Introducing the SWOT Scorecard Technique to Analyse Diversified AE Collective Schemes with a DEX Model

Comparing diversified agri-environmental (AE) collective schemes in their capability to provide AE public goods faces great challenges, mostly because of their diversified nature and relatively new way to approach the provision of AE public goods. The state of the art is that there are not yet any common quantitative indicators or data to build a multi-criteria decision-making (MCDM) model to compare it with other practices and to set the strategic plan for the scheme’s improvement. Nevertheless, some qualitative common data of SWOT analyses are available, but the question remains how to simultaneously compare several SWOT analyses in an MCDM model. This study introduces a new way of transforming the qualitative results of SWOT analyses to fit in the MCDM Decision Expert (DEX) model using a special transformation technique SWOT scorecard. The SWOT scorecard evaluates the importance of qualitative results of several SWOT analyses simultaneously in a quantitative way, describing with points how supportive the environment is to each criterion in the DEX model. The SWOT scorecard keeps track of the original results from SWOT analysis and considers the diversity of AE schemes, which results in an appearance of the convergence points. This gives a key for comparing the AE collective schemes in providing AE public goods. Furthermore, it gives a solution for discussing the synergy between aspects that affect AE public goods provision for every AE scheme investigated. The technique is tested via five AE collective schemes in the DEXi program and gives deeper insight into factors that affect each scheme’s performance.

Maximum crosswind integrated ground level concentration in two stability classes

bl 'kks/k i= esa fu"izHkkoh vkSj vfLFkj fLFkfr;ksa esa ØkWliou lekdfyr lkanz.k ysus ds fy, nks fn’kkvksa esa vfHkogu folj.k lehdj.k ¼ADE½ dks gy fd;k x;k gSA ykIykl :ikarj.k rduhd dk mi;ksx rFkk m/okZ/kj Å¡pkbZ ij vk/kkfjr iou xfr vkSj Hkaoj folj.k’khyrk dh leh{kk djrs gq, ;g gy fudkyk x;k gSA blds lkFk gh Hkw&Lrj vkSj vf/kdre lkanz.kksa dk Hkh vkdyu fd;k x;k gSA geus bl ekWMy esa iwokZuqekfur vkSj izsf{kr lkanz.k vk¡dM+ksa ds e/; rqyuk djus ds fy, dksiugsxu ¼MsuekdZ½ ls fy, x, vkuqHkfod vk¡dM+ksa dk mi;ksx fd;k gSA The advection diffusion equation (ADE) is solved in two directions to obtain the crosswind integrated concentration in neutral and unstable conditions. The solution is solved using Laplace transformation technique and considering the wind speed and eddy diffusivity depending on the vertical height. Also the ground level and maximum concentrations are estimated. We use in this model empirical data from Copenhagen (Denmark) to compare between predicted and observed concentration data.

ESTIMASI MATRIKS TRANSAKSI ANTAR SEKTOR TAHUN 2020 DI PROVINSI BANTEN

Akibat kebutuhan indikator dan data ekonomi secara terkini, maka diperlukan estimasi yang mencerminkan kondisi perekonomian daerah dalam masa pandemi COVID-19. Oleh karena itu, tujuan paper ini adalah untuk menghasilkan estimasi matriks transaksi antar sektor yang merupakan bagian dari tabel input-output. Data yang digunakan dalam penelitian ini adalah tabel input-output tahun 2016 dan PDRB tahun 2020 yang bersumber Badan Pusat Statistik Provinsi Banten. Metode yang digunakan untuk estimasi adalah matrix transformation technique. Hasil penelitian ini menunjukkan metode matrix transformation technique (MTT) mudah diterapkan dengan data yang terbatas. Adapun matriks transaksi antar sektor hasil estimasi dengan MTT mampu menyerap informasi terkini. Walaupun, masih ada informasi lama tentang struktur yang termuat didalamnya. Berdasarkan perbandingan antara matriks transaksi antar sektor tahun 2020 hasil estimasi terhadap matriks transaksi antar sektor tahun 2016, terlihat dampak COVID-19 menurunkan kinerja produksi pada berbagai sektor.

Finite-Horizon H-Infinity Control for Time-Varying State-Saturated Systems under Stochastic Communication Protocol

In this paper, the H∞ control problem is investigated for a class of time-varying state-saturated systems with both stochastic parameters and nonlinearities under the stochastic communication protocol (SCP). The sensor-to-controller network is considered where only one sensor can obtain access to the communication network at each transmission instant. The SCP is adopted to mitigate the undesirable data collision phenomenon. The model transformation technique is employed to simplify the addressed problem, and then, the completing squares method is carried out to obtain a sufficient condition for the existence of the finite-horizon H∞ controller. The controller parameters are characterized by solving two coupled backward recursive Riccati-like difference equations. A simulation example is finally utilized to illustrate the effectiveness of the proposed controller design scheme.