scholarly journals A Fast-Effective Algorithm on A Concise Representation of Top Rated Utility Mining Datasets

2020 ◽  
pp. 188-194
Author(s):  
Shaik Subani ◽  
B. V. N. Krishna Suresh
Keyword(s):  
General Framework ◽  
State Of The Art ◽  
Effective Algorithm ◽  
Purchasing Decisions ◽  
Key Factors ◽  
Utility Mining ◽  
Concise Representation

The average of customer ratings on a product, which we call a reputation, is one of the key factors in online purchasing decisions. There is, however, no guarantee of the trustworthiness of a reputation since it can be manipulated rather easily. In this paper, we define false reputation as the problem of a reputation being manipulated by unfair ratings and design a general framework that provides trustworthy reputations. For this purpose, we propose Trust-reputation, an algorithm that iteratively adjusts a reputation based on the confidence of customer ratings. We also show the effectiveness of Trust-reputation through extensive experiments in comparisons to state-of-the-art approaches.

Understanding the difference in softness of Australian Soft Rolling Skin wool and conventional Merino wool

2021 ◽  
pp. 004051752110505
Author(s):  
Hao Yu ◽  
Christopher Hurren ◽  
Xin Liu ◽  
Xungai Wang
Keyword(s):  
Fiber Diameter ◽  
Purchasing Decisions ◽  
Key Factors ◽  
Height Difference ◽  
Moisture Regain ◽  
Merino Wool ◽  
Wool Fibers ◽  
Significant Difference ◽  
The Difference ◽  
Wool Industry

Softness is one of the key elements of textile comfort and is one of the main considerations when consumers make purchasing decisions. In the wool industry, softness can reflect the quality and value of wool fibers. There is verifiable difference in subjective softness between Australian Soft Rolling Skin (SRS) wool and conventional Merino (CM) wool, yet the key factors responsible for this difference are not yet well understood. Fiber attributes, such as crimp (curvature), scale morphology, ortho-to-cortex (OtC) ratio and moisture regain, may have a significant influence on softness performance. This study has examined these key factors for both SRS and CM wool and systematically compared the difference in these factors. There was no significant difference in the crimp frequency between these two wools; however, the curvature of SRS wool was lower than that of CM wool within the same fiber diameter ranges (below 14.5 micron, 16.5–18.5 micron). This difference might be caused by the lower OtC ratio for SRS wool (approximately 0.60) than for CM wool (approximately 0.66). The crystallinity of the two wools was similar and not affected by the change in OtC ratio. SRS wool has higher moisture regain than CM wool by approximately 2.5%, which could reduce the stiffness of wool fibers. The surface morphology for SRS wool was also different from that of CM wool. The lower cuticle scale height for SRS wool resulted in its smoother surface than CM wool. This cuticle height difference was present even when they both had similar cuticle scale frequency.

Optimizing Heat Treat Processes Through State-of-the-Art Metal Cleaning Capabilities

2021 ◽  
Author(s):  
Stefan Lukowski ◽  
Michael Onken
Keyword(s):  
Environmental Protection Agency ◽  
State Of The Art ◽  
Key Factors ◽  
Process Step ◽  
Heat Treat ◽  
Cleaning Agent ◽  
The Us ◽  
Underlying Causes ◽  
Vacuum Cleaning ◽  
Cleaning Technology

Abstract Metal cleaning has the potential to make or break heat treat processes. However, many heat treat companies are struggling with common cleaning challenges, including residual contaminations leading to insufficient hardening/nitriding/brazing results; surface stains on the finished products; inconsistent cleaning process as well as high cleaning costs due to high consumption of cleaning agent. In addition, burned oil can cause increased maintenance costs of the equipment and contaminate the facilities. The decision for a cleaning agent or sustainable cleaning technology has become more and more important under the aspect of current legislative efforts by the Environmental Protection Agency (EPA) in the US. This paper discusses the underlying causes behind these challenges and explains key factors fundamental to ensuring high-quality metal cleaning in terms of consistency, reliability and sustainability. Furthermore, it will introduce legally compliant, state-of-the-art cleaning capabilities such as closed vacuum cleaning technology with solvent, also known as airless system, the combined (two-step-) process of solvent and water in one machine; as well as a simple one-process step with two solvent based media. The theoretical principles will be further illustrated through a joint study with HEMO GmbH (HEMO), a manufacturer of cleaning machines, on cleaning trials based on different metals and contaminations.

