Search results for: processing programs

Authors: M. Kustyawati, F. Pratama, D. Saputra, A. Wijaya

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Tempe composes of not only molds but also bacteria and yeasts. The structure of microorganisms needs to be in balance number in order the tempe to be an acceptable quality for an extended time. Sub supercritical carbon dioxide can be a promising preservation method for tempe as it induces microbial inactivation avoiding alterations of its quality attributes. Fresh tempe were processed using supercritical and sub supercritical CO2 for a defined holding times, then the growth ability of molds and bacteria were analyzed. The results showed that the supercritical CO2 processing for 5 minutes reduced the number of bacteria and molds to 0.30 log cycle and 1.17 log cycles, respectively. In addition, sub supercritical CO2 processing for 20 minutes had fungicidal effect against mold tempe; whereas, the sub supercritical CO2 for 10 minutes had reducing effect against bacteria tempe, and had fungistatic affect against mold tempe. It suggested that sub-supercritical CO2 processing for 10 min could be useful alternative technique for preservation of tempe.

Keywords: tempe, sub supercritical CO2, fungistatic effect, preservation

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Authors: Yuan-Hsiang Chang, Zhong-Xian Peng, Li-Der Jeng

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Music has always been an integral part of human’s daily lives. But, for the most people, reading musical score and turning it into melody is not easy. This study aims to develop an Automatic music score recognition system using digital image processing, which can be used to read and analyze musical score images automatically. The technical approaches included: (1) staff region segmentation; (2) image preprocessing; (3) note recognition; and (4) accidental and rest recognition. Digital image processing techniques (e.g., horizontal /vertical projections, connected component labeling, morphological processing, template matching, etc.) were applied according to musical notes, accidents, and rests in staff notations. Preliminary results showed that our system could achieve detection and recognition rates of 96.3% and 91.7%, respectively. In conclusion, we presented an effective automated musical score recognition system that could be integrated in a system with a media player to play music/songs given input images of musical score. Ultimately, this system could also be incorporated in applications for mobile devices as a learning tool, such that a music player could learn to play music/songs.

Keywords: connected component labeling, image processing, morphological processing, optical musical recognition

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Authors: James Barmby

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Canada’s westernmost provinces of British Columbia and Alberta are similar in many respects as they are both reliant on volatile natural resources for major portions of their economies. The two provinces have banded together to develop mutually beneficial trade, investment and labour market mobility rules, but in terms of developing systems of higher education, the two provinces are attempting to align higher education programs to economic development objectives by means that are quite different. In British Columbia, the recently announced initiative, B.C’s Skills for Jobs Blueprint will “make sure education and training programs are aligned with the demands of the labor market.” Meanwhile in Alberta, the province’s institutions of higher education are enjoying the tenth year of their membership in the Campus Alberta Quality Council, which makes recommendations to government on issues related to post-secondary education, including the approval of new programs. In B.C., public institutions of higher education are encouraged to comply with government objectives, and are rewarded with targeted funds for their efforts. In Alberta, the institutions as a system tell the government what programs they want to offer and government can agree or not agree to fund these programs through a ministerial approval process. In comparing the two higher education systems, the question emerges as to which one is more beneficial to the province: the one where change is directed primarily by financial incentives to achieve economic objectives or the one that makes recommendations to the government for changes in programs to achieve institutional objectives? How is institutional autonomy affected in each strategy? Does institutional autonomy matter anymore? In recent years, much has been written in regard to academic freedom, but less about institutional autonomy, which is seen by many as essential to protecting academic freedom. However, while institutional autonomy means freedom from government control, it does not necessarily mean self-government. In this study, a comparison of the two higher education systems is made using recent government policy initiatives in both provinces, and responses to those actions by the higher education institutions. The findings indicate that the economic needs in both provinces take precedence over issues of institutional autonomy.

Keywords: alberta, British Columbia, institutional autonomy, funding

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Authors: E. Grochowska-Niedworok, K. Brukało, M. Hadasik, M. Kardas

