Miracle-dz/UniFAR-FTUs huggingface dataset:
Representations for evolutionary algorithms

Franz Rothlauf received a Diploma in Electrical Engineering from the University of Erlangen, Germany, a Ph.D. in Information Systems from the University of Bayreuth, Germany, a Habilitation from the university of Mannheim, Germany, in 1997, 2001, and 2007, respectively. He is currently chair of Information Systems, Mainz University, Germany. He has published more than 50 technical papers in the context of evolutionary computation, co-edited several conference proceedings, and is author of the book “Representations for Genetic and Evolutionary Algorithms” which is published in a second edition in 2006. His main research interests are problem representations for heuristic search approaches especially evolutionary algorithms. He is a member of the Editorial Board of Evolutionary Computation Journal and Journal of Artificial Evolution and Applications. He has been organizer of several workshops on representations issues, chair of EvoWorkshops in 2005 and 2006, co-organizer of the European workshop series on ”Evolutionary Computation in Communications, Networks, and Connected Systems”, co-organizer of the European workshop series on ”Evolutionary Computation in Transportation and Logistics”, and co-chair of the program commitee of the GA track at GECCO 2006. He was conference chair of GECCO 2009.
AIS Electronic Library (AISeL)

The growth of the agriculture sector in the Philippines for the past few years has been anemic. Smallholder farmers in the country are considered to be one of the impoverished group. These farmers are vulnerable to exploitations by dominant groups caused by their lack of capital, lack of inputs, lack of post-harvest facilities, and lack of information to trade directly to the market. The rapid growth of Information and Communication Technology (ICT) provides ways to share and access information. ICT in agriculture, also known as e-agriculture, provides solutions to agricultural challenges. The present study focuses on business-to-business e-commerce and investigates how it can be applied in the Philippine setting. The purpose of this study is to develop a B2B e-commerce framework that will facilitate smallholders' access to agricultural inputs and connections to suppliers and buyers. As a result of literature review and initial interviews, the structure and flow of information of the proposed B2B framework is presented. The framework to be developed from this study can be used to help smallholders improve their livelihood, address some of the growing challenges in the agriculture sector of the Philippines, and contribute to the body of knowledge.
Impossibility of Simulation Secure Functional Encryption Even with Random

In this work we study the feasibility of achieving simulation security in functional encryption (FE) in the random oracle model. Our main result is negative in that we give a functionality for which it is impossible to achieve simulation security even with the aid of random oracles. We begin by giving a formal definition of simulation security that explicitly incorporates the random oracles. Next, we show a particular functionality for which it is impossible to achieve simulation security. Here messages are interpreted as seeds to a (weak) pseudorandom function family F and private keys are ascribed to points in the domain of the function. On a message s and private key x one can learn F (s, x). We show that there exists an attacker that makes a polynomial number of private key queries followed by a single ciphertext query for which there exists no simulator. Our functionality and attacker access pattern closely matches the standard model impossibility result of Agrawal, Gorbunov, Vaikuntanathan and Wee (CRYPTO 2013). The crux of their argument is that no simulator can succinctly program in the outputs of an unbounded number of evaluations of a pseudorandom function family into a fixed size ciphertext. However, their argument does not apply in the random oracle setting since the oracle acts as an additional conduit of information which the simulator can program. We overcome this barrier by proposing an attacker who decrypts the challenge ciphertext with the secret keys issued earlier without using the random oracle, even though the decryption algorithm may require it. This involves collecting most of the useful random oracle queries in advance, without giving the simulator too many opportunities to program. On the flip side, we demonstrate the utility of the random oracle in simulation security. Given only public key encryption and low-depth PRGs we show how to build an FE system that is simulation secure for any poly-time attacker that makes an unbounded number of message queries, but an a-priori bounded number of key queries. This bests what is possible in the standard model where it is only feasible to achieve security for an attacker that is bounded both in the number of key and message queries it makes. We achieve this by creating a system that leverages the random oracle to get one-key security and then adapt previously known techniques to boost the system to resist up to q queries. Finally, we ask whether it is possible to achieve simulation security for an unbounded number of messages and keys, but where all key queries are made after the message queries. We show this too is impossible to achieve using a different twist on our first impossibility result. ∗Visa Research. Email: shashank.agraval@gmail.com. †University of Texas at Austin. Email: k.venkata. vk@gmail.com. Supported by NSF CNS-1228599 and CNS1414082, and DARPA SafeWare. ‡University of Texas at Austin. Email: bwaters@cs.utexas. edu. Supported by NSF CNS-1228599 and CNS-1414082, DARPA SafeWare, Microsoft Faculty Fellowship, and Packard Foundation Fellowship.
Onyx : a phase-change memory storage array

