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Communication and networking via social media is an integral part of our Library Science masters course, and in preparation for professional practice, you are expected to engage with blogs, Twitter and other relevant communication media as part of their studies. Face-to-face participation in student and new professional forums including research seminars, workshops and conferences is actively promoted. You are encouraged to present their work (assignments, dissertation) to the wider LIS community for discussion and development.

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Abstract In order to detect outliers in temperature time series data for improving data quality and decision-making quality related to design and operation, we proposed an algorithm based on sliding window prediction. Firstly, the time series are segmented based on the sliding window. Then, Read more. In order to detect outliers in temperature time series data for improving data quality and decision-making quality related to design and operation, we proposed an algorithm based on sliding window prediction. Firstly, the time series are segmented based on the sliding window. Then, the prediction model is established based on the history data to predict the future value. If the difference between a predicted value and a measured value is larger than the preset threshold value, the sequence point will be judged to be an outlier and then corrected. In this paper, the sliding window and parameter settings of the algorithm are discussed and the algorithm is verified on actual data. This method does not need to pre classify the abnormal points and perform fast, and can handle large scale data. The experimental results show that the proposed algorithm can not only effectively detect outliers in the time series of meteorological data but also improves the correction efficiency notoriously. Full article

School of Information alumna Holly Liu (MIMS 2003) returned to the Berkeley campus this week as the keynote speaker for the School of Information’s 2017 graduation ceremony. Liu recounted the ten-year journey that resulted in her becoming an “overnight” success, from the career dissatisfaction that led her to apply to the School of Information’s MIMS program, to eventually cofounding gaming giant Kabam, Inc., now a billion dollar company.

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Abstract Inference is expressed using information and is therefore subject to the limitations of information. The conventions that determine the reliability of inference have developed in information ecosystems under the influence of a range of selection pressures. These conventions embed limitations in information measures Read more. Inference is expressed using information and is therefore subject to the limitations of information. The conventions that determine the reliability of inference have developed in information ecosystems under the influence of a range of selection pressures. These conventions embed limitations in information measures like quality, pace and friction caused by selection trade-offs. Some selection pressures improve the reliability of inference; others diminish it by reinforcing the limitations of the conventions. This paper shows how to apply these ideas to inference in order to analyse the limitations; the analysis is applied to various theories of inference including examples from the philosophies of science and mathematics as well as machine learning. The analysis highlights the limitations of these theories and how different, seemingly competing, ideas about inference can relate to each other. Full article

For customers who fail to book in advance, tickets for transport services will be available for purchase on the day, but the price will increase to cover the additional administration costs. Shuttle busses will cost £15 return and parking at park & ride sites will be £10. Please check the Hull 2017 site below for information on which transport hubs still have availability on the day. For full information and to purchase your Shuttle Bus / Park & Ride ticket please see the Hull 2017 page here: Big Weekend Travel.

Information | An Open Access Information Science Journal from MDPI

Eric X on Airbnb’s China Challenge: Difficult Guests “Will new guests respect my home? Are reviews on the portal genuine? I would be generally concerned about all of these as a host in China.From my visits with family, people are generally less trusting of strangers and the legal system than in the US. The home is also a very intimate and private space in China, which would most likely reduce shared home listings.”

The Worshipful Company of Information Technologists works to promote the IT industry, but also runs a significant programme of charitable and educational activities. We are not, however, either the industry professional institution or trade association, although we do have affiliations or other forms of relationships with such bodies.

Mars Cyrillo on On Demand Food Service Sprig To Shut Down “Maple, here in NYC, also shut down after being “acquired” by Deliveroo in the UK. Tough business for sure.” Chris MacAskill on Inside Snap’s Growth Struggles “I have to admit that on days when I get super busy and decide I can’t let myself get interrupted by anything, more often than not Facebook will send me a notification I just have to respond to. They’re so good at alerting me to something I care about, where as Snap is silent and Twitter sends me something inane that annoys me.” Sean Womack on Inside Snap’s Growth Struggles “I’m reminded of the story of Polaroid and it’s founder who basically ran the company into the ground because he wouldn’t listen. When that starts to happen, great talent goes elsewhere and new talent stays away. Perhaps Mr. Spiegel has not realized yet that the talent and the culture are all he’s got, and with both anecdotes like these and the data of slowed growth, it doesn’t bode well for Snap. ” Alex Kazim on What’s Next in the Business of News “I co-founded a startup called Ongo in 2008 that tried to bring the cable model to news. We did a Series A with The New York Times, Washington Post and Gannett and had deals with 35 of the largest publishers. We had algorithms and a handful of editors that curated the best-of-the-best stories. And a reading experience that was the best on the Web. But none of that mattered.” Eric X on Airbnb’s China Challenge: Difficult Guests “Will new guests respect my home? Are reviews on the portal genuine? I would be generally concerned about all of these as a host in China.From my visits with family, people are generally less trusting of strangers and the legal system than in the US. The home is also a very intimate and private space in China, which would most likely reduce shared home listings.” Timothy Campos on When Tech Workers Sit as Far as the Eye Can See ““Politics” is definitely on the rise at FB and while some of this is inevitable due to the physics of large organizations, the facility situation is definitely aggravating the problem. One of the ironic things that occurs at Facebook is that the conference rooms are generally 80%+ booked and often 100% occupied, while the desks remain empty.”

