nils-herrmann/clean_scirepeval huggingface dataset:
An IOT based human healthcare system using Arduino uno board

Internet of Things (IOT) visualizes a future of anything anywhere by anyone at any time. The Information and communication technologies help in creating a revolution in digital technology. IOT are known for interconnecting various physical devices with the networks. In IOT, various physical devices are embedded with different types of sensors and other devices to exchange data between them. An embedded system is a combination of software and hardware where they are programmed for functioning specific functions. These data can be accessed from any parts of the world by making use of cloud. This can be used for creating a digital world, smart homes, healthcare systems and real life data exchange like smart banking. Though Internet of things has emerged long back, it is now becoming popular and gaining attention lately. In healthcare industry, some of the hospitals started using sensors implemented in the bed to get the status of patient's movement and other activities. This paper contains various IOT applications and the role of IOT in the healthcare system, challenges in the healthcare system using IOT. Also, introduced a secured surveillance monitoring system for reading and storing patient's details using low power for transmitting the data.
E-S-QUAL A Multiple-Item Scale for Assessing Electronic Service Quality

Using the means-end framework as a theoretical foundation, this article conceptualizes, constructs, refines, and tests a multiple-item scale (E-S-QUAL) for measuring the service quality delivered by Web sites on which customers shop online. Two stages of empirical data collection revealed that two different scales were necessary for capturing electronic service quality. The basic E-S-QUAL scale developed in the research is a 22-item scale of four dimensions: efficiency, fulfillment, system availability, and privacy. The second scale, E-RecS-QUAL, is salient only to customers who had nonroutine encounters with the sites and contains 11 items in three dimensions: responsiveness, compensation, and contact. Both scales demonstrate good psychometric properties based on findings from a variety of reliability and validity tests and build on the research already conducted on the topic. Directions for further research on electronic service quality are offered. Managerial implications stemming from the empirical findings about E-S-QUAL are also discussed.
Octopus: an RDMA-enabled Distributed Persistent Memory File System

Non-volatile memory (NVM) and remote direct memory access (RDMA) provide extremely high performance in storage and network hardware. However, existing distributed file systems strictly isolate file system and network layers, and the heavy layered software designs leave high-speed hardware under-exploited. In this paper, we propose an RDMA-enabled distributed persistent memory file system, Octopus, to redesign file system internal mechanisms by closely coupling NVM and RDMA features. For data operations, Octopus directly accesses a shared persistent memory pool to reduce memory copying overhead, and actively fetches and pushes data all in clients to re-balance the load between the server and network. For metadata operations, Octopus introduces self-identified RPC for immediate notification between file systems and networking, and an efficient distributed transaction mechanism for consistency. Evaluations show that Octopus achieves nearly the raw bandwidth for large I/Os and orders of magnitude better performance than existing distributed file systems.
A New Approach for Image Steganography Using Edge Detection Method for Hiding Text in Color Images Using HSI Color Model

The objective of the present project is to uses a new techniques for steganography in a HSI color cover images, which hides secret message in the edges of the carrier images using 2-bit LSB substitution for embedding. To get true edges, canny edge detection technique has been used. Amount of data to be embedded plays an important role on the selection of edges. The main advantage of using HIS color mode is that it produces a image with a significantly larg file size hence we hide large amount of secrete message Experimental results have shown that the proposed technique performs better and higher embedding capacity.
An optimized MPPT circuit for thermoelectric energy harvester for low power applications

A novel approach of maximum power point tracking (MPPT) control method for thermoelectric generator (TEG) is reported in this paper. The maximum power point tracking is achieved by using impedance matching principle. Unlike the existing MPPT methods, the proposed implementation does not require any voltage and current sensors and computations of any nature. The implementation of the MPPT control circuit is carried out using buck-boost DC/DC converter and a simple gating signal generator using only one Op-amp. The proposed method needs the least power consumption of the MPPT control circuit — less than 250μW. Experimental tests results obtained from series connected 3×TEGs (24 mm × 6 mm) show an average power harvesting of 5.6mW at ΔT of 24°C. The proposed thermoelectric energy harvester is used to power a battery which subsequently feeds a sensor node. The low power thermoelectric energy harvester system provides an overall power management circuit efficiency of up to 85%. The efficiency calculation takes care of power losses in the MPPT circuit.
Direct Desktop Printed-Circuits-on-Paper Flexible Electronics

