Authors: Fatemeh Mirrashed, Vlad I Morariu, Behjat Siddiquie, Rogerio S Feris, Larry S Davis
Abstract: We study the use of domain adaptation and transfer learning techniques as part of a framework for adaptive object detection. Unlike recent applications of domain adaptation work in computer vision, which generally focus on image classification, we explore the problem of extreme class imbalance present when performing domain adaptation for object detection. The main difficulty caused by this imbalance is that test images contain millions or billions of negative image sub windows but just a few image sub windows containing positive instances, which makes it difficult to adapt to changes in the positive classes present new do-mains by simple techniques such as random sampling. We propose an initial approach to addressing this problem and apply our technique to vehicle detection in a challenging urban surveillance dataset, demonstrating the performance of our approach with various amounts of supervision, including the fully unsupervised case.
Title: Thermal energy storage using thermo-chemical heat pump
Authors: MA Hamdan a, , SD Rossides b , R Haj Khalil
Abstract: A theoretical study was performed to investigate the potential of storing thermal energy using a heat pump which is a thermo-chemical storage system consisting of water as sorbet, and sodium chloride as the sorbent. The effect of different parameters namely; the amount of vaporized water from the evaporator, the system initial temperature and the type of salt on the increase in temperature of the salt was investigated and hence on the performance of the thermo chemical heat pump. It was found that the performance of the heat pump improves with the initial system temperature, with the amount of water vaporized and with the water remaining in the system. Finally it was also found that lithium chloride salt has higher effect on the performance of the heat pump that of sodium chloride.
Publish Year: 2013
Published in: Energy Conversion and Management - Science Direct
Title: Clustering local frequency items in multiple databases
Authors: Animesh Adhikari
Abstract: Frequent items could be considered as a basic type of patterns in a database. In the context of multiple data sources, most of the global patterns are based on local frequency items. A multi-branch company transacting from different branches often needs to extract global patterns from data distributed over the branches. Global decisions could be taken effectively using such patterns. Thus, it is important to cluster local frequency items in multiple databases. An overview of the existing measures of association is presented here. For the purpose of selecting the suitable technique of mining multiple databases, we have surveyed the existing multi-database mining techniques. A study on the related clustering techniques is also covered here. The notion of high frequency item sets is introduced here, and an algorithm for synthesizing supports of such item sets is designed. The existing clustering technique might cluster local frequency items at a low level, since it estimates association among items in an item set with a low accuracy, and thus a new algorithm for clustering local frequency items is proposed. Due to the suitability of measure of association A 2, association among items in a high frequency item set is synthesized based on it. The soundness of the clustering technique has been shown. Numerous experiments are conducted using ve datasets, and the results on different aspects of the proposed problem are presented in the experimental section. The effectiveness of the proposed clustering technique is more visible in dense databases.
Publish Year: 2013
Published in: Information Sciences - Science Direct
موضوع: داده کاوی (Data Mining) - خوشه بندی (Clustering)
Abstract: The purpose of this paper is to describe a new emerging science: Internet science. This paper argues that cur-rent Internet is a direct by-product of Shannon’s Information theory and its master thesis. After that I attempt a general and generic definition of a network and discuss the different alternatives. This discussion results in defining a network as asset of distributed actors cooperating for exchanging information. Based on this definition, I describe how cooperation in networks happens at two conceptual levels: on the structure and the growth of the network and on the information exchange (or forwarding). After describing a potential approach to understand the growth of a network as resulting from an iterative prisoner’s dilemma game, I explained how forwarding cooperation can be divided into three classes: full cooperation, selfishness and non-rational cases. This discussion opens a discussion on the need to develop a new economical theory for understanding networks and information exchange.
به دنبالطرح معلمکه تخفیف های ارزنده ای را برای کاربران ارائه کرده است تعدادی از کاربران خواستار دریافت تخفیف های بدون محدودیت زمانی بودند لذا با موافقت مدیریت محترم مجموعه ایران سای و در راستای هر چه بیشتر یاری رساندن به کاربران محترم، تعرفه هایی به شرح زیر ارائه می گردد. امیدواریم با این گام بسیار کوچک کمکی به کاربران ایران سای کرده باشیم.
کلیه تعرفه های زیر بدون محدودیت زمانی می باشند و این اطلاعیه تا پایان اردیبهشت ماه 1392 در قالب طرح معلم2 معتبر خواهد بود.
کاربرانی که 10 امتیاز خریداری می کنند 12 امتیاز دریافت خواهند کرد.
کاربرانی که 20 امتیاز خریداری می کنند 25 امتیاز دریافت خواهند کرد.
کاربرانی که 30 امتیاز خریداری می کنند 38 امتیاز دریافت خواهند کرد.
کاربرانی که 40 امتیاز خریداری می کنند 51 امتیاز دریافت خواهند کرد.
کاربران که 50 امتیاز خریداری می کنند 65 امتیاز دریافت خواهند کرد.
کاربران گرامی پس از خرید امتیاز، لطفا ایمیلی را بهFinancial@IranSci.irبا عنوان تخفیف طرح معلم 2 ارسال نمایند (یا به پشتیبانی آنلاین اطلاع دهند) تا نسبت به ارتقاء امتیازشان اقدام شود.
Abstract: Neurons in the medial entorhinal cortex of rats have been found to respond in a two-dimensional hexagonal grid pattern anchored to the environment. Grid cells with different spatial frequencies are thought to contribute to the creation of unimodal place cell responses useful for spatial navigation. In this paper we present results from an analog VLSI circuit that generates a hexagonal grid of activity using continuous attractor dynamics and transmits this pattern via neuron-like spikes. This circuit is a component of a larger system for modeling the neural circuits underlying mammalian spatial navigation.
