Autoencoder-Based Representation Learning to Predict Anomalies in Computer Networks

With the recent advances in Internet-of-thing devices (IoT), cloud-based services, and diversity in the network data, there has been a growing need for sophisticated anomaly detection algorithms within the network intrusion detection system (NIDS) that can tackle advanced network threats. Advances in Deep and Machine learning (ML) has been garnering considerable interest among researchers since it has the capacity to provide a solution to advanced threats such as the zero-day attack. An Intrusion Detection System (IDS) is the first line of defense against network-based attacks compared to other traditional technologies, such as firewall systems. This report adds to the existing approaches by proposing a novel strategy to incorporate both supervised and unsupervised learning to Intrusion Detection Systems (IDS). Specifically, the study will utilize deep Autoencoder (DAE) as a dimensionality reduction tool and Support Vector Machine (SVM) as a classifier to perform anomaly-based classification. The study diverts from other similar studies by performing a thorough analysis of using deep autoencoders as a valid non-linear dimensionality tool by comparing it against Principal Component Analysis (PCA) and tuning hyperparameters that optimizes for \u27F-1 Micro\u27 score and \u27Balanced Accuracy\u27 since we are dealing with a dataset with imbalanced classes. The study employs robust analysis tools such as Precision-Recall Curves, Average-Precision score, Train-Test Times, t-SNE, Grid Search, and L1/L2 regularization. Our model will be trained and tested on a publicly available datasets KDDTrain+ and KDDTest+

SISTEM PAKAR MENDIAGNOSA PENYAKIT PADA IKAN ARWANA MENGGUNAKAN METODE FORWARD CHAINING DAN DEFTH FIRST SEARCH BERBASIS WEB

Everyone can now find solutions to their problems either in person or through the internet, which can be accessed via a computer or mobile device, thanks to the advancements in contemporary technology. In addition, this technology is used in various end-use industries, including animal husbandry, agriculture, manufacturing, healthcare, and others. One of the problems that often arises for some people is health problems because it is difficult to obtain information about health, how to maintain health, and how to determine the best actions for handling and prevention, especially considering the needs of the community. for animal health technology services, especially arowana fish. By utilizing the PHP programming language, create an expert system for detecting arowana fish disease on the web. develop an online expert system that can support arowana fish keepers and make consultations more effective. using a forward chaining and defth first search approach. advanced chaining This technique is a way to find information or data that reveals conclusions through facts. In DFS, the leftmost node is where the lookup is performed. The search is carried out on the right node if the previous answer is found at the deepest level. In addition to using the HTML and PHP programming languages, black box testing is used to test the arowana fish expert system website. The design carried out by researchers on this website is limited to problem identification, conceptualization, research objectives, analysis of the necessary data, and the creation of an expert system for diagnosis of web-based arowana fish disease

AVIR – Audio-Visual Indexing and Retrieval for Non IT Expert Users

The AVIR proposal originates from the demand for new solutions allowing common users to easily access, store and retrieve relevant audio-visual information from the vast amounts of resources at their disposal. The next generation of television systems will be connected to many sources of information and entertainment (TV-and radio from air, cable or satellite, video and audio libraries, video tape/disk recorders, Internet). Literally hundreds of channels will soon be offered to the user, which could be disoriented by this overload of information. Users will not pay for just more extra channels, but will appreciate if the content in the channels is easily accessible and, more importantly, can be easily selected according to the user's personal interest. This can only be achieved if the broadcaster delivers meta-data describing the actual content in sufficient detail enabling for automatic handling by agents residing on the end user's system. AVIR investigates on novel procedures for automatic analysis and indexing of audio-visual information, specifically meant to support consumer services. The objective of this project is to investigate and experiment end-to-end solutions for delivering new added value services on top of digital video broadcast services, which will enable a better exploitation of multimedia information resources by non-IT experts. As a result the project is building a prototype service user platform and will demonstrate its feasibility on a broadcast delivery chain. It takes into account extraction of high quality meta-data and electronic delivery of meta-data associated to audio-visual content, including adaptation of consumer receivers and recorders towards a personalized multimedia repository. Intelligent agents based on a user interest profile will help the user to browse and access most relevant programmes via an intelligent, personal electronic guide. A low cost, high capacity home storage device, will also be used to increment the capabilities of the consumer system. Thanks to the received descriptors, advanced retrieval features can be implemented on the stored assets and, in combination with the user’s profile, automatic recording feature is possible. A visual navigation system, a search engine and agents will help the user identifyvideo material of interest on the home video-recorder, transfo rming it into a personal multimedia repository

Disruptive Innovative Library Services @ international Nalanda University: Present and Future Roadmaps

