Search results for: thoughtful decision support system

Authors: Almas Athif Fathin Wiyantoro, Fransiskus Xaverius Ivan Budiman, Fithra Faisal Hastiadi

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The growth of clothing and technology as a marketing tool has a great influence on online business owners to know how much the characteristics and psychology of consumers in influencing purchasing decisions made by Indonesian women consumers. One of the most important issues faced by Indonesian women consumers is the suitability of clothing. The suitability of clothing can affect the body cathexis, identity, and confidence. So the thematic analysis of clothing fitness and body cathexis of women consumers when and after using virtual fitting room technology to purchase decision is important to do. This research using group method of pre-post treatment and considers how the recruitment technique of snowball sampling, which uses interpersonal relations and connections between people, both includes and excludes individuals into 39 participants' social networks to access specific populations. The results obtained from the study that the results of body scans and photos of virtual fitting room results can be made an intervention in women consumers in assessing their body cathexis objectively in the process of making purchasing decisions. The study also obtained a regression equation Y = 0.830 + 0.290X1 + 0.292X2, showing a positive relationship between suitability of clothing and body cathexis which influenced purchasing decisions on women consumers and after (personal and psychological factors) using virtual fitting room, meaning that all independent variables influence Positive towards the purchasing decision of the women consumers.

Keywords: body cathexis, clothing fitness, purchasing decision making and virtual fitting room

Procedia PDF Downloads 213

Authors: Mesfin Nigussie Ibido

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The study is designed to explore the effects of land certification in securing women’s land rights of two rural villages in Robe district at Arsi Zone of Oromia regional state. The land is very critical assets for human life survival and the backbone for rural women livelihood. Equal access and control power to the land have given a chance for rural women to participate in different economic activities and improve their bargaining ability for decision making on their rights. Unfortunately, women were discriminated and marginalized from access and control of land for centuries through customary practices. However, in many countries, legal reform is used as a powerful tool for eliminating discriminatory provisions in property rights. Among other equity and efficiency concerns, the land certification program in Ethiopia attempts to address gender bias concerns of the current land-tenure system. The existed rural land policy was recognizing a women land rights and benefited by strengthened wives awareness of their land rights and contribute to the strong involvement of wives in decision making. However, harmful practices and policy implementation problems still against women do not fully exercise a provision of land rights in a different area of the country. Thus, this study is carried out to examine the effect of land certification in securing women’s land rights by eliminating the discriminatory nature of cultural abuses of study areas. Probability and non-probability sampling types were used, and the sample size was determined by using the sampling distribution of the proportion method. Systematic random sampling method was applied by taking the nth element of the sample frame. Both quantitative and qualitative research methods were applied, and survey respondents of 192 households were conducted and administering questionnaires in the quantitative method. The qualitative method was applied by interviews with focus group discussions with rural women, case stories, Village, and relevant district offices. Triangulation method was applied in data collection, data presentation and in the analysis of findings. Study finding revealed that the existence of land certification is affected by rural women positively by advancing their land rights, but still, some women are challenged by unsolved problems in the study areas. The study forwards recommendation on the existed problems or gaps to ensure women’s equal access to and control over land in the study areas.

Keywords: decision making, effects, land certification, land right, tenure security

Procedia PDF Downloads 206

Authors: Vuk M. Popovic, Dunja D. Popovic

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Software maintenance phase is started once a software project has been developed and delivered. After that, any modification to it corresponds to maintenance. Software maintenance involves modifications to keep a software project usable in a changed or a changing environment, to correct discovered faults, and modifications, and to improve performance or maintainability. Software maintenance and management of software maintenance are recognized as two most important and most expensive processes in a life of a software product. This research is basing the prediction of maintenance, on risks and time evaluation, and using them as data sets for working with neural networks. The aim of this paper is to provide support to project maintenance managers. They will be able to pass the issues planned for the next software-service-patch to the experts, for risk and working time evaluation, and afterward to put all data to neural networks in order to get software maintenance prediction. This process will lead to the more accurate prediction of the working hours needed for the software-service-patch, which will eventually lead to better planning of budget for the software maintenance projects.

Keywords: laboratory information system, maintenance engineering, neural networks, software maintenance, software maintenance costs

Procedia PDF Downloads 358

Authors: Mohsen Shirani, Micaela Demichela

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Food supply chain is one of the most complex supply chain networks due to its perishable nature and customer oriented products, and food safety is the major concern for this industry. IT system could help to minimize the production and consumption of unsafe food by controlling and monitoring the entire system. However, there have been many issues in adoption of IT system in this industry specifically within SMEs sector. With this regard, this study presents a novel approach to use IT and tractability systems in the food supply chain, using application of RFID and central database.

