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A significant proportion of Web traffic is now attributed to Web robots, and this proportion is likely to grow over time. These robots may threaten the security, privacy, functionality, and performance of a Web server due to their unregulated crawling behavior. Therefore, to assess their impact, it must be possible to accurately detect Web robot requests. Contemporary detection approaches, however,...
Web entities are the building blocks of human knowledge and users are making decisions among vast varieties of entities. For example, recommendation systems generate lists of entities to users, but seldom show the reasons of recommendation such as the uniqueness of each item to assist user decision making. In this paper, we mathematically define Web entity uniqueness and uniqueness patterns, based...
This paper introduces a novel image quality metric that outperforms other existing and widely used metrics, namely the Root Mean Square Error (RMSE). While objective methods for assessing perceptual image quality to quantify the visibility of errors between a distorted image and a reference image have got utmost importance nowadays, none of the proposed metrics are completely satisfactory. Structural...
Whenever a research scholar starts working on some innovative ideas he/she searches for the domain specific technical research articles published as research papers in most of the international journals, conferences or workshops. The problems associated with these papers are similarity in contents and repeated relevant information. Reading these all relatedpapers completely one by one to get the latest...
Human activity recognition finds many applications in areas such as surveillance, and sports. Such a system classifies a spatio-temporal feature descriptor of a human figure in a video, based on training examples. However many classifiers face the constraints of the long training time, and the large size of the feature vector. Our method, due to the use of an Support Vector Machine (SVM) classifier,...
When information systems are introduced in a social setting such as a business, the systems will give bad and good impacts on stakeholders in the setting. Requirements analysts have to predict such impacts in advance because stakeholders cannot decide whether the systems are really suitable for them without such prediction. In this paper, we propose a method based on model transformation patterns...
Human beings are involved in a broad range of social relationships spanning from real life experiences to online media and social networks. This is leading people to act in a multilayered complex network whose relationships among different layers have still to be analyzed and understood in depth. In this paper, we focus on this problem by comparing and overlapping the online sociality (Facebook network)...
Blocking artifact reduction or deblocking algorithm is an important component in modern block-based video encoding architecture and often used as post-processing procedures in many encoding/transcoding applications. Most of the existing video deblocking algorithms do not take into account Human Visual System(HVS) models and employ empirically designed filters, resulting in suboptimal perceptual image...
Safety-critical systems are systems where failures lead to catastrophic results: resulting in loss of life, significant property damage, or damage to the environment. These systems range from aerospace on-board control systems, ground flight control systems, medical devices, nuclear power plants control, automotive systems, military systems, just to name a few. Other information systems are becoming...
Image quality assessment (IQA) is a crucial feature of many image processing algorithms. The state-of-the-art IQA index, the structural similarity (SSIM) index, has been able to accurately predict image quality by assuming that the human visual system (HVS) separates structural information from non-structural information in a scene. However, the precision of SSIM is relatively lacking when used to...
Evaluating Semantic similarity has a widely application areas range from Psychology, Linguistics, Cognitive Science to Artificial Intelligence. This paper proposes the merely use of HowNet to evaluate Information Content (IC) as the semantic similarity of two terms or word senses. While the conventional ways of measuring the IC of word senses must depend on both an ontology like WordNet and a large...
Web based machine translation is now public ally available to Internet users. To address its effectiveness in assisting people in real translation task, this paper presents a controlled user study on how human choose and modify MT results during translating the paper titles. It reveals the translation quality of MT system in certain aspects through an analysis of the translator log.
Task allocation strategy has a great impact on the performance of the workflow management system in workflow scheduling. Most task allocation algorithms focus on the resource status only. Few algorithms consider the change of efficiency while performer working with different people. To achieve this, this paper presents a concept of Social Context Impact Factor (SCIF) and implements several task allocation...
Despite evidence that human wayfinders consider directions involving landmarks or topological descriptions easier to follow, the majority of commerical direction-planning services and GPS navigation units plan routes based on metrically or temporally shortest paths, ignoring this potentially valuable information. We propose a method for generating directions that maximizes the probability of a human...
A benchmark evaluation dataset which reflects users' search behaviors in the real world is indispensable for evaluating the performance of information retrieval applications. A typical evaluation dataset consists of a document set, a topic set and relevance judgments. Manual preparation of an evaluation dataset needs much human cost, and human-made topics may not fully capture users' real search needs...
We present results from a web-based experiment conducted to assess the effect of Twitter metadata on decision making in content consumption. Participants were presented with information concerning two tweets and asked which they would prefer to read. Analysis of the results shows that recognition of the author as being within the readers local network is highly influential in the decision to read...
This paper deals with issues on measuring scales. It begins with a discussion of an ongoing debate between measurement theorists regarding measurement of intangible variables in social sciences. The three measurement theories namely Representational, Operational and Classical measurement theories are presented. It then reviews several scales developed by researchers focusing on the ubiquitous Likert...
The structure of the current Internet does not fully reflect the structure of human relationships in the real world. Human relationships are structured as various community networks, however IP-based network is essentially not structured in terms of information retrieval and sharing. In the communication style on the current network, end node can obtain information and contents from the whole of the...
Biometric recognition based on the characteristics of human faces has attracted a great deal of attention over the past few years. However, the similarity in the facial appearance of identical twins has made the task difficult and has even compromised commercial face recognition systems. In this paper, we shed new light on the study of facial recognition of identical twins and propose a novel approach...
In managing multimedia services, it is important to understand how network performance affects user experience. The model presented in this paper aims to estimate user perception of video quality based on defect events, which are automatically classified by machine learning techniques. The underlying principle of our model is that human experience is event-based and there is a strong correlation between...
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