1,727,635 research outputs found

    Piezoelectric energy harvesting from roadway

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    Energy harvesting technologies have attracted much attention as an alternative power source of roadway accessories in different scales. Piezoelectric materials, which have been widely used in sensor technologies due to their cost-effectiveness, are capable of producing electrical energy from mechanical energy. Therefore, piezoelectric transducers can be designed to harvest the wasted mechanical energy generated under wheel loading that can be stored in an electronic capacitor or integrated with sensors for in-situ road condition monitoring. This dissertation aims to develop a novel design of a piezoelectric transducer with optimized geometry for energy harvesting under vehicular loading in the roadway. The novel Bridge transducer with layered poling is designed to increase the piezoelectric coefficient and the relative dielectric permittivity, which produces much higher energy than traditional transducers. Finite element analysis (FEA) was conducted to predict the generated energy output and the resulted mechanical stress in the lead zirconate titanate (PZT) transducer. The results of the optimization analysis indicate that the optimized geometry parameters can generate the maximum energy output within the stress failure criteria. Later, an energy harvester module that contains multiple stacked transducers, 64 novel transducers, was fabricated and tested under single pulse and cyclic loading events. The main objectives of this part were to evaluate the energy output and fatigue behavior of the piezoelectric energy harvester using laboratory testing and numerical simulation. The analysis results showed that two different material failure models need to be considered in relation to mechanical failure of the Bridge transducer, namely tensile and shear failure. This emphasizes that the optimum design of energy module should consider the balance of energy output and fatigue life that are affected by the fabrication of a single Bridge transducer and the packaging design of the energy module. To take into account the nature of the energy harvester-pavement interaction and to achieve better computation efficiency, the effect of this interaction on pavement responses was studied using a decoupled approach. First, a 3D pavement model was built, and then the pavement responses under the tire contact stresses were calculated. The effects of energy harvester-pavement interaction at different locations, horizontally and vertically, were also analyzed. The results show that the maximum power output of the energy harvester module is around 122mW at a vehicle speed of 65mph and 3 inches embedded depth. Furthermore, embedding the energy harvesting module below 3 inches from the pavement surface is the best location to maximize both power output and service life. Finally, to reveal the potentials of some important technologies for harvesting energy from a pavement network, a case study is discussed, which uses the New Jersey roadway network as the example for analysis. The potential of electrical energy generation for thermoelectric and piezoelectric (cymbal and novel bridge design) technologies were considered. Based on available energy harvesting technologies, a thermoelectric-based pipe system covering the entire New Jersey roadway network may potentially collect 20.11 GWh electrical energy per day, while a piezoelectric transducer system may collect around 3.74 and 10.01MWh of electrical energy per day for cymbal and novel bridge transducer designs, respectively.Ph.D.Includes bibliographical referencesby Abbas Fadhil Jasi

    Optimization of pavement preservation strategy considering cost and environmental impacts

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    Road maintenance is crucial for the purpose of retarding deterioration of pavement, which is a complex and continuous process due to the interaction of heavy traffic, environmental condition, and material aging. The combination of increased traffic and lack of appropriate maintenance causes a higher rate of degeneration in the roads. Transportation agencies need to develop a system for disseminating limited funds and decide the timing to conduct maintenance and repairs. In order to establish a cost-effective budget and achieve the optimum utilization of available resources, the agency needs to decide which maintenance treatment to use and where and when to apply it. The primary objective of this dissertation is to develop network-level pavement preservation decisions considering multiple objectives of cost and environmental impacts. This research will produce multi-objective optimization models designed to provide highway agencies with means of making road maintenance decisions among different concerns. Therefore, this study developed regression models of CO2 emissions for four vehicle types to quantify the environmental impact at the use stage. The simulated constraint boundary method (SCBM) was used as a tool to find Pareto optimal solutions for the pavement multi-objective optimization problem of minimizing agency costs and minimizing CO2 emissions by minimizing average network IRI value. This method is based on solving one objective and converting the other objective to constraint, so the decision makers need to decide first which objective should be considered as the primary objective (the objective that deserves the most attention among the competing objectives). The results show that the crack seal is still the most dominant preservation treatments compared to thin overlay although it has less effect on the reduction of IRI than the thin overlay treatment. So, the objective of minimizing agency cost controls the optimization results although the minimization of CO2 emissions was considered in the optimization process. Another method that was used in this research to achieve both objectives of minimizing agency costs and emissions is the Weighted Sum method. Weighted sum method is based on converting the two objectives into one single objective by adding both objectives together after multiplying each objective by a weighting factor. The value of weighting factor should be considerable relative to other weighting factors and comparative to its corresponding objective function. The results for the distribution of pavement preservation treatments show that less costly preservation treatments were selected for the most segments of the network when the priority of optimization was given to the objective of minimization agency cost. The treatments that have higher effectiveness on pavement condition were selected for the most segments of the network when the objective of minimization CO2 emission is the main objective compared to the other objective.Ph.D.Includes bibliographical referencesby Israa Fadhil Jasim AL-Saad

    fadhil aqsha

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    Pembangunan Aplikasi Penjualan Buku Pelajaran Di TB. Fadhil Berbasis web

