Reviewerly/exHarmony huggingface dataset:
The Data Mining Support Vector Machine Algorithm used for Detecting and Forecasting of Crimes

Crime rate is expanding extremely more because of destitution and joblessness. With the current crime investigation techniques, officers need to invest a great deal of energy just as labor to recognize suspects and criminals. Anyway crime investigation procedure should be quicker and dynamic. As huge amount of data is gathered during crime investigation, data mining is a methodology which can be valuable in this viewpoint. Data mining is a procedure that concentrates valuable data from enormous amount of crime data with the goal that potential suspects of the crime can be recognized productively. Quantities of data mining techniques are accessible. Utilization of specific data mining system has more prominent impact on the outcomes acquired. So the exhibition of three data mining techniques will be analyzed against test crime and criminal database and best performing algorithm will be utilized against test crime and criminal database to recognize potential suspects of the crime. Data mining is a procedure of separating information from colossal amount of data put away in databases, data stockrooms and data archives. Clustering is the way toward consolidating data objects into gatherings. Here taken the Crime dataset from Chicago police website and implemented in MATLAB utilizing Support Vector Machine algorithm.
An Efficient Hardware Implementation of CNN-Based Object Trackers for Real-Time Applications

&lt;div&gt;The object tracking research continues to be active since long period because of the several real-world variations imposed in the tracking process, like occlusion, changing appearance, illumination changes and cluttered background. With wide range of applications, embedded implementations are typically pursed for the tracking systems. Although object trackers based on Convolution Neural Network (CNN) have achieved state-of-the-art performance, they challenge the embedded implementations because of slow speed and large memory requirement. In this paper, we address these limitations on the algorithm-side and the circuitside. On the algorithm side, we adopt interpolation schemes which can significantly reduce the processing time and the memory storage requirements. We also evaluate the approximation of the hardware-expensive computations aiming for an efficient hardware implementation. Moreover, we modified the online-training scheme in order to achieve a constant processing time across all video frames. On the circuit side, we developed a hardware accelerator of the online training stage. We avoid the transposed reading from the external memory to speed-up the data movement with no performance degradation. Our proposed hardware accelerator achieves 45.9 frames-per-second in training the fully connected layers.&lt;/div&gt;
De-noising of MRI Images in Wavelet Domain

Magnetic resonance imaging (MRI) is a diagnostic medical procedure that utilizes solid attractive fields and radio waves to deliver definite pictures of within the body. Extensive research has been completed into whether the attractive fields and radio waves utilized during MRI sweeps could represent a hazard to the human body. No proof has been found to propose there's a hazard, which means MRI outputs are one of the most secure restorative methodology accessible. MRI has several advantages which make it ideal in numerous situations, in particular, it can identify small changes of structures inside the body. The disadvantage is the noise that degrades the quality of the image. A threestep processing algorithm is proposed to reduce this noise. Here, first it includes soft thresholding in wavelet domain where the original image is divided into blocks that do not overlap. Then it includes restoration of the object boundaries and texture which are lost as a result of the first step and finally enhancing the image using CLAHE (Contrast Limiting Adaptive Histogram Equalization). It is then analyzed using the error parameters like peak signal to noise ratio and mean square error.
Implementing of Academic Text in Advanced Grammar Learning

Grammar has the main role in English language learning. It can be given the impact on English language skill mastery. The purposes of this study were to find deeply comprehending on grammar mastery using academic text. The method of study used one-group experimental design. Process of collecting data used observation and test. The data analysis used t-test paired two samples for means. The result of finding show that academic text gave more information deeply to identify English structure. Students have a significant increase in scores from the pre-test and post-test results. The results of this study also have implications for improving students' reading skills, especially at the level of reading comprehension and vocabulary mastery.
Preface

