Miracle-dz/UniFAR-FTUs huggingface dataset:
Secondary School Students' Misconceptions about Simple Electric Circuits

The aim of this study is to reveal secondary school students’ misconceptions about simple electric circuits and to define whether specific misconceptions peculiar to Turkish students exist within those identified. Data were obtained with a conceptual understanding test for simple electric circuits and semi-structured interviews. Conceptual understanding test consists of eight open-ended questions that were designed by reviewing the related studies in the literature. The most important findings appeared in the study were the misconceptions, which emphasized the idea of “no bulb lights on if the switch is off” due to everyday language and the idea of “bulbs connected in parallel give better light than those connected in series” due to prior teachings. In addition, misconceptions, those frequently reported in the literature such as “the consumption of current”, “batteries are constant current sources”, etc. were also suggested in this study.
PENERAPAN ALGORITMA QUANTUM TREEMAPS DAN BUBBLEMAPS PADA ZOOMABLE IMAGE BROWSER

Pada umumnya, aplikasi penampil gambar (image browser) menampilkan gambar dengan menggunakan miniatur gambar (thumbnail) yang diatur dalam bentuk grid, dimana pengguna dapat memilih gambar yang hendak dilihat dengan menggunakan mouse. Meskipun aplikasi penampil gambar sangat populer, mereka memiliki beberapa kekurangan. Misalnya, mereka hanya bisa menampilkan gambar yang terletak dalam satu direktori saja. Jika dalam direktori tersebut ada sangat banyak gambar dan tidak cukup untuk ditampilkan semuanya dalam satu layar, maka pengguna harus menggunakan scrollbar untuk melihat sisanya. Untuk beberapa kasus, miniatur gambar yang ditampilkan terlalu kecil sehingga pengguna tidak tahu apa isi dari gambar tersebut. Untuk mengatasi kekurangan-kekurangan diatas, digunakan Zoomable User Interface (ZUI) yang terintegrasi didalam sebuah aplikasi penampil gambar yang diberi nama Zoomable Image Browser yang dapat menampilkan gambar dengan menggunakan miniatur gambar tanpa scrollbar meskipun jumlahnya banyak. Selain itu, pada aplikasi ini pengguna dapat menampilkan gambar-gambar dari banyak direktori sekaligus. Untuk menyusun kelompok-kelompok gambar tersebut secara otomatis, digunakan dua algoritma, yaitu algoritma quantum treemaps dan algoritma bubblemaps. Quantum treemaps adalah algoritma yang membagi daerah yang ada dalam bentuk persegi panjang. Persegi panjang yang dihasilkan akan dibagi-bagi lagi menjadi persegi panjang yang lebih kecil dan begitu seterusnya. Algoritma bubblemaps bekerja dengan mengisi sel-sel yang ada dalam sebuah grid, menyimpan tanda dari sel-sel yang ada, sehingga dapat diketahui bahwa sel tersebut akan ditempati oleh gambar dari kelompok yang mana. Kesimpulan yang dapat diambil adalah karena algoritma bubblemaps menghasilkan daerah dengan bentuk acak, maka pengguna akan kesulitan dalam menemukan kelompok gambar tertentu, tetapi tidak menghasilkan tempat kosong pada kelompok gambar. Sedangkan algoritma quantum treemaps menghasilkan daerah berbentuk persegi panjang untuk menampung kelompok-kelompok gambar, sehingga pada sebagian besar daerah kelompok gambar terdapat tempat kosong, tetapi pengguna akan lebih mudah membedakan kelompok-kelompok gambar.
A New Real-coded Genetic Algorithm with an Adaptive Mating Selection for UV-landscapes

The purpose of this paper is to propose a new real-coded genetic algorithm (RCGA) named Networked Genetic Algorithm (NGA) that intends to find multiple optima simultaneously in deceptive globally multimodal landscapes. Most current techniques such as niching for finding multiple optima take into account big valley landscapes or non-deceptive globally multimodal landscapes but not deceptive ones called UV-landscapes. Adaptive Neighboring Search (ANS) is a promising approach for finding multiple optima in UV-landscapes. ANS utilizes a restricted mating scheme with a crossover-like mutation in order to find optima in deceptive globally multimodal landscapes. However, ANS has a fundamental problem that it does not find all the optima simultaneously in many cases. NGA overcomes the problem by an adaptive parent-selection scheme and an improved crossover-like mutation. We show the effectiveness of NGA over ANS in terms of the number of detected optima in a single run on Fletcher and Powell functions as benchmark problems that are known to have multiple optima, ill-scaledness, and UV-landscapes.
A 0.5-8.5 GHz fully differential CMOS distributed amplifier