Keywords: food supply chain, IT system, safety, SME

Procedia PDF Downloads 477

Authors: Marwa Abdulsalam, Osamu Suzuki, Wirawan Dony Dahana

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One of the remarkable and unique industries in Japan is the food samples industry which can be noticed in most of the restaurants located around Japan. However, the market is getting saturated, which has pushed Japanese food sample manufacturers to start exploring new international markets. Most of the markets they explored were in the East Asian region, such as China or Korea. In this research, we examine the feasibility and the potential adoption rate of food samples in the international market outside the East Asian region. The main focus of this study is on the Saudi Arabian market. Nonetheless, since Saudi Arabia is a big market, the study results could possibly be applied to the international market as well. The study has conducted a quantitative survey to test the potential of the food samples industry in Saudi Arabia especially in 4 major cities: Jeddah, Mecca, Riyadh, and Dammam. The survey also tests the willingness to purchase, the average price point that the consumer is willing to pay for food samples, and the factors that drive restaurant owners to adopt the food samples system. The study created a correlation analysis between different factors, such as the geographic factor and the size of the restaurant factor, to examine the effect of different aspects on the purchasing decision. The study has found that the Japanese food samples system is predicted to adapt successfully in the Saudi Arabian market and in the international market alike due to the high importance of the food culture and the existence of the communication challenges that the food samples can solve. Additionally, the market survey stated in this study indicated that 83% of the restaurants’ managers are willing to adopt this system in their restaurants.

Keywords: food samples, innovative marketing, international market, marketing method

Procedia PDF Downloads 109

Authors: S. Abdourraziq, M. A. Abdourraziq

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One of the most famous and important applications of solar energy systems is water pumping. It is often used for irrigation or to supply water in countryside or private firm. However, the cost and the efficiency are still a concern, especially with a continued variation of solar radiation and temperature throughout the day. Then, the improvement of the efficiency of the system components is one of the different solutions to reducing the cost. In this paper, we will present a detailed definition of each element of a PV pumping system, and we will present the different MPPT algorithm used in the literature. Our system consists of a PV panel, a boost converter, a motor-pump set, and a storage tank.

Keywords: PV cell, converter, MPPT, MPP, PV pumping system

Procedia PDF Downloads 158

Authors: Suraj Mehrotra

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The stock market is a volatile, bustling marketplace that is a cornerstone of economics. It defines whether companies are successful or in spiral. A thorough understanding of it is important - many companies have whole divisions dedicated to analysis of both their stock and of rivaling companies. Linking the world of finance and artificial intelligence (AI), especially the stock market, has been a relatively recent development. Predicting how stocks will do considering all external factors and previous data has always been a human task. With the help of AI, however, machine learning models can help us make more complete predictions in financial trends. Taking a look at the stock market specifically, predicting the open, closing, high, and low prices for the next day is very hard to do. Machine learning makes this task a lot easier. A model that builds upon itself that takes in external factors as weights can predict trends far into the future. When used effectively, new doors can be opened up in the business and finance world, and companies can make better and more complete decisions. This paper explores the various techniques used in the prediction of stock prices, from traditional statistical methods to deep learning and neural networks based approaches, among other methods. It provides a detailed analysis of the techniques and also explores the challenges in predictive analysis. For the accuracy of the testing set, taking a look at four different models - linear regression, neural network, decision tree, and naïve Bayes - on the different stocks, Apple, Google, Tesla, Amazon, United Healthcare, Exxon Mobil, J.P. Morgan & Chase, and Johnson & Johnson, the naïve Bayes model and linear regression models worked best. For the testing set, the naïve Bayes model had the highest accuracy along with the linear regression model, followed by the neural network model and then the decision tree model. The training set had similar results except for the fact that the decision tree model was perfect with complete accuracy in its predictions, which makes sense. This means that the decision tree model likely overfitted the training set when used for the testing set.

Keywords: machine learning, testing set, artificial intelligence, stock analysis

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Authors: Hyunchul Ahn, William X. S. Wong

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Corporate credit rating prediction is one of the most important topics, which has been studied by researchers in the last decade. Over the last decade, researchers are pushing the limit to enhance the exactness of the corporate credit rating prediction model by applying several data-driven tools including statistical and artificial intelligence methods. Among them, multiclass support vector machine (MSVM) has been widely applied due to its good predictability. However, heuristics, for example, parameters of a kernel function, appropriate feature and instance subset, has become the main reason for the critics on MSVM, as they have dictate the MSVM architectural variables. This study presents a hybrid MSVM model that is intended to optimize all the parameter such as feature selection, instance selection, and kernel parameter. Our model adopts genetic algorithm (GA) to simultaneously optimize multiple heterogeneous design factors of MSVM.

