International Institute of
A Study on the Prediction of the Fine-Dust Concentration Using RNN
Song, Jaichul; Yoo, Bongsun; Ra, Kyoungpil; Kim, Moonchel; Kim, Myungha; Lim, Seungtak; Sim, Yonggi (South Korea)
ABSTRACT:
In this paper, we try to predict the fine dust concentration and analyze the fine dust trend using the deep running. In this paper, a prediction model of fine dust concentration was developed and analyzed considering that the weather such as wind direction, wind speed, temperature, humidity, air pressure affects the fine dust concentration. Since the fine dust concentration has a time series characteristic, it is modeled using RNN. This study was conducted using tensorflow.
Alignment and Deformation of MC3T3-E1 Cultured on Micro Striped Pattern after Stimulation of Tangential Force Field
Endo, Yuji; Hashimoto, Shigehiro; Tamura, Takuya (Japan)
ABSTRACT:
The effect of hysteresis of the tangential force field on the single cell cultured at the surface of the scaffold with the micro striped pattern has been studied in vitro. The lines of parallel micro quadrangular ridges (0.7μm height, 3μm width, and 3μm interval) were made on the surface of the scaffold plate by the photolithography technique to control the orientation of each cell. Variation was made about the angle between the longitudinal direction of the ridge and the direction of the centrifugal force field: 0 degree, 45 degrees, and 90 degrees. To apply the tangential force field (50 G, 100 G) on the surface of the scaffold, the plate was set in the tube in a conventional centrifugal machine placed in an incubator. After the centrifugation for 5 hours, the contour of each cell at the time lapse microscope images was traced for 24 hours in the incubator, and the angle between the longitudinal axis of the cell and the direction of the centrifugation was analyzed. The experimental results show that the MC3T3-E1 (mouse osteoblast precursor cell) elongates to the longitudinal direction of the striped pattern by the hysteresis of the exposure to the tangential force field more frequently at 100 G than at 50 G.
An Information Mechanism to Counteract the Problem of Stray Dogs (Invited Paper)
Méndez-Gurrola, Iris I,; Portillo-Payan, Alma K.; Barraza Castillo, Ramón I. (Mexico)
ABSTRACT:
Currently dogs have become an important part of society, sometimes even seen as part of the family; however, in other cases it is a coincidence. When it is not possible to continue caring for them, the problem of dog abandonment in the streets may arise. One of the causes of such large number of stray dogs in Mexico is that there are no adequate ways to spread culture awareness regarding the care of these animals. Therefore, the goal of this project is to provide a communication mechanism that offers adequate information to counteract this social and public health problem.
Artificial Intelligence in Medicine: From Academic Discussions Towards Reality of Everyday Life (Invited Paper)
Rezaev, Andrey V.; Yablonskiy, Piotr K. (Russian Federation)
ABSTRACT:
Scientists are adept at engaging in debate about the nuances of the theories and methods with one another, but they are less proficient at explaining the general value and practical importance of their research to other scholars who are not trained in their specific disciplines let alone to public at large and policymakers. However, recent shifts in professional scholarly forums indicate the critical importance of effective communication about specific scientific research to wider scholarly community. AI in Medicine is a domain marked by hot discussions in professional literature, media, and public in large. As a part WMSCI/IMSCI 2019 Interdisciplinary Communication Program this paper is based on the research piece we have presented at the IMSCI conference, Orlando 2019. The presentation has been summarized in eleven theses and propositions.
Automated Highway Signaling in a BIM Environment
Porto, Marcelo Franco; Ribeiro, Rômulo Luiz Pereira; Carvalho, Izabela Ribas Vianna de; Franco, José Ricardo Queiroz; Baracho, Renata Maria Abrantes; Porto, Patrícia Baracho (Brazil)
ABSTRACT:
Conformity checking in a highway design project is usually done manually, which can be costly and time consuming. This checking identifies possible mistakes in parts of the project. For signaling, it is very important because incorrect signaling can cause numerous accidents. To increase safety and improve the efficiency, this paper proposes applying automation processes to horizontal signaling checking. This work proposes the development of transport engineering projects in a BIM (Building Information Modeling) environment using a plug-in developed for AutoCAD Civil 3D. To improve safety and efficiency, it is proposed that the horizontal signaling verification process be automated. This method aims to develop transportation engineering projects in a Building Information Modeling (BIM) environment using a coded plug-in for the AutoCAD Civil 3D platform. BIM technology is a digital representation of 3D modeling and the physical and functional characteristics. The research addresses the creation of a BIM system to automate project compliance checking. The results of this first phase of implementation show the effectiveness and efficiency of the proposed standard. Applying automatic signaling compliance verification in a BIM environment shows realistic results of the visibility distance at each alignment point, which is not possible when done manually. The design of each highway segment can then be sketched for profile viewing.
