Engineering Commons^™

Effects Of Period And Temperature On Quality And Shelf-Life Of Cucumber And Garden-Eggs Packaged Using Cassava Starch-Zinc Nanocomposite Film, Adeshina Fadeyibi, Zinash Delebo Osunde, Mohammed Gana Yisa

Journal of Applied Packaging Research

Nanocomposite film can be used to prolong the shelf-life of fruits and vegetables. This research was undertaken to investigate the effects of packaging period and temperature on the quality and self-lives of cucumber and garden-eggs packaged using cassava starch-zinc nanocomposite film. Hundred grams each of cucumber and garden-eggs were wrapped in a 200× 350 mm size nanocomposite film and low density polyethylene (LDPE) of 2.240± 1.076 × 10^-10 gm^-1Pa^-1s^-1 water vapor and 1.568± 0.084× 10^-10 gm^-1Pa^-1s^-1 oxygen gas permeability. The products were stored at 10−27^oC temperatures …

A Brief Bibliometric Survey On Circularly Polarized Antennas For Mobile Communication, Aniket Gunjal, Abhaya Pal Singh

Library Philosophy and Practice (e-journal)

This paper presents a database review on “Circularly Polarized Antennas for Mobile Communication” as it is the emerging technique used by mobile service provider because of having benefits over other types of antennas available.The polarization purity is now the major issue. In some cases due to cross polarization issue the antenna signal is cancelled at receiver side.So, it is necessary to have circularly polarized antenna to avoid this polarization issue because of change in phase of signal. The change in phase of signal is due to striking of wave on the obstacles and it slightly tilted from its direction causes …

Improved Analysis Techniques For Scatterometer Wind Estimation, Gregory Dallin Schachterle

Theses and Dissertations

In this thesis, three improved analysis techniques for scatterometer wind estimation are presented. These techniques build upon previous methods that help validate scatterometer data. This thesis examines the theory connecting the 1D and 2D kinetic energy spectra and uses QuikSCAT data to measure the 2D kinetic energy spectrum of ocean winds. The measured 2D kinetic energy spectrum is compared to the traditional 1D kinetic energy spectrum. The relationship between the 2D kinetic energy spectra and the 1D kinetic energy spectra confirms findings from previous studies that ocean winds modeled in 2D are isotropic and nondivergent. The 1D and 2D kinetic …

Domestic Violence In Pakistan From 1990 – 2020: A Mixed Method Approach, Hamida Khatri

Dissertations and Theses

This study assessed domestic violence from the perspective of the victims who experienced trauma due to sexual, emotional, and psychological abuse in Pakistan.

Assessing The Effects Of Reconstruction On The Commercial And Civil Construction Industry Following Hurricane Maria In Puerto Rico, Timothy Jafek Barrett-Rodriguez

Theses and Dissertations

In September 2017 Hurricane Maria made landfall on the U.S territory island of Puerto Rico, causing substantial damage to the already weakened infrastructure and other aspects of the built environment. This research attempted to identify the challenges and opportunities that have been encountered within the Puerto Rican commercial and civil construction industry during the first year of reconstruction, post-Hurricane Maria. This was done by identifying the effects of the storm as well as the strategies of construction companies involved in the reconstruction process. The study used the events occurring after the passing of the hurricane as a case study to …

Lateral Resistance Of Grouped Piles Near 20-Ft Tall Mse Abutment Wall With Strip Reinforcements, Zachary Paul Farnsworth

Theses and Dissertations

A team from Brigham Young University and I performed full-scale lateral load tests on individual and grouped 12.75x0.375 inch pipe piles spaced at varying distances behind an MSE wall. The individually loaded pile which acted as a control was spaced at 4.0 pile diameters from the wall face, and the three grouped piles which were loaded in unison were spaced at 3.0, 2.8, and 1.8 pile diameters from the wall face and transversely spaced at 4.7 pile diameters center-to-center. The purpose of these tests was to determine the extent of group effects on lateral pile resistance, induced loads in soil …

Technology And Tactics As Dimensions Of Design: Explicit Representation Of User Actions In The Product Design Space, Tyler Stapleton

Theses and Dissertations

The initial phases of the design process -- including interactions with stakeholders, ideation of concept candidates, and the selection of the best candidates --- have a large impact on the success of a project as a whole. Much of the value generated during these phases comes from the designers' exploration of the design space as they create concepts for the final solution. Unfortunately, an entire dimension of the design space is often ignored during the initial phases of the design process -- the tactics dimension. Engineers tend to emphasize the design of technology in their work, while paying less attention …

Characterization And Optimization Of An Image Charge Detector For The Measurement Of Martian Dust, Jace Rozsa