Keywords: corporate credit rating prediction, Feature selection, genetic algorithms, instance selection, multiclass support vector machines

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Authors: M. Khairudin

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This paper investigates the system identification and design quantitative feedback theory (QFT) for the robust control of a lathe spindle. The dynamic of the lathe spindle is uncertain and time variation due to the deepness variation on cutting process. System identification was used to obtain the dynamics model of the lathe spindle. In this work, real time system identification is used to construct a linear model of the system from the nonlinear system. These linear models and its uncertainty bound can then be used for controller synthesis. The real time nonlinear system identification process to obtain a set of linear models of the lathe spindle that represents the operating ranges of the dynamic system. With a selected input signal, the data of output and response is acquired and nonlinear system identification is performed using Matlab to obtain a linear model of the system. Practical design steps are presented in which the QFT-based conditions are formulated to obtain a compensator and pre-filter to control the lathe spindle. The performances of the proposed controller are evaluated in terms of velocity responses of the the lathe machine spindle in corporating deepness on cutting process.

Keywords: lathe spindle, QFT, robust control, system identification

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Authors: Taner Ersoz, Filiz Ersoz, Seyma Ozbilge

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In this study, the clients who applied to a bank branch for loan were analyzed through data mining. The study was composed of the information such as amounts of loans received by personal and SME clients working with the bank branch, installment numbers, number of delays in loan installments, payments available in other banks and number of banks to which they are in debt between 2010 and 2013. The client risk profile was examined through Classification and Regression Tree (CART) analysis, one of the decision tree classification methods. At the end of the study, 5 different types of customers have been determined on the decision tree. The classification of these types of customers has been created with the rating of those posing a risk for the bank branch and the customers have been classified according to the risk ratings.

Keywords: client classification, loan suitability, risk rating, CART analysis

Procedia PDF Downloads 338

Authors: E. Erdogan, M. Ulusoy

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In terms of tourism, the concept of sustainability can be defined as preserving and developing natural, historical, cultural, social, and aesthetic values and enabling their permanency. Sustainable tourism aims to preserve natural, historical, cultural, and social resources, also by supporting economic progress protecting economic development and environmental values that emerge as a consequence of tourism activities. Cultural tourism feeds on sustainable cultural treasures inherently and is the most effective touristic activity. Traditional configurations and structural characteristics play an important role in generating cultural tourism in a region. Sustainable cultural tourism is related to trips upon people who embark with the aim of visiting culturally rich regions, learning about and observing fast-disappearing lifestyles and collecting cultural values as memories. With its huge tourism potential, Karadağ is the most significant cultural asset of the Karaman province, possessing unique riches in terms of cultural world history. Host to one of the most important Byzantine cities in Anatolia, Karadağ is like an open-air museum with its unparalleled architectural structures. There is a village named Madenşehir in the plain at the outskirts of Karadağ, near to which are located the “Thousand and One Churches” ruins. The 80-household house is located near the ruins in an area that been declared a 1st degree historic preservation district. stones gathered from local churches were used in the construction of these households. A ministry has assigned a new residential site near the boundaries of the 2nd degree preservation district, and the decision has been made to move the occupants to this area. The most important issue here is to enable locals’ sociocultural and socioeconomic sustainability. It is also important to build these structures in a manner compatible with the historical visual look, ecological system and environmental awareness. Therefore this new site will be planned as touristic area in terms of sustainable cultural tourism and in these new plans, shall fulfill functions oriented toward both tourists and locals. It is very important that this change be sustainable and also support cultural tourism.

Keywords: cultural tourism, new village settlement, socio cultural sustainability, “thousand and one churches” site

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Authors: Doaa Nounou

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This research examines the public policy energy subsidies reform efforts in Egypt since 2014. Egypt’s widely used energy subsidies have been controversial since they were first introduced, as they inadequately target the poorest part of the population. Also, their effect on economic development and democratic transition became very challenging in recent years. This research argues that although subsidy reform is a highly politicalized issue in democratizing countries, there are still a number of pragmatic public policies that can be applied to make the subsidy system function more efficiently and at the same time decrease inequality which could facilitate a more orderly and peaceful transition to democracy. Therefore, this research attempts to study the role of the executive branch in reforming the subsidy programmes to support the poor and bring about structural changes to achieve social justice and economic growth. This research also attempts to analyze the role of the military and civil society in reforming the subsidy system. Moreover, it attempts to discuss the role of the state media in social mobilization to rationalize consumption and its contribution to subsidies reform.

