Manajemen Kendaraan Ground Handling di Terminal 1 Bandara Internasional Juanda

Ground handling melayani bagasi, penumpang, dan pelayanan pesawat saat didarat seperti pembersihan, bahan bakar, chatering, menarik pesawat hingga apron dan lain lain. Pelayanan pesawat tersebut dinamakan ground support equipment (GSE). GSE ini memiliki banyak persyaratan mengenai waktu dan kecepatan saat kendaraan tersebut berada di apron. Penelitian ini dimaksudkan untuk mengetahui apakah ketersediaan ground support equipment cukup untuk kondisi eksisting. Dalam mencapai tujuan dari penelitian, dilakukan pengumpulan data sekunder yaitu waktu blok on dan blok off, penggunaan gate dan waktu estimasi pelayanan kandaraan ground handling setiap tipe pesawat. Dari data tersebut diperkirakan waktu yang diperlukan untuk melayani masing – masing tipe pesawat. Waktu ini merupakan waktu yang diperlukan untuk beroperasi dari masing – masing kendaraan ground handling. Data peak hour digunakan untuk mengukur kinerja dari kendaraan ground handling. Hasil dari waktu pelayanan kendaraan ground handling ini digunakan untuk memperhitungkan kebutuhan jumlah kendaraan ground handling untuk kondisi saat ini. Hasil penelitian ini menunjukkan kebutuhan kendaraan ground handling di Terminal 1 Bandara Internasional Juanda. Kendaraan Catering 5 kendaraan, ground power unit 10 kendaraan, fuel truck 6 kendaraan, lavatory service 5 kendaraan, baggage carts loading/unloading 5 kendaran, belt loader 9 kendaraan, dan passangers boarding stairs 2 kendaraan

A decentralized framework for multi-agent robotic systems

Over the past few years, decentralization of multi-agent robotic systems has become an important research area. These systems do not depend on a central control unit, which enables the control and assignment of distributed, asynchronous and robust tasks. However, in some cases, the network communication process between robotic agents is overlooked, and this creates a dependency for each agent to maintain a permanent link with nearby units to be able to fulfill its goals. This article describes a communication framework, where each agent in the system can leave the network or accept new connections, sending its information based on the transfer history of all nodes in the network. To this end, each agent needs to comply with four processes to participate in the system, plus a fifth process for data transfer to the nearest nodes that is based on Received Signal Strength Indicator (RSSI) and data history. To validate this framework, we use differential robotic agents and a monitoring agent to generate a topological map of an environment with the presence of obstacles

Wireless sensor networks and their industrial applications

Wireless Sensor Networks (WSN) represent a relatively modern concept which has captured the interest of many in the research community. Coupled with appropriate hardware, they offer great flexibility in terms of their applicability to solving real world problems. This can be seen with applications ranging from environmental issues to healthcare and even artificial intelligence. Much of the work relating to WSN has been predominantly in the research domain. and so it is the purpose of this study to investigate ways in which they can be applied to solve industrial issues. This study particularly considers inventory management in the airline and packaged gas industries where there are many common fundamental requirements. A prototype system is presented which includes a database to record and obtain relevant tracking data in order to facilitate asset identification. Information of how this system may be applied within each industry is also included, in addition to how WSN can be utilised to fulfil the specific needs of individual industries through the use of custom built hardware and sensors. Initial experimental results of this system are also given along with experimental results pertaining to the suitability of WSN devices in industry. Despite WSN devices being still relatively new many advances have been made in order to make them more powerful and also smaller. However, as the size of the devices has decreased very been done with regards to critical components such as the antenna. As a result this work looks at the production of an industrially suitable antenna in terms of its design, construction and testing. Finally, wireless sensing in the automotive industry is briefly discussed. The apphcation of WSN in the automotive industry aims to improve recent spot weld monitoring techniques which determine the quality and integrity of a spot weld in real-time

Manajemen Kendaraan Ground Handling di Terminal 1 Bandara Internasional Juanda

Ground handling melayani bagasi, penumpang, dan pelayanan pesawat saat didarat seperti pembersihan, bahan bakar, chatering, menarik pesawat hingga apron dan lain lain. Pelayanan pesawat tersebut dinamakan ground support equipment (GSE). GSE ini memiliki banyak persyaratan mengenai waktu dan kecepatan saat kendaraan tersebut berada di apron. Penelitian ini dimaksudkan untuk mengetahui apakah ketersediaan ground support equipment cukup untuk kondisi eksisting. Dalam mencapai tujuan dari penelitian, dilakukan pengumpulan data sekunder yaitu waktu blok on dan blok off, penggunaan gate dan waktu estimasi pelayanan kandaraan ground handling setiap tipe pesawat. Dari data tersebut diperkirakan waktu yang diperlukan untuk melayani masing – masing tipe pesawat. Waktu ini merupakan waktu yang diperlukan untuk beroperasi dari masing – masing kendaraan ground handling. Data peak hour digunakan untuk mengukur kinerja dari kendaraan ground handling. Hasil dari waktu pelayanan kendaraan ground handling ini digunakan untuk memperhitungkan kebutuhan jumlah kendaraan ground handling untuk kondisi saat ini. Hasil penelitian ini menunjukkan kebutuhan kendaraan ground handling di Terminal 1 Bandara Internasional Juanda. Kendaraan Catering 5 kendaraan, ground power unit 10 kendaraan, fuel truck 6 kendaraan, lavatory service 5 kendaraan, baggage carts loading/unloading 5 kendaran, belt loader 9 kendaraan, dan passangers boarding stairs 2 kendaraan