Welcome to 2021 11th International Conference on Applied Physics and Mathematics (ICAPM 2021), which should be held in Crowne Plaza Shanghai Fudan, Shanghai, China during February 1-3, 2021. Due to the unfolding coronavirus (COVID-19) outbreak and travel restrictions, and the safety of the participants, ICAPM 2021 was held virtually. In ICAPM 2021, we ran two keynote sessions of 45 minutes, two invited sessions of 20 minutes, and five online sessions of 90 minutes. The year of 2020 was a hard, sad &amp; disappointing year for all. COVID-19 cases around the world continue to rise, particularly with new variant strains, as a result of updated overseas government border requirements and as a further proactive safety measure to prevent the spread of COVID-19. Up until now, good news is COVID-19 vaccine has been used in few people, but current COVID-19 vaccine supply is not enough to vaccinate all people immediately. Due to the spread of COVID-19 this is the first virtual conference held by ICAPM. ICAPM 2021 was meetings taking place through a video communication tool with participants attending them remotely. ICAPM is organized by American Society for Research (ASR). It has been successfully held in 10 consecutive years since 2011, respectively. In the past four years, ICAPM 2017, ICAPM 2018, ICAPM 2019, and ICAPM 2020 Conference Proceedings have been archived into IOP Journal of Physics: Conference Series, Volumes 814 (2017), 1039 (2018), 1298 (2019), and 1593 (2020) indexed by ISI Web of Science (Conference Proceedings Citation Index (CPCI), Scopus, Engineering Information (EI), etc. The goals of ICAPM 2021 are threefold. First, it should provide a forum for the exchange of information between participants in this interdisciplinary meeting. Second, it should provide an opportunity to establish and renew personal relationships between participants. Finally, you might learn more about an innovative topic discussed in this meeting. Selected and important results will also publish in the peer-reviewed conference journals “Journal of Physics: Conference Series“. We express our thanks and appreciation to our keynote speaker Naoyuki Ishimura, Conference Chair of ICAPM 2020, Professor, Faculty of Commerce, Chuo University in Japan, and invited speakers Kuo-Chih Chuang, Associate Professor, Zhejiang University, China, Frank Gunzer, Professor and Head, Electronics Engineering Department, German University in Cairo, Egypt, and all the participants and committee members for all support to ICAPM 2021. All the Session Chairs are also appreciated for assisting in the organization of technical sessions. February 2021 Po-Liang Liu Professor and Head, Graduate Institute of Precision Engineering, National Chung-Hsing University, Taiwan pliu@dragon.nchu.edu.tw List of Committees, Conference Chairs, Program Chairs, Publicity Chairs, Technical Committees and this titles are available in this pdf.
Fraud Detection of Bus Ticket Sales by using Spatio Temporal Data Mining

Cheating in the sale of bus tickets is often found in transportation service providers who still use the conductor as a ticket seller on the bus. The high cost of supervision, lack of honesty, unification of the sales function and the ticket control function on the conductor makes this fraudulent practice a problem that companies must handle. By looking at the behavior of ticket sales for each individual through the method of spatio temporal clustering can detect fraudulent behavior that occurs. The bus ticket sales deception process is implemented in Bogor's Bus Rapid Transit (BRT). The results show that there are 3.2% of high-potential officers cheating ticket sales. By knowing the cheating behavior of ticket sales, the company can follow up with the policy so that cheating behavior does not become the company culture
Semi-autonomous Grasping System Based on Eye Movement and EEG to Assist the Interaction Between the Disabled and Environment

&lt;div&gt;Patients physically handicapped can't take care of &lt;/div&gt;&lt;div&gt;themselves. Helping them easily control the objects around them will reduce their psychological burden and social pressure. In this article, a semi-autonomous grasping system based on eye movement and EEG is presented to achieve this goal. Patient just needs to gaze the target object and keep focused, the manipulator will automatically move to its position and grasp it. Experimental results verify the reliability of the system. This system promotes the development of human-computer interaction system based on multi-sensor fusion.&lt;/div&gt;
Image Captioning with Complementary Visual and Textual Cues

Multi modality Image captioning
From Editor's desk

"From Editor's desk." COLLNET Journal of Scientometrics and Information Management, 13(1), pp. 1–2
Quantum Key Distribution and Chaos Bandwidth Effects on Impact Security of Quantum Communications

The influence of bias current on the bandwidth of chaotic signals in semiconductor lasers by optical feedback has been studied experimentally and numerically. The measured data reveal that the bandwidth increase when the system becomes chaotic and this chaotic signal has a broadband spectrum so it can be used as a carrier for the quantum key. Mixing chaotic signal and quantum key make a very small change in chaotic bandwidth that does not affect the security of data transmitted.
Color Image Compressor using Discrete Wavelet Transform and Block Based Image Coding

In the present time of sight and sound, the necessity of picture/video stockpiling and video playback, transmission for video conferencing, picture and video recovery and so forth are expanding exponentially. Thus, the need of better pressure innovation is consistently popular. Present day applications, notwithstanding high pressure proportion, additionally interest for proficient encoding and deciphering forms, with the goal that computational imperative of some continuous applications is fulfilled. Two broadly utilized spatial space pressure systems are discrete wavelet transform and multi-level block truncation coding (BTC). DWT method is used to stationary and non-stationary images and applied to all average pixel value of image. Muli-level BTC is a kind of lossy picture pressure strategy for greyscale pictures. In this,the unique picture is partitioned into squares and after that uses a quantizer to decrease the quantity of dark levels in each square while keeping up a similar mean and standard deviation. In this paper is studied of Multi-level BTC and DWT technique for gray and color image.
Electronic Speed Controller Based Quad Copter Controlled by Hand Gestures