Cell Deformation Passing through Slit between Micro-Machined Surfaces in Vitro: Comparison among Cell Types
Hashimoto, Shigehiro; Kakishima, Keisuke; Takahashi, Yusuke (Japan)
ABSTRACT:
Deformation of cell passing through the slit between micro-machined surfaces has been observed in vitro. At the middle part of the flow channel, the slit (0.8 mm width, and 0.01 mm height) has been made between the transparent polydimethylsiloxane plate and glass plate, of which surfaces are micro-machined by photolithography technique. Four kinds of cells were used in the test: C2C12 (mouse myoblast cells), Hepa1-6 (mouse hepatoma cells), L929 (fibroblast connective tissue of mouse), and Neuro-2a (mouse neural crest-derived cell line). The suspension of each kind of cells was injected to the slits. The deformation of each cell passing through the micro slit was observed with an inverted phase-contrast microscope. The experimental results show that each cell deforms to the flat disk and passes through the micro slit of 0.01 mm height. Both the projected area and the passing velocity of each cell in the slit were measured. The passing velocity of each cell tends to decrease with the higher deformation. At some cells of C2C12, the velocity in the slit is higher than that before the slit even at the higher deformation ratio. The designed slit between micro-machined surfaces has capability to sort the deformability of cells.
Cell Migration in Shear Field: Comparative Study between MC3T3-E1 and 3T3-L1
Hashimoto, Shigehiro; Endo, Yuji; Sugimoto, Hiromi; Kachi, Yusei; Toma, Sora; Matsuzawa, Ryota (Japan)
ABSTRACT:
Migration of a cultured cell exposed to Couette type of shear flow has been observed at the incubator microscope in vitro. The shear flow was made between a rotating disk and a stationary disk, which are in parallel position each other. Each cell adhered on the disk was observed under the steady shear flow by an inverted phase contrast microscope (shear stress lower than 2 Pa). The migration of cells was evaluated at the time lapse images (every five minutes for 24 hours). Two kinds of cells were used in the test: MC3T3-E1 (mouse osteoblast precursor cell line), 3T3-L1 (mouse fat precursor cells). The experiments show the following results. Under the shear stress of 2 Pa, 3T3-L1 tends to be rounded and migrate to the downstream. MC3T3-E1, on the other hand, migrates to every direction.
Combining an Adjustable Fabrication Rate into a Multi-Item Stock Refilling Problem
Chiu, Singa Wang; Huang, Yi-Jing; Wu, Cheng-Sian; Lin, Jia-Ning; You, Liang-Wei; Chiu, Yuan-Shyi Peter (Taiwan)
ABSTRACT:
To meet increasing timely multi-item demand from customers, the present-day manufacturing firms must achieve the goal of fabricating multiple products with a shorter cycle length and minimum total expenses. This study explores the optimal common cycle time for a single machine multi-item system featuring adjustable rate to facilitate managers accomplish their above-mentioned goal. An exact model is built to depict the problem with care. Mathematical derivations are used to obtain both the total cost in a fabrication cycle and total cost per unit time. Differential calculus is employed to determine the optimal cycle length for the problem. A numerical example was provided to not only show the applicability of the research result, but also expose the impacts of differences in speedup rates on diverse cost parameters and on total machine utilization to assist managerial decision makings.
Communication Training in Multidisciplinary Field: Biomedical Engineering and Symbiosis Engineering (Invited Paper)
Hashimoto, Shigehiro (Japan)
ABSTRACT:
The biological term of “Symbiosis” is used for the situation of “living together”. The internet system has made a global society with database. The global society includes many kinds of variations: culture, language, and generation. In the global society, symbiosis between systems gave us a lot of multidisciplinary topics. Multidisciplinary communications kill is necessary to handle the topics. The term of “Biomedical Engineering”, on the other hand, is used for the multidisciplinary academic field combining several fields: Biology, Medicine, and Engineering. The field relates to various academic fields. In these field, many topics are picked up for collaboration among the biological systems and engineered systems. Communication is necessary not only between biological systems, but also between biological system and engineered system. Several kinds of multidisciplinary learning-programs including cross-cultural seminars have been practiced among students in the present article. The effectiveness of the multidisciplinary learning has been discussed in relation to “Biomedical Engineering” and “Symbiosis engineering”.
