ppxscal/embedding_network huggingface dataset:
High-grade efficiency III-nitrides semiconductor solar cell
Authors: Macho Anani, Christian Mathieu, Mohammed Khadraoui, Zouaoui Chama, Sara Lebid, Youcef Amar
Venue: Microelectronics Journal (2009)

Solar energy constitutes a widely available and further free energy. Several techniques have been used to permit a convenient exploitation of this clean energy, consisting in trying to extract the maximal amount of energy from simple devices. Therefore, these techniques suffer from reduced efficiency ratio, and they are neither well exploited nor developed. In this work, III-Nitrides semiconductors have been used instead of classical silicon. They possess the faculty to work in the maximum of the solar emission spectrum, hence offering a maximal efficiency, and also, due to their high energy gap, the surface reflection materialized by the reflectance is optimally reduced, always comparing with actual silicon-made devices. The computational methods used have shown that the theoretical efficiency obtained, in our paper, is near about 35%, depending greatly on the semiconductor purity.
Improving personal privacy in social systems with people-tagging
Authors: Maryam Najafian Razavi, Lee Iverson
Venue: Proceedings of the ACM 2009 international conference on Supporting group work (2009)

The recent emergence of social systems has transformed the Web from an information pool to a platform for communication and social interaction. As such, the issue of managing privacy of various types of user-created content in these open environments has become more of a concern. Existing social systems often define privacy either as a private/public dichotomy or in terms of a "network of friends relationship, in which all friends" are created equal and all relationships are reciprocal. We explore instead the idea of tagging people to create ego-centric groups of dynamic, non-reciprocal relationships to improve privacy management in this domain. In this paper, we introduce the principles and motivations behind people-tagging, discuss constraints that make people-tagging safe, trustable, and spam-free, describe a research implementation we have created to experiment with the concept, and provide the results of a preliminary empirical evaluation which shows the strength of the idea and indicates areas for future enhancements.
XFindBugs: eXtended FindBugs for AspectJ
Authors: Haihao Shen, Sai Zhang, Jianjun Zhao, Jianhong Fang, Shiyuan Yao
Venue: Proceedings of the 8th ACM SIGPLAN-SIGSOFT workshop on Program analysis for software tools and engineering (2008)

Aspect-oriented software development (AOSD) is gaining popularity with the wider adoption of languages such as AspectJ. However, though the state-of-the-art aspect-oriented programming environment (such as AJDT in the Eclipse IDE) provides powerful capabilities to check the syntactic or grammar errors in AspectJ programs, it fails to detect potential semantic defects in aspect-oriented software systems. In this paper, we present XFindBugs, an eXtended FindBugs for AspectJ, to help programmers find potential bugs in AspectJ applications through static analysis. XFindBugs supports 17 bug patterns to cover common error-prone features in an aspect-oriented system, and integrates the corresponding bug detectors into the FindBugs framework. We evaluate XFindBugs on a number of large-scale open source AspectJ projects (306,800 LOC in total). In our evaluation, XFindBugs confirms 7 reported bugs and finds 257 previously unknown defects. Our experiment also indicates that the bug patterns supported in XFindBugs exist in real-world software systems, even for mature applications by experienced programmers.
Ideas By Statistical Mechanics (ISM)
Authors: Lester Ingber
Venue: Journal of Integrated Design Process Science (2007)

Ideas by Statistical Mechanics (ISM) is a generic program to model evolution and propagation of ideas/patterns throughout populations subjected to endogenous and exogenous interactions. The program is based on the author's work in Statistical Mechanics of Neocortical Interactions (SMNI), and uses the author's Adaptive Simulated Annealing (ASA) code for optimizations of training sets, as well as for importance-sampling to apply the author's copula financial riskmanagement codes, Trading in Risk Dimensions (TRD), for assessments of risk and uncertainty. This product can be used for decision support for projects ranging from diplomatic, information, military, and economic (DIME) factors of propagation/evolution of ideas, to commercial sales, trading indicators across sectors of financial markets, advertising and political campaigns, etc. It seems appropriate to base an approach for propagation of ideas on the only system so far demonstrated to develop and nurture ideas, i.e., the neocortical brain. A statistical mechanical model of neocortical interactions, developed by the author and tested successfully in describing short-term memory and EEG indicators, is the proposed model. ISM develops subsets of macrocolumnar activity of multivariate stochastic descriptions of defined populations, with macrocolumns defined by their local parameters within specific regions and with parameterized endogenous inter-regional and exogenous external connectivities. Parameters of subsets of macrocolumns will be fit using ASA to patterns representing ideas. Parameters of external and inter-regional interactions will be determined that promote or inhibit the spread of these ideas. Tools of financial risk management, developed by the author to process correlated multivariate systems with differing non-Gaussian distributions using modern copula analysis, importancesampled using ASA, will enable bona fide correlations and uncertainties of success and failure to be calculated. Marginal distributions will be evolved to determine their expected duration and stability using algorithms developed by the author, i.e., PATHTREE and PATHINT codes.
Trust Management Model and Evaluation Method for Online Travel
Authors: Wen-Jing Cui, Hai-Yang Wang, Qi Sui, Li-Zhen Cui
Venue: Computer Supported Cooperative Work in Design IV: 11th International Conference, CSCWD 2007, Melbourne, Australia, April 26-28, 2007. Revised Selected Papers (2008)