A fully integrated fully differential distributed amplifier with 5.5 dB pass-band gain and 8.5 GHz unity-gain bandwidth is described. The fully differential CMOS circuit topology yields wider bandwidth than its single-ended counterpart, by eliminating the source degeneration effects of parasitic interconnect, bond wire, and package inductors. A simulated annealing CAD tool underpins the parasitic-aware methodology used to optimize the design including all on-chip active and passive device and off-chip package parasitics. Mixed-mode S-parameter measurement techniques used for fully differential circuit testing are reviewed. Integrated in 1.3/spl times/2.2 mm/sup 2/ in a standard 0.6 /spl mu/m CMOS process, the distributed amplifier dissipates 216 mW from a single 3 V supply.
A Unifying Principle Behind Switching Converters and some New Basic Configurations

Switching converters are conventionally drawn in three basic configurations, namely, a) The Flyback converter b) The Forward Converter c) The Up-Converter Each of these configurations is characterised by a D. C. voltage transfer of the form where Vo and V1 are respectively, the output and input voltages, and d is the duty-ratio of the switch. To the extent that F(d) is different for each of the three configurations, they are considered to differ from each other in a basic, mathematical, sense.
The Solution to Node Importance in Complex Networks Based on PageRank Algorithm

Network science is an emerging interdiscipline that can solve practical issues by researching and analyzing properties of complex networks. In this paper, a modified algorithm based on PageRank is developed to construct the evaluation model in directed-weighted networks. This model can effectively determine the node importance in networks. Discussions about how to construct networks with the use of relationship between data and how to determine the weight of edges form the major concern of the present studies. Schemes for solving the above issues can differ in different networks. We successfully apply this model to citation, co-author and weibo follower networks. Through the results, we find that this optimized model can efficiently evaluate the importance of nodes in different complex networks and has strong applicability.
Measure: an interactive tool for accurate forensic photo/videogrammetry

The development and use of Cognitech's measure package is described. The Measure program allows the user to enter the locations and dimensions of known points in an image, and through the established principles of photogrammetry, recover dimensions and positions of objects that are unknown. Several cases in which Measure was employed in the investigative process are discussed.
A synchrotron redetermination of 2-(morpholinium-4- yl)ethanesulfonate monohydrate, including a disordered water molecule

The structure of the title compound, C6H13NO4S·H2O or OC4H8NHCH2CH2SO3·H2O, was redetermined at 100 (1) K using synchrotron radiation. The water mol­ecule, in contrast to the results of the prior room-temperature study [Christensen, Haxell, Lehmann & Nielsen (1993). Acta Chem. Scand. 47, 753–756], was found to be disordered over two positions. The disordered model is more consistent with the observed hydrogen-bond network than the earlier suggested ordered structure.
Low Cost Radar and Sonar using Open Source Hardware and Software.

The full range of radar types and innovations can be complex and difficult to prototype, especially for institutions that wish to perform a wide range of experiments for low financial cost. Radar and sonar system development can benefit from digital technology that is powerful for research purposes, easy to use, and inexpensive. The purpose of this thesis was the development of a sonar application using the Universal Software Radio Peripheral and the GNU Radio software framework. These are Open Source tools created for the software-defined radio community. These tools provide a powerful yet flexible means to experiment with a wide range of radio frequency applications, using a minimal amount of relatively cheap hardware. In this thesis, these tools were modified from their original telecommunications purpose, to produce a sonar system that could eventually be scaled to a prototype radar system using the same device and software framework.
Rapid connectionist speaker adaptation

SVCnet, a system for modeling speaker variability, is presented. Encoder neural networks specialized for each speech sound produce low-dimensionality models of acoustical variation, and these models are further combined into an overall model of voice variability. A training procedure is described which minimizes the dependence of this model on which sounds have been uttered. Using the trained model (SVCnet) and a brief, unconstrained sample of a new speaker's voice, the system produces a speaker voice code that can be used to adapt a recognition system to the new speaker without retraining. A system which combines SVCnet with a MS-TDNN recognizer is described. <<ETX>>
Towards multi-GPU support for visualization

At the Institute for Ultrascale Visualization, we are tackling the broad problem of building visualization solutions for the petascale age and beyond. As computing transitions into a new age where scalar solutions no longer improve in performance, and parallel solutions are the vehicle for future performance gains, one key challenge in our effort is to harness the power of emerging commodity data-parallel processors. One of the most promising new parallel processors is the graphics processing unit (GPU), whose recent gains in programmability and enormous arithmetic and memory bandwidth substantially outpace its CPU counterpart. The GPU's performance and programmability, together with its graphics capabilities, make it particularly well suited for demanding next-generation visualization applications. We face a number of important challenges in making the GPU a first-class citizen for computation in these visualization applications. In this paper, we describe how we are addressing these challenges: mapping GPUs to general-purpose tasks, fundamental algorithms for GPUs, visualization applications that use the GPU for general-purpose computation, and extending our applications to support multiple GPUs. We also describe trends in upcoming GPU designs and how they will impact our research moving forward.
Maximal Frequent Itemsets in Data Stream Mining Based on Orderly-Compound Policy