Comparing the Solution of the Navier-Stokes Equations Using a Fixed Point Iterative Method and Using COMSOL Multiphysics
Bermúdez Juárez, Blanca; Bonilla Capilla, Beatriz; Alanis Urquieta, José David; Rangel Huerta, Alejandro; Guerrero Sanchez, Wuiyebaldo Fermín (Mexico)
ABSTRACT:
In this paper, we compared the solutions for the Navier-Stokes equations with moderate and very high Reynolds numbers obtained using a Fixed Point Iterative Method with those obtained using COMSOL Multiphysics. In spite of the advantages of COMSOL, we want to show that our results, using a Fixed Point Iterative method agree as much as possible, with those obtained with COMSOL. Results for viscous incompressible flows in 2D are presented, using the Stream Function-vorticity formulation of the Navier-Stokes equations. The Fixed point Iterative Method uses Finite Differences and a uniform mesh; COMSOL uses the Finite Element Method and the formulation in primitive variables and the mesh is in some places, streamline and crosswind diffusion are also used. Results are reported, in the case of the lid-driven cavity problem for Reynolds numbers in the range of 5000 ≤ Re ≤ 100000.
As the Reynolds number increases, the time and the step mesh have to be refined, using a small step, both for time and space in order to capture the fast dynamics of the flow and numerically, because of stability reasons. An advantage of our code is “transparent” and is that we can is that easily modify it for other problems. We are looking forward to parallelize it.
Conceptual Model Based on Artificial Neural Networks Oriented to the Prediction of Carbon Dioxide (CO2) as a Pollution Index
Méndez, Erik F.; Herrera, José; Mafla, Gabriela (Ecuador)
ABSTRACT:
This research work is based exclusively on the application of artificial neural networks to predict CO2 emissions, linking the results with the need to assist in the processes of analysis, planning and decision making for the reduction of the aforementioned pollutant, through the development of a conceptual prediction model based on Artificial Neural Networks. It is proposed to use the feedforward neural network together with the backpropagation algorithm in order to obtain prediction results with a minimum of errors, for the development of the present model the city of Santo Domingo de los Colorados has been proposed as a case study. Ecuador.
Contextual Influence on Intermediaries: A Cross-Case Analysis of Innovation Communities in Construction
Bui, Nam (Norway)
ABSTRACT:
To improve productivity, construction companies are utilizing Building Information Modelling (BIM), a technology to generate ‘digital twins’ of building projects. This paper presents a cross-case analysis between two construction intermediaries, namely buildingSMART Norway Chapter and BIM Vietnam Community, to extend the understanding of how communities intervene in innovation. The data, collected by using the Institutional Intervention Model, includes interviews and documents from these two intermediaries. The findings reveal that these two communities use various channels to share experience and ideas, but a knowledge repository is essential for innovation. In addition, different ways of joint production are the key to advance BIM development. The insights from this paper have implications for other industries which see communities as a driver for innovation.
CORTEX+: The Mind of a Robot-Integrated Smart Environment for Elderly Care
Vega, Araceli *; Manso, Luis J. **; Calderita, Luis V. *; Núñez, Pedro * (* Spain, ** United Kingdom)
ABSTRACT:
Current society in developed countries faces one of its great demographic challenges: aging of the population. In this context, new technologies applied to the development of environments and tools for assistance of elderly people play a very important role. Within this field of application, social assistive robotics and smart technologies emerge as very versatile, motivating and powerful tools when it comes to assisting elderly people and also helping the caregiver. This article presents CORTEX+, the evolution of a cognitive architecture developed in order to integrate social robots in smart environments for elderly care. The concept of deep state representation in which CORTEX+ is built upon and the software agents that it is composed of are also described. The evaluation of the cognitive architecture in a simulated environment for a specific use case, navigation of a social robot in an environment with elderly people, is also provided.
Design of a Plant for Reduction and Reuse of Construction and Demolition Waste (CDW), in South Lima, Based on Reverse Logistics
Cruz, Karen; Calderón, Pierina; Nuñez, Victor; Raymundo, Carlos (Peru)
ABSTRACT:
The design of the proposed reuse and recycling plant is based on the guidelines of reverse logistics, which propose the analysis of different strategic decisions to achieve optimal design of the production system for obtaining recycled aggre-gates from construction and demolition waste (CDW) with inadequate final disposal. The increasing volumes of the generated CDW has led to the formation of landfills at destinations that do not have the conditions for waste collection; further, optimal treatment of this type of waste is not achieved, and the number of in-formal dumps has increased, thus affecting social and environmental surroundings (morbidity rate, concentration of greenhouse gases, and atmospheric dust). Additionally, the proposed design will reduce the exploitation of deposits or quarries to obtain natural aggregates, avoiding the depletion of natural resources, and will supply part of the market that is currently undersupplied. Finally, the proposed plant will be validated through a small pilot test to confirm that the product obtained at the end of the process complies with the parameters to be marketed as an ingredient for the concrete mix.
