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Full-Text Articles in Engineering

Call For Abstracts - Resrb 2019, July 8-9, Wrocław, Poland, Wojciech M. Budzianowski Dec 2018

Call For Abstracts - Resrb 2019, July 8-9, Wrocław, Poland, Wojciech M. Budzianowski

Wojciech Budzianowski

No abstract provided.


Sensor-Based Human Activity Recognition Using Bidirectional Lstm For Closely Related Activities, Arumugam Thendramil Pavai Dec 2018

Sensor-Based Human Activity Recognition Using Bidirectional Lstm For Closely Related Activities, Arumugam Thendramil Pavai

Electronic Theses, Projects, and Dissertations

Recognizing human activities using deep learning methods has significance in many fields such as sports, motion tracking, surveillance, healthcare and robotics. Inertial sensors comprising of accelerometers and gyroscopes are commonly used for sensor based HAR. In this study, a Bidirectional Long Short-Term Memory (BLSTM) approach is explored for human activity recognition and classification for closely related activities on a body worn inertial sensor data that is provided by the UTD-MHAD dataset. The BLSTM model of this study could achieve an overall accuracy of 98.05% for 15 different activities and 90.87% for 27 different activities performed by 8 persons ...


Scale-Out Algorithm For Apache Storm In Saas Environment, Ravi Kiran Puttaswamy Dec 2018

Scale-Out Algorithm For Apache Storm In Saas Environment, Ravi Kiran Puttaswamy

Computer Science and Engineering: Theses, Dissertations, and Student Research

The main appeal of the Cloud is in its cost effective and flexible access to computing power. Apache Storm is a data processing framework used to process streaming data. In our work we explore the possibility of offering Apache Storm as a software service. Further, we take advantage of the cgroups feature in Storm to divide the computing power of worker machine into smaller units to be offered to users. We predict that the compute bounds placed on the cgroups could be used to approximate the state of the workflow. We discuss the limitations of the current schedulers in facilitating ...


Automatic Identification Of Animals In The Wild: A Comparative Study Between C-Capsule Networks And Deep Convolutional Neural Networks., Joel Kamdem Teto, Ying Xie Nov 2018

Automatic Identification Of Animals In The Wild: A Comparative Study Between C-Capsule Networks And Deep Convolutional Neural Networks., Joel Kamdem Teto, Ying Xie

Master of Science in Computer Science Theses

The evolution of machine learning and computer vision in technology has driven a lot of

improvements and innovation into several domains. We see it being applied for credit decisions, insurance quotes, malware detection, fraud detection, email composition, and any other area having enough information to allow the machine to learn patterns. Over the years the number of sensors, cameras, and cognitive pieces of equipment placed in the wilderness has been growing exponentially. However, the resources (human) to leverage these data into something meaningful are not improving at the same rate. For instance, a team of scientist volunteers took 8.4 ...


Seasonal Warranty Prediction Based On Recurrent Event Data, Qianqian Shan, Yili Hong, William Q. Meeker Jr. Nov 2018

Seasonal Warranty Prediction Based On Recurrent Event Data, Qianqian Shan, Yili Hong, William Q. Meeker Jr.

Statistics Preprints

Warranty return data from repairable systems, such as vehicles, usually result in recurrent event data. The non-homogeneous Poisson process (NHPP) model is used widely to describe such data. Seasonality in the repair frequencies and other variabilities, however, complicate the modeling of recurrent event data. Not much work has been done to address the seasonality, and this paper provides a general approach for the application of NHPP models with dynamic covariates to predict seasonal warranty returns. A hierarchical clustering method is used to stratify the population into groups that are more homogeneous than the than the overall population. The stratification facilitates ...


