Status and Challenges in D&D of Nuclear Facilities in NEA Countries: Activities of the NEA Working Party on Decommissioning and Dismantling

2003 ◽  
Author(s):  
Claudio Pescatore ◽  
Allan Duncan ◽  
Ernst Warnecke ◽  
Stan Gordelier
Keyword(s):  
Working Party ◽  
Hard Copy ◽  
Nuclear Facilities ◽  
Web Based ◽  
Policy Strategy ◽  
Regulatory Aspects ◽  
Concise Overview ◽  
The Status

OECD Member countries will be faced increasingly with the task of decommissioning and dismantling nuclear facilities with a view to final release of sites. The OECD/NEA Working Party on Management of Materials from Decommissioning and Dismantling (WPDD) is tasked with keeping under review policy, strategy, and the regulatory aspects of decommissioning and dismantling of obsolete nuclear installations up to and including the ultimate release of sites. Reflections and products directed both to specialists, to opinion formers and to the interested public are being generated and released in hard copy or web-based. The activities of the WPDD are reviewed in this paper. Emphasis is placed on the main points of a recent publication that provides, in non-specialist terminology, a concise overview of the status of D&D of nuclear facilities in NEA Member countries.

scholarly journals Deep Learning-Based Cattle Vocal Classification Model and Real-Time Livestock Monitoring System with Noise Filtering

Animals ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 357
Author(s):  
Dae-Hyun Jung ◽  
Na Yeon Kim ◽  
Sang Ho Moon ◽  
Changho Jhin ◽  
Hak-Jin Kim ◽  
...  
Keyword(s):  
Deep Learning ◽  
Real Time ◽  
Model Development ◽  
Classification Model ◽  
Intelligence Analysis ◽  
Noise Filtering ◽  
Meat Industry ◽  
Mel Frequency Cepstral Coefficients ◽  
Web Based ◽  
The Status

The priority placed on animal welfare in the meat industry is increasing the importance of understanding livestock behavior. In this study, we developed a web-based monitoring and recording system based on artificial intelligence analysis for the classification of cattle sounds. The deep learning classification model of the system is a convolutional neural network (CNN) model that takes voice information converted to Mel-frequency cepstral coefficients (MFCCs) as input. The CNN model first achieved an accuracy of 91.38% in recognizing cattle sounds. Further, short-time Fourier transform-based noise filtering was applied to remove background noise, improving the classification model accuracy to 94.18%. Categorized cattle voices were then classified into four classes, and a total of 897 classification records were acquired for the classification model development. A final accuracy of 81.96% was obtained for the model. Our proposed web-based platform that provides information obtained from a total of 12 sound sensors provides cattle vocalization monitoring in real time, enabling farm owners to determine the status of their cattle.

scholarly journals Sistem Pendanaan Proyek Perusahaan Jasa Konstruksi Berbasis Web

2021 ◽  
Vol 6 (3) ◽  
pp. 121
Author(s):  
Hilyah Magdalena ◽  
Hadi Santoso ◽  
Litha Leonita
Keyword(s):  
Information System ◽  
Financial Management ◽  
System Development ◽  
Object Oriented ◽  
Project Finance ◽  
Web Based ◽  
Construction Company ◽  
Finance Management ◽  
The Status ◽  
Financial Management System

CV. Yusti Karya as a construction company realizes that the ability to manage project finances is an important requirement for smooth project management. CV.Yusti Karya often has to manage several projects simultaneously in remote locations. This condition makes it difficult for the finance staff in the office to manage project financial allocations and also makes it difficult for project managers in the field and must report the status of project expenditures to the office. This difficulty drives CV. YustiKarya improved the project's financial management system from using spreadsheets to a web-based information system. Web-based information system will be developed using object-oriented methods. The object- oriented system development method was chosen because of its modular development capabilities and adapts to system requirements. The development of this system aims to enable Person in Charge (PIC) projects in the field to submit expenditures and can be immediately approved by the financial staff in charge. Online project finance management between project PICs and finance staff helps harmonize financial management. The Director can monitor the flow of the latest project finance developments online.

scholarly journals Biological Water Quality Indices Performance Based on Aquatic Insects in Recreational Rivers

2021 ◽  
Vol 32 (1) ◽  
pp. 89-103
Author(s):  
Ahmad Hadri Jumaat ◽  
◽  
Suhaila Abdul Hamid ◽  
Keyword(s):  
Water Quality ◽  
Aquatic Insects ◽  
Aquatic Insect ◽  
Working Party ◽  
Biotic Index ◽  
Biological Index ◽  
Biological Water ◽  
The Status ◽  
Suitable Index ◽  
Abundance And Distribution