Design of a Technology Adoption Model Through a Systemic Inquiry
Segura-Castillo, Andrés (Costa Rica)
ABSTRACT:
The Laboratorio de Investigación e Innovación Tecnológica (LIIT) at the Universidad Estatal a Distancia (UNED), the costa rican distance education university, is a World Bank and governmental funded technological research and innovation laboratory started in 2014. Currently, the laboratory faces technology adoption issues as a result of the acquisition of a new computing infrastructure.
Technology adoption models focus on determining the variables that influence the behavior of adoption. From a systems thinking perspective, those approaches do not capture complexities that emerge from the human relationships involved during adoption. To do so, the case of interest is viewed as a wicked problem with several stakeholders and loosely defined boundaries, thus allowing the enactment of a systemic inquiry as an innovative way to design a technological adoption model that contributes to the resolution of the issue perceived as problematic.
A reproducible and systematic methodology is proposed, and the corresponding results are presented. The main outcome consists of an activity model. This device serves as a guide for purposeful action towards adoption of the new platform, i.e. as a technological adoption model. Potentialities and limitations of the enacted systemic inquiry are discussed and paths for further development are presented.
Design of Flow Channel with Surface Electrodes to Detect Dielectrophoretic Movement of Floating Myoblast
Hashimoto, Shigehiro; Hasegawa, Daisuke; Takahashi, Yusuke; Matsuzawa, Ryota (Japan)
ABSTRACT:
A micro flow channel with the surface electrodes has been designed to detect the dielectrophoretic movement of a biological cell in vitro. A pair of asymmetric surface electrodes of titanium (thickness of 200 nm) were incorporated in the flow channel by the photolithography technique: a triangular electrode with the tip angle of 0.35 rad, and a rectangular electrode of the flat edge as reference. The rectangular cyclic alternating electric current was introduced between the surface electrodes. The suspension of C2C12 (mouse myoblast cell line) was injected into the flow channel, and the flow rate was controlled by the pressure head between the inlet and the outlet. The selected system design (the shape of the electrode, electric rectangular alternating current wave (±7.5 mA, 0.3 μs of period), and the flow velocity of 0.3 mm/s) is able to detect dielectrophoretic movement of floating C2C12.
Development of Technological Support for the Treatment of Patients that Suffer from Social Phobia and Agoraphobia Using Virtual Reality Scenarios
Chumpitaz, Héctor Alberto; Segovia, Maria Fernanda; Villalta, Rosario del Pilar; Barrientos Padilla, Alfredo (Peru)
ABSTRACT:
The virtual reality exposure therapy (VRET) are currently being used to provide support for psychological treatments such as cognitive behavioral therapy given to patients with fears and phobias. The objective of this document is to determine the feasibility in terms of the effectiveness of the use of VRET to treat social phobia and agoraphobia in the treatment of patients who suffer from it. The effectiveness is evaluated based on the comparison of the reduction of anxiety scores with respect to sweating, heart rate, subjective units of anxiety (SUA) and clinical criteria in a period of 6 weeks of treatment with a specialized psychologist who monitors the software on 5 patients with social phobia and another 5 with agoraphobia.
Early Experience with 3D and 4K Imaging for Minimally Invasive Neurosurgery
Kiss, Gabriel Hanssen *; Ichino, Takuya **; Myhre, Hans Olav *; Skogås, Jan Gunnar * (* Norway, ** Japan)
ABSTRACT:
Minimally invasive surgery has become standard of care in neurosurgery, with obvious benefits for the patient as well as the healthcare system. However, minimally invasive procedures rely heavily on optical as well as pre- and intra-operative imaging to present the surgical field and the preoperative plan. Therefore, optimal visualization chains are crucial for a successful outcome. We have investigated the use of two new emerging technologies, namely 3D and 4K imaging, in the context of neurosurgery.
Two imaging setups on based on 3D displays and 4K imaging devices were tested during routing neurosurgery. Feedback from the surgeons and supporting staff regarding the suitability of the systems was requested and is summarized in the paper.