There currently lacks of a way to directly write out electronics, just like printing pictures on paper by an office printer. Here we show a desktop printing of flexible circuits on paper via developing liquid metal ink and related working mechanisms. Through modifying adhesion of the ink, overcoming its high surface tension by dispensing machine and designing a brush like porous pinhead for printing alloy and identifying matched substrate materials among different papers, the slightly oxidized alloy ink was demonstrated to be flexibly printed on coated paper, which could compose various functional electronics and the concept of Printed-Circuits-on-Paper was thus presented. Further, RTV silicone rubber was adopted as isolating inks and packaging material to guarantee the functional stability of the circuit, which suggests an approach for printing 3D hybrid electro-mechanical device. The present work paved the way for a low cost and easygoing method in directly printing paper electronics.
Flickr Circles: Aesthetic Tendency Discovery by Multi-View Regularized Topic Modeling

Aesthetic tendency discovery is a useful and interesting application in social media. In this paper we propose to categorize large-scale Flickr users into multiple circles, each containing users with similar aesthetic interests (e.g., landscapes). We notice that: (1) an aesthetic model should be flexible as different visual features may be used to describe different image sets; (2) the numbers of photos from different Flickr users vary significantly and some users may have very few photos; and (3) visual features from each Flickr photo should be seamlessly integrated at both low-level and high-level. To meet these challenges, we propose to fuze color, textural, and semantic channel features using a multi-view learning framework, where the feature weights are adjusted automatically. Then, a regularized topic model is developed to quantify each user's aesthetic interest as a distribution in the latent space. Afterward, a graph is constructed to describe the discrepancy of aesthetic interests among users. Apparently, densely connected users are with similar aesthetic interests. Thus, an efficient dense subgraph mining algorithm is adopted to group Flickr users into multiple circles. Experiments have shown that our approach performs competitively on a million-scale image set crawled from Flickr. Besides, our method can enhance the transferal-based photo cropping [40] as reported by the user study.
Comparative Analysis of 28 T Full Adder with 14 T Full Adder using 180 nm

Full adder is the basic block of arithmetic circuit found in microcontroller and microprocessor inside arithmetic and logic unit (ALU). Improvement of the adder is thus essential for upgrade the performance of those circuits where adder is employed. Full adders, till now, have been designed using wide range of structures for improvement of various parameters like power consumption, speed performance and structure size. This paper described a comparative analysis of 28T and 14T full adder with the aim of increasing power efficiency and reducing structure size at 180nm technology. In this paper, the simulation results have been obtained for power by varying different parameters of the designed circuit using 180nm technology with Empyrean Aether. KeywordsFull Adder, Low Power, Cache Memory, Arithmetic Operation, Leakage Power
Comparison of Two β-Alanine Dosing Protocols on Muscle Carnosine Elevations.

β-alanine (BA) is a nonproteogenic amino acid that combines with histidine to form carnosine. The amount taken orally in individual doses, however, is limited due to symptoms of paresthesia that are associated with higher doses. The use of a sustained-release formulation has been reported to reduce the symptoms of paresthesia, suggesting that a greater daily dose may be possible. The purpose of the present study was to determine whether increasing the daily dose of BA can result in a similar increase in muscle carnosine in a reduced time.



Eighteen men and twelve women were randomized into either a placebo (PLC), 6-g BA (6G), or 12-g BA (12G) groups. PLC and 6G were supplemented for 4 weeks, while 12G was supplemented for 2 weeks. A resting blood draw and muscle biopsy were obtained prior to (PRE) and following (POST) supplementation. Plasma and muscle metabolites were measured by high-performance liquid chromatography. The loss in peak torque (ΔPT) was calculated from maximal isometric contractions before and after 250 isokinetic kicks at 180°·sec-1 PRE and POST.