Mining maximal frequent itemsets get the advantage of a relatively small number of itemsets. Compared to mining frequent itemsets and mining frequent closed itemsets, such algorithm has higher time and space efficiency. According to the features of data streams and combined sliding window, a new algorithm E-FPMFI which is based on orderly-compound policy for mining maximal frequent itemsets in data stream is proposed. The algorithm based on basic window updates information from data stream flow fragment and scans the stream only once to gain and store it in frequent itemsets list. The algorithm construct FP-tree, then compress orderly FP-tree by merging nodes which has equal minsup in same branch, also uses subset mix pruning technique, avoid superset checking. The experimental results show the algorithm has higher time, space efficiency and good scalability.
Statistical Modeling: The Two Cultures (with comments and a rejoinder by the author)

There are two cultures in the use of statistical modeling to reach conclusions from data. One assumes that the data are generated bya given stochastic data model. The other uses algorithmic models and treats the data mechanism as unknown. The statistical communityhas been committed to the almost exclusive use of data models. This commit- ment has led to irrelevant theory, questionable conclusions, and has kept statisticians from working on a large range of interesting current prob- lems. Algorithmic modeling, both in theoryand practice, has developed rapidlyin fields outside statistics. It can be used both on large complex data sets and as a more accurate and informative alternative to data modeling on smaller data sets. If our goal as a field is to use data to solve problems, then we need to move awayfrom exclusive dependence on data models and adopt a more diverse set of tools.
The information processing roles for mid-level production management in agile manufacturing

Concurrent with the development of agile manufacturing has been the worldwide managerial initiative to increase productivity and quality through redesigning work processes and procedures. Based on a precept of continuous improvement, this effort has focused on simplifying production processes and eliminating those activities that do not add value to the firm's output of products and services. Productivity has been enhanced primarily through cost reductions. Associated with these reduction-in-force programs has been an elimination of organizational levels and an empowerment of the work force. Information technologies are responsible for some of the gains in productivity as improvements in information processing capabilities have significantly changed shop floor activities and streamlined the traditional information processing roles of mid-level production managers. <<ETX>>
A Study on IT Outsourcing Policy Based on Operational Risks of Financial Industries

For the continuous financial incidents occurred in 2011, Korean government has announced the amendment on electronic finance supervision regulation including human resources, organization and budget. The major part of the regulation is mainly focused on human resources and budget. It states that company has to employ at least 5 percent of IT staff out of total staff, and at least 5 percent of security staff in IT staff employment number. Budget for security should be at least 7 percent of total IT budgets. This paper studies IT outsourcing policy based on operational risks of financial industries caused by amendment of regulation. This paper provides the policy decision procedure for resolving the 3rd party problems and suggests the effective operation policy to 3rd party for the program quality improvement and case studies at the IT task classification.
Responding to Hostility

Hostile challenges to planned organization change are common and challenging to deal with effectively. Little research has explained successful responses to such stakeholder hostility. To address this gap, we use the concept of readiness to characterize the content of hostile challenges. We also use rhetorical strategies based on speech act theory to describe options for responding to those challenges. Because change agents must choose among multiple strategies, we continue a line of research investigating relative preferences among them. Ultimately, our aim is to offer six lessons for change agents who face hostile challenges based on evidence from research.
The exascale challenge

Stanford University, and chief scientist at graphics chipmaker NVIDIA, a company viewed by some as occupying a leadership position in resolving some key issues that exascale computing presents. SGI, manufacturer of mainframes, supercomputers, and high-powered workstations has begun experimenting with low-power processors in supercomputers. It is using the Atom processors Intel developed for handheld computers in place of the Xeons that are used in its top-end Altix UV machines. The Atom processors are used by, among others, Professor Stephen Hawking's Computational Cosmology Consortium (COSMOS) team based at the University of Cambridge. COSMOS selected a SGI Altix UV 1000 platform to support its research.
An IP traceback scheme based on hop count

