The emergence of low-cost and mature technologies in wireless communication, visual sensor devices, and digital signal processing facilitate of wireless multimedia sensor networks (WMSNs). Like sensor networks which respond to sensory information such as humidity and temperature, WMSN interconnects autonomous devices for capturing and processing video and audio sensory information. WMSNs will enable new applications such as multimedia surveillance, traffic enforcement and control systems, advanced health care delivery, structural health monitoring, and industrial process control. Due to WMSNs have some novel features which stem the fact that some of the sensor node will have video cameras and higher computation capabilities. Consequently, the WMSNs bring new security of challenges as well as new opportunities. This paper presents WMSNs application and security challenges.
In Monitoring Temperature and humidity for Server Room is a system based an IoT, which provides information while regulating temperature and humidity inside the server room. There are various types of sensors in the prototype, using all parameters of temperature and humidity that can be measured. This system can be used to monitor the temperature or humidity of a particular room or place. The proposed system continuously sends data to the cloud to monitor data from anywhere. For direct monitoring and regulation, the system is equipped with features to provide notifications to users through the telegram application dynamically. The prototype brain is a Raspberry and Arduino module. Temperature and Humidity Sensor (DHT11) are connected to Raspberry. Every time these values exceed the threshold selected for each notification given to the user via the telegram application by utilizing the telegram API. Based on the notification, the user can remotely set the room temperature by giving an order via the telegram application. The Proposed System effectively monitors and dynamically controls commands via telegram applications or through web server applications.
Peningkatan jumlah informasi yang tersedia di internet disamping memberikan manfaat, juga memunculkan masalah tersendiri. Mesin pencarian modern sudah cukup baik untuk mendapatkan informasi tertentu. Namun jumlah informasi yang banyak terkadang menyebabkan pencari informasi kesulitan mendapatkan intisari dari informasi yang dicari. Kondisi ini dikenal sebagai information overload. Peringkasan multidokumen otomatis adalah salah satu solusi untuk masalah ini. Meskipun metode peringkasan multidokumen otomatis sudah dikembangkan sejak 20 tahun lalu, penerapannya dalam Bahasa Indonesia masih terbatas. Dalam tulisan ini, kami melaporkan hasil penelitian yang dilakukan pada peringkasan multidokumen berbahasa Indonesia. Artikel dengan topik penyakit menular merupakan salah satu studi kasus yang menarik untuk peringkasan multidokumen Bahasa Indonesia. Informasi mengenai penyakit menular dibutuhkan oleh masyarakat sehingga tersedia banyak informasi mengenai topik ini di internet. Kondisi ini menyebabkan kemungkinan information overload untuk pencarian dalam topik ini.
Dalam penelitian ini, diterapkan peringkasan multidokumen otomatis dengan menggunakan Log-Likelihood Ratio (LLR) untuk mendapatkan topic signature, dan Maximal Marginal Relevance pada artikel dengan topik penyakit menular untuk mendapatkan ringkasan dengan sedikit perulangan informasi. Penelitian ini menghasilkan ringkasan dengan nilai akurasi sebesar 0,4 (dengan menggunakan ROUGE-S9). Selain itu, dalam penelitian ini didapatkan bahwa topic signature (beserta akurasinya) memegang peran penting dalam proses peringkasan dokumen otomatis.
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