To control a Quad copter by means of simply the use of hand gestures.It allows us to recommend a way to perform Human computer Interface.The concept is to extract an antique techniques of controlling a Quad copter using joysticks, computer controlled and so on.with more intuitive approach, that is, through controlling the Quad copter with the assist of hand gestures, for the user to make it greater user friendly,this makes the user not to study different instructions to control a Quad copter, where it can simply work on the hand gestures. Here we present an approach to achieve the illustrated idea by employing transmission of instruction through a Bluetooth module. A simple gyroscope helps inhelps in tracking hand gesture illustration. Command dedication corresponding to shown gestures and acting movement respectively.
SENTENCE FEATURE IN STUDENTS’ ACADEMIC WRITING (Case Study in Polytechnic of Tonggak Equator Pontianak)

Abstract: Academic writing is one type of writing that should be mastered by students in Polytechnic of Tonggak Equator Pontianak. Academic writing is very important because it functions as a way to express an idea or another way of communication in doing research. Academic writing is essential to process in writing academic articles. Moreover, writing skills are an important part of communication. Academic writing is a specific ability of communication to put writers’ ideas on paper, to organize their knowledge, and then how to make sentences become a paragraph. This research is descriptive qualitative research. The writer collected the data by giving instructions to the students to write an academic article. The respondents are 60 students who are the representative of the students from class A to F in semester 5. This semester is chosen because they have academic writing subject. The result of the research shows that the most crucial problem in writing a sentence in academic context by students of Polytechnic Tonggak Equator Pontianak is in the sentence category. In this problem, students are not able to vary their sentences in their paragraphs that might cause the quality of their sentence is not proficient.Keyword: Sentence Feature, Academic Writing, Politeknik Tonggak Equator Students
Enhancement of Security and Energy Efficiency in Cloud Computing

This paper focuses on the job scheduling in cloud environment. Here the task has been scheduled in cloud and fog. Cloud provides services to heavy application while fog provides service to lighter application. The job scheduler would be helpful to reduce burden of cloud and help in energy optimization. The jobs are scheduled according to their types and priority. Various job scheduling algorithm such as gang scheduling, FCFS and round robin mechanism have been discussed in this research for load balancing and improve the compilation time. The simulation has been made using Matlab on virtual machines.
Dependence on Blockchain Technology for Future Cybersecurity Advancement: A Systematic Analysis

Purpose-The aim of this research is to thoroughly analyze blockchain with respect to the role it plays in cybersecurity, and how this role may affect the future of blockchain and cybersecurity in future.Also, gaps are identified along with the shortcomings that cause these gaps.This research also identifies possible solutions to the gaps or issues.Method:the research approach used here is review of the literature.Other works that address various aspects of blockchain are analyzed in breadth to show its effectiveness.Results:-there is a great possibility that blockchain is one of the future's greatest cybersecurity solutions.Among the major issues include quantum computing, user habits, and conflicting interests.All these issues have various ways through which they can be addressed effectively in order to brighten the future of blockchain's applicability in cybersecurity.Conclusion: -blockchain, as it is, promotes fraud in cryptocurrency and therefore needs modification.Blockchain only needs reinforcement from technologies such as Artificial Intelligence and Machine learning to make it the future's most dependable cybersecurity provider.
Pedagogical Innovation and Methodology of Education in the Field of Information and Communication Education in Ukraine

The purpose of the article is to study the genesis, development and current state of information and communication models of education; the selection of the main types of information and communication paradigms, analysis of their shortcomings and advantages, the main principles. The paper describes the discussion issues concerning the issues of information and communication education in the historical section of the second half of the XX – the beginning of the XXI century. The methodological basis of the study consists of the historical-comparative method, methods of analysis and synthesis. To theoretical and methodological tools, we can also cite systemic and synergetic approaches. The scientific novelty lies in the fact that the question of the history of formation, the dynamics of development and the current state of information and communication education in Ukraine and in the world remains open today. Relevance, high social significance, the innovation of the formulated problem and its lack of elaboration led to the necessity of its conceptual and systematic study, therefore this scientific development concerning this problem is extremely important. The study first observed the formation, development and current state of information and communication educational models. The cultural dynamics of modern society urgently require a radical transformation of the educational system, its correlation with the needs of a new information age. These requirements prove the necessity of a global modernization of the education system, which today, as a mode of spiritual culture, does not meet the requirements of the new information order, in which education is determinative.
Linear Congruential Generator and Caesar Cipher

With the massive development in the technology, this era is witnessing tremendous use of Internet . Huge amount of confidential data trasfer is taking place through Internet. The consequence of this growth is the great demand for data security. Privacy is the most sorted topic in Information Security. The protection of privacy of data can be achieved by the application of cryptography. In this paper a new encryption algorithm is proposed using the simplest classical Caesar Cipher with Linear Congruential Generator for shift size followed by permutation of the words of the message. The strength of the algorithm is ease of use and large key space making Brute force cryptanalysis impossible.
Vector Calculus