Initial results indicate that imaging the surgical field by 4K exoscopes can potentially replace today’s optical microscopes and offer a more ergonomic situation for the surgeon by avoiding constant refocusing between the optical microscope and the other image sources present in the operating room. However, exoscopes and 3D imaging will lead to a new situation in the OR where the display source is not in the line of sight and will require getting used to. However, this was not problematic for our expert surgeons
Effect of Couette Type of Shear Stress Field with Axial Shear Slope on Deformation and Migration of Cell: Comparison Between C2C12 and HUVEC
Hashimoto, Shigehiro; Sugimoto, Hiromi; Hino, Haruka (Japan)
ABSTRACT:
A shear flow device contained in the microscope incubator has newly been designed to study the effect of the shear stress field on the biological cell in vitro. The culture medium was sandwiched with a constant gap between a lower stationary culture plate and an upper rotating parallel plate to make a Couette type of shear field with the perpendicular shear slope. The wall shear stress (τ) on the lower culture disk was controlled by the rotating speed of the upper disk. The shear stress τ increases in proportion to the distance from the axis of rotation. After cultivation for 24 hours for adhesion of cells on the lower plate without flow, τ< 2 Pa was applied on cells for 24 hours subsequently. HUVEC (human umbilical vein endothelial cell) tends to be elongated and aligned under < 2 Pa of the shear stress. C2C12 (mouse myoblast cell line), on the other hand, maintains elongated shape and tends to migrate to the lower shear stress direction (< 2 Pa). The experimental system is useful to study the quantitative relationships between the shear stress and the cell behaviors: deformation, orientation, and migration.
Location Privacy Protection Using Dummy Locations and Routes
Hu, Wen-Chen; Kaabouch, Naima; Guo, Hongyu (United States)
ABSTRACT:
Location-based services (LBSs) provide various services, like recommendations and navigation, based on users’ location data, which the users may not like to share with the service providers. Many methods are created to solve the problem. One of the methods is using dummy locations, which are sent along with the true locations to the service providers, so the providers would not know which locations are true. This method is simple and seems effective. Nevertheless, there are some loopholes from this method. This research discusses various problems caused by dummy locations and proposes robust methods to preserve LBS users’ privacy. In addition to LBSs, this research emphasizes continuous LBSs, which require users to send their location data to the service providers continuously. Therefore, instead of dummy locations, dummy routes are created and sent to the providers. Dummy routes are more complicated than dummy locations, and therefore more difficult to manage. This research proposes genuinely dummy routes, so service providers are not able to find the true routes among all routes. Preliminary experiment results show the proposed methods are simple, but effective.
Maximum Power Point Tracking Method Based on Perturb and Observe Coupled with a Neural Network for Photovoltaic Systems Operating Under Fast Changing Environments
Briceno-Fajardo, Yesid; Cerda-Villafana, Gustavo; Ledesma-Orozco, Sergio (Mexico)
ABSTRACT:
The output power of Photovoltaic (PV) arrays presents a nonlinear behavior. Its maximum power point varies with the cell’s temperature and solar radiation. It is due to this situation that Maximum Power Point Tracking (MPPT) methods have been proposed and used in order to maximize the PV array output power. This paper presents an artificial neural network (ANN) combined with the classic Perturbation and Observation (P&O) algorithm to accelerate the search of such Maximum Power Point. Simulations generated using Matlab/Simulink show the improvement compared to the P&O alone and the hardware implementation, using a 16-bit microcontroller corroborates these findings.
Methodology for the Digitalization of Advertisement at the Point of Sale for Gross Margin Increase in the Traditional Retail Trade
Cheng-Fong, Luis; Cruzalegui, Ana; Rojas, Jose; Raymundo, Carlos (Peru)
ABSTRACT:
Retail trade modernization in Peru has displaced the traditional retailer as the first option when it comes to shopping. Supermarkets have grown 45% during the last four years and the new convenience stores gather all competitive advantages re-quired by the sector. Industry has adapted to the new Peruvian in order to cover the needs generated by a digital age offering solutions that give timely information, comfort and modernity when acquiring a new product. In 2017, 414,000 grocery stores were counted in Peru, which were forced to adapt and improve their services. This research project aims to come up with a solution to bring the grocery stores into the twenty-first century, and thus, to increase their gross margin and ensure their continuity. A methodology connecting the requirements of the grocery stores that invest the most in the city of Lima to the needs of the mass consumption companies by means of a platform that digitalizes ads at the point of sale driven by digital advertising is presented here. Currently, the product benefits 40 grocery stores in the city with a new customer service channel that allows to increase their sales by 20%.