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Consumption of vegetables by school children and adolescents is essential for their normal growth, development and health, but a significant minority of the world's population consumes the right amount of these products. The aim of the study was to evaluate the preferences and frequency of consumption of vegetables by school children and adolescents. It has been assumed that effectively implemented nutrition education programs should have an impact on increasing the frequency of vegetable consumption among the recipients. The study covered 514 students of five schools in the Opole Voivodeship aged 9 years to 22 years. The research tool was an author's questionnaire, which consisted of closed questions on the frequency of vegetable consumption and the use of 10 ways to treat them. Preferences and frequencies are shown in percentages, while correlations were estimated on the basis of Cramer`s V and gamma coefficients. In each of the examined age groups, the relationship between sex and vegetable consumption (the Cramer`s V coefficient value was 0.06 to 0.38) was determined and the various methods of culinary processing were used (V Craméra was 0.08 to 0.34). For both sexes, the relationship between age and frequency of vegetable consumption was shown (gamma values ranged from ~ 0.00 to 0.39) and different cooking methods (gamma values were 0.01 to 0.22). The most important determinant of nutritional choices is the taste and availability of products. The fact that they have a positive effect on their health is only in third position. As has been shown, obesity prevention programs can not only address nutrition education but also teach about new flavors and increase the availability of healthy foods. In addition, the frequency of vegetable consumption can be a good indicator reflecting the healthy behaviors of children and adolescents.

Keywords: children and adolescents, frequency, welfare rate, vegetables

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Authors: Mst Shapna Akter, Hossain Shahriar

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Neural network approaches are machine learning methods used in many domains, such as healthcare and cyber security. Neural networks are mostly known for dealing with image datasets. While training with the images, several fundamental mathematical operations are carried out in the Neural Network. The operation includes a number of algebraic and mathematical functions, including derivative, convolution, and matrix inversion and transposition. Such operations require higher processing power than is typically needed for computer usage. Central Processing Unit (CPU) is not appropriate for a large image size of the dataset as it is built with serial processing. While Graphics Processing Unit (GPU) has parallel processing capabilities and, therefore, has higher speed. This paper uses advanced Neural Network techniques such as VGG16, Resnet50, Densenet, Inceptionv3, Xception, Mobilenet, XGBOOST-VGG16, and our proposed models to compare CPU and GPU resources. A system for classifying autism disease using face images of an autistic and non-autistic child was used to compare performance during testing. We used evaluation matrices such as Accuracy, F1 score, Precision, Recall, and Execution time. It has been observed that GPU runs faster than the CPU in all tests performed. Moreover, the performance of the Neural Network models in terms of accuracy increases on GPU compared to CPU.

Keywords: autism disease, neural network, CPU, GPU, transfer learning

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Authors: Cristina Costa-Lobo, Ana Medeiros, Ana Campina

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This study refers to the appropriateness of the psychopedagogical intervention programs focused on the adjustment and psychological well-being of children with characteristics of giftedness and the interests of promoting specialized and permanent follow-up to these children. It was intended to find out the impact on perceived self-efficacy in children with characteristics of giftedness after the frequency of a psychopedagogical intervention program. For this was applied to Multidimensional Scale Perceived Self-Efficacy, in two times (pre and post program frequency), in a quasi-experimental design. Innovative data are presented in reports to the relationship of perceived self-efficacy with giftedness, highlighting the evidence of this program focusing on the development of personal, social and emotional skills, applied to 20 children with characteristics of giftedness, in Northern Portugal, in the 2014-2015 school year, have no influence on perceived self-efficacy of children with characteristics of giftedness. The main implication of this research is congruent with the conclusions of studies that point that the greatest challenge in the education of children with characteristics of giftedness is to extend the traditional investment in intellectual production and creative capital to include an equal investment in social capital and the development of competencies of executive functions, dimensions that development programs stimulate. This study appeals to the need of children with characteristics of giftedness to be targets of psychopedagogical intervention programs with the constant specialization and constant updating of the knowledge of the professionals who work with them, motivated by being individuals with such specific and ever-changing characteristics reflecting an inclusive school life.

Keywords: giftedness, perceived self-efficacy, EMAEP, psychopedagogical intervention programs

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Authors: T. Holecki, J. Wozniak-Holecka, P. Romaniuk

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Due to the highly centralized model of financing health care in Poland, local self-government rarely undertook their own initiatives in the field of public health, particularly health promotion. However, since 2017 the possibility of applying for a subsidy to health policy programs has been allowed, with the additional resources to be retrieved from the National Health Fund, which is the dominant payer in the health system. The amount of subsidy depends on the number of inhabitants in a given unit and ranges about 40% of the total cost of the program. The aim of this paper is to assess the impact of newly implemented solutions in financing health policy on the management of public finances, as well as on the activity provided by local self-government in health promotion. An effort to estimate the amount of expenses that both local governments, and the National Health Fund, spent on local health policy programs while implementing the new solutions. The research method is the analysis of financial data obtained from the National Health Fund and from local government units, as well as reports published by the Agency for Health Technology Assessment and Pricing, which holds substantive control over the health policy programs, and releases permission for their implementation. The study was based on a comparative analysis of expenditures on the implementation of health programs in Poland in years 2010-2018. The presentation of the results includes the inclusion of average annual expenditures of local government units per 1 inhabitant, the total number of positively evaluated applications and the percentage share in total expenditures of local governments (16 voivodships areas). The most essential purpose is to determine whether the assumptions of the subsidy program are working correctly in practice, and what are the real effects of introducing legislative changes into local government levels in the context of public health tasks. The assumption of the study was that the use of a new motivation tool in the field of public management would result in multiplication of resources invested in the provision of health policy programs. Preliminary conclusions show that financial expenditures changed significantly after the introduction of public funding at the level of 40%, obtaining an increase in funding from own funds of local governments at the level of 80 to 90%.