Abundance and distribution of aquatic insects respecting to several water chemical parameters from six rivers were studied in order to determine the performance of biological index in monitoring the water quality. A total of 960 individuals of aquatic insects from nine orders were recorded using kick and drag sampling techniques. Lubok Semilang had the greatest number of aquatic insects with 250 individuals, followed by Telaga Tujuh (181 individuals) and Sungai Durian Perangin (171 individuals). EPT (Ephemeroptera, Plecoptera and Trichoptera) order were the most dominant order recorded in all six rivers. Lata Kekabu had more diverse and richer aquatic insect assemblages based on ecological indices compared to the other five rivers. In order to evaluate the water quality of recreational rivers in Malaysia, Family Biotic Index (FBI), Malaysian Family Biotic Index (MFBI) and Biological Monitoring Working Party (BMWP) were used and compared with Water Quality Index to determine the water quality at the study areas. Results demonstrated that the biotic indices were more sensitive towards changes in water parameters than the WQI. Among all the biological indices, MFBI was the most suitable index to be adopted in Malaysian river water assessment as it is more reliable in assessing the status of water quality.

Analytical study of crowdsourced GLAM digital repositories

2018 ◽  
Vol 35 (1) ◽  
pp. 11-17
Author(s):  
Dinesh K. Gupta ◽  
Veerbala Sharma
Keyword(s):  
Public Participation ◽  
Analytical Study ◽  
Digital Information ◽  
Digital Collections ◽  
Web Based ◽  
Content Type ◽  
Digital Repositories ◽  
Global Trend ◽  
The Status ◽  
Practical Implications

Purpose The purpose of this paper is to find out the status/levels of using crowdsourcing in galleries, libraries, archives and museums (GLAM) around the globe and to give suggestions on how Indian GLAM can take the benefit of this global trend. Design/methodology/approach The study is based on the analytical study of the literature available on the embracing crowdsourcing for diverse tasks with special emphasis on the efforts of GLAM domain regarding the development of digital repositories. Findings Meticulous analysis of literature and case studies give an overview of the diverse practices of public participation/crowd collaboration in the development of digital repositories around the globe. However, Indian GLAM are far behind in adopting such practices. Practical implications With the rapid growth in digital information and Web-based technology, GLAM around the world encourage and engage public participation in various digitization projects to enrich and enhance their digital collections and place them on the Web. However, Indian GLAM still refrain to accept and adopt such practices. Thus, this paper will encourage and motivate the Indian GLAM to enrich and enhance their collection with crowd contribution and uploading them on Web. Originality/value This is an original paper and has great implementation value. During the study, enormous literature was available on crowd participation in various areas around the globe, as well as in India. International examples of crowd participation in GLAM creation are found in the literature; however, not sufficient evidences are found regarding crowd contribution in Indian GLAM. Hence, the paper, by presenting the evidences of crowd participation in GLAM domain, proposes the Indian GLAM to exploit the benefits of this practice for Indian digital repositories to expedite the creation and development of various national digital repositories.

scholarly journals Sistem Informasi Peminjaman Barang Berbasis Web dengan Metode Waterfall

MIND Journal ◽  
2021 ◽  
Vol 5 (1) ◽  
pp. 14-23
Author(s):  
MUHAMMAD NUGRAHA ◽  
JAMALUDIN YASKURNIAAM
Keyword(s):  
Information System ◽  
System Design ◽  
Routine Activity ◽  
Web Based ◽  
Development System ◽  
Laboratory Staff ◽  
The Status ◽  
System Information ◽  
Loan Approval

AbstrakProses peminjaman barang untuk keperluan praktikum merupakan aktifitas yang rutin dilakukan. Pada umumnya peminjaman barang dilakukan oleh mahasiswa atau dosen kepada staf laboratorium dengan mengisi form peminjaman secara tertulis. Namun dalam proses peminjaman tersebut ada kalanya staf laboratorium kewalahan ketika proses peminjaman barang banyak sekali karena staf laboratorium harus mengecek keberadaan barang satu persatu secara manual. Oleh karena permasalahan tersebut maka pada penelitian ini akan didesain dan dibangun sistem informasi peminjaman barang berbasis web yang berfungsi untuk mempermudah staf laboratorium dalam pengelolaan data barang. Dengan sistem informasi peminjaman barang proses pengajuan peminjaman, persetujuan peminjaman, monitoring barang, dan pencarian status barang bisa dengan mudah dan cepat dilakukan. Metode pembangunan sistem yang digunakan pada penelitian ini menggunakan metode Waterfall, dan untuk desain sistem menggunakan UML (Unified Modelling Languange). Hasil akhir dari penelitian ini berupa sistem informasi peminjaman barang berbasis web dengan menggunakan framework Codeigniter 4 yang dapat mempermudah proses pengelolaan peminjaman barang.Kata kunci: sistem, informasi, peminjaman, Codeigniter, webAbstractThe borrowing process goods for practicum is a routine activity. Generally, the lending of goods is carried out by students to laboratory staff by filling out the loan form manually. However, in the lending process, sometimes laboratory staff is overwhelmed when the process of borrowing a lot because the laboratory staff has to check the items manually. Base on these problems, this research will develop a web-based information system for lending goods to facilitate laboratory staff in managing data of goods. With this information system for borrowing goods, the process of applying for loans, loan approval, monitoring of goods, and searching for the status of goods can be done easily and quickly. The method of development system using Waterfall, and system design using UML. The final result of this research is a web-based information system for lending goods using the Codeigniter 4 framework, which can simplify managing lending of goods.Keywords: system, information, loan, Codeigniter, web 