Theses and Dissertations

Image charge detector (ICD) technology has existed for decades. However, not until recently has an ICD been proposed for use in space exploration, specifically for studying the characteristics of the dust on Mars. Characterizing the dust on Mars is crucial for designing equipment to aid manned missions. It also improves our understanding of Mars' climate and weather systems. An ICD utilizing printed circuit board (PCB) electrodes, coupled with a custom differential amplifier, is best suited for this type of measurement because of its light weight, simplicity, and noise performance. The noise floor of our particular amplifier is measured to be …

Plastic Recycling In Additive Manufacturing: A Systematic Literature Review And Opportunities For The Circular Economy, Fabio A. Cruz Sanchez, Hakim Boudaoud, Mauricio Camargo, Joshua M. Pearce

Michigan Tech Publications, Part 1

The rapid technical evolution of additive manufacturing (AM) enables a new path to a circular economy using distributed recycling and production. This concept of Distributed Recycling via Additive Manufacturing (DRAM) is related to the use of recycled materials by means of mechanical recycling process in the 3D printing process chain. This paper aims to examine the current advances on thermoplastic recycling processes via additive manufacturing technologies. After proposing a closed recycling global chain for DRAM, a systematic literature review including 92 papers from 2009 to 2019 was performed using the scopus, web of science and springer databases. This work examines …

A Review Of Coal Heating Value Correlations With Application To Coal Char, Tar, And Other Fuels, Andrew P. Richards, Denver Haycock, Jacob F. Frandsen, Thomas H. Fletcher

Faculty Publications

Accurately measuring a fuel’s heating value is one of the first steps in the classification of a new fuel. Heating values are widely used in coal combustion research and are becoming more useful in other fuel types as well. Many different empirical correlations to predict heating values based on primary organic (CHONS) elemental composition are found in the literature, many of which were originally created to predict heating values of parent coal, and some of which have been extended for biomass. However, no correlations exist for heating values of coal chars and tars. Thirteen literature heating value correlations (10 model …

Internships Shape Students' Future Career, Maria F. Arrayan

Marriott Student Review

Finding an internship has been more difficult than before due to COVID-19. For many, the search for an internship may be frustrating or pointless during this difficult time. Students need to empower themselves with the right tools to find an internship. Maria Fernanda Arrayan talks about the benefits of an internship and four ways to find one. Read this article to find motivation in your search for an internship and try a new way to find your next internship!

The Impact Of Autonomous Vehicles, Preston Loveland

Marriott Student Review

In this article, Preston Loveland delves into the innovations of autonomous vehicles. He outlines the safety, benefits, and public opinion of self-driving cars while inviting the reader to become part of this innovation.

Study The Effect Of Damping Change During The Dynamic Analysis Of A Reinforced Concrete Bridge With Neoprene Cushions, Mais Ghassoun

Emirates Journal for Engineering Research

The damping ratio has a important effect on the dynamic behavior of the bridges. and it is customary when designing to assume it as a predetermined fixed value independent of the response amplitude and frequency of the structure . A lot of experimental research worked on identifying them, but the dependence of damping and other dynamic characteristics of vibration amplitudes and their impact on responses and the results of the analysis need more scrutiny and simulation due to the difficulty of conducting vibration experiments for structures of realistic dimensions and large weights such as a RC bridge, which necessitated a …

Bacteria Analysis By Using A Supervised Machine Learning Algorithm Based On Droplet Microfluidics, Yulder Daniel Angarita

Electronic Theses and Dissertations

Sepsis is a major medical problem and massive resources have been invested in developing and evaluating alternative treatments. Statistics indicate that sepsis causes between one third and one half of all hospital deaths in the United States. Sepsis has a high impact on health care in the US, with direct sepsis costs in 2009 exceeding $15.4 billion. A research study found that a 1-hour delay in appropriate antimicrobial care resulted in a 7% - 10% rise in mortality. Several professional societies seek to reduce sepsis mortality by targeting the timely use of diagnostic tests and antimicrobial therapy. The diagnostic instruments …

Multiphysics Computational Model Of Fluid Flow And Mass Transport In Aneurysm, Tanja Cupac

Electronic Theses and Dissertations

The abdominal aortic aneurysm is progressive, asymptomatic, and can eventually lead to rupture which is a catastrophic event leading to massive internal bleeding and possibly death. AAA cases have been characterized by the development of an intraluminal thrombus (ILT). The ILT correlates with the progression of hypoxia in the arterial wall. The extent that ILT presence reduces oxygen flux to the wall has not been quantified and there is rather a poor understanding of key parameters that can affect thrombus-mediated oxygen transport in AAA. The purpose of this study is to address this gap and to assess the effects of …

Exploring The Efficacy Of Transfer Learning In Mining Image‑Based Software Artifacts, Natalie Best, Jordan Ott, Erik J. Linstead