Keywords: subsidies, public policy, political economy, democratization, equality

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Authors: Wipanee Maen-In

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The objectives of the research are i) to study the motivations of european and scandinavian tourists who select Ranong province as their destinations ii) to study their perception towards the Ranong Province and iii) to study the visitors’ decision making while visiting Ranong Province. The samples of the study are 220 European and Scandinavian tourists’ visitors at the Ranong by accidental sampling and in clouding online questionnaires for 53 sampling. The data analysis includes Percentage, Frequency and One-way ANOVA. The findings from the research are the motivation level of the visitors is considered prominent, the average score of the motivational factors ranks higher than the average of the pull factors to visit the Ranong province when considering the factors analysis, the research shows that the reason that most tourists visit the Ranong is for relaxation while the purity of the natural mineral hot springs is the most important pull factor.

Keywords: European and Scandinavian, Ranong province, tourists’ perceptions, visitors’ decision making

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Authors: Mirzet SeHo, Alaa Alaabed, Mansur Masih

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In theory, risk-sharing-based financing (RSF) is considered a corner stone of Islamic finance. It is argued to render Islamic banks more resilient to shocks. In practice, however, this feature of Islamic financial products is almost negligible. Instead, debt-based instruments, with conventional like features, have overwhelmed the nascent industry. In addition, the framework of present-day economic, regulatory and financial reality inevitably exposes Islamic banks in dual banking systems to problems of conventional banks. This includes, but is not limited to, interest rate risk. Empirical evidence has, thus far, confirmed such exposures, despite Islamic banks’ interest-free operations. This study applies system GMM in modeling the determinants of RSF, and finds that RSF is insensitive to changes in interest rates. Hence, our results provide support to the “stability” view of risk-sharing-based financing. This suggests RSF as the way forward for risk management at Islamic banks, in the absence of widely acceptable Shariah compliant hedging instruments. Further support to the stability view is given by evidence of counter-cyclicality. Unlike debt-based lending that inflates artificial asset bubbles through credit expansion during the upswing of business cycles, RSF is negatively related to GDP growth. Our results also imply a significantly strong relationship between risk-sharing deposits and RSF. However, the pass-through of these deposits to RSF is economically low. Only about 40% of risk-sharing deposits are channeled to risk-sharing financing. This raises questions on the validity of the industry’s claim that depositors accustomed to conventional banking shun away from risk sharing and signals potential for better balance sheet management at Islamic banks. Overall, our findings suggest that, on the one hand, Islamic banks can gain ‘independence’ from conventional banks and interest rates through risk-sharing products, the potential for which is enormous. On the other hand, RSF could enable policy makers to improve systemic stability and restrain excessive credit expansion through its countercyclical features.

Keywords: Islamic banks, risk-sharing, financing, interest rate, dynamic system GMM

Procedia PDF Downloads 316

Authors: Mykah W. Sumoldao, Maria Erissa C. Susa, Triny Cate M. Telan, Christian Arvin M. Torres, Jasmine I. Udasco, Franceis Jeramil M. Walis, Shellyn S. Wandagan, Janine May M. Warding, Queenie Diana Rose P. Zalun Hope Lulet A. Lomioan

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This descriptive phenomenological study explored the lived experiences of the primary caregiver of schizophrenia patients at the Acute Crisis Intervention Service in Cagayan Valley Medical Center. The research aimed to understand the emotional, physical, and financial challenges these primary caregivers face. Data was gathered through interviews with nine (9) primary caregivers and analyzed using Colaizzi’s seven-step method. Two main themes emerged: Experience/ Challenges (Emotional, Physical, and Financial Challenges) and Managing Mechanisms (Support Systems and Resilience and Commitment). The study found that primary caregivers deal with a complex mix of difficulties, often with limited resources. They rely heavily on personal strength, faith, family, friends and community support to manage their roles. The findings highlighted the need for better support systems to ease primary caregivers' burdens. Financial aid, respite care, and mental health support are crucial for improving primary caregivers' quality of life and the care they provide. Additionally, raising awareness about primary caregivers' challenges can foster a supportive community, with more help from local organizations and government entities. Thus, this study provided insights into the caregiving experiences of those supporting schizophrenia patients. It emphasized the importance of practical support and emotional resilience. By addressing these needs, a more supportive environment can be created, benefiting both primary caregivers and their patients.

Keywords: primary caregiver burden, mental health, primary caregiver well-being, primary caregiver

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Authors: Filiz Ersoz, Taner Ersoz, Erkin Guler

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This paper addresses the issues and technique for textile industry using data mining techniques. Data mining has been applied to the stitching of garments products that were obtained from a textile company. Data mining techniques were applied to the data obtained from the CHAID algorithm, CART algorithm, Regression Analysis and, Artificial Neural Networks. Classification technique based analyses were used while data mining and decision model about the production per person and variables affecting about production were found by this method. In the study, the results show that as the daily working time increases, the production per person also decreases. In addition, the relationship between total daily working and production per person shows a negative result and the production per person show the highest and negative relationship.