scholarly journals A Web-Based Toolkit to Provide Evidence-Based Resources About Crystal Methamphetamine for the Australian Community: Collaborative Development of Cracks in the Ice (Preprint)

2017 ◽  
Author(s):  
Katrina Elizabeth Champion ◽  
Cath Chapman ◽  
Nicola Clare Newton ◽  
Mary-Ellen Brierley ◽  
Lexine Stapinski ◽  
...  
Keyword(s):  
End Users ◽  
Hard Copy ◽  
Evidence Based ◽  
Community Members ◽  
Public Health Response ◽  
Crystal Methamphetamine ◽  
Web Based ◽  
Australian Community ◽  
Beta Version ◽  
The Web

BACKGROUND The use of crystal methamphetamine (ice) and the associated harms for individuals, families, and communities across Australia has been the subject of growing concern in recent years. The provision of easily accessible, evidence-based, and up-to-date information and resources about crystal methamphetamine for the community is a critical component of an effective public health response. OBJECTIVE This paper aims to describe the codevelopment process of the Web-based Cracks in the Ice Community Toolkit, which was developed to improve access to evidence-based information and resources about crystal methamphetamine for the Australian community. METHODS Development of the Cracks in the Ice Community Toolkit was conducted in collaboration with community members across Australia and with experts working in the addiction field. The iterative process involved the following: (1) consultation with end users, including community members, crystal methamphetamine users, families and friends of someone using crystal methamphetamine, health professionals, and teachers (n=451) via a cross-sectional Web-based survey to understand information needs; (2) content and Web development; and (3) user testing of a beta version of the Web-based toolkit among end users (n=41) and experts (n=10) to evaluate the toolkit’s acceptability, relevance, and appeal. RESULTS Initial end user consultation indicated that the most commonly endorsed reasons for visiting a website about crystal methamphetamine were “to get information for myself” (185/451, 41.0%) and “to find out how to help a friend or a family member” (136/451, 30.2%). Community consultation also revealed the need for simple information about crystal methamphetamine, including what it is, its effects, and when and where to seek help or support. Feedback on a beta version of the toolkit was positive in terms of content, readability, layout, look, and feel. Commonly identified areas for improvement related to increasing the level of engagement and personal connection, improving the ease of navigation, and balancing a “low prevalence of use, yet high impact” message. A total of 9138 users visited the website in the 3 months immediately post launch, and over 25,000 hard-copy Cracks in the Ice booklets and flyers were distributed across Australia. Of these resources, 60.93% (15,525/25,480) were distributed to relevant organizations and mailing list subscribers, and 39.07% (9955/25,480) were ordered directly by individuals, services, and community groups via the Cracks in the Ice website. CONCLUSIONS The codevelopment process resulted in an engaging Web-based resource for the Australian community to access up-to-date and evidence-based resources about crystal methamphetamine. The Cracks in the Ice Community Toolkit provides much-needed information and support for individuals, families, and communities.

scholarly journals RANCANG BANGUN COACHING LOG SEBAGAI LAPORAN KEMAJUAN TENAN INBIS STIKI INDONESIA

2019 ◽  
Vol 5 (2) ◽  
Author(s):  
I Gede Totok Suryawan ◽  
Gede Dana Pramitha
Keyword(s):  
Information System ◽  
System Development ◽  
Unified Modeling Language ◽  
Model System ◽  
Hard Copy ◽  
Modeling Language ◽  
Web Based ◽  
Unified Modeling ◽  
Testing Method ◽  
Log File