Online travel has its own characteristics which is different from traditional travel on interaction. During the process of online travel, travelers and travel service providers do not meet face to face, which raises a trusting problem between parties. This paper demonstrates an adaptable three-layer trust system model for online travel. It includes Data Collect layer, Filter Rule layer, and Evaluation layer. In the proposed model, the lower layer provides inputs to the upper layer, and the upper layer can provide feedback to the lower layer. On the other hand, every layer is self-governed, and modification of one layer would not affect other layers. As well, a trust evaluation method located in the evaluation layer for IPVita, our online travel platform, is also described and experimented in the paper. The proposed method considers three aspects: timeliness of trust, united discount among service providers and subjective trust. As proved in the paper, it is more safe and efficient for online travel platform. In the end, the simulation illustrates that the proposed method can lighten the phenomenon of service hotspot effectively.
Modeling and Simulation of Urban Trunk Road Traffic Signal Coordinated Control Based on Immune Algorithm
Authors: Pei Luo, Qian Ma, Hui-xian Huang
Venue: Proceedings of the 2009 International Conference on Advanced Computer Control (2009)

In order to reduce traffic delay, a novel urban trunk road traffic signal coordinated control method using a multi-Population immune algorithm was presented. Considering the traffic delay of the uplink vehicles and the down vehicles at different times on the trunk road, the objection function for total delay is set up, and the objection function optimization based on multi-Population immune algorithm is implemented through adjusting the phase difference at intersections. Finally, compared with the genetic algorithms and the method of fixed phase difference, the simulation results of this novel control method have verified the obvious advantage.
Scaling of program functionality
Authors: W. B. Langdon
Venue: Genetic Programming and Evolvable Machines (2009)

The distribution of fitness values (landscapes) of programs tends to a limit as the programs get bigger. We use Markov chain convergence theorems to give general upper bounds on the length of programs needed for convergence. How big programs need to be to approach the limit depends on the type of the computer they run on. We give bounds (exponential in N, N log N and smaller) for five computer models: any, average or amorphous or random, cyclic, bit flip and four functions (AND, NAND, OR and NOR). Programs can be treated as lookup tables which map between their inputs and their outputs. Using this we prove similar convergence results for the distribution of functions implemented by linear computer programs. We show most functions are constants and the remainder are mostly parsimonious. The effect of ad-hoc rules on genetic programming (GP) are described and new heuristics are proposed. We give bounds on how long programs need to be before the distribution of their functionality is close to its limiting distribution, both in general and for average computers. The computational importance of destroying information is discussed with respect to reversible and quantum computers. Mutation randomizes a genetic algorithm population in $$\frac{1}{4}(l+1)(\hbox{log}\,(l)+4)$$ generations. Results for average computers and a model like genetic programming are confirmed experimentally.
A Multi-objective Genetic Algorithm for Optimization of Cellular Manufacturing System
Authors: H. Kor, H. Iranmanesh, H. Haleh, S. M. Hatefi
Venue: Proceedings of the 2009 International Conference on Computer Engineering and Technology - Volume 01 (2009)

Cellular manufacturing (CM) is an important application of group technology (GT) in which families of parts is produced in manufacturing cells or in a group of various machines. In this paper, a genetic algorithm approach is proposed for solving multi-objective cell formation problem. The objectives are the minimization of both total moves (intercell as well as intracell moves) and the cell load Variation. In this paper, authors used a SPEA-II method as well known and efficient standard evolutionary multi-objective optimization technique. This hybrid method presents the large set of non-dominance solutions for decision makers to making best solution. The efficiency of multi-objective GA-SPEA II is illustrated on a large-sized test problem taken from the literature.
Innovative Techniques in Instruction Technology, E-learning, E-assessment and Education, 1 edition
Authors: Magued Iskander
Venue:  (2008)