Keywords: data mining, textile production, decision trees, classification

Procedia PDF Downloads 349

Authors: Arne Koschel

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This article discusses event monitoring options for heterogeneous event sources as they are given in nowadays heterogeneous distributed information systems. It follows the central assumption, that a fully generic event monitoring solution cannot provide complete support for event monitoring; instead, event source specific semantics such as certain event types or support for certain event monitoring techniques have to be taken into account. Following from this, the core result of the work presented here is the extension of a configurable event monitoring (Web) service for a variety of event sources. A service approach allows us to trade genericity for the exploitation of source specific characteristics. It thus delivers results for the areas of SOA, Web services, CEP and EDA.

Keywords: event monitoring, ECA, CEP, SOA, web services

Procedia PDF Downloads 744

Authors: Nighat Ayub, Masood Ahmad

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In this paper, a new voting system is developed and its usability is evaluated. The main feature of this system is the biometric verification of the voter and then a few easy steps to cast a vote. As compared to existing systems available, e.g dual vote, the new system requires no training in advance. The security is achieved via multiple key concept (another part of this project). More than 100 student voters were participated in the election from University of Malakanad, Chakdara, PK. To achieve the reliability, the voters cast their votes in two ways, i.e. paper based and electronic based voting using our new system. The results of paper based and electronic voting system are compared and it is concluded that the voters cast their votes for the intended candidates on the electronic voting system. The voters were requested to fill a questionnaire and the results of the questionnaire are carefully analyzed. The results show that the new system proposed in this paper is more secure and usable than other systems.

Keywords: e-voting, security, usability, authentication

Procedia PDF Downloads 392

Authors: Thomas Meier

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One of the major challenges for sustainable smart building systems is to support device interoperability, i.e. connecting sensor or actuator devices from different vendors, and present their functionality to the external applications. Furthermore, smart building systems are supposed to connect with devices that are not available yet, i.e. devices that become available on the market sometime later. It is of vital importance that a sustainable smart building platform provides an appropriate external interface that can be leveraged by external applications and smart services. An external platform interface must be stable and independent of specific devices and should support flexible and scalable usage scenarios. A typical approach applied in smart home systems is based on a generic device interface used within the smart building platform. Device functions, even of rather complex devices, are mapped to that generic base type interface by means of specific device drivers. Our new approach, presented in this work, extends that approach by using the smart building system’s rule engine to create complex virtual devices that can represent the most diverse properties of real devices. We examined and evaluated both approaches by means of a practical case study using a smart building system that we have developed. We show that the solution we present allows the highest degree of flexibility without affecting external application interface stability and scalability. In contrast to other systems our approach supports complex virtual device configuration on application layer (e.g. by administration users) instead of device configuration at platform layer (e.g. platform operators). Based on our work, we can show that our approach supports almost arbitrarily flexible use case scenarios without affecting the external application interface stability. However, the cost of this approach is additional appropriate configuration overhead and additional resource consumption at the IoT platform level that must be considered by platform operators. We conclude that the concept of complex virtual devices presented in this work can be applied to improve the usability and device interoperability of sustainable intelligent building systems significantly.

Keywords: Internet of Things, smart building, device interoperability, device integration, smart home

Procedia PDF Downloads 271

Authors: L. M. Chinh

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Vam Cong Bridge beside Can Tho Bridge is the next cable-stayed bridge spanning the Hau River, connecting Lap Vo district with Thot Not district. After construction by the end of 2018, the Vam Cong Bridge with Cao Lanh Bridge will help to improve the road network in this region of Mekong Delta. For this bridge, the SHM system also had designed for two stages – construction stage and exploitation stage. At the moment over 65% of the bridge construction had completed, and the bridge will be completed at the end of 2018. During the construction stage, the SHM system had been install to monitor behaviors of the bridge. Based on the study of the design documentation of the SHM system of the Vam Cong Bridge and site visit during construction work, many designs and installation errors have been detected. In this paper author thoroughly analyzed the pros and cons of this SHM system, simultaneously make conclusions and recommendations for this system. Specially concentrated on the possibility of implementing the acoustic emission method (AE) into this SHM system, which is an alternative to the further development of the system, enabling a full and cost-effective solution for the bridge management, which is of utmost importance for the service life and safe operation of the bridge.

