bluuebunny/crossref_metadata_2025 huggingface dataset:
A SURVEY ON THE BASIC INFORMATION AND THE IMPACT OF COVID-19 TOWARDS THE TOURISM SECTOR IN SAMUT SONGKHRAM PROVINCE, THAILAND
Authors: Potjanajaruwit Pisit
Published: November 2023

The purpose of this research was to study the basic information and factors of the impact of COVID-19 on the tourism sector in Samut Songkhram Province in order to establish preliminary data for the new normal lifestyle technology development. The quantitative research part was conducted with 210 tourism start-ups and social enterprises in Samut Songkhram Province, using interview forms and questionnaires as research instruments. The data were then processed with Exploratory Factor Analysis (EFA) using Principal Component Analysis (PCA) to obtain the important variables of COVID-19 impact factors affecting the tourism sector in Samut Songkhram province.The results revealed that COVID-19 impacted tourist attractions at the highest level ( = 4.40 S.D. = 0.50). The major COVID-19 impact factors were also found to have the highest factor loading at 0.736 on tourist attractions. As such,it is necessary for businesses to have a prepared plan to manage the impacts of COVID-19, and there must beguidelines and checklists for infection prevention in accordance with the government standards. This can be done byusing technology to reduce direct in-person contact while dealing with business partners for hotels, transportation, and tourist attractionsto reduce infection risk according to the standards set by the government.
THE VALUE CREATION GUIDELINES IN SERVICES PROVIDED TO CUSTOMERS AFFECTING DECISION TO CHOOSE HOMESTAY ACCOMMODATION IN KOH SAMUI DISTRICT, SURAT THANI PROVINCE
Authors: Seravisut Pattrawut , Phrapratanporn Bundit
Published: November 2023

The purpose of this study was to investigate the guiding principles of value creation in customer services that influence the decision to choose homestay accommodation in Samui District, Surat Thani Province, and to develop guidelines for homestay accommodation management.The experimental groupwas400 Thai tourists who hadsome experience staying in homestay accommodations in Koh Samui District, Surat Thani Province were interviewed. The research instrument is a questionnaire. This research employed a random convenience sampling method, and the data were analyzed using statistical methods such as frequency, percentage, mean and standard deviation. The results revealed that: most of the interviewees are women, age 31-40, single, with a bachelor's degree or equivalent. Most of them are private sector workers with a monthly income between 20,001 and 30,000 baht.

Hypothesis testing using multiple regression analysis techniques revealed that the value of customer service affects the level of decision-making when choosing a place to stay in Koh Samui District, Surat Thani Province. The statistics show that service personnel influence the decision level the most, followed by physical characteristics, service process, price, and product and service, marketing promotion, advertising, distribution channels, and public relations, respectively.
ANALYSIS OF EMPLOYEE LOYALTY - A CASE STUDY OF PINGDINGSHAN BRANCH OF BANK OF CHINA
Authors: Xu Yining , Zhang Li
Published: November 2023

This article aims to investigate the employee loyalty in the context of banking industry and takes the staff of Pingdingshan Branch of Bank of China as research target to study the influencing factors of employee loyalty. The article will focus on the following sections. First, the relevant concepts and associated analysis lay the foundation for further research. Secondly, the theoretical research model is designed to develop the questionnaire and collect relevant information.Finally, the structural equation model is established to verify the hypothesis and draw a conclusion. It is concluded that the human resource management mechanism, personal factors, internal factors and external factors have the employee loyalty. Based on the findings, to provide relevant advice to the Pingdingshan Branch of the Bank of China and others.
SOUTH KOREA'S EURASIAN INITIATIVE: A METHOD OF PROMOTING ECONOMIC AND SOCIAL RIGHTS IN ASIA
Authors: Al Shaher Shaher , Zreik Mohamad , Shatila Khodor , Oda Abunamous Mohammed
Published: November 2023

An ambitious and well-structured economic plan was proposed by the former South Korean President Park Geun-hye at the International Conference on Cooperation in Eurasia, held in Seoul in 2013. This study discusses the situation of economic and social rights within the Asian continent and links the consequences of the proposed initiative. Through the South Korean diplomacy, the “Eurasian Initiative” could be realized. The study concludes with the major economic and social changes that may result from this initiative, which transforms Eurasia into an international economic center and restores its leading role. We refer to the socio-economic situation prevailing Eurasia and examine possible changes after the implementation of the proposed initiative. The study discusses the active role played by the South Korean diplomacy for initiative’s success and strengthening of ties with member states. It is likely that the projects will expand if the set goals succeed.
DIRECTIONS OF REORIENTING EXPORTS AND IMPROVING EXPORT’S STATE SUPPORT DUE TO AN UNFRIENDLY NATURE ACTIONS BY A NUMBER OF FOREIGN STATES
Authors: Podolskaya Tatiana , Nizhelskaya Dana
Published: November 2023

