Miracle-dz/UniFAR-FTUs huggingface dataset:
Selective Harmonic Elimination with Particle Swarm Optimization in Multilevel Inverters

This paper presents a heuristic approach to overcome the harmonic elimination problem in multilevel inverters. Particle Swarm Optimization is applied to solve the transcendental equations characterizing the harmonic contents so as to eliminate some lower order harmonics while producing the required fundamental voltage. The optimum switching angles are determined for a unipolar and fundamental frequency switching scheme. This technique can be used for any multilevel inverters with any number of levels; as an example in this paper, 7 and 11-level cascaded inverters are considered. The possible solution sets in linear modulation range are given for both inverters and the computational results are validated with the simulation studies. The obtained results show that the method does effectively suppress any number of specific harmonics and the output voltage waveform has low total harmonic distortion.
Design and Development of Pokemon Information Center Using Restful WebServices Based on Android

In recent, gaming craze is increased by analyzing individualize games. The conclusion arises that Pokémon is a high percentage played game. POKETAB-Pokémon Information Centre is analyzing the term Pokémon and providing the information about the Pokémon, In today's environment, the Pokémon lovers have to deal with problems like they don't even know about the Pokemou's name, generation, its power. Single game players like Pokemon Go players unable to identify the pokemon places as a wide virtual space is provided in game and unfortunately loose the levels of game. In some situations players couldn't find the particular Pokémon information while playing the games. If player wants to play the game they should know the powers of Pokemon, We proposed the system which is commixing the enhancement for Pokémon information by using the restful web services in combination with JSP and creating an android mobile application so that it becomes information provider for the Pokémon game players.
Providing mental health peer support 2: Relationships with empowerment, hope, recovery, quality of life and internalised stigma

Objective: Qualitative research has identified personal costs and benefits for peer supporters associated with their role; however, quantitative evidence is sparse. This study used quantitative methods to explore relationships in experiences of providing peer support with constructs of empowerment, hope, recovery, quality of life and internalised stigma. Differences were examined for those in statutory versus non-statutory services; who had themselves received peer support versus those who had not and who identified having had negative experiences in clinical teams versus those without such experiences. Methods: A cross-sectional online and postal survey was undertaken in tandem with a linked consensus study. In all, 147 peer supporters were recruited from a variety of organisations across the United Kingdom. Validated questionnaires were used to examine constructs. Instruments created for the study measured peer support experiences, and personal costs and benefits involved. Correlations were calculated and results informed further regression analysis. Chi-square tests and independent samples t-tests tested group differences. Results: Peer supporters indicated they experienced almost twice as many role-related personal benefits than personal costs. Benefits included improvements to mental health and well-being, reduced use of services, increased social functioning and development of skills. Total number of personal costs experienced was significantly negatively related to peer supporters’ empowerment and quality of life. There were no significant differences between the groups examined. Conclusions and Implications for Practice: An accumulation of personal costs may result in reduced quality of life; however, costs can be minimised by organisations. Limitations of the research are discussed and recommendations for future research are made including the need for longitudinal research.
Survey of Snaring Cyber Attacks on IoT Devices with Honeypots and Honeynets

Internet of things is a buzzword of this era, which tries to correlate digital gadgets that we have currently. Internet became the backbone of numerous things, these things are interconnected uniquely in existing internet infrastructure that is called as Internet of Things (loT). Due to wider implementation of loT, devices are prone to Cyber-attacks. Due to increasing attacks on devices, security becomes a pivotal issue. To beat those attacks, concept of honeypot is implemented in loT. Honeypot is the security resource frame up to act like decoy to allure attackers. But this mechanism focuses only on single system, whereas Honeynet is the network of high interaction Honeypots. This survey provides the implementation of honeypot and honeynet in different scenarios for counteracting these attacks. This research focuses on how we can prevent the cyber-attacks in IoT Devices and still be able to analyze it using deception.
AF-Softmax for Face Recognition

In order to make facial features more discriminative, some loss functions have been proposed recently. However, these loss functions are not very robust when categories are imbalanced or many easy examples dominate training losses. To overcome these shortcomings, we propose angular focus softmax (AF-Softmax) loss by introducing a focusing factor to lessen the losses attached to those well-classified examples. We refer to our model trained with AF-Softmax loss as AF-Face. To test our approach, we conduct extensive experiments on Youtube Faces (YTF) [8] and Labeled Face in the Wild (LFW) [13] and achieve better performance than SphereFace [9]. These experiments confirm the effectiveness of AF-Softmax on face recognition task.
Efficiently Approximating Edit Distance Between Pseudorandom Strings