Enabling Requirements for High Volume Thermo compression Bonding

2015 ◽  
Vol 2015 (DPC) ◽  
pp. 000995-001015
Author(s):  
Tom Strothmann
Keyword(s):  
Process Control ◽  
Cost Reduction ◽  
State Of The Art ◽  
High Volume ◽  
Manufacturing Technology ◽  
Data Logging ◽  
Key Factors ◽  
Review State ◽  
Memory Applications

The potential of Thermo compression Bonding (TCB) has been widely discussed for several years, but it has not previously achieved widespread production use. TCB has now begun the transition to an accepted high volume manufacturing technology driven primarily by the memory market, but with wider adoption close for non-memory applications. Several key factors have enabled this transition, including advanced TCB equipment with higher UPH for cost reduction and advanced methods of inline process control. The unique requirements of TCB demand absolute process control, simultaneous data logging capability for multiple key factors in the process and portability of the process between tools. This introduces a level of sophistication that has not previously been required for BE assembly processes. This presentation will review state of the art TCB technology and the fundamental equipment requirements to support the transition to HVM.

scholarly journals Incorporating Graph Attention and Recurrent Architectures for City-Wide Taxi Demand Prediction

2019 ◽  
Vol 8 (9) ◽  
pp. 414 ◽  
Author(s):  
Ying Xu ◽  
Dongsheng Li
Keyword(s):  
State Of The Art ◽  
Sequence Data ◽  
Building Blocks ◽  
Time Interval ◽  
Mean Square ◽  
Key Factors ◽  
Demand Prediction ◽  
Traffic Efficiency ◽  
Temporal Correlations ◽  
Spatial Dependencies

Taxi demand prediction is one of the key factors in making online taxi hailing services more successful and more popular. Accurate taxi demand prediction can bring various advantages including, but not limited to, enhancing user experience, increasing taxi utilization, and optimizing traffic efficiency. However, the task is challenging because of complex spatial and temporal dependencies of taxi demand. In addition, relationships between non-adjacent regions are also critical for accurate taxi demand prediction, whereas they are largely ignored by existing approaches. To this end, we propose a novel graph and time-series learning model for city-wide taxi demand prediction in this paper. It has two main building blocks, the first one utilize a graph network with attention mechanism to effectively learn spatial dependencies of taxi demand in a broader perspective of the entire city, and the output at each time interval is then transferred to the second block. In the graph network, the edge is defined by an Origin–Destination relation to capture non-adjacent impacts. The second one uses a neural network which is adept with processing sequence data to capture the temporal correlations of city-wide taxi demand. Using a large, real-world dataset and three metrics, we conduct an extensive experimental study and find that our model outperforms state-of-the-art baselines by 9.3% in terms of the root-mean-square error.

OPTIMIZATION OF DISPERSANT APPLICATION, ESPECIALLY BY SHIP

1989 ◽  
Vol 1989 (1) ◽  
pp. 337-342
Author(s):  
François Merlin ◽  
Christian Bocard ◽  
Gilles Castaing
Keyword(s):  
Flow Rate ◽  
Laboratory Tests ◽  
State Of The Art ◽  
Sea Surface ◽  
Key Factors ◽  
Treatment Procedure ◽  
Low Efficiency ◽  
High Level ◽  
Meso Scale ◽  
Oil Thickness