Keywords: SHM system, design and installation, Vam Cong bridge, construction stage, acoustic emission method (AE)

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Authors: Werner Roux Uys

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The Commissioner for the South African Revenue Service (SARS) holds a high position of trust in South African society and a lack of trust by taxpayers in the Commissioner’s actions or conduct could compromise SARS’ management of public finances. Tax morality – which is implicit in the social contract between taxpayers and the state – includes distinct phenomena that can cause a breakdown if there is a perceived lack of action on the part of the Commissioner to ensure public finances are kept safe. To promote tax morality, the Commissioner must support the judiciary in the exercise of its discretion to punish fraudulent tax activities and corrupt tax practices. For several years the political meddling in the Commissioner’s actions and conduct have caused perceived abuse of power at SARS, and taxpayers believed their hard-earned income paid over to SARS would be fruitless and wasteful expenditure. The purpose of this article is to identify and analyse previous decisions held by the South African judiciary regarding the Commissioner’s actions and conduct in tax matters, as well as consider important political statements and newspaper bulletins for the purpose of this research. The study applies a qualitative research approach and exploratory case study technique. Keywords were selected and inserted in the LexisNexis electronic database to systematically identify applicable case law where the ratio decidendi of the court referred to the actions and/or conduct of the Commissioner. Specific real-life statements, including political statements and newspaper bulletins, were selected to support the topic at hand. The purpose of the study is to educate the public about the perceptions that have transformed taxpayers’ behaviour towards the Commissioner for SARS since South Africa’s fledgling constitutional democracy was inaugurated in 1994. The study adds to the literature by identifying key characteristics or distinct phenomena regarding the actions and conduct of the Commissioner affecting taxpayers’ behaviour, including discretionary decision-making. From the findings, it emerged that SARS must abide by its (own) laws and that there is a need to educate not only South African taxpayers about tax morality, but also the public in general.

Keywords: commissioner, SARS, action and conduct, judiciary, discretionry, decsion-making

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Authors: David C. Nwogbo

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Examining the impact of federalism on good governance is crucial for enhancing governance in Nigeria. This study focuses on the Federal Capital Territory (FCT), Abuja, as a case study. Employing a descriptive survey design, data was collected to explore the relationship between federalism and good governance in Abuja, Nigeria. A stratified random sampling method was used to select 289 respondents from the population of Abuja. The sample size was determined using a formula based on precision and population size. A survey questionnaire was employed to gather information on respondents' demographics, perceptions, and experiences concerning federalism and good governance in the FCT. Descriptive statistics, such as percentages and means, were utilized to analyze the study's findings. The findings provided insights into the perceptions and experiences of residents of the FCT with regard to the relationship between federalism and good governance. The results of this study will be useful for policy and decision-making related to the implementation of these concepts in Nigeria and, more specifically, in the FCT, Abuja. The study found that the majority of respondents believe that the federal system of government has not been effective in promoting accountability, transparency, and reducing corruption in Nigeria. There is a need for reforms to improve the effectiveness of the federal system in promoting good governance. These reforms include strengthening institutions, reallocation of resources, reform of the electoral system, decentralization of power, strengthening the role of the judiciary, capacity building, promoting transparency, and engagement of civil society. The findings also highlight the need for significant reforms to address these challenges and promote good governance in the country. The results of this study can be used to inform policy decisions and guide future research on the subject.

Keywords: accountability, federalism, good, governance

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Authors: Abdulah Fajar

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Electronic Procurement System has been implemented at government institution in Indonesia. This system has been developed centrally at Institution of National Procurement Policy (LKPP) and implemented autonomously at either local or national government institution. The lack of competency at many institution on Information Technology Management arise several major problems. The main concern of LKPP to local administrator is assured that the system is running normally and always be able to serve the needs of its users. Monitoring system has been identified as the one of solution to prevent the problems appeared. Monitoring system is developed using Simple Network Management Protocol (SNMP) and implemented at LKPP. There are two modules; Main Dashboard and Local Agent. Main Dashboard is intended for LKPP and Local Agent is intended to implement at local autonomous e-procurement system (LPSE). There are several resources that must be monitored such as computation, memory and network traffic. Agile paradigm is applied to this project to assure user and system requirement is met. The length of project is the one of reason why agile paradigm has been chosen. The system has been successfully delivered to LKPP.

Keywords: procurement system, SNMP, LKPP, LPSE

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Authors: Rajashekhar K. Patil, Martin J. Babu

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Weaver ants-Oecophylla smaragdina live in colonies that have polymorphic castes. The females which include the queen, major and minor workers are haploid. The individuals of castes are dependent on olfactory cues for carrying out caste-specific behaviour. In an effort to understand whether organizational differences exist to support these behavioural differences, we studied the olfactory system at the level of the sensilla on the antennae, olfactory glomeruli and the Kenyon cells in the mushroom bodies (MB). The MB differ in major and minor workers in terms of their size, with the major workers having relatively larger calyces and peduncle. The morphology of different types of Kenyon cells as revealed by Golgi-rapid staining was studied and the major workers had more dendritic arbors than minor workers. This suggests a greater degree of olfactory processing in major workers. Differences in caste-specific arrangement of sensilla, olfactory glomeruli and celluar architecture of MB indicate a developmental programme that forms basis of differential behaviour.