Unique in its clarity, examples, and range, Physical Mathematics explains simply and succinctly the mathematics that graduate students and professional physicists need to succeed in their courses and research. The book illustrates the mathematics with numerous physical examples drawn from contemporary research. This second edition has new chapters on vector calculus, special relativity and artificial intelligence and many new sections and examples. In addition to basic subjects such as linear algebra, Fourier analysis, complex variables, differential equations, Bessel functions, and spherical harmonics, the book explains topics such as the singular value decomposition, Lie algebras and group theory, tensors and general relativity, the central limit theorem and Kolmogorov's theorems, Monte Carlo methods of experimental and theoretical physics, Feynman's path integrals, and the standard model of cosmology.
Pseudonym-Based Privacy Preserving Framework for Facilitating Cloud Data Security

The advent of cloud computing has revolutionized the option of sharing cloud resources among the cloud users for minimizing the cost overhead. But, the cloud data security is considered as the predominant issue that need to be addressed through the implementation of privacy preserving approaches that sustains and prevents the cloud resources and users from being compromised by the malicious intruders. In this paper, a Pseudonym-based Privacy Preservation Framework (PBPRF) is proposed for understanding its potential towards the accuracy and privacy preservation of cloud data based on the concept of P-Gene. This proposed PBPRF incorporates the benefits of the P-Gene which is responsible in the cloud space for providing security for the stored and utilized private data in the cloud that are periodically exchanged with the clients of the cloud environment. This proposed PBPRF scheme ensures secure sharing of data by relying on a trustworthy data aggregation scheme which is fully dependent on erasable data hiding technique. The simulation experiments and results of the proposed PBPRF mechanism is compared with the baseline PRIAS and TPAAAS techniques in terms of pseudonym generation cost, pseudonym verification, execution time and pseudonym verification time under batched and separated environment.
An Efficient Approximation for Nakagami-m Quantile Function Based on Generalized Opposition-Based Quantum Salp Swarm Algorithm

With the further research in communication systems, especially in wireless communication systems, a statistical model called Nakagami-m distribution appears to have better performance than other distributions, including Rice and Rayleigh, in explaining received faded envelopes.Therefore the Nakagami-m quantile function plays an important role in numerical calculations and theoretical analyses for wireless communication systems.However, it is quite difficult to operate numerical calculations and theoretical analyses because Nakagami-m quantile function has no exact closed form expression.In order to obtain the closed form expression that is able to fit the curve of Nakagami-m quantile function as well as possible, we adopt the method of curve fitting in this paper.An efficient expression for approximating the Nakagami-m quantile function is proposed first, then we propose a novel heuristic optimization algorithmgeneralized opposition-based quantum salp swarm algorithm (GO-QSSA), which contains quantum computation, intelligence inspired by salp swarm and generalized opposition-based learning strategy in quantum space-to compute the coefficients of the proposed expression.Meanwhile, we compare GO-QSSA with three swarm intelligence algorithms: artificial bee colony algorithm (ABC), particle swarm optimization algorithm (PSO) and salp swarm algorithm (SSA).The comparing simulation www.videleaf.comresults reveal that GO-QSSA owns faster convergence speed than PSO, ABC and SSA.Moreover, GO-QSSA is capable of computing more accurate solution than traditional algorithms.In addition, the simulation results show that compared with existing curve-fitting-based methods, the proposed expression decreases the fitting error by roughly one order of magnitude in most cases and even higher in some cases.Our approximation is proved to be simple and efficient.
Impact of Internet of Things in the Healthcare Industry

The internet of things concept had infiltrated nearly every field of our life, however, its cutting edge impact in the healthcare industry has been momentous. With tremendous penetration of Mobile health, the functionality of IoT in the healthcare industry had drastically increased. In the research, a systemic literature review was conducted to study the impact of IoT applications in the healthcare industry by analyzing the current and future research work in the field, more focusing on security and privacy in health IoT devices and how it affects different levels of health care employees and consumers’ adoption towards IoT in the health care industry. The study reports research papers, which were included, based on the further filtering process by title, contents, and abstract. A total of 232 primary up-to-date studies were included in the review study. These papers were analyzed according to the research questions defined in the study.
Conclusions

In the following of this chapter we recap what have been presented in this book. In particular, we provided a complete and thorough study of tethered aerial vehicles going from the basic theoretical problems of modeling, controllability and observability, to application-oriented problems. This book is not limited to the theoretical analysis of the considered problems, but also presents experimental results that validates the proposed methods.
Afandi.19421058.CloudComputing.3

Afandi.19421058.CloudComputing.3