: This letter proposes an IP traceback scheme based on the hop count. The proposed scheme solves the limitation of a storage capacity in a conventional scheme that stores all the packets passing through each router in an autonomous system. In the proposed scheme, each router detects spoofed packets, logs the hashes of only the detected packets, and stores them by using the Bloom ﬁlter. To detect spoofed packets, each router compares their time-to-live values with the expected values on our hop count table, which is maintained by a link-state routing protocol at each router. Numerical results show that the proposed scheme reduces the storage capacity eﬀectively, compared with the conventional scheme.
A 1.5 GHz highly linear CMOS downconversion mixer

A CMOS mixer topology for use in highly integrated downconversion receivers is presented. The mixing is based on the modulation of nMOS transistors in the triode region which renders an excellent linearity independent of mismatch. With two extra capacitors added to the classical cross-coupled MOSFET-C lowpass filter structure, GHz signals can be processed while only a low-frequency opamp is required as output amplifier. The downconversion mixer has an input bandwidth of 1.5 GHz. The measured third-order intercept point (IP3) of 45.2 dBm demonstrates the high linearity. The mixer has been implemented in a 1.2 /spl mu/m CMOS process. It takes up 1 mm/sup 2/ of total chip area and its power consumption is 1.3 mW from a single 5 V power supply. >
Signature verification system on neuro-computer

A signature verification system using a neuro-computer is presented. The neuro-computer executes the backpropagation learning algorithm for multilayer neural networks faster than a super computer. The system uses signals obtained from pen pressure and writing speed. A method for generating deformed signature patterns is also presented. The learning of about 500 patterns is converged within several seconds using four-layer networks (768-119-61-1). The evaluation result based on 70 persons' signatures is also presented. The reject ratio (false rejection) is 7.97% and the error ratio (false acceptance) is 0.61%. <<ETX>>
A Highly Integrated Power Management IC for Advanced Mobile Applications

Wireless communication now has the speed and power to converge seamlessly with other consumer and business electronics. However, battery technology has not kept pace with advancement in circuit technology. As a result, design of power management is becoming a more complex problem for this new generation of wireless devices with converged voice, data, and multimedia. In this paper, a highly integrated power management IC (PMIC) is presented which enables mobile devices that are more cost effective, thinner and more compact with better power efficiency. The overall architecture and system level design considerations are described. The design details of two key building blocks - low-dropout linear regulator (LDO) and switch-mode DC-DC converter - are also discussed, including a novel frequency compensation method for LDO.
Novel method for curved path human walking animation

Human walking is frequently simulated in Computer Animation, for it is the haic and widely used locomotion of human being. Many algorithms have been designed, which can be divided into two kinds: Kinematics based and Dynamics based. This paper concentrate on the simulation of curved path human walking in Virtual Environment. We use a new method, parabolic fitting, to optimize path generated by path planning. It is very convenient to get face direction and path length information from this method. A blend factor is provided to control the approximation level to original path of the optimized path. Inverse kinematics is then used to generate walking animation. The foot of stance leg is constrained to fix on the ground and the foot of the swing leg is controlled by a swing curve. Only high level parameters such as speed, stroke are needed to generate walking animation.
Neuromuscular Analysis as a Guideline in designing Shared Control

The challenges in designing human-machine interaction have been around for decades: how to combine the intelligence and creativity of humans with the precision and strength of machines? It is well known that manual control tasks are prone to human errors. The conventional engineering solution is to either fully automate a (sub)task or to support the human with alerting systems. Both approaches have inherent limitations, widely described in literature (e.g., Pritchett, 2001; Sheridan, 2002). Recently, an alternative solution is receiving increased attention: that of shared control. In the shared control paradigm, an intelligent system continually shares the control authority with the human controller. The idea behind shared control is to keep the human operator in the direct manual control loop, while providing continuous support. Shared control has been investigated for a wide range of applications, for example during the direct control of automobiles (e.g., Griffiths & Gillespie, 2005; Mulder et al., 2008a&b) and aircraft (e.g., Goodrich et al., 2008), or during tele-operated control to support gripping (Griffin et al., 2005), surgery (e.g, Kragic et al., 2005), micro-assembly (e.g, Basdogan et al., 2007) or the steering of unmanned aerial vehicles (e.g., Mung et al., 2009).
On continuous control of PWM inverters in the overmodulation range including the six-step mode

The power output and the dynamic performance of pulse width modulation (PWM)-controlled AC motor drives can be improved by increasing the inverter output voltage through overmodulation. Two different solutions are proposed to increase the output voltage in a continuously controllable fashion up to the maximum possible value, which is reached in the six-step mode. The solutions differ in their approach. A space vector strategy is used for high dynamics performance high switching frequency drives, while a field-oriented PWM method is used for low switching frequency high power inverters. The methods are described and analyzed, and experimental results are presented. <<ETX>>