A Data Set Of Bloodstain Patterns For Teaching And Research In Bloodstain Pattern Analysis: Gunshot Backspatters, Daniel Attinger, Yu Liu, Ricky Faflak, Yalin Rao, Bryce A. Struttman, Kris De Brabanter, Patrick M. Comiskey, Alex L. Yarin Nov 2018

A Data Set Of Bloodstain Patterns For Teaching And Research In Bloodstain Pattern Analysis: Gunshot Backspatters, Daniel Attinger, Yu Liu, Ricky Faflak, Yalin Rao, Bryce A. Struttman, Kris De Brabanter, Patrick M. Comiskey, Alex L. Yarin

Mechanical Engineering Publications

This is a data set of blood spatter patterns scanned at high resolution, generated in controlled experiments. The spatter patterns were generated with a rifle or a handgun, and different ammunitions. The resulting atomized blood droplets travelled opposite to the bullet direction, generating a gunshot backspatter on a poster board target sheet. Fresh blood with anticoagulants was used; its hematocrit and temperature were measured. Main parameters of the study were the bullet shape, size and speed, and the distance between the blood source and target sheet. Several other parameters were explored in a less systematic way. This new and original ...


Worker Activity Recognition In Smart Manufacturing Using Imu And Semg Signals With Convolutional Neural Networks, Wenjin Tao, Ze-Hao Lai, Ming-Chuan Leu, Zhaozheng Yin Nov 2018

Worker Activity Recognition In Smart Manufacturing Using Imu And Semg Signals With Convolutional Neural Networks, Wenjin Tao, Ze-Hao Lai, Ming-Chuan Leu, Zhaozheng Yin

Zhaozheng Yin

In a smart manufacturing system involving workers, recognition of the worker's activity can be used for quantification and evaluation of the worker's performance, as well as to provide onsite instructions with augmented reality. In this paper, we propose a method for activity recognition using Inertial Measurement Unit (IMU) and surface electromyography (sEMG) signals obtained from a Myo armband. The raw 10-channel IMU signals are stacked to form a signal image. This image is transformed into an activity image by applying Discrete Fourier Transformation (DFT) and then fed into a Convolutional Neural Network (CNN) for feature extraction, resulting in ...


Dynamic Modeling And Analysis Of Propulsion Effect Of 3 Dof Robot, Ahmet Shala, Xhevahir Bajrami Nov 2018

Dynamic Modeling And Analysis Of Propulsion Effect Of 3 Dof Robot, Ahmet Shala, Xhevahir Bajrami

International Journal of Business and Technology

Dynamical Modeling of robots is commonly first important step of Modeling, Analysis and Control of robotic systems. This paper is focused on using Denavit-Hartenberg (DH) convention for kinematics and Newton- Euler Formulations for dynamic modeling of 3 DoF - Degree of Freedom of 3D robot. The process of deriving of dynamical model is done using Software Maple. Simulations are done using Matlab/Simulink for analysis of propulsion effect under Earth gravity when First Link rotates with 1000 rpm, second Link can move free in vertical direction and Third Link can rotates free around their rotations axle. Simulations results shows very good ...


Material Balance Adjustement In Raw Material Processing, Migena Hoxha, Piro Zoga, Aida Bode Nov 2018

Material Balance Adjustement In Raw Material Processing, Migena Hoxha, Piro Zoga, Aida Bode

International Journal of Business and Technology

Circuit of one processing plant was studied in order to adjust the mass balance. The granulometric composition of the streams that belong to grinding and classifying processes was analyzed, while the chemical content was determined only at the streams related to separation process. Three connection matrixes are considered in this paper, one corresponding to the size fraction equations, the second corresponding to the chemical content measurements and the third, the solid flow rate balance. The technique used consisted of filtering all the data by a weighted least-squares procedure. Then running the output data in a custom designed feature of the ...


The Effectiveness Of The Use Of Solar Panels In Hotels Of Durres Area, Asllan Hajderi, Shkelqim Gjevori Nov 2018

The Effectiveness Of The Use Of Solar Panels In Hotels Of Durres Area, Asllan Hajderi, Shkelqim Gjevori

International Journal of Business and Technology

In the present study is analyzing the case of the application of solar energy with vacuum tube collectors for heating water for sanitary needs in hotels of Durres areas. In recent years there has been a special interest by the leading authorities to the EU countries and the U.S., for the use of renewable energies in general and solar energy in particular. This is mainly related with the reduction of environmental pollution from gas CO2, which directly influences the greenhouse effect and global warming.