Both 12G (p = 0.026) and 6G (p = 0.004) increased muscle carnosine compared to PLC. Plasma histidine was decreased from PRE to POST in 12G compared to PLC (p = 0.002) and 6G (p = 0.001), but no group x time interaction (p = 0.662) was observed for muscle histidine. No differences were observed for any hematological measure (e.g., complete blood counts) or in symptoms of paresthesia among the groups. Although no interaction was noted in ΔPT, a trend (p = 0.073) was observed.



Results of this investigation indicate that a BA supplementation protocol of 12 g/d-1, using a sustained-release formulation, can accelerate the increase in carnosine content in skeletal muscle while attenuating paresthesia.
Mining Professional's Data from LinkedIn

Social media has become very popular communication tool among internet users in the recent years. A large unstructured data is available for analysis on the social web. The data available on these sites have redundancies as users are free to enter the data according to their knowledge and interest. This data needs to be normalized before doing any analysis due to the presence of various redundancies in it. In this paper, LinkedIn data is extracted by using LinkedIn API and normalized by removing redundancies. Further, data is also normalized according to locations of LinkedIn connections using geo coordinates provided by Microsoft Bing. Then, clustering of this normalized data set is done according to job title, company names and geographic locations using Greedy, Hierarchical and K-Means clustering algorithms and clusters are visualized to have a better insight into them.
A 6 Vpp, 52 dB, 30-dB Dynamic Range, 43 Gb/s InP DHBT Differential Limiting Amplifier

We report the design, fabrication and measurement of a 43 Gb/s differential limiting amplifier integrating a transimpedance amplifier (TIA) as input stage and a distributed amplifier (Driver) as output stage, realised in a 1.5-µm indium phosphide (InP) double heterojunction bipolar transistor (DHBT) technology. With a differential gain higher than 52 dB, the TIA-Driver provides a constant 6 Vpp differential output amplitude for an input amplitude ranging from 12.7 mVpp to 405 mVpp, achieving more than 30 dB of electrical dynamic range, for a power consumption of 2.7 W. Designed to be used between a photodiode and an electro-optical modulator, this circuit is well suited for optical-to-electrical-to-optical (O-E-O) wavelength converters at up to 43 Gb/s.
Clock feedthrough in CMOS analog transmission gate switches

An analysis of clock feedthrough in CMOS analog transmission gate (TG) switches is presented in this paper. The mechanism for clock feedthrough and a related model of a transmission gate switch are established in the current-voltage domain. A region map is developed for the TG switch during the period when both devices are turned off. The region map is further divided into zones. From these region and zone maps, the sign and relative magnitude of the clock feedthrough noise can be efficiently estimated for different signal levels. Placing the input voltage near half of the power supply voltage is a useful technique for minimizing clock feedthrough noise. A model of clock feedthrough noise as compared with SPICE simulations exhibits less than 3% error.
Kernel-Based Sensor Fusion With Application to Audio-Visual Voice Activity Detection

In this paper, we address the problem of multiple view data fusion in the presence of noise and interferences. Recent studies have approached this problem using kernel methods, by relying particularly on a product of kernels constructed separately for each view. From a graph theory point of view, we analyze this fusion approach in a discrete setting. More specifically, based on a statistical model for the connectivity between data points, we propose an algorithm for the selection of the kernel bandwidth, a parameter that, as we show, has important implications on the robustness of this fusion approach to interferences. Then, we consider the fusion of audio-visual speech signals measured by a single microphone and by a video camera pointed to the face of the speaker. Specifically, we address the task of voice activity detection, i.e., the detection of speech and nonspeech segments, in the presence of structured interferences such as keyboard taps and office noise. We propose an algorithm for voice activity detection based on the audio-visual signal. Simulation results show that the proposed algorithm outperforms competing fusion and voice activity detection approaches. In addition, we demonstrate that a proper selection of the kernel bandwidth indeed leads to improved performance.
Minutiae Extraction From Level 1 Features of Fingerprint

