Miracle-dz/UniFAR-FTUs huggingface dataset:
Low-Stray Inductance Optimized Design for Power Circuit of SiC-MOSFET-Based Inverter

High frequency converters based on silicon carbide (SiC) semiconductors are becoming popular, but due to the integration parameters, they are very likely to generate high voltage overshoot and large oscillation, which increase the voltage stress and cause EMC problems. To suppress the voltage overshoot and oscillation, the mechanism is firstly analyzed. Stray inductance is a culprit in causing these problems. To minimize the inductance of power circuit, this paper proposes optimization method including better design of bus-bar structure and parallel connection of snubber capacitors by means of model analysis and formula derivation. To evaluate the method, an inverter model and a prototype were built, several optimization schemes were compared by co-simulation and experimental tests. Experimental results show that the stray inductance of the new bus-bar is 6.4% of the traditional bus-bar. The loop-inductance can be reduced by 46.4% by connecting the capacitors in parallel, and the switching losses can be reduced by 30.8%. This analysis provides guidelines for a full SiC inverter design.
Effective Capacity Analysis over Generalized $\alpha-\eta-\mu$ fading channel

Effective capacity (EC) is considered as an important metric for addressing delay sensitive applications of the present wireless communication system with suitable delay exponent. With the present motivation, this paper investigates the EC analysis over generalized $\alpha-\eta-\mu$ fading channel by taking channel state information uncertainty into consideration. A novel closed-form expression for the EC is derived in terms of bivariate Fox's H-function using well-known probability density function (PDF) approach. The proposed analytical structure is of generalised nature and it can apply to different propagation environments. To validate the accuracy of the proposed analytical formulations, results have been compared with the Monte-Carlo simulation.
Study on correlation of type2 diabetic combined with blood glucose fluctuations in patients with coronary heart disease and coronary artery lesions

Objective To discuss the impact of glucose excursion on coronary artery stenosis in type 2diabetic patients with coronary heart disease.Methods Eighty patients diagnosed with type 2diabetic during June 2013 to March 2014 were selected as the research cases.50cases(28males and 22females),aged(61.73±4.36)years were merged with coronary heart disease(group CHDDM),and 30cases(male 19 cases and 11females),aged(62.11±2.65)years were not merged with coronary heart disease(group DM). Continuous glucose monitoring system(CGMS)was used to monitor and calculate the CGMS parameters of all patients in 72 hours,such as mean amplitude of glycemic excursions(MAGE),the largest amplitude of glycemic excursions(LAGE),mean postprandial glucose excursion(MPPGE),absolute means of daily differences(MODD),meanwhile measure the levels′of high mobility group proteins(HMGB1)and von willebrand factor(vWF). Comparson of the levels of HMGB1,vWF and blood glucose fluctuation parameters between the two groups was performed,and then analysis of the correlations among blood glucose fluctuation parameters,clinical biochemical and Gensini score was done.Results When compared with group DM,levels of disease course,MAGE,LAGE,MPPGE,MODD,HMGB1,vWF in group CHDDM were higher(P0.05). According to the Gensini scores,CHDDM group was divided the into A,B,C groups and among the 3groups,the difference was statistically significant(P0.05). The levels of MAGE,LAGE,MPPGE,MODD,HMGB1,vWF in group B and C was significantly higher than group B(P0.05),meanwhile,the difference between group C and group B was also statistically significant(P0.05). Correlation analysis showed that the levels of MAGE,LAGE,MODD,MPPGE,vWF,HMGB1,age,TC in CHDDM group was significantly related to the Gensini score(r=0.267,0.529,0.533,0.341,0.635,0.691,0.226,0.106,P0.05). Multiple stepwise regression analysis showd that MAGE,vWF,HMGB1 were dependent risks to Gensini score(Y=342.865+35.117MAGE+14.821HMGB1+7.927vWF). Conclusion Blood glucose fluctuations have a certain relationship with type 2diabetic patients merged with coronary heart disease,and the mechanism may be caused by endothelial injury and inflammation.
A 100% solar-powered quadcopter with monocrystalline silicon cells

Although 100% solar-powered airplanes were first demonstrated many years ago, we now present a 100% solar- powered aircraft which can controllably hover high out of the ground effect, and take off and land vertically, with no energy storage device on board. Key engineering challenges associated with solar panel construction will be highlighted; in particular, nine different designs will be described. This achievement of solar-only take-off stably in a rotorcraft, without wings, has been a difficult engineering challenge in aviation, given that the weight and efficiency of current monocrystalline silicon solar cells necessitate a very light frame.
Integrating Collocation as TF-IDF Enhancement to Improve Classification Accuracy