We present an algorithm for approximating the edit distance ed(x, y) between two strings x and y in time parameterized by the degree to which one of the strings x satisfies a natural pseudorandomness property. The pseudorandomness model is asymmetric in that no requirements are placed on the second string y, which may be constructed by an adversary with full knowledge of x. We say that x is (p, B)-pseudorandom if all pairs a and b of disjoint B-letter substrings of x satisfy ed(a,b) ≥ pB. Given parameters p and B, our algorithm computes the edit distance between a (p, B)-pseudorandom string x and an arbitrary string y within a factor of O(1/p) in time O(nB), with high probability. If x is generated at random, then with high probability it will be (Ω(1),O(logn))-pseudorandom, allowing us to compute ed(x, y) within a constant factor in near linear time. For strings x of varying degrees of pseudorandomness, our algorithm offers a continuum of runtimes. Our algorithm is robust in the sense that it can handle a small portion of x being adversarial (i.e., not satisfying the pseudorandomness property). In this case, the algorithm incurs an additive approximation error proportional to the fraction of x which behaves maliciously. The asymmetry of our pseudorandomness model has particular appeal for the case where x is a source string, meaning that ed(x, y) will be computed for many strings y. Suppose that one wishes to achieve an O(α)-approximation for each ed(x, y) computation, and that B is the smallest block-size for which the string x is (1/α, B)-pseudorandom. We show that without knowing B beforehand, x may be preprocessed in time [MATH HERE], so that all future computations of the form ed(x,y) may be O(α)-approximated in time O(nB). Furthermore, for the special case where only a single ed( x, y) computation will be performed, we show how to achieve an O(α)-approximation in time O(n4/3B2/3).
Position-Based Scheme for Multi-Hop Routing Protocol in Cluster-Based Wireless Sensor Networks

Wireless sensor networks (WSN) are commonly formed by distributed sensor nodes equipped with wireless transmitter with limited bandwidth, computation power and battery sources. WSN are generally developed for wild life, military or environmental monitoring etc. These facts have highlighted challenges to minimize energy consumption of sensor nodes while still maintaining the goal of WSN developments. In this paper, an integration of cluster-based and position based routing protocols for multi-hop scenarios is proposed. The self-organized clusters are formed periodically where decision to become cluster head (CH) is performed individually by each node. Direct long communication between selected CH to sink node is avoided to preserve energy and minimize impact of overhearing transmission. Accordingly, a multi-hop communication scheme which adopts position based routing is applied. The proposed approach has been developed and tested using wireless simulation framework. It shows that the proposed approach can increase remaining battery energy, increase packet delivery ratio and reduce the number of dead nodes in various simulation settings.
Quranic Concepts Similarity Based on Lexical Database

We conducted a semantic similarity study of semantic concepts in the context of the Holy Book Quran. Semantic similarity examines the degree of likeness and shared common properties of two concepts. For example, the Quranic concept of Allah and God will result in a high score of semantic similarity, whereas hell and paradise will yield in a low score because of its extremely different attributes and semantic features. Apart from that, we also delivered the Quranic concept semantic similarity standard dataset which consists of some pairs of Quranic concept along with its similarity score, which was manually annotated by human raters. This dataset resulted in the score of inter-annotator agreement 0.63, not far from the the ones yielded by some well-known datasets such as WordSim and Simlex. Furthermore, to measure the semantic similarity score, we chose the knowledge-based approach by utilizing lexical database properties such as the length and depth of a synonym set (synset). We then applied it to Yuhua Li equation, which has been considered to be the baseline among researchers within the problem of semantic similarity. In terms of the result, our system gained Pearson's correlation 0.33 and Spearman's 0.19. By considering inter-annotator agreement 0.63 that our Quranic standard dataset has as the upper bound score, there are still quite large room for improvement to better mimicking Muslim's intuition to measure the degree of similarity of concepts within the domain of Quran.
Analysis of Precision of Estimated Signal Values by Wiener Smoothing on the Paired Transform Coefficients

Precision is measure of informativeness of a numerical value. We propose that noise removal operation on the linearly transformed coefficients, by the optimization of minimum-mean squared error, $e_{min}^{2}$, increases the average precision of reconstructed signal values. This is proved in the case of smoothing of noisy signals by Wiener filtration by considering two base approaches - A. using a single filter, $H(f)$ and, B. using a set of Wiener filters, $\{H_{p}(f)\}$ to process splitting-signals which are the coefficients of transformation of the signal by using the paired transformation. The achieved average precision of the estimated values in the case of approach-B is 2-bits greater than the precision that can be obtained by approach-A, by virtue of large values resulting in the arithmetic. Due to increase in precision, the error, $e_{min}$ is reduced. The error caused by reconstruction is not the investigated in this paper.
Revisiting Software Defined Radios in the IoT Era

