Miracle-dz/UniFAR-FTUs huggingface dataset:
ZLISP-a portable parallel LISP environment

This thesis concerns ZLISP, a portable parallel LISP environment for shared memory MIMD supercomputers. ZLISP was created as a vehicle for experimenting with parallel symbolic computing on a variety of supercomputer designs. It is a small but reasonably powerful subset of COMMON LISP that includes arrays, strings, structures, most of COMMON LISP's control flow functions, and a native code compiler, among other features. A low-level, flexible set of parallel primitives is provided that can support a wide spectrum of parallel programming styles. ZLISP currently runs on the NYU Ultracomputer prototype. A version that simulates parallelism runs on VAX and SUN minicomputers. I begin this thesis by discussing ZLISP's design and implementation. I attempt to justify the more difficult design decisions made during the development of ZLISP. I also give some details on how the more unusual parts of ZLISP are implemented. The full ZLISP reference manual is included as an appendix. I then turn to some parallel algorithms of independent interest that were discovered during the development of ZLISP. Many of these algorithms use the faa (fetch-and-add) operation, a versatile low-level synchronization primitive that has been promoted by the NYU Ultracomputer group and incorporated in several other supercomputer designs. I first describe some of the parallel algorithms used to implement ZLISP. These include an algorithm for parallel garbage collection and an algorithm for efficiently using hash tables in a parallel garbage collected environment. Finally, I cover some parallel algorithms provided for use by ZLISP programmers. I define the group lock, a new synchronization primitive useful in writing asynchronous parallel algorithms, and give some examples of its use in such applications as parallel stacks, heaps, and databases. I also present an assortment of space efficient parallel data structures such as queues, multiqueues, and stacks.
Cyclostationary Beacon for Assisting Spectrum Sensing in Opportunistic Spectrum Access

Cognitive radio is a promising solution to the problem of spectrum scarcity by means of allowing secondary radio networks access the spectrum opportunistically. One of the most important issues in cognitive radio is how to detect existing over-the-air signals reliably. Not a few literatures have reported that signals could be detected via their inherent or embedded properties. However, this approach may not be reliable and flexible enough for all kinds of signals with different modulation types. In this paper, we propose a type of multitone beacon signal carrying cyclostationary signatures, which is able to enhance the reliability and efficiency of signal detection at low cost of spectrum overhead. This beacon not only can indicate the presence or absence of user signal but also can reveal some other information helpful to opportunistic spectrum access through the information bits carried on its cyclostationary signatures. It could be applied to device/network identification, indication of spectrum allocation and spectrum rendezvous, both for primary and secondary users. Based on our previous work reported in [1], the generation and detection algorithm of the beacon signal are extended with improved spectral efficiency. Performance is discussed with both computer simulation and testbed validation.
Solar Photovoltaic Powered Sailing Boat Using Buck Converter

The main objective of this paper is to establish technical and economical aspects of the application of stand-alone photovoltaic (PV) system in sailing boat using a buck converter in order to enhance the power generation and also to minimize the cost. Performance and control of dc-dc converter, suitable for photovoltaic (PV) applications, is presented here. A buck converter is employed here which extracts complete power from the PV source and feeds into the dc load. The power, which is fed into the load, is sufficient to drive a boat . With the help of matlab simulink software PV module and buck model has been designed and simulated and also compared with theoretical predictions.
Exploring Organizational Information Sharing in Adopters and Non‐Adopters of Open Source Software: Evidence from Six Case Studies

Open source software is becoming increasingly popular in organizational environments. While prior research has explored the communal nature of open source software development among individual users, little research has explored whether these sharing concepts are also present in organizational use of open source software products. This study uses a theory integration approach to develop some initial insight into the differences between users and non-users of open source software. This study observed three groups of factors from six case studies of information sharing in the context of organizational open source software use. These factors were integrated with prior research in order to understand the physical and managerial barriers to, and enablers of, open source. The study proposes that open source users have more extensive knowledge sharing and teamwork practices in place, and are more tolerant of risk. The study also argues that open source users depended less on external technology support services but have more extensive information technology (IT) support structures. Copyright © 2014 John Wiley & Sons, Ltd.
Nowa metoda wartościowania stanowisk pracy