Abstract In this paper, we propose a single image dehazing method aiming at addressing the inherent limitations of the extensively employed dark channel prior (DCP). More concretely, we introduce the Gaussian mixture model (GMM) to segment the input hazy image into scenes based on Read more. In this paper, we propose a single image dehazing method aiming at addressing the inherent limitations of the extensively employed dark channel prior (DCP). More concretely, we introduce the Gaussian mixture model (GMM) to segment the input hazy image into scenes based on the haze density feature map. With the segmentation results, combined with the proposed sky region detection method, we can effectively recognize the sky region where the DCP cannot well handle this. On the basis of sky region detection, we then present an improved global atmospheric light estimation method to increase the estimation accuracy of the atmospheric light. Further, we present a multi-scale fusion-based strategy to obtain the transmission map based on DCP, which can significantly reduce the blocking artifacts of the transmission map. To further rectify the error-prone transmission within the sky region, an adaptive sky region transmission correction method is also presented. Finally, due to the segmentation-blindness of GMM, we adopt the guided total variation (GTV) to tackle this problem while eliminating the extensive texture details contained in the transmission map. Experimental results verify the power of our method and show its superiority over several state-of-the-art methods. Full article

Citizen participation for social innovation and co-creating urban regeneration proposals can be greatly facilitated by innovative IT systems. Such systems can use Open Government Data, visualise urban proposals in 3D models and provide automated feedback on the feasibility of the proposals. Using such a system as a communication platform between citizens and city administrations provides an integrated top-down and bottom-up urban planning and decision-making approach to smart cities. However, generating automated feedback on citizens’ proposals requires modelling domain-specific knowledge i.e., vocabulary and rules, which can be applied on spatial and temporal 3D models. This paper presents the European Commission funded H2020 smarticipate project that aims to achieve the above challenge by applying it on three smart cities: Hamburg, Rome and RBKC-London. Whilst the proposed system architecture indicates various innovative features, a proof of concept of the automated feedback feature for the Hamburg use case ‘planting trees’ is demonstrated. Early results and lessons learned show that it is feasible to provide automated feedback on citizen-initiated proposals on specific topics. However, it is not straightforward to generalise this feature to cover more complex concepts and conditions which require specifying comprehensive domain languages, rules and appropriate tools to process them. This paper also highlights the strengths of the smarticipate platform, discusses challenges to realise its different features and suggests potential solutions. Full article

Placements Internships are not a part of this course, but students who wish to are usually able to obtain work experience (paid or voluntary), or to work with external organisations in completing assignments or carrying out a dissertation project. Details of opportunities are posted on our Moodle forum.

Open AccessArticle The Diffraction Research of Cylindrical Block Effect Based on Indoor 45 GHz Millimeter Wave Measurementsby Xingrong Li, Yongqian Li and Baogang LiInformation 2017, 8, 50; doi:10.3390/info8020050 - 2 May 2017Abstract In this paper, four kinds of block diffraction models were proposed on the basis of the uniform geometrical theory of diffraction, and these models were validated by experiments with 45 GHz millimeter wave in the laboratory. The results are in agreement with the Read more. In this paper, four kinds of block diffraction models were proposed on the basis of the uniform geometrical theory of diffraction, and these models were validated by experiments with 45 GHz millimeter wave in the laboratory. The results are in agreement with the theoretical analysis. Some errors exist in the measurement results because of the unsatisfactory experimental environment. Single conducting cylindrical block measurement error was less than 0.5 dB, and single man block measurement error in the school laboratory was less than 1 dB, while in the factory laboratory environment, the peak to peak error reached 1.6 dB. Human body block attenuation was about 5.9–9.2 dB lower than that of the single conducting cylinder. A human body and a conducting cylinder were used together as a block in model (c) and model (d), but the positions of the cylinder in the two models were different. The measurement results showed that the attenuation of model (d) is about 3 dB higher than that of model (c). Full article►▼ Figures Figure 1Figure 2 --- Figure 3 --- Figure 4 --- Figure 5 --- Figure 6 --- Figure 7 --- Figure 8

You can expect to study for approximately 40 hours per week full-time, and 20 hours per week part-time. The actual time required will vary according to the individual, and with existing experience and prior study.