Unlike other forms of renewable energy, like wind turbines, photovoltaic panels and biomass usages, the ...


Advancement Of The Plastering Machine, Bujar Ademi, Peter Kopacek Nov 2018

Advancement Of The Plastering Machine, Bujar Ademi, Peter Kopacek

International Journal of Business and Technology

Automation of water flow at plastering machines is a solution which serves the process of plastering, to adhere international standards. Automation of water flow by taking signals from the condition of the material depending on humidity. So its output is used to influence the increase or decrease of the amount of water flow in the valve. Water flow automation is a system which consists of several components in which the already, develop different processes. To release the feedback we need a sensor which is built by piezoelemnt in which we have the phenomenon of the frequency. With which we have ...


End-To-End Deep Learning Systems For Scene Understanding, Path Planning And Navigation In Fire Fighter Teams, Manish Bhattarai Nov 2018

End-To-End Deep Learning Systems For Scene Understanding, Path Planning And Navigation In Fire Fighter Teams, Manish Bhattarai

Shared Knowledge Conference

Firefighting is a dynamic activity with many operations occurring simultaneously. Maintaining situational awareness, defined as knowledge of current conditions and activities at the scene, are critical to accurate decision making. Firefighters often carry various sensors in their personal equipment, namely thermal cameras, gas sensors, and microphones. Improved data processing techniques can mine this data more effectively and be used to improve situational awareness at all times thereby improving real-time decision making and minimizing errors in judgment induced by environmental conditions and anxiety levels. This objective of this research employs state of the art Machine Learning (ML) techniques to create an ...


Genetic Algorithm Design Of Photonic Crystals For Energy-Efficient Ultrafast Laser Transmitters, Troy A. Hutchins-Delgado Nov 2018

Genetic Algorithm Design Of Photonic Crystals For Energy-Efficient Ultrafast Laser Transmitters, Troy A. Hutchins-Delgado

Shared Knowledge Conference

Photonic crystals allow light to be controlled and manipulated such that novel photonic devices can be created. We are interested in using photonic crystals to increase the energy efficiency of our semiconductor whistle-geometry ring lasers. A photonic crystal will enable us to reduce the ring size, while maintaining confinement, thereby reducing its operating power. Photonic crystals can also exhibit slow light that will increase the interaction with the material. This will increase the gain, and therefore, lower the threshold for lasing to occur. Designing a photonic crystal for a particular application can be a challenge due to its number of ...


Comparison Of Emotion Evaluation Perception Using Human Voice Signals Of Robots And Humans, Vesna Kirandziska, Nevena Ackovska Nov 2018

Comparison Of Emotion Evaluation Perception Using Human Voice Signals Of Robots And Humans, Vesna Kirandziska, Nevena Ackovska

International Journal of Business and Technology

Emotion perception is the process of perceiving other people’s emotions. It can be based on their facial expression, movement, voice and other biosignals people emit. The evaluation of human’s emotion is one characteristic of emotions. One of the research areas in Robotics is adapting humanistic behavior in robots. Today many robots are constructed. Some of them can even perceive emotions. In this paper a custom built emotion aware robot that perceives emotion evaluation is used to investigate the similarity and differences of the robot's and human's emotion perception. Voice signals from real human were recorded and ...


Swarm Intelligence As An Optimization Technique, Alma Bregaj Nov 2018

Swarm Intelligence As An Optimization Technique, Alma Bregaj

International Journal of Business and Technology

Optimization techniques inspired by swarm intelligence have become increasingly popular during the last years. Swarm intelligence is based on nature-inspired behaviours and is successfully applied to optimisation problems in a variety of fields. The advantage of these approaches over traditional techniques is their robustness and flexibility. These properties make swarm intelligence a successful design paradigm for algorithms that deal with increasingly complex problems. In this paper I am focused on the comparison between different swarmbased optimisation algorithms and I have presented some examples of real practical applications of these algorithms.