Keywords: health care system, health policy programs, local self-governments, public health management

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Authors: Mehmet Savsar

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Several factors affect productivity of Food Processing Assembly Lines (FPAL). Engineers and line managers usually do not recognize some of these factors and underutilize their production/assembly lines. In this paper, a special food processing assembly line is studied in detail, and procedures are presented to illustrate how productivity and efficiency of such lines can be increased. The assembly line considered produces ten different types of freshly prepared salads on the same line, which is called mixed model assembly line. Problems causing delays and inefficiencies on the line are identified. Line balancing and related tools are used to increase line efficiency and minimize balance delays. The procedure and the approach utilized in this paper can be useful for the operation managers and industrial engineers dealing with similar assembly lines in food processing industry.

Keywords: assembly lines, line balancing, production efficiency, bottleneck

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Authors: Hamad Albadr

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With the growth that has occurred in the orientation of universities from liability cognitive and maintain the culture of the community to liability functional creating graduates to work according to the needs of the community development; representing the university in today's world, the prime mover of the wheel of development in the community and find appropriate solutions to the problems they are facing and adapt to the demands of the changing environment. This paper deals with the role of Saudi universities as institutions, government agencies, non-governmental organizations and the extent of its responsibility to the environmental awareness of the community members in various segments, where it will use the research methodology descriptive and analytical, to gather information, data and analysis answers the study sample consisting of 1500 people from the staff of the Saudi universities: The members of the faculty, and members of the administrative and technical bodies, and current students, 500 of them are responsible for employment in the labor sector and graduates. Where will review the paper to identify the extent to which the objectives of the academic programs in Saudi universities to the needs of the community, and the extent to which the course content submitted to the characteristics of the local environment for the community and how he benefited them to ensure its conformity with the changing needs of society, and how to address the research presented in academic programs to the needs of society and its problems , and the extent to which graduate students to deal enough of social responsibility and commitment to community service and the preservation of the environment, and the availability of a clear policy to serve the community with the academic programs, and how to encourage faculty, staff and students to participate in community service. And the availability of counseling services for school students for vocational guidance, scientific, environmental, and the contribution of Academic Programs publishes scientific and technical culture and the environmental community members.

Keywords: universities in Saudi Arabia, environmental awareness, academic programs, environmental community

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Authors: Danielle Klassen, Reiko Yeap, Margo Schmitt-Boshnick, Scott Oddie

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The development of the 7-week Alberta Happiness Basics program was initiated in 2010 in response to the need for community mental health programming. This provincial wide program aims to increase overall happiness and reduce negative thoughts and feelings through a positive psychology intervention. While the 7-week program has proven effective, a shortened 4-week program has additionally been developed to address client needs. In this study, participants were interviewed to determine if the 4- and 7-week programs had similar success of producing lasting behavior change at 3, 6, and 9 months post-program. A health quality of life (HQOL) measure was also used to compare the two programs and examine patient outcomes. Quantitative and qualitative analysis showed significant improvements in HQOL and sustainable behavior change for both programs. Findings indicate that the shorter, patient-centered program was effective in increasing happiness and reducing negative thoughts and feelings.

Keywords: primary care, mental health, depression, short duration

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Authors: Hanaa M. Abdelgawad, Mona Safar, Ayman M. Wahba

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Real-time image and video processing is a demand in many computer vision applications, e.g. video surveillance, traffic management and medical imaging. The processing of those video applications requires high computational power. Therefore, the optimal solution is the collaboration of CPU and hardware accelerators. In this paper, a Canny edge detection hardware accelerator is proposed. Canny edge detection is one of the common blocks in the pre-processing phase of image and video processing pipeline. Our presented approach targets offloading the Canny edge detection algorithm from processing system (PS) to programmable logic (PL) taking the advantage of High Level Synthesis (HLS) tool flow to accelerate the implementation on Zynq platform. The resulting implementation enables up to a 100x performance improvement through hardware acceleration. The CPU utilization drops down and the frame rate jumps to 60 fps of 1080p full HD input video stream.