This thesis describes a prototype, high-performance, solid -state drive based on first-generation phase-change memory (PCM) devices called Onyx. Onyx has a capacity of 10 GB and connects to a host machine via PCI-Express. This thesis also describes the PCM DIMMs that make up Onyx, including the PCM memory devices used, and the FPGA-based controller that manages the PCM DIMMs. This thesis provides insight into the PCM DIMM design process and shows the changes required to integrate future-generation PCM. This thesis also describes my experience with an existing wear-leveling technique, which I implemented in Onyx in order to manage wear. My results show that Onyx outperforms a state-of-the-art FusionIO ioDrive flash memory SSD for both reads and small writes. Also, I show that Onyx also incurs significantly less CPU overhead per IOP for small requests, which has the advantage of saving power. My results also show that a first-generation PCM- based SSD performs on par with a flash-based SSD in real- world workloads. As part of my study, I address the performance impact of start-gap wear-leveling in Onyx
Blog Data Analytics Using Blogtrackers

Social media has grown to be the place for voicing one's opinions, sharing information, and shaping discourse. Individuals use social media as a platform to mobilize, coordinate, and conduct cyber campaigns ranging from awareness for diseases or disorders to deviant acts threatening democratic principles and institutions. Blogosphere has continued to rise and afford an effective medium for content framing. With no restriction on the number of characters, many use blogs to set narratives then use other social media channels like Twitter and Facebook to steer their audience to their blogs. Blog content is not structured and hard to collect than other social media channels. Blog monitoring and analysis could be of great use to sociologists, political scientists, communication researchers, journalists, and information scientists to examine events. Toward this direction, we present Blogtrackers tool, which is designed to explore the blogosphere and gain insights on various events. Blogtrackers can help in identifying leading information actors, influential bloggers, popular and emerging trends assess tones, sentiments and opinions, extract entities, and analyze their networks.
Water quality and recreational use of public waterways

ABSTRACT This study combines routinely collected water quality data from Ireland and an on-site survey of waterway users to evaluate whether trip duration is responsive to changes in water quality. Four categories of recreational users are considered: anglers, boaters, other water sports (e.g. rowing, swimming, canoeing, etc.) and land-based activities at water sites, specifically walking and cycling. Water quality measures included in the analysis include Water Framework Directive (WFD) status, biochemical oxygen demand, ammonia, phosphorus and faecal coliform. The analysis finds evidence that higher levels of recreational demand (i.e. trips of longer duration) occur at sites with better water quality. However, we also find no statistical association between the overall WFD status and the duration of the recreational trip, which indicates that WFD status is of limited practical use for recreational users.
Using low-density discrete Airborne Laser Scanning data to assess the potential carbon dioxide emission in case of a fire event in a Mediterranean pine forest

The aim of study is to map the carbon dioxide (CO2) emission of the aboveground tree biomass (AGB) in case of a fire event. The suitability of low point density, discrete, multiple-return, Airborne Laser Scanning (ALS) data and the influence of several characteristics of these data and the study area on the results obtained have been evaluated. A sample of 45 circular plots representative of Pinus halepensis Miller stands were used to fit and validate the model of AGB. The ALS point clouds were processed to obtain the independent variables and a multivariate linear regression analysis between field data and ALS-derived variables allowed estimation of AGB. Then, the influence of several characteristics on the residuals of the model was analyzed. Finally, conversion factors were applied to obtain the CO2 values. The AGB model presented a R2 value of 0.84 with a relative root-mean-square error of 27.35%. This model included ALS variables related to vegetation height variability and to canopy density. Terrain slope, aspect, canopy cover, scan angle and the number of laser returns did not influence AGB estimations at plot level.
Paper Title (use style: paper title)

In this paper , a new Hash Function based on one dimensional logistic mapping is constructed , and the control parameter and iteration numbers of piecewise linear chaotic map is produced by the Logistic map. Let the iteration consequence make a linear change, one way scattered functions has a good flexibility and anti-collision by explanation. It can be found that the function that is constructed in this paper has good randomicity and collisionavoided. Through the computer simulation experiment, it indicates that the proposed algorithm can satisfy the performance requirements of hash function. From the theoretical analysis and computer simulation experiment, this arithmetic meets the various needs of the Hash functions, and it has the features of high efficient ,flexible, high operability and good reliability. So it can be widely used in digital signature and authentication system. Keywordschaotic dynamical systems; Hash function; onedimensional Logistic chaotic map
AN EFFECTIVE INFORMATION SYSTEM OF DROUGHT IMPACT ON RICE PRODUCTION BASED ON REMOTE SENSING