Comparative Performance Simulation Of Dsdv Aodv And Dsr Manet Protocols In Ns2, Erion Cana Nov 2018

Comparative Performance Simulation Of Dsdv Aodv And Dsr Manet Protocols In Ns2, Erion Cana

International Journal of Business and Technology

Mobile Ad hoc Networks (MANET) are self-configured and infrastructure less networks with autonomous mobile nodes. Due to the high flexibility, these kind of networks are heavily used in rescue operations, military missions etc. Many routing protocols for this kind of networks exist. This article presents a comparative and quantitative performance study of DSDV, AODV and DSR routing protocols using different simulation models in NS2. Performance metrics like PDR, E2E Delay and Throughput are analyzed under varying network, traffic and mobility parameters like number of nodes, traffic flows, mobility speed and pause time. Results show that AODV outperforms DSDV and DSR ...


Exploring The Role Of Sentiments In Identification Of Active And Influential Bloggers, Mohammad Alghobiri, Umer Ishfaq, Hikmat Ullah Khan, Tahir Afzal Malik Nov 2018

Exploring The Role Of Sentiments In Identification Of Active And Influential Bloggers, Mohammad Alghobiri, Umer Ishfaq, Hikmat Ullah Khan, Tahir Afzal Malik

International Journal of Business and Technology

The social Web provides opportunities for the public to have social interactions and online discussions. A large number of online users using the social web sites create a high volume of data. This leads to the emergence of Big Data, which focuses on computational analysis of data to reveal patterns, and associations relating to human interactions. Such analyses have vast applications in various fields such as understanding human behaviors, studying culture influence, and promoting online marketing. The blogs are one of the social web channels that offer a way to discuss various topics. Finding the top bloggers has been a ...


Perfect Metamaterial Absorber Based Energy Harvesting Application In Ism Band, Furkan Dincer, Mehmet Bakir, Muharrem Karaaslan, Kemal Delihacioglu, Cumali Sabah Nov 2018

Perfect Metamaterial Absorber Based Energy Harvesting Application In Ism Band, Furkan Dincer, Mehmet Bakir, Muharrem Karaaslan, Kemal Delihacioglu, Cumali Sabah

International Journal of Business and Technology

An electromagnetic (EM) energy harvesting application based on metamaterial absorber (MA) is introduced and discussed in this paper. This application is operating at ISM band (2.40 GHz) which is especially chosen due to its wide usage area. Square ring resonator (SRR) which has two gaps and resistors across the gaps on it is used. Chips resistors are used to deliver power to any active component. Transmission and reflection characteristics of metamaterial absorber (MA) for energy harvesting application are investigated. 83.6% efficient for energy harvesting application is realized in this study.


The Analytic Hierarchic Process: A Model To Evaluate The Risk Of Getting Cancer, Daniela (Halidini) Qendraj, Markela Muça Nov 2018

The Analytic Hierarchic Process: A Model To Evaluate The Risk Of Getting Cancer, Daniela (Halidini) Qendraj, Markela Muça

International Journal of Business and Technology

The aim of this study is to classify the risk factors of being with a type of cancer by applying the AHP (analytic hierarchy process) scale. The Saaty’s analytic hierarchy process is applied for computing weights for the factors, is a modeling for classification. A case study of QSUT Tirana hospital data base is presented to rank four cancer types. By the data collect from the hospital during the years 2011-2015, the results show that lung cancer is mostly spread in humans, and the prostate cancer is lower spread in humans.


Internet Of Things: From Applications, Challenges And Standardization To Industry Implementations, Xhafer Krasniqi Nov 2018

Internet Of Things: From Applications, Challenges And Standardization To Industry Implementations, Xhafer Krasniqi

International Journal of Business and Technology

The Internet of Things that is defined as anything that can be accessible anytime and anywhere provides connectivity to different objects and sensors around us and which will enable the transfer of different data between these objects and devices. A thing in the Internet of Things can be any natural or man-made object that can be assigned an IP address with a capability to exchange date over a network. There is a huge number of applications of IoT to benefit users, such as health monitors, smart homes, connected cars etc.