This paper discusses innovative technologies that have implemented at international Nalanda University, Rajgir, Bihar, India and also planning to implement some other advanced tools and technologies in future. The Nalanda University is an avant-garde International University, a truly “sui generis” supported by 17 partner countries of the East Asia Summit. The Government of India designates it as an “Institution of National Importance” under the Ministry of External Affairs. The Nalanda University envisions its library to be the central fulcrum of its master plan, both in terms of its design and bearing. This paper explains in details the services which are categorized into five different areas such as (1) Infrastructure (2) Collection Development (3) Emerging Tools and Technologies (4) Research Support Service (5) Other Social Responsible Activities. Under the “Infrastructure” this paper enumerates in details about the good ambience for best study environment for the users to attract towards the library; illustrates various types of resources, setting up a Common Archival Resource Centre (CARC) and Digitization of Nalanda’s Discovery under “Collection Development”; and also explains various types of “Emerging Tools and Technologies” to reach out the to the users such as Integrated Library Management System (ILMS), Customized Online Public Access Catalogue (OPAC), Web-scale Discovery Service (WSDS), Library Portal, Remote Access and Single Sign-on, Institutional Repository, Radio Frequency Identification (RFID), A to Z Link and Open URL Link Resolver, Cloud Computing, Electronic Resource Management System (ERMS), Course Reserve, M Library, Content Management System (CMS), Google’s Custom Search Engine (GCS), Artificial Intelligence (AI), Virtual Reality (VR) & Augmented Reality (AR), Gesture-based Computing, Crowdsourcing, QR Code, Internet of Thing (IoT), Popular Aisles, Library Utensils, 3D Printer, Library Wearable, Learning Management Systems, Web 2.0, and MakerSpace. This paper also explains in details Information and Reference Services, Reference Management Tool, Citation database, Thesis and Dissertation, Scholarly Archive, Anti-plagiarism Tool, Academic Writing, Personalized Research ID, Data and Visualization Service, Copyright and IPR issues, Information Alerts on Core and Allied Subjects under “Research Support Service”. It also elucidates in details about “Other Social Responsibilities Activities” such as Mobile Library Service, Workshops for local communities, Libraries in Jails, Competitive Examinations Centr

Developing information services for special library users by designing a low cost digital library : the experiment of NOC-Digital Library

This research originates from a belief that special libraries in developing countries need to modernise and implement their ICT infrastructure and articulate information policies that will facilitate the exploitation of information resources to the optimum to increase national productivity. Special libraries and information centres in developing countries in general and in the Arab world in particular should start building their local digital libraries, as the benefit of establishing such electronic services is considerably massive and well known for expansion of research activities and for delivering services that satisfy the needs of targeted users. The aim of this paper is to provide general guideline for design a low cost digital library providing services that are most frequently required by various categories of special library users in developing countries. This paper also aims at illustrating strategies and method approaches that can be adopted for building such projects. The paper intends to describe the phases and stages implemented for building a low cost digital library services for the NOC. It also aims at highlighting the barriers and obstacles facing Arabic content in the digitization stage

Factors influencing palliative care in advanced dementia : A systematic review

© Author(s) (or their employer(s)) 2019. No commercial re-use. See rights and permissions. Published by BMJ.Background: Dementia is a progressive neurodegenerative life-limiting disease. The international literature indicates that patients with advanced dementia can benefit from palliative care (PC) provided during the end-of-life phase. However, evidence indicates that currently many fail to access such provision despite the increased recognition of their palliative needs. Aim: To investigate the factors influencing provision of PC services for people with advanced dementia. Methods: A systematic review of mixed method studies written in English was undertaken. 11 electronic databases including Embase, Medline, PubMed, CINAHL and Scopus from 2008 to 2018 were searched. Narrative synthesis and content analysis were used to analyse and synthesise the data. Key findings: In total, 34 studies were included. 25 studies providing qualitative data, 6 providing quantitative data and 3 mixed methods studies. The findings identified organisational, healthcare professionals and patients-related barriers and facilitators in provision of PC for people with advanced dementia from perspective of stakeholders across different care settings. The most commonly reported barriers are lack of skills and training opportunities of the staff specific to PC in dementia, lack of awareness that dementia is a terminal illness and a palliative condition, pain and symptoms assessment/management difficulties, discontinuity of care for patients with dementia and lack of coordination across care settings, difficulty communicating with the patient and the lack of advance care planning. Conclusions: Even though the provision of PC was empirically recognised as a care step in the management of dementia, there are barriers that hinder access of patients with dementia to appropriate facilities. With dementia prevalence rising and no cure on the horizon, it is crucial that health and social care regulatory bodies integrate a palliative approach into their care using the identified facilitators to achieve optimal and effective PC in this population.Peer reviewe

The Signal Data Explorer: A high performance Grid based signal search tool for use in distributed diagnostic applications

We describe a high performance Grid based signal search tool for distributed diagnostic applications developed in conjunction with Rolls-Royce plc for civil aero engine condition monitoring applications. With the introduction of advanced monitoring technology into engineering systems, healthcare, etc., the associated diagnostic processes are increasingly required to handle and consider vast amounts of data. An exemplar of such a diagnosis process was developed during the DAME project, which built a proof of concept demonstrator to assist in the enhanced diagnosis and prognosis of aero-engine conditions. In particular it has shown the utility of an interactive viewing and high performance distributed search tool (the Signal Data Explorer) in the aero-engine diagnostic process. The viewing and search techniques are equally applicable to other domains. The Signal Data Explorer and search services have been demonstrated on the Worldwide Universities Network to search distributed databases of electrocardiograph data

Supporting people with active and advanced disease: a rapid review of the evidence

1.1 Background: the NCSI AAD group The National Cancer Survivorship Initiative (NCSI, 2010) was set up in response to the NHS Cancer Reform Strategy (Department of Health, 2007) as a collaboration between Macmillan Cancer Support, the Department of Health and NHS Improvement, with the goal to achieve a better understanding of the experiences of cancer survivors and to advocate for the provision of services to support them. Within this broad remit, it was recognised that there was a particular group of patients whose needs were commonly neglected; people who were experiencing the ongoing effects of cancer beyond first-line treatment but who were not at end of life. The Active and Advanced Disease (AAD) working group was created to consider issues of relevance to such people. 1.2 Aims of this review This project set out to meet the following aim: To review the literature on selected cancers in order to identify implications for the development of services to support patients experiencing difficulties associated with active and advanced disease

Quality-testing the legal Internet: finding law with the SOSIG Law Gateway

English language version of a preprint of an article by Steven Whittle, Information Systems Manager at the Institute of Advanced Legal Studies, published in Recht Bibliothek Dokumentation, the journal of the AjBD Arbeitsgemeinschaft für juristisches Bibliotheks-und Dokumentationswese