Keywords: ant, oecophylla, caste, mushroom body

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Authors: Gyeongbeom Yi

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The purpose of this study is to introduce the analytic solution for determining the optimal capacity (lot-size) of a multiproduct, multistage production and inventory system to meet the finished product demand. Reasonable decision-making about the capacity of processes and storage units is an important subject for industry. The industrial solution for this subject is to use the classical economic lot sizing method, EOQ/EPQ (Economic Order Quantity/Economic Production Quantity) model, incorporated with practical experience. However, the unrealistic material flow assumption of the EOQ/EPQ model is not suitable for chemical plant design with highly interlinked processes and storage units. This study overcomes the limitation of the classical lot sizing method developed on the basis of the single product and single stage assumption. The superstructure of the plant considered consists of a network of serially and/or parallelly interlinked processes and storage units. The processes involve chemical reactions with multiple feedstock materials and multiple products as well as mixing, splitting or transportation of materials. The objective function for optimization is minimizing the total cost composed of setup and inventory holding costs as well as the capital costs of constructing processes and storage units. A novel production and inventory analysis method, PSW (Periodic Square Wave) model, is applied. The advantage of the PSW model comes from the fact that the model provides a set of simple analytic solutions in spite of a realistic description of the material flow between processes and storage units. The resulting simple analytic solution can greatly enhance the proper and quick investment decision for plant design and operation problem confronted in diverse economic situations.

Keywords: analytic solution, optimal design, process-storage network

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Authors: Robert Joseph M. Licup

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The deployment of the fifth-generation (5G) mobile system through mmWave frequencies is the new solution in the requirement to provide higher bandwidth readily available for all users. The usage pattern of the mobile users has moved towards either the work from home or online classes set-up because of the pandemic. Previous mobile technologies can no longer meet the high speed, and bandwidth requirement needed, given the drastic shift of transactions to the home. The millimeter-wave (mmWave) underutilized frequency is utilized by the fifth-generation (5G) cellular networks that support multi-gigabit-per-second (Gbps) transmission. However, due to its short wavelengths, high path loss, directivity, blockage sensitivity, and narrow beamwidth are some of the technical challenges that need to be addressed. Different tools, technologies, and scenarios are explored to support network design, accurate channel modeling, implementation, and deployment effectively. However, there is a big challenge on how the consumer will adopt this solution and maximize the benefits offered by the 5G Technology. This research proposes to study the intricacies of technology diffusion, individual attitude, behaviors, and how technology adoption will be attained. The agent based simulation model shaped by the actual applications, technology solution, and related literature was used to arrive at a computational model. The research examines the different attributes, factors, and intricacies that can affect each identified agent towards technology adoption.

Keywords: agent-based model, AnyLogic, 5G O21, 5G mmWave solutions, technology adoption

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Authors: Pavitra Sharma, Anuradha Singh, Nupur Mathur

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There exist more than 100 trillion bacteria in the digestive system of human-beings. Such bacteria are referred to as gut microbiota. Gut microbiota comprises around 75% of our immune system. The bacteria that comprise the gut microbiota are unique to every individual and their composition keeps changing with time owing to factors such as the host’s age, diet, genes, environment, and external medication. Of these factors, the variable easiest to control is one’s diet. By modulating one’s diet, one can ensure an optimal composition of the gut microbiota yielding several health benefits. Prebiotics and probiotics are two compounds that have been considered as viable options to modulate the host’s diet. Prebiotics are basically plant products that support the growth of good bacteria in the host’s gut. Examples include garden asparagus, aloe vera etc. Probiotics are living microorganisms that exist in our intestines and play an integral role in promoting digestive health and supporting our immune system in general. Examples include yogurt, kimchi, kombucha etc. In the context of modulating the host’s diet, the key attribute of prebiotics is that they support the growth of probiotics. By developing the right combination of prebiotics and probiotics, food products or supplements can be created to enhance the host’s health. An effective combination of prebiotics and probiotics that yields health benefits to the host is referred to as synbiotics. Synbiotics comprise of an optimal proportion of prebiotics and probiotics, their application benefits the host’s health more than the application of prebiotics and probiotics used in isolation. When applied to food supplements, synbiotics preserve the beneficial probiotic bacteria during storage period and during the bacteria’s passage through the intestinal tract. When applied to the gastrointestinal tract, the composition of the synbiotics assumes paramount importance. Reason being that for synbiotics to be effective in the gastrointestinal tract, the chosen probiotic must be able to survive in the stomach’s acidic environment and manifest tolerance towards bile and pancreatic secretions. Further, not every prebiotic stimulates the growth of a particular probiotic. The prebiotic chosen should be one that not only maintains 2 balance in the host’s digestive system, but also provides the required nutrition to probiotics. Hence in each application of synbiotics, the prebiotic-probiotic combination needs to be carefully selected. Once the combination is finalized, the exact proportion of prebiotics and probiotics to be used needs to be considered. When determining this proportion, only that amount of a prebiotic should be used that activates metabolism of the required number of probiotics. It was observed that while probiotics are active is both the small and large intestine, the effect of prebiotics is observed primarily in the large intestine. Hence in the host’s small intestine, synbiotics are likely to have the maximum efficacy. In small intestine, prebiotics not only assist in the growth of probiotics, but they also enable probiotics to exhibit a higher tolerance to pH levels, oxygenation, and intestinal temperature