Engineering Faculty Articles and Research

Background

Transfer learning allows us to train deep architectures requiring a large number of learned parameters, even if the amount of available data is limited, by leveraging existing models previously trained for another task. In previous attempts to classify image-based software artifacts in the absence of big data, it was noted that standard off-the-shelf deep architectures such as VGG could not be utilized due to their large parameter space and therefore had to be replaced by customized architectures with fewer layers. This proves to be challenging to empirical software engineers who would like to make use of existing architectures without …

Examining ‘Inattentional Deafness’ In Error Hazard Assessment Of Cockpit Design In Utility Aircraft, Fiodesy Gemilang Putri

International Programs

To introduce the importance of inattentional deafness in minimizing the probability of failure, therefore, the safety level of utility aircraft could be enhanced.

Combining Crf And Deformable Part Model For Pedestrian Detection, Ma Ji, Jingjiao Li, Ma Li, Zhao Yue

Journal of System Simulation

Abstract: Pedestrian detection has been widely used in many fields. It is one of the focus in computer vision. The part-based detection method in the pedestrian detection shows excellent performance and has a strong adaptability in posture change of human body. But it is not good for Occlusion problem. When the Discriminative threshold is higher, miss rate is very high. Considering the disadvantage of LSVM method for mining hidden information, a two layers classifier was proposed based on the deformable parts model establishing conditional random field model for Occlusion problem. For learning model parameters, the stochastic gradient descent and …

Virtual Needle Insertion And Haptic Interaction, Gao Zhan, Pan Fei, Jiehua Wang, Haiyan Pan, Zhengzheng Jiang

Journal of System Simulation

Abstract: Needle insertion or puncture has been widely practiced in clinical medicine. A VR based training system for needle insertion was implemented in this study. The mechanical model during insertion process was designed. Linear element model was applied to realize the simulation of soft tissue deformation. The friction and the stick-slip motion model between the puncture needle and the soft tissue were implemented to simulate the force interaction between needle and soft tissue. The haptic interaction of needle insertion was realized as well to enhance the user experience. The experiment results show that the simulation can reflect the process …

Planar Structure Reconstruction For Indoor Scenes With Kinectfusion, Chenjianong Cai, Yifei Shi, Xu Kai, Dang Gang

Journal of System Simulation

Abstract: Online scanning and reconstruction with KinectFusion has greatly improved real-time reconstruction of indoor scenes with consumer depth camera. However, due to the limitation of depth resolution of current depth cameras, the quality of reconstructed scenes is in general unsatisfactory. This is especially true for planar structures which are commonly seen in indoor scenes and important in defining the major structure of an indoor room. A novel method was proposed for extracting and reconstructing planar structures from point clouds of indoor scenes scanned acquired by KinectFusion.

Automatic Hair Contour Extraction Method With Complex Background, Yaoli Jin, Shiliang Wang, Xu Gang, Weihua Hu, Yigang Wang

Journal of System Simulation

Abstract: Hair contour extraction has important application in digital entertainment and simulation. An automatic hair contour extraction method for images with complex background was proposed. Image segmentation algorithm from foreground image was used to eliminate the interference of background image; face recognition and hair detection algorithms were employed to find the hair position and realize the automatic identification of the hair; in order to improve the accuracy of contour extraction, adaptive skin detection algorithm was used to eliminate the interference of face. The proposed method was applied on a lot of image examples. Experimental results demonstrate that this method can …

Research For Skeleton Tree Matching Of Microscopic Image Of Diatom Cells, Xiaoyan Qiao

Journal of System Simulation

Abstract: The image analysis technology based on morphological differences has become an important method of algae recognition in recent years. A skeleton similarity matching method was proposed to recognize microscopic images of diatom cells. The gray surface vector model of image was established to make segmentation by keeping obscure seta; The skeleton was used to represent the Chaetoceros, and it was decomposed hierarchically by competition strategy. The Chaetoceros object was represented by skeleton tree by forming the rachis elements and branches into it. The similarity mode for microscopic images of Chaetoceros was established by defining the topological and geometric difference. …

Simulation Model Of Crowd Following Phenomenon In Emergencies, Fang Hao, Liu Zhen, Lu Tao, Liangping Liu, Tingting Liu, Cuijuan Liu

Journal of System Simulation

Abstract: Researches on crowd behavior in emergent events are important practical significance for emergency management, most of the current crowd models are collision detection, motion plan and so on. According to the emergency scene analysis of surveillance video, following behaviors of crowd are obviously, modeling following behaviors is an interesting topic in crowd simulation. A following model was proposed based on classical social force model and OCEAN personlity theory, the concept of panic was introduced,, and following conditions of individual was set up, the speed formulas of individual were constructed. Experimental results show that the following model can closely simulate …