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    TB. Fadhil merupakan toko buku yang menjual buku pelajaran untuk SD, SMP dan SMA Negeri. Mekanisme penjualan yang sedang berjalan di TB. Fadhil yaitu konsumen yang akan melihat dan membeli produk yang ditawarkan harus datang secara langsung ke TB. Fadhil. Konsumen yang datang ke TB. Fadhil dapat langsung menanyakan buku yang dicari ke penjaga toko dengan menyebutkan judul buku, pengarang dan juga penerbit buku yang akan dicari, kemudian penjaga toko tersebut akan melihat daftar buku dan stok buku yang ada dikatalog buku TB. Fadhil, jika stok buku tersedia maka konsumen dapat langsung melakukan pembayaran dikasir. E-Commerce adalah penyebaran, pembelian, penjualan, pemasaran barang dan jasa melalui sistem elektronik seperti internet atau televisi, www, atau jaringan komputer lainnya. E-dagang dapat melibatkan transfer dana elektronik, pertukaran data elektronik, sistem manajemen inventori otomatis, dan sistem pengumpulan data otomatis. Pada saat ini, toko TB. Fadhil belum menggunakan fasilitas e-commerce sehingga kesulitan dalam menawarkan produk kepada konsumen yang berada di luar kota. Selain itu, juga bisa mengakibatkan dampak yang berpengaruh kepada proses penjualan produk yaitu ketidaktahuan konsumen yang berada di luar kota akan keberadaan toko TB. Fadhil. Untuk membangun sistem e-commerce ini, alat yang digunakan untuk menggambarkan model sistem adalah berupa diagram alir data (FlowMap), diagram konteks, dan Data Flow Diagram (DFD), serta dalam perancangan basis data menggunakan kamus data, dan Entity Relationship Diagram (ERD). Dengan adanya e-commerce tersebut diharapkan dapat memudahkan TB. Fadhil untuk mempromosikan produk yang ditawarkan, sehingga masyarakat umum mengenal TB. Fadhil. Mempermudah melakukan transaksi penjualan secara online sehingga dapat dilakukan kapan saja, dan juga aman. Mempermudah melakukan pengolahan data dan pengolahan laporan

    fadhil aqsha

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    fadhil aqsha

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    PASS MARKETING POLITIK FADHIL RAHMI PADA PEMILU DPD RI TAHUN 2019 DI ACEH