Celem artykułu jest opracowanie nowej metody mierzącej jakościowe cechy pracy w sposób prosty, transparentny, uniwersalny i ponadczasowy. Przy ocenie jakiejkolwiek cechy, czynnika, przedmiotu, podmiotu ważymy różne kryteria jakościowe i ilościowe, odnosząc je do przyjętego wzorca lub wartości w danej organizacji, społeczności lub kulturze. Budując system wartości stanowisk pracy w organizacji, przyjęto 7 kryteriów syntetycznych: wiedza, doświadczenie, mądrość, wysiłek psychofizyczny, wysiłek intelektualny, odpowiedzialność i współpraca. Każdemu kryterium syntetycznemu przydzielono kilka kryteriów analitycznych. Z kolei każdemu kryterium analitycznemu nadano przymiotni­ kowe werbalne stopnie natężenia. Do rozwiązania problemu wykorzystano wielokryterialną metodę rozwiązywania problemów decyzyjnych A H P (Analytic Hierarchy Process). Metoda ta odróżnia się od wszystkich poprzednich między innymi tym, że ostateczna waga (priorytet) dla danego czynnika analitycznego jest wielkością multiplikatywną, przenoszącą wartości z kryteriów syntetycznych na analityczne, a te na oceny punktowe. Opracowana metoda ma wartość uniwersalną w tym sensie, że można za jej pomocą wartościować pracę zarówno bezpośrednio produkcyjną (usługową), jak również na stanowiskach admini­ stracyjnych i menedżerskich. Ponadto może być wykorzystywana w różnych organizacjach, kulturach, społeczeństwach i państwach.
A Predictive Model for Mining Opinions of an Educational Database Using Neural Networks

Assessing the performance of an educational institute is a prime concern in an educational scenario. Educational Data Mining (EDM) considers several tasks originated from an educational context. One of the tasks identified is providing feedback for supporting instructors, administrators, teachers, course authors in decision making and thereby enable them to take appropriate remedial action. In this research, we have developed a prototype Neural Network Model which is trained to predict the performance of an educational institution. A Multilayer Perceptron Neural Network (MLP) model had been developed for this proposed research. The network is trained by back propagation algorithm. Data was obtained from a well-defined questionnaire consisting of 14 questions in the domains namely Academic Schedule, International Exposure, Jobs and Internship, Quality of the college, and Life at Campus. The results of these questions have been taken as inputs and performance of the institute has been considered as the output. To, validate the results generated by the network, statistical techniques have been used for the purpose. In this proposed research performance of an educational institution has been predicted. The results generated by the Neural Network and the statistical techniques have been compared in this research and it is observed that, both the methods have generated accurate results. The results have been considered based on the Normalized System Error (NSE) values of the network. A prototype Neural Network model has been developed to assess the performance of an educational institution.
The Nature of Referent Resolution in Japanese E-mail

We examine a corpus of naturally occurring data (Japanese e-mail texts) in order to explore the nature of referent resolution in such a corpus. Specifically, our aims are to give a characterization of Japanese e-mail, and to describe reference resolution processes operating in that medium in terms that will make them tractable for automatic language processing. Because the centering approach to modeling discourse phenomena is well defined computationally, we use that as a starting point for our analysis. We begin by describing the nature of Japanese e-mail, characterizing it both quantitatively and qualitatively. We then examine each instance of anaphora in the corpus to determine the process by which its reference can be resolved. Finally, we suggest a computationally tractable description for each type of reference and estimate how successful the application of each description would be. Our analysis gives a specific and empirically validated account of the possibility of processing reference automatically using centering parameters as a foundation.
Large-scale ad-hoc networking with social human relationship