Microfinance Landscape in Saudi Arabian Entrepreneurship Ecosystem
Khan, Rahatullah Muhammad (Saudi Arabia)
ABSTRACT:
This research explores prominent microfinance models and introduce leading microfinance institutions practicing these models in different parts of the world. Using primary qualitative sources, it then identifies the use of microfinance by different organizations in Saudi Arabia. The study contributes by charting Saudi Arabian Microfinance Model (SAMFIM) developed organically and built upon the contemporary conventions, procedures and practices in the Kingdom. The study also develops contrasting discussion of the microfinance landscape and practices of leading institutions around the world with their Saudi counterparts. Eventually from the contrast, the study ascertains and identifies the challenges and opportunities for the Saudi Arabian Entrepreneurship Ecosystem stakeholders. It also concludes by making recommendations on the changes and additions required to make the Saudi Microfinance landscape more dynamic, vibrant, and contributing to and satisfying the community needs. Also provided is a brief impact for the Saudi Vision 2030. This work would offer guidance and learning for the practitioners, lenders, borrowers and academics alike both in and outside the country. The study recommends a microfinance policy, regulatory and supervisory framework at the strategic level of the entrepreneurship ecosystem of the kingdom that could address the comparatively weaker institutional mechanisms and empower the people who need economic support.
Microservice Architecture for Automation - Realization by the Example of a Model-Factory’s Manufacturing Execution System
Braun, Sebastian *; Cheng, Chi-Tsun **; Lai, Chow Yin **; Wollert, Jörg * (* Germany, ** Australia)
ABSTRACT:
The German government presented the concepts of Industrie 4.0 at the Hannover fair in 2012. Based on this, the German “Hightech-Strategie 2020” was initiated to establish Germany as the leading supplier for cyber-physical systems. This strategy includes implementation recommendations for future technologies as well as promotions for avant-garde innovations. In this context, Industrie 4.0 can be defined as a standardization and digitalization project across companies[1-2]. It defines problem fields on which should be worked upon in future and thus generate a long-term migration strategy towards a homogeneous, reliable and optimized system structure. This takes a continuous development process with various cross-sectional technologies as a base.
This contribution deals with the design and implementation of a framework for automation as well as the investigation of the impacts of this framework on manufacturing executions systems (MES) and in general on the concepts of Industrie 4.0. A migration strategy is shown by the example of porting an existing MES of an Industrie 4.0 model-factory with Open-Source technologies into an edge-cluster. The focus is on the paradigm change for development, deployment, and operation. Furthermore, the draft of a miroservice- and communication-model regarding application containers for automation is shown.
[1] J. Wollert, Industrie 4.0 – warten bis die Revolution vorbei ist? Ängste und Chancen rund um Industrie 4.0 Kommunikation und Bildverarbeitung in der Automatisierung, Springer Verlag, 2017, pp 117-186.
[2] M. Wollschlarger, T. Sauter. J. Jasperneite, The Future of Industrial Communication IEEE Industrial Electronics Magazine, 2017
Modelling the Influence of Working Career Breaks on Pension Using Retrospective Simulation: A Case of the Baltic States
Rajevska, Olga; Voroncuka, Inesa (Latvia)
ABSTRACT:
The authors demonstrate application of retrospective simulation in comparative analysis of the differences in influences that career breaks exert on pension replacement rates in state old-age pension systems in Estonia, Latvia and Lithuania. Step-by-step model building is described, using historical statistical data from numerous databases and comprehensive analysis of pension regulation. 18 model cases are further considered for each country presenting different wage levels and service record lengths. The results of simulation prove significant dissimilarities in study countries in respect of benefit progressivity and responses to career breaks, caused by differences in their pension systems’ designs. The model can be used for increasing financial literacy and educating adults in career development.
North American Solar Electro-Magnetic Induction Detection Network (Invited Paper)
Leybourne, Bruce *; Straser, Valentino **; Jones, Kenneth *; Wu, Hong-Chun ***; Gregori, Giovanni ****; Hissink, Louis ***** (* United States, ** Belgium, *** Taiwan, **** Italy, ***** Australia)
ABSTRACT:
A Radio Finding Detection Network is proposed to detect Solar Electro-Magnetic (EM) Induction effects producing an electromotive force, or voltage, across ancient electrical conducting volcanic rock complexes underlying North America. Electro-Magnetic Pulse (EMP), climate change, hurricanes, tornadoes, lightning, earthquakes, volcanism, and certain types of wildfire outbreaks may be stimulated during a weakening of the solar magnetic field especially during the upcoming solar minimum, increasing Earth’s internal inductance power capable of driving much more violent events. This experimental testing is aimed at globally monitoring geophysical EM events to develop new forecasting methods. North American focus is on the New Madrid Fault, Florida hurricanes, and California wildfire and earthquakes, improving the science of natural disaster forecasting, management, investment, and governance, contributing to better resource-related negotiations and policy debates.
