PENGEMBANGAN BISNIS PADA STARTUP TEMANRINDU DENGAN METODE STARTUP EVOLUTION CURVE

Technological developments have made it easier for people to use social networks. Almost all people of productive age use the internet in their social interactions. The purpose of this research is primarily to provide a platform for TemanRindu to make its product prototype appropriately with the Lean Canvas business model and so Startup Evolution Curve as its method. The main principles of Startup Evolution Curve are providing step-by-step guidance in company discussions, business development of TemanRindu by Feasibility Study especially on market aspect so that shown the segment and position TemanRindu itself. Product prototyping or Minimum Viable Product (MVP) start from doing hypothesis verification that will be used on MVP adjustment. Slogan making and pipe and sales funnel are also be done that lately will be used to planning the marketing strategy. This method has succeeded on generating of TemanRindu’s market segmentation and positioning as well as the making of product prototype in the form of Instagram design based on Lean Canvas design. Its affect on increasing of business growth in followers, likes, comments and saves because the product has been more adapted to customer needs without reducing the added value that offered.Perkembangan teknologi menyebabkan semakin mudahnya masyarakat dalam menggunakan jejaring sosial. Hampir keseluruhan masyarakat usia produktif memakai internet dalam interaksi sosialnya. Tujuan dari penelitian ini adalah menyediakan sarana untuk startup TemanRindu dalam membuat prototipe produk bisnisnya dengan model bisnis Lean Canvas secara tepat dan dengan metode Startup Evolution Curve. Prinsip utama dari Startup Evolution Curve adalah memberikan arahan per tahap dalam diskusi perusahaan, dan pengembangan bisnis startup TemanRindu melalui Feasibility Study pada aspek pasar sehingga memberikan gambaran terhadap segmen dan posisi daripada TemanRindu. Pembuatan prototipe produk atau Minimum Viable Product (MVP) dilakukan dari verifikasi hipotesis yang akan digunakan pada penyesuaian MVP. Pembuatan slogan hingga uji komunikasi dan saluran distribusi juga dilakukan yang kemudian dapat digunakan untuk menentukan strategi pemasaran. Pengaplikasian metode tersebut berhasil menghasilkan pemetaan daripada segmentasi dan posisi TemanRindu di pasar dan juga terciptanya prototipe produk TemanRindu berupa desain kiriman Instagram yang berdasarkan atas rancangan Lean Canvas. Dampaknya pertumbuhan bisnis naik, baik pada followers, likes, comment maupun save karena produk telah lebih disesuaikan dengan kebutuhan pelanggan tanpa mengurangi nilai lebih yang ditawarkan TemanRindu.

Simulation of the Final Size of the Evolution Curve of Coronavirus Epidemic in Morocco using the SIR Model

Since the epidemic of COVID-19 was declared in Wuhan, Hubei Province of China, and other parts of the world, several studies have been carried out over several regions to observe the development of the epidemic, to predict its duration, and to estimate its final size, using complex models such as the SEIR model or the simpler ones such as the SIR model. These studies showed that the SIR model is much more efficient than the SEIR model; therefore, we are applying this model in the Kingdom of Morocco since the appearance of the first case on 2 March 2020, with the objective of predicting the final size of the epidemic.

An Energy-Based Concept for Yielding of Multidirectional FRP Composite Structures Using a Mesoscale Lamina Damage Model

Composite structures are made of multidirectional (MD) fiber-reinforced polymer (FRP) composite laminates, which fail due to multiple damages in matrix, interface, and fiber constituents at different scales. The yield point of a unidirectional FRP composite is assumed as the lamina strength limit representing the damage initiation phenomena, while yielding of MD composites in structural applications are not quantified due to the complexity of the sequence of damage evolutions in different laminas dependent on their angle and specification. This paper proposes a new method to identify the yield point of MD composite structures based on the evolution of the damage dissipation energy (DDE). Such a characteristic evolution curve is computed using a validated finite element model with a mesoscale damage-based constitutive model that accounts for different matrix and fiber failure modes in angle lamina. The yield point of composite structures is identified to correspond to a 5% increase in the initial slope of the DDE evolution curve. The yield points of three antisymmetric MD FRP composite structures under flexural loading conditions are established based on Hashin unidirectional (UD) criteria and the energy-based criterion. It is shown that the new energy concept provides a significantly larger safe limit of yield for MD composite structures compared to UD criteria, in which the accumulation of energy dissipated due to all damage modes is less than 5% of the fracture energy required for the structural rupture.