When a large scale disaster happened, life-line as public services, e.g. electricity, telephone, and water-line, may stop. It is important, in such situation, to acquire and serve information for grasping circumstance precisely. In this paper, we propose a novel ad-hoc networking model that applies large-scale areas. We call this "large-scale ad-hoc networking". This networking model aims to use in disaster area, mainly and has applied its ah-hoc networking's advantage. Moreover, our proposal model uses social human relationship to decide routes of each message. The result of large-scale ad-hoc networking simulation, we get several evidences about large-scale ad-hoc networking and acquire the implementability about it. Concreatly, the result of simulation shows a usability of social human relations to decide routing and a possibility of reduction of network traffics in large- scale field.
MENDELU Working Papers in Business and Economics

Jan Žižka, Arnošt Svoboda, František Dařena: Machine Learning-Based Search for Similar Unstructured Text Entries Using Only a Few Positive Samples with Ranking by Similarity This research was inspired by the procedures that are used by human bibliographic searchers: Given some textual, only ‘positive’ (interesting) examples, coming from one category find the most similar ones that belong to a relevant topic. The problem of categorization of unlabeled relevant and irrelevant textual documents is here solved by using a small subset of relevant available patterns labeled manually. Unlabeled text items are compared with such labeled patterns. The unlabeled samples are then ranked according their degree of similarity with the patterns. At the top of the rank, there are the most similar (relevant) items. Entries receding from the rank top represent less and less similar entries. This simple method, aimed at processing large volumes of text entries, provides practically acceptable filtering results from the accuracy point of view and users can avoid the demanding task of labeling too many training examples to be able to apply a chosen classifier. The ranking-based approach provides results that can be further used for the following text-item processing where the number of irrelevant items is already not so high as it is usually typical for, for example, only the raw browsing results provided by Internet search engines. Even if this relatively simple automatic search is not errorless, it can help process particularly very large textual unstructured data volumes. Such an approach can help also in the economics area, for example, to automatically categorize written opinions of customers (as amazon.com is collecting via the Internet), process network-based discussion groups, and so like.
A study of regular architectures for digital implementation of neural networks

Investigations making use of a regular processor architecture for multilayer neural networks (NNs) are described. By comparing bus-coupling, ring, and mesh topologies, the authors theoretically analyzed the required data transmission count and calculation count for one iteration of training for a NN with one hidden layer. For a minimum data transmission count, an optimal number of processor elements (PEs) exists in the case of mesh, whereas no global optimum occurs for the bus-coupling and ring topologies. The minimum total computation count obtained by the mesh is less than 1/6 (1/30) of the ring (bus-coupling). The investigation also includes the relation of PE performance and computation time, in which the bit-serial design is compared to the bit-parallel. An example of a block description of a PE for the mesh topology is described. <<ETX>>
Research in Keyphrase Extraction

The purpose of this study is to review on keyphrase extraction research from science citation index expanded (SCI-EXPANED) database on web of science. The result indicates that the number of literature productions on this topic mainly distributes in recent 10 years, reaching climax in 2005 and then followed by 2010. The primary research development country is China. From the analysis result of document type, proceedings paper accounts for 50%. In general, the related research topics can be classified into keyphrase extraction for oriental language documents, English documents and bilingual documents. Hebrew documents and Chinese documents as oriental language documents have been the main objects for keyphrase extraction. Meanwhile keyphrase extraction for bilingual documents has been stressed on English and Arabic documents. Meanwhile recommendation is the focus for keyphrase extraction in English documents.
Detection of trap generation in high-k gate stacks

Constant voltage stress (CVS) combined with charge pumping (CP) measurements was applied to study trap generation phenomena in SiO2 /HfO2/TiN stacks. Using the analysis for frequency-dependent CP data developed to address depth profiling of the electron traps, we have determined that the voltage stress-induced generation of the defects contributing to threshold voltage instability in high-k gate stacks occurs primarily within the interfacial SiO2 layer (IL) on the as-grown "precursor" defects most likely caused by the overlaying HfO2 layer. These results point to the IL as a major focus for reliability improvement of high-k stacks
TA Today: A New Introduction to Transactional Analysis