Abstract Traffic sign recognition plays an important role in intelligent transportation systems. Motivated by the recent success of deep learning in the application of traffic sign recognition, we present a shallow network architecture based on convolutional neural networks (CNNs). The network consists of only Read more. Traffic sign recognition plays an important role in intelligent transportation systems. Motivated by the recent success of deep learning in the application of traffic sign recognition, we present a shallow network architecture based on convolutional neural networks (CNNs). The network consists of only three convolutional layers for feature extraction, and it learns in a backward optimization way. We propose the method of combining different pooling operations to improve sign recognition performance. In view of real-time performance, we use the activation function ReLU to improve computational efficiency. In addition, a linear layer with softmax-loss is taken as the classifier. We use the German traffic sign recognition benchmark (GTSRB) to evaluate the network on CPU, without expensive GPU acceleration hardware, under real-world recognition conditions. The experiment results indicate that the proposed method is effective and fast, and it achieves the highest recognition rate compared with other state-of-the-art algorithms. Full article

More about fees If a student leaves City after commencing but before completing their course, City reserves the right to charge the student the tuition/course fee for the full academic year (or full course for capacity limited post-graduate courses - up to a maximum of 2 years fees) in question. The student may be charged the full fee for that year or course as applicable unless the student is able to present justification that exceptional and unforeseeable reasons for their withdrawal exist.How to payCity has introduced an instalment payment scheme which is available to certain categories of students, including taught postgraduate students. For students following the normal academic year, the annual fee may be paid in two equal instalments: the first on registering, the second on 31st January. If you wish to pay your fees by instalment you must pay the first instalment at or before registration, by cheque or credit/debit card. You must also supply your bank details or credit card details for payment of your second instalment which will be deducted automatically from your bank or credit card account on 31st January. Funding Explore up-to-date information about funding options, available financial support and typical living costs. Future Finance LoansFuture Finance offers students loans of between £2,500 and £40,000 to help cover tuition fees and living expenses. All students and courses are considered. All loans are subject to credit checks and approval for further details please visit the City Finance website.

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Law. an official criminal charge presented, usually by the prosecuting officers of the state, without the interposition of a grand jury. a criminal charge, made by a public official under oath before a magistrate, of an offense punishable summarily. the document containing the depositions of witnesses against one accused of a crime.

The course comprises seven core modules and one elective module. These taught modules run during the first and second terms, whilst the third, summer term is reserved for the dissertation.

A Two-Stage Joint Model for Domain-Specific Entity Detection and Linking Leveraging an Unlabeled Corpusby Hongzhi Zhang, Weili Zhang, Tinglei Huang, Xiao Liang and Kun FuInformation 2017, 8, 59; doi:10.3390/info8020059 - 22 May 2017Abstract The intensive construction of domain-specific knowledge bases (DSKB) has posed an urgent demand for researches about domain-specific entity detection and linking (DSEDL). Joint models are usually adopted in DSEDL tasks, but data imbalance and high computational complexity exist in these models. Besides, traditional Read more. The intensive construction of domain-specific knowledge bases (DSKB) has posed an urgent demand for researches about domain-specific entity detection and linking (DSEDL). Joint models are usually adopted in DSEDL tasks, but data imbalance and high computational complexity exist in these models. Besides, traditional feature representation methods are insufficient for domain-specific tasks, due to problems such as lack of labeled data, link sparseness in DSKBs, and so on. In this paper, a two-stage joint (TSJ) model is proposed to solve the data imbalance problem by discriminatively processing entity mentions with different degrees of ambiguity. In addition, three novel methods are put forward to generate effective features by incorporating an unlabeled corpus. One crucial feature involving entity detection is the mention type, extracted by a long short-term memory (LSTM) model trained on automatically annotated data. The other two types of features mainly involve entity linking, including the inner-document topical coherence, which is measured based on entity co-occurring relationships in the corpus, and the cross-document entity coherence evaluated using similar documents. An overall 74.26% F1 value is obtained on a dataset of real-world movie comments, demonstrating the effectiveness of the proposed approach and indicating its potentiality to be used in real-world domain-specific applications. Full article

The course equips yous with a deep understanding of information and documentation, and its relevance and impact within society. There is a strong focus on technology, ethics, professional communication and networking. You will benefit from a high level of engagement with practitioners, and we are pleased to welcome many leaders in the profession as speakers on our modules.

A Novel Identity-Based Signcryption Scheme in the Standard Modelby Yueying Huang and Junjie YangInformation 2017, 8, 58; doi:10.3390/info8020058 - 19 May 2017Abstract Identity-based signcryption is a useful cryptographic primitive that provides both authentication and confidentiality for identity-based crypto systems. It is challenging to build a secure identity-based signcryption scheme that can be proven secure in a standard model. In this paper, we address the issue Read more. Identity-based signcryption is a useful cryptographic primitive that provides both authentication and confidentiality for identity-based crypto systems. It is challenging to build a secure identity-based signcryption scheme that can be proven secure in a standard model. In this paper, we address the issue and propose a novel construction of identity-based signcryption which enjoys IND-CCA security and existential unforgeability without resorting to the random oracle model. Comparisons demonstrate that the new scheme achieves stronger security, better performance efficiency and shorter system parameters. Full article

City, University of London is an independent member institution of the University of London. Established by Royal Charter in 1836, the University of London consists of 18 independent member institutions with outstanding global reputations and several prestigious central academic bodies and activities.