Several years ago, software radios were seen as the future of commercial wireless infrastructure, given that they could flexibly decode any wireless technology with a simple software update. Yet, despite their numerous advantages, the industry tilted in favor of dedicated chips for wireless infrastructure sacrificing generality for performance. Today, the advent of the Internet of Things (IoT) and the resulting fragmentation of wireless technologies has led to a new billion-dollar industry: multi-technology gateways that support many radio technologies. Predictably, commercial gateways do this through multiple radio chips each decoding dedicated wireless technologies. This paper argues that software radios deserve a revisit in the IoT era. Specifically, IoT wireless technologies have significantly lax requirements in terms of throughput, latency and cost, meaning that they can be implemented on cheap software radio gateways that offer extensibility through software updates. We propose GalioT, a cloud-assisted IoT gateway that demonstrates the numerous benefits of software radios beyond programmability. We focus, in particular, on the rampant cross-technology interference in IoT networks since devices are low-power and simply "wake up and transmit". We use simple software radio base stations that detect signals including collisions of multiple radio technologies and ship them to the cloud. At the cloud, we exploit PHY-layer differences across radio technologies to concurrently decode them. A prototype implementation on an inexpensive RTL-SDR and Raspberry-Pi based gateway shows promising accuracy in concurrent decoding of XBee, Z-Wave and LoRa.
Hypermethylated in cancer 1 (HIC1) suppresses bladder cancer progression by targeting yes‐associated protein (YAP) pathway

Bladder cancer (BCa) is the most common malignant tumor in the urinary system. Growing evidence suggests that as a tumor suppressor gene, hypermethylated in cancer 1 (HIC1) is correlated with various malignancies in the modulation of tumor progression. This study aims to investigate the effect of HIC1 on regulating the proliferation, migration, and invasion of BCa.
Process Variation Detection and Self-Calibration Method for High-Speed Serial Links

Transmitters' output signal correction is very important for high speed serial link standards such as Universal Serial Bus (USB), X Attachment Unit Interface (XAUI), Peripheral Component Interconnect (PCI), Double Data Rate (DDR) etc. Day by day interface speed is increasing so some requirements become more affluent. For example, previously there were not necessity to have exactly the same rise/fall times, exact 50% duty cycle however nowadays there are. A method of designing the transmitter output driver which has independence from process variations is presented in this paper. The proposed architecture provides the equality between rise and fall times. System checks differences of speeds between NMOS and PMOS transistors and adding or removing parallel transistor accordingly to slowest or fastest one. As a result, output signal of transmitter has exactly the same rise and fall times regardless of process.
Design of a Power Flow Control Converter for Bipolar Meshed LVDC Distribution Grids

Flexible power flow control is one of the main challenges in the development of the meshed low voltage direct current distribution system. The most widely adopted approach to achieve flexible power control in the network is to use various solid-state based solutions which are rated for the peak power of the grid. In this paper, we propose a solution based on a converter which has several times smaller power rating than the grid power rating. Due to the multi-port nature of the proposed solution, it is well suited for the bipolar networks.
Design and Implementation of Automotive Cold Storage Unit for Potato Crop Using GSM

Agriculture is the backbone of modern India. Despite of being one of the leading producers of fruits and vegetables, the crop loss is increasing gradually in India. This is mainly due to the post production difficulties and the inefficiency of the cold storage units. Potato is the fourth largest produced crop in India and widely consumed all over the world. In this paper we provide a solution to monitor and maintain the healthy environmental conditions inside a cold storage unit specifically for the potato crop by developing a prototype model. This is done by continuously monitoring the required characteristics i.e., checking the suitable threshold range and updating the situation to the owner by sending SMS using GSM. The prototype model developed provides less error of about 1% and the system developed is capable of monitoring the conditions of temperature, humidity, light intensity and the detection of the rotting of potatoes in the early stage.
JoiNS: Meeting Latency SLO with Integrated Control for Networked Storage

Meeting latency SLOs (Service Level Objectives) in a networked storage environment is essential while challenging. In this environment, a storage request has to go through client I/O stacks, dynamically changing networks, and the storage system attached to a server. Its response also has to traverse all the way back to the client. Along this long I/O path, any of these components can become congested. The behavior of one component may affect the performance of the others. Isolated control on each component is not effective to meet latency SLOs of storage requests. In this paper, we propose and implement JoiNS, a system trying to guarantee latency SLO for applications that access data on a remote networked storage. JoiNS carefully considers all the components along the I/O path and controls them in a coordinated fashion. JoiNS has both global network and storage visibilities with a logically centralized controller which keeps monitoring the status of each involved component. JoiNS coordinates these components and adjusts the priority of I/O packets in each component based on the latency SLO, network and storage status, time estimation, and characteristics of each I/O request. We integrate Software Defined Network(SDN) into our system to coordinate with storage. Our evaluation shows JoiNS can achieve up to 6X speedup in this networked storage environment with various loads of background traffic.
The efficacy of resin infiltrate on the treatment of white spot lesions and developmental opacities