Keywords: high level synthesis, canny edge detection, hardware accelerators, computer vision

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Authors: Antonyous Fawzy Boshra Girgis

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Nutrition labels are diet-related health policies. They help individuals improve food-choice decisions and reduce intake of calories and unhealthy food elements, like cholesterol. However, many individuals do not pay attention to nutrition labels or fail to appropriately understand them. According to the literature, thinking and cognitive styles can have significant effects on attention to nutrition labels. According to the author's knowledge, the effect of global/local processing on attention to nutrition labels has not been previously studied. Global/local processing encourages individuals to attend to the whole/specific parts of an object and can have a significant impact on people's visual attention. In this study, this effect was examined with an experimental design using the eye-tracking technique. The research hypothesis was that individuals with local processing would pay more attention to nutrition labels, including nutrition tables and traffic lights. An experiment was designed with two conditions: global and local information processing. Forty participants were randomly assigned to either global or local conditions, and their processing style was manipulated accordingly. Results supported the hypothesis for nutrition tables but not for traffic lights.

Keywords: nutrition, public health, SA Harvest, foodeye-tracking, nutrition labelling, global/local information processing, individual differencesmobile computing, cloud computing, nutrition label use, nutrition management, barcode scanning

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Authors: Paulu Saramge Shalika Nirupani Seram

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The study delves into the complex dynamics of social networks and how they affect paddy farmers’ adoption of agricultural technologies, which are included in Yaya Development program, Weedy rice program and Good Agricultural Practices (GAP) program in Matara district. Identify the social networks among the farmers of ongoing Extension Programs in Matara district, examine the farmers’ adoption level to the ongoing extension programs in Matara district, analyze the impacts of social networks for the adoption to the technologies of ongoing extension programs and give suggestions and recommendations to improve the social network of paddy farmers in Matara District for ongoing extension programs are the objectives of this research. A structured questionnaire survey was conducted with 25 farmers from Matara-North (Wilpita), 25 farmers from Matara-Central (Kamburupitiya), and 25 farmers from Matara-South (Malimbada). UCINET (Version -6.771) software was used for social network analysis, and other than that, descriptive statistics and inferential statistics were used to analyze the findings. Matara-North has the highest social network density, and Matara-South has the lowest social network density according to the social network analysis. Dissemination of intensive technologies requires the most prominent actors of the social network, and in Matara district, agricultural instructors have the highest ability to disseminate technologies. The influence of actors in the social network, the trustworthiness of AI officers, and the trust of indigenous knowledge about paddy cultivation have a significant effect on the technology adoption of farmers. The research endeavors to contribute a nuanced understanding of the social networks and agricultural technology adoption in Matara District, offering practical insights for stakeholders involved in agricultural extension services.

Keywords: agricultural extension, paddy cultivation, social network, technology adoption

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Authors: Khaled M. Alhawiti

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This paper investigates the future of medicine and the use of Natural language processing. The importance of having correct clinical information available online is remarkable; improving patient care at affordable costs could be achieved using automated applications to use the online clinical information. The major challenge towards the retrieval of such vital information is to have it appropriately coded. Majority of the online patient reports are not found to be coded and not accessible as its recorded in natural language text. The use of Natural Language processing provides a feasible solution by retrieving and organizing clinical information, available in text and transforming clinical data that is available for use. Systems used in NLP are rather complex to construct, as they entail considerable knowledge, however significant development has been made. Newly formed NLP systems have been tested and have established performance that is promising and considered as practical clinical applications.

Keywords: clinical information, information retrieval, natural language processing, automated applications

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Authors: Kim Katherine Castillo, Nelson John Datubatang, Terrence Phillip Dy, Norelie Hampac, Reichen Crismark Martinez, Nina Faith Pantinople, Jose Dante Santos II, Marchel Ann Santos, Sophia Abigail Santiago, Zyrill Xsar San Juan, Aira Mae Tagao, Crystal Kylla Viagedor