Fingerprint features can be divided into three major categories based on the granularity at which they are extracted: level 1, level 2, and level 3 features. Orientation field, ridge frequency field, and minutiae set are three fundamental components of fingerprint, where the orientation field and ridge frequency field are regarded as level 1 features and minutiae set as level 2 features. It is generally believed that level 1 features, especially orientation field, can be reconstructed from level 2 features, i.e., minutiae. However, it is still a question that if minutiae can be extracted from level 1 features. In this paper, we analyze the relations between level 1 and level 2 features using the frequency modulation (FM) model and propose an approach to extract minutiae from level 1 features (i.e., orientation field and frequency field). The proposed algorithm is evaluated on NIST SD27 and FVC2002 DB1 databases. The true detection rate (TDR) and false detection rate (FDR) of minutiae detection on NIST SD27 and FVC2002 DB1 are about 45% and 30% compared with manually marked minutiae, respectively, with level 1 features extracted at a block size of 16 pixels. When pixelwise orientation and frequency fields are available, TDR and FDR can reach 70% and 25%, respectively. With a smaller block size, the minutiae recovering accuracy can be even higher. Our quantitative and experimental results show the deep relationship between level 1 and level 2 features of a fingerprint.
Randomized, controlled trial of long-term moderate exercise training in chronic heart failure: effects on functional capacity, quality of life, and clinical outcome.

It is still a matter of debate whether exercise training (ET) is a beneficial treatment in chronic heart failure (CHF).



To determine whether long-term moderate ET improves functional capacity and quality of life in patients with CHF and whether these effects translate into a favorable outcome, 110 patients with stable CHF were initially recruited, and 99 (59+/-14 years of age; 88 men and 11 women) were randomized into 2 groups. One group (group T, n=50) underwent ET at 60% of peak &f1;O2, initially 3 times a week for 8 weeks, then twice a week for 1 year. Another group (group NT, n=49) did not exercise. At baseline and at months 2 and 14, all patients underwent a cardiopulmonary exercise test, while 74 patients (37 in group T and 37 in group NT) with ischemic heart disease underwent myocardial scintigraphy. Quality of life was assessed by questionnaire. Ninety-four patients completed the protocol (48 in group T and 46 in group NT). Changes were observed only in patients in group T. Both peak &f1;O2 and thallium activity score improved at 2 months (18% and 24%, respectively; P<0. 001 for both) and did not change further after 1 year. Quality of life also improved and paralleled peak VO2. Exercise training was associated both with lower mortality (n=9 versus n=20 for those with training versus those without; relative risk (RR)=0.37; 95% CI, 0.17 to 0.84; P=0.01) and hospital readmission for heart failure (5 versus 14; RR=0.29; 95% CI, 0.11 to 0.88; P=0.02). Independent predictors of events were ventilatory threshold at baseline (beta-coefficient=0.378) and posttraining thallium activity score (beta-coefficient -0.165).



Long-term moderate ET determines a sustained improvement in functional capacity and quality of life in patients with CHF. This benefit seems to translate into a favorable outcome.
Internet of Cloud: Security and Privacy issues

The synergy between the cloud and the IoT has emerged largely due to the cloud having attributes which directly benefit the IoT and enable its continued growth. IoT adopting Cloud services has brought new security challenges. In this book chapter, we pursue two main goals: 1) to analyse the different components of Cloud computing and the IoT and 2) to present security and privacy problems that these systems face. We thoroughly investigate current security and privacy preservation solutions that exist in this area, with an eye on the Industrial Internet of Things, discuss open issues and propose future directions.
Multiple Kinds of Paper Currency Recognition Using Neural Network and Application for Euro Currency

