Miracle-dz/UniFAR-FTUs huggingface dataset:
Streams of events and performance of queuing systems: The basic anatomy of arrival/departure processes, when focus is set on autocorrelation

Judging from the vast number of articles in the field of queuing simulation, that assumes i.i. d. in one or more of the stochastic processes used to model the situation at hand, often without much validation, it seems that sequence independence must be a very basic property of many real life situation or at least a very sound approximation. However, on the other hand, most actual decision making is based upon information taken from the past - where else! In fact the only real alternative that comes into my mind is to let a pair of dices fully and completely rule behaviour, but I wonder if such a decision setup is that widespread in consequent use anywhere. So, how come that sequence independence is so relatively popular in describing real system processes? I can only think of three possible explanations to this dilemma - (1) either sequence dependence is present, but is mostly not of a very significant nature or (2) aggregate system behaviour is in general very different from just the summing-up (even for finite sets of micro-behavioural patterns) and/or (3) it is simply a wrong assumption that in many cases is chosen by mere convention or plain convenience. It is evident that before choosing some arrival processes for some simulation study a thorough preliminary analysis has to be undertaken in order to uncover the basic time series nature of the interacting processes. Flexible methods for generating streams of autocorrelated variates of any desired distributional type, such as the ARTA method or some autocorrelation extended descriptive sampling method, can then easily be applied. The results from the Livny, Melamed and Tsiolis (1993) study as well as the results from this work both indicates that system performance measures as for instance average waiting time or average time in system are significantly influenced by the taken i.i. d. versus the autocorrelations assumptions. Plus/minus 35% in performance, but most likely a worsening, is easily observed, when comparing even moderate (probably more realistic) autocorrelation assumptions with the traditionally and commonly used i.i. d. assumptions.
A Survey of Intrusion Detection System for Web Application

Web applications provide massively large facilities to the users. As the usability and popularity of the web applications have increased so as various types of attacks over it. In this paper we discuss various attacks like SQL injection attacks, Cross Site Scripting attacks, Privilege Escalation attack etc. and some of the methodologies to overcome it. Attacks are possible in on any web applications due to various reasons like ambiguous coding methods, design level flaws, web application configuration errors, validation error in user input etc. Different approaches have been implemented based on signatures of these attacks. Even though various intrusion detection systems are present, attacks continues to prevail.
Reconhecimento de movimentos humanos para imitação e controle de um robô humanoide

In human-robot interactions there are still many restrictions to overcome regarding the provision of a communication as natural to the human senses. The ability to interact with humans in a natural way in social contexts (the use of speech, gestures, facial expressions, body movements) is a key point to ensure the acceptance of robots in a society of people not specialized in manipulation of robotic devices. Moreover, most existing robots have limited abilities of perception, cognition and behavior in comparison with humans. In this context, this research project investigated the potential of the robotic architecture of the NAO humanoid robot, in terms of ability to perform interactions with humans through imitation of body movements of a person and the robot control. As for sensors, we used a non-intrusive sensor depth-camera built into the device Kinect. As to techniques, some mathematical concepts were discussed for abstraction of the spatial configurations of some joints/members of the human body – these configurations were captured through the use of the OpenNI library. The performed experiments were about imitation and the control of the robot through the evaluation of various users. The results of these experiments showed a satisfactory performance for the developed system.
Extending the Java language for the prevention of data races

This thesis presents a language extension for Java that ensures that type-checked programs will be free of race conditions. By adding parameterization to class types, this mostly static type-system allows programmers to write generic object code independent of the concurrency protection mechanism to be used to guard it. This added flexibility makes this extension more expressive and easier to use than other similar type systems. We will present the formal type system as well as our experience with implementing a compiler for this extension. Thesis Supervisor: Martin Rinard Title: Associate Professor
Factors Influencing the Performance Advantage of Speech Technology

This report addresses two factors that potentially influence the use of auditory displays and speech responses in a time-sharing environment. (1) S-C-R compatibility is proposed as a condition of enhanced performance when a verbal task employs the auditory/speech (A/S) modes and a spatial task employs the visual/manual (V/M) modes of input and output. (2) Task interference is enhanced to the extent that tasks performed concurrently compete for common input and output modes. An experiment is described in which a tracking task (V/M) is time-shared with a Sternberg Memory Search Task employing all four i/o combinations. As predicted by factor (2), dual task interference increased as a function of shared modalities between tasks. An asymmetry of interference effects was observed such that tracking was most disrupted by common output channels while RT was disrupted by common input modes.
Online Teaching and Learning: When Technology meets Language and Culture