Long droughts experienced in the past are identified as one of the main factors in the failure of rice production. In this regard, special attention to monitor the condition is encouraged to reduce the damage. Currently, various satellite data and approaches can withdraw valuable information for monitoring and anticipating drought hazards. MODIS, MTSAT, AMSR-E, TRMM and GSMaP have been used in this activity. Meteorological drought index (SPI) of the daily and monthly rainfall data from TRMM and GSMaP have analyzed for last 10-year period. While, agronomic drought index has been studied by observing the character of some indices (EVI, VCI, VHI, LST, and NDVI) of sixteen- day and monthly MODIS, MTSAT, and AMSR-E data at a period of 4 years. Network for satellite data transfer has been built between LAPAN (data provider), ICALRD (implementer), IAARD Cloud Computing, University of Tokyo (technical supporter), and NASA. Two information system have been developed: 1) agricultural drought using the model developed by LAPAN, and 2) meteorological drought developed by Takeuchi (University of Tokyo). The accuracy study using quantitative method for LAPAN model uses VHI is 60% (Kappa 0,44), while that of for University of Tokyo model uses qualitative model with KBDI value 500-600 shows an early indication of drought for paddy field. This will help the government or field officers in rapid management actions for the indicated drought area.This paper describes the implementation and dissemination of drought impact monitoring model on the area of rice production center using an integrated information system satellite based model. The two developed information systems are effective for spatially dissemination of drought information.
Intelligent Agents for Distributed Intrusion Detection System

—This paper presents a distributed intrusion detection system IDS, based on the concept of specialized distributed agents community representing agents with the same purpose for detecting distributed attacks. The semantic of intrusion events occurring in a predetermined network has been defined. The correlation rules referring the process which our proposed IDS combines the captured events that is distributed both spatially and temporally. And then the proposed IDS tries to extract significant and broad patterns for set of well-known attacks. The primary goal of our work is to provide intrusion detection and real-time prevention capability against insider attacks in distributed and fully automated environments.
On the Internet Pedagogical Affordances of Syndication, Aggregation, and Mash-up of Content on the Web

As Internet and online learning become more and more incorporated into our courses, syllabi, and teaching materials, it becomes increasingly important that the impact the Web is having on changing perceptions of literacy carries over to the way we practice teaching and learning. Here we will focus on which collaborative online tools can most appropriately be applied in online and blended courses to foster reading and writing. Specifically, we will discuss some of the freely available social networking platforms and tools, their common features, and how these can help language learners find, aggregate and harvest learning objects while connecting to other people on the Web at large. We will also introduce two web publishing projects, Dekita.org and Writingmatrix, and explain how they function to facilitate this process and encourage connections.
arraysensors LAN Lighting Systems Speaker Array ProjectorsHigh-Res Displays Actuators Jitter matrix OSC OSC OSCOSC / Jitter matrixOSC / Jitter matrix OSC Sound Synthesis Engine Audio Feature ExtractionMotion Tracking Sound Processing Spatialization State Engine Feature Extraction Gesture

This paper describes Ozone, a new media choreography system based on layered, continuous physical models, designed for building a diverse range of interactive spaces that coordinate arbitrary streams of video and audio synthesized in realtime response to continuous, concurrent activity by people in a live event. We aim to build rich responsive spaces that sustain the free improvisation of collectively or individually meaningful, non-linguistic gesture. Ozone provides an expressive way to compose the potential "landscape" of an event evolving according to the designer’s intent as well as contingent activity. A potential-energy engine evolves superposed states over simplicial complexes modeling the topological space of metaphorical states.
Exploring the Integration of Memory Management and Trusted Computing

This thesis addresses vulnerabilities in current Trusted Computing architecture by exploring a design for a better Trusted Platform Module (TPM); one that integrates more closely with the CPU’s Memory Management Unit (MMU). We establish that software-based attacks on trusted memory can be carried out undetectably by an adversary on current TCG/TPM implementations. We demonstrate that an attacker with sufficient privileges can compromise the integrity of a TPM-protected system by modifying critical loaded code and static data after measurement has taken place. More specifically, these attacks illustrate the Time Of Check vs. Time of Use (TOCTOU) class of attacks. We propose to enhance the MMU, enabling it to detect when memory containing trusted code or data is being maliciously modified at run-time. On detection, it should be able to notify the TPM of these modifications. We seek to use the concepts of selective memory immutability as a security tool to harden the MMU, which will result in a more robust TCG/TPM implementation. To substantiate our ideas for this proposed hardware feature, we designed and implemented a software prototype system, which employs the monitoring capabilities of the Xen virtual machine monitor. We performed a security evaluation of our prototype and validated that it can detect all our software-based TOCTOU attacks. We applied our prototype to verify the integrity of data associated with an application, as well as suggested and implemented ways to prevent unauthorized use of data by associating it with its owner process. Our performance evaluation reveals minimal overhead.
SIDEWAYS-2022 @ HT-2022: 7th International Workshop on Social Media World Sensors

