HighTech and Innovation Journal
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Qualitative System Dynamics Model for Analyzing of Behavior Patterns of SMEs
Get PDFIn Iran, the Small and Medium Knowledge-Based Enterprises (SMEs), in the development and shaping stage, face lots of problems. Before maturity and stability, they fail. Nearly a decade has passed since the science and technology parks' formation. They were seen as a mechanism for sustainable economic development based on knowledge; through the creation, support, and guidance of founded SMEs. Iranian officials and policymakers are seriously concerned about the sustainable success, development, and growth of these SMEs, which must be appropriate for the needs of Iran. Identifying the behavioral patterns of the stages of life (birth, growth, decline, etc.), which lead to inefficiency and decline, is essential. This helps to avoid mistakes and eventually reduces costs. This paper, using participative model building, tries to extract prevailed patterns that govern the behavior of SMEs in Yazd Science and Technology Park. This paper attempts to introduce positive leverage points for policymakers and senior managers who are responsible and also for SMEs, which are located in the park. Therefore, in this article, while drawing the behavioral patterns of SMEs, using qualitative system dynamics modeling, the structure governing the behavior of SMEs was drawn. This structure consists of four reinforcing loops and eight balancing loops. Finally, based on these loops, 12 corrective policies were proposed. Doi: 10.28991/HIJ-2021-02-01-02 Full Text: PD
Implementation of Boost PFC in the Induction Heating System for EMI–RFI Suppression
Get PDFThe present work deals with the design and performance analysis of a high frequency resonant inverter based Induction Heating (IH) system employing Boost Power Factor Correction (PFC) technique to overcome the problems due to EMI and RFI. Most of the existing techniques use passive filters for harmonics attenuation that fail to meet the present day requirements because of drawbacks like considerably high THD, poor dynamic performance, etc. This paper presents a new control approach for boost PFC based on inner and outer loops to eliminate the problems due to harmonics in the IH system. The equivalent circuit parameter model of the IH system has been used to analyze the presence of harmonics, and the incorporation of boost PFC at the input of the system shows its elimination as per the stringent EMI-RFI regulations. Moreover, attention has been paid to the design algorithm of the boost PFC, and a detailed mathematical analysis has been done to outline an approach for its parameter selection. A comparative analysis of the IH system with and without the incorporation of the boost PFC has been done in terms of the THD in the input current waveform. The findings of the present work show that the incorporation of Boost PFC eliminates the harmonics in the IH system in a better manner than the existing techniques. Doi: 10.28991/HIJ-2021-02-02-05 Full Text: PD
Combination of GIS with Different Technologies for Water Quality: An Overview
Get PDFWater is one of the most important requirements in daily life, which represents the largest part of the Earth. As a result, economic, industrial, and social development in most countries has led to increased pollution of water resources. It is, therefore, necessary to monitor water quality continuously to prevent a future catastrophe that adversely affects the quality and quantity of water wealth. A Geographic Information System (GIS) is used in various fields to monitor and analyze data collected from different geographical locations. Integration of GIS and other technologies has become an indispensable tool. This gives us direct control over solution expansion, cost reduction, powerful complex case analysis, as well as increased accuracy and efficiency of geospatial data. In recent years, many combinations of GIS with different technologies such as remote sensing, wireless sensor networks, and internet of things approaches have been proposed due to the rapid progress of technology development in many applications. However, in the last several years, no review articles have been published about water quality using the integration of GIS and other technologies. Therefore, this paper investigates the status of continuous search in the field of GIS and its integration with other technologies (Remote Sensing, Internet of Things, Web, etc.) for water quality management and monitoring to maintain the water resources in a proper way. Finally, the integration of GIS with these technologies creates a powerful platform for analyzing and processing big data and mapping geographic remotely in less time, at a lower cost, at a higher speed, with more accurate details, and in real time when compared to traditional geographic information systems. This paper also highlights future research trends on the cooperation of GIS with other technologies for matters that are related to water quality. Doi: 10.28991/HIJ-2021-02-03-10 Full Text: PD
Assessing the Impact of Digitalization and Technology on Patient Compliance in Healthcare Services
Get PDFNowadays, technology is omnipresent and an integral part of everyday life. Because patient compliance is a determinant of the treatment outcome, it is therefore essential for medical staff to know and understand how technology can cause patients to rightly or poorly adhere to their treatment. The objectives of this research were to investigate the major technology-related factors, which affect patient compliance, assess patients` reactions which are associated to poor adherence to treatment and determine the right measures, attitudes and behaviors for healthcare professionals to adopt to optimize patient compliance. The research was undertaken using a mixed methods approach whereby the quantitative data collected was analyzed using descriptive statistics while the qualitative data collected was analyzed using the Grounded Theory method. It was found that the vast amount of information and communication services offered by technology nowadays can adversely influence certain factors such as patients` trust, attitude, comprehension, apprehension, confusion, frustration, and personal emotions, which in turn can affect patient compliance. It was also found that technology could positively affect patient compliance as it offers interesting tools that can, for example, remind patients about their appointments, medications, and routines while they are undergoing treatment. This paper presents major insights on the impact of technology on patient compliance and helps healthcare organizations optimize the patient experience in the digital age. Doi: 10.28991/HIJ-2021-02-03-06 Full Text: PD
Challenges and Risks in the Due Diligence Process Answered with an Innovative Approach