If everything around us is connected and information about these ...


Hybrid Modelling In System Simulation, Andreas Körner Nov 2018

Hybrid Modelling In System Simulation, Andreas Körner

International Journal of Business and Technology

In times of increasing power and capacity in computer, simulation mathematical models are getting more and more important. For different technical applications and in natural science but also in economic systems and management processes appropriate mathematical model descriptions are necessary. Hybrid modelling is a special technique for more complex model descriptions in order to reduce the degree of complexity. In different fields of interest, the behavior of a model is dependent on the active state. When the model description is changing from one state to another, a so-called state event takes place. State event modelling is the overall term to ...


E-Learning Systems In Higher Education Institutions: An Outlook Of Their Use In The Western Balkan Region, Blerta Abazi Chaushi, Agron Chaushi, Florije Ismaili Nov 2018

E-Learning Systems In Higher Education Institutions: An Outlook Of Their Use In The Western Balkan Region, Blerta Abazi Chaushi, Agron Chaushi, Florije Ismaili

International Journal of Business and Technology

This study provides a review of the literature on e-learning systems evolution and environments. The argument is that e-learning systems should be embedded in the core strategy of the institution. To support this premise, studies for e-learning are analyzed and six recommendations are drawn for universities to follow in order to have successful e-learning environments. The main contribution of this study, however, is the identification of the trends and statistics regarding the e-learning usage in the Balkan region. These stats are identified through a survey conducted in 40 universities in 10 countries from this region. The results show that more ...


Definition, Validation And Comparison Of Two Population Models For Austria, Martin Bicher, Barbara Glock, Florian Miksch, Niki Popper, Günter Schneckenreither Nov 2018

Definition, Validation And Comparison Of Two Population Models For Austria, Martin Bicher, Barbara Glock, Florian Miksch, Niki Popper, Günter Schneckenreither

International Journal of Business and Technology

In this work we present two structurally different mathematical models for the prognostic simulation of Austria’s population: A time-continuous, macroscopic system dynamics approach and a time-discrete, microscopic agent-based approach. Both models were developed as case studies of a series of population concepts in order to support models for decision-support in Austria’s health care system. In the present work we want to focus on the definition, the parametrisation as well as especially the validation process of both population-models. The latter was of special interest as it included a cross-model validation with Statistics Austria’s own prognostic model SIKURS.


Case Studies For A Markov Chain Approach To Analyze Agent-Based Models, Florian Kitzler, Martin Bicher Nov 2018

Case Studies For A Markov Chain Approach To Analyze Agent-Based Models, Florian Kitzler, Martin Bicher

International Journal of Business and Technology

Agent-Based Models have become a widely used tool in social sciences, health care management and other disciplines to describe complex systems from a bottom-up perspective. Some reasons for that are the easy understanding of Agent-Based Models, the high flexibility and the possibility to describe heterogeneous structures. Nevertheless problems occur when it comes to analyzing Agent-Based Models. This paper shows how to describe Agent-Based Models in a macroscopic way as Markov Chains, using the random map representation. The focus is on the implementation of this method for chosen examples of a Random Walk and Opinion Dynamic Models. It is also shown ...


Microsimulation Models For Simulating Pathways Of Patients With Mental Diseases, Andreas Bauer, Felix Breitenecker, Christoph Urach Nov 2018

Microsimulation Models For Simulating Pathways Of Patients With Mental Diseases, Andreas Bauer, Felix Breitenecker, Christoph Urach

International Journal of Business and Technology

Predicting demand for care is necessary to provide sufficient capacities in hospitals and enable better planning to cope with challenges like changes in the structure of the population. Emphasis in this work is put on the analysis of the data and on the parametrization of a simulation model for the paths of patients with mental diseases through the health care system. Survival analysis and model selection methods are used for this purpose. Data on patients and their treatments is analyzed with methods of survival analysis. Different methods for modelling the survival and hazard function are presented and compared. Hereby, the ...