Anti-microbial compositions comprising an inert carrier and a defined class of di-aryl nitrones are described. The compositions are advantageous in that they have high fungicidal activity against a substantially broad spectrum of plant pathogenic fungi, while at the same time the compositions are essentially non-phytotoxic to selected crops and ornamental plants in the fungicidally active amounts employed.
Leonardo's Eye

The eye whereby the beauty of the world is reflected by beholders is of such excellence that whoso consents to its loss deprives himself of the representation of all the works of nature. Because we can see these things owing to our eyes the soul is content to stay imprisoned in the human body; for through the eyes all the various things of nature are represented to the soul. Who loses his eyes leaves his soul in a dark prison without hope of ever again seeing the sun, light of all the world; and how many there are to whom the darkness of night is hateful though it is of but short duration; what would they do if such darkness were to be their companion for life ?
The effect of text layout on performance: A comparison between types of questions that require different reading processes

Research has assessed whether the typographic layout of reading examinations affects performance. To complement this under-researched aspect of assessment, an experimental study sought to find out whether such an effect is limited to types of questions that require more location than comprehension processes; or whether it is also found with types of question that require comprehension processes to a greater extent. The results showed that participants read a text and answered questions on it faster with a text layout conforming to legibility guidelines. This is true for both types of questions, regardless of the reading processes required.
FORMULASI DAN KARAKTERISASI SEDIAAN HIDROGEL MINYAK CENGKEH (Syzygium aromaticum) BERBASIS KITOSAN

Eugenol merupakan kandungan utama minyak cengkeh yang memiliki potensi sebagai anti inflamasi. Bentuk sediaan yang berupa cairan berminyak menimbulkan ketidaknyamanan dan tidak bertahan lama untuk kontak dengan kulit sehingga efikasi yang diharapkan tidak tercapai jika digunakan langsung pada permukaan kulit. Oleh karena itu, dibutuhkan sistem sediaan yang dapat menghantarkan obat menembus kulit dengan lebih baik. Hidrogel adalah sediaan semipadat yang diharapkan dapat diaplikasikan sebagai pembawa minyak cengkeh, sehingga akan meningkatkan kenyamanan dan efikasinya. Pembuatan hidrogel minyak cengkeh dilakukan dengan memformulasikan minyak cengkeh, surfaktan tween 80 dan propilen glikol (PG) menjadi emulsi. Desain formula dibuat menggunakan Design Expert 10 trial. Formula emulsi yang optimum selanjutnya diformulasikan dengan basis gel kitosan konsentrasi 4% dan 5%. Hidrogel minyak cengkeh diformulasikan menjadi emulsi yang selanjutnya ditambahkan ke dalam basis gel berupa kitosan. Dari hasil uji karakterisasi gel diperoleh bentuk emulgel berwarna putih kekuningan dengan pH 6. Uji daya sebar menunjukkan formula 1 dengan basis kitosan 5% memiliki daya sebar yang paling baik, yaitu 5,1 cm. Hasil uji daya lekat menunjukkan bahwa keempat formula memenuhi syarat uji daya lekat, yaitu tidak kurang dari 4 detik. Dari uji karakteristik, formula F1 5% merupakan formula yang optimal karena memenuhi semua persyaratan sifat fisik. Hal tersebut menunjukkan bahwa minyak cengkeh dapat menghasilkan sediaan gel yang baik dengan basis kitosan.
Automatic voice disorder recognition using acoustic amplitude modulation features