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The Work Immersion Program was implemented to help students gain abundant work-related experiences while on-site; additionally, the program aims to help students improve their competencies and interpersonal skills as they are given the option to join the workforce if they ever choose to do so after senior high school. The work immersion experience posed diverse challenges for students, spanning personal, financial, engagement, environmental, and equipment-related domains. These included the need for assistance in time management, transportation expenses, and procurement of materials. Furthermore, students faced difficulties in independent task completion and encountered suboptimal work environments. Addressing these multifaceted obstacles is crucial to optimize the educational outcomes of work immersion programs. In addition to the challenges, several other issues have been identified, including the absence of standardized work immersion programs across schools and industries, the challenges in securing appropriate work immersion placements, the necessity for enhanced monitoring and evaluation of program effectiveness, and the limited availability of field programs aligned with students' chosen courses. Furthermore, there is a lack of comprehensive information regarding the attitudes of Senior High School students toward work immersion programs within their respective schools. This study aims to investigate the attitudes of senior high school students at Nazareth School of National University towards work immersion programs, with a focus on identifying factors that influence their perception and participation, including collegiality and expectations. By exploring the students' attitudes, the research endeavors to enhance the school's work immersion programs and contribute to the overall educational experience of the students. This study addresses challenges related to work immersion programs, focusing on six subtopics: Work Immersion, Work Immersion in the Philippines, Students' Attitudes, Factors Affecting Students' Attitudes, Effectiveness of Work Immersion for Senior High School Students, and Students' Perception and Willingness to Participate. Using a descriptive research design, the study examines the attitudes of senior high school students at Nazareth School of National University in Manila. Data was collected from 100 students, representing different academic strands, through a 35-item researcher-made survey. Descriptive statistics, including measures of central tendency and variability, will be used to analyze the data using JASP, providing valuable insights into the students' attitudes toward work immersion.

Keywords: attitudes, challenges, educational outcomes, work immersion programs

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Authors: Do Jaesoo, Kim Kyoung Seok

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Under the recent difficult economic conditions, a number of people are increasingly expecting fostering ventures as the breakthrough in economic recovery and thus more attention is socially paid to an entrepreneur spirit. However, even though the role of managers is very important for the success of a venture company, programs to cultivate their qualities and skills are quite insufficient. In recent years, programs to foster entrepreneurs and business men have proliferated, which are led mainly by national agencies, research institutions, and large corporations. However, these programs still remain at a tottering stage, since there is no accumulated knowledge in many aspects, including systemic know-how and education. Therefore, this study attempted to introduce the definition of the entrepreneur (founder’s) spirit and furthermore identify the characteristics required for entrepreneurs as the subject of management. It thus tried to examine how those characteristics have an influence on entrepreneurs as their successful conditions, and presented foreign cases after analyzing the entrepreneur spirit through case studies. The entrepreneur spirit and the venture management emerge as a new field in business administration and scholars have reported various theories. Further research activities and efforts for active exchanges are also needed thereof.

Keywords: venture, entrepreneur, entrepreneur (founder’s) spirit, characteristics of entrepreneur spirit

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Authors: Sanjay Singh, Sushil Kumar, Rashmi Jain

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Quantum registering is another pattern in computational hypothesis and a quantum mechanical framework has a few helpful properties like Entanglement. We plan to store data concerning the structure and substance of a basic picture in a quantum framework. Consider a variety of n qubits which we propose to use as our memory stockpiling. In recent years classical processing is switched to quantum image processing. Quantum image processing is an elegant approach to overcome the problems of its classical counter parts. Image storage, retrieval and its processing on quantum machines is an emerging area. Although quantum machines do not exist in physical reality but theoretical algorithms developed based on quantum entangled states gives new insights to process the classical images in quantum domain. Here in the present work, we give the brief overview, such that how entangled states can be useful for quantum image storage and retrieval. We discuss the properties of tripartite Greenberger-Horne-Zeilinger and W states and their usefulness to store the shapes which may consist three vertices. We also propose the techniques to store shapes having more than three vertices.

Keywords: Greenberger-Horne-Zeilinger, image storage and retrieval, quantum entanglement, W states

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Authors: H. Hussain, N. H. Mohamad

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Practical experiences have been one of the successful criteria for the Project Management course for the art and design students. There are series of events that the students have to undergo as part of their practical exercises in the learning context for Project Management courses. These series have been divided into few mini programs that involved the whole individual in each group. Therefore, the events have been one of the bench marks for these students. Through the practical experience, the task that has been given to individual has been performed according to the needs of professional practice and ethics.

Keywords: practical experience, project management, art and design students, events, programs

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Authors: Obidimma Ezezika

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In light of the increasing importance of trust in development programs, the purpose of this study, was to identify how trust functions as an essential key determinant in successful innovation and technology development programs. Using projects in the agricultural sector as case studies, we determined how the concept of trust is understood. Our data collection relied on semi-structured, face-to-face interviews conducted as part of a larger study investigating the role of trust in development programs. Interview transcripts were analyzed to create a narrative on how trust is understood by the study’s participants and how trust functions in fostering innovation. We identified six themes and showed how trust plays an important factor in innovation. These themes included the practice of integrity and honesty; delivery of results in an accountable manner; capability and competency; sharing of the same objectives and interests; transparency about actions and intentions through clear communication; and the targeting of services toward the interests of the public. The results of this study can provide guidance on how to enhance implementation mechanisms and provide impetus for organizations to implement trust building activities in fostering effective innovation.