Up until now, we have developed banking machines for various kinds of paper currency using neural networks (NNs). In this paper, we report an enhanced neuro-recognition system to increase the more number of recognition patterns using axis-symmetrical mask and two image sensors. One sensor's purpose is discrimination for a known image and another one is exclusion for an unknown image. Concretely, we implement the proposed method to an experimental system, which has two sensors. And they are arranged on the up side and down side of the aisle, respectively. Finally, we apply this proposed method to Euro currency, which will be delivered in 2002 year, using its dummy. The effectiveness of the proposed method is shown, numerically.
Modeling and Enacting Complex Data Dependencies in Business Processes

Enacting business processes in process engines requires the coverage of control flow, resource assignments, and process data. While the first two aspects are well supported in current process engines, data dependencies need to be added and maintained manually by a process engineer. Thus, this task is error-prone and time-consuming. In this report, we address the problem of modeling processes with complex data dependencies, e.g., m:n relationships, and their automatic enactment from process models. First, we extend BPMN data objects with few annotations to allow data dependency handling as well as data instance differentiation. Second, we introduce a pattern-based approach to derive SQL queries from process models utilizing the above mentioned extensions. Therewith, we allow automatic enactment of data-aware BPMN process models. We implemented our approach for the Activiti process engine to show applicability.
Ultra high efficiency bidirectional dc-dc converter with multi-frequency pulse width modulation

An ultra high efficiency bidirectional dc-dc converter with multi-frequency pulse width modulation is proposed in this paper. This method selects a proper switching frequency instead of using detection of instantaneous current to achieve zero-voltage switching (ZVS). Since instantaneous current is not required, control loop instability and noise susceptibility issues can be avoided. The proposed approach allows ease of combining ZVS, multiphase interleaving, and coupled inductor techniques to achieve high efficiency over a wide load range. To verify the proposed approach, a 30 kW hardware prototype has been designed, fabricated and tested. Simulation and experimental results verify the effectiveness of the proposed approach in ZVS operation. Using precision meters and sensors, the efficiency was measured in a wide load range. From 10% to 100% load, the efficiency stays above 98% and peaks at 99.2%.
Thermal and electrical characterization of eWLB (embedded Wafer Level BGA)

Demand for Wafer Level Package (WLP) is being driven by the need to shrink package size and height, simplify the supply chain and provide a lower overall cost by using the infrastructure of a batch process. WLP is the upcoming future packaging technology. The driving factors for the implementation of this packaging technology are the low packaging and test cost, the excellent electrical and thermal performance, the ability to work with increasing interconnect density on chip side and the potential for integration of functionality. The increasing demand for new and more advanced electronic products with smaller form factor and superior functionality and performance, is driving the integration of functionality into the third dimension. There are some restrictions in possible applications for Fan-in (FI) WLPs since global chip trends tend toward smaller chip areas with an increasing number of interconnects. The shrinkage of the pitches and pads at the chip to package interface is happening much faster than the shrinkage at the package to board interface. This interconnection gap requires Fan-out (FO) packaging, where the package size is larger than the chip size in order to provide a sufficient area to accommodate the second level interconnect. eWLB is a type of FO-WLP that has the potential to realize any number of interconnects with standard pitches at any shrink stage of the wafer node technology. This paper will highlight some of the recent characterization works of thermal and electrical performance of eWLB package. The performance compared with other packaging format, i.e. FI-WLP and other array packages is discussed with simulation data. Based on computational fluidic dynamics (CFD) simulation, Θja of eWLB package is calculated and it was comparable with FI-WLP's. Thermal characterization activity is carried out to investigate the effect on eWLB configuration with power loading. Thin film based passives on the FO area (mold material) of the eWLB is also analyzed during electrical characterization. Due to the low-loss property of the mold material, plated Cu inductors showed high quality-factor (Q) performance. The mold material in FO area is not only used as a supporting substrate, but also serves as the package substrate, which allows the high-Q inductors to be implemented with other RF chips in one single package. In addition, parasitic (RLC) electrical performance results will be presented in this paper too.