This article analyzes the existing mechanism of state support to exports by the authorities in Russia. A comprehensive analysis of the proposed measures of state support to exports during the period of sanctions pressure has been carried out, and trends of its prospective development in the future have been revealed. The use of various mechanisms and instruments for supporting exports will make it possible at each stage of foreign economic policy to eliminate many financial and non-financial problems, which create difficulties for bringing goods and services to the foreign market in the Russian Federation. A list of measures, which will make it possible to improve the system of state support to exports in the future, is also proposed.
A STUDY OF FACTORS INFLUENCING STUDENTS’ ENGAGEMENT IN COMPETITIONS IN CHENGDU, CHINA
Authors: Ma Lina , Li Changhan
Published: November 2023

The purpose of this study is to investigate into factors that influence students’ intention and behavior in participating in competition. The research adopted quantitative approach and proposed a conceptual framework based on the theory of reasoned action, the technology acceptance model and the theory of planned behavior, and examined into the relationship among perceived ease of use, perceived usefulness, attitude, subjective norms, perceived behavioral control, intention and behavior. The questionnaire is adapted and distributed to university students and statistical analysis was done after data was collected. The CFA approach and structural equation model was adopted in the analysis process. The finding indicated that possible ways to improve the organization of the competition on the organizers and teachers’ side were given so that students can continuously strengthen their motivationin participating in competitions so as to reach the goals set by policy-makers.
DETERMINANTS OF SUCCESS FOR SELF-SERVICE LAUNDRY FRANCHISES IN SAMUT SAKHON: A STUDY OF CRITICAL FACTORS, FRANCHISOR-FRANCHISEE RELATIONSHIPS, AND RESOURCE SCARCITY THEORY
Authors: Punjatewakupt Piyawong , Manasoontorn Rapeepat
Published: November 2023

The self-service laundry industry has witnessed significant growth and popularity, with self-service laundry franchises emerging as a lucrative investment option. This research investigates the critical success factors (CSFs) and resource scarcity theory that influence the success of self-service laundry franchises in Samut Sakhon, Thailand. The study employs a qualitative approach, conducting in-depth interviews with 25 franchisees operating in the region.

The findings reveal key CSFs that significantly impact franchise success, including strategic location selection, equipment quality and maintenance, competitive pricing, effective marketing strategies, outstanding customer service, and hygiene standards. The franchisor-franchisee relationship, characterized by mutual support, open communication, and shared values, is also found to play a crucial role in franchise performance. Moreover, resource scarcity theory influences franchisee decision-making, providing access to established brands, operational expertise, and technology. Franchisors' resources, such as training, brand recognition, and marketing support, synergistically combine with franchisee resources to enhance overall performance.
THE RELATIONSHIP BETWEEN TOP MANAGEMENT TEAM HETEROGENEITY, STRATEGIC CHANGE AND FIRM PERFORMANCE
Authors: Wang Jing
Published: November 2023

This study selects all the sample data of domestic A-share listed companies from 2012 to 2020 to study the relationship between executive heterogeneity and corporate profitability and growth performance and discusses the Mediator mechanism involved in strategic change. Team characteristics-decision-making behavior-performance results" to clarify the mechanism of strategic difference between the heterogeneity of the TMT and the improvement of corporate profitability and growth performance, providing empirical data for the optimization of the full management team, as well as It helps enterprises achieve profitability and growth value growth through the best strategic choice.
EXPLORING INTREPRENEURSHIP AMONG EMPLOYEES: A CASE STUDY OF ALIBABA’S V-MATE PROJECT
Authors: Shen Qinjie , Heo Dongcheol , Reis Detlef
Published: November 2023

Nowadays, 21st century, business innovation is the direction for each company which needs to stay focused on and in recent years intrepreneurship has been a major factor for many medium to large companies to survive and win in today's highly competitive market. The purpose of this independent study is to analyze the factors affecting entrepreneurship at Alibaba through the V-mate project by using in-depth interviews. Most of the employees in Alibaba understand the basic concept of intrapreneurship and basic characteristics of intrapreneurship. Somehow, they still need to comprehend the difference between intrapreneurship and entrepreneurship. The traits of insider-outsider, implicitness, inspiration, commitment, creativity, knowledge, risk tolerance capability, sense of responsibility, pro-activeness were found among Alibaba employees to develop the intrapreneurship inside the company.
Improvement of AlSiO/GaN interface by a novel post deposition annealing using ultra high pressure
Authors: Kanechika Masakazu , Hirata Takumi , Tokozumi Tomoya , Kachi Tetsu , Suda Jun
Published: November 2023

In this study, a novel post-deposition annealing (PDA) technique employing ultra-high pressure was demonstrated for the first time. A 40 nm thick AlSiO gate insulator was deposited using atomic layer deposition (ALD) on n-type gallium nitride (GaN) epitaxial layers grown on free-standing GaN substrates. These PDA techniques were performed at 600 °C in a nitrogen ambient under 400 MPa, with normal pressure conditions used as the references. The annealing duration varied within the range of 10, 30, 60, and 120 min. For normal pressure annealing, the flat-band voltage of capacitance-voltage curves exhibited a shift towards the positive bias direction as the annealing time increased. Conversely, for the 400 MPa annealing, the flat-band voltage approached the ideal curve as the annealing time extended. For 400 MPa and 120 min, low interface state density of ∼5 × 1011 cm−2 eV−1 or less at E
c −0.20 eV was obtained. These results suggest that post-deposition annealing under ultra-high pressure could be a viable method for improving the interfacial characteristics of AlSiO/GaN.
The Partial Nature of Metaphorical Mappings -Structural Metaphor Focusing on the metaphorical utilization of life-
Authors:   Urimal Society, Bai DoYong
Published: November 2023

