Miracle-dz/UniFAR-FTUs huggingface dataset:
Data Mining and Warehousing in Pharma Industry

The volume of data in pharmaceutical industry has been growing at an unprecedented rate. For example, a microarray (equivalent of one test) may provide thousands of data points. These huge datasets offer challenges and opportunities. The primary challenges are data storage, management, and knowledge discovery. The pharmaceutical industry is one of the most datadriven industries and getting value out of the data is key to its success. Thus processing the data with novel tools and methods for extracting useful knowledge for speedy drug discovery and optimal matching of the drugs with the patients may well become the main factor differentiating the pharmaceutical companies. The main sources of pharmaceutical data are patients, genetic tests, regulatory sources, pharmaceutical literature, and so on. Data and information collected from different sources, agencies, and clinics, has been traditionally used for narrow reporting (Berndt et al., 2001). Massive clinical trials may lead to errors such as protocol violations, data integrity, data formats, transfer errors, and so on. Traditionally the analysis in pharmaceutical industry [from prediction of drug stability (King et al., 1984) to drug discovery techniques (Tye, 2004)] is performed using the population based statistical techniques. To minimize possible errors and increase confidence in predictions there is a need for a comprehensive methodology for data collection, storage, and analysis. Automation of the pharmaceutical data over its lifecycle seems to be an obvious alternative. The vision for pharmaceutical industry is captured in Figure 1. It has become apparent that data will play a central role in drug discovery and delivery to an individual patient. We are about to see pharmaceutical companies delivering drugs, developing test kits (including genetic tests), and computer programs to deliver the best drug to the patient. The current data mining (DM) tools are capable of issuing customized prescriptions, providing most effective drugs, and dosages with minimal adverse effects. It has become practical to think of designing, producing, and delivering drugs intended for an individual patient (or a small population of patients). Here, analogy of the one-of-a-kind production of today versus mass production is worthy attention. Many industries are attempting to produce customized products. The pharmaceutical industry may soon become a new addition to this collection of industries.
Frequent value locality and its applications to energy efficient memory design

The need in low power processor design is growing due to the reliability problem for high frequency, high temperature processor chips and the expanding market for battery powered mobile devices. The memory hierarchy is a known source of significant power consumption. This dissertation develops low power techniques for two parts in the memory hierarchy, namely the data cache and the off-chip data bus. The proposed techniques are based on new observations of the memory residing frequent values. The study on memory values shows that a small set of frequent values occupy a substantial fraction of memory spaces allocated to an executing program. Those values remain fairly stable over a program run. Moreover, the frequent values are distributed in the memory quite uniformly and periodically. Techniques in identifying the set of frequent values through software method and hardware methods are developed. Those techniques are adopted in the low power applications for the data cache and data bus. A conventional data cache is redesigned into frequent value cache (FVC) so that power consumption is reduced for every access of frequent values. However, this comes with a cost of extra cycles for nonfrequent value accesses. To overcome the loss in speed, a load marking technique is developed so that for a substantial number of nonfrequent value accesses there is no degradation in speed. Experimental results of the FVC design show an energy reduction of 28.8% in L1 data cache is achieved. On the off-chip data bus, an FV encoding technique is developed exploring frequent values. The encoding scheme reduces the total bus switching by using “one-hot” codes for frequent values. Variations of the FV encoding technique are also designed to achieve maximum switching reduction across different configurations and different benchmarks. The FV encoding technique can reduce the total number of bus switching counts 1.5 to 4 times more than that is achieved by other data bus encoding schemes. In addition to the frequent value based cache design, a cache access limiting mechanism is developed to achieve low power from a different angle. A subset of cache accesses is removed by reusing their results in history. The reuse hardware is fine tuned to keep the overhead minimum while achieving low power in the data cache. The reuse hardware for the data cache can achieve 11% net cache energy saving.
Estimation of the 3D Pose of objects in a scenecaptured with Kinect camera using CAD models

This report presents a method for estimating the 3D pose of an object in a picture captured by recent structured-light sensors, such as the PrimeSense sensor commercialized under the name Kinect. In particular the work is focused on the estimation of the pose of a target represented by a CAD model without passing through the transformation of the model to a point cloud dataset, as required by the traditional approach. We study an iterative method which uses the geometrical entities which a CAD model is composed of and which works on the distance point-face rather that on the distance point-point as the traditional ICP does. For this reason we will refer to this method as "Iterative Closest Face" (ICF). The work demonstrates that the algorithm, in contrast with the traditional approach, is able to converge to the solution without any initial knowledge on the pose of the target although its efficiency could be stepped up by the use of rough-alignment algorithms. In order to achieve the goal of finding the pose of an object in a scene composed of several objects, we adopt an algorithm to extract the points belonging to different objects and associate them to different clusters, proposed by the Point Cloud Library. For each different cluster, the ICF maximizes an objective function whose value is proportional to the quality of the match. The presented pose-estimation method is intended to create an alternative to the ICP algorithm when the geometry of the CAD-model representing the target is easy enough to render the ICF more efficient than the traditional approach.
Key Papers in the Development of Coding Theory