ABSTRACT A lot of information has been made available for 10 years on the use of dispersants through offshore and meso-scale trials. A state-of-the-art review shows that among the key factors that have been identified, the contact between dispersant and oil is of utmost importance. A better knowledge of this parameter should be taken into account in defining operational procedures, especially when applying dispersants by ship, which is considered to be complementary to aerial spraying. Upon request of the French Navy, a series of meso-scale trials was carried out off Brittany in June 1987, according to the methodology previously used in 1984. Three dispersants were sprayed from a boat. It was concluded that a high level of energy at the sea surface mitigates discrepancies in dispersants’ efficiencies as measured in laboratory tests. Better results were obtained in the case of relatively thick oil slicks. The low efficiency that was measured when treating downwind was attributed to the already-observed herding effect. These complementary results reinforce the actions that have been recently developed to optimize dispersant application by ship:Shipboard equipment for neat dispersant spraying is described. Its main feature is an original nozzle assembly that allows the dispersant to be applied effectively onto the oil at a flow rate that can be widely and very quickly changed according to the estimated oil thickness.An operational treatment procedure is discussed, showing how to map, mark out, prospect and treat oil slicks according to the slick shape, estimated oil thickness, and wind direction.

The experimental investigation of syllable structure

2014 ◽  
Vol 9 (2) ◽  
pp. 170-195 ◽  
Author(s):  
Bruce L. Derwing ◽  
David Eddington
Keyword(s):  
Experimental Investigation ◽  
Experimental Approach ◽  
State Of The Art ◽  
Theoretical Perspective ◽  
Experimental Methods ◽  
Syllable Structure ◽  
Illustrative Case ◽  
Key Factors ◽  
The One ◽  
Theoretical Issues

This paper is a selective state-of-the-art report on a variety of issues related to the adoption of experimental methods to the study of syllable structure. The rationale for an experimental approach is presented in the first section, followed by a brief section on of some of the main theoretical issues involved. Section three then presents a recap of the most important empirical findings, focusing on the key factors involved, rather than the details of the specific results. Section four then presents an illustrative case where the experimental results seem to conflict, along with discussion of some of the factors that are likely responsible for this. Finally, in the last section, an appeal is made for a deeper theoretical perspective than the one that has guided research in this area heretofore.

scholarly journals Exponentially faster implementations of Select(H) for fermionic Hamiltonians

Quantum ◽  
2021 ◽  
Vol 5 ◽  
pp. 380
Author(s):  
Kianna Wan
Keyword(s):  
Quantum Chemistry ◽  
General Framework ◽  
State Of The Art ◽  
Quantum Algorithms ◽  
Condensed Matter ◽  
Quantum Circuits ◽  
Constant Independent ◽  
Wigner Transform ◽  
Gate Count ◽  
Hamiltonian Simulation

We present a simple but general framework for constructing quantum circuits that implement the multiply-controlled unitary Select(H):=∑ℓ|ℓ⟩⟨ℓ|⊗Hℓ, where H=∑ℓHℓ is the Jordan-Wigner transform of an arbitrary second-quantised fermionic Hamiltonian. Select(H) is one of the main subroutines of several quantum algorithms, including state-of-the-art techniques for Hamiltonian simulation. If each term in the second-quantised Hamiltonian involves at most k spin-orbitals and k is a constant independent of the total number of spin-orbitals n (as is the case for the majority of quantum chemistry and condensed matter models considered in the literature, for which k is typically 2 or 4), our implementation of Select(H) requires no ancilla qubits and uses O(n) Clifford+T gates, with the Clifford gates applied in O(log2n) layers and the T gates in O(logn) layers. This achieves an exponential improvement in both Clifford- and T-depth over previous work, while maintaining linear gate count and reducing the number of ancillae to zero.

Pengaruh Efektivitas Promosi Melalui Instagram Dan Inovasi Produk Terhadap Keputusan Pembelian

2021 ◽  
Vol 13 (2) ◽  
pp. 102-116
Author(s):  
Henny Sulistiyowati ◽  
Nuri Purwanto
Keyword(s):  
Social Media ◽  
Product Innovation ◽  
Linear Regression Analysis ◽  
Sampling Technique ◽  
Multiple Linear Regression Analysis ◽  
Purchasing Decisions ◽  
Analysis Model ◽  
Key Factors ◽  
New Ideas ◽  
To Come