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    ABSTRAKProvinsi Aceh merupakan provinsi di Indonesia yang ikut serta melaksanakan pemilu serentak tahun 2019, salah satunya adalah pemilihan anggota DPD RI periode 2019-2024. Fadhil Rahmi yang merupakan pendatang baru di dunia politik langsung terpilih sebagai anggota DPD RI Periode 2019-2024. Kemenangan Fadhil Rahmi tidak terlepas dari penerapan strategi pass marketing politik. Tujuan Penelitian ini adalah untuk mengetahui bagaimana penerapan strategi pass marketing yang digunakan Fadhil Rahmi dan pengaruh marketing politik UAS terhadap perolehan suara Fadhil Rahmi. Jenis penelitian kualitatif. Teknik pengumpulan data yang digunakan adalah wawancara, observasi dan dokumentasi. Hasil penelitian menunjukkan bahwa Strategi pass marketing yang digunakan Fadhil Rahmi yaitu menggunakan tokoh agama, tokoh agama, IKAT, dan Fguur UAS dalam menyampaikan pesan politiknya. Pengaruh UAS terhadap perolehan suara Fadhil Rahmi dimana pengaruh UAS mampu mempengaruhi pemilih tradisional, meningkatkan popularitas dan elektabilitas seorang Fadhil Rahmi. Kesimpulan dari penelitian ini Strategi marketing politik yang dilakukan Fadhil Rahmi dan anggota tim pemenangannya sangat baik. Hal tersebut dapat dilihat dari berbagai upaya yang dilakukan Fadhil Rahmi dengan cara strategi pass marketing politik yaitu menggunakan individu yang berpengaruh dalam masyarakat. Saran diharapkan agar menjadi motivasi dan pembelajaran bagi calon kandidat lain yang sedang mengalami kesulitan dalam meraih dukungan dan simpati masyarakat luas.Kata Kunci : Fadhil Rahmi, Dewan Perwakilan Daerah (DPD),Strategi Politik, Pass Marketing.ABSTRACTAceh is one of the provinces in Indonesia that participated in holding simultaneous elections in 2019, which included the election of the members of Regional Representative Council (DPD RI) for the 2019-2024 period. Fadhil Rahmi, who was a newcomer to the political world, was immediately elected as a member of the DPD RI for that period. Fadhil Rahmi's victory could not be separated from the implementation of the political pass marketing strategy. Therefore, this study aimed to determine the implementation of the pass marketing strategy used by Fadhil Rahmi and the influence of Ustadz Abdul Somad's (UAS) political marketing on Fadhil Rahmi's vote acquisition. The type of this research is qualitative. The data were collected through interviews, observation, and documentation. The results showed that the pass marketing strategy used by Fadhil Rahmi in conveying his political message included religious figures, IKAT, and UAS. The influence of UAS on Fadhil Rahmi's vote acquisition included the ability of UAS to influence traditional voters and to increase the popularity and electability of Fadhil Rahmi. The conclusion of this study is that the political marketing strategy carried out by Fadhil Rahmi and his success team succeeded. This could be seen from the result of the pass marketing strategy through an influential individual in the society. Therefore, the researcher suggests that this result can be a motivation and lesson for other candidates who are having difficulty in gaining support and sympathy from the community. Keywords: Fadhil Rahmi, Regional Representative Council (DPD), political strategy, pass marketin

    Automated ICT system health monitoring using Grafana

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    Futures Platform is a consultation company which provides foresights solutions and a tool to visualize all different possible solutions related to foresight. As the technology evolve and ICT developments becomes more complex, there is been a need to understand the behaviour of the system architecture. This matter focuses more on the logging of what is happening on the background during the time applications are actively running, the process of logging includes several services components like CPU, usage, Network connections, Memory consumptions and so on. In this project the focus has been to address the need of implementing monitoring system and also eradicating on time problems that may occurs after system faults. Several times these issues go un-noticed keep running on the background and they only emerged as visible errors on the user interface once reached certain thresholds. Project aimed to provide stable and reliable services without having noticed faults. Ansible has been developed and design to achieve and aid configurations of most of the automation processes for different systems the idea of using ansible playbook in this implementation has been due to the advantages explained in this report but also the ability of Ansible to manage multiple server configurations in one configuration file. The monitoring baseline of server’s components to be logged/monitored were developed, the method of the installation was investigated and researched then finally during the project implementation Ansible scripts were developed to achieve the project’s goal

    Domain Specific Design Patterns: Designing For Conversational User Interfaces

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    Designing conversational user interface experience is complicated because conversation comes with many expectations. When these expectations are met, we feel the interface is natural, but once violated, we feel something is amiss. The last decade witnessed human language technologies and behaviours to enable humans converse with software using spoken dialogue to access, create and process information. Less is known about the practicalities of designing chatbot interactions. In this paper, we introduce the nature of conversational user interfaces (CUIs) and describe the underlying technologies they are based on. Moreover, we define guidelines for designing conversational interfaces in various domains. This paper particularly focuses on classifying the elements and techniques used in CUI design patterns. After concluding certain challenges with CUI, we discuss important features and chatbot states to be considered in CUI design for specific domain. We envisage this study to support CUI researchers to design tailored chatbots applicable into certain domain and improve the current state of research challenges in the field of Artificial Intelligence and conversational agents

    Towards Automatic & Personalised Mobile Health Interventions: An Interactive Machine Learning Perspective

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    Machine learning (ML) is the fastest growing field in computer science and healthcare, providing future benefits in improved medical diagnoses, disease analyses and prevention. In this paper, we introduce an application of interactive machine learning (iML) in a telemedicine system, to enable automatic and personalised interventions for lifestyle promotion. We first present the high level architecture of the system and the components forming the overall architecture. We then illustrate the interactive machine learning process design. Prediction models are expected to be trained through the participants' profiles, activity performance, and feedback from the caregiver. Finally, we show some preliminary results during the system implementation and discuss future directions. We envisage the proposed system to be digitally implemented, and behaviourally designed to promote healthy lifestyle and activities, and hence prevent users from the risk of chronic diseases
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