Keywords: trust, research, innovation, technology

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Authors: Dong Liu

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By sending a high-frequency probe wave and a low-frequency pump wave to a specimen, the vibroacoustic method evaluates the defect’s severity according to the modulation index of the received signal. Many studies experimentally proved the significant sensitivity of the modulation index to the tiny contact type defect. However, it has also been found that the modulation index was highly affected by the frequency of probe or pump waves. Therefore, the chirp signal has been introduced to the VAM method since it can assess multiple frequencies in a relatively short time duration, so the robustness of the VAM method could be enhanced. Consequently, the signal processing method needs to be modified accordingly. Various studies utilized different algorithms or combinations of algorithms for processing the VAM signal method by chirp excitation. These signal process methods were compared and used for processing a VAM signal acquired from the steel samples.

Keywords: vibroacoustic modulation, nonlinear acoustic modulation, nonlinear acoustic NDT&E, signal processing, structural health monitoring

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Authors: Zachary Smith, Riette Bloomfield, Taylor Dukate, Joshua Halterman, Noah Phillips

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College students have stressful lives, classes, work, and home life; it all adds up to anxiety and stress. Most students can manage the stress, but some can’t and need help. Mental health issues are on the rise among college-age students, which could lead to other health issues, depression, or even suicidal thoughts. There needs to be an outlet for these students, and one suggestion is participating in sports or exercise/recreation activities. “Strong body, strong mind” is a concept that has been researched for many decades now. While that has been preached, depression and anxiety have still been at an all-time high in college students within the last five years. College students are expected to stay on top of their academic coursework, obtain and keep relationships, adjust to living independently, and economic strain. As p oor mental health becomes inherent, struggles academically, dropping out of school, becoming involved in immoral situations, or as far as committing suicide, can be seen shortly after. This research proposal examines the positive impact of sports on students' mental health in post-secondary education programs. The study aims to investigate how participation in college sports can alleviate stress, anxiety, and depression, improve mood and focus, and contribute to better academic performance. With the increasing prevalence of mental health issues among college students and the growing emphasis on mental health awareness, this research is significant for understanding and managing collegiate sports programs. Overall, sports help with mental and physical health for all ages.

Keywords: mental health, sports, college students, recreation programs

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Authors: Fausto Morais

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Artificial intelligence has been widely used in law. Programs are able to classify suits, to identify decision-making patterns, to predict outcomes, and to formalize legal arguments as well. In Brazil, the artificial intelligence victor has been classifying cases to supreme court’s standards. When those programs act doing those tasks, they simulate some kind of legal decision and legal arguments, raising doubts about how artificial intelligence can be integrated into legal reasoning. Taking this into account, the following three issues are identified; the problem of hypernormatization, the argument of legal anthropocentrism, and the artificial legal principles. Hypernormatization can be seen in the Brazilian legal context in the Supreme Court’s usage of the Victor program. This program generated efficiency and consistency. On the other hand, there is a feasible risk of over standardizing factual and normative legal features. Then legal clerks and programmers should work together to develop an adequate way to model legal language into computational code. If this is possible, intelligent programs may enact legal decisions in easy cases automatically cases, and, in this picture, the legal anthropocentrism argument takes place. Such an argument argues that just humans beings should enact legal decisions. This is so because human beings have a conscience, free will, and self unity. In spite of that, it is possible to argue against the anthropocentrism argument and to show how intelligent programs may work overcoming human beings' problems like misleading cognition, emotions, and lack of memory. In this way, intelligent machines could be able to pass legal decisions automatically by classification, as Victor in Brazil does, because they are binding by legal patterns and should not deviate from them. Notwithstanding, artificial intelligent programs can be helpful beyond easy cases. In hard cases, they are able to identify legal standards and legal arguments by using machine learning. For that, a dataset of legal decisions regarding a particular matter must be available, which is a reality in Brazilian Judiciary. Doing such procedure, artificial intelligent programs can support a human decision in hard cases, providing legal standards and arguments based on empirical evidence. Those legal features claim an argumentative weight in legal reasoning and should serve as references for judges when they must decide to maintain or overcome a legal standard.