Get PDFIn existing academic studies on the Due Diligence process, the different areas have been considered separately. This is time-consuming and causes inefficiencies. The proposed approach to Due Diligence integrates these separate areas into one process. While every company's success can be defined by a few key factors, these differ by industry. The goal of this analysis is to develop a basis for decision-making regarding Mergers and Acquisitions for small- and medium-sized manufacturing companies. It also has a positive impact on the success rate of mergers and acquisition transactions by generating a scorecard model that enables the potential acquirer to perform an overall analysis of the existing data as well as to generate an informed outlook for the future using a standardized and efficient approach. The model is based on different research methods. First of all, a literature research was conducted to define the theoretical framework. There are two main areas, the Strategic Controlling on the one hand, and M&A, on the other hand. The theoretical findings are specified through expert interviews. The expert interviews are semi-standardized. There is a quantitative and a qualitative part. Based on the analysis, a concept for a leaner DD approach has been developed. The article presents a summary of the research. Doi: 10.28991/HIJ-2021-02-01-06 Full Text: PD
Alternative Approach for Improvement Sustainable Supply Chain Management in the Large European Container Ports
Get PDFThe main objectives of the EU transport policy relate to the limitation of the negative environmental impact of ports. Similarly, companies are adopting sustainable supply chain management practices to respond to policymakers' and consumers' demands for sustainable operations. This paper aims to discover how the largest European container ports communicate about their efforts to improve the sustainability of their operations to find out how the ports themselves see their position as a part of the transition towards more sustainable supply chain operations. Based on the study, different large European container ports consider environmental issues differently. The risk is that some ports may get competitive advantages by slipping on environmental questions. Alternatively, if the port does not take sustainability questions seriously and it gets a bad reputation, the risk is that the customers and consumers do not accept the port's behavior and shipping companies start to avoid that port. Doi: 10.28991/HIJ-2021-02-02-06 Full Text: PD
Assessing the Effects of COVID-19 on Accommodations Availabilities and Prices
Get PDFIn 2020, a new pandemic, named COVID-19, has been spreading all over the world, causing a reduction in activities, including in the tourism sector. This paper tries to quantify the effects of COVID-19 on accommodations, with a particular focus on prices trend and accommodation availability. Experiments simulated more than 400 accommodation bookings over the period of time before, during, and after the wave of the pandemic caused by COVID-19. The analysis was done for the city of Pisa, but it could be generalized to all the other cities, provided that there is an availability of data. The typology with the highest drop in availability was that of 2-star hotels, with a maximum decrease of 66%. Even the 4 and 3-star hotels were clearly affected by the pandemic, recording maximum drops of 36% for 4-star hotels and 25% for 3-star hotels. Regarding the analysis of prices trend, the categories most affected by the pandemic were hotels, hostels, and tourist villages, which recorded significant price increases. The major novelty of this paper involves the definition of a strategy, which can be used to analyze the impact of COVID-19 on accommodations, as well as the release of the DOTApy software for the extraction of data. Doi: 10.28991/HIJ-2021-02-03-07 Full Text: PD
Optimization of Fuzzy Support Vector Machine (FSVM) Performance by Distance-Based Similarity Measure Classification
Get PDFThis research aims to determine the maximum or minimum value of a Fuzzy Support Vector Machine (FSVM) Algorithm using the optimization function. As opposed to FSVM, which is less effective on large and complex data because of its sensitivity to outliers and noise, SVM is considered an effective method of data classification. One of the techniques used to overcome this inefficiency is fuzzy logic, with its ability to select the right membership function, which significantly affects the effectiveness of the FSVM algorithm performance. This research was carried out using the Gaussian membership function and the Distance-Based Similarity Measurement consisting of the Euclidean, Manhattan, Chebyshev, and Minkowsky distance methods. Subsequently, the optimization of the FSVM classification process was determined using four proposed FSVM models and normal SVM as comparison references. The results showed that the method tends to eliminate the impact of noise and enhance classification accuracy effectively. FSVM provides the best and highest accuracy value of 94% at a penalty parameter value of 1000 using the Chebyshev distance matrix. Furthermore, the model proposed will be compared to the performance evaluation model in preliminary studies. The result further showed that using FSVM with a Chebyshev distance matrix and a Gaussian membership function provides a better performance evaluation value. Doi: 10.28991/HIJ-2021-02-04-02 Full Text: PD
Engine Downsizing; Global Approach to Reduce Emissions: A World-Wide Review
Get PDFEngine downsizing is a promising method to reduce emissions and fuel consumption of internal combustion engines. The main concept is to reduce engine displacement volume while keeping the needed output characteristics unchanged. The issue has become one of the most current fields of interest in recent years after the International Energy Agency set a target of a 50% reduction in global average emissions by the year 2030. In this review paper, different aspects of researchers' efforts on engine downsizing are configured and, due to overlaps, categorized into five main areas. Each category is discussed thoroughly, and recent works are highlighted. The global attention in these categories, the countries involved and the trend change in the last four years are presented in detail. Doi: 10.28991/HIJ-2021-02-04-010 Full Text: PD
Overcoming the Obstacle of Time-dependent Model Output for Statistical Analysis by Nonlinear Methods
Get PDFModelica models represent static or dynamic systems. Their outputs can be scalar (numbers) or time-dependent (time series). The most advanced mathematical methods for the analysis of numerical models cannot cope with functional outputs. This paper aims to show an efficient method to reduce a time-dependent output to a few numbers. Principal component analysis is a well-established method for dimension reduction and can be used to tackle this issue. It relies, however, on a linear hypothesis that limits its applicability. We adapt and implement an existing method called the auto-associative model, invented by Stéphane Girard, to overcome this shortcoming. The auto-associative model generalizes PCA as it projects the data on a nonlinear (instead of linear) basis. It also provides physically interpretable data representations. The difference in efficiency between both methods is illustrated in a case study of the well-known bouncing ball model. We perform output reduction and reconstruction using both methods to compare the completeness of information kept throughout the dimension reduction process. Doi: 10.28991/HIJ-2021-02-01-01 Full Text: PD