Manajemen Kendaraan Ground Handling di Terminal 1 Bandara Internasional Juanda

Makalah ini membahas perihal ground handling, yakni penanganan pesawat pada saat berada di darat, dari pesawat itu blok on hingga blok off. Lebih lanjut, ground handling ini melayani bagasi, penumpang, dan pelayanan pesawat saat di darat. Metode perhitungan didasarkan pada data waktu pelayanan maksimum, rata-rata waktu perpindahan pada kondisi eksisting, dan total waktu sisa setiap jenis kendaraan pada tahun 2015. Setelah dilakukan perhitungan maka diketahui perkiraan jumlah setiap jenis kendaraan ground handling di Terminal 1 Bandara Internasional Juanda di tahun 2020, dan tahun 2025. Hasil yang diperoleh meliputi: passangers boarding stairs 5 kendaraan pada tahun 2020 dan 9 pada tahun 2025; belt loader 20 kendaraan pada tahun 2020 dan 44 pada tahun 2025; baggage carts untuk unloading 5 kendaraan pada tahun 2020 dan 7 pada tahun 2025; baggage carts untuk loading 5 kendaraan pada tahun 2020 dan 20 pada tahun 2025; kendaraan catering  9 kendaraan pada tahun 2020 dan 24 pada tahun 2025; kendaraan lavatory service and fuel truck 10 kendaraan pada tahun 2020 dan 29 ada tahun 2025; dan untuk ground power units 21 kendaraan pada tahun 2020 dan 37pada tahun 2025

New platform for intelligent context-based distributed information fusion

Tesis por compendio de publicaciones[ES]Durante las últimas décadas, las redes de sensores se han vuelto cada vez más importantes y hoy en día están presentes en prácticamente todos los sectores de nuestra sociedad. Su gran capacidad para adquirir datos y actuar sobre el entorno, puede facilitar la construcción de sistemas sensibles al contexto, que permitan un análisis detallado y flexible de los procesos que ocurren y los servicios que se pueden proporcionar a los usuarios. Esta tesis doctoral se presenta en el formato de “Compendio de Artículos”, de tal forma que las principales características de la arquitectura multi-agente distribuida propuesta para facilitar la interconexión de redes de sensores se presentan en tres artículos bien diferenciados. Se ha planteado una arquitectura modular y ligera para dispositivos limitados computacionalmente, diseñando un mecanismo de comunicación flexible que permite la interacción entre diferentes agentes embebidos, desplegados en dispositivos de tamaño reducido. Se propone un nuevo modelo de agente embebido, como mecanismo de extensión para la plataforma PANGEA. Además, se diseña un nuevo modelo de organización virtual de agentes especializada en la fusión de información. De esta forma, los agentes inteligentes tienen en cuenta las características de las organizaciones existentes en el entorno a la hora de proporcionar servicios. El modelo de fusión de información presenta una arquitectura claramente diferenciada en 4 niveles, siendo capaz de obtener la información proporcionada por las redes de sensores (capas inferiores) para ser integrada con organizaciones virtuales de agentes (capas superiores). El filtrado de señales, minería de datos, sistemas de razonamiento basados en casos y otras técnicas de Inteligencia Artificial han sido aplicadas para la consecución exitosa de esta investigación. Una de las principales innovaciones que pretendo con mi estudio, es investigar acerca de nuevos mecanismos que permitan la adición dinámica de redes de sensores combinando diferentes tecnologías con el propósito final de exponer un conjunto de servicios de usuario de forma distribuida. En este sentido, se propondrá una arquitectura multiagente basada en organizaciones virtuales que gestione de forma autónoma la infraestructura subyacente constituida por el hardware y los diferentes sensores

Ambient Agents: Embedded Agents for Remote Control and Monitoring Using the PANGEA Platform