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Geração de interfaces de usuário de sistemas Web para múltiplos dispositivos com o uso de componentes de IU

This work presents an User Interface (UI) prototypes generation process to the softwares that has a Web browser as a plataform. This process uses UI components more complex than HTML elements. To described this components more complex this work suggest to use the XICL (eXtensinble User Interface Components Language). XICL is a language, based on XML syntax, to describe UI Components and IUs. XICL promotes extensibility and reusability in the User Interface development process. We have developed two compiler. The first one compiles IMML (Interactive Message Modeling Language) code and generates XICL code. The second one compiles XICL code and generates DHTML code. Area of Concentration: Software Engineering.
The Essential Turing: Seminal Writings in Computing, Logic, Philosophy, Artificial Intelligence, and Artificial Life plus The Secrets of Enigma

Alan Turing 1912-1954 Computable Numbers: A Guide 1. On Computable Numbers, with an Application to the Entscheidensproblem (1936) 2. On Computable Numbers: Corrections and Critiques 3. Systems of Logic Based on Ordinals (1938) 4. Letters on Logic to Max Newman (c. 1940) Enigma 5. History of Hut 8 to December 1941 (1845) 6. Bombe and Spider (1940) 7. Letter to Winston Churchill (1941) 8. Memorandum to OP-20-G on Naval Enigma (c. 1941) Artificial Intelligence 9. Lecture on the Automatic Computing Machine (1947) 10. Intelligent Machinery (1948) 11. Computing Machinery and Intelligence (1950) 12. Intelligent Machinery, A Heretical Theory (c. 1951) 13. Can Digital Computers Think? 14. Can Automatic Calculating Machines Be Said to Think? (1952) Artificial Life 15. The Chemical Basis of Morphogenesis (1952) 16. Chess (1953) 17. Solvable and Unsolvable Problems (1954)
Improvement of Sequential Prediction Algorithm for Player's Action Prediction

It takes quite amount of time to study a game because there are many game characters and different stages are exist for games. This paper used reinforcement learning algorithm for characters to learn, and so they can move intelligently. On learning early, the learning speed becomes slow. Improved sequential prediction method was used to improve the speed of learning. To compare a normal learning to an improved one, a game was created. As a result, improved character‘s ability was improved 30% on learning speed.
Meningkatkan Kreativitas Anak Usia 5-6 Tahun melalui Media Magic Puffer Ball

Penelitian ini bertujuan untuk meningkatkan kreativitas anak di TKMarsudirini Sang Timur Salatigakelompok B2. Penelitian ini menggunakan penelitian tindakan kelas (PTK). Subjek penelitian di TK Marsudirini Sang Timur Salatiga kelompok B2 berjumlah 20 anak, 9 laki-laki dan 11 perempuan. Teknik pengumpulan data melalui observasi dan dokumentasi. Hasil penelitian menunjukan adanya peningkatan kreativitas anak melalui penggunan media â€œmagic puffer ballâ€, yaitu kreativitas pada pra siklus sebesar 22% dari 20 anak, peningkatan kreativitas pada siklus I pertemuan pertama sebesar 38% dai 20 anak, siklus I pertemuan ke dua sebesar 44% dan peningkatan kreativitas disiklus II pertemuan pertama sebesar 61% dari 20 anak, siklus II pertemuan kedua sebesar 75%. Adapun indikator yang digunakan yaitu mampu memperkaya dan mengembangkan suatu gagasan atau produk dan menambahkan atau memperinci detil-detil dari suatu objek, gagasan atau situasi sehingga lebih menarik. Kesimpulan dari penelitian ini adalah penggunaan media â€œmagic puffer ballâ€ dapat meningkatkan kreativitas anak
A review of research on wood recognition technology.