Occupational Health and Safety Maturity Model to Manage the Surface Mining Operations
Domínguez, Natalie; Rodríguez, Jordana; Jara, Juan; Raymundo, Carlos (Peru)
ABSTRACT:
Recently, the surface mining activity in Peru has been associated with a considerable number of incidents/accidents. They not only affect the health and well-being of the workers but also cause economic losses; additionally, they damage the reputation of the mining company. Therefore, a security management system is considered to be necessary. In this context, the present research uses the process and enterprise maturity model to manage the occupational health and safety actions of surface mining based on the continuous improvement PDCA (plan, do, check, and act) matrix. The application of this model to the Pampa de Pongo surface mining project resulted in action plans for the annual safety program that allowed the establishment of guidelines, procedures, and minimum requirements so that an organization can prevent, control, and reduce the incidents/accidents associated with its staff working on the project.
Road State Classification of Bangladesh with Convolutional Neural Network Approach
Ishtiak, Taoseef; Ahmed, Sajid; Anila, Mehreen Hossain; Islam, Saima; Shelim, Rashed; Farah, Tanjila (Bangladesh)
ABSTRACT:
Machine Learning, an important branch of Artificial Intelligence is now a widely used to detect features, predict future value, recognize patterns and detect anomalies from given data. Image classification, object detection is such massive fields where machine learning is being applied widely, especially the Convolutional Neural Network (CNN). Computer vision-based tasks have been in research interest for many years. But after Google introduced their own residual deep neural network architecture in Inception V-1, they have optimized the network further more through Inception V-4 to reduce computational cost. In this paper, we have classified roads of Bangladesh based on their surface condition from 2D images, inspired from residual network introduced in Inception V-4 architecture. Our research team modified the architecture to adjust for our own dataset of images and we have seen higher accuracy in result comparing to classical CNN based architecture with less computational cost and training time. The average condition of roads vary country wise. In developing and under developed countries; like Bangladesh, different roads are formed with different building materials. For the building material of roads, the surface condition and change in structural health of roads vary. CNN is very powerful for analyzing visual imagery. Based on our collected dataset of more than 5000 images, we applied CNN (Convolutional Neural Networks) based architecture and Inception-V4 model’s derivation residual architecture to observe the differences in each performance to classify the roads based on their surface state condition. On the basis of the acquired dataset of the roads inside Bangladesh, our model has been trained to detect five classes of roads of Bangladesh based on the surface condition. The trained model has been validated and tested by roads of other countries and showed an average accuracy of 92% using our derivation of Inception V-4 model while classical CNN based architecture has given an average of 87% accuracy over all the five classes. The goal of the proposed model is to analyze the surface condition of streets and classify the image with residual deep convolutional networks that has been proposed in the Inception V-4 model [10].
[10] C. Szegedy., S. Ioffe, Vincent V., A. Vanhoucke. “Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning”, arXiv preprint arXiv: 1602.07261v2 [cs.CV] 23 Aug 2016
Solving a Hybrid Multiproduct Replenishing Problem
Chiu, Yuan-Shyi Peter; Chen, Hui-Cun; Zhao, Zhong-Yun; Lai, Chia-Ming; Chiu, Singa Wang (Taiwan)
ABSTRACT:
This study addresses a hybrid multiproduct replenishing problem, wherein an outsourcing option in incorporated into a single-machine multiproduct batch manufacturing system with the aim to reduce the common cycle time and satisfy customer’s timely multi-item demands. With the help of mathematical modeling and optimization techniques, this study is able to derive the long-run system cost function and determine the optimal common cycle time that minimizes total cost per unit time for the problem. A numerical illustration is offered to demonstrate the practical usage of the obtained result. This study enables production managers to gain diverse impacts of differences in outsourcing ratios on key system parameters to facilitate their decision makings.