This seventh edition of the workshop aims at bringing together academics and practitioners from different areas to promote the vision of social media as social sensors. Nowadays, Social media platforms represent freely-accessible information networks allowing registered (and unregistered) users to read, share and broadcast messages referring to a potentially-unlimited range of arguments, by also exploiting the immediateness of handy smart devices. This long-running workshop aims at focusing the attention on a particular perspective of these powerful communication channels, which is that of social sensors, where each user reacts in real time to the underlying reality by providing some own interpretation. Technologies and AI artifacts may support automatic or semi-automatic applications for information detection and integration, offering sideways to the existing authoritative information media and the information reported by the surrounding community.
Improving Phonetic Alignment by Handling Secondary Sequence Structures

In traditional alignment analyses, sequences are only compared with regard to their primary structure. Here, the term primary structure refers to the order order of segments, whereby segments are understood as the smallest units of a sequence which directly correspond to the characters of the alphabet from which the sequence is drawn. Apart from the primary structure, sequences can, however, also have a secondary structure. Apart from segmentizing sequences into their primary units, one can further segmentize them into larger units of subsequences consisting of one or more primary segments. A secondary segmentation which is very common in linguistics is, e.g., the segmentation of words into syllables apart from the primary segmentation of words into phonemes. The traditional alignment modes such as global, local, or semiglobal alignment (cf. the overview in Durbin et al. 2002) align sequences only with respect to their primary structure. Thus, given the sequence "THE CATFISH HUNTS" and "THE CAT FISHES", they all yield an alignment in which the subsequence "CATFISH" of the first sequence is matched with the subsequence "CAT FISH" of the second sequence (see Table 1). In contrast to these primary alignments, a secondary alignment displays the similarities of sequences with regard to both their primary and their secondary structure, aligning letters which belong to the same word in one sequence only with those letters in the other sequence which also belong to a single word (see Table 1).
Modified Evolutionary Autonomous Agents Approach to Image Feature Extraction

In this paper, we present a modified evolutionary autonomous agents method for extracting features from a grey scale image. Features can be extracted on the basis of differences in intensity values of the target pixel with the neighboring pixels. We use agents to identify such change in the intensity values with the neighborhood. Agents are single unit entity with the power of computation and behaviors. The agent possess behaviors such as Self-reproduction, Diffusion and Death. Self-reproduction occurs when the parent agent detects the feature lying beneath it. Self-reproduction results in generation of other agents. Diffusion to another pixel occurs in case the former condition is not met until the agent attains certain age and it finally Dies. Self-reproduction and diffusion occurs in the direction governed by the previous state of the agent. Agents are independent entities hence the power of parallelizability can be really advantageous.
Digital Enterprise Research Institute , National University of Ireland , Galway , Ireland { Jianqiang

Innovation within industrial environment can be viewed as a cyclic loop consisting of four distinct phases, i.e., recognition, initiation, implementation, and stabilization. Different information technology enabled innovation management tools supporting the lifecycle of innovation are classified as five layers, i.e., individual innovation, project innovation, collaborative innovation, distributed innovation, and semantic innovation. According the fact that the current state is evolving from distributed innovation to semantic innovation, this paper focus on the realization of Semantic Web technologies enabled semantic innovation. To explicitly and formally specify all the different perspectives of innovation related information, a shared ontology is proposed as the common language of innovation management, which describes the critical and minimal information about the innovation process in a holistic way. Then, a technical framework which employs the machine readable innovation ontology to actually improve innovation management inside an organization and among loosely coupled organizations is presented. Finally, some features of the semantic innovation are discussed.
Intercultural Pragmatics

Pragmatic meanings are not only conveyed through words alone, but also through how words are produced phonetically. The current study investigated phonetic features that characterize the distinction between deferential and non-deferential speech style in Japanese. The Japanese data were then compared to previously published Korean data collected through the same methodology. The results revealed striking similarities between the two languages: Deferential voice is quieter and breathier, and has less fluctuation of pitch and loudness. The common strategy appears to sound calm and soft. Whereas Korean deferential speech was additionally low-pitched, Japanese did not show a consistent relationship between deferential meanings and pitch. The results diverge from the long-held view that Japanese polite speech is highpitched, and they also deviate from the view that polite speech is universally associated with high pitch. The current findings demonstrate the importance of considering politeness as a complex phenomenon communicated via a number of phonetic cues, rather than a single cue (e. g. pitch). On top of a production study, we performed a perception study which showed that Japanese politeness, just as was shown for Korean politeness previously, can be perceived through vocal cues alone. The results also showed that Japanese female speakers do not necessarily do more to sound polite compared to male speakers, also contrary to previous claims.