Objectives: The aim of this study was to evaluate the changes in opacities by applying resin infiltrate to developmental enamel opacities and applying resin infiltrate or fluoride varnish to white spot lesions (WSLs). Materials and Methods: A total of 132 teeth with WSLs and developmental enamel opacities were included in the study. WSLs were treated with resin infiltrate (Group 1) and fluoride varnish (Group 2), and developmental enamel opacities were treated with only resin infiltrate (Group 3). Lesions were evaluated in accordance with International Caries Detection and Assessment System (ICDAS II) criteria and DIAGNOdent Pen scores before applying the material (T0), just after the application (T1), and after 1 month (T2) and 3 months (T3). Results: A significant decrease in DIAGNOdent Pen scores was observed in all the groups and the most important decrease was seen in Group 2 (P < 0.05). A significant decrease in ICDAS II scores was observed in Groups 2 and 3 (T0–T1) and Group 1 (T1–T2) (P < 0.05). Conclusion: DIAGNOdent pen scores decreased and the lesion was partially masked after resin infiltrate was applied to treat developmental enamel opacities; the resin infiltrate application, however, was more successful than fluoride varnish on WSLs. Treating WSLs with resin infiltrate was a good option due to shorter term esthetic recovery and high patient satisfaction.
Automatic Vegetable Leaf Cutter Based on Matlab and Embedded Systems

In these times of modernization, use of artificially intelligent machines becomes the need of the day. Recent developments in science and technology have brought a revolutionary change in the way the machines operate. Automated machines reduces human efforts to a large extent. Plucking of leafy vegetables is a time consuming task in our day to day lives. We know that there are many products or machinery available in market for various purposes such as cutting, chopping of leafy vegetables. The demand of the amount of leafy vegetables to be cut for dishes always remains higher than the amount of consumption. A model has been proposed in this paper using image processing and embedded systems to help find out damaged or good leafy vegetables. This method finds out the amount of chlorophyll present in leaves and hence notifies us about the amount of nourishment present in those leafy vegetables. A robotic arm has been used to pluck the leafy vegetables and hence it saves time and effort. Plus it helps in restoring essential nutrients present in the leafy vegetables which are good for our consumption.
Life Cycle Identification and Analysis of Microblog hot Topics

Through the life cycle identification and feature analysis of hot topics, we can monitor the influence, spreading time and the development trend of it. So this technology provides support for monitoring the spread of network information, and is an important topic for early warning of Internet public opinion. [Method/Process] Based on the hot topic of microblog, this paper firstly constructs one hot topic by analyzing the different themes at each stage, the life intensity index and trend. Then, classified 75 to-pics that collected previously into five categories by SOM clustering algorithm. Finally, describe the characteristics of five life cycle curves through the macro-microscopic analysis. [Result/Conclusion] Empirical analysis shows that hot topics have features like short cycle, rapid growth, rapid decline, short maturity, and the vast majority of hot topics only have one peak, but not more than two peaks. At the same life cycle stage of the five curves, we find the life intensity index has some features in common, and put forward two indicators to describe the features. The result can be used to monitor the hot topics on internet.
Seasonal and spatial variation in the sediment bacterial community and diversity of Lake Bosten, China

To explore the influence of seasonal and regional environmental factors on the bacterial community composition (BCC) and diversity in the sediments of Lake Bosten, the 16S rRNA gene of sediment bacteria in four samples from the lake center area and the macrophyte‐dominated area were sequenced using 454 pyrosequencing. According to the operational taxonomic units (OTUs), diversity index, relative abundance, and redundancy analysis (RDA) of the bacteria, the results showed that (i) the bacterial diversity of the lake center area was lower than that of the macrophyte‐dominated area, and it was higher in winter than that in summer as a whole; (ii) seasonal factors and geographical changes had obvious effects on the abundance of dominant bacteria, including Proteobacteria and Firmicutes; (iii) a large number of unclassified bacteria were detected in this study, and the dominant unclassified genera in both lake areas included unclassified Sva0485, unclassified Anaerolineaceae, and unclassified Nitrospiraceae; and (iv) TN and TOC were the main environmental factors influencing the sediment bacterial community in Lake Bosten, as determined by RDA analysis. The study provides a reference for the in‐depth understanding the impact with the change of time and space on sediment microbes in Lake Bosten.