Some Remarks on Mutual Information and Good Regulation
Brody, Justin D.; Donavanik, Daniel; Nothwang, William D. (United States)
ABSTRACT:
In 1970, Conant and Ashby proved the so-called "Good Regulator Theorem", which states that "The simplest optimal regulator R of a reguland S produces events R which are related to the events S by a mapping h : S → R". The statement is often interpreted as claiming that any good regulator must contain a model of the system it regulates. In this article we will formalize Conant and Ashby's original theorem and examine it through the lens of information theory. In particular, we will note that while Conant and Ashby proved the existence of a function h: S → R, this function need not preserve either information or structure. Thus the regulator can only be said (a priori) to contain a model of the system it regulates in an extremely weak sense of the term "model" which equates the latter with a function of the modelled system – this notion is much weaker than what is usually implied by the term "model". We will also show that when this function does form a representation, it is an isomorphism exactly when the right notion of relevance is maximized.
Sorting of Cells with Flow Channel: Movement of Flowing Myoblast Cell at Oblique Micro Grooves
Hashimoto, Shigehiro; Hayasaka, Akira; Endo, Yuji (Japan)
ABSTRACT:
The movement of a flowing cell near the oblique micro groove on the bottom surface in the micro flow channel has been measured to sort biological cells in vitro. The micro groove of the rectangular shape (4.5μm depth, and 0.2mm length) has been fabricated on the polydimethylsiloxane (PDMS) disk by the photolithography technique. The angle between the flow direction and the longitudinal axis of the groove is 45 degree. Variation has been made on the width (0.03 mm < w < 0.05 mm) of the groove. A rectangular flow channel (0.05 mm height × 1mm width × 25 mm length) has been constructed between two transparent PDMS disks. C2C12 (mouse myoblast cell line) was used in the test. A flow velocity (0.04mm/s < vx < 0.80 mm/s) of the suspension of cells was controlled by the pressure difference between the inlet and the outlet. The shifted distance of each cell along the oblique groove on the diameter of the cell. In the present device, the malnourished cell with the different density can be distinguished by the shifted distance according to the velocity of the cell.
Systemic Business Modeling – A Pragmatic Tool Grounded in System Theory
Lau, Markus; Terzidis, Orestis (Germany)
ABSTRACT:
Designing and implementing a viable and sustainable business model is key for entrepreneurial activities. This challenge cannot be done in isolation. The design of a business model needs to be a systemic challenge, where the venture itself operates as a system with functions, structures, and hierarchies and is embedded in a meta-system of other market players, regulations, transactions and exchanges with own functions, structures, and hierarchies.
To master the challenges that come with these requirements, business model design needs to be systemically understood and implemented. For this paper, we analyzed the usage of existing models and developed a tool that supports systemic business model design. The tool combines the theories of the activity system and the network theory with current tools and methods for business model design and strategic planning.
The GDPR: First Experiences After Its Implementation Are Not Positive Only
Soltes, Dusan (Slovakia)
ABSTRACT:
This paper is a free continuation of our paper we have prepared for the WMSCI Multi Conference 2018 where we have presented some basic features and characteristics of the new EU regulation popularly already known as the GDPR or the General Data Protection Regulation. In the legislative system of the EU, this regulation by itself represents one of the most revolutionary legislative changes in the overall history of the EU system of legislation not only on the protection of the personal data or as it is generally well known “acquis communautaire”. As it has been well known this new revolutionary regulation i.e. in the terminology of the EU the strongest legislative act of the so-called EU secondary legislation has been enacted and entered into force in the EU as scheduled on 25th May 2018. It had been after more than two years that have been left for a very careful and comprehensive preparation after the particular GDPR regulation has been approved as the GDPR – General Data Protection Regulation – Regulation (EU) 2016/679, EP. CEU, EC Brussels on 27 April 2016. In the subsequent parts of this paper we are going to evaluate the first experiences as collected during our ongoing research being conducted within the EU funded INFORM project and according to the same structure as it has been presented in our paper for the above WMSCI Multi-conference 2018.
Use of Artificial Intelligence in Supply Chain Management Practices and 3PL Selection
Aguezzoul, Aicha *; Pires, Silvio ** (* France, ** Brazil)
ABSTRACT:
This study is focused on discuss the application of Artificial Intelligence (AI) techniques in the general case of SCM practices, on the one hand, and in the particular case of the 3PL selection process, on the other hand.
Concerning the SCM, the main purpose is to identify how current knowledge in AI could contribute to and be used effectively in SCM, especially in the conduction of its more dynamic managerial practices. In the case of 3PL selection process, the objective is to identify the proposed AI techniques used, taking into account the business sector of the company, and the logistics services that the company plans to outsource.
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