The motivation of the study is to address the weakness of Term Frequency – Inverse Document Frequency (TF-IDF) in dealing with single terms because single terms can sometimes be vague. That is, a single term when used for indexing, could convey several interpretations. A single term can also be too general, in which, it doesn't have a discriminating power to differentiate terms such as from two individual terms such as "junior" and "college. " It is not enough to distinguish "junior college" from "college junior". Thus, this study aims to enhance TF-IDF by integrating collocation as a term feature. The collocated terms are extracted based on the determination of part-of-speech (POS) that forms specific patterns such as adjective + noun, noun + noun, noun + verb, etc. There are three (3) document classifiers which had been considered in this study. These classifiers will be subjected to traditional and modified TF-IDF are RandomForest, MultinomialNB (MultiNB), and SVM. The result of this experiment shows that integrating collocation as part of the enhancement of the TF-IDF process outperforms the traditional TF-IDF by an increase of up to 10 percent.
Utilization on Internet Of Things for Classroom Management System

The organization of lectures in the classroom requires a good arrangement so that available resources can be used efficiently. This paper describes the internet of things application for controlling classroom access according to the schedule. The system integrating the ID management system, the system configuration of classroom equipment, the dashboard monitoring system for classroom equipment and Academic System Information for scheduling. The system designed to prolong the lifetime of electronic equipment in the classroom and make electricity consumption more efficient as well as efforts for maintenance. In this system, RFID which is currently used as an identity on electronic attendance can also be used to access the classroom equipment. Sensors are also used to count the number of students who enter the classroom to control the temperature. Furthermore, it can record the student attendance. Raspberry Pi is used as a central controller device for classroom equipment and communicates with a central classroom information system
Detecting protein complex based on hierarchical compressing network embedding

Detecting protein complexes from protein-protein interaction (PPI) networks provides biologists an opportunity to efficiently understand the cellular organizations and functions. Existing computational methods just focus on mining high-density regions as the protein complexes by searching the local topological information of a PPI network and ignore the global topological information. To address this limitation, in this study, we present a novel protein complex detection method based on hierarchical compressing network embedding, named DPC-HCNE. The proposed method can preserve both the local topological information and global topological information of a PPI network. To evaluate the performance of our method, DPC-HCNE is compared with other eight typical clustering algorithms to detect protein complexes on two yeast datasets. The experimental results show that DPC-HCNE outperforms those state-of-the-art complex detection methods.
Prioritizing Factors Used in Designing of Test Cases: An ISM-MICMAC Based Analysis

This research attempts to prioritize the factors that are important for the designing of test cases. There are many researches done on making testing complexities easier such as by applying various algorithms, approaches and processes to make testing automated. There are techniques that have been applied to prioritize the test cases so that testing time can be reduced. Therefore, in this research we have considered some factors by taking advice of experts and by the help of literature in this field that are taken care of for designing of test case. We have applied a new methodology that is ISM (Interpretive Structural Modelling) with MICMAC analysis technique. This theory has been applied in various field like management, science etc. but in the field of software engineering we have tried to implement it for the first time. By the help of this we have prioritized the factors. The rank has been associated with all the factors as per the partitioning theory applied in ISM. A diagraph has been formed and an ISM model is developed that clearly differentiate the factors on the basis of ranks. Then a MICMAC analysis is performed on the ISM model, in which factors are differentiated on the basis of their dependence power and driver power. A graphical representation of MICMAC is done. And the factors have been prioritized.
A Optimized PPD CMOS Pixel with 26.09 % Transfer Efficiency Improvement and 43.34 % Crosstalk Suppression for I-ToF Application

The Pinned-Photodiode (PPD) pixel design for indirect Time-of-Flight (ToF) systems has been optimized by optimum doping profile in the transfer tunnel and deep trench isolation in this paper. The pixel is elaborated based on the TCAD process. In simulate the proposed pixel design, its performance of demodulation contrasts have improved 26.09% at the working frequency of 40 MHz with 850 nm incident light. Also, the number of crosstalk electrons has been suppressed by 43.34% by giving 4 um trench isolation in the proposed pixel design.
Recent Advances and Countermeasures Against Various Attacks in IoT Environment

Over the past some decennium, Internet technology experienced flying growth, extremely in the Internet of Things (IoT). The current improvements that have changed the means of people living, says Smart devices that are able of contacting anybody, anytime and anywhere. In contrast with traditional Internet, an IoT tie sizeable machines, humans, resource-strained gadget/devices and sensors over miscellaneous wired and wireless networks. In this paper, we presented a survey on security of IoT and analyzed the recent, primary concerns that relate to it. This paper probes the security goals of IoT, provides a classification of attacks with their correction, on the basis of layers. The main aim is to find how, when, and why an IoT was compromised or involved in commitment with attack.
IOT Based Smart Water And Environment Management System Of Paddy Rice At Different Growth Stages