The purpose of this study was to explore the nature of metaphorical utilization in conceptual metaphorical life mapping. To this end, the proposed multifaceted cognitive model(MCM) was applied to the structural metaphor of life, and the following results were obtained. First, in terms of the frequency of occurrence of MCM elements, the aspect of source varied compared to the aspect of target, and they generally appeared in the following order: material aspect, action aspect, goal aspect, and shape aspect. Second, in terms of the aspect of source of metaphorical ideas, we could distinguish between active(23.5%) and passive(76.5%) attitudes of the subject, which was consistent with the subject's loss of control in the aspect of target. From this, we could infer that the subjects' active attitudes showed that they were being guided by their passive attitudes rather than leading their lives. Third, the identification of the partial nature of metaphorical mapping eventually broadened our understanding of life in the target domain.
Empowering workers’ involvement: Unveiling the dynamics of communication, recognition, productivity, and decision-making in the RMG sector
Authors:   Sonargaon University (SU), Dhaka, Bangladesh, Hawlader Md. Rasel , Rana Md. Masud ,   Sonargaon University (SU), Dhaka, Bangladesh, Kalam Abul ,   Sonargaon University (SU), Dhaka, Bangladesh, Polas Mohammad Rashed Hasan ,   Sonargaon University (SU), Dhaka, Bangladesh
Published: November 2023

Purpose: This study investigates the relationship between workers' perspectives on communication, recognition, productivity, and their involvement in the Readymade Garment (RMG) sector policymaking. Research Methodology: A sample of 226 individuals from the RMG sector in Bangladesh was surveyed using a well-designed questionnaire. The data were examined, and the study's hypotheses were tested, using the statistical program SPSS V.25. In IBM SPSS, the chi-square test and other statistical techniques were used to examine the data. The study investigates the relationship between the independent variables, including communication, employee recognition, and productivity, and the dependent variable, worker perception, using a conceptual framework. Results: There is a positive and significant relationship between employees' perceptions of communication and their involvement in the decision-making process. The study also shows that there is a positive and significant association between workers' perceptions of employee recognition, productivity, and involvement in decision-making in Bangladesh's RMG industry. Additionally, the organization's decision-making process is significantly impacted by employee participation. Limitations: While many studies examined the workers’ participation in decision-making in the various sectors, only a few studies have focused on the RMG sectors to explore the effects of communication, employee recognition, and productivity on the workers’ participation in decision-making. Contributions: The study reveals that the organization’s total effectiveness is reflected in how deeply workers are involved in decision-making. The degree of involvement is a key determining element since encouraging people to engage instead of just dragging them along is essential for enhancing performance and ensuring commitment.
Pressures of jobseekers after graduation: Evidences from a public university of Bangladesh
Authors:   Department of Public Health, Leading University, Sylhet, Bangladesh, Barman Ram Proshad , Nishat Arifuzzaman ,   Department of Public Health, Leading University, Sylhet, Bangladesh, Hasan Md. Rashidul ,   Department of Public Health, Leading University, Sylhet, Bangladesh
Published: November 2023

Purpose: The goal of this study is to present the results for job seekers who have graduated from public universities. Methodology/approach: Quantitative and qualitative methods were used in this study. The data were gathered from 200 job-seeker students at Begum Rokeya University, Rangpur (BRUR), between February and May 2022. The study adopted a purposive sampling technique to select respondents and seven case studies to draw qualitative conclusions. The study also employed The chi-squared test was used to test the hypotheses.. Results/Findings: The results of the hypothesis are as follows: there is a strong relationship between economic crisis and highly salaried jobs ( ); a medium relationship between more time to complete graduation and the pressure on job career ( ); a medium relationship between lower preparation for a job and more participants than job capacity ( ); and finally, a medium relationship between cultural influence on respondents’ behavior and alienation from family and relatives ( ). This study also discovered that pressure on students comes from a variety of sources, including family, workplace, cultural hegemony, and academic pressure. Finally, the study concludes that students may reduce demands, the government can increase employment, and jobless youth may develop self-servicing possibilities for living. Limitations: The researchers had limitations because, even without these findings, the environment and appropriateness might be advantageous for graduates instead of pressures. Another barrier is time and money. Contribution: Students, job seekers, and society at large who are concerned about unemployment and the programs that may address it both domestically and internationally will find the research to be helpful.
Human Resource Management Practices and Employee Performance of Kenya Reinsurance Corporation, Nairobi City County, Kenya
Authors: John Janet Ndunge , Bula Hannah
Published: November 2023

