Nowadays, the technology development makes a human can create a tool which is used to recognize an object and it becomes a popular technology device. It happens because this tool has an important role for interaction between a human and a computer. One example of this technology usage is to recognize a hand gesture for controlling a home automation system. The existing of this technology creates the change related to how the human controls any tools in a house and it also reduces the complexity including an effort when it is used for controlling. This feature is very useful, especially for elderly people who stay in independent living. This study is going to develop a controller prototype by using FAST (Features from Accelerated Segment Test) algorithm to detect hand gesture for operating the connected home devices. This controller uses an embedded system to translate a command which is created by using the hand gesture of senior captured by the cam for controlling the lamps. The lamps itself are represented as several tools in the house. The observation gives a result that the hand gesture is potential to be implemented as a command for controlling the proposed system prototype in the range which is not far than 1 meter with the percentage average recognition accuracy is almost 80%.
A stock investment is one of alternatives that have a bright prospect in the futures. However, it is necessary to manage the risks, which is an important of choosing share intended. Up to now a relevan classic says “Don’t put all of your eggs in one basket”. Therefore the share diversification is necessary as an investment choise to form a portfolio. The main purpose of this research are the ascertain the optimal portfolio by using single index model. Population to be chosen in the study is firms listed on Kompas-100. However, the simple included are only 33 firms that present continuously simultan on Kompas-100. This research results showed that there were ten stocks of portfolio candidates from thirty-three stocks researched with the cut-off-point (C*) of 0,016495. And ten of stocks which have the biggest excess return to beta (ERB) make up the optimal portfolio. Allocation of these funds comprises 1,1365% for Astra Agro Lestari Inc stock (AALI), 14,3439% for Astra International Inc stock (ASII), 5,072% for Cahroen Pokphand Indonesia Inc Stock (CPIN), 14,9259% for Gudang Garam Inc stock (GGRM), 10,1117% for Gajah Tunggal Inc stock (GJTL), 6,0152% for Indofood Sukses Makmur Inc stock (INDF), 7,7498% for Indocement Tunggal Perkasa Inc (INTP), 4,5907% for Kalbe Farma Inc stock (KLBF), 11,8773% for United Tractor Inc stock (UNTR), 24,177% for Unilever Indonesia Inc stock (UNVR). The portfolio rate of return of 3,62999% and risk of 9,45729%. The conclusion of this study is that rational investor will invest their funds in optimal portfolio comprises stocks candidates portfolio.
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