Keywords: microbiota, probiotics, prebiotics, synbiotics

Procedia PDF Downloads 135

Authors: Sreejith Gopinath, Aspen Olmsted

Abstract:

This paper is based on our previous work that proposed a risk-transference-based architecture for healthcare systems to store sensitive data outside the system boundary, rendering the system unattractive to would-be bad actors. This architecture also allows a compromised system to be abandoned and a new system instance spun up in place to ensure business continuity without paying a ransom or engaging with a bad actor. This paper delves into the details of various attacks we simulated against the prototype system. In the paper, we discuss at length the time and computational costs associated with storing and retrieving data in the prototype system, abandoning a compromised system, and setting up a new instance with existing data. Lastly, we simulate some analytical workloads over the data stored in our specialized data storage system and discuss the time and computational costs associated with running analytics over data in a specialized storage system outside the system boundary. In summary, this paper discusses the total costs of data storage, access, and analytics incurred with the proposed architecture.

Keywords: cybersecurity, healthcare, ransomware, resilience, risk transference

Procedia PDF Downloads 132

Authors: Zarah M. Bello, Nathan Baddoo, Mariana Lilley, Paul Wernick

Abstract:

In this paper, we present findings from a multi-part study to evaluate candidate elements reflecting the level of digital capability maturity (DCM) in higher education and the relationship between these elements. We will use these findings to propose a model of DCM for educational institutions. We suggest that the success of learning in higher education is dependent in part on the level of maturity of digital capabilities of institutions as well as the abilities of learners and those who support the learning process. It is therefore important to have a good understanding of the elements that underpin this maturity as well as their impact and interactions in order to better exploit the benefits that technology presents to the modern learning environment and support its continued improvement. Having identified ten candidate elements of digital capability that we believe support the level of a University’s maturity in this area as well as a number of relevant stakeholder roles, we conducted two studies utilizing both quantitative and qualitative research methods. In the first of these studies, 85 electronic questionnaires were completed by various stakeholders in a UK university, with a 100% response rate. We also undertook five in-depth interviews with management stakeholders in the same university. We then utilized statistical analysis to process the survey data and conducted a textual analysis of the interview transcripts. Our findings support our initial identification of candidate elements and support our contention that these elements interact in a multidimensional manner. This multidimensional dynamic suggests that any proposal for improvement in digital capability must reflect the interdependency and cross-sectional relationship of the elements that contribute to DCM. Our results also indicate that the notion of DCM is strongly data-centric and that any proposed maturity model must reflect the role of data in driving maturity and improvement. We present these findings as a key step towards the design of an operationalisable DCM maturity model for universities.

Keywords: digital capability, elements, maturity, maturity framework, university

Procedia PDF Downloads 143

Authors: Abbas Hani, Maryam Jassasizadeh

Abstract:

The concentrations of Cd, Pb, and Ni were determined from 40 soil samples collected in surface soils of Khark Island. Geostatistic methods and GIS were used to identify heavy metal sources and their spatial pattern. Principal component analysis coupled with correlation between heavy metals showed that level of mentioned heavy metal was lower than the standard level. Then the data obtained from the soil analyzing were studied for the purposes of normal distribution. The best way of interior finding for cadmium and nickel was ordinary kriging and the best way of interpolation of lead was inverse distance weighted. The result of this study help us to understand heavy metals distribution and make decision for remediation of soil pollution.

Keywords: geostatistics, ordinary kriging, heavy metals, GIS, Khark

Procedia PDF Downloads 167