PERANCANGAN DAN PEMBUATAN ALAT PENGAMAN SERTA TRACKING KENDARAAN SECARA REALTIME BERBASIS ARDUINO

Di era kemajuan sistem informasi dan teknologi, terdapat banyak hal yang dapat dimanfaatkan untuk melacak posisi dan meningkatkan sistem keamanan kendaraan, salah satunya yaitu dengan memanfaatkan teknologi GPS dan GSM. Tujuan dari proyek akhir ini adalah agar pengguna kendaraan dapat mengetahui kondisi kedaraan dari jarak jauh sehingga apabila terjadi kemalingan pengguna dapat melihat dan memantau lokasi kendaraan secara langsung / Real Time. Cara kerja dari alat ini yaitu dengan memadukan modul elektronis Arduino, SIM808, Vibration sensor, dan sdcard manjadi sebuah alat yang dapat mendeteksi gerakan dan mecari lokasi kendaraan. Alat yang dibuat telah diuji dan berhasil mendeteksi adanya gerakan pada kendaraan dan pengguna dapat melihat lokasi kendaraan secara langsung melalui sebuah website yang telah dibuat

Using NLP tools in the specification phase

The software quality control is one of the main topics in the Software Engineering area. To put the effort in the quality control during the specification phase leads us to detect possible mistakes in an early steps and, easily, to correct them before the design and implementation steps start. In this framework the goal of SAREL system, a knowledge-based system, is twofold. On one hand, to help software engineers in the creation of quality Software Requirements Specifications. On the other hand, to analyze the correspondence between two different conceptual representations associated with two different Software Requirements Specification documents. For the first goal, a set of NLP and Knowledge management tools is applied to obtain a conceptual representation that can be validated and managed by the software engineer. For the second goal we have established some correspondence measures in order to get a comparison between two conceptual representations. This information will be useful during the interaction.Postprint (published version

Autonomous navigation for artificial satellites

An autonomous navigation system is considered that provides a satellite with sufficient numbers and types of sensors, as well as computational hardware and software, to enable it to track itself. Considered are attitude type sensors, meteorological cameras and scanners, one way Doppler, and image correlator

Spartan Daily, April 12, 1949

Volume 37, Issue 110https://scholarworks.sjsu.edu/spartandaily/11223/thumbnail.jp

The effects of decision flexibility in the hierarchical investment decision process

Large institutional investors allocate their funds over a number of classes (e.g. equity, fixed income and real estate), various geographical regions and different industries. In practice, these allocation decisions are usually made in a hierarchical (top-down), consecutive way. At the higher decision level, the allocation is made on basis of benchmark portfolios (indexes). Such indexes are then set as targets for the lower levels. For example, at the top level the allocation decision is made on the basis of asset class benchmark indexes, on the second level the decisions are made on the basis of sector benchmark indexes, etc. Obviously, the lower levels have considerable flexibility to deviate from these targets. That is the reason why targets often come with limits on the maximally allowed deviation (or "tracking error") from these targets. The potential consequences of deviations from the benchmark portfolios have received very little attention in the literature. In this paper, we discuss and illustrate this influence. The lower level tracking errors with respect to the benchmark indexes propagate to the top level. As a result the risk-return characteristics of the actual aggregate portfolio will be different from those of the initial benchmark-based portfolio. We illustrate this effect for a two level process to allocate funds over individual US stocks and sectors. We show that the benchmark allocation approaches used in practice yield inferior solutions when compared to a non-hierarchical approach where full information about individual lower level investment opportunities is available. Our results reveal that even small deviations from the benchmark portfolios can cause large shifts in the top-level risk-return space. This implies that the incorporation of lower level information in the initial top-level decision process will lead to a different (possibly better) allocation.decision flexibility;multi-level decision process;porfolio management;tracking error analysis