Technology and high accessibility to networking media in both private and professional contexts have made online teaching and learning a norm and reality for tertiary education across the world. Online teaching and learning do not only apply to distance education and Massive Online Open Courses (MOOCs), but they also apply effectively to on-campus education as an integral component of blended teaching and learning. Current instructors and students communicate in a wide range of “contact” situations from face-to-face classroom interaction, seminar or tutorial activities, individual or group consultations, to various forms of online communication. In this paper, I shall focus on online teaching and learning of language and culture courses using commonly adopted management systems, e.g., Blackboard and Moodle in two educational contexts including Hong Kong and Melbourne. Research questions include 1) what do instructors and students actually do in online synchronous discussion forums? 2) what language and cultural issues are involved in the discussion forums? and 3) what are the pedagogical implications of using technology for teaching and learning language and culture? Empirical online discussion forums data from four courses are collected and analyzed. Research findings show that both explicit learning and implicit learning take place actively in the online discussion forums; and that various language and culture issues emerge and are competently dealt with in online learning environment. Towards the end of the paper, I shall also explore the pedagogical implications of using technology for teaching language and culture courses in the online learning forum (OLF) environment.
Bridging Theory and Practice: Developing Guidelines to Facilitate the Design of Computer-based Learning Environments

Abstract. The design of computer-based learning environments has undergone a paradigm shift; moving students away from instruction that was considered to promote technical rationality grounded in objectivism, to the application of computers to create cognitive tools utilized in constructivist environments. The goal of the resulting computer-based learning environment design principles is to have students learn with technology, rather than from technology. This paper reviews the general constructivist theory that has guided the development of these environments, and offers suggestions for the adaptation of modest, generic guidelines, not mandated principles, that can be flexibly applied and allow for the expression of true constructivist ideals in online learning environments.
CO-REGISTRATION OF PHOTOGRAMMETRIC AND LIDAR DATA: METHODOLOGY AND CASE STUDY

Registration activities combine data from different sources in order to attain higher accuracy and derive more information than available from one source. The increasing availability of a wide variety of sensors capable of capturing high quality and complementary data requires parallel efforts for developing accurate and robust registration techniques. Currently, photogrammetric and LIDAR systems are being incorporated in a wide spectrum of mapping applications such as city modeling, surface reconstruction, and object recognition. Photogrammetric processing of overlapping imagery provides accurate information regarding object space break-lines in addition to an explicit semantic description of the photographed objects. On the other hand, LIDAR systems supply dense geometric surface information in the form of non-selective points. Considering the properties of photogrammetric and LIDAR data, it is clear that the two technologies provide complementary information. However, the synergic characteristics of both systems can be fully utilized only after successful registration of the photogrammetric and LIDAR data relative to a common reference frame. The registration methodology has to deal with three issues: registration primitives, transformation function, and similarity measure. This paper presents two methodologies for utilizing straight-line features derived from both datasets as the registration primitives. The first methodology directly incorporates the LIDAR lines as control information in the photogrammetric triangulation. The second methodology starts by generating a photogrammetric model relative to an arbitrary datum. Then, LIDAR features are used as control information for the absolute orientation of the photogrammetric model. In addition to the registration methodologies, the paper presents a comparative analysis between two approaches for extracting linear features from raw and processed/interpolated LIDAR data. Also, a comparative analysis between metric analog and amateur digital cameras within the registration process will be presented. The performance analysis is based on the quality of fit of the final alignment between the LIDAR and photogrammetric models.
Computer Security Technology Planning Study. Volume 2

Abstract : Details of a planning study for USAF computer security requirements are presented. A development program to obtain a open-use multi-level secure computing capability is described. Plans are also presented for the related developments of communications security products and the interim solution to present secure computing problems. Finally a research plan complementary the recommended development plan is also included.
Teknik budi daya larva Hermetia illucens (Linnaeus) (Diptera: Stratiomyidae) sebagai sumber protein pakan ternak melalui biokonversi limbah loading ramp dari pabrik CPO