This study aims to determine the effect of the effectiveness of promotion through instagram and product innovation on purchasing decisions for Gembul Banana products. The study was conducted because the results of several previous researchers found that product innovation and promotion are key factors in influencing purchasing decisions. The tight business competition that comes from businesses for similar products or substitute products, requires a business to always move faster and creatively to come up with new ideas in order to attract the attention of consumers. The method used in this research is descriptive explanatory method. Analysis of the data used using multiple linear regression analysis model. The population in this study were all buyers of Gembul Banana products by taking a sample of 101 respondents, and taking the sample using accidental sampling technique. The results showed that the effectiveness of promotion through instagram and product innovation had a positive effect on purchasing decisions for Gembul Banana products. Based on the results of this study, it is suggested to Gembul Banana business owners to be more serious in managing Gembul Banana social media, especially in posting photos, endeavor to post photos that are interesting and in accordance with consumer desires, not just photos and uploads on social media. In addition, it is also recommended that the logo of the company should be included on the packaging, not only in the form of a yellow box that is identical to a banana, but a logo must be included so that consumers can remember the product.

Delving Deeper into Dermal and Transdermal Drug Delivery: Factors and Mechanisms Associated with Nanocarrier-mediated Strategies

2018 ◽  
Vol 24 (27) ◽  
pp. 3210-3222 ◽  
Author(s):  
Jyothsna Manikkath ◽  
TK Sumathy ◽  
Aparna Manikkath ◽  
Srinivas Mutalik
Keyword(s):  
Drug Delivery ◽  
Transdermal Delivery ◽  
Transdermal Drug Delivery ◽  
Dispersion Medium ◽  
State Of The Art ◽  
Particle Engineering ◽  
Key Factors ◽  
Current State ◽  
Routes Of Drug Administration ◽  
Drug And Gene Delivery

Background: Advances in material science and particle engineering have led to the development of a rapidly growing number of nanoparticulate carriers for drug and gene delivery. These carriers are increasingly being investigated in dermal and transdermal routes of drug administration. Objective: To critically examine and summarize the primary factors and mechanisms involved in nanocarriermediated dermal and transdermal delivery of drugs. Method: Thorough literature search was undertaken, spanning the early development of nanocarrier-mediated dermal and transdermal drug delivery approaches, to the current state of the art, using online search tools. Results: Physicochemical, formulation, experimental and morphological factors, such as, material of construction or type of nanoparticle (NP), surface chemistry, particle size, particle shape, surface charge, dispersion medium, duration of exposure of skin to NPs, combination of NPs with physical agents, and aspects related to skin were identified and discussed. Conclusion: The key factors and mechanisms which influence NPs-skin interactions in dermal and transdermal drug delivery are discussed in this article in-line with the current advances in the field.

Recent Advances of Using Ionic Liquid in Lignocellulosic Biomass Degradation

2014 ◽  
Vol 625 ◽  
pp. 834-837
Author(s):  
Revie Financie ◽  
Muhammad Moniruzzaman ◽  
Yoshimitsu Uemura ◽  
Norridah Osman
Keyword(s):  
State Of The Art ◽  
Low Cost ◽  
Lignocellulosic Materials ◽  
Lignocellulosic Material ◽  
Key Factors ◽  
Biomass Degradation ◽  
Cellulose Conversion ◽  
Current Review ◽  
Degree Of Acetylation ◽  
Lignocellulosic Pretreatment

Pretreatment is a very important step for cellulose conversion process. The effectiveness of the lignocellulosic pretreatment process is one of the key factors to a successful conversion of the original low-cost material into biofuels or biomaterials. The best pretreatment method depends on the type of lignocellulosic materials, and its affected by degree of cellulose polymerization and degree of acetylation of hemicelluloses of the lignocellulosic materials are the main factors. Therefore, it is desirable to find and develop the best pretreatment process, which is also friendly for the environment, effective and efficient for lignocellulosic material conversion of cellulose with minimal structural alteration. In this current review, pretreatment of lignocellulosic material using ILs is discussed in order to describe the state of the art of ILs as a pretreatment methodology for cellulose and lignin separation. Review of ILs assisted by other processes is also discussed here and perspectives regarding this topic are given as well.

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