Innovative Techniques in Instruction Technology, E-Learning, E-Assessment and Education is a collection of world-class paper articles addressing the following topics: (1) E-Learning including development of courses and systems for technical and liberal studies programs; online laboratories; intelligent testing using fuzzy logic; evaluation of on line courses in comparison to traditional courses; mediation in virtual environments; and methods for speaker verification. (2) Instruction Technology including internet textbooks; pedagogy-oriented markup languages; graphic design possibilities; open source classroom management software; automatic email response systems; tablet-pcs; personalization using web mining technology; intelligent digital chalkboards; virtual room concepts for cooperative scientific work; and network technologies, management, and architecture. (3) Science and Engineering Research Assessment Methods including assessment of K-12 and university level programs; adaptive assessments; auto assessments; assessment of virtual environments and e-learning. (4) Engineering and Technical Education including cap stone and case study course design; virtual laboratories; bioinformatics; robotics; metallurgy; building information modeling; statistical mechanics; thermodynamics; information technology; occupational stress and stress prevention; web enhanced courses; and promoting engineering careers. (5) Pedagogy including benchmarking; group-learning; active learning; teaching of multiple subjects together; ontology; and knowledge representation. (6) Issues in K-12 Education including 3D virtual learning environment for children; e-learning tools for children; game playing and systems thinking; and tools to learn how to write foreign languages.
Wireless communication for monitoring a telerobotic systems
Authors: Ionut Resceanu, Marius Niculescu, Cristina Pana
Venue: Proceedings of the 8th conference on Applied informatics and communications (2008)

This paper describes some technologies for developing a network of wireless devices for managing access and monitoring of a telerobotic system. We search and improve algorithms for a tolerable level of communications reliability in such applications. Some embeddable technologies like Wireless networks and Bluetooth offer great possibilities to the construction of mobile sensors and high level language control software opens up an area of practical experimentation in mobile distributed monitoring and control.
Electronically controlled multiphase sinusoidal oscillators using current amplifiers
Authors: George Souliotis, Costas Psychalinos
Venue: International Journal of Circuit Theory and Applications (2009)

A novel current-mode multiphase oscillator topology is introduced in this letter. This is realized by employing current amplifiers and only grounded capacitors. Attractive characteristics offered by the new topology are the electronic adjustment of the oscillation frequency, the absence of passive resistors, and the requirement of only grounded capacitors. Comparison with the corresponding already published current follower based structure shows that the proposed topology has better performance in terms of the number of required active elements, the employment of passive resistors, and the ability for electronic adjustment of the oscillation frequency. Copyright &copy; 2008 John Wiley & Sons, Ltd.
Evaluating product development systems using network analysis
Authors: Shawn T. Collins, Ali A. Yassine, Stephen P. Borgatti
Venue: Systems Engineering (2009)

This paper proposes the integration of two systems engineering analysis tools, the Design Structure Matrix (DSM) and Network Analysis (NA), to study task interactions in a Product Development Process (PDP). The DSM is a matrix-based systems engineering tool that analyzes task sequences to improve PDP execution. Using NA metrics to measure properties of information flow helps to identify important product development tasks and interactions that constrain PDP execution. Project managers can use these data to structure team integration mechanisms or to identify coordinating mechanisms for groups of concurrently scheduled PDP tasks. Functional managers and process architects can use these data to identify important or overloaded tasks. They can also evaluate whether tasks like stage gates and design reviews are acting as effective information flow regulators in the PDP. This new Systems Engineering approach provides a rigorous decision support tool for managers who must alter ideal task sequences due to specific schedule, budget, and expertise constraints encountered on their projects. &copy; 2008 Wiley Periodicals, Inc. Syst Eng
The Pre-FUFP algorithm for incremental mining
Authors: Chun-Wei Lin, Tzung-Pei Hong, Wen-Hsiang Lu
Venue: Expert Systems with Applications: An International Journal (2009)

The frequent pattern tree (FP-tree) is an efficient data structure for association-rule mining without generation of candidate itemsets. It was used to compress a database into a tree structure which stored only large items. It, however, needed to process all transactions in a batch way. In real-world applications, new transactions are usually incrementally inserted into databases. In the past, we proposed a Fast Updated FP-tree (FUFP-tree) structure to efficiently handle new transactions and to make the tree update process become easier. In this paper, we attempt to modify the FUFP-tree construction based on the concept of pre-large itemsets. Pre-large itemsets are defined by a lower support threshold and an upper support threshold. It does not need to rescan the original database until a number of new transactions have been inserted. The proposed approach can thus achieve a good execution time for tree construction especially when each time a small number of transactions are inserted. Experimental results also show that the proposed Pre-FUFP maintenance algorithm has a good performance for incrementally handling new transactions.
Complementary nano-electromechanical switches for ultra-low power embedded processors
Authors: Khawla Alzoubi, Daniel G. Saab, Massood Tabib-Azar
Venue: Proceedings of the 19th ACM Great Lakes symposium on VLSI (2009)