Image Segmentation Based on Fractional Differentiation and RSF Model

Intensity inhomogeneity or weak texture region image segmentation plays an important role in computer vision and image processing. RSF (Region-Scalable Fitting) active contour model has been proved to be an effective method to segment intensity inhomogeneity. However RSF model is sensitive to the initial location of evolution curve , it tends to fall into local optimal. Aiming at the problem, this paper proposed a new method for image segmentation based on fractional differentiation and RSF model. The proposed method adds the global Grünwald-Letnikov fractional gradient into the RSF model. Thus the gradient of the intensity inhomogeneity and weak texture regions is strengthened. As a result, both the robustness of initial location of evolution curve and efficiency of image segmentation are improved. Theoretical analysis and experimental results demonstrate that the proposed algorithm is capable of segmenting the intensity inhomogeneities and weak texture images. It is robust to curve initial location, furthermore the efficiency of segmentation is improved.

Research on Fatigue Strain and Fatigue Modulus of Concrete

Concrete fatigue strain and fatigue modulus evolution play a vital role in the evaluation of the material properties. In this paper, by analyzing the advantages and disadvantages of existing concrete strain analysis methods, the level-S nonlinear fatigue strain model was proposed. The parameters’ physical meaning, the ranges, and the impact on the shape of the curve were all discussed. Then, the evolution model of fatigue modulus was established based on the fatigue strain evolution model and the hypothesis of fatigue modulus inversely related fatigue strain amplitude. The results indicate that the level-S model covered all types of fatigue strain evolution. It is very suitable for the description of strain evolution of concrete for its strong adaptability and high accuracy. It was found that the fitting curves coincided with the experimental curves very well, and the correlation coefficients were all above 0.98. The evolution curves of fatigue strain modulus both have three stages, namely, variation phase, linear change stage, and convergence stage. The difference is that the fatigue strain evolution curve is from the lower left corner to the upper right corner, but the fatigue modulus evolution curve is from the upper left corner to the right lower corner.

Transition time of nonlinear Landau–Zener model in adiabatic limit

The impact of nonlinear interaction on the loop structure of lower energy level and on the time evolution curve of canonical momentum which corresponds to the lower eigenstate are analyzed respectively. We find that the curve changes from single-valued to multi-valued as nonlinear interaction grows. The fascinating part is that the time range delimited by turning points in the loop of energy level and the period between two inflexion points on the multi-valued part of the evolution curve of canonical momentum are the same. Therefore, we propose a characteristic time in the transition process of nonlinear Landau–Zener model in adiabatic limit. Last, the physical meaning of the transition time as a measure of how much time the system experiences a structural change which directly results in the breakdown of adiabaticity is discussed.

A Fast Region-Based Segmentation Model with Gaussian Kernel of Fractional Order

By summarizing some classical active contour models from the view of level set representation, a simple energy function expression with the Gaussian kernel of fractional order is proposed, and then a novel region-based geometric active contour model is established. In this proposed model, the energy function with value of [−1, 1] is built, the local mean and global mean of the inside and outside of the evolution curve are employed, and the segmentation results are obtained by controlling the expansion and contraction of the evolution curve. The model is simple and easy to implement; it can also protect weak edges because of considering more statistical information. Experimental results on synthetic and natural images show that the proposed model is much more effective in dealing with the images with weak or blurred edges, and it takes less time.