Keywords: artificial intelligence, artificial legal principles, hypernormatization, legal anthropocentrism argument, legal reasoning

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Authors: Garima Joshi, Pratap Sharan, V. Sreenivas, Nand Kumar, Kameshwar Prasad, Ashima N. Wadhawan

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Schizophrenia is a debilitating disorder and is marked by cognitive impairment, which deleteriously impacts the social and professional functioning along with the quality of life of the patients and the caregivers. Often the cognitive symptoms are in their prodromal state and worsen as the illness progresses; they have proven to have a good predictive value for the prognosis of the illness. It has been shown that intensive cognitive rehabilitation (CR) leads to improvements in the healthy as well as cognitively-impaired subjects. As the majority of population in India falls in the lower to middle socio-economic status and have low education levels, using the existing packages, a majority of which are developed in the West, for cognitive rehabilitation becomes difficult. The use of technology is also restricted due to the high costs involved and the limited availability and familiarity with computers and other devices, which pose as an impedance for continued therapy. Cognitive rehabilitation in India uses a plethora of retraining methods for the patients with schizophrenia targeting the functions of attention, information processing, executive functions, learning and memory, and comprehension along with Social Cognition. Psychologists often have to follow an integrative therapy approach involving social skills training, family therapy and psychoeducation in order to maintain the gains from the cognitive rehabilitation in the long run. This paper reviews the methodologies and cognitive retaining programs used in India. It attempts to elucidate the evolution and development of methodologies used, from traditional paper-pencil based retraining to more sophisticated neuroscience-informed techniques in cognitive rehabilitation of deficits in schizophrenia as home-based or supervised and guided programs for cognitive rehabilitation.

Keywords: schizophrenia, cognitive rehabilitation, neuropsychological interventions, integrated approached to rehabilitation

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Authors: Seongsoo Lee

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Motion estimation occupies the heaviest computation in HEVC (high efficiency video coding). Many fast algorithms such as TZS (test zone search) have been proposed to reduce the computation. Still the huge computation of the motion estimation is a critical issue in the implementation of HEVC video codec. In this paper, motion estimator architecture with optimized number of PEs (processing element) is presented by exploiting early termination. It also reduces hardware size by exploiting parallel processing. The presented motion estimator architecture has 8 PEs, and it can efficiently perform TZS with very high utilization of PEs.

Keywords: motion estimation, test zone search, high efficiency video coding, processing element, optimization

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Authors: Shantam Gupta

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The objective of this study is to address the critical need for automation in the domestic food processing sector and study its impact. Food is the one of the most basic physiological needs essential for the survival of a living being. Some of them have the capacity to prepare their own food (like most plants) and henceforth are designated as primary food producers; those who depend on these primary food producers for food form the primary consumers’ class (herbivores). Some of the organisms relying on the primary food are the secondary food consumers (carnivores). There is a third class of consumers called tertiary food consumers/apex food consumers that feed on both the primary and secondary food consumers. Humans form an essential part of the apex predators and are generally at the top of the food chain. But still further disintegration of the food habits of the modern human i.e. Homo sapiens, reveals that humans depend on other individuals for preparing their own food. The old notion of eating raw/brute food is long gone and food processing has become very trenchant in lives of modern human. This has led to an increase in dependence on other individuals for ‘processing’ the food before it can be actually consumed by the modern human. This has led to a further shift of humans in the classification of food chain of consumers. The effects of the shifts shall be systematically investigated in this paper. The processing of food has a direct impact on the economy of the individual (consumer). Also most individuals depend on other processing individuals for the preparation of food. This dependency leads to establishment of a vital link of dependency in the food web which when altered can adversely affect the food web and can have dire consequences on the health of the individual. This study investigates the challenges arising out due to this dependency and the impact of food processing on the economy of the individual. A comparison of Industrial food processing and processing at domestic platforms (households and restaurants) has been made to provide an idea about the present scenario of automation in the food processing sector. A lot of time and energy is also consumed while processing food at home for consumption. The high frequency of consumption of meals (greater than 2 times a day) makes it even more laborious. Through the medium of this study a pressing need for development of an automatic cooking machine is proposed with a mission to reduce the inter-dependency & human effort of individuals required for the preparation of food (by automation of the food preparation process) and make them more self-reliant The impact of development of this product has also further been profoundly discussed. Assumption used: The individuals those who process food also consume the food that they produce. (They are also termed as ‘independent’ or ‘self-reliant’ modern human beings.)