Idle power consumption is becoming an important parameter in portable embedded system design where excessive quiescent power dissipation can lead to excessive heat generation and reliability issues in nanometer-scale CMOS. To address some of these limitations, we have implemented a novel nano-electro-mechanical (NEM) switch with virtually zero leakage current, 1 Volt operation voltage, >1 GHZ fundamental resonant frequency, and nanometer-scale footprint. These NEM switches can be "dropped" in and hybridized with CMOS at the metallization or device levels to manage leakage current and power. Additionally, we introduce positive and negative channel switches in the form of complementary NEMS (CNEMS), similar to CMOS. CNEMS are compatible with CMOS in their functionality, structure and fabrication. Moreover, design methods, circuits, architectures and design automation techniques from CMOS can be readily used to realize CNEMS logic gates and processors. In this paper, we motivate the development of our NEM switch. We present NEMS characterizations, the construction of FET-like NEMs (CNEMS) switches and basic logic gates. We present simulation results showing CNEMS power dissipation improvement over nanometer-scale CMOS.
An EWMA chart for monitoring the process standard deviation when parameters are estimated
Authors: Petros E. Maravelakis, Philippe Castagliola
Venue: Computational Statistics Data Analysis (2009)

The EWMA chart for the standard deviation is a useful tool for monitoring the variability of a process quality characteristic. The performance of this chart is usually evaluated under the assumption of known parameters. However, in practice, process parameters are estimated from an in-control Phase I data set. A modified EWMA control chart is proposed for monitoring the standard deviation when the parameters are estimated. The Run Length properties of this chart are studied and its performance is evaluated by comparing it with the same chart but with process parameters assumed known.
An Improved Hybrid Multi-objective Particle Swarm Optimization Algorithm
Authors: Zuan Zhou, Guangming Dai, Pan Fang, Fangjie Chen, Yi Tan
Venue: Proceedings of the 3rd International Symposium on Advances in Computation and Intelligence (2008)

Particle Swarm Optimization is a promising evolutionary optimization algorithm. In this paper, an improved hybrid multi-objective particle swarm optimization algorithm (IHMOPSO) is proposed. IHMOPSO uses orthogonal design to initialize population, selects global optimal position from Pareto set. Apply mutation, cross operation and evolutionary selection, and uses two ways to update the position and velocity of particles. Experimental results on many well-known benchmark optimization problems have shown that IHMOPSO is effective and efficient.
PFetch: software prefetching exploiting temporal predictability of memory access streams
Authors: Jaydeep Marathe, Frank Mueller
Venue: Proceedings of the 9th workshop on MEmory performance: DEaling with Applications, systems and architecture (2008)

CPU speeds have increased faster than the rate of improvement in memory access latencies in the recent past. As a result, with programs that suffer excessive cache misses, the CPU will increasingly be stalled waiting for the memory system to provide the requested memory line. Prefetching is a latency hiding technique that tackles this problem. If the address of the memory line that misses in cache can be predicted sufficiently in advance, it can be prefetched into the cache before it is accessed, reducing the effective latency of that access. In this paper, we develop a novel software-only data prefetching scheme that works at the instruction level and exploits predictability in the access stream to prefetch memory lines accessed in the future. Working at the instruction level gives us a global view of memory access patterns across function, module and library boundaries. Conceptually, our scheme monitors the memory locations being accessed by loads and stores as well as their contents. It tries to find instances of predictability such that the address of a load miss can be pre-determined from a limited number of past accesses. We make the following contributions in this work. First, we present a novel prefetching strategy that unifies and generalizes a number of past approaches that each target a specific source of address predictability. Specifically, our scheme unifies all these past approaches: next-line prefetching, self-stride prefetching, "intraiteration" stride prefetching and same-object prefetching. In addition, it extends and generalizes the SPAID scheme for pointer and call-intensive programs. Second, we present a new threshold-based approach that addresses the issues of prefetch accuracy, prefetch timeliness and prefetch redundancy. Third, we assess our scheme both with a cache simulator and on a real machine where we evaluate it with hardware performance counters. Overall, we demonstrate that a significant reduction in L1 cache misses can be achieved for several benchmarks on a real machine with our approach.
A data damage tracking quarantine and recovery (DTQR) scheme for mission-critical database systems
Authors: Kun Bai, Peng Liu
Venue: Proceedings of the 12th International Conference on Extending Database Technology: Advances in Database Technology (2009)

Database security research aims to protect a database from unintended activities, such as authenticated misuse, malicious attacks. In recent years, surviving DBMS from an attack is becoming even more crucial because networks have become more open and the increasingly critical role that database servers are playing nowadays. Unlike the traditional database failure/attack recovery mechanisms, in this paper, we propose a light-weight dynamic Data Damage Tracking, Quarantine, and Recovery (DTQR) solution. We built the DTQR scheme into the kernel of PostgreSQL. We comprehensively study this approach from a few aspects (e.g., system overhead, impact of the intrusion detection system), and the experimental results demonstrated that our DTQR can sustain an excellent data service while healing the database server when it is under a malicious attack.