Abstract: The concept of the strongest path plays a crucial role in fuzzy graph theory. In classical graph theory, all paths in a graph are strongest, with a strength value of one. In this article, we introduce Menger’s theorem for fuzzy graphs and discuss the concepts of strength- reducing sets and t-connected fuzzy graphs. We also characterize t-connected and t-arc connected fuzzy graphs.
Publish Year: 2013
Published in: Information Sciences - Science Direct
Title: Clinical Information Systems in Private Hospitals
Author: Aini Aman
Abstract: With the tremendous developments in Information Technology (IT), many organizations in private sectors use IT to transform their services and operation. Like any other sectors, the health sector has been benefited from the adoption of IT in transforming their services for society well-being. The applications of IT have greatly improved accessibility, quality and cost-effectiveness of health care. Clinical Information Systems (CIS) are one of the examples of the applications of IT in healthcare. CIS are computer applications that support the operations of clinicians engaged in providing care to patients. However, CIS does not always improve the outcomes and performance of the health professionals, but might bring about negative impacts on their performance and practices. Studies on medical errors have shown that errors in healthcare and medicine are not rare and may bring about severe harm to patients. This paper aims to understand the use of CIS in hospitals and their impact on patient safety. Using interviews with medical practitioners in private hospitals in Malaysia, the findings provide insights for system developers and hospital managers on the usability of CIS to ensure the delivery of better patient care since error reduction is one of the dimensions of health service quality.
Publish Year: 2013
Published in: ICACT – IEEE
موضوع: سیستمهای اطلاعاتی بیمارستانی (Hospital Information Systems)
Title: Leveraging a Crowd Sourcing Methodology to Enhance Supply Chain Integrity
Authors: Han Lin, Moses Schwartz, John Michalski, Mayuri Shakamuri, Philip Campbell
Abstract: Supply chain integrity (SCI) is emerging as one of the top security issues facing critical systems. The government’s reliance on commercial off-the-shelf (COTS) products is apparent, as is the threat of critical systems being designed and manufactured overseas. To date, few tools or capabilities exist to prevent or even detect these classes of attacks. Programs, such as DARPA Trust, exist to identify solutions; however, alternative strategies must be explored. It is extremely challenging to establish the trustworthiness of a supply chain for a product or system in today’s globalized climate, especially given the complexity and variability of the hardware and software, and the diverse geographical areas where they are made. Counterfeit items, from individual chips to entire systems, have been found both in commercial and government sectors. Supply chain attacks can be inserted at any point during the product or system life cycle and can have detrimental effects to mission success. We hypothesize that wisdom of crowds techniques may be applicable to the analysis of supply chain integrity. Current supply chain security efforts are hindered by a lack of detailed information on a product’s entire supply chain. End-users have virtually no access to supply chain information, and even major manufacturers may have difficulty getting access to their suppliers’ Sub suppliers. Component testing and even reverse engineering can be used to mitigate risks, but these approaches are imperfect, time consuming, and expensive. This paper will discuss the development of a semi-automated supply chain integrity risk analysis framework to assist the supply chain security analysts in assessing the level of risk associated with a component of a mission critical system. This capability can provide the system designer a more rigorous and efficient approach to assess the security of the components in the design. By fusing all of these tools into a centralized framework, we hypothesis that we can create a capability that will enable analysts to more effectively interrogate the data and extract trending as well as critical information.
Title: Data mining agent conversations: A qualitative approach to multi-agent systems analysis
Authors: Emilio Serrano, Michael Rovatsos, Juan A Botia
Abstract: This paper presents a novel method for analyzing the behavior of multivalent systems on the basis of the semantically rich information provided by agent communication languages and interaction protocols specified at the knowledge level. More low-level communication mechanisms only allow for a quantitative analysis of the occurrence of message types, the frequency of message sequences, and the empirical distributions of parameter values. Quite differently, the semantics of languages and protocols in multi-agent systems can help to extract qualitative properties of observed conversations among agents. This can be achieved by interpreting the logical constraints associated with protocol execution paths or individual messages as the context of an observed interaction, and using them as features of learning samples. The contexts mined from such analyses, or context models, can then be used for various tasks, e.g. for predicting others future responses (useful when trying to make strategic communication decisions to achieve a particular outcome), to support ontological alignment (by comparing the properties of logical constraints attached to messages across participating agents), or to assess the trustworthiness of agents (by verifying the logical coherence of their behavior). This paper details a formal approach that describes our notion of context models in multi-agent conversations, an implementation of this approach in a practical tool for mining qualitative context models, and experimental results to illustrate its use and utility.
Publish Year: 2013
Published in: Information Sciences - Science Direct
موضوع: داده کاوی (Data Mining) – عاملهای هوشمند (Intelligent Agents)
تبادل
لینک هوشمند
برای تبادل
لینک ابتدا ما
را با عنوان
دانلود مقاله ISI
و آدرس
downloadpaperisi.LXB.ir
لینک
نمایید سپس
مشخصات لینک
خود را در زیر
نوشته . در صورت
وجود لینک ما در
سایت شما
لینکتان به طور
خودکار در سایت
ما قرار میگیرد.
خبرنامه وب سایت:
آمار
وب سایت:
بازدید امروز :
بازدید دیروز :
بازدید هفته :
بازدید ماه :
بازدید کل :
تعداد مطالب : 143
تعداد نظرات : 1
تعداد آنلاین : 1
تبادل
لینک هوشمند
خبرنامه وب سایت:
آمار
وب سایت: