Miracle-dz/UniFAR-FTUs huggingface dataset:
Seismic Hazard Evaluation for Design of San Vicente Dam Raise

The San Diego County Water Authority (Water Authority) is undertaking a raise of the existing San Vicente Dam to provide both emergency and carryover storage to increase local reservoir supplies in San Diego County, California, USA. The emergency storage is required in case of a disruption to the imported water transmission system from floods or earthquakes and the carry-over storage would be utilized to store water during “wet” seasons to carry-over to seasons of drought. The existing San Vicente Dam is a 220 foot (67 m) high concrete gravity dam completed in 1943 with 90,063 acre-feet of storage. The raised San Vicente Dam will be about 337 feet (102.3 m) high, creating an approximately 247,000 acre-foot reservoir. The dam raise will be constructed using the roller compacted concrete (RCC) method. This paper presents details of the seismic hazard evaluation that formed the basis for development of strong ground motions that were considered in final design of the dam raise. The dam is under the jurisdiction of the California Department of Water Resources, Division of Safety of Dams (DSOD) which requires the use of deterministic ground motions for design. However, the earthquake ground motions at the site are largely controlled by background (or random) earthquakes, which cannot be adequately addressed using deterministic methods alone. This prompted the development of supplemental seismic design ground motions based on a probabilistic seismic hazard analysis (PSHA). The PSHA was performed incorporating the latest information on seismic sources and recently developed Next Generation of Attenuation (NGA) relationships. Based on the results of the PSHA, ground motion parameters (response spectra and time histories) were developed for final design of the dam raise. Comparisons of the deterministic and probabilistic ground motions are provided. Application of the NGA relationships resulted in lower estimates of peak ground accelerations than what were obtained based on the previous attenuation relationships due to the use of the site-specific shear wave velocities
AIS Electronic Library (AISeL)

This study addresses the question of which information presentation format e-retailers should choose to encourage consumers to use their websites. The study proposes a model built on three conceptual foundations: the technology acceptance model (TAM), the theory of cognitive fit, and the trade-off effort-accuracy model. The model posits that consumers’ perceived cognitive effort mediates the relationship between cognitive fit and consumer perceived the perceived usefulness of the website interface for selecting the best product alternative. An online experiment was conducted with 599 e-shoppers. The results suggest that e-retailers encounter a dilemma when selecting the information presentation format for their website interface. Indeed, while cognitive fit is positively related to perceived ease of use of the website, it is negatively related to perceived effort. In turn, perceived effort is positively related to perceived usefulness conceptualized as perceived decision accuracy.
Design of Secure Mobile Communication using Fingerprint

Abstract Mobile handheld device is a popular device that provides secure, private, authentic, and accurate communication and exchange of confidential information. In this paper we propose a technique to solve the authenticity problem in mobile communication. This technique is mainly based on the usage of the Fingerprint to identify both the speaker and the sender. This technique is simple, requires less calculation than other public/private key techniques, assures more authenticity than digital signature, and eliminates the need for a third party. Moreover, when applied to mobile phones, this technique resists any forge imposed by another party. Keywords: Cryptography, Secure Telecommunication, Fingerprint Recognition. 1. Introduction A recent survey carried by Interactive Statistics Corporation (IDC) shows that around 90% of mobile users use messaging as their main communication tool disregarding the safety level of such a communication system; if phones are lost or shared, anyone can access the data on the phone. This is known as the AUTHENTICITY in cryptography science. That is why, scientists should come up with a concept that minimizes the risk associated with losing or sharing a phone, thus offering a safe environment for communication. This paper presents a solution for the above mentioned problem. “Fingerprint Identification Technique” is the most effective technique for solving such a problem. This technique works on the Fingerprint basis whereby the phone can be accessed when it identifies the Fingerprint of the user(s). This paper is organized as follows: In section 2, we provide an overview of the secure communication in mobile handheld device. Then, section 3 describes the digital signature scheme and the related algorithm RSA [3]. In section 4, we write the code of the RSA algorithm in JAVA for the performance purpose. Section 5 gives a literature review of fingerprint matching technique. Next in section 6, we describe the proposed design which is based on the fingerprint to authenticate the caller, the performance of our design is given in section 7 and finally section 8 concludes the paper with future work.
Chapter 12 Wireless LAN Security : 802 . 11 and Wi-Fi

12.1 Background: 802.11 WLAN architecture and overview . 340 12.2 WLAN threats and mitigations . 343 12.3 Security architecture: access control, EAP and RADIUS . 347 12.4 RC4 stream cipher and its use in WEP . 351 12.5 WEP attacks: authentication, integrity, keystream reuse . 353 12.6 WEP security summary and full key recovery . 357 12.7 ‡AES-CCMP frame encryption and key hierarchy . 361 12.8 Robust authentication, key establishment and WPA3 . 364 12.9 ‡End notes and further reading . 369 References . 371
Intrusion Detection System Using Data Mining

Intrusion Detection Systems (IDSs) have become an efficient defense tool against network attacks since they allow network administrator to detect policy violations. However, traditional IDs are vulnerable to original and novel malicious attacks. Also, it is very inefficient to analyze from a large amount volume data such as possibility logs. In addition, there are high false positives and false negatives for the common lDSs. Data mining has been popularly recognized as an important way to mine useful information from large volumes of data which is noisy, fuzzy, and random. Thus, how to integrate the data mining techniques into the intrusion detection systems has become a hot topic recently. In this paper, we present the whole techniques of the IDS with data mining approaches in details.
Multiaccess Fading Channels-Part II: Delay-Limited Capacities

For pt.I see ibid., vol.44, no.7, p.2796-815 (1998). In multiaccess wireless systems, dynamic allocation of resources such as transmit power, bandwidths, and rates is an important means to deal with the time-varying nature of the environment. We consider the problem of optimal resource allocation from an information-theoretic point of view. We focus on the multiaccess fading channel with Gaussian noise, and define two notions of capacity depending on whether the traffic is delay-sensitive or not. In the present paper, we introduce a notion of delay-limited capacity which is the maximum rate achievable with delay independent of how slow the fading is. We characterize the delay-limited capacity region of the multiaccess fading channel and the associated optimal resource allocation schemes. We show that successive decoding is optimal, and the optimal decoding order and power allocation can be found explicitly as a function of the fading states; this is a consequence of an underlying polymatroid structure that we exploit.
PERFORMANCE ANALYSIS OF ZIGBEE BASED WIRELESS SENSOR NETWORK

In this paper zigbee based wireless sensor network performance is analysed and optimized using two different sensor optimization techniques. (a) Random on off time ratio (b) Coding technique. Basic concepts of wireless sensor network is studied in this paper and performance of both techniques are compared and analysed in terms of energy consumption and lifetime of wireless sensor network.
Building Confidential and Efficient Query Services in the Cloud

Cloud computing infrastructures are popularly used by peoples now a day. By using cloud users can save their cost for query services. But some of the data owners are hesitate to put their data’s in cloud because, sometimes the data may be hack when they use in cloud unless the confidentiality of data and secure query processing will be provided by the cloud provider. In cloud if the user can get secured query service then the efficiency of query processing will be increased and the workload of the query processing will also be saved. To provide the confidentiality and efficient query service here we proposed RASP method. RASP denotes RAndom Space Perturbation. It also combines order preserving encryption, random projection and random noise injection. In order to process the range query to kNN query here we used kNN-R algorithm. We also analyze the RASP method will secure the multidimensional range and it will increase the working process of query.
The scalable commutativity rule

Developing software that scales on multicore processors is an inexact science dominated by guesswork, measurement, and expensive cycles of redesign and reimplementation. Current approaches are workload-driven and, hence, can reveal scalability bottlenecks only for known workloads and available software and hardware. This paper introduces an interface-driven approach to building scalable software. This approach is based on the scalable commutativity rule, which, informally stated, says that whenever interface operations commute, they can be implemented in a way that scales. We formalize this rule and prove it correct for any machine on which conflict-free operations scale, such as current cache-coherent multicore machines. The rule also enables a better design process for scalable software: programmers can now reason about scalability from the earliest stages of interface definition through software design, implementation, and evaluation.
International Journal of Advanced Research in Computer Science and Software Engineering

— Search engines are designed to crawl and index the web pages efficiently for better search results. There is huge contribution of link building for website popularity. The number of backlinks play an important role for website ranking in search engines. Backlink is any link received by a website from another website. This paper describes the techniques of making backlinks with its effect in improving search engine ranking.
Constructing a Social Science for Postwar America: The Cybernetics Group, 1946-1953

In this sequel to his double biography of John von Neumann and Norbert Wiener, Steve Heims recounts another story in 20th-century intellectual history - a series of encounters that captured a moment of transformation in the human sciences. Focusing on the Macy Foundation conferences, which were designed to forge connections between wartime science and post-war social science, Heims's richly detailed account explores the dialogues that emerged among a remarkable group that included Wiener, von Neumann, Margaret Mead, Gregory Bateson, Warren McCulloch, Kurt Lewin, Molly Harrower, and Lawrence Kubie. Heims shows how those dialogues shaped ideas in psychology, sociology, anthropology and psychiatry.
Ant colony optimization

Swarm intelligence is a relatively new approach to problem solving that takes inspiration from the social behaviors of insects and of other animals. In particular, ants have inspired a number of methods and techniques among which the most studied and the most successful is the general purpose optimization technique known as ant colony optimization. Ant colony optimization (ACO) takes inspiration from the foraging behavior of some ant species. These ants deposit pheromone on the ground in order to mark some favorable path that should be followed by other members of the colony. Ant colony optimization exploits a similar mechanism for solving optimization problems. From the early nineties, when the first ant colony optimization algorithm was proposed, ACO attracted the attention of increasing numbers of researchers and many successful applications are now available. Moreover, a substantial corpus of theoretical results is becoming available that provides useful guidelines to researchers and practitioners in further applications of ACO. The goal of this article is to introduce ant colony optimization and to survey its most notable applications
Trust in Internet Shopping: A Test of a Measurement Instrument

This study tests a measurement model of consumer's trust in Internet shopping (CTIS), proposed by C. Cheung and M. Lee. The model posits trustworthiness of Internet vendors (including perceived security control, privacy control, integrity and competence) and external environment (third part recognition and legal framework) as being positively related to CTIS and moderated by propensity to trust. The model also posits a negative relationship between CTIS and perceived risk in Internet shopping. The author sampled 118 day and evening MBA students at a midwestern university using Cheung's instrument. The model was partially supported. Confounding influences from a multinational sample influenced the results.
Multimodal Intercultural Information and Communication Technology – A framework for designing and evaluating Multimodal Intercultural Communicators

The paper presents a framework, combined with a checklist for designing and evaluating multimodal, intercultural ICT, especially when embodied artificial communicators are used as front ends for data bases, as digital assistants, as tutors in pedagogical programs or players in games etc. Such a framework is of increasing interest, since the use of ICT across cultural boundaries in combination with the use of ICT by persons with low literacy skills is rapidly increasing. This development presents new challenges for intercultural ICT. A desideratum for interculturally sensitive artificial communicators is a generic, exportable system for interactive communication with a number of parameters that can be set to capture intercultural variation in communication. This means a system for a Generic, Multimodal, Intercultural Communicator (a GMIC).
D-Tree Substitution Grammars

There is considerable interest among computational linguists in lexicalized grammatical frameworks; lexicalized tree adjoining grammar (LTAG) is one widely studied example. In this paper, we investigate how derivations in LTAG can be viewed not as manipulations of trees but as manipulations of tree descriptions. Changing the way the lexicalized formalism is viewed raises questions as to the desirability of certain aspects of the formalism. We present a new formalism, d-tree substitution grammar (DSG). Derivations in DSG involve the composition of d-trees, special kinds of tree descriptions. Trees are read off from derived d-trees. We show how the DSG formalism, which is designed to inherit many of the characterestics of LTAG, can be used to express a variety of linguistic analyses not available in LTAG.
Real-time hydrometeor classification for the operational forecasting environment

Dual Polarization radar measurements of precipitation provide valuable information about the shape, size, orientation, phase state, and fall dynamics of hydrometeors. Characteristics of polarimetric signals from bulk hydrometeors and other scatterer types have been well documented within the research community. Utilizing this information for classification is a challenging mapping problem. Some of the classification techniques have often used a subset of polarimetric covariance matrix elements such as co-polar data measurements; some are specialized for hail identification. Initially, contours of Boolean logic equations were used to depict distinct populations of empirically identified hydrometeor classes in the parameter space. In the last decade, the fuzzy logic algorithms have proven successful, validated by in-situ observations (Liu and Chandrasekar 2000, Bringi and Chandrasekar 2001, Zrnić et al 2001, Lim et al. 2005, Baldini et al. 2005, Ryzhkov et al. 2005).
A Centralised Cloud Services Repository (CCSR) Framework for Optimal Cloud Service Advertisement Discovery From Heterogenous Web Portals

A cloud service marketplace is the ﬁrst point for a consumer to discovery, select and possible composition of different services. Although there are some private cloud service marketplaces, such as Microsoft Azure, that allow consumers to search service advertainment belonging to a given vendor. However, due to an increase in the number of cloud service advertisement, a consumer needs to ﬁnd related services across the worldwide web (WWW). A consumer mostly uses a search engine such as Google, Bing, for the service advertisement discovery. However, these search engines are insufﬁcient in retrieving related cloud services advertainments on time. There is a need for a framework that effectively and efﬁciently discovery of the related service advertisement for ordinary users. This paper addresses the issue by proposing a user-friendly harvester and a centralised cloud service repository framework. The proposed Centralised Cloud Service Repository (CCSR) framework has two modules - Harvesting as-a-Service (HaaS) and the service repository module. The HaaS module allows users to extract real-time data from the web and make it available to different ﬁle format without the need to write any code. The service repository module provides a centralised cloud service repository that enables a consumer for efﬁcient and effective cloud service discovery. We validate and demonstrate the suitability of our framework by comparing its efﬁciency and feasibility with three widely used open-source harvesters. From the evaluative result, we observe that when we harvest a large number of services advertisements, the HaaS is more efﬁcient compared with the traditional harvesting tools. Our cloud services advertisements dataset is publicly available for future research at: http://cloudmarketregistry.com/cloud-market-registry/home.html.
An Agile Technique for Agent Based Goal Refinement to Elicit Soft Goals in Goal Oriented Requirements Engineering

Goal oriented requirements engineering methods have gained significance because they define the requirements in terms of goals which are well understood by the stakeholders. Although the goals are extracted from the stakeholders having good domain knowledge, but extracting these goals is a challenging task in the goal oriented methods, especially the soft goals about which even the stakeholders have very little knowledge. To extract the soft goals, the high level goals are decomposed and a guiding model for goal refinement involving active participation of stakeholders, is essential. We propose a methodology driven approach involving maximum participation of stakeholders for eliciting the soft goals, where the soft goals are elicited by the stakeholders from the high-level goals through the process of Goal Refinement, involving Agents. The elicited goals are compiled through a software program called Activity Card Compiler. The methodology is used for Soft Goal Elicitation for the development of an Web Based News Application. We present an analysis of our results.
Linearity and Word Internal Structure in the Visual Processing of Italian Complex Words

In this paper we address the theoretical debate about the representation and processing of derived words, presenting the results of a lexical decision task experiment aiming to investigate the visual recognition of Italian prefixed and suffixed words and nonwords. The study was specifically designed to test hypotheses stemming from the manipulation of two linguistic factors: (1) linearity (i.e., sequential order of morphemes), and (2) various degrees of complexity of the internal structure of particular types of Italian derived words. Our findings show that suffixed and prefixed words and nonwords are not generally processed in the same way because they are not a homogenous set. Prefixes and suffixes instead engender different processing strategies, as has also been suggested by Cole et al. (1989) and Hay (2001). Moreover our data reveal that derived words are not necessarily processed more quickly or slowly than simple words (Bertram et al., 2000), but that their processing varies according to the nature of the affixes, the order in which they appear, and the information encoded in the affix. This working paper is available in University of Pennsylvania Working Papers in Linguistics: http://repository.upenn. edu/pwpl/
SELF HEALING ROBOTS

When people or animals get hurt, they can usually compensate for minor injuries and keep limping along, but for robots, even slight damage can make them stumble and fall. Now a robot scarcely larger than a human hand has demonstrated a novel ability: It can recover from damage -- an innovation that could make robots more independent. The new robot, which looks like a splay-legged, four-footed starfish, deduces the shape of its own body by performing a series of playful movements, swiveling its four limbs. By using sensors to record resulting changes in the angle of its body, it gradually generates a computerized image of itself. The robot then uses this to plan out how to walk forward. The researchers hope similar robots will someday respond not only to damage to their own bodies but also to changes in the surrounding environment. Such responsiveness could lend autonomy to robotic explorers on other planets like Mars -- a helpful feature, since such robots can't always be in contact with human controllers on earth. Aside from practical value, the robot's abilities suggest a similarity to human thinking as the robot tries out various actions to figure out the shape of its world. vi
Multi-document Multilingual Summarization Corpus Preparation, Part 2: Czech, Hebrew and Spanish Multi-document Multilingual Summarization and Evaluation Tracks in Acl 2013 Multiling Workshop Acl 2013 Multiling Pilot Overview Cist System Report for Acl Multiling 2013 – Track 1: Multilingual Multi-doc

This document overviews the strategy, effort and aftermath of the MultiLing 2013 multilingual summarization data collection. We describe how the Data Contributors of MultiLing collected and generated a multilingual multi-document summarization corpus on 10 different languages: Arabic, Chinese, Czech, English, French, Greek, Hebrew, Hindi, Romanian and Spanish. We discuss the rationale behind the main decisions of the collection, the methodology used to generate the multilingual corpus, as well as challenges and problems faced per language. This paper overviews the work on Arabic, Chinese, English, Greek, and Romanian languages. A second part, covering the remaining languages, is available as a distinct paper in the MultiLing 2013 proceedings.
The TL-NTU Text-to-speech System for the Blizzard Challenge 2018

In this work, we describe the TL-NTU’s text-to-speech (TTS) system for the Blizzard Challenge 2018. Our efforts are mainly focused on two aspects, which are the front-end text analysis and back-end model training. For the front-end text analysis, we include phonetic, syllable, and word-level linguistic features using lexicon and word-level text analysis for fullcontext feature extraction. For back-end model training, a feedforward Deep Neural Network (DNN) based phone duration model and a bidirectional long short-term memory (BLSTM) based acoustic model are trained. The performance of our system is assessed by reporting the results of listening tests provided by the challenge organizer.