AMA, Agricultural Mechanization in Asia, Africa and Latin America (AMA) (issn: 00845841) is a peer reviewed journal first published online after indexing scopus in 1982. AMA is published by Farm Machinery Industrial Research Corp and Shin-Norinsha Co. AMA publishes every subjects of general engineering and agricultural engineering.
AMA, Agricultural Mechanization in Asia, Africa and Latin America (ISSN: 00845841) is a peer-reviewed journal. The journal covers Agricultural and Biological Sciences and all sort of engineering topic. the journal's scopes are in the following fields but not limited to:Azerbaijan Medical Journal Gongcheng Kexue Yu Jishu/Advanced Engineering Science Zhonghua er bi yan hou tou jing wai ke za zhi = Chinese journal of otorhinolaryngology head and neck surgery Interventional Pulmonology
There are several distinct tools to identify orthologous gene sequence from homologous gene sequence. Identification of orthologous gene is a major issue, and it is found that orthologous genes are responsible for any genetic disorders. In this paper we are focusing on hematologic disorders and found that orthologous genes are primary actor of haematological disorders. Here we present a novel approach to explore orthologous genes in homologous hematologic gene sequence data and discover the relationship between hematologic genetic disorders through phylogenetic tree reconstruction using UPGMA (Unweighted Pair Group Method with Arithmetic Mean) method
This paper represents a hardware and software co-design for real-time video processing module which is a vital part of a smart camera system [1-3]. Video surveillance is the main application of this work. As part of implementation required peripherals, the platform contains a Zynq board device and the OV7670 camera module. In order to develop the required hardware and software co-design in an integrated fashion, Xilinx VIVADO 15.2 and SDK 15.2 is used. To implement the real-time motion picture capture and display functionality of the camera module, OV7670 camera and a VGA monitor have been interfaced with the Zynq platform. This interfacing uses p mod connectors and VGA connector on the Zynq board. The programmable logic is done using the VHDL coding. The application software, written in C language, runs on top of a hardware platform which is opted as standalone in the SDK and uses the provided application programmer interface (API) by the hardware platform. From the device utilization summary, we can observe that, with the proposed hardware and software co-design based video acquisition module, are sufficient for implementing any reasonably complex video processing application in real-time
The purpose of this research is to analyze sound characteristics of low frequency noise of dehumidifier and moreover, utilize it as a method to remove and reduce low frequency noise. Common noises made from dehumidifiers can be seen into two perspectives; fan noise and low frequency noise. Especially, low frequency noise of dehumidifier tends to be louder than home electronic devices which have similar characteristics. Also, depending on the height of the machine, characteristics of noise may vary due to its structural feature. Therefore, this research studies those causes and research on fundamental parameters for identifying what makes low frequency noise and how to reduce it
This research looks into parameters for reducing errors of judgment intoxication by comparing speech characteristics before and after drinking using speech analysis. In this study a drinking is tested to speech signal under overloading condition, there are many of some errors in unstable conditions. Therefore, it should be determined by using judgment algorithm that is not affected by overloading. So we have searched valid frames using energy of speech before and after drinking were extracted and drinking possibility was identified by using deviation from the distance of frames. In terms of speech frame energy its value changes greatly in overloaded but energy ratio largely stays the same in normal. Therefore, after applying overloaded signals to proposed method, we get this similar result with a normal input signal was obtained
Alarm Reminder Locking (ARL) Security System mainly focuses on a door security system, which can install in the door area to increase the security level for home, office room, hostel or other places. This system used Arduino Controller and Global System for Mobile Communication (GSM) technology, which is the cheapest source to embed the security system to transmit the Short Message Service (SMS) alert data. This device integrates three functions that are alarming, reminder and locked for a purpose of safety and connecting via mobile phone to remind the users through SMS. This device has a 3 modes of operation which is the system will be functional when the door is not improperly closed for the first reminder with the buzzer alert. The second mode is automated locked will be activated when users closed the door, but did not lock manually. Intrusion mode will activate while auto locked modes are interrupted without proper access. All this integrated system will provide high security access against intrusion occurrence. This security device will bring a new benefit to the user to consider about the user- friendly application, low power consumption and reasonable cost to install