Three traditional methods and database searching method of wood recognition were introduced. Then the advantages of the method of wood recognition based on computer vision were pointed out. According to the recognition process,this method was divided into three styles:type,feature and classifier. Finally,five aspects for future research in the semantic features extraction,combination of semantic features and texture features,tree species fingerprint search,non-slicing recognition and equipment development to identify were put forward.
Analyse de la convergence d'un système multi-antennes précodé itératif

In this paper, we propose to study the convergence of a linearly precoded MIMO system with an iterative decoding. This study is based on an EXIT chart and Monte Carlo simulations The precoding is performed by an Hadamard matrix and the MIMO system carries out a spatial multiplexing. The potential diversity gain for such a system is equal to the number of receive antennas times the size of the precoder. The EXIT chart shows the influence of the system parameters over the convergence and the asymptotical performance. Results are presented for a 16-QAM that allows an high spectral efficiency.
Evolution of the Major Computer Storage Devices

Density of data stored on a magnetic hard disk increased 1.2-million-fold in the four decades after IBM's introduction of the first commercial disk drive in 1957. Improvements in the miniaturization have been the primary catalyst for this spectacular growth. Because of this, computers are no longer simply relegated to the desktop. They are in our cars, our TVs, VCRs, Stereos and toasters. Increasingly, we are doing business and accomplishing everyday tasks over vast computer networks. Our world is changing from the physica l to the digital. This transformation is no small task and the transition from the present world to the digital one is highly dependent on smart, inexpensive and abundant digital storage [. 1. ]. Introduction Since the inception of the modern computers in the late 1940s, computing systems have continually grown in complexity, both in hardware and in the software associated systems. This complexity is due to two factors: first, the tradeoffs in cost/performance versus size of various memory–storage systems, and second the way users organize and use data. Modern computing systems consist of four hardware components: the central processing unit (CPU), the main memory, the secondary storage (disks, tapes, CDs, etc.) and the input-output devices that interfaces with humans. Since the beginning of the modern computer era in the late 1940s and early 1950s, the need for larger storage capabilities has become increasingly apparent. The need for larger storage is due mainly to the vast amount of digital data including graphic, audio and video media. -4-All computations, either mental, mechanical, or electronic require a storage system of some kind, whether the numbers be written on paper, remembered in our brain, counted on the mechanical devices of a gear, punched as holes in paper, or translated into electronic circuitry. This study reviews the evolution of the storage systems from early mechanical systems to optical storage technology. Because of the importance of the storage systems in computing, evolution of the storage systems is directly related the CSIS 550-History of Computing. Floppy disk drives were originally introduced commercially as a read-only device in the early 1970s. These early floppy disk drives were used to hold microcode and diagnostics for large IBM mainframe computer systems. These disk drives were using 8-inch floppy diskettes recorded on only one side. By changing these diskettes inside the floppy drive, technicians could easily update the microcode to the latest revisions or load diagnostics easily. The storage capacity of …
What is "Cloud"?

This paper follows the history of the term “cloud” from the beginning of the Internet to the era of cloud computing, and ponders its past and current meaning. We argue that outsourcing is the primary meaning of “cloud”. We discuss elasticity and its significance in cloud computing. Elasticity is a key cost-cutting measure, especially for startup companies, but is not a requirement for cloud systems. We discuss the simple service layer model and the role of software components on different layers. We refine the model to better capture real-world use cases. This is achieved by dividing the layers into solutions and solutions further into components. Finally, we define a new computing business model. In this model, a company manages the entire computing experience of users. We conclude with discussion of the new business model and the possibilities it offers for users of the cloud.
Overview of low-power ULSI circuit techniques

This chapter contains sections titled: Minimizing Power Consumption in Digital CMOS Circuits Overview of Low-Power ULSI Circuit Techniques Multi-Level Pass-Transistor Logic for Low-Power ULSIs High Performance, Energy Efficient Master-Slave Flip-Flop Circuits Power Dissipation in the Clock System of highly pipelined ULSI CMOS Circuits Power-Delay Characteristics of CMOS Adders Delay Balanced Multipliers for Low Power/Low Voltage DSP Core Minimization of Power in VLSI Circuits Using Transistor Sizing, Input Ordering, and Statistical Power Estimation Low-Power Digital Design Power Analysis of a Programmable DSP for Architecture/Program Optimization A Review of Adiabatic Computing 2ND Order Adiabatic Computation with 2N-2P and 2N-2N2P Logic Circuits A Low-Power Microprocessor Based on Resonant Energy Clocked CMOS Adiabatic Logic with Integrated Single-Phase Power-Clock Supply: Experimental Results
End-user development of mashups using live natural language programming