Real-Time Rendering Of Large-Scale Coastal Water Based On Adaptive Optimization, Shunli Wang, Fengju Kang, Jianhua Xu

Journal of System Simulation

Abstract: Focusing on the complex of the wave model and the poor performance of real-time in the large-scale coastal water visualization, a new method based on adaptive optimization for coastal water rendering in real-time was proposed. By introducing the automatic merging algorithm, the complex wave model could be constructed. According to the collision detection technology, the water mesh could be adaptively optimized. In order to improve the realistic, a noise was added to the water surface. The foam and reflection were realized by applying the dynamic texture mapping technology. The experimental results show that the generated coastal water has higher …

Development Of A Virtual Reality System For Space Planning Simulation, Wenbo Yang, Yinhao Song, Zhao Xin

Journal of System Simulation

Abstract: A virtual reality platform for space simulation was developed to simplify the implementation of weapon and based design. First, the architecture of the simulation system was described briefly; Second, based on the characteristics of space simulation platform, several key modules were introduced, including terrain real-time generation, analysis of space layout, and closest distance calculation. The terrain generation for space simulation platform was based on database management. The closest distance calculation was based on nearest neighbor k-d tree searching. In addition, a three-dimensional (3-D) model library, containing vehicles, test equipment, plant facilities, and other tools, was established for dynamic loading …

Advances In Research And Application Of In-Situ Visualization, Wang Fang, Sikun Li, Zhao Dan, Zeng Liang

Journal of System Simulation

Abstract: Scientific-Visualization is the most effective means of analyzing numerical simulation data. With the continuous improvement of the high performance computing technology, numerical simulation scale is growing rapidly. It is very difficult to analyze large scale parallel numerical simulation data efficiently due to the limits of IO bandwidth, storage system capacity and post processing pattern of visualization. In-situ visualization utilized the same computer system that ran the simulation tasks to operate visual computing and rendering, so it could overcome the limits of IO and storage system. The advances of in-situ visualization in recent years were reviewed, including data management, large-scale …

A Framework For Simulating And Analyzing Multi-Uav Persistent Search And Retrieval With Stochastic Target Appearance, Ryan David Day

Theses and Dissertations

In recent years, advances in small unmanned aerial vehicle (UAV) technology have transformed the use cases of these aircraft from hobby flying to industrial and business applications. These maneuverable, easily deployed tools can be retrofitted with a myriad of sensors and equipment, which make them suitable to perform a variety of specialized tasks. With increasing UAV capabilities, the function of small UAVs can be extended from pure monitoring or surveillance to the dual objective of monitoring an environment for events and addressing the events in some way. This thesis seeks to explore a subdomain of the dual objective problem described, …

Sparse Representation Based Private Face Recognition In The Cloud, Liu Yan, Jin Xin, Zhao Geng, Xiaodong Li, Yingya Chen, Guo Kui

Journal of System Simulation

Abstract: In order to protect user privacy, identification computing of user facial image data in the cloud was accomplished, the sparse representation based private face recognition method in the cloud was proposed. Terminal users collected face images and compared with face images in cloud database and then determined whether faces the terminal acquired belonged to the cloud face database, but both could not achieve each other's face image content. The method processed face images in database and cloud into sparse representation via a third-party terminal, then using Paillier and oblivious transfer homomorphic encryption algorithm to contrast sparse representation coefficient vector …

Pose Estimation Using Limbs Adjustment, Cai Peng, Dehui Kong, Baocai Yin, Huo Yi

Journal of System Simulation

Abstract: Human body is decomposed into several local component templates connected with tree structure by articulated pose estimation with mixture-of-parts, and the corresponding full score is used to estimate body pose. Such a method fails in precisely estimating human pose due to the defects of tree models when human has the complicated pose of body. To address this problem, pose estimation using limbs adjustment with mixtures-of-parts models was proposed. And pixel discrete direction, local characteristic functions blending full score and pixel discrete direction and other attributes, and pose estimation using limbs adjustment based on local characteristic functions of articulated position …

Improved Method Of Extracting Hks Descriptors And Non-Rigid Classification Applications, Jingyu Jiang, Lili Wan

Journal of System Simulation

Abstract: In order to make the HKS（heat kernel signature）have wider applicability in non-rigid shape analysis, an improved method of extracting HKS descriptors for unconnected non-rigid 3D models was proposed. The largest connected component was obtained. The HKS descriptors of the largest connected component were calculated and those descriptors of the boundary vertices and their 1-ring neighbors were excluded. For shape classifications, the dictionary was learned for each class based on the sparse representation theory. For a test model, each dictionary was utilized to sparsely represent its descriptor set, and the most appropriate dictionary was determined by the representation error, …