Organizations are seeking to gain a competitive advantage via increased employee performance as the business environment becomes more volatile and unpredictable than ever before. To achieve this, businesses are increasingly focusing on human resources practices using more innovative techniques. The current study's objective was to determine how employee performance in Kenya's reinsurance business is impacted by HRM practices. The research explicitly examined the influence of selected practices on overall employee performance. The study utilized a descriptive research design with a case study of Reinsurance Cooperation. The target population was employees of Reinsurance industry in Kenya in Nairobi City County. The specific objectives of the study were to determine the effect of training and development, performance appraisal, reward and compensation, and employee empowerment on employee performance at Kenya Reinsurance Corporation. The study was underpinned Ability, Motivation, Opportunity Theory; Resource Based Theory; and Best Fit Theory. The target audience was all employees of the Reinsurance Corporation in Nairobi City County. The target population will be 149 employees and the study employed the target population census since some other departments had less responses. Both qualitative and quantitative data approaches will be utilized in the study's data collecting. Tables, graphs, and charts were employed to display the results of the data analysis and summary utilizing both descriptive and inferential statistics. The study found that training and development, performance appraisal, reward and compensation and employee empowerment had a positive significant influence on employee performance of Kenya Reinsurance Corporation, Nairobi City County, Kenya. The study concludes that training and development helps companies gain and retain top talent, increase job satisfaction and morale and improve productivity. Performance evaluation measures an employee’s contribution in terms of increased company revenue and job performance, compared to industry standards and employee return on investment. A rewarding compensation and benefits plan can attract loyal, motivated and engaged candidates and may reduce the turnover rate of people in a company and empowering employees through greater autonomy has been directly linked to increased employee motivation.
Political Succession, Capital Market Performance and Firm Valuations in Nigeria
Authors: Adelegan Olatundun
Published: November 2023

This paper studies the impact of political succession Oil capital market performance and firm valuation in Nigeria. The study assesses the market capitalization and foreign portfolio investment trend before and during The Fourth Republic. it also investigates the price reactions of 20 most actively traded stocks to the commencement of the Fourth Republic on May 29, 1999 using daily stock prices for 30 days between May and June 1999. The study used the modified market model to analyze the 3-day immediate short-run, the 14 days before and the 15 days after the market reactions to change in government. The results show that the average excess returns for the samples are negative, from day 14 to day 1before a political succession and positive from day 1 to day 15 after succession. The excess returns are statistically significant for 90 per cent of the days from day 14 to day 2 before and day 2 to day 15 after a political succession. The study found that tile magnitude of short-run price reactions to political succession is high. Market capitalization and index grew by 1.34 percent and 1.08 per cent respectively after a political succession. While market capitalization as a proportion of the GDP increased to 15.07 percent after political succession, foreign portfolio investment as a proportion of the GDP fell to 0.74 percent. Overall, political succession has a positive impact on capital market performance and market valuation of firms in Nigeria.
Convolutional Wavelet Neural Network Based Non-Intrusive Load Monitoring for Next Generation Shipboard Power Systems
Authors: Senemmar Soroush , Zhang Jie
Published: November 2023

In this study, a non-intrusive load monitoring (NILM) framework is developed for next generation shipboard power systems (SPS) based on a discrete wavelet transform and a convolutional neural network (CNN). We have applied the developed NILM method to a four-zone medium voltage direct current (MVDC) SPS to evaluate the effectiveness of the proposed method. Each zone of the MVDC SPS consists of multiple components, such as propulsion load, pulsed load, high ramp rate load, cooling load, and hotel load. The current signals from main generators are the main inputs to the NILM model. The current signals are first processed with a discrete wavelet transform to create a coefficient matrix that reflects the status of all the components in each zone. Then, a multi-class classification problem is formulated and solved using a CNN model to monitor the load statuses in real time. The results of case studies show that the developed NILM model can (i) accurately monitor the status of all components with a total accuracy of over 98%, (ii) identify unique pulsed loads with a total accuracy of over 99%, and (iii) sustain the functionality of load monitoring under extreme events such as cyber/physical attacks, load uncertainty, and noisy inputs.
Mitigating Road Traffic Crashes in Urban Environments: A Case Study and Literature Review-based Approach
Authors: Musingura Crispus , Kim Kibum , Ahn YongHan , Lee Gunwoo
Published: November 2023

Road traffic crashes in urban areas pose significant safety and efficiency challenges. This paper presents an approach, merging case studies and literature reviews, to mitigate urban road traffic crashes and enhance safety. The study commences with an extensive literature review, delving into existing research on road traffic crashes. This review establishes the groundwork for comprehending urban road safety solutions, insights into ongoing research trends, and guiding case study selection. Three case studies parallel analogous cities where Intelligent Transportation Systems and other smart city initiatives targeting road safety succeeded. Each case dissects safety interventions, accomplishments, and lessons learned. Scrutinizing these studies aims to unveil trends underpinning a holistic road safety strategy. From literature and case studies, a comprehensive road safety strategy emerges. It leverages advanced technology, data insights, and proactive measures to enhance road safety, curtail accidents, and optimize urban traffic. This research yields an all-encompassing road safety strategy for policymakers, planners, and safety practitioners to elevate urban road safety. It promotes secure, efficient, technologically advanced urban areas, endorsing sustainable transportation, elevating residents’ lives, and positioning cities as urban mobility leaders. Furthermore, this study contributes to the academic literature on road safety and urban transportation. Through case studies and literature reviews, it supplements knowledge about effective road traffic crash mitigation strategies. These insights have the potential to guide future research, advancing road safety and urban transportation domains.
AAKT: Enhancing Knowledge Tracing with Alternate Autoregressive Modeling
Authors: Zhou Hao , Rong Wenge , Zhang Jianfei , Sun Qing , Ouyang Yuanxin , Xiong Zhang
Published: November 2023