The emergence of the long-tail in the market of software applications is shifting the role of end-users from mere consumers to becoming developers of applications addressing their unique, personal, and transient needs. On the Web, a popular form of such applications is called mashup, built out of the lightweight composition of Web APIs (reusable software components delivered as a service through the Web). To enable end-users to build mashups, there is a key problem that must be overcome: End-users lack programming knowledge as well as the interest to learn how to master the complex set of Web technologies required to develop mashups. End-User Development (EUD) is an emerging research field dealing with this type of problems. Its main goal is to design tools and techniques facilitating the development of software applications by nonprogrammers. In this dissertation, we designed and implemented NaturalMash, an EUD system that empowers end-users to develop mashups. NaturalMash adopts a novel hybrid end-user programming technique combining natural language programming with a what-you-see-is-what-you-get interface in a live programming environment. We followed an iterative user-centered design process, in which three formative evaluations drove the incremental design of our system. At the end of the process, we conducted a summative usability evaluation, whose results suggest that the system is highly usable by non-programmers. Also, we proposed a novel benchmarking framework to evaluate mashup tools against each other. Using the framework, we conducted a comparative evaluation of 28 state-of-the-art mashup tools (NaturalMash included) against their expressive power. According to the results, our proposed system has a moderate yet competitive level of expressiveness. All in all, NaturalMash contributes a novel design featuring a unique combination of end-user programming techniques, a suitable metaphor, and the ability to enable an optimal learning experience. Our extensive evaluation results indicate that NaturalMash is located at a sweet spot along the classical trade-off between expressiveness and usability/learnability.
PHÂN TÍCH SỰ ẢNH HƯỞNG CỦA MỘT SỐ ĐỘ ĐO LIÊN KẾT ÁP DỤNG VÀO BÀI TOÁN DỰ ĐOÁN LIÊN KẾT TRONG MẠNG ĐỒNG TÁC GIẢ

In scientific research field, publishing papers often involves the participation and contribution from multiple authors. Similar to general social networking, co-authorship depends on various factors: acquaintance, collaboration, past relationship / coauthorship, or specific researching field, etc. This paper aims to analyse some linking metrics to observe the effect of those metrics in predicting the possibility of a co-authorship between certain candidates.
A Distributed Processor Architecture for BMD Signal and Data Processing Applications.

Abstract : The signal processor in large Ballistic Missile Defense (BMD) systems includes a subsystem, known as the Post Processor, which selectively reduces the received data to rates which are appropriate for the subsequent general purpose Data Processing System. This report presents an analysis of the processing requirements for the Post Processor and describes a multiprocessor, multibus architecture which appears well matched to the processing and throughput requirements. (Author)
Dynamic Bias for RF Class A Power Amplifiers

This thesis focuses on class A radio frequency power amplifiers in dynamic supply modulation architectures (dynamic bias). These are promising efficiency enhancement techniques where the device is driven harder by varying its bias signals. Non linearities that arise are considered as digitally compensated through, for example, digital predistortion (DPD). Bias signals are meant as functions of the PA? s output power level (P out). Therefore, the input power level (P in) as well as the feeding signals are thought as quantities the amplifier need to give a certain P out. The selected set of bias points the device sweeps through is called bias trajectory or bias path. A tool to find a suitable bias trajectory is developed considering the requirements a class A power amplifier should satisfy: high power added efficiency, acceptable gain and output phase variations as P out changes (allowing a DPD algorithm to be effective), low harmonic distortion and not too complicated bias signals patterns. The tool consists of two softwares: ADS and Matlab. ADS simulates the device under test while Matlab allows the user to analyze the data and find a suitable bias path. Once a trajectory is identified, ADS can sweep along it and give more information on linearity and efficiency through, for instance, 2-tone harmonic balance simulations. Note that only static characteristics are evaluated and memory effects disregarded. The path searching algorithm is then applied to a HBT transistor, at a frequency of 1.9GHz and to a complete pHEMT class A PA (frequency of 6Ghz). In both cases a suitable trajectory is identified and analyzed back in ADS. The Matlab plots are qualitatively similar to each other when switching form one device to another. The HBT transistor has then been tested in the laboratory and static measurements have been performed showing good agreement with simulations. Keywords: Bias trajectory, dynamic bias, efficiency, HBT, linearity, pHEMT, power amplifier
Debugging Techniques Used by Experienced Programmers to Debug Their Own Code.

Abstract : The present research examines professional programmers' attitudes toward interactive debuggers and studies the techniques they use in debugging their own code. Professional programmers were asked to fill out a questionnaire regarding their use and evaluation of debuggers. The programmers were then asked to code and debug three programming tasks. Protocol data, videotapes, and intermediate versions of the source code were used to analyze debugging techniques. The results suggest that available debuggers meet programmers' functional requirements, but the presentation of the debuggers needs to be improved. Implications for future debugger development are discussed. (KR)
Personalized Traffic Information Service Based on User Interests

Compared with traditional traffic information service which disregards user's interests, personalized service can improve user's experiences by providing customized information. However, most personalized services require users to input their interests manually. The complex and detailed input, sometimes difficult to operate, may be low-efficient and inconvenient to users. To solve the problem, the authors propose a system to simplify users operations by automatically analyzing user's interests from their historical route traces. In the system, user;s interests analysis and personalized traffic information generation are two important modules. This paper introduces architecture of the system and processing low of the main modules. Experimental results about user historical route traces and personalized traffic information are also presented.