such as in V2P Chapter) and description of the performance metrics used to evaluate the results. This book also describes equations and math used in the development of the individual parts of the system.This book surveys current and previous publications for trending research in the ITS domain. It also covers state of the art standards that are in place for the DSRC in the US, starting from the application layer defined in SAE J2735 all the way to physical layer defined in IEEE 802.11.The authors provide a detailed discussion on what is needed to extend the current standards to accommodate future needs of the vehicle communications, such as needs for future autonomous vehicles. Programs and code examples accompany appropriate chapters, for example, after describing remote vehicle target classification function a pseudo code and description is provided. In addition, the book discusses current topics of the technology such as spectrum sharing, simulation, security, and privacy.The intended audience for this book includes engineering graduate students, automotive professionals/engineers, researchers and technology enthusiasts."

"Topik yang diangkat adalah manajemen lalu lintas perkotaan dengan menerapkan Intelligent Transportation System (ITS). Model two fluid adalah salah satu model makroscopik yang menghasilkan karakteristik arus lalu lintas pada jaringan jalan perkotaan. Model ini menggambarkan hubungan antara waktu perjalanan, waktu berhenti dan waktu berjalan setiap km. Dalam hal ini, diambil daerah SCBD (Sudirman Central Business District) Jakarta, Indonesia sebagai area studi. Jaringan jalan dimodelkan pada program scaner studio simulator. Data diperoleh pada tahun 2008 dan untuk memprediksi tahun 2011 digunakan table indeks pertumbuhan lalu lintas Jakarta.Hasil dari pemodelan adalah, dengan menggunakan IAV (Intelligent Autonomous Vehicle) di dalam lingkungan perkotaan dapat meningkatkan manajemen lalu lintas karena akan menghasilkan waktu perjalanan yang lebih singkat dibandingkan dengan kendaraan konvensional. Dengan kemampuannya untuk me-rekonfigurasi ketika terjadi kegagalan mesin, tidak akan berpengaruh pada kendaraan di belakangnya dan kemacetan dapat dihindari. Hal ini berarti, jika membandingkan parameter kualitas lalu lintas dengan menggunakan IAV (n = 0.01 dan Tm = 2.24) lebih baik jika dibandingkan dengan menggunakan kendaraan konvensional (n = 0.03 dan Tm = 2.37). Kecepatan rata-rata untuk IAV 13.61 km/jam dan untuk kendaraan konvensional 12.02 km/jam, ini berarti IAV dapat menghemat lebih banyak waktu perjalanan daripada kendaraan konvensional. Keuntungan lain adalah IAV bersifat ramah lingkungan karena menggunakan electrical power dan dapat mengurangi polusi.

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The topic of this work discusses urban traffic management using intelligent transportation system. The two fluid model is a macroscopic modeling technique which provides characteristics of the performance of traffic flow on an urban road network. The model does this by generating a relationship between trip time, stop time and running time per km. Here, we take SCBD (Sudirman Central Business District) Jakarta, Indonesia as a study area. The network was then modeled in scaner studio simulator. Data collected in 2008 and to predict the traffic volume in 2011, we use traffic growth index for Jakarta.

According to the work presented in this report, the use of IAV in urban environment can improve traffic management since it has shorter time than the use of conventional vehicle. With its ability to reconfigure itself if there is a fault, it has no impact with any other vehicle behind and congestion can be avoided. It means that if we compare parameters quality of traffic by using only IAV (n = 0.01 and Tm = 2.24) is better than using only conventional vehicles (n = 0.03 and Tm = 2.37). Average mean speed for IAV 13.61 km/h and for conventional vehicle 12.02 km/h, it means IAV can save more travel time than manual vehicle. Other benefit of using IAV is environmental friendly since it use electrical power and it can reduce pollution."