Application of Digital Image Segmentation of Plantation Fruit Classification in Samarinda Agricultural Polytechnic

Applications of Digital Image Segmentation of Plantation Fruit Classification in Samarinda State Agricultural Polytechnic Based on Form The development of computer technology at this time has brought significant progress in various aspects of human life. Such development is supported by the availability of increasingly high hardware and software, one of the technologies experiencing rapid development is image processing. Image processing is a system where the process is carried out by entering an image and the result is also an image. Currently the use of digital images is widely used in various fields one of which is in the plantation sector. Therefore, the purpose of this study is to create a digital image segmentation application for the classification of plantation fruit based on shape. The method used for image segmentation is the Thresholding method, while the image classification uses the Artificial Neural Network (ANN) method. The accuracy generated by the system both in the training process and testing shows that the method used can classify fruit images wel

KIIT Digital Library: An open hypermedia Application

The massive use of Web technologies has spurred a new revolution in information storing and retrieving. It has always been an issue whether to incorporate hyperlinks embedded in a document or to store them separately in a link base. Research effort has been concentrated on the development of link services that enable hypermedia functionality to be integrate into the general computing environment and allow linking from all tools on the browser or desktop. KIIT digital library is such an application that focuses mainly on architecture and protocols of Open Hypermedia Systems (OHS), providing on-line document authoring, browsing, cataloguing, searching and updating features. The WWW needs fundamentally new frameworks and concepts to support new search and indexing functionality. This is because of the frequent use of digital archives and to maintain huge amount of database and documents. These digital materials range from electronic versions of books and journals offered by traditional publishers to manuscripts, photographs, maps, sound recordings and similar materials digitized from libraries' own special collections to new electronic scholarly and scientific databases developed through the collaboration of researchers, computer and information scientists, and librarians. Metadata in catalogue systems are an indispensable tool to find information and services in networks. Technological advances provide new opportunities to facilitate the process of collecting and maintaining metadata and to facilitate using catalogue systems. The overall objective is how to make best use of catalogue systems. Information systems such as the World Wide Web, Digital Libraries, inventories of satellite images and other repositories contain more data than ever before, are globally distributed, easy to use and, therefore, become accessible to huge, heterogeneous user groups. For KIIT Digital Library, we have used Resource Development Framework (RDF) and Dublin Core (DC) standards to incorporate metadata. Overall KIIT digital library provides electronic access to information in many different forms. Recent technological advances make the storage and transmission of digital information possible. This project is to design and implement a cataloguing system of the digital library system suitable for storage, indexing, and retrieving information and providing that information across the Internet. The goal is to allow users to quickly search indices to locate segments of interests and view and manipulate these segments on their remote computers

Digital Literacy Scale of English Pre-service Teachers and Their Perceived Readiness Toward the Application of Digital Technologies

High digital literacy is significantly needed by English teachers in the trend of industrial revolution 4.0 to promote a better quality of English teaching and learning. However, a significant number of English teachers, as well as pre-service teachers, still had low digital literacy scale and they were not ready to implement digital technologies into English teaching and learning process. This study was aimed to describe the digital literacy scale of graduate school students of English Education Department in a state university in Yogyakarta as pre-service teachers and their readiness toward the application of digital technologies in teaching and learning contexts. The research used mix-methods to collect both quantitative and qualitative data through Likert-scale questionnaires and interviews. The study revealed that the research participants had high digital literacy scales and readiness toward the application of digital technologies. Thus, those graduate school students as pre-service teachers could fulfill the requirements of professional English teachers in terms of digital literacy and improve the quality of English teaching and learning output by integrating digital technologies

Evaluation of patient perception towards dynamic health data sharing using blockchain based digital consent with the Dovetail digital consent application : a cross sectional exploratory study

Background New patient-centric integrated care models are enabled by the capability to exchange the patient’s data amongst stakeholders, who each specialise in different aspects of the patient’s care. This requires a robust, trusted and flexible mechanism for patients to offer consent to share their data. Furthermore, new IT technologies make it easier to give patients more control over their data, including the right to revoke consent. These characteristics challenge the traditional paper-based, single-organisation-led consent process. The Dovetail digital consent application uses a mobile application and blockchain based infrastructure to offer this capability, as part of a pilot allowing patients to have their data shared amongst digital tools, empowering patients to manage their condition within an integrated care setting. Objective To evaluate patient perceptions towards existing consent processes, and the Dovetail blockchain based digital consent application as a means to manage data sharing in the context of diabetes care. Method Patients with diabetes at a General Practitioner practice were recruited. Data were collected using focus groups and questionnaires. Thematic analysis of the focus group transcripts and descriptive statistics of the questionnaires was performed. Results There was a lack of understanding of existing consent processes in place, and many patients did not have any recollection of having previously given consent. The digital consent application received favourable feedback, with patients recognising the value of the capability offered by the application. Patients overwhelmingly favoured the digital consent application over existing practice. Conclusions Digital consent was received favourably, with patients recognising that it addresses the main limitations of the current process. Feedback on potential improvements was received. Future work includes confirmation of results in a broader demographic sample and across multiple conditions