Implementation Of The Aodv Routing In An Energy-Constrained Mesh Network, Altin Zejnullahu, Zhilbert Tafa Nov 2018

Implementation Of The Aodv Routing In An Energy-Constrained Mesh Network, Altin Zejnullahu, Zhilbert Tafa

International Journal of Business and Technology

Wireless sensor networks (WSNs) compose the fundamental platform for a number of Internet of Things (IoT) applications, especially those related to the environmental, health, and military surveillance. While being autonomous in power supply, the main challenge in node’s processing and communication architecture design remains the energy efficiency. However, this goal should not limit the main functionality of the system which is often related to the network coverage and connectivity.

This paper shows the implementation of the Ad-hoc On-demand Distance Vector (AODV) routing algorithm in an XBee based platform. As shown, the network can achieve low power consumption per node ...


Security Concerns Of New Alternative Telecommunication Services, Arbnora Hyseni, Krenare Pireva, Miranda Kajtazi Nov 2018

Security Concerns Of New Alternative Telecommunication Services, Arbnora Hyseni, Krenare Pireva, Miranda Kajtazi

International Journal of Business and Technology

With the advancing new era of communication, the so-called era of ‘being always online’ many providers offer their services for free. In that sense a small company or a virtual company becomes a huge competitor for different traditional telecommunication providers. Using the same services such as: voice calls, video calls, chat and similar services, the internet technology has made huge changes how users make use of such services . Instead of using these services, users shall install applications that are specialized for offering these services via applications, such as: Viber, WhatsApp, Facebook, Google Talk etc.. During the installation and update of ...


Labeled-Image Captcha: Concept Of A Secured And Universally Useful Captcha, Mokter Hossain, Ken Nguyen, Muhammad Asadur Rahman Nov 2018

Labeled-Image Captcha: Concept Of A Secured And Universally Useful Captcha, Mokter Hossain, Ken Nguyen, Muhammad Asadur Rahman

International Journal of Business and Technology

Captcha (Completely Automated Public Turing test to tell Computers and Humans Apart) is a widely used online security tool that ensures that a computer program is not posing as a human user. While smart programs with advanced image processing capability have already cracked picture based captcha systems there is a need for making the test harder. This paper presents a design prototype of a simplified type of labeled-image captcha where a picture of a common animal or household item is marked with a number of different labels and the users will be asked to provide the correct label for specific ...


A Policeless Traffic Ticketing System With Autonomous Vehicles, Mükremin Özkul, Ilir Çapuni Nov 2018

A Policeless Traffic Ticketing System With Autonomous Vehicles, Mükremin Özkul, Ilir Çapuni

International Journal of Business and Technology

Besides being expensive, traffic violation monitoring systems rely heavily on a huge infrastructure that incurs installation, operational, and maintenance costs.

Developing countries — where people do exhibit less traffic safety aware- ness — deployment of such systems becomes a daunting task. A police- men cannot be everywhere, and a policeman can also be bribed.

With the above goals in mind, in this paper we present an infrastructure- less and police-less traffic violation detection system that relies solely on the broadcast messages between the vehicles and secure communication of the vehicles with the transportation authority. Each vehicle should be equipped with a small ...


Supporting Diverse Customers And Prioritized Traffic In Next-Generation Passive Optical Networks, Naureen Hoque Nov 2018

Supporting Diverse Customers And Prioritized Traffic In Next-Generation Passive Optical Networks, Naureen Hoque

Computer Science and Engineering: Theses, Dissertations, and Student Research

The already high demand for more bandwidth usage has been growing rapidly. Access network traffic is usually bursty in nature and the present traffic trend is mostly video-dominant. This motivates the need for higher transmission rates in the system. At the same time, the deployment costs and maintenance expenditures have to be reasonable. Therefore, Passive Optical Networks (PON) are considered promising next-generation access technologies. As the existing PON standards are not suitable to support future-PON services and applications, the FSAN (Full Service Access Network) group and the ITU-T (Telecommunication Standardization Sector of the International Telecommunication Union) have worked on developing ...