An automatic dysphonia recognition system is designed that exploits amplitude modulations (AM) in voice using biologically-inspired models. This system recognizes general dysphonia and four subclasses: hyperfunction, A-P squeezing, paralysis, and vocal fold lesions. The models developed represent processing in the auditory system at the level of the cochlea, auditory nerve, and inferior colliculus. Recognition experiments using dysphonic sentence data obtained from the Kay Elemetrics Disordered Voice Database suggest that our system provides complementary information to state-of-the-art mel-cepstral features. A model for analyzing AM in dysphonic speech is also developed from a traditional communications engineering perspective. Through a case study of seven disordered voices, we show that different AM patterns occur in different frequency bands. This perspective challenges current dysphonia analysis methods that analyze AM in the time-domain signal. Thesis Supervisor: Thomas F. Quatieri Title: Senior Member of Technical Staff; MIT Lincoln Laboratory Faculty of MIT SHBT Program
An approach toward wireless brain–computer interface system using EEG signals: A review -

The wireless brain–computer interface (BCI) system can become as powerful aids for people with disability (PWD), especially to help them move independently. The BCI system captures the user’s brain activity and classifies into a signal to which a robot or a computer device can respond. In this article, a review of various electrodes for capturing the electroencephalogram (EEG) signals, key techniques, and their applications of wireless BCI headset along with future development issues proposed by many researchers have been discussed. The central idea is a study on the brain rhythm related to the user’smovements for the control of mobile robots, humanoids, and robotic wheelchair. The BCI system is capable of improving and enriching the lives of PWD and people with neuromuscular disorder and bringing back the quality of free movement for PWD.
1G-13 Analysis of Touch Interaction for the Control of Smart Phones

especially in smart phones. There are apparent needs for an investigation into the icon design and touch interaction in order to enhance touch controllability. This study mainly aims to investigate the characteristics of touch input according to the interface design. Furthermore, the touchable area that yields a desirable hit rate is suggested for effective touch control. The results of this study will contribute to propose practical suggestions for interactions with an index finger. This study mainly aims to investigate characteristics of touch input. In addition, the touchable area that yields a specific hit rate is suggested for effective touch control. To achieve these goals, an empirical test was conducted through smart phone interface. The layout (3x4, 4x5, 5x6 and 6x8) and icon ratio (0.5, 0.7 and 0.9) were manipulated as an independent variable. A number of measurements (input offset, task completion time and preference) were utilized to assess the controllability of icon design. As a result, the layout and icon ratio were statistically significant on all three measurements. The 3x4 and 4x5 layouts were shown to have better performance. The icon ratio of 0.7 and 0.9 was also shown to have better preference. Meanwhile, the touchable area was derived based on the distribution of touch input. The general shape of the touchable area was vertically long rectangle. Based on the results of this study, the locations of the central region indicated a pattern of vertical touch and showed better performance. It was also shown that task completion time increased with an increase in the icon ratio while user preference became higher. This research is expected to contribute to practical suggestions for the interaction with an index finger.
Software complexity measurement using multiple criteria

One of the challenges in software development is measuring and estimating software complexity at various levels of development. It is difficult to manage a software project without having well-developed measuring techniques. The term 'software complexity' is used to indicate the testability, maintainability, readability, and/or comprehensibility of a program. In the past, complexity is often measured by code size (lines of code), but that does not provide a measure of how difficult it is to understand or code the program. This research describes a quantitative method to measure software complexity, thus enabling us to apply appropriate resources towards developing, testing and maintaining the software. Using code abstractions in statechart diagrams, adequate measurement of software complexity is demonstrated.
Efficient model-based exploration

Model-Based Reinforcement Learning (MBRL) can greatly profit from using world models for estimating the consequences of selecting particular actions: an animat can construct such a model from its experiences and use it for computing rewarding behavior. We study the problem of collecting useful experiences through exploration in stochastic environments. Towards this end we use MBRL to maximize exploration rewards (in addition to environmental rewards) for visits of states that promise information gain. We also combine MBRL and the Interval Estimation algorithm (Kaelbling, 1993). Experimental results demonstrate the advantages of our approaches.