Farmers have always invested more than enough time for farming, which, in many cases, has not proven to be fruitful. Paddy rice farmers invest a lot of labor, time and capital only to get a little amount of profit. In many countries like Bangladesh, farmers have complained that they are not able to get the right amount of profit compared to the effort they are putting to grow paddy rice. Our proposed system takes this issue into concern. It encouraged us to create a system which will not only assist the farmers to grow rice but will also consider the little environmental factors and react to them automatically, keeping the farmers away from the rice fields. The farmers can therefore invest this valuable time somewhere else. The system does this by watering the rice plant according to their needs at different growth stages using a water pump. It also controls the temperature and maintains it within a narrow range using electric bulbs and fans. Moreover, this is an IoT based system which actively checks pH of the soil, sends the data to cloud and if the pH is out of range, then it will notify the farmer using the IFTTT application. Furthermore, since this data is being published to the cloud, this could be of real help for geologists as they constantly seek soil quality data of different areas.
Cooking Microwave Filters: Is Synthesis Still Helpful in Microwave Filter Design?

In "Recipe for Cooking Microwave Filters," we show the classic recipe for "cooking" with narrow-or moderate-bandwidth microwave filters.While the result of this recipe is generally effective [1] (the "cake" is only rarely not edible), the tendency of some "cooks" (often young microwave engineers) is to jump to the last two steps as quickly as possible. In fact, they consider the first two steps to be less important and definitely not necessary to obtain a filtering structure that satisfies the requirements. This approach is partially justified by the increasingly shorter times to market that the final product-the filter-requires in a business such as global telecommunications, where competition has become a fight to the death.
Clinical named-entity recognition: A short comparison

The adoption of electronic health records has increased the volume of clinical data, which has opened an opportunity for healthcare research. There are several biomedical annotation systems that have been used to facilitate the analysis of clinical data. However, there is a lack of clinical annotation comparisons to select the most suitable tool for a specific clinical task. In this work, we used clinical notes from the MIMIC-III database and evaluated three annotation systems to identify four types of entities: (1) procedure, (2) disorder, (3) drug, and (4) anatomy. Our preliminary results demonstrate that BioPortal performs well when extracting disorder and drug. This can provide clinical researchers with real-clinical insights into patient's health patterns and it may allow to create a first version of an annotated dataset.
Partitioning FPGA-Optimized Systolic Arrays for Fun and Profit

We can improve the inference throughput of deep convolutional networks mapped to FPGA-optimized systolic arrays, at the expense of latency, with array partitioning and layer pipelining. Modern convolutional networks have a growing number of layers, such as the 58 separable layer GoogleNetv1, with varying compute, storage, and data movement requirements. At the same time, modern high-end FPGAs, such as the Xilinx UltraScale+ VU37P, can accommodate high-performance, 650 MHz, layouts of large 1920x9 systolic arrays. These can stay underutilized if the network layer requirements do not match the array size. We formulate an optimization problem, for improving array utilization, and boosting inference throughput, that determines how to partition the systolic array on the FPGA chip, and how to slice the network layers across the array partitions in a pipelined fashion. We adopt a two phase approach where (1) we identify layer assignment for each partition using an Evolutionary Strategy, and (2) we adopt a greedy-but-optimal approach for resource allocation to select the systolic array dimensions of each partition. When compared to state-of-the-art systolic architectures, we show throughput improvements in the range 1.3-1.5x and latency improvements in the range 0.5-1.8x against Multi-CLP and Xilinx SuperTile.
A low-cost, compliant, underactuated prosthetic hand with custom flex sensors for finger bending estimation

Access to quality prosthetics to aid in daily activities is a privilege of only 5 % of those in need of such equipment. It is noted that the high cost of these, associated with the lack of skilled labor, are two of the factors that aggravate the situation. Thus, the need for cost-effective prosthetic technologies, targeting the population of developing countries, is observed. Inspired by this problem, this paper presents the process of conceptual study, design, and prototyping of a low-cost prosthetic hand that is compliant and underactuated. The hand has a wrist of two degrees of freedom, and five independently actuated fingers. One of the main contributions of this work is the design of a low-cost optoelectronic sensor for the finger's curvature estimation.
Reversible Data Hiding Based Key Region Protection Method in Medical Images