Larva lalat Hermetia illucens (Linnaeus) (Diptera: Stratiomyidae) merupakan salah satu sumber protein alternatif untuk membuat pelet pakan ternak. Saat ini, produksi larva lalat H. illucens masih terbatas karena media budi daya bergantung pada limbah palm kernel meal (PKM). Penelitian ini bertujuan melakukan rekayasa media berbasis limbah loading ramp pabrik minyak kelapa sawit (CPO) sebagai media alternatif untuk budi daya larva H. illucens . Penelitian dilakukan dengan melakukan analisis fisik dan pada kimia media uji. Evaluasi potensi media dilakukan dengan melihat daya dukung hidup limbah loading ramp yang difermentasi menggunakan EM4®, mikroba rumen dan pupuk organik cair (POC) serta tanpa fermentasi. Perlakuan pengayaan media loading ramp dengan dedak dan sekam pada rasio 1 : 0,25 (v/v); 1 : 0,5 (v/v) dan 1 : 1 (v/v) serta penambahan gula kelapa berbentuk padat 1,25%; 2,5%, dan 5% (b/b). Percobaan disusun dalam Rancangan Acak Kelompok (RAK) melibatkan 20 ekor larva instar ke-2. Larva diinkubasi dalam tabung plastik berdiameter 10 cm dan tinggi 20 cm yang mengandung 300 g media. Respon perbedaan pertumbuhan dan mortalitas dianalisis dengan ANOVA dan uji lanjut least significant differences (LSD) pada taraf 0,05. Analisis ketertarikan dan kesesuaian media dilakukan dengan pengaturan komposisi bahan pengayaan. Hasil penelitian menunjukkan bahwa limbah loading ramp terdiri dari kelopak buah sawit 56%, buah sawit 12%, pasir 20,1%, bebatuan 0,5%, dan lainnya 4,4%. Nutrisi limbah loading ramp mengandung protein 9,8% dan lemak 10,32%. Masing-masing komposisi media loading ramp tanpa pengayaan dan dengan pengayaan mampu mendukung tumbuh kembang larva meskipun dengan tingkat beragam. Media dari limbah loading ramp fermentasi POC dengan pengayaan dedak 1 : 0,5 (v/v) merupakan media budi daya paling potensial.
Pembuatan Aplikasi Bergerak Temu Ulang File Elektronik Berbahasa Indonesia dengan Memanfaatkan Java CLDC

Smart Download is a mobile application that dedicated to search electronic documents in Indonesian (Bahasa Indonesia) throguh the Web. This application use the Advanced URL Google (spyder) to retrieve the documents from the Internet, that further will be enchanced with Porter Stemmer and the combination of TF/IDF and vector space algorithm. The documents that need to be downloaded can be breakdown in partial parts. The implementation of the application used J2ME CLDC. The application is evaluated in a classroom situation, the result shows that search is improved after the enhancement process. Keywords: Smart Download, Spyder Google, Porter Stemmer, Vector Space Algorithm.
Wafer-Level Three-Dimensional Monolithic Integration for Intelligent Wireless Terminals

A three-dimensional (3D) IC technology platform is presented for high-performance. low-cost heterogeneous integration of silicon ICs. The platform uses dielectric adhesive bonding of fully-processed wafer-to-safer aligned ICs, followed by a three-step thinning process and copper damascene patterning to form inter-wafer interconnects. Daisy-chain inter-nafer via test structure, and compatibility of the proce. teps "ith 130 nm CMOS SOl devices and circuits indicate the viability of the process flow. Such 3D integration with through-die vias enables high functionality in intelligent wfireless terminalss as vertical integration of processor, large memors, image sensors and RF/microwawe transceiwers can be achieved with silicon-based ICs (Si CMOS and/or SiCe BiCMOS). Two esamples of such capability are highlighted memory-intenshe Si CCYIOS digital processors with large L2 caches and SiGe BiCMS pipelined A/D converters. A comparison of wafer-level 3D integration with system-on-a-chip (SoC) and system-in-a-package (SiP) implementations is presented. Index Terms-3D Integration, wafer bonding, intelligent wireless terminal, memory-intensive digital processors, pipelined A/D converters
Sensitivity of bandwidth allocation algorithms for unidirectional networks to voice parameters

A comparative performance evaluation of a dynamic bandwidth allocation algorithm is made using different voice traffic models. It is shown that the voice clipping rate performance is very sensitive to characteristics of the speech arrival process and higher than previously reported. Simulation results indicate that the average clipping rate increases almost linearly with the talkspurt rate but is essentially independent of the coefficient of variation of the silence period. The hyperexponential and the exponential speech models give the same average clipping rate if their parameters are adjusted to produce the same talkspurt rates. These results suggest that, since the average clipping rate is sensitive to the average talkspurt rate of the speech model, this parameter must match accurately the desired speech input signal. On the other hand, the coefficient of variation of the silence period need not be matched to the desired speech signal with as much accuracy. <<ETX>>
Real-time large object category recognition using robust RGB-D segmentation features

This thesis looks at the problem of large object category recognition for use in robotic systems. While many algorithms exist for object recognition, category recognition remains a challenge within robotics, particularly with the robustness and real-time constraints within robotics. Our system addresses category recognition by treating it as a segmentation problem and using the resulting segments to learn and detect large objects based on their 3D characteristics. The first part of this thesis examines how to efficiently do unsupervised segmentation of an RGB-D image in a way that is consistent across wide viewpoint and scale variance, and creating features from the resulting segments. The second part of this thesis explores how to do robust data association to keep temporally consistent segments between frames. Our higher-level module filters and matches relevant segments to a learned database of categories and outputs a pixel-accurate, labeled object mask. Our system has a run time that is nearly linear with the number of RGB-D samples and we evaluate it in a real-time robotic application. Thesis Supervisor: Seth Teller Title: Professor of Electrical Engineer and Computer Science
A Study Of Kl24: Zombie’s Attention