Knowledge Tracing (KT) aims to predict students’ future performances based on their former exercises and additional information in educational settings. KT has received much attention since it provides personalized experiences in educational situations. The autoregressive modeling on the sequence of former exercises has been proven effective for this task. One of the main challenges for autoregressive modeling in KT lies in the different visibility of exercise information, which leads to sacrifice on effectiveness in previous methods. To address this issue, we propose the Alternate Autoregressive Knowledge Tracing (AAKT) framework by combining question and response sequences into a unique sequence in an alternate order and using sliding windows to cut subsequences for training and testing. The model embeds exercise information into vectors through embedding layers and an auxiliary task during the training process. Advanced autoregressive technologies from Natural Language Generation (NLG) are introduced to extract information from historical interactions. The output of the autoregressive model is transformed into the probability of answering correctly for the given question. We compare AAKT with several knowledge tracing baselines on four real-world datasets and the experimental studies demonstrate its promising potential. Ablation studies and visualizations are also conducted to validate the effects of several key components of AAKT.
Joint Queue-Length Distribution for the Non-Preemptive Multi-Server Multi-Level Markovian Priority Queue
Authors: Zuk Josef , Kirszenblat David
Published: November 2023

Explicit results are obtained using simple and exact methods for the joint queue-length distribution of the M/M/c queue with an arbitrary number of non-preemptive priority levels. This work is the first to provide explicit results for the joint probability generating function and joint probability mass function for a general number of priority levels. A fixed-point iteration is developed for the stationary balance equations, which enables direct computation of the joint queue-length distribution. A multi-variate probability generating function is also derived, from which the joint probability mass function can be computed by means of a multi-dimensional fast Fourier transform method.
A Deep Estimation-Enhancement Unfolding Framework for Hyperspectral Image Reconstruction
Authors: Fang Zhen , Ma Xu , Arce Gonzalo
Published: November 2023

Coded aperture snapshot spectral imager (CASSI) can recover three-dimensional hyperspectral images (HSIs) from two-dimensional compressive measurements. Recently, deep unfolding approaches were shown impressive reconstruction performance among various algorithms. Existing deep unfolding methods usually employ linear projection methods to guide the iterative learning process. However, the linear projections do not include trainable parameters and ignore the essential characteristics of HSI. This paper proposes a novel learning-based deep estimation-enhancement unfolding (DEEU) framework to improve the HSI reconstruction. The deep estimation-enhancement (DEE) module is used to guide the iterative learning process of the network based on the prior information of the CASSI system, and then exploits the intrinsic features of the reconstructed HSI in both spectral and spatial dimensions. In addition, a multi-prior ensemble learning module is proposed to further improve the reconstruction performance without increasing runtime. As with most of deep unfolding methods, we plug a convolutional neural network as a denoiser in each stage of the DEEU framework, which finally forms the proposed DEEU-Net. Comprehensive experiments on both simulation and real datasets demonstrate that the effectiveness of our DEEU framework, and our DEEU-Net can achieve both high reconstruction quality and speed, outperforming the state-of-the-art methods.
Correction and Addendum for “Consistent Optical and Electrical Noise Figure”
Authors: Noe Reinhold
Published: November 2023

The minimum noise figure of an electrical amplifier is Fe=1. E. Desurvire’s traditional optical noise Fpnf of an optical amplifier has the minimum value Fpnf=2. If Fpnf is a noise figure then power, gain and Fe need to be redefined. Fpnf is in conflict with physics and Fe. The correct optical noise figure Fo,IQ, observable in coherent I&Q receivers, has the minimum Fo,IQ=1 and is compatible with Fe. In the derivation of the consistent unified noise figure FIQ for all frequencies, from Fe and Fo,IQ, thermal noise energy is needed. Its usual simplified expression kT is now replaced by Nyquist’s correct result. This holds also in a unified homodyne noise figure FI, against which H. Haus’ unified noise figure Ffas is discussed. 
Correction and Addendum for "Consistent Optical and Electrical Noise Figure"
Authors: Noe Reinhold
Published: November 2023

The minimum noise figure of an electrical amplifier is
F=1. E. Desurvireâ\euro™s
traditional optical noise F of an
optical amplifier has the minimum value
F=2. If
F is a noise figure then power, gain
and F need to be redefined.
F is in conflict with physics and
F. The correct optical noise figure
F, observable in coherent I&Q
receivers, has the minimum F=1
and is compatible with F. In the
derivation of the consistent unified noise figure
F for all frequencies, from
F and
F, thermal noise energy is
needed. Its usual simplified expression kT is now replaced by
Nyquistâ\euro™s correct result. This holds also in a
unified homodyne noise figure F, against
which H. Hausâ\euro™ unified noise figure
F is discussed.Â
A Practical Large-Scale Roadside Multi-View Multi-Sensor Spatial Synchronization Framework for Intelligent Transportation Systems
Authors: Li Yong , Zhao Zhiguo , Chen Yunli , Tian Rui
Published: November 2023