The transmission of medical image data in an open network environment is subject to privacy issues including patient privacy and data leakage. In the past, image encryption and information-hiding technology have been used to solve such security problems. But these methodologies, in general, suffered from difficulties in retrieving original images. We present in this paper an algorithm to protect key regions in medical images. First, coefficient of variation is used to locate the key regions, a.k. a. the lesion areas, of an image; other areas are then processed in blocks and analyzed for texture complexity. Next, our reversible data-hiding algorithm is used to embed the contents from the lesion areas into a high-texture area, and the Arnold transformation is performed to protect the original lesion information. In addition to this, we use the ciphertext of the basic information about the image and the decryption parameter to generate the Quick Response (QR) Code to replace the original key regions. Consequently, only authorized customers can obtain the encryption key to extract information from encrypted images. Experimental results show that our algorithm can not only restore the original image without information loss, but also safely transfer the medical image copyright and patient-sensitive information.
Smart City IoT Platform Respecting GDPR Privacy and Security Aspects

The Internet of Things (IoT) paradigm enables computation and communication among tools that everyone uses daily. The vastness and heterogeneity of devices and their composition offer innovative services and scenarios that require a new challenging vision in interoperability, security and data management. Many IoT frameworks and platforms claimed to have solved these issues, aggregating different sources of information, combining their data flows in new innovative services, providing security robustness with respect to vulnerability and respecting the GDPR (General Data Protection Regulation) of the European Commission. Due to the potentially very sensible nature of some of these data, privacy and security aspects have to be taken into account by design and by default. In addition, an end-to-end secure solution has to guarantee a secure environment at the final users for their personal data, in transit and storage, which have to remain under their full control. In this paper, the Snap4City architecture and its security solutions that also respect the GDPR are presented. The Snap4City solution addresses the full stack security, ranging from IoT Devices, IoT Edge on premises, IoT Applications on the cloud and on premises, Data Analytics, and Dashboarding, presenting a number of integrated security solutions that go beyond the state of the art, as shown in the platform comparison. The stress test also included the adoption of penetrations tests verifying the robustness of the solution with respect to a large number of potential vulnerability aspects. The stress security assessments have been performed in a piloting period with more than 1200 registered users, thousands of processes per day, and more than 1.8 million of complex data ingested per day, in large cities such as Antwerp, Helsinki and the entire Tuscany region. Snap4City is a solution produced in response to a research challenge launched by the Select4Cities H2020 research and development project of the European Commission. Select4Cities identified a large number of requirements for modern Smart Cities that support IoT/IoE (Internet of Things/Everything) in the hands of public administrations and Living Labs, and selected a number of solutions. Consequently, at the end of the process after 3 years of work, Snap4City has been identified as the winning solution.
A Big Data Approach for Health Data Information Retrieval

In this paper we address the problem of analyzing biomedical data collection with the purpose of searching for semantic similarity among textual documents. In details, we leverage Word Embeddings models obtained by word2vec algorithm and a specific Big Data architecture for their management, defining an approach able to permit the retrieving of semantic similar texts among a huge biomedical text corpus. The proposed architecture has been developed with the purpose of improving a previous implementation, lowering the computational time and allowing in this way the use of the whole PubMed library as dataset, proving also the usability of this methodology in a real context.
Machine Learning and Advanced Analytics in Tax Fraud Detection

We all are passing through Big Data Renaissance right now. Academic literature shows increasing interest to subject of application of Big Data technology to cross-sectoral business and relevant scientific research. But portion of research papers devoted to application of Big Data to Taxation is relatively small, despite of the fact that tax generates huge amounts of Data and has enormous potential to benefit from Big Data Analytics. This paper is a conceptual approach to build theoretical and methodological foundation for Data Analytics application in taxation. It is described how tax authorities can benefit from their operational data. Primary prerequisites for efficient application of Advanced Data Analytics are revealed.
Optimization and Performance matrices in 5G Networks

Everybody loves a faster reliable internet with a higher band, so it's pretty much understandable that every International telecommunication company in the world is striving hard to make it even more faster. Devices such as Watches, Smartphone's, homes, and cars require a highly stable & a reliable internet connection. Speed changes in every second in the world. So, there is a need of more improvement in technology and fifth generation (5 G) is new technology to explore. In the near future, Quality of service (QoS), improved capacity, increased data rate, and reduced latency are the important parameters which should be taken care. To cater these requirements, cellular architectures of 5 G networks need development on large scale. In this paper, the 5 G wide area radio access wireless technology and some of its essential emerging technologies will be focused which will be useful in civilizing the architecture and meeting the needs of every user. The current needs such as high data rate, low latency, high QoS can be easily met with the emerging 5 G network. So by this paper we have tried to show some light on the understanding of the technological aspects of the 5 G network. Beyond this we will be discussing on the details such as Massive Multiple Input Multiple Output (MIMO) and Device to Device (D2D) Technology.