A distributed alerting service for open digital library software

Alerting for Digital Libraries (DL) is an important and useful feature for the library users. To date, two independent services and a few publisher-hosted proprietary services have been developed. Here, we address the problem of integrating alerting as functionality into open source software for distributed digital libraries. DL software is one application out of many that constitute so-called meta-software: software where its installation determines the properties of the actual running system (here: the Digital Library system). For this type of application, existing alerting solutions are insufficient; new ways have to be found for supporting a fragmented network of distributed digital library servers. We propose the design and usage of a distributed Directory Service. This paper also introduces our hybrid approach using two networks and a combination of different distributed routing strategies for event filtering

Aspects of Application of Neural Recognition to Digital Editions

Artificial neuronal networks (ANN) are widely used in software systems which require solutions to problems without a traditional algorithmic approach, like in character recognition: ANN learn by example, so that they require a consistent and well-chosen set of samples to be trained to recognize their patterns. The network is taught to react with high activity in some of its output neurons whenever an input sample belonging to a specified class (e.g. a letter shape) is presented, and has the ability to assess the similarity of samples never encountered before by any of these models. Typical OCR applications thus require a significant amount of preprocessing for such samples, like resizing images and removing all the "noise" data, letting the letter contours emerge clearly from the background. Furthermore, usually a huge number of samples is required to effectively train a network to recognize a character against all the others. This may represent an issue for palaeographical applications because of the relatively low quantity and high complexity of digital samples available, and poses even more problems when our aim is detecting subtle differences (e.g. the special shape of a specific letter from a well-defined period and scriptorium). It would be probably wiser for scholars to define some guidelines for extracting from samples the features defined as most relevant according to their purposes, and let the network deal with just a subset of the overwhelming amount of detailed nuances available. ANN are no magic, and it is always the careful judgement of scholars to provide a theoretical foundation for any computer-based tool they might want to use to help them solve their problems: we can easily illustrate this point with samples drawn from any other application of IT to humanities. Just as we can expect no magic in detecting alliterations in a text if we simply feed a system with a collection of letters, we can no more claim that a neural recognition system might be able to perform well with a relatively small sample where each shape is fed as it is, without instructing the system about the features scholars define as relevant. Even before ANN implementations, it is exactly this theoretical background which must be put to the test when planning such systems

Development and implementation of an adaptive digital beamforming network for satellite communication systems

The use of adaptive digital beamforming techniques has, until recently, been largely restricted to high performance military radar systems. Recent advances in digital technology, however, have enabled the design of single chip digital beamforming networks. This, coupled with advances in digital signal processor technology, enables complete beamforming systems to be constructed at a lower cost, thus making the application of these techniques to commercial communications systems attractive. The design and development of such an adaptative digital beamforming network are described. The system is being developed as a proof of concept laboratory based demonstrator to enable the feasibility of adaptive digital beamforming techniques for communication systems to be determined. Ultimately, digital beamforming could be used in conjunction with large array antennas for communication satellite systems. This will enable the simultaneous steering of high gain antenna beams in the direction of gr...Peer ReviewedPostprint (published version

Hybrid methods for function generation

A method of function generation is discussed based on the use of hybrid digital analogue techniques. A brief description of a quantizer is given together with some experimental results. The purpose of this unit is to give the derivative with respect to time (in quantized form) of a variable. Units of this type used in conjunction with pulse modulators, which are also described, are shown to be capable of performing a wide variety of analytic functions. The application to correlation functions, using magnetic core storage for time delays, is also discussed. Another application is a fast analogue/digital converter with an incremental bit resolution time of one micro-second. The possibility of extending the application to generation of arbitrary functions of one or more variable is considered and one possible form of instrumentation, based on the use of magnetic core storage, is described

Open source repositories: Implications for libraries

Software that is accepted as “Open source” should comply with 10 conditions which are itinerated in the paper. The paper subsequently describes the application of open source initiatives in the digital library context. Three open source digital library initiatives developed by the Digital Library Research Group at the Faculty of Computer Science and information Technology, University of Malaya are highlighted. These are; (a) MyManuskrip: digital library of Malay manuscripts; (b) MyAIS : Digital library of Malaysian scholarly journals and conference proceedings; and (d) DSpace@Um: a digital library of dissertations, theses and final year project reports. Other “free” systems such as EJUM: electronic journal of university of Malaya is also described to highlight the slight difference between open source and being free. The paper also describes the libraries involved in the initiatives and the changing eco-system which libraries must accept to embrace the open source culture