<p>ABSTRACT<br />This paper discusses the design and development of the coahcing log tenant system of INBIS STIKI Indonesia. Coaching log is an accompaniment record recorded in a hard copy file that contains data on tenants, coaches, mentoring records, assignments from coaches to tenants, and results of previous assignments given by coaches to tenants. This hard copy coaching log file cannot be used effectively especially in seeing the development of tenants from time to time or the progress reports of tenants. To solve this problem in this study a web-based log coaching system has been developed which has tenant data management features, data coaches, making mentoring schedules, providing timetables for mentors, coaching logs by coaches, coaching logs by tenants. The system design model used in this study uses the Unified Modeling Language (UML) model, system development using the laravel framework, and testing using the blackbox testing method. Based on the results of testing all the features that are owned by this log coaching system can function properly. And the system developed can help INBIS STIKI Indonesia in managing the process of assisting tenants.<br />Keywords: Information System, Coaching Log, Business Incubator. Tenant, Coach<br />ABSTRAK<br />Paper ini membahas tentang perancangan dan pengembangan sistem coahcing log tenan INBIS STIKI Indonesia. Coaching log merupakan catatan pendampingan yang direkam dalam sebuah file hard copy yang berisi tentang data tenan, coach, catatan pendampingan, tugas dari coach kepada tenan, serta hasil tugas sebelumnya yang diberikan oleh coach kepada tenan. File hard copy coaching log ini belum bisa digunakan secara efektif khususnya dalam melihat perkembangan tenan dari waktu ke waktu atau laporan kemajuan tenan. Untuk menyelesaikan masalah tersebut pada penelitian ini telah dikembangan sistem coaching log berbasis web yang memiliki fitur pengelolaan data tenan, data coach, pembuatan jadwal pendampingan, pemberian jadwal pendampingan kepada tenan, coaching log oleh coach, coaching log oleh tenan. Model perancangan sistem yang digunakan dalam penelitian ini menggunakan model Unified Modeling Language (UML), pengembangan sistem menggunakan framework laravel, dan pengujian menggunakan metode blackbox testing. Berdasarkan hasil pengujian semua fitur yang dimiliki oleh sistem coaching log ini secara fungsional bisa berjalan dengan baik. Dan sistem yang dikembangkan bisa membantu INBIS STIKI Indonesia dalam mengelola proses pendampingan tenan.<br />Kata Kunci : Sistem Informasi, Coaching Log, Inkubator Bisnis, Tenan, Pendamping</p>

scholarly journals Development of a web based smart city infrastructure for refuse disposal management

2017 ◽  
Author(s):  
◽  
Adeyemo Joke Oluwatimilehin
Keyword(s):  
Feature Extraction ◽  
Smart City ◽  
Web Application ◽  
The Internet ◽  
Client Application ◽  
Application Layer ◽  
Web Based ◽  
Statistical Feature ◽  
The Status ◽  
Refuse Disposal

The future of modern cities largely depends on how well they can tackle intrinsic problems that confront them by embracing the next era of digital revolution. A vital element of such revolution is the creation of smart cities and associated technology infrastructures. Smart city is an emerging phenomenon that involves the deployment of information communication technology wares into public or private infrastructure to provide intelligent data gathering and analysis. Key areas that have been considered for smart city initiatives include monitoring of weather, energy consumption, environmental conditions, water usage and host of others. To align with the smart city revolution in the area of environmental cleanliness, this study involves the development of a web based smart city infrastructure for refuse disposal management using the design science research approach. The Jalali smart city reference architecture provided a template to develop the proposed architecture in this study. The proposed architecture contains four layers, which are signal sensing and processing, network, intelligent user application and Internet of Things (IoT) web application layers. A proof of concept prototype was designed and implemented based on the proposed architecture. The signal sensing and processing layer was implemented to produce a smart refuse bin, which is a bin that contains the Arduino microcontroller board, Wi-Fi transceiver, proximity sensor, gas sensor, temperature sensor and other relevant electronic components. The network layer provides interconnectivity among the layers via the internet. The intelligent user application layer was realized with non browser client application, statistical feature extraction and pattern classifiers. Whereas the IoT web application layer was realised with ThingSpeak, which is an online web application for IoT based projects. The sensors in the smart refuse bin, generates multivariate dataset that corresponds to the status of refuse in the bin. Training and testing features were extracted from the dataset using first order statistical feature extraction method. Afterward, Multilayer Perceptron Artificial Neural Network (MLP-ANN) and support vector machine were trained and compared experimentally. The MLP-ANN gave the overall best accuracy of 98.0%, and the least mean square error of 0.0036. The ThingSpeak web application connects seamlessly at all times via the internet to receive data from the smart refuse bin. Refuse disposal management agents can therefore query ThingSpeak for refuse status data via the non browser client application. The client application, then uses the trained MLP-ANN to appositely classify such data in order to determine the status of the bin.

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