Keywords: automation, food processing, impact on economy, processing individual

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Authors: Agustinus Bandur, Dyah Budiastuti

Abstract:

With the rapid development of information and communication technology (ICT) in globalisation era, higher education (HE) internationalisation has become a worldwide phenomenon. However, even though various studies have been widely published in existing literature, the settings of these studies were taken places in developed countries. Accordingly, the major purpose of this article is to explore the current trends of higher education internationalisation programs with particular reference to identify the benefits and challenges confronted by participating staff and students. For these purposes, ethnographic qualitative study with the usage of NVivo 11 software was applied in coding, analyzing, and visualization of non-numeric data gathered from interviews, videos, web contents, social media, and relevant documents. Purposive sampling technique was applied in this study with a total of ten high-ranked accredited government and private universities in Indonesia. On the basis of thematic and cross-case analyses, this study indicates that while Australia has led other countries in dual-degree programs, partner universities from Japan and Korea have the most frequent collaboration on student exchange programs. Meanwhile, most visiting scholars who have collaborated with the universities in this study came from the US, the UK, Japan, Australia, Netherlands, and China. Other European countries such as Germany, French, and Norway have also conducted joint research with Indonesian universities involved in this study. This study suggests that further supports of government policy and grants are required to overcome the challenges as well as strategic leadership and management roles to achieve high impacts of such programs on higher education quality.

Keywords: higher education, internationalisation, challenges, Indonesia

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Authors: Samaniego Campoverde José Enrique, Rosero Muñoz Jorge Enrique, Luzcando Narea Lorena Elizabeth

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This paper presents a practical and theoretical model for the operation of the Tesla coil using digital signal processing. The research is based on the analysis of ten scientific papers exploring the development and operation of the Tesla coil. Starting from the Testa coil, several modifications were carried out on the Tesla coil, with the aim of amplifying the digital signal by making use of digital signal processing. To achieve this, an amplifier with a transistor and digital filters provided by MATLAB software were used, which were chosen according to the characteristics of the signals in question.

Keywords: tesla coil, digital signal process, equalizer, graphical environment

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Authors: Angelika Dorawa, Lena Kreppel

Abstract:

Writing in the disciplines plays a major role at Universities. On the one hand, lectures look at the substance of assignments and on the other hand, they expect students to meet professional standards of layout and proofreading. However, the integration of writing concepts into the range of subjects is new to German Universities of Applied Sciences, which are focused on technical and scientific contexts. The Westphalian University of Applied Sciences (WH) established a successful program Talente_schreiben (Writing_Talents) that was funded by the Federal Ministry of Education and Research to improve written language skills for first-semester students at the WH. Besides having the main focus on basic language skills on all language levels, we also concentrate on subject-specific programs such as writing in the disciplines and are pioneers in this field in Germany. Since 2013, we started to include learning-to-write programs since first-semester students of Business Law studies must complete a writing assignment in the form and writing style of a legal opinion in order to fulfill their undergraduate degree requirements. To support our students at its best, our course for business lawyers focuses not only on the writing skills per se, but also on teaching both, the content and the particular discourse of the discipline. Hence, a specialist in German studies and a faculty tutor share the experience of processing, producing and reflecting a text. Whereas the German studies specialist refers to the rhetorical context such as orthography, grammar etc., the tutor acts as a guide on the side referring to the course content itself. In our presentation, we want to give an insight of the practice of a business law discipline, the combination of rhetoric and composition and discuss the methodological and didactic approaches.

Keywords: German for business lawyers, talent development, pioneer program, Germany

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Authors: Morteza Mohri Esfahani, Amir S. H. Rozatian, Morteza Mozaffari

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Single phase magnetite nanoparticles and Bi-substituted ones were prepared by mechanochemical processing (MCP). The effects of Bi-substitution on the structural and magnetic properties of the nanoparticles were studied by X-ray Diffraction (XRD) and magnetometry techniques, respectively. The XRD results showed that all samples have spinel phase and by increasing Bi content, the main diffraction peaks were shifted to higher angles, which means the lattice parameter decreases from 0.843 to 0.838 nm and then increases to 0.841 nm. Also, the results revealed that increasing Bi content lead to a decrease in saturation magnetization (Ms) from 74.9 to 48.8 emu/g and an increase in coercivity (Hc) from 96.8 to 137.1 Oe.

Keywords: bi-substituted magnetite nanoparticles, mechanochemical processing, X-ray diffraction, magnetism

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Authors: Hamza Nejib, Okba Taouali

Abstract:

This paper presents two of the most knowing kernel adaptive filtering (KAF) approaches, the kernel least mean squares and the kernel recursive least squares, in order to predict a new output of nonlinear signal processing. Both of these methods implement a nonlinear transfer function using kernel methods in a particular space named reproducing kernel Hilbert space (RKHS) where the model is a linear combination of kernel functions applied to transform the observed data from the input space to a high dimensional feature space of vectors, this idea known as the kernel trick. Then KAF is the developing filters in RKHS. We use two nonlinear signal processing problems, Mackey Glass chaotic time series prediction and nonlinear channel equalization to figure the performance of the approaches presented and finally to result which of them is the adapted one.

Keywords: online prediction, KAF, signal processing, RKHS, Kernel methods, KRLS, KLMS

Procedia PDF Downloads 399