Ambient intelligence has advanced significantly during the last few years. The incorporation of image processing and artificial intelligence techniques have opened the possibility for such aspects as pattern recognition, thus allowing for a better adaptation of these systems. This study presents a new model of an embedded agent especially designed to be implemented in sensing devices with resource constraints. This new model of an agent is integrated within the PANGEA (Platform for the Automatic Construction of Organiztions of Intelligent Agents) platform, an organizational-based platform, defining a new sensor role in the system and aimed at providing contextual information and interacting with the environment. A case study was developed over the PANGEA platform and designed using different agents and sensors responsible for providing user support at home in the event of incidents or emergencies. The system presented in the case study incorporates agents in Arduino hardware devices with recognition modules and illuminated bands; it also incorporates IP cameras programmed for automatic tracking, which can connect remotely in the event of emergencies. The user wears a bracelet, which contains a simple vibration sensor that can receive notifications about the emergency situation

Multi-Agents System Approach to Industry 4.0: Enabling Collaboration Considering a Blockchain

Dissertação de Mestrado em Engenharia InformáticaThe evolution of existing technologies and the creation of new ones paved the way for a new revolution in the industrial sector. With the introduction of the existing and new technologies in the manufacturing environment, the industry is moving towards the fourth industrial revolution, called Industry 4.0. The fourth industrial revolution introduces many new components like 3D printing, Internet of things, artificial intelligence, and augmented reality. The automation of the traditional manufacturing processes and the use of smart technology are transforming industries in a more interconnected environment, where there is more transparent information and decentralised decisions. The arrival of Industry 4.0 introduces industries to a new environment, where their manufacturing processes are more evolved, more agile, and with more efficiency. The principles of Industry 4.0 rely on the interconnection of machines, devices, sensors, and people to communicate and connect. The transparency of information guaranties that decision makers are provided with clear and correct information to make informed decisions and the decentralisation of decisions will create the ability for machines and systems to make decisions on their own and to perform tasks autonomously. Industry 4.0 is making manufacturing processes more agile and efficient, but due to the fast pace of trends and the shift from the traditional mass production philosophy towards the mass customisation, following the Industry 4.0 guidelines might not be enough. The mass customisation paradigm was created from the desire that customers have in owning custom made products and services, tailor made to their needs. The idea to perform small tweaks in a product to face the needs of a consumer group, keeping the production costs like the ones from the mass production, without losing efficiency in the production. This paradigm poses great challenges to the industries, since they must be able to always have the capability to answer the demands that may arise from the preparation and production of personalised products and services. In the meantime, organisations will try to increasingly mark its position in the market, with competition getting less relevant and with different organisations worrying less with their performance on an individual level and worrying more about their role in a supply chain. The need for an improved collaboration with Industry 4.0 is the motivation for the model proposed in this work. This model, that perceives a set of organisations as entities in a network that want to interact with each other, is divided into two parts, the knowledge representation and the reasoning and interactions. The first part relies on the Blockchain technology to securely store and manage all the organisation transactions and data, guaranteeing the decentralisation of information and the transparency of the transactions. Each organisation has a public and private profile were the data is stored to allow each organisation to evaluate the others and to allow each organisation to be evaluated by the remainder of the organisations present in the network. Furthermore, this part of the model works as a ledger of the transactions made between the organisations, since that every time two organisations negotiate or interact in any way, the interaction is getting recorded. The ledger is public, meaning that every organisation in the network can view the data stored. Nevertheless, an organisation will have the possibility, in some situations, to keep transactions private to the organisations involved. Despite the idea behind the model is to promote transparency and collaboration, in some selected occasions organisations might want to keep transactions private from the other participants to have some form of competitive advantage. The knowledge representation part also wants to provide security and trust to the organisation that their data will be safe and tamper proof. The second part, reasoning and interactions, uses a Multi-Agent System and has the objective to help improve decision-making. Imagining that one organisation needs a service that can be provided by two other organisations, also present in the network, this part of the model is going to work towards helping the organisations choose what is the best choice, given the scenario and data available. This part of the model is also responsible to represent every organisation present in the network and when organisations negotiate or interact, this component is also going to handle the transaction and communicate the data to the first part of the model.A constante evolução de tecnologias atuais e a criação de novas tecnologias criou as condições necessárias para a existência de uma nova revolução industrial. Com a evolução de dispositivos móveis e com a chegada de novas tecnologias e ferramentas que começaram a ser introduzidas em ambiente industrial, como a impressão 3D, internet das coisas, inteligência artificial, realidade aumentada, entre outros, a industria conseguiu começar a explorar novas tecnologias e automatizar os seus processos de fabrico tradicionais, movendo as industrias para a quarta revolução industrial, conhecida por Industria 4.0. A adoção dos princípios da Indústria 4.0 levam as indústrias a evoluir os seus processos e a ter uma maior e melhor capacidade de produção, uma vez que as mesmas se vão tornar mais ágeis e introduzir melhorias nos seus ambientes de produção. Uma dessas melhorias na questão da interoperabilidade, com máquinas, sensores, dispositivos e pessoas a comunicarem entre si. A transparência da informação vai levar a uma melhor interpretação dos dados para efetuar decisões informadas, com os sistemas a recolher cada vez mais dados e informação dos diferentes pontos do processo de manufatura. (...