This research discusses how the independent Malaysian film KL24: Zombie uses the attention economy with a minimum budget to promote their film on internet. Attention has a value of real currency in business and individuals. It relates to the use of social media. Films promotion no longer needed to wait after their creation. For Malaysian films industry, attention is very crucial and it literally means to have the audience watch the film. A in depth interview with James Lee – independent film director in Malaysia been conducted in this research paper. The director only spent around RM500 on buying Facebook ads. The social media platform-YouTube allows him to keep track how long he manage to keep the audiences’ attention. Viral marketing is a strategy based on social media networks to increase awareness about a brand, product, or an event before the item it launchedbasically word of mouth marketing, but through social media. Malaysian film makers should start opting on imitating the similar process of marketing and start promoting their movie earlier. Although they might not have enough budgets to produce a movie at that moment, making the public aware of their upcoming movie would grab the attention of not only the potential audience but also potential investors that would want to invest their money to the movie. © 2018 Published by Future Academy www.FutureAcademy. org.UK
Hermes: um arcabouço para a programação de aplicações P2P

In the early stages of the development of a distributed application, information on its final size or utilization profile is often unknown. At an early point, deciding which overlay network implementation suits the application needs can be a complex task. Hermes provides a simple, yet powerful, environment for the development of P2P applications. It gives the application developer the possibility of choosing the overlay network implementation and replacing such implementation at any point, from development to production, without changes on the application code. Resumo. Geralmente, no inı́cio do desenvolvimento de uma aplicação distribuı́da, tem-se poucas informações sobre o seu tamanho final ou perfil de utilização. A escolha de uma implementação de rede de sobreposição adequada às necessidades da aplicação nessa fase do desenvolvimento pode ser uma tarefa complexa. O Hermes oferece um ambiente simples, porém poderoso, para a criação de aplicações P2P. Ele possibilita a escolha e a troca da implementação de rede de sobreposição em qualquer uma das fases do ciclo de vida da aplicação, desde o desenvolvimento até a produção, sem alterações no código.
Measurements and analysis of UWB channels in industrial environments

Communication in industrial environments is an important scenario for ultra wideband (UWB) systems. The characteristics of this environment differ considerably from office environments, where most of the channel measurements reported in the literature are performed. In this paper, we present the results and analysis of UWB channel measurements in an industrial environment. We investigate both peer-to-peer non-line-of-sight (P-P NLOS) and base station NLOS (BS NLOS) scenarios. The measurements are performed in the frequency range 3.1 to 8 GHz, at distances 2-16 m, using a vector network analyzer in conjunction with virtual antenna arrays. From these measurements, we extract channel model parameters such as power delay profiles, pathloss exponents, rms delay spread and the percentage of energy captured by RAKE receivers with a finite number of fingers. In addition, Saleh- Valenzuela parameters such as ray and cluster power decay constants and distribution of cluster interarrival times are extracted. (Less)
A novel 'elephant's trunk' robot

We introduce and describe a hyperredundant robot manipulator. The manipulator features a segmented 'backbone' with a total of 32 degrees of freedom. Actuation is provided via a series of tendons routed through the structure. In function, the manipulator has capabilities similar to that of the trunk of an elephant, with the ability to bend into numerous shapes, and conform easily to the environment. We describe the design of the manipulator, and discuss its kinematics, novel capabilities, and potential for grasping and manipulation.
Programming with Sets: An Introduction to SETL

The programming language SETL is a relatively new member of the so-called "very-high-level" class of languages, some of whose other well-known mem bers are LISP, APL, SNOBOL, and PROLOG. These languages all aim to reduce the cost of programming, recognized today as a main obstacle to future progress in the computer field, by allowing direct manipulation of large composite objects, considerably more complex than the integers, strings, etc., available in such well-known mainstream languages as PASCAL, PL/I, ALGOL, and Ada. For this purpose, LISP introduces structured lists as data objects, APL introduces vectors and matrices, and SETL introduces the objects characteristic for it, namely general finite sets and maps. The direct availability of these abstract, composite objects, and of powerful mathematical operations upon them, improves programmer speed and pro ductivity significantly, and also enhances program clarity and readability. The classroom consequence is that students, freed of some of the burden of petty programming detail, can advance their knowledge of significant algorithms and of broader strategic issues in program development more rapidly than with more conventional programming languages. "