Spatial synchronization in roadside scenarios is essential for integrating data from multiple sensors at different locations. Current methods using cascading spatial transformation (CST) often lead to cumulative errors in large-scale deployments. Manual camera calibration is insufficient and requires extensive manual work, and existing methods are limited to controlled or single-view scenarios. To address these challenges, our research introduces a parallel spatial transformation (PST)-based framework for large-scale, multi-view, multi-sensor scenarios. PST parallelizes sensor coordinate system transformation, reducing cumulative errors. We incorporate deep learning for precise roadside monocular global localization, reducing manual work. Additionally, we use geolocation cues and an optimization algorithm for improved synchronization accuracy. Our framework has been tested in real-world scenarios, outperforming CST-based methods. It significantly enhances large-scale roadside multi-perspective, multi-sensor spatial synchronization, reducing deployment costs.
A Simulation Study on Calibration of A LiDAR with Respect to A Camera by Using Point and Plane Constraints
Authors: Itami Fumio , Yamazaki Takaharu
Published: November 2023

This letter provides a simulation study on calibration of a 3D LiDAR with respect to a camera, with point-topoint and point-on-plane correspondences for calibration constraints, by extending our previously proposed 2D LiDAR calibration methods. The calibration performance is examined in terms of vertical scan view and resolution, especially in narrow/sparse scan space, in the presence of sensor noise. It contributes to a guidance on a use of various sensors and dataset depending on contexts and applications with different scan view and resolution, and an understanding of the effect of the different constraints on calibration. As a result, the combination of the point and plane constraints yields better performance than either of them.
Personalization of automatic sleep scoring: How best to adapt models to personal domains in wearable EEG
Authors: Lorenzen Kristian , Heremans Elizabeth R. M. , Vos Maarten de , Mikkelsen Kaare B.
Published: November 2023

Abstract— Wearable EEG enables us to capture large amounts of high-quality sleep data for diagnostic purposes. To make full use of this capacity we need high-performance automatic sleep scoring models. To this end, it has been noted that domain mismatch between recording equipment can be considerable, e.g. PSG to wearable EEG, but a previously observed benefit from personalizing models to individual subjects further indicates a personal domain in sleep EEG. In this work, we have investigated the extent of such a personal domain in wearable EEG, and review supervised and unsupervised approaches to personalization as found in the literature. 

We investigated the personalization effect of the unsupervised Adversarial Domain Adaptation and implemented an unsupervised method based on statistics alignment. No beneficial personalization effect was observed using these unsupervised methods. We find that supervised personalization leads to a substantial performance improvement on the target subject ranging from 15% Cohen’s Kappa for subjects with poor performance (κ < 0.70) to roughly 2% on subjects with high performance (κ > 0.80). This improvement was present for models trained on both small and large datasets, indicating that even high-performance models benefit from supervised personalization. We found that this  personalization can be beneficially regularized using Kullback-Leibler regularization, leading to lower variance with negligible cost to improvement.

Based on the experiments, we recommend model personalization using Kullback-Leibler regularization.
Large Language Models and Creative Writing
Authors: Anbu Durai Srinaath
Published: November 2023

This is a experimental and qualitative study about Human-AI interaction which investigated Large Language Models (LLMs) in creative writing tasks.
Robust DOA Estimation Against Outliers via Joint Sparse Representation
Authors: Li Yingsong
Published: November 2023

Standard Direction of Arrival (DOA) estimation methods are typically derived based on the Gaussian noise assumption, making them highly sensitive to outliers. Therefore, in the presence of impulsive noise, the performance of these methods may significantly deteriorate. In this paper, we model impulsive noise as Gaussian noise mixed with sparse outliers. By exploiting their statistical differences, we propose a novel DOA estimation method based on sparse signal recovery (SSR). Furthermore, to address the issue of grid mismatch, we utilize an alternating optimization approach that relies on the estimated outlier matrix and the on-grid DOA estimates to obtain the off-grid DOA estimates. Simulation results demonstrate that the proposed method exhibits robustness against large outliers.
Blockchains and Taxes: A German Efficiency or Just Another Bureaucratic Wunderkind?
Authors: Bodemer Oliver
Published: November 2023

In the grand tradition of Sherlock Holmes, the master of deduction, an investigative journey unfolds into the enigmatic world where the steadfast realm of German taxation meets the cryptic and ever-evolving landscape of blockchain technology. Much like the fog-laden streets of Victorian London, the intertwining of these two domains presents a puzzle wrapped in a mystery, shrouded in an enigma.  

The tale begins in the orderly corridors of German tax offices, where meticulous records and an unyielding adherence to regulation reign supreme. Into this world of precision and predictability, enters the maverick of modern finance: blockchain. With its promise of decentralization, transparency, and security, blockchain stands at the threshold, poised to revolutionize the very foundations of tax collection and administration.  

Yet, as Holmes himself would attest, the introduction of such a disruptive force into a system as established and rigid as the German tax regime is akin to introducing a wild card into a well-ordered deck. The potential for both unparalleled efficiency and unforeseen chaos exists in equal measure. Will blockchain technology prove to be the trusty Watson to Germany’s tax system, a loyal ally in the pursuit of order and justice? Or will it be akin to the elusive Moriarty, a force of disruption and uncertainty?  

In this scholarly endeavor, the labyrinth of regulations is traversed, potential harmonies and discords are explored, and deductions are made whether this alliance between blockchain and the German tax system is a match of mutual benefit or a partnership doomed to complexity and contention.  

Standing at the crossroads of tradition and innovation, donning the proverbial deerstalker, and arming with the magnifying glass of scrutiny, this intellectual pursuit embarks. For in the words of the illustrious Holmes, "The game is afoot!"  
Capacitor-less 1T-DRAM as Synaptic Element for Online Learning
Authors: Bashir MD Yasir , Sharma Pritish , Sahay Shubham
Published: November 2023

In this work, for the first time, we have demonstrated the feasibility of 1T-DRAMs as synaptic elements with MLC, large dynamic range, appreciable linearity, ultra-low energy, high endurance, and large integration density. Our results may provide incentive for its experimental realization. 
Intelligent Radios & Its’ Military Applications
Authors: Sharma Anupam , Bodade R.M
Published: November 2023

The first thing that comes to everyone’s mind, when we talk about wireless communications is “The Radio”. Starting from the 1800’s till date the radio has undergone several iterations of development. This paper is focused to bring out the three major development stages that are Hardware Defined Radios, Software Defined Radios & Cognitive Radios. With the introduction of cognizance and decision-making algorithms in Cognitive Radios, the scope for incorporation of Artificial Intelligence and Machine Learning has become significant. Intelligent Radios can be considered as the fourth generation of Radio in times to come, which will incorporate Artificial Intelligence and Machine Learning at the core processing unit to improve the overall capability of radio in a congested, constrained and contested electromagnetic spectrum. The Intelligent Radios would be capable of generating hypothesis based on environmental conditions on its own and take intelligent decisions as per the situation reducing the human effort. As the world is moving constantly towards information age, it is clear that future age warfare will be network and electromagnetic spectrum centric. Hence, it is very important for the military to achieve freedom operation in electromagnetic spectrum space in operational scenario. Intelligent Radios will be the weapon of future age warfare by aiding in efficient spectrum management, powerful electromagnetic warfare in active mode and easy and quick decision making leading to timely escalation and achievement of tactical, strategic, and political objectives. 
Heterogeneous Unknown Multi-Agent Systems of Different Relative Degrees: A Distributed Optimal Coordination Design
Authors: Noorighanavati Zadeh Hossein , naseri reza , Menhaj MB
Published: November 2023

This paper addresses the distributed optimal coordination problem for a network of heterogeneous agents. To the best of our knowledge, few works where the control design requires no information regarding agents dynamics can be found in the literature. Compared to these works in which agents are only allowed to be of relative degree one, this paper extends the results for networks that are mixtures of agents with different relative degrees. The main goal is that all agents' outputs globally converge to the minimizer of the global cost function. We introduce a novel distributed two-layer control policy to do so. The top layer searches for the minimizer and generates reference signals for the bottom layer. The top layer is identical for all agents. The bottom layer provides each agent with an adaptive controller, enabling the agent to track its associated reference signal. Local cost functions are assumed to be strictly convex and have smooth gradients. The proposed control policy is fully distributed, meaning agents only depend on their own and their neighbors' information to reach a consensus on the global minimizer. Numerical simulations validate the theoretical results.
Q-Factor Parasitic Aware Based Multi-Diode RF Energy Harvesting Scheme for Battery-Less RFID Applications
Authors: Pathak Deepali
Published: November 2023

This article proposes a multi-diode-based wide-input power range rectifier for harvesting ambient radio frequency (RF) energy from 915 MHz ultra-high frequency (UHF). L-match series and parallel topology have been designed to not only boost the received input power but also to produce a highly efficient network to hold a broad input power range. A quality factor based parasitic aware impedance transformation technique are introduced to minimize the rectifier circuit design complexity. This paper demonstrates theoretically and practically that a parallel network is more effective than a series network due to greater harmonic suppression results in an improvement of 3 to 8 percent efficiency throughout a power range of 26 dBm to 12 dBm at a desired frequency. The design utilizes Multi diode (SMS7630, HSMS2850, and HSMS2862) approach to achieve higher efficiency over a wide input power range. From the measurements, the proposed series L match achieves peak power conversion efficiency of 75% at 4 dBm with 35 dB of wide input power range from  23 dBm to 12 dBm with > 20% respectively whereas the proposed parallel L match achieves peak power conversion efficiency of 79% at 4 dBm with 38 dB of wide input power range from  26 dBm to 12 dBm with > 20% in an area of 1:8 X 2 cm 2 respectively.
Deep Learning-Based Frequency Offset Estimation
Authors: Chen Tao , Zheng Shilian , Zhu Jiawei , Xuan Qi , Yang Xiaoniu
Published: November 2023

In wireless communication systems, the asynchronization of the oscillators in the transmitter and the receiver along with the Doppler shift due to relative movement may lead to the presence of carrier frequency offset (CFO) in the received signals. Estimation of CFO is crucial for subsequent processing such as coherent demodulation. In this brief, we demonstrate the utilization of deep learning for CFO estimation by employing a residual network (ResNet) to learn and extract signal features from the raw in-phase (I) and quadrature (Q) components of the signals. We use multiple modulation schemes in the training set to make the trained model adaptable to multiple modulations or even new signals. In comparison to the commonly used traditional CFO estimation methods, our proposed IQ-ResNet method exhibits superior performance across various scenarios including different oversampling ratios, various signal lengths, and different channels.
الأسلوبية الإحصائية في القصيدة العمودية المعاصرة دراسة الثراء المعجمي في نماذج من شعر جاسِم الصحيّح وعارف الساعدِيّ
Authors: حيدري علي , متقي زادة عيسی , روشنفکر کبری , ميرزائي فرامرز
Published: November 2023

تأثّرت الدراسات الأدبيّة منذ أوائل القرن العشرين بالنظريات اللسانية. وصارت تربط اللغة والتعبير بعوامل تکمن وراء تفاصيل النصّ. والأسلوبية الإحصائية إحدی هذه الدراسات التي تُعنَی بتحليل النصّ ودراسته من خلال الإحصاء والمعادلات الرياضيّة. فهي في الوصول إلی النتائج أکثر موثوقيّة وأدقّ من الدراسات الأدبيّة. وبما أنّ المعجم اللغويّ للأديب من أهمّ المعايير لتفسير النصّ، أولَی جونسون عنايته لدراسة الثروة اللفظية في النصوص الأدبية. وذلك کشفاً لتنوّع المفردات، ووصولاً إلی أفکار صاحبها وانتماءاته. وعلی هذا الأساس، اختار البحث الحاضر شاعرَين من کبار شعراء القصيدة العمودية المعاصرة في العالم العربيّ، وهما جاسِم الصحيِّح من المملکة العربية السعوديّة، وعارف الساعديّ من العراق. وأخذَ 600 کلمة من شعر کلٍّ منهما المطبوع المتوفّر (وفق تعليقات سعد مصلوح لاختيار الکلمات)، ودرسَها في ضوء طرق جونسون الأربع بغية التوصل إلی ثروة الشاعرين اللفظية. والهدف من ذلك هو معرفة تأثير الغرض الشعري، والقضايا المعاصرة في العالم العربيّ علی تنوّع مفرداتهما، وکيفيّة توزيعها في نصّ شاعرٍ من العراق، وآخَر من السعودية. وبعد التطبيق والتحليل، توصّلت الدراسة إلی أنّ غرضَ الصحيّح الغزل، وترکيزه علی التشبيب وإيصال المعاني الوصفية الحديثة، جعل النسبة الکلية لتنوّع المفردات ترتفع عنده إلی (77.16)، لکنّ التزام الساعديّ بذکر معاناة وطنه العراق، ووقوفه علی آلام الشعب وآمالهم، جعل النسبة الکلية لتنوع المفردات تقلّ عنده مقارنة مع الصحيّح، وتصل إلی (0.68). مع أنّ منحني نسبة التناقص بين الشاعرين، يبيّن أنّ الساعديّ يقترب من حيث الثروة اللفظية إلی أسلوب الصحيّح کثيراً في المئة الرابعة والمئة السادسة من کلماته، وذلك عند وصفه حال العراق وآمال الناس.
MITIGATING TOURISM FRAUD IN NORTHERN AND CENTRAL LUZON: UNDERSTANDING FACTORS AFFECTING DOMESTIC TOURISTS AND ENHANCING TRUST IN DESTINATION EXPERIENCES
Authors: Rhem Rick N. Corpuz  , Aeiou C. Manlutac  , Siera Mae R. De Guzman  , Charles Joshua P. Santos
Published: November 2023

Tourism, as a pivotal industry globally, plays a vital role in economic development and cultural exchange. Northern and Central Luzon in the Philippines are prime destinations, offering diverse attractions to both international and domestic tourists. How the rapid growth of tourism in these regions brings forth challenges, most notably the risk of fraud, which can severely impact tourists experiences and trust in the destination. This research examines the factors that influence the susceptibility of domestic tourists to fraud in Northern and Central Luzon and its ramifications for the tourism industry. Utilizing a descriptive survey approach and questionnaires, the researchers collect data on various dimensions, including the socio-demographic profile of domestic tourists, their awareness of fraud, impulsiveness, trust tendencies, social support, and self-control. Our initial findings reveal that domestic tourists are equally vulnerable to various forms of fraud when exploring these enticing destinations. Importantly, the level of victimization experienced by tourists significantly affects their trust in tourism destinations, with implications for the local economy. Our research also indicates that domestic tourists possess awareness of fraud risks and knowledge of its forms, though this awareness does not necessarily translate into resistance against fraudulent activities. This study underscores the urgency of addressing fraud in Northern and Central Luzons tourism industry, highlighting its potential impact on the regions reputation and economic prosperity. While domestic tourists are cognizant of fraud risks, further investigation is needed to comprehend the underlying factors contributing to their vulnerability and to develop strategies for enhancing social support and self-control as protective measures, ultimately fostering a safer and more trusted tourism experience in this vibrant and culturally rich region.
KEYWORDS: Tourism, Northern and Central Luzon, Fraud susceptibility